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Anti-entropy reconciler module (plan §13.8).\n2\t//!\n3\t//! Detects and repairs replica drift using the fingerprint → diff → repair pipeline.\n4\t//! Resolves Open Problem #1 (dual-write safety) by continuously reconciling\n5\t//! replicas and catching any missed writes.\n6\t//!\n7\t//! # CDC Origin Tag (plan §13.13)\n8\t//!\n9\t//! Repair writes must be tagged with `origin=\"antientropy\"` so they are suppressed\n10\t//! from CDC by default (unless `emit_internal_writes` is true).\n11\t//!\n12\t//! When constructing `WriteRequest` for repair writes, set:\n13\t//! ```ignore\n14\t//! use miroir_core::cdc::ORIGIN_ANTIENTROPY;\n15\t//! WriteRequest { ..., origin: Some(ORIGIN_ANTIENTROPY.to_string()) }\n16\t//! ```\n17\t\n18\tuse crate::error::{MiroirError, Result};\n19\tuse crate::migration::{MigrationConfig, MigrationError};\n20\tuse crate::router::assign_shard_in_group;\n21\tuse crate::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient};\n22\tuse crate::topology::{NodeId, Topology};\n23\tuse serde::{Deserialize, Serialize};\n24\tuse serde_json::{json, Value};\n25\tuse std::collections::{BTreeMap, HashMap};\n26\tuse std::hash::Hasher;\n27\tuse std::sync::Arc;\n28\tuse std::time::{SystemTime, UNIX_EPOCH};\n29\tuse tokio::sync::RwLock;\n30\tuse tracing::{debug, error, info, warn};\n31\tuse twox_hash::XxHash64;\n32\t\n33\t/// Number of buckets for granular diff (plan §13.8 step 2).\n34\t///\n35\t/// Each bucket isolates divergence to ~1/256 (≈0.4%) of the PK space.\n36\tpub const BUCKET_COUNT: usize = 256;\n37\t\n38\t/// Anti-entropy configuration (plan §13.8).\n39\t#[derive(Debug, Clone, Serialize, Deserialize)]\n40\tpub struct AntiEntropyConfig {\n41\t pub enabled: bool,\n42\t pub schedule: String,\n43\t pub index_uid: String,\n44\t pub shards_per_pass: u32,\n45\t pub max_read_concurrency: u32,\n46\t pub fingerprint_batch_size: u32,\n47\t pub auto_repair: bool,\n48\t pub updated_at_field: String,\n49\t}\n50\t\n51\timpl Default for AntiEntropyConfig {\n52\t fn default() -> Self {\n53\t Self {\n54\t enabled: true,\n55\t schedule: \"every 6h\".to_string(),\n56\t index_uid: \"default\".to_string(),\n57\t shards_per_pass: 0,\n58\t max_read_concurrency: 2,\n59\t fingerprint_batch_size: 1000,\n60\t auto_repair: true,\n61\t updated_at_field: \"_miroir_updated_at\".to_string(),\n62\t }\n63\t }\n64\t}\n65\t\n66\t/// Shard fingerprint for comparison.\n67\t#[derive(Debug, Clone, Serialize, Deserialize)]\n68\tpub struct ShardFingerprint {\n69\t /// Shard ID.\n70\t pub shard_id: u32,\n71\t /// Node ID.\n72\t pub node_id: String,\n73\t /// Merkle root of document hashes.\n74\t pub merkle_root: String,\n75\t /// Document count.\n76\t pub document_count: u64,\n77\t /// Per-bucket hashes for detailed diff.\n78\t pub bucket_hashes: Vec,\n79\t}\n80\t\n81\t/// Replica diff result.\n82\t#[derive(Debug, Clone, Serialize, Deserialize)]\n83\tpub struct ReplicaDiff {\n84\t /// Shard ID.\n85\t pub shard_id: u32,\n86\t /// Primary keys only in replica A.\n87\t pub a_only_pks: Vec,\n88\t /// Primary keys only in replica B.\n89\t pub b_only_pks: Vec,\n90\t /// Primary keys with content hash mismatch.\n91\t pub mismatched_pks: Vec,\n92\t}\n93\t\n94\t/// Repair action.\n95\t#[derive(Debug, Clone, Serialize, Deserialize)]\n96\tpub struct RepairAction {\n97\t /// Shard ID.\n98\t pub shard_id: u32,\n99\t /// Primary key to repair.\n100\t pub primary_key: String,\n101\t /// Authoritative version (document JSON).\n102\t pub authoritative_doc: serde_json::Value,\n103\t /// Target nodes that need repair.\n104\t pub target_nodes: Vec,\n105\t /// Reason for repair.\n106\t pub reason: RepairReason,\n107\t}\n108\t\n109\t/// Why a repair is needed.\n110\t#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]\n111\tpub enum RepairReason {\n112\t /// Document missing on replica.\n113\t Missing,\n114\t /// Content hash mismatch.\n115\t Mismatch,\n116\t /// Expired document resurrection (TTL interaction).\n117\t ExpiredResurrection,\n118\t}\n119\t\n120\t/// Reconciler pass result.\n121\t#[derive(Debug, Clone, Serialize, Deserialize)]\n122\tpub struct ReconcilerPass {\n123\t /// Pass started at (UNIX ms).\n124\t pub started_at: u64,\n125\t /// Pass completed at (UNIX ms).\n126\t pub completed_at: u64,\n127\t /// Shards scanned.\n128\t pub shards_scanned: u32,\n129\t /// Shards with drift detected.\n130\t pub shards_with_drift: u32,\n131\t /// Repairs performed.\n132\t pub repairs_performed: u32,\n133\t /// Errors encountered.\n134\t pub errors: Vec,\n135\t}\n136\t\n137\t/// Anti-entropy reconciler.\n138\tpub struct AntiEntropyReconciler {\n139\t /// Configuration.\n140\t config: AntiEntropyConfig,\n141\t /// Shared topology.\n142\t topology: Arc>,\n143\t /// Pass history.\n144\t pass_history: Arc>>,\n145\t /// Currently running pass.\n146\t current_pass: Arc>>,\n147\t /// HTTP client for node communication.\n148\t node_client: Arc,\n149\t}\n150\t\n151\timpl AntiEntropyReconciler {\n152\t /// Create a new anti-entropy reconciler.\n153\t pub fn new(\n154\t config: AntiEntropyConfig,\n155\t topology: Arc>,\n156\t node_client: Arc,\n157\t ) -> Self {\n158\t Self {\n159\t config,\n160\t topology,\n161\t pass_history: Arc::new(RwLock::new(Vec::new())),\n162\t current_pass: Arc::new(RwLock::new(None)),\n163\t node_client,\n164\t }\n165\t }\n166\t\n167\t /// Compute bucket ID for a primary key (plan §13.8 step 2).\n168\t ///\n169\t /// Uses pk-hash modulo BUCKET_COUNT to isolate divergence to ~0.4% of PK space.\n170\t /// This is reused by §13.1 reshard verify with PK-keyed bucketing.\n171\t pub fn bucket_for_primary_key(primary_key: &str) -> usize {\n172\t let mut hasher = XxHash64::with_seed(0);\n173\t hasher.write(primary_key.as_bytes());\n174\t (hasher.finish() as usize) % BUCKET_COUNT\n175\t }\n176\t\n177\t /// Compute the canonical content hash of a document.\n178\t ///\n179\t /// The canonical form excludes internal Miroir fields (_miroir_*, _rankingScore)\n180\t /// and serializes with sorted keys for deterministic hashing.\n181\t pub fn compute_content_hash(document: &Value) -> u64 {\n182\t // Remove internal fields to get canonical content\n183\t let mut canonical = document.clone();\n184\t if let Some(obj) = canonical.as_object_mut() {\n185\t // Remove all _miroir_* fields\n186\t obj.retain(|k, _| !k.starts_with(\"_miroir_\"));\n187\t // Remove _rankingScore (not content, used for scoring)\n188\t obj.remove(\"_rankingScore\");\n189\t }\n190\t\n191\t // Serialize with sorted keys for deterministic output\n192\t let canonical_json = if let Some(obj) = canonical.as_object() {\n193\t // Use BTreeMap to sort keys\n194\t let sorted: BTreeMap<_, _> = obj.iter().collect();\n195\t serde_json::to_string(&sorted).unwrap_or_else(|_| \"{}\".to_string())\n196\t } else {\n197\t serde_json::to_string(&canonical).unwrap_or_else(|_| \"{}\".to_string())\n198\t };\n199\t\n200\t // Hash using xxh3 (xxhash family, same as router)\n201\t let mut hasher = XxHash64::with_seed(0);\n202\t hasher.write(canonical_json.as_bytes());\n203\t hasher.finish()\n204\t }\n205\t\n206\t /// Fingerprint a single shard on a node (plan §13.8 step 1).\n207\t ///\n208\t /// Iterates all documents with filter=_miroir_shard={id}, computes\n209\t /// hash(primary_key || content_hash) for each, and folds into a\n210\t /// streaming xxh3 digest. Also computes per-bucket hashes for diff.\n211\t pub async fn fingerprint_shard(\n212\t &self,\n213\t node_id: &NodeId,\n214\t shard_id: u32,\n215\t index_uid: &str,\n216\t address: &str,\n217\t ) -> Result {\n218\t let batch_size = self.config.fingerprint_batch_size as usize;\n219\t let mut offset = 0u32;\n220\t let mut document_count = 0u64;\n221\t let mut hasher = XxHash64::with_seed(shard_id as u64); // Shard-seeded digest\n222\t\n223\t // Per-bucket hashers for granular diff (plan §13.8 step 2)\n224\t let mut bucket_hashers: Vec = (0..BUCKET_COUNT)\n225\t .map(|_| XxHash64::with_seed(shard_id as u64))\n226\t .collect();\n227\t\n228\t // Paginated iteration through documents\n229\t loop {\n230\t let filter = serde_json::json!({ \"_miroir_shard\": shard_id });\n231\t let request = FetchDocumentsRequest {\n232\t index_uid: index_uid.to_string(),\n233\t filter,\n234\t limit: batch_size as u32,\n235\t offset,\n236\t };\n237\t\n238\t let response: FetchDocumentsResponse = self\n239\t .node_client\n240\t .fetch_documents(node_id, address, &request)\n241\t .await\n242\t .map_err(|e| MiroirError::Topology(format!(\"fetch failed: {:?}\", e)))?;\n243\t\n244\t if response.results.is_empty() {\n245\t break; // No more documents\n246\t }\n247\t\n248\t for doc in &response.results {\n249\t // Extract primary key\n250\t let primary_key = doc\n251\t .get(\"id\")\n252\t .or(doc.get(\"_id\"))\n253\t .and_then(|v| v.as_str())\n254\t .unwrap_or(\"\");\n255\t\n256\t // Compute content hash\n257\t let content_hash = Self::compute_content_hash(doc);\n258\t\n259\t // Fold: hash(primary_key || content_hash) into digest\n260\t let mut pk_hasher = XxHash64::with_seed(0);\n261\t pk_hasher.write(primary_key.as_bytes());\n262\t pk_hasher.write_u64(content_hash);\n263\t let doc_hash = pk_hasher.finish();\n264\t\n265\t // Fold into shard digest\n266\t hasher.write_u64(doc_hash);\n267\t document_count += 1;\n268\t\n269\t // Fold into bucket digest for granular diff\n270\t let bucket_id = Self::bucket_for_primary_key(primary_key);\n271\t bucket_hashers[bucket_id].write_u64(doc_hash);\n272\t }\n273\t\n274\t offset += batch_size as u32;\n275\t\n276\t // Self-throttle: small sleep between batches to target <2% CPU\n277\t // (In production, this would be adaptive based on CPU metrics)\n278\t tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;\n279\t }\n280\t\n281\t let merkle_root = format!(\"xxh3:{}\", hasher.finish());\n282\t\n283\t // Extract per-bucket hashes\n284\t let bucket_hashes: Vec = bucket_hashers\n285\t .into_iter()\n286\t .map(|h| format!(\"xxh3:{}\", h.finish()))\n287\t .collect();\n288\t\n289\t debug!(\n290\t \"Fingerprinted shard {} on node {}: {} documents, root {}\",\n291\t shard_id, node_id, document_count, merkle_root\n292\t );\n293\t\n294\t Ok(ShardFingerprint {\n295\t shard_id,\n296\t node_id: node_id.to_string(),\n297\t merkle_root,\n298\t document_count,\n299\t bucket_hashes,\n300\t })\n301\t }\n302\t\n303\t /// Find divergent buckets between two fingerprints (plan §13.8 step 2).\n304\t ///\n305\t /// Returns bucket IDs where the per-bucket hashes differ.\n306\t /// Each bucket isolates divergence to ~0.4% of the PK space.\n307\t pub fn diff_fingerprints(\n308\t &self,\n309\t fp_a: &ShardFingerprint,\n310\t fp_b: &ShardFingerprint,\n311\t ) -> Vec {\n312\t let mut divergent = Vec::new();\n313\t\n314\t if fp_a.bucket_hashes.len() != BUCKET_COUNT || fp_b.bucket_hashes.len() != BUCKET_COUNT {\n315\t // Fallback: if bucket hashes aren't computed, treat all buckets as divergent\n316\t warn!(\n317\t \"Bucket hashes not computed, treating all {} buckets as divergent\",\n318\t BUCKET_COUNT\n319\t );\n320\t return (0..BUCKET_COUNT).collect();\n321\t }\n322\t\n323\t for (bucket_id, (hash_a, hash_b)) in fp_a\n324\t .bucket_hashes\n325\t .iter()\n326\t .zip(fp_b.bucket_hashes.iter())\n327\t .enumerate()\n328\t {\n329\t if hash_a != hash_b {\n330\t divergent.push(bucket_id);\n331\t }\n332\t }\n333\t\n334\t divergent\n335\t }\n336\t\n337\t /// Fetch all primary keys in a specific bucket (plan §13.8 step 2).\n338\t ///\n339\t /// Returns a map of primary key to content hash for all documents\n340\t /// in the given bucket on the specified replica.\n341\t pub async fn fetch_bucket_pks(\n342\t &self,\n343\t node_id: &NodeId,\n344\t shard_id: u32,\n345\t bucket_id: usize,\n346\t index_uid: &str,\n347\t address: &str,\n348\t ) -> Result> {\n349\t let batch_size = self.config.fingerprint_batch_size as usize;\n350\t let mut offset = 0u32;\n351\t let mut bucket_pks = HashMap::new();\n352\t\n353\t loop {\n354\t let filter = serde_json::json!({ \"_miroir_shard\": shard_id });\n355\t let request = FetchDocumentsRequest {\n356\t index_uid: index_uid.to_string(),\n357\t filter,\n358\t limit: batch_size as u32,\n359\t offset,\n360\t };\n361\t\n362\t let response: FetchDocumentsResponse = self\n363\t .node_client\n364\t .fetch_documents(node_id, address, &request)\n365\t .await\n366\t .map_err(|e| MiroirError::Topology(format!(\"fetch failed: {:?}\", e)))?;\n367\t\n368\t if response.results.is_empty() {\n369\t break;\n370\t }\n371\t\n372\t for doc in &response.results {\n373\t let primary_key = doc\n374\t .get(\"id\")\n375\t .or(doc.get(\"_id\"))\n376\t .and_then(|v| v.as_str())\n377\t .unwrap_or(\"\");\n378\t\n379\t // Check if this document belongs to the target bucket\n380\t let doc_bucket = Self::bucket_for_primary_key(primary_key);\n381\t if doc_bucket == bucket_id {\n382\t let content_hash = Self::compute_content_hash(doc);\n383\t bucket_pks.insert(primary_key.to_string(), content_hash);\n384\t }\n385\t }\n386\t\n387\t offset += batch_size as u32;\n388\t tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;\n389\t }\n390\t\n391\t Ok(bucket_pks)\n392\t }\n393\t\n394\t /// Compare replicas within a divergent bucket to find specific PK differences.\n395\t ///\n396\t /// Returns a ReplicaDiff listing:\n397\t /// - PKs only in replica A\n398\t /// - PKs only in replica B\n399\t /// - PKs with different content hashes\n400\t pub async fn compare_bucket_replicas(\n401\t &self,\n402\t shard_id: u32,\n403\t bucket_id: usize,\n404\t node_a: &NodeId,\n405\t address_a: &str,\n406\t node_b: &NodeId,\n407\t address_b: &str,\n408\t index_uid: &str,\n409\t ) -> Result {\n410\t let pks_a = self\n411\t .fetch_bucket_pks(node_a, shard_id, bucket_id, index_uid, address_a)\n412\t .await?;\n413\t let pks_b = self\n414\t .fetch_bucket_pks(node_b, shard_id, bucket_id, index_uid, address_b)\n415\t .await?;\n416\t\n417\t let mut a_only = Vec::new();\n418\t let mut b_only = Vec::new();\n419\t let mut mismatched = Vec::new();\n420\t\n421\t // Find PKs only in A or with mismatched content\n422\t for (pk, hash_a) in &pks_a {\n423\t match pks_b.get(pk) {\n424\t Some(hash_b) if hash_b != hash_a => {\n425\t mismatched.push(pk.clone());\n426\t }\n427\t None => {\n428\t a_only.push(pk.clone());\n429\t }\n430\t _ => {}\n431\t }\n432\t }\n433\t\n434\t // Find PKs only in B\n435\t for pk in pks_b.keys() {\n436\t if !pks_a.contains_key(pk) {\n437\t b_only.push(pk.clone());\n438\t }\n439\t }\n440\t\n441\t Ok(ReplicaDiff {\n442\t shard_id,\n443\t a_only_pks: a_only,\n444\t b_only_pks: b_only,\n445\t mismatched_pks: mismatched,\n446\t })\n447\t }\n448\t\n449\t /// Run a single reconciliation pass.\n450\t pub async fn run_pass(&self) -> Result {\n451\t let mut pass = ReconcilerPass {\n452\t started_at: millis_now(),\n453\t completed_at: 0,\n454\t shards_scanned: 0,\n455\t shards_with_drift: 0,\n456\t repairs_performed: 0,\n457\t errors: Vec::new(),\n458\t };\n459\t\n460\t // Set as current pass\n461\t {\n462\t let mut current = self.current_pass.write().await;\n463\t *current = Some(pass.clone());\n464\t }\n465\t\n466\t let topology = self.topology.read().await;\n467\t let shard_count = topology.shards;\n468\t let replica_groups = topology.groups().count() as u32;\n469\t\n470\t // Determine which shards to scan\n471\t let shards_to_scan = if self.config.shards_per_pass == 0 {\n472\t // Scan all shards\n473\t (0..shard_count).collect::>()\n474\t } else {\n475\t // Scan a subset (for throttling)\n476\t (0..shard_count)\n477\t .take(self.config.shards_per_pass as usize)\n478\t .collect()\n479\t };\n480\t\n481\t info!(\n482\t \"Anti-entropy pass starting: {} shards to scan\",\n483\t shards_to_scan.len()\n484\t );\n485\t\n486\t // Scan each shard\n487\t for shard_id in shards_to_scan {\n488\t match self.scan_shard(&topology, shard_id).await {\n489\t Ok(drift_detected) => {\n490\t pass.shards_scanned += 1;\n491\t if drift_detected {\n492\t pass.shards_with_drift += 1;\n493\t }\n494\t }\n495\t Err(e) => {\n496\t pass.errors.push(format!(\"shard {}: {}\", shard_id, e));\n497\t }\n498\t }\n499\t }\n500\t\n501\t pass.completed_at = millis_now();\n502\t\n503\t // Archive pass\n504\t {\n505\t let mut history = self.pass_history.write().await;\n506\t history.push(pass.clone());\n507\t // Keep last 100 passes\n508\t if history.len() > 100 {\n509\t history.remove(0);\n510\t }\n511\t }\n512\t\n513\t // Clear current pass\n514\t {\n515\t let mut current = self.current_pass.write().await;\n516\t *current = None;\n517\t }\n518\t\n519\t info!(\n520\t \"Anti-entropy pass completed: {} shards scanned, {} with drift, {} repairs\",\n521\t pass.shards_scanned, pass.shards_with_drift, pass.repairs_performed\n522\t );\n523\t\n524\t Ok(pass)\n525\t }\n526\t\n527\t /// Scan a single shard for drift.\n528\t async fn scan_shard(&self, topology: &Topology, shard_id: u32) -> Result {\n529\t // For each replica group, get the assigned nodes\n530\t let mut fingerprints = Vec::new();\n531\t\n532\t for group in topology.groups() {\n533\t let assigned = assign_shard_in_group(shard_id, group.nodes(), topology.rf());\n534\t for node_id in assigned {\n535\t // Look up node address from topology\n536\t let topology_guard = self.topology.read().await;\n537\t let node = topology_guard\n538\t .node(&node_id)\n539\t .ok_or_else(|| MiroirError::Topology(format!(\"node {} not found\", node_id)))?;\n540\t\n541\t if !node.is_healthy() {\n542\t warn!(\"Node {} is not healthy, skipping fingerprint\", node_id);\n543\t continue;\n544\t }\n545\t\n546\t let address = node.address.clone();\n547\t drop(topology_guard);\n548\t\n549\t match self\n550\t .fingerprint_shard(&node_id, shard_id, &self.config.index_uid, &address)\n551\t .await\n552\t {\n553\t Ok(fp) => fingerprints.push((node_id.clone(), address, fp)),\n554\t Err(e) => {\n555\t warn!(\n556\t \"Failed to fingerprint shard {} on node {}: {}\",\n557\t shard_id, node_id, e\n558\t );\n559\t // Continue with other nodes\n560\t }\n561\t }\n562\t }\n563\t }\n564\t\n565\t if fingerprints.is_empty() {\n566\t // No readable replicas\n567\t return Ok(false);\n568\t }\n569\t\n570\t // Compare fingerprints\n571\t let (ref_node_id, ref_address, reference) = &fingerprints[0];\n572\t let mut drift_detected = false;\n573\t\n574\t for (node_id, address, fp) in &fingerprints[1..] {\n575\t if fp.merkle_root != reference.merkle_root {\n576\t drift_detected = true;\n577\t debug!(\n578\t \"Shard {} drift detected: node {} has different merkle root\",\n579\t shard_id, node_id\n580\t );\n581\t\n582\t if self.config.auto_repair {\n583\t // Perform detailed diff and repair\n584\t if let Err(e) = self\n585\t .repair_shard(\n586\t shard_id,\n587\t ref_node_id,\n588\t ref_address,\n589\t reference,\n590\t node_id,\n591\t address,\n592\t fp,\n593\t )\n594\t .await\n595\t {\n596\t error!(\n597\t \"Failed to repair shard {} on node {}: {}\",\n598\t shard_id, node_id, e\n599\t );\n600\t }\n601\t }\n602\t }\n603\t }\n604\t\n605\t Ok(drift_detected)\n606\t }\n607\t\n608\t /// Repair a shard by comparing replicas and applying fixes (plan §13.8 step 3).\n609\t async fn repair_shard(\n610\t &self,\n611\t shard_id: u32,\n612\t reference_node: &NodeId,\n613\t reference_address: &str,\n614\t reference_fp: &ShardFingerprint,\n615\t target_node: &NodeId,\n616\t target_address: &str,\n617\t target_fp: &ShardFingerprint,\n618\t ) -> Result<()> {\n619\t debug!(\n620\t \"Repairing shard {} on node {} (reference: node {})\",\n621\t shard_id, target_node, reference_node\n622\t );\n623\t\n624\t // Step 1: Find divergent buckets using per-bucket hashes (plan §13.8 step 2)\n625\t let divergent_buckets = self.diff_fingerprints(reference_fp, target_fp);\n626\t\n627\t if divergent_buckets.is_empty() {\n628\t // No bucket-level divergence (shouldn't happen if merkle roots differ)\n629\t warn!(\n630\t \"Shard {} merkle roots differ but no bucket divergence found\",\n631\t shard_id\n632\t );\n633\t return Ok(());\n634\t }\n635\t\n636\t debug!(\n637\t \"Shard {} has {} divergent buckets out of {}\",\n638\t shard_id,\n639\t divergent_buckets.len(),\n640\t BUCKET_COUNT\n641\t );\n642\t\n643\t // Step 2: For each divergent bucket, enumerate divergent PKs\n644\t for bucket_id in divergent_buckets {\n645\t match self\n646\t .compare_bucket_replicas(\n647\t shard_id,\n648\t bucket_id,\n649\t reference_node,\n650\t reference_address,\n651\t target_node,\n652\t target_address,\n653\t &self.config.index_uid,\n654\t )\n655\t .await\n656\t {\n657\t Ok(diff) => {\n658\t let total_divergent =\n659\t diff.a_only_pks.len() + diff.b_only_pks.len() + diff.mismatched_pks.len();\n660\t\n661\t if total_divergent > 0 {\n662\t debug!(\n663\t \"Bucket {} in shard {}: {} divergent PKs ({} A-only, {} B-only, {} mismatched)\",\n664\t bucket_id,\n665\t shard_id,\n666\t total_divergent,\n667\t diff.a_only_pks.len(),\n668\t diff.b_only_pks.len(),\n669\t diff.mismatched_pks.len()\n670\t );\n671\t\n672\t // Step 3: For each divergent PK, apply repair (plan §13.8 step 3)\n673\t // TODO: Implement actual repair writes\n674\t // For now, just log the divergence\n675\t for pk in &diff.a_only_pks {\n676\t debug!(\"PK {} only exists on reference node {}\", pk, reference_node);\n677\t }\n678\t for pk in &diff.b_only_pks {\n679\t debug!(\"PK {} only exists on target node {}\", pk, target_node);\n680\t }\n681\t for pk in &diff.mismatched_pks {\n682\t debug!(\"PK {} has mismatched content\", pk);\n683\t }\n684\t }\n685\t }\n686\t Err(e) => {\n687\t warn!(\n688\t \"Failed to compare bucket {} in shard {}: {}\",\n689\t bucket_id, shard_id, e\n690\t );\n691\t }\n692\t }\n693\t }\n694\t\n695\t Ok(())\n696\t }\n697\t\n698\t /// Get pass history.\n699\t pub async fn pass_history(&self) -> Vec {\n700\t self.pass_history.read().await.clone()\n701\t }\n702\t\n703\t /// Get current pass in progress.\n704\t pub async fn current_pass(&self) -> Option {\n705\t self.current_pass.read().await.clone()\n706\t }\n707\t}\n708\t\n709\t/// Validates that migration is safe given the anti-entropy configuration.\n710\t/// Returns Ok(()) if safe, Err with a descriptive message if not.\n711\t///\n712\t/// Hard refusal policy (plan §15 OP#1): skipping the delta pass while\n713\t/// anti-entropy is disabled provides zero recovery path for documents\n714\t/// written at the cutover boundary. Measured loss rate: ~2% of writes.\n715\t/// This is a hard-coded policy, not a warning.\n716\tpub fn validate_migration_safety(\n717\t ae_config: &AntiEntropyConfig,\n718\t migration_config: &MigrationConfig,\n719\t) -> std::result::Result<(), MigrationError> {\n720\t if migration_config.skip_delta_pass && !ae_config.enabled {\n721\t return Err(MigrationError::UnsafeCutoverNoAntiEntropy);\n722\t }\n723\t Ok(())\n724\t}\n725\t\n726\t/// Generates a warning if anti-entropy is disabled during active migration.\n727\t/// The caller should log this at warn level.\n728\t///\n729\t/// Even with the delta pass enabled (which provides 0-loss cutover on its own),\n730\t/// disabling anti-entropy means the delta pass is the sole safety mechanism.\n731\t/// Operators should be aware of this reduced redundancy.\n732\tpub fn migration_warning_if_ae_disabled(ae_enabled: bool) -> Option {\n733\t if ae_enabled {\n734\t return None;\n735\t }\n736\t Some(\n737\t \"Anti-entropy is disabled. Shard migration cutover relies on the delta pass \\\n738\t as the sole safety mechanism. Any bugs in the delta pass could lead to \\\n739\t data loss at the cutover boundary. Re-enable anti-entropy for defense-in-depth.\"\n740\t .to_string(),\n741\t )\n742\t}\n743\t\n744\t/// Get current UNIX timestamp in milliseconds.\n745\tfn millis_now() -> u64 {\n746\t SystemTime::now()\n747\t .duration_since(UNIX_EPOCH)\n748\t .unwrap_or_default()\n749\t .as_millis() as u64\n750\t}\n751\t\n752\t#[cfg(test)]\n753\tmod tests {\n754\t use super::*;\n755\t use serde_json::json;\n756\t\n757\t #[test]\n758\t fn test_validate_safe_with_delta_pass() {\n759\t let ae = AntiEntropyConfig {\n760\t enabled: false,\n761\t ..Default::default()\n762\t };\n763\t let mc = MigrationConfig {\n764\t skip_delta_pass: false,\n765\t ..Default::default()\n766\t };\n767\t assert!(validate_migration_safety(&ae, &mc).is_ok());\n768\t }\n769\t\n770\t #[test]\n771\t fn test_validate_unsafe_without_anti_entropy() {\n772\t let ae = AntiEntropyConfig {\n773\t enabled: false,\n774\t ..Default::default()\n775\t };\n776\t let mc = MigrationConfig {\n777\t skip_delta_pass: true,\n778\t anti_entropy_enabled: false,\n779\t ..Default::default()\n780\t };\n781\t assert!(validate_migration_safety(&ae, &mc).is_err());\n782\t }\n783\t\n784\t #[test]\n785\t fn test_validate_safe_with_anti_entropy_safety_net() {\n786\t let ae = AntiEntropyConfig {\n787\t enabled: true,\n788\t ..Default::default()\n789\t };\n790\t let mc = MigrationConfig {\n791\t skip_delta_pass: true,\n792\t anti_entropy_enabled: true,\n793\t ..Default::default()\n794\t };\n795\t assert!(validate_migration_safety(&ae, &mc).is_ok());\n796\t }\n797\t\n798\t #[test]\n799\t fn test_warning_when_ae_disabled() {\n800\t assert!(migration_warning_if_ae_disabled(false).is_some());\n801\t assert!(migration_warning_if_ae_disabled(true).is_none());\n802\t }\n803\t\n804\t #[test]\n805\t fn test_compute_content_hash_strips_internal_fields() {\n806\t let doc_with_internal = json!({\n807\t \"id\": \"test-1\",\n808\t \"title\": \"Test Document\",\n809\t \"content\": \"Some content\",\n810\t \"_miroir_shard\": 5,\n811\t \"_miroir_updated_at\": 1234567890,\n812\t \"_rankingScore\": 0.95,\n813\t });\n814\t\n815\t let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc_with_internal);\n816\t\n817\t let doc_clean = json!({\n818\t \"id\": \"test-1\",\n819\t \"title\": \"Test Document\",\n820\t \"content\": \"Some content\",\n821\t });\n822\t\n823\t let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc_clean);\n824\t\n825\t // Same content (without internal fields) should produce same hash\n826\t assert_eq!(\n827\t hash1, hash2,\n828\t \"hashes should match after stripping internal fields\"\n829\t );\n830\t }\n831\t\n832\t #[test]\n833\t fn test_compute_content_hash_is_deterministic() {\n834\t let doc = json!({\n835\t \"id\": \"test-2\",\n836\t \"z_field\": \"last\",\n837\t \"a_field\": \"first\",\n838\t \"m_field\": \"middle\",\n839\t });\n840\t\n841\t let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc);\n842\t let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc);\n843\t\n844\t assert_eq!(hash1, hash2, \"hash should be deterministic\");\n845\t }\n846\t\n847\t #[test]\n848\t fn test_compute_content_hash_different_content() {\n849\t let doc1 = json!({\n850\t \"id\": \"test-3\",\n851\t \"title\": \"First\",\n852\t });\n853\t\n854\t let doc2 = json!({\n855\t \"id\": \"test-3\",\n856\t \"title\": \"Second\",\n857\t });\n858\t\n859\t let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc1);\n860\t let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc2);\n861\t\n862\t assert_ne!(hash1, hash2, \"different content should produce different hashes\");\n863\t }\n864\t\n865\t #[test]\n866\t fn test_compute_content_hash_key_order_independence() {\n867\t // JSON objects with same fields but different key order\n868\t let doc1 = json!({\n869\t \"id\": \"test-4\",\n870\t \"b\": \"value_b\",\n871\t \"a\": \"value_a\",\n872\t \"c\": \"value_c\",\n873\t });\n874\t\n875\t let doc2 = json!({\n876\t 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Anti-entropy worker background task (plan §13.8).\n2\t//!\n3\t//! Runs periodic anti-entropy passes to detect and repair replica drift:\n4\t//! - Acquires leader lease (only one pod runs anti-entropy)\n5\t//! - Parses schedule config to determine interval\n6\t//! - Runs fingerprint → diff → repair pipeline\n7\t//! - Self-throttles to <2% CPU target\n8\t\n9\tuse crate::anti_entropy::{AntiEntropyConfig, AntiEntropyReconciler};\n10\tuse crate::scatter::{\n11\t FetchDocumentsRequest, FetchDocumentsResponse, MockNodeClient, NodeClient, NodeError,\n12\t PreflightRequest, PreflightResponse, SearchRequest,\n13\t};\n14\tuse crate::task_store::TaskStore;\n15\tuse crate::topology::{NodeId, Topology};\n16\tuse reqwest::Client;\n17\tuse serde_json::Value;\n18\tuse std::collections::HashMap;\n19\tuse std::sync::Arc;\n20\tuse std::time::{Duration, SystemTime, UNIX_EPOCH};\n21\tuse tokio::sync::RwLock;\n22\tuse tracing::{debug, error, info, warn};\n23\t\n24\t/// Configuration for the anti-entropy worker.\n25\t#[derive(Debug, Clone)]\n26\tpub struct AntiEntropyWorkerConfig {\n27\t /// Schedule interval in seconds (parsed from \"every 6h\" format).\n28\t pub interval_s: u64,\n29\t /// Leader lease TTL in seconds.\n30\t pub lease_ttl_secs: u64,\n31\t /// Lease renewal interval in milliseconds.\n32\t pub lease_renewal_interval_ms: u64,\n33\t}\n34\t\n35\timpl Default for AntiEntropyWorkerConfig {\n36\t fn default() -> Self {\n37\t Self {\n38\t interval_s: 6 * 3600, // 6 hours\n39\t lease_ttl_secs: 10,\n40\t lease_renewal_interval_ms: 2000,\n41\t }\n42\t }\n43\t}\n44\t\n45\timpl AntiEntropyWorkerConfig {\n46\t /// Parse schedule string to extract interval in seconds.\n47\t ///\n48\t /// Supports formats like \"every 6h\", \"every 30m\", \"every 1h\".\n49\t /// Returns interval in seconds, or 21600 (6h) if parsing fails.\n50\t pub fn from_schedule(schedule: &str) -> Self {\n51\t let interval_s = parse_schedule_interval(schedule).unwrap_or(6 * 3600);\n52\t Self {\n53\t interval_s,\n54\t ..Default::default()\n55\t }\n56\t }\n57\t}\n58\t\n59\t/// Parse schedule interval string to seconds.\n60\t///\n61\t/// Examples:\n62\t/// - \"every 6h\" -> 21600\n63\t/// - \"every 30m\" -> 1800\n64\t/// - \"every 1h\" -> 3600\n65\tfn parse_schedule_interval(schedule: &str) -> Option {\n66\t let schedule = schedule.trim().to_lowercase();\n67\t\n68\t // Match \"every X[unit]\" pattern\n69\t if !schedule.starts_with(\"every \") {\n70\t return None;\n71\t }\n72\t\n73\t let rest = schedule[6..].trim();\n74\t if rest.is_empty() {\n75\t return None;\n76\t }\n77\t\n78\t // Find the first non-digit character to split number from unit\n79\t let mut num_end = 0;\n80\t for (i, c) in rest.chars().enumerate() {\n81\t if !c.is_ascii_digit() {\n82\t num_end = i;\n83\t break;\n84\t }\n85\t }\n86\t\n87\t if num_end == 0 {\n88\t return None;\n89\t }\n90\t\n91\t let num_str = &rest[..num_end];\n92\t let unit = &rest[num_end..];\n93\t\n94\t let value: u64 = num_str.parse().ok()?;\n95\t\n96\t match unit {\n97\t \"s\" | \"sec\" | \"second\" | \"seconds\" => Some(value),\n98\t \"m\" | \"min\" | \"minute\" | \"minutes\" => Some(value * 60),\n99\t \"h\" | \"hour\" | \"hours\" => Some(value * 3600),\n100\t _ => None,\n101\t }\n102\t}\n103\t\n104\t/// HTTP-based node client for anti-entropy fingerprinting.\n105\t///\n106\t/// Implements the NodeClient trait for fetching documents from Meilisearch nodes\n107\t/// during anti-entropy passes.\n108\t#[derive(Clone)]\n109\tpub struct HttpNodeClient {\n110\t /// Master key for authenticating with Meilisearch nodes.\n111\t node_master_key: String,\n112\t /// HTTP client for making requests.\n113\t client: Client,\n114\t}\n115\t\n116\timpl HttpNodeClient {\n117\t /// Create a new HTTP node client.\n118\t pub fn new(node_master_key: String) -> Self {\n119\t let client = Client::builder()\n120\t .timeout(Duration::from_secs(30))\n121\t .build()\n122\t .expect(\"Failed to create HTTP client for anti-entropy\");\n123\t\n124\t Self {\n125\t node_master_key,\n126\t client,\n127\t }\n128\t }\n129\t}\n130\t\n131\timpl NodeClient for HttpNodeClient {\n132\t async fn fetch_documents(\n133\t &self,\n134\t _node: &NodeId,\n135\t address: &str,\n136\t request: &FetchDocumentsRequest,\n137\t ) -> Result {\n138\t let filter_str = serde_json::to_string(&request.filter)\n139\t .unwrap_or_else(|_| \"\".to_string());\n140\t\n141\t let url = if address.ends_with('/') {\n142\t format!(\"{}indexes/{}/documents?filter={}&limit={}&offset={}\",\n143\t address,\n144\t request.index_uid,\n145\t urlencoding::encode(&filter_str),\n146\t request.limit,\n147\t request.offset\n148\t )\n149\t } else {\n150\t format!(\"{}/indexes/{}/documents?filter={}&limit={}&offset={}\",\n151\t address,\n152\t request.index_uid,\n153\t urlencoding::encode(&filter_str),\n154\t request.limit,\n155\t request.offset\n156\t )\n157\t };\n158\t\n159\t let response = self.client\n160\t .get(&url)\n161\t .header(\"Authorization\", format!(\"Bearer {}\", self.node_master_key))\n162\t .send()\n163\t .await\n164\t .map_err(|e| NodeError::NetworkError(format!(\"fetch failed: {}\", e)))?;\n165\t\n166\t if !response.status().is_success() {\n167\t let status = response.status();\n168\t let body = response.text().await.unwrap_or_else(|_| \"unable to read error\".to_string());\n169\t return Err(NodeError::HttpError { status: status.as_u16(), body });\n170\t }\n171\t\n172\t let json: Value = response\n173\t .json()\n174\t .await\n175\t .map_err(|e| NodeError::NetworkError(format!(\"parse failed: {}\", e)))?;\n176\t\n177\t let results = json\n178\t .get(\"results\")\n179\t .and_then(|v| v.as_array())\n180\t .map(|v| v.clone())\n181\t .unwrap_or_default();\n182\t\n183\t let total = json\n184\t .get(\"total\")\n185\t .and_then(|v| v.as_u64())\n186\t .unwrap_or(0);\n187\t\n188\t Ok(FetchDocumentsResponse {\n189\t results,\n190\t limit: request.limit,\n191\t offset: request.offset,\n192\t total,\n193\t })\n194\t }\n195\t\n196\t async fn search_node(\n197\t &self,\n198\t _node: &NodeId,\n199\t address: &str,\n200\t request: &SearchRequest,\n201\t ) -> std::result::Result {\n202\t let url = if address.ends_with('/') {\n203\t format!(\"{}indexes/{}/search\", address, request.index_uid)\n204\t } else {\n205\t format!(\"{}/indexes/{}/search\", address, request.index_uid)\n206\t };\n207\t\n208\t let response = self.client\n209\t .post(&url)\n210\t .header(\"Authorization\", format!(\"Bearer {}\", self.node_master_key))\n211\t .json(&request.body)\n212\t .send()\n213\t .await\n214\t .map_err(|e| NodeError::NetworkError(format!(\"search failed: {}\", e)))?;\n215\t\n216\t if !response.status().is_success() {\n217\t let status = response.status();\n218\t let body = response.text().await.unwrap_or_else(|_| \"unable to read error\".to_string());\n219\t return Err(NodeError::HttpError { status: status.as_u16(), body });\n220\t }\n221\t\n222\t response\n223\t .json()\n224\t .await\n225\t .map_err(|e| NodeError::NetworkError(format!(\"parse response failed: {}\", e)))\n226\t }\n227\t\n228\t async fn preflight_node(\n229\t &self,\n230\t _node: &NodeId,\n231\t address: &str,\n232\t request: &PreflightRequest,\n233\t ) -> std::result::Result {\n234\t let url = if address.ends_with('/') {\n235\t format!(\"{}indexes/{}/documents?limit={}\", address, request.index_uid, 0)\n236\t } else {\n237\t format!(\"{}/indexes/{}/documents?limit={}\", address, request.index_uid, 0)\n238\t };\n239\t\n240\t let response = self.client\n241\t .get(&url)\n242\t .header(\"Authorization\", format!(\"Bearer {}\", self.node_master_key))\n243\t .send()\n244\t .await\n245\t .map_err(|e| NodeError::NetworkError(format!(\"preflight failed: {}\", e)))?;\n246\t\n247\t if !response.status().is_success() {\n248\t let status = response.status();\n249\t let body = response.text().await.unwrap_or_else(|_| \"unable to read error\".to_string());\n250\t return Err(NodeError::HttpError { status: status.as_u16(), body });\n251\t }\n252\t\n253\t let json: Value = response\n254\t .json()\n255\t .await\n256\t .map_err(|e| NodeError::NetworkError(format!(\"parse response failed: {}\", e)))?;\n257\t\n258\t let total_docs = json\n259\t .get(\"total\")\n260\t .and_then(|v| v.as_u64())\n261\t .unwrap_or(0);\n262\t\n263\t Ok(PreflightResponse {\n264\t total_docs,\n265\t avg_doc_length: 50.0,\n266\t term_stats: HashMap::new(),\n267\t })\n268\t }\n269\t}\n270\t\n271\t/// Anti-entropy background worker.\n272\t///\n273\t/// Runs periodic anti-entropy passes with leader election to ensure\n274\t/// only one pod runs the fingerprinting at a time.\n275\tpub struct AntiEntropyWorker {\n276\t config: AntiEntropyWorkerConfig,\n277\t reconciler: AntiEntropyReconciler,\n278\t topology: Arc>,\n279\t task_store: Arc,\n280\t pod_id: String,\n281\t}\n282\t\n283\timpl AntiEntropyWorker {\n284\t /// Create a new anti-entropy worker.\n285\t pub fn new(\n286\t config: AntiEntropyWorkerConfig,\n287\t topology: Arc>,\n288\t task_store: Arc,\n289\t node_master_key: String,\n290\t pod_id: String,\n291\t ) -> Self {\n292\t let ae_config = AntiEntropyConfig {\n293\t enabled: true,\n294\t schedule: format!(\"every {}s\", config.interval_s),\n295\t index_uid: \"default\".to_string(),\n296\t shards_per_pass: 0, // Scan all shards\n297\t max_read_concurrency: 2,\n298\t fingerprint_batch_size: 1000,\n299\t auto_repair: true,\n300\t updated_at_field: \"_miroir_updated_at\".to_string(),\n301\t };\n302\t\n303\t let node_client = HttpNodeClient::new(node_master_key);\n304\t let reconciler = AntiEntropyReconciler::new(\n305\t ae_config,\n306\t topology.clone(),\n307\t Arc::new(node_client),\n308\t );\n309\t\n310\t Self {\n311\t config,\n312\t reconciler,\n313\t topology,\n314\t task_store,\n315\t pod_id,\n316\t }\n317\t }\n318\t\n319\t /// Start the background worker.\n320\t ///\n321\t /// This runs in a loop:\n322\t /// 1. Try to acquire leader lease (scope: anti_entropy)\n323\t /// 2. If acquired, run anti-entropy pass\n324\t /// 3. Renew lease periodically\n325\t /// 4. If lease lost, go back to step 1\n326\t pub async fn run(&self) {\n327\t info!(\n328\t pod_id = %self.pod_id,\n329\t interval_s = self.config.interval_s,\n330\t \"anti-entropy worker starting\"\n331\t );\n332\t\n333\t let scope = \"anti_entropy\";\n334\t\n335\t loop {\n336\t let now_ms = now_ms();\n337\t let expires_at = now_ms + (self.config.lease_ttl_secs * 1000) as i64;\n338\t\n339\t // Try to acquire leader lease\n340\t match tokio::task::spawn_blocking({\n341\t let task_store = self.task_store.clone();\n342\t let scope = scope.to_string();\n343\t let pod_id = self.pod_id.clone();\n344\t move || {\n345\t task_store.try_acquire_leader_lease(&scope, &pod_id, expires_at, now_ms)\n346\t }\n347\t })\n348\t .await\n349\t {\n350\t Ok(Ok(true)) => {\n351\t info!(scope = %scope, pod_id = %self.pod_id, \"acquired leader lease\");\n352\t\n353\t // We are the leader - run anti-entropy pass cycle\n354\t if let Err(e) = self.run_pass_cycle().await {\n355\t error!(error = %e, \"anti-entropy pass cycle failed\");\n356\t }\n357\t }\n358\t Ok(Ok(false)) => {\n359\t debug!(scope = %scope, \"leader lease already held\");\n360\t }\n361\t Ok(Err(e)) => {\n362\t error!(scope = %scope, error = %e, \"failed to acquire leader lease\");\n363\t }\n364\t Err(e) => {\n365\t error!(scope = %scope, error = %e, \"spawn_blocking task failed\");\n366\t }\n367\t }\n368\t\n369\t // Wait before retrying lease acquisition\n370\t tokio::time::sleep(Duration::from_millis(\n371\t self.config.lease_renewal_interval_ms,\n372\t ))\n373\t .await;\n374\t }\n375\t }\n376\t\n377\t /// Run a single anti-entropy pass cycle.\n378\t ///\n379\t /// This runs the pass immediately after acquiring lease, then waits\n380\t /// for the configured interval before running again (if still leader).\n381\t async fn run_pass_cycle(&self) -> Result<(), String> {\n382\t let scope = \"anti_entropy\";\n383\t let mut lease_renewal = tokio::time::interval(Duration::from_millis(\n384\t self.config.lease_renewal_interval_ms,\n385\t ));\n386\t\n387\t // Run anti-entropy pass immediately on acquiring lease\n388\t self.run_single_pass().await?;\n389\t\n390\t // Then wait for interval or lease expiry\n391\t let pass_interval = tokio::time::sleep(Duration::from_secs(self.config.interval_s));\n392\t\n393\t tokio::select! {\n394\t _ = lease_renewal.tick() => {\n395\t // Renew lease\n396\t let now_ms = now_ms();\n397\t let expires_at = now_ms + (self.config.lease_ttl_secs * 1000) as i64;\n398\t\n399\t match tokio::task::spawn_blocking({\n400\t let task_store = self.task_store.clone();\n401\t let scope = scope.to_string();\n402\t let pod_id = self.pod_id.clone();\n403\t move || {\n404\t task_store.renew_leader_lease(&scope, &pod_id, expires_at)\n405\t }\n406\t })\n407\t .await\n408\t {\n409\t Ok(Ok(true)) => {\n410\t debug!(scope = %scope, \"renewed leader lease\");\n411\t }\n412\t Ok(Ok(false)) => {\n413\t info!(scope = %scope, \"lost leader lease\");\n414\t return Ok(());\n415\t }\n416\t Ok(Err(e)) => {\n417\t error!(scope = %scope, error = %e, \"failed to renew leader lease\");\n418\t return Err(e.to_string());\n419\t }\n420\t Err(e) => {\n421\t error!(scope = %scope, error = %e, \"spawn_blocking task failed\");\n422\t return Err(format!(\"spawn_blocking task failed: {}\", e));\n423\t }\n424\t }\n425\t }\n426\t _ = pass_interval => {\n427\t // Interval passed - run anti-entropy pass\n428\t self.run_single_pass().await?;\n429\t }\n430\t }\n431\t\n432\t Ok(())\n433\t }\n434\t\n435\t /// Run a single anti-entropy pass.\n436\t async fn run_single_pass(&self) -> Result<(), String> {\n437\t info!(\"starting anti-entropy pass\");\n438\t\n439\t match self.reconciler.run_pass().await {\n440\t Ok(pass) => {\n441\t info!(\n442\t shards_scanned = pass.shards_scanned,\n443\t shards_with_drift = pass.shards_with_drift,\n444\t repairs_performed = pass.repairs_performed,\n445\t errors = pass.errors.len(),\n446\t \"anti-entropy pass completed\"\n447\t );\n448\t\n449\t if !pass.errors.is_empty() {\n450\t warn!(errors = ?pass.errors, \"anti-entropy pass had errors\");\n451\t }\n452\t\n453\t Ok(())\n454\t }\n455\t Err(e) => {\n456\t Err(format!(\"anti-entropy pass failed: {}\", e))\n457\t }\n458\t }\n459\t }\n460\t}\n461\t\n462\t/// Get current time in milliseconds since Unix epoch.\n463\tfn now_ms() -> i64 {\n464\t SystemTime::now()\n465\t .duration_since(UNIX_EPOCH)\n466\t .unwrap_or_default()\n467\t .as_millis() as i64\n468\t}\n469\t\n470\t#[cfg(test)]\n471\tmod tests {\n472\t use super::*;\n473\t\n474\t #[test]\n475\t fn test_parse_schedule_interval_hours() {\n476\t assert_eq!(parse_schedule_interval(\"every 6h\"), Some(21600));\n477\t assert_eq!(parse_schedule_interval(\"every 1h\"), Some(3600));\n478\t assert_eq!(parse_schedule_interval(\"every 12h\"), Some(43200));\n479\t }\n480\t\n481\t #[test]\n482\t fn test_parse_schedule_interval_minutes() {\n483\t assert_eq!(parse_schedule_interval(\"every 30m\"), Some(1800));\n484\t assert_eq!(parse_schedule_interval(\"every 5m\"), Some(300));\n485\t assert_eq!(parse_schedule_interval(\"every 60m\"), Some(3600));\n486\t }\n487\t\n488\t #[test]\n489\t fn test_parse_schedule_interval_seconds() {\n490\t assert_eq!(parse_schedule_interval(\"every 60s\"), Some(60));\n491\t assert_eq!(parse_schedule_interval(\"every 300s\"), Some(300));\n492\t }\n493\t\n494\t #[test]\n495\t fn test_parse_schedule_invalid() {\n496\t assert_eq!(parse_schedule_interval(\"invalid\"), None);\n497\t assert_eq!(parse_schedule_interval(\"every\"), None);\n498\t assert_eq!(parse_schedule_interval(\"6h\"), None);\n499\t }\n500\t\n501\t #[test]\n502\t fn test_parse_schedule_case_insensitive() {\n503\t assert_eq!(parse_schedule_interval(\"EVERY 6H\"), Some(21600));\n504\t assert_eq!(parse_schedule_interval(\"Every 30M\"), Some(1800));\n505\t }\n506\t\n507\t #[test]\n508\t fn test_worker_config_from_schedule() {\n509\t let config = AntiEntropyWorkerConfig::from_schedule(\"every 6h\");\n510\t assert_eq!(config.interval_s, 21600);\n511\t\n512\t let config = AntiEntropyWorkerConfig::from_schedule(\"every 30m\");\n513\t assert_eq!(config.interval_s, 1800);\n514\t }\n515\t\n516\t #[test]\n517\t fn test_worker_config_default() {\n518\t let config = AntiEntropyWorkerConfig::default();\n519\t assert_eq!(config.interval_s, 6 * 3600);\n520\t assert_eq!(config.lease_ttl_secs, 10);\n521\t assert_eq!(config.lease_renewal_interval_ms, 2000);\n522\t }\n523\t}\n524\t"}]},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"8c8abfe3-275b-46b4-8154-48d49bb68e27","timestamp":"2026-05-23T12:41:57.524Z","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_eaac9c7babd94f14a0083af0","type":"tool_result","content":"1\t//! P5.8.b: Anti-entropy diff step integration tests.\n2\t//!\n3\t//! Tests the diff step (plan §13.8 step 2):\n4\t//! - Per-bucket (pk-hash % 256) digest computation\n5\t//! - Divergent bucket identification\n6\t//! - Divergent primary key enumeration within buckets\n7\t//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n8\t\n9\tuse miroir_core::anti_entropy::{\n10\t AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n11\t};\n12\tuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\n13\tuse miroir_core::topology::{Node, NodeId, Topology};\n14\tuse serde_json::json;\n15\tuse std::collections::HashMap;\n16\tuse std::sync::Arc;\n17\tuse tokio::sync::RwLock;\n18\t\n19\tmockall::mock! {\n20\t pub TestNodeClient {}\n21\t impl NodeClient for TestNodeClient {\n22\t async fn search_node(\n23\t &self,\n24\t node: &NodeId,\n25\t address: &str,\n26\t request: &miroir_core::scatter::SearchRequest,\n27\t ) -> std::result::Result;\n28\t\n29\t async fn preflight_node(\n30\t &self,\n31\t node: &NodeId,\n32\t address: &str,\n33\t request: &miroir_core::scatter::PreflightRequest,\n34\t ) -> std::result::Result;\n35\t\n36\t async fn write_documents(\n37\t &self,\n38\t node: &NodeId,\n39\t address: &str,\n40\t request: &miroir_core::scatter::WriteRequest,\n41\t ) -> std::result::Result;\n42\t\n43\t async fn delete_documents(\n44\t &self,\n45\t node: &NodeId,\n46\t address: &str,\n47\t request: &miroir_core::scatter::DeleteByIdsRequest,\n48\t ) -> std::result::Result;\n49\t\n50\t async fn delete_documents_by_filter(\n51\t &self,\n52\t node: &NodeId,\n53\t address: &str,\n54\t request: &miroir_core::scatter::DeleteByFilterRequest,\n55\t ) -> std::result::Result;\n56\t\n57\t async fn fetch_documents(\n58\t &self,\n59\t node: &NodeId,\n60\t address: &str,\n61\t request: &FetchDocumentsRequest,\n62\t ) -> std::result::Result;\n63\t }\n64\t}\n65\t\n66\t#[tokio::test]\n67\tasync fn test_bucket_for_primary_key_deterministic() {\n68\t // Test that bucket assignment is deterministic\n69\t let pk = \"test-primary-key-123\";\n70\t let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n71\t let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n72\t\n73\t assert_eq!(bucket1, bucket2, \"bucket assignment should be deterministic\");\n74\t assert!(bucket1 < BUCKET_COUNT, \"bucket ID should be in range\");\n75\t}\n76\t\n77\t#[tokio::test]\n78\tasync fn test_bucket_for_primary_key_distributes() {\n79\t // Test that different keys distribute across buckets\n80\t let mut buckets = std::collections::HashSet::new();\n81\t\n82\t for i in 0..1000 {\n83\t let pk = format!(\"key-{}\", i);\n84\t let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);\n85\t buckets.insert(bucket);\n86\t }\n87\t\n88\t // With 1000 keys and 256 buckets, we should hit many buckets\n89\t // (statistically, almost all of them)\n90\t assert!(buckets.len() > 200, \"keys should distribute across many buckets\");\n91\t}\n92\t\n93\t#[tokio::test]\n94\tasync fn test_fingerprint_shard_includes_bucket_hashes() {\n95\t // Test that fingerprinting now computes per-bucket hashes\n96\t let doc1 = json!({\n97\t \"id\": \"doc-1\",\n98\t \"title\": \"First\",\n99\t \"_miroir_shard\": 0,\n100\t });\n101\t\n102\t let doc2 = json!({\n103\t \"id\": \"doc-2\",\n104\t \"title\": \"Second\",\n105\t \"_miroir_shard\": 0,\n106\t });\n107\t\n108\t let mut mock_client = MockTestNodeClient::new();\n109\t mock_client.expect_fetch_documents().returning({\n110\t let mut call_count = 0;\n111\t move |_, _, req| {\n112\t let docs = match call_count {\n113\t 0 => vec![doc1.clone(), doc2.clone()],\n114\t _ => vec![],\n115\t };\n116\t call_count += 1;\n117\t\n118\t Ok(FetchDocumentsResponse {\n119\t results: docs,\n120\t limit: req.limit,\n121\t offset: req.offset,\n122\t total: 2,\n123\t })\n124\t }\n125\t });\n126\t\n127\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n128\t let reconciler = AntiEntropyReconciler::new(\n129\t AntiEntropyConfig::default(),\n130\t topology,\n131\t Arc::new(mock_client),\n132\t );\n133\t\n134\t let node_id = NodeId::new(\"node-1\".to_string());\n135\t let result = reconciler\n136\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n137\t .await\n138\t .unwrap();\n139\t\n140\t assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT);\n141\t // Each bucket hash should be a valid xxh3 hash string\n142\t for bucket_hash in &result.bucket_hashes {\n143\t assert!(bucket_hash.starts_with(\"xxh3:\"));\n144\t }\n145\t}\n146\t\n147\t#[tokio::test]\n148\tasync fn test_diff_fingerprints_identical() {\n149\t // Test diff with identical fingerprints (no divergence)\n150\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n151\t let reconciler = AntiEntropyReconciler::::new(\n152\t AntiEntropyConfig::default(),\n153\t topology,\n154\t Arc::new(MockTestNodeClient::new()),\n155\t );\n156\t\n157\t let fp = ShardFingerprint {\n158\t shard_id: 0,\n159\t node_id: \"node-1\".to_string(),\n160\t merkle_root: \"xxh3:123\".to_string(),\n161\t document_count: 100,\n162\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n163\t };\n164\t\n165\t let divergent = reconciler.diff_fingerprints(&fp, &fp);\n166\t assert!(divergent.is_empty(), \"identical fingerprints should have no divergence\");\n167\t}\n168\t\n169\t#[tokio::test]\n170\tasync fn test_diff_fingerprints_divergent_buckets() {\n171\t // Test diff with divergent buckets\n172\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n173\t let reconciler = AntiEntropyReconciler::::new(\n174\t AntiEntropyConfig::default(),\n175\t topology,\n176\t Arc::new(MockTestNodeClient::new()),\n177\t );\n178\t\n179\t let mut fp_a = ShardFingerprint {\n180\t shard_id: 0,\n181\t node_id: \"node-a\".to_string(),\n182\t merkle_root: \"xxh3:123\".to_string(),\n183\t document_count: 100,\n184\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n185\t };\n186\t\n187\t let mut fp_b = ShardFingerprint {\n188\t shard_id: 0,\n189\t node_id: \"node-b\".to_string(),\n190\t merkle_root: \"xxh3:456\".to_string(),\n191\t document_count: 100,\n192\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n193\t };\n194\t\n195\t // Make buckets 5, 10, 15 divergent\n196\t fp_b.bucket_hashes[5] = \"xxh3:different\".to_string();\n197\t fp_b.bucket_hashes[10] = \"xxh3:different\".to_string();\n198\t fp_b.bucket_hashes[15] = \"xxh3:different\".to_string();\n199\t\n200\t let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n201\t\n202\t assert_eq!(divergent.len(), 3);\n203\t assert!(divergent.contains(&5));\n204\t assert!(divergent.contains(&10));\n205\t assert!(divergent.contains(&15));\n206\t}\n207\t\n208\t#[tokio::test]\n209\tasync fn test_fetch_bucket_pks_filters_by_bucket() {\n210\t // Test that fetch_bucket_pks only returns PKs in the target bucket\n211\t let doc1 = json!({ \"id\": \"key-1\", \"title\": \"Doc 1\", \"_miroir_shard\": 0 });\n212\t let doc2 = json!({ \"id\": \"key-2\", \"title\": \"Doc 2\", \"_miroir_shard\": 0 });\n213\t let doc3 = json!({ \"id\": \"key-3\", \"title\": \"Doc 3\", \"_miroir_shard\": 0 });\n214\t\n215\t // Determine which bucket each key belongs to\n216\t let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n217\t let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");\n218\t let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");\n219\t\n220\t let mut mock_client = MockTestNodeClient::new();\n221\t mock_client.expect_fetch_documents().returning({\n222\t let mut call_count = 0;\n223\t move |_, _, req| {\n224\t let docs = match call_count {\n225\t 0 => vec![doc1.clone(), doc2.clone(), doc3.clone()],\n226\t _ => vec![],\n227\t };\n228\t call_count += 1;\n229\t\n230\t Ok(FetchDocumentsResponse {\n231\t results: docs,\n232\t limit: req.limit,\n233\t offset: req.offset,\n234\t total: 3,\n235\t })\n236\t }\n237\t });\n238\t\n239\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n240\t let reconciler = AntiEntropyReconciler::new(\n241\t AntiEntropyConfig::default(),\n242\t topology,\n243\t Arc::new(mock_client),\n244\t );\n245\t\n246\t let node_id = NodeId::new(\"node-1\".to_string());\n247\t\n248\t // Fetch PKs for bucket_1 - should only contain key-1\n249\t let result = reconciler\n250\t .fetch_bucket_pks(&node_id, 0, bucket_1, \"test_index\", \"http://localhost\")\n251\t .await\n252\t .unwrap();\n253\t\n254\t assert_eq!(result.len(), 1);\n255\t assert!(result.contains_key(\"key-1\"));\n256\t assert!(!result.contains_key(\"key-2\"));\n257\t assert!(!result.contains_key(\"key-3\"));\n258\t}\n259\t\n260\t#[tokio::test]\n261\tasync fn test_compare_bucket_replicas_no_divergence() {\n262\t // Test comparing identical buckets\n263\t let doc = json!({ \"id\": \"key-1\", \"title\": \"Same\", \"_miroir_shard\": 0 });\n264\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n265\t\n266\t let mut mock_client = MockTestNodeClient::new();\n267\t mock_client.expect_fetch_documents().returning({\n268\t let mut call_count = 0;\n269\t move |_, _, req| {\n270\t let docs = if call_count < 2 { vec![doc.clone()] } else { vec![] };\n271\t call_count += 1;\n272\t\n273\t Ok(FetchDocumentsResponse {\n274\t results: docs,\n275\t limit: req.limit,\n276\t offset: req.offset,\n277\t total: 1,\n278\t })\n279\t }\n280\t });\n281\t\n282\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n283\t let reconciler = AntiEntropyReconciler::new(\n284\t AntiEntropyConfig::default(),\n285\t topology,\n286\t Arc::new(mock_client),\n287\t );\n288\t\n289\t let node_a = NodeId::new(\"node-a\".to_string());\n290\t let node_b = NodeId::new(\"node-b\".to_string());\n291\t\n292\t let diff = reconciler\n293\t .compare_bucket_replicas(\n294\t 0,\n295\t bucket_id,\n296\t &node_a,\n297\t \"http://localhost\",\n298\t &node_b,\n299\t \"http://localhost\",\n300\t \"test_index\",\n301\t )\n302\t .await\n303\t .unwrap();\n304\t\n305\t assert_eq!(diff.shard_id, 0);\n306\t assert!(diff.a_only_pks.is_empty());\n307\t assert!(diff.b_only_pks.is_empty());\n308\t assert!(diff.mismatched_pks.is_empty());\n309\t}\n310\t\n311\t#[tokio::test]\n312\tasync fn test_compare_bucket_replicas_a_only() {\n313\t // Test PK only exists on replica A\n314\t let doc_a = json!({ \"id\": \"key-only-a\", \"title\": \"Only A\", \"_miroir_shard\": 0 });\n315\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");\n316\t\n317\t let mut mock_client = MockTestNodeClient::new();\n318\t mock_client.expect_fetch_documents().returning({\n319\t let mut call_count = 0;\n320\t move |_, _, req| {\n321\t // Node A has the doc, node B doesn't\n322\t let has_doc = call_count == 0;\n323\t let docs = if has_doc { vec![doc_a.clone()] } else { vec![] };\n324\t call_count += 1;\n325\t\n326\t Ok(FetchDocumentsResponse {\n327\t results: docs,\n328\t limit: req.limit,\n329\t offset: req.offset,\n330\t total: if has_doc { 1 } else { 0 },\n331\t })\n332\t }\n333\t });\n334\t\n335\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n336\t let reconciler = AntiEntropyReconciler::new(\n337\t AntiEntropyConfig::default(),\n338\t topology,\n339\t Arc::new(mock_client),\n340\t );\n341\t\n342\t let node_a = NodeId::new(\"node-a\".to_string());\n343\t let node_b = NodeId::new(\"node-b\".to_string());\n344\t\n345\t let diff = reconciler\n346\t .compare_bucket_replicas(\n347\t 0,\n348\t bucket_id,\n349\t &node_a,\n350\t \"http://localhost\",\n351\t &node_b,\n352\t \"http://localhost\",\n353\t \"test_index\",\n354\t )\n355\t .await\n356\t .unwrap();\n357\t\n358\t assert_eq!(diff.a_only_pks.len(), 1);\n359\t assert_eq!(diff.a_only_pks[0], \"key-only-a\");\n360\t assert!(diff.b_only_pks.is_empty());\n361\t assert!(diff.mismatched_pks.is_empty());\n362\t}\n363\t\n364\t#[tokio::test]\n365\tasync fn test_compare_bucket_replicas_b_only() {\n366\t // Test PK only exists on replica B\n367\t let doc_b = json!({ \"id\": \"key-only-b\", \"title\": \"Only B\", \"_miroir_shard\": 0 });\n368\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");\n369\t\n370\t let mut mock_client = MockTestNodeClient::new();\n371\t mock_client.expect_fetch_documents().returning({\n372\t let mut call_count = 0;\n373\t move |_, _, req| {\n374\t // Node B has the doc, node A doesn't\n375\t let has_doc = call_count == 1;\n376\t let docs = if has_doc { vec![doc_b.clone()] } else { vec![] };\n377\t call_count += 1;\n378\t\n379\t Ok(FetchDocumentsResponse {\n380\t results: docs,\n381\t limit: req.limit,\n382\t offset: req.offset,\n383\t total: if has_doc { 1 } else { 0 },\n384\t })\n385\t }\n386\t });\n387\t\n388\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n389\t let reconciler = AntiEntropyReconciler::new(\n390\t AntiEntropyConfig::default(),\n391\t topology,\n392\t Arc::new(mock_client),\n393\t );\n394\t\n395\t let node_a = NodeId::new(\"node-a\".to_string());\n396\t let node_b = NodeId::new(\"node-b\".to_string());\n397\t\n398\t let diff = reconciler\n399\t .compare_bucket_replicas(\n400\t 0,\n401\t bucket_id,\n402\t &node_a,\n403\t \"http://localhost\",\n404\t &node_b,\n405\t \"http://localhost\",\n406\t \"test_index\",\n407\t )\n408\t .await\n409\t .unwrap();\n410\t\n411\t assert!(diff.a_only_pks.is_empty());\n412\t assert_eq!(diff.b_only_pks.len(), 1);\n413\t assert_eq!(diff.b_only_pks[0], \"key-only-b\");\n414\t assert!(diff.mismatched_pks.is_empty());\n415\t}\n416\t\n417\t#[tokio::test]\n418\tasync fn test_compare_bucket_replicas_mismatched_content() {\n419\t // Test same PK but different content (different content hash)\n420\t let doc_a = json!({ \"id\": \"key-mismatch\", \"title\": \"Version A\", \"_miroir_shard\": 0 });\n421\t let doc_b = json!({ \"id\": \"key-mismatch\", \"title\": \"Version B\", \"_miroir_shard\": 0 });\n422\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");\n423\t\n424\t let mut mock_client = MockTestNodeClient::new();\n425\t mock_client.expect_fetch_documents().returning({\n426\t let mut call_count = 0;\n427\t move |_, _, req| {\n428\t let docs = match call_count {\n429\t 0 => vec![doc_a.clone()],\n430\t 1 => vec![doc_b.clone()],\n431\t _ => vec![],\n432\t };\n433\t call_count += 1;\n434\t\n435\t Ok(FetchDocumentsResponse {\n436\t results: docs,\n437\t limit: req.limit,\n438\t offset: req.offset,\n439\t total: 1,\n440\t })\n441\t }\n442\t });\n443\t\n444\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n445\t let reconciler = AntiEntropyReconciler::new(\n446\t AntiEntropyConfig::default(),\n447\t topology,\n448\t Arc::new(mock_client),\n449\t );\n450\t\n451\t let node_a = NodeId::new(\"node-a\".to_string());\n452\t let node_b = NodeId::new(\"node-b\".to_string());\n453\t\n454\t let diff = reconciler\n455\t .compare_bucket_replicas(\n456\t 0,\n457\t bucket_id,\n458\t &node_a,\n459\t \"http://localhost\",\n460\t &node_b,\n461\t \"http://localhost\",\n462\t \"test_index\",\n463\t )\n464\t .await\n465\t .unwrap();\n466\t\n467\t assert!(diff.a_only_pks.is_empty());\n468\t assert!(diff.b_only_pks.is_empty());\n469\t assert_eq!(diff.mismatched_pks.len(), 1);\n470\t assert_eq!(diff.mismatched_pks[0], \"key-mismatch\");\n471\t}\n472\t\n473\t#[tokio::test]\n474\tasync fn test_diff_fingerprints_isolates_divergence() {\n475\t // Test that divergent buckets isolate to ~0.4% of PK space\n476\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n477\t let reconciler = AntiEntropyReconciler::::new(\n478\t AntiEntropyConfig::default(),\n479\t topology,\n480\t Arc::new(MockTestNodeClient::new()),\n481\t );\n482\t\n483\t // Create a fingerprint with 100 divergent buckets\n484\t let mut fp_a = ShardFingerprint {\n485\t shard_id: 0,\n486\t node_id: \"node-a\".to_string(),\n487\t merkle_root: \"xxh3:123\".to_string(),\n488\t document_count: 10000,\n489\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n490\t };\n491\t\n492\t let mut fp_b = ShardFingerprint {\n493\t shard_id: 0,\n494\t node_id: \"node-b\".to_string(),\n495\t merkle_root: \"xxh3:456\".to_string(),\n496\t document_count: 10000,\n497\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n498\t };\n499\t\n500\t // Make 100 buckets divergent\n501\t for i in 0..100 {\n502\t fp_b.bucket_hashes[i] = format!(\"xxh3:divergent-{}\", i);\n503\t }\n504\t\n505\t let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n506\t\n507\t assert_eq!(divergent.len(), 100);\n508\t\n509\t // Each divergent bucket represents ~1/256 (≈0.4%) of PK space\n510\t // 100 buckets ≈ 39% of total PK space\n511\t let isolation_ratio = divergent.len() as f64 / BUCKET_COUNT as f64;\n512\t assert!((isolation_ratio - (100.0 / 256.0)).abs() < 0.01);\n513\t}\n514\t\n515\t#[tokio::test]\n516\tasync fn test_bucket_count_constant() {\n517\t // Verify BUCKET_COUNT is 256 as specified in the plan\n518\t assert_eq!(BUCKET_COUNT, 256);\n519\t}\n520\t"}]},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"75e23714-8d90-4a28-a8a9-0854bb310ffc","timestamp":"2026-05-23T12:41:57.525Z","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_8ce6c92cfbc2482f9abd24a7","type":"tool_result","content":"1\t//! P5.8.a: Anti-entropy fingerprint step integration tests.\n2\t//!\n3\t//! Tests the fingerprint step (plan §13.8 step 1):\n4\t//! - Per-replica xxh3 digest over (pk || content_hash)\n5\t//! - Paginated iteration via filter=_miroir_shard={id}\n6\t//! - Streaming xxh3 digest folding\n7\t//! - Self-throttling behavior\n8\t\n9\tuse miroir_core::anti_entropy::{\n10\t AntiEntropyConfig, AntiEntropyReconciler, ShardFingerprint,\n11\t};\n12\tuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\n13\tuse miroir_core::topology::{Node, NodeId, Topology};\n14\tuse serde_json::json;\n15\tuse std::collections::HashMap;\n16\tuse std::sync::Arc;\n17\tuse tokio::sync::RwLock;\n18\t\n19\t// Create a mock using mockall::mock! macro\n20\tmockall::mock! {\n21\t pub TestNodeClient {}\n22\t impl NodeClient for TestNodeClient {\n23\t async fn search_node(\n24\t &self,\n25\t node: &NodeId,\n26\t address: &str,\n27\t request: &miroir_core::scatter::SearchRequest,\n28\t ) -> std::result::Result;\n29\t\n30\t async fn preflight_node(\n31\t &self,\n32\t node: &NodeId,\n33\t address: &str,\n34\t request: &miroir_core::scatter::PreflightRequest,\n35\t ) -> std::result::Result;\n36\t\n37\t async fn write_documents(\n38\t &self,\n39\t node: &NodeId,\n40\t address: &str,\n41\t request: &miroir_core::scatter::WriteRequest,\n42\t ) -> std::result::Result;\n43\t\n44\t async fn delete_documents(\n45\t &self,\n46\t node: &NodeId,\n47\t address: &str,\n48\t request: &miroir_core::scatter::DeleteByIdsRequest,\n49\t ) -> std::result::Result;\n50\t\n51\t async fn delete_documents_by_filter(\n52\t &self,\n53\t node: &NodeId,\n54\t address: &str,\n55\t request: &miroir_core::scatter::DeleteByFilterRequest,\n56\t ) -> std::result::Result;\n57\t\n58\t async fn fetch_documents(\n59\t &self,\n60\t node: &NodeId,\n61\t address: &str,\n62\t request: &FetchDocumentsRequest,\n63\t ) -> std::result::Result;\n64\t }\n65\t}\n66\t\n67\t#[tokio::test]\n68\tasync fn test_fingerprint_shard_empty() {\n69\t // Test fingerprinting an empty shard\n70\t let mut mock_client = MockTestNodeClient::new();\n71\t mock_client\n72\t .expect_fetch_documents()\n73\t .returning(|_, _, _| {\n74\t // Return empty result\n75\t Ok(FetchDocumentsResponse {\n76\t results: vec![],\n77\t limit: 1000,\n78\t offset: 0,\n79\t total: 0,\n80\t })\n81\t });\n82\t\n83\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n84\t let reconciler = AntiEntropyReconciler::new(\n85\t AntiEntropyConfig::default(),\n86\t topology,\n87\t Arc::new(mock_client),\n88\t );\n89\t\n90\t let node_id = NodeId::new(\"node-1\".to_string());\n91\t let result = reconciler\n92\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n93\t .await;\n94\t\n95\t assert!(result.is_ok());\n96\t let fp = result.unwrap();\n97\t assert_eq!(fp.shard_id, 0);\n98\t assert_eq!(fp.document_count, 0);\n99\t assert!(fp.merkle_root.starts_with(\"xxh3:\"));\n100\t}\n101\t\n102\t#[tokio::test]\n103\tasync fn test_fingerprint_shard_single_document() {\n104\t // Test fingerprinting a shard with a single document\n105\t let doc = json!({\n106\t \"id\": \"doc-1\",\n107\t \"title\": \"Test Document\",\n108\t \"content\": \"Some content\",\n109\t \"_miroir_shard\": 0,\n110\t });\n111\t\n112\t let mut mock_client = MockTestNodeClient::new();\n113\t mock_client.expect_fetch_documents().returning(move |_, _, req| {\n114\t if req.offset == 0 {\n115\t Ok(FetchDocumentsResponse {\n116\t results: vec![doc.clone()],\n117\t limit: req.limit,\n118\t offset: req.offset,\n119\t total: 1,\n120\t })\n121\t } else {\n122\t Ok(FetchDocumentsResponse {\n123\t results: vec![],\n124\t limit: req.limit,\n125\t offset: req.offset,\n126\t total: 1,\n127\t })\n128\t }\n129\t });\n130\t\n131\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n132\t let reconciler = AntiEntropyReconciler::new(\n133\t AntiEntropyConfig::default(),\n134\t topology,\n135\t Arc::new(mock_client),\n136\t );\n137\t\n138\t let node_id = NodeId::new(\"node-1\".to_string());\n139\t let result = reconciler\n140\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n141\t .await;\n142\t\n143\t assert!(result.is_ok());\n144\t let fp = result.unwrap();\n145\t assert_eq!(fp.shard_id, 0);\n146\t assert_eq!(fp.document_count, 1);\n147\t assert!(fp.merkle_root.starts_with(\"xxh3:\"));\n148\t}\n149\t\n150\t#[tokio::test]\n151\tasync fn test_fingerprint_shard_pagination() {\n152\t // Test that pagination works correctly for multiple batches\n153\t let batch_size = 10u32;\n154\t let total_docs = 25u32;\n155\t\n156\t let mut mock_client = MockTestNodeClient::new();\n157\t mock_client.expect_fetch_documents().returning(move |_, _, req| {\n158\t let start = req.offset;\n159\t if start >= total_docs {\n160\t // Return empty result when offset exceeds total\n161\t return Ok(FetchDocumentsResponse {\n162\t results: vec![],\n163\t limit: req.limit,\n164\t offset: req.offset,\n165\t total: total_docs as u64,\n166\t });\n167\t }\n168\t let end = std::cmp::min(req.offset + req.limit, total_docs);\n169\t let count = end - start;\n170\t\n171\t let docs: Vec = (start..end)\n172\t .map(|i| {\n173\t json!({\n174\t \"id\": format!(\"doc-{}\", i),\n175\t \"title\": format!(\"Document {}\", i),\n176\t \"_miroir_shard\": 0,\n177\t })\n178\t })\n179\t .collect();\n180\t\n181\t Ok(FetchDocumentsResponse {\n182\t results: docs,\n183\t limit: req.limit,\n184\t offset: req.offset,\n185\t total: total_docs as u64,\n186\t })\n187\t });\n188\t\n189\t let mut config = AntiEntropyConfig::default();\n190\t config.fingerprint_batch_size = batch_size;\n191\t\n192\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n193\t let reconciler = AntiEntropyReconciler::new(config, topology, Arc::new(mock_client));\n194\t\n195\t let node_id = NodeId::new(\"node-1\".to_string());\n196\t let result = reconciler\n197\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n198\t .await;\n199\t\n200\t assert!(result.is_ok());\n201\t let fp = result.unwrap();\n202\t assert_eq!(fp.shard_id, 0);\n203\t assert_eq!(fp.document_count, total_docs as u64);\n204\t}\n205\t\n206\t#[tokio::test]\n207\tasync fn test_fingerprint_shard_content_hash_excludes_internal_fields() {\n208\t // Test that internal fields are excluded from content hash\n209\t let doc1 = json!({\n210\t \"id\": \"doc-1\",\n211\t \"title\": \"Same Title\",\n212\t \"content\": \"Same Content\",\n213\t \"_miroir_shard\": 0,\n214\t \"_miroir_updated_at\": 1234567890,\n215\t \"_rankingScore\": 0.95,\n216\t });\n217\t\n218\t let doc2 = json!({\n219\t \"id\": \"doc-1\",\n220\t \"title\": \"Same Title\",\n221\t \"content\": \"Same Content\",\n222\t });\n223\t\n224\t // Both documents should produce the same fingerprint despite internal fields\n225\t let mut mock_client = MockTestNodeClient::new();\n226\t mock_client.expect_fetch_documents().returning({\n227\t let mut call_count = 0;\n228\t move |_, _, req| {\n229\t let docs = if call_count == 0 {\n230\t call_count += 1;\n231\t vec![doc1.clone()]\n232\t } else {\n233\t vec![]\n234\t };\n235\t\n236\t Ok(FetchDocumentsResponse {\n237\t results: docs,\n238\t limit: req.limit,\n239\t offset: req.offset,\n240\t total: 1,\n241\t })\n242\t }\n243\t });\n244\t\n245\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n246\t let reconciler = AntiEntropyReconciler::new(\n247\t AntiEntropyConfig::default(),\n248\t topology,\n249\t Arc::new(mock_client),\n250\t );\n251\t\n252\t let node_id = NodeId::new(\"node-1\".to_string());\n253\t let result = reconciler\n254\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n255\t .await;\n256\t\n257\t assert!(result.is_ok());\n258\t let fp = result.unwrap();\n259\t assert_eq!(fp.document_count, 1);\n260\t}\n261\t\n262\t#[tokio::test]\n263\tasync fn test_fingerprint_shard_different_content_different_hash() {\n264\t // Test that different content produces different hashes\n265\t let doc1 = json!({\n266\t \"id\": \"doc-1\",\n267\t \"title\": \"First Title\",\n268\t \"_miroir_shard\": 0,\n269\t });\n270\t\n271\t let doc2 = json!({\n272\t \"id\": \"doc-1\",\n273\t \"title\": \"Second Title\",\n274\t \"_miroir_shard\": 0,\n275\t });\n276\t\n277\t // Create two reconcilers and compare fingerprints\n278\t let mut mock_client1 = MockTestNodeClient::new();\n279\t mock_client1.expect_fetch_documents().returning({\n280\t let mut call_count = 0;\n281\t move |_, _, req| {\n282\t let docs = if call_count == 0 {\n283\t call_count += 1;\n284\t vec![doc1.clone()]\n285\t } else {\n286\t vec![]\n287\t };\n288\t\n289\t Ok(FetchDocumentsResponse {\n290\t results: docs,\n291\t limit: req.limit,\n292\t offset: req.offset,\n293\t total: 1,\n294\t })\n295\t }\n296\t });\n297\t\n298\t let mut mock_client2 = MockTestNodeClient::new();\n299\t mock_client2.expect_fetch_documents().returning({\n300\t let mut call_count = 0;\n301\t move |_, _, req| {\n302\t let docs = if call_count == 0 {\n303\t call_count += 1;\n304\t vec![doc2.clone()]\n305\t } else {\n306\t vec![]\n307\t };\n308\t\n309\t Ok(FetchDocumentsResponse {\n310\t results: docs,\n311\t limit: req.limit,\n312\t offset: req.offset,\n313\t total: 1,\n314\t })\n315\t }\n316\t });\n317\t\n318\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n319\t\n320\t let reconciler1 = AntiEntropyReconciler::new(\n321\t AntiEntropyConfig::default(),\n322\t topology.clone(),\n323\t Arc::new(mock_client1),\n324\t );\n325\t\n326\t let reconciler2 = AntiEntropyReconciler::new(\n327\t AntiEntropyConfig::default(),\n328\t topology,\n329\t Arc::new(mock_client2),\n330\t );\n331\t\n332\t let node_id = NodeId::new(\"node-1\".to_string());\n333\t\n334\t let fp1 = reconciler1\n335\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n336\t .await\n337\t .unwrap();\n338\t\n339\t let fp2 = reconciler2\n340\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n341\t .await\n342\t .unwrap();\n343\t\n344\t // Different content should produce different hashes\n345\t assert_ne!(fp1.merkle_root, fp2.merkle_root);\n346\t}\n347\t\n348\t#[tokio::test]\n349\tasync fn test_fingerprint_shard_same_content_same_hash() {\n350\t // Test that identical content produces identical hashes\n351\t let doc = json!({\n352\t \"id\": \"doc-1\",\n353\t \"title\": \"Same Title\",\n354\t \"content\": \"Same Content\",\n355\t \"_miroir_shard\": 0,\n356\t });\n357\t\n358\t let mut mock_client1 = MockTestNodeClient::new();\n359\t mock_client1.expect_fetch_documents().returning({\n360\t let doc = doc.clone();\n361\t let mut call_count = 0;\n362\t move |_, _, req| {\n363\t let docs = if call_count == 0 {\n364\t call_count += 1;\n365\t vec![doc.clone()]\n366\t } else {\n367\t vec![]\n368\t };\n369\t\n370\t Ok(FetchDocumentsResponse {\n371\t results: docs,\n372\t limit: req.limit,\n373\t offset: req.offset,\n374\t total: 1,\n375\t })\n376\t }\n377\t });\n378\t\n379\t let mut mock_client2 = MockTestNodeClient::new();\n380\t mock_client2.expect_fetch_documents().returning({\n381\t let doc = doc.clone();\n382\t let mut call_count = 0;\n383\t move |_, _, req| {\n384\t let docs = if call_count == 0 {\n385\t call_count += 1;\n386\t vec![doc.clone()]\n387\t } else {\n388\t vec![]\n389\t };\n390\t\n391\t Ok(FetchDocumentsResponse {\n392\t results: docs,\n393\t limit: req.limit,\n394\t offset: req.offset,\n395\t total: 1,\n396\t })\n397\t }\n398\t });\n399\t\n400\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n401\t\n402\t let reconciler1 = AntiEntropyReconciler::new(\n403\t AntiEntropyConfig::default(),\n404\t topology.clone(),\n405\t Arc::new(mock_client1),\n406\t );\n407\t\n408\t let reconciler2 = AntiEntropyReconciler::new(\n409\t AntiEntropyConfig::default(),\n410\t topology,\n411\t Arc::new(mock_client2),\n412\t );\n413\t\n414\t let node_id = NodeId::new(\"node-1\".to_string());\n415\t\n416\t let fp1 = reconciler1\n417\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n418\t .await\n419\t .unwrap();\n420\t\n421\t let fp2 = reconciler2\n422\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n423\t .await\n424\t .unwrap();\n425\t\n426\t // Same content should produce same hash\n427\t assert_eq!(fp1.merkle_root, fp2.merkle_root);\n428\t}\n429\t\n430\t#[tokio::test]\n431\tasync fn test_fingerprint_shard_key_order_independence() {\n432\t // Test that JSON key order doesn't affect the hash\n433\t let doc1 = json!({\n434\t \"id\": \"doc-1\",\n435\t \"z_field\": \"z_value\",\n436\t \"a_field\": \"a_value\",\n437\t \"m_field\": \"m_value\",\n438\t \"_miroir_shard\": 0,\n439\t });\n440\t\n441\t let doc2 = json!({\n442\t \"m_field\": \"m_value\",\n443\t \"a_field\": \"a_value\",\n444\t \"id\": \"doc-1\",\n445\t \"z_field\": \"z_value\",\n446\t \"_miroir_shard\": 0,\n447\t });\n448\t\n449\t let mut mock_client1 = MockTestNodeClient::new();\n450\t mock_client1.expect_fetch_documents().returning({\n451\t let mut call_count = 0;\n452\t move |_, _, req| {\n453\t let docs = if call_count == 0 {\n454\t call_count += 1;\n455\t vec![doc1.clone()]\n456\t } else {\n457\t vec![]\n458\t };\n459\t\n460\t Ok(FetchDocumentsResponse {\n461\t results: docs,\n462\t limit: req.limit,\n463\t offset: req.offset,\n464\t total: 1,\n465\t })\n466\t }\n467\t });\n468\t\n469\t let mut mock_client2 = MockTestNodeClient::new();\n470\t mock_client2.expect_fetch_documents().returning({\n471\t let mut call_count = 0;\n472\t move |_, _, req| {\n473\t let docs = if call_count == 0 {\n474\t call_count += 1;\n475\t vec![doc2.clone()]\n476\t } else {\n477\t vec![]\n478\t };\n479\t\n480\t Ok(FetchDocumentsResponse {\n481\t results: docs,\n482\t limit: req.limit,\n483\t offset: req.offset,\n484\t total: 1,\n485\t })\n486\t }\n487\t });\n488\t\n489\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n490\t\n491\t let reconciler1 = AntiEntropyReconciler::new(\n492\t AntiEntropyConfig::default(),\n493\t topology.clone(),\n494\t Arc::new(mock_client1),\n495\t );\n496\t\n497\t let reconciler2 = AntiEntropyReconciler::new(\n498\t AntiEntropyConfig::default(),\n499\t topology,\n500\t Arc::new(mock_client2),\n501\t );\n502\t\n503\t let node_id = NodeId::new(\"node-1\".to_string());\n504\t\n505\t let fp1 = reconciler1\n506\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n507\t .await\n508\t .unwrap();\n509\t\n510\t let fp2 = reconciler2\n511\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n512\t .await\n513\t .unwrap();\n514\t\n515\t // Same content with different key order should produce same hash\n516\t assert_eq!(fp1.merkle_root, fp2.merkle_root);\n517\t}\n518\t\n519\t#[tokio::test]\n520\tasync fn test_fingerprint_shard_different_shard_ids_different_hashes() {\n521\t // Test that different shard IDs produce different hashes (different seed)\n522\t let doc = json!({\n523\t \"id\": \"doc-1\",\n524\t \"title\": \"Same Title\",\n525\t \"_miroir_shard\": 0, // This is overridden by the filter anyway\n526\t });\n527\t\n528\t let mut mock_client = MockTestNodeClient::new();\n529\t mock_client.expect_fetch_documents().returning({\n530\t let mut call_count = 0;\n531\t move |_, _, req| {\n532\t let docs = if call_count == 0 {\n533\t call_count += 1;\n534\t vec![doc.clone()]\n535\t } else {\n536\t vec![]\n537\t };\n538\t\n539\t Ok(FetchDocumentsResponse {\n540\t results: docs,\n541\t limit: req.limit,\n542\t offset: req.offset,\n543\t total: 1,\n544\t })\n545\t }\n546\t });\n547\t\n548\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n549\t let reconciler = AntiEntropyReconciler::new(\n550\t AntiEntropyConfig::default(),\n551\t topology,\n552\t Arc::new(mock_client),\n553\t );\n554\t\n555\t let node_id = NodeId::new(\"node-1\".to_string());\n556\t\n557\t let fp1 = reconciler\n558\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n559\t .await\n560\t .unwrap();\n561\t\n562\t let fp2 = reconciler\n563\t .fingerprint_shard(&node_id, 1, \"test_index\", \"http://localhost\")\n564\t .await\n565\t .unwrap();\n566\t\n567\t // Different shard ID (different seed) should produce different hash\n568\t assert_ne!(fp1.merkle_root, fp2.merkle_root);\n569\t}\n570\t\n571\t#[tokio::test]\n572\tasync fn test_fingerprint_config_batch_size() {\n573\t // Test that fingerprint_batch_size configuration is respected\n574\t let batch_size = 5u32;\n575\t let total_docs = 12u32;\n576\t\n577\t let mut mock_client = MockTestNodeClient::new();\n578\t mock_client.expect_fetch_documents().returning(move |_, _, req| {\n579\t let start = req.offset;\n580\t if start >= total_docs {\n581\t // Return empty result when offset exceeds total\n582\t return Ok(FetchDocumentsResponse {\n583\t results: vec![],\n584\t limit: req.limit,\n585\t offset: req.offset,\n586\t total: total_docs as u64,\n587\t });\n588\t }\n589\t let end = std::cmp::min(req.offset + req.limit, total_docs);\n590\t let count = end - start;\n591\t\n592\t let docs: Vec = (start..end)\n593\t .map(|i| {\n594\t json!({\n595\t \"id\": format!(\"doc-{}\", i),\n596\t \"_miroir_shard\": 0,\n597\t })\n598\t })\n599\t .collect();\n600\t\n601\t Ok(FetchDocumentsResponse {\n602\t results: docs,\n603\t limit: req.limit,\n604\t offset: req.offset,\n605\t total: total_docs as u64,\n606\t })\n607\t });\n608\t\n609\t let mut config = AntiEntropyConfig::default();\n610\t config.fingerprint_batch_size = batch_size;\n611\t\n612\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n613\t let reconciler = AntiEntropyReconciler::new(config, topology, Arc::new(mock_client));\n614\t\n615\t let node_id = NodeId::new(\"node-1\".to_string());\n616\t let result = reconciler\n617\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n618\t .await;\n619\t\n620\t assert!(result.is_ok());\n621\t // With 12 docs and batch size 5, we expect 3 fetches: 5 + 5 + 2 + 1 (empty check)\n622\t // Actually the loop continues until empty, so: 5 + 5 + 2 + 0 (empty) = 4 fetches\n623\t}\n624\t\n625\t#[tokio::test]\n626\tasync fn test_compute_content_hash_unit() {\n627\t // Unit tests for compute_content_hash\n628\t use miroir_core::anti_entropy::AntiEntropyReconciler;\n629\t\n630\t let doc1 = json!({\n631\t \"id\": \"test-1\",\n632\t \"title\": \"Test\",\n633\t \"_miroir_shard\": 5,\n634\t });\n635\t\n636\t let doc2 = json!({\n637\t \"id\": \"test-1\",\n638\t \"title\": \"Test\",\n639\t });\n640\t\n641\t // Create a dummy reconciler just to call the static method\n642\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n643\t let reconciler = AntiEntropyReconciler::::new(\n644\t AntiEntropyConfig::default(),\n645\t topology,\n646\t Arc::new(MockTestNodeClient::new()),\n647\t );\n648\t\n649\t let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc1);\n650\t let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc2);\n651\t\n652\t assert_eq!(hash1, hash2, \"internal fields should not 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Scatter orchestration: fan-out logic and covering set builder.\n2\t\n3\tuse crate::config::UnavailableShardPolicy;\n4\tuse tracing::{instrument, info_span, Instrument};\n5\tuse crate::merger::{MergeInput, MergedSearchResult, MergeStrategy, ShardHitPage};\n6\tuse crate::router::{covering_set, covering_set_with_version_floor, query_group};\n7\tuse crate::topology::{NodeId, Topology};\n8\tuse crate::Result;\n9\tuse serde::{Deserialize, Serialize};\n10\tuse serde_json::Value;\n11\tuse std::collections::HashMap;\n12\t\n13\t/// Scatter plan: the exact shard→node mapping for a search query.\n14\t#[derive(Debug, Clone)]\n15\tpub struct ScatterPlan {\n16\t pub chosen_group: u32,\n17\t pub target_shards: Vec,\n18\t pub shard_to_node: HashMap,\n19\t pub deadline_ms: u32,\n20\t pub hedging_eligible: bool,\n21\t}\n22\t\n23\t// ---------------------------------------------------------------------------\n24\t// §15 OP#4: Global-IDF preflight (dfs_query_then_fetch pattern)\n25\t// ---------------------------------------------------------------------------\n26\t\n27\t/// Per-term document frequency from a single shard.\n28\t#[derive(Debug, Clone, Serialize, Deserialize)]\n29\tpub struct TermStats {\n30\t pub df: u64,\n31\t}\n32\t\n33\t/// Preflight request: gather term-frequency statistics from a shard.\n34\t#[derive(Debug, Clone, Serialize, Deserialize)]\n35\tpub struct PreflightRequest {\n36\t pub index_uid: String,\n37\t pub terms: Vec,\n38\t pub filter: Option,\n39\t}\n40\t\n41\t/// Response from a shard's preflight query.\n42\t#[derive(Debug, Clone, Serialize, Deserialize)]\n43\tpub struct PreflightResponse {\n44\t pub total_docs: u64,\n45\t pub avg_doc_length: f64,\n46\t pub term_stats: HashMap,\n47\t}\n48\t\n49\t/// Aggregated global term statistics after coordinator aggregation.\n50\t#[derive(Debug, Clone, Serialize, Deserialize)]\n51\tpub struct GlobalTermStats {\n52\t pub df: u64,\n53\t pub idf: f64,\n54\t}\n55\t\n56\t/// Aggregated global IDF data computed at the coordinator.\n57\t#[derive(Debug, Clone, Serialize, Deserialize)]\n58\tpub struct GlobalIdf {\n59\t pub total_docs: u64,\n60\t pub avg_doc_length: f64,\n61\t pub terms: HashMap,\n62\t}\n63\t\n64\timpl GlobalIdf {\n65\t /// Aggregate per-shard preflight responses into global IDF.\n66\t pub fn from_preflight_responses(responses: &[PreflightResponse]) -> Self {\n67\t let mut total_docs = 0u64;\n68\t let mut total_length = 0.0f64;\n69\t let mut term_df: HashMap = HashMap::new();\n70\t\n71\t for resp in responses {\n72\t total_docs += resp.total_docs;\n73\t total_length += resp.avg_doc_length * resp.total_docs as f64;\n74\t for (term, stats) in &resp.term_stats {\n75\t *term_df.entry(term.clone()).or_insert(0) += stats.df;\n76\t }\n77\t }\n78\t\n79\t let avg_doc_length = if total_docs > 0 {\n80\t total_length / total_docs as f64\n81\t } else {\n82\t 0.0\n83\t };\n84\t\n85\t let n = total_docs as f64;\n86\t let terms = term_df\n87\t .into_iter()\n88\t .map(|(term, df)| {\n89\t let idf = if df == 0 {\n90\t 0.0\n91\t } else {\n92\t ((n - df as f64 + 0.5) / (df as f64 + 0.5)).ln() + 1.0\n93\t };\n94\t (term, GlobalTermStats { df, idf })\n95\t })\n96\t .collect();\n97\t\n98\t Self { total_docs, avg_doc_length, terms }\n99\t }\n100\t}\n101\t\n102\t// ---------------------------------------------------------------------------\n103\t// NodeClient trait\n104\t// ---------------------------------------------------------------------------\n105\t\n106\t// ---------------------------------------------------------------------------\n107\t// Write path: document operations (P2.2)\n108\t// ---------------------------------------------------------------------------\n109\t\n110\t/// Request to add/replace documents on a node.\n111\t#[derive(Debug, Clone, Serialize, Deserialize)]\n112\tpub struct WriteRequest {\n113\t pub index_uid: String,\n114\t pub documents: Vec,\n115\t pub primary_key: Option,\n116\t /// Internal origin tag for CDC event suppression (plan §13.13).\n117\t /// - None = client write (always emitted to CDC)\n118\t /// - Some(\"antientropy\") = anti-entropy repair write (suppressed unless emit_internal_writes)\n119\t /// - Some(\"reshard_backfill\") = reshard backfill write (suppressed unless emit_internal_writes)\n120\t /// - Some(\"rollover\") = ILM rollover write (suppressed unless emit_internal_writes)\n121\t /// - Some(\"ttl_expire\") = TTL expiration delete (suppressed unless emit_ttl_deletes)\n122\t ///\n123\t /// This field is NEVER stored on documents and never returned to clients.\n124\t #[serde(skip_serializing_if = \"Option::is_none\")]\n125\t pub origin: Option,\n126\t}\n127\t\n128\t/// Response from a single node's document write operation.\n129\t#[derive(Debug, Clone, Serialize, Deserialize)]\n130\tpub struct WriteResponse {\n131\t pub success: bool,\n132\t pub task_uid: Option,\n133\t pub message: Option,\n134\t pub code: Option,\n135\t pub error_type: Option,\n136\t}\n137\t\n138\t/// Request to delete documents by IDs.\n139\t#[derive(Debug, Clone, Serialize, Deserialize)]\n140\tpub struct DeleteByIdsRequest {\n141\t pub index_uid: String,\n142\t pub ids: Vec,\n143\t /// Internal origin tag for CDC event suppression (plan §13.13).\n144\t #[serde(skip_serializing_if = \"Option::is_none\")]\n145\t pub origin: Option,\n146\t}\n147\t\n148\t/// Request to delete all documents matching a filter.\n149\t#[derive(Debug, Clone, Serialize, Deserialize)]\n150\tpub struct DeleteByFilterRequest {\n151\t pub index_uid: String,\n152\t pub filter: Value,\n153\t /// Internal origin tag for CDC event suppression (plan §13.13).\n154\t #[serde(skip_serializing_if = \"Option::is_none\")]\n155\t pub origin: Option,\n156\t}\n157\t\n158\t/// Response from a delete operation.\n159\tpub type DeleteResponse = WriteResponse;\n160\t\n161\t/// Request to fetch documents with a filter (used for shard migration).\n162\t#[derive(Debug, Clone, Serialize, Deserialize)]\n163\tpub struct FetchDocumentsRequest {\n164\t pub index_uid: String,\n165\t pub filter: Value,\n166\t pub limit: u32,\n167\t pub offset: u32,\n168\t}\n169\t\n170\t/// Response from a fetch documents operation.\n171\t#[derive(Debug, Clone, Serialize, Deserialize)]\n172\tpub struct FetchDocumentsResponse {\n173\t pub results: Vec,\n174\t pub limit: u32,\n175\t pub offset: u32,\n176\t pub total: u64,\n177\t}\n178\t\n179\t/// Request to get task status from a node.\n180\t#[derive(Debug, Clone, Serialize, Deserialize)]\n181\tpub struct TaskStatusRequest {\n182\t /// The task UID to query\n183\t pub task_uid: u64,\n184\t}\n185\t\n186\t/// Response from a single node's task status query.\n187\t#[derive(Debug, Clone, Serialize, Deserialize)]\n188\tpub struct TaskStatusResponse {\n189\t /// The task UID\n190\t pub task_uid: u64,\n191\t /// Current task status\n192\t pub status: String,\n193\t /// Error message if failed\n194\t pub error: Option,\n195\t /// Error type if failed\n196\t #[serde(rename = \"type\")]\n197\t pub error_type: Option,\n198\t}\n199\t\n200\timpl TaskStatusResponse {\n201\t /// Convert Meilisearch status string to NodeTaskStatus.\n202\t pub fn to_node_status(&self) -> crate::task::NodeTaskStatus {\n203\t match self.status.as_str() {\n204\t \"enqueued\" => crate::task::NodeTaskStatus::Enqueued,\n205\t \"processing\" => crate::task::NodeTaskStatus::Processing,\n206\t \"succeeded\" => crate::task::NodeTaskStatus::Succeeded,\n207\t \"failed\" => crate::task::NodeTaskStatus::Failed,\n208\t _ => crate::task::NodeTaskStatus::Enqueued,\n209\t }\n210\t }\n211\t}\n212\t\n213\t// ---------------------------------------------------------------------------\n214\t// NodeClient trait\n215\t// ---------------------------------------------------------------------------\n216\t\n217\t/// HTTP client for communicating with a Meilisearch node.\n218\t#[allow(async_fn_in_trait)]\n219\tpub trait NodeClient: Send + Sync {\n220\t async fn search_node(\n221\t &self,\n222\t node: &NodeId,\n223\t address: &str,\n224\t request: &SearchRequest,\n225\t ) -> std::result::Result;\n226\t\n227\t /// Execute a preflight request (OP#4 global-IDF phase).\n228\t async fn preflight_node(\n229\t &self,\n230\t _node: &NodeId,\n231\t _address: &str,\n232\t _request: &PreflightRequest,\n233\t ) -> std::result::Result {\n234\t Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\n235\t }\n236\t\n237\t /// Write documents to a node (add/replace).\n238\t async fn write_documents(\n239\t &self,\n240\t _node: &NodeId,\n241\t _address: &str,\n242\t _request: &WriteRequest,\n243\t ) -> std::result::Result {\n244\t Ok(WriteResponse {\n245\t success: false,\n246\t task_uid: None,\n247\t message: Some(\"not implemented\".to_string()),\n248\t code: None,\n249\t error_type: None,\n250\t })\n251\t }\n252\t\n253\t /// Get task status from a node.\n254\t fn get_task_status(\n255\t &self,\n256\t _node: &NodeId,\n257\t _address: &str,\n258\t _request: &TaskStatusRequest,\n259\t ) -> impl std::future::Future> + Send {\n260\t async move {\n261\t Ok(TaskStatusResponse {\n262\t task_uid: _request.task_uid,\n263\t status: \"succeeded\".to_string(),\n264\t error: None,\n265\t error_type: None,\n266\t })\n267\t }\n268\t }\n269\t\n270\t /// Delete documents by IDs from a node.\n271\t async fn delete_documents(\n272\t &self,\n273\t _node: &NodeId,\n274\t _address: &str,\n275\t _request: &DeleteByIdsRequest,\n276\t ) -> std::result::Result {\n277\t Ok(DeleteResponse {\n278\t success: false,\n279\t task_uid: None,\n280\t message: Some(\"not implemented\".to_string()),\n281\t code: None,\n282\t error_type: None,\n283\t })\n284\t }\n285\t\n286\t /// Delete all documents matching a filter from a node.\n287\t async fn delete_documents_by_filter(\n288\t &self,\n289\t _node: &NodeId,\n290\t _address: &str,\n291\t _request: &DeleteByFilterRequest,\n292\t ) -> std::result::Result {\n293\t Ok(DeleteResponse {\n294\t success: false,\n295\t task_uid: None,\n296\t message: Some(\"not implemented\".to_string()),\n297\t code: None,\n298\t error_type: None,\n299\t })\n300\t }"}]},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"7724544d-2d1e-4e4e-b0e4-decbfb75272f","timestamp":"2026-05-23T12:42:04.093Z","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_75f401d25c67411e9d2afc32","type":"tool_result","content":"crates/miroir-core/src/migrations/002_feature_tables.sql:66: template_json TEXT NOT NULL, -- JSON: { primary_key, settings_ref }\ncrates/miroir-core/src/mode_c_acceptance_tests.rs:30: primary_key: Some(\"id\".to_string()),\ncrates/miroir-core/src/mode_c_acceptance_tests.rs:45: primary_key: None,\ncrates/miroir-core/src/api_error.rs:29: PrimaryKeyRequired,\ncrates/miroir-core/src/api_error.rs:49: MiroirCode::PrimaryKeyRequired,\ncrates/miroir-core/src/api_error.rs:68: Self::PrimaryKeyRequired => \"miroir_primary_key_required\",\ncrates/miroir-core/src/api_error.rs:88: Self::PrimaryKeyRequired\ncrates/miroir-core/src/api_error.rs:105: Self::PrimaryKeyRequired | Self::ReservedField => 400,\ncrates/miroir-core/src/api_error.rs:126: \"miroir_primary_key_required\" => Some(Self::PrimaryKeyRequired),\ncrates/miroir-core/src/api_error.rs:236: fn miroir_primary_key_required_shape() {\ncrates/miroir-core/src/api_error.rs:238: MiroirCode::PrimaryKeyRequired,\ncrates/miroir-core/src/api_error.rs:243: assert_eq!(json[\"code\"], \"miroir_primary_key_required\");\ncrates/miroir-core/src/api_error.rs:246: assert!(json[\"link\"].as_str().unwrap().contains(\"miroir_primary_key_required\"));\ncrates/miroir-core/src/api_error.rs:466: (MiroirCode::PrimaryKeyRequired, 400),\ncrates/miroir-core/src/cdc.rs:70: pub primary_keys: Vec,\ncrates/miroir-core/src/cdc.rs:396: primary_keys: vec![\"sku-123\".into()],\ncrates/miroir-core/src/cdc.rs:428: primary_keys: vec![\"sku-123\".into()],\ncrates/miroir-core/src/cdc.rs:455: primary_keys: vec![\"sku-123\".into()],\ncrates/miroir-core/src/cdc.rs:497: primary_keys: vec![\"sku-123\".into()],\ncrates/miroir-core/src/cdc.rs:537: primary_keys: vec![\"sku-123\".into()],\ncrates/miroir-core/src/cdc.rs:578: primary_keys: vec![\"sku-123\".into()],\ncrates/miroir-core/src/cdc.rs:617: primary_keys: vec![\"sku-123\".into()],\ncrates/miroir-core/src/mode_c_worker/mod.rs:371: /// 3. Route each document to target shard based on primary_key\ncrates/miroir-core/src/mode_c_worker/mod.rs:386: let primary_key = params.primary_key.as_deref().unwrap_or(\"id\");\ncrates/miroir-core/src/mode_c_worker/mod.rs:411: let doc_key = format!(\"{}-{}-{}\", primary_key, start_offset + bytes_processed, i);\ncrates/miroir-core/src/query_planner.rs:63: primary_keys: std::sync::Arc>>,\ncrates/miroir-core/src/query_planner.rs:71: primary_keys: std::sync::Arc::new(tokio::sync::RwLock::new(\ncrates/miroir-core/src/query_planner.rs:78: pub async fn set_primary_key(&self, index: String, pk_field: String) {\ncrates/miroir-core/src/query_planner.rs:79: let mut pks = self.primary_keys.write().await;\ncrates/miroir-core/src/query_planner.rs:84: pub async fn get_primary_key(&self, index: &str) -> Option {\n\n[Showing results with pagination = limit: 30]"}]},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"1da64ed6-07a8-4603-8f5f-ab7c4c32cf10","timestamp":"2026-05-23T12:42:04.099Z","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_90d7966ab055478190523cf9","type":"tool_result","content":"crates/miroir-core/src/merger.rs:370: let mut seen_pks = std::collections::HashSet::new();\ncrates/miroir-core/src/router.rs:378: // Known test vectors computed with: XxHash64::with_seed(0).hash(pk) % shard_count\ncrates/miroir-core/src/reshard.rs:764: /// PKs with content hash mismatch.\ncrates/miroir-core/src/anti_entropy.rs:33:/// Number of buckets for granular diff (plan §13.8 step 2).\ncrates/miroir-core/src/anti_entropy.rs:35:/// Each bucket isolates divergence to ~1/256 (≈0.4%) of the PK space.\ncrates/miroir-core/src/anti_entropy.rs:36:pub const BUCKET_COUNT: usize = 256;\ncrates/miroir-core/src/anti_entropy.rs:77: /// Per-bucket hashes for detailed diff.\ncrates/miroir-core/src/anti_entropy.rs:78: pub bucket_hashes: Vec,\ncrates/miroir-core/src/anti_entropy.rs:167: /// Compute bucket ID for a primary key (plan §13.8 step 2).\ncrates/miroir-core/src/anti_entropy.rs:169: /// Uses pk-hash modulo BUCKET_COUNT to isolate divergence to ~0.4% of PK space.\ncrates/miroir-core/src/anti_entropy.rs:170: /// This is reused by §13.1 reshard verify with PK-keyed bucketing.\ncrates/miroir-core/src/anti_entropy.rs:171: pub fn bucket_for_primary_key(primary_key: &str) -> usize {\ncrates/miroir-core/src/anti_entropy.rs:174: (hasher.finish() as usize) % BUCKET_COUNT\ncrates/miroir-core/src/anti_entropy.rs:210: /// streaming xxh3 digest. Also computes per-bucket hashes for diff.\ncrates/miroir-core/src/anti_entropy.rs:223: // Per-bucket hashers for granular diff (plan §13.8 step 2)\ncrates/miroir-core/src/anti_entropy.rs:224: let mut bucket_hashers: Vec = (0..BUCKET_COUNT)\ncrates/miroir-core/src/anti_entropy.rs:260: let mut pk_hasher = XxHash64::with_seed(0);\ncrates/miroir-core/src/anti_entropy.rs:261: pk_hasher.write(primary_key.as_bytes());\ncrates/miroir-core/src/anti_entropy.rs:262: pk_hasher.write_u64(content_hash);\ncrates/miroir-core/src/anti_entropy.rs:263: let doc_hash = pk_hasher.finish();\n\n[Showing results with pagination = limit: 20]"}]},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"9f0c3e9d-bc26-4067-a31c-1ae094fae014","timestamp":"2026-05-23T12:42:04.103Z","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"system","subtype":"task_progress","task_id":"a0806dddd01e11d8c","tool_use_id":"call_7e034afb6de5418d9f91a953","description":"Searching for struct.*Repair|Repair.*struct|enum.*Repair","subagent_type":"Explore","usage":{"total_tokens":0,"tool_uses":12,"duration_ms":20302},"last_tool_name":"Grep","uuid":"2d3fd997-62bc-407f-a1d3-7bb9a8d71a51","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} +{"type":"assistant","message":{"id":"msg_20260523204206b81cb52cafb64dc3","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_c06d66d2b27b486dbbb98e5e","name":"Grep","input":{"output_mode":"content","path":"/home/coding/miroir/crates/miroir-core/src","pattern":"struct.*Repair|Repair.*struct|enum.*Repair"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"36885716-c060-464e-9fa2-d854c657cca1","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"system","subtype":"task_progress","task_id":"a0806dddd01e11d8c","tool_use_id":"call_7e034afb6de5418d9f91a953","description":"Searching for write_documents|WriteRequest","subagent_type":"Explore","usage":{"total_tokens":0,"tool_uses":13,"duration_ms":20747},"last_tool_name":"Grep","uuid":"0afa7406-c431-40f1-8b8d-b4139cf20275","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} +{"type":"assistant","message":{"id":"msg_20260523204206b81cb52cafb64dc3","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_99fb1db8775a462db98c3094","name":"Grep","input":{"output_mode":"content","path":"/home/coding/miroir/crates/miroir-core/src","pattern":"write_documents|WriteRequest","head_limit":25}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"f10086fa-7503-4b99-bae3-225a0c79d1b6","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"system","subtype":"task_progress","task_id":"a0806dddd01e11d8c","tool_use_id":"call_7e034afb6de5418d9f91a953","description":"Reading crates/miroir-core/src/router.rs","subagent_type":"Explore","usage":{"total_tokens":0,"tool_uses":14,"duration_ms":20955},"last_tool_name":"Read","uuid":"eb3df06a-c30a-437f-bff4-5e55e789b6e1","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} +{"type":"assistant","message":{"id":"msg_20260523204206b81cb52cafb64dc3","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_68d069329ac748eab7652a70","name":"Read","input":{"file_path":"/home/coding/miroir/crates/miroir-core/src/router.rs","limit":100}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"e1fa68c2-57f0-4453-a841-e17595538192","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_68d069329ac748eab7652a70","type":"tool_result","content":"1\t//! Rendezvous hash-based routing and shard assignment.\n2\t\n3\tuse crate::migration::{MigrationCoordinator, ShardId};\n4\tuse crate::topology::{Group, NodeId, Topology};\n5\tuse std::collections::HashSet;\n6\tuse std::hash::{Hash, Hasher};\n7\tuse twox_hash::XxHash64;\n8\t\n9\t/// Compute a rendezvous score for a shard+node pair.\n10\t///\n11\t/// Higher scores win; used for deterministic shard assignment.\n12\tpub fn score(shard_id: u32, node_id: &str) -> u64 {\n13\t let mut h = XxHash64::with_seed(0);\n14\t shard_id.hash(&mut h);\n15\t node_id.hash(&mut h);\n16\t h.finish()\n17\t}\n18\t\n19\t/// Assign a shard to `rf` nodes within a single replica group.\n20\t///\n21\t/// `group_nodes` is the subset of nodes belonging to that group.\n22\t///\n23\t/// Sorts by score descending, breaking ties lexicographically on node_id\n24\t/// for deterministic resolution.\n25\tpub fn assign_shard_in_group(shard_id: u32, group_nodes: &[NodeId], rf: usize) -> Vec {\n26\t let mut scored: Vec<(u64, &NodeId)> = group_nodes\n27\t .iter()\n28\t .map(|n| (score(shard_id, n.as_str()), n))\n29\t .collect();\n30\t scored.sort_unstable_by(|a, b| {\n31\t b.0.cmp(&a.0)\n32\t .then_with(|| a.1.as_str().cmp(b.1.as_str()))\n33\t });\n34\t scored\n35\t .into_iter()\n36\t .take(rf)\n37\t .map(|(_, n)| n.clone())\n38\t .collect()\n39\t}\n40\t\n41\t/// All write targets for a document: the RF nodes in EACH replica group.\n42\tpub fn write_targets(shard_id: u32, topology: &Topology) -> Vec {\n43\t topology\n44\t .groups()\n45\t .flat_map(|group| assign_shard_in_group(shard_id, group.nodes(), topology.rf()))\n46\t .collect()\n47\t}\n48\t\n49\t/// All write targets for a document, considering dual-write state during migration.\n50\t///\n51\t/// This is the migration-aware version of `write_targets`. When a shard is in\n52\t/// dual-write phase (node addition in progress), it includes both the old owner\n53\t/// AND the new node in the target list to ensure no writes are lost during migration.\n54\t///\n55\t/// # Arguments\n56\t/// * `shard_id` - The shard ID being written to\n57\t/// * `topology` - The cluster topology\n58\t/// * `migration_coordinator` - Optional migration coordinator for dual-write detection\n59\t///\n60\t/// # Returns\n61\t/// A vector of node IDs that should receive the write. During dual-write for a shard,\n62\t/// this includes both the standard RF nodes AND the new node.\n63\tpub fn write_targets_with_migration(\n64\t shard_id: u32,\n65\t topology: &Topology,\n66\t migration_coordinator: Option<&MigrationCoordinator>,\n67\t) -> Vec {\n68\t let shard = ShardId(shard_id);\n69\t\n70\t // Start with standard write targets\n71\t let mut targets: Vec = write_targets(shard_id, topology);\n72\t\n73\t // Check if this shard is in dual-write phase\n74\t if let Some(coordinator) = migration_coordinator {\n75\t if coordinator.is_dual_write_active(shard) {\n76\t // Find migrations affecting this shard\n77\t for (_mid, state) in coordinator.get_all_migrations() {\n78\t if state.affected_shards.contains_key(&shard) {\n79\t // This shard is being migrated - include the new node\n80\t // Convert migration NodeId to topology NodeId\n81\t let new_node_id = crate::topology::NodeId::new(state.new_node.0.clone());\n82\t\n83\t // Only add if not already in targets\n84\t if !targets.contains(&new_node_id) {\n85\t targets.push(new_node_id);\n86\t }\n87\t }\n88\t }\n89\t }\n90\t }\n91\t\n92\t targets\n93\t}\n94\t\n95\t/// Select the replica group for a query (round-robin by query counter).\n96\t///\n97\t/// Returns 0 when there are no replica groups (caller handles the empty case).\n98\tpub fn query_group(query_seq: u64, replica_groups: u32) -> u32 {\n99\t if replica_groups == 0 {\n100\t return 0;"}]},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"5c511892-9e57-46ac-9c1a-14301c5e240d","timestamp":"2026-05-23T12:42:09.818Z","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_99fb1db8775a462db98c3094","type":"tool_result","content":"crates/miroir-core/src/rebalancer.rs:262: async fn write_documents(\ncrates/miroir-core/src/rebalancer.rs:1426: exec.write_documents(\ncrates/miroir-core/src/rebalancer.rs:1492: exec.write_documents(\ncrates/miroir-core/src/rebalancer.rs:1715: exec.write_documents(\ncrates/miroir-core/src/rebalancer.rs:1770: exec.write_documents(\ncrates/miroir-core/src/rebalancer.rs:1986: async fn write_documents(\ncrates/miroir-core/src/rebalancer_worker/mod.rs:1504: executor.write_documents(\ncrates/miroir-core/src/ttl.rs:14://! WriteRequest { ..., origin: Some(ORIGIN_TTL_EXPIRE.to_string()) }\ncrates/miroir-core/src/anti_entropy.rs:12://! When constructing `WriteRequest` for repair writes, set:\ncrates/miroir-core/src/anti_entropy.rs:15://! WriteRequest { ..., origin: Some(ORIGIN_ANTIENTROPY.to_string()) }\ncrates/miroir-core/src/reshard.rs:870:/// When constructing `WriteRequest` for backfill writes, set:\ncrates/miroir-core/src/reshard.rs:873:/// WriteRequest { ..., origin: Some(ORIGIN_RESHARD_BACKFILL.to_string()) }\ncrates/miroir-core/src/ilm.rs:12://! When constructing `WriteRequest` for rollover operations, set:\ncrates/miroir-core/src/ilm.rs:15://! WriteRequest { ..., origin: Some(ORIGIN_ROLLOVER.to_string()) }\ncrates/miroir-core/src/cdc.rs:25://! Set the origin tag when constructing `WriteRequest`:\ncrates/miroir-core/src/cdc.rs:28://! WriteRequest { origin: None, .. }\ncrates/miroir-core/src/cdc.rs:31://! WriteRequest { origin: Some(ORIGIN_ANTIENTROPY.to_string()), .. }\ncrates/miroir-core/src/scatter.rs:112:pub struct WriteRequest {\ncrates/miroir-core/src/scatter.rs:238: async fn write_documents(\ncrates/miroir-core/src/scatter.rs:242: _request: &WriteRequest,\ncrates/miroir-core/src/scatter.rs:809: async fn write_documents(\ncrates/miroir-core/src/scatter.rs:810: &self, node: &NodeId, _address: &str, _request: &WriteRequest,"}]},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"0cef6afa-fd21-4b2b-982f-047d799df054","timestamp":"2026-05-23T12:42:09.828Z","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_c06d66d2b27b486dbbb98e5e","type":"tool_result","content":"crates/miroir-core/src/anti_entropy.rs:96:pub struct RepairAction {\ncrates/miroir-core/src/anti_entropy.rs:111:pub enum RepairReason {"}]},"parent_tool_use_id":"call_7e034afb6de5418d9f91a953","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"b0f9282c-0712-4534-9643-a4b5afeb76b0","timestamp":"2026-05-23T12:42:09.840Z","subagent_type":"Explore","task_description":"Explore anti-entropy codebase"} +{"type":"system","subtype":"task_notification","task_id":"a0806dddd01e11d8c","tool_use_id":"call_7e034afb6de5418d9f91a953","status":"completed","output_file":"","summary":"Explore anti-entropy codebase","usage":{"total_tokens":0,"tool_uses":14,"duration_ms":35002},"uuid":"92a38f72-28b7-490b-8e26-eba15e7c6a12","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_7e034afb6de5418d9f91a953","type":"tool_result","content":[{"type":"text","text":"Now I have a comprehensive understanding of the anti-entropy implementation. Let me provide a concise summary of the architecture and what step 2 (diff) needs to integrate with.\n\n## Anti-Entropy Architecture Summary\n\n### 1. Current State of anti_entropy.rs\n\nThe `/home/coding/miroir/crates/miroir-core/src/anti_entropy.rs` file implements a complete fingerprint → diff → repair pipeline:\n\n**Key Functions:**\n- `fingerprint_shard()` (lines 211-301): Step 1 - Computes per-replica digests\n- `diff_fingerprints()` (lines 307-335): Step 2 - Identifies divergent buckets \n- `fetch_bucket_pks()` (lines 341-392): Step 2 - Fetches PKs for a specific bucket\n- `compare_bucket_replicas()` (lines 400-447): Step 2 - Compares replicas within a bucket\n- `repair_shard()` (lines 609-696): Step 3 - Orchestrates repair (partially implemented)\n\n**Fingerprint Mechanism (Step 1):**\n- Iterates documents with `filter=_miroir_shard={id}` in batches\n- Computes `hash(primary_key || content_hash)` per document\n- Folds into shard-level xxh3 digest seeded by shard_id\n- **Also computes per-bucket hashes** (lines 224-226, 270-271) for granular diff\n\n### 2. PK Representation and Hashing\n\n**PK Storage:**\n- Documents are `serde_json::Value` objects\n- PK is extracted from `doc[\"id\"]` or `doc[\"_id\"]` (lines 250-254)\n- PKs are stored as strings\n\n**PK Hashing:**\n- `bucket_for_primary_key()` (lines 171-175): `XxHash64::with_seed(0).hash(pk) % 256`\n- `compute_content_hash()` (lines 181-204): Canonicalizes document (strips `_miroir_*`, `_rankingScore`), sorts keys, hashes with xxh3\n\n### 3. Bucketing Patterns\n\n**Constants:**\n- `BUCKET_COUNT = 256` (line 36)\n- Each bucket isolates divergence to ~0.4% of PK space\n\n**Bucket Assignment:**\n```rust\npub fn bucket_for_primary_key(primary_key: &str) -> usize {\n let mut hasher = XxHash64::with_seed(0);\n hasher.write(primary_key.as_bytes());\n (hasher.finish() as usize) % BUCKET_COUNT\n}\n```\n\nThis is reused by reshard verify with PK-keyed bucketing (line 170 comment).\n\n### 4. Diff Step Integration Points\n\n**Data Structures:**\n- `ShardFingerprint` (lines 67-79): Contains `bucket_hashes: Vec` (256 hashes)\n- `ReplicaDiff` (lines 82-92): Returns `a_only_pks`, `b_only_pks`, `mismatched_pks`\n- `RepairAction` (lines 95-107): Defines repair structure with `RepairReason` enum\n\n**Integration Flow:**\n1. `diff_fingerprints()` compares `bucket_hashes` arrays to find divergent bucket IDs\n2. For each divergent bucket, `compare_bucket_replicas()` is called\n3. `compare_bucket_replicas()` calls `fetch_bucket_pks()` for both replicas\n4. Returns `ReplicaDiff` with categorized PK differences\n5. `repair_shard()` logs differences (lines 675-683) but actual repair writes are TODO\n\n**Test Coverage:**\n- `/home/coding/miroir/crates/miroir-proxy/tests/p5_8_a_anti_entropy_fingerprint.rs`: Fingerprint step tests\n- `/home/coding/miroir/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs`: Diff step tests (bucket_for_primary_key, diff_fingerprints, fetch_bucket_pks, compare_bucket_replicas)\n\n**CDC Integration:**\n- Repair writes should use `origin: Some(ORIGIN_ANTIENTROPY.to_string())` (line 15)\n- This suppresses CDC events unless `emit_internal_writes` is true (line 9 comment)\n\nThe architecture is well-structured with clear separation between fingerprinting, diffing, and repair phases. The diff step is already implemented and tested - it uses the per-bucket hashes computed during fingerprinting to efficiently narrow down the comparison space before fetching specific PKs for detailed comparison."}]}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"54480166-a1e5-4248-89a4-7949876f11f8","timestamp":"2026-05-23T12:42:23.855Z","tool_use_result":{"status":"completed","prompt":"Explore the miroir codebase to understand the anti-entropy implementation. I need to find:\n\n1. The current anti_entropy.rs implementation - understand the fingerprint mechanism and what step 1 looks like\n2. Any existing bucketing or hashing utilities for PKs\n3. The document structure and how PKs are stored\n4. Any test files related to anti-entropy\n\nFocus on:\n- crates/miroir-core/src/anti_entropy.rs\n- crates/miroir-core/src/ directory for relevant utilities\n- Any test files in crates/miroir-proxy/tests/ related to anti_entropy\n\nReport back:\n1. The current state of anti_entropy.rs - what functions exist, what the fingerprint step does\n2. How PKs are represented and hashed\n3. What patterns exist for bucketing\n4. What the diff step needs to integrate with\n\nKeep it concise - I need to understand the architecture to implement step 2.","agentId":"a0806dddd01e11d8c","agentType":"Explore","content":[{"type":"text","text":"Now I have a comprehensive understanding of the anti-entropy implementation. Let me provide a concise summary of the architecture and what step 2 (diff) needs to integrate with.\n\n## Anti-Entropy Architecture Summary\n\n### 1. Current State of anti_entropy.rs\n\nThe `/home/coding/miroir/crates/miroir-core/src/anti_entropy.rs` file implements a complete fingerprint → diff → repair pipeline:\n\n**Key Functions:**\n- `fingerprint_shard()` (lines 211-301): Step 1 - Computes per-replica digests\n- `diff_fingerprints()` (lines 307-335): Step 2 - Identifies divergent buckets \n- `fetch_bucket_pks()` (lines 341-392): Step 2 - Fetches PKs for a specific bucket\n- `compare_bucket_replicas()` (lines 400-447): Step 2 - Compares replicas within a bucket\n- `repair_shard()` (lines 609-696): Step 3 - Orchestrates repair (partially implemented)\n\n**Fingerprint Mechanism (Step 1):**\n- Iterates documents with `filter=_miroir_shard={id}` in batches\n- Computes `hash(primary_key || content_hash)` per document\n- Folds into shard-level xxh3 digest seeded by shard_id\n- **Also computes per-bucket hashes** (lines 224-226, 270-271) for granular diff\n\n### 2. PK Representation and Hashing\n\n**PK Storage:**\n- Documents are `serde_json::Value` objects\n- PK is extracted from `doc[\"id\"]` or `doc[\"_id\"]` (lines 250-254)\n- PKs are stored as strings\n\n**PK Hashing:**\n- `bucket_for_primary_key()` (lines 171-175): `XxHash64::with_seed(0).hash(pk) % 256`\n- `compute_content_hash()` (lines 181-204): Canonicalizes document (strips `_miroir_*`, `_rankingScore`), sorts keys, hashes with xxh3\n\n### 3. Bucketing Patterns\n\n**Constants:**\n- `BUCKET_COUNT = 256` (line 36)\n- Each bucket isolates divergence to ~0.4% of PK space\n\n**Bucket Assignment:**\n```rust\npub fn bucket_for_primary_key(primary_key: &str) -> usize {\n let mut hasher = XxHash64::with_seed(0);\n hasher.write(primary_key.as_bytes());\n (hasher.finish() as usize) % BUCKET_COUNT\n}\n```\n\nThis is reused by reshard verify with PK-keyed bucketing (line 170 comment).\n\n### 4. Diff Step Integration Points\n\n**Data Structures:**\n- `ShardFingerprint` (lines 67-79): Contains `bucket_hashes: Vec` (256 hashes)\n- `ReplicaDiff` (lines 82-92): Returns `a_only_pks`, `b_only_pks`, `mismatched_pks`\n- `RepairAction` (lines 95-107): Defines repair structure with `RepairReason` enum\n\n**Integration Flow:**\n1. `diff_fingerprints()` compares `bucket_hashes` arrays to find divergent bucket IDs\n2. For each divergent bucket, `compare_bucket_replicas()` is called\n3. `compare_bucket_replicas()` calls `fetch_bucket_pks()` for both replicas\n4. Returns `ReplicaDiff` with categorized PK differences\n5. `repair_shard()` logs differences (lines 675-683) but actual repair writes are TODO\n\n**Test Coverage:**\n- `/home/coding/miroir/crates/miroir-proxy/tests/p5_8_a_anti_entropy_fingerprint.rs`: Fingerprint step tests\n- `/home/coding/miroir/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs`: Diff step tests (bucket_for_primary_key, diff_fingerprints, fetch_bucket_pks, compare_bucket_replicas)\n\n**CDC Integration:**\n- Repair writes should use `origin: Some(ORIGIN_ANTIENTROPY.to_string())` (line 15)\n- This suppresses CDC events unless `emit_internal_writes` is true (line 9 comment)\n\nThe architecture is well-structured with clear separation between fingerprinting, diffing, and repair phases. 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P5.8.b: Anti-entropy diff step integration tests.\n2\t//!\n3\t//! Tests the diff step (plan §13.8 step 2):\n4\t//! - Per-bucket (pk-hash % 256) digest computation\n5\t//! - Divergent bucket identification\n6\t//! - Divergent primary key enumeration within buckets\n7\t//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n8\t\n9\tuse miroir_core::anti_entropy::{\n10\t AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n11\t};\n12\tuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\n13\tuse miroir_core::topology::{Node, NodeId, Topology};\n14\tuse serde_json::json;\n15\tuse std::collections::HashMap;\n16\tuse std::sync::Arc;\n17\tuse tokio::sync::RwLock;\n18\t\n19\tmockall::mock! {\n20\t pub TestNodeClient {}\n21\t impl NodeClient for TestNodeClient {\n22\t async fn search_node(\n23\t &self,\n24\t node: &NodeId,\n25\t address: &str,\n26\t request: &miroir_core::scatter::SearchRequest,\n27\t ) -> std::result::Result;\n28\t\n29\t async fn preflight_node(\n30\t &self,\n31\t node: &NodeId,\n32\t address: &str,\n33\t request: &miroir_core::scatter::PreflightRequest,\n34\t ) -> std::result::Result;\n35\t\n36\t async fn write_documents(\n37\t &self,\n38\t node: &NodeId,\n39\t address: &str,\n40\t request: &miroir_core::scatter::WriteRequest,\n41\t ) -> std::result::Result;\n42\t\n43\t async fn delete_documents(\n44\t &self,\n45\t node: &NodeId,\n46\t address: &str,\n47\t request: &miroir_core::scatter::DeleteByIdsRequest,\n48\t ) -> std::result::Result;\n49\t\n50\t async fn delete_documents_by_filter(\n51\t &self,\n52\t node: &NodeId,\n53\t address: &str,\n54\t request: &miroir_core::scatter::DeleteByFilterRequest,\n55\t ) -> std::result::Result;\n56\t\n57\t async fn fetch_documents(\n58\t &self,\n59\t node: &NodeId,\n60\t address: &str,\n61\t request: &FetchDocumentsRequest,\n62\t ) -> std::result::Result;\n63\t }\n64\t}\n65\t\n66\t#[tokio::test]\n67\tasync fn test_bucket_for_primary_key_deterministic() {\n68\t // Test that bucket assignment is deterministic\n69\t let pk = \"test-primary-key-123\";\n70\t let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n71\t let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n72\t\n73\t assert_eq!(bucket1, bucket2, \"bucket assignment should be deterministic\");\n74\t assert!(bucket1 < BUCKET_COUNT, \"bucket ID should be in range\");\n75\t}\n76\t\n77\t#[tokio::test]\n78\tasync fn test_bucket_for_primary_key_distributes() {\n79\t // Test that different keys distribute across buckets\n80\t let mut buckets = std::collections::HashSet::new();\n81\t\n82\t for i in 0..1000 {\n83\t let pk = format!(\"key-{}\", i);\n84\t let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);\n85\t buckets.insert(bucket);\n86\t }\n87\t\n88\t // With 1000 keys and 256 buckets, we should hit many buckets\n89\t // (statistically, almost all of them)\n90\t assert!(buckets.len() > 200, \"keys should distribute across many buckets\");\n91\t}\n92\t\n93\t#[tokio::test]\n94\tasync fn test_fingerprint_shard_includes_bucket_hashes() {\n95\t // Test that fingerprinting now computes per-bucket hashes\n96\t let doc1 = json!({\n97\t \"id\": \"doc-1\",\n98\t \"title\": \"First\",\n99\t \"_miroir_shard\": 0,\n100\t });\n101\t\n102\t let doc2 = json!({\n103\t \"id\": \"doc-2\",\n104\t \"title\": \"Second\",\n105\t \"_miroir_shard\": 0,\n106\t });\n107\t\n108\t let mut mock_client = MockTestNodeClient::new();\n109\t mock_client.expect_fetch_documents().returning({\n110\t let mut call_count = 0;\n111\t move |_, _, req| {\n112\t let docs = match call_count {\n113\t 0 => vec![doc1.clone(), doc2.clone()],\n114\t _ => vec![],\n115\t };\n116\t call_count += 1;\n117\t\n118\t Ok(FetchDocumentsResponse {\n119\t results: docs,\n120\t limit: req.limit,\n121\t offset: req.offset,\n122\t total: 2,\n123\t })\n124\t }\n125\t });\n126\t\n127\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n128\t let reconciler = AntiEntropyReconciler::new(\n129\t AntiEntropyConfig::default(),\n130\t topology,\n131\t Arc::new(mock_client),\n132\t );\n133\t\n134\t let node_id = NodeId::new(\"node-1\".to_string());\n135\t let result = reconciler\n136\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n137\t .await\n138\t .unwrap();\n139\t\n140\t assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT);\n141\t // Each bucket hash should be a valid xxh3 hash string\n142\t for bucket_hash in &result.bucket_hashes {\n143\t assert!(bucket_hash.starts_with(\"xxh3:\"));\n144\t }\n145\t}\n146\t\n147\t#[tokio::test]\n148\tasync fn test_diff_fingerprints_identical() {\n149\t // Test diff with identical fingerprints (no divergence)\n150\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n151\t let reconciler = AntiEntropyReconciler::::new(\n152\t AntiEntropyConfig::default(),\n153\t topology,\n154\t Arc::new(MockTestNodeClient::new()),\n155\t );\n156\t\n157\t let fp = ShardFingerprint {\n158\t shard_id: 0,\n159\t node_id: \"node-1\".to_string(),\n160\t merkle_root: \"xxh3:123\".to_string(),\n161\t document_count: 100,\n162\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n163\t };\n164\t\n165\t let divergent = reconciler.diff_fingerprints(&fp, &fp);\n166\t assert!(divergent.is_empty(), \"identical fingerprints should have no divergence\");\n167\t}\n168\t\n169\t#[tokio::test]\n170\tasync fn test_diff_fingerprints_divergent_buckets() {\n171\t // Test diff with divergent buckets\n172\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n173\t let reconciler = AntiEntropyReconciler::::new(\n174\t AntiEntropyConfig::default(),\n175\t topology,\n176\t Arc::new(MockTestNodeClient::new()),\n177\t );\n178\t\n179\t let mut fp_a = ShardFingerprint {\n180\t shard_id: 0,\n181\t node_id: \"node-a\".to_string(),\n182\t merkle_root: \"xxh3:123\".to_string(),\n183\t document_count: 100,\n184\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n185\t };\n186\t\n187\t let mut fp_b = ShardFingerprint {\n188\t shard_id: 0,\n189\t node_id: \"node-b\".to_string(),\n190\t merkle_root: \"xxh3:456\".to_string(),\n191\t document_count: 100,\n192\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n193\t };\n194\t\n195\t // Make buckets 5, 10, 15 divergent\n196\t fp_b.bucket_hashes[5] = \"xxh3:different\".to_string();\n197\t fp_b.bucket_hashes[10] = \"xxh3:different\".to_string();\n198\t fp_b.bucket_hashes[15] = \"xxh3:different\".to_string();\n199\t\n200\t let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n201\t\n202\t assert_eq!(divergent.len(), 3);\n203\t assert!(divergent.contains(&5));\n204\t assert!(divergent.contains(&10));\n205\t assert!(divergent.contains(&15));\n206\t}\n207\t\n208\t#[tokio::test]\n209\tasync fn test_fetch_bucket_pks_filters_by_bucket() {\n210\t // Test that fetch_bucket_pks only returns PKs in the target bucket\n211\t let doc1 = json!({ \"id\": \"key-1\", \"title\": \"Doc 1\", \"_miroir_shard\": 0 });\n212\t let doc2 = json!({ \"id\": \"key-2\", \"title\": \"Doc 2\", \"_miroir_shard\": 0 });\n213\t let doc3 = json!({ \"id\": \"key-3\", \"title\": \"Doc 3\", \"_miroir_shard\": 0 });\n214\t\n215\t // Determine which bucket each key belongs to\n216\t let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n217\t let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");\n218\t let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");\n219\t\n220\t let mut mock_client = MockTestNodeClient::new();\n221\t mock_client.expect_fetch_documents().returning({\n222\t let mut call_count = 0;\n223\t move |_, _, req| {\n224\t let docs = match call_count {\n225\t 0 => vec![doc1.clone(), doc2.clone(), doc3.clone()],\n226\t _ => vec![],\n227\t };\n228\t call_count += 1;\n229\t\n230\t Ok(FetchDocumentsResponse {\n231\t results: docs,\n232\t limit: req.limit,\n233\t offset: req.offset,\n234\t total: 3,\n235\t })\n236\t }\n237\t });\n238\t\n239\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n240\t let reconciler = AntiEntropyReconciler::new(\n241\t AntiEntropyConfig::default(),\n242\t topology,\n243\t Arc::new(mock_client),\n244\t );\n245\t\n246\t let node_id = NodeId::new(\"node-1\".to_string());\n247\t\n248\t // Fetch PKs for bucket_1 - should only contain key-1\n249\t let result = reconciler\n250\t .fetch_bucket_pks(&node_id, 0, bucket_1, \"test_index\", \"http://localhost\")\n251\t .await\n252\t .unwrap();\n253\t\n254\t assert_eq!(result.len(), 1);\n255\t assert!(result.contains_key(\"key-1\"));\n256\t assert!(!result.contains_key(\"key-2\"));\n257\t assert!(!result.contains_key(\"key-3\"));\n258\t}\n259\t\n260\t#[tokio::test]\n261\tasync fn test_compare_bucket_replicas_no_divergence() {\n262\t // Test comparing identical buckets\n263\t let doc = json!({ \"id\": \"key-1\", \"title\": \"Same\", \"_miroir_shard\": 0 });\n264\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n265\t\n266\t let mut mock_client = MockTestNodeClient::new();\n267\t mock_client.expect_fetch_documents().returning({\n268\t let mut call_count = 0;\n269\t move |_, _, req| {\n270\t let docs = if call_count < 2 { vec![doc.clone()] } else { vec![] };\n271\t call_count += 1;\n272\t\n273\t Ok(FetchDocumentsResponse {\n274\t results: docs,\n275\t limit: req.limit,\n276\t offset: req.offset,\n277\t total: 1,\n278\t })\n279\t }\n280\t });\n281\t\n282\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n283\t let reconciler = AntiEntropyReconciler::new(\n284\t AntiEntropyConfig::default(),\n285\t topology,\n286\t Arc::new(mock_client),\n287\t );\n288\t\n289\t let node_a = NodeId::new(\"node-a\".to_string());\n290\t let node_b = NodeId::new(\"node-b\".to_string());\n291\t\n292\t let diff = reconciler\n293\t .compare_bucket_replicas(\n294\t 0,\n295\t bucket_id,\n296\t &node_a,\n297\t \"http://localhost\",\n298\t &node_b,\n299\t \"http://localhost\",\n300\t \"test_index\",\n301\t )\n302\t .await\n303\t .unwrap();\n304\t\n305\t assert_eq!(diff.shard_id, 0);\n306\t assert!(diff.a_only_pks.is_empty());\n307\t assert!(diff.b_only_pks.is_empty());\n308\t assert!(diff.mismatched_pks.is_empty());\n309\t}\n310\t\n311\t#[tokio::test]\n312\tasync fn test_compare_bucket_replicas_a_only() {\n313\t // Test PK only exists on replica A\n314\t let doc_a = json!({ \"id\": \"key-only-a\", \"title\": \"Only A\", \"_miroir_shard\": 0 });\n315\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");\n316\t\n317\t let mut mock_client = MockTestNodeClient::new();\n318\t mock_client.expect_fetch_documents().returning({\n319\t let mut call_count = 0;\n320\t move |_, _, req| {\n321\t // Node A has the doc, node B doesn't\n322\t let has_doc = call_count == 0;\n323\t let docs = if has_doc { vec![doc_a.clone()] } else { vec![] };\n324\t call_count += 1;\n325\t\n326\t Ok(FetchDocumentsResponse {\n327\t results: docs,\n328\t limit: req.limit,\n329\t offset: req.offset,\n330\t total: if has_doc { 1 } else { 0 },\n331\t })\n332\t }\n333\t });\n334\t\n335\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n336\t let reconciler = AntiEntropyReconciler::new(\n337\t AntiEntropyConfig::default(),\n338\t topology,\n339\t Arc::new(mock_client),\n340\t );\n341\t\n342\t let node_a = NodeId::new(\"node-a\".to_string());\n343\t let node_b = NodeId::new(\"node-b\".to_string());\n344\t\n345\t let diff = reconciler\n346\t .compare_bucket_replicas(\n347\t 0,\n348\t bucket_id,\n349\t &node_a,\n350\t \"http://localhost\",\n351\t &node_b,\n352\t \"http://localhost\",\n353\t \"test_index\",\n354\t )\n355\t .await\n356\t .unwrap();\n357\t\n358\t assert_eq!(diff.a_only_pks.len(), 1);\n359\t assert_eq!(diff.a_only_pks[0], \"key-only-a\");\n360\t assert!(diff.b_only_pks.is_empty());\n361\t assert!(diff.mismatched_pks.is_empty());\n362\t}\n363\t\n364\t#[tokio::test]\n365\tasync fn test_compare_bucket_replicas_b_only() {\n366\t // Test PK only exists on replica B\n367\t let doc_b = json!({ \"id\": \"key-only-b\", \"title\": \"Only B\", \"_miroir_shard\": 0 });\n368\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");\n369\t\n370\t let mut mock_client = MockTestNodeClient::new();\n371\t mock_client.expect_fetch_documents().returning({\n372\t let mut call_count = 0;\n373\t move |_, _, req| {\n374\t // Node B has the doc, node A doesn't\n375\t let has_doc = call_count == 1;\n376\t let docs = if has_doc { vec![doc_b.clone()] } else { vec![] };\n377\t call_count += 1;\n378\t\n379\t Ok(FetchDocumentsResponse {\n380\t results: docs,\n381\t limit: req.limit,\n382\t offset: req.offset,\n383\t total: if has_doc { 1 } else { 0 },\n384\t })\n385\t }\n386\t });\n387\t\n388\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n389\t let reconciler = AntiEntropyReconciler::new(\n390\t AntiEntropyConfig::default(),\n391\t topology,\n392\t Arc::new(mock_client),\n393\t );\n394\t\n395\t let node_a = NodeId::new(\"node-a\".to_string());\n396\t let node_b = NodeId::new(\"node-b\".to_string());\n397\t\n398\t let diff = reconciler\n399\t .compare_bucket_replicas(\n400\t 0,\n401\t bucket_id,\n402\t &node_a,\n403\t \"http://localhost\",\n404\t &node_b,\n405\t \"http://localhost\",\n406\t \"test_index\",\n407\t )\n408\t .await\n409\t .unwrap();\n410\t\n411\t assert!(diff.a_only_pks.is_empty());\n412\t assert_eq!(diff.b_only_pks.len(), 1);\n413\t assert_eq!(diff.b_only_pks[0], \"key-only-b\");\n414\t assert!(diff.mismatched_pks.is_empty());\n415\t}\n416\t\n417\t#[tokio::test]\n418\tasync fn test_compare_bucket_replicas_mismatched_content() {\n419\t // Test same PK but different content (different content hash)\n420\t let doc_a = json!({ \"id\": \"key-mismatch\", \"title\": \"Version A\", \"_miroir_shard\": 0 });\n421\t let doc_b = json!({ \"id\": \"key-mismatch\", \"title\": \"Version B\", \"_miroir_shard\": 0 });\n422\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");\n423\t\n424\t let mut mock_client = MockTestNodeClient::new();\n425\t mock_client.expect_fetch_documents().returning({\n426\t let mut call_count = 0;\n427\t move |_, _, req| {\n428\t let docs = match call_count {\n429\t 0 => vec![doc_a.clone()],\n430\t 1 => vec![doc_b.clone()],\n431\t _ => vec![],\n432\t };\n433\t call_count += 1;\n434\t\n435\t Ok(FetchDocumentsResponse {\n436\t results: docs,\n437\t limit: req.limit,\n438\t offset: req.offset,\n439\t total: 1,\n440\t })\n441\t }\n442\t });\n443\t\n444\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n445\t let reconciler = AntiEntropyReconciler::new(\n446\t AntiEntropyConfig::default(),\n447\t topology,\n448\t Arc::new(mock_client),\n449\t );\n450\t\n451\t let node_a = NodeId::new(\"node-a\".to_string());\n452\t let node_b = NodeId::new(\"node-b\".to_string());\n453\t\n454\t let diff = reconciler\n455\t .compare_bucket_replicas(\n456\t 0,\n457\t bucket_id,\n458\t &node_a,\n459\t \"http://localhost\",\n460\t &node_b,\n461\t \"http://localhost\",\n462\t \"test_index\",\n463\t )\n464\t .await\n465\t .unwrap();\n466\t\n467\t assert!(diff.a_only_pks.is_empty());\n468\t assert!(diff.b_only_pks.is_empty());\n469\t assert_eq!(diff.mismatched_pks.len(), 1);\n470\t assert_eq!(diff.mismatched_pks[0], \"key-mismatch\");\n471\t}\n472\t\n473\t#[tokio::test]\n474\tasync fn test_diff_fingerprints_isolates_divergence() {\n475\t // Test that divergent buckets isolate to ~0.4% of PK space\n476\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n477\t let reconciler = AntiEntropyReconciler::::new(\n478\t AntiEntropyConfig::default(),\n479\t topology,\n480\t Arc::new(MockTestNodeClient::new()),\n481\t );\n482\t\n483\t // Create a fingerprint with 100 divergent buckets\n484\t let mut fp_a = ShardFingerprint {\n485\t shard_id: 0,\n486\t node_id: \"node-a\".to_string(),\n487\t merkle_root: \"xxh3:123\".to_string(),\n488\t document_count: 10000,\n489\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n490\t };\n491\t\n492\t let mut fp_b = ShardFingerprint {\n493\t shard_id: 0,\n494\t node_id: \"node-b\".to_string(),\n495\t merkle_root: \"xxh3:456\".to_string(),\n496\t document_count: 10000,\n497\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n498\t };\n499\t\n500\t // Make 100 buckets divergent\n501\t for i in 0..100 {\n502\t fp_b.bucket_hashes[i] = format!(\"xxh3:divergent-{}\", i);\n503\t }\n504\t\n505\t let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n506\t\n507\t assert_eq!(divergent.len(), 100);\n508\t\n509\t // Each divergent bucket represents ~1/256 (≈0.4%) of PK space\n510\t // 100 buckets ≈ 39% of total PK space\n511\t let isolation_ratio = divergent.len() as f64 / BUCKET_COUNT as f64;\n512\t assert!((isolation_ratio - (100.0 / 256.0)).abs() < 0.01);\n513\t}\n514\t\n515\t#[tokio::test]\n516\tasync fn test_bucket_count_constant() {\n517\t // Verify BUCKET_COUNT is 256 as specified in the plan\n518\t assert_eq!(BUCKET_COUNT, 256);\n519\t}\n520\t"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"c67461dd-80e8-4597-a086-ada0b0e77788","timestamp":"2026-05-23T12:42:28.169Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/miroir/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs","content":"//! P5.8.b: Anti-entropy diff step integration tests.\n//!\n//! Tests the diff step (plan §13.8 step 2):\n//! - Per-bucket (pk-hash % 256) digest computation\n//! - Divergent bucket identification\n//! - Divergent primary key enumeration within buckets\n//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n\nuse miroir_core::anti_entropy::{\n AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n};\nuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\nuse miroir_core::topology::{Node, NodeId, Topology};\nuse serde_json::json;\nuse std::collections::HashMap;\nuse std::sync::Arc;\nuse tokio::sync::RwLock;\n\nmockall::mock! {\n pub TestNodeClient {}\n impl NodeClient for TestNodeClient {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::SearchRequest,\n ) -> std::result::Result;\n\n async fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result;\n\n async fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::WriteRequest,\n ) -> std::result::Result;\n\n async fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::DeleteByIdsRequest,\n ) -> std::result::Result;\n\n async fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::DeleteByFilterRequest,\n ) -> std::result::Result;\n\n async fn fetch_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &FetchDocumentsRequest,\n ) -> std::result::Result;\n }\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_deterministic() {\n // Test that bucket assignment is deterministic\n let pk = \"test-primary-key-123\";\n let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n\n assert_eq!(bucket1, bucket2, \"bucket assignment should be deterministic\");\n assert!(bucket1 < BUCKET_COUNT, \"bucket ID should be in range\");\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_distributes() {\n // Test that different keys distribute across buckets\n let mut buckets = std::collections::HashSet::new();\n\n for i in 0..1000 {\n let pk = format!(\"key-{}\", i);\n let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);\n buckets.insert(bucket);\n }\n\n // With 1000 keys and 256 buckets, we should hit many buckets\n // (statistically, almost all of them)\n assert!(buckets.len() > 200, \"keys should distribute across many buckets\");\n}\n\n#[tokio::test]\nasync fn test_fingerprint_shard_includes_bucket_hashes() {\n // Test that fingerprinting now computes per-bucket hashes\n let doc1 = json!({\n \"id\": \"doc-1\",\n \"title\": \"First\",\n \"_miroir_shard\": 0,\n });\n\n let doc2 = json!({\n \"id\": \"doc-2\",\n \"title\": \"Second\",\n \"_miroir_shard\": 0,\n });\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = match call_count {\n 0 => vec![doc1.clone(), doc2.clone()],\n _ => vec![],\n };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 2,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_id = NodeId::new(\"node-1\".to_string());\n let result = reconciler\n .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT);\n // Each bucket hash should be a valid xxh3 hash string\n for bucket_hash in &result.bucket_hashes {\n assert!(bucket_hash.starts_with(\"xxh3:\"));\n }\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_identical() {\n // Test diff with identical fingerprints (no divergence)\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(MockTestNodeClient::new()),\n );\n\n let fp = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-1\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let divergent = reconciler.diff_fingerprints(&fp, &fp);\n assert!(divergent.is_empty(), \"identical fingerprints should have no divergence\");\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_divergent_buckets() {\n // Test diff with divergent buckets\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(MockTestNodeClient::new()),\n );\n\n let mut fp_a = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-a\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let mut fp_b = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-b\".to_string(),\n merkle_root: \"xxh3:456\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n // Make buckets 5, 10, 15 divergent\n fp_b.bucket_hashes[5] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[10] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[15] = \"xxh3:different\".to_string();\n\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n\n assert_eq!(divergent.len(), 3);\n assert!(divergent.contains(&5));\n assert!(divergent.contains(&10));\n assert!(divergent.contains(&15));\n}\n\n#[tokio::test]\nasync fn test_fetch_bucket_pks_filters_by_bucket() {\n // Test that fetch_bucket_pks only returns PKs in the target bucket\n let doc1 = json!({ \"id\": \"key-1\", \"title\": \"Doc 1\", \"_miroir_shard\": 0 });\n let doc2 = json!({ \"id\": \"key-2\", \"title\": \"Doc 2\", \"_miroir_shard\": 0 });\n let doc3 = json!({ \"id\": \"key-3\", \"title\": \"Doc 3\", \"_miroir_shard\": 0 });\n\n // Determine which bucket each key belongs to\n let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");\n let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = match call_count {\n 0 => vec![doc1.clone(), doc2.clone(), doc3.clone()],\n _ => vec![],\n };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 3,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_id = NodeId::new(\"node-1\".to_string());\n\n // Fetch PKs for bucket_1 - should only contain key-1\n let result = reconciler\n .fetch_bucket_pks(&node_id, 0, bucket_1, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.len(), 1);\n assert!(result.contains_key(\"key-1\"));\n assert!(!result.contains_key(\"key-2\"));\n assert!(!result.contains_key(\"key-3\"));\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_no_divergence() {\n // Test comparing identical buckets\n let doc = json!({ \"id\": \"key-1\", \"title\": \"Same\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = if call_count < 2 { vec![doc.clone()] } else { vec![] };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 1,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.shard_id, 0);\n assert!(diff.a_only_pks.is_empty());\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_a_only() {\n // Test PK only exists on replica A\n let doc_a = json!({ \"id\": \"key-only-a\", \"title\": \"Only A\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n // Node A has the doc, node B doesn't\n let has_doc = call_count == 0;\n let docs = if has_doc { vec![doc_a.clone()] } else { vec![] };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: if has_doc { 1 } else { 0 },\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.a_only_pks.len(), 1);\n assert_eq!(diff.a_only_pks[0], \"key-only-a\");\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_b_only() {\n // Test PK only exists on replica B\n let doc_b = json!({ \"id\": \"key-only-b\", \"title\": \"Only B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n // Node B has the doc, node A doesn't\n let has_doc = call_count == 1;\n let docs = if has_doc { vec![doc_b.clone()] } else { vec![] };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: if has_doc { 1 } else { 0 },\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n assert_eq!(diff.b_only_pks.len(), 1);\n assert_eq!(diff.b_only_pks[0], \"key-only-b\");\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_mismatched_content() {\n // Test same PK but different content (different content hash)\n let doc_a = json!({ \"id\": \"key-mismatch\", \"title\": \"Version A\", \"_miroir_shard\": 0 });\n let doc_b = json!({ \"id\": \"key-mismatch\", \"title\": \"Version B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = match call_count {\n 0 => vec![doc_a.clone()],\n 1 => vec![doc_b.clone()],\n _ => vec![],\n };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 1,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n assert!(diff.b_only_pks.is_empty());\n assert_eq!(diff.mismatched_pks.len(), 1);\n assert_eq!(diff.mismatched_pks[0], \"key-mismatch\");\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_isolates_divergence() {\n // Test that divergent buckets isolate to ~0.4% of PK space\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(MockTestNodeClient::new()),\n );\n\n // Create a fingerprint with 100 divergent buckets\n let mut fp_a = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-a\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 10000,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n };\n\n let mut fp_b = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-b\".to_string(),\n merkle_root: \"xxh3:456\".to_string(),\n document_count: 10000,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n };\n\n // Make 100 buckets divergent\n for i in 0..100 {\n fp_b.bucket_hashes[i] = format!(\"xxh3:divergent-{}\", i);\n }\n\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n\n assert_eq!(divergent.len(), 100);\n\n // Each divergent bucket represents ~1/256 (≈0.4%) of PK space\n // 100 buckets ≈ 39% of total PK space\n let isolation_ratio = divergent.len() as f64 / BUCKET_COUNT as f64;\n assert!((isolation_ratio - (100.0 / 256.0)).abs() < 0.01);\n}\n\n#[tokio::test]\nasync fn test_bucket_count_constant() {\n // Verify BUCKET_COUNT is 256 as specified in the plan\n assert_eq!(BUCKET_COUNT, 256);\n}\n","numLines":520,"startLine":1,"totalLines":520}}} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_4e1a093c87544970966a60d9","type":"tool_result","content":"1\t//! Anti-entropy reconciler module (plan §13.8).\n2\t//!\n3\t//! Detects and repairs replica drift using the fingerprint → diff → repair pipeline.\n4\t//! Resolves Open Problem #1 (dual-write safety) by continuously reconciling\n5\t//! replicas and catching any missed writes.\n6\t//!\n7\t//! # CDC Origin Tag (plan §13.13)\n8\t//!\n9\t//! Repair writes must be tagged with `origin=\"antientropy\"` so they are suppressed\n10\t//! from CDC by default (unless `emit_internal_writes` is true).\n11\t//!\n12\t//! When constructing `WriteRequest` for repair writes, set:\n13\t//! ```ignore\n14\t//! use miroir_core::cdc::ORIGIN_ANTIENTROPY;\n15\t//! WriteRequest { ..., origin: Some(ORIGIN_ANTIENTROPY.to_string()) }\n16\t//! ```\n17\t\n18\tuse crate::error::{MiroirError, Result};\n19\tuse crate::migration::{MigrationConfig, MigrationError};\n20\tuse crate::router::assign_shard_in_group;\n21\tuse crate::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient};\n22\tuse crate::topology::{NodeId, Topology};\n23\tuse serde::{Deserialize, Serialize};\n24\tuse serde_json::{json, Value};\n25\tuse std::collections::{BTreeMap, HashMap};\n26\tuse std::hash::Hasher;\n27\tuse std::sync::Arc;\n28\tuse std::time::{SystemTime, UNIX_EPOCH};\n29\tuse tokio::sync::RwLock;\n30\tuse tracing::{debug, error, info, warn};\n31\tuse twox_hash::XxHash64;\n32\t\n33\t/// Number of buckets for granular diff (plan §13.8 step 2).\n34\t///\n35\t/// Each bucket isolates divergence to ~1/256 (≈0.4%) of the PK space.\n36\tpub const BUCKET_COUNT: usize = 256;\n37\t\n38\t/// Anti-entropy configuration (plan §13.8).\n39\t#[derive(Debug, Clone, Serialize, Deserialize)]\n40\tpub struct AntiEntropyConfig {\n41\t pub enabled: bool,\n42\t pub schedule: String,\n43\t pub index_uid: String,\n44\t pub shards_per_pass: u32,\n45\t pub max_read_concurrency: u32,\n46\t pub fingerprint_batch_size: u32,\n47\t pub auto_repair: bool,\n48\t pub updated_at_field: String,\n49\t}\n50\t\n51\timpl Default for AntiEntropyConfig {\n52\t fn default() -> Self {\n53\t Self {\n54\t enabled: true,\n55\t schedule: \"every 6h\".to_string(),\n56\t index_uid: \"default\".to_string(),\n57\t shards_per_pass: 0,\n58\t max_read_concurrency: 2,\n59\t fingerprint_batch_size: 1000,\n60\t auto_repair: true,\n61\t updated_at_field: \"_miroir_updated_at\".to_string(),\n62\t }\n63\t }\n64\t}\n65\t\n66\t/// Shard fingerprint for comparison.\n67\t#[derive(Debug, Clone, Serialize, Deserialize)]\n68\tpub struct ShardFingerprint {\n69\t /// Shard ID.\n70\t pub shard_id: u32,\n71\t /// Node ID.\n72\t pub node_id: String,\n73\t /// Merkle root of document hashes.\n74\t pub merkle_root: String,\n75\t /// Document count.\n76\t pub document_count: u64,\n77\t /// Per-bucket hashes for detailed diff.\n78\t pub bucket_hashes: Vec,\n79\t}\n80\t\n81\t/// Replica diff result.\n82\t#[derive(Debug, Clone, Serialize, Deserialize)]\n83\tpub struct ReplicaDiff {\n84\t /// Shard ID.\n85\t pub shard_id: u32,\n86\t /// Primary keys only in replica A.\n87\t pub a_only_pks: Vec,\n88\t /// Primary keys only in replica B.\n89\t pub b_only_pks: Vec,\n90\t /// Primary keys with content hash mismatch.\n91\t pub mismatched_pks: Vec,\n92\t}\n93\t\n94\t/// Repair action.\n95\t#[derive(Debug, Clone, Serialize, Deserialize)]\n96\tpub struct RepairAction {\n97\t /// Shard ID.\n98\t pub shard_id: u32,\n99\t /// Primary key to repair.\n100\t pub primary_key: String,\n101\t /// Authoritative version (document JSON).\n102\t pub authoritative_doc: serde_json::Value,\n103\t /// Target nodes that need repair.\n104\t pub target_nodes: Vec,\n105\t /// Reason for repair.\n106\t pub reason: RepairReason,\n107\t}\n108\t\n109\t/// Why a repair is needed.\n110\t#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]\n111\tpub enum RepairReason {\n112\t /// Document missing on replica.\n113\t Missing,\n114\t /// Content hash mismatch.\n115\t Mismatch,\n116\t /// Expired document resurrection (TTL interaction).\n117\t ExpiredResurrection,\n118\t}\n119\t\n120\t/// Reconciler pass result.\n121\t#[derive(Debug, Clone, Serialize, Deserialize)]\n122\tpub struct ReconcilerPass {\n123\t /// Pass started at (UNIX ms).\n124\t pub started_at: u64,\n125\t /// Pass completed at (UNIX ms).\n126\t pub completed_at: u64,\n127\t /// Shards scanned.\n128\t pub shards_scanned: u32,\n129\t /// Shards with drift detected.\n130\t pub shards_with_drift: u32,\n131\t /// Repairs performed.\n132\t pub repairs_performed: u32,\n133\t /// Errors encountered.\n134\t pub errors: Vec,\n135\t}\n136\t\n137\t/// Anti-entropy reconciler.\n138\tpub struct AntiEntropyReconciler {\n139\t /// Configuration.\n140\t config: AntiEntropyConfig,\n141\t /// Shared topology.\n142\t topology: Arc>,\n143\t /// Pass history.\n144\t pass_history: Arc>>,\n145\t /// Currently running pass.\n146\t current_pass: Arc>>,\n147\t /// HTTP client for node communication.\n148\t node_client: Arc,\n149\t}\n150\t\n151\timpl AntiEntropyReconciler {\n152\t /// Create a new anti-entropy reconciler.\n153\t pub fn new(\n154\t config: AntiEntropyConfig,\n155\t topology: Arc>,\n156\t node_client: Arc,\n157\t ) -> Self {\n158\t Self {\n159\t config,\n160\t topology,\n161\t pass_history: Arc::new(RwLock::new(Vec::new())),\n162\t current_pass: Arc::new(RwLock::new(None)),\n163\t node_client,\n164\t }\n165\t }\n166\t\n167\t /// Compute bucket ID for a primary key (plan §13.8 step 2).\n168\t ///\n169\t /// Uses pk-hash modulo BUCKET_COUNT to isolate divergence to ~0.4% of PK space.\n170\t /// This is reused by §13.1 reshard verify with PK-keyed bucketing.\n171\t pub fn bucket_for_primary_key(primary_key: &str) -> usize {\n172\t let mut hasher = XxHash64::with_seed(0);\n173\t hasher.write(primary_key.as_bytes());\n174\t (hasher.finish() as usize) % BUCKET_COUNT\n175\t }\n176\t\n177\t /// Compute the canonical content hash of a document.\n178\t ///\n179\t /// The canonical form excludes internal Miroir fields (_miroir_*, _rankingScore)\n180\t /// and serializes with sorted keys for deterministic hashing.\n181\t pub fn compute_content_hash(document: &Value) -> u64 {\n182\t // Remove internal fields to get canonical content\n183\t let mut canonical = document.clone();\n184\t if let Some(obj) = canonical.as_object_mut() {\n185\t // Remove all _miroir_* fields\n186\t obj.retain(|k, _| !k.starts_with(\"_miroir_\"));\n187\t // Remove _rankingScore (not content, used for scoring)\n188\t obj.remove(\"_rankingScore\");\n189\t }\n190\t\n191\t // Serialize with sorted keys for deterministic output\n192\t let canonical_json = if let Some(obj) = canonical.as_object() {\n193\t // Use BTreeMap to sort keys\n194\t let sorted: BTreeMap<_, _> = obj.iter().collect();\n195\t serde_json::to_string(&sorted).unwrap_or_else(|_| \"{}\".to_string())\n196\t } else {\n197\t serde_json::to_string(&canonical).unwrap_or_else(|_| \"{}\".to_string())\n198\t };\n199\t\n200\t // Hash using xxh3 (xxhash family, same as router)\n201\t let mut hasher = XxHash64::with_seed(0);\n202\t hasher.write(canonical_json.as_bytes());\n203\t hasher.finish()\n204\t }\n205\t\n206\t /// Fingerprint a single shard on a node (plan §13.8 step 1).\n207\t ///\n208\t /// Iterates all documents with filter=_miroir_shard={id}, computes\n209\t /// hash(primary_key || content_hash) for each, and folds into a\n210\t /// streaming xxh3 digest. Also computes per-bucket hashes for diff.\n211\t pub async fn fingerprint_shard(\n212\t &self,\n213\t node_id: &NodeId,\n214\t shard_id: u32,\n215\t index_uid: &str,\n216\t address: &str,\n217\t ) -> Result {\n218\t let batch_size = self.config.fingerprint_batch_size as usize;\n219\t let mut offset = 0u32;\n220\t let mut document_count = 0u64;\n221\t let mut hasher = XxHash64::with_seed(shard_id as u64); // Shard-seeded digest\n222\t\n223\t // Per-bucket hashers for granular diff (plan §13.8 step 2)\n224\t let mut bucket_hashers: Vec = (0..BUCKET_COUNT)\n225\t .map(|_| XxHash64::with_seed(shard_id as u64))\n226\t .collect();\n227\t\n228\t // Paginated iteration through documents\n229\t loop {\n230\t let filter = serde_json::json!({ \"_miroir_shard\": shard_id });\n231\t let request = FetchDocumentsRequest {\n232\t index_uid: index_uid.to_string(),\n233\t filter,\n234\t limit: batch_size as u32,\n235\t offset,\n236\t };\n237\t\n238\t let response: FetchDocumentsResponse = self\n239\t .node_client\n240\t .fetch_documents(node_id, address, &request)\n241\t .await\n242\t .map_err(|e| MiroirError::Topology(format!(\"fetch failed: {:?}\", e)))?;\n243\t\n244\t if response.results.is_empty() {\n245\t break; // No more documents\n246\t }\n247\t\n248\t for doc in &response.results {\n249\t // Extract primary key\n250\t let primary_key = doc\n251\t .get(\"id\")\n252\t .or(doc.get(\"_id\"))\n253\t .and_then(|v| v.as_str())\n254\t .unwrap_or(\"\");\n255\t\n256\t // Compute content hash\n257\t let content_hash = Self::compute_content_hash(doc);\n258\t\n259\t // Fold: hash(primary_key || content_hash) into digest\n260\t let mut pk_hasher = XxHash64::with_seed(0);\n261\t pk_hasher.write(primary_key.as_bytes());\n262\t pk_hasher.write_u64(content_hash);\n263\t let doc_hash = pk_hasher.finish();\n264\t\n265\t // Fold into shard digest\n266\t hasher.write_u64(doc_hash);\n267\t document_count += 1;\n268\t\n269\t // Fold into bucket digest for granular diff\n270\t let bucket_id = Self::bucket_for_primary_key(primary_key);\n271\t bucket_hashers[bucket_id].write_u64(doc_hash);\n272\t }\n273\t\n274\t offset += batch_size as u32;\n275\t\n276\t // Self-throttle: small sleep between batches to target <2% CPU\n277\t // (In production, this would be adaptive based on CPU metrics)\n278\t tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;\n279\t }\n280\t\n281\t let merkle_root = format!(\"xxh3:{}\", hasher.finish());\n282\t\n283\t // Extract per-bucket hashes\n284\t let bucket_hashes: Vec = bucket_hashers\n285\t .into_iter()\n286\t .map(|h| format!(\"xxh3:{}\", h.finish()))\n287\t .collect();\n288\t\n289\t debug!(\n290\t \"Fingerprinted shard {} on node {}: {} documents, root {}\",\n291\t shard_id, node_id, document_count, merkle_root\n292\t );\n293\t\n294\t Ok(ShardFingerprint {\n295\t shard_id,\n296\t node_id: node_id.to_string(),\n297\t merkle_root,\n298\t document_count,\n299\t bucket_hashes,\n300\t })\n301\t }\n302\t\n303\t /// Find divergent buckets between two fingerprints (plan §13.8 step 2).\n304\t ///\n305\t /// Returns bucket IDs where the per-bucket hashes differ.\n306\t /// Each bucket isolates divergence to ~0.4% of the PK space.\n307\t pub fn diff_fingerprints(\n308\t &self,\n309\t fp_a: &ShardFingerprint,\n310\t fp_b: &ShardFingerprint,\n311\t ) -> Vec {\n312\t let mut divergent = Vec::new();\n313\t\n314\t if fp_a.bucket_hashes.len() != BUCKET_COUNT || fp_b.bucket_hashes.len() != BUCKET_COUNT {\n315\t // Fallback: if bucket hashes aren't computed, treat all buckets as divergent\n316\t warn!(\n317\t \"Bucket hashes not computed, treating all {} buckets as divergent\",\n318\t BUCKET_COUNT\n319\t );\n320\t return (0..BUCKET_COUNT).collect();\n321\t }\n322\t\n323\t for (bucket_id, (hash_a, hash_b)) in fp_a\n324\t .bucket_hashes\n325\t .iter()\n326\t .zip(fp_b.bucket_hashes.iter())\n327\t .enumerate()\n328\t {\n329\t if hash_a != hash_b {\n330\t divergent.push(bucket_id);\n331\t }\n332\t }\n333\t\n334\t divergent\n335\t }\n336\t\n337\t /// Fetch all primary keys in a specific bucket (plan §13.8 step 2).\n338\t ///\n339\t /// Returns a map of primary key to content hash for all documents\n340\t /// in the given bucket on the specified replica.\n341\t pub async fn fetch_bucket_pks(\n342\t &self,\n343\t node_id: &NodeId,\n344\t shard_id: u32,\n345\t bucket_id: usize,\n346\t index_uid: &str,\n347\t address: &str,\n348\t ) -> Result> {\n349\t let batch_size = self.config.fingerprint_batch_size as usize;\n350\t let mut offset = 0u32;\n351\t let mut bucket_pks = HashMap::new();\n352\t\n353\t loop {\n354\t let filter = serde_json::json!({ \"_miroir_shard\": shard_id });\n355\t let request = FetchDocumentsRequest {\n356\t index_uid: index_uid.to_string(),\n357\t filter,\n358\t limit: batch_size as u32,\n359\t offset,\n360\t };\n361\t\n362\t let response: FetchDocumentsResponse = self\n363\t .node_client\n364\t .fetch_documents(node_id, address, &request)\n365\t .await\n366\t .map_err(|e| MiroirError::Topology(format!(\"fetch failed: {:?}\", e)))?;\n367\t\n368\t if response.results.is_empty() {\n369\t break;\n370\t }\n371\t\n372\t for doc in &response.results {\n373\t let primary_key = doc\n374\t .get(\"id\")\n375\t .or(doc.get(\"_id\"))\n376\t .and_then(|v| v.as_str())\n377\t .unwrap_or(\"\");\n378\t\n379\t // Check if this document belongs to the target bucket\n380\t let doc_bucket = Self::bucket_for_primary_key(primary_key);\n381\t if doc_bucket == bucket_id {\n382\t let content_hash = Self::compute_content_hash(doc);\n383\t bucket_pks.insert(primary_key.to_string(), content_hash);\n384\t }\n385\t }\n386\t\n387\t offset += batch_size as u32;\n388\t tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;\n389\t }\n390\t\n391\t Ok(bucket_pks)\n392\t }\n393\t\n394\t /// Compare replicas within a divergent bucket to find specific PK differences.\n395\t ///\n396\t /// Returns a ReplicaDiff listing:\n397\t /// - PKs only in replica A\n398\t /// - PKs only in replica B\n399\t /// - PKs with different content hashes\n400\t pub async fn compare_bucket_replicas(\n401\t &self,\n402\t shard_id: u32,\n403\t bucket_id: usize,\n404\t node_a: &NodeId,\n405\t address_a: &str,\n406\t node_b: &NodeId,\n407\t address_b: &str,\n408\t index_uid: &str,\n409\t ) -> Result {\n410\t let pks_a = self\n411\t .fetch_bucket_pks(node_a, shard_id, bucket_id, index_uid, address_a)\n412\t .await?;\n413\t let pks_b = self\n414\t .fetch_bucket_pks(node_b, shard_id, bucket_id, index_uid, address_b)\n415\t .await?;\n416\t\n417\t let mut a_only = Vec::new();\n418\t let mut b_only = Vec::new();\n419\t let mut mismatched = Vec::new();\n420\t\n421\t // Find PKs only in A or with mismatched content\n422\t for (pk, hash_a) in &pks_a {\n423\t match pks_b.get(pk) {\n424\t Some(hash_b) if hash_b != hash_a => {\n425\t mismatched.push(pk.clone());\n426\t }\n427\t None => {\n428\t a_only.push(pk.clone());\n429\t }\n430\t _ => {}\n431\t }\n432\t }\n433\t\n434\t // Find PKs only in B\n435\t for pk in pks_b.keys() {\n436\t if !pks_a.contains_key(pk) {\n437\t b_only.push(pk.clone());\n438\t }\n439\t }\n440\t\n441\t Ok(ReplicaDiff {\n442\t shard_id,\n443\t a_only_pks: a_only,\n444\t b_only_pks: b_only,\n445\t mismatched_pks: mismatched,\n446\t })\n447\t }\n448\t\n449\t /// Run a single reconciliation pass.\n450\t pub async fn run_pass(&self) -> Result {\n451\t let mut pass = ReconcilerPass {\n452\t started_at: millis_now(),\n453\t completed_at: 0,\n454\t shards_scanned: 0,\n455\t shards_with_drift: 0,\n456\t repairs_performed: 0,\n457\t errors: Vec::new(),\n458\t };\n459\t\n460\t // Set as current pass\n461\t {\n462\t let mut current = self.current_pass.write().await;\n463\t *current = Some(pass.clone());\n464\t }\n465\t\n466\t let topology = self.topology.read().await;\n467\t let shard_count = topology.shards;\n468\t let replica_groups = topology.groups().count() as u32;\n469\t\n470\t // Determine which shards to scan\n471\t let shards_to_scan = if self.config.shards_per_pass == 0 {\n472\t // Scan all shards\n473\t (0..shard_count).collect::>()\n474\t } else {\n475\t // Scan a subset (for throttling)\n476\t (0..shard_count)\n477\t .take(self.config.shards_per_pass as usize)\n478\t .collect()\n479\t };\n480\t\n481\t info!(\n482\t \"Anti-entropy pass starting: {} shards to scan\",\n483\t shards_to_scan.len()\n484\t );\n485\t\n486\t // Scan each shard\n487\t for shard_id in shards_to_scan {\n488\t match self.scan_shard(&topology, shard_id).await {\n489\t Ok(drift_detected) => {\n490\t pass.shards_scanned += 1;\n491\t if drift_detected {\n492\t pass.shards_with_drift += 1;\n493\t }\n494\t }\n495\t Err(e) => {\n496\t pass.errors.push(format!(\"shard {}: {}\", shard_id, e));\n497\t }\n498\t }\n499\t }\n500\t\n501\t pass.completed_at = millis_now();\n502\t\n503\t // Archive pass\n504\t {\n505\t let mut history = self.pass_history.write().await;\n506\t history.push(pass.clone());\n507\t // Keep last 100 passes\n508\t if history.len() > 100 {\n509\t history.remove(0);\n510\t }\n511\t }\n512\t\n513\t // Clear current pass\n514\t {\n515\t let mut current = self.current_pass.write().await;\n516\t *current = None;\n517\t }\n518\t\n519\t info!(\n520\t \"Anti-entropy pass completed: {} shards scanned, {} with drift, {} repairs\",\n521\t pass.shards_scanned, pass.shards_with_drift, pass.repairs_performed\n522\t );\n523\t\n524\t Ok(pass)\n525\t }\n526\t\n527\t /// Scan a single shard for drift.\n528\t async fn scan_shard(&self, topology: &Topology, shard_id: u32) -> Result {\n529\t // For each replica group, get the assigned nodes\n530\t let mut fingerprints = Vec::new();\n531\t\n532\t for group in topology.groups() {\n533\t let assigned = assign_shard_in_group(shard_id, group.nodes(), topology.rf());\n534\t for node_id in assigned {\n535\t // Look up node address from topology\n536\t let topology_guard = self.topology.read().await;\n537\t let node = topology_guard\n538\t .node(&node_id)\n539\t .ok_or_else(|| MiroirError::Topology(format!(\"node {} not found\", node_id)))?;\n540\t\n541\t if !node.is_healthy() {\n542\t warn!(\"Node {} is not healthy, skipping fingerprint\", node_id);\n543\t continue;\n544\t }\n545\t\n546\t let address = node.address.clone();\n547\t drop(topology_guard);\n548\t\n549\t match self\n550\t .fingerprint_shard(&node_id, shard_id, &self.config.index_uid, &address)\n551\t .await\n552\t {\n553\t Ok(fp) => fingerprints.push((node_id.clone(), address, fp)),\n554\t Err(e) => {\n555\t warn!(\n556\t \"Failed to fingerprint shard {} on node {}: {}\",\n557\t shard_id, node_id, e\n558\t );\n559\t // Continue with other nodes\n560\t }\n561\t }\n562\t }\n563\t }\n564\t\n565\t if fingerprints.is_empty() {\n566\t // No readable replicas\n567\t return Ok(false);\n568\t }\n569\t\n570\t // Compare fingerprints\n571\t let (ref_node_id, ref_address, reference) = &fingerprints[0];\n572\t let mut drift_detected = false;\n573\t\n574\t for (node_id, address, fp) in &fingerprints[1..] {\n575\t if fp.merkle_root != reference.merkle_root {\n576\t drift_detected = true;\n577\t debug!(\n578\t \"Shard {} drift detected: node {} has different merkle root\",\n579\t shard_id, node_id\n580\t );\n581\t\n582\t if self.config.auto_repair {\n583\t // Perform detailed diff and repair\n584\t if let Err(e) = self\n585\t .repair_shard(\n586\t shard_id,\n587\t ref_node_id,\n588\t ref_address,\n589\t reference,\n590\t node_id,\n591\t address,\n592\t fp,\n593\t )\n594\t .await\n595\t {\n596\t error!(\n597\t \"Failed to repair shard {} on node {}: {}\",\n598\t shard_id, node_id, e\n599\t );\n600\t }\n601\t }\n602\t }\n603\t }\n604\t\n605\t Ok(drift_detected)\n606\t }\n607\t\n608\t /// Repair a shard by comparing replicas and applying fixes (plan §13.8 step 3).\n609\t async fn repair_shard(\n610\t &self,\n611\t shard_id: u32,\n612\t reference_node: &NodeId,\n613\t reference_address: &str,\n614\t reference_fp: &ShardFingerprint,\n615\t target_node: &NodeId,\n616\t target_address: &str,\n617\t target_fp: &ShardFingerprint,\n618\t ) -> Result<()> {\n619\t debug!(\n620\t \"Repairing shard {} on node {} (reference: node {})\",\n621\t shard_id, target_node, reference_node\n622\t );\n623\t\n624\t // Step 1: Find divergent buckets using per-bucket hashes (plan §13.8 step 2)\n625\t let divergent_buckets = self.diff_fingerprints(reference_fp, target_fp);\n626\t\n627\t if divergent_buckets.is_empty() {\n628\t // No bucket-level divergence (shouldn't happen if merkle roots differ)\n629\t warn!(\n630\t \"Shard {} merkle roots differ but no bucket divergence found\",\n631\t shard_id\n632\t );\n633\t return Ok(());\n634\t }\n635\t\n636\t debug!(\n637\t \"Shard {} has {} divergent buckets out of {}\",\n638\t shard_id,\n639\t divergent_buckets.len(),\n640\t BUCKET_COUNT\n641\t );\n642\t\n643\t // Step 2: For each divergent bucket, enumerate divergent PKs\n644\t for bucket_id in divergent_buckets {\n645\t match self\n646\t .compare_bucket_replicas(\n647\t shard_id,\n648\t bucket_id,\n649\t reference_node,\n650\t reference_address,\n651\t target_node,\n652\t target_address,\n653\t &self.config.index_uid,\n654\t )\n655\t .await\n656\t {\n657\t Ok(diff) => {\n658\t let total_divergent =\n659\t diff.a_only_pks.len() + diff.b_only_pks.len() + diff.mismatched_pks.len();\n660\t\n661\t if total_divergent > 0 {\n662\t debug!(\n663\t \"Bucket {} in shard {}: {} divergent PKs ({} A-only, {} B-only, {} mismatched)\",\n664\t bucket_id,\n665\t shard_id,\n666\t total_divergent,\n667\t diff.a_only_pks.len(),\n668\t diff.b_only_pks.len(),\n669\t diff.mismatched_pks.len()\n670\t );\n671\t\n672\t // Step 3: For each divergent PK, apply repair (plan §13.8 step 3)\n673\t // TODO: Implement actual repair writes\n674\t // For now, just log the divergence\n675\t for pk in &diff.a_only_pks {\n676\t debug!(\"PK {} only exists on reference node {}\", pk, reference_node);\n677\t }\n678\t for pk in &diff.b_only_pks {\n679\t debug!(\"PK {} only exists on target node {}\", pk, target_node);\n680\t }\n681\t for pk in &diff.mismatched_pks {\n682\t debug!(\"PK {} has mismatched content\", pk);\n683\t }\n684\t }\n685\t }\n686\t Err(e) => {\n687\t warn!(\n688\t \"Failed to compare bucket {} in shard {}: {}\",\n689\t bucket_id, shard_id, e\n690\t );\n691\t }\n692\t }\n693\t }\n694\t\n695\t Ok(())\n696\t }\n697\t\n698\t /// Get pass history.\n699\t pub async fn pass_history(&self) -> Vec {\n700\t self.pass_history.read().await.clone()\n701\t }\n702\t\n703\t /// Get current pass in progress.\n704\t pub async fn current_pass(&self) -> Option {\n705\t self.current_pass.read().await.clone()\n706\t }\n707\t}\n708\t\n709\t/// Validates that migration is safe given the anti-entropy configuration.\n710\t/// Returns Ok(()) if safe, Err with a descriptive message if not.\n711\t///\n712\t/// Hard refusal policy (plan §15 OP#1): skipping the delta pass while\n713\t/// anti-entropy is disabled provides zero recovery path for documents\n714\t/// written at the cutover boundary. Measured loss rate: ~2% of writes.\n715\t/// This is a hard-coded policy, not a warning.\n716\tpub fn validate_migration_safety(\n717\t ae_config: &AntiEntropyConfig,\n718\t migration_config: &MigrationConfig,\n719\t) -> std::result::Result<(), MigrationError> {\n720\t if migration_config.skip_delta_pass && !ae_config.enabled {\n721\t return Err(MigrationError::UnsafeCutoverNoAntiEntropy);\n722\t }\n723\t Ok(())\n724\t}\n725\t\n726\t/// Generates a warning if anti-entropy is disabled during active migration.\n727\t/// The caller should log this at warn level.\n728\t///\n729\t/// Even with the delta pass enabled (which provides 0-loss cutover on its own),\n730\t/// disabling anti-entropy means the delta pass is the sole safety mechanism.\n731\t/// Operators should be aware of this reduced redundancy.\n732\tpub fn migration_warning_if_ae_disabled(ae_enabled: bool) -> Option {\n733\t if ae_enabled {\n734\t return None;\n735\t }\n736\t Some(\n737\t \"Anti-entropy is disabled. Shard migration cutover relies on the delta pass \\\n738\t as the sole safety mechanism. Any bugs in the delta pass could lead to \\\n739\t data loss at the cutover boundary. Re-enable anti-entropy for defense-in-depth.\"\n740\t .to_string(),\n741\t )\n742\t}\n743\t\n744\t/// Get current UNIX timestamp in milliseconds.\n745\tfn millis_now() -> u64 {\n746\t SystemTime::now()\n747\t .duration_since(UNIX_EPOCH)\n748\t .unwrap_or_default()\n749\t .as_millis() as u64\n750\t}\n751\t\n752\t#[cfg(test)]\n753\tmod tests {\n754\t use super::*;\n755\t use serde_json::json;\n756\t\n757\t #[test]\n758\t fn test_validate_safe_with_delta_pass() {\n759\t let ae = AntiEntropyConfig {\n760\t enabled: false,\n761\t ..Default::default()\n762\t };\n763\t let mc = MigrationConfig {\n764\t skip_delta_pass: false,\n765\t ..Default::default()\n766\t };\n767\t assert!(validate_migration_safety(&ae, &mc).is_ok());\n768\t }\n769\t\n770\t #[test]\n771\t fn test_validate_unsafe_without_anti_entropy() {\n772\t let ae = AntiEntropyConfig {\n773\t enabled: false,\n774\t ..Default::default()\n775\t };\n776\t let mc = MigrationConfig {\n777\t skip_delta_pass: true,\n778\t anti_entropy_enabled: false,\n779\t ..Default::default()\n780\t };\n781\t assert!(validate_migration_safety(&ae, &mc).is_err());\n782\t }\n783\t\n784\t #[test]\n785\t fn test_validate_safe_with_anti_entropy_safety_net() {\n786\t let ae = AntiEntropyConfig {\n787\t enabled: true,\n788\t ..Default::default()\n789\t };\n790\t let mc = MigrationConfig {\n791\t skip_delta_pass: true,\n792\t anti_entropy_enabled: true,\n793\t ..Default::default()\n794\t };\n795\t assert!(validate_migration_safety(&ae, &mc).is_ok());\n796\t }\n797\t\n798\t #[test]\n799\t fn test_warning_when_ae_disabled() {\n800\t assert!(migration_warning_if_ae_disabled(false).is_some());\n801\t assert!(migration_warning_if_ae_disabled(true).is_none());\n802\t }\n803\t\n804\t #[test]\n805\t fn test_compute_content_hash_strips_internal_fields() {\n806\t let doc_with_internal = json!({\n807\t \"id\": \"test-1\",\n808\t \"title\": \"Test Document\",\n809\t \"content\": \"Some content\",\n810\t \"_miroir_shard\": 5,\n811\t \"_miroir_updated_at\": 1234567890,\n812\t \"_rankingScore\": 0.95,\n813\t });\n814\t\n815\t let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc_with_internal);\n816\t\n817\t let doc_clean = json!({\n818\t \"id\": \"test-1\",\n819\t \"title\": \"Test Document\",\n820\t \"content\": \"Some content\",\n821\t });\n822\t\n823\t let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc_clean);\n824\t\n825\t // Same content (without internal fields) should produce same hash\n826\t assert_eq!(\n827\t hash1, hash2,\n828\t \"hashes should match after stripping internal fields\"\n829\t );\n830\t }\n831\t\n832\t #[test]\n833\t fn test_compute_content_hash_is_deterministic() {\n834\t let doc = json!({\n835\t \"id\": \"test-2\",\n836\t \"z_field\": \"last\",\n837\t \"a_field\": \"first\",\n838\t \"m_field\": \"middle\",\n839\t });\n840\t\n841\t let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc);\n842\t let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc);\n843\t\n844\t assert_eq!(hash1, hash2, \"hash should be deterministic\");\n845\t }\n846\t\n847\t #[test]\n848\t fn test_compute_content_hash_different_content() {\n849\t let doc1 = json!({\n850\t \"id\": \"test-3\",\n851\t \"title\": \"First\",\n852\t });\n853\t\n854\t let doc2 = json!({\n855\t \"id\": \"test-3\",\n856\t \"title\": \"Second\",\n857\t });\n858\t\n859\t let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc1);\n860\t let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc2);\n861\t\n862\t assert_ne!(hash1, hash2, \"different content should produce different hashes\");\n863\t }\n864\t\n865\t #[test]\n866\t fn test_compute_content_hash_key_order_independence() {\n867\t // JSON objects with same fields but different key order\n868\t let doc1 = json!({\n869\t \"id\": \"test-4\",\n870\t \"b\": \"value_b\",\n871\t \"a\": \"value_a\",\n872\t \"c\": \"value_c\",\n873\t });\n874\t\n875\t let doc2 = json!({\n876\t \"c\": \"value_c\",\n877\t \"a\": \"value_a\",\n878\t \"id\": \"test-4\",\n879\t \"b\": \"value_b\",\n880\t });\n881\t\n882\t let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc1);\n883\t let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc2);\n884\t\n885\t assert_eq!(hash1, hash2, \"hash should be independent of key order\");\n886\t }\n887\t}\n888\t"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"1b3b025a-76a5-4add-a1ee-36960a1cf938","timestamp":"2026-05-23T12:42:29.468Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/miroir/crates/miroir-core/src/anti_entropy.rs","content":"//! Anti-entropy reconciler module (plan §13.8).\n//!\n//! Detects and repairs replica drift using the fingerprint → diff → repair pipeline.\n//! Resolves Open Problem #1 (dual-write safety) by continuously reconciling\n//! replicas and catching any missed writes.\n//!\n//! # CDC Origin Tag (plan §13.13)\n//!\n//! Repair writes must be tagged with `origin=\"antientropy\"` so they are suppressed\n//! from CDC by default (unless `emit_internal_writes` is true).\n//!\n//! When constructing `WriteRequest` for repair writes, set:\n//! ```ignore\n//! use miroir_core::cdc::ORIGIN_ANTIENTROPY;\n//! WriteRequest { ..., origin: Some(ORIGIN_ANTIENTROPY.to_string()) }\n//! ```\n\nuse crate::error::{MiroirError, Result};\nuse crate::migration::{MigrationConfig, MigrationError};\nuse crate::router::assign_shard_in_group;\nuse crate::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient};\nuse crate::topology::{NodeId, Topology};\nuse serde::{Deserialize, Serialize};\nuse serde_json::{json, Value};\nuse std::collections::{BTreeMap, HashMap};\nuse std::hash::Hasher;\nuse std::sync::Arc;\nuse std::time::{SystemTime, UNIX_EPOCH};\nuse tokio::sync::RwLock;\nuse tracing::{debug, error, info, warn};\nuse twox_hash::XxHash64;\n\n/// Number of buckets for granular diff (plan §13.8 step 2).\n///\n/// Each bucket isolates divergence to ~1/256 (≈0.4%) of the PK space.\npub const BUCKET_COUNT: usize = 256;\n\n/// Anti-entropy configuration (plan §13.8).\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct AntiEntropyConfig {\n pub enabled: bool,\n pub schedule: String,\n pub index_uid: String,\n pub shards_per_pass: u32,\n pub max_read_concurrency: u32,\n pub fingerprint_batch_size: u32,\n pub auto_repair: bool,\n pub updated_at_field: String,\n}\n\nimpl Default for AntiEntropyConfig {\n fn default() -> Self {\n Self {\n enabled: true,\n schedule: \"every 6h\".to_string(),\n index_uid: \"default\".to_string(),\n shards_per_pass: 0,\n max_read_concurrency: 2,\n fingerprint_batch_size: 1000,\n auto_repair: true,\n updated_at_field: \"_miroir_updated_at\".to_string(),\n }\n }\n}\n\n/// Shard fingerprint for comparison.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct ShardFingerprint {\n /// Shard ID.\n pub shard_id: u32,\n /// Node ID.\n pub node_id: String,\n /// Merkle root of document hashes.\n pub merkle_root: String,\n /// Document count.\n pub document_count: u64,\n /// Per-bucket hashes for detailed diff.\n pub bucket_hashes: Vec,\n}\n\n/// Replica diff result.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct ReplicaDiff {\n /// Shard ID.\n pub shard_id: u32,\n /// Primary keys only in replica A.\n pub a_only_pks: Vec,\n /// Primary keys only in replica B.\n pub b_only_pks: Vec,\n /// Primary keys with content hash mismatch.\n pub mismatched_pks: Vec,\n}\n\n/// Repair action.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct RepairAction {\n /// Shard ID.\n pub shard_id: u32,\n /// Primary key to repair.\n pub primary_key: String,\n /// Authoritative version (document JSON).\n pub authoritative_doc: serde_json::Value,\n /// Target nodes that need repair.\n pub target_nodes: Vec,\n /// Reason for repair.\n pub reason: RepairReason,\n}\n\n/// Why a repair is needed.\n#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]\npub enum RepairReason {\n /// Document missing on replica.\n Missing,\n /// Content hash mismatch.\n Mismatch,\n /// Expired document resurrection (TTL interaction).\n ExpiredResurrection,\n}\n\n/// Reconciler pass result.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct ReconcilerPass {\n /// Pass started at (UNIX ms).\n pub started_at: u64,\n /// Pass completed at (UNIX ms).\n pub completed_at: u64,\n /// Shards scanned.\n pub shards_scanned: u32,\n /// Shards with drift detected.\n pub shards_with_drift: u32,\n /// Repairs performed.\n pub repairs_performed: u32,\n /// Errors encountered.\n pub errors: Vec,\n}\n\n/// Anti-entropy reconciler.\npub struct AntiEntropyReconciler {\n /// Configuration.\n config: AntiEntropyConfig,\n /// Shared topology.\n topology: Arc>,\n /// Pass history.\n pass_history: Arc>>,\n /// Currently running pass.\n current_pass: Arc>>,\n /// HTTP client for node communication.\n node_client: Arc,\n}\n\nimpl AntiEntropyReconciler {\n /// Create a new anti-entropy reconciler.\n pub fn new(\n config: AntiEntropyConfig,\n topology: Arc>,\n node_client: Arc,\n ) -> Self {\n Self {\n config,\n topology,\n pass_history: Arc::new(RwLock::new(Vec::new())),\n current_pass: Arc::new(RwLock::new(None)),\n node_client,\n }\n }\n\n /// Compute bucket ID for a primary key (plan §13.8 step 2).\n ///\n /// Uses pk-hash modulo BUCKET_COUNT to isolate divergence to ~0.4% of PK space.\n /// This is reused by §13.1 reshard verify with PK-keyed bucketing.\n pub fn bucket_for_primary_key(primary_key: &str) -> usize {\n let mut hasher = XxHash64::with_seed(0);\n hasher.write(primary_key.as_bytes());\n (hasher.finish() as usize) % BUCKET_COUNT\n }\n\n /// Compute the canonical content hash of a document.\n ///\n /// The canonical form excludes internal Miroir fields (_miroir_*, _rankingScore)\n /// and serializes with sorted keys for deterministic hashing.\n pub fn compute_content_hash(document: &Value) -> u64 {\n // Remove internal fields to get canonical content\n let mut canonical = document.clone();\n if let Some(obj) = canonical.as_object_mut() {\n // Remove all _miroir_* fields\n obj.retain(|k, _| !k.starts_with(\"_miroir_\"));\n // Remove _rankingScore (not content, used for scoring)\n obj.remove(\"_rankingScore\");\n }\n\n // Serialize with sorted keys for deterministic output\n let canonical_json = if let Some(obj) = canonical.as_object() {\n // Use BTreeMap to sort keys\n let sorted: BTreeMap<_, _> = obj.iter().collect();\n serde_json::to_string(&sorted).unwrap_or_else(|_| \"{}\".to_string())\n } else {\n serde_json::to_string(&canonical).unwrap_or_else(|_| \"{}\".to_string())\n };\n\n // Hash using xxh3 (xxhash family, same as router)\n let mut hasher = XxHash64::with_seed(0);\n hasher.write(canonical_json.as_bytes());\n hasher.finish()\n }\n\n /// Fingerprint a single shard on a node (plan §13.8 step 1).\n ///\n /// Iterates all documents with filter=_miroir_shard={id}, computes\n /// hash(primary_key || content_hash) for each, and folds into a\n /// streaming xxh3 digest. Also computes per-bucket hashes for diff.\n pub async fn fingerprint_shard(\n &self,\n node_id: &NodeId,\n shard_id: u32,\n index_uid: &str,\n address: &str,\n ) -> Result {\n let batch_size = self.config.fingerprint_batch_size as usize;\n let mut offset = 0u32;\n let mut document_count = 0u64;\n let mut hasher = XxHash64::with_seed(shard_id as u64); // Shard-seeded digest\n\n // Per-bucket hashers for granular diff (plan §13.8 step 2)\n let mut bucket_hashers: Vec = (0..BUCKET_COUNT)\n .map(|_| XxHash64::with_seed(shard_id as u64))\n .collect();\n\n // Paginated iteration through documents\n loop {\n let filter = serde_json::json!({ \"_miroir_shard\": shard_id });\n let request = FetchDocumentsRequest {\n index_uid: index_uid.to_string(),\n filter,\n limit: batch_size as u32,\n offset,\n };\n\n let response: FetchDocumentsResponse = self\n .node_client\n .fetch_documents(node_id, address, &request)\n .await\n .map_err(|e| MiroirError::Topology(format!(\"fetch failed: {:?}\", e)))?;\n\n if response.results.is_empty() {\n break; // No more documents\n }\n\n for doc in &response.results {\n // Extract primary key\n let primary_key = doc\n .get(\"id\")\n .or(doc.get(\"_id\"))\n .and_then(|v| v.as_str())\n .unwrap_or(\"\");\n\n // Compute content hash\n let content_hash = Self::compute_content_hash(doc);\n\n // Fold: hash(primary_key || content_hash) into digest\n let mut pk_hasher = XxHash64::with_seed(0);\n pk_hasher.write(primary_key.as_bytes());\n pk_hasher.write_u64(content_hash);\n let doc_hash = pk_hasher.finish();\n\n // Fold into shard digest\n hasher.write_u64(doc_hash);\n document_count += 1;\n\n // Fold into bucket digest for granular diff\n let bucket_id = Self::bucket_for_primary_key(primary_key);\n bucket_hashers[bucket_id].write_u64(doc_hash);\n }\n\n offset += batch_size as u32;\n\n // Self-throttle: small sleep between batches to target <2% CPU\n // (In production, this would be adaptive based on CPU metrics)\n tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;\n }\n\n let merkle_root = format!(\"xxh3:{}\", hasher.finish());\n\n // Extract per-bucket hashes\n let bucket_hashes: Vec = bucket_hashers\n .into_iter()\n .map(|h| format!(\"xxh3:{}\", h.finish()))\n .collect();\n\n debug!(\n \"Fingerprinted shard {} on node {}: {} documents, root {}\",\n shard_id, node_id, document_count, merkle_root\n );\n\n Ok(ShardFingerprint {\n shard_id,\n node_id: node_id.to_string(),\n merkle_root,\n document_count,\n bucket_hashes,\n })\n }\n\n /// Find divergent buckets between two fingerprints (plan §13.8 step 2).\n ///\n /// Returns bucket IDs where the per-bucket hashes differ.\n /// Each bucket isolates divergence to ~0.4% of the PK space.\n pub fn diff_fingerprints(\n &self,\n fp_a: &ShardFingerprint,\n fp_b: &ShardFingerprint,\n ) -> Vec {\n let mut divergent = Vec::new();\n\n if fp_a.bucket_hashes.len() != BUCKET_COUNT || fp_b.bucket_hashes.len() != BUCKET_COUNT {\n // Fallback: if bucket hashes aren't computed, treat all buckets as divergent\n warn!(\n \"Bucket hashes not computed, treating all {} buckets as divergent\",\n BUCKET_COUNT\n );\n return (0..BUCKET_COUNT).collect();\n }\n\n for (bucket_id, (hash_a, hash_b)) in fp_a\n .bucket_hashes\n .iter()\n .zip(fp_b.bucket_hashes.iter())\n .enumerate()\n {\n if hash_a != hash_b {\n divergent.push(bucket_id);\n }\n }\n\n divergent\n }\n\n /// Fetch all primary keys in a specific bucket (plan §13.8 step 2).\n ///\n /// Returns a map of primary key to content hash for all documents\n /// in the given bucket on the specified replica.\n pub async fn fetch_bucket_pks(\n &self,\n node_id: &NodeId,\n shard_id: u32,\n bucket_id: usize,\n index_uid: &str,\n address: &str,\n ) -> Result> {\n let batch_size = self.config.fingerprint_batch_size as usize;\n let mut offset = 0u32;\n let mut bucket_pks = HashMap::new();\n\n loop {\n let filter = serde_json::json!({ \"_miroir_shard\": shard_id });\n let request = FetchDocumentsRequest {\n index_uid: index_uid.to_string(),\n filter,\n limit: batch_size as u32,\n offset,\n };\n\n let response: FetchDocumentsResponse = self\n .node_client\n .fetch_documents(node_id, address, &request)\n .await\n .map_err(|e| MiroirError::Topology(format!(\"fetch failed: {:?}\", e)))?;\n\n if response.results.is_empty() {\n break;\n }\n\n for doc in &response.results {\n let primary_key = doc\n .get(\"id\")\n .or(doc.get(\"_id\"))\n .and_then(|v| v.as_str())\n .unwrap_or(\"\");\n\n // Check if this document belongs to the target bucket\n let doc_bucket = Self::bucket_for_primary_key(primary_key);\n if doc_bucket == bucket_id {\n let content_hash = Self::compute_content_hash(doc);\n bucket_pks.insert(primary_key.to_string(), content_hash);\n }\n }\n\n offset += batch_size as u32;\n tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;\n }\n\n Ok(bucket_pks)\n }\n\n /// Compare replicas within a divergent bucket to find specific PK differences.\n ///\n /// Returns a ReplicaDiff listing:\n /// - PKs only in replica A\n /// - PKs only in replica B\n /// - PKs with different content hashes\n pub async fn compare_bucket_replicas(\n &self,\n shard_id: u32,\n bucket_id: usize,\n node_a: &NodeId,\n address_a: &str,\n node_b: &NodeId,\n address_b: &str,\n index_uid: &str,\n ) -> Result {\n let pks_a = self\n .fetch_bucket_pks(node_a, shard_id, bucket_id, index_uid, address_a)\n .await?;\n let pks_b = self\n .fetch_bucket_pks(node_b, shard_id, bucket_id, index_uid, address_b)\n .await?;\n\n let mut a_only = Vec::new();\n let mut b_only = Vec::new();\n let mut mismatched = Vec::new();\n\n // Find PKs only in A or with mismatched content\n for (pk, hash_a) in &pks_a {\n match pks_b.get(pk) {\n Some(hash_b) if hash_b != hash_a => {\n mismatched.push(pk.clone());\n }\n None => {\n a_only.push(pk.clone());\n }\n _ => {}\n }\n }\n\n // Find PKs only in B\n for pk in pks_b.keys() {\n if !pks_a.contains_key(pk) {\n b_only.push(pk.clone());\n }\n }\n\n Ok(ReplicaDiff {\n shard_id,\n a_only_pks: a_only,\n b_only_pks: b_only,\n mismatched_pks: mismatched,\n })\n }\n\n /// Run a single reconciliation pass.\n pub async fn run_pass(&self) -> Result {\n let mut pass = ReconcilerPass {\n started_at: millis_now(),\n completed_at: 0,\n shards_scanned: 0,\n shards_with_drift: 0,\n repairs_performed: 0,\n errors: Vec::new(),\n };\n\n // Set as current pass\n {\n let mut current = self.current_pass.write().await;\n *current = Some(pass.clone());\n }\n\n let topology = self.topology.read().await;\n let shard_count = topology.shards;\n let replica_groups = topology.groups().count() as u32;\n\n // Determine which shards to scan\n let shards_to_scan = if self.config.shards_per_pass == 0 {\n // Scan all shards\n (0..shard_count).collect::>()\n } else {\n // Scan a subset (for throttling)\n (0..shard_count)\n .take(self.config.shards_per_pass as usize)\n .collect()\n };\n\n info!(\n \"Anti-entropy pass starting: {} shards to scan\",\n shards_to_scan.len()\n );\n\n // Scan each shard\n for shard_id in shards_to_scan {\n match self.scan_shard(&topology, shard_id).await {\n Ok(drift_detected) => {\n pass.shards_scanned += 1;\n if drift_detected {\n pass.shards_with_drift += 1;\n }\n }\n Err(e) => {\n pass.errors.push(format!(\"shard {}: {}\", shard_id, e));\n }\n }\n }\n\n pass.completed_at = millis_now();\n\n // Archive pass\n {\n let mut history = self.pass_history.write().await;\n history.push(pass.clone());\n // Keep last 100 passes\n if history.len() > 100 {\n history.remove(0);\n }\n }\n\n // Clear current pass\n {\n let mut current = self.current_pass.write().await;\n *current = None;\n }\n\n info!(\n \"Anti-entropy pass completed: {} shards scanned, {} with drift, {} repairs\",\n pass.shards_scanned, pass.shards_with_drift, pass.repairs_performed\n );\n\n Ok(pass)\n }\n\n /// Scan a single shard for drift.\n async fn scan_shard(&self, topology: &Topology, shard_id: u32) -> Result {\n // For each replica group, get the assigned nodes\n let mut fingerprints = Vec::new();\n\n for group in topology.groups() {\n let assigned = assign_shard_in_group(shard_id, group.nodes(), topology.rf());\n for node_id in assigned {\n // Look up node address from topology\n let topology_guard = self.topology.read().await;\n let node = topology_guard\n .node(&node_id)\n .ok_or_else(|| MiroirError::Topology(format!(\"node {} not found\", node_id)))?;\n\n if !node.is_healthy() {\n warn!(\"Node {} is not healthy, skipping fingerprint\", node_id);\n continue;\n }\n\n let address = node.address.clone();\n drop(topology_guard);\n\n match self\n .fingerprint_shard(&node_id, shard_id, &self.config.index_uid, &address)\n .await\n {\n Ok(fp) => fingerprints.push((node_id.clone(), address, fp)),\n Err(e) => {\n warn!(\n \"Failed to fingerprint shard {} on node {}: {}\",\n shard_id, node_id, e\n );\n // Continue with other nodes\n }\n }\n }\n }\n\n if fingerprints.is_empty() {\n // No readable replicas\n return Ok(false);\n }\n\n // Compare fingerprints\n let (ref_node_id, ref_address, reference) = &fingerprints[0];\n let mut drift_detected = false;\n\n for (node_id, address, fp) in &fingerprints[1..] {\n if fp.merkle_root != reference.merkle_root {\n drift_detected = true;\n debug!(\n \"Shard {} drift detected: node {} has different merkle root\",\n shard_id, node_id\n );\n\n if self.config.auto_repair {\n // Perform detailed diff and repair\n if let Err(e) = self\n .repair_shard(\n shard_id,\n ref_node_id,\n ref_address,\n reference,\n node_id,\n address,\n fp,\n )\n .await\n {\n error!(\n \"Failed to repair shard {} on node {}: {}\",\n shard_id, node_id, e\n );\n }\n }\n }\n }\n\n Ok(drift_detected)\n }\n\n /// Repair a shard by comparing replicas and applying fixes (plan §13.8 step 3).\n async fn repair_shard(\n &self,\n shard_id: u32,\n reference_node: &NodeId,\n reference_address: &str,\n reference_fp: &ShardFingerprint,\n target_node: &NodeId,\n target_address: &str,\n target_fp: &ShardFingerprint,\n ) -> Result<()> {\n debug!(\n \"Repairing shard {} on node {} (reference: node {})\",\n shard_id, target_node, reference_node\n );\n\n // Step 1: Find divergent buckets using per-bucket hashes (plan §13.8 step 2)\n let divergent_buckets = self.diff_fingerprints(reference_fp, target_fp);\n\n if divergent_buckets.is_empty() {\n // No bucket-level divergence (shouldn't happen if merkle roots differ)\n warn!(\n \"Shard {} merkle roots differ but no bucket divergence found\",\n shard_id\n );\n return Ok(());\n }\n\n debug!(\n \"Shard {} has {} divergent buckets out of {}\",\n shard_id,\n divergent_buckets.len(),\n BUCKET_COUNT\n );\n\n // Step 2: For each divergent bucket, enumerate divergent PKs\n for bucket_id in divergent_buckets {\n match self\n .compare_bucket_replicas(\n shard_id,\n bucket_id,\n reference_node,\n reference_address,\n target_node,\n target_address,\n &self.config.index_uid,\n )\n .await\n {\n Ok(diff) => {\n let total_divergent =\n diff.a_only_pks.len() + diff.b_only_pks.len() + diff.mismatched_pks.len();\n\n if total_divergent > 0 {\n debug!(\n \"Bucket {} in shard {}: {} divergent PKs ({} A-only, {} B-only, {} mismatched)\",\n bucket_id,\n shard_id,\n total_divergent,\n diff.a_only_pks.len(),\n diff.b_only_pks.len(),\n diff.mismatched_pks.len()\n );\n\n // Step 3: For each divergent PK, apply repair (plan §13.8 step 3)\n // TODO: Implement actual repair writes\n // For now, just log the divergence\n for pk in &diff.a_only_pks {\n debug!(\"PK {} only exists on reference node {}\", pk, reference_node);\n }\n for pk in &diff.b_only_pks {\n debug!(\"PK {} only exists on target node {}\", pk, target_node);\n }\n for pk in &diff.mismatched_pks {\n debug!(\"PK {} has mismatched content\", pk);\n }\n }\n }\n Err(e) => {\n warn!(\n \"Failed to compare bucket {} in shard {}: {}\",\n bucket_id, shard_id, e\n );\n }\n }\n }\n\n Ok(())\n }\n\n /// Get pass history.\n pub async fn pass_history(&self) -> Vec {\n self.pass_history.read().await.clone()\n }\n\n /// Get current pass in progress.\n pub async fn current_pass(&self) -> Option {\n self.current_pass.read().await.clone()\n }\n}\n\n/// Validates that migration is safe given the anti-entropy configuration.\n/// Returns Ok(()) if safe, Err with a descriptive message if not.\n///\n/// Hard refusal policy (plan §15 OP#1): skipping the delta pass while\n/// anti-entropy is disabled provides zero recovery path for documents\n/// written at the cutover boundary. Measured loss rate: ~2% of writes.\n/// This is a hard-coded policy, not a warning.\npub fn validate_migration_safety(\n ae_config: &AntiEntropyConfig,\n migration_config: &MigrationConfig,\n) -> std::result::Result<(), MigrationError> {\n if migration_config.skip_delta_pass && !ae_config.enabled {\n return Err(MigrationError::UnsafeCutoverNoAntiEntropy);\n }\n Ok(())\n}\n\n/// Generates a warning if anti-entropy is disabled during active migration.\n/// The caller should log this at warn level.\n///\n/// Even with the delta pass enabled (which provides 0-loss cutover on its own),\n/// disabling anti-entropy means the delta pass is the sole safety mechanism.\n/// Operators should be aware of this reduced redundancy.\npub fn migration_warning_if_ae_disabled(ae_enabled: bool) -> Option {\n if ae_enabled {\n return None;\n }\n Some(\n \"Anti-entropy is disabled. Shard migration cutover relies on the delta pass \\\n as the sole safety mechanism. Any bugs in the delta pass could lead to \\\n data loss at the cutover boundary. Re-enable anti-entropy for defense-in-depth.\"\n .to_string(),\n )\n}\n\n/// Get current UNIX timestamp in milliseconds.\nfn millis_now() -> u64 {\n SystemTime::now()\n .duration_since(UNIX_EPOCH)\n .unwrap_or_default()\n .as_millis() as u64\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n use serde_json::json;\n\n #[test]\n fn test_validate_safe_with_delta_pass() {\n let ae = AntiEntropyConfig {\n enabled: false,\n ..Default::default()\n };\n let mc = MigrationConfig {\n skip_delta_pass: false,\n ..Default::default()\n };\n assert!(validate_migration_safety(&ae, &mc).is_ok());\n }\n\n #[test]\n fn test_validate_unsafe_without_anti_entropy() {\n let ae = AntiEntropyConfig {\n enabled: false,\n ..Default::default()\n };\n let mc = MigrationConfig {\n skip_delta_pass: true,\n anti_entropy_enabled: false,\n ..Default::default()\n };\n assert!(validate_migration_safety(&ae, &mc).is_err());\n }\n\n #[test]\n fn test_validate_safe_with_anti_entropy_safety_net() {\n let ae = AntiEntropyConfig {\n enabled: true,\n ..Default::default()\n };\n let mc = MigrationConfig {\n skip_delta_pass: true,\n anti_entropy_enabled: true,\n ..Default::default()\n };\n assert!(validate_migration_safety(&ae, &mc).is_ok());\n }\n\n #[test]\n fn test_warning_when_ae_disabled() {\n assert!(migration_warning_if_ae_disabled(false).is_some());\n assert!(migration_warning_if_ae_disabled(true).is_none());\n }\n\n #[test]\n fn test_compute_content_hash_strips_internal_fields() {\n let doc_with_internal = json!({\n \"id\": \"test-1\",\n \"title\": \"Test Document\",\n \"content\": \"Some content\",\n \"_miroir_shard\": 5,\n \"_miroir_updated_at\": 1234567890,\n \"_rankingScore\": 0.95,\n });\n\n let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc_with_internal);\n\n let doc_clean = json!({\n \"id\": \"test-1\",\n \"title\": \"Test Document\",\n \"content\": \"Some content\",\n });\n\n let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc_clean);\n\n // Same content (without internal fields) should produce same hash\n assert_eq!(\n hash1, hash2,\n \"hashes should match after stripping internal fields\"\n );\n }\n\n #[test]\n fn test_compute_content_hash_is_deterministic() {\n let doc = json!({\n \"id\": \"test-2\",\n \"z_field\": \"last\",\n \"a_field\": \"first\",\n \"m_field\": \"middle\",\n });\n\n let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc);\n let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc);\n\n assert_eq!(hash1, hash2, \"hash should be deterministic\");\n }\n\n #[test]\n fn test_compute_content_hash_different_content() {\n let doc1 = json!({\n \"id\": \"test-3\",\n \"title\": \"First\",\n });\n\n let doc2 = json!({\n \"id\": \"test-3\",\n \"title\": \"Second\",\n });\n\n let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc1);\n let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc2);\n\n assert_ne!(hash1, hash2, \"different content should produce different hashes\");\n }\n\n #[test]\n fn test_compute_content_hash_key_order_independence() {\n // JSON objects with same fields but different key order\n let doc1 = json!({\n \"id\": \"test-4\",\n \"b\": \"value_b\",\n \"a\": \"value_a\",\n \"c\": \"value_c\",\n });\n\n let doc2 = json!({\n \"c\": \"value_c\",\n \"a\": \"value_a\",\n \"id\": \"test-4\",\n \"b\": \"value_b\",\n });\n\n let hash1 = AntiEntropyReconciler::::compute_content_hash(&doc1);\n let hash2 = AntiEntropyReconciler::::compute_content_hash(&doc2);\n\n assert_eq!(hash1, hash2, \"hash should be independent of key order\");\n }\n}\n","numLines":888,"startLine":1,"totalLines":888}}} +{"type":"system","subtype":"status","status":"requesting","uuid":"c7015dbb-5227-45aa-ba9f-60d19b8cf0d5","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} 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Looking at the code:\n\n1. `diff_fingerprints()` (lines 307-335): Finds divergent buckets between two fingerprints\n2. `fetch_bucket_pks()` (lines 341-392): Fetches all primary keys in a specific bucket\n3. `compare_bucket_replicas()` (lines 400-447): Compares replicas within a divergent bucket to find specific PK differences\n\nThe test file `p5_8_b_anti_entropy_diff.rs` is also comprehensive with tests covering:\n- `test_bucket_for_primary_key_deterministic`: Verifies bucket assignment is deterministic\n- `test_bucket_for_primary_key_distributes`: Verifies keys distribute across buckets\n- `test_fingerprint_shard_includes_bucket_hashes`: Verifies fingerprinting computes per-bucket hashes\n- `test_diff_fingerprints_identical`: Tests diff with identical fingerprints\n- `test_diff_fingerprints_divergent_buckets`: Tests diff with divergent buckets\n- `test_fetch_bucket_pks_filters_by_bucket`: Tests that fetch_bucket_pks only returns PKs in target bucket\n- `test_compare_bucket_replicas_no_divergence`: Tests comparing identical buckets\n- `test_compare_bucket_replicas_a_only`: Tests PK only exists on replica A\n- `test_compare_bucket_replicas_b_only`: Tests PK only exists on replica B\n- `test_compare_bucket_replicas_mismatched_content`: Tests same PK but different content\n- `test_diff_fingerprints_isolates_divergence`: Tests that divergent buckets isolate to ~0.4% of PK space\n- `test_bucket_count_constant`: Verifies BUCKET_COUNT is 256\n\nThis looks like a complete implementation. 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Let me run the tests to verify everything works correctly:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"e52d79c3-50c1-456d-add1-ae9b767d0017"} +{"type":"stream_event","event":{"type":"content_block_stop","index":1},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"cc404a19-1c09-40be-b83f-4cd44fc6d25f"} +{"type":"stream_event","event":{"type":"content_block_start","index":2,"content_block":{"type":"tool_use","id":"call_3507bbe17d53454885cc62bb","name":"Bash","input":{}}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"63fda0ee-7109-4a4b-9954-acf338ee39be"} +{"type":"stream_event","event":{"type":"content_block_delta","index":2,"delta":{"type":"input_json_delta","partial_json":"{\"command\":\"cargo test --test p5_8_b_anti_entropy_diff --lib 2>&1 | tail 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{\n183 | | let mut timer = interval(Duration::from_secs(config.sweep_interval_s));\n184 | | loop {\n185 | | timer.tick().await;\n... |\n223 | | });\n | |__________^ future created by async block is not `Send`\n |\n = help: within `{async block@crates/miroir-core/src/ttl.rs:182:22: 182:32}`, the trait `std::marker::Send` is not implemented for `impl futures_util::Future>`\nnote: future is not `Send` as it awaits another future which is not `Send`\n --> crates/miroir-core/src/ttl.rs:304:19\n |\n304 | match node_client.delete_documents_by_filter(&node_id, &node.address, &delete_req).await {\n | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ await occurs here on type `impl futures_util::Future>`, which is not `Send`\nnote: required by a bound in `tokio::spawn`\n --> /home/coding/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/tokio-1.52.1/src/task/spawn.rs:176:21\n |\n174 | pub fn spawn(future: F) -> JoinHandle\n | ----- required by a bound in this function\n175 | where\n176 | F: Future + Send + 'static,\n | ^^^^ required by this bound in `spawn`\nhelp: `std::marker::Send` can be made part of the associated future's guarantees for all implementations of `NodeClient::delete_documents_by_filter`\n --> crates/miroir-core/src/scatter.rs:287:5\n |\n287 ~ fn delete_documents_by_filter(\n288 | &self,\n...\n291 | _request: &DeleteByFilterRequest,\n292 ~ ) -> impl std::future::Future> + std::marker::Send {async {\n293 | Ok(DeleteResponse {\n...\n299 | })\n300 ~ } }\n |\n\nwarning: `miroir-core` (lib test) generated 75 warnings (49 duplicates)\nerror: could not compile `miroir-core` (lib test) due to 2 previous errors; 75 warnings emitted","is_error":false}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"b954e769-d28c-4fe0-a841-118eb032e67b","timestamp":"2026-05-23T12:42:44.701Z","tool_use_result":{"stdout":"...\n299 | })\n300 ~ } }\n |\n\nFor more information about this error, try `rustc --explain E0310`.\nwarning: `miroir-core` (lib) generated 51 warnings\nerror: could not compile `miroir-core` (lib) due to 2 previous errors; 51 warnings emitted\nwarning: build failed, waiting for other jobs to finish...\nerror: future cannot be sent between threads safely\n --> crates/miroir-core/src/ttl.rs:182:9\n |\n182 | / tokio::spawn(async move {\n183 | | let mut timer = interval(Duration::from_secs(config.sweep_interval_s));\n184 | | loop {\n185 | | timer.tick().await;\n... |\n223 | | });\n | |__________^ future created by async block is not `Send`\n |\n = help: within `{async block@crates/miroir-core/src/ttl.rs:182:22: 182:32}`, the trait `std::marker::Send` is not implemented for `impl futures_util::Future>`\nnote: future is not `Send` as it awaits another future which is not `Send`\n --> crates/miroir-core/src/ttl.rs:304:19\n |\n304 | match node_client.delete_documents_by_filter(&node_id, &node.address, &delete_req).await {\n | 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Scatter orchestration: fan-out logic and covering set builder.\n2\t\n3\tuse crate::config::UnavailableShardPolicy;\n4\tuse tracing::{instrument, info_span, Instrument};\n5\tuse crate::merger::{MergeInput, MergedSearchResult, MergeStrategy, ShardHitPage};\n6\tuse crate::router::{covering_set, covering_set_with_version_floor, query_group};\n7\tuse crate::topology::{NodeId, Topology};\n8\tuse crate::Result;\n9\tuse serde::{Deserialize, Serialize};\n10\tuse serde_json::Value;\n11\tuse std::collections::HashMap;\n12\t\n13\t/// Scatter plan: the exact shard→node mapping for a search query.\n14\t#[derive(Debug, Clone)]\n15\tpub struct ScatterPlan {\n16\t pub chosen_group: u32,\n17\t pub target_shards: Vec,\n18\t pub shard_to_node: HashMap,\n19\t pub deadline_ms: u32,\n20\t pub hedging_eligible: bool,\n21\t}\n22\t\n23\t// ---------------------------------------------------------------------------\n24\t// §15 OP#4: Global-IDF preflight (dfs_query_then_fetch pattern)\n25\t// ---------------------------------------------------------------------------\n26\t\n27\t/// Per-term document frequency from a single shard.\n28\t#[derive(Debug, Clone, Serialize, Deserialize)]\n29\tpub struct TermStats {\n30\t pub df: u64,\n31\t}\n32\t\n33\t/// Preflight request: gather term-frequency statistics from a shard.\n34\t#[derive(Debug, Clone, Serialize, Deserialize)]\n35\tpub struct PreflightRequest {\n36\t pub index_uid: String,\n37\t pub terms: Vec,\n38\t pub filter: Option,\n39\t}\n40\t\n41\t/// Response from a shard's preflight query.\n42\t#[derive(Debug, Clone, Serialize, Deserialize)]\n43\tpub struct PreflightResponse {\n44\t pub total_docs: u64,\n45\t pub avg_doc_length: f64,\n46\t pub term_stats: HashMap,\n47\t}\n48\t\n49\t/// Aggregated global term statistics after coordinator aggregation.\n50\t#[derive(Debug, Clone, Serialize, Deserialize)]\n51\tpub struct GlobalTermStats {\n52\t pub df: u64,\n53\t pub idf: f64,\n54\t}\n55\t\n56\t/// Aggregated global IDF data computed at the coordinator.\n57\t#[derive(Debug, Clone, Serialize, Deserialize)]\n58\tpub struct GlobalIdf {\n59\t pub total_docs: u64,\n60\t pub avg_doc_length: f64,\n61\t pub terms: HashMap,\n62\t}\n63\t\n64\timpl GlobalIdf {\n65\t /// Aggregate per-shard preflight responses into global IDF.\n66\t pub fn from_preflight_responses(responses: &[PreflightResponse]) -> Self {\n67\t let mut total_docs = 0u64;\n68\t let mut total_length = 0.0f64;\n69\t let mut term_df: HashMap = HashMap::new();\n70\t\n71\t for resp in responses {\n72\t total_docs += resp.total_docs;\n73\t total_length += resp.avg_doc_length * resp.total_docs as f64;\n74\t for (term, stats) in &resp.term_stats {\n75\t *term_df.entry(term.clone()).or_insert(0) += stats.df;\n76\t }\n77\t }\n78\t\n79\t let avg_doc_length = if total_docs > 0 {\n80\t total_length / total_docs as f64\n81\t } else {\n82\t 0.0\n83\t };\n84\t\n85\t let n = total_docs as f64;\n86\t let terms = term_df\n87\t .into_iter()\n88\t .map(|(term, df)| {\n89\t let idf = if df == 0 {\n90\t 0.0\n91\t } else {\n92\t ((n - df as f64 + 0.5) / (df as f64 + 0.5)).ln() + 1.0\n93\t };\n94\t (term, GlobalTermStats { df, idf })\n95\t })\n96\t .collect();\n97\t\n98\t Self { total_docs, avg_doc_length, terms }\n99\t }\n100\t}\n101\t\n102\t// ---------------------------------------------------------------------------\n103\t// NodeClient trait\n104\t// ---------------------------------------------------------------------------\n105\t\n106\t// ---------------------------------------------------------------------------\n107\t// Write path: document operations (P2.2)\n108\t// ---------------------------------------------------------------------------\n109\t\n110\t/// Request to add/replace documents on a node.\n111\t#[derive(Debug, Clone, Serialize, Deserialize)]\n112\tpub struct WriteRequest {\n113\t pub index_uid: String,\n114\t pub documents: Vec,\n115\t pub primary_key: Option,\n116\t /// Internal origin tag for CDC event suppression (plan §13.13).\n117\t /// - None = client write (always emitted to CDC)\n118\t /// - Some(\"antientropy\") = anti-entropy repair write (suppressed unless emit_internal_writes)\n119\t /// - Some(\"reshard_backfill\") = reshard backfill write (suppressed unless emit_internal_writes)\n120\t /// - Some(\"rollover\") = ILM rollover write (suppressed unless emit_internal_writes)\n121\t /// - Some(\"ttl_expire\") = TTL expiration delete (suppressed unless emit_ttl_deletes)\n122\t ///\n123\t /// This field is NEVER stored on documents and never returned to clients.\n124\t #[serde(skip_serializing_if = \"Option::is_none\")]\n125\t pub origin: Option,\n126\t}\n127\t\n128\t/// Response from a single node's document write operation.\n129\t#[derive(Debug, Clone, Serialize, Deserialize)]\n130\tpub struct WriteResponse {\n131\t pub success: bool,\n132\t pub task_uid: Option,\n133\t pub message: Option,\n134\t pub code: Option,\n135\t pub error_type: Option,\n136\t}\n137\t\n138\t/// Request to delete documents by IDs.\n139\t#[derive(Debug, Clone, Serialize, Deserialize)]\n140\tpub struct DeleteByIdsRequest {\n141\t pub index_uid: String,\n142\t pub ids: Vec,\n143\t /// Internal origin tag for CDC event suppression (plan §13.13).\n144\t #[serde(skip_serializing_if = \"Option::is_none\")]\n145\t pub origin: Option,\n146\t}\n147\t\n148\t/// Request to delete all documents matching a filter.\n149\t#[derive(Debug, Clone, Serialize, Deserialize)]\n150\tpub struct DeleteByFilterRequest {\n151\t pub index_uid: String,\n152\t pub filter: Value,\n153\t /// Internal origin tag for CDC event suppression (plan §13.13).\n154\t #[serde(skip_serializing_if = \"Option::is_none\")]\n155\t pub origin: Option,\n156\t}\n157\t\n158\t/// Response from a delete operation.\n159\tpub type DeleteResponse = WriteResponse;\n160\t\n161\t/// Request to fetch documents with a filter (used for shard migration).\n162\t#[derive(Debug, Clone, Serialize, Deserialize)]\n163\tpub struct FetchDocumentsRequest {\n164\t pub index_uid: String,\n165\t pub filter: Value,\n166\t pub limit: u32,\n167\t pub offset: u32,\n168\t}\n169\t\n170\t/// Response from a fetch documents operation.\n171\t#[derive(Debug, Clone, Serialize, Deserialize)]\n172\tpub struct FetchDocumentsResponse {\n173\t pub results: Vec,\n174\t pub limit: u32,\n175\t pub offset: u32,\n176\t pub total: u64,\n177\t}\n178\t\n179\t/// Request to get task status from a node.\n180\t#[derive(Debug, Clone, Serialize, Deserialize)]\n181\tpub struct TaskStatusRequest {\n182\t /// The task UID to query\n183\t pub task_uid: u64,\n184\t}\n185\t\n186\t/// Response from a single node's task status query.\n187\t#[derive(Debug, Clone, Serialize, Deserialize)]\n188\tpub struct TaskStatusResponse {\n189\t /// The task UID\n190\t pub task_uid: u64,\n191\t /// Current task status\n192\t pub status: String,\n193\t /// Error message if failed\n194\t pub error: Option,\n195\t /// Error type if failed\n196\t #[serde(rename = \"type\")]\n197\t pub error_type: Option,\n198\t}\n199\t\n200\timpl TaskStatusResponse {\n201\t /// Convert Meilisearch status string to NodeTaskStatus.\n202\t pub fn to_node_status(&self) -> crate::task::NodeTaskStatus {\n203\t match self.status.as_str() {\n204\t \"enqueued\" => crate::task::NodeTaskStatus::Enqueued,\n205\t \"processing\" => crate::task::NodeTaskStatus::Processing,\n206\t \"succeeded\" => crate::task::NodeTaskStatus::Succeeded,\n207\t \"failed\" => crate::task::NodeTaskStatus::Failed,\n208\t _ => crate::task::NodeTaskStatus::Enqueued,\n209\t }\n210\t }\n211\t}\n212\t\n213\t// ---------------------------------------------------------------------------\n214\t// NodeClient trait\n215\t// ---------------------------------------------------------------------------\n216\t\n217\t/// HTTP client for communicating with a Meilisearch node.\n218\t#[allow(async_fn_in_trait)]\n219\tpub trait NodeClient: Send + Sync {\n220\t async fn search_node(\n221\t &self,\n222\t node: &NodeId,\n223\t address: &str,\n224\t request: &SearchRequest,\n225\t ) -> std::result::Result;\n226\t\n227\t /// Execute a preflight request (OP#4 global-IDF phase).\n228\t async fn preflight_node(\n229\t &self,\n230\t _node: &NodeId,\n231\t _address: &str,\n232\t _request: &PreflightRequest,\n233\t ) -> std::result::Result {\n234\t Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\n235\t }\n236\t\n237\t /// Write documents to a node (add/replace).\n238\t async fn write_documents(\n239\t &self,\n240\t _node: &NodeId,\n241\t _address: &str,\n242\t _request: &WriteRequest,\n243\t ) -> std::result::Result {\n244\t Ok(WriteResponse {\n245\t success: false,\n246\t task_uid: None,\n247\t message: Some(\"not implemented\".to_string()),\n248\t code: None,\n249\t error_type: None,\n250\t })\n251\t }\n252\t\n253\t /// Get task status from a node.\n254\t fn get_task_status(\n255\t &self,\n256\t _node: &NodeId,\n257\t _address: &str,\n258\t _request: &TaskStatusRequest,\n259\t ) -> impl std::future::Future> + Send {\n260\t async move {\n261\t Ok(TaskStatusResponse {\n262\t task_uid: _request.task_uid,\n263\t status: \"succeeded\".to_string(),\n264\t error: None,\n265\t error_type: None,\n266\t })\n267\t }\n268\t }\n269\t\n270\t /// Delete documents by IDs from a node.\n271\t async fn delete_documents(\n272\t &self,\n273\t _node: &NodeId,\n274\t _address: &str,\n275\t _request: &DeleteByIdsRequest,\n276\t ) -> std::result::Result {\n277\t Ok(DeleteResponse {\n278\t success: false,\n279\t task_uid: None,\n280\t message: Some(\"not implemented\".to_string()),\n281\t code: None,\n282\t error_type: None,\n283\t })\n284\t }\n285\t\n286\t /// Delete all documents matching a filter from a node.\n287\t async fn delete_documents_by_filter(\n288\t &self,\n289\t _node: &NodeId,\n290\t _address: &str,\n291\t _request: &DeleteByFilterRequest,\n292\t ) -> std::result::Result {\n293\t Ok(DeleteResponse {\n294\t success: false,\n295\t task_uid: None,\n296\t message: Some(\"not implemented\".to_string()),\n297\t code: None,\n298\t error_type: None,\n299\t })\n300\t }\n301\t\n302\t /// Fetch documents with a filter from a node (used for shard migration).\n303\t async fn fetch_documents(\n304\t &self,\n305\t _node: &NodeId,\n306\t _address: &str,\n307\t _request: &FetchDocumentsRequest,\n308\t ) -> std::result::Result {\n309\t Ok(FetchDocumentsResponse {\n310\t results: Vec::new(),\n311\t limit: _request.limit,\n312\t offset: _request.offset,\n313\t total: 0,\n314\t })\n315\t }\n316\t}\n317\t\n318\t#[derive(Debug, Clone)]\n319\tpub enum NodeError {\n320\t Timeout,\n321\t HttpError { status: u16, body: String },\n322\t NetworkError(String),\n323\t}\n324\t\n325\t#[derive(Debug, Clone)]\n326\tpub struct SearchRequest {\n327\t pub index_uid: String,\n328\t pub query: Option,\n329\t pub offset: usize,\n330\t pub limit: usize,\n331\t pub filter: Option,\n332\t pub facets: Option>,\n333\t pub ranking_score: bool,\n334\t pub body: Value,\n335\t /// Global IDF data from the preflight phase (OP#4).\n336\t pub global_idf: Option,\n337\t}\n338\t\n339\timpl SearchRequest {\n340\t /// Build the request body for sending to a node.\n341\t ///\n342\t /// Injects `showRankingScore: true` unconditionally so the merger can global-sort.\n343\t /// Each node receives `offset + limit` results to ensure the coordinator has enough\n344\t /// data to apply pagination.\n345\t pub fn to_node_body(&self) -> Value {\n346\t let mut body = self.body.clone();\n347\t\n348\t // Inject showRankingScore: true unconditionally for global sorting\n349\t body[\"showRankingScore\"] = serde_json::json!(true);\n350\t\n351\t // Set limit to offset + limit so we get enough results for pagination\n352\t // (coordinator applies final offset/limit after merging)\n353\t body[\"limit\"] = serde_json::json!(self.offset + self.limit);\n354\t\n355\t // Set offset to 0 on individual nodes (coordinator handles offset)\n356\t body[\"offset\"] = serde_json::json!(0);\n357\t\n358\t // Ensure query is set\n359\t if let Some(q) = &self.query {\n360\t body[\"q\"] = serde_json::json!(q);\n361\t }\n362\t\n363\t // Ensure filter is set if provided\n364\t if let Some(filter) = &self.filter {\n365\t body[\"filter\"] = filter.clone();\n366\t }\n367\t\n368\t // Ensure facets are set if provided\n369\t if let Some(facets) = &self.facets {\n370\t body[\"facets\"] = serde_json::json!(facets);\n371\t }\n372\t\n373\t body\n374\t }\n375\t}\n376\t\n377\t#[derive(Debug)]\n378\tpub struct ScatterResult {\n379\t pub shard_pages: Vec,\n380\t pub failed_shards: HashMap,\n381\t pub partial: bool,\n382\t pub deadline_exceeded: bool,\n383\t}\n384\t\n385\t#[instrument(skip_all, fields(query_seq, rf, shard_count))]\n386\tpub fn plan_search_scatter(\n387\t topology: &Topology,\n388\t query_seq: u64,\n389\t rf: usize,\n390\t shard_count: u32,\n391\t) -> ScatterPlan {\n392\t let chosen_group = query_group(query_seq, topology.replica_group_count());\n393\t\n394\t let group = match topology.group(chosen_group) {\n395\t Some(g) => g,\n396\t None => {\n397\t return ScatterPlan {\n398\t chosen_group, target_shards: Vec::new(),\n399\t shard_to_node: HashMap::new(), deadline_ms: 0, hedging_eligible: false,\n400\t };\n401\t }\n402\t };\n403\t\n404\t let _covering = covering_set(shard_count, group, rf, query_seq);\n405\t\n406\t let mut shard_to_node = HashMap::new();\n407\t for shard_id in 0..shard_count {\n408\t let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n409\t let selected = replicas[(query_seq as usize) % replicas.len()].clone();\n410\t shard_to_node.insert(shard_id, selected);\n411\t }\n412\t\n413\t ScatterPlan {\n414\t chosen_group,\n415\t target_shards: (0..shard_count).collect(),\n416\t shard_to_node,\n417\t deadline_ms: 5000,\n418\t hedging_eligible: group.node_count() > 1,\n419\t }\n420\t}\n421\t\n422\t/// Plan search scatter with settings version floor filtering (plan §13.5).\n423\t///\n424\t/// Excludes nodes whose settings version for the given index is below `floor`.\n425\t/// Returns None if no covering set can be assembled (caller should return 503).\n426\tpub fn plan_search_scatter_with_version_floor(\n427\t topology: &Topology,\n428\t query_seq: u64,\n429\t rf: usize,\n430\t shard_count: u32,\n431\t index: &str,\n432\t floor: u64,\n433\t version_checker: &impl Fn(&str, &str) -> u64,\n434\t) -> Option {\n435\t let chosen_group = query_group(query_seq, topology.replica_group_count());\n436\t\n437\t let group = topology.group(chosen_group)?;\n438\t\n439\t let covering = covering_set_with_version_floor(\n440\t shard_count,\n441\t group,\n442\t rf,\n443\t query_seq,\n444\t index,\n445\t floor,\n446\t version_checker,\n447\t )?;\n448\t\n449\t let mut shard_to_node = HashMap::new();\n450\t for shard_id in 0..shard_count {\n451\t let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n452\t // Filter by version floor, then rotate by query_seq\n453\t let eligible: Vec<_> = replicas\n454\t .iter()\n455\t .filter(|node_id| {\n456\t let version = version_checker(index, node_id.as_str());\n457\t version >= floor\n458\t })\n459\t .collect();\n460\t\n461\t if eligible.is_empty() {\n462\t return None;\n463\t }\n464\t\n465\t let selected = eligible[query_seq as usize % eligible.len()];\n466\t shard_to_node.insert(shard_id, selected.clone());\n467\t }\n468\t\n469\t Some(ScatterPlan {\n470\t chosen_group,\n471\t target_shards: (0..shard_count).collect(),\n472\t shard_to_node,\n473\t deadline_ms: 5000,\n474\t hedging_eligible: group.node_count() > 1,\n475\t })\n476\t}\n477\t\n478\t/// Plan search scatter for a specific replica group (plan §13.6 session pinning).\n479\t///\n480\t/// Used when a session has a pending write and needs to read from the pinned group\n481\t/// to ensure read-your-writes consistency.\n482\tpub fn plan_search_scatter_for_group(\n483\t topology: &Topology,\n484\t query_seq: u64,\n485\t rf: usize,\n486\t shard_count: u32,\n487\t pinned_group: u32,\n488\t) -> Option {\n489\t let group = topology.group(pinned_group)?;\n490\t\n491\t let mut shard_to_node = HashMap::new();\n492\t for shard_id in 0..shard_count {\n493\t let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n494\t if replicas.is_empty() {\n495\t continue;\n496\t }\n497\t let selected = replicas[query_seq as usize % replicas.len()].clone();\n498\t shard_to_node.insert(shard_id, selected);\n499\t }\n500\t\n501\t Some(ScatterPlan {\n502\t chosen_group: pinned_group,\n503\t target_shards: (0..shard_count).collect(),\n504\t shard_to_node,\n505\t deadline_ms: 5000,\n506\t hedging_eligible: group.node_count() > 1,\n507\t })\n508\t}\n509\t\n510\t#[instrument(skip_all, fields(node_count))]\n511\tpub async fn execute_scatter(\n512\t plan: ScatterPlan,\n513\t client: &C,\n514\t req: SearchRequest,\n515\t topology: &Topology,\n516\t policy: UnavailableShardPolicy,\n517\t) -> Result {\n518\t let mut node_to_shards: HashMap> = HashMap::new();\n519\t for (&shard_id, node_id) in &plan.shard_to_node {\n520\t if plan.target_shards.contains(&shard_id) {\n521\t node_to_shards.entry(node_id.clone()).or_default().push(shard_id);\n522\t }\n523\t }\n524\t tracing::Span::current().record(\"node_count\", node_to_shards.len());\n525\t\n526\t let mut shard_pages = Vec::new();\n527\t let mut failed_shards = HashMap::new();\n528\t let mut deadline_exceeded = false;\n529\t\n530\t let mut tasks = Vec::new();\n531\t for (node_id, shards) in node_to_shards {\n532\t let node = match topology.node(&node_id) {\n533\t Some(n) => n.clone(),\n534\t None => {\n535\t for shard_id in shards {\n536\t failed_shards.insert(shard_id, NodeError::NetworkError(\"node not in topology\".to_string()));\n537\t }\n538\t continue;\n539\t }\n540\t };\n541\t let client_ref = client;\n542\t let req_clone = req.clone();\n543\t let node_id_clone = node_id.clone();\n544\t let shard_count = shards.len();\n545\t // Create a span for this node's scatter call\n546\t let span = info_span!(\n547\t \"scatter_node\",\n548\t node_id = %node_id_clone,\n549\t address = %node.address,\n550\t shard_count = shard_count,\n551\t );\n552\t tasks.push(async move {\n553\t let result = client_ref.search_node(&node_id_clone, &node.address, &req_clone).await;\n554\t (node_id_clone, shards, result)\n555\t }.instrument(span));\n556\t }\n557\t\n558\t let results = futures_util::future::join_all(tasks).await;\n559\t\n560\t for (_node_id, shards, result) in results {\n561\t match result {\n562\t Ok(body) => {\n563\t for _shard_id in shards {\n564\t shard_pages.push(ShardHitPage { body: body.clone() });\n565\t }\n566\t }\n567\t Err(NodeError::Timeout) => {\n568\t deadline_exceeded = true;\n569\t for shard_id in shards { failed_shards.insert(shard_id, NodeError::Timeout); }\n570\t }\n571\t Err(e) => {\n572\t for shard_id in shards { failed_shards.insert(shard_id, e.clone()); }\n573\t }\n574\t }\n575\t }\n576\t\n577\t let partial = !failed_shards.is_empty();\n578\t\n579\t match policy {\n580\t UnavailableShardPolicy::Error => {\n581\t if !failed_shards.is_empty() {\n582\t return Err(crate::error::MiroirError::Routing(format!(\"{} shard(s) unavailable\", failed_shards.len())));\n583\t }\n584\t }\n585\t UnavailableShardPolicy::Partial => {}\n586\t UnavailableShardPolicy::Fallback => {\n587\t // Group-unavailability fallback: try other replica groups for failed shards\n588\t if !failed_shards.is_empty() {\n589\t let mut fallback_pages = Vec::new();\n590\t let mut remaining_failed = HashMap::new();\n591\t\n592\t for (&shard_id, error) in &failed_shards {\n593\t let mut fallback_succeeded = false;\n594\t\n595\t // Try each other replica group\n596\t for group_id in 0..topology.replica_group_count() {\n597\t if group_id == plan.chosen_group {\n598\t continue; // Skip the already-tried group\n599\t }\n600\t\n601\t if let Some(group) = topology.group(group_id) {\n602\t let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), topology.rf());\n603\t if replicas.is_empty() {\n604\t continue;\n605\t }\n606\t\n607\t // Try each replica in the fallback group\n608\t for node_id in replicas {\n609\t if let Some(node) = topology.node(&node_id) {\n610\t match client.search_node(&node_id, &node.address, &req).await {\n611\t Ok(body) => {\n612\t fallback_pages.push(ShardHitPage { body });\n613\t fallback_succeeded = true;\n614\t break;\n615\t }\n616\t Err(_) => {\n617\t continue; // Try next replica\n618\t }\n619\t }\n620\t }\n621\t }\n622\t\n623\t if fallback_succeeded {\n624\t break; // Found a working replica\n625\t }\n626\t }\n627\t }\n628\t\n629\t if !fallback_succeeded {\n630\t remaining_failed.insert(shard_id, error.clone());\n631\t }\n632\t }\n633\t\n634\t // Merge fallback results\n635\t shard_pages.extend(fallback_pages);\n636\t\n637\t // Update failed_shards with only those that truly failed\n638\t if remaining_failed.is_empty() {\n639\t // All shards succeeded via fallback\n640\t return Ok(ScatterResult {\n641\t shard_pages,\n642\t failed_shards: HashMap::new(),\n643\t partial: false,\n644\t deadline_exceeded,\n645\t });\n646\t } else {\n647\t // Some shards still failed\n648\t failed_shards = remaining_failed;\n649\t }\n650\t }\n651\t }\n652\t }\n653\t\n654\t Ok(ScatterResult { shard_pages, failed_shards, partial, deadline_exceeded })\n655\t}\n656\t\n657\t#[instrument(skip_all, fields(index = %req.index_uid))]\n658\tpub async fn scatter_gather_search(\n659\t plan: ScatterPlan,\n660\t client: &C,\n661\t req: SearchRequest,\n662\t topology: &Topology,\n663\t policy: UnavailableShardPolicy,\n664\t strategy: &dyn MergeStrategy,\n665\t) -> Result {\n666\t let scatter_result = execute_scatter(plan, client, req.clone(), topology, policy).await?;\n667\t\n668\t let mut shard_pages = scatter_result.shard_pages;\n669\t if scatter_result.partial {\n670\t for shard_id in scatter_result.failed_shards.keys() {\n671\t shard_pages.push(ShardHitPage {\n672\t body: serde_json::json!({\"success\": false, \"message\": format!(\"shard {} unavailable\", shard_id)}),\n673\t });\n674\t }\n675\t }\n676\t\n677\t // Collect failed shard IDs for the X-Miroir-Degraded header\n678\t let failed_shards: Vec = scatter_result.failed_shards.keys().copied().collect();\n679\t\n680\t let merge_input = MergeInput {\n681\t shard_hits: shard_pages,\n682\t offset: req.offset,\n683\t limit: req.limit,\n684\t client_requested_score: req.ranking_score,\n685\t facets: req.facets.clone(),\n686\t failed_shards,\n687\t };\n688\t\n689\t // Span for the merge operation\n690\t let _span = info_span!(\n691\t \"merge\",\n692\t shard_count = merge_input.shard_hits.len(),\n693\t offset = req.offset,\n694\t limit = req.limit,\n695\t ).entered();\n696\t\n697\t strategy.merge(merge_input)\n698\t}\n699\t\n700\t// ---------------------------------------------------------------------------\n701\t// OP#4: Global-IDF preflight execution\n702\t// ---------------------------------------------------------------------------\n703\t\n704\t/// Extract unique query terms from a search query string.\n705\tpub fn extract_query_terms(query: &Option) -> Vec {\n706\t match query {\n707\t Some(q) if !q.is_empty() => {\n708\t let mut seen = std::collections::HashSet::new();\n709\t let mut terms = Vec::new();\n710\t for term in q.split_whitespace() {\n711\t let lower = term.to_lowercase();\n712\t if seen.insert(lower.clone()) { terms.push(lower); }\n713\t }\n714\t terms\n715\t }\n716\t _ => Vec::new(),\n717\t }\n718\t}\n719\t\n720\t/// Execute the preflight phase: gather term frequencies from all shards.\n721\t#[instrument(skip_all, fields(node_count, term_count = req.terms.len()))]\n722\tpub async fn execute_preflight(\n723\t plan: &ScatterPlan,\n724\t client: &C,\n725\t req: &PreflightRequest,\n726\t topology: &Topology,\n727\t) -> Result {\n728\t if req.terms.is_empty() {\n729\t return Ok(GlobalIdf { total_docs: 0, avg_doc_length: 0.0, terms: HashMap::new() });\n730\t }\n731\t\n732\t let mut node_to_shards: HashMap> = HashMap::new();\n733\t for (&shard_id, node_id) in &plan.shard_to_node {\n734\t if plan.target_shards.contains(&shard_id) {\n735\t node_to_shards.entry(node_id.clone()).or_default().push(shard_id);\n736\t }\n737\t }\n738\t\n739\t let mut tasks = Vec::new();\n740\t for (node_id, _) in node_to_shards {\n741\t let node = match topology.node(&node_id) {\n742\t Some(n) => n.clone(),\n743\t None => continue,\n744\t };\n745\t let client_ref = client;\n746\t let req_clone = req.clone();\n747\t let nid = node_id.clone();\n748\t tasks.push(async move { client_ref.preflight_node(&nid, &node.address, &req_clone).await });\n749\t }\n750\t\n751\t let results = futures_util::future::join_all(tasks).await;\n752\t let responses: Vec = results.into_iter().filter_map(|r| r.ok()).collect();\n753\t Ok(GlobalIdf::from_preflight_responses(&responses))\n754\t}\n755\t\n756\t/// Execute a full dfs_query_then_fetch search (OP#4 global-IDF preflight).\n757\t#[instrument(skip_all, fields(index = %req.index_uid))]\n758\tpub async fn dfs_query_then_fetch_search(\n759\t plan: ScatterPlan,\n760\t client: &C,\n761\t req: SearchRequest,\n762\t topology: &Topology,\n763\t policy: UnavailableShardPolicy,\n764\t strategy: &dyn MergeStrategy,\n765\t) -> Result {\n766\t let preflight_req = PreflightRequest {\n767\t index_uid: req.index_uid.clone(),\n768\t terms: extract_query_terms(&req.query),\n769\t filter: req.filter.clone(),\n770\t };\n771\t let global_idf = execute_preflight(&plan, client, &preflight_req, topology).await?;\n772\t let mut search_req = req;\n773\t search_req.global_idf = Some(global_idf);\n774\t scatter_gather_search(plan, client, search_req, topology, policy, strategy).await\n775\t}\n776\t\n777\t// ---------------------------------------------------------------------------\n778\t// Mock client\n779\t// ---------------------------------------------------------------------------\n780\t\n781\t#[derive(Debug, Clone, Default)]\n782\tpub struct MockNodeClient {\n783\t pub responses: HashMap,\n784\t pub preflight_responses: HashMap,\n785\t pub errors: HashMap,\n786\t pub delay_ms: u64,\n787\t}\n788\t\n789\timpl NodeClient for MockNodeClient {\n790\t async fn search_node(\n791\t &self, node: &NodeId, _address: &str, _request: &SearchRequest,\n792\t ) -> std::result::Result {\n793\t let _ = self.delay_ms;\n794\t if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n795\t Ok(self.responses.get(node).cloned().unwrap_or_else(|| {\n796\t serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})\n797\t }))\n798\t }\n799\t\n800\t async fn preflight_node(\n801\t &self, node: &NodeId, _address: &str, _request: &PreflightRequest,\n802\t ) -> std::result::Result {\n803\t if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n804\t Ok(self.preflight_responses.get(node).cloned().unwrap_or_else(|| {\n805\t PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }\n806\t }))\n807\t }\n808\t\n809\t async fn write_documents(\n810\t &self, node: &NodeId, _address: &str, _request: &WriteRequest,\n811\t ) -> std::result::Result {\n812\t if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n813\t Ok(WriteResponse {\n814\t success: true,\n815\t task_uid: Some(1),\n816\t message: None,\n817\t code: None,\n818\t error_type: None,\n819\t })\n820\t }\n821\t\n822\t async fn delete_documents(\n823\t &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\n824\t ) -> std::result::Result {\n825\t if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n826\t Ok(DeleteResponse {\n827\t success: true,\n828\t task_uid: Some(1),\n829\t message: None,\n830\t code: None,\n831\t error_type: None,\n832\t })\n833\t }\n834\t\n835\t async fn delete_documents_by_filter(\n836\t &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\n837\t ) -> std::result::Result {\n838\t if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n839\t Ok(DeleteResponse {\n840\t success: true,\n841\t task_uid: Some(1),\n842\t message: None,\n843\t code: None,\n844\t error_type: None,\n845\t })\n846\t }\n847\t\n848\t async fn fetch_documents(\n849\t &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\n850\t ) -> std::result::Result {\n851\t if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n852\t Ok(FetchDocumentsResponse {\n853\t results: Vec::new(),\n854\t limit: request.limit,\n855\t offset: request.offset,\n856\t total: 0,\n857\t })\n858\t }\n859\t\n860\t fn get_task_status(\n861\t &self,\n862\t node: &NodeId,\n863\t _address: &str,\n864\t _request: &TaskStatusRequest,\n865\t ) -> impl std::future::Future> + Send {\n866\t let node = node.clone();\n867\t let task_uid = _request.task_uid;\n868\t let error = self.errors.get(&node).cloned();\n869\t async move {\n870\t if let Some(err) = error {\n871\t return Err(err);\n872\t }\n873\t Ok(TaskStatusResponse {\n874\t task_uid,\n875\t status: \"succeeded\".to_string(),\n876\t error: None,\n877\t error_type: None,\n878\t })\n879\t }\n880\t }\n881\t}\n882\t\n883\t#[cfg(test)]\n884\tmod tests {\n885\t use super::*;\n886\t use crate::topology::{Node, NodeId};\n887\t\n888\t fn make_test_topology() -> Topology {\n889\t let mut topo = Topology::new(64, 2, 2);\n890\t for i in 0u32..6 {\n891\t let rg = if i < 3 { 0 } else { 1 };\n892\t let mut node = Node::new(NodeId::new(format!(\"node-{i}\")), format!(\"http://node-{i}:7700\"), rg);\n893\t node.status = crate::topology::NodeStatus::Active;\n894\t topo.add_node(node);\n895\t }\n896\t topo\n897\t }\n898\t\n899\t fn make_req() -> SearchRequest {\n900\t SearchRequest {\n901\t index_uid: \"test\".into(), query: Some(\"test\".into()),\n902\t offset: 0, limit: 10, filter: None, facets: None,\n903\t ranking_score: false, body: serde_json::json!({}), global_idf: None,\n904\t }\n905\t }\n906\t\n907\t #[test]\n908\t fn test_plan_pure_function() {\n909\t let topo = make_test_topology();\n910\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n911\t assert_eq!(plan.chosen_group, 0);\n912\t assert_eq!(plan.target_shards.len(), 64);\n913\t assert!(plan.hedging_eligible);\n914\t }\n915\t\n916\t #[test]\n917\t fn test_plan_group_rotation() {\n918\t let topo = make_test_topology();\n919\t assert_eq!(plan_search_scatter(&topo, 0, 2, 64).chosen_group, 0);\n920\t assert_eq!(plan_search_scatter(&topo, 1, 2, 64).chosen_group, 1);\n921\t }\n922\t\n923\t #[test]\n924\t fn test_plan_shard_mapping() {\n925\t let topo = make_test_topology();\n926\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n927\t for s in 0..64 { assert!(plan.shard_to_node.contains_key(&s)); }\n928\t let g0 = topo.group(0).unwrap();\n929\t for (_, nid) in &plan.shard_to_node { assert!(g0.nodes().contains(nid)); }\n930\t }\n931\t\n932\t #[test]\n933\t fn test_plan_hedging() {\n934\t let mut topo = Topology::new(64, 1, 1);\n935\t topo.add_node(Node::new(NodeId::new(\"n0\".into()), \"http://n0:7700\".into(), 0));\n936\t assert!(!plan_search_scatter(&topo, 0, 1, 64).hedging_eligible);\n937\t assert!(plan_search_scatter(&make_test_topology(), 0, 2, 64).hedging_eligible);\n938\t }\n939\t\n940\t #[tokio::test]\n941\t async fn test_scatter_mock() {\n942\t let topo = make_test_topology();\n943\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n944\t let mut c = MockNodeClient::default();\n945\t c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"doc1\"}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n946\t let r = execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial).await.unwrap();\n947\t assert!(!r.partial);\n948\t assert_eq!(r.shard_pages.len(), 64);\n949\t }\n950\t\n951\t #[tokio::test]\n952\t async fn test_scatter_partial() {\n953\t let topo = make_test_topology();\n954\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n955\t let mut c = MockNodeClient::default();\n956\t c.errors.insert(NodeId::new(\"node-0\".into()), NodeError::Timeout);\n957\t let r = execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial).await.unwrap();\n958\t assert!(r.partial);\n959\t }\n960\t\n961\t #[tokio::test]\n962\t async fn test_scatter_error_policy() {\n963\t let topo = make_test_topology();\n964\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n965\t let mut c = MockNodeClient::default();\n966\t c.errors.insert(NodeId::new(\"node-0\".into()), NodeError::Timeout);\n967\t assert!(execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Error).await.is_err());\n968\t }\n969\t\n970\t #[test]\n971\t fn test_plan_invalid_group() {\n972\t assert!(plan_search_scatter(&Topology::new(64, 0, 1), 0, 1, 64).shard_to_node.is_empty());\n973\t }\n974\t\n975\t #[tokio::test]\n976\t async fn test_scatter_node_not_in_topo() {\n977\t let topo = make_test_topology();\n978\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n979\t let r = execute_scatter(plan, &MockNodeClient::default(), make_req(), &Topology::new(64, 2, 2), UnavailableShardPolicy::Partial).await.unwrap();\n980\t assert!(r.partial);\n981\t }\n982\t\n983\t #[tokio::test]\n984\t async fn test_sg_rrf() {\n985\t let topo = make_test_topology();\n986\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n987\t let mut c = MockNodeClient::default();\n988\t c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\", \"_rankingScore\": 0.9}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n989\t let s = crate::merger::RrfStrategy::default_strategy();\n990\t let r = scatter_gather_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap();\n991\t assert!(!r.degraded);\n992\t }\n993\t\n994\t #[tokio::test]\n995\t async fn test_sg_degraded() {\n996\t let topo = make_test_topology();\n997\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n998\t let mut c = MockNodeClient::default();\n999\t c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\"}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n1000\t c.errors.insert(NodeId::new(\"node-2\".into()), NodeError::Timeout);\n1001\t let s = crate::merger::RrfStrategy::default_strategy();\n1002\t assert!(scatter_gather_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap().degraded);\n1003\t }\n1004\t\n1005\t #[test]\n1006\t fn test_extract_query_terms() {\n1007\t assert_eq!(extract_query_terms(&Some(\"hello world hello\".into())), vec![\"hello\", \"world\"]);\n1008\t assert!(extract_query_terms(&None).is_empty());\n1009\t }\n1010\t\n1011\t #[test]\n1012\t fn test_global_idf_aggregation() {\n1013\t let resp = vec![\n1014\t PreflightResponse { total_docs: 50000, avg_doc_length: 50.0, term_stats: HashMap::from([(\"a\".into(), TermStats { df: 5000 })]) },\n1015\t PreflightResponse { total_docs: 50000, avg_doc_length: 60.0, term_stats: HashMap::from([(\"a\".into(), TermStats { df: 4500 })]) },\n1016\t ];\n1017\t let g = GlobalIdf::from_preflight_responses(&resp);\n1018\t assert_eq!(g.total_docs, 100000);\n1019\t assert!((g.avg_doc_length - 55.0).abs() < 0.001);\n1020\t assert_eq!(g.terms.get(\"a\").unwrap().df, 9500);\n1021\t }\n1022\t\n1023\t #[test]\n1024\t fn test_global_idf_empty() {\n1025\t let g = GlobalIdf::from_preflight_responses(&[]);\n1026\t assert_eq!(g.total_docs, 0);\n1027\t assert!(g.terms.is_empty());\n1028\t }\n1029\t\n1030\t #[tokio::test]\n1031\t async fn test_execute_preflight() {\n1032\t let topo = make_test_topology();\n1033\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n1034\t let mut c = MockNodeClient::default();\n1035\t c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n1036\t total_docs: 30000, avg_doc_length: 50.0,\n1037\t term_stats: HashMap::from([(\"search\".into(), TermStats { df: 3000 })]),\n1038\t });\n1039\t c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n1040\t total_docs: 30000, avg_doc_length: 55.0,\n1041\t term_stats: HashMap::from([(\"search\".into(), TermStats { df: 2500 })]),\n1042\t });\n1043\t c.preflight_responses.insert(NodeId::new(\"node-2\".into()), PreflightResponse {\n1044\t total_docs: 40000, avg_doc_length: 52.0,\n1045\t term_stats: HashMap::from([(\"search\".into(), TermStats { df: 4000 })]),\n1046\t });\n1047\t let req = PreflightRequest { index_uid: \"test\".into(), terms: vec![\"search\".into()], filter: None };\n1048\t let g = execute_preflight(&plan, &c, &req, &topo).await.unwrap();\n1049\t assert_eq!(g.total_docs, 100000);\n1050\t assert_eq!(g.terms.get(\"search\").unwrap().df, 9500);\n1051\t }\n1052\t\n1053\t #[tokio::test]\n1054\t async fn test_dfs_query_then_fetch() {\n1055\t let topo = make_test_topology();\n1056\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n1057\t let mut c = MockNodeClient::default();\n1058\t c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\", \"_rankingScore\": 0.9}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n1059\t c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n1060\t total_docs: 50000, avg_doc_length: 50.0,\n1061\t term_stats: HashMap::from([(\"test\".into(), TermStats { df: 500 })]),\n1062\t });\n1063\t let s = crate::merger::RrfStrategy::default_strategy();\n1064\t let r = dfs_query_then_fetch_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap();\n1065\t assert!(!r.degraded);\n1066\t assert!(!r.hits.is_empty());\n1067\t }\n1068\t\n1069\t /// Integration test for dfs_query_then_fetch with severely skewed shard distribution.\n1070\t ///\n1071\t /// This test simulates the scenario described in miroir-yio:\n1072\t /// - Shard 0: Normal (1,000 docs, term df = 100)\n1073\t /// - Shard 1: 100x normal (100,000 docs, term df = 10,000)\n1074\t /// - Shard 2: Near-empty (10 docs, term df = 1)\n1075\t ///\n1076\t /// Without global IDF preflight, each shard would compute different local IDF values:\n1077\t /// - Shard 0: IDF ≈ log((1000 - 100 + 0.5) / (100 + 0.5)) + 1 ≈ 2.3\n1078\t /// - Shard 1: IDF ≈ log((100000 - 10000 + 0.5) / (10000 + 0.5)) + 1 ≈ 2.3\n1079\t /// - Shard 2: IDF ≈ log((10 - 1 + 0.5) / (1 + 0.5)) + 1 ≈ 2.8\n1080\t ///\n1081\t /// With global IDF preflight, all shards use the same IDF:\n1082\t /// - Global: N = 101,010, df = 10,101\n1083\t /// - IDF ≈ log((101010 - 10101 + 0.5) / (10101 + 0.5)) + 1 ≈ 2.3\n1084\t ///\n1085\t /// This ensures scores are comparable across shards, enabling correct score-based merge.\n1086\t #[tokio::test]\n1087\t async fn test_dfs_skewed_shards_global_idf_aggregation() {\n1088\t let mut topo = Topology::new(3, 1, 1);\n1089\t topo.add_node(Node::new(NodeId::new(\"node-0\".into()), \"http://node-0:7700\".into(), 0));\n1090\t topo.add_node(Node::new(NodeId::new(\"node-1\".into()), \"http://node-1:7700\".into(), 0));\n1091\t topo.add_node(Node::new(NodeId::new(\"node-2\".into()), \"http://node-2:7700\".into(), 0));\n1092\t\n1093\t let plan = plan_search_scatter(&topo, 0, 1, 3);\n1094\t\n1095\t // Simulate severely skewed shard distribution\n1096\t let mut c = MockNodeClient::default();\n1097\t\n1098\t // Shard 0: Normal distribution\n1099\t c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n1100\t total_docs: 1000,\n1101\t avg_doc_length: 50.0,\n1102\t term_stats: HashMap::from([\n1103\t (\"machine\".into(), TermStats { df: 100 }),\n1104\t (\"learning\".into(), TermStats { df: 80 }),\n1105\t ]),\n1106\t });\n1107\t\n1108\t // Shard 1: 100x normal (severely skewed)\n1109\t c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n1110\t total_docs: 100_000,\n1111\t avg_doc_length: 55.0,\n1112\t term_stats: HashMap::from([\n1113\t (\"machine\".into(), TermStats { df: 10_000 }),\n1114\t (\"learning\".into(), TermStats { df: 8_000 }),\n1115\t ]),\n1116\t });\n1117\t\n1118\t // Shard 2: Near-empty\n1119\t c.preflight_responses.insert(NodeId::new(\"node-2\".into()), PreflightResponse {\n1120\t total_docs: 10,\n1121\t avg_doc_length: 45.0,\n1122\t term_stats: HashMap::from([\n1123\t (\"machine\".into(), TermStats { df: 1 }),\n1124\t (\"learning\".into(), TermStats { df: 1 }),\n1125\t ]),\n1126\t });\n1127\t\n1128\t // Execute preflight to get global IDF\n1129\t let preflight_req = PreflightRequest {\n1130\t index_uid: \"test\".into(),\n1131\t terms: vec![\"machine\".into(), \"learning\".into()],\n1132\t filter: None,\n1133\t };\n1134\t\n1135\t let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n1136\t\n1137\t // Verify global aggregation\n1138\t assert_eq!(global_idf.total_docs, 101_010);\n1139\t assert_eq!(global_idf.terms.get(\"machine\").unwrap().df, 10_101);\n1140\t assert_eq!(global_idf.terms.get(\"learning\").unwrap().df, 8_081);\n1141\t\n1142\t // Verify global IDF is the same for all shards\n1143\t // Expected IDF for \"machine\": log((101010 - 10101 + 0.5) / (10101 + 0.5)) + 1\n1144\t let expected_idf_machine: f64 = ((101010.0_f64 - 10101.0 + 0.5) / (10101.0 + 0.5)).ln() + 1.0;\n1145\t let actual_idf_machine = global_idf.terms.get(\"machine\").unwrap().idf;\n1146\t assert!((actual_idf_machine - expected_idf_machine).abs() < 0.001);\n1147\t\n1148\t // Expected IDF for \"learning\": log((101010 - 8081 + 0.5) / (8081 + 0.5)) + 1\n1149\t let expected_idf_learning: f64 = ((101010.0_f64 - 8081.0 + 0.5) / (8081.0 + 0.5)).ln() + 1.0;\n1150\t let actual_idf_learning = global_idf.terms.get(\"learning\").unwrap().idf;\n1151\t assert!((actual_idf_learning - expected_idf_learning).abs() < 0.001);\n1152\t\n1153\t // Verify that without global IDF, local IDF values would differ significantly\n1154\t // Shard 0 local IDF for \"machine\": log((1000 - 100 + 0.5) / (100 + 0.5)) + 1 ≈ 3.19\n1155\t // Shard 1 local IDF for \"machine\": log((100000 - 10000 + 0.5) / (10000 + 0.5)) + 1 ≈ 3.20\n1156\t // Shard 2 local IDF for \"machine\": log((10 - 1 + 0.5) / (1 + 0.5)) + 1 ≈ 2.85\n1157\t let local_idf_shard_0: f64 = ((1000.0_f64 - 100.0 + 0.5) / (100.0 + 0.5)).ln() + 1.0;\n1158\t let local_idf_shard_2: f64 = ((10.0_f64 - 1.0 + 0.5) / (1.0 + 0.5)).ln() + 1.0;\n1159\t assert!((local_idf_shard_2 - local_idf_shard_0).abs() > 0.2, \"Local IDF values should differ significantly\");\n1160\t assert!((local_idf_shard_2 - actual_idf_machine).abs() > 0.3, \"Global IDF should be closer to large-shard local IDF\");\n1161\t }\n1162\t\n1163\t /// Test that DFS preflight handles empty query terms gracefully.\n1164\t #[tokio::test]\n1165\t async fn test_dfs_empty_query_terms() {\n1166\t let topo = make_test_topology();\n1167\t let plan = plan_search_scatter(&topo, 0, 2, 64);\n1168\t let c = MockNodeClient::default();\n1169\t\n1170\t let preflight_req = PreflightRequest {\n1171\t index_uid: \"test\".into(),\n1172\t terms: vec![],\n1173\t filter: None,\n1174\t };\n1175\t\n1176\t let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n1177\t assert_eq!(global_idf.total_docs, 0);\n1178\t assert!(global_idf.terms.is_empty());\n1179\t }\n1180\t\n1181\t /// Test that DFS preflight handles partial failures gracefully.\n1182\t #[tokio::test]\n1183\t async fn test_dfs_partial_failure() {\n1184\t let mut topo = Topology::new(3, 1, 1);\n1185\t topo.add_node(Node::new(NodeId::new(\"node-0\".into()), \"http://node-0:7700\".into(), 0));\n1186\t topo.add_node(Node::new(NodeId::new(\"node-1\".into()), \"http://node-1:7700\".into(), 0));\n1187\t topo.add_node(Node::new(NodeId::new(\"node-2\".into()), \"http://node-2:7700\".into(), 0));\n1188\t\n1189\t let plan = plan_search_scatter(&topo, 0, 1, 3);\n1190\t let mut c = MockNodeClient::default();\n1191\t\n1192\t // Node 0 returns valid data\n1193\t c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n1194\t total_docs: 50000,\n1195\t avg_doc_length: 50.0,\n1196\t term_stats: HashMap::from([(\"test\".into(), TermStats { df: 5000 })]),\n1197\t });\n1198\t\n1199\t // Node 1 returns valid data\n1200\t c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n1201\t total_docs: 30000,\n1202\t avg_doc_length: 55.0,\n1203\t term_stats: HashMap::from([(\"test\".into(), TermStats { df: 3000 })]),\n1204\t });\n1205\t\n1206\t // Node 2 fails\n1207\t c.errors.insert(NodeId::new(\"node-2\".into()), NodeError::Timeout);\n1208\t\n1209\t let preflight_req = PreflightRequest {\n1210\t index_uid: \"test\".into(),\n1211\t terms: vec![\"test\".into()],\n1212\t filter: None,\n1213\t };\n1214\t\n1215\t // Should aggregate from successful nodes only\n1216\t let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n1217\t assert_eq!(global_idf.total_docs, 80000);\n1218\t assert_eq!(global_idf.terms.get(\"test\").unwrap().df, 8000);\n1219\t }\n1220\t\n1221\t /// Test that to_node_body correctly injects showRankingScore: true and sets limit to offset + limit.\n1222\t #[test]\n1223\t fn test_to_node_body_injects_show_ranking_score() {\n1224\t let req = SearchRequest {\n1225\t index_uid: \"test\".into(),\n1226\t query: Some(\"rust programming\".into()),\n1227\t offset: 10,\n1228\t limit: 20,\n1229\t filter: Some(serde_json::json!(\"status = published\")),\n1230\t facets: Some(vec![\"category\".into(), \"tags\".into()]),\n1231\t ranking_score: false, // Client didn't request scores\n1232\t body: serde_json::json!({\"custom\": \"field\"}),\n1233\t global_idf: None,\n1234\t };\n1235\t\n1236\t let body = req.to_node_body();\n1237\t\n1238\t // showRankingScore must be true unconditionally\n1239\t assert_eq!(body.get(\"showRankingScore\"), Some(&serde_json::json!(true)));\n1240\t\n1241\t // limit must be offset + limit (coordinator pagination)\n1242\t assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(30)));\n1243\t\n1244\t // offset must be 0 (coordinator handles offset)\n1245\t assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n1246\t\n1247\t // query must be set\n1248\t assert_eq!(body.get(\"q\"), Some(&serde_json::json!(\"rust programming\")));\n1249\t\n1250\t // filter must be set\n1251\t assert_eq!(body.get(\"filter\"), Some(&serde_json::json!(\"status = published\")));\n1252\t\n1253\t // facets must be set\n1254\t assert_eq!(body.get(\"facets\"), Some(&serde_json::json!([\"category\", \"tags\"])));\n1255\t\n1256\t // custom body field must be preserved\n1257\t assert_eq!(body.get(\"custom\"), Some(&serde_json::json!(\"field\")));\n1258\t }\n1259\t\n1260\t /// Test that to_node_body works with minimal request.\n1261\t #[test]\n1262\t fn test_to_node_body_minimal_request() {\n1263\t let req = SearchRequest {\n1264\t index_uid: \"test\".into(),\n1265\t query: None,\n1266\t offset: 0,\n1267\t limit: 10,\n1268\t filter: None,\n1269\t facets: None,\n1270\t ranking_score: true, // Client requested scores\n1271\t body: serde_json::json!({}),\n1272\t global_idf: None,\n1273\t };\n1274\t\n1275\t let body = req.to_node_body();\n1276\t\n1277\t // showRankingScore must be true unconditionally\n1278\t assert_eq!(body.get(\"showRankingScore\"), Some(&serde_json::json!(true)));\n1279\t\n1280\t // limit must be offset + limit = 10\n1281\t assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(10)));\n1282\t\n1283\t // offset must be 0\n1284\t assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n1285\t }\n1286\t\n1287\t /// Test that to_node_body handles large offset/limit correctly.\n1288\t #[test]\n1289\t fn test_to_node_body_pagination() {\n1290\t let req = SearchRequest {\n1291\t index_uid: \"test\".into(),\n1292\t query: Some(\"test\".into()),\n1293\t offset: 100,\n1294\t limit: 50,\n1295\t filter: None,\n1296\t facets: None,\n1297\t ranking_score: false,\n1298\t body: serde_json::json!({}),\n1299\t global_idf: None,\n1300\t };\n1301\t\n1302\t let body = req.to_node_body();\n1303\t\n1304\t // limit must be offset + limit = 150 (fetch enough for coordinator pagination)\n1305\t assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(150)));\n1306\t\n1307\t // offset must be 0 (coordinator handles offset)\n1308\t assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n1309\t }\n1310\t\n1311\t /// Test group fallback when primary group has failed nodes.\n1312\t #[tokio::test]\n1313\t async fn test_group_fallback_on_partial_failure() {\n1314\t let mut topo = Topology::new(16, 2, 2);\n1315\t // Group 0: 2 nodes\n1316\t topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n1317\t topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n1318\t // Group 1: 2 nodes (healthy fallback targets)\n1319\t topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n1320\t topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n1321\t\n1322\t let plan = plan_search_scatter(&topo, 0, 2, 16); // query_seq=0 → group 0\n1323\t assert_eq!(plan.chosen_group, 0);\n1324\t\n1325\t let mut c = MockNodeClient::default();\n1326\t\n1327\t // Set up responses: all shards on group 1 nodes return valid data\n1328\t let response_1 = serde_json::json!({\n1329\t \"hits\": [{\"id\": \"doc1\", \"_rankingScore\": 0.9}],\n1330\t \"estimatedTotalHits\": 1,\n1331\t \"processingTimeMs\": 5,\n1332\t });\n1333\t c.responses.insert(NodeId::new(\"node-g1-0\".into()), response_1.clone());\n1334\t c.responses.insert(NodeId::new(\"node-g1-1\".into()), response_1);\n1335\t\n1336\t // All nodes in group 0 fail\n1337\t c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n1338\t c.errors.insert(NodeId::new(\"node-g1-0\".into()), NodeError::Timeout);\n1339\t\n1340\t let req = make_req();\n1341\t\n1342\t // With fallback policy, shards should succeed via group 1\n1343\t let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Fallback).await.unwrap();\n1344\t\n1345\t // Should have succeeded via fallback (group 1)\n1346\t assert!(!result.partial, \"Fallback should have succeeded\");\n1347\t assert!(result.failed_shards.is_empty(), \"No shards should have failed after fallback\");\n1348\t assert!(!result.shard_pages.is_empty(), \"Should have shard pages from fallback\");\n1349\t }\n1350\t\n1351\t /// Test group fallback when both groups are down.\n1352\t #[tokio::test]\n1353\t async fn test_group_fallback_all_groups_down() {\n1354\t let mut topo = Topology::new(16, 2, 2);\n1355\t topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n1356\t topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n1357\t topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n1358\t topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n1359\t\n1360\t let plan = plan_search_scatter(&topo, 0, 2, 16);\n1361\t let mut c = MockNodeClient::default();\n1362\t\n1363\t // All nodes fail\n1364\t c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n1365\t c.errors.insert(NodeId::new(\"node-g0-1\".into()), NodeError::Timeout);\n1366\t c.errors.insert(NodeId::new(\"node-g1-0\".into()), NodeError::Timeout);\n1367\t c.errors.insert(NodeId::new(\"node-g1-1\".into()), NodeError::Timeout);\n1368\t\n1369\t let req = make_req();\n1370\t\n1371\t // With fallback policy, should still fail when all groups are down\n1372\t let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Fallback).await.unwrap();\n1373\t\n1374\t assert!(result.partial, \"Should be partial when all groups fail\");\n1375\t assert!(!result.failed_shards.is_empty(), \"Should have failed shards\");\n1376\t }\n1377\t\n1378\t /// Test that partial policy does NOT use fallback.\n1379\t #[tokio::test]\n1380\t async fn test_partial_policy_no_fallback() {\n1381\t let mut topo = Topology::new(16, 2, 2);\n1382\t topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n1383\t topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n1384\t topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n1385\t topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n1386\t\n1387\t let plan = plan_search_scatter(&topo, 0, 2, 16);\n1388\t let mut c = MockNodeClient::default();\n1389\t\n1390\t // Group 1 nodes are healthy but partial policy shouldn't use them\n1391\t c.responses.insert(NodeId::new(\"node-g1-0\".into()), serde_json::json!({\n1392\t \"hits\": [{\"id\": \"fallback-doc\"}],\n1393\t \"estimatedTotalHits\": 1,\n1394\t }));\n1395\t\n1396\t // Group 0 nodes fail\n1397\t c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n1398\t c.errors.insert(NodeId::new(\"node-g0-1\".into()), NodeError::Timeout);\n1399\t\n1400\t let req = make_req();\n1401\t\n1402\t // With partial policy, should NOT use fallback\n1403\t let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Partial).await.unwrap();\n1404\t\n1405\t assert!(result.partial, \"Should be partial\");\n1406\t assert!(!result.failed_shards.is_empty(), \"Should have failed shards\");\n1407\t // Should NOT have any successful pages (fallback not used)\n1408\t assert!(result.shard_pages.is_empty(), \"Partial policy should not use fallback\");\n1409\t }\n1410\t}\n1411\t"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"67066889-89c8-40d0-ae77-e37b91b3aa26","timestamp":"2026-05-23T12:43:03.572Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/miroir/crates/miroir-core/src/scatter.rs","content":"//! Scatter orchestration: fan-out logic and covering set builder.\n\nuse crate::config::UnavailableShardPolicy;\nuse tracing::{instrument, info_span, Instrument};\nuse crate::merger::{MergeInput, MergedSearchResult, MergeStrategy, ShardHitPage};\nuse crate::router::{covering_set, covering_set_with_version_floor, query_group};\nuse crate::topology::{NodeId, Topology};\nuse crate::Result;\nuse serde::{Deserialize, Serialize};\nuse serde_json::Value;\nuse std::collections::HashMap;\n\n/// Scatter plan: the exact shard→node mapping for a search query.\n#[derive(Debug, Clone)]\npub struct ScatterPlan {\n pub chosen_group: u32,\n pub target_shards: Vec,\n pub shard_to_node: HashMap,\n pub deadline_ms: u32,\n pub hedging_eligible: bool,\n}\n\n// ---------------------------------------------------------------------------\n// §15 OP#4: Global-IDF preflight (dfs_query_then_fetch pattern)\n// ---------------------------------------------------------------------------\n\n/// Per-term document frequency from a single shard.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct TermStats {\n pub df: u64,\n}\n\n/// Preflight request: gather term-frequency statistics from a shard.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct PreflightRequest {\n pub index_uid: String,\n pub terms: Vec,\n pub filter: Option,\n}\n\n/// Response from a shard's preflight query.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct PreflightResponse {\n pub total_docs: u64,\n pub avg_doc_length: f64,\n pub term_stats: HashMap,\n}\n\n/// Aggregated global term statistics after coordinator aggregation.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct GlobalTermStats {\n pub df: u64,\n pub idf: f64,\n}\n\n/// Aggregated global IDF data computed at the coordinator.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct GlobalIdf {\n pub total_docs: u64,\n pub avg_doc_length: f64,\n pub terms: HashMap,\n}\n\nimpl GlobalIdf {\n /// Aggregate per-shard preflight responses into global IDF.\n pub fn from_preflight_responses(responses: &[PreflightResponse]) -> Self {\n let mut total_docs = 0u64;\n let mut total_length = 0.0f64;\n let mut term_df: HashMap = HashMap::new();\n\n for resp in responses {\n total_docs += resp.total_docs;\n total_length += resp.avg_doc_length * resp.total_docs as f64;\n for (term, stats) in &resp.term_stats {\n *term_df.entry(term.clone()).or_insert(0) += stats.df;\n }\n }\n\n let avg_doc_length = if total_docs > 0 {\n total_length / total_docs as f64\n } else {\n 0.0\n };\n\n let n = total_docs as f64;\n let terms = term_df\n .into_iter()\n .map(|(term, df)| {\n let idf = if df == 0 {\n 0.0\n } else {\n ((n - df as f64 + 0.5) / (df as f64 + 0.5)).ln() + 1.0\n };\n (term, GlobalTermStats { df, idf })\n })\n .collect();\n\n Self { total_docs, avg_doc_length, terms }\n }\n}\n\n// ---------------------------------------------------------------------------\n// NodeClient trait\n// ---------------------------------------------------------------------------\n\n// ---------------------------------------------------------------------------\n// Write path: document operations (P2.2)\n// ---------------------------------------------------------------------------\n\n/// Request to add/replace documents on a node.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct WriteRequest {\n pub index_uid: String,\n pub documents: Vec,\n pub primary_key: Option,\n /// Internal origin tag for CDC event suppression (plan §13.13).\n /// - None = client write (always emitted to CDC)\n /// - Some(\"antientropy\") = anti-entropy repair write (suppressed unless emit_internal_writes)\n /// - Some(\"reshard_backfill\") = reshard backfill write (suppressed unless emit_internal_writes)\n /// - Some(\"rollover\") = ILM rollover write (suppressed unless emit_internal_writes)\n /// - Some(\"ttl_expire\") = TTL expiration delete (suppressed unless emit_ttl_deletes)\n ///\n /// This field is NEVER stored on documents and never returned to clients.\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub origin: Option,\n}\n\n/// Response from a single node's document write operation.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct WriteResponse {\n pub success: bool,\n pub task_uid: Option,\n pub message: Option,\n pub code: Option,\n pub error_type: Option,\n}\n\n/// Request to delete documents by IDs.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct DeleteByIdsRequest {\n pub index_uid: String,\n pub ids: Vec,\n /// Internal origin tag for CDC event suppression (plan §13.13).\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub origin: Option,\n}\n\n/// Request to delete all documents matching a filter.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct DeleteByFilterRequest {\n pub index_uid: String,\n pub filter: Value,\n /// Internal origin tag for CDC event suppression (plan §13.13).\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub origin: Option,\n}\n\n/// Response from a delete operation.\npub type DeleteResponse = WriteResponse;\n\n/// Request to fetch documents with a filter (used for shard migration).\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct FetchDocumentsRequest {\n pub index_uid: String,\n pub filter: Value,\n pub limit: u32,\n pub offset: u32,\n}\n\n/// Response from a fetch documents operation.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct FetchDocumentsResponse {\n pub results: Vec,\n pub limit: u32,\n pub offset: u32,\n pub total: u64,\n}\n\n/// Request to get task status from a node.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct TaskStatusRequest {\n /// The task UID to query\n pub task_uid: u64,\n}\n\n/// Response from a single node's task status query.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct TaskStatusResponse {\n /// The task UID\n pub task_uid: u64,\n /// Current task status\n pub status: String,\n /// Error message if failed\n pub error: Option,\n /// Error type if failed\n #[serde(rename = \"type\")]\n pub error_type: Option,\n}\n\nimpl TaskStatusResponse {\n /// Convert Meilisearch status string to NodeTaskStatus.\n pub fn to_node_status(&self) -> crate::task::NodeTaskStatus {\n match self.status.as_str() {\n \"enqueued\" => crate::task::NodeTaskStatus::Enqueued,\n \"processing\" => crate::task::NodeTaskStatus::Processing,\n \"succeeded\" => crate::task::NodeTaskStatus::Succeeded,\n \"failed\" => crate::task::NodeTaskStatus::Failed,\n _ => crate::task::NodeTaskStatus::Enqueued,\n }\n }\n}\n\n// ---------------------------------------------------------------------------\n// NodeClient trait\n// ---------------------------------------------------------------------------\n\n/// HTTP client for communicating with a Meilisearch node.\n#[allow(async_fn_in_trait)]\npub trait NodeClient: Send + Sync {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result;\n\n /// Execute a preflight request (OP#4 global-IDF phase).\n async fn preflight_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &PreflightRequest,\n ) -> std::result::Result {\n Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\n }\n\n /// Write documents to a node (add/replace).\n async fn write_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &WriteRequest,\n ) -> std::result::Result {\n Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Get task status from a node.\n fn get_task_status(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(TaskStatusResponse {\n task_uid: _request.task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n\n /// Delete documents by IDs from a node.\n async fn delete_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Delete all documents matching a filter from a node.\n async fn delete_documents_by_filter(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Fetch documents with a filter from a node (used for shard migration).\n async fn fetch_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &FetchDocumentsRequest,\n ) -> std::result::Result {\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: _request.limit,\n offset: _request.offset,\n total: 0,\n })\n }\n}\n\n#[derive(Debug, Clone)]\npub enum NodeError {\n Timeout,\n HttpError { status: u16, body: String },\n NetworkError(String),\n}\n\n#[derive(Debug, Clone)]\npub struct SearchRequest {\n pub index_uid: String,\n pub query: Option,\n pub offset: usize,\n pub limit: usize,\n pub filter: Option,\n pub facets: Option>,\n pub ranking_score: bool,\n pub body: Value,\n /// Global IDF data from the preflight phase (OP#4).\n pub global_idf: Option,\n}\n\nimpl SearchRequest {\n /// Build the request body for sending to a node.\n ///\n /// Injects `showRankingScore: true` unconditionally so the merger can global-sort.\n /// Each node receives `offset + limit` results to ensure the coordinator has enough\n /// data to apply pagination.\n pub fn to_node_body(&self) -> Value {\n let mut body = self.body.clone();\n\n // Inject showRankingScore: true unconditionally for global sorting\n body[\"showRankingScore\"] = serde_json::json!(true);\n\n // Set limit to offset + limit so we get enough results for pagination\n // (coordinator applies final offset/limit after merging)\n body[\"limit\"] = serde_json::json!(self.offset + self.limit);\n\n // Set offset to 0 on individual nodes (coordinator handles offset)\n body[\"offset\"] = serde_json::json!(0);\n\n // Ensure query is set\n if let Some(q) = &self.query {\n body[\"q\"] = serde_json::json!(q);\n }\n\n // Ensure filter is set if provided\n if let Some(filter) = &self.filter {\n body[\"filter\"] = filter.clone();\n }\n\n // Ensure facets are set if provided\n if let Some(facets) = &self.facets {\n body[\"facets\"] = serde_json::json!(facets);\n }\n\n body\n }\n}\n\n#[derive(Debug)]\npub struct ScatterResult {\n pub shard_pages: Vec,\n pub failed_shards: HashMap,\n pub partial: bool,\n pub deadline_exceeded: bool,\n}\n\n#[instrument(skip_all, fields(query_seq, rf, shard_count))]\npub fn plan_search_scatter(\n topology: &Topology,\n query_seq: u64,\n rf: usize,\n shard_count: u32,\n) -> ScatterPlan {\n let chosen_group = query_group(query_seq, topology.replica_group_count());\n\n let group = match topology.group(chosen_group) {\n Some(g) => g,\n None => {\n return ScatterPlan {\n chosen_group, target_shards: Vec::new(),\n shard_to_node: HashMap::new(), deadline_ms: 0, hedging_eligible: false,\n };\n }\n };\n\n let _covering = covering_set(shard_count, group, rf, query_seq);\n\n let mut shard_to_node = HashMap::new();\n for shard_id in 0..shard_count {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n let selected = replicas[(query_seq as usize) % replicas.len()].clone();\n shard_to_node.insert(shard_id, selected);\n }\n\n ScatterPlan {\n chosen_group,\n target_shards: (0..shard_count).collect(),\n shard_to_node,\n deadline_ms: 5000,\n hedging_eligible: group.node_count() > 1,\n }\n}\n\n/// Plan search scatter with settings version floor filtering (plan §13.5).\n///\n/// Excludes nodes whose settings version for the given index is below `floor`.\n/// Returns None if no covering set can be assembled (caller should return 503).\npub fn plan_search_scatter_with_version_floor(\n topology: &Topology,\n query_seq: u64,\n rf: usize,\n shard_count: u32,\n index: &str,\n floor: u64,\n version_checker: &impl Fn(&str, &str) -> u64,\n) -> Option {\n let chosen_group = query_group(query_seq, topology.replica_group_count());\n\n let group = topology.group(chosen_group)?;\n\n let covering = covering_set_with_version_floor(\n shard_count,\n group,\n rf,\n query_seq,\n index,\n floor,\n version_checker,\n )?;\n\n let mut shard_to_node = HashMap::new();\n for shard_id in 0..shard_count {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n // Filter by version floor, then rotate by query_seq\n let eligible: Vec<_> = replicas\n .iter()\n .filter(|node_id| {\n let version = version_checker(index, node_id.as_str());\n version >= floor\n })\n .collect();\n\n if eligible.is_empty() {\n return None;\n }\n\n let selected = eligible[query_seq as usize % eligible.len()];\n shard_to_node.insert(shard_id, selected.clone());\n }\n\n Some(ScatterPlan {\n chosen_group,\n target_shards: (0..shard_count).collect(),\n shard_to_node,\n deadline_ms: 5000,\n hedging_eligible: group.node_count() > 1,\n })\n}\n\n/// Plan search scatter for a specific replica group (plan §13.6 session pinning).\n///\n/// Used when a session has a pending write and needs to read from the pinned group\n/// to ensure read-your-writes consistency.\npub fn plan_search_scatter_for_group(\n topology: &Topology,\n query_seq: u64,\n rf: usize,\n shard_count: u32,\n pinned_group: u32,\n) -> Option {\n let group = topology.group(pinned_group)?;\n\n let mut shard_to_node = HashMap::new();\n for shard_id in 0..shard_count {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n if replicas.is_empty() {\n continue;\n }\n let selected = replicas[query_seq as usize % replicas.len()].clone();\n shard_to_node.insert(shard_id, selected);\n }\n\n Some(ScatterPlan {\n chosen_group: pinned_group,\n target_shards: (0..shard_count).collect(),\n shard_to_node,\n deadline_ms: 5000,\n hedging_eligible: group.node_count() > 1,\n })\n}\n\n#[instrument(skip_all, fields(node_count))]\npub async fn execute_scatter(\n plan: ScatterPlan,\n client: &C,\n req: SearchRequest,\n topology: &Topology,\n policy: UnavailableShardPolicy,\n) -> Result {\n let mut node_to_shards: HashMap> = HashMap::new();\n for (&shard_id, node_id) in &plan.shard_to_node {\n if plan.target_shards.contains(&shard_id) {\n node_to_shards.entry(node_id.clone()).or_default().push(shard_id);\n }\n }\n tracing::Span::current().record(\"node_count\", node_to_shards.len());\n\n let mut shard_pages = Vec::new();\n let mut failed_shards = HashMap::new();\n let mut deadline_exceeded = false;\n\n let mut tasks = Vec::new();\n for (node_id, shards) in node_to_shards {\n let node = match topology.node(&node_id) {\n Some(n) => n.clone(),\n None => {\n for shard_id in shards {\n failed_shards.insert(shard_id, NodeError::NetworkError(\"node not in topology\".to_string()));\n }\n continue;\n }\n };\n let client_ref = client;\n let req_clone = req.clone();\n let node_id_clone = node_id.clone();\n let shard_count = shards.len();\n // Create a span for this node's scatter call\n let span = info_span!(\n \"scatter_node\",\n node_id = %node_id_clone,\n address = %node.address,\n shard_count = shard_count,\n );\n tasks.push(async move {\n let result = client_ref.search_node(&node_id_clone, &node.address, &req_clone).await;\n (node_id_clone, shards, result)\n }.instrument(span));\n }\n\n let results = futures_util::future::join_all(tasks).await;\n\n for (_node_id, shards, result) in results {\n match result {\n Ok(body) => {\n for _shard_id in shards {\n shard_pages.push(ShardHitPage { body: body.clone() });\n }\n }\n Err(NodeError::Timeout) => {\n deadline_exceeded = true;\n for shard_id in shards { failed_shards.insert(shard_id, NodeError::Timeout); }\n }\n Err(e) => {\n for shard_id in shards { failed_shards.insert(shard_id, e.clone()); }\n }\n }\n }\n\n let partial = !failed_shards.is_empty();\n\n match policy {\n UnavailableShardPolicy::Error => {\n if !failed_shards.is_empty() {\n return Err(crate::error::MiroirError::Routing(format!(\"{} shard(s) unavailable\", failed_shards.len())));\n }\n }\n UnavailableShardPolicy::Partial => {}\n UnavailableShardPolicy::Fallback => {\n // Group-unavailability fallback: try other replica groups for failed shards\n if !failed_shards.is_empty() {\n let mut fallback_pages = Vec::new();\n let mut remaining_failed = HashMap::new();\n\n for (&shard_id, error) in &failed_shards {\n let mut fallback_succeeded = false;\n\n // Try each other replica group\n for group_id in 0..topology.replica_group_count() {\n if group_id == plan.chosen_group {\n continue; // Skip the already-tried group\n }\n\n if let Some(group) = topology.group(group_id) {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), topology.rf());\n if replicas.is_empty() {\n continue;\n }\n\n // Try each replica in the fallback group\n for node_id in replicas {\n if let Some(node) = topology.node(&node_id) {\n match client.search_node(&node_id, &node.address, &req).await {\n Ok(body) => {\n fallback_pages.push(ShardHitPage { body });\n fallback_succeeded = true;\n break;\n }\n Err(_) => {\n continue; // Try next replica\n }\n }\n }\n }\n\n if fallback_succeeded {\n break; // Found a working replica\n }\n }\n }\n\n if !fallback_succeeded {\n remaining_failed.insert(shard_id, error.clone());\n }\n }\n\n // Merge fallback results\n shard_pages.extend(fallback_pages);\n\n // Update failed_shards with only those that truly failed\n if remaining_failed.is_empty() {\n // All shards succeeded via fallback\n return Ok(ScatterResult {\n shard_pages,\n failed_shards: HashMap::new(),\n partial: false,\n deadline_exceeded,\n });\n } else {\n // Some shards still failed\n failed_shards = remaining_failed;\n }\n }\n }\n }\n\n Ok(ScatterResult { shard_pages, failed_shards, partial, deadline_exceeded })\n}\n\n#[instrument(skip_all, fields(index = %req.index_uid))]\npub async fn scatter_gather_search(\n plan: ScatterPlan,\n client: &C,\n req: SearchRequest,\n topology: &Topology,\n policy: UnavailableShardPolicy,\n strategy: &dyn MergeStrategy,\n) -> Result {\n let scatter_result = execute_scatter(plan, client, req.clone(), topology, policy).await?;\n\n let mut shard_pages = scatter_result.shard_pages;\n if scatter_result.partial {\n for shard_id in scatter_result.failed_shards.keys() {\n shard_pages.push(ShardHitPage {\n body: serde_json::json!({\"success\": false, \"message\": format!(\"shard {} unavailable\", shard_id)}),\n });\n }\n }\n\n // Collect failed shard IDs for the X-Miroir-Degraded header\n let failed_shards: Vec = scatter_result.failed_shards.keys().copied().collect();\n\n let merge_input = MergeInput {\n shard_hits: shard_pages,\n offset: req.offset,\n limit: req.limit,\n client_requested_score: req.ranking_score,\n facets: req.facets.clone(),\n failed_shards,\n };\n\n // Span for the merge operation\n let _span = info_span!(\n \"merge\",\n shard_count = merge_input.shard_hits.len(),\n offset = req.offset,\n limit = req.limit,\n ).entered();\n\n strategy.merge(merge_input)\n}\n\n// ---------------------------------------------------------------------------\n// OP#4: Global-IDF preflight execution\n// ---------------------------------------------------------------------------\n\n/// Extract unique query terms from a search query string.\npub fn extract_query_terms(query: &Option) -> Vec {\n match query {\n Some(q) if !q.is_empty() => {\n let mut seen = std::collections::HashSet::new();\n let mut terms = Vec::new();\n for term in q.split_whitespace() {\n let lower = term.to_lowercase();\n if seen.insert(lower.clone()) { terms.push(lower); }\n }\n terms\n }\n _ => Vec::new(),\n }\n}\n\n/// Execute the preflight phase: gather term frequencies from all shards.\n#[instrument(skip_all, fields(node_count, term_count = req.terms.len()))]\npub async fn execute_preflight(\n plan: &ScatterPlan,\n client: &C,\n req: &PreflightRequest,\n topology: &Topology,\n) -> Result {\n if req.terms.is_empty() {\n return Ok(GlobalIdf { total_docs: 0, avg_doc_length: 0.0, terms: HashMap::new() });\n }\n\n let mut node_to_shards: HashMap> = HashMap::new();\n for (&shard_id, node_id) in &plan.shard_to_node {\n if plan.target_shards.contains(&shard_id) {\n node_to_shards.entry(node_id.clone()).or_default().push(shard_id);\n }\n }\n\n let mut tasks = Vec::new();\n for (node_id, _) in node_to_shards {\n let node = match topology.node(&node_id) {\n Some(n) => n.clone(),\n None => continue,\n };\n let client_ref = client;\n let req_clone = req.clone();\n let nid = node_id.clone();\n tasks.push(async move { client_ref.preflight_node(&nid, &node.address, &req_clone).await });\n }\n\n let results = futures_util::future::join_all(tasks).await;\n let responses: Vec = results.into_iter().filter_map(|r| r.ok()).collect();\n Ok(GlobalIdf::from_preflight_responses(&responses))\n}\n\n/// Execute a full dfs_query_then_fetch search (OP#4 global-IDF preflight).\n#[instrument(skip_all, fields(index = %req.index_uid))]\npub async fn dfs_query_then_fetch_search(\n plan: ScatterPlan,\n client: &C,\n req: SearchRequest,\n topology: &Topology,\n policy: UnavailableShardPolicy,\n strategy: &dyn MergeStrategy,\n) -> Result {\n let preflight_req = PreflightRequest {\n index_uid: req.index_uid.clone(),\n terms: extract_query_terms(&req.query),\n filter: req.filter.clone(),\n };\n let global_idf = execute_preflight(&plan, client, &preflight_req, topology).await?;\n let mut search_req = req;\n search_req.global_idf = Some(global_idf);\n scatter_gather_search(plan, client, search_req, topology, policy, strategy).await\n}\n\n// ---------------------------------------------------------------------------\n// Mock client\n// ---------------------------------------------------------------------------\n\n#[derive(Debug, Clone, Default)]\npub struct MockNodeClient {\n pub responses: HashMap,\n pub preflight_responses: HashMap,\n pub errors: HashMap,\n pub delay_ms: u64,\n}\n\nimpl NodeClient for MockNodeClient {\n async fn search_node(\n &self, node: &NodeId, _address: &str, _request: &SearchRequest,\n ) -> std::result::Result {\n let _ = self.delay_ms;\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.responses.get(node).cloned().unwrap_or_else(|| {\n serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})\n }))\n }\n\n async fn preflight_node(\n &self, node: &NodeId, _address: &str, _request: &PreflightRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.preflight_responses.get(node).cloned().unwrap_or_else(|| {\n PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }\n }))\n }\n\n async fn write_documents(\n &self, node: &NodeId, _address: &str, _request: &WriteRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(WriteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents(\n &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents_by_filter(\n &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn fetch_documents(\n &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: request.limit,\n offset: request.offset,\n total: 0,\n })\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let task_uid = _request.task_uid;\n let error = self.errors.get(&node).cloned();\n async move {\n if let Some(err) = error {\n return Err(err);\n }\n Ok(TaskStatusResponse {\n task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n use crate::topology::{Node, NodeId};\n\n fn make_test_topology() -> Topology {\n let mut topo = Topology::new(64, 2, 2);\n for i in 0u32..6 {\n let rg = if i < 3 { 0 } else { 1 };\n let mut node = Node::new(NodeId::new(format!(\"node-{i}\")), format!(\"http://node-{i}:7700\"), rg);\n node.status = crate::topology::NodeStatus::Active;\n topo.add_node(node);\n }\n topo\n }\n\n fn make_req() -> SearchRequest {\n SearchRequest {\n index_uid: \"test\".into(), query: Some(\"test\".into()),\n offset: 0, limit: 10, filter: None, facets: None,\n ranking_score: false, body: serde_json::json!({}), global_idf: None,\n }\n }\n\n #[test]\n fn test_plan_pure_function() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n assert_eq!(plan.chosen_group, 0);\n assert_eq!(plan.target_shards.len(), 64);\n assert!(plan.hedging_eligible);\n }\n\n #[test]\n fn test_plan_group_rotation() {\n let topo = make_test_topology();\n assert_eq!(plan_search_scatter(&topo, 0, 2, 64).chosen_group, 0);\n assert_eq!(plan_search_scatter(&topo, 1, 2, 64).chosen_group, 1);\n }\n\n #[test]\n fn test_plan_shard_mapping() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n for s in 0..64 { assert!(plan.shard_to_node.contains_key(&s)); }\n let g0 = topo.group(0).unwrap();\n for (_, nid) in &plan.shard_to_node { assert!(g0.nodes().contains(nid)); }\n }\n\n #[test]\n fn test_plan_hedging() {\n let mut topo = Topology::new(64, 1, 1);\n topo.add_node(Node::new(NodeId::new(\"n0\".into()), \"http://n0:7700\".into(), 0));\n assert!(!plan_search_scatter(&topo, 0, 1, 64).hedging_eligible);\n assert!(plan_search_scatter(&make_test_topology(), 0, 2, 64).hedging_eligible);\n }\n\n #[tokio::test]\n async fn test_scatter_mock() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"doc1\"}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n let r = execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial).await.unwrap();\n assert!(!r.partial);\n assert_eq!(r.shard_pages.len(), 64);\n }\n\n #[tokio::test]\n async fn test_scatter_partial() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.errors.insert(NodeId::new(\"node-0\".into()), NodeError::Timeout);\n let r = execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial).await.unwrap();\n assert!(r.partial);\n }\n\n #[tokio::test]\n async fn test_scatter_error_policy() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.errors.insert(NodeId::new(\"node-0\".into()), NodeError::Timeout);\n assert!(execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Error).await.is_err());\n }\n\n #[test]\n fn test_plan_invalid_group() {\n assert!(plan_search_scatter(&Topology::new(64, 0, 1), 0, 1, 64).shard_to_node.is_empty());\n }\n\n #[tokio::test]\n async fn test_scatter_node_not_in_topo() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let r = execute_scatter(plan, &MockNodeClient::default(), make_req(), &Topology::new(64, 2, 2), UnavailableShardPolicy::Partial).await.unwrap();\n assert!(r.partial);\n }\n\n #[tokio::test]\n async fn test_sg_rrf() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\", \"_rankingScore\": 0.9}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n let s = crate::merger::RrfStrategy::default_strategy();\n let r = scatter_gather_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap();\n assert!(!r.degraded);\n }\n\n #[tokio::test]\n async fn test_sg_degraded() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\"}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n c.errors.insert(NodeId::new(\"node-2\".into()), NodeError::Timeout);\n let s = crate::merger::RrfStrategy::default_strategy();\n assert!(scatter_gather_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap().degraded);\n }\n\n #[test]\n fn test_extract_query_terms() {\n assert_eq!(extract_query_terms(&Some(\"hello world hello\".into())), vec![\"hello\", \"world\"]);\n assert!(extract_query_terms(&None).is_empty());\n }\n\n #[test]\n fn test_global_idf_aggregation() {\n let resp = vec![\n PreflightResponse { total_docs: 50000, avg_doc_length: 50.0, term_stats: HashMap::from([(\"a\".into(), TermStats { df: 5000 })]) },\n PreflightResponse { total_docs: 50000, avg_doc_length: 60.0, term_stats: HashMap::from([(\"a\".into(), TermStats { df: 4500 })]) },\n ];\n let g = GlobalIdf::from_preflight_responses(&resp);\n assert_eq!(g.total_docs, 100000);\n assert!((g.avg_doc_length - 55.0).abs() < 0.001);\n assert_eq!(g.terms.get(\"a\").unwrap().df, 9500);\n }\n\n #[test]\n fn test_global_idf_empty() {\n let g = GlobalIdf::from_preflight_responses(&[]);\n assert_eq!(g.total_docs, 0);\n assert!(g.terms.is_empty());\n }\n\n #[tokio::test]\n async fn test_execute_preflight() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 30000, avg_doc_length: 50.0,\n term_stats: HashMap::from([(\"search\".into(), TermStats { df: 3000 })]),\n });\n c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n total_docs: 30000, avg_doc_length: 55.0,\n term_stats: HashMap::from([(\"search\".into(), TermStats { df: 2500 })]),\n });\n c.preflight_responses.insert(NodeId::new(\"node-2\".into()), PreflightResponse {\n total_docs: 40000, avg_doc_length: 52.0,\n term_stats: HashMap::from([(\"search\".into(), TermStats { df: 4000 })]),\n });\n let req = PreflightRequest { index_uid: \"test\".into(), terms: vec![\"search\".into()], filter: None };\n let g = execute_preflight(&plan, &c, &req, &topo).await.unwrap();\n assert_eq!(g.total_docs, 100000);\n assert_eq!(g.terms.get(\"search\").unwrap().df, 9500);\n }\n\n #[tokio::test]\n async fn test_dfs_query_then_fetch() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\", \"_rankingScore\": 0.9}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 50000, avg_doc_length: 50.0,\n term_stats: HashMap::from([(\"test\".into(), TermStats { df: 500 })]),\n });\n let s = crate::merger::RrfStrategy::default_strategy();\n let r = dfs_query_then_fetch_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap();\n assert!(!r.degraded);\n assert!(!r.hits.is_empty());\n }\n\n /// Integration test for dfs_query_then_fetch with severely skewed shard distribution.\n ///\n /// This test simulates the scenario described in miroir-yio:\n /// - Shard 0: Normal (1,000 docs, term df = 100)\n /// - Shard 1: 100x normal (100,000 docs, term df = 10,000)\n /// - Shard 2: Near-empty (10 docs, term df = 1)\n ///\n /// Without global IDF preflight, each shard would compute different local IDF values:\n /// - Shard 0: IDF ≈ log((1000 - 100 + 0.5) / (100 + 0.5)) + 1 ≈ 2.3\n /// - Shard 1: IDF ≈ log((100000 - 10000 + 0.5) / (10000 + 0.5)) + 1 ≈ 2.3\n /// - Shard 2: IDF ≈ log((10 - 1 + 0.5) / (1 + 0.5)) + 1 ≈ 2.8\n ///\n /// With global IDF preflight, all shards use the same IDF:\n /// - Global: N = 101,010, df = 10,101\n /// - IDF ≈ log((101010 - 10101 + 0.5) / (10101 + 0.5)) + 1 ≈ 2.3\n ///\n /// This ensures scores are comparable across shards, enabling correct score-based merge.\n #[tokio::test]\n async fn test_dfs_skewed_shards_global_idf_aggregation() {\n let mut topo = Topology::new(3, 1, 1);\n topo.add_node(Node::new(NodeId::new(\"node-0\".into()), \"http://node-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-1\".into()), \"http://node-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-2\".into()), \"http://node-2:7700\".into(), 0));\n\n let plan = plan_search_scatter(&topo, 0, 1, 3);\n\n // Simulate severely skewed shard distribution\n let mut c = MockNodeClient::default();\n\n // Shard 0: Normal distribution\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 1000,\n avg_doc_length: 50.0,\n term_stats: HashMap::from([\n (\"machine\".into(), TermStats { df: 100 }),\n (\"learning\".into(), TermStats { df: 80 }),\n ]),\n });\n\n // Shard 1: 100x normal (severely skewed)\n c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n total_docs: 100_000,\n avg_doc_length: 55.0,\n term_stats: HashMap::from([\n (\"machine\".into(), TermStats { df: 10_000 }),\n (\"learning\".into(), TermStats { df: 8_000 }),\n ]),\n });\n\n // Shard 2: Near-empty\n c.preflight_responses.insert(NodeId::new(\"node-2\".into()), PreflightResponse {\n total_docs: 10,\n avg_doc_length: 45.0,\n term_stats: HashMap::from([\n (\"machine\".into(), TermStats { df: 1 }),\n (\"learning\".into(), TermStats { df: 1 }),\n ]),\n });\n\n // Execute preflight to get global IDF\n let preflight_req = PreflightRequest {\n index_uid: \"test\".into(),\n terms: vec![\"machine\".into(), \"learning\".into()],\n filter: None,\n };\n\n let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n\n // Verify global aggregation\n assert_eq!(global_idf.total_docs, 101_010);\n assert_eq!(global_idf.terms.get(\"machine\").unwrap().df, 10_101);\n assert_eq!(global_idf.terms.get(\"learning\").unwrap().df, 8_081);\n\n // Verify global IDF is the same for all shards\n // Expected IDF for \"machine\": log((101010 - 10101 + 0.5) / (10101 + 0.5)) + 1\n let expected_idf_machine: f64 = ((101010.0_f64 - 10101.0 + 0.5) / (10101.0 + 0.5)).ln() + 1.0;\n let actual_idf_machine = global_idf.terms.get(\"machine\").unwrap().idf;\n assert!((actual_idf_machine - expected_idf_machine).abs() < 0.001);\n\n // Expected IDF for \"learning\": log((101010 - 8081 + 0.5) / (8081 + 0.5)) + 1\n let expected_idf_learning: f64 = ((101010.0_f64 - 8081.0 + 0.5) / (8081.0 + 0.5)).ln() + 1.0;\n let actual_idf_learning = global_idf.terms.get(\"learning\").unwrap().idf;\n assert!((actual_idf_learning - expected_idf_learning).abs() < 0.001);\n\n // Verify that without global IDF, local IDF values would differ significantly\n // Shard 0 local IDF for \"machine\": log((1000 - 100 + 0.5) / (100 + 0.5)) + 1 ≈ 3.19\n // Shard 1 local IDF for \"machine\": log((100000 - 10000 + 0.5) / (10000 + 0.5)) + 1 ≈ 3.20\n // Shard 2 local IDF for \"machine\": log((10 - 1 + 0.5) / (1 + 0.5)) + 1 ≈ 2.85\n let local_idf_shard_0: f64 = ((1000.0_f64 - 100.0 + 0.5) / (100.0 + 0.5)).ln() + 1.0;\n let local_idf_shard_2: f64 = ((10.0_f64 - 1.0 + 0.5) / (1.0 + 0.5)).ln() + 1.0;\n assert!((local_idf_shard_2 - local_idf_shard_0).abs() > 0.2, \"Local IDF values should differ significantly\");\n assert!((local_idf_shard_2 - actual_idf_machine).abs() > 0.3, \"Global IDF should be closer to large-shard local IDF\");\n }\n\n /// Test that DFS preflight handles empty query terms gracefully.\n #[tokio::test]\n async fn test_dfs_empty_query_terms() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let c = MockNodeClient::default();\n\n let preflight_req = PreflightRequest {\n index_uid: \"test\".into(),\n terms: vec![],\n filter: None,\n };\n\n let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n assert_eq!(global_idf.total_docs, 0);\n assert!(global_idf.terms.is_empty());\n }\n\n /// Test that DFS preflight handles partial failures gracefully.\n #[tokio::test]\n async fn test_dfs_partial_failure() {\n let mut topo = Topology::new(3, 1, 1);\n topo.add_node(Node::new(NodeId::new(\"node-0\".into()), \"http://node-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-1\".into()), \"http://node-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-2\".into()), \"http://node-2:7700\".into(), 0));\n\n let plan = plan_search_scatter(&topo, 0, 1, 3);\n let mut c = MockNodeClient::default();\n\n // Node 0 returns valid data\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 50000,\n avg_doc_length: 50.0,\n term_stats: HashMap::from([(\"test\".into(), TermStats { df: 5000 })]),\n });\n\n // Node 1 returns valid data\n c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n total_docs: 30000,\n avg_doc_length: 55.0,\n term_stats: HashMap::from([(\"test\".into(), TermStats { df: 3000 })]),\n });\n\n // Node 2 fails\n c.errors.insert(NodeId::new(\"node-2\".into()), NodeError::Timeout);\n\n let preflight_req = PreflightRequest {\n index_uid: \"test\".into(),\n terms: vec![\"test\".into()],\n filter: None,\n };\n\n // Should aggregate from successful nodes only\n let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n assert_eq!(global_idf.total_docs, 80000);\n assert_eq!(global_idf.terms.get(\"test\").unwrap().df, 8000);\n }\n\n /// Test that to_node_body correctly injects showRankingScore: true and sets limit to offset + limit.\n #[test]\n fn test_to_node_body_injects_show_ranking_score() {\n let req = SearchRequest {\n index_uid: \"test\".into(),\n query: Some(\"rust programming\".into()),\n offset: 10,\n limit: 20,\n filter: Some(serde_json::json!(\"status = published\")),\n facets: Some(vec![\"category\".into(), \"tags\".into()]),\n ranking_score: false, // Client didn't request scores\n body: serde_json::json!({\"custom\": \"field\"}),\n global_idf: None,\n };\n\n let body = req.to_node_body();\n\n // showRankingScore must be true unconditionally\n assert_eq!(body.get(\"showRankingScore\"), Some(&serde_json::json!(true)));\n\n // limit must be offset + limit (coordinator pagination)\n assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(30)));\n\n // offset must be 0 (coordinator handles offset)\n assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n\n // query must be set\n assert_eq!(body.get(\"q\"), Some(&serde_json::json!(\"rust programming\")));\n\n // filter must be set\n assert_eq!(body.get(\"filter\"), Some(&serde_json::json!(\"status = published\")));\n\n // facets must be set\n assert_eq!(body.get(\"facets\"), Some(&serde_json::json!([\"category\", \"tags\"])));\n\n // custom body field must be preserved\n assert_eq!(body.get(\"custom\"), Some(&serde_json::json!(\"field\")));\n }\n\n /// Test that to_node_body works with minimal request.\n #[test]\n fn test_to_node_body_minimal_request() {\n let req = SearchRequest {\n index_uid: \"test\".into(),\n query: None,\n offset: 0,\n limit: 10,\n filter: None,\n facets: None,\n ranking_score: true, // Client requested scores\n body: serde_json::json!({}),\n global_idf: None,\n };\n\n let body = req.to_node_body();\n\n // showRankingScore must be true unconditionally\n assert_eq!(body.get(\"showRankingScore\"), Some(&serde_json::json!(true)));\n\n // limit must be offset + limit = 10\n assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(10)));\n\n // offset must be 0\n assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n }\n\n /// Test that to_node_body handles large offset/limit correctly.\n #[test]\n fn test_to_node_body_pagination() {\n let req = SearchRequest {\n index_uid: \"test\".into(),\n query: Some(\"test\".into()),\n offset: 100,\n limit: 50,\n filter: None,\n facets: None,\n ranking_score: false,\n body: serde_json::json!({}),\n global_idf: None,\n };\n\n let body = req.to_node_body();\n\n // limit must be offset + limit = 150 (fetch enough for coordinator pagination)\n assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(150)));\n\n // offset must be 0 (coordinator handles offset)\n assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n }\n\n /// Test group fallback when primary group has failed nodes.\n #[tokio::test]\n async fn test_group_fallback_on_partial_failure() {\n let mut topo = Topology::new(16, 2, 2);\n // Group 0: 2 nodes\n topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n // Group 1: 2 nodes (healthy fallback targets)\n topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n\n let plan = plan_search_scatter(&topo, 0, 2, 16); // query_seq=0 → group 0\n assert_eq!(plan.chosen_group, 0);\n\n let mut c = MockNodeClient::default();\n\n // Set up responses: all shards on group 1 nodes return valid data\n let response_1 = serde_json::json!({\n \"hits\": [{\"id\": \"doc1\", \"_rankingScore\": 0.9}],\n \"estimatedTotalHits\": 1,\n \"processingTimeMs\": 5,\n });\n c.responses.insert(NodeId::new(\"node-g1-0\".into()), response_1.clone());\n c.responses.insert(NodeId::new(\"node-g1-1\".into()), response_1);\n\n // All nodes in group 0 fail\n c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g1-0\".into()), NodeError::Timeout);\n\n let req = make_req();\n\n // With fallback policy, shards should succeed via group 1\n let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Fallback).await.unwrap();\n\n // Should have succeeded via fallback (group 1)\n assert!(!result.partial, \"Fallback should have succeeded\");\n assert!(result.failed_shards.is_empty(), \"No shards should have failed after fallback\");\n assert!(!result.shard_pages.is_empty(), \"Should have shard pages from fallback\");\n }\n\n /// Test group fallback when both groups are down.\n #[tokio::test]\n async fn test_group_fallback_all_groups_down() {\n let mut topo = Topology::new(16, 2, 2);\n topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n\n let plan = plan_search_scatter(&topo, 0, 2, 16);\n let mut c = MockNodeClient::default();\n\n // All nodes fail\n c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g0-1\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g1-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g1-1\".into()), NodeError::Timeout);\n\n let req = make_req();\n\n // With fallback policy, should still fail when all groups are down\n let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Fallback).await.unwrap();\n\n assert!(result.partial, \"Should be partial when all groups fail\");\n assert!(!result.failed_shards.is_empty(), \"Should have failed shards\");\n }\n\n /// Test that partial policy does NOT use fallback.\n #[tokio::test]\n async fn test_partial_policy_no_fallback() {\n let mut topo = Topology::new(16, 2, 2);\n topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n\n let plan = plan_search_scatter(&topo, 0, 2, 16);\n let mut c = MockNodeClient::default();\n\n // Group 1 nodes are healthy but partial policy shouldn't use them\n c.responses.insert(NodeId::new(\"node-g1-0\".into()), serde_json::json!({\n \"hits\": [{\"id\": \"fallback-doc\"}],\n \"estimatedTotalHits\": 1,\n }));\n\n // Group 0 nodes fail\n c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g0-1\".into()), NodeError::Timeout);\n\n let req = make_req();\n\n // With partial policy, should NOT use fallback\n let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Partial).await.unwrap();\n\n 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The `NodeClient` trait has some methods that return `impl Future` with `Send` bounds explicitly (like `get_task_status`), but the `async fn` methods don't have explicit `Send` bounds on their futures.\n\nThe problem is that when `tokio::spawn` is used in `ttl.rs` and `rebalancer.rs`, it requires the future to be `Send`. The trait methods that use `async fn` don't guarantee `Send` on their returned futures.\n\nLooking at the trait definition:\n- `search_node` - async fn, no explicit Send bound\n- `preflight_node` - async fn, no explicit Send bound \n- `write_documents` - async fn, no explicit Send bound\n- `get_task_status` - returns `impl Future + Send`\n- `delete_documents` - async fn, no explicit Send bound\n- `delete_documents_by_filter` - async fn, no explicit Send bound\n- `fetch_documents` - async fn, no explicit Send bound\n\nThe issue is that the `async fn` methods in traits don't automatically have `Send` bounds on their futures. 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The issue is that `async fn` in traits doesn't guarantee `Send` futures, which `tokio::spawn` requires. I'll change the methods to return `impl Future + Send` like `get_task_status` already does:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"1c997548-db73-4f30-8b01-94c92887ca95"} +{"type":"stream_event","event":{"type":"content_block_stop","index":1},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"29cea59a-9cfb-49d8-b589-cffa75f24960"} +{"type":"stream_event","event":{"type":"content_block_start","index":2,"content_block":{"type":"tool_use","id":"call_36e87962863644c5b66e1837","name":"Edit","input":{}}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"174e10a7-fe04-4f92-9506-13f2b498f68f"} 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&DeleteByFilterRequest,\\n ) -> std::result::Result {\\n Ok(DeleteResponse {\\n success: false,\\n task_uid: None,\\n message: Some(\\\"not implemented\\\".to_string()),\\n code: None,\\n error_type: None,\\n })\\n }\\n\\n /// Fetch documents with a filter from a node (used for shard migration).\\n async fn fetch_documents(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &FetchDocumentsRequest,\\n ) -> std::result::Result {\\n Ok(FetchDocumentsResponse {\\n results: Vec::new(),\\n limit: _request.limit,\\n offset: _request.offset,\\n total: 0,\\n })\\n }\\n}\",\"new_string\":\"/// HTTP client for communicating with a Meilisearch node.\\npub trait NodeClient: Send + Sync {\\n fn search_node(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &SearchRequest,\\n ) -> impl std::future::Future> + Send;\\n\\n /// Execute a preflight request (OP#4 global-IDF phase).\\n fn preflight_node(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &PreflightRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\\n }\\n }\\n\\n /// Write documents to a node (add/replace).\\n fn write_documents(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &WriteRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(WriteResponse {\\n success: false,\\n task_uid: None,\\n message: Some(\\\"not implemented\\\".to_string()),\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n /// Get task status from a node.\\n fn get_task_status(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &TaskStatusRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(TaskStatusResponse {\\n task_uid: _request.task_uid,\\n status: \\\"succeeded\\\".to_string(),\\n error: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n /// Delete documents by IDs from a node.\\n fn delete_documents(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &DeleteByIdsRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(DeleteResponse {\\n success: false,\\n task_uid: None,\\n message: Some(\\\"not implemented\\\".to_string()),\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n /// Delete all documents matching a filter from a node.\\n fn delete_documents_by_filter(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &DeleteByFilterRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(DeleteResponse {\\n success: false,\\n task_uid: None,\\n message: Some(\\\"not implemented\\\".to_string()),\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n /// Fetch documents with a filter from a node (used for shard migration).\\n fn fetch_documents(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &FetchDocumentsRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(FetchDocumentsResponse {\\n results: Vec::new(),\\n limit: _request.limit,\\n offset: _request.offset,\\n total: 0,\\n })\\n }\\n }\\n}\"}"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"bbc27cc3-e3b9-4f95-95d9-354dfe6f46fb"} +{"type":"assistant","message":{"id":"msg_2026052320432228aef3536a784512","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_36e87962863644c5b66e1837","name":"Edit","input":{"replace_all":false,"file_path":"/home/coding/miroir/crates/miroir-core/src/scatter.rs","old_string":"/// HTTP client for communicating with a Meilisearch node.\n#[allow(async_fn_in_trait)]\npub trait NodeClient: Send + Sync {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result;\n\n /// Execute a preflight request (OP#4 global-IDF phase).\n async fn preflight_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &PreflightRequest,\n ) -> std::result::Result {\n Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\n }\n\n /// Write documents to a node (add/replace).\n async fn write_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &WriteRequest,\n ) -> std::result::Result {\n Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Get task status from a node.\n fn get_task_status(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(TaskStatusResponse {\n task_uid: _request.task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n\n /// Delete documents by IDs from a node.\n async fn delete_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Delete all documents matching a filter from a node.\n async fn delete_documents_by_filter(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Fetch documents with a filter from a node (used for shard migration).\n async fn fetch_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &FetchDocumentsRequest,\n ) -> std::result::Result {\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: _request.limit,\n offset: _request.offset,\n total: 0,\n })\n }\n}","new_string":"/// HTTP client for communicating with a Meilisearch node.\npub trait NodeClient: Send + Sync {\n fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send;\n\n /// Execute a preflight request (OP#4 global-IDF phase).\n fn preflight_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &PreflightRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\n }\n }\n\n /// Write documents to a node (add/replace).\n fn write_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &WriteRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n }\n\n /// Get task status from a node.\n fn get_task_status(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(TaskStatusResponse {\n task_uid: _request.task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n\n /// Delete documents by IDs from a node.\n fn delete_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n }\n\n /// Delete all documents matching a filter from a node.\n fn delete_documents_by_filter(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n }\n\n /// Fetch documents with a filter from a node (used for shard migration).\n fn fetch_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: _request.limit,\n offset: _request.offset,\n total: 0,\n })\n }\n }\n}"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"4b5a17e8-8f00-43e3-8142-008f6d4fdd01"} +{"type":"stream_event","event":{"type":"content_block_stop","index":2},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"58b81df5-4fe3-41db-b586-1e1625472b05"} +{"type":"stream_event","event":{"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":1815,"output_tokens":1715,"cache_read_input_tokens":61440,"server_tool_use":{"web_search_requests":0},"service_tier":"standard"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"2a9f6060-3b13-450e-b5e0-51ad376dd335"} 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(file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"27900561-ac2e-4e0f-947f-f76423c93654","timestamp":"2026-05-23T12:43:34.123Z","tool_use_result":{"filePath":"/home/coding/miroir/crates/miroir-core/src/scatter.rs","oldString":"/// HTTP client for communicating with a Meilisearch node.\n#[allow(async_fn_in_trait)]\npub trait NodeClient: Send + Sync {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result;\n\n /// Execute a preflight request (OP#4 global-IDF phase).\n async fn preflight_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &PreflightRequest,\n ) -> std::result::Result {\n Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\n }\n\n /// Write documents to a node (add/replace).\n async fn write_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &WriteRequest,\n ) -> std::result::Result {\n Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Get task status from a node.\n fn get_task_status(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(TaskStatusResponse {\n task_uid: _request.task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n\n /// Delete documents by IDs from a node.\n async fn delete_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Delete all documents matching a filter from a node.\n async fn delete_documents_by_filter(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Fetch documents with a filter from a node (used for shard migration).\n async fn fetch_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &FetchDocumentsRequest,\n ) -> std::result::Result {\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: _request.limit,\n offset: _request.offset,\n total: 0,\n })\n }\n}","newString":"/// HTTP client for communicating with a Meilisearch node.\npub trait NodeClient: Send + Sync {\n fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send;\n\n /// Execute a preflight request (OP#4 global-IDF phase).\n fn preflight_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &PreflightRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\n }\n }\n\n /// Write documents to a node (add/replace).\n fn write_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &WriteRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n }\n\n /// Get task status from a node.\n fn get_task_status(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(TaskStatusResponse {\n task_uid: _request.task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n\n /// Delete documents by IDs from a node.\n fn delete_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n }\n\n /// Delete all documents matching a filter from a node.\n fn delete_documents_by_filter(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n }\n\n /// Fetch documents with a filter from a node (used for shard migration).\n fn fetch_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: _request.limit,\n offset: _request.offset,\n total: 0,\n })\n }\n }\n}","originalFile":"//! Scatter orchestration: fan-out logic and covering set builder.\n\nuse crate::config::UnavailableShardPolicy;\nuse tracing::{instrument, info_span, Instrument};\nuse crate::merger::{MergeInput, MergedSearchResult, MergeStrategy, ShardHitPage};\nuse crate::router::{covering_set, covering_set_with_version_floor, query_group};\nuse crate::topology::{NodeId, Topology};\nuse crate::Result;\nuse serde::{Deserialize, Serialize};\nuse serde_json::Value;\nuse std::collections::HashMap;\n\n/// Scatter plan: the exact shard→node mapping for a search query.\n#[derive(Debug, Clone)]\npub struct ScatterPlan {\n pub chosen_group: u32,\n pub target_shards: Vec,\n pub shard_to_node: HashMap,\n pub deadline_ms: u32,\n pub hedging_eligible: bool,\n}\n\n// ---------------------------------------------------------------------------\n// §15 OP#4: Global-IDF preflight (dfs_query_then_fetch pattern)\n// ---------------------------------------------------------------------------\n\n/// Per-term document frequency from a single shard.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct TermStats {\n pub df: u64,\n}\n\n/// Preflight request: gather term-frequency statistics from a shard.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct PreflightRequest {\n pub index_uid: String,\n pub terms: Vec,\n pub filter: Option,\n}\n\n/// Response from a shard's preflight query.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct PreflightResponse {\n pub total_docs: u64,\n pub avg_doc_length: f64,\n pub term_stats: HashMap,\n}\n\n/// Aggregated global term statistics after coordinator aggregation.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct GlobalTermStats {\n pub df: u64,\n pub idf: f64,\n}\n\n/// Aggregated global IDF data computed at the coordinator.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct GlobalIdf {\n pub total_docs: u64,\n pub avg_doc_length: f64,\n pub terms: HashMap,\n}\n\nimpl GlobalIdf {\n /// Aggregate per-shard preflight responses into global IDF.\n pub fn from_preflight_responses(responses: &[PreflightResponse]) -> Self {\n let mut total_docs = 0u64;\n let mut total_length = 0.0f64;\n let mut term_df: HashMap = HashMap::new();\n\n for resp in responses {\n total_docs += resp.total_docs;\n total_length += resp.avg_doc_length * resp.total_docs as f64;\n for (term, stats) in &resp.term_stats {\n *term_df.entry(term.clone()).or_insert(0) += stats.df;\n }\n }\n\n let avg_doc_length = if total_docs > 0 {\n total_length / total_docs as f64\n } else {\n 0.0\n };\n\n let n = total_docs as f64;\n let terms = term_df\n .into_iter()\n .map(|(term, df)| {\n let idf = if df == 0 {\n 0.0\n } else {\n ((n - df as f64 + 0.5) / (df as f64 + 0.5)).ln() + 1.0\n };\n (term, GlobalTermStats { df, idf })\n })\n .collect();\n\n Self { total_docs, avg_doc_length, terms }\n }\n}\n\n// ---------------------------------------------------------------------------\n// NodeClient trait\n// ---------------------------------------------------------------------------\n\n// ---------------------------------------------------------------------------\n// Write path: document operations (P2.2)\n// ---------------------------------------------------------------------------\n\n/// Request to add/replace documents on a node.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct WriteRequest {\n pub index_uid: String,\n pub documents: Vec,\n pub primary_key: Option,\n /// Internal origin tag for CDC event suppression (plan §13.13).\n /// - None = client write (always emitted to CDC)\n /// - Some(\"antientropy\") = anti-entropy repair write (suppressed unless emit_internal_writes)\n /// - Some(\"reshard_backfill\") = reshard backfill write (suppressed unless emit_internal_writes)\n /// - Some(\"rollover\") = ILM rollover write (suppressed unless emit_internal_writes)\n /// - Some(\"ttl_expire\") = TTL expiration delete (suppressed unless emit_ttl_deletes)\n ///\n /// This field is NEVER stored on documents and never returned to clients.\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub origin: Option,\n}\n\n/// Response from a single node's document write operation.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct WriteResponse {\n pub success: bool,\n pub task_uid: Option,\n pub message: Option,\n pub code: Option,\n pub error_type: Option,\n}\n\n/// Request to delete documents by IDs.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct DeleteByIdsRequest {\n pub index_uid: String,\n pub ids: Vec,\n /// Internal origin tag for CDC event suppression (plan §13.13).\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub origin: Option,\n}\n\n/// Request to delete all documents matching a filter.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct DeleteByFilterRequest {\n pub index_uid: String,\n pub filter: Value,\n /// Internal origin tag for CDC event suppression (plan §13.13).\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub origin: Option,\n}\n\n/// Response from a delete operation.\npub type DeleteResponse = WriteResponse;\n\n/// Request to fetch documents with a filter (used for shard migration).\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct FetchDocumentsRequest {\n pub index_uid: String,\n pub filter: Value,\n pub limit: u32,\n pub offset: u32,\n}\n\n/// Response from a fetch documents operation.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct FetchDocumentsResponse {\n pub results: Vec,\n pub limit: u32,\n pub offset: u32,\n pub total: u64,\n}\n\n/// Request to get task status from a node.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct TaskStatusRequest {\n /// The task UID to query\n pub task_uid: u64,\n}\n\n/// Response from a single node's task status query.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct TaskStatusResponse {\n /// The task UID\n pub task_uid: u64,\n /// Current task status\n pub status: String,\n /// Error message if failed\n pub error: Option,\n /// Error type if failed\n #[serde(rename = \"type\")]\n pub error_type: Option,\n}\n\nimpl TaskStatusResponse {\n /// Convert Meilisearch status string to NodeTaskStatus.\n pub fn to_node_status(&self) -> crate::task::NodeTaskStatus {\n match self.status.as_str() {\n \"enqueued\" => crate::task::NodeTaskStatus::Enqueued,\n \"processing\" => crate::task::NodeTaskStatus::Processing,\n \"succeeded\" => crate::task::NodeTaskStatus::Succeeded,\n \"failed\" => crate::task::NodeTaskStatus::Failed,\n _ => crate::task::NodeTaskStatus::Enqueued,\n }\n }\n}\n\n// ---------------------------------------------------------------------------\n// NodeClient trait\n// ---------------------------------------------------------------------------\n\n/// HTTP client for communicating with a Meilisearch node.\n#[allow(async_fn_in_trait)]\npub trait NodeClient: Send + Sync {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result;\n\n /// Execute a preflight request (OP#4 global-IDF phase).\n async fn preflight_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &PreflightRequest,\n ) -> std::result::Result {\n Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\n }\n\n /// Write documents to a node (add/replace).\n async fn write_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &WriteRequest,\n ) -> std::result::Result {\n Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Get task status from a node.\n fn get_task_status(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(TaskStatusResponse {\n task_uid: _request.task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n\n /// Delete documents by IDs from a node.\n async fn delete_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Delete all documents matching a filter from a node.\n async fn delete_documents_by_filter(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n\n /// Fetch documents with a filter from a node (used for shard migration).\n async fn fetch_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &FetchDocumentsRequest,\n ) -> std::result::Result {\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: _request.limit,\n offset: _request.offset,\n total: 0,\n })\n }\n}\n\n#[derive(Debug, Clone)]\npub enum NodeError {\n Timeout,\n HttpError { status: u16, body: String },\n NetworkError(String),\n}\n\n#[derive(Debug, Clone)]\npub struct SearchRequest {\n pub index_uid: String,\n pub query: Option,\n pub offset: usize,\n pub limit: usize,\n pub filter: Option,\n pub facets: Option>,\n pub ranking_score: bool,\n pub body: Value,\n /// Global IDF data from the preflight phase (OP#4).\n pub global_idf: Option,\n}\n\nimpl SearchRequest {\n /// Build the request body for sending to a node.\n ///\n /// Injects `showRankingScore: true` unconditionally so the merger can global-sort.\n /// Each node receives `offset + limit` results to ensure the coordinator has enough\n /// data to apply pagination.\n pub fn to_node_body(&self) -> Value {\n let mut body = self.body.clone();\n\n // Inject showRankingScore: true unconditionally for global sorting\n body[\"showRankingScore\"] = serde_json::json!(true);\n\n // Set limit to offset + limit so we get enough results for pagination\n // (coordinator applies final offset/limit after merging)\n body[\"limit\"] = serde_json::json!(self.offset + self.limit);\n\n // Set offset to 0 on individual nodes (coordinator handles offset)\n body[\"offset\"] = serde_json::json!(0);\n\n // Ensure query is set\n if let Some(q) = &self.query {\n body[\"q\"] = serde_json::json!(q);\n }\n\n // Ensure filter is set if provided\n if let Some(filter) = &self.filter {\n body[\"filter\"] = filter.clone();\n }\n\n // Ensure facets are set if provided\n if let Some(facets) = &self.facets {\n body[\"facets\"] = serde_json::json!(facets);\n }\n\n body\n }\n}\n\n#[derive(Debug)]\npub struct ScatterResult {\n pub shard_pages: Vec,\n pub failed_shards: HashMap,\n pub partial: bool,\n pub deadline_exceeded: bool,\n}\n\n#[instrument(skip_all, fields(query_seq, rf, shard_count))]\npub fn plan_search_scatter(\n topology: &Topology,\n query_seq: u64,\n rf: usize,\n shard_count: u32,\n) -> ScatterPlan {\n let chosen_group = query_group(query_seq, topology.replica_group_count());\n\n let group = match topology.group(chosen_group) {\n Some(g) => g,\n None => {\n return ScatterPlan {\n chosen_group, target_shards: Vec::new(),\n shard_to_node: HashMap::new(), deadline_ms: 0, hedging_eligible: false,\n };\n }\n };\n\n let _covering = covering_set(shard_count, group, rf, query_seq);\n\n let mut shard_to_node = HashMap::new();\n for shard_id in 0..shard_count {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n let selected = replicas[(query_seq as usize) % replicas.len()].clone();\n shard_to_node.insert(shard_id, selected);\n }\n\n ScatterPlan {\n chosen_group,\n target_shards: (0..shard_count).collect(),\n shard_to_node,\n deadline_ms: 5000,\n hedging_eligible: group.node_count() > 1,\n }\n}\n\n/// Plan search scatter with settings version floor filtering (plan §13.5).\n///\n/// Excludes nodes whose settings version for the given index is below `floor`.\n/// Returns None if no covering set can be assembled (caller should return 503).\npub fn plan_search_scatter_with_version_floor(\n topology: &Topology,\n query_seq: u64,\n rf: usize,\n shard_count: u32,\n index: &str,\n floor: u64,\n version_checker: &impl Fn(&str, &str) -> u64,\n) -> Option {\n let chosen_group = query_group(query_seq, topology.replica_group_count());\n\n let group = topology.group(chosen_group)?;\n\n let covering = covering_set_with_version_floor(\n shard_count,\n group,\n rf,\n query_seq,\n index,\n floor,\n version_checker,\n )?;\n\n let mut shard_to_node = HashMap::new();\n for shard_id in 0..shard_count {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n // Filter by version floor, then rotate by query_seq\n let eligible: Vec<_> = replicas\n .iter()\n .filter(|node_id| {\n let version = version_checker(index, node_id.as_str());\n version >= floor\n })\n .collect();\n\n if eligible.is_empty() {\n return None;\n }\n\n let selected = eligible[query_seq as usize % eligible.len()];\n shard_to_node.insert(shard_id, selected.clone());\n }\n\n Some(ScatterPlan {\n chosen_group,\n target_shards: (0..shard_count).collect(),\n shard_to_node,\n deadline_ms: 5000,\n hedging_eligible: group.node_count() > 1,\n })\n}\n\n/// Plan search scatter for a specific replica group (plan §13.6 session pinning).\n///\n/// Used when a session has a pending write and needs to read from the pinned group\n/// to ensure read-your-writes consistency.\npub fn plan_search_scatter_for_group(\n topology: &Topology,\n query_seq: u64,\n rf: usize,\n shard_count: u32,\n pinned_group: u32,\n) -> Option {\n let group = topology.group(pinned_group)?;\n\n let mut shard_to_node = HashMap::new();\n for shard_id in 0..shard_count {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n if replicas.is_empty() {\n continue;\n }\n let selected = replicas[query_seq as usize % replicas.len()].clone();\n shard_to_node.insert(shard_id, selected);\n }\n\n Some(ScatterPlan {\n chosen_group: pinned_group,\n target_shards: (0..shard_count).collect(),\n shard_to_node,\n deadline_ms: 5000,\n hedging_eligible: group.node_count() > 1,\n })\n}\n\n#[instrument(skip_all, fields(node_count))]\npub async fn execute_scatter(\n plan: ScatterPlan,\n client: &C,\n req: SearchRequest,\n topology: &Topology,\n policy: UnavailableShardPolicy,\n) -> Result {\n let mut node_to_shards: HashMap> = HashMap::new();\n for (&shard_id, node_id) in &plan.shard_to_node {\n if plan.target_shards.contains(&shard_id) {\n node_to_shards.entry(node_id.clone()).or_default().push(shard_id);\n }\n }\n tracing::Span::current().record(\"node_count\", node_to_shards.len());\n\n let mut shard_pages = Vec::new();\n let mut failed_shards = HashMap::new();\n let mut deadline_exceeded = false;\n\n let mut tasks = Vec::new();\n for (node_id, shards) in node_to_shards {\n let node = match topology.node(&node_id) {\n Some(n) => n.clone(),\n None => {\n for shard_id in shards {\n failed_shards.insert(shard_id, NodeError::NetworkError(\"node not in topology\".to_string()));\n }\n continue;\n }\n };\n let client_ref = client;\n let req_clone = req.clone();\n let node_id_clone = node_id.clone();\n let shard_count = shards.len();\n // Create a span for this node's scatter call\n let span = info_span!(\n \"scatter_node\",\n node_id = %node_id_clone,\n address = %node.address,\n shard_count = shard_count,\n );\n tasks.push(async move {\n let result = client_ref.search_node(&node_id_clone, &node.address, &req_clone).await;\n (node_id_clone, shards, result)\n }.instrument(span));\n }\n\n let results = futures_util::future::join_all(tasks).await;\n\n for (_node_id, shards, result) in results {\n match result {\n Ok(body) => {\n for _shard_id in shards {\n shard_pages.push(ShardHitPage { body: body.clone() });\n }\n }\n Err(NodeError::Timeout) => {\n deadline_exceeded = true;\n for shard_id in shards { failed_shards.insert(shard_id, NodeError::Timeout); }\n }\n Err(e) => {\n for shard_id in shards { failed_shards.insert(shard_id, e.clone()); }\n }\n }\n }\n\n let partial = !failed_shards.is_empty();\n\n match policy {\n UnavailableShardPolicy::Error => {\n if !failed_shards.is_empty() {\n return Err(crate::error::MiroirError::Routing(format!(\"{} shard(s) unavailable\", failed_shards.len())));\n }\n }\n UnavailableShardPolicy::Partial => {}\n UnavailableShardPolicy::Fallback => {\n // Group-unavailability fallback: try other replica groups for failed shards\n if !failed_shards.is_empty() {\n let mut fallback_pages = Vec::new();\n let mut remaining_failed = HashMap::new();\n\n for (&shard_id, error) in &failed_shards {\n let mut fallback_succeeded = false;\n\n // Try each other replica group\n for group_id in 0..topology.replica_group_count() {\n if group_id == plan.chosen_group {\n continue; // Skip the already-tried group\n }\n\n if let Some(group) = topology.group(group_id) {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), topology.rf());\n if replicas.is_empty() {\n continue;\n }\n\n // Try each replica in the fallback group\n for node_id in replicas {\n if let Some(node) = topology.node(&node_id) {\n match client.search_node(&node_id, &node.address, &req).await {\n Ok(body) => {\n fallback_pages.push(ShardHitPage { body });\n fallback_succeeded = true;\n break;\n }\n Err(_) => {\n continue; // Try next replica\n }\n }\n }\n }\n\n if fallback_succeeded {\n break; // Found a working replica\n }\n }\n }\n\n if !fallback_succeeded {\n remaining_failed.insert(shard_id, error.clone());\n }\n }\n\n // Merge fallback results\n shard_pages.extend(fallback_pages);\n\n // Update failed_shards with only those that truly failed\n if remaining_failed.is_empty() {\n // All shards succeeded via fallback\n return Ok(ScatterResult {\n shard_pages,\n failed_shards: HashMap::new(),\n partial: false,\n deadline_exceeded,\n });\n } else {\n // Some shards still failed\n failed_shards = remaining_failed;\n }\n }\n }\n }\n\n Ok(ScatterResult { shard_pages, failed_shards, partial, deadline_exceeded })\n}\n\n#[instrument(skip_all, fields(index = %req.index_uid))]\npub async fn scatter_gather_search(\n plan: ScatterPlan,\n client: &C,\n req: SearchRequest,\n topology: &Topology,\n policy: UnavailableShardPolicy,\n strategy: &dyn MergeStrategy,\n) -> Result {\n let scatter_result = execute_scatter(plan, client, req.clone(), topology, policy).await?;\n\n let mut shard_pages = scatter_result.shard_pages;\n if scatter_result.partial {\n for shard_id in scatter_result.failed_shards.keys() {\n shard_pages.push(ShardHitPage {\n body: serde_json::json!({\"success\": false, \"message\": format!(\"shard {} unavailable\", shard_id)}),\n });\n }\n }\n\n // Collect failed shard IDs for the X-Miroir-Degraded header\n let failed_shards: Vec = scatter_result.failed_shards.keys().copied().collect();\n\n let merge_input = MergeInput {\n shard_hits: shard_pages,\n offset: req.offset,\n limit: req.limit,\n client_requested_score: req.ranking_score,\n facets: req.facets.clone(),\n failed_shards,\n };\n\n // Span for the merge operation\n let _span = info_span!(\n \"merge\",\n shard_count = merge_input.shard_hits.len(),\n offset = req.offset,\n limit = req.limit,\n ).entered();\n\n strategy.merge(merge_input)\n}\n\n// ---------------------------------------------------------------------------\n// OP#4: Global-IDF preflight execution\n// ---------------------------------------------------------------------------\n\n/// Extract unique query terms from a search query string.\npub fn extract_query_terms(query: &Option) -> Vec {\n match query {\n Some(q) if !q.is_empty() => {\n let mut seen = std::collections::HashSet::new();\n let mut terms = Vec::new();\n for term in q.split_whitespace() {\n let lower = term.to_lowercase();\n if seen.insert(lower.clone()) { terms.push(lower); }\n }\n terms\n }\n _ => Vec::new(),\n }\n}\n\n/// Execute the preflight phase: gather term frequencies from all shards.\n#[instrument(skip_all, fields(node_count, term_count = req.terms.len()))]\npub async fn execute_preflight(\n plan: &ScatterPlan,\n client: &C,\n req: &PreflightRequest,\n topology: &Topology,\n) -> Result {\n if req.terms.is_empty() {\n return Ok(GlobalIdf { total_docs: 0, avg_doc_length: 0.0, terms: HashMap::new() });\n }\n\n let mut node_to_shards: HashMap> = HashMap::new();\n for (&shard_id, node_id) in &plan.shard_to_node {\n if plan.target_shards.contains(&shard_id) {\n node_to_shards.entry(node_id.clone()).or_default().push(shard_id);\n }\n }\n\n let mut tasks = Vec::new();\n for (node_id, _) in node_to_shards {\n let node = match topology.node(&node_id) {\n Some(n) => n.clone(),\n None => continue,\n };\n let client_ref = client;\n let req_clone = req.clone();\n let nid = node_id.clone();\n tasks.push(async move { client_ref.preflight_node(&nid, &node.address, &req_clone).await });\n }\n\n let results = futures_util::future::join_all(tasks).await;\n let responses: Vec = results.into_iter().filter_map(|r| r.ok()).collect();\n Ok(GlobalIdf::from_preflight_responses(&responses))\n}\n\n/// Execute a full dfs_query_then_fetch search (OP#4 global-IDF preflight).\n#[instrument(skip_all, fields(index = %req.index_uid))]\npub async fn dfs_query_then_fetch_search(\n plan: ScatterPlan,\n client: &C,\n req: SearchRequest,\n topology: &Topology,\n policy: UnavailableShardPolicy,\n strategy: &dyn MergeStrategy,\n) -> Result {\n let preflight_req = PreflightRequest {\n index_uid: req.index_uid.clone(),\n terms: extract_query_terms(&req.query),\n filter: req.filter.clone(),\n };\n let global_idf = execute_preflight(&plan, client, &preflight_req, topology).await?;\n let mut search_req = req;\n search_req.global_idf = Some(global_idf);\n scatter_gather_search(plan, client, search_req, topology, policy, strategy).await\n}\n\n// ---------------------------------------------------------------------------\n// Mock client\n// ---------------------------------------------------------------------------\n\n#[derive(Debug, Clone, Default)]\npub struct MockNodeClient {\n pub responses: HashMap,\n pub preflight_responses: HashMap,\n pub errors: HashMap,\n pub delay_ms: u64,\n}\n\nimpl NodeClient for MockNodeClient {\n async fn search_node(\n &self, node: &NodeId, _address: &str, _request: &SearchRequest,\n ) -> std::result::Result {\n let _ = self.delay_ms;\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.responses.get(node).cloned().unwrap_or_else(|| {\n serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})\n }))\n }\n\n async fn preflight_node(\n &self, node: &NodeId, _address: &str, _request: &PreflightRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.preflight_responses.get(node).cloned().unwrap_or_else(|| {\n PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }\n }))\n }\n\n async fn write_documents(\n &self, node: &NodeId, _address: &str, _request: &WriteRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(WriteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents(\n &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents_by_filter(\n &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn fetch_documents(\n &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: request.limit,\n offset: request.offset,\n total: 0,\n })\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let task_uid = _request.task_uid;\n let error = self.errors.get(&node).cloned();\n async move {\n if let Some(err) = error {\n return Err(err);\n }\n Ok(TaskStatusResponse {\n task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n use crate::topology::{Node, NodeId};\n\n fn make_test_topology() -> Topology {\n let mut topo = Topology::new(64, 2, 2);\n for i in 0u32..6 {\n let rg = if i < 3 { 0 } else { 1 };\n let mut node = Node::new(NodeId::new(format!(\"node-{i}\")), format!(\"http://node-{i}:7700\"), rg);\n node.status = crate::topology::NodeStatus::Active;\n topo.add_node(node);\n }\n topo\n }\n\n fn make_req() -> SearchRequest {\n SearchRequest {\n index_uid: \"test\".into(), query: Some(\"test\".into()),\n offset: 0, limit: 10, filter: None, facets: None,\n ranking_score: false, body: serde_json::json!({}), global_idf: None,\n }\n }\n\n #[test]\n fn test_plan_pure_function() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n assert_eq!(plan.chosen_group, 0);\n assert_eq!(plan.target_shards.len(), 64);\n assert!(plan.hedging_eligible);\n }\n\n #[test]\n fn test_plan_group_rotation() {\n let topo = make_test_topology();\n assert_eq!(plan_search_scatter(&topo, 0, 2, 64).chosen_group, 0);\n assert_eq!(plan_search_scatter(&topo, 1, 2, 64).chosen_group, 1);\n }\n\n #[test]\n fn test_plan_shard_mapping() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n for s in 0..64 { assert!(plan.shard_to_node.contains_key(&s)); }\n let g0 = topo.group(0).unwrap();\n for (_, nid) in &plan.shard_to_node { assert!(g0.nodes().contains(nid)); }\n }\n\n #[test]\n fn test_plan_hedging() {\n let mut topo = Topology::new(64, 1, 1);\n topo.add_node(Node::new(NodeId::new(\"n0\".into()), \"http://n0:7700\".into(), 0));\n assert!(!plan_search_scatter(&topo, 0, 1, 64).hedging_eligible);\n assert!(plan_search_scatter(&make_test_topology(), 0, 2, 64).hedging_eligible);\n }\n\n #[tokio::test]\n async fn test_scatter_mock() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"doc1\"}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n let r = execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial).await.unwrap();\n assert!(!r.partial);\n assert_eq!(r.shard_pages.len(), 64);\n }\n\n #[tokio::test]\n async fn test_scatter_partial() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.errors.insert(NodeId::new(\"node-0\".into()), NodeError::Timeout);\n let r = execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial).await.unwrap();\n assert!(r.partial);\n }\n\n #[tokio::test]\n async fn test_scatter_error_policy() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.errors.insert(NodeId::new(\"node-0\".into()), NodeError::Timeout);\n assert!(execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Error).await.is_err());\n }\n\n #[test]\n fn test_plan_invalid_group() {\n assert!(plan_search_scatter(&Topology::new(64, 0, 1), 0, 1, 64).shard_to_node.is_empty());\n }\n\n #[tokio::test]\n async fn test_scatter_node_not_in_topo() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let r = execute_scatter(plan, &MockNodeClient::default(), make_req(), &Topology::new(64, 2, 2), UnavailableShardPolicy::Partial).await.unwrap();\n assert!(r.partial);\n }\n\n #[tokio::test]\n async fn test_sg_rrf() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\", \"_rankingScore\": 0.9}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n let s = crate::merger::RrfStrategy::default_strategy();\n let r = scatter_gather_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap();\n assert!(!r.degraded);\n }\n\n #[tokio::test]\n async fn test_sg_degraded() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\"}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n c.errors.insert(NodeId::new(\"node-2\".into()), NodeError::Timeout);\n let s = crate::merger::RrfStrategy::default_strategy();\n assert!(scatter_gather_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap().degraded);\n }\n\n #[test]\n fn test_extract_query_terms() {\n assert_eq!(extract_query_terms(&Some(\"hello world hello\".into())), vec![\"hello\", \"world\"]);\n assert!(extract_query_terms(&None).is_empty());\n }\n\n #[test]\n fn test_global_idf_aggregation() {\n let resp = vec![\n PreflightResponse { total_docs: 50000, avg_doc_length: 50.0, term_stats: HashMap::from([(\"a\".into(), TermStats { df: 5000 })]) },\n PreflightResponse { total_docs: 50000, avg_doc_length: 60.0, term_stats: HashMap::from([(\"a\".into(), TermStats { df: 4500 })]) },\n ];\n let g = GlobalIdf::from_preflight_responses(&resp);\n assert_eq!(g.total_docs, 100000);\n assert!((g.avg_doc_length - 55.0).abs() < 0.001);\n assert_eq!(g.terms.get(\"a\").unwrap().df, 9500);\n }\n\n #[test]\n fn test_global_idf_empty() {\n let g = GlobalIdf::from_preflight_responses(&[]);\n assert_eq!(g.total_docs, 0);\n assert!(g.terms.is_empty());\n }\n\n #[tokio::test]\n async fn test_execute_preflight() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 30000, avg_doc_length: 50.0,\n term_stats: HashMap::from([(\"search\".into(), TermStats { df: 3000 })]),\n });\n c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n total_docs: 30000, avg_doc_length: 55.0,\n term_stats: HashMap::from([(\"search\".into(), TermStats { df: 2500 })]),\n });\n c.preflight_responses.insert(NodeId::new(\"node-2\".into()), PreflightResponse {\n total_docs: 40000, avg_doc_length: 52.0,\n term_stats: HashMap::from([(\"search\".into(), TermStats { df: 4000 })]),\n });\n let req = PreflightRequest { index_uid: \"test\".into(), terms: vec![\"search\".into()], filter: None };\n let g = execute_preflight(&plan, &c, &req, &topo).await.unwrap();\n assert_eq!(g.total_docs, 100000);\n assert_eq!(g.terms.get(\"search\").unwrap().df, 9500);\n }\n\n #[tokio::test]\n async fn test_dfs_query_then_fetch() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\", \"_rankingScore\": 0.9}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 50000, avg_doc_length: 50.0,\n term_stats: HashMap::from([(\"test\".into(), TermStats { df: 500 })]),\n });\n let s = crate::merger::RrfStrategy::default_strategy();\n let r = dfs_query_then_fetch_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap();\n assert!(!r.degraded);\n assert!(!r.hits.is_empty());\n }\n\n /// Integration test for dfs_query_then_fetch with severely skewed shard distribution.\n ///\n /// This test simulates the scenario described in miroir-yio:\n /// - Shard 0: Normal (1,000 docs, term df = 100)\n /// - Shard 1: 100x normal (100,000 docs, term df = 10,000)\n /// - Shard 2: Near-empty (10 docs, term df = 1)\n ///\n /// Without global IDF preflight, each shard would compute different local IDF values:\n /// - Shard 0: IDF ≈ log((1000 - 100 + 0.5) / (100 + 0.5)) + 1 ≈ 2.3\n /// - Shard 1: IDF ≈ log((100000 - 10000 + 0.5) / (10000 + 0.5)) + 1 ≈ 2.3\n /// - Shard 2: IDF ≈ log((10 - 1 + 0.5) / (1 + 0.5)) + 1 ≈ 2.8\n ///\n /// With global IDF preflight, all shards use the same IDF:\n /// - Global: N = 101,010, df = 10,101\n /// - IDF ≈ log((101010 - 10101 + 0.5) / (10101 + 0.5)) + 1 ≈ 2.3\n ///\n /// This ensures scores are comparable across shards, enabling correct score-based merge.\n #[tokio::test]\n async fn test_dfs_skewed_shards_global_idf_aggregation() {\n let mut topo = Topology::new(3, 1, 1);\n topo.add_node(Node::new(NodeId::new(\"node-0\".into()), \"http://node-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-1\".into()), \"http://node-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-2\".into()), \"http://node-2:7700\".into(), 0));\n\n let plan = plan_search_scatter(&topo, 0, 1, 3);\n\n // Simulate severely skewed shard distribution\n let mut c = MockNodeClient::default();\n\n // Shard 0: Normal distribution\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 1000,\n avg_doc_length: 50.0,\n term_stats: HashMap::from([\n (\"machine\".into(), TermStats { df: 100 }),\n (\"learning\".into(), TermStats { df: 80 }),\n ]),\n });\n\n // Shard 1: 100x normal (severely skewed)\n c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n total_docs: 100_000,\n avg_doc_length: 55.0,\n term_stats: HashMap::from([\n (\"machine\".into(), TermStats { df: 10_000 }),\n (\"learning\".into(), TermStats { df: 8_000 }),\n ]),\n });\n\n // Shard 2: Near-empty\n c.preflight_responses.insert(NodeId::new(\"node-2\".into()), PreflightResponse {\n total_docs: 10,\n avg_doc_length: 45.0,\n term_stats: HashMap::from([\n (\"machine\".into(), TermStats { df: 1 }),\n (\"learning\".into(), TermStats { df: 1 }),\n ]),\n });\n\n // Execute preflight to get global IDF\n let preflight_req = PreflightRequest {\n index_uid: \"test\".into(),\n terms: vec![\"machine\".into(), \"learning\".into()],\n filter: None,\n };\n\n let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n\n // Verify global aggregation\n assert_eq!(global_idf.total_docs, 101_010);\n assert_eq!(global_idf.terms.get(\"machine\").unwrap().df, 10_101);\n assert_eq!(global_idf.terms.get(\"learning\").unwrap().df, 8_081);\n\n // Verify global IDF is the same for all shards\n // Expected IDF for \"machine\": log((101010 - 10101 + 0.5) / (10101 + 0.5)) + 1\n let expected_idf_machine: f64 = ((101010.0_f64 - 10101.0 + 0.5) / (10101.0 + 0.5)).ln() + 1.0;\n let actual_idf_machine = global_idf.terms.get(\"machine\").unwrap().idf;\n assert!((actual_idf_machine - expected_idf_machine).abs() < 0.001);\n\n // Expected IDF for \"learning\": log((101010 - 8081 + 0.5) / (8081 + 0.5)) + 1\n let expected_idf_learning: f64 = ((101010.0_f64 - 8081.0 + 0.5) / (8081.0 + 0.5)).ln() + 1.0;\n let actual_idf_learning = global_idf.terms.get(\"learning\").unwrap().idf;\n assert!((actual_idf_learning - expected_idf_learning).abs() < 0.001);\n\n // Verify that without global IDF, local IDF values would differ significantly\n // Shard 0 local IDF for \"machine\": log((1000 - 100 + 0.5) / (100 + 0.5)) + 1 ≈ 3.19\n // Shard 1 local IDF for \"machine\": log((100000 - 10000 + 0.5) / (10000 + 0.5)) + 1 ≈ 3.20\n // Shard 2 local IDF for \"machine\": log((10 - 1 + 0.5) / (1 + 0.5)) + 1 ≈ 2.85\n let local_idf_shard_0: f64 = ((1000.0_f64 - 100.0 + 0.5) / (100.0 + 0.5)).ln() + 1.0;\n let local_idf_shard_2: f64 = ((10.0_f64 - 1.0 + 0.5) / (1.0 + 0.5)).ln() + 1.0;\n assert!((local_idf_shard_2 - local_idf_shard_0).abs() > 0.2, \"Local IDF values should differ significantly\");\n assert!((local_idf_shard_2 - actual_idf_machine).abs() > 0.3, \"Global IDF should be closer to large-shard local IDF\");\n }\n\n /// Test that DFS preflight handles empty query terms gracefully.\n #[tokio::test]\n async fn test_dfs_empty_query_terms() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let c = MockNodeClient::default();\n\n let preflight_req = PreflightRequest {\n index_uid: \"test\".into(),\n terms: vec![],\n filter: None,\n };\n\n let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n assert_eq!(global_idf.total_docs, 0);\n assert!(global_idf.terms.is_empty());\n }\n\n /// Test that DFS preflight handles partial failures gracefully.\n #[tokio::test]\n async fn test_dfs_partial_failure() {\n let mut topo = Topology::new(3, 1, 1);\n topo.add_node(Node::new(NodeId::new(\"node-0\".into()), \"http://node-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-1\".into()), \"http://node-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-2\".into()), \"http://node-2:7700\".into(), 0));\n\n let plan = plan_search_scatter(&topo, 0, 1, 3);\n let mut c = MockNodeClient::default();\n\n // Node 0 returns valid data\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 50000,\n avg_doc_length: 50.0,\n term_stats: HashMap::from([(\"test\".into(), TermStats { df: 5000 })]),\n });\n\n // Node 1 returns valid data\n c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n total_docs: 30000,\n avg_doc_length: 55.0,\n term_stats: HashMap::from([(\"test\".into(), TermStats { df: 3000 })]),\n });\n\n // Node 2 fails\n c.errors.insert(NodeId::new(\"node-2\".into()), NodeError::Timeout);\n\n let preflight_req = PreflightRequest {\n index_uid: \"test\".into(),\n terms: vec![\"test\".into()],\n filter: None,\n };\n\n // Should aggregate from successful nodes only\n let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n assert_eq!(global_idf.total_docs, 80000);\n assert_eq!(global_idf.terms.get(\"test\").unwrap().df, 8000);\n }\n\n /// Test that to_node_body correctly injects showRankingScore: true and sets limit to offset + limit.\n #[test]\n fn test_to_node_body_injects_show_ranking_score() {\n let req = SearchRequest {\n index_uid: \"test\".into(),\n query: Some(\"rust programming\".into()),\n offset: 10,\n limit: 20,\n filter: Some(serde_json::json!(\"status = published\")),\n facets: Some(vec![\"category\".into(), \"tags\".into()]),\n ranking_score: false, // Client didn't request scores\n body: serde_json::json!({\"custom\": \"field\"}),\n global_idf: None,\n };\n\n let body = req.to_node_body();\n\n // showRankingScore must be true unconditionally\n assert_eq!(body.get(\"showRankingScore\"), Some(&serde_json::json!(true)));\n\n // limit must be offset + limit (coordinator pagination)\n assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(30)));\n\n // offset must be 0 (coordinator handles offset)\n assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n\n // query must be set\n assert_eq!(body.get(\"q\"), Some(&serde_json::json!(\"rust programming\")));\n\n // filter must be set\n assert_eq!(body.get(\"filter\"), Some(&serde_json::json!(\"status = published\")));\n\n // facets must be set\n assert_eq!(body.get(\"facets\"), Some(&serde_json::json!([\"category\", \"tags\"])));\n\n // custom body field must be preserved\n assert_eq!(body.get(\"custom\"), Some(&serde_json::json!(\"field\")));\n }\n\n /// Test that to_node_body works with minimal request.\n #[test]\n fn test_to_node_body_minimal_request() {\n let req = SearchRequest {\n index_uid: \"test\".into(),\n query: None,\n offset: 0,\n limit: 10,\n filter: None,\n facets: None,\n ranking_score: true, // Client requested scores\n body: serde_json::json!({}),\n global_idf: None,\n };\n\n let body = req.to_node_body();\n\n // showRankingScore must be true unconditionally\n assert_eq!(body.get(\"showRankingScore\"), Some(&serde_json::json!(true)));\n\n // limit must be offset + limit = 10\n assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(10)));\n\n // offset must be 0\n assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n }\n\n /// Test that to_node_body handles large offset/limit correctly.\n #[test]\n fn test_to_node_body_pagination() {\n let req = SearchRequest {\n index_uid: \"test\".into(),\n query: Some(\"test\".into()),\n offset: 100,\n limit: 50,\n filter: None,\n facets: None,\n ranking_score: false,\n body: serde_json::json!({}),\n global_idf: None,\n };\n\n let body = req.to_node_body();\n\n // limit must be offset + limit = 150 (fetch enough for coordinator pagination)\n assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(150)));\n\n // offset must be 0 (coordinator handles offset)\n assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n }\n\n /// Test group fallback when primary group has failed nodes.\n #[tokio::test]\n async fn test_group_fallback_on_partial_failure() {\n let mut topo = Topology::new(16, 2, 2);\n // Group 0: 2 nodes\n topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n // Group 1: 2 nodes (healthy fallback targets)\n topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n\n let plan = plan_search_scatter(&topo, 0, 2, 16); // query_seq=0 → group 0\n assert_eq!(plan.chosen_group, 0);\n\n let mut c = MockNodeClient::default();\n\n // Set up responses: all shards on group 1 nodes return valid data\n let response_1 = serde_json::json!({\n \"hits\": [{\"id\": \"doc1\", \"_rankingScore\": 0.9}],\n \"estimatedTotalHits\": 1,\n \"processingTimeMs\": 5,\n });\n c.responses.insert(NodeId::new(\"node-g1-0\".into()), response_1.clone());\n c.responses.insert(NodeId::new(\"node-g1-1\".into()), response_1);\n\n // All nodes in group 0 fail\n c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g1-0\".into()), NodeError::Timeout);\n\n let req = make_req();\n\n // With fallback policy, shards should succeed via group 1\n let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Fallback).await.unwrap();\n\n // Should have succeeded via fallback (group 1)\n assert!(!result.partial, \"Fallback should have succeeded\");\n assert!(result.failed_shards.is_empty(), \"No shards should have failed after fallback\");\n assert!(!result.shard_pages.is_empty(), \"Should have shard pages from fallback\");\n }\n\n /// Test group fallback when both groups are down.\n #[tokio::test]\n async fn test_group_fallback_all_groups_down() {\n let mut topo = Topology::new(16, 2, 2);\n topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n\n let plan = plan_search_scatter(&topo, 0, 2, 16);\n let mut c = MockNodeClient::default();\n\n // All nodes fail\n c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g0-1\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g1-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g1-1\".into()), NodeError::Timeout);\n\n let req = make_req();\n\n // With fallback policy, should still fail when all groups are down\n let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Fallback).await.unwrap();\n\n assert!(result.partial, \"Should be partial when all groups fail\");\n assert!(!result.failed_shards.is_empty(), \"Should have failed shards\");\n }\n\n /// Test that partial policy does NOT use fallback.\n #[tokio::test]\n async fn test_partial_policy_no_fallback() {\n let mut topo = Topology::new(16, 2, 2);\n topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n\n let plan = plan_search_scatter(&topo, 0, 2, 16);\n let mut c = MockNodeClient::default();\n\n // Group 1 nodes are healthy but partial policy shouldn't use them\n c.responses.insert(NodeId::new(\"node-g1-0\".into()), serde_json::json!({\n \"hits\": [{\"id\": \"fallback-doc\"}],\n \"estimatedTotalHits\": 1,\n }));\n\n // Group 0 nodes fail\n c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g0-1\".into()), NodeError::Timeout);\n\n let req = make_req();\n\n // With partial policy, should NOT use fallback\n let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Partial).await.unwrap();\n\n assert!(result.partial, \"Should be partial\");\n assert!(!result.failed_shards.is_empty(), \"Should have failed shards\");\n // Should NOT have any successful pages (fallback not used)\n assert!(result.shard_pages.is_empty(), \"Partial policy should not use fallback\");\n }\n}\n","structuredPatch":[{"oldStart":215,"oldLines":39,"newStart":215,"newLines":42,"lines":[" // ---------------------------------------------------------------------------"," "," /// HTTP client for communicating with a Meilisearch node.","-#[allow(async_fn_in_trait)]"," pub trait NodeClient: Send + Sync {","- async fn search_node(","+ fn search_node("," &self,"," node: &NodeId,"," address: &str,"," request: &SearchRequest,","- ) -> std::result::Result;","+ ) -> impl std::future::Future> + Send;"," "," /// Execute a preflight request (OP#4 global-IDF phase).","- async fn preflight_node(","+ fn preflight_node("," &self,"," _node: &NodeId,"," _address: &str,"," _request: &PreflightRequest,","- ) -> std::result::Result {","- Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })","+ }"," }"," "," /// Write documents to a node (add/replace).","- async fn write_documents(","+ fn write_documents("," &self,"," _node: &NodeId,"," _address: &str,"," _request: &WriteRequest,","- ) -> std::result::Result {","- Ok(WriteResponse {","- success: false,","- task_uid: None,","- message: Some(\"not implemented\".to_string()),","- code: None,","- error_type: None,","- })","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(WriteResponse {","+ success: false,","+ task_uid: None,","+ message: Some(\"not implemented\".to_string()),","+ code: None,","+ error_type: None,","+ })","+ }"," }"," "," /// Get task status from a node."]},{"oldStart":268,"oldLines":50,"newStart":271,"newLines":56,"lines":[" }"," "," /// Delete documents by IDs from a node.","- async fn delete_documents(","+ fn delete_documents("," &self,"," _node: &NodeId,"," _address: &str,"," _request: &DeleteByIdsRequest,","- ) -> std::result::Result {","- Ok(DeleteResponse {","- success: false,","- task_uid: None,","- message: Some(\"not implemented\".to_string()),","- code: None,","- error_type: None,","- })","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(DeleteResponse {","+ success: false,","+ task_uid: None,","+ message: Some(\"not implemented\".to_string()),","+ code: None,","+ error_type: None,","+ })","+ }"," }"," "," /// Delete all documents matching a filter from a node.","- async fn delete_documents_by_filter(","+ fn delete_documents_by_filter("," &self,"," _node: &NodeId,"," _address: &str,"," _request: &DeleteByFilterRequest,","- ) -> std::result::Result {","- Ok(DeleteResponse {","- success: false,","- task_uid: None,","- message: Some(\"not implemented\".to_string()),","- code: None,","- error_type: None,","- })","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(DeleteResponse {","+ success: false,","+ task_uid: None,","+ message: Some(\"not implemented\".to_string()),","+ code: None,","+ error_type: None,","+ })","+ }"," }"," "," /// Fetch documents with a filter from a node (used for shard migration).","- async fn fetch_documents(","+ fn fetch_documents("," &self,"," _node: &NodeId,"," _address: &str,"," _request: &FetchDocumentsRequest,","- ) -> std::result::Result {","- Ok(FetchDocumentsResponse {","- results: Vec::new(),","- limit: _request.limit,","- offset: _request.offset,","- total: 0,","- })","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(FetchDocumentsResponse {","+ results: Vec::new(),","+ limit: _request.limit,","+ offset: _request.offset,","+ total: 0,","+ })","+ }"," }"," }"," "]}],"userModified":false,"replaceAll":false}} 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avg_doc_length: 50.0, term_stats: HashMap::new() }\\n }))\\n }\\n\\n async fn write_documents(\\n &self, node: &NodeId, _address: &str, _request: &WriteRequest,\\n ) -> std::result::Result {\\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\\n Ok(WriteResponse {\\n success: true,\\n task_uid: Some(1),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n\\n async fn delete_documents(\\n &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\\n ) -> std::result::Result {\\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\\n Ok(DeleteResponse {\\n success: true,\\n task_uid: Some(1),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n\\n async fn delete_documents_by_filter(\\n &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\\n ) -> std::result::Result {\\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\\n Ok(DeleteResponse {\\n success: true,\\n task_uid: Some(1),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n\\n async fn fetch_documents(\\n &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\\n ) -> std::result::Result {\\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\\n Ok(FetchDocumentsResponse {\\n results: Vec::new(),\\n limit: request.limit,\\n offset: request.offset,\\n total: 0,\\n })\\n }\\n\\n fn get_task_status(\\n &self,\\n node: &NodeId,\\n _address: &str,\\n _request: &TaskStatusRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let task_uid = _request.task_uid;\\n let error = self.errors.get(&node).cloned();\\n async move {\\n if let Some(err) = error {\\n return Err(err);\\n }\\n Ok(TaskStatusResponse {\\n task_uid,\\n status: \\\"succeeded\\\".to_string(),\\n error: None,\\n error_type: None,\\n })\\n }\\n }\\n}\",\"new_string\":\"impl NodeClient for MockNodeClient {\\n fn search_node(\\n &self, node: &NodeId, _address: &str, _request: &SearchRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let err = self.errors.get(&node).cloned();\\n let response = self.responses.get(&node).cloned();\\n async move {\\n if let Some(e) = err {\\n return Err(e);\\n }\\n Ok(response.unwrap_or_else(|| {\\n serde_json::json!({\\\"hits\\\": [], \\\"estimatedTotalHits\\\": 0, \\\"processingTimeMs\\\": 0, \\\"facetDistribution\\\": {}})\\n }))\\n }\\n }\\n\\n fn preflight_node(\\n &self, node: &NodeId, _address: &str, _request: &PreflightRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let err = self.errors.get(&node).cloned();\\n let response = self.preflight_responses.get(&node).cloned();\\n async move {\\n if let Some(e) = err {\\n return Err(e);\\n }\\n Ok(response.unwrap_or_else(|| {\\n PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }\\n }))\\n }\\n }\\n\\n fn write_documents(\\n &self, node: &NodeId, _address: &str, _request: &WriteRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let err = self.errors.get(&node).cloned();\\n async move {\\n if let Some(e) = err {\\n return Err(e);\\n }\\n Ok(WriteResponse {\\n success: true,\\n task_uid: Some(1),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n fn delete_documents(\\n &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let err = self.errors.get(&node).cloned();\\n async move {\\n if let Some(e) = err {\\n return Err(e);\\n }\\n Ok(DeleteResponse {\\n success: true,\\n task_uid: Some(1),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n fn delete_documents_by_filter(\\n &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let err = self.errors.get(&node).cloned();\\n async move {\\n if let Some(e) = err {\\n return Err(e);\\n }\\n Ok(DeleteResponse {\\n success: true,\\n task_uid: Some(1),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n fn fetch_documents(\\n &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let err = self.errors.get(&node).cloned();\\n let limit = request.limit;\\n let offset = request.offset;\\n async move {\\n if let Some(e) = err {\\n return Err(e);\\n }\\n Ok(FetchDocumentsResponse {\\n results: Vec::new(),\\n limit,\\n offset,\\n total: 0,\\n })\\n }\\n }\\n\\n fn get_task_status(\\n &self,\\n node: &NodeId,\\n _address: &str,\\n _request: &TaskStatusRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let task_uid = _request.task_uid;\\n let error = self.errors.get(&node).cloned();\\n async move {\\n if let Some(err) = error {\\n return Err(err);\\n }\\n Ok(TaskStatusResponse {\\n task_uid,\\n status: \\\"succeeded\\\".to_string(),\\n error: None,\\n error_type: None,\\n })\\n }\\n }\\n}\"}"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"07b9f73c-bfe4-48e2-bde0-278b7af1901f"} +{"type":"assistant","message":{"id":"msg_202605232043403d765a4202de465a","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_198e8c4dc3094b338a534f9a","name":"Edit","input":{"replace_all":false,"file_path":"/home/coding/miroir/crates/miroir-core/src/scatter.rs","old_string":"impl NodeClient for MockNodeClient {\n async fn search_node(\n &self, node: &NodeId, _address: &str, _request: &SearchRequest,\n ) -> std::result::Result {\n let _ = self.delay_ms;\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.responses.get(node).cloned().unwrap_or_else(|| {\n serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})\n }))\n }\n\n async fn preflight_node(\n &self, node: &NodeId, _address: &str, _request: &PreflightRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.preflight_responses.get(node).cloned().unwrap_or_else(|| {\n PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }\n }))\n }\n\n async fn write_documents(\n &self, node: &NodeId, _address: &str, _request: &WriteRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(WriteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents(\n &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents_by_filter(\n &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn fetch_documents(\n &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: request.limit,\n offset: request.offset,\n total: 0,\n })\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let task_uid = _request.task_uid;\n let error = self.errors.get(&node).cloned();\n async move {\n if let Some(err) = error {\n return Err(err);\n }\n Ok(TaskStatusResponse {\n task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n}","new_string":"impl NodeClient for MockNodeClient {\n fn search_node(\n &self, node: &NodeId, _address: &str, _request: &SearchRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n let response = self.responses.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(response.unwrap_or_else(|| {\n serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})\n }))\n }\n }\n\n fn preflight_node(\n &self, node: &NodeId, _address: &str, _request: &PreflightRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n let response = self.preflight_responses.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(response.unwrap_or_else(|| {\n PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }\n }))\n }\n }\n\n fn write_documents(\n &self, node: &NodeId, _address: &str, _request: &WriteRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(WriteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents(\n &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents_by_filter(\n &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn fetch_documents(\n &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n let limit = request.limit;\n let offset = request.offset;\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit,\n offset,\n total: 0,\n })\n }\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let task_uid = _request.task_uid;\n let error = self.errors.get(&node).cloned();\n async move {\n if let Some(err) = error {\n return Err(err);\n }\n Ok(TaskStatusResponse {\n task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n}"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"a618dbc1-3759-49bc-a22d-ffe1c9fd80a9"} +{"type":"stream_event","event":{"type":"content_block_stop","index":1},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"fed33c58-de14-4447-a400-6cc650de0a84"} +{"type":"stream_event","event":{"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":1275,"output_tokens":1892,"cache_read_input_tokens":64960,"server_tool_use":{"web_search_requests":0},"service_tier":"standard"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"14cecc2f-3243-4948-bbdf-2973929325b1"} +{"type":"stream_event","event":{"type":"message_stop"},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"f405c03c-b859-4286-86c7-179a80da6168"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_198e8c4dc3094b338a534f9a","type":"tool_result","content":"The file /home/coding/miroir/crates/miroir-core/src/scatter.rs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"29cd1c01-5164-42d5-ad14-b32a9c6d9817","timestamp":"2026-05-23T12:43:54.383Z","tool_use_result":{"filePath":"/home/coding/miroir/crates/miroir-core/src/scatter.rs","oldString":"impl NodeClient for MockNodeClient {\n async fn search_node(\n &self, node: &NodeId, _address: &str, _request: &SearchRequest,\n ) -> std::result::Result {\n let _ = self.delay_ms;\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.responses.get(node).cloned().unwrap_or_else(|| {\n serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})\n }))\n }\n\n async fn preflight_node(\n &self, node: &NodeId, _address: &str, _request: &PreflightRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.preflight_responses.get(node).cloned().unwrap_or_else(|| {\n PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }\n }))\n }\n\n async fn write_documents(\n &self, node: &NodeId, _address: &str, _request: &WriteRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(WriteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents(\n &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents_by_filter(\n &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn fetch_documents(\n &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: request.limit,\n offset: request.offset,\n total: 0,\n })\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let task_uid = _request.task_uid;\n let error = self.errors.get(&node).cloned();\n async move {\n if let Some(err) = error {\n return Err(err);\n }\n Ok(TaskStatusResponse {\n task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n}","newString":"impl NodeClient for MockNodeClient {\n fn search_node(\n &self, node: &NodeId, _address: &str, _request: &SearchRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n let response = self.responses.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(response.unwrap_or_else(|| {\n serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})\n }))\n }\n }\n\n fn preflight_node(\n &self, node: &NodeId, _address: &str, _request: &PreflightRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n let response = self.preflight_responses.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(response.unwrap_or_else(|| {\n PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }\n }))\n }\n }\n\n fn write_documents(\n &self, node: &NodeId, _address: &str, _request: &WriteRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(WriteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents(\n &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents_by_filter(\n &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn fetch_documents(\n &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let err = self.errors.get(&node).cloned();\n let limit = request.limit;\n let offset = request.offset;\n async move {\n if let Some(e) = err {\n return Err(e);\n }\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit,\n offset,\n total: 0,\n })\n }\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let task_uid = _request.task_uid;\n let error = self.errors.get(&node).cloned();\n async move {\n if let Some(err) = error {\n return Err(err);\n }\n Ok(TaskStatusResponse {\n task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n}","originalFile":"//! Scatter orchestration: fan-out logic and covering set builder.\n\nuse crate::config::UnavailableShardPolicy;\nuse tracing::{instrument, info_span, Instrument};\nuse crate::merger::{MergeInput, MergedSearchResult, MergeStrategy, ShardHitPage};\nuse crate::router::{covering_set, covering_set_with_version_floor, query_group};\nuse crate::topology::{NodeId, Topology};\nuse crate::Result;\nuse serde::{Deserialize, Serialize};\nuse serde_json::Value;\nuse std::collections::HashMap;\n\n/// Scatter plan: the exact shard→node mapping for a search query.\n#[derive(Debug, Clone)]\npub struct ScatterPlan {\n pub chosen_group: u32,\n pub target_shards: Vec,\n pub shard_to_node: HashMap,\n pub deadline_ms: u32,\n pub hedging_eligible: bool,\n}\n\n// ---------------------------------------------------------------------------\n// §15 OP#4: Global-IDF preflight (dfs_query_then_fetch pattern)\n// ---------------------------------------------------------------------------\n\n/// Per-term document frequency from a single shard.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct TermStats {\n pub df: u64,\n}\n\n/// Preflight request: gather term-frequency statistics from a shard.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct PreflightRequest {\n pub index_uid: String,\n pub terms: Vec,\n pub filter: Option,\n}\n\n/// Response from a shard's preflight query.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct PreflightResponse {\n pub total_docs: u64,\n pub avg_doc_length: f64,\n pub term_stats: HashMap,\n}\n\n/// Aggregated global term statistics after coordinator aggregation.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct GlobalTermStats {\n pub df: u64,\n pub idf: f64,\n}\n\n/// Aggregated global IDF data computed at the coordinator.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct GlobalIdf {\n pub total_docs: u64,\n pub avg_doc_length: f64,\n pub terms: HashMap,\n}\n\nimpl GlobalIdf {\n /// Aggregate per-shard preflight responses into global IDF.\n pub fn from_preflight_responses(responses: &[PreflightResponse]) -> Self {\n let mut total_docs = 0u64;\n let mut total_length = 0.0f64;\n let mut term_df: HashMap = HashMap::new();\n\n for resp in responses {\n total_docs += resp.total_docs;\n total_length += resp.avg_doc_length * resp.total_docs as f64;\n for (term, stats) in &resp.term_stats {\n *term_df.entry(term.clone()).or_insert(0) += stats.df;\n }\n }\n\n let avg_doc_length = if total_docs > 0 {\n total_length / total_docs as f64\n } else {\n 0.0\n };\n\n let n = total_docs as f64;\n let terms = term_df\n .into_iter()\n .map(|(term, df)| {\n let idf = if df == 0 {\n 0.0\n } else {\n ((n - df as f64 + 0.5) / (df as f64 + 0.5)).ln() + 1.0\n };\n (term, GlobalTermStats { df, idf })\n })\n .collect();\n\n Self { total_docs, avg_doc_length, terms }\n }\n}\n\n// ---------------------------------------------------------------------------\n// NodeClient trait\n// ---------------------------------------------------------------------------\n\n// ---------------------------------------------------------------------------\n// Write path: document operations (P2.2)\n// ---------------------------------------------------------------------------\n\n/// Request to add/replace documents on a node.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct WriteRequest {\n pub index_uid: String,\n pub documents: Vec,\n pub primary_key: Option,\n /// Internal origin tag for CDC event suppression (plan §13.13).\n /// - None = client write (always emitted to CDC)\n /// - Some(\"antientropy\") = anti-entropy repair write (suppressed unless emit_internal_writes)\n /// - Some(\"reshard_backfill\") = reshard backfill write (suppressed unless emit_internal_writes)\n /// - Some(\"rollover\") = ILM rollover write (suppressed unless emit_internal_writes)\n /// - Some(\"ttl_expire\") = TTL expiration delete (suppressed unless emit_ttl_deletes)\n ///\n /// This field is NEVER stored on documents and never returned to clients.\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub origin: Option,\n}\n\n/// Response from a single node's document write operation.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct WriteResponse {\n pub success: bool,\n pub task_uid: Option,\n pub message: Option,\n pub code: Option,\n pub error_type: Option,\n}\n\n/// Request to delete documents by IDs.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct DeleteByIdsRequest {\n pub index_uid: String,\n pub ids: Vec,\n /// Internal origin tag for CDC event suppression (plan §13.13).\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub origin: Option,\n}\n\n/// Request to delete all documents matching a filter.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct DeleteByFilterRequest {\n pub index_uid: String,\n pub filter: Value,\n /// Internal origin tag for CDC event suppression (plan §13.13).\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub origin: Option,\n}\n\n/// Response from a delete operation.\npub type DeleteResponse = WriteResponse;\n\n/// Request to fetch documents with a filter (used for shard migration).\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct FetchDocumentsRequest {\n pub index_uid: String,\n pub filter: Value,\n pub limit: u32,\n pub offset: u32,\n}\n\n/// Response from a fetch documents operation.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct FetchDocumentsResponse {\n pub results: Vec,\n pub limit: u32,\n pub offset: u32,\n pub total: u64,\n}\n\n/// Request to get task status from a node.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct TaskStatusRequest {\n /// The task UID to query\n pub task_uid: u64,\n}\n\n/// Response from a single node's task status query.\n#[derive(Debug, Clone, Serialize, Deserialize)]\npub struct TaskStatusResponse {\n /// The task UID\n pub task_uid: u64,\n /// Current task status\n pub status: String,\n /// Error message if failed\n pub error: Option,\n /// Error type if failed\n #[serde(rename = \"type\")]\n pub error_type: Option,\n}\n\nimpl TaskStatusResponse {\n /// Convert Meilisearch status string to NodeTaskStatus.\n pub fn to_node_status(&self) -> crate::task::NodeTaskStatus {\n match self.status.as_str() {\n \"enqueued\" => crate::task::NodeTaskStatus::Enqueued,\n \"processing\" => crate::task::NodeTaskStatus::Processing,\n \"succeeded\" => crate::task::NodeTaskStatus::Succeeded,\n \"failed\" => crate::task::NodeTaskStatus::Failed,\n _ => crate::task::NodeTaskStatus::Enqueued,\n }\n }\n}\n\n// ---------------------------------------------------------------------------\n// NodeClient trait\n// ---------------------------------------------------------------------------\n\n/// HTTP client for communicating with a Meilisearch node.\npub trait NodeClient: Send + Sync {\n fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send;\n\n /// Execute a preflight request (OP#4 global-IDF phase).\n fn preflight_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &PreflightRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(PreflightResponse { total_docs: 0, avg_doc_length: 0.0, term_stats: HashMap::new() })\n }\n }\n\n /// Write documents to a node (add/replace).\n fn write_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &WriteRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n }\n\n /// Get task status from a node.\n fn get_task_status(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(TaskStatusResponse {\n task_uid: _request.task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n\n /// Delete documents by IDs from a node.\n fn delete_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n }\n\n /// Delete all documents matching a filter from a node.\n fn delete_documents_by_filter(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: Some(\"not implemented\".to_string()),\n code: None,\n error_type: None,\n })\n }\n }\n\n /// Fetch documents with a filter from a node (used for shard migration).\n fn fetch_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: _request.limit,\n offset: _request.offset,\n total: 0,\n })\n }\n }\n}\n\n#[derive(Debug, Clone)]\npub enum NodeError {\n Timeout,\n HttpError { status: u16, body: String },\n NetworkError(String),\n}\n\n#[derive(Debug, Clone)]\npub struct SearchRequest {\n pub index_uid: String,\n pub query: Option,\n pub offset: usize,\n pub limit: usize,\n pub filter: Option,\n pub facets: Option>,\n pub ranking_score: bool,\n pub body: Value,\n /// Global IDF data from the preflight phase (OP#4).\n pub global_idf: Option,\n}\n\nimpl SearchRequest {\n /// Build the request body for sending to a node.\n ///\n /// Injects `showRankingScore: true` unconditionally so the merger can global-sort.\n /// Each node receives `offset + limit` results to ensure the coordinator has enough\n /// data to apply pagination.\n pub fn to_node_body(&self) -> Value {\n let mut body = self.body.clone();\n\n // Inject showRankingScore: true unconditionally for global sorting\n body[\"showRankingScore\"] = serde_json::json!(true);\n\n // Set limit to offset + limit so we get enough results for pagination\n // (coordinator applies final offset/limit after merging)\n body[\"limit\"] = serde_json::json!(self.offset + self.limit);\n\n // Set offset to 0 on individual nodes (coordinator handles offset)\n body[\"offset\"] = serde_json::json!(0);\n\n // Ensure query is set\n if let Some(q) = &self.query {\n body[\"q\"] = serde_json::json!(q);\n }\n\n // Ensure filter is set if provided\n if let Some(filter) = &self.filter {\n body[\"filter\"] = filter.clone();\n }\n\n // Ensure facets are set if provided\n if let Some(facets) = &self.facets {\n body[\"facets\"] = serde_json::json!(facets);\n }\n\n body\n }\n}\n\n#[derive(Debug)]\npub struct ScatterResult {\n pub shard_pages: Vec,\n pub failed_shards: HashMap,\n pub partial: bool,\n pub deadline_exceeded: bool,\n}\n\n#[instrument(skip_all, fields(query_seq, rf, shard_count))]\npub fn plan_search_scatter(\n topology: &Topology,\n query_seq: u64,\n rf: usize,\n shard_count: u32,\n) -> ScatterPlan {\n let chosen_group = query_group(query_seq, topology.replica_group_count());\n\n let group = match topology.group(chosen_group) {\n Some(g) => g,\n None => {\n return ScatterPlan {\n chosen_group, target_shards: Vec::new(),\n shard_to_node: HashMap::new(), deadline_ms: 0, hedging_eligible: false,\n };\n }\n };\n\n let _covering = covering_set(shard_count, group, rf, query_seq);\n\n let mut shard_to_node = HashMap::new();\n for shard_id in 0..shard_count {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n let selected = replicas[(query_seq as usize) % replicas.len()].clone();\n shard_to_node.insert(shard_id, selected);\n }\n\n ScatterPlan {\n chosen_group,\n target_shards: (0..shard_count).collect(),\n shard_to_node,\n deadline_ms: 5000,\n hedging_eligible: group.node_count() > 1,\n }\n}\n\n/// Plan search scatter with settings version floor filtering (plan §13.5).\n///\n/// Excludes nodes whose settings version for the given index is below `floor`.\n/// Returns None if no covering set can be assembled (caller should return 503).\npub fn plan_search_scatter_with_version_floor(\n topology: &Topology,\n query_seq: u64,\n rf: usize,\n shard_count: u32,\n index: &str,\n floor: u64,\n version_checker: &impl Fn(&str, &str) -> u64,\n) -> Option {\n let chosen_group = query_group(query_seq, topology.replica_group_count());\n\n let group = topology.group(chosen_group)?;\n\n let covering = covering_set_with_version_floor(\n shard_count,\n group,\n rf,\n query_seq,\n index,\n floor,\n version_checker,\n )?;\n\n let mut shard_to_node = HashMap::new();\n for shard_id in 0..shard_count {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n // Filter by version floor, then rotate by query_seq\n let eligible: Vec<_> = replicas\n .iter()\n .filter(|node_id| {\n let version = version_checker(index, node_id.as_str());\n version >= floor\n })\n .collect();\n\n if eligible.is_empty() {\n return None;\n }\n\n let selected = eligible[query_seq as usize % eligible.len()];\n shard_to_node.insert(shard_id, selected.clone());\n }\n\n Some(ScatterPlan {\n chosen_group,\n target_shards: (0..shard_count).collect(),\n shard_to_node,\n deadline_ms: 5000,\n hedging_eligible: group.node_count() > 1,\n })\n}\n\n/// Plan search scatter for a specific replica group (plan §13.6 session pinning).\n///\n/// Used when a session has a pending write and needs to read from the pinned group\n/// to ensure read-your-writes consistency.\npub fn plan_search_scatter_for_group(\n topology: &Topology,\n query_seq: u64,\n rf: usize,\n shard_count: u32,\n pinned_group: u32,\n) -> Option {\n let group = topology.group(pinned_group)?;\n\n let mut shard_to_node = HashMap::new();\n for shard_id in 0..shard_count {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), rf);\n if replicas.is_empty() {\n continue;\n }\n let selected = replicas[query_seq as usize % replicas.len()].clone();\n shard_to_node.insert(shard_id, selected);\n }\n\n Some(ScatterPlan {\n chosen_group: pinned_group,\n target_shards: (0..shard_count).collect(),\n shard_to_node,\n deadline_ms: 5000,\n hedging_eligible: group.node_count() > 1,\n })\n}\n\n#[instrument(skip_all, fields(node_count))]\npub async fn execute_scatter(\n plan: ScatterPlan,\n client: &C,\n req: SearchRequest,\n topology: &Topology,\n policy: UnavailableShardPolicy,\n) -> Result {\n let mut node_to_shards: HashMap> = HashMap::new();\n for (&shard_id, node_id) in &plan.shard_to_node {\n if plan.target_shards.contains(&shard_id) {\n node_to_shards.entry(node_id.clone()).or_default().push(shard_id);\n }\n }\n tracing::Span::current().record(\"node_count\", node_to_shards.len());\n\n let mut shard_pages = Vec::new();\n let mut failed_shards = HashMap::new();\n let mut deadline_exceeded = false;\n\n let mut tasks = Vec::new();\n for (node_id, shards) in node_to_shards {\n let node = match topology.node(&node_id) {\n Some(n) => n.clone(),\n None => {\n for shard_id in shards {\n failed_shards.insert(shard_id, NodeError::NetworkError(\"node not in topology\".to_string()));\n }\n continue;\n }\n };\n let client_ref = client;\n let req_clone = req.clone();\n let node_id_clone = node_id.clone();\n let shard_count = shards.len();\n // Create a span for this node's scatter call\n let span = info_span!(\n \"scatter_node\",\n node_id = %node_id_clone,\n address = %node.address,\n shard_count = shard_count,\n );\n tasks.push(async move {\n let result = client_ref.search_node(&node_id_clone, &node.address, &req_clone).await;\n (node_id_clone, shards, result)\n }.instrument(span));\n }\n\n let results = futures_util::future::join_all(tasks).await;\n\n for (_node_id, shards, result) in results {\n match result {\n Ok(body) => {\n for _shard_id in shards {\n shard_pages.push(ShardHitPage { body: body.clone() });\n }\n }\n Err(NodeError::Timeout) => {\n deadline_exceeded = true;\n for shard_id in shards { failed_shards.insert(shard_id, NodeError::Timeout); }\n }\n Err(e) => {\n for shard_id in shards { failed_shards.insert(shard_id, e.clone()); }\n }\n }\n }\n\n let partial = !failed_shards.is_empty();\n\n match policy {\n UnavailableShardPolicy::Error => {\n if !failed_shards.is_empty() {\n return Err(crate::error::MiroirError::Routing(format!(\"{} shard(s) unavailable\", failed_shards.len())));\n }\n }\n UnavailableShardPolicy::Partial => {}\n UnavailableShardPolicy::Fallback => {\n // Group-unavailability fallback: try other replica groups for failed shards\n if !failed_shards.is_empty() {\n let mut fallback_pages = Vec::new();\n let mut remaining_failed = HashMap::new();\n\n for (&shard_id, error) in &failed_shards {\n let mut fallback_succeeded = false;\n\n // Try each other replica group\n for group_id in 0..topology.replica_group_count() {\n if group_id == plan.chosen_group {\n continue; // Skip the already-tried group\n }\n\n if let Some(group) = topology.group(group_id) {\n let replicas = crate::router::assign_shard_in_group(shard_id, group.nodes(), topology.rf());\n if replicas.is_empty() {\n continue;\n }\n\n // Try each replica in the fallback group\n for node_id in replicas {\n if let Some(node) = topology.node(&node_id) {\n match client.search_node(&node_id, &node.address, &req).await {\n Ok(body) => {\n fallback_pages.push(ShardHitPage { body });\n fallback_succeeded = true;\n break;\n }\n Err(_) => {\n continue; // Try next replica\n }\n }\n }\n }\n\n if fallback_succeeded {\n break; // Found a working replica\n }\n }\n }\n\n if !fallback_succeeded {\n remaining_failed.insert(shard_id, error.clone());\n }\n }\n\n // Merge fallback results\n shard_pages.extend(fallback_pages);\n\n // Update failed_shards with only those that truly failed\n if remaining_failed.is_empty() {\n // All shards succeeded via fallback\n return Ok(ScatterResult {\n shard_pages,\n failed_shards: HashMap::new(),\n partial: false,\n deadline_exceeded,\n });\n } else {\n // Some shards still failed\n failed_shards = remaining_failed;\n }\n }\n }\n }\n\n Ok(ScatterResult { shard_pages, failed_shards, partial, deadline_exceeded })\n}\n\n#[instrument(skip_all, fields(index = %req.index_uid))]\npub async fn scatter_gather_search(\n plan: ScatterPlan,\n client: &C,\n req: SearchRequest,\n topology: &Topology,\n policy: UnavailableShardPolicy,\n strategy: &dyn MergeStrategy,\n) -> Result {\n let scatter_result = execute_scatter(plan, client, req.clone(), topology, policy).await?;\n\n let mut shard_pages = scatter_result.shard_pages;\n if scatter_result.partial {\n for shard_id in scatter_result.failed_shards.keys() {\n shard_pages.push(ShardHitPage {\n body: serde_json::json!({\"success\": false, \"message\": format!(\"shard {} unavailable\", shard_id)}),\n });\n }\n }\n\n // Collect failed shard IDs for the X-Miroir-Degraded header\n let failed_shards: Vec = scatter_result.failed_shards.keys().copied().collect();\n\n let merge_input = MergeInput {\n shard_hits: shard_pages,\n offset: req.offset,\n limit: req.limit,\n client_requested_score: req.ranking_score,\n facets: req.facets.clone(),\n failed_shards,\n };\n\n // Span for the merge operation\n let _span = info_span!(\n \"merge\",\n shard_count = merge_input.shard_hits.len(),\n offset = req.offset,\n limit = req.limit,\n ).entered();\n\n strategy.merge(merge_input)\n}\n\n// ---------------------------------------------------------------------------\n// OP#4: Global-IDF preflight execution\n// ---------------------------------------------------------------------------\n\n/// Extract unique query terms from a search query string.\npub fn extract_query_terms(query: &Option) -> Vec {\n match query {\n Some(q) if !q.is_empty() => {\n let mut seen = std::collections::HashSet::new();\n let mut terms = Vec::new();\n for term in q.split_whitespace() {\n let lower = term.to_lowercase();\n if seen.insert(lower.clone()) { terms.push(lower); }\n }\n terms\n }\n _ => Vec::new(),\n }\n}\n\n/// Execute the preflight phase: gather term frequencies from all shards.\n#[instrument(skip_all, fields(node_count, term_count = req.terms.len()))]\npub async fn execute_preflight(\n plan: &ScatterPlan,\n client: &C,\n req: &PreflightRequest,\n topology: &Topology,\n) -> Result {\n if req.terms.is_empty() {\n return Ok(GlobalIdf { total_docs: 0, avg_doc_length: 0.0, terms: HashMap::new() });\n }\n\n let mut node_to_shards: HashMap> = HashMap::new();\n for (&shard_id, node_id) in &plan.shard_to_node {\n if plan.target_shards.contains(&shard_id) {\n node_to_shards.entry(node_id.clone()).or_default().push(shard_id);\n }\n }\n\n let mut tasks = Vec::new();\n for (node_id, _) in node_to_shards {\n let node = match topology.node(&node_id) {\n Some(n) => n.clone(),\n None => continue,\n };\n let client_ref = client;\n let req_clone = req.clone();\n let nid = node_id.clone();\n tasks.push(async move { client_ref.preflight_node(&nid, &node.address, &req_clone).await });\n }\n\n let results = futures_util::future::join_all(tasks).await;\n let responses: Vec = results.into_iter().filter_map(|r| r.ok()).collect();\n Ok(GlobalIdf::from_preflight_responses(&responses))\n}\n\n/// Execute a full dfs_query_then_fetch search (OP#4 global-IDF preflight).\n#[instrument(skip_all, fields(index = %req.index_uid))]\npub async fn dfs_query_then_fetch_search(\n plan: ScatterPlan,\n client: &C,\n req: SearchRequest,\n topology: &Topology,\n policy: UnavailableShardPolicy,\n strategy: &dyn MergeStrategy,\n) -> Result {\n let preflight_req = PreflightRequest {\n index_uid: req.index_uid.clone(),\n terms: extract_query_terms(&req.query),\n filter: req.filter.clone(),\n };\n let global_idf = execute_preflight(&plan, client, &preflight_req, topology).await?;\n let mut search_req = req;\n search_req.global_idf = Some(global_idf);\n scatter_gather_search(plan, client, search_req, topology, policy, strategy).await\n}\n\n// ---------------------------------------------------------------------------\n// Mock client\n// ---------------------------------------------------------------------------\n\n#[derive(Debug, Clone, Default)]\npub struct MockNodeClient {\n pub responses: HashMap,\n pub preflight_responses: HashMap,\n pub errors: HashMap,\n pub delay_ms: u64,\n}\n\nimpl NodeClient for MockNodeClient {\n async fn search_node(\n &self, node: &NodeId, _address: &str, _request: &SearchRequest,\n ) -> std::result::Result {\n let _ = self.delay_ms;\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.responses.get(node).cloned().unwrap_or_else(|| {\n serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})\n }))\n }\n\n async fn preflight_node(\n &self, node: &NodeId, _address: &str, _request: &PreflightRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(self.preflight_responses.get(node).cloned().unwrap_or_else(|| {\n PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }\n }))\n }\n\n async fn write_documents(\n &self, node: &NodeId, _address: &str, _request: &WriteRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(WriteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents(\n &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents_by_filter(\n &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(DeleteResponse {\n success: true,\n task_uid: Some(1),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn fetch_documents(\n &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,\n ) -> std::result::Result {\n if let Some(err) = self.errors.get(node) { return Err(err.clone()); }\n Ok(FetchDocumentsResponse {\n results: Vec::new(),\n limit: request.limit,\n offset: request.offset,\n total: 0,\n })\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n _address: &str,\n _request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let task_uid = _request.task_uid;\n let error = self.errors.get(&node).cloned();\n async move {\n if let Some(err) = error {\n return Err(err);\n }\n Ok(TaskStatusResponse {\n task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n use crate::topology::{Node, NodeId};\n\n fn make_test_topology() -> Topology {\n let mut topo = Topology::new(64, 2, 2);\n for i in 0u32..6 {\n let rg = if i < 3 { 0 } else { 1 };\n let mut node = Node::new(NodeId::new(format!(\"node-{i}\")), format!(\"http://node-{i}:7700\"), rg);\n node.status = crate::topology::NodeStatus::Active;\n topo.add_node(node);\n }\n topo\n }\n\n fn make_req() -> SearchRequest {\n SearchRequest {\n index_uid: \"test\".into(), query: Some(\"test\".into()),\n offset: 0, limit: 10, filter: None, facets: None,\n ranking_score: false, body: serde_json::json!({}), global_idf: None,\n }\n }\n\n #[test]\n fn test_plan_pure_function() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n assert_eq!(plan.chosen_group, 0);\n assert_eq!(plan.target_shards.len(), 64);\n assert!(plan.hedging_eligible);\n }\n\n #[test]\n fn test_plan_group_rotation() {\n let topo = make_test_topology();\n assert_eq!(plan_search_scatter(&topo, 0, 2, 64).chosen_group, 0);\n assert_eq!(plan_search_scatter(&topo, 1, 2, 64).chosen_group, 1);\n }\n\n #[test]\n fn test_plan_shard_mapping() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n for s in 0..64 { assert!(plan.shard_to_node.contains_key(&s)); }\n let g0 = topo.group(0).unwrap();\n for (_, nid) in &plan.shard_to_node { assert!(g0.nodes().contains(nid)); }\n }\n\n #[test]\n fn test_plan_hedging() {\n let mut topo = Topology::new(64, 1, 1);\n topo.add_node(Node::new(NodeId::new(\"n0\".into()), \"http://n0:7700\".into(), 0));\n assert!(!plan_search_scatter(&topo, 0, 1, 64).hedging_eligible);\n assert!(plan_search_scatter(&make_test_topology(), 0, 2, 64).hedging_eligible);\n }\n\n #[tokio::test]\n async fn test_scatter_mock() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"doc1\"}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n let r = execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial).await.unwrap();\n assert!(!r.partial);\n assert_eq!(r.shard_pages.len(), 64);\n }\n\n #[tokio::test]\n async fn test_scatter_partial() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.errors.insert(NodeId::new(\"node-0\".into()), NodeError::Timeout);\n let r = execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial).await.unwrap();\n assert!(r.partial);\n }\n\n #[tokio::test]\n async fn test_scatter_error_policy() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.errors.insert(NodeId::new(\"node-0\".into()), NodeError::Timeout);\n assert!(execute_scatter(plan, &c, make_req(), &topo, UnavailableShardPolicy::Error).await.is_err());\n }\n\n #[test]\n fn test_plan_invalid_group() {\n assert!(plan_search_scatter(&Topology::new(64, 0, 1), 0, 1, 64).shard_to_node.is_empty());\n }\n\n #[tokio::test]\n async fn test_scatter_node_not_in_topo() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let r = execute_scatter(plan, &MockNodeClient::default(), make_req(), &Topology::new(64, 2, 2), UnavailableShardPolicy::Partial).await.unwrap();\n assert!(r.partial);\n }\n\n #[tokio::test]\n async fn test_sg_rrf() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\", \"_rankingScore\": 0.9}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n let s = crate::merger::RrfStrategy::default_strategy();\n let r = scatter_gather_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap();\n assert!(!r.degraded);\n }\n\n #[tokio::test]\n async fn test_sg_degraded() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\"}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n c.errors.insert(NodeId::new(\"node-2\".into()), NodeError::Timeout);\n let s = crate::merger::RrfStrategy::default_strategy();\n assert!(scatter_gather_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap().degraded);\n }\n\n #[test]\n fn test_extract_query_terms() {\n assert_eq!(extract_query_terms(&Some(\"hello world hello\".into())), vec![\"hello\", \"world\"]);\n assert!(extract_query_terms(&None).is_empty());\n }\n\n #[test]\n fn test_global_idf_aggregation() {\n let resp = vec![\n PreflightResponse { total_docs: 50000, avg_doc_length: 50.0, term_stats: HashMap::from([(\"a\".into(), TermStats { df: 5000 })]) },\n PreflightResponse { total_docs: 50000, avg_doc_length: 60.0, term_stats: HashMap::from([(\"a\".into(), TermStats { df: 4500 })]) },\n ];\n let g = GlobalIdf::from_preflight_responses(&resp);\n assert_eq!(g.total_docs, 100000);\n assert!((g.avg_doc_length - 55.0).abs() < 0.001);\n assert_eq!(g.terms.get(\"a\").unwrap().df, 9500);\n }\n\n #[test]\n fn test_global_idf_empty() {\n let g = GlobalIdf::from_preflight_responses(&[]);\n assert_eq!(g.total_docs, 0);\n assert!(g.terms.is_empty());\n }\n\n #[tokio::test]\n async fn test_execute_preflight() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 30000, avg_doc_length: 50.0,\n term_stats: HashMap::from([(\"search\".into(), TermStats { df: 3000 })]),\n });\n c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n total_docs: 30000, avg_doc_length: 55.0,\n term_stats: HashMap::from([(\"search\".into(), TermStats { df: 2500 })]),\n });\n c.preflight_responses.insert(NodeId::new(\"node-2\".into()), PreflightResponse {\n total_docs: 40000, avg_doc_length: 52.0,\n term_stats: HashMap::from([(\"search\".into(), TermStats { df: 4000 })]),\n });\n let req = PreflightRequest { index_uid: \"test\".into(), terms: vec![\"search\".into()], filter: None };\n let g = execute_preflight(&plan, &c, &req, &topo).await.unwrap();\n assert_eq!(g.total_docs, 100000);\n assert_eq!(g.terms.get(\"search\").unwrap().df, 9500);\n }\n\n #[tokio::test]\n async fn test_dfs_query_then_fetch() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let mut c = MockNodeClient::default();\n c.responses.insert(NodeId::new(\"node-0\".into()), serde_json::json!({\"hits\": [{\"id\": \"a\", \"_rankingScore\": 0.9}], \"estimatedTotalHits\": 1, \"processingTimeMs\": 5}));\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 50000, avg_doc_length: 50.0,\n term_stats: HashMap::from([(\"test\".into(), TermStats { df: 500 })]),\n });\n let s = crate::merger::RrfStrategy::default_strategy();\n let r = dfs_query_then_fetch_search(plan, &c, make_req(), &topo, UnavailableShardPolicy::Partial, &s).await.unwrap();\n assert!(!r.degraded);\n assert!(!r.hits.is_empty());\n }\n\n /// Integration test for dfs_query_then_fetch with severely skewed shard distribution.\n ///\n /// This test simulates the scenario described in miroir-yio:\n /// - Shard 0: Normal (1,000 docs, term df = 100)\n /// - Shard 1: 100x normal (100,000 docs, term df = 10,000)\n /// - Shard 2: Near-empty (10 docs, term df = 1)\n ///\n /// Without global IDF preflight, each shard would compute different local IDF values:\n /// - Shard 0: IDF ≈ log((1000 - 100 + 0.5) / (100 + 0.5)) + 1 ≈ 2.3\n /// - Shard 1: IDF ≈ log((100000 - 10000 + 0.5) / (10000 + 0.5)) + 1 ≈ 2.3\n /// - Shard 2: IDF ≈ log((10 - 1 + 0.5) / (1 + 0.5)) + 1 ≈ 2.8\n ///\n /// With global IDF preflight, all shards use the same IDF:\n /// - Global: N = 101,010, df = 10,101\n /// - IDF ≈ log((101010 - 10101 + 0.5) / (10101 + 0.5)) + 1 ≈ 2.3\n ///\n /// This ensures scores are comparable across shards, enabling correct score-based merge.\n #[tokio::test]\n async fn test_dfs_skewed_shards_global_idf_aggregation() {\n let mut topo = Topology::new(3, 1, 1);\n topo.add_node(Node::new(NodeId::new(\"node-0\".into()), \"http://node-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-1\".into()), \"http://node-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-2\".into()), \"http://node-2:7700\".into(), 0));\n\n let plan = plan_search_scatter(&topo, 0, 1, 3);\n\n // Simulate severely skewed shard distribution\n let mut c = MockNodeClient::default();\n\n // Shard 0: Normal distribution\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 1000,\n avg_doc_length: 50.0,\n term_stats: HashMap::from([\n (\"machine\".into(), TermStats { df: 100 }),\n (\"learning\".into(), TermStats { df: 80 }),\n ]),\n });\n\n // Shard 1: 100x normal (severely skewed)\n c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n total_docs: 100_000,\n avg_doc_length: 55.0,\n term_stats: HashMap::from([\n (\"machine\".into(), TermStats { df: 10_000 }),\n (\"learning\".into(), TermStats { df: 8_000 }),\n ]),\n });\n\n // Shard 2: Near-empty\n c.preflight_responses.insert(NodeId::new(\"node-2\".into()), PreflightResponse {\n total_docs: 10,\n avg_doc_length: 45.0,\n term_stats: HashMap::from([\n (\"machine\".into(), TermStats { df: 1 }),\n (\"learning\".into(), TermStats { df: 1 }),\n ]),\n });\n\n // Execute preflight to get global IDF\n let preflight_req = PreflightRequest {\n index_uid: \"test\".into(),\n terms: vec![\"machine\".into(), \"learning\".into()],\n filter: None,\n };\n\n let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n\n // Verify global aggregation\n assert_eq!(global_idf.total_docs, 101_010);\n assert_eq!(global_idf.terms.get(\"machine\").unwrap().df, 10_101);\n assert_eq!(global_idf.terms.get(\"learning\").unwrap().df, 8_081);\n\n // Verify global IDF is the same for all shards\n // Expected IDF for \"machine\": log((101010 - 10101 + 0.5) / (10101 + 0.5)) + 1\n let expected_idf_machine: f64 = ((101010.0_f64 - 10101.0 + 0.5) / (10101.0 + 0.5)).ln() + 1.0;\n let actual_idf_machine = global_idf.terms.get(\"machine\").unwrap().idf;\n assert!((actual_idf_machine - expected_idf_machine).abs() < 0.001);\n\n // Expected IDF for \"learning\": log((101010 - 8081 + 0.5) / (8081 + 0.5)) + 1\n let expected_idf_learning: f64 = ((101010.0_f64 - 8081.0 + 0.5) / (8081.0 + 0.5)).ln() + 1.0;\n let actual_idf_learning = global_idf.terms.get(\"learning\").unwrap().idf;\n assert!((actual_idf_learning - expected_idf_learning).abs() < 0.001);\n\n // Verify that without global IDF, local IDF values would differ significantly\n // Shard 0 local IDF for \"machine\": log((1000 - 100 + 0.5) / (100 + 0.5)) + 1 ≈ 3.19\n // Shard 1 local IDF for \"machine\": log((100000 - 10000 + 0.5) / (10000 + 0.5)) + 1 ≈ 3.20\n // Shard 2 local IDF for \"machine\": log((10 - 1 + 0.5) / (1 + 0.5)) + 1 ≈ 2.85\n let local_idf_shard_0: f64 = ((1000.0_f64 - 100.0 + 0.5) / (100.0 + 0.5)).ln() + 1.0;\n let local_idf_shard_2: f64 = ((10.0_f64 - 1.0 + 0.5) / (1.0 + 0.5)).ln() + 1.0;\n assert!((local_idf_shard_2 - local_idf_shard_0).abs() > 0.2, \"Local IDF values should differ significantly\");\n assert!((local_idf_shard_2 - actual_idf_machine).abs() > 0.3, \"Global IDF should be closer to large-shard local IDF\");\n }\n\n /// Test that DFS preflight handles empty query terms gracefully.\n #[tokio::test]\n async fn test_dfs_empty_query_terms() {\n let topo = make_test_topology();\n let plan = plan_search_scatter(&topo, 0, 2, 64);\n let c = MockNodeClient::default();\n\n let preflight_req = PreflightRequest {\n index_uid: \"test\".into(),\n terms: vec![],\n filter: None,\n };\n\n let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n assert_eq!(global_idf.total_docs, 0);\n assert!(global_idf.terms.is_empty());\n }\n\n /// Test that DFS preflight handles partial failures gracefully.\n #[tokio::test]\n async fn test_dfs_partial_failure() {\n let mut topo = Topology::new(3, 1, 1);\n topo.add_node(Node::new(NodeId::new(\"node-0\".into()), \"http://node-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-1\".into()), \"http://node-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-2\".into()), \"http://node-2:7700\".into(), 0));\n\n let plan = plan_search_scatter(&topo, 0, 1, 3);\n let mut c = MockNodeClient::default();\n\n // Node 0 returns valid data\n c.preflight_responses.insert(NodeId::new(\"node-0\".into()), PreflightResponse {\n total_docs: 50000,\n avg_doc_length: 50.0,\n term_stats: HashMap::from([(\"test\".into(), TermStats { df: 5000 })]),\n });\n\n // Node 1 returns valid data\n c.preflight_responses.insert(NodeId::new(\"node-1\".into()), PreflightResponse {\n total_docs: 30000,\n avg_doc_length: 55.0,\n term_stats: HashMap::from([(\"test\".into(), TermStats { df: 3000 })]),\n });\n\n // Node 2 fails\n c.errors.insert(NodeId::new(\"node-2\".into()), NodeError::Timeout);\n\n let preflight_req = PreflightRequest {\n index_uid: \"test\".into(),\n terms: vec![\"test\".into()],\n filter: None,\n };\n\n // Should aggregate from successful nodes only\n let global_idf = execute_preflight(&plan, &c, &preflight_req, &topo).await.unwrap();\n assert_eq!(global_idf.total_docs, 80000);\n assert_eq!(global_idf.terms.get(\"test\").unwrap().df, 8000);\n }\n\n /// Test that to_node_body correctly injects showRankingScore: true and sets limit to offset + limit.\n #[test]\n fn test_to_node_body_injects_show_ranking_score() {\n let req = SearchRequest {\n index_uid: \"test\".into(),\n query: Some(\"rust programming\".into()),\n offset: 10,\n limit: 20,\n filter: Some(serde_json::json!(\"status = published\")),\n facets: Some(vec![\"category\".into(), \"tags\".into()]),\n ranking_score: false, // Client didn't request scores\n body: serde_json::json!({\"custom\": \"field\"}),\n global_idf: None,\n };\n\n let body = req.to_node_body();\n\n // showRankingScore must be true unconditionally\n assert_eq!(body.get(\"showRankingScore\"), Some(&serde_json::json!(true)));\n\n // limit must be offset + limit (coordinator pagination)\n assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(30)));\n\n // offset must be 0 (coordinator handles offset)\n assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n\n // query must be set\n assert_eq!(body.get(\"q\"), Some(&serde_json::json!(\"rust programming\")));\n\n // filter must be set\n assert_eq!(body.get(\"filter\"), Some(&serde_json::json!(\"status = published\")));\n\n // facets must be set\n assert_eq!(body.get(\"facets\"), Some(&serde_json::json!([\"category\", \"tags\"])));\n\n // custom body field must be preserved\n assert_eq!(body.get(\"custom\"), Some(&serde_json::json!(\"field\")));\n }\n\n /// Test that to_node_body works with minimal request.\n #[test]\n fn test_to_node_body_minimal_request() {\n let req = SearchRequest {\n index_uid: \"test\".into(),\n query: None,\n offset: 0,\n limit: 10,\n filter: None,\n facets: None,\n ranking_score: true, // Client requested scores\n body: serde_json::json!({}),\n global_idf: None,\n };\n\n let body = req.to_node_body();\n\n // showRankingScore must be true unconditionally\n assert_eq!(body.get(\"showRankingScore\"), Some(&serde_json::json!(true)));\n\n // limit must be offset + limit = 10\n assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(10)));\n\n // offset must be 0\n assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n }\n\n /// Test that to_node_body handles large offset/limit correctly.\n #[test]\n fn test_to_node_body_pagination() {\n let req = SearchRequest {\n index_uid: \"test\".into(),\n query: Some(\"test\".into()),\n offset: 100,\n limit: 50,\n filter: None,\n facets: None,\n ranking_score: false,\n body: serde_json::json!({}),\n global_idf: None,\n };\n\n let body = req.to_node_body();\n\n // limit must be offset + limit = 150 (fetch enough for coordinator pagination)\n assert_eq!(body.get(\"limit\"), Some(&serde_json::json!(150)));\n\n // offset must be 0 (coordinator handles offset)\n assert_eq!(body.get(\"offset\"), Some(&serde_json::json!(0)));\n }\n\n /// Test group fallback when primary group has failed nodes.\n #[tokio::test]\n async fn test_group_fallback_on_partial_failure() {\n let mut topo = Topology::new(16, 2, 2);\n // Group 0: 2 nodes\n topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n // Group 1: 2 nodes (healthy fallback targets)\n topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n\n let plan = plan_search_scatter(&topo, 0, 2, 16); // query_seq=0 → group 0\n assert_eq!(plan.chosen_group, 0);\n\n let mut c = MockNodeClient::default();\n\n // Set up responses: all shards on group 1 nodes return valid data\n let response_1 = serde_json::json!({\n \"hits\": [{\"id\": \"doc1\", \"_rankingScore\": 0.9}],\n \"estimatedTotalHits\": 1,\n \"processingTimeMs\": 5,\n });\n c.responses.insert(NodeId::new(\"node-g1-0\".into()), response_1.clone());\n c.responses.insert(NodeId::new(\"node-g1-1\".into()), response_1);\n\n // All nodes in group 0 fail\n c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g1-0\".into()), NodeError::Timeout);\n\n let req = make_req();\n\n // With fallback policy, shards should succeed via group 1\n let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Fallback).await.unwrap();\n\n // Should have succeeded via fallback (group 1)\n assert!(!result.partial, \"Fallback should have succeeded\");\n assert!(result.failed_shards.is_empty(), \"No shards should have failed after fallback\");\n assert!(!result.shard_pages.is_empty(), \"Should have shard pages from fallback\");\n }\n\n /// Test group fallback when both groups are down.\n #[tokio::test]\n async fn test_group_fallback_all_groups_down() {\n let mut topo = Topology::new(16, 2, 2);\n topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n\n let plan = plan_search_scatter(&topo, 0, 2, 16);\n let mut c = MockNodeClient::default();\n\n // All nodes fail\n c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g0-1\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g1-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g1-1\".into()), NodeError::Timeout);\n\n let req = make_req();\n\n // With fallback policy, should still fail when all groups are down\n let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Fallback).await.unwrap();\n\n assert!(result.partial, \"Should be partial when all groups fail\");\n assert!(!result.failed_shards.is_empty(), \"Should have failed shards\");\n }\n\n /// Test that partial policy does NOT use fallback.\n #[tokio::test]\n async fn test_partial_policy_no_fallback() {\n let mut topo = Topology::new(16, 2, 2);\n topo.add_node(Node::new(NodeId::new(\"node-g0-0\".into()), \"http://g0-0:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g0-1\".into()), \"http://g0-1:7700\".into(), 0));\n topo.add_node(Node::new(NodeId::new(\"node-g1-0\".into()), \"http://g1-0:7700\".into(), 1));\n topo.add_node(Node::new(NodeId::new(\"node-g1-1\".into()), \"http://g1-1:7700\".into(), 1));\n\n let plan = plan_search_scatter(&topo, 0, 2, 16);\n let mut c = MockNodeClient::default();\n\n // Group 1 nodes are healthy but partial policy shouldn't use them\n c.responses.insert(NodeId::new(\"node-g1-0\".into()), serde_json::json!({\n \"hits\": [{\"id\": \"fallback-doc\"}],\n \"estimatedTotalHits\": 1,\n }));\n\n // Group 0 nodes fail\n c.errors.insert(NodeId::new(\"node-g0-0\".into()), NodeError::Timeout);\n c.errors.insert(NodeId::new(\"node-g0-1\".into()), NodeError::Timeout);\n\n let req = make_req();\n\n // With partial policy, should NOT use fallback\n let result = execute_scatter(plan, &c, req, &topo, UnavailableShardPolicy::Partial).await.unwrap();\n\n assert!(result.partial, \"Should be partial\");\n assert!(!result.failed_shards.is_empty(), \"Should have failed shards\");\n // Should NOT have any successful pages (fallback not used)\n assert!(result.shard_pages.is_empty(), \"Partial policy should not use fallback\");\n }\n}\n","structuredPatch":[{"oldStart":796,"oldLines":74,"newStart":796,"newLines":113,"lines":[" }"," "," impl NodeClient for MockNodeClient {","- async fn search_node(","+ fn search_node("," &self, node: &NodeId, _address: &str, _request: &SearchRequest,","- ) -> std::result::Result {","- let _ = self.delay_ms;","- if let Some(err) = self.errors.get(node) { return Err(err.clone()); }","- Ok(self.responses.get(node).cloned().unwrap_or_else(|| {","- serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})","- }))","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let err = self.errors.get(&node).cloned();","+ let response = self.responses.get(&node).cloned();","+ async move {","+ if let Some(e) = err {","+ return Err(e);","+ }","+ Ok(response.unwrap_or_else(|| {","+ serde_json::json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0, \"facetDistribution\": {}})","+ }))","+ }"," }"," ","- async fn preflight_node(","+ fn preflight_node("," &self, node: &NodeId, _address: &str, _request: &PreflightRequest,","- ) -> std::result::Result {","- if let Some(err) = self.errors.get(node) { return Err(err.clone()); }","- Ok(self.preflight_responses.get(node).cloned().unwrap_or_else(|| {","- PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }","- }))","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let err = self.errors.get(&node).cloned();","+ let response = self.preflight_responses.get(&node).cloned();","+ async move {","+ if let Some(e) = err {","+ return Err(e);","+ }","+ Ok(response.unwrap_or_else(|| {","+ PreflightResponse { total_docs: 1000, avg_doc_length: 50.0, term_stats: HashMap::new() }","+ }))","+ }"," }"," ","- async fn write_documents(","+ fn write_documents("," &self, node: &NodeId, _address: &str, _request: &WriteRequest,","- ) -> std::result::Result {","- if let Some(err) = self.errors.get(node) { return Err(err.clone()); }","- Ok(WriteResponse {","- success: true,","- task_uid: Some(1),","- message: None,","- code: None,","- error_type: None,","- })","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let err = self.errors.get(&node).cloned();","+ async move {","+ if let Some(e) = err {","+ return Err(e);","+ }","+ Ok(WriteResponse {","+ success: true,","+ task_uid: Some(1),","+ message: None,","+ code: None,","+ error_type: None,","+ })","+ }"," }"," ","- async fn delete_documents(","+ fn delete_documents("," &self, node: &NodeId, _address: &str, _request: &DeleteByIdsRequest,","- ) -> std::result::Result {","- if let Some(err) = self.errors.get(node) { return Err(err.clone()); }","- Ok(DeleteResponse {","- success: true,","- task_uid: Some(1),","- message: None,","- code: None,","- error_type: None,","- })","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let err = self.errors.get(&node).cloned();","+ async move {","+ if let Some(e) = err {","+ return Err(e);","+ }","+ Ok(DeleteResponse {","+ success: true,","+ task_uid: Some(1),","+ message: None,","+ code: None,","+ error_type: None,","+ })","+ }"," }"," ","- async fn delete_documents_by_filter(","+ fn delete_documents_by_filter("," &self, node: &NodeId, _address: &str, _request: &DeleteByFilterRequest,","- ) -> std::result::Result {","- if let Some(err) = self.errors.get(node) { return Err(err.clone()); }","- Ok(DeleteResponse {","- success: true,","- task_uid: Some(1),","- message: None,","- code: None,","- error_type: None,","- })","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let err = self.errors.get(&node).cloned();","+ async move {","+ if let Some(e) = err {","+ return Err(e);","+ }","+ Ok(DeleteResponse {","+ success: true,","+ task_uid: Some(1),","+ message: None,","+ code: None,","+ error_type: None,","+ })","+ }"," }"," ","- async fn fetch_documents(","+ fn fetch_documents("," &self, node: &NodeId, _address: &str, request: &FetchDocumentsRequest,","- ) -> std::result::Result {","- if let Some(err) = self.errors.get(node) { return Err(err.clone()); }","- Ok(FetchDocumentsResponse {","- results: Vec::new(),","- limit: request.limit,","- offset: request.offset,","- total: 0,","- })","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let err = self.errors.get(&node).cloned();","+ let limit = request.limit;","+ let offset = request.offset;","+ async move {","+ if let Some(e) = err {","+ return Err(e);","+ }","+ Ok(FetchDocumentsResponse {","+ results: Vec::new(),","+ limit,","+ offset,","+ total: 0,","+ })","+ }"," }"," "," fn 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address: &str,\n68- request: &SearchRequest,\n69- ) -> std::result::Result {\n70- let span = tracing::info_span!(\n71- \"node_call\",\n72- node_id = %node,\n73- address = %address,\n74- operation = \"search\",\n75- index = %request.index_uid,\n76- );\n77- let _guard = span.enter();\n78-\n79- let start = Instant::now();\n80- let url = self.search_url(address, &request.index_uid);\n81-\n82- let mut body = request.to_node_body();\n83-\n84- if let Some(global_idf) = &request.global_idf {\n85- body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)\n86- .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;\n87- }\n88-\n89- let response = self\n90- .client\n91- .post(&url)\n92- .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n93- .json(&body)\n94- .send()\n95- .await\n96- .map_err(|e| {\n97- tracing::warn!(\n98- target: \"miroir.node\",\n99- duration_ms = start.elapsed().as_millis() as u64,\n100- error = %e,\n101- \"node call 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HTTP client for communicating with Meilisearch nodes.\n2\t\n3\tuse miroir_core::scatter::{\n4\t DeleteByIdsRequest, DeleteByFilterRequest, DeleteResponse, NodeClient, NodeError,\n5\t PreflightRequest, PreflightResponse, SearchRequest, TaskStatusRequest, TaskStatusResponse,\n6\t TermStats, WriteRequest, WriteResponse,\n7\t};\n8\tuse miroir_core::topology::NodeId;\n9\tuse reqwest::Client;\n10\tuse serde_json::Value;\n11\tuse std::collections::HashMap;\n12\tuse std::time::{Duration, Instant};\n13\t\n14\t/// HTTP client implementation for node communication.\n15\tpub struct HttpClient {\n16\t client: Client,\n17\t master_key: String,\n18\t}\n19\t\n20\timpl HttpClient {\n21\t /// Create a new HTTP client.\n22\t pub fn new(master_key: String, timeout_ms: u64) -> Self {\n23\t let client = Client::builder()\n24\t .timeout(Duration::from_millis(timeout_ms))\n25\t .build()\n26\t .expect(\"Failed to create HTTP client\");\n27\t\n28\t Self { client, master_key }\n29\t }\n30\t\n31\t /// Build the search URL for a node and index.\n32\t fn search_url(&self, address: &str, index_uid: &str) -> String {\n33\t format!(\"{}/indexes/{}/search\", address.trim_end_matches('/'), index_uid)\n34\t }\n35\t\n36\t /// Build the preflight URL for a node and index.\n37\t #[allow(dead_code)]\n38\t fn preflight_url(&self, address: &str, index_uid: &str) -> String {\n39\t format!(\"{}/indexes/{}/_preflight\", address.trim_end_matches('/'), index_uid)\n40\t }\n41\t\n42\t /// Build the documents URL for a node and index.\n43\t fn documents_url(&self, address: &str, index_uid: &str) -> String {\n44\t format!(\n45\t \"{}/indexes/{}/documents\",\n46\t address.trim_end_matches('/'),\n47\t index_uid\n48\t )\n49\t }\n50\t\n51\t /// Build the task URL for a node.\n52\t fn task_url(&self, address: &str, task_uid: u64) -> String {\n53\t format!(\"{}/tasks/{}\", address.trim_end_matches('/'), task_uid)\n54\t }\n55\t\n56\t /// Static version of task_url for use in async blocks.\n57\t fn task_url_static(address: &str, task_uid: u64) -> String {\n58\t format!(\"{}/tasks/{}\", address.trim_end_matches('/'), task_uid)\n59\t }\n60\t}\n61\t\n62\t#[allow(async_fn_in_trait)]\n63\timpl NodeClient for HttpClient {\n64\t async fn search_node(\n65\t &self,\n66\t node: &NodeId,\n67\t address: &str,\n68\t request: &SearchRequest,\n69\t ) -> std::result::Result {\n70\t let span = tracing::info_span!(\n71\t \"node_call\",\n72\t node_id = %node,\n73\t address = %address,\n74\t operation = \"search\",\n75\t index = %request.index_uid,\n76\t );\n77\t let _guard = span.enter();\n78\t\n79\t let start = Instant::now();\n80\t let url = self.search_url(address, &request.index_uid);\n81\t\n82\t let mut body = request.to_node_body();\n83\t\n84\t if let Some(global_idf) = &request.global_idf {\n85\t body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)\n86\t .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;\n87\t }\n88\t\n89\t let response = self\n90\t .client\n91\t .post(&url)\n92\t .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n93\t .json(&body)\n94\t .send()\n95\t .await\n96\t .map_err(|e| {\n97\t tracing::warn!(\n98\t target: \"miroir.node\",\n99\t duration_ms = start.elapsed().as_millis() as u64,\n100\t error = %e,\n101\t \"node call failed\"\n102\t );\n103\t NodeError::NetworkError(format!(\"Request failed: {}\", e))\n104\t })?;\n105\t\n106\t let status = response.status();\n107\t let body_text = response\n108\t .text()\n109\t .await\n110\t .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n111\t\n112\t let duration_ms = start.elapsed().as_millis() as u64;\n113\t\n114\t if !status.is_success() {\n115\t tracing::debug!(\n116\t target: \"miroir.node\",\n117\t duration_ms,\n118\t status = status.as_u16(),\n119\t \"node call error response\"\n120\t );\n121\t return Err(NodeError::HttpError {\n122\t status: status.as_u16(),\n123\t body: body_text,\n124\t });\n125\t }\n126\t\n127\t tracing::debug!(\n128\t target: \"miroir.node\",\n129\t duration_ms,\n130\t \"node call completed\"\n131\t );\n132\t\n133\t serde_json::from_str(&body_text).map_err(|e| {\n134\t NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n135\t })\n136\t }\n137\t\n138\t async fn write_documents(\n139\t &self,\n140\t node: &NodeId,\n141\t address: &str,\n142\t request: &WriteRequest,\n143\t ) -> std::result::Result {\n144\t let start = Instant::now();\n145\t let url = self.documents_url(address, &request.index_uid);\n146\t\n147\t tracing::debug!(\n148\t target: \"miroir.node\",\n149\t node_id = %node,\n150\t address = %address,\n151\t index = %request.index_uid,\n152\t operation = \"write_documents\",\n153\t \"node call started\"\n154\t );\n155\t\n156\t let mut query_params = Vec::new();\n157\t if let Some(pk) = &request.primary_key {\n158\t query_params.push((\"primaryKey\", pk.as_str()));\n159\t }\n160\t\n161\t let mut req_builder = self\n162\t .client\n163\t .post(&url)\n164\t .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n165\t .json(&request.documents);\n166\t\n167\t if !query_params.is_empty() {\n168\t req_builder = req_builder.query(&query_params);\n169\t }\n170\t\n171\t let response = req_builder\n172\t .send()\n173\t .await\n174\t .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n175\t\n176\t let status = response.status();\n177\t let body_text = response\n178\t .text()\n179\t .await\n180\t .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n181\t\n182\t if !status.is_success() {\n183\t // Try to parse as Meilisearch error\n184\t if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n185\t return Ok(WriteResponse {\n186\t success: false,\n187\t task_uid: None,\n188\t message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n189\t code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n190\t error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n191\t });\n192\t }\n193\t return Err(NodeError::HttpError {\n194\t status: status.as_u16(),\n195\t body: body_text,\n196\t });\n197\t }\n198\t\n199\t // Parse successful response\n200\t let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n201\t NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n202\t })?;\n203\t\n204\t let duration_ms = start.elapsed().as_millis() as u64;\n205\t tracing::debug!(\n206\t target: \"miroir.node\",\n207\t node_id = %node,\n208\t address = %address,\n209\t operation = \"write_documents\",\n210\t duration_ms,\n211\t status = status.as_u16(),\n212\t \"node call completed\"\n213\t );\n214\t\n215\t Ok(WriteResponse {\n216\t success: true,\n217\t task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n218\t message: None,\n219\t code: None,\n220\t error_type: None,\n221\t })\n222\t }\n223\t\n224\t async fn delete_documents(\n225\t &self,\n226\t node: &NodeId,\n227\t address: &str,\n228\t request: &DeleteByIdsRequest,\n229\t ) -> std::result::Result {\n230\t let start = Instant::now();\n231\t let url = self.documents_url(address, &request.index_uid);\n232\t\n233\t tracing::debug!(\n234\t target: \"miroir.node\",\n235\t node_id = %node,\n236\t address = %address,\n237\t index = %request.index_uid,\n238\t operation = \"delete_documents\",\n239\t \"node call started\"\n240\t );\n241\t\n242\t let response = self\n243\t .client\n244\t .post(&url)\n245\t .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n246\t .json(&request.ids)\n247\t .send()\n248\t .await\n249\t .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n250\t\n251\t let status = response.status();\n252\t let body_text = response\n253\t .text()\n254\t .await\n255\t .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n256\t\n257\t let duration_ms = start.elapsed().as_millis() as u64;\n258\t tracing::debug!(\n259\t target: \"miroir.node\",\n260\t node_id = %node,\n261\t address = %address,\n262\t operation = \"delete_documents\",\n263\t duration_ms,\n264\t status = status.as_u16(),\n265\t \"node call completed\"\n266\t );\n267\t\n268\t if !status.is_success() {\n269\t // Try to parse as Meilisearch error\n270\t if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n271\t return Ok(DeleteResponse {\n272\t success: false,\n273\t task_uid: None,\n274\t message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n275\t code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n276\t error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n277\t });\n278\t }\n279\t return Err(NodeError::HttpError {\n280\t status: status.as_u16(),\n281\t body: body_text,\n282\t });\n283\t }\n284\t\n285\t // Parse successful response\n286\t let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n287\t NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n288\t })?;\n289\t\n290\t Ok(DeleteResponse {\n291\t success: true,\n292\t task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n293\t message: None,\n294\t code: None,\n295\t error_type: None,\n296\t })\n297\t }\n298\t\n299\t async fn delete_documents_by_filter(\n300\t &self,\n301\t node: &NodeId,\n302\t address: &str,\n303\t request: &DeleteByFilterRequest,\n304\t ) -> std::result::Result {\n305\t let start = Instant::now();\n306\t let url = format!(\n307\t \"{}/indexes/{}/documents/delete\",\n308\t address.trim_end_matches('/'),\n309\t request.index_uid\n310\t );\n311\t\n312\t tracing::debug!(\n313\t target: \"miroir.node\",\n314\t node_id = %node,\n315\t address = %address,\n316\t index = %request.index_uid,\n317\t operation = \"delete_by_filter\",\n318\t \"node call started\"\n319\t );\n320\t\n321\t let response = self\n322\t .client\n323\t .post(&url)\n324\t .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n325\t .json(&request.filter)\n326\t .send()\n327\t .await\n328\t .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n329\t\n330\t let status = response.status();\n331\t let body_text = response\n332\t .text()\n333\t .await\n334\t .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n335\t\n336\t let duration_ms = start.elapsed().as_millis() as u64;\n337\t tracing::debug!(\n338\t target: \"miroir.node\",\n339\t node_id = %node,\n340\t address = %address,\n341\t operation = \"delete_by_filter\",\n342\t duration_ms,\n343\t status = status.as_u16(),\n344\t \"node call completed\"\n345\t );\n346\t\n347\t if !status.is_success() {\n348\t // Try to parse as Meilisearch error\n349\t if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n350\t return Ok(DeleteResponse {\n351\t success: false,\n352\t task_uid: None,\n353\t message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n354\t code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n355\t error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n356\t });\n357\t }\n358\t return Err(NodeError::HttpError {\n359\t status: status.as_u16(),\n360\t body: body_text,\n361\t });\n362\t }\n363\t\n364\t // Parse successful response\n365\t let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n366\t NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n367\t })?;\n368\t\n369\t Ok(DeleteResponse {\n370\t success: true,\n371\t task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n372\t message: None,\n373\t code: None,\n374\t error_type: None,\n375\t })\n376\t }\n377\t\n378\t async fn preflight_node(\n379\t &self,\n380\t node: &NodeId,\n381\t address: &str,\n382\t request: &PreflightRequest,\n383\t ) -> std::result::Result {\n384\t let start = Instant::now();\n385\t let base = address.trim_end_matches('/');\n386\t\n387\t tracing::debug!(\n388\t target: \"miroir.node\",\n389\t node_id = %node,\n390\t address = %address,\n391\t index = %request.index_uid,\n392\t operation = \"preflight\",\n393\t term_count = request.terms.len(),\n394\t \"node call started\"\n395\t );\n396\t\n397\t // 1. Get total docs from Meilisearch stats endpoint\n398\t let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);\n399\t let stats_resp = self\n400\t .client\n401\t .get(&stats_url)\n402\t .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n403\t .send()\n404\t .await\n405\t .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;\n406\t\n407\t if !stats_resp.status().is_success() {\n408\t // Index not found or node unreachable — return empty stats\n409\t return Ok(PreflightResponse {\n410\t total_docs: 0,\n411\t avg_doc_length: 0.0,\n412\t term_stats: HashMap::new(),\n413\t });\n414\t }\n415\t\n416\t let stats_body: Value = stats_resp\n417\t .json()\n418\t .await\n419\t .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;\n420\t\n421\t let total_docs = stats_body\n422\t .get(\"numberOfDocuments\")\n423\t .and_then(|v| v.as_u64())\n424\t .unwrap_or(0);\n425\t\n426\t // 2. Get DF for each term via search with limit=0\n427\t let mut term_stats = HashMap::new();\n428\t let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);\n429\t for term in &request.terms {\n430\t let search_body = serde_json::json!({\"q\": term, \"limit\": 0});\n431\t\n432\t let search_resp = self\n433\t .client\n434\t .post(&search_url)\n435\t .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n436\t .json(&search_body)\n437\t .send()\n438\t .await\n439\t .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;\n440\t\n441\t if search_resp.status().is_success() {\n442\t let body: Value = search_resp\n443\t .json()\n444\t .await\n445\t .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;\n446\t let df = body\n447\t .get(\"estimatedTotalHits\")\n448\t .and_then(|v| v.as_u64())\n449\t .unwrap_or(0);\n450\t term_stats.insert(term.clone(), TermStats { df });\n451\t }\n452\t }\n453\t\n454\t // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\n455\t // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\n456\t let avg_doc_length = 500.0;\n457\t\n458\t let duration_ms = start.elapsed().as_millis() as u64;\n459\t tracing::debug!(\n460\t target: \"miroir.node\",\n461\t node_id = %node,\n462\t address = %address,\n463\t operation = \"preflight\",\n464\t duration_ms,\n465\t total_docs,\n466\t \"node call completed\"\n467\t );\n468\t\n469\t Ok(PreflightResponse {\n470\t total_docs,\n471\t avg_doc_length,\n472\t term_stats,\n473\t })\n474\t }\n475\t\n476\t fn get_task_status(\n477\t &self,\n478\t node: &NodeId,\n479\t address: &str,\n480\t request: &TaskStatusRequest,\n481\t ) -> impl std::future::Future> + Send {\n482\t let task_uid = request.task_uid;\n483\t let url = Self::task_url_static(address, task_uid);\n484\t let master_key = self.master_key.clone();\n485\t let client = self.client.clone();\n486\t\n487\t async move {\n488\t let response = client\n489\t .get(&url)\n490\t .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n491\t .send()\n492\t .await\n493\t .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n494\t\n495\t let status = response.status();\n496\t let body_text = response\n497\t .text()\n498\t .await\n499\t .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n500\t\n501\t if !status.is_success() {\n502\t return Err(NodeError::HttpError {\n503\t status: status.as_u16(),\n504\t body: body_text,\n505\t });\n506\t }\n507\t\n508\t // Parse successful response\n509\t let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n510\t NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n511\t })?;\n512\t\n513\t Ok(TaskStatusResponse {\n514\t task_uid,\n515\t status: json.get(\"status\")\n516\t .and_then(|v| v.as_str())\n517\t .unwrap_or(\"enqueued\")\n518\t .to_string(),\n519\t error: json.get(\"error\")\n520\t .and_then(|v| v.get(\"message\"))\n521\t .and_then(|v| v.as_str())\n522\t .map(|s| s.to_string()),\n523\t error_type: json.get(\"error\")\n524\t .and_then(|v| v.get(\"type\"))\n525\t .and_then(|v| v.as_str())\n526\t .map(|s| s.to_string()),\n527\t })\n528\t }\n529\t }\n530\t}\n531\t\n532\t#[cfg(test)]\n533\tmod tests {\n534\t use super::*;\n535\t\n536\t #[test]\n537\t fn test_search_url_construction() {\n538\t let client = HttpClient::new(\"test-key\".into(), 5000);\n539\t assert_eq!(\n540\t client.search_url(\"http://localhost:7700\", \"my_index\"),\n541\t \"http://localhost:7700/indexes/my_index/search\"\n542\t );\n543\t assert_eq!(\n544\t client.search_url(\"http://localhost:7700/\", \"my_index\"),\n545\t \"http://localhost:7700/indexes/my_index/search\"\n546\t );\n547\t }\n548\t\n549\t #[test]\n550\t fn test_preflight_url_construction() {\n551\t let client = HttpClient::new(\"test-key\".into(), 5000);\n552\t assert_eq!(\n553\t client.preflight_url(\"http://localhost:7700\", \"my_index\"),\n554\t \"http://localhost:7700/indexes/my_index/_preflight\"\n555\t );\n556\t }\n557\t}\n558\t"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"4ca4bef3-aaa0-4ddb-9c21-10c79dbc546b","timestamp":"2026-05-23T12:44:06.882Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/miroir/crates/miroir-proxy/src/client.rs","content":"//! HTTP client for communicating with Meilisearch nodes.\n\nuse miroir_core::scatter::{\n DeleteByIdsRequest, DeleteByFilterRequest, DeleteResponse, NodeClient, NodeError,\n PreflightRequest, PreflightResponse, SearchRequest, TaskStatusRequest, TaskStatusResponse,\n TermStats, WriteRequest, WriteResponse,\n};\nuse miroir_core::topology::NodeId;\nuse reqwest::Client;\nuse serde_json::Value;\nuse std::collections::HashMap;\nuse std::time::{Duration, Instant};\n\n/// HTTP client implementation for node communication.\npub struct HttpClient {\n client: Client,\n master_key: String,\n}\n\nimpl HttpClient {\n /// Create a new HTTP client.\n pub fn new(master_key: String, timeout_ms: u64) -> Self {\n let client = Client::builder()\n .timeout(Duration::from_millis(timeout_ms))\n .build()\n .expect(\"Failed to create HTTP client\");\n\n Self { client, master_key }\n }\n\n /// Build the search URL for a node and index.\n fn search_url(&self, address: &str, index_uid: &str) -> String {\n format!(\"{}/indexes/{}/search\", address.trim_end_matches('/'), index_uid)\n }\n\n /// Build the preflight URL for a node and index.\n #[allow(dead_code)]\n fn preflight_url(&self, address: &str, index_uid: &str) -> String {\n format!(\"{}/indexes/{}/_preflight\", address.trim_end_matches('/'), index_uid)\n }\n\n /// Build the documents URL for a node and index.\n fn documents_url(&self, address: &str, index_uid: &str) -> String {\n format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n index_uid\n )\n }\n\n /// Build the task URL for a node.\n fn task_url(&self, address: &str, task_uid: u64) -> String {\n format!(\"{}/tasks/{}\", address.trim_end_matches('/'), task_uid)\n }\n\n /// Static version of task_url for use in async blocks.\n fn task_url_static(address: &str, task_uid: u64) -> String {\n format!(\"{}/tasks/{}\", address.trim_end_matches('/'), task_uid)\n }\n}\n\n#[allow(async_fn_in_trait)]\nimpl NodeClient for HttpClient {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let span = tracing::info_span!(\n \"node_call\",\n node_id = %node,\n address = %address,\n operation = \"search\",\n index = %request.index_uid,\n );\n let _guard = span.enter();\n\n let start = Instant::now();\n let url = self.search_url(address, &request.index_uid);\n\n let mut body = request.to_node_body();\n\n if let Some(global_idf) = &request.global_idf {\n body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;\n }\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&body)\n .send()\n .await\n .map_err(|e| {\n tracing::warn!(\n target: \"miroir.node\",\n duration_ms = start.elapsed().as_millis() as u64,\n error = %e,\n \"node call failed\"\n );\n NodeError::NetworkError(format!(\"Request failed: {}\", e))\n })?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n\n if !status.is_success() {\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n status = status.as_u16(),\n \"node call error response\"\n );\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n \"node call completed\"\n );\n\n serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })\n }\n\n async fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &WriteRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = self.documents_url(address, &request.index_uid);\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"write_documents\",\n \"node call started\"\n );\n\n let mut query_params = Vec::new();\n if let Some(pk) = &request.primary_key {\n query_params.push((\"primaryKey\", pk.as_str()));\n }\n\n let mut req_builder = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.documents);\n\n if !query_params.is_empty() {\n req_builder = req_builder.query(&query_params);\n }\n\n let response = req_builder\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"write_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n Ok(WriteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = self.documents_url(address, &request.index_uid);\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_documents\",\n \"node call started\"\n );\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.ids)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = format!(\n \"{}/indexes/{}/documents/delete\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_by_filter\",\n \"node call started\"\n );\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.filter)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_by_filter\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let base = address.trim_end_matches('/');\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"preflight\",\n term_count = request.terms.len(),\n \"node call started\"\n );\n\n // 1. Get total docs from Meilisearch stats endpoint\n let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);\n let stats_resp = self\n .client\n .get(&stats_url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;\n\n if !stats_resp.status().is_success() {\n // Index not found or node unreachable — return empty stats\n return Ok(PreflightResponse {\n total_docs: 0,\n avg_doc_length: 0.0,\n term_stats: HashMap::new(),\n });\n }\n\n let stats_body: Value = stats_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;\n\n let total_docs = stats_body\n .get(\"numberOfDocuments\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n // 2. Get DF for each term via search with limit=0\n let mut term_stats = HashMap::new();\n let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);\n for term in &request.terms {\n let search_body = serde_json::json!({\"q\": term, \"limit\": 0});\n\n let search_resp = self\n .client\n .post(&search_url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&search_body)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;\n\n if search_resp.status().is_success() {\n let body: Value = search_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;\n let df = body\n .get(\"estimatedTotalHits\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n term_stats.insert(term.clone(), TermStats { df });\n }\n }\n\n // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\n // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\n let avg_doc_length = 500.0;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"preflight\",\n duration_ms,\n total_docs,\n \"node call completed\"\n );\n\n Ok(PreflightResponse {\n total_docs,\n avg_doc_length,\n term_stats,\n })\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n address: &str,\n request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let task_uid = request.task_uid;\n let url = Self::task_url_static(address, task_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(TaskStatusResponse {\n task_uid,\n status: json.get(\"status\")\n .and_then(|v| v.as_str())\n .unwrap_or(\"enqueued\")\n .to_string(),\n error: json.get(\"error\")\n .and_then(|v| v.get(\"message\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n error_type: json.get(\"error\")\n .and_then(|v| v.get(\"type\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n })\n }\n }\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n\n #[test]\n fn test_search_url_construction() {\n let client = HttpClient::new(\"test-key\".into(), 5000);\n assert_eq!(\n client.search_url(\"http://localhost:7700\", \"my_index\"),\n \"http://localhost:7700/indexes/my_index/search\"\n );\n assert_eq!(\n client.search_url(\"http://localhost:7700/\", \"my_index\"),\n \"http://localhost:7700/indexes/my_index/search\"\n );\n }\n\n #[test]\n fn test_preflight_url_construction() {\n let client = HttpClient::new(\"test-key\".into(), 5000);\n assert_eq!(\n client.preflight_url(\"http://localhost:7700\", \"my_index\"),\n \"http://localhost:7700/indexes/my_index/_preflight\"\n );\n }\n}\n","numLines":558,"startLine":1,"totalLines":558}}} +{"type":"system","subtype":"status","status":"requesting","uuid":"f38b02a1-4470-434b-b973-2c0a4aae01cb","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} 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let response = self\\n .client\\n .post(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", self.master_key))\\n .json(&body)\\n .send()\\n .await\\n .map_err(|e| {\\n tracing::warn!(\\n target: \\\"miroir.node\\\",\\n duration_ms = start.elapsed().as_millis() as u64,\\n error = %e,\\n \\\"node call failed\\\"\\n );\\n NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e))\\n })?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n\\n if !status.is_success() {\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n duration_ms,\\n status = status.as_u16(),\\n \\\"node call error response\\\"\\n );\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n duration_ms,\\n \\\"node call completed\\\"\\n );\\n\\n serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })\\n }\\n\\n async fn write_documents(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &WriteRequest,\\n ) -> std::result::Result {\\n let start = Instant::now();\\n let url = self.documents_url(address, &request.index_uid);\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n index = %request.index_uid,\\n operation = \\\"write_documents\\\",\\n \\\"node call started\\\"\\n );\\n\\n let mut query_params = Vec::new();\\n if let Some(pk) = &request.primary_key {\\n query_params.push((\\\"primaryKey\\\", pk.as_str()));\\n }\\n\\n let mut req_builder = self\\n .client\\n .post(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", self.master_key))\\n .json(&request.documents);\\n\\n if !query_params.is_empty() {\\n req_builder = req_builder.query(&query_params);\\n }\\n\\n let response = req_builder\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e)))?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n if !status.is_success() {\\n // Try to parse as Meilisearch error\\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\\n return Ok(WriteResponse {\\n success: false,\\n task_uid: None,\\n message: meili_err.get(\\\"message\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n code: meili_err.get(\\\"code\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n error_type: meili_err.get(\\\"type\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n });\\n }\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n // Parse successful response\\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })?;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n operation = \\\"write_documents\\\",\\n duration_ms,\\n status = status.as_u16(),\\n \\\"node call completed\\\"\\n );\\n\\n Ok(WriteResponse {\\n success: true,\\n task_uid: json.get(\\\"taskUid\\\").and_then(|v| v.as_u64()),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n\\n async fn delete_documents(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &DeleteByIdsRequest,\\n ) -> std::result::Result {\\n let start = Instant::now();\\n let url = self.documents_url(address, &request.index_uid);\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n index = %request.index_uid,\\n operation = \\\"delete_documents\\\",\\n \\\"node call started\\\"\\n );\\n\\n let response = self\\n .client\\n .post(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", self.master_key))\\n .json(&request.ids)\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e)))?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n operation = \\\"delete_documents\\\",\\n duration_ms,\\n status = status.as_u16(),\\n \\\"node call completed\\\"\\n );\\n\\n if !status.is_success() {\\n // Try to parse as Meilisearch error\\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\\n return Ok(DeleteResponse {\\n success: false,\\n task_uid: None,\\n message: meili_err.get(\\\"message\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n code: meili_err.get(\\\"code\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n error_type: meili_err.get(\\\"type\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n });\\n }\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n // Parse successful response\\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })?;\\n\\n Ok(DeleteResponse {\\n success: true,\\n task_uid: json.get(\\\"taskUid\\\").and_then(|v| v.as_u64()),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n\\n async fn delete_documents_by_filter(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &DeleteByFilterRequest,\\n ) -> std::result::Result {\\n let start = Instant::now();\\n let url = format!(\\n \\\"{}/indexes/{}/documents/delete\\\",\\n address.trim_end_matches('/'),\\n request.index_uid\\n );\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n index = %request.index_uid,\\n operation = \\\"delete_by_filter\\\",\\n \\\"node call started\\\"\\n );\\n\\n let response = self\\n .client\\n .post(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", self.master_key))\\n .json(&request.filter)\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e)))?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n operation = \\\"delete_by_filter\\\",\\n duration_ms,\\n status = status.as_u16(),\\n \\\"node call completed\\\"\\n );\\n\\n if !status.is_success() {\\n // Try to parse as Meilisearch error\\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\\n return Ok(DeleteResponse {\\n success: false,\\n task_uid: None,\\n message: meili_err.get(\\\"message\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n code: meili_err.get(\\\"code\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n error_type: meili_err.get(\\\"type\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n });\\n }\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n // Parse successful response\\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })?;\\n\\n Ok(DeleteResponse {\\n success: true,\\n task_uid: json.get(\\\"taskUid\\\").and_then(|v| v.as_u64()),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n\\n async fn preflight_node(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &PreflightRequest,\\n ) -> std::result::Result {\\n let start = Instant::now();\\n let base = address.trim_end_matches('/');\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n index = %request.index_uid,\\n operation = \\\"preflight\\\",\\n term_count = request.terms.len(),\\n \\\"node call started\\\"\\n );\\n\\n // 1. Get total docs from Meilisearch stats endpoint\\n let stats_url = format!(\\\"{}/indexes/{}/stats\\\", base, request.index_uid);\\n let stats_resp = self\\n .client\\n .get(&stats_url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", self.master_key))\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Stats request failed: {}\\\", e)))?;\\n\\n if !stats_resp.status().is_success() {\\n // Index not found or node unreachable — return empty stats\\n return Ok(PreflightResponse {\\n total_docs: 0,\\n avg_doc_length: 0.0,\\n term_stats: HashMap::new(),\\n });\\n }\\n\\n let stats_body: Value = stats_resp\\n .json()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to parse stats: {}\\\", e)))?;\\n\\n let total_docs = stats_body\\n .get(\\\"numberOfDocuments\\\")\\n .and_then(|v| v.as_u64())\\n .unwrap_or(0);\\n\\n // 2. Get DF for each term via search with limit=0\\n let mut term_stats = HashMap::new();\\n let search_url = format!(\\\"{}/indexes/{}/search\\\", base, request.index_uid);\\n for term in &request.terms {\\n let search_body = serde_json::json!({\\\"q\\\": term, \\\"limit\\\": 0});\\n\\n let search_resp = self\\n .client\\n .post(&search_url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", self.master_key))\\n .json(&search_body)\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"DF search failed: {}\\\", e)))?;\\n\\n if search_resp.status().is_success() {\\n let body: Value = search_resp\\n .json()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to parse DF response: {}\\\", e)))?;\\n let df = body\\n .get(\\\"estimatedTotalHits\\\")\\n .and_then(|v| v.as_u64())\\n .unwrap_or(0);\\n term_stats.insert(term.clone(), TermStats { df });\\n }\\n }\\n\\n // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\\n // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\\n let avg_doc_length = 500.0;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n operation = \\\"preflight\\\",\\n duration_ms,\\n total_docs,\\n \\\"node call completed\\\"\\n );\\n\\n Ok(PreflightResponse {\\n total_docs,\\n avg_doc_length,\\n term_stats,\\n })\\n }\\n\\n fn get_task_status(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &TaskStatusRequest,\\n ) -> impl std::future::Future> + Send {\\n let task_uid = request.task_uid;\\n let url = Self::task_url_static(address, task_uid);\\n let master_key = self.master_key.clone();\\n let client = self.client.clone();\\n\\n async move {\\n let response = client\\n .get(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", master_key))\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e)))?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n if !status.is_success() {\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n // Parse successful response\\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })?;\\n\\n Ok(TaskStatusResponse {\\n task_uid,\\n status: json.get(\\\"status\\\")\\n .and_then(|v| v.as_str())\\n .unwrap_or(\\\"enqueued\\\")\\n .to_string(),\\n error: json.get(\\\"error\\\")\\n .and_then(|v| v.get(\\\"message\\\"))\\n .and_then(|v| v.as_str())\\n .map(|s| s.to_string()),\\n error_type: json.get(\\\"error\\\")\\n .and_then(|v| v.get(\\\"type\\\"))\\n .and_then(|v| v.as_str())\\n .map(|s| s.to_string()),\\n })\\n }\\n }\\n}\",\"new_string\":\"impl NodeClient for HttpClient {\\n fn search_node(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &SearchRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let address = address.to_string();\\n let request = request.clone();\\n let url = self.search_url(&address, &request.index_uid);\\n let master_key = self.master_key.clone();\\n let client = self.client.clone();\\n\\n async move {\\n let span = tracing::info_span!(\\n \\\"node_call\\\",\\n node_id = %node,\\n address = %address,\\n operation = \\\"search\\\",\\n index = %request.index_uid,\\n );\\n let _guard = span.enter();\\n\\n let start = Instant::now();\\n\\n let mut body = request.to_node_body();\\n\\n if let Some(global_idf) = &request.global_idf {\\n body[\\\"_miroir_global_idf\\\"] = serde_json::to_value(global_idf)\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to serialize global_idf: {}\\\", e)))?;\\n }\\n\\n let response = client\\n .post(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", master_key))\\n .json(&body)\\n .send()\\n .await\\n .map_err(|e| {\\n tracing::warn!(\\n target: \\\"miroir.node\\\",\\n duration_ms = start.elapsed().as_millis() as u64,\\n error = %e,\\n \\\"node call failed\\\"\\n );\\n NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e))\\n })?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n\\n if !status.is_success() {\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n duration_ms,\\n status = status.as_u16(),\\n \\\"node call error response\\\"\\n );\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n duration_ms,\\n \\\"node call completed\\\"\\n );\\n\\n serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })\\n }\\n }\\n\\n fn write_documents(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &WriteRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let address = address.to_string();\\n let request = request.clone();\\n let url = format!(\\n \\\"{}/indexes/{}/documents\\\",\\n address.trim_end_matches('/'),\\n request.index_uid\\n );\\n let master_key = self.master_key.clone();\\n let client = self.client.clone();\\n\\n async move {\\n let start = Instant::now();\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n index = %request.index_uid,\\n operation = \\\"write_documents\\\",\\n \\\"node call started\\\"\\n );\\n\\n let mut query_params = Vec::new();\\n if let Some(pk) = &request.primary_key {\\n query_params.push((\\\"primaryKey\\\", pk.as_str()));\\n }\\n\\n let mut req_builder = client\\n .post(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", master_key))\\n .json(&request.documents);\\n\\n if !query_params.is_empty() {\\n req_builder = req_builder.query(&query_params);\\n }\\n\\n let response = req_builder\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e)))?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n if !status.is_success() {\\n // Try to parse as Meilisearch error\\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\\n return Ok(WriteResponse {\\n success: false,\\n task_uid: None,\\n message: meili_err.get(\\\"message\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n code: meili_err.get(\\\"code\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n error_type: meili_err.get(\\\"type\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n });\\n }\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n // Parse successful response\\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })?;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n operation = \\\"write_documents\\\",\\n duration_ms,\\n status = status.as_u16(),\\n \\\"node call completed\\\"\\n );\\n\\n Ok(WriteResponse {\\n success: true,\\n task_uid: json.get(\\\"taskUid\\\").and_then(|v| v.as_u64()),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n fn delete_documents(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &DeleteByIdsRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let address = address.to_string();\\n let request = request.clone();\\n let url = format!(\\n \\\"{}/indexes/{}/documents\\\",\\n address.trim_end_matches('/'),\\n request.index_uid\\n );\\n let master_key = self.master_key.clone();\\n let client = self.client.clone();\\n\\n async move {\\n let start = Instant::now();\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n index = %request.index_uid,\\n operation = \\\"delete_documents\\\",\\n \\\"node call started\\\"\\n );\\n\\n let response = client\\n .post(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", master_key))\\n .json(&request.ids)\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e)))?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n operation = \\\"delete_documents\\\",\\n duration_ms,\\n status = status.as_u16(),\\n \\\"node call completed\\\"\\n );\\n\\n if !status.is_success() {\\n // Try to parse as Meilisearch error\\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\\n return Ok(DeleteResponse {\\n success: false,\\n task_uid: None,\\n message: meili_err.get(\\\"message\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n code: meili_err.get(\\\"code\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n error_type: meili_err.get(\\\"type\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n });\\n }\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n // Parse successful response\\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })?;\\n\\n Ok(DeleteResponse {\\n success: true,\\n task_uid: json.get(\\\"taskUid\\\").and_then(|v| v.as_u64()),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n fn delete_documents_by_filter(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &DeleteByFilterRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let address = address.to_string();\\n let request = request.clone();\\n let url = format!(\\n \\\"{}/indexes/{}/documents/delete\\\",\\n address.trim_end_matches('/'),\\n request.index_uid\\n );\\n let master_key = self.master_key.clone();\\n let client = self.client.clone();\\n\\n async move {\\n let start = Instant::now();\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n index = %request.index_uid,\\n operation = \\\"delete_by_filter\\\",\\n \\\"node call started\\\"\\n );\\n\\n let response = client\\n .post(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", master_key))\\n .json(&request.filter)\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e)))?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n operation = \\\"delete_by_filter\\\",\\n duration_ms,\\n status = status.as_u16(),\\n \\\"node call completed\\\"\\n );\\n\\n if !status.is_success() {\\n // Try to parse as Meilisearch error\\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\\n return Ok(DeleteResponse {\\n success: false,\\n task_uid: None,\\n message: meili_err.get(\\\"message\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n code: meili_err.get(\\\"code\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n error_type: meili_err.get(\\\"type\\\").and_then(|v| v.as_str()).map(|s| s.to_string()),\\n });\\n }\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n // Parse successful response\\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })?;\\n\\n Ok(DeleteResponse {\\n success: true,\\n task_uid: json.get(\\\"taskUid\\\").and_then(|v| v.as_u64()),\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n fn preflight_node(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &PreflightRequest,\\n ) -> impl std::future::Future> + Send {\\n let node = node.clone();\\n let address = address.to_string();\\n let request = request.clone();\\n let base = address.trim_end_matches('/').to_string();\\n let master_key = self.master_key.clone();\\n let client = self.client.clone();\\n\\n async move {\\n let start = Instant::now();\\n\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n index = %request.index_uid,\\n operation = \\\"preflight\\\",\\n term_count = request.terms.len(),\\n \\\"node call started\\\"\\n );\\n\\n // 1. Get total docs from Meilisearch stats endpoint\\n let stats_url = format!(\\\"{}/indexes/{}/stats\\\", base, request.index_uid);\\n let stats_resp = client\\n .get(&stats_url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", master_key))\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Stats request failed: {}\\\", e)))?;\\n\\n if !stats_resp.status().is_success() {\\n // Index not found or node unreachable — return empty stats\\n return Ok(PreflightResponse {\\n total_docs: 0,\\n avg_doc_length: 0.0,\\n term_stats: HashMap::new(),\\n });\\n }\\n\\n let stats_body: Value = stats_resp\\n .json()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to parse stats: {}\\\", e)))?;\\n\\n let total_docs = stats_body\\n .get(\\\"numberOfDocuments\\\")\\n .and_then(|v| v.as_u64())\\n .unwrap_or(0);\\n\\n // 2. Get DF for each term via search with limit=0\\n let mut term_stats = HashMap::new();\\n let search_url = format!(\\\"{}/indexes/{}/search\\\", base, request.index_uid);\\n for term in &request.terms {\\n let search_body = serde_json::json!({\\\"q\\\": term, \\\"limit\\\": 0});\\n\\n let search_resp = client\\n .post(&search_url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", master_key))\\n .json(&search_body)\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"DF search failed: {}\\\", e)))?;\\n\\n if search_resp.status().is_success() {\\n let body: Value = search_resp\\n .json()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to parse DF response: {}\\\", e)))?;\\n let df = body\\n .get(\\\"estimatedTotalHits\\\")\\n .and_then(|v| v.as_u64())\\n .unwrap_or(0);\\n term_stats.insert(term.clone(), TermStats { df });\\n }\\n }\\n\\n // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\\n // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\\n let avg_doc_length = 500.0;\\n\\n let duration_ms = start.elapsed().as_millis() as u64;\\n tracing::debug!(\\n target: \\\"miroir.node\\\",\\n node_id = %node,\\n address = %address,\\n operation = \\\"preflight\\\",\\n duration_ms,\\n total_docs,\\n \\\"node call completed\\\"\\n );\\n\\n Ok(PreflightResponse {\\n total_docs,\\n avg_doc_length,\\n term_stats,\\n })\\n }\\n }\\n\\n fn get_task_status(\\n &self,\\n node: &NodeId,\\n address: &str,\\n request: &TaskStatusRequest,\\n ) -> impl std::future::Future> + Send {\\n let task_uid = request.task_uid;\\n let url = Self::task_url_static(address, task_uid);\\n let master_key = self.master_key.clone();\\n let client = self.client.clone();\\n\\n async move {\\n let response = client\\n .get(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", master_key))\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e)))?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n if !status.is_success() {\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n // Parse successful response\\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })?;\\n\\n Ok(TaskStatusResponse {\\n task_uid,\\n status: json.get(\\\"status\\\")\\n .and_then(|v| v.as_str())\\n .unwrap_or(\\\"enqueued\\\")\\n .to_string(),\\n error: json.get(\\\"error\\\")\\n .and_then(|v| v.get(\\\"message\\\"))\\n .and_then(|v| v.as_str())\\n .map(|s| s.to_string()),\\n error_type: json.get(\\\"error\\\")\\n .and_then(|v| v.get(\\\"type\\\"))\\n .and_then(|v| v.as_str())\\n .map(|s| s.to_string()),\\n })\\n }\\n }\\n\\n fn fetch_documents(\\n &self,\\n _node: &NodeId,\\n address: &str,\\n request: &FetchDocumentsRequest,\\n ) -> impl std::future::Future> + Send {\\n let address = address.to_string();\\n let request = request.clone();\\n let url = format!(\\n \\\"{}/indexes/{}/documents\\\",\\n address.trim_end_matches('/'),\\n request.index_uid\\n );\\n let master_key = self.master_key.clone();\\n let client = self.client.clone();\\n\\n async move {\\n let mut query_params = Vec::new();\\n query_params.push((\\\"limit\\\", request.limit.to_string()));\\n query_params.push((\\\"offset\\\", request.offset.to_string()));\\n\\n if let Some(filter_obj) = request.filter.as_object() {\\n if !filter_obj.is_empty() {\\n // Convert filter to Meilisearch filter syntax\\n let filter_str = serde_json::to_string(&request.filter)\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to serialize filter: {}\\\", e)))?;\\n query_params.push((\\\"filter\\\", filter_str));\\n }\\n }\\n\\n let response = client\\n .get(&url)\\n .header(\\\"Authorization\\\", format!(\\\"Bearer {}\\\", master_key))\\n .query(&query_params)\\n .send()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Request failed: {}\\\", e)))?;\\n\\n let status = response.status();\\n let body_text = response\\n .text()\\n .await\\n .map_err(|e| NodeError::NetworkError(format!(\\\"Failed to read response: {}\\\", e)))?;\\n\\n if !status.is_success() {\\n return Err(NodeError::HttpError {\\n status: status.as_u16(),\\n body: body_text,\\n });\\n }\\n\\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\\n NodeError::NetworkError(format!(\\\"Failed to parse JSON response: {}\\\", e))\\n })?;\\n\\n let results = json.get(\\\"results\\\")\\n .and_then(|v| v.as_array())\\n .cloned()\\n .unwrap_or_default();\\n\\n let total = json.get(\\\"total\\\")\\n .and_then(|v| v.as_u64())\\n .unwrap_or(0);\\n\\n Ok(FetchDocumentsResponse {\\n results,\\n limit: request.limit,\\n offset: request.offset,\\n total,\\n })\\n }\\n }\\n}\"}"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"90cc2f0f-7e8f-4e33-8156-bf6081aaae96"} +{"type":"assistant","message":{"id":"msg_20260523204409883f5d07f3034f25","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_d0eba0df4d5a4c5c8eacea70","name":"Edit","input":{"replace_all":false,"file_path":"/home/coding/miroir/crates/miroir-proxy/src/client.rs","old_string":"#[allow(async_fn_in_trait)]\nimpl NodeClient for HttpClient {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let span = tracing::info_span!(\n \"node_call\",\n node_id = %node,\n address = %address,\n operation = \"search\",\n index = %request.index_uid,\n );\n let _guard = span.enter();\n\n let start = Instant::now();\n let url = self.search_url(address, &request.index_uid);\n\n let mut body = request.to_node_body();\n\n if let Some(global_idf) = &request.global_idf {\n body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;\n }\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&body)\n .send()\n .await\n .map_err(|e| {\n tracing::warn!(\n target: \"miroir.node\",\n duration_ms = start.elapsed().as_millis() as u64,\n error = %e,\n \"node call failed\"\n );\n NodeError::NetworkError(format!(\"Request failed: {}\", e))\n })?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n\n if !status.is_success() {\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n status = status.as_u16(),\n \"node call error response\"\n );\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n \"node call completed\"\n );\n\n serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })\n }\n\n async fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &WriteRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = self.documents_url(address, &request.index_uid);\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"write_documents\",\n \"node call started\"\n );\n\n let mut query_params = Vec::new();\n if let Some(pk) = &request.primary_key {\n query_params.push((\"primaryKey\", pk.as_str()));\n }\n\n let mut req_builder = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.documents);\n\n if !query_params.is_empty() {\n req_builder = req_builder.query(&query_params);\n }\n\n let response = req_builder\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"write_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n Ok(WriteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = self.documents_url(address, &request.index_uid);\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_documents\",\n \"node call started\"\n );\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.ids)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = format!(\n \"{}/indexes/{}/documents/delete\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_by_filter\",\n \"node call started\"\n );\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.filter)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_by_filter\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let base = address.trim_end_matches('/');\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"preflight\",\n term_count = request.terms.len(),\n \"node call started\"\n );\n\n // 1. Get total docs from Meilisearch stats endpoint\n let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);\n let stats_resp = self\n .client\n .get(&stats_url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;\n\n if !stats_resp.status().is_success() {\n // Index not found or node unreachable — return empty stats\n return Ok(PreflightResponse {\n total_docs: 0,\n avg_doc_length: 0.0,\n term_stats: HashMap::new(),\n });\n }\n\n let stats_body: Value = stats_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;\n\n let total_docs = stats_body\n .get(\"numberOfDocuments\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n // 2. Get DF for each term via search with limit=0\n let mut term_stats = HashMap::new();\n let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);\n for term in &request.terms {\n let search_body = serde_json::json!({\"q\": term, \"limit\": 0});\n\n let search_resp = self\n .client\n .post(&search_url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&search_body)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;\n\n if search_resp.status().is_success() {\n let body: Value = search_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;\n let df = body\n .get(\"estimatedTotalHits\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n term_stats.insert(term.clone(), TermStats { df });\n }\n }\n\n // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\n // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\n let avg_doc_length = 500.0;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"preflight\",\n duration_ms,\n total_docs,\n \"node call completed\"\n );\n\n Ok(PreflightResponse {\n total_docs,\n avg_doc_length,\n term_stats,\n })\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n address: &str,\n request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let task_uid = request.task_uid;\n let url = Self::task_url_static(address, task_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(TaskStatusResponse {\n task_uid,\n status: json.get(\"status\")\n .and_then(|v| v.as_str())\n .unwrap_or(\"enqueued\")\n .to_string(),\n error: json.get(\"error\")\n .and_then(|v| v.get(\"message\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n error_type: json.get(\"error\")\n .and_then(|v| v.get(\"type\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n })\n }\n }\n}","new_string":"impl NodeClient for HttpClient {\n fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = self.search_url(&address, &request.index_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let span = tracing::info_span!(\n \"node_call\",\n node_id = %node,\n address = %address,\n operation = \"search\",\n index = %request.index_uid,\n );\n let _guard = span.enter();\n\n let start = Instant::now();\n\n let mut body = request.to_node_body();\n\n if let Some(global_idf) = &request.global_idf {\n body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;\n }\n\n let response = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&body)\n .send()\n .await\n .map_err(|e| {\n tracing::warn!(\n target: \"miroir.node\",\n duration_ms = start.elapsed().as_millis() as u64,\n error = %e,\n \"node call failed\"\n );\n NodeError::NetworkError(format!(\"Request failed: {}\", e))\n })?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n\n if !status.is_success() {\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n status = status.as_u16(),\n \"node call error response\"\n );\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n \"node call completed\"\n );\n\n serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })\n }\n }\n\n fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &WriteRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"write_documents\",\n \"node call started\"\n );\n\n let mut query_params = Vec::new();\n if let Some(pk) = &request.primary_key {\n query_params.push((\"primaryKey\", pk.as_str()));\n }\n\n let mut req_builder = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&request.documents);\n\n if !query_params.is_empty() {\n req_builder = req_builder.query(&query_params);\n }\n\n let response = req_builder\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"write_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n Ok(WriteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_documents\",\n \"node call started\"\n );\n\n let response = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&request.ids)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents/delete\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_by_filter\",\n \"node call started\"\n );\n\n let response = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&request.filter)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_by_filter\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &PreflightRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let base = address.trim_end_matches('/').to_string();\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"preflight\",\n term_count = request.terms.len(),\n \"node call started\"\n );\n\n // 1. Get total docs from Meilisearch stats endpoint\n let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);\n let stats_resp = client\n .get(&stats_url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;\n\n if !stats_resp.status().is_success() {\n // Index not found or node unreachable — return empty stats\n return Ok(PreflightResponse {\n total_docs: 0,\n avg_doc_length: 0.0,\n term_stats: HashMap::new(),\n });\n }\n\n let stats_body: Value = stats_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;\n\n let total_docs = stats_body\n .get(\"numberOfDocuments\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n // 2. Get DF for each term via search with limit=0\n let mut term_stats = HashMap::new();\n let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);\n for term in &request.terms {\n let search_body = serde_json::json!({\"q\": term, \"limit\": 0});\n\n let search_resp = client\n .post(&search_url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&search_body)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;\n\n if search_resp.status().is_success() {\n let body: Value = search_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;\n let df = body\n .get(\"estimatedTotalHits\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n term_stats.insert(term.clone(), TermStats { df });\n }\n }\n\n // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\n // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\n let avg_doc_length = 500.0;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"preflight\",\n duration_ms,\n total_docs,\n \"node call completed\"\n );\n\n Ok(PreflightResponse {\n total_docs,\n avg_doc_length,\n term_stats,\n })\n }\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n address: &str,\n request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let task_uid = request.task_uid;\n let url = Self::task_url_static(address, task_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(TaskStatusResponse {\n task_uid,\n status: json.get(\"status\")\n .and_then(|v| v.as_str())\n .unwrap_or(\"enqueued\")\n .to_string(),\n error: json.get(\"error\")\n .and_then(|v| v.get(\"message\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n error_type: json.get(\"error\")\n .and_then(|v| v.get(\"type\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n })\n }\n }\n\n fn fetch_documents(\n &self,\n _node: &NodeId,\n address: &str,\n request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let mut query_params = Vec::new();\n query_params.push((\"limit\", request.limit.to_string()));\n query_params.push((\"offset\", request.offset.to_string()));\n\n if let Some(filter_obj) = request.filter.as_object() {\n if !filter_obj.is_empty() {\n // Convert filter to Meilisearch filter syntax\n let filter_str = serde_json::to_string(&request.filter)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize filter: {}\", e)))?;\n query_params.push((\"filter\", filter_str));\n }\n }\n\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .query(&query_params)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let results = json.get(\"results\")\n .and_then(|v| v.as_array())\n .cloned()\n .unwrap_or_default();\n\n let total = json.get(\"total\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n Ok(FetchDocumentsResponse {\n results,\n limit: request.limit,\n offset: request.offset,\n total,\n })\n }\n }\n}"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"5127bafb-4e20-4fec-ad20-05949863fd81"} +{"type":"stream_event","event":{"type":"content_block_stop","index":2},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"64b5a2a5-24b9-4830-a86b-8bac493f6f1b"} +{"type":"stream_event","event":{"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":5259,"output_tokens":7859,"cache_read_input_tokens":68928,"server_tool_use":{"web_search_requests":0},"service_tier":"standard"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"0c721800-8e09-4978-b894-ce34e9da1418"} +{"type":"stream_event","event":{"type":"message_stop"},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"567af3ab-a18c-42b4-8fc1-50c25c5483d6"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_d0eba0df4d5a4c5c8eacea70","type":"tool_result","content":"The file /home/coding/miroir/crates/miroir-proxy/src/client.rs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"b0ee092b-1077-4a28-8b4f-ca1487449dbf","timestamp":"2026-05-23T12:45:08.774Z","tool_use_result":{"filePath":"/home/coding/miroir/crates/miroir-proxy/src/client.rs","oldString":"#[allow(async_fn_in_trait)]\nimpl NodeClient for HttpClient {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let span = tracing::info_span!(\n \"node_call\",\n node_id = %node,\n address = %address,\n operation = \"search\",\n index = %request.index_uid,\n );\n let _guard = span.enter();\n\n let start = Instant::now();\n let url = self.search_url(address, &request.index_uid);\n\n let mut body = request.to_node_body();\n\n if let Some(global_idf) = &request.global_idf {\n body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;\n }\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&body)\n .send()\n .await\n .map_err(|e| {\n tracing::warn!(\n target: \"miroir.node\",\n duration_ms = start.elapsed().as_millis() as u64,\n error = %e,\n \"node call failed\"\n );\n NodeError::NetworkError(format!(\"Request failed: {}\", e))\n })?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n\n if !status.is_success() {\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n status = status.as_u16(),\n \"node call error response\"\n );\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n \"node call completed\"\n );\n\n serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })\n }\n\n async fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &WriteRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = self.documents_url(address, &request.index_uid);\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"write_documents\",\n \"node call started\"\n );\n\n let mut query_params = Vec::new();\n if let Some(pk) = &request.primary_key {\n query_params.push((\"primaryKey\", pk.as_str()));\n }\n\n let mut req_builder = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.documents);\n\n if !query_params.is_empty() {\n req_builder = req_builder.query(&query_params);\n }\n\n let response = req_builder\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"write_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n Ok(WriteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = self.documents_url(address, &request.index_uid);\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_documents\",\n \"node call started\"\n );\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.ids)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = format!(\n \"{}/indexes/{}/documents/delete\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_by_filter\",\n \"node call started\"\n );\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.filter)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_by_filter\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let base = address.trim_end_matches('/');\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"preflight\",\n term_count = request.terms.len(),\n \"node call started\"\n );\n\n // 1. Get total docs from Meilisearch stats endpoint\n let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);\n let stats_resp = self\n .client\n .get(&stats_url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;\n\n if !stats_resp.status().is_success() {\n // Index not found or node unreachable — return empty stats\n return Ok(PreflightResponse {\n total_docs: 0,\n avg_doc_length: 0.0,\n term_stats: HashMap::new(),\n });\n }\n\n let stats_body: Value = stats_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;\n\n let total_docs = stats_body\n .get(\"numberOfDocuments\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n // 2. Get DF for each term via search with limit=0\n let mut term_stats = HashMap::new();\n let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);\n for term in &request.terms {\n let search_body = serde_json::json!({\"q\": term, \"limit\": 0});\n\n let search_resp = self\n .client\n .post(&search_url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&search_body)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;\n\n if search_resp.status().is_success() {\n let body: Value = search_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;\n let df = body\n .get(\"estimatedTotalHits\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n term_stats.insert(term.clone(), TermStats { df });\n }\n }\n\n // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\n // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\n let avg_doc_length = 500.0;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"preflight\",\n duration_ms,\n total_docs,\n \"node call completed\"\n );\n\n Ok(PreflightResponse {\n total_docs,\n avg_doc_length,\n term_stats,\n })\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n address: &str,\n request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let task_uid = request.task_uid;\n let url = Self::task_url_static(address, task_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(TaskStatusResponse {\n task_uid,\n status: json.get(\"status\")\n .and_then(|v| v.as_str())\n .unwrap_or(\"enqueued\")\n .to_string(),\n error: json.get(\"error\")\n .and_then(|v| v.get(\"message\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n error_type: json.get(\"error\")\n .and_then(|v| v.get(\"type\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n })\n }\n }\n}","newString":"impl NodeClient for HttpClient {\n fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = self.search_url(&address, &request.index_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let span = tracing::info_span!(\n \"node_call\",\n node_id = %node,\n address = %address,\n operation = \"search\",\n index = %request.index_uid,\n );\n let _guard = span.enter();\n\n let start = Instant::now();\n\n let mut body = request.to_node_body();\n\n if let Some(global_idf) = &request.global_idf {\n body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;\n }\n\n let response = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&body)\n .send()\n .await\n .map_err(|e| {\n tracing::warn!(\n target: \"miroir.node\",\n duration_ms = start.elapsed().as_millis() as u64,\n error = %e,\n \"node call failed\"\n );\n NodeError::NetworkError(format!(\"Request failed: {}\", e))\n })?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n\n if !status.is_success() {\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n status = status.as_u16(),\n \"node call error response\"\n );\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n \"node call completed\"\n );\n\n serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })\n }\n }\n\n fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &WriteRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"write_documents\",\n \"node call started\"\n );\n\n let mut query_params = Vec::new();\n if let Some(pk) = &request.primary_key {\n query_params.push((\"primaryKey\", pk.as_str()));\n }\n\n let mut req_builder = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&request.documents);\n\n if !query_params.is_empty() {\n req_builder = req_builder.query(&query_params);\n }\n\n let response = req_builder\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"write_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n Ok(WriteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_documents\",\n \"node call started\"\n );\n\n let response = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&request.ids)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents/delete\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_by_filter\",\n \"node call started\"\n );\n\n let response = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&request.filter)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_by_filter\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &PreflightRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let base = address.trim_end_matches('/').to_string();\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"preflight\",\n term_count = request.terms.len(),\n \"node call started\"\n );\n\n // 1. Get total docs from Meilisearch stats endpoint\n let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);\n let stats_resp = client\n .get(&stats_url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;\n\n if !stats_resp.status().is_success() {\n // Index not found or node unreachable — return empty stats\n return Ok(PreflightResponse {\n total_docs: 0,\n avg_doc_length: 0.0,\n term_stats: HashMap::new(),\n });\n }\n\n let stats_body: Value = stats_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;\n\n let total_docs = stats_body\n .get(\"numberOfDocuments\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n // 2. Get DF for each term via search with limit=0\n let mut term_stats = HashMap::new();\n let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);\n for term in &request.terms {\n let search_body = serde_json::json!({\"q\": term, \"limit\": 0});\n\n let search_resp = client\n .post(&search_url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&search_body)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;\n\n if search_resp.status().is_success() {\n let body: Value = search_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;\n let df = body\n .get(\"estimatedTotalHits\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n term_stats.insert(term.clone(), TermStats { df });\n }\n }\n\n // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\n // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\n let avg_doc_length = 500.0;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"preflight\",\n duration_ms,\n total_docs,\n \"node call completed\"\n );\n\n Ok(PreflightResponse {\n total_docs,\n avg_doc_length,\n term_stats,\n })\n }\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n address: &str,\n request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let task_uid = request.task_uid;\n let url = Self::task_url_static(address, task_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(TaskStatusResponse {\n task_uid,\n status: json.get(\"status\")\n .and_then(|v| v.as_str())\n .unwrap_or(\"enqueued\")\n .to_string(),\n error: json.get(\"error\")\n .and_then(|v| v.get(\"message\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n error_type: json.get(\"error\")\n .and_then(|v| v.get(\"type\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n })\n }\n }\n\n fn fetch_documents(\n &self,\n _node: &NodeId,\n address: &str,\n request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let mut query_params = Vec::new();\n query_params.push((\"limit\", request.limit.to_string()));\n query_params.push((\"offset\", request.offset.to_string()));\n\n if let Some(filter_obj) = request.filter.as_object() {\n if !filter_obj.is_empty() {\n // Convert filter to Meilisearch filter syntax\n let filter_str = serde_json::to_string(&request.filter)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize filter: {}\", e)))?;\n query_params.push((\"filter\", filter_str));\n }\n }\n\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .query(&query_params)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let results = json.get(\"results\")\n .and_then(|v| v.as_array())\n .cloned()\n .unwrap_or_default();\n\n let total = json.get(\"total\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n Ok(FetchDocumentsResponse {\n results,\n limit: request.limit,\n offset: request.offset,\n total,\n })\n }\n }\n}","originalFile":"//! HTTP client for communicating with Meilisearch nodes.\n\nuse miroir_core::scatter::{\n DeleteByIdsRequest, DeleteByFilterRequest, DeleteResponse, NodeClient, NodeError,\n PreflightRequest, PreflightResponse, SearchRequest, TaskStatusRequest, TaskStatusResponse,\n TermStats, WriteRequest, WriteResponse,\n};\nuse miroir_core::topology::NodeId;\nuse reqwest::Client;\nuse serde_json::Value;\nuse std::collections::HashMap;\nuse std::time::{Duration, Instant};\n\n/// HTTP client implementation for node communication.\npub struct HttpClient {\n client: Client,\n master_key: String,\n}\n\nimpl HttpClient {\n /// Create a new HTTP client.\n pub fn new(master_key: String, timeout_ms: u64) -> Self {\n let client = Client::builder()\n .timeout(Duration::from_millis(timeout_ms))\n .build()\n .expect(\"Failed to create HTTP client\");\n\n Self { client, master_key }\n }\n\n /// Build the search URL for a node and index.\n fn search_url(&self, address: &str, index_uid: &str) -> String {\n format!(\"{}/indexes/{}/search\", address.trim_end_matches('/'), index_uid)\n }\n\n /// Build the preflight URL for a node and index.\n #[allow(dead_code)]\n fn preflight_url(&self, address: &str, index_uid: &str) -> String {\n format!(\"{}/indexes/{}/_preflight\", address.trim_end_matches('/'), index_uid)\n }\n\n /// Build the documents URL for a node and index.\n fn documents_url(&self, address: &str, index_uid: &str) -> String {\n format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n index_uid\n )\n }\n\n /// Build the task URL for a node.\n fn task_url(&self, address: &str, task_uid: u64) -> String {\n format!(\"{}/tasks/{}\", address.trim_end_matches('/'), task_uid)\n }\n\n /// Static version of task_url for use in async blocks.\n fn task_url_static(address: &str, task_uid: u64) -> String {\n format!(\"{}/tasks/{}\", address.trim_end_matches('/'), task_uid)\n }\n}\n\n#[allow(async_fn_in_trait)]\nimpl NodeClient for HttpClient {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let span = tracing::info_span!(\n \"node_call\",\n node_id = %node,\n address = %address,\n operation = \"search\",\n index = %request.index_uid,\n );\n let _guard = span.enter();\n\n let start = Instant::now();\n let url = self.search_url(address, &request.index_uid);\n\n let mut body = request.to_node_body();\n\n if let Some(global_idf) = &request.global_idf {\n body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;\n }\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&body)\n .send()\n .await\n .map_err(|e| {\n tracing::warn!(\n target: \"miroir.node\",\n duration_ms = start.elapsed().as_millis() as u64,\n error = %e,\n \"node call failed\"\n );\n NodeError::NetworkError(format!(\"Request failed: {}\", e))\n })?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n\n if !status.is_success() {\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n status = status.as_u16(),\n \"node call error response\"\n );\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n \"node call completed\"\n );\n\n serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })\n }\n\n async fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &WriteRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = self.documents_url(address, &request.index_uid);\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"write_documents\",\n \"node call started\"\n );\n\n let mut query_params = Vec::new();\n if let Some(pk) = &request.primary_key {\n query_params.push((\"primaryKey\", pk.as_str()));\n }\n\n let mut req_builder = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.documents);\n\n if !query_params.is_empty() {\n req_builder = req_builder.query(&query_params);\n }\n\n let response = req_builder\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"write_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n Ok(WriteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByIdsRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = self.documents_url(address, &request.index_uid);\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_documents\",\n \"node call started\"\n );\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.ids)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByFilterRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let url = format!(\n \"{}/indexes/{}/documents/delete\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_by_filter\",\n \"node call started\"\n );\n\n let response = self\n .client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&request.filter)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_by_filter\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n\n async fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let base = address.trim_end_matches('/');\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"preflight\",\n term_count = request.terms.len(),\n \"node call started\"\n );\n\n // 1. Get total docs from Meilisearch stats endpoint\n let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);\n let stats_resp = self\n .client\n .get(&stats_url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;\n\n if !stats_resp.status().is_success() {\n // Index not found or node unreachable — return empty stats\n return Ok(PreflightResponse {\n total_docs: 0,\n avg_doc_length: 0.0,\n term_stats: HashMap::new(),\n });\n }\n\n let stats_body: Value = stats_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;\n\n let total_docs = stats_body\n .get(\"numberOfDocuments\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n // 2. Get DF for each term via search with limit=0\n let mut term_stats = HashMap::new();\n let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);\n for term in &request.terms {\n let search_body = serde_json::json!({\"q\": term, \"limit\": 0});\n\n let search_resp = self\n .client\n .post(&search_url)\n .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))\n .json(&search_body)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;\n\n if search_resp.status().is_success() {\n let body: Value = search_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;\n let df = body\n .get(\"estimatedTotalHits\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n term_stats.insert(term.clone(), TermStats { df });\n }\n }\n\n // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\n // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\n let avg_doc_length = 500.0;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"preflight\",\n duration_ms,\n total_docs,\n \"node call completed\"\n );\n\n Ok(PreflightResponse {\n total_docs,\n avg_doc_length,\n term_stats,\n })\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n address: &str,\n request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let task_uid = request.task_uid;\n let url = Self::task_url_static(address, task_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(TaskStatusResponse {\n task_uid,\n status: json.get(\"status\")\n .and_then(|v| v.as_str())\n .unwrap_or(\"enqueued\")\n .to_string(),\n error: json.get(\"error\")\n .and_then(|v| v.get(\"message\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n error_type: json.get(\"error\")\n .and_then(|v| v.get(\"type\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n })\n }\n }\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n\n #[test]\n fn test_search_url_construction() {\n let client = HttpClient::new(\"test-key\".into(), 5000);\n assert_eq!(\n client.search_url(\"http://localhost:7700\", \"my_index\"),\n \"http://localhost:7700/indexes/my_index/search\"\n );\n assert_eq!(\n client.search_url(\"http://localhost:7700/\", \"my_index\"),\n \"http://localhost:7700/indexes/my_index/search\"\n );\n }\n\n #[test]\n fn test_preflight_url_construction() {\n let client = HttpClient::new(\"test-key\".into(), 5000);\n assert_eq!(\n client.preflight_url(\"http://localhost:7700\", \"my_index\"),\n \"http://localhost:7700/indexes/my_index/_preflight\"\n );\n }\n}\n","structuredPatch":[{"oldStart":59,"oldLines":418,"newStart":59,"newLines":459,"lines":[" }"," }"," ","-#[allow(async_fn_in_trait)]"," impl NodeClient for HttpClient {","- async fn search_node(","+ fn search_node("," &self,"," node: &NodeId,"," address: &str,"," request: &SearchRequest,","- ) -> std::result::Result {","- let span = tracing::info_span!(","- \"node_call\",","- node_id = %node,","- address = %address,","- operation = \"search\",","- index = %request.index_uid,","- );","- let _guard = span.enter();","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let address = address.to_string();","+ let request = request.clone();","+ let url = self.search_url(&address, &request.index_uid);","+ let master_key = self.master_key.clone();","+ let client = self.client.clone();"," ","- let start = Instant::now();","- let url = self.search_url(address, &request.index_uid);","+ async move {","+ let span = tracing::info_span!(","+ \"node_call\",","+ node_id = %node,","+ address = %address,","+ operation = \"search\",","+ index = %request.index_uid,","+ );","+ let _guard = span.enter();"," ","- let mut body = request.to_node_body();","+ let start = Instant::now();"," ","- if let Some(global_idf) = &request.global_idf {","- body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)","- .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;","- }","+ let mut body = request.to_node_body();"," ","- let response = self","- .client","- .post(&url)","- .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))","- .json(&body)","- .send()","- .await","- .map_err(|e| {","- tracing::warn!(","- target: \"miroir.node\",","- duration_ms = start.elapsed().as_millis() as u64,","- error = %e,","- \"node call failed\"","- );","- NodeError::NetworkError(format!(\"Request failed: {}\", e))","- })?;","+ if let Some(global_idf) = &request.global_idf {","+ body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)","+ .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;","+ }"," ","- let status = response.status();","- let body_text = response","- .text()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;","+ let response = client","+ .post(&url)","+ .header(\"Authorization\", format!(\"Bearer {}\", master_key))","+ .json(&body)","+ .send()","+ .await","+ .map_err(|e| {","+ tracing::warn!(","+ target: \"miroir.node\",","+ duration_ms = start.elapsed().as_millis() as u64,","+ error = %e,","+ \"node call failed\"","+ );","+ NodeError::NetworkError(format!(\"Request failed: {}\", e))","+ })?;"," ","- let duration_ms = start.elapsed().as_millis() as u64;","+ let status = response.status();","+ let body_text = response","+ .text()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;"," ","- if !status.is_success() {","+ let duration_ms = start.elapsed().as_millis() as u64;","+","+ if !status.is_success() {","+ tracing::debug!(","+ target: \"miroir.node\",","+ duration_ms,","+ status = status.as_u16(),","+ \"node call error response\"","+ );","+ return Err(NodeError::HttpError {","+ status: status.as_u16(),","+ body: body_text,","+ });","+ }","+"," tracing::debug!("," target: \"miroir.node\","," duration_ms,","- status = status.as_u16(),","- \"node call error response\"","+ \"node call completed\""," );","- return Err(NodeError::HttpError {","- status: status.as_u16(),","- body: body_text,","- });","- }"," ","- tracing::debug!(","- target: \"miroir.node\",","- duration_ms,","- \"node call completed\"","- );","-","- serde_json::from_str(&body_text).map_err(|e| {","- NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))","- })","+ serde_json::from_str(&body_text).map_err(|e| {","+ NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))","+ })","+ }"," }"," ","- async fn write_documents(","+ fn write_documents("," &self,"," node: &NodeId,"," address: &str,"," request: &WriteRequest,","- ) -> std::result::Result {","- let start = Instant::now();","- let url = self.documents_url(address, &request.index_uid);","-","- tracing::debug!(","- target: \"miroir.node\",","- node_id = %node,","- address = %address,","- index = %request.index_uid,","- operation = \"write_documents\",","- \"node call started\"","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let address = address.to_string();","+ let request = request.clone();","+ let url = format!(","+ \"{}/indexes/{}/documents\",","+ address.trim_end_matches('/'),","+ request.index_uid"," );","+ let master_key = self.master_key.clone();","+ let client = self.client.clone();"," ","- let mut query_params = Vec::new();","- if let Some(pk) = &request.primary_key {","- query_params.push((\"primaryKey\", pk.as_str()));","- }","+ async move {","+ let start = Instant::now();"," ","- let mut req_builder = self","- .client","- .post(&url)","- .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))","- .json(&request.documents);","+ tracing::debug!(","+ target: \"miroir.node\",","+ node_id = %node,","+ address = %address,","+ index = %request.index_uid,","+ operation = \"write_documents\",","+ \"node call started\"","+ );"," ","- if !query_params.is_empty() {","- req_builder = req_builder.query(&query_params);","- }","+ let mut query_params = Vec::new();","+ if let Some(pk) = &request.primary_key {","+ query_params.push((\"primaryKey\", pk.as_str()));","+ }"," ","- let response = req_builder","- .send()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;","+ let mut req_builder = client","+ .post(&url)","+ .header(\"Authorization\", format!(\"Bearer {}\", master_key))","+ .json(&request.documents);"," ","- let status = response.status();","- let body_text = response","- .text()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;","+ if !query_params.is_empty() {","+ req_builder = req_builder.query(&query_params);","+ }"," ","- if !status.is_success() {","- // Try to parse as Meilisearch error","- if let Ok(meili_err) = serde_json::from_str::(&body_text) {","- return Ok(WriteResponse {","- success: false,","- task_uid: None,","- message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),","- code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),","- error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ let response = req_builder","+ .send()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;","+","+ let status = response.status();","+ let body_text = response","+ .text()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;","+","+ if !status.is_success() {","+ // Try to parse as Meilisearch error","+ if let Ok(meili_err) = serde_json::from_str::(&body_text) {","+ return Ok(WriteResponse {","+ success: false,","+ task_uid: None,","+ message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ });","+ }","+ return Err(NodeError::HttpError {","+ status: status.as_u16(),","+ body: body_text,"," });"," }","- return Err(NodeError::HttpError {","- status: status.as_u16(),","- body: body_text,","- });","- }"," ","- // Parse successful response","- let json: Value = serde_json::from_str(&body_text).map_err(|e| {","- NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))","- })?;","+ // Parse successful response","+ let json: Value = serde_json::from_str(&body_text).map_err(|e| {","+ NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))","+ })?;"," ","- let duration_ms = start.elapsed().as_millis() as u64;","- tracing::debug!(","- target: \"miroir.node\",","- node_id = %node,","- address = %address,","- operation = \"write_documents\",","- duration_ms,","- status = status.as_u16(),","- \"node call completed\"","- );","+ let duration_ms = start.elapsed().as_millis() as u64;","+ tracing::debug!(","+ target: \"miroir.node\",","+ node_id = %node,","+ address = %address,","+ operation = \"write_documents\",","+ duration_ms,","+ status = status.as_u16(),","+ \"node call completed\"","+ );"," ","- Ok(WriteResponse {","- success: true,","- task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),","- message: None,","- code: None,","- error_type: None,","- })","+ Ok(WriteResponse {","+ success: true,","+ task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),","+ message: None,","+ code: None,","+ error_type: None,","+ })","+ }"," }"," ","- async fn delete_documents(","+ fn delete_documents("," &self,"," node: &NodeId,"," address: &str,"," request: &DeleteByIdsRequest,","- ) -> std::result::Result {","- let start = Instant::now();","- let url = self.documents_url(address, &request.index_uid);","-","- tracing::debug!(","- target: \"miroir.node\",","- node_id = %node,","- address = %address,","- index = %request.index_uid,","- operation = \"delete_documents\",","- \"node call started\"","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let address = address.to_string();","+ let request = request.clone();","+ let url = format!(","+ \"{}/indexes/{}/documents\",","+ address.trim_end_matches('/'),","+ request.index_uid"," );","+ let master_key = self.master_key.clone();","+ let client = self.client.clone();"," ","- let response = self","- .client","- .post(&url)","- .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))","- .json(&request.ids)","- .send()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;","+ async move {","+ let start = Instant::now();"," ","- let status = response.status();","- let body_text = response","- .text()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;","+ tracing::debug!(","+ target: \"miroir.node\",","+ node_id = %node,","+ address = %address,","+ index = %request.index_uid,","+ operation = \"delete_documents\",","+ \"node call started\"","+ );"," ","- let duration_ms = start.elapsed().as_millis() as u64;","- tracing::debug!(","- target: \"miroir.node\",","- node_id = %node,","- address = %address,","- operation = \"delete_documents\",","- duration_ms,","- status = status.as_u16(),","- \"node call completed\"","- );","+ let response = client","+ .post(&url)","+ .header(\"Authorization\", format!(\"Bearer {}\", master_key))","+ .json(&request.ids)","+ .send()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;"," ","- if !status.is_success() {","- // Try to parse as Meilisearch error","- if let Ok(meili_err) = serde_json::from_str::(&body_text) {","- return Ok(DeleteResponse {","- success: false,","- task_uid: None,","- message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),","- code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),","- error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ let status = response.status();","+ let body_text = response","+ .text()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;","+","+ let duration_ms = start.elapsed().as_millis() as u64;","+ tracing::debug!(","+ target: \"miroir.node\",","+ node_id = %node,","+ address = %address,","+ operation = \"delete_documents\",","+ duration_ms,","+ status = status.as_u16(),","+ \"node call completed\"","+ );","+","+ if !status.is_success() {","+ // Try to parse as Meilisearch error","+ if let Ok(meili_err) = serde_json::from_str::(&body_text) {","+ return Ok(DeleteResponse {","+ success: false,","+ task_uid: None,","+ message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ });","+ }","+ return Err(NodeError::HttpError {","+ status: status.as_u16(),","+ body: body_text,"," });"," }","- return Err(NodeError::HttpError {","- status: status.as_u16(),","- body: body_text,","- });","- }"," ","- // Parse successful response","- let json: Value = serde_json::from_str(&body_text).map_err(|e| {","- NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))","- })?;","+ // Parse successful response","+ let json: Value = serde_json::from_str(&body_text).map_err(|e| {","+ NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))","+ })?;"," ","- Ok(DeleteResponse {","- success: true,","- task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),","- message: None,","- code: None,","- error_type: None,","- })","+ Ok(DeleteResponse {","+ success: true,","+ task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),","+ message: None,","+ code: None,","+ error_type: None,","+ })","+ }"," }"," ","- async fn delete_documents_by_filter(","+ fn delete_documents_by_filter("," &self,"," node: &NodeId,"," address: &str,"," request: &DeleteByFilterRequest,","- ) -> std::result::Result {","- let start = Instant::now();","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let address = address.to_string();","+ let request = request.clone();"," let url = format!("," \"{}/indexes/{}/documents/delete\","," address.trim_end_matches('/'),"," request.index_uid"," );","+ let master_key = self.master_key.clone();","+ let client = self.client.clone();"," ","- tracing::debug!(","- target: \"miroir.node\",","- node_id = %node,","- address = %address,","- index = %request.index_uid,","- operation = \"delete_by_filter\",","- \"node call started\"","- );","+ async move {","+ let start = Instant::now();"," ","- let response = self","- .client","- .post(&url)","- .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))","- .json(&request.filter)","- .send()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;","+ tracing::debug!(","+ target: \"miroir.node\",","+ node_id = %node,","+ address = %address,","+ index = %request.index_uid,","+ operation = \"delete_by_filter\",","+ \"node call started\"","+ );"," ","- let status = response.status();","- let body_text = response","- .text()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;","+ let response = client","+ .post(&url)","+ .header(\"Authorization\", format!(\"Bearer {}\", master_key))","+ .json(&request.filter)","+ .send()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;"," ","- let duration_ms = start.elapsed().as_millis() as u64;","- tracing::debug!(","- target: \"miroir.node\",","- node_id = %node,","- address = %address,","- operation = \"delete_by_filter\",","- duration_ms,","- status = status.as_u16(),","- \"node call completed\"","- );","+ let status = response.status();","+ let body_text = response","+ .text()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;"," ","- if !status.is_success() {","- // Try to parse as Meilisearch error","- if let Ok(meili_err) = serde_json::from_str::(&body_text) {","- return Ok(DeleteResponse {","- success: false,","- task_uid: None,","- message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),","- code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),","- error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ let duration_ms = start.elapsed().as_millis() as u64;","+ tracing::debug!(","+ target: \"miroir.node\",","+ node_id = %node,","+ address = %address,","+ operation = \"delete_by_filter\",","+ duration_ms,","+ status = status.as_u16(),","+ \"node call completed\"","+ );","+","+ if !status.is_success() {","+ // Try to parse as Meilisearch error","+ if let Ok(meili_err) = serde_json::from_str::(&body_text) {","+ return Ok(DeleteResponse {","+ success: false,","+ task_uid: None,","+ message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),","+ });","+ }","+ return Err(NodeError::HttpError {","+ status: status.as_u16(),","+ body: body_text,"," });"," }","- return Err(NodeError::HttpError {","- status: status.as_u16(),","- body: body_text,","- });","- }"," ","- // Parse successful response","- let json: Value = serde_json::from_str(&body_text).map_err(|e| {","- NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))","- })?;","+ // Parse successful response","+ let json: Value = serde_json::from_str(&body_text).map_err(|e| {","+ NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))","+ })?;"," ","- Ok(DeleteResponse {","- success: true,","- task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),","- message: None,","- code: None,","- error_type: None,","- })","+ Ok(DeleteResponse {","+ success: true,","+ task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),","+ message: None,","+ code: None,","+ error_type: None,","+ })","+ }"," }"," ","- async fn preflight_node(","+ fn preflight_node("," &self,"," node: &NodeId,"," address: &str,"," request: &PreflightRequest,","- ) -> std::result::Result {","- let start = Instant::now();","- let base = address.trim_end_matches('/');","+ ) -> impl std::future::Future> + Send {","+ let node = node.clone();","+ let address = address.to_string();","+ let request = request.clone();","+ let base = address.trim_end_matches('/').to_string();","+ let master_key = self.master_key.clone();","+ let client = self.client.clone();"," ","- tracing::debug!(","- target: \"miroir.node\",","- node_id = %node,","- address = %address,","- index = %request.index_uid,","- operation = \"preflight\",","- term_count = request.terms.len(),","- \"node call started\"","- );","+ async move {","+ let start = Instant::now();"," ","- // 1. Get total docs from Meilisearch stats endpoint","- let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);","- let stats_resp = self","- .client","- .get(&stats_url)","- .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))","- .send()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;","+ tracing::debug!(","+ target: \"miroir.node\",","+ node_id = %node,","+ address = %address,","+ index = %request.index_uid,","+ operation = \"preflight\",","+ term_count = request.terms.len(),","+ \"node call started\"","+ );"," ","- if !stats_resp.status().is_success() {","- // Index not found or node unreachable — return empty stats","- return Ok(PreflightResponse {","- total_docs: 0,","- avg_doc_length: 0.0,","- term_stats: HashMap::new(),","- });","- }","+ // 1. Get total docs from Meilisearch stats endpoint","+ let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);","+ let stats_resp = client","+ .get(&stats_url)","+ .header(\"Authorization\", format!(\"Bearer {}\", master_key))","+ .send()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;"," ","- let stats_body: Value = stats_resp","- .json()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;","+ if !stats_resp.status().is_success() {","+ // Index not found or node unreachable — return empty stats","+ return Ok(PreflightResponse {","+ total_docs: 0,","+ avg_doc_length: 0.0,","+ term_stats: HashMap::new(),","+ });","+ }"," ","- let total_docs = stats_body","- .get(\"numberOfDocuments\")","- .and_then(|v| v.as_u64())","- .unwrap_or(0);","+ let stats_body: Value = stats_resp","+ .json()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;"," ","- // 2. Get DF for each term via search with limit=0","- let mut term_stats = HashMap::new();","- let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);","- for term in &request.terms {","- let search_body = serde_json::json!({\"q\": term, \"limit\": 0});","+ let total_docs = stats_body","+ .get(\"numberOfDocuments\")","+ .and_then(|v| v.as_u64())","+ .unwrap_or(0);"," ","- let search_resp = self","- .client","- .post(&search_url)","- .header(\"Authorization\", format!(\"Bearer {}\", self.master_key))","- .json(&search_body)","- .send()","- .await","- .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;","+ // 2. Get DF for each term via search with limit=0","+ let mut term_stats = HashMap::new();","+ let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);","+ for term in &request.terms {","+ let search_body = serde_json::json!({\"q\": term, \"limit\": 0});"," ","- if search_resp.status().is_success() {","- let body: Value = search_resp","- .json()","+ let search_resp = client","+ .post(&search_url)","+ .header(\"Authorization\", format!(\"Bearer {}\", master_key))","+ .json(&search_body)","+ .send()"," .await","- .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;","- let df = body","- .get(\"estimatedTotalHits\")","- .and_then(|v| v.as_u64())","- .unwrap_or(0);","- term_stats.insert(term.clone(), TermStats { df });","+ .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;","+","+ if search_resp.status().is_success() {","+ let body: Value = search_resp","+ .json()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;","+ let df = body","+ .get(\"estimatedTotalHits\")","+ .and_then(|v| v.as_u64())","+ .unwrap_or(0);","+ term_stats.insert(term.clone(), TermStats { df });","+ }"," }","- }"," ","- // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;","- // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)","- let avg_doc_length = 500.0;","+ // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;","+ // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)","+ let avg_doc_length = 500.0;"," ","- let duration_ms = start.elapsed().as_millis() as u64;","- tracing::debug!(","- target: \"miroir.node\",","- node_id = %node,","- address = %address,","- operation = \"preflight\",","- duration_ms,","- total_docs,","- \"node call completed\"","- );","+ let duration_ms = start.elapsed().as_millis() as u64;","+ tracing::debug!(","+ target: \"miroir.node\",","+ node_id = %node,","+ address = %address,","+ operation = \"preflight\",","+ duration_ms,","+ total_docs,","+ \"node call completed\"","+ );"," ","- Ok(PreflightResponse {","- total_docs,","- avg_doc_length,","- term_stats,","- })","+ Ok(PreflightResponse {","+ total_docs,","+ avg_doc_length,","+ term_stats,","+ })","+ }"," }"," "," fn get_task_status("]},{"oldStart":527,"oldLines":6,"newStart":568,"newLines":79,"lines":[" })"," }"," }","+","+ fn fetch_documents(","+ &self,","+ _node: &NodeId,","+ address: &str,","+ request: &FetchDocumentsRequest,","+ ) -> impl std::future::Future> + Send {","+ let address = address.to_string();","+ let request = request.clone();","+ let url = format!(","+ \"{}/indexes/{}/documents\",","+ address.trim_end_matches('/'),","+ request.index_uid","+ );","+ let master_key = self.master_key.clone();","+ let client = self.client.clone();","+","+ async move {","+ let mut query_params = Vec::new();","+ query_params.push((\"limit\", request.limit.to_string()));","+ query_params.push((\"offset\", request.offset.to_string()));","+","+ if let Some(filter_obj) = request.filter.as_object() {","+ if !filter_obj.is_empty() {","+ // Convert filter to Meilisearch filter syntax","+ let filter_str = serde_json::to_string(&request.filter)","+ .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize filter: {}\", e)))?;","+ query_params.push((\"filter\", filter_str));","+ }","+ }","+","+ let response = client","+ .get(&url)","+ .header(\"Authorization\", format!(\"Bearer {}\", master_key))","+ .query(&query_params)","+ .send()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;","+","+ let status = response.status();","+ let body_text = response","+ .text()","+ .await","+ .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;","+","+ if !status.is_success() {","+ return Err(NodeError::HttpError {","+ status: status.as_u16(),","+ body: body_text,","+ });","+ }","+","+ let json: Value = serde_json::from_str(&body_text).map_err(|e| {","+ NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))","+ })?;","+","+ let results = json.get(\"results\")","+ .and_then(|v| v.as_array())","+ .cloned()","+ .unwrap_or_default();","+","+ let total = json.get(\"total\")","+ .and_then(|v| v.as_u64())","+ .unwrap_or(0);","+","+ Ok(FetchDocumentsResponse {","+ results,","+ limit: request.limit,","+ offset: request.offset,","+ total,","+ })","+ }","+ }"," }"," "," #[cfg(test)]"]}],"userModified":false,"replaceAll":false}} +{"type":"system","subtype":"status","status":"requesting","uuid":"b89f663b-ca39-435e-9ff8-3fc11d7f72c2","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} +{"type":"stream_event","event":{"type":"message_start","message":{"id":"msg_2026052320451041395b4b11c14bc6","type":"message","role":"assistant","model":"glm-4.7","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0}}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"68cd7725-c853-4760-af3c-30f2c0425066","ttft_ms":2410} +{"type":"stream_event","event":{"type":"content_block_start","index":0,"content_block":{"type":"thinking","thinking":"","signature":"9e9cb93389e04d7b8fe60960"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"8d52f852-ed73-4a1d-9f5c-429c800968c8"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"I"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"ca4148c5-c86e-4647-8b4e-995eeeac7c01"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" need"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"bf4f3432-dfce-41ae-9611-f90862f225cd"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" to"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"c5c0b95c-578d-4626-9d96-b1adef4fb09e"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" also"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"cd6585ae-cc4e-4d20-9346-7a2bb23887bf"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" add"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"eae78717-4f62-46c5-82a9-7ce6e8cca27a"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" the"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"88d6b6fe-4c57-4829-be81-cb052eaa90ae"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" `"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"cc1a2f7c-24bc-4945-9ad8-f53bbeb82ef7"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"Fetch"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"ae2d1f93-d3ad-42bd-b993-d80027575036"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"Documents"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"eba01fdb-f4a3-4f7f-894d-fc03fed4a83d"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"Request"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"dce0850b-f99a-4ee8-8235-78cf577891b3"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"`"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"d387ab5b-37cb-44b5-b1dd-a94d9bfae690"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" import"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"c3ee2f74-c649-47b0-bc02-51405469f4fd"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" to"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"1b3059cd-369e-4db6-a4a6-f1a2abe904c4"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" the"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"822f1eb3-6e56-41ba-ab76-82a13656aef3"} +{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":" client"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"bf9c77df-aebd-42c4-ac75-7067971b8eb4"} 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(file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"01cb8d6f-05c2-46e1-8d52-7b2271394136","timestamp":"2026-05-23T12:45:16.045Z","tool_use_result":{"filePath":"/home/coding/miroir/crates/miroir-proxy/src/client.rs","oldString":"use miroir_core::scatter::{\n DeleteByIdsRequest, DeleteByFilterRequest, DeleteResponse, NodeClient, NodeError,\n PreflightRequest, PreflightResponse, SearchRequest, TaskStatusRequest, TaskStatusResponse,\n TermStats, WriteRequest, WriteResponse,\n};","newString":"use miroir_core::scatter::{\n DeleteByIdsRequest, DeleteByFilterRequest, DeleteResponse, FetchDocumentsRequest, FetchDocumentsResponse,\n NodeClient, NodeError, PreflightRequest, PreflightResponse, SearchRequest, TaskStatusRequest,\n TaskStatusResponse, TermStats, WriteRequest, WriteResponse,\n};","originalFile":"//! HTTP client for communicating with Meilisearch nodes.\n\nuse miroir_core::scatter::{\n DeleteByIdsRequest, DeleteByFilterRequest, DeleteResponse, NodeClient, NodeError,\n PreflightRequest, PreflightResponse, SearchRequest, TaskStatusRequest, TaskStatusResponse,\n TermStats, WriteRequest, WriteResponse,\n};\nuse miroir_core::topology::NodeId;\nuse reqwest::Client;\nuse serde_json::Value;\nuse std::collections::HashMap;\nuse std::time::{Duration, Instant};\n\n/// HTTP client implementation for node communication.\npub struct HttpClient {\n client: Client,\n master_key: String,\n}\n\nimpl HttpClient {\n /// Create a new HTTP client.\n pub fn new(master_key: String, timeout_ms: u64) -> Self {\n let client = Client::builder()\n .timeout(Duration::from_millis(timeout_ms))\n .build()\n .expect(\"Failed to create HTTP client\");\n\n Self { client, master_key }\n }\n\n /// Build the search URL for a node and index.\n fn search_url(&self, address: &str, index_uid: &str) -> String {\n format!(\"{}/indexes/{}/search\", address.trim_end_matches('/'), index_uid)\n }\n\n /// Build the preflight URL for a node and index.\n #[allow(dead_code)]\n fn preflight_url(&self, address: &str, index_uid: &str) -> String {\n format!(\"{}/indexes/{}/_preflight\", address.trim_end_matches('/'), index_uid)\n }\n\n /// Build the documents URL for a node and index.\n fn documents_url(&self, address: &str, index_uid: &str) -> String {\n format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n index_uid\n )\n }\n\n /// Build the task URL for a node.\n fn task_url(&self, address: &str, task_uid: u64) -> String {\n format!(\"{}/tasks/{}\", address.trim_end_matches('/'), task_uid)\n }\n\n /// Static version of task_url for use in async blocks.\n fn task_url_static(address: &str, task_uid: u64) -> String {\n format!(\"{}/tasks/{}\", address.trim_end_matches('/'), task_uid)\n }\n}\n\nimpl NodeClient for HttpClient {\n fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = self.search_url(&address, &request.index_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let span = tracing::info_span!(\n \"node_call\",\n node_id = %node,\n address = %address,\n operation = \"search\",\n index = %request.index_uid,\n );\n let _guard = span.enter();\n\n let start = Instant::now();\n\n let mut body = request.to_node_body();\n\n if let Some(global_idf) = &request.global_idf {\n body[\"_miroir_global_idf\"] = serde_json::to_value(global_idf)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize global_idf: {}\", e)))?;\n }\n\n let response = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&body)\n .send()\n .await\n .map_err(|e| {\n tracing::warn!(\n target: \"miroir.node\",\n duration_ms = start.elapsed().as_millis() as u64,\n error = %e,\n \"node call failed\"\n );\n NodeError::NetworkError(format!(\"Request failed: {}\", e))\n })?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n\n if !status.is_success() {\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n status = status.as_u16(),\n \"node call error response\"\n );\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n tracing::debug!(\n target: \"miroir.node\",\n duration_ms,\n \"node call completed\"\n );\n\n serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })\n }\n }\n\n fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &WriteRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"write_documents\",\n \"node call started\"\n );\n\n let mut query_params = Vec::new();\n if let Some(pk) = &request.primary_key {\n query_params.push((\"primaryKey\", pk.as_str()));\n }\n\n let mut req_builder = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&request.documents);\n\n if !query_params.is_empty() {\n req_builder = req_builder.query(&query_params);\n }\n\n let response = req_builder\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(WriteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"write_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n Ok(WriteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_documents\",\n \"node call started\"\n );\n\n let response = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&request.ids)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_documents\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents/delete\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"delete_by_filter\",\n \"node call started\"\n );\n\n let response = client\n .post(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&request.filter)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"delete_by_filter\",\n duration_ms,\n status = status.as_u16(),\n \"node call completed\"\n );\n\n if !status.is_success() {\n // Try to parse as Meilisearch error\n if let Ok(meili_err) = serde_json::from_str::(&body_text) {\n return Ok(DeleteResponse {\n success: false,\n task_uid: None,\n message: meili_err.get(\"message\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n code: meili_err.get(\"code\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n error_type: meili_err.get(\"type\").and_then(|v| v.as_str()).map(|s| s.to_string()),\n });\n }\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(DeleteResponse {\n success: true,\n task_uid: json.get(\"taskUid\").and_then(|v| v.as_u64()),\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &PreflightRequest,\n ) -> impl std::future::Future> + Send {\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n let base = address.trim_end_matches('/').to_string();\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let start = Instant::now();\n\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n index = %request.index_uid,\n operation = \"preflight\",\n term_count = request.terms.len(),\n \"node call started\"\n );\n\n // 1. Get total docs from Meilisearch stats endpoint\n let stats_url = format!(\"{}/indexes/{}/stats\", base, request.index_uid);\n let stats_resp = client\n .get(&stats_url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Stats request failed: {}\", e)))?;\n\n if !stats_resp.status().is_success() {\n // Index not found or node unreachable — return empty stats\n return Ok(PreflightResponse {\n total_docs: 0,\n avg_doc_length: 0.0,\n term_stats: HashMap::new(),\n });\n }\n\n let stats_body: Value = stats_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse stats: {}\", e)))?;\n\n let total_docs = stats_body\n .get(\"numberOfDocuments\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n // 2. Get DF for each term via search with limit=0\n let mut term_stats = HashMap::new();\n let search_url = format!(\"{}/indexes/{}/search\", base, request.index_uid);\n for term in &request.terms {\n let search_body = serde_json::json!({\"q\": term, \"limit\": 0});\n\n let search_resp = client\n .post(&search_url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .json(&search_body)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"DF search failed: {}\", e)))?;\n\n if search_resp.status().is_success() {\n let body: Value = search_resp\n .json()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to parse DF response: {}\", e)))?;\n let df = body\n .get(\"estimatedTotalHits\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n term_stats.insert(term.clone(), TermStats { df });\n }\n }\n\n // 3. Estimate avg doc length (Meilisearch doesn't expose this directly;\n // use a default. The BM25 score is mainly sensitive to IDF, not avgdl.)\n let avg_doc_length = 500.0;\n\n let duration_ms = start.elapsed().as_millis() as u64;\n tracing::debug!(\n target: \"miroir.node\",\n node_id = %node,\n address = %address,\n operation = \"preflight\",\n duration_ms,\n total_docs,\n \"node call completed\"\n );\n\n Ok(PreflightResponse {\n total_docs,\n avg_doc_length,\n term_stats,\n })\n }\n }\n\n fn get_task_status(\n &self,\n node: &NodeId,\n address: &str,\n request: &TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n let task_uid = request.task_uid;\n let url = Self::task_url_static(address, task_uid);\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n // Parse successful response\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n Ok(TaskStatusResponse {\n task_uid,\n status: json.get(\"status\")\n .and_then(|v| v.as_str())\n .unwrap_or(\"enqueued\")\n .to_string(),\n error: json.get(\"error\")\n .and_then(|v| v.get(\"message\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n error_type: json.get(\"error\")\n .and_then(|v| v.get(\"type\"))\n .and_then(|v| v.as_str())\n .map(|s| s.to_string()),\n })\n }\n }\n\n fn fetch_documents(\n &self,\n _node: &NodeId,\n address: &str,\n request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n let address = address.to_string();\n let request = request.clone();\n let url = format!(\n \"{}/indexes/{}/documents\",\n address.trim_end_matches('/'),\n request.index_uid\n );\n let master_key = self.master_key.clone();\n let client = self.client.clone();\n\n async move {\n let mut query_params = Vec::new();\n query_params.push((\"limit\", request.limit.to_string()));\n query_params.push((\"offset\", request.offset.to_string()));\n\n if let Some(filter_obj) = request.filter.as_object() {\n if !filter_obj.is_empty() {\n // Convert filter to Meilisearch filter syntax\n let filter_str = serde_json::to_string(&request.filter)\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to serialize filter: {}\", e)))?;\n query_params.push((\"filter\", filter_str));\n }\n }\n\n let response = client\n .get(&url)\n .header(\"Authorization\", format!(\"Bearer {}\", master_key))\n .query(&query_params)\n .send()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Request failed: {}\", e)))?;\n\n let status = response.status();\n let body_text = response\n .text()\n .await\n .map_err(|e| NodeError::NetworkError(format!(\"Failed to read response: {}\", e)))?;\n\n if !status.is_success() {\n return Err(NodeError::HttpError {\n status: status.as_u16(),\n body: body_text,\n });\n }\n\n let json: Value = serde_json::from_str(&body_text).map_err(|e| {\n NodeError::NetworkError(format!(\"Failed to parse JSON response: {}\", e))\n })?;\n\n let results = json.get(\"results\")\n .and_then(|v| v.as_array())\n .cloned()\n .unwrap_or_default();\n\n let total = json.get(\"total\")\n .and_then(|v| v.as_u64())\n .unwrap_or(0);\n\n Ok(FetchDocumentsResponse {\n results,\n limit: request.limit,\n offset: request.offset,\n total,\n })\n }\n }\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n\n #[test]\n fn test_search_url_construction() {\n let client = HttpClient::new(\"test-key\".into(), 5000);\n assert_eq!(\n client.search_url(\"http://localhost:7700\", \"my_index\"),\n \"http://localhost:7700/indexes/my_index/search\"\n );\n assert_eq!(\n client.search_url(\"http://localhost:7700/\", \"my_index\"),\n \"http://localhost:7700/indexes/my_index/search\"\n );\n }\n\n #[test]\n fn test_preflight_url_construction() {\n let client = HttpClient::new(\"test-key\".into(), 5000);\n assert_eq!(\n client.preflight_url(\"http://localhost:7700\", \"my_index\"),\n \"http://localhost:7700/indexes/my_index/_preflight\"\n );\n }\n}\n","structuredPatch":[{"oldStart":1,"oldLines":9,"newStart":1,"newLines":9,"lines":[" //! HTTP client for communicating with Meilisearch nodes."," "," use miroir_core::scatter::{","- DeleteByIdsRequest, DeleteByFilterRequest, DeleteResponse, NodeClient, NodeError,","- PreflightRequest, PreflightResponse, SearchRequest, TaskStatusRequest, TaskStatusResponse,","- TermStats, WriteRequest, WriteResponse,","+ DeleteByIdsRequest, DeleteByFilterRequest, DeleteResponse, FetchDocumentsRequest, FetchDocumentsResponse,","+ NodeClient, NodeError, PreflightRequest, PreflightResponse, SearchRequest, TaskStatusRequest,","+ TaskStatusResponse, TermStats, WriteRequest, WriteResponse,"," };"," use miroir_core::topology::NodeId;"," use reqwest::Client;"]}],"userModified":false,"replaceAll":false}} +{"type":"system","subtype":"status","status":"requesting","uuid":"48f1212e-e901-405a-a97a-509ad6b9d8af","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} 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&self,\n96\t node: &miroir_core::topology::NodeId,\n97\t address: &str,\n98\t request: &SearchRequest,\n99\t ) -> std::result::Result {\n100\t let start = Instant::now();\n101\t let result = self.client.search_node(node, address, request).await;\n102\t let elapsed = start.elapsed().as_secs_f64();\n103\t self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n104\t if let Err(ref e) = result {\n105\t self.metrics.inc_node_errors(node.as_str(), error_label(e));\n106\t }\n107\t result\n108\t }\n109\t\n110\t async fn preflight_node(\n111\t &self,\n112\t node: &miroir_core::topology::NodeId,\n113\t address: &str,\n114\t request: &miroir_core::scatter::PreflightRequest,\n115\t ) -> std::result::Result {\n116\t let start = Instant::now();\n117\t let result = self.client.preflight_node(node, address, request).await;\n118\t let elapsed = start.elapsed().as_secs_f64();\n119\t self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n120\t if let Err(ref e) = result {\n121\t self.metrics.inc_node_errors(node.as_str(), error_label(e));\n122\t }\n123\t result\n124\t }\n125\t}\n126\t\n127\tfn error_label(e: &miroir_core::scatter::NodeError) -> &'static str {\n128\t match e {\n129\t miroir_core::scatter::NodeError::NetworkError(_) => \"network\",\n130\t miroir_core::scatter::NodeError::HttpError { .. } => \"http\",\n131\t miroir_core::scatter::NodeError::Timeout => \"timeout\",\n132\t }\n133\t}\n134\t\n135\t/// POST /multi-search — execute multiple searches in a single batch.\n136\t///\n137\t/// Plan §13.11: Reduces round-trips for search UIs that need results + facets\n138\t/// from multiple queries per page render. 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Each query runs in parallel.\n#[instrument(skip_all, fields(query_count = body.queries.len()))]\npub async fn multi_search(\n State(state): State,\n Json(body): Json,\n) -> Result, StatusCode>\nwhere\n S: Clone + Send + Sync + 'static,\n MultiSearchState: FromRef,\n{\n if !state.config.multi_search.enabled {\n return Err(StatusCode::NOT_IMPLEMENTED);\n }\n\n if body.queries.is_empty() {\n return Err(StatusCode::BAD_REQUEST);\n }\n\n if body.queries.len() > state.config.multi_search.max_queries_per_batch as usize {\n return Err(StatusCode::BAD_REQUEST);\n }\n\n let executor = MultiSearchExecutor::new(state.config.multi_search.clone());\n\n // Get topology and policy once for all queries\n let topology = state.topology.read().await;\n let policy = match state.config.scatter.unavailable_shard_policy.as_str() {\n \"partial\" => UnavailableShardPolicy::Partial,\n \"error\" => UnavailableShardPolicy::Error,\n \"fallback\" => UnavailableShardPolicy::Fallback,\n _ => return Err(StatusCode::INTERNAL_SERVER_ERROR),\n };\n\n // Create node client\n let http_client = Arc::new(crate::client::HttpClient::new(\n state.node_master_key.clone(),\n state.config.scatter.node_timeout_ms,\n ));\n let node_client = ProxyNodeClient::new(http_client, state.metrics.clone());\n let strategy = ScoreMergeStrategy::new();\n\n // Convert MultiSearchRequest to core MultiSearchRequest\n // Resolve aliases for each query (plan §13.7)\n let mut queries_with_resolutions = Vec::new();\n for mut q in body.queries {\n // Resolve alias to concrete index UID(s)\n let (effective_index, resolved_targets) = if state.config.aliases.enabled {","numLines":100,"startLine":85,"totalLines":366}}} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_022118c656864266bc2e9a4b","type":"tool_result","content":"40\timpl ProxyNodeClient {\n41\t pub fn new(client: Arc, metrics: crate::middleware::Metrics) -> Self {\n42\t Self { client, metrics }\n43\t }\n44\t}\n45\t\n46\t#[allow(async_fn_in_trait)]\n47\timpl NodeClient for ProxyNodeClient {\n48\t async fn search_node(\n49\t &self,\n50\t node: &miroir_core::topology::NodeId,\n51\t address: &str,\n52\t request: &SearchRequest,\n53\t ) -> std::result::Result {\n54\t let start = Instant::now();\n55\t let result = self.client.search_node(node, address, request).await;\n56\t let elapsed = start.elapsed().as_secs_f64();\n57\t self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n58\t if let Err(ref e) = result {\n59\t self.metrics.inc_node_errors(node.as_str(), error_label(e));\n60\t }\n61\t result\n62\t }\n63\t\n64\t async fn preflight_node(\n65\t &self,\n66\t node: &miroir_core::topology::NodeId,\n67\t address: &str,\n68\t request: &miroir_core::scatter::PreflightRequest,\n69\t ) -> std::result::Result {\n70\t let start = Instant::now();\n71\t let result = self.client.preflight_node(node, address, request).await;\n72\t let elapsed = start.elapsed().as_secs_f64();\n73\t self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n74\t if let Err(ref e) = result {\n75\t self.metrics.inc_node_errors(node.as_str(), error_label(e));\n76\t }\n77\t result\n78\t }\n79\t}\n80\t\n81\tfn error_label(e: &miroir_core::scatter::NodeError) -> &'static str {\n82\t match e {\n83\t miroir_core::scatter::NodeError::NetworkError(_) => \"network\",\n84\t miroir_core::scatter::NodeError::HttpError { .. } => \"http\",\n85\t miroir_core::scatter::NodeError::Timeout => \"timeout\",\n86\t }\n87\t}\n88\t\n89\tpub fn router() -> axum::Router\n90\twhere\n91\t S: Clone + Send + Sync + 'static,\n92\t{\n93\t axum::Router::new()\n94\t .route(\"/:index\", axum::routing::post(search_handler))\n95\t}\n96\t\n97\t/// Search request body.\n98\t#[derive(Deserialize)]\n99\tstruct SearchRequestBody {\n100\t q: Option,\n101\t offset: Option,\n102\t limit: Option,\n103\t filter: Option,\n104\t facets: Option>,\n105\t #[serde(rename = 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NodeClient for ProxyNodeClient {\n async fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.search_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n\n async fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.preflight_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n}\n\nfn error_label(e: &miroir_core::scatter::NodeError) -> &'static str {\n match e {\n miroir_core::scatter::NodeError::NetworkError(_) => \"network\",\n miroir_core::scatter::NodeError::HttpError { .. } => \"http\",\n miroir_core::scatter::NodeError::Timeout => \"timeout\",\n }\n}\n\npub fn router() -> axum::Router\nwhere\n S: Clone + Send + Sync + 'static,\n{\n axum::Router::new()\n .route(\"/:index\", axum::routing::post(search_handler))\n}\n\n/// Search request body.\n#[derive(Deserialize)]\nstruct SearchRequestBody {\n q: Option,\n offset: Option,\n limit: Option,\n filter: Option,\n facets: Option>,\n #[serde(rename = \"rankingScore\")]\n ranking_score: Option,\n #[serde(flatten)]\n rest: Value,\n}\n\nimpl std::fmt::Debug for SearchRequestBody {\n fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {\n f.debug_struct(\"SearchRequestBody\")\n .field(\"q\", &\"[redacted]\")\n 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multi_search.rs to use the new trait signature. They both only override `search_node` and `preflight_node` methods.","signature":""}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"c4f1d709-6942-494f-9599-ec55016ddbb6"} +{"type":"stream_event","event":{"type":"content_block_stop","index":0},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"c0462460-0333-40b9-ac01-ce8ffb0b810f"} +{"type":"stream_event","event":{"type":"content_block_start","index":1,"content_block":{"type":"text","text":""}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"944f3217-fea2-4b42-a7d1-f9aa6035968e"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"Let"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"0a9b2fac-ac33-4737-b7ca-696ba0ef507b"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" me"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"4b94e79e-d19a-4fa5-bce4-6d9583e2219e"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" update"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"1cb29424-2fc7-467d-bee9-b90c4b2d2c28"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" both"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"57b3df31-c550-4cfc-b40e-e38c0bb21b4d"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" `"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"b8b5e3e2-efb9-4ef5-a11b-1b831c8a23af"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"Proxy"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"0b4205a7-872a-4481-b30c-81f2892a5789"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"Node"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"cfa67b24-058b-4610-b82c-5ab17fc953a8"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"Client"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"c58310e4-fd27-4251-aea6-6a3fa84aeedb"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"`"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"a14d8222-fb96-4518-a9bb-c4696a3a74a4"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" implementations"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"75a4440f-46fc-461c-83c3-6fd54011fb7f"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":":"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"c7eeafb5-77ec-4c10-8836-1e06462c93aa"} +{"type":"assistant","message":{"id":"msg_202605232045293b47366dacdf43cf","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"text","text":"Let me update both `ProxyNodeClient` implementations:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"f372979b-9934-41c0-a2dd-9fbe0166b64e"} +{"type":"stream_event","event":{"type":"content_block_stop","index":1},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"e705fd02-d2fd-4438-b72f-2c592bf86a83"} +{"type":"stream_event","event":{"type":"content_block_start","index":2,"content_block":{"type":"tool_use","id":"call_379129e97f984655a709a6b7","name":"Edit","input":{}}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"5e36de9a-c2e6-4b00-a96a-cb312efdae1d"} +{"type":"stream_event","event":{"type":"content_block_delta","index":2,"delta":{"type":"input_json_delta","partial_json":"{\"replace_all\":false,\"file_path\":\"/home/coding/miroir/crates/miroir-proxy/src/routes/search.rs\",\"old_string\":\"#[allow(async_fn_in_trait)]\\nimpl NodeClient for ProxyNodeClient {\\n async fn search_node(\\n &self,\\n node: &miroir_core::topology::NodeId,\\n address: &str,\\n request: &SearchRequest,\\n ) -> std::result::Result {\\n let start = Instant::now();\\n let result = self.client.search_node(node, address, request).await;\\n let elapsed = start.elapsed().as_secs_f64();\\n self.metrics.record_node_request_duration(node.as_str(), \\\"search\\\", elapsed);\\n if let Err(ref e) = result {\\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\\n }\\n result\\n }\\n\\n async fn preflight_node(\\n &self,\\n node: &miroir_core::topology::NodeId,\\n address: &str,\\n request: &miroir_core::scatter::PreflightRequest,\\n ) -> std::result::Result {\\n let start = Instant::now();\\n let result = self.client.preflight_node(node, address, request).await;\\n let elapsed = start.elapsed().as_secs_f64();\\n self.metrics.record_node_request_duration(node.as_str(), \\\"preflight\\\", elapsed);\\n if let Err(ref e) = result {\\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\\n }\\n result\\n }\\n}\",\"new_string\":\"impl NodeClient for ProxyNodeClient {\\n fn search_node(\\n &self,\\n node: &miroir_core::topology::NodeId,\\n address: &str,\\n request: &SearchRequest,\\n ) -> impl std::future::Future> + Send {\\n let client = self.client.clone();\\n let metrics = self.metrics.clone();\\n let node = node.clone();\\n let address = address.to_string();\\n let request = request.clone();\\n\\n async move {\\n let start = Instant::now();\\n let result = client.search_node(&node, &address, &request).await;\\n let elapsed = start.elapsed().as_secs_f64();\\n metrics.record_node_request_duration(node.as_str(), \\\"search\\\", elapsed);\\n if let Err(ref e) = result {\\n metrics.inc_node_errors(node.as_str(), error_label(e));\\n }\\n result\\n }\\n }\\n\\n fn preflight_node(\\n &self,\\n node: &miroir_core::topology::NodeId,\\n address: &str,\\n request: &miroir_core::scatter::PreflightRequest,\\n ) -> impl std::future::Future> + Send {\\n let client = self.client.clone();\\n let metrics = self.metrics.clone();\\n let node = node.clone();\\n let address = address.to_string();\\n let request = request.clone();\\n\\n async move {\\n let start = Instant::now();\\n let result = client.preflight_node(&node, &address, &request).await;\\n let elapsed = start.elapsed().as_secs_f64();\\n metrics.record_node_request_duration(node.as_str(), \\\"preflight\\\", elapsed);\\n if let Err(ref e) = result {\\n metrics.inc_node_errors(node.as_str(), error_label(e));\\n }\\n result\\n }\\n }\\n}\"}"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"a0220ff8-a9ff-4845-a36a-ed7255209777"} +{"type":"assistant","message":{"id":"msg_202605232045293b47366dacdf43cf","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_379129e97f984655a709a6b7","name":"Edit","input":{"replace_all":false,"file_path":"/home/coding/miroir/crates/miroir-proxy/src/routes/search.rs","old_string":"#[allow(async_fn_in_trait)]\nimpl NodeClient for ProxyNodeClient {\n async fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.search_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n\n async fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.preflight_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n}","new_string":"impl NodeClient for ProxyNodeClient {\n fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send {\n let client = self.client.clone();\n let metrics = self.metrics.clone();\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n\n async move {\n let start = Instant::now();\n let result = client.search_node(&node, &address, &request).await;\n let elapsed = start.elapsed().as_secs_f64();\n metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n }\n\n fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> impl std::future::Future> + Send {\n let client = self.client.clone();\n let metrics = self.metrics.clone();\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n\n async move {\n let start = Instant::now();\n let result = client.preflight_node(&node, &address, &request).await;\n let elapsed = start.elapsed().as_secs_f64();\n metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n }\n}"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"be579161-7469-4d03-b4c8-70dd0f085a7e"} +{"type":"stream_event","event":{"type":"content_block_stop","index":2},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"f1a11eaa-7566-46cb-be11-d330d9b2e213"} +{"type":"stream_event","event":{"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":2207,"output_tokens":838,"cache_read_input_tokens":84800,"server_tool_use":{"web_search_requests":0},"service_tier":"standard"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"c440b4b2-581f-4dee-80b2-ee6e8f667eed"} +{"type":"stream_event","event":{"type":"message_stop"},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"1e421822-8c20-404c-9771-c2fab60a179f"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_379129e97f984655a709a6b7","type":"tool_result","content":"The file /home/coding/miroir/crates/miroir-proxy/src/routes/search.rs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"e6957a90-8376-4778-83bd-ddf94110eb0c","timestamp":"2026-05-23T12:45:41.870Z","tool_use_result":{"filePath":"/home/coding/miroir/crates/miroir-proxy/src/routes/search.rs","oldString":"#[allow(async_fn_in_trait)]\nimpl NodeClient for ProxyNodeClient {\n async fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.search_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n\n async fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.preflight_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n}","newString":"impl NodeClient for ProxyNodeClient {\n fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send {\n let client = self.client.clone();\n let metrics = self.metrics.clone();\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n\n async move {\n let start = Instant::now();\n let result = client.search_node(&node, &address, &request).await;\n let elapsed = start.elapsed().as_secs_f64();\n metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n }\n\n fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> impl std::future::Future> + Send {\n let client = self.client.clone();\n let metrics = self.metrics.clone();\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n\n async move {\n let start = Instant::now();\n let result = client.preflight_node(&node, &address, &request).await;\n let elapsed = start.elapsed().as_secs_f64();\n metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n }\n}","originalFile":"//! Search route handler with DFS (Distributed Frequency Search) support.\n\nuse axum::extract::{Extension, Path};\nuse axum::http::{HeaderMap, StatusCode};\nuse axum::response::Response;\nuse axum::Json;\nuse miroir_core::api_error::{MeilisearchError, MiroirCode};\nuse miroir_core::config::UnavailableShardPolicy;\nuse miroir_core::merger::ScoreMergeStrategy;\nuse miroir_core::scatter::{\n dfs_query_then_fetch_search, plan_search_scatter, plan_search_scatter_for_group, plan_search_scatter_with_version_floor, SearchRequest, NodeClient,\n};\nuse miroir_core::session_pinning::WaitStrategy;\nuse serde::Deserialize;\nuse serde_json::Value;\nuse std::sync::Arc;\nuse std::time::Instant;\nuse tracing::{debug, error, info, info_span, instrument, warn};\n\nuse crate::middleware::SessionId;\nuse crate::routes::admin_endpoints::{AppState, parse_rate_limit};\n\n/// Hash a value for logging (obfuscates sensitive data like IPs).\nfn hash_for_log(value: &str) -> String {\n use std::hash::{Hash, Hasher};\n let mut hasher = std::collections::hash_map::DefaultHasher::new();\n value.hash(&mut hasher);\n format!(\"{:016x}\", hasher.finish())\n}\n\n/// Node client implementation using the HTTP client.\n///\n/// Wraps each node call with Prometheus metrics recording for\n/// `miroir_node_request_duration_seconds` and `miroir_node_errors_total`.\npub struct ProxyNodeClient {\n client: Arc,\n metrics: crate::middleware::Metrics,\n}\n\nimpl ProxyNodeClient {\n pub fn new(client: Arc, metrics: crate::middleware::Metrics) -> Self {\n Self { client, metrics }\n }\n}\n\n#[allow(async_fn_in_trait)]\nimpl NodeClient for ProxyNodeClient {\n async fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.search_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n\n async fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.preflight_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n}\n\nfn error_label(e: &miroir_core::scatter::NodeError) -> &'static str {\n match e {\n miroir_core::scatter::NodeError::NetworkError(_) => \"network\",\n miroir_core::scatter::NodeError::HttpError { .. } => \"http\",\n miroir_core::scatter::NodeError::Timeout => \"timeout\",\n }\n}\n\npub fn router() -> axum::Router\nwhere\n S: Clone + Send + Sync + 'static,\n{\n axum::Router::new()\n .route(\"/:index\", axum::routing::post(search_handler))\n}\n\n/// Search request body.\n#[derive(Deserialize)]\nstruct SearchRequestBody {\n q: Option,\n offset: Option,\n limit: Option,\n filter: Option,\n facets: Option>,\n #[serde(rename = \"rankingScore\")]\n ranking_score: Option,\n #[serde(flatten)]\n rest: Value,\n}\n\nimpl std::fmt::Debug for SearchRequestBody {\n fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {\n f.debug_struct(\"SearchRequestBody\")\n .field(\"q\", &\"[redacted]\")\n .field(\"offset\", &self.offset)\n .field(\"limit\", &self.limit)\n .field(\"filter\", &\"[redacted]\")\n .field(\"facets\", &self.facets)\n .field(\"ranking_score\", &self.ranking_score)\n .finish_non_exhaustive()\n }\n}\n\n/// Search handler with DFS global-IDF preflight (OP#4).\n///\n/// This handler implements the `dfs_query_then_fetch` pattern:\n/// 1. **Preflight phase**: Send term-frequency query to all shards, aggregate\n/// global document frequencies at the coordinator.\n/// 2. **Search phase**: Send the search query with global IDF attached so that\n/// scoring uses corpus-wide statistics instead of per-shard local IDF.\n///\n/// Returns `X-Miroir-Degraded: shards=X,Y,Z` header when any shards are unavailable.\n/// Strips `_miroir_shard` from all hits; strips `_rankingScore` unless client\n/// explicitly requested it.\n///\n/// Session pinning (plan §13.6): If `X-Miroir-Session` header is present and\n/// the session has a pending write, routes to the pinned group for read-your-writes.\n#[instrument(skip_all, fields(index = %index))]\nasync fn search_handler(\n Path(index): Path,\n Extension(state): Extension>,\n headers: HeaderMap,\n session_id: Option>,\n Json(body): Json,\n) -> Result {\n let start = Instant::now();\n let client_requested_score = body.ranking_score.unwrap_or(false);\n\n // Extract session ID from request extensions (set by session_pinning_middleware)\n let sid = session_id.and_then(|ext| {\n let s = ext.0;\n if s.0.is_empty() { None } else { Some(s.0.clone()) }\n });\n\n // Extract source IP from X-Forwarded-For or X-Real-IP (trust proxy)\n let source_ip = headers\n .get(\"x-forwarded-for\")\n .and_then(|v| v.to_str().ok())\n .and_then(|s| s.split(',').next())\n .or_else(|| headers.get(\"x-real-ip\").and_then(|v| v.to_str().ok()))\n .unwrap_or(\"unknown\")\n .trim()\n .to_string();\n\n // Check rate limit for search UI (plan §4)\n let (limit, window_seconds) = match parse_rate_limit(&state.config.search_ui.rate_limit.per_ip) {\n Ok(parsed) => parsed,\n Err(e) => {\n warn!(error = %e, \"invalid search_ui.rate_limit.per_ip config, using default\");\n (60, 60) // Default: 60 requests per minute\n }\n };\n\n let backend = state.config.search_ui.rate_limit.backend.as_str();\n if backend == \"redis\" {\n if let Some(ref redis) = state.redis_store {\n match redis.check_rate_limit_search_ui(&source_ip, limit, window_seconds) {\n Ok((allowed, _wait_seconds)) => {\n if !allowed {\n warn!(\n source_ip_hash = hash_for_log(&source_ip),\n \"search UI rate limited (redis)\"\n );\n return Err(StatusCode::TOO_MANY_REQUESTS);\n }\n // Allowed, proceed\n }\n Err(e) => {\n warn!(error = %e, \"failed to check search UI rate limit\");\n // Continue anyway on error (fail-open)\n }\n }\n }\n } else if backend == \"local\" {\n let (allowed, _wait_seconds) = state.local_search_ui_rate_limiter.check(\n &source_ip,\n limit,\n window_seconds * 1000,\n );\n if !allowed {\n warn!(\n source_ip_hash = hash_for_log(&source_ip),\n \"search UI rate limited (local backend)\"\n );\n return Err(StatusCode::TOO_MANY_REQUESTS);\n }\n }\n\n // Resolve alias to concrete index UID (plan §13.7)\n // Aliases are resolved at routing time; resolved index is used for scatter planning\n let (effective_index, resolved_targets) = if state.config.aliases.enabled {\n let targets = state.alias_registry.resolve(&index).await;\n state.metrics.inc_alias_resolution(&index);\n if targets != vec![index.clone()] {\n // It's an alias\n (index.clone(), targets)\n } else {\n // Not an alias - use index directly\n (index.clone(), vec![index.clone()])\n }\n } else {\n // Aliases disabled - use index directly\n (index.clone(), vec![index.clone()])\n };\n\n // Session pinning logic (plan §13.6): Check if session has pending write\n let (pinned_group, strategy_label) = if let Some(ref sid) = sid {\n if let Some(group) = state.session_manager.get_pinned_group(sid).await {\n // Session has a pending write - apply wait strategy\n let strategy = state.session_manager.wait_strategy();\n match strategy {\n WaitStrategy::Block => {\n // Block until write completes or timeout\n let max_wait = state.session_manager.max_wait_duration();\n let wait_start = std::time::Instant::now();\n match state.session_manager.wait_for_write_completion(\n sid,\n &state.task_registry,\n max_wait,\n ).await {\n Ok(true) => {\n // Write succeeded, clear pin and use normal routing\n let wait_duration = wait_start.elapsed().as_secs_f64();\n state.metrics.observe_session_wait_duration(wait_duration);\n state.metrics.inc_session_pin_enforced(\"block\");\n (None, Some(\"block_success\"))\n }\n Ok(false) => {\n // Write failed, clear pin\n let wait_duration = wait_start.elapsed().as_secs_f64();\n state.metrics.observe_session_wait_duration(wait_duration);\n state.metrics.inc_session_wait_timeout(\"block\");\n (None, Some(\"block_failed\"))\n }\n Err(_) => {\n // Timeout - still route to pinned group (best effort)\n let wait_duration = wait_start.elapsed().as_secs_f64();\n state.metrics.observe_session_wait_duration(wait_duration);\n state.metrics.inc_session_wait_timeout(\"block\");\n (Some(group), Some(\"block_timeout\"))\n }\n }\n }\n WaitStrategy::RoutePin => {\n // Route to pinned group without waiting\n state.metrics.inc_session_pin_enforced(\"route_pin\");\n (Some(group), Some(\"route_pin\"))\n }\n }\n } else {\n // No pending write - normal routing\n (None, None)\n }\n } else {\n // No session header - normal routing\n (None, None)\n };\n\n // Log session pinning decision for observability\n if let Some(label) = strategy_label {\n debug!(\n session_id = ?sid,\n pinned_group = pinned_group,\n strategy = label,\n \"session pinning applied\"\n );\n }\n\n // Handle multi-target alias fanout (plan §13.7, §13.11, §13.17)\n // Multi-target aliases (ILM read_alias) require fanning out to all targets\n // and merging results by _rankingScore\n if resolved_targets.len() > 1 {\n return search_multi_targets(\n resolved_targets,\n body,\n state,\n headers,\n sid,\n client_requested_score,\n ).await;\n }\n\n // Get the scoped key for this index (plan §13.21).\n // If a scoped key exists, use primary_key (or previous_key during rotation overlap).\n // If no scoped key exists yet, fall back to node_master_key for initial setup.\n let search_key = if let Some(ref redis) = state.redis_store {\n if let Ok(Some(sk)) = redis.get_search_ui_scoped_key(&effective_index) {\n // Refresh scoped-key beacon so the rotation leader knows this pod is serving\n // requests for this index at the current generation (plan §13.21).\n let _ = redis.observe_search_ui_scoped_key(\n &state.pod_id,\n &index,\n sk.generation,\n );\n\n // Use primary_key; previous_key is the overlap fallback (both are valid in Meilisearch)\n sk.primary_key\n } else {\n // No scoped key yet — fall back to node_master_key for initial setup\n state.config.node_master_key.clone()\n }\n } else {\n // No Redis store — fall back to node_master_key (single-pod dev mode)\n state.config.node_master_key.clone()\n };\n\n // Extract X-Miroir-Min-Settings-Version header (plan §13.5)\n let min_settings_version = headers\n .get(\"X-Miroir-Min-Settings-Version\")\n .and_then(|v| v.to_str().ok())\n .and_then(|s| s.parse::().ok());\n\n // Use live topology from shared state (updated by health checker)\n let topo = state.topology.read().await;\n let policy = match state.config.scatter.unavailable_shard_policy.as_str() {\n \"partial\" => UnavailableShardPolicy::Partial,\n \"error\" => UnavailableShardPolicy::Error,\n \"fallback\" => UnavailableShardPolicy::Fallback,\n _ => return Err(StatusCode::INTERNAL_SERVER_ERROR),\n };\n\n // Plan scatter using live topology (span for plan construction)\n let plan = {\n let _plan_span = tracing::info_span!(\n \"scatter_plan\",\n replica_groups = state.config.replica_groups,\n shards = state.config.shards,\n rf = state.config.replication_factor,\n min_settings_version,\n pinned_group = ?pinned_group,\n ).entered();\n\n // Session pinning: if pinned_group is set, use group-specific planning\n if let Some(group) = pinned_group {\n match plan_search_scatter_for_group(\n &topo,\n 0,\n state.config.replication_factor as usize,\n state.config.shards,\n group,\n ) {\n Some(p) => p,\n None => {\n // Pinned group not available - fall back to normal planning\n // This can happen if the pinned group has failed\n warn!(\n pinned_group = group,\n \"pinned group unavailable, falling back to normal routing\"\n );\n plan_search_scatter(&topo, 0, state.config.replication_factor as usize, state.config.shards)\n }\n }\n } else if let Some(floor) = min_settings_version {\n // If client provided a min settings version floor, use version-filtered planning\n // Clone the settings broadcast for version checking\n let settings_broadcast = state.settings_broadcast.clone();\n let plan_result = plan_search_scatter_with_version_floor(\n &topo,\n 0,\n state.config.replication_factor as usize,\n state.config.shards,\n &index,\n floor,\n &move |idx, node_id| {\n // Use a blocking task wrapper since we're in a sync context\n let sb = settings_broadcast.clone();\n let idx = idx.to_string();\n let node_id = node_id.to_string();\n tokio::task::block_in_place(|| {\n tokio::runtime::Handle::current().block_on(async {\n sb.node_version(&idx, &node_id).await\n })\n })\n },\n );\n\n match plan_result {\n Some(p) => p,\n None => {\n // No covering set could be assembled after filtering by version floor\n let err = MeilisearchError::new(\n MiroirCode::SettingsVersionStale,\n format!(\n \"no covering set available for settings version floor {} on index '{}'\",\n floor, index\n ),\n );\n return Err(StatusCode::SERVICE_UNAVAILABLE);\n }\n }\n } else {\n // No version floor requested, use normal planning\n plan_search_scatter(&topo, 0, state.config.replication_factor as usize, state.config.shards)\n }\n };\n let node_count = plan.shard_to_node.len() as u64;\n\n // Record scatter fan-out size before executing\n state.metrics.record_scatter_fan_out(node_count);\n\n // Build search request\n let search_req = SearchRequest {\n index_uid: effective_index.clone(),\n query: body.q,\n offset: body.offset.unwrap_or(0),\n limit: body.limit.unwrap_or(20),\n filter: body.filter,\n facets: body.facets,\n ranking_score: client_requested_score,\n body: body.rest,\n global_idf: None,\n };\n\n // Create node client with the scoped key (or node_master_key as fallback)\n let http_client = Arc::new(crate::client::HttpClient::new(\n search_key,\n state.config.scatter.node_timeout_ms,\n ));\n let client = ProxyNodeClient::new(http_client, state.metrics.clone());\n\n // Use score-based merge strategy (OP#4: requires global IDF)\n let strategy = ScoreMergeStrategy::new();\n\n // Execute DFS query-then-fetch\n let mut result = dfs_query_then_fetch_search(\n plan,\n &client,\n search_req,\n &topo,\n policy,\n &strategy,\n )\n .await\n .map_err(|e| {\n tracing::error!(error = %e, \"search failed\");\n StatusCode::INTERNAL_SERVER_ERROR\n })?;\n\n // Drop topology lock before building response\n drop(topo);\n\n // Strip internal fields from hits\n for hit in &mut result.hits {\n strip_internal_fields(hit, client_requested_score);\n }\n\n // Build response body\n let mut body = serde_json::json!({\n \"hits\": result.hits,\n \"estimatedTotalHits\": result.estimated_total_hits,\n \"processingTimeMs\": result.processing_time_ms,\n });\n\n // Only include facetDistribution if facets were requested\n if let Some(facets) = &result.facet_distribution {\n body[\"facetDistribution\"] = serde_json::to_value(facets).unwrap_or(Value::Null);\n }\n\n // Build response with optional headers\n let mut response = Response::builder()\n .status(StatusCode::OK)\n .header(\"content-type\", \"application/json\");\n\n // Add X-Miroir-Settings-Inconsistent header if a broadcast is in flight (plan §13.5)\n if state.settings_broadcast.is_in_flight(&effective_index).await {\n response = response.header(\"X-Miroir-Settings-Inconsistent\", \"true\");\n }\n\n // Add X-Miroir-Settings-Version header if we have a version for this index\n let current_version = state.settings_broadcast.current_version().await;\n if current_version > 0 {\n response = response.header(\"X-Miroir-Settings-Version\", current_version.to_string());\n }\n\n if result.degraded {\n state.metrics.inc_scatter_partial_responses();\n }\n\n if result.degraded && !result.failed_shards.is_empty() {\n let mut sorted_shards = result.failed_shards.clone();\n sorted_shards.sort();\n let shard_ids = sorted_shards.iter()\n .map(|id| id.to_string())\n .collect::>()\n .join(\",\");\n response = response.header(\"X-Miroir-Degraded\", format!(\"shards={}\", shard_ids));\n } else if result.degraded {\n response = response.header(\"X-Miroir-Degraded\", \"partial\");\n }\n\n let response = response\n .body(axum::body::Body::from(serde_json::to_string(&body).unwrap()))\n .unwrap();\n\n // Structured log entry (plan §10 shape)\n // request_id and pod_id are included from the middleware span via\n // .with_current_span(true) on the JSON subscriber layer.\n tracing::info!(\n target: \"miroir.search\",\n index = %effective_index,\n duration_ms = start.elapsed().as_millis() as u64,\n node_count = node_count,\n estimated_hits = result.estimated_total_hits,\n degraded = result.degraded,\n \"search completed\"\n );\n\n Ok(response)\n}\n\n/// Search multiple target indexes (for multi-target aliases, plan §13.7, §13.11, §13.17).\n///\n/// Fans out the search to all target indexes and merges results by _rankingScore.\n/// Used by ILM read_alias queries.\nasync fn search_multi_targets(\n targets: Vec,\n body: SearchRequestBody,\n state: Arc,\n headers: HeaderMap,\n session_id: Option,\n client_requested_score: bool,\n) -> Result {\n let start = Instant::now();\n\n // Extract session ID if provided\n let sid = session_id;\n\n // Extract source IP from X-Forwarded-For or X-Real-IP (trust proxy)\n let source_ip = headers\n .get(\"x-forwarded-for\")\n .and_then(|v| v.to_str().ok())\n .and_then(|s| s.split(',').next())\n .or_else(|| headers.get(\"x-real-ip\").and_then(|v| v.to_str().ok()))\n .unwrap_or(\"unknown\")\n .trim()\n .to_string();\n\n // Check rate limit for search UI (plan §4)\n let (limit, window_seconds) = match parse_rate_limit(&state.config.search_ui.rate_limit.per_ip) {\n Ok(parsed) => parsed,\n Err(e) => {\n warn!(error = %e, \"invalid search_ui.rate_limit.per_ip config, using default\");\n (60, 60) // Default: 60 requests per minute\n }\n };\n\n let backend = state.config.search_ui.rate_limit.backend.as_str();\n if backend == \"redis\" {\n if let Some(ref redis) = state.redis_store {\n match redis.check_rate_limit_search_ui(&source_ip, limit, window_seconds) {\n Ok((allowed, _wait_seconds)) => {\n if !allowed {\n warn!(\n source_ip_hash = hash_for_log(&source_ip),\n \"search UI rate limited (redis)\"\n );\n return Err(StatusCode::TOO_MANY_REQUESTS);\n }\n // Allowed, proceed\n }\n Err(e) => {\n warn!(error = %e, \"failed to check search UI rate limit\");\n // Continue anyway on error (fail-open)\n }\n }\n }\n } else if backend == \"local\" {\n let (allowed, _wait_seconds) = state.local_search_ui_rate_limiter.check(\n &source_ip,\n limit,\n window_seconds * 1000,\n );\n if !allowed {\n warn!(\n source_ip_hash = hash_for_log(&source_ip),\n \"search UI rate limited (local backend)\"\n );\n return Err(StatusCode::TOO_MANY_REQUESTS);\n }\n }\n\n // Session pinning logic (plan §13.6): Check if session has pending write\n let (pinned_group, _strategy_label) = if let Some(ref sid) = sid {\n if let Some(group) = state.session_manager.get_pinned_group(sid).await {\n // Session has a pending write - apply wait strategy\n let strategy = state.session_manager.wait_strategy();\n match strategy {\n WaitStrategy::Block => {\n // Block until write completes or timeout\n let max_wait = state.session_manager.max_wait_duration();\n let wait_start = std::time::Instant::now();\n match state.session_manager.wait_for_write_completion(\n sid,\n &state.task_registry,\n max_wait,\n ).await {\n Ok(true) => {\n // Write succeeded, clear pin and use normal routing\n let wait_duration = wait_start.elapsed().as_secs_f64();\n state.metrics.observe_session_wait_duration(wait_duration);\n state.metrics.inc_session_pin_enforced(\"block\");\n (None::, None::)\n }\n Ok(false) => {\n // Write failed, clear pin\n let wait_duration = wait_start.elapsed().as_secs_f64();\n state.metrics.observe_session_wait_duration(wait_duration);\n state.metrics.inc_session_wait_timeout(\"block\");\n (None::, None::)\n }\n Err(_) => {\n // Timeout - route to pinned group (best effort)\n let wait_duration = wait_start.elapsed().as_secs_f64();\n state.metrics.observe_session_wait_duration(wait_duration);\n state.metrics.inc_session_wait_timeout(\"block\");\n (Some(group), None::)\n }\n }\n }\n WaitStrategy::RoutePin => {\n // Route to pinned group without waiting\n state.metrics.inc_session_pin_enforced(\"route_pin\");\n (Some(group), None::)\n }\n }\n } else {\n // No pending write - normal routing\n (None::, None::)\n }\n } else {\n // No session header - normal routing\n (None::, None::)\n };\n\n // For multi-target aliases, we use the first target for settings/scoped key\n // All targets should have compatible settings (managed by ILM)\n let primary_target = targets.first().ok_or_else(|| {\n error!(\"multi-target alias has no targets\");\n StatusCode::INTERNAL_SERVER_ERROR\n })?;\n\n // Get the scoped key for the primary target\n let search_key = if let Some(ref redis) = state.redis_store {\n if let Ok(Some(sk)) = redis.get_search_ui_scoped_key(primary_target) {\n // Refresh scoped-key beacon\n let _ = redis.observe_search_ui_scoped_key(\n &state.pod_id,\n primary_target,\n sk.generation,\n );\n sk.primary_key\n } else {\n state.config.node_master_key.clone()\n }\n } else {\n state.config.node_master_key.clone()\n };\n\n // Extract X-Miroir-Min-Settings-Version header\n let min_settings_version = headers\n .get(\"X-Miroir-Min-Settings-Version\")\n .and_then(|v| v.to_str().ok())\n .and_then(|s| s.parse::().ok());\n\n // Use live topology from shared state\n let topo = state.topology.read().await;\n let policy = match state.config.scatter.unavailable_shard_policy.as_str() {\n \"partial\" => UnavailableShardPolicy::Partial,\n \"error\" => UnavailableShardPolicy::Error,\n \"fallback\" => UnavailableShardPolicy::Fallback,\n _ => return Err(StatusCode::INTERNAL_SERVER_ERROR),\n };\n\n // Plan scatter for primary target (for ILM read aliases, all targets\n // should have identical shard layout)\n let plan = {\n let _plan_span = tracing::info_span!(\n \"scatter_plan_multi_target\",\n primary_target = %primary_target,\n replica_groups = state.config.replica_groups,\n shards = state.config.shards,\n rf = state.config.replication_factor,\n min_settings_version,\n pinned_group = ?pinned_group,\n target_count = targets.len(),\n ).entered();\n\n if let Some(group) = pinned_group {\n match plan_search_scatter_for_group(\n &topo,\n 0,\n state.config.replication_factor as usize,\n state.config.shards,\n group,\n ) {\n Some(p) => p,\n None => {\n warn!(\n pinned_group = group,\n \"pinned group unavailable, falling back to normal routing\"\n );\n plan_search_scatter(&topo, 0, state.config.replication_factor as usize, state.config.shards)\n }\n }\n } else if let Some(floor) = min_settings_version {\n let settings_broadcast = state.settings_broadcast.clone();\n let plan_result = plan_search_scatter_with_version_floor(\n &topo,\n 0,\n state.config.replication_factor as usize,\n state.config.shards,\n primary_target,\n floor,\n &move |idx, node_id| {\n let sb = settings_broadcast.clone();\n let idx = idx.to_string();\n let node_id = node_id.to_string();\n tokio::task::block_in_place(|| {\n tokio::runtime::Handle::current().block_on(async {\n sb.node_version(&idx, &node_id).await\n })\n })\n },\n );\n\n match plan_result {\n Some(p) => p,\n None => {\n let err = MeilisearchError::new(\n MiroirCode::SettingsVersionStale,\n format!(\n \"no covering set available for settings version floor {} on index '{}'\",\n floor, primary_target\n ),\n );\n return Err(StatusCode::SERVICE_UNAVAILABLE);\n }\n }\n } else {\n plan_search_scatter(&topo, 0, state.config.replication_factor as usize, state.config.shards)\n }\n };\n let node_count = plan.shard_to_node.len() as u64;\n\n // Record scatter fan-out size\n state.metrics.record_scatter_fan_out(node_count);\n\n // Build search request for primary target\n let search_req = SearchRequest {\n index_uid: primary_target.to_string(),\n query: body.q.clone(),\n offset: body.offset.unwrap_or(0),\n limit: body.limit.unwrap_or(20),\n filter: body.filter.clone(),\n facets: body.facets.clone(),\n ranking_score: client_requested_score,\n body: body.rest.clone(),\n global_idf: None,\n };\n\n // Create node client\n let http_client = Arc::new(crate::client::HttpClient::new(\n search_key,\n state.config.scatter.node_timeout_ms,\n ));\n let client = ProxyNodeClient::new(http_client, state.metrics.clone());\n\n // Use score-based merge strategy\n let strategy = ScoreMergeStrategy::new();\n\n // Execute search\n let mut result = dfs_query_then_fetch_search(\n plan,\n &client,\n search_req,\n &topo,\n policy,\n &strategy,\n )\n .await\n .map_err(|e| {\n tracing::error!(error = %e, \"multi-target search failed\");\n StatusCode::INTERNAL_SERVER_ERROR\n })?;\n\n // Drop topology lock before building response\n drop(topo);\n\n // Strip internal fields from hits\n for hit in &mut result.hits {\n strip_internal_fields(hit, client_requested_score);\n }\n\n // Build response body\n let mut response_body = serde_json::json!({\n \"hits\": result.hits,\n \"estimatedTotalHits\": result.estimated_total_hits,\n \"processingTimeMs\": result.processing_time_ms,\n });\n\n // Only include facetDistribution if facets were requested\n if let Some(facets) = &result.facet_distribution {\n response_body[\"facetDistribution\"] = serde_json::to_value(facets).unwrap_or(Value::Null);\n }\n\n // Build response with optional headers\n let mut response = Response::builder()\n .status(StatusCode::OK)\n .header(\"content-type\", \"application/json\");\n\n // Add settings headers\n if state.settings_broadcast.is_in_flight(primary_target).await {\n response = response.header(\"X-Miroir-Settings-Inconsistent\", \"true\");\n }\n\n let current_version = state.settings_broadcast.current_version().await;\n if current_version > 0 {\n response = response.header(\"X-Miroir-Settings-Version\", current_version.to_string());\n }\n\n if result.degraded {\n state.metrics.inc_scatter_partial_responses();\n }\n\n if result.degraded && !result.failed_shards.is_empty() {\n let mut sorted_shards = result.failed_shards.clone();\n sorted_shards.sort();\n let shard_ids = sorted_shards.iter()\n .map(|id| id.to_string())\n .collect::>()\n .join(\",\");\n response = response.header(\"X-Miroir-Degraded\", format!(\"shards={}\", shard_ids));\n } else if result.degraded {\n response = response.header(\"X-Miroir-Degraded\", \"partial\");\n }\n\n let response = response\n .body(axum::body::Body::from(serde_json::to_string(&response_body).unwrap()))\n .unwrap();\n\n // Structured log entry\n tracing::info!(\n target: \"miroir.search_multi_target\",\n primary_target = %primary_target,\n target_count = targets.len(),\n duration_ms = start.elapsed().as_millis() as u64,\n node_count = node_count,\n estimated_hits = result.estimated_total_hits,\n degraded = result.degraded,\n \"multi-target search completed\"\n );\n\n Ok(response)\n}\n\n/// Strip `_miroir_shard` from all hits (always).\n/// Strip `_rankingScore` unless the client explicitly requested it.\npub fn strip_internal_fields(hit: &mut Value, client_requested_score: bool) {\n if let Some(obj) = hit.as_object_mut() {\n obj.remove(\"_miroir_shard\");\n if !client_requested_score {\n obj.remove(\"_rankingScore\");\n }\n }\n}\n\n#[cfg(test)]\nmod tests {\n use super::*;\n\n #[test]\n fn test_search_request_debug_redaction() {\n let body = SearchRequestBody {\n q: Some(\"sensitive user query about private data\".to_string()),\n offset: Some(0),\n limit: Some(20),\n filter: Some(serde_json::json!({\"email\": \"user@example.com\"})),\n facets: Some(vec![\"category\".to_string()]),\n ranking_score: Some(false),\n rest: serde_json::json!({}),\n };\n let debug_output = format!(\"{:?}\", body);\n\n assert!(\n !debug_output.contains(\"sensitive\"),\n \"Debug output should not contain raw query text\"\n );\n assert!(\n !debug_output.contains(\"user@example.com\"),\n \"Debug output should not contain filter values\"\n );\n assert!(\n debug_output.contains(\"[redacted]\"),\n \"Debug output should show [redacted] for sensitive fields\"\n );\n }\n}\n","structuredPatch":[{"oldStart":43,"oldLines":38,"newStart":43,"newLines":53,"lines":[" }"," }"," ","-#[allow(async_fn_in_trait)]"," impl NodeClient for ProxyNodeClient {","- async fn search_node(","+ fn search_node("," &self,"," node: &miroir_core::topology::NodeId,"," address: &str,"," request: &SearchRequest,","- ) -> std::result::Result {","- let start = Instant::now();","- let result = self.client.search_node(node, address, request).await;","- let elapsed = start.elapsed().as_secs_f64();","- self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);","- if let Err(ref e) = result {","- self.metrics.inc_node_errors(node.as_str(), error_label(e));","+ ) -> impl std::future::Future> + Send {","+ let client = self.client.clone();","+ let metrics = self.metrics.clone();","+ let node = node.clone();","+ let address = address.to_string();","+ let request = request.clone();","+","+ async move {","+ let start = Instant::now();","+ let result = client.search_node(&node, &address, &request).await;","+ let elapsed = start.elapsed().as_secs_f64();","+ metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);","+ if let Err(ref e) = result {","+ metrics.inc_node_errors(node.as_str(), error_label(e));","+ }","+ result"," }","- result"," }"," ","- async fn preflight_node(","+ fn preflight_node("," &self,"," node: &miroir_core::topology::NodeId,"," address: &str,"," request: &miroir_core::scatter::PreflightRequest,","- ) -> std::result::Result {","- let start = Instant::now();","- let result = self.client.preflight_node(node, address, request).await;","- let elapsed = start.elapsed().as_secs_f64();","- self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);","- if let Err(ref e) = result {","- self.metrics.inc_node_errors(node.as_str(), error_label(e));","+ ) -> impl std::future::Future> + Send {","+ let client = self.client.clone();","+ let metrics = self.metrics.clone();","+ let node = node.clone();","+ let address = address.to_string();","+ let request = request.clone();","+","+ async move {","+ let start = Instant::now();","+ let result = client.preflight_node(&node, &address, &request).await;","+ let elapsed = start.elapsed().as_secs_f64();","+ metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);","+ if let Err(ref e) = result {","+ metrics.inc_node_errors(node.as_str(), error_label(e));","+ }","+ result"," }","- result"," }"," }"," "]}],"userModified":false,"replaceAll":false}} 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elapsed);\\n if let Err(ref e) = result {\\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\\n }\\n result\\n }\\n\\n async fn preflight_node(\\n &self,\\n node: &miroir_core::topology::NodeId,\\n address: &str,\\n request: &miroir_core::scatter::PreflightRequest,\\n ) -> std::result::Result {\\n let start = Instant::now();\\n let result = self.client.preflight_node(node, address, request).await;\\n let elapsed = start.elapsed().as_secs_f64();\\n self.metrics.record_node_request_duration(node.as_str(), \\\"preflight\\\", elapsed);\\n if let Err(ref e) = result {\\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\\n }\\n result\\n }\\n}\",\"new_string\":\"impl NodeClient for ProxyNodeClient {\\n fn search_node(\\n &self,\\n node: &miroir_core::topology::NodeId,\\n address: &str,\\n request: &SearchRequest,\\n ) -> impl std::future::Future> + Send {\\n let client = self.client.clone();\\n let metrics = self.metrics.clone();\\n let node = node.clone();\\n let address = address.to_string();\\n let request = request.clone();\\n\\n async move {\\n let start = Instant::now();\\n let result = client.search_node(&node, &address, &request).await;\\n let elapsed = start.elapsed().as_secs_f64();\\n metrics.record_node_request_duration(node.as_str(), \\\"search\\\", elapsed);\\n if let Err(ref e) = result {\\n metrics.inc_node_errors(node.as_str(), error_label(e));\\n }\\n result\\n }\\n }\\n\\n fn preflight_node(\\n &self,\\n node: &miroir_core::topology::NodeId,\\n address: &str,\\n request: &miroir_core::scatter::PreflightRequest,\\n ) -> impl std::future::Future> + Send {\\n let client = self.client.clone();\\n let metrics = self.metrics.clone();\\n let node = node.clone();\\n let address = address.to_string();\\n let request = request.clone();\\n\\n async move {\\n let start = Instant::now();\\n let result = client.preflight_node(&node, &address, &request).await;\\n let elapsed = start.elapsed().as_secs_f64();\\n metrics.record_node_request_duration(node.as_str(), \\\"preflight\\\", elapsed);\\n if let Err(ref e) = result {\\n metrics.inc_node_errors(node.as_str(), error_label(e));\\n }\\n result\\n }\\n }\\n}\"}"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"96c3a09a-ed6a-438c-9f84-ce2febf894b2"} +{"type":"assistant","message":{"id":"msg_202605232045438eab82e54e444c7d","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_fbbc5fce38774f26a2215906","name":"Edit","input":{"replace_all":false,"file_path":"/home/coding/miroir/crates/miroir-proxy/src/routes/multi_search.rs","old_string":"#[allow(async_fn_in_trait)]\nimpl NodeClient for ProxyNodeClient {\n async fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.search_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n\n async fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.preflight_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n}","new_string":"impl NodeClient for ProxyNodeClient {\n fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send {\n let client = self.client.clone();\n let metrics = self.metrics.clone();\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n\n async move {\n let start = Instant::now();\n let result = client.search_node(&node, &address, &request).await;\n let elapsed = start.elapsed().as_secs_f64();\n metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n }\n\n fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> impl std::future::Future> + Send {\n let client = self.client.clone();\n let metrics = self.metrics.clone();\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n\n async move {\n let start = Instant::now();\n let result = client.preflight_node(&node, &address, &request).await;\n let elapsed = start.elapsed().as_secs_f64();\n metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n }\n}"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"bb53f58a-9706-4f54-afa1-1bfc670e961a"} +{"type":"stream_event","event":{"type":"content_block_stop","index":1},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"77622d0c-ed57-48b3-a324-bcc410b80b17"} +{"type":"stream_event","event":{"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":1007,"output_tokens":799,"cache_read_input_tokens":86976,"server_tool_use":{"web_search_requests":0},"service_tier":"standard"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"71da3a49-8153-47b1-9af5-beb6ffa04302"} +{"type":"stream_event","event":{"type":"message_stop"},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"0593c20c-6cdc-4fe9-a493-04794c4cfc42"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_fbbc5fce38774f26a2215906","type":"tool_result","content":"The file /home/coding/miroir/crates/miroir-proxy/src/routes/multi_search.rs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"f0739a9a-8aaf-4a22-baaa-e3d1edc4090a","timestamp":"2026-05-23T12:45:52.861Z","tool_use_result":{"filePath":"/home/coding/miroir/crates/miroir-proxy/src/routes/multi_search.rs","oldString":"#[allow(async_fn_in_trait)]\nimpl NodeClient for ProxyNodeClient {\n async fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.search_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n\n async fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.preflight_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n}","newString":"impl NodeClient for ProxyNodeClient {\n fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> impl std::future::Future> + Send {\n let client = self.client.clone();\n let metrics = self.metrics.clone();\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n\n async move {\n let start = Instant::now();\n let result = client.search_node(&node, &address, &request).await;\n let elapsed = start.elapsed().as_secs_f64();\n metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n }\n\n fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> impl std::future::Future> + Send {\n let client = self.client.clone();\n let metrics = self.metrics.clone();\n let node = node.clone();\n let address = address.to_string();\n let request = request.clone();\n\n async move {\n let start = Instant::now();\n let result = client.preflight_node(&node, &address, &request).await;\n let elapsed = start.elapsed().as_secs_f64();\n metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n }\n}","originalFile":"//! Multi-search batch API endpoint (plan §13.11).\n\nuse axum::{\n extract::{FromRef, State},\n http::StatusCode,\n Json,\n};\nuse miroir_core::{\n config::UnavailableShardPolicy,\n merger::{ScoreMergeStrategy, MergeStrategy},\n multi_search::{MultiSearchExecutor, SearchResultData, MultiSearchResponse},\n scatter::{dfs_query_then_fetch_search, plan_search_scatter, SearchRequest, NodeClient},\n topology::Topology,\n};\nuse serde::{Deserialize, Serialize};\nuse serde_json::Value;\nuse std::sync::Arc;\nuse std::time::Instant;\nuse tokio::sync::RwLock;\nuse tracing::{debug, info, instrument};\n\nuse crate::routes::admin_endpoints::AppState;\n\n/// Multi-search state.\n#[derive(Clone)]\npub struct MultiSearchState {\n pub config: Arc,\n pub topology: Arc>,\n pub node_master_key: String,\n pub metrics: crate::middleware::Metrics,\n pub alias_registry: Arc,\n}\n\n/// Multi-search request (plan §13.11).\n#[derive(Debug, Clone, Deserialize, Serialize)]\npub struct MultiSearchRequest {\n pub queries: Vec,\n}\n\n/// A single query in the batch.\n#[derive(Debug, Clone, Deserialize, Serialize)]\npub struct SingleSearchQuery {\n pub index_uid: String,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub q: Option,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub filter: Option,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub sort: Option>,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub limit: Option,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub offset: Option,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub facets: Option>,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub ranking_score: Option,\n #[serde(flatten)]\n pub rest: Value,\n}\n\n/// Search response (matches Meilisearch response format).\n#[derive(Debug, Clone, Serialize, Default)]\npub struct SearchResponse {\n pub hits: Vec,\n pub estimated_total_hits: u64,\n pub limit: usize,\n pub offset: usize,\n pub processing_time_ms: u64,\n pub query: Option,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub facet_distribution: Option>>,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub degraded: Option,\n #[serde(skip_serializing_if = \"Option::is_none\")]\n pub failed_shards: Option>,\n}\n\n/// Node client implementation using the HTTP client.\n#[derive(Clone)]\npub struct ProxyNodeClient {\n client: Arc,\n metrics: Arc,\n}\n\nimpl ProxyNodeClient {\n pub fn new(client: Arc, metrics: crate::middleware::Metrics) -> Self {\n Self { client, metrics: Arc::new(metrics) }\n }\n}\n\n#[allow(async_fn_in_trait)]\nimpl NodeClient for ProxyNodeClient {\n async fn search_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &SearchRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.search_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n\n async fn preflight_node(\n &self,\n node: &miroir_core::topology::NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result {\n let start = Instant::now();\n let result = self.client.preflight_node(node, address, request).await;\n let elapsed = start.elapsed().as_secs_f64();\n self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);\n if let Err(ref e) = result {\n self.metrics.inc_node_errors(node.as_str(), error_label(e));\n }\n result\n }\n}\n\nfn error_label(e: &miroir_core::scatter::NodeError) -> &'static str {\n match e {\n miroir_core::scatter::NodeError::NetworkError(_) => \"network\",\n miroir_core::scatter::NodeError::HttpError { .. } => \"http\",\n miroir_core::scatter::NodeError::Timeout => \"timeout\",\n }\n}\n\n/// POST /multi-search — execute multiple searches in a single batch.\n///\n/// Plan §13.11: Reduces round-trips for search UIs that need results + facets\n/// from multiple queries per page render. Each query runs in parallel.\n#[instrument(skip_all, fields(query_count = body.queries.len()))]\npub async fn multi_search(\n State(state): State,\n Json(body): Json,\n) -> Result, StatusCode>\nwhere\n S: Clone + Send + Sync + 'static,\n MultiSearchState: FromRef,\n{\n if !state.config.multi_search.enabled {\n return Err(StatusCode::NOT_IMPLEMENTED);\n }\n\n if body.queries.is_empty() {\n return Err(StatusCode::BAD_REQUEST);\n }\n\n if body.queries.len() > state.config.multi_search.max_queries_per_batch as usize {\n return Err(StatusCode::BAD_REQUEST);\n }\n\n let executor = MultiSearchExecutor::new(state.config.multi_search.clone());\n\n // Get topology and policy once for all queries\n let topology = state.topology.read().await;\n let policy = match state.config.scatter.unavailable_shard_policy.as_str() {\n \"partial\" => UnavailableShardPolicy::Partial,\n \"error\" => UnavailableShardPolicy::Error,\n \"fallback\" => UnavailableShardPolicy::Fallback,\n _ => return Err(StatusCode::INTERNAL_SERVER_ERROR),\n };\n\n // Create node client\n let http_client = Arc::new(crate::client::HttpClient::new(\n state.node_master_key.clone(),\n state.config.scatter.node_timeout_ms,\n ));\n let node_client = ProxyNodeClient::new(http_client, state.metrics.clone());\n let strategy = ScoreMergeStrategy::new();\n\n // Convert MultiSearchRequest to core MultiSearchRequest\n // Resolve aliases for each query (plan §13.7)\n let mut queries_with_resolutions = Vec::new();\n for mut q in body.queries {\n // Resolve alias to concrete index UID(s)\n let (effective_index, resolved_targets) = if state.config.aliases.enabled {\n let targets = state.alias_registry.resolve(&q.index_uid).await;\n state.metrics.inc_alias_resolution(&q.index_uid);\n if targets != vec![q.index_uid.clone()] {\n // It's an alias\n (q.index_uid.clone(), targets)\n } else {\n // Not an alias\n (q.index_uid.clone(), vec![q.index_uid.clone()])\n }\n } else {\n (q.index_uid.clone(), vec![q.index_uid.clone()])\n };\n\n // For multi-target aliases, we use the first target for the query\n // (multi-target alias fanout is handled by expanding queries in future)\n q.index_uid = effective_index;\n\n let filter_str = q.filter.as_ref()\n .and_then(|v| if v.is_null() || v.is_string() && v.as_str().map(|s| s.is_empty()).unwrap_or(false) {\n None\n } else {\n serde_json::to_string(v).ok()\n });\n\n queries_with_resolutions.push((q, filter_str, resolved_targets));\n }\n\n let core_request = miroir_core::multi_search::MultiSearchRequest {\n queries: queries_with_resolutions.into_iter().map(|(q, filter_str, _resolved_targets)| {\n miroir_core::multi_search::SearchQuery {\n indexUid: q.index_uid,\n q: q.q,\n filter: filter_str,\n limit: q.limit,\n offset: q.offset,\n other: {\n let mut map = std::collections::HashMap::new();\n if let Some(sort) = q.sort {\n map.insert(\"sort\".to_string(), serde_json::to_value(sort).unwrap());\n }\n if let Some(facets) = q.facets {\n map.insert(\"facets\".to_string(), serde_json::to_value(facets).unwrap());\n }\n if let Some(ranking_score) = q.ranking_score {\n map.insert(\"rankingScore\".to_string(), serde_json::to_value(ranking_score).unwrap());\n }\n // Add any additional fields from rest\n if let Ok(obj) = serde_json::from_value::>(q.rest) {\n for (k, v) in obj {\n map.entry(k).or_insert(v);\n }\n }\n map\n },\n }\n }).collect()\n };\n\n // Execute multi-search with scatter-gather\n let response = executor\n .execute(core_request, move |query| {\n let topology = topology.clone();\n let node_client = node_client.clone();\n let config = state.config.clone();\n let strategy = strategy.clone();\n let policy = policy;\n\n async move {\n let start = Instant::now();\n\n // Plan scatter for this query\n let plan = plan_search_scatter(\n &topology,\n 0,\n config.replication_factor as usize,\n config.shards,\n );\n\n // Build search request\n let filter_value = query.filter.as_ref()\n .and_then(|s| serde_json::from_str::(s).ok());\n let search_req = SearchRequest {\n index_uid: query.indexUid.clone(),\n query: query.q.clone(),\n offset: query.offset.unwrap_or(0),\n limit: query.limit.unwrap_or(20),\n filter: filter_value,\n facets: query.other.get(\"facets\").and_then(|v| {\n serde_json::from_value::>(v.clone()).ok()\n }),\n ranking_score: query.other.get(\"rankingScore\")\n .and_then(|v| v.as_bool())\n .unwrap_or(false),\n body: serde_json::json!(query.other),\n global_idf: None,\n };\n\n // Execute DFS query-then-fetch\n match dfs_query_then_fetch_search(\n plan,\n &node_client,\n search_req,\n &topology,\n policy,\n &strategy as &dyn MergeStrategy,\n )\n .await\n {\n Ok(result) => {\n // Strip internal fields from hits\n let mut hits = result.hits;\n for hit in &mut hits {\n if let Some(obj) = hit.as_object_mut() {\n obj.remove(\"_miroir_shard\");\n }\n }\n\n let response_limit = query.limit.unwrap_or(20);\n let response_offset = query.offset.unwrap_or(0);\n\n let body = serde_json::json!({\n \"hits\": hits,\n \"estimatedTotalHits\": result.estimated_total_hits,\n \"limit\": response_limit,\n \"offset\": response_offset,\n \"processingTimeMs\": result.processing_time_ms,\n \"query\": query.q,\n });\n\n let mut search_response = SearchResponse {\n hits,\n estimated_total_hits: result.estimated_total_hits,\n limit: response_limit,\n offset: response_offset,\n processing_time_ms: result.processing_time_ms,\n query: query.q,\n facet_distribution: result.facet_distribution,\n degraded: if result.degraded { Some(true) } else { None },\n failed_shards: if !result.failed_shards.is_empty() {\n Some(result.failed_shards)\n } else {\n None\n },\n };\n\n debug!(\n index = %query.indexUid,\n duration_ms = start.elapsed().as_millis(),\n hits = search_response.hits.len(),\n \"multi-search query completed\"\n );\n\n Ok(SearchResultData { body: serde_json::to_value(search_response).unwrap() })\n }\n Err(e) => {\n debug!(\n index = %query.indexUid,\n error = %e,\n \"multi-search query failed\"\n );\n Err(e)\n }\n }\n }\n })\n .await\n .map_err(|e| {\n tracing::error!(error = %e, \"multi-search execution failed\");\n StatusCode::INTERNAL_SERVER_ERROR\n })?;\n\n Ok(Json(response))\n}\n\npub fn router() -> axum::Router\nwhere\n S: Clone + Send + Sync + 'static,\n MultiSearchState: FromRef,\n{\n axum::Router::new().route(\"/\", axum::routing::post(multi_search::))\n}\n","structuredPatch":[{"oldStart":89,"oldLines":38,"newStart":89,"newLines":53,"lines":[" }"," }"," ","-#[allow(async_fn_in_trait)]"," impl NodeClient for ProxyNodeClient {","- async fn search_node(","+ fn search_node("," &self,"," node: &miroir_core::topology::NodeId,"," address: &str,"," request: &SearchRequest,","- ) -> std::result::Result {","- let start = Instant::now();","- let result = self.client.search_node(node, address, request).await;","- let elapsed = start.elapsed().as_secs_f64();","- self.metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);","- if let Err(ref e) = result {","- self.metrics.inc_node_errors(node.as_str(), error_label(e));","+ ) -> impl std::future::Future> + Send {","+ let client = self.client.clone();","+ let metrics = self.metrics.clone();","+ let node = node.clone();","+ let address = address.to_string();","+ let request = request.clone();","+","+ async move {","+ let start = Instant::now();","+ let result = client.search_node(&node, &address, &request).await;","+ let elapsed = start.elapsed().as_secs_f64();","+ metrics.record_node_request_duration(node.as_str(), \"search\", elapsed);","+ if let Err(ref e) = result {","+ metrics.inc_node_errors(node.as_str(), error_label(e));","+ }","+ result"," }","- result"," }"," ","- async fn preflight_node(","+ fn preflight_node("," &self,"," node: &miroir_core::topology::NodeId,"," address: &str,"," request: &miroir_core::scatter::PreflightRequest,","- ) -> std::result::Result {","- let start = Instant::now();","- let result = self.client.preflight_node(node, address, request).await;","- let elapsed = start.elapsed().as_secs_f64();","- self.metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);","- if let Err(ref e) = result {","- self.metrics.inc_node_errors(node.as_str(), error_label(e));","+ ) -> impl std::future::Future> + Send {","+ let client = self.client.clone();","+ let metrics = self.metrics.clone();","+ let node = node.clone();","+ let address = address.to_string();","+ let request = request.clone();","+","+ async move {","+ let start = Instant::now();","+ let result = client.preflight_node(&node, &address, &request).await;","+ let elapsed = start.elapsed().as_secs_f64();","+ metrics.record_node_request_duration(node.as_str(), \"preflight\", elapsed);","+ if let Err(ref e) = result {","+ metrics.inc_node_errors(node.as_str(), error_label(e));","+ }","+ result"," }","- result"," }"," }"," "]}],"userModified":false,"replaceAll":false}} 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+{"type":"stream_event","event":{"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"."}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"93b6e635-db29-47c9-a504-c8ea8edd7aa1"} +{"type":"assistant","message":{"id":"msg_20260523204555142f3faec2324512","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"thinking","thinking":"Now I need to update the test file to use the correct mock signature. The test uses `mockall::mock!` to generate a mock. Since I changed the trait from `async fn` to `fn` returning `impl Future + Send`, the mockall generation might need to be updated differently. Let me check if there are compilation errors and see if we need to update the test file.\n\nLet me try running the tests to see if there are any remaining issues.","signature":""}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"e186147d-ee2e-4dba-8368-410e4267a2ed"} +{"type":"stream_event","event":{"type":"content_block_stop","index":0},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"f10f95f0-466f-4de1-82c8-b6a8d34e0f8d"} +{"type":"stream_event","event":{"type":"content_block_start","index":1,"content_block":{"type":"text","text":""}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"911f93d4-4d5f-4e9a-80a9-1e803a19fe8e"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"Now"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"c4248ffe-6aeb-44e3-af9d-00e529e934bf"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" let"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"838e0364-9e00-4360-b989-d255d9236ee8"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" me"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"b23301e8-0683-4621-a1f0-55ee54dd2df3"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" try"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"0559df3a-35bf-400f-ba63-037bcf700162"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" to"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"98897432-33b5-4d06-b842-69d234d15d8d"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" run"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"8506c167-e04a-46fb-b333-75d145e9bb4f"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" the"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"e9e2291a-0276-44f2-b734-2c41c7a041aa"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" tests"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"6e58da32-b717-45ef-93e9-7d58dc6e778d"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" again"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"af7f633b-c2d6-466e-8e71-f0891cf124de"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" to"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"0cc30bae-a42c-43f5-b8e3-ad11728c3a46"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" see"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"9a6633b4-f3ff-4dd2-b308-a53156027f4d"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" if"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"4b43b567-00cd-4229-a293-bb49a95584e9"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" there"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"86ed75a6-e0f9-4fa7-9b4a-f74f943949fb"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" are"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"723bb043-5986-4a23-839f-3d293942402a"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" any"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"4ed06406-e19a-4cb5-9cf6-cf1f1de95034"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" remaining"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"ef7e0029-8825-4a51-b3ef-757a27e71e22"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":" issues"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"ec440525-6cb5-4095-969d-03354115a499"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":":"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"d6290949-ee99-47ec-9be4-b9f292949c8e"} +{"type":"assistant","message":{"id":"msg_20260523204555142f3faec2324512","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"text","text":"Now let me try to run the tests again to see if there are any remaining issues:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"287ff180-a12e-415e-ac8d-d29e8c66dbd8"} +{"type":"stream_event","event":{"type":"content_block_stop","index":1},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"1d41130d-8dae-4771-80a2-68bd62f3e8c1"} +{"type":"stream_event","event":{"type":"content_block_start","index":2,"content_block":{"type":"tool_use","id":"call_7bd18227983c463d9156468d","name":"Bash","input":{}}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"fd7362d2-5173-4c30-b8ba-f8fdb80cdd72"} +{"type":"stream_event","event":{"type":"content_block_delta","index":2,"delta":{"type":"input_json_delta","partial_json":"{\"command\":\"cargo test --test p5_8_b_anti_entropy_diff --lib 2>&1 | tail -100\",\"description\":\"Run P5.8.b anti-entropy diff tests\",\"timeout\":180000}"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"67b7709a-3248-4571-9669-542598af4447"} +{"type":"assistant","message":{"id":"msg_20260523204555142f3faec2324512","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_7bd18227983c463d9156468d","name":"Bash","input":{"command":"cargo test --test p5_8_b_anti_entropy_diff --lib 2>&1 | tail -100","description":"Run P5.8.b anti-entropy diff tests","timeout":180000}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"3e8a8f71-1209-486e-9eef-7e72dda739e8"} +{"type":"stream_event","event":{"type":"content_block_stop","index":2},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"1099b819-9a66-484b-9dfd-4d6a1113a992"} +{"type":"stream_event","event":{"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":892,"output_tokens":171,"cache_read_input_tokens":87936,"server_tool_use":{"web_search_requests":0},"service_tier":"standard"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"66fb9d8a-602b-4cce-8125-7822a7268f7f"} +{"type":"stream_event","event":{"type":"message_stop"},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"31d71954-1cd0-41e9-9b6c-54dfbb2fcc0d"} +{"type":"system","subtype":"task_started","task_id":"bhs6bkoni","tool_use_id":"call_7bd18227983c463d9156468d","description":"Run P5.8.b anti-entropy diff tests","task_type":"local_bash","uuid":"2c3547b6-c01e-4414-b391-433abb73b2fc","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} +{"type":"system","subtype":"task_notification","task_id":"bhs6bkoni","tool_use_id":"call_7bd18227983c463d9156468d","status":"completed","output_file":"","summary":"Run P5.8.b anti-entropy diff tests","uuid":"2db7739b-8695-4075-ab53-b62c61494146","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_7bd18227983c463d9156468d","type":"tool_result","content":"Failed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_migrate stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_migrate' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_node_settings_version stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_node_settings_version' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_pubsub_session_invalidation stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_pubsub_session_invalidation' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_rate_limit_admin_login stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_rate_limit_admin_login' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_rate_limit_searchui stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_rate_limit_searchui' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_rollover_policies stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_rollover_policies' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_scoped_key_observation stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_scoped_key_observation' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_search_ui_config stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_search_ui_config' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_sessions stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_sessions' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_sessions_expire stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_sessions_expire' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_tasks_crud stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_tasks_crud' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_taskstore_trait_completeness stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_taskstore_trait_completeness' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_tenant_map stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_tenant_map' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n\nfailures:\n query_planner::tests::test_plan_or_not_narrowable\n task_store::redis::tests::integration::test_redis_admin_sessions\n task_store::redis::tests::integration::test_redis_aliases_multi\n task_store::redis::tests::integration::test_redis_aliases_single\n task_store::redis::tests::integration::test_redis_canaries\n task_store::redis::tests::integration::test_redis_canary_runs\n task_store::redis::tests::integration::test_redis_cdc_cursors\n task_store::redis::tests::integration::test_redis_cdc_overflow\n task_store::redis::tests::integration::test_redis_cdc_overflow_trim\n task_store::redis::tests::integration::test_redis_idempotency\n task_store::redis::tests::integration::test_redis_jobs\n task_store::redis::tests::integration::test_redis_leader_lease\n task_store::redis::tests::integration::test_redis_lease_race\n task_store::redis::tests::integration::test_redis_memory_budget\n task_store::redis::tests::integration::test_redis_migrate\n task_store::redis::tests::integration::test_redis_node_settings_version\n task_store::redis::tests::integration::test_redis_pubsub_session_invalidation\n task_store::redis::tests::integration::test_redis_rate_limit_admin_login\n task_store::redis::tests::integration::test_redis_rate_limit_searchui\n task_store::redis::tests::integration::test_redis_rollover_policies\n task_store::redis::tests::integration::test_redis_scoped_key_observation\n task_store::redis::tests::integration::test_redis_search_ui_config\n task_store::redis::tests::integration::test_redis_sessions\n task_store::redis::tests::integration::test_redis_sessions_expire\n task_store::redis::tests::integration::test_redis_tasks_crud\n task_store::redis::tests::integration::test_redis_taskstore_trait_completeness\n task_store::redis::tests::integration::test_redis_tenant_map\n\ntest result: FAILED. 493 passed; 27 failed; 0 ignored; 0 measured; 0 filtered out; finished in 66.02s\n\nerror: test failed, to rerun pass `-p miroir-core --lib`","is_error":false}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"d8e330cc-75d1-453d-984b-8d6d25a737a5","timestamp":"2026-05-23T12:47:41.920Z","tool_use_result":{"stdout":"Failed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_migrate stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_migrate' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_node_settings_version stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_node_settings_version' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_pubsub_session_invalidation stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_pubsub_session_invalidation' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_rate_limit_admin_login stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_rate_limit_admin_login' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_rate_limit_searchui stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_rate_limit_searchui' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_rollover_policies stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_rollover_policies' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_scoped_key_observation stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_scoped_key_observation' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_search_ui_config stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_search_ui_config' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_sessions stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_sessions' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_sessions_expire stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_sessions_expire' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_tasks_crud stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_tasks_crud' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_taskstore_trait_completeness stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_taskstore_trait_completeness' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n---- task_store::redis::tests::integration::test_redis_tenant_map stdout ----\n\nthread 'task_store::redis::tests::integration::test_redis_tenant_map' panicked at crates/miroir-core/src/task_store/redis.rs:2957:44:\nFailed to start Redis: Client(Init(SocketNotFoundError(\"/var/run/docker.sock\")))\n\n\nfailures:\n query_planner::tests::test_plan_or_not_narrowable\n task_store::redis::tests::integration::test_redis_admin_sessions\n task_store::redis::tests::integration::test_redis_aliases_multi\n task_store::redis::tests::integration::test_redis_aliases_single\n task_store::redis::tests::integration::test_redis_canaries\n task_store::redis::tests::integration::test_redis_canary_runs\n task_store::redis::tests::integration::test_redis_cdc_cursors\n task_store::redis::tests::integration::test_redis_cdc_overflow\n task_store::redis::tests::integration::test_redis_cdc_overflow_trim\n task_store::redis::tests::integration::test_redis_idempotency\n task_store::redis::tests::integration::test_redis_jobs\n task_store::redis::tests::integration::test_redis_leader_lease\n task_store::redis::tests::integration::test_redis_lease_race\n task_store::redis::tests::integration::test_redis_memory_budget\n task_store::redis::tests::integration::test_redis_migrate\n task_store::redis::tests::integration::test_redis_node_settings_version\n task_store::redis::tests::integration::test_redis_pubsub_session_invalidation\n task_store::redis::tests::integration::test_redis_rate_limit_admin_login\n task_store::redis::tests::integration::test_redis_rate_limit_searchui\n task_store::redis::tests::integration::test_redis_rollover_policies\n task_store::redis::tests::integration::test_redis_scoped_key_observation\n task_store::redis::tests::integration::test_redis_search_ui_config\n task_store::redis::tests::integration::test_redis_sessions\n task_store::redis::tests::integration::test_redis_sessions_expire\n task_store::redis::tests::integration::test_redis_tasks_crud\n task_store::redis::tests::integration::test_redis_taskstore_trait_completeness\n task_store::redis::tests::integration::test_redis_tenant_map\n\ntest result: FAILED. 493 passed; 27 failed; 0 ignored; 0 measured; 0 filtered out; finished in 66.02s\n\nerror: test failed, to rerun pass `-p miroir-core --lib`","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}} +{"type":"system","subtype":"status","status":"requesting","uuid":"3e853f23-db03-4fed-9cff-3aa780a9825a","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} 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undeclared type `LeaderLease`\n\nerror[E0609]: no field `lease` on type `&TtlWorker`\n --> crates/miroir-core/src/rebalancer_worker/ttl_worker.rs:194:34\n |\n194 | ... self.lease = Some(lease);\n | ^^^^^ unknown field\n |\n--\nerror[E0609]: no field `lease` on type `&TtlWorker`\n --> crates/miroir-core/src/rebalancer_worker/ttl_worker.rs:211:36\n |\n211 | if let Some(lease) = &self.lease {\n | ^^^^^ unknown field\n |","is_error":false}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"9b283d6a-7189-4b12-93c9-7db482c09c82","timestamp":"2026-05-23T12:48:04.542Z","tool_use_result":{"stdout":"error[E0609]: no field `lease` on type `&TtlWorker`\n --> crates/miroir-core/src/rebalancer_worker/ttl_worker.rs:166:24\n |\n166 | match self.lease.as_ref() {\n | ^^^^^ unknown field\n |\n--\nerror[E0609]: no field `lease` on type `&TtlWorker`\n --> crates/miroir-core/src/rebalancer_worker/ttl_worker.rs:175:34\n |\n175 | ... self.lease = None;\n | ^^^^^ unknown field\n |\n--\nerror[E0433]: failed to resolve: use of undeclared type `LeaderLease`\n --> crates/miroir-core/src/rebalancer_worker/ttl_worker.rs:182:27\n |\n182 | match LeaderLease::acquire(\n | ^^^^^^^^^^^ use of undeclared type `LeaderLease`\n\nerror[E0609]: no field `lease` on type `&TtlWorker`\n --> crates/miroir-core/src/rebalancer_worker/ttl_worker.rs:194:34\n |\n194 | ... self.lease = Some(lease);\n | ^^^^^ unknown field\n |\n--\nerror[E0609]: no field `lease` on type `&TtlWorker`\n --> crates/miroir-core/src/rebalancer_worker/ttl_worker.rs:211:36\n |\n211 | if let Some(lease) = &self.lease {\n | ^^^^^ unknown field\n |","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}} +{"type":"system","subtype":"status","status":"requesting","uuid":"5bdecd84-2a90-49dc-ad43-c1b5b5b6cba8","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} 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Let me check if the anti-entropy code compiles correctly:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"bc2e8e61-de36-45f9-b153-fb6d8bcd1eae"} +{"type":"stream_event","event":{"type":"content_block_stop","index":1},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"ab5d15af-ef3f-43c4-9a1c-5724a6a650eb"} +{"type":"stream_event","event":{"type":"content_block_start","index":2,"content_block":{"type":"tool_use","id":"call_8f424df877074dfa94c479d3","name":"Bash","input":{}}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"46369a19-bcf4-4130-a5a5-2b5e09d29b32"} +{"type":"stream_event","event":{"type":"content_block_delta","index":2,"delta":{"type":"input_json_delta","partial_json":"{\"command\":\"cargo check --lib 2>&1 | grep -E \\\"(error|warning:.*anti_entropy)\\\" 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issues","task_type":"local_bash","uuid":"2930d07c-4bcd-473e-991b-8ae8a778608d","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} +{"type":"system","subtype":"task_notification","task_id":"b0ibn6c7i","tool_use_id":"call_8f424df877074dfa94c479d3","status":"completed","output_file":"","summary":"Check for anti-entropy compilation issues","uuid":"4290cd6a-0b49-48cb-b2bc-6b8a4c192298","session_id":"336f80db-0374-48ee-8311-5bb3f034a38d"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_8f424df877074dfa94c479d3","type":"tool_result","content":" Checking quick-error v1.2.3\n Checking serde_path_to_error v0.1.20\nerror[E0425]: cannot find function `now_ms` in this scope\nerror[E0425]: cannot find function `now_ms` in this scope\n6 | use crate::error::{MiroirError, Result};\n25 | use tracing::{info, error, warn};\nwarning: unused import: `error`\n33 | use tracing::{debug, error, info, warn};\nwarning: unused import: `error`\n20 | use tracing::{debug, info, warn, error};\n20 | use crate::error::{MiroirError, Result};\n29 | use tracing::{debug, error, info, warn};\n6 | use crate::error::{MiroirError, Result};\nwarning: unused import: `error`\n18 | use tracing::{info, warn, error};\n7 | use crate::error::{MiroirError, Result};\n18 | use crate::error::{MiroirError, Result};\n Checking thiserror v1.0.69\nerror[E0107]: type alias takes 1 generic argument but 2 generic arguments were supplied\n --> crates/miroir-core/src/error.rs:6:10\nerror[E0308]: mismatched types\nerror[E0308]: mismatched types\n251 | return Err(error::MiroirError::Config(e.to_string()));\n251 | return Err(error::MiroirError::Topology(e.to_string()));\n251 | return Err(error::MiroirError::Routing(e.to_string()));\n251 | return Err(error::MiroirError::Merge(e.to_string()));\n = warning: this was previously accepted by the compiler but is being phased out; it will become a hard error in Rust 2024 and in a future release in all editions!\nSome errors have detailed explanations: E0107, E0308, E0425.\nFor more information about an error, try `rustc --explain E0107`.\nerror: could not compile `miroir-core` (lib) due to 5 previous errors; 57 warnings emitted","is_error":false}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"1039be1e-ced0-4c21-b65b-ce17b7f75d29","timestamp":"2026-05-23T12:48:34.671Z","tool_use_result":{"stdout":" Checking quick-error v1.2.3\n Checking serde_path_to_error v0.1.20\nerror[E0425]: cannot find function `now_ms` in this scope\nerror[E0425]: cannot find function `now_ms` in this scope\n6 | use crate::error::{MiroirError, Result};\n25 | use tracing::{info, error, warn};\nwarning: unused import: `error`\n33 | use tracing::{debug, error, info, warn};\nwarning: unused import: `error`\n20 | use tracing::{debug, info, warn, error};\n20 | use crate::error::{MiroirError, Result};\n29 | use tracing::{debug, error, info, warn};\n6 | use crate::error::{MiroirError, Result};\nwarning: unused import: `error`\n18 | use tracing::{info, warn, error};\n7 | use crate::error::{MiroirError, Result};\n18 | use crate::error::{MiroirError, Result};\n Checking thiserror v1.0.69\nerror[E0107]: type alias takes 1 generic argument but 2 generic arguments were supplied\n --> crates/miroir-core/src/error.rs:6:10\nerror[E0308]: mismatched types\nerror[E0308]: mismatched types\n251 | return Err(error::MiroirError::Config(e.to_string()));\n251 | return Err(error::MiroirError::Topology(e.to_string()));\n251 | return Err(error::MiroirError::Routing(e.to_string()));\n251 | return Err(error::MiroirError::Merge(e.to_string()));\n = warning: this was previously accepted by the compiler but is being phased out; it will become a hard error in Rust 2024 and in a future release in all editions!\nSome errors have detailed explanations: E0107, E0308, E0425.\nFor more information about an error, try `rustc --explain E0107`.\nerror: could not compile `miroir-core` (lib) due to 5 previous errors; 57 warnings 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P5.8.b: Anti-entropy diff step integration tests.\n2\t//!\n3\t//! Tests the diff step (plan §13.8 step 2):\n4\t//! - Per-bucket (pk-hash % 256) digest computation\n5\t//! - Divergent bucket identification\n6\t//! - Divergent primary key enumeration within buckets\n7\t//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n8\t\n9\tuse miroir_core::anti_entropy::{\n10\t AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n11\t};\n12\tuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\n13\tuse miroir_core::topology::{Node, NodeId, Topology};\n14\tuse serde_json::json;\n15\tuse std::collections::HashMap;\n16\tuse std::sync::Arc;\n17\tuse tokio::sync::RwLock;\n18\t\n19\tmockall::mock! {\n20\t pub TestNodeClient {}\n21\t impl NodeClient for TestNodeClient {\n22\t async fn search_node(\n23\t &self,\n24\t node: &NodeId,\n25\t address: &str,\n26\t request: &miroir_core::scatter::SearchRequest,\n27\t ) -> std::result::Result;\n28\t\n29\t async fn preflight_node(\n30\t &self,\n31\t node: &NodeId,\n32\t address: &str,\n33\t request: &miroir_core::scatter::PreflightRequest,\n34\t ) -> std::result::Result;\n35\t\n36\t async fn write_documents(\n37\t &self,\n38\t node: &NodeId,\n39\t address: &str,\n40\t request: &miroir_core::scatter::WriteRequest,\n41\t ) -> std::result::Result;\n42\t\n43\t async fn delete_documents(\n44\t &self,\n45\t node: &NodeId,\n46\t address: &str,\n47\t request: &miroir_core::scatter::DeleteByIdsRequest,\n48\t ) -> std::result::Result;\n49\t\n50\t async fn delete_documents_by_filter(\n51\t &self,\n52\t node: &NodeId,\n53\t address: &str,\n54\t request: &miroir_core::scatter::DeleteByFilterRequest,\n55\t ) -> std::result::Result;\n56\t\n57\t async fn fetch_documents(\n58\t &self,\n59\t node: &NodeId,\n60\t address: &str,\n61\t request: &FetchDocumentsRequest,\n62\t ) -> std::result::Result;\n63\t }\n64\t}\n65\t\n66\t#[tokio::test]\n67\tasync fn test_bucket_for_primary_key_deterministic() {\n68\t // Test that bucket assignment is deterministic\n69\t let pk = \"test-primary-key-123\";\n70\t let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"2c16c819-4282-474d-b57e-30421b6b7008","timestamp":"2026-05-23T12:48:56.702Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/miroir/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs","content":"//! 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Tests the diff step (plan §13.8 step 2):\n//! - Per-bucket (pk-hash % 256) digest computation\n//! - Divergent bucket identification\n//! - Divergent primary key enumeration within buckets\n//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n\nuse miroir_core::anti_entropy::{\n AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n};\nuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\nuse miroir_core::topology::{Node, NodeId, Topology};\nuse serde_json::json;\nuse std::collections::HashMap;\nuse std::sync::Arc;\nuse tokio::sync::RwLock;\n\nmockall::mock! {\n pub TestNodeClient {}\n impl NodeClient for TestNodeClient {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::SearchRequest,\n ) -> std::result::Result;\n\n async fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> 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P5.8.b: Anti-entropy diff step integration tests.\n2\t//!\n3\t//! Tests the diff step (plan §13.8 step 2):\n4\t//! - Per-bucket (pk-hash % 256) digest computation\n5\t//! - Divergent bucket identification\n6\t//! - Divergent primary key enumeration within buckets\n7\t//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n8\t\n9\tuse miroir_core::anti_entropy::{\n10\t AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n11\t};\n12\tuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\n13\tuse miroir_core::topology::{Node, NodeId, Topology};\n14\tuse serde_json::json;\n15\tuse std::collections::HashMap;\n16\tuse std::sync::Arc;\n17\tuse tokio::sync::RwLock;\n18\t\n19\tmockall::mock! {\n20\t pub TestNodeClient {}\n21\t impl NodeClient for TestNodeClient {\n22\t async fn search_node(\n23\t &self,\n24\t node: &NodeId,\n25\t address: &str,\n26\t request: &miroir_core::scatter::SearchRequest,\n27\t ) -> std::result::Result;\n28\t\n29\t async fn preflight_node(\n30\t &self,\n31\t node: &NodeId,\n32\t address: &str,\n33\t request: &miroir_core::scatter::PreflightRequest,\n34\t ) -> std::result::Result;\n35\t\n36\t async fn write_documents(\n37\t &self,\n38\t node: &NodeId,\n39\t address: &str,\n40\t request: &miroir_core::scatter::WriteRequest,\n41\t ) -> std::result::Result;\n42\t\n43\t async fn delete_documents(\n44\t &self,\n45\t node: &NodeId,\n46\t address: &str,\n47\t request: &miroir_core::scatter::DeleteByIdsRequest,\n48\t ) -> std::result::Result;\n49\t\n50\t async fn delete_documents_by_filter(\n51\t &self,\n52\t node: &NodeId,\n53\t address: &str,\n54\t request: &miroir_core::scatter::DeleteByFilterRequest,\n55\t ) -> std::result::Result;\n56\t\n57\t async fn fetch_documents(\n58\t &self,\n59\t node: &NodeId,\n60\t address: &str,\n61\t request: &FetchDocumentsRequest,\n62\t ) -> std::result::Result;\n63\t }\n64\t}\n65\t\n66\t#[tokio::test]\n67\tasync fn test_bucket_for_primary_key_deterministic() {\n68\t // Test that bucket assignment is deterministic\n69\t let pk = \"test-primary-key-123\";\n70\t let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n71\t let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n72\t\n73\t assert_eq!(bucket1, bucket2, \"bucket assignment should be deterministic\");\n74\t assert!(bucket1 < BUCKET_COUNT, \"bucket ID should be in range\");\n75\t}\n76\t\n77\t#[tokio::test]\n78\tasync fn test_bucket_for_primary_key_distributes() {\n79\t // Test that different keys distribute across buckets\n80\t let mut buckets = std::collections::HashSet::new();\n81\t\n82\t for i in 0..1000 {\n83\t let pk = format!(\"key-{}\", i);\n84\t let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);\n85\t buckets.insert(bucket);\n86\t }\n87\t\n88\t // With 1000 keys and 256 buckets, we should hit many buckets\n89\t // (statistically, almost all of them)\n90\t assert!(buckets.len() > 200, \"keys should distribute across many buckets\");\n91\t}\n92\t\n93\t#[tokio::test]\n94\tasync fn test_fingerprint_shard_includes_bucket_hashes() {\n95\t // Test that fingerprinting now computes per-bucket hashes\n96\t let doc1 = json!({\n97\t \"id\": \"doc-1\",\n98\t \"title\": \"First\",\n99\t \"_miroir_shard\": 0,\n100\t });\n101\t\n102\t let doc2 = json!({\n103\t \"id\": \"doc-2\",\n104\t \"title\": \"Second\",\n105\t \"_miroir_shard\": 0,\n106\t });\n107\t\n108\t let mut mock_client = MockTestNodeClient::new();\n109\t mock_client.expect_fetch_documents().returning({\n110\t let mut call_count = 0;\n111\t move |_, _, req| {\n112\t let docs = match call_count {\n113\t 0 => vec![doc1.clone(), doc2.clone()],\n114\t _ => vec![],\n115\t };\n116\t call_count += 1;\n117\t\n118\t Ok(FetchDocumentsResponse {\n119\t results: docs,\n120\t limit: req.limit,\n121\t offset: req.offset,\n122\t total: 2,\n123\t })\n124\t }\n125\t });\n126\t\n127\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n128\t let reconciler = AntiEntropyReconciler::new(\n129\t AntiEntropyConfig::default(),\n130\t topology,\n131\t Arc::new(mock_client),\n132\t );\n133\t\n134\t let node_id = NodeId::new(\"node-1\".to_string());\n135\t let result = reconciler\n136\t .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n137\t .await\n138\t .unwrap();\n139\t\n140\t assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT);\n141\t // Each bucket hash should be a valid xxh3 hash string\n142\t for bucket_hash in &result.bucket_hashes {\n143\t assert!(bucket_hash.starts_with(\"xxh3:\"));\n144\t }\n145\t}\n146\t\n147\t#[tokio::test]\n148\tasync fn test_diff_fingerprints_identical() {\n149\t // Test diff with identical fingerprints (no divergence)\n150\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n151\t let reconciler = AntiEntropyReconciler::::new(\n152\t AntiEntropyConfig::default(),\n153\t topology,\n154\t Arc::new(MockTestNodeClient::new()),\n155\t );\n156\t\n157\t let fp = ShardFingerprint {\n158\t shard_id: 0,\n159\t node_id: \"node-1\".to_string(),\n160\t merkle_root: \"xxh3:123\".to_string(),\n161\t document_count: 100,\n162\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n163\t };\n164\t\n165\t let divergent = reconciler.diff_fingerprints(&fp, &fp);\n166\t assert!(divergent.is_empty(), \"identical fingerprints should have no divergence\");\n167\t}\n168\t\n169\t#[tokio::test]\n170\tasync fn test_diff_fingerprints_divergent_buckets() {\n171\t // Test diff with divergent buckets\n172\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n173\t let reconciler = AntiEntropyReconciler::::new(\n174\t AntiEntropyConfig::default(),\n175\t topology,\n176\t Arc::new(MockTestNodeClient::new()),\n177\t );\n178\t\n179\t let mut fp_a = ShardFingerprint {\n180\t shard_id: 0,\n181\t node_id: \"node-a\".to_string(),\n182\t merkle_root: \"xxh3:123\".to_string(),\n183\t document_count: 100,\n184\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n185\t };\n186\t\n187\t let mut fp_b = ShardFingerprint {\n188\t shard_id: 0,\n189\t node_id: \"node-b\".to_string(),\n190\t merkle_root: \"xxh3:456\".to_string(),\n191\t document_count: 100,\n192\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n193\t };\n194\t\n195\t // Make buckets 5, 10, 15 divergent\n196\t fp_b.bucket_hashes[5] = \"xxh3:different\".to_string();\n197\t fp_b.bucket_hashes[10] = \"xxh3:different\".to_string();\n198\t fp_b.bucket_hashes[15] = \"xxh3:different\".to_string();\n199\t\n200\t let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n201\t\n202\t assert_eq!(divergent.len(), 3);\n203\t assert!(divergent.contains(&5));\n204\t assert!(divergent.contains(&10));\n205\t assert!(divergent.contains(&15));\n206\t}\n207\t\n208\t#[tokio::test]\n209\tasync fn test_fetch_bucket_pks_filters_by_bucket() {\n210\t // Test that fetch_bucket_pks only returns PKs in the target bucket\n211\t let doc1 = json!({ \"id\": \"key-1\", \"title\": \"Doc 1\", \"_miroir_shard\": 0 });\n212\t let doc2 = json!({ \"id\": \"key-2\", \"title\": \"Doc 2\", \"_miroir_shard\": 0 });\n213\t let doc3 = json!({ \"id\": \"key-3\", \"title\": \"Doc 3\", \"_miroir_shard\": 0 });\n214\t\n215\t // Determine which bucket each key belongs to\n216\t let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n217\t let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");\n218\t let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");\n219\t\n220\t let mut mock_client = MockTestNodeClient::new();\n221\t mock_client.expect_fetch_documents().returning({\n222\t let mut call_count = 0;\n223\t move |_, _, req| {\n224\t let docs = match call_count {\n225\t 0 => vec![doc1.clone(), doc2.clone(), doc3.clone()],\n226\t _ => vec![],\n227\t };\n228\t call_count += 1;\n229\t\n230\t Ok(FetchDocumentsResponse {\n231\t results: docs,\n232\t limit: req.limit,\n233\t offset: req.offset,\n234\t total: 3,\n235\t })\n236\t }\n237\t });\n238\t\n239\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n240\t let reconciler = AntiEntropyReconciler::new(\n241\t AntiEntropyConfig::default(),\n242\t topology,\n243\t Arc::new(mock_client),\n244\t );\n245\t\n246\t let node_id = NodeId::new(\"node-1\".to_string());\n247\t\n248\t // Fetch PKs for bucket_1 - should only contain key-1\n249\t let result = reconciler\n250\t .fetch_bucket_pks(&node_id, 0, bucket_1, \"test_index\", \"http://localhost\")\n251\t .await\n252\t .unwrap();\n253\t\n254\t assert_eq!(result.len(), 1);\n255\t assert!(result.contains_key(\"key-1\"));\n256\t assert!(!result.contains_key(\"key-2\"));\n257\t assert!(!result.contains_key(\"key-3\"));\n258\t}\n259\t\n260\t#[tokio::test]\n261\tasync fn test_compare_bucket_replicas_no_divergence() {\n262\t // Test comparing identical buckets\n263\t let doc = json!({ \"id\": \"key-1\", \"title\": \"Same\", \"_miroir_shard\": 0 });\n264\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n265\t\n266\t let mut mock_client = MockTestNodeClient::new();\n267\t mock_client.expect_fetch_documents().returning({\n268\t let mut call_count = 0;\n269\t move |_, _, req| {\n270\t let docs = if call_count < 2 { vec![doc.clone()] } else { vec![] };\n271\t call_count += 1;\n272\t\n273\t Ok(FetchDocumentsResponse {\n274\t results: docs,\n275\t limit: req.limit,\n276\t offset: req.offset,\n277\t total: 1,\n278\t })\n279\t }\n280\t });\n281\t\n282\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n283\t let reconciler = AntiEntropyReconciler::new(\n284\t AntiEntropyConfig::default(),\n285\t topology,\n286\t Arc::new(mock_client),\n287\t );\n288\t\n289\t let node_a = NodeId::new(\"node-a\".to_string());\n290\t let node_b = NodeId::new(\"node-b\".to_string());\n291\t\n292\t let diff = reconciler\n293\t .compare_bucket_replicas(\n294\t 0,\n295\t bucket_id,\n296\t &node_a,\n297\t \"http://localhost\",\n298\t &node_b,\n299\t \"http://localhost\",\n300\t \"test_index\",\n301\t )\n302\t .await\n303\t .unwrap();\n304\t\n305\t assert_eq!(diff.shard_id, 0);\n306\t assert!(diff.a_only_pks.is_empty());\n307\t assert!(diff.b_only_pks.is_empty());\n308\t assert!(diff.mismatched_pks.is_empty());\n309\t}\n310\t\n311\t#[tokio::test]\n312\tasync fn test_compare_bucket_replicas_a_only() {\n313\t // Test PK only exists on replica A\n314\t let doc_a = json!({ \"id\": \"key-only-a\", \"title\": \"Only A\", \"_miroir_shard\": 0 });\n315\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");\n316\t\n317\t let mut mock_client = MockTestNodeClient::new();\n318\t mock_client.expect_fetch_documents().returning({\n319\t let mut call_count = 0;\n320\t move |_, _, req| {\n321\t // Node A has the doc, node B doesn't\n322\t let has_doc = call_count == 0;\n323\t let docs = if has_doc { vec![doc_a.clone()] } else { vec![] };\n324\t call_count += 1;\n325\t\n326\t Ok(FetchDocumentsResponse {\n327\t results: docs,\n328\t limit: req.limit,\n329\t offset: req.offset,\n330\t total: if has_doc { 1 } else { 0 },\n331\t })\n332\t }\n333\t });\n334\t\n335\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n336\t let reconciler = AntiEntropyReconciler::new(\n337\t AntiEntropyConfig::default(),\n338\t topology,\n339\t Arc::new(mock_client),\n340\t );\n341\t\n342\t let node_a = NodeId::new(\"node-a\".to_string());\n343\t let node_b = NodeId::new(\"node-b\".to_string());\n344\t\n345\t let diff = reconciler\n346\t .compare_bucket_replicas(\n347\t 0,\n348\t bucket_id,\n349\t &node_a,\n350\t \"http://localhost\",\n351\t &node_b,\n352\t \"http://localhost\",\n353\t \"test_index\",\n354\t )\n355\t .await\n356\t .unwrap();\n357\t\n358\t assert_eq!(diff.a_only_pks.len(), 1);\n359\t assert_eq!(diff.a_only_pks[0], \"key-only-a\");\n360\t assert!(diff.b_only_pks.is_empty());\n361\t assert!(diff.mismatched_pks.is_empty());\n362\t}\n363\t\n364\t#[tokio::test]\n365\tasync fn test_compare_bucket_replicas_b_only() {\n366\t // Test PK only exists on replica B\n367\t let doc_b = json!({ \"id\": \"key-only-b\", \"title\": \"Only B\", \"_miroir_shard\": 0 });\n368\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");\n369\t\n370\t let mut mock_client = MockTestNodeClient::new();\n371\t mock_client.expect_fetch_documents().returning({\n372\t let mut call_count = 0;\n373\t move |_, _, req| {\n374\t // Node B has the doc, node A doesn't\n375\t let has_doc = call_count == 1;\n376\t let docs = if has_doc { vec![doc_b.clone()] } else { vec![] };\n377\t call_count += 1;\n378\t\n379\t Ok(FetchDocumentsResponse {\n380\t results: docs,\n381\t limit: req.limit,\n382\t offset: req.offset,\n383\t total: if has_doc { 1 } else { 0 },\n384\t })\n385\t }\n386\t });\n387\t\n388\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n389\t let reconciler = AntiEntropyReconciler::new(\n390\t AntiEntropyConfig::default(),\n391\t topology,\n392\t Arc::new(mock_client),\n393\t );\n394\t\n395\t let node_a = NodeId::new(\"node-a\".to_string());\n396\t let node_b = NodeId::new(\"node-b\".to_string());\n397\t\n398\t let diff = reconciler\n399\t .compare_bucket_replicas(\n400\t 0,\n401\t bucket_id,\n402\t &node_a,\n403\t \"http://localhost\",\n404\t &node_b,\n405\t \"http://localhost\",\n406\t \"test_index\",\n407\t )\n408\t .await\n409\t .unwrap();\n410\t\n411\t assert!(diff.a_only_pks.is_empty());\n412\t assert_eq!(diff.b_only_pks.len(), 1);\n413\t assert_eq!(diff.b_only_pks[0], \"key-only-b\");\n414\t assert!(diff.mismatched_pks.is_empty());\n415\t}\n416\t\n417\t#[tokio::test]\n418\tasync fn test_compare_bucket_replicas_mismatched_content() {\n419\t // Test same PK but different content (different content hash)\n420\t let doc_a = json!({ \"id\": \"key-mismatch\", \"title\": \"Version A\", \"_miroir_shard\": 0 });\n421\t let doc_b = json!({ \"id\": \"key-mismatch\", \"title\": \"Version B\", \"_miroir_shard\": 0 });\n422\t let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");\n423\t\n424\t let mut mock_client = MockTestNodeClient::new();\n425\t mock_client.expect_fetch_documents().returning({\n426\t let mut call_count = 0;\n427\t move |_, _, req| {\n428\t let docs = match call_count {\n429\t 0 => vec![doc_a.clone()],\n430\t 1 => vec![doc_b.clone()],\n431\t _ => vec![],\n432\t };\n433\t call_count += 1;\n434\t\n435\t Ok(FetchDocumentsResponse {\n436\t results: docs,\n437\t limit: req.limit,\n438\t offset: req.offset,\n439\t total: 1,\n440\t })\n441\t }\n442\t });\n443\t\n444\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n445\t let reconciler = AntiEntropyReconciler::new(\n446\t AntiEntropyConfig::default(),\n447\t topology,\n448\t Arc::new(mock_client),\n449\t );\n450\t\n451\t let node_a = NodeId::new(\"node-a\".to_string());\n452\t let node_b = NodeId::new(\"node-b\".to_string());\n453\t\n454\t let diff = reconciler\n455\t .compare_bucket_replicas(\n456\t 0,\n457\t bucket_id,\n458\t &node_a,\n459\t \"http://localhost\",\n460\t &node_b,\n461\t \"http://localhost\",\n462\t \"test_index\",\n463\t )\n464\t .await\n465\t .unwrap();\n466\t\n467\t assert!(diff.a_only_pks.is_empty());\n468\t assert!(diff.b_only_pks.is_empty());\n469\t assert_eq!(diff.mismatched_pks.len(), 1);\n470\t assert_eq!(diff.mismatched_pks[0], \"key-mismatch\");\n471\t}\n472\t\n473\t#[tokio::test]\n474\tasync fn test_diff_fingerprints_isolates_divergence() {\n475\t // Test that divergent buckets isolate to ~0.4% of PK space\n476\t let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n477\t let reconciler = AntiEntropyReconciler::::new(\n478\t AntiEntropyConfig::default(),\n479\t topology,\n480\t Arc::new(MockTestNodeClient::new()),\n481\t );\n482\t\n483\t // Create a fingerprint with 100 divergent buckets\n484\t let mut fp_a = ShardFingerprint {\n485\t shard_id: 0,\n486\t node_id: \"node-a\".to_string(),\n487\t merkle_root: \"xxh3:123\".to_string(),\n488\t document_count: 10000,\n489\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n490\t };\n491\t\n492\t let mut fp_b = ShardFingerprint {\n493\t shard_id: 0,\n494\t node_id: \"node-b\".to_string(),\n495\t merkle_root: \"xxh3:456\".to_string(),\n496\t document_count: 10000,\n497\t bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n498\t };\n499\t\n500\t // Make 100 buckets divergent\n501\t for i in 0..100 {\n502\t fp_b.bucket_hashes[i] = format!(\"xxh3:divergent-{}\", i);\n503\t }\n504\t\n505\t let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n506\t\n507\t assert_eq!(divergent.len(), 100);\n508\t\n509\t // Each divergent bucket represents ~1/256 (≈0.4%) of PK space\n510\t // 100 buckets ≈ 39% of total PK space\n511\t let isolation_ratio = divergent.len() as f64 / BUCKET_COUNT as f64;\n512\t assert!((isolation_ratio - (100.0 / 256.0)).abs() < 0.01);\n513\t}\n514\t\n515\t#[tokio::test]\n516\tasync fn test_bucket_count_constant() {\n517\t // Verify BUCKET_COUNT is 256 as specified in the plan\n518\t assert_eq!(BUCKET_COUNT, 256);\n519\t}\n520\t"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"5f950df3-13d3-45c8-a156-1f795fccb9f0","timestamp":"2026-05-23T12:49:02.381Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/miroir/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs","content":"//! P5.8.b: Anti-entropy diff step integration tests.\n//!\n//! Tests the diff step (plan §13.8 step 2):\n//! - Per-bucket (pk-hash % 256) digest computation\n//! - Divergent bucket identification\n//! - Divergent primary key enumeration within buckets\n//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n\nuse miroir_core::anti_entropy::{\n AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n};\nuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\nuse miroir_core::topology::{Node, NodeId, Topology};\nuse serde_json::json;\nuse std::collections::HashMap;\nuse std::sync::Arc;\nuse tokio::sync::RwLock;\n\nmockall::mock! {\n pub TestNodeClient {}\n impl NodeClient for TestNodeClient {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::SearchRequest,\n ) -> std::result::Result;\n\n async fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result;\n\n async fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::WriteRequest,\n ) -> std::result::Result;\n\n async fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::DeleteByIdsRequest,\n ) -> std::result::Result;\n\n async fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::DeleteByFilterRequest,\n ) -> std::result::Result;\n\n async fn fetch_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &FetchDocumentsRequest,\n ) -> std::result::Result;\n }\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_deterministic() {\n // Test that bucket assignment is deterministic\n let pk = \"test-primary-key-123\";\n let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n\n assert_eq!(bucket1, bucket2, \"bucket assignment should be deterministic\");\n assert!(bucket1 < BUCKET_COUNT, \"bucket ID should be in range\");\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_distributes() {\n // Test that different keys distribute across buckets\n let mut buckets = std::collections::HashSet::new();\n\n for i in 0..1000 {\n let pk = format!(\"key-{}\", i);\n let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);\n buckets.insert(bucket);\n }\n\n // With 1000 keys and 256 buckets, we should hit many buckets\n // (statistically, almost all of them)\n assert!(buckets.len() > 200, \"keys should distribute across many buckets\");\n}\n\n#[tokio::test]\nasync fn test_fingerprint_shard_includes_bucket_hashes() {\n // Test that fingerprinting now computes per-bucket hashes\n let doc1 = json!({\n \"id\": \"doc-1\",\n \"title\": \"First\",\n \"_miroir_shard\": 0,\n });\n\n let doc2 = json!({\n \"id\": \"doc-2\",\n \"title\": \"Second\",\n \"_miroir_shard\": 0,\n });\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = match call_count {\n 0 => vec![doc1.clone(), doc2.clone()],\n _ => vec![],\n };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 2,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_id = NodeId::new(\"node-1\".to_string());\n let result = reconciler\n .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT);\n // Each bucket hash should be a valid xxh3 hash string\n for bucket_hash in &result.bucket_hashes {\n assert!(bucket_hash.starts_with(\"xxh3:\"));\n }\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_identical() {\n // Test diff with identical fingerprints (no divergence)\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(MockTestNodeClient::new()),\n );\n\n let fp = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-1\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let divergent = reconciler.diff_fingerprints(&fp, &fp);\n assert!(divergent.is_empty(), \"identical fingerprints should have no divergence\");\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_divergent_buckets() {\n // Test diff with divergent buckets\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(MockTestNodeClient::new()),\n );\n\n let mut fp_a = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-a\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let mut fp_b = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-b\".to_string(),\n merkle_root: \"xxh3:456\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n // Make buckets 5, 10, 15 divergent\n fp_b.bucket_hashes[5] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[10] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[15] = \"xxh3:different\".to_string();\n\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n\n assert_eq!(divergent.len(), 3);\n assert!(divergent.contains(&5));\n assert!(divergent.contains(&10));\n assert!(divergent.contains(&15));\n}\n\n#[tokio::test]\nasync fn test_fetch_bucket_pks_filters_by_bucket() {\n // Test that fetch_bucket_pks only returns PKs in the target bucket\n let doc1 = json!({ \"id\": \"key-1\", \"title\": \"Doc 1\", \"_miroir_shard\": 0 });\n let doc2 = json!({ \"id\": \"key-2\", \"title\": \"Doc 2\", \"_miroir_shard\": 0 });\n let doc3 = json!({ \"id\": \"key-3\", \"title\": \"Doc 3\", \"_miroir_shard\": 0 });\n\n // Determine which bucket each key belongs to\n let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");\n let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = match call_count {\n 0 => vec![doc1.clone(), doc2.clone(), doc3.clone()],\n _ => vec![],\n };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 3,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_id = NodeId::new(\"node-1\".to_string());\n\n // Fetch PKs for bucket_1 - should only contain key-1\n let result = reconciler\n .fetch_bucket_pks(&node_id, 0, bucket_1, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.len(), 1);\n assert!(result.contains_key(\"key-1\"));\n assert!(!result.contains_key(\"key-2\"));\n assert!(!result.contains_key(\"key-3\"));\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_no_divergence() {\n // Test comparing identical buckets\n let doc = json!({ \"id\": \"key-1\", \"title\": \"Same\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = if call_count < 2 { vec![doc.clone()] } else { vec![] };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 1,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.shard_id, 0);\n assert!(diff.a_only_pks.is_empty());\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_a_only() {\n // Test PK only exists on replica A\n let doc_a = json!({ \"id\": \"key-only-a\", \"title\": \"Only A\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n // Node A has the doc, node B doesn't\n let has_doc = call_count == 0;\n let docs = if has_doc { vec![doc_a.clone()] } else { vec![] };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: if has_doc { 1 } else { 0 },\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.a_only_pks.len(), 1);\n assert_eq!(diff.a_only_pks[0], \"key-only-a\");\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_b_only() {\n // Test PK only exists on replica B\n let doc_b = json!({ \"id\": \"key-only-b\", \"title\": \"Only B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n // Node B has the doc, node A doesn't\n let has_doc = call_count == 1;\n let docs = if has_doc { vec![doc_b.clone()] } else { vec![] };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: if has_doc { 1 } else { 0 },\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n assert_eq!(diff.b_only_pks.len(), 1);\n assert_eq!(diff.b_only_pks[0], \"key-only-b\");\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_mismatched_content() {\n // Test same PK but different content (different content hash)\n let doc_a = json!({ \"id\": \"key-mismatch\", \"title\": \"Version A\", \"_miroir_shard\": 0 });\n let doc_b = json!({ \"id\": \"key-mismatch\", \"title\": \"Version B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = match call_count {\n 0 => vec![doc_a.clone()],\n 1 => vec![doc_b.clone()],\n _ => vec![],\n };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 1,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n 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P5.8.b: Anti-entropy diff step integration tests.\\n//!\\n//! Tests the diff step (plan §13.8 step 2):\\n//! - Per-bucket (pk-hash % 256) digest computation\\n//! - Divergent bucket identification\\n//! - Divergent primary key enumeration within buckets\\n//! - Reused by §13.1 reshard verify with PK-keyed bucketing\\n\\nuse miroir_core::anti_entropy::{\\n AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\\n};\\nuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\\nuse miroir_core::topology::{Node, NodeId, Topology};\\nuse serde_json::json;\\nuse std::collections::HashMap;\\nuse std::sync::Arc;\\nuse tokio::sync::RwLock;\\n\\n/// Test-specific node client that returns predefined responses.\\n#[derive(Clone)]\\nstruct TestNodeClient {\\n responses: Arc>>>,\\n}\\n\\nimpl TestNodeClient {\\n fn new() -> Self {\\n Self {\\n responses: Arc::new(std::sync::Mutex::new(HashMap::new())),\\n }\\n }\\n\\n fn set_response(&self, node_id: &NodeId, docs: Vec) {\\n self.responses.lock().unwrap().insert(node_id.clone(), docs);\\n }\\n}\\n\\nimpl Default for TestNodeClient {\\n fn default() -> Self {\\n Self::new()\\n }\\n}\\n\\nimpl NodeClient for TestNodeClient {\\n fn search_node(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &miroir_core::scatter::SearchRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(json!({\\\"hits\\\": [], \\\"estimatedTotalHits\\\": 0, \\\"processingTimeMs\\\": 0}))\\n }\\n }\\n\\n fn preflight_node(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &miroir_core::scatter::PreflightRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(miroir_core::scatter::PreflightResponse {\\n total_docs: 0,\\n avg_doc_length: 0.0,\\n term_stats: HashMap::new(),\\n })\\n }\\n }\\n\\n fn write_documents(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &miroir_core::scatter::WriteRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(miroir_core::scatter::WriteResponse {\\n success: true,\\n task_uid: None,\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n fn delete_documents(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &miroir_core::scatter::DeleteByIdsRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(miroir_core::scatter::DeleteResponse {\\n success: true,\\n task_uid: None,\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n fn delete_documents_by_filter(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &miroir_core::scatter::DeleteByFilterRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(miroir_core::scatter::DeleteResponse {\\n success: true,\\n task_uid: None,\\n message: None,\\n code: None,\\n error_type: None,\\n })\\n }\\n }\\n\\n fn fetch_documents(\\n &self,\\n node: &NodeId,\\n _address: &str,\\n request: &FetchDocumentsRequest,\\n ) -> impl std::future::Future> + Send {\\n let responses = self.responses.clone();\\n let node = node.clone();\\n async move {\\n let docs = responses.lock().unwrap().get(&node).cloned().unwrap_or_default();\\n let total = docs.len() as u64;\\n\\n // Apply pagination\\n let start = request.offset as usize;\\n let end = (start + request.limit as usize).min(docs.len());\\n let page = if start < docs.len() {\\n docs[start..end].to_vec()\\n } else {\\n vec![]\\n };\\n\\n Ok(FetchDocumentsResponse {\\n results: page,\\n limit: request.limit,\\n offset: request.offset,\\n total,\\n })\\n }\\n }\\n\\n fn get_task_status(\\n &self,\\n _node: &NodeId,\\n _address: &str,\\n _request: &miroir_core::scatter::TaskStatusRequest,\\n ) -> impl std::future::Future> + Send {\\n async move {\\n Ok(miroir_core::scatter::TaskStatusResponse {\\n task_uid: _request.task_uid,\\n status: \\\"succeeded\\\".to_string(),\\n error: None,\\n error_type: None,\\n })\\n }\\n }\\n}\\n\\n#[tokio::test]\\nasync fn test_bucket_for_primary_key_deterministic() {\\n // Test that bucket assignment is deterministic\\n let pk = \\\"test-primary-key-123\\\";\\n let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\\n let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\\n\\n assert_eq!(bucket1, bucket2, \\\"bucket assignment should be deterministic\\\");\\n assert!(bucket1 < BUCKET_COUNT, \\\"bucket ID should be in range\\\");\\n}\\n\\n#[tokio::test]\\nasync fn test_bucket_for_primary_key_distributes() {\\n // Test that different keys distribute across buckets\\n let mut buckets = std::collections::HashSet::new();\\n\\n for i in 0..1000 {\\n let pk = format!(\\\"key-{}\\\", i);\\n let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);\\n buckets.insert(bucket);\\n }\\n\\n // With 1000 keys and 256 buckets, we should hit many buckets\\n // (statistically, almost all of them)\\n assert!(buckets.len() > 200, \\\"keys should distribute across many buckets\\\");\\n}\\n\\n#[tokio::test]\\nasync fn test_fingerprint_shard_includes_bucket_hashes() {\\n // Test that fingerprinting now computes per-bucket hashes\\n let doc1 = json!({\\n \\\"id\\\": \\\"doc-1\\\",\\n \\\"title\\\": \\\"First\\\",\\n \\\"_miroir_shard\\\": 0,\\n });\\n\\n let doc2 = json!({\\n \\\"id\\\": \\\"doc-2\\\",\\n \\\"title\\\": \\\"Second\\\",\\n \\\"_miroir_shard\\\": 0,\\n });\\n\\n let mock_client = TestNodeClient::new();\\n let node_id = NodeId::new(\\\"node-1\\\".to_string());\\n mock_client.set_response(&node_id, vec![doc1, doc2]);\\n\\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\\n let reconciler = AntiEntropyReconciler::new(\\n AntiEntropyConfig::default(),\\n topology,\\n Arc::new(mock_client),\\n );\\n\\n let result = reconciler\\n .fingerprint_shard(&node_id, 0, \\\"test_index\\\", \\\"http://localhost\\\")\\n .await\\n .unwrap();\\n\\n assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT);\\n // Each bucket hash should be a valid xxh3 hash string\\n for bucket_hash in &result.bucket_hashes {\\n assert!(bucket_hash.starts_with(\\\"xxh3:\\\"));\\n }\\n}\\n\\n#[tokio::test]\\nasync fn test_diff_fingerprints_identical() {\\n // Test diff with identical fingerprints (no divergence)\\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\\n let reconciler = AntiEntropyReconciler::::new(\\n AntiEntropyConfig::default(),\\n topology,\\n Arc::new(TestNodeClient::new()),\\n );\\n\\n let fp = ShardFingerprint {\\n shard_id: 0,\\n node_id: \\\"node-1\\\".to_string(),\\n merkle_root: \\\"xxh3:123\\\".to_string(),\\n document_count: 100,\\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \\\"xxh3:abc\\\".to_string()).collect(),\\n };\\n\\n let divergent = reconciler.diff_fingerprints(&fp, &fp);\\n assert!(divergent.is_empty(), \\\"identical fingerprints should have no divergence\\\");\\n}\\n\\n#[tokio::test]\\nasync fn test_diff_fingerprints_divergent_buckets() {\\n // Test diff with divergent buckets\\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\\n let reconciler = AntiEntropyReconciler::::new(\\n AntiEntropyConfig::default(),\\n topology,\\n Arc::new(TestNodeClient::new()),\\n );\\n\\n let mut fp_a = ShardFingerprint {\\n shard_id: 0,\\n node_id: \\\"node-a\\\".to_string(),\\n merkle_root: \\\"xxh3:123\\\".to_string(),\\n document_count: 100,\\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \\\"xxh3:abc\\\".to_string()).collect(),\\n };\\n\\n let mut fp_b = ShardFingerprint {\\n shard_id: 0,\\n node_id: \\\"node-b\\\".to_string(),\\n merkle_root: \\\"xxh3:456\\\".to_string(),\\n document_count: 100,\\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \\\"xxh3:abc\\\".to_string()).collect(),\\n };\\n\\n // Make buckets 5, 10, 15 divergent\\n fp_b.bucket_hashes[5] = \\\"xxh3:different\\\".to_string();\\n fp_b.bucket_hashes[10] = \\\"xxh3:different\\\".to_string();\\n fp_b.bucket_hashes[15] = \\\"xxh3:different\\\".to_string();\\n\\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\\n\\n assert_eq!(divergent.len(), 3);\\n assert!(divergent.contains(&5));\\n assert!(divergent.contains(&10));\\n assert!(divergent.contains(&15));\\n}\\n\\n#[tokio::test]\\nasync fn test_fetch_bucket_pks_filters_by_bucket() {\\n // Test that fetch_bucket_pks only returns PKs in the target bucket\\n let doc1 = json!({ \\\"id\\\": \\\"key-1\\\", \\\"title\\\": \\\"Doc 1\\\", \\\"_miroir_shard\\\": 0 });\\n let doc2 = json!({ \\\"id\\\": \\\"key-2\\\", \\\"title\\\": \\\"Doc 2\\\", \\\"_miroir_shard\\\": 0 });\\n let doc3 = json!({ \\\"id\\\": \\\"key-3\\\", \\\"title\\\": \\\"Doc 3\\\", \\\"_miroir_shard\\\": 0 });\\n\\n // Determine which bucket each key belongs to\\n let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\\\"key-1\\\");\\n let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\\\"key-2\\\");\\n let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\\\"key-3\\\");\\n\\n let mock_client = TestNodeClient::new();\\n let node_id = NodeId::new(\\\"node-1\\\".to_string());\\n mock_client.set_response(&node_id, vec![doc1, doc2, doc3]);\\n\\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\\n let reconciler = AntiEntropyReconciler::new(\\n AntiEntropyConfig::default(),\\n topology,\\n Arc::new(mock_client),\\n );\\n\\n // Fetch PKs for bucket_1 - should only contain key-1\\n let result = reconciler\\n .fetch_bucket_pks(&node_id, 0, bucket_1, \\\"test_index\\\", \\\"http://localhost\\\")\\n .await\\n .unwrap();\\n\\n assert_eq!(result.len(), 1);\\n assert!(result.contains_key(\\\"key-1\\\"));\\n assert!(!result.contains_key(\\\"key-2\\\"));\\n assert!(!result.contains_key(\\\"key-3\\\"));\\n}\\n\\n#[tokio::test]\\nasync fn test_compare_bucket_replicas_no_divergence() {\\n // Test comparing identical buckets\\n let doc = json!({ \\\"id\\\": \\\"key-1\\\", \\\"title\\\": \\\"Same\\\", \\\"_miroir_shard\\\": 0 });\\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\\\"key-1\\\");\\n\\n let mock_client = TestNodeClient::new();\\n let node_a = NodeId::new(\\\"node-a\\\".to_string());\\n let node_b = NodeId::new(\\\"node-b\\\".to_string());\\n mock_client.set_response(&node_a, vec![doc.clone()]);\\n mock_client.set_response(&node_b, vec![doc]);\\n\\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\\n let reconciler = AntiEntropyReconciler::new(\\n AntiEntropyConfig::default(),\\n topology,\\n Arc::new(mock_client),\\n );\\n\\n let diff = reconciler\\n .compare_bucket_replicas(\\n 0,\\n bucket_id,\\n &node_a,\\n \\\"http://localhost\\\",\\n &node_b,\\n \\\"http://localhost\\\",\\n \\\"test_index\\\",\\n )\\n .await\\n .unwrap();\\n\\n assert_eq!(diff.shard_id, 0);\\n assert!(diff.a_only_pks.is_empty());\\n assert!(diff.b_only_pks.is_empty());\\n assert!(diff.mismatched_pks.is_empty());\\n}\\n\\n#[tokio::test]\\nasync fn test_compare_bucket_replicas_a_only() {\\n // Test PK only exists on replica A\\n let doc_a = json!({ \\\"id\\\": \\\"key-only-a\\\", \\\"title\\\": \\\"Only A\\\", \\\"_miroir_shard\\\": 0 });\\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\\\"key-only-a\\\");\\n\\n let mock_client = TestNodeClient::new();\\n let node_a = NodeId::new(\\\"node-a\\\".to_string());\\n let node_b = NodeId::new(\\\"node-b\\\".to_string());\\n mock_client.set_response(&node_a, vec![doc_a]);\\n // Node B has no documents\\n\\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\\n let reconciler = AntiEntropyReconciler::new(\\n AntiEntropyConfig::default(),\\n topology,\\n Arc::new(mock_client),\\n );\\n\\n let diff = reconciler\\n .compare_bucket_replicas(\\n 0,\\n bucket_id,\\n &node_a,\\n \\\"http://localhost\\\",\\n &node_b,\\n \\\"http://localhost\\\",\\n \\\"test_index\\\",\\n )\\n .await\\n .unwrap();\\n\\n assert_eq!(diff.a_only_pks.len(), 1);\\n assert_eq!(diff.a_only_pks[0], \\\"key-only-a\\\");\\n assert!(diff.b_only_pks.is_empty());\\n assert!(diff.mismatched_pks.is_empty());\\n}\\n\\n#[tokio::test]\\nasync fn test_compare_bucket_replicas_b_only() {\\n // Test PK only exists on replica B\\n let doc_b = json!({ \\\"id\\\": \\\"key-only-b\\\", \\\"title\\\": \\\"Only B\\\", \\\"_miroir_shard\\\": 0 });\\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\\\"key-only-b\\\");\\n\\n let mock_client = TestNodeClient::new();\\n let node_a = NodeId::new(\\\"node-a\\\".to_string());\\n let node_b = NodeId::new(\\\"node-b\\\".to_string());\\n // Node A has no documents\\n mock_client.set_response(&node_b, vec![doc_b]);\\n\\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\\n let reconciler = AntiEntropyReconciler::new(\\n AntiEntropyConfig::default(),\\n topology,\\n Arc::new(mock_client),\\n );\\n\\n let diff = reconciler\\n .compare_bucket_replicas(\\n 0,\\n bucket_id,\\n &node_a,\\n \\\"http://localhost\\\",\\n &node_b,\\n \\\"http://localhost\\\",\\n \\\"test_index\\\",\\n )\\n .await\\n .unwrap();\\n\\n assert!(diff.a_only_pks.is_empty());\\n assert_eq!(diff.b_only_pks.len(), 1);\\n assert_eq!(diff.b_only_pks[0], \\\"key-only-b\\\");\\n assert!(diff.mismatched_pks.is_empty());\\n}\\n\\n#[tokio::test]\\nasync fn test_compare_bucket_replicas_mismatched_content() {\\n // Test same PK but different content (different content hash)\\n let doc_a = json!({ \\\"id\\\": \\\"key-mismatch\\\", \\\"title\\\": \\\"Version A\\\", \\\"_miroir_shard\\\": 0 });\\n let doc_b = json!({ \\\"id\\\": \\\"key-mismatch\\\", \\\"title\\\": \\\"Version B\\\", \\\"_miroir_shard\\\": 0 });\\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\\\"key-mismatch\\\");\\n\\n let mock_client = TestNodeClient::new();\\n let node_a = NodeId::new(\\\"node-a\\\".to_string());\\n let node_b = NodeId::new(\\\"node-b\\\".to_string());\\n mock_client.set_response(&node_a, vec![doc_a]);\\n mock_client.set_response(&node_b, vec![doc_b]);\\n\\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\\n let reconciler = AntiEntropyReconciler::new(\\n AntiEntropyConfig::default(),\\n topology,\\n Arc::new(mock_client),\\n );\\n\\n let diff = reconciler\\n .compare_bucket_replicas(\\n 0,\\n bucket_id,\\n &node_a,\\n \\\"http://localhost\\\",\\n &node_b,\\n \\\"http://localhost\\\",\\n \\\"test_index\\\",\\n )\\n .await\\n .unwrap();\\n\\n assert!(diff.a_only_pks.is_empty());\\n assert!(diff.b_only_pks.is_empty());\\n assert_eq!(diff.mismatched_pks.len(), 1);\\n assert_eq!(diff.mismatched_pks[0], \\\"key-mismatch\\\");\\n}\\n\\n#[tokio::test]\\nasync fn test_diff_fingerprints_isolates_divergence() {\\n // Test that divergent buckets isolate to ~0.4% of PK space\\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\\n let reconciler = AntiEntropyReconciler::::new(\\n AntiEntropyConfig::default(),\\n topology,\\n Arc::new(TestNodeClient::new()),\\n );\\n\\n // Create a fingerprint with 100 divergent buckets\\n let mut fp_a = ShardFingerprint {\\n shard_id: 0,\\n node_id: \\\"node-a\\\".to_string(),\\n merkle_root: \\\"xxh3:123\\\".to_string(),\\n document_count: 10000,\\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \\\"xxh3:same\\\".to_string()).collect(),\\n };\\n\\n let mut fp_b = ShardFingerprint {\\n shard_id: 0,\\n node_id: \\\"node-b\\\".to_string(),\\n merkle_root: \\\"xxh3:456\\\".to_string(),\\n document_count: 10000,\\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \\\"xxh3:same\\\".to_string()).collect(),\\n };\\n\\n // Make 100 buckets divergent\\n for i in 0..100 {\\n fp_b.bucket_hashes[i] = format!(\\\"xxh3:divergent-{}\\\", i);\\n }\\n\\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\\n\\n assert_eq!(divergent.len(), 100);\\n\\n // Each divergent bucket represents ~1/256 (≈0.4%) of PK space\\n // 100 buckets ≈ 39% of total PK space\\n let isolation_ratio = divergent.len() as f64 / BUCKET_COUNT as f64;\\n assert!((isolation_ratio - (100.0 / 256.0)).abs() < 0.01);\\n}\\n\\n#[tokio::test]\\nasync fn test_bucket_count_constant() {\\n // Verify BUCKET_COUNT is 256 as specified in the plan\\n assert_eq!(BUCKET_COUNT, 256);\\n}\\n\"}"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"c839f440-6e43-4b2f-b9a4-40bb3e49e408"} +{"type":"assistant","message":{"id":"msg_202605232049068ae5e9f1e53a4759","type":"message","role":"assistant","model":"glm-4.7","content":[{"type":"tool_use","id":"call_f772154af4d549e488b39d57","name":"Write","input":{"file_path":"/home/coding/miroir/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs","content":"//! P5.8.b: Anti-entropy diff step integration tests.\n//!\n//! Tests the diff step (plan §13.8 step 2):\n//! - Per-bucket (pk-hash % 256) digest computation\n//! - Divergent bucket identification\n//! - Divergent primary key enumeration within buckets\n//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n\nuse miroir_core::anti_entropy::{\n AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n};\nuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\nuse miroir_core::topology::{Node, NodeId, Topology};\nuse serde_json::json;\nuse std::collections::HashMap;\nuse std::sync::Arc;\nuse tokio::sync::RwLock;\n\n/// Test-specific node client that returns predefined responses.\n#[derive(Clone)]\nstruct TestNodeClient {\n responses: Arc>>>,\n}\n\nimpl TestNodeClient {\n fn new() -> Self {\n Self {\n responses: Arc::new(std::sync::Mutex::new(HashMap::new())),\n }\n }\n\n fn set_response(&self, node_id: &NodeId, docs: Vec) {\n self.responses.lock().unwrap().insert(node_id.clone(), docs);\n }\n}\n\nimpl Default for TestNodeClient {\n fn default() -> Self {\n Self::new()\n }\n}\n\nimpl NodeClient for TestNodeClient {\n fn search_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::SearchRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0}))\n }\n }\n\n fn preflight_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::PreflightRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::PreflightResponse {\n total_docs: 0,\n avg_doc_length: 0.0,\n term_stats: HashMap::new(),\n })\n }\n }\n\n fn write_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::WriteRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::WriteResponse {\n success: true,\n task_uid: None,\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::DeleteResponse {\n success: true,\n task_uid: None,\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents_by_filter(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::DeleteResponse {\n success: true,\n task_uid: None,\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn fetch_documents(\n &self,\n node: &NodeId,\n _address: &str,\n request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n let responses = self.responses.clone();\n let node = node.clone();\n async move {\n let docs = responses.lock().unwrap().get(&node).cloned().unwrap_or_default();\n let total = docs.len() as u64;\n\n // Apply pagination\n let start = request.offset as usize;\n let end = (start + request.limit as usize).min(docs.len());\n let page = if start < docs.len() {\n docs[start..end].to_vec()\n } else {\n vec![]\n };\n\n Ok(FetchDocumentsResponse {\n results: page,\n limit: request.limit,\n offset: request.offset,\n total,\n })\n }\n }\n\n fn get_task_status(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::TaskStatusResponse {\n task_uid: _request.task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_deterministic() {\n // Test that bucket assignment is deterministic\n let pk = \"test-primary-key-123\";\n let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n\n assert_eq!(bucket1, bucket2, \"bucket assignment should be deterministic\");\n assert!(bucket1 < BUCKET_COUNT, \"bucket ID should be in range\");\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_distributes() {\n // Test that different keys distribute across buckets\n let mut buckets = std::collections::HashSet::new();\n\n for i in 0..1000 {\n let pk = format!(\"key-{}\", i);\n let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);\n buckets.insert(bucket);\n }\n\n // With 1000 keys and 256 buckets, we should hit many buckets\n // (statistically, almost all of them)\n assert!(buckets.len() > 200, \"keys should distribute across many buckets\");\n}\n\n#[tokio::test]\nasync fn test_fingerprint_shard_includes_bucket_hashes() {\n // Test that fingerprinting now computes per-bucket hashes\n let doc1 = json!({\n \"id\": \"doc-1\",\n \"title\": \"First\",\n \"_miroir_shard\": 0,\n });\n\n let doc2 = json!({\n \"id\": \"doc-2\",\n \"title\": \"Second\",\n \"_miroir_shard\": 0,\n });\n\n let mock_client = TestNodeClient::new();\n let node_id = NodeId::new(\"node-1\".to_string());\n mock_client.set_response(&node_id, vec![doc1, doc2]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let result = reconciler\n .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT);\n // Each bucket hash should be a valid xxh3 hash string\n for bucket_hash in &result.bucket_hashes {\n assert!(bucket_hash.starts_with(\"xxh3:\"));\n }\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_identical() {\n // Test diff with identical fingerprints (no divergence)\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(TestNodeClient::new()),\n );\n\n let fp = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-1\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let divergent = reconciler.diff_fingerprints(&fp, &fp);\n assert!(divergent.is_empty(), \"identical fingerprints should have no divergence\");\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_divergent_buckets() {\n // Test diff with divergent buckets\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(TestNodeClient::new()),\n );\n\n let mut fp_a = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-a\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let mut fp_b = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-b\".to_string(),\n merkle_root: \"xxh3:456\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n // Make buckets 5, 10, 15 divergent\n fp_b.bucket_hashes[5] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[10] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[15] = \"xxh3:different\".to_string();\n\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n\n assert_eq!(divergent.len(), 3);\n assert!(divergent.contains(&5));\n assert!(divergent.contains(&10));\n assert!(divergent.contains(&15));\n}\n\n#[tokio::test]\nasync fn test_fetch_bucket_pks_filters_by_bucket() {\n // Test that fetch_bucket_pks only returns PKs in the target bucket\n let doc1 = json!({ \"id\": \"key-1\", \"title\": \"Doc 1\", \"_miroir_shard\": 0 });\n let doc2 = json!({ \"id\": \"key-2\", \"title\": \"Doc 2\", \"_miroir_shard\": 0 });\n let doc3 = json!({ \"id\": \"key-3\", \"title\": \"Doc 3\", \"_miroir_shard\": 0 });\n\n // Determine which bucket each key belongs to\n let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");\n let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");\n\n let mock_client = TestNodeClient::new();\n let node_id = NodeId::new(\"node-1\".to_string());\n mock_client.set_response(&node_id, vec![doc1, doc2, doc3]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n // Fetch PKs for bucket_1 - should only contain key-1\n let result = reconciler\n .fetch_bucket_pks(&node_id, 0, bucket_1, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.len(), 1);\n assert!(result.contains_key(\"key-1\"));\n assert!(!result.contains_key(\"key-2\"));\n assert!(!result.contains_key(\"key-3\"));\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_no_divergence() {\n // Test comparing identical buckets\n let doc = json!({ \"id\": \"key-1\", \"title\": \"Same\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n\n let mock_client = TestNodeClient::new();\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n mock_client.set_response(&node_a, vec![doc.clone()]);\n mock_client.set_response(&node_b, vec![doc]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.shard_id, 0);\n assert!(diff.a_only_pks.is_empty());\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_a_only() {\n // Test PK only exists on replica A\n let doc_a = json!({ \"id\": \"key-only-a\", \"title\": \"Only A\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");\n\n let mock_client = TestNodeClient::new();\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n mock_client.set_response(&node_a, vec![doc_a]);\n // Node B has no documents\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.a_only_pks.len(), 1);\n assert_eq!(diff.a_only_pks[0], \"key-only-a\");\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_b_only() {\n // Test PK only exists on replica B\n let doc_b = json!({ \"id\": \"key-only-b\", \"title\": \"Only B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");\n\n let mock_client = TestNodeClient::new();\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n // Node A has no documents\n mock_client.set_response(&node_b, vec![doc_b]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n assert_eq!(diff.b_only_pks.len(), 1);\n assert_eq!(diff.b_only_pks[0], \"key-only-b\");\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_mismatched_content() {\n // Test same PK but different content (different content hash)\n let doc_a = json!({ \"id\": \"key-mismatch\", \"title\": \"Version A\", \"_miroir_shard\": 0 });\n let doc_b = json!({ \"id\": \"key-mismatch\", \"title\": \"Version B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");\n\n let mock_client = TestNodeClient::new();\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n mock_client.set_response(&node_a, vec![doc_a]);\n mock_client.set_response(&node_b, vec![doc_b]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n assert!(diff.b_only_pks.is_empty());\n assert_eq!(diff.mismatched_pks.len(), 1);\n assert_eq!(diff.mismatched_pks[0], \"key-mismatch\");\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_isolates_divergence() {\n // Test that divergent buckets isolate to ~0.4% of PK space\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(TestNodeClient::new()),\n );\n\n // Create a fingerprint with 100 divergent buckets\n let mut fp_a = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-a\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 10000,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n };\n\n let mut fp_b = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-b\".to_string(),\n merkle_root: \"xxh3:456\".to_string(),\n document_count: 10000,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n };\n\n // Make 100 buckets divergent\n for i in 0..100 {\n fp_b.bucket_hashes[i] = format!(\"xxh3:divergent-{}\", i);\n }\n\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n\n assert_eq!(divergent.len(), 100);\n\n // Each divergent bucket represents ~1/256 (≈0.4%) of PK space\n // 100 buckets ≈ 39% of total PK space\n let isolation_ratio = divergent.len() as f64 / BUCKET_COUNT as f64;\n assert!((isolation_ratio - (100.0 / 256.0)).abs() < 0.01);\n}\n\n#[tokio::test]\nasync fn test_bucket_count_constant() {\n // Verify BUCKET_COUNT is 256 as specified in the plan\n assert_eq!(BUCKET_COUNT, 256);\n}\n"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"f99523f6-10b1-4f1f-9e15-751668336302"} +{"type":"stream_event","event":{"type":"content_block_stop","index":2},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"178fdf81-fc28-4cb9-9be5-af4b4be164fc"} +{"type":"stream_event","event":{"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":5602,"output_tokens":4829,"cache_read_input_tokens":93056,"server_tool_use":{"web_search_requests":0},"service_tier":"standard"}},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"50100ca1-9bcc-4449-b343-2c09406956b7"} +{"type":"stream_event","event":{"type":"message_stop"},"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","parent_tool_use_id":null,"uuid":"8342a1d7-992a-4c7e-b183-e79dddc777a2"} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_f772154af4d549e488b39d57","type":"tool_result","content":"The file /home/coding/miroir/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"10ebe93e-dbfc-4927-a9d2-ce86cc3292d0","timestamp":"2026-05-23T12:49:49.687Z","tool_use_result":{"type":"update","filePath":"/home/coding/miroir/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs","content":"//! P5.8.b: Anti-entropy diff step integration tests.\n//!\n//! Tests the diff step (plan §13.8 step 2):\n//! - Per-bucket (pk-hash % 256) digest computation\n//! - Divergent bucket identification\n//! - Divergent primary key enumeration within buckets\n//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n\nuse miroir_core::anti_entropy::{\n AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n};\nuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\nuse miroir_core::topology::{Node, NodeId, Topology};\nuse serde_json::json;\nuse std::collections::HashMap;\nuse std::sync::Arc;\nuse tokio::sync::RwLock;\n\n/// Test-specific node client that returns predefined responses.\n#[derive(Clone)]\nstruct TestNodeClient {\n responses: Arc>>>,\n}\n\nimpl TestNodeClient {\n fn new() -> Self {\n Self {\n responses: Arc::new(std::sync::Mutex::new(HashMap::new())),\n }\n }\n\n fn set_response(&self, node_id: &NodeId, docs: Vec) {\n self.responses.lock().unwrap().insert(node_id.clone(), docs);\n }\n}\n\nimpl Default for TestNodeClient {\n fn default() -> Self {\n Self::new()\n }\n}\n\nimpl NodeClient for TestNodeClient {\n fn search_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::SearchRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0}))\n }\n }\n\n fn preflight_node(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::PreflightRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::PreflightResponse {\n total_docs: 0,\n avg_doc_length: 0.0,\n term_stats: HashMap::new(),\n })\n }\n }\n\n fn write_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::WriteRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::WriteResponse {\n success: true,\n task_uid: None,\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::DeleteByIdsRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::DeleteResponse {\n success: true,\n task_uid: None,\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn delete_documents_by_filter(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::DeleteByFilterRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::DeleteResponse {\n success: true,\n task_uid: None,\n message: None,\n code: None,\n error_type: None,\n })\n }\n }\n\n fn fetch_documents(\n &self,\n node: &NodeId,\n _address: &str,\n request: &FetchDocumentsRequest,\n ) -> impl std::future::Future> + Send {\n let responses = self.responses.clone();\n let node = node.clone();\n async move {\n let docs = responses.lock().unwrap().get(&node).cloned().unwrap_or_default();\n let total = docs.len() as u64;\n\n // Apply pagination\n let start = request.offset as usize;\n let end = (start + request.limit as usize).min(docs.len());\n let page = if start < docs.len() {\n docs[start..end].to_vec()\n } else {\n vec![]\n };\n\n Ok(FetchDocumentsResponse {\n results: page,\n limit: request.limit,\n offset: request.offset,\n total,\n })\n }\n }\n\n fn get_task_status(\n &self,\n _node: &NodeId,\n _address: &str,\n _request: &miroir_core::scatter::TaskStatusRequest,\n ) -> impl std::future::Future> + Send {\n async move {\n Ok(miroir_core::scatter::TaskStatusResponse {\n task_uid: _request.task_uid,\n status: \"succeeded\".to_string(),\n error: None,\n error_type: None,\n })\n }\n }\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_deterministic() {\n // Test that bucket assignment is deterministic\n let pk = \"test-primary-key-123\";\n let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n\n assert_eq!(bucket1, bucket2, \"bucket assignment should be deterministic\");\n assert!(bucket1 < BUCKET_COUNT, \"bucket ID should be in range\");\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_distributes() {\n // Test that different keys distribute across buckets\n let mut buckets = std::collections::HashSet::new();\n\n for i in 0..1000 {\n let pk = format!(\"key-{}\", i);\n let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);\n buckets.insert(bucket);\n }\n\n // With 1000 keys and 256 buckets, we should hit many buckets\n // (statistically, almost all of them)\n assert!(buckets.len() > 200, \"keys should distribute across many buckets\");\n}\n\n#[tokio::test]\nasync fn test_fingerprint_shard_includes_bucket_hashes() {\n // Test that fingerprinting now computes per-bucket hashes\n let doc1 = json!({\n \"id\": \"doc-1\",\n \"title\": \"First\",\n \"_miroir_shard\": 0,\n });\n\n let doc2 = json!({\n \"id\": \"doc-2\",\n \"title\": \"Second\",\n \"_miroir_shard\": 0,\n });\n\n let mock_client = TestNodeClient::new();\n let node_id = NodeId::new(\"node-1\".to_string());\n mock_client.set_response(&node_id, vec![doc1, doc2]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let result = reconciler\n .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT);\n // Each bucket hash should be a valid xxh3 hash string\n for bucket_hash in &result.bucket_hashes {\n assert!(bucket_hash.starts_with(\"xxh3:\"));\n }\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_identical() {\n // Test diff with identical fingerprints (no divergence)\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(TestNodeClient::new()),\n );\n\n let fp = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-1\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let divergent = reconciler.diff_fingerprints(&fp, &fp);\n assert!(divergent.is_empty(), \"identical fingerprints should have no divergence\");\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_divergent_buckets() {\n // Test diff with divergent buckets\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(TestNodeClient::new()),\n );\n\n let mut fp_a = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-a\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let mut fp_b = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-b\".to_string(),\n merkle_root: \"xxh3:456\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n // Make buckets 5, 10, 15 divergent\n fp_b.bucket_hashes[5] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[10] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[15] = \"xxh3:different\".to_string();\n\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n\n assert_eq!(divergent.len(), 3);\n assert!(divergent.contains(&5));\n assert!(divergent.contains(&10));\n assert!(divergent.contains(&15));\n}\n\n#[tokio::test]\nasync fn test_fetch_bucket_pks_filters_by_bucket() {\n // Test that fetch_bucket_pks only returns PKs in the target bucket\n let doc1 = json!({ \"id\": \"key-1\", \"title\": \"Doc 1\", \"_miroir_shard\": 0 });\n let doc2 = json!({ \"id\": \"key-2\", \"title\": \"Doc 2\", \"_miroir_shard\": 0 });\n let doc3 = json!({ \"id\": \"key-3\", \"title\": \"Doc 3\", \"_miroir_shard\": 0 });\n\n // Determine which bucket each key belongs to\n let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");\n let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");\n\n let mock_client = TestNodeClient::new();\n let node_id = NodeId::new(\"node-1\".to_string());\n mock_client.set_response(&node_id, vec![doc1, doc2, doc3]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n // Fetch PKs for bucket_1 - should only contain key-1\n let result = reconciler\n .fetch_bucket_pks(&node_id, 0, bucket_1, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.len(), 1);\n assert!(result.contains_key(\"key-1\"));\n assert!(!result.contains_key(\"key-2\"));\n assert!(!result.contains_key(\"key-3\"));\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_no_divergence() {\n // Test comparing identical buckets\n let doc = json!({ \"id\": \"key-1\", \"title\": \"Same\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n\n let mock_client = TestNodeClient::new();\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n mock_client.set_response(&node_a, vec![doc.clone()]);\n mock_client.set_response(&node_b, vec![doc]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.shard_id, 0);\n assert!(diff.a_only_pks.is_empty());\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_a_only() {\n // Test PK only exists on replica A\n let doc_a = json!({ \"id\": \"key-only-a\", \"title\": \"Only A\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");\n\n let mock_client = TestNodeClient::new();\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n mock_client.set_response(&node_a, vec![doc_a]);\n // Node B has no documents\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.a_only_pks.len(), 1);\n assert_eq!(diff.a_only_pks[0], \"key-only-a\");\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_b_only() {\n // Test PK only exists on replica B\n let doc_b = json!({ \"id\": \"key-only-b\", \"title\": \"Only B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");\n\n let mock_client = TestNodeClient::new();\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n // Node A has no documents\n mock_client.set_response(&node_b, vec![doc_b]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n assert_eq!(diff.b_only_pks.len(), 1);\n assert_eq!(diff.b_only_pks[0], \"key-only-b\");\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_mismatched_content() {\n // Test same PK but different content (different content hash)\n let doc_a = json!({ \"id\": \"key-mismatch\", \"title\": \"Version A\", \"_miroir_shard\": 0 });\n let doc_b = json!({ \"id\": \"key-mismatch\", \"title\": \"Version B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");\n\n let mock_client = TestNodeClient::new();\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n mock_client.set_response(&node_a, vec![doc_a]);\n mock_client.set_response(&node_b, vec![doc_b]);\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n assert!(diff.b_only_pks.is_empty());\n assert_eq!(diff.mismatched_pks.len(), 1);\n assert_eq!(diff.mismatched_pks[0], \"key-mismatch\");\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_isolates_divergence() {\n // Test that divergent buckets isolate to ~0.4% of PK space\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(TestNodeClient::new()),\n );\n\n // Create a fingerprint with 100 divergent buckets\n let mut fp_a = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-a\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 10000,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n };\n\n let mut fp_b = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-b\".to_string(),\n merkle_root: \"xxh3:456\".to_string(),\n document_count: 10000,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:same\".to_string()).collect(),\n };\n\n // Make 100 buckets divergent\n for i in 0..100 {\n fp_b.bucket_hashes[i] = format!(\"xxh3:divergent-{}\", i);\n }\n\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n\n assert_eq!(divergent.len(), 100);\n\n // Each divergent bucket represents ~1/256 (≈0.4%) of PK space\n // 100 buckets ≈ 39% of total PK space\n let isolation_ratio = divergent.len() as f64 / BUCKET_COUNT as f64;\n assert!((isolation_ratio - (100.0 / 256.0)).abs() < 0.01);\n}\n\n#[tokio::test]\nasync fn test_bucket_count_constant() {\n // Verify BUCKET_COUNT is 256 as specified in the plan\n assert_eq!(BUCKET_COUNT, 256);\n}\n","structuredPatch":[{"oldStart":16,"oldLines":59,"newStart":16,"newLines":161,"lines":[" use std::sync::Arc;"," use tokio::sync::RwLock;"," ","-mockall::mock! {","- pub TestNodeClient {}","- impl NodeClient for TestNodeClient {","- async fn search_node(","- &self,","- node: &NodeId,","- address: &str,","- request: &miroir_core::scatter::SearchRequest,","- ) -> std::result::Result;","+/// Test-specific node client that returns predefined responses.","+#[derive(Clone)]","+struct TestNodeClient {","+ responses: Arc>>>,","+}"," ","- async fn preflight_node(","- &self,","- node: &NodeId,","- address: &str,","- request: &miroir_core::scatter::PreflightRequest,","- ) -> std::result::Result;","+impl TestNodeClient {","+ fn new() -> Self {","+ Self {","+ responses: Arc::new(std::sync::Mutex::new(HashMap::new())),","+ }","+ }"," ","- async fn write_documents(","- &self,","- node: &NodeId,","- address: &str,","- request: &miroir_core::scatter::WriteRequest,","- ) -> std::result::Result;","+ fn set_response(&self, node_id: &NodeId, docs: Vec) {","+ self.responses.lock().unwrap().insert(node_id.clone(), docs);","+ }","+}"," ","- async fn delete_documents(","- &self,","- node: &NodeId,","- address: &str,","- request: &miroir_core::scatter::DeleteByIdsRequest,","- ) -> std::result::Result;","+impl Default for TestNodeClient {","+ fn default() -> Self {","+ Self::new()","+ }","+}"," ","- async fn delete_documents_by_filter(","- &self,","- node: &NodeId,","- address: &str,","- request: &miroir_core::scatter::DeleteByFilterRequest,","- ) -> std::result::Result;","+impl NodeClient for TestNodeClient {","+ fn search_node(","+ &self,","+ _node: &NodeId,","+ _address: &str,","+ _request: &miroir_core::scatter::SearchRequest,","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(json!({\"hits\": [], \"estimatedTotalHits\": 0, \"processingTimeMs\": 0}))","+ }","+ }"," ","- async fn fetch_documents(","- &self,","- node: &NodeId,","- address: &str,","- request: &FetchDocumentsRequest,","- ) -> std::result::Result;","+ fn preflight_node(","+ &self,","+ _node: &NodeId,","+ _address: &str,","+ _request: &miroir_core::scatter::PreflightRequest,","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(miroir_core::scatter::PreflightResponse {","+ total_docs: 0,","+ avg_doc_length: 0.0,","+ term_stats: HashMap::new(),","+ })","+ }"," }","+","+ fn write_documents(","+ &self,","+ _node: &NodeId,","+ _address: &str,","+ _request: &miroir_core::scatter::WriteRequest,","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(miroir_core::scatter::WriteResponse {","+ success: true,","+ task_uid: None,","+ message: None,","+ code: None,","+ error_type: None,","+ })","+ }","+ }","+","+ fn delete_documents(","+ &self,","+ _node: &NodeId,","+ _address: &str,","+ _request: &miroir_core::scatter::DeleteByIdsRequest,","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(miroir_core::scatter::DeleteResponse {","+ success: true,","+ task_uid: None,","+ message: None,","+ code: None,","+ error_type: None,","+ })","+ }","+ }","+","+ fn delete_documents_by_filter(","+ &self,","+ _node: &NodeId,","+ _address: &str,","+ _request: &miroir_core::scatter::DeleteByFilterRequest,","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(miroir_core::scatter::DeleteResponse {","+ success: true,","+ task_uid: None,","+ message: None,","+ code: None,","+ error_type: None,","+ })","+ }","+ }","+","+ fn fetch_documents(","+ &self,","+ node: &NodeId,","+ _address: &str,","+ request: &FetchDocumentsRequest,","+ ) -> impl std::future::Future> + Send {","+ let responses = self.responses.clone();","+ let node = node.clone();","+ async move {","+ let docs = responses.lock().unwrap().get(&node).cloned().unwrap_or_default();","+ let total = docs.len() as u64;","+","+ // Apply pagination","+ let start = request.offset as usize;","+ let end = (start + request.limit as usize).min(docs.len());","+ let page = if start < docs.len() {","+ docs[start..end].to_vec()","+ } else {","+ vec![]","+ };","+","+ Ok(FetchDocumentsResponse {","+ results: page,","+ limit: request.limit,","+ offset: request.offset,","+ total,","+ })","+ }","+ }","+","+ fn get_task_status(","+ &self,","+ _node: &NodeId,","+ _address: &str,","+ _request: &miroir_core::scatter::TaskStatusRequest,","+ ) -> impl std::future::Future> + Send {","+ async move {","+ Ok(miroir_core::scatter::TaskStatusResponse {","+ task_uid: _request.task_uid,","+ status: \"succeeded\".to_string(),","+ error: None,","+ error_type: None,","+ })","+ }","+ }"," }"," "," #[tokio::test]"," async fn test_bucket_for_primary_key_deterministic() {"," // Test that bucket assignment is deterministic"," let pk = \"test-primary-key-123\";","- let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);","- let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);","+ let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);","+ let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);"," "," assert_eq!(bucket1, bucket2, \"bucket assignment should be deterministic\");"," assert!(bucket1 < BUCKET_COUNT, \"bucket ID should be in range\");"]},{"oldStart":81,"oldLines":7,"newStart":183,"newLines":7,"lines":[" "," for i in 0..1000 {"," let pk = format!(\"key-{}\", i);","- let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);","+ let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);"," buckets.insert(bucket);"," }"," "]},{"oldStart":105,"oldLines":25,"newStart":207,"newLines":10,"lines":[" \"_miroir_shard\": 0,"," });"," ","- let mut mock_client = MockTestNodeClient::new();","- mock_client.expect_fetch_documents().returning({","- let mut call_count = 0;","- move |_, _, req| {","- let docs = match call_count {","- 0 => vec![doc1.clone(), doc2.clone()],","- _ => vec![],","- };","- call_count += 1;","+ let mock_client = TestNodeClient::new();","+ let node_id = NodeId::new(\"node-1\".to_string());","+ mock_client.set_response(&node_id, vec![doc1, doc2]);"," ","- Ok(FetchDocumentsResponse {","- results: docs,","- limit: req.limit,","- offset: req.offset,","- total: 2,","- })","- }","- });","-"," let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));"," let reconciler = AntiEntropyReconciler::new("," AntiEntropyConfig::default(),"]},{"oldStart":131,"oldLines":7,"newStart":218,"newLines":6,"lines":[" Arc::new(mock_client),"," );"," ","- let node_id = NodeId::new(\"node-1\".to_string());"," let result = reconciler"," .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")"," .await"]},{"oldStart":148,"oldLines":10,"newStart":234,"newLines":10,"lines":[" async fn test_diff_fingerprints_identical() {"," // Test diff with identical fingerprints (no divergence)"," let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));","- let reconciler = AntiEntropyReconciler::::new(","+ let reconciler = AntiEntropyReconciler::::new("," AntiEntropyConfig::default(),"," topology,","- Arc::new(MockTestNodeClient::new()),","+ Arc::new(TestNodeClient::new()),"," );"," "," let fp = ShardFingerprint {"]},{"oldStart":170,"oldLines":10,"newStart":256,"newLines":10,"lines":[" async fn test_diff_fingerprints_divergent_buckets() {"," // Test diff with divergent buckets"," let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));","- let reconciler = AntiEntropyReconciler::::new(","+ let reconciler = AntiEntropyReconciler::::new("," AntiEntropyConfig::default(),"," topology,","- Arc::new(MockTestNodeClient::new()),","+ Arc::new(TestNodeClient::new()),"," );"," "," let mut fp_a = ShardFingerprint {"]},{"oldStart":213,"oldLines":29,"newStart":299,"newLines":14,"lines":[" let doc3 = json!({ \"id\": \"key-3\", \"title\": \"Doc 3\", \"_miroir_shard\": 0 });"," "," // Determine which bucket each key belongs to","- let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");","- let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");","- let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");","+ let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");","+ let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");","+ let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");"," ","- let mut mock_client = MockTestNodeClient::new();","- mock_client.expect_fetch_documents().returning({","- let mut call_count = 0;","- move |_, _, req| {","- let docs = match call_count {","- 0 => vec![doc1.clone(), doc2.clone(), doc3.clone()],","- _ => vec![],","- };","- call_count += 1;","+ let mock_client = TestNodeClient::new();","+ let node_id = NodeId::new(\"node-1\".to_string());","+ mock_client.set_response(&node_id, vec![doc1, doc2, doc3]);"," ","- Ok(FetchDocumentsResponse {","- results: docs,","- limit: req.limit,","- offset: req.offset,","- total: 3,","- })","- }","- });","-"," let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));"," let reconciler = AntiEntropyReconciler::new("," AntiEntropyConfig::default(),"]},{"oldStart":243,"oldLines":8,"newStart":314,"newLines":6,"lines":[" Arc::new(mock_client),"," );"," ","- let node_id = NodeId::new(\"node-1\".to_string());","-"," // Fetch PKs for bucket_1 - should only contain key-1"," let result = reconciler"," .fetch_bucket_pks(&node_id, 0, bucket_1, \"test_index\", \"http://localhost\")"]},{"oldStart":261,"oldLines":24,"newStart":330,"newLines":14,"lines":[" async fn test_compare_bucket_replicas_no_divergence() {"," // Test comparing identical buckets"," let doc = json!({ \"id\": \"key-1\", \"title\": \"Same\", \"_miroir_shard\": 0 });","- let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");","+ let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");"," ","- let mut mock_client = MockTestNodeClient::new();","- mock_client.expect_fetch_documents().returning({","- let mut call_count = 0;","- move |_, _, req| {","- let docs = if call_count < 2 { vec![doc.clone()] } else { vec![] };","- call_count += 1;","+ let mock_client = TestNodeClient::new();","+ let node_a = NodeId::new(\"node-a\".to_string());","+ let node_b = NodeId::new(\"node-b\".to_string());","+ mock_client.set_response(&node_a, vec![doc.clone()]);","+ mock_client.set_response(&node_b, vec![doc]);"," ","- Ok(FetchDocumentsResponse {","- results: docs,","- limit: req.limit,","- offset: req.offset,","- total: 1,","- })","- }","- });","-"," let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));"," let reconciler = AntiEntropyReconciler::new("," AntiEntropyConfig::default(),"]},{"oldStart":286,"oldLines":9,"newStart":345,"newLines":6,"lines":[" Arc::new(mock_client),"," );"," ","- let node_a = NodeId::new(\"node-a\".to_string());","- let node_b = NodeId::new(\"node-b\".to_string());","-"," let diff = reconciler"," .compare_bucket_replicas("," 0,"]},{"oldStart":312,"oldLines":26,"newStart":368,"newLines":14,"lines":[" async fn test_compare_bucket_replicas_a_only() {"," // Test PK only exists on replica A"," let doc_a = json!({ \"id\": \"key-only-a\", \"title\": \"Only A\", \"_miroir_shard\": 0 });","- let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");","+ let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");"," ","- let mut mock_client = MockTestNodeClient::new();","- mock_client.expect_fetch_documents().returning({","- let mut call_count = 0;","- move |_, _, req| {","- // Node A has the doc, node B doesn't","- let has_doc = call_count == 0;","- let docs = if has_doc { vec![doc_a.clone()] } else { vec![] };","- call_count += 1;","+ let mock_client = TestNodeClient::new();","+ let node_a = NodeId::new(\"node-a\".to_string());","+ let node_b = NodeId::new(\"node-b\".to_string());","+ mock_client.set_response(&node_a, vec![doc_a]);","+ // Node B has no documents"," ","- Ok(FetchDocumentsResponse {","- results: docs,","- limit: req.limit,","- offset: req.offset,","- total: if has_doc { 1 } else { 0 },","- })","- }","- });","-"," let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));"," let reconciler = AntiEntropyReconciler::new("," AntiEntropyConfig::default(),"]},{"oldStart":339,"oldLines":9,"newStart":383,"newLines":6,"lines":[" Arc::new(mock_client),"," );"," ","- let node_a = NodeId::new(\"node-a\".to_string());","- let node_b = NodeId::new(\"node-b\".to_string());","-"," let diff = reconciler"," .compare_bucket_replicas("," 0,"]},{"oldStart":365,"oldLines":26,"newStart":406,"newLines":14,"lines":[" async fn test_compare_bucket_replicas_b_only() {"," // Test PK only exists on replica B"," let doc_b = json!({ \"id\": \"key-only-b\", \"title\": \"Only B\", \"_miroir_shard\": 0 });","- let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");","+ let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");"," ","- let mut mock_client = MockTestNodeClient::new();","- mock_client.expect_fetch_documents().returning({","- let mut call_count = 0;","- move |_, _, req| {","- // Node B has the doc, node A doesn't","- let has_doc = call_count == 1;","- let docs = if has_doc { vec![doc_b.clone()] } else { vec![] };","- call_count += 1;","+ let mock_client = TestNodeClient::new();","+ let node_a = NodeId::new(\"node-a\".to_string());","+ let node_b = NodeId::new(\"node-b\".to_string());","+ // Node A has no documents","+ mock_client.set_response(&node_b, vec![doc_b]);"," ","- Ok(FetchDocumentsResponse {","- results: docs,","- limit: req.limit,","- offset: req.offset,","- total: if has_doc { 1 } else { 0 },","- })","- }","- });","-"," let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));"," let reconciler = AntiEntropyReconciler::new("," AntiEntropyConfig::default(),"]},{"oldStart":392,"oldLines":9,"newStart":421,"newLines":6,"lines":[" Arc::new(mock_client),"," );"," ","- let node_a = NodeId::new(\"node-a\".to_string());","- let node_b = NodeId::new(\"node-b\".to_string());","-"," let diff = reconciler"," .compare_bucket_replicas("," 0,"]},{"oldStart":419,"oldLines":28,"newStart":445,"newLines":14,"lines":[" // Test same PK but different content (different content hash)"," let doc_a = json!({ \"id\": \"key-mismatch\", \"title\": \"Version A\", \"_miroir_shard\": 0 });"," let doc_b = json!({ \"id\": \"key-mismatch\", \"title\": \"Version B\", \"_miroir_shard\": 0 });","- let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");","+ let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");"," ","- let mut mock_client = MockTestNodeClient::new();","- mock_client.expect_fetch_documents().returning({","- let mut call_count = 0;","- move |_, _, req| {","- let docs = match call_count {","- 0 => vec![doc_a.clone()],","- 1 => vec![doc_b.clone()],","- _ => vec![],","- };","- call_count += 1;","+ let mock_client = TestNodeClient::new();","+ let node_a = NodeId::new(\"node-a\".to_string());","+ let node_b = NodeId::new(\"node-b\".to_string());","+ mock_client.set_response(&node_a, vec![doc_a]);","+ mock_client.set_response(&node_b, vec![doc_b]);"," ","- Ok(FetchDocumentsResponse {","- results: docs,","- limit: req.limit,","- offset: req.offset,","- total: 1,","- })","- }","- });","-"," let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));"," let reconciler = AntiEntropyReconciler::new("," AntiEntropyConfig::default(),"]},{"oldStart":448,"oldLines":9,"newStart":460,"newLines":6,"lines":[" Arc::new(mock_client),"," );"," ","- let node_a = NodeId::new(\"node-a\".to_string());","- let node_b = NodeId::new(\"node-b\".to_string());","-"," let diff = reconciler"," .compare_bucket_replicas("," 0,"]},{"oldStart":474,"oldLines":10,"newStart":483,"newLines":10,"lines":[" async fn test_diff_fingerprints_isolates_divergence() {"," // Test that divergent buckets isolate to ~0.4% of PK space"," let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));","- let reconciler = AntiEntropyReconciler::::new(","+ let reconciler = AntiEntropyReconciler::::new("," AntiEntropyConfig::default(),"," topology,","- Arc::new(MockTestNodeClient::new()),","+ Arc::new(TestNodeClient::new()),"," );"," "," // Create a fingerprint with 100 divergent buckets"]}],"originalFile":"//! P5.8.b: Anti-entropy diff step integration tests.\n//!\n//! Tests the diff step (plan §13.8 step 2):\n//! - Per-bucket (pk-hash % 256) digest computation\n//! - Divergent bucket identification\n//! - Divergent primary key enumeration within buckets\n//! - Reused by §13.1 reshard verify with PK-keyed bucketing\n\nuse miroir_core::anti_entropy::{\n AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT,\n};\nuse miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError};\nuse miroir_core::topology::{Node, NodeId, Topology};\nuse serde_json::json;\nuse std::collections::HashMap;\nuse std::sync::Arc;\nuse tokio::sync::RwLock;\n\nmockall::mock! {\n pub TestNodeClient {}\n impl NodeClient for TestNodeClient {\n async fn search_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::SearchRequest,\n ) -> std::result::Result;\n\n async fn preflight_node(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::PreflightRequest,\n ) -> std::result::Result;\n\n async fn write_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::WriteRequest,\n ) -> std::result::Result;\n\n async fn delete_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::DeleteByIdsRequest,\n ) -> std::result::Result;\n\n async fn delete_documents_by_filter(\n &self,\n node: &NodeId,\n address: &str,\n request: &miroir_core::scatter::DeleteByFilterRequest,\n ) -> std::result::Result;\n\n async fn fetch_documents(\n &self,\n node: &NodeId,\n address: &str,\n request: &FetchDocumentsRequest,\n ) -> std::result::Result;\n }\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_deterministic() {\n // Test that bucket assignment is deterministic\n let pk = \"test-primary-key-123\";\n let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk);\n\n assert_eq!(bucket1, bucket2, \"bucket assignment should be deterministic\");\n assert!(bucket1 < BUCKET_COUNT, \"bucket ID should be in range\");\n}\n\n#[tokio::test]\nasync fn test_bucket_for_primary_key_distributes() {\n // Test that different keys distribute across buckets\n let mut buckets = std::collections::HashSet::new();\n\n for i in 0..1000 {\n let pk = format!(\"key-{}\", i);\n let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk);\n buckets.insert(bucket);\n }\n\n // With 1000 keys and 256 buckets, we should hit many buckets\n // (statistically, almost all of them)\n assert!(buckets.len() > 200, \"keys should distribute across many buckets\");\n}\n\n#[tokio::test]\nasync fn test_fingerprint_shard_includes_bucket_hashes() {\n // Test that fingerprinting now computes per-bucket hashes\n let doc1 = json!({\n \"id\": \"doc-1\",\n \"title\": \"First\",\n \"_miroir_shard\": 0,\n });\n\n let doc2 = json!({\n \"id\": \"doc-2\",\n \"title\": \"Second\",\n \"_miroir_shard\": 0,\n });\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = match call_count {\n 0 => vec![doc1.clone(), doc2.clone()],\n _ => vec![],\n };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 2,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_id = NodeId::new(\"node-1\".to_string());\n let result = reconciler\n .fingerprint_shard(&node_id, 0, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT);\n // Each bucket hash should be a valid xxh3 hash string\n for bucket_hash in &result.bucket_hashes {\n assert!(bucket_hash.starts_with(\"xxh3:\"));\n }\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_identical() {\n // Test diff with identical fingerprints (no divergence)\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(MockTestNodeClient::new()),\n );\n\n let fp = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-1\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let divergent = reconciler.diff_fingerprints(&fp, &fp);\n assert!(divergent.is_empty(), \"identical fingerprints should have no divergence\");\n}\n\n#[tokio::test]\nasync fn test_diff_fingerprints_divergent_buckets() {\n // Test diff with divergent buckets\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(MockTestNodeClient::new()),\n );\n\n let mut fp_a = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-a\".to_string(),\n merkle_root: \"xxh3:123\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n let mut fp_b = ShardFingerprint {\n shard_id: 0,\n node_id: \"node-b\".to_string(),\n merkle_root: \"xxh3:456\".to_string(),\n document_count: 100,\n bucket_hashes: (0..BUCKET_COUNT).map(|_| \"xxh3:abc\".to_string()).collect(),\n };\n\n // Make buckets 5, 10, 15 divergent\n fp_b.bucket_hashes[5] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[10] = \"xxh3:different\".to_string();\n fp_b.bucket_hashes[15] = \"xxh3:different\".to_string();\n\n let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b);\n\n assert_eq!(divergent.len(), 3);\n assert!(divergent.contains(&5));\n assert!(divergent.contains(&10));\n assert!(divergent.contains(&15));\n}\n\n#[tokio::test]\nasync fn test_fetch_bucket_pks_filters_by_bucket() {\n // Test that fetch_bucket_pks only returns PKs in the target bucket\n let doc1 = json!({ \"id\": \"key-1\", \"title\": \"Doc 1\", \"_miroir_shard\": 0 });\n let doc2 = json!({ \"id\": \"key-2\", \"title\": \"Doc 2\", \"_miroir_shard\": 0 });\n let doc3 = json!({ \"id\": \"key-3\", \"title\": \"Doc 3\", \"_miroir_shard\": 0 });\n\n // Determine which bucket each key belongs to\n let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-2\");\n let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key(\"key-3\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = match call_count {\n 0 => vec![doc1.clone(), doc2.clone(), doc3.clone()],\n _ => vec![],\n };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 3,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_id = NodeId::new(\"node-1\".to_string());\n\n // Fetch PKs for bucket_1 - should only contain key-1\n let result = reconciler\n .fetch_bucket_pks(&node_id, 0, bucket_1, \"test_index\", \"http://localhost\")\n .await\n .unwrap();\n\n assert_eq!(result.len(), 1);\n assert!(result.contains_key(\"key-1\"));\n assert!(!result.contains_key(\"key-2\"));\n assert!(!result.contains_key(\"key-3\"));\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_no_divergence() {\n // Test comparing identical buckets\n let doc = json!({ \"id\": \"key-1\", \"title\": \"Same\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-1\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = if call_count < 2 { vec![doc.clone()] } else { vec![] };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 1,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.shard_id, 0);\n assert!(diff.a_only_pks.is_empty());\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_a_only() {\n // Test PK only exists on replica A\n let doc_a = json!({ \"id\": \"key-only-a\", \"title\": \"Only A\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-a\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n // Node A has the doc, node B doesn't\n let has_doc = call_count == 0;\n let docs = if has_doc { vec![doc_a.clone()] } else { vec![] };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: if has_doc { 1 } else { 0 },\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert_eq!(diff.a_only_pks.len(), 1);\n assert_eq!(diff.a_only_pks[0], \"key-only-a\");\n assert!(diff.b_only_pks.is_empty());\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_b_only() {\n // Test PK only exists on replica B\n let doc_b = json!({ \"id\": \"key-only-b\", \"title\": \"Only B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-only-b\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n // Node B has the doc, node A doesn't\n let has_doc = call_count == 1;\n let docs = if has_doc { vec![doc_b.clone()] } else { vec![] };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: if has_doc { 1 } else { 0 },\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n assert_eq!(diff.b_only_pks.len(), 1);\n assert_eq!(diff.b_only_pks[0], \"key-only-b\");\n assert!(diff.mismatched_pks.is_empty());\n}\n\n#[tokio::test]\nasync fn test_compare_bucket_replicas_mismatched_content() {\n // Test same PK but different content (different content hash)\n let doc_a = json!({ \"id\": \"key-mismatch\", \"title\": \"Version A\", \"_miroir_shard\": 0 });\n let doc_b = json!({ \"id\": \"key-mismatch\", \"title\": \"Version B\", \"_miroir_shard\": 0 });\n let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key(\"key-mismatch\");\n\n let mut mock_client = MockTestNodeClient::new();\n mock_client.expect_fetch_documents().returning({\n let mut call_count = 0;\n move |_, _, req| {\n let docs = match call_count {\n 0 => vec![doc_a.clone()],\n 1 => vec![doc_b.clone()],\n _ => vec![],\n };\n call_count += 1;\n\n Ok(FetchDocumentsResponse {\n results: docs,\n limit: req.limit,\n offset: req.offset,\n total: 1,\n })\n }\n });\n\n let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1)));\n let reconciler = AntiEntropyReconciler::new(\n AntiEntropyConfig::default(),\n topology,\n Arc::new(mock_client),\n );\n\n let node_a = NodeId::new(\"node-a\".to_string());\n let node_b = NodeId::new(\"node-b\".to_string());\n\n let diff = reconciler\n .compare_bucket_replicas(\n 0,\n bucket_id,\n &node_a,\n \"http://localhost\",\n &node_b,\n \"http://localhost\",\n \"test_index\",\n )\n .await\n .unwrap();\n\n assert!(diff.a_only_pks.is_empty());\n 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TTL worker — background sweeper for document expiration (plan §13.14).\n2\t//!\n3\t//! Each pod runs a TTL sweeper that deletes expired documents from its\n4\t//! rendezvous-owned shards (Mode A scaling). Uses leader election to ensure\n5\t//! only one pod performs the sweep per index.\n6\t//!\n7\t//! ## Sweep Algorithm\n8\t//!\n9\t//! For each owned shard:\n10\t//! 1. Build filter: `_miroir_shard = {s} AND _miroir_expires_at <= {now_ms}`\n11\t//! 2. POST /indexes/{uid}/documents/delete with the filter\n12\t//! 3. Track deleted documents via metrics\n13\t//!\n14\t//! ## Origin Tagging (plan §13.13)\n15\t//!\n16\t//! TTL deletes are tagged with `origin=\"ttl_expire\"` so they are suppressed\n17\t//! from CDC by default unless `emit_ttl_deletes` is true.\n18\t\n19\tuse crate::cdc::ORIGIN_TTL_EXPIRE;\n20\tuse crate::error::{MiroirError, Result};\n21\tuse crate::scatter::{DeleteByFilterRequest, NodeClient};\n22\tuse crate::task_store::TaskStore;\n23\tuse crate::ttl::{TtlConfig, TtlManager};\n24\tuse crate::topology::{Topology, NodeId};\n25\tuse serde::{Deserialize, Serialize};\n26\tuse std::sync::Arc;\n27\tuse std::time::{Duration, SystemTime, UNIX_EPOCH};\n28\tuse tokio::sync::RwLock;\n29\tuse tracing::{debug, error, info, warn};\n30\t\n31\t/// TTL worker configuration.\n32\t#[derive(Debug, Clone, Serialize, Deserialize)]\n33\tpub struct TtlWorkerConfig {\n34\t /// Leader lease TTL in seconds.\n35\t pub lease_ttl_secs: u64,\n36\t /// Leader lease renewal interval in milliseconds.\n37\t pub lease_renewal_interval_ms: u64,\n38\t /// Replica group ID for this pod.\n39\t pub replica_group_id: u32,\n40\t /// Total shards in the cluster.\n41\t pub total_shards: u32,\n42\t /// Replication factor.\n43\t pub rf: usize,\n44\t}\n45\t\n46\timpl TtlWorkerConfig {\n47\t /// Create a new TTL worker config.\n48\t pub fn new(\n49\t replica_group_id: u32,\n50\t total_shards: u32,\n51\t rf: usize,\n52\t ) -> Self {\n53\t Self {\n54\t lease_ttl_secs: 10,\n55\t lease_renewal_interval_ms: 2000,\n56\t replica_group_id,\n57\t total_shards,\n58\t rf,\n59\t }\n60\t }"}]},"parent_tool_use_id":null,"session_id":"336f80db-0374-48ee-8311-5bb3f034a38d","uuid":"d8347870-6051-4244-b592-99e4516719d1","timestamp":"2026-05-23T12:50:39.376Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/miroir/crates/miroir-core/src/rebalancer_worker/ttl_worker.rs","content":"//! TTL worker — background sweeper for document expiration (plan §13.14).\n//!\n//! Each pod runs a TTL sweeper that deletes expired documents from its\n//! rendezvous-owned shards (Mode A scaling). Uses leader election to ensure\n//! only one pod performs the sweep per index.\n//!\n//! ## Sweep Algorithm\n//!\n//! For each owned shard:\n//! 1. Build filter: `_miroir_shard = {s} AND _miroir_expires_at <= {now_ms}`\n//! 2. POST /indexes/{uid}/documents/delete with the filter\n//! 3. Track deleted documents via metrics\n//!\n//! ## Origin Tagging (plan §13.13)\n//!\n//! 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cluster.\n41- pub total_shards: u32,\n42- /// Replication factor.\n43- pub rf: usize,\n44-}\n45-\n46-impl TtlWorkerConfig {\n47- /// Create a new TTL worker config.\n48- pub fn new(\n49- replica_group_id: u32,\n50- total_shards: u32,\n51- rf: usize,\n52- ) -> Self {\n53- Self {\n--\n64:pub struct TtlWorker {\n65- /// TTL manager that performs the actual sweeps.\n66- manager: TtlManager,\n67- /// Task store for leader election.\n68- task_store: Arc,\n69- /// Worker configuration.\n70- config: TtlWorkerConfig,\n71- /// Pod ID for leader election.\n72- pod_id: String,\n73- /// Running flag.\n74- running: Arc>,\n75-}\n76-\n77-impl TtlWorker {\n78- /// Create a new TTL worker.\n79- pub fn new(\n80- config: TtlWorkerConfig,\n81- ttl_config: TtlConfig,\n82- topology: Arc>,\n83- node_client: Arc,\n84- task_store: 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a/crates/miroir-core/src/anti_entropy.rs b/crates/miroir-core/src/anti_entropy.rs index 90d312c..43a0ab0 100644 --- a/crates/miroir-core/src/anti_entropy.rs +++ b/crates/miroir-core/src/anti_entropy.rs @@ -22,7 +22,7 @@ use crate::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient}; use crate::topology::{NodeId, Topology}; use serde::{Deserialize, Serialize}; use serde_json::{json, Value}; -use std::collections::BTreeMap; +use std::collections::{BTreeMap, HashMap}; use std::hash::Hasher; use std::sync::Arc; use std::time::{SystemTime, UNIX_EPOCH}; @@ -30,6 +30,11 @@ use tokio::sync::RwLock; use tracing::{debug, error, info, warn}; use twox_hash::XxHash64; +/// Number of buckets for granular diff (plan §13.8 step 2). +/// +/// Each bucket isolates divergence to ~1/256 (≈0.4%) of the PK space. +pub const BUCKET_COUNT: usize = 256; + /// Anti-entropy configuration (plan §13.8). #[derive(Debug, Clone, Serialize, Deserialize)] pub struct AntiEntropyConfig { @@ -41,6 +46,10 @@ pub struct AntiEntropyConfig { pub fingerprint_batch_size: u32, pub auto_repair: bool, pub updated_at_field: String, + /// TTL expires_at field name (plan §13.14 interaction). + pub expires_at_field: String, + /// Whether TTL is enabled (plan §13.14 interaction). + pub ttl_enabled: bool, } impl Default for AntiEntropyConfig { @@ -54,6 +63,8 @@ impl Default for AntiEntropyConfig { fingerprint_batch_size: 1000, auto_repair: true, updated_at_field: "_miroir_updated_at".to_string(), + expires_at_field: "_miroir_expires_at".to_string(), + ttl_enabled: false, } } } @@ -159,6 +170,16 @@ impl AntiEntropyReconciler { } } + /// Compute bucket ID for a primary key (plan §13.8 step 2). + /// + /// Uses pk-hash modulo BUCKET_COUNT to isolate divergence to ~0.4% of PK space. + /// This is reused by §13.1 reshard verify with PK-keyed bucketing. + pub fn bucket_for_primary_key(primary_key: &str) -> usize { + let mut hasher = XxHash64::with_seed(0); + hasher.write(primary_key.as_bytes()); + (hasher.finish() as usize) % BUCKET_COUNT + } + /// Compute the canonical content hash of a document. /// /// The canonical form excludes internal Miroir fields (_miroir_*, _rankingScore) @@ -188,11 +209,28 @@ impl AntiEntropyReconciler { hasher.finish() } + /// Check if a document is expired (plan §13.14 interaction). + /// + /// Returns true if the document has an expires_at field that is in the past. + /// Expired documents are treated as logically deleted by anti-entropy + /// to prevent zombie resurrection. + fn is_document_expired(document: &Value) -> bool { + if let Some(expires_at) = document.get("_miroir_expires_at").and_then(|v| v.as_u64()) { + let now_ms = SystemTime::now() + .duration_since(UNIX_EPOCH) + .unwrap_or_default() + .as_millis() as u64; + expires_at <= now_ms + } else { + false + } + } + /// Fingerprint a single shard on a node (plan §13.8 step 1). /// /// Iterates all documents with filter=_miroir_shard={id}, computes /// hash(primary_key || content_hash) for each, and folds into a - /// streaming xxh3 digest. + /// streaming xxh3 digest. Also computes per-bucket hashes for diff. pub async fn fingerprint_shard( &self, node_id: &NodeId, @@ -205,6 +243,11 @@ impl AntiEntropyReconciler { let mut document_count = 0u64; let mut hasher = XxHash64::with_seed(shard_id as u64); // Shard-seeded digest + // Per-bucket hashers for granular diff (plan §13.8 step 2) + let mut bucket_hashers: Vec = (0..BUCKET_COUNT) + .map(|_| XxHash64::with_seed(shard_id as u64)) + .collect(); + // Paginated iteration through documents loop { let filter = serde_json::json!({ "_miroir_shard": shard_id }); @@ -226,6 +269,17 @@ impl AntiEntropyReconciler { } for doc in &response.results { + // Skip expired documents (plan §13.14 interaction) + // Treats them as logically deleted to prevent zombie resurrection + if self.config.ttl_enabled && Self::is_document_expired(doc) { + debug!( + shard_id, + primary_key = doc.get("id").or(doc.get("_id")).and_then(|v| v.as_str()).unwrap_or(""), + "Skipping expired document in anti-entropy fingerprint" + ); + continue; + } + // Extract primary key let primary_key = doc .get("id") @@ -245,6 +299,10 @@ impl AntiEntropyReconciler { // Fold into shard digest hasher.write_u64(doc_hash); document_count += 1; + + // Fold into bucket digest for granular diff + let bucket_id = Self::bucket_for_primary_key(primary_key); + bucket_hashers[bucket_id].write_u64(doc_hash); } offset += batch_size as u32; @@ -256,6 +314,12 @@ impl AntiEntropyReconciler { let merkle_root = format!("xxh3:{}", hasher.finish()); + // Extract per-bucket hashes + let bucket_hashes: Vec = bucket_hashers + .into_iter() + .map(|h| format!("xxh3:{}", h.finish())) + .collect(); + debug!( "Fingerprinted shard {} on node {}: {} documents, root {}", shard_id, node_id, document_count, merkle_root @@ -266,7 +330,158 @@ impl AntiEntropyReconciler { node_id: node_id.to_string(), merkle_root, document_count, - bucket_hashes: Vec::new(), // Computed on-demand during diff + bucket_hashes, + }) + } + + /// Find divergent buckets between two fingerprints (plan §13.8 step 2). + /// + /// Returns bucket IDs where the per-bucket hashes differ. + /// Each bucket isolates divergence to ~0.4% of the PK space. + pub fn diff_fingerprints( + &self, + fp_a: &ShardFingerprint, + fp_b: &ShardFingerprint, + ) -> Vec { + let mut divergent = Vec::new(); + + if fp_a.bucket_hashes.len() != BUCKET_COUNT || fp_b.bucket_hashes.len() != BUCKET_COUNT { + // Fallback: if bucket hashes aren't computed, treat all buckets as divergent + warn!( + "Bucket hashes not computed, treating all {} buckets as divergent", + BUCKET_COUNT + ); + return (0..BUCKET_COUNT).collect(); + } + + for (bucket_id, (hash_a, hash_b)) in fp_a + .bucket_hashes + .iter() + .zip(fp_b.bucket_hashes.iter()) + .enumerate() + { + if hash_a != hash_b { + divergent.push(bucket_id); + } + } + + divergent + } + + /// Fetch all primary keys in a specific bucket (plan §13.8 step 2). + /// + /// Returns a map of primary key to content hash for all documents + /// in the given bucket on the specified replica. + pub async fn fetch_bucket_pks( + &self, + node_id: &NodeId, + shard_id: u32, + bucket_id: usize, + index_uid: &str, + address: &str, + ) -> Result> { + let batch_size = self.config.fingerprint_batch_size as usize; + let mut offset = 0u32; + let mut bucket_pks = HashMap::new(); + + loop { + let filter = serde_json::json!({ "_miroir_shard": shard_id }); + let request = FetchDocumentsRequest { + index_uid: index_uid.to_string(), + filter, + limit: batch_size as u32, + offset, + }; + + let response: FetchDocumentsResponse = self + .node_client + .fetch_documents(node_id, address, &request) + .await + .map_err(|e| MiroirError::Topology(format!("fetch failed: {:?}", e)))?; + + if response.results.is_empty() { + break; + } + + for doc in &response.results { + // Skip expired documents (plan §13.14 interaction) + if self.config.ttl_enabled && Self::is_document_expired(doc) { + continue; + } + + let primary_key = doc + .get("id") + .or(doc.get("_id")) + .and_then(|v| v.as_str()) + .unwrap_or(""); + + // Check if this document belongs to the target bucket + let doc_bucket = Self::bucket_for_primary_key(primary_key); + if doc_bucket == bucket_id { + let content_hash = Self::compute_content_hash(doc); + bucket_pks.insert(primary_key.to_string(), content_hash); + } + } + + offset += batch_size as u32; + tokio::time::sleep(tokio::time::Duration::from_millis(10)).await; + } + + Ok(bucket_pks) + } + + /// Compare replicas within a divergent bucket to find specific PK differences. + /// + /// Returns a ReplicaDiff listing: + /// - PKs only in replica A + /// - PKs only in replica B + /// - PKs with different content hashes + pub async fn compare_bucket_replicas( + &self, + shard_id: u32, + bucket_id: usize, + node_a: &NodeId, + address_a: &str, + node_b: &NodeId, + address_b: &str, + index_uid: &str, + ) -> Result { + let pks_a = self + .fetch_bucket_pks(node_a, shard_id, bucket_id, index_uid, address_a) + .await?; + let pks_b = self + .fetch_bucket_pks(node_b, shard_id, bucket_id, index_uid, address_b) + .await?; + + let mut a_only = Vec::new(); + let mut b_only = Vec::new(); + let mut mismatched = Vec::new(); + + // Find PKs only in A or with mismatched content + for (pk, hash_a) in &pks_a { + match pks_b.get(pk) { + Some(hash_b) if hash_b != hash_a => { + mismatched.push(pk.clone()); + } + None => { + a_only.push(pk.clone()); + } + _ => {} + } + } + + // Find PKs only in B + for pk in pks_b.keys() { + if !pks_a.contains_key(pk) { + b_only.push(pk.clone()); + } + } + + Ok(ReplicaDiff { + shard_id, + a_only_pks: a_only, + b_only_pks: b_only, + mismatched_pks: mismatched, }) } @@ -374,7 +589,7 @@ impl AntiEntropyReconciler { .fingerprint_shard(&node_id, shard_id, &self.config.index_uid, &address) .await { - Ok(fp) => fingerprints.push((node_id, fp)), + Ok(fp) => fingerprints.push((node_id.clone(), address, fp)), Err(e) => { warn!( "Failed to fingerprint shard {} on node {}: {}", @@ -392,10 +607,10 @@ impl AntiEntropyReconciler { } // Compare fingerprints - let reference = &fingerprints[0].1; + let (ref_node_id, ref_address, reference) = &fingerprints[0]; let mut drift_detected = false; - for (node_id, fp) in &fingerprints[1..] { + for (node_id, address, fp) in &fingerprints[1..] { if fp.merkle_root != reference.merkle_root { drift_detected = true; debug!( @@ -405,7 +620,18 @@ impl AntiEntropyReconciler { if self.config.auto_repair { // Perform detailed diff and repair - if let Err(e) = self.repair_shard(shard_id, reference, fp).await { + if let Err(e) = self + .repair_shard( + shard_id, + ref_node_id, + ref_address, + reference, + node_id, + address, + fp, + ) + .await + { error!( "Failed to repair shard {} on node {}: {}", shard_id, node_id, e @@ -418,30 +644,223 @@ impl AntiEntropyReconciler { Ok(drift_detected) } - /// Repair a shard by comparing replicas and applying fixes. + /// Repair a shard by comparing replicas and applying fixes (plan §13.8 step 3). async fn repair_shard( &self, shard_id: u32, - reference: &ShardFingerprint, - target: &ShardFingerprint, + reference_node: &NodeId, + reference_address: &str, + reference_fp: &ShardFingerprint, + target_node: &NodeId, + target_address: &str, + target_fp: &ShardFingerprint, ) -> Result<()> { - // In a real implementation, this would: - // 1. Compute per-bucket hashes to locate divergent documents - // 2. Enumerate divergent primary keys - // 3. For each divergent PK: - // a. Check if any replica has _miroir_expires_at <= now (TTL interaction) - // b. If expired: delete from all replicas - // c. Otherwise: pick authoritative version (highest _miroir_updated_at) - // d. Write authoritative version to divergent replicas - debug!( - "Repairing shard {} on node {}", - shard_id, target.node_id + "Repairing shard {} on node {} (reference: node {})", + shard_id, target_node, reference_node ); + // Step 1: Find divergent buckets using per-bucket hashes (plan §13.8 step 2) + let divergent_buckets = self.diff_fingerprints(reference_fp, target_fp); + + if divergent_buckets.is_empty() { + // No bucket-level divergence (shouldn't happen if merkle roots differ) + warn!( + "Shard {} merkle roots differ but no bucket divergence found", + shard_id + ); + return Ok(()); + } + + debug!( + "Shard {} has {} divergent buckets out of {}", + shard_id, + divergent_buckets.len(), + BUCKET_COUNT + ); + + // Step 2: For each divergent bucket, enumerate divergent PKs + for bucket_id in divergent_buckets { + match self + .compare_bucket_replicas( + shard_id, + bucket_id, + reference_node, + reference_address, + target_node, + target_address, + &self.config.index_uid, + ) + .await + { + Ok(diff) => { + let total_divergent = + diff.a_only_pks.len() + diff.b_only_pks.len() + diff.mismatched_pks.len(); + + if total_divergent > 0 { + debug!( + "Bucket {} in shard {}: {} divergent PKs ({} A-only, {} B-only, {} mismatched)", + bucket_id, + shard_id, + total_divergent, + diff.a_only_pks.len(), + diff.b_only_pks.len(), + diff.mismatched_pks.len() + ); + + // Step 3: For each divergent PK, apply repair (plan §13.8 step 3) + // TODO: Implement actual repair writes + // For now, just log the divergence + for pk in &diff.a_only_pks { + debug!("PK {} only exists on reference node {}", pk, reference_node); + } + for pk in &diff.b_only_pks { + debug!("PK {} only exists on target node {}", pk, target_node); + } + for pk in &diff.mismatched_pks { + debug!("PK {} has mismatched content", pk); + } + } + } + Err(e) => { + warn!( + "Failed to compare bucket {} in shard {}: {}", + bucket_id, shard_id, e + ); + } + } + } + Ok(()) } + /// Cross-index bucket comparison for reshard verification (plan §13.1 step 4). + /// + /// Compares two indexes with potentially different shard counts (e.g., live vs shadow + /// during resharding). Uses PK-keyed bucketing (pk-hash % 256) which is independent + /// of the shard count, enabling cross-S comparison. + /// + /// Returns a ReplicaDiff listing divergent PKs across all buckets. + /// This reuses §13.8's bucketed-Merkle machinery but operates across indexes + /// rather than within a single shard. + pub async fn compare_index_buckets( + &self, + node_a: &NodeId, + address_a: &str, + index_a: &str, + shard_count_a: u32, + node_b: &NodeId, + address_b: &str, + index_b: &str, + shard_count_b: u32, + ) -> Result { + let mut all_a_only = Vec::new(); + let mut all_b_only = Vec::new(); + let mut all_mismatched = Vec::new(); + + // Fetch all PKs and their content hashes from both indexes, bucketed by PK + let bucket_pks_a = self.fetch_all_index_pks_bucketed(node_a, address_a, index_a, shard_count_a).await?; + let bucket_pks_b = self.fetch_all_index_pks_bucketed(node_b, address_b, index_b, shard_count_b).await?; + + // Compare each bucket + for bucket_id in 0..BUCKET_COUNT { + let pks_a = &bucket_pks_a[bucket_id]; + let pks_b = &bucket_pks_b[bucket_id]; + + // Find PKs only in A or with mismatched content + for (pk, hash_a) in pks_a { + match pks_b.get(pk) { + Some(hash_b) if hash_b != hash_a => { + all_mismatched.push(pk.clone()); + } + None => { + all_a_only.push(pk.clone()); + } + _ => {} + } + } + + // Find PKs only in B + for pk in pks_b.keys() { + if !pks_a.contains_key(pk) { + all_b_only.push(pk.clone()); + } + } + } + + Ok(ReplicaDiff { + shard_id: 0, // Not applicable for cross-index comparison + a_only_pks: all_a_only, + b_only_pks: all_b_only, + mismatched_pks: all_mismatched, + }) + } + + /// Fetch all primary keys from an index, organized by PK-keyed bucket. + /// + /// This function scans all shards of the index and organizes documents + /// by their PK-hash bucket (0..255), independent of shard assignment. + /// Used for cross-index comparison during reshard verification. + async fn fetch_all_index_pks_bucketed( + &self, + node_id: &NodeId, + address: &str, + index_uid: &str, + shard_count: u32, + ) -> Result>> { + let batch_size = self.config.fingerprint_batch_size as usize; + let mut bucket_pks: Vec> = (0..BUCKET_COUNT) + .map(|_| HashMap::new()) + .collect(); + + // Iterate through all shards in the index + for shard_id in 0..shard_count { + let mut offset = 0u32; + + loop { + let filter = serde_json::json!({ "_miroir_shard": shard_id }); + let request = FetchDocumentsRequest { + index_uid: index_uid.to_string(), + filter, + limit: batch_size as u32, + offset, + }; + + let response: FetchDocumentsResponse = self + .node_client + .fetch_documents(node_id, address, &request) + .await + .map_err(|e| MiroirError::Topology(format!("fetch failed: {:?}", e)))?; + + if response.results.is_empty() { + break; + } + + for doc in &response.results { + let primary_key = doc + .get("id") + .or(doc.get("_id")) + .and_then(|v| v.as_str()) + .unwrap_or(""); + + if primary_key.is_empty() { + continue; + } + + let content_hash = Self::compute_content_hash(doc); + let bucket_id = Self::bucket_for_primary_key(primary_key); + + bucket_pks[bucket_id].insert(primary_key.to_string(), content_hash); + } + + offset += batch_size as u32; + tokio::time::sleep(tokio::time::Duration::from_millis(10)).await; + } + } + + Ok(bucket_pks) + } + /// Get pass history. pub async fn pass_history(&self) -> Vec { self.pass_history.read().await.clone() diff --git a/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs b/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs new file mode 100644 index 0000000..5373934 --- /dev/null +++ b/crates/miroir-proxy/tests/p5_8_b_anti_entropy_diff.rs @@ -0,0 +1,801 @@ +//! P5.8.b: Anti-entropy diff step integration tests. +//! +//! Tests the diff step (plan §13.8 step 2): +//! - Per-bucket (pk-hash % 256) digest computation +//! - Divergent bucket identification +//! - Divergent primary key enumeration within buckets +//! - Reused by §13.1 reshard verify with PK-keyed bucketing + +use miroir_core::anti_entropy::{ + AntiEntropyConfig, AntiEntropyReconciler, ReplicaDiff, ShardFingerprint, BUCKET_COUNT, +}; +use miroir_core::scatter::{FetchDocumentsRequest, FetchDocumentsResponse, NodeClient, NodeError}; +use miroir_core::topology::{Node, NodeId, Topology}; +use serde_json::json; +use std::collections::HashMap; +use std::sync::Arc; +use tokio::sync::RwLock; + +/// Test-specific node client that returns predefined responses. +#[derive(Clone)] +struct TestNodeClient { + responses: Arc>>>, +} + +impl TestNodeClient { + fn new() -> Self { + Self { + responses: Arc::new(std::sync::Mutex::new(HashMap::new())), + } + } + + fn set_response(&self, node_id: &NodeId, docs: Vec) { + self.responses.lock().unwrap().insert(node_id.clone(), docs); + } +} + +impl Default for TestNodeClient { + fn default() -> Self { + Self::new() + } +} + +impl NodeClient for TestNodeClient { + fn search_node( + &self, + _node: &NodeId, + _address: &str, + _request: &miroir_core::scatter::SearchRequest, + ) -> impl std::future::Future> + Send { + async move { + Ok(json!({"hits": [], "estimatedTotalHits": 0, "processingTimeMs": 0})) + } + } + + fn preflight_node( + &self, + _node: &NodeId, + _address: &str, + _request: &miroir_core::scatter::PreflightRequest, + ) -> impl std::future::Future> + Send { + async move { + Ok(miroir_core::scatter::PreflightResponse { + total_docs: 0, + avg_doc_length: 0.0, + term_stats: HashMap::new(), + }) + } + } + + fn write_documents( + &self, + _node: &NodeId, + _address: &str, + _request: &miroir_core::scatter::WriteRequest, + ) -> impl std::future::Future> + Send { + async move { + Ok(miroir_core::scatter::WriteResponse { + success: true, + task_uid: None, + message: None, + code: None, + error_type: None, + }) + } + } + + fn delete_documents( + &self, + _node: &NodeId, + _address: &str, + _request: &miroir_core::scatter::DeleteByIdsRequest, + ) -> impl std::future::Future> + Send { + async move { + Ok(miroir_core::scatter::DeleteResponse { + success: true, + task_uid: None, + message: None, + code: None, + error_type: None, + }) + } + } + + fn delete_documents_by_filter( + &self, + _node: &NodeId, + _address: &str, + _request: &miroir_core::scatter::DeleteByFilterRequest, + ) -> impl std::future::Future> + Send { + async move { + Ok(miroir_core::scatter::DeleteResponse { + success: true, + task_uid: None, + message: None, + code: None, + error_type: None, + }) + } + } + + fn fetch_documents( + &self, + node: &NodeId, + _address: &str, + request: &FetchDocumentsRequest, + ) -> impl std::future::Future> + Send { + let responses = self.responses.clone(); + let node = node.clone(); + async move { + let docs = responses.lock().unwrap().get(&node).cloned().unwrap_or_default(); + let total = docs.len() as u64; + + // Apply pagination + let start = request.offset as usize; + let end = (start + request.limit as usize).min(docs.len()); + let page = if start < docs.len() { + docs[start..end].to_vec() + } else { + vec![] + }; + + Ok(FetchDocumentsResponse { + results: page, + limit: request.limit, + offset: request.offset, + total, + }) + } + } + + fn get_task_status( + &self, + _node: &NodeId, + _address: &str, + _request: &miroir_core::scatter::TaskStatusRequest, + ) -> impl std::future::Future> + Send { + async move { + Ok(miroir_core::scatter::TaskStatusResponse { + task_uid: _request.task_uid, + status: "succeeded".to_string(), + error: None, + error_type: None, + }) + } + } +} + +#[tokio::test] +async fn test_bucket_for_primary_key_deterministic() { + // Test that bucket assignment is deterministic + let pk = "test-primary-key-123"; + let bucket1 = AntiEntropyReconciler::::bucket_for_primary_key(pk); + let bucket2 = AntiEntropyReconciler::::bucket_for_primary_key(pk); + + assert_eq!(bucket1, bucket2, "bucket assignment should be deterministic"); + assert!(bucket1 < BUCKET_COUNT, "bucket ID should be in range"); +} + +#[tokio::test] +async fn test_bucket_for_primary_key_distributes() { + // Test that different keys distribute across buckets + let mut buckets = std::collections::HashSet::new(); + + for i in 0..1000 { + let pk = format!("key-{}", i); + let bucket = AntiEntropyReconciler::::bucket_for_primary_key(&pk); + buckets.insert(bucket); + } + + // With 1000 keys and 256 buckets, we should hit many buckets + // (statistically, almost all of them) + assert!(buckets.len() > 200, "keys should distribute across many buckets"); +} + +#[tokio::test] +async fn test_fingerprint_shard_includes_bucket_hashes() { + // Test that fingerprinting now computes per-bucket hashes + let doc1 = json!({ + "id": "doc-1", + "title": "First", + "_miroir_shard": 0, + }); + + let doc2 = json!({ + "id": "doc-2", + "title": "Second", + "_miroir_shard": 0, + }); + + let mock_client = TestNodeClient::new(); + let node_id = NodeId::new("node-1".to_string()); + mock_client.set_response(&node_id, vec![doc1, doc2]); + + let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let result = reconciler + .fingerprint_shard(&node_id, 0, "test_index", "http://localhost") + .await + .unwrap(); + + assert_eq!(result.bucket_hashes.len(), BUCKET_COUNT); + // Each bucket hash should be a valid xxh3 hash string + for bucket_hash in &result.bucket_hashes { + assert!(bucket_hash.starts_with("xxh3:")); + } +} + +#[tokio::test] +async fn test_diff_fingerprints_identical() { + // Test diff with identical fingerprints (no divergence) + let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1))); + let reconciler = AntiEntropyReconciler::::new( + AntiEntropyConfig::default(), + topology, + Arc::new(TestNodeClient::new()), + ); + + let fp = ShardFingerprint { + shard_id: 0, + node_id: "node-1".to_string(), + merkle_root: "xxh3:123".to_string(), + document_count: 100, + bucket_hashes: (0..BUCKET_COUNT).map(|_| "xxh3:abc".to_string()).collect(), + }; + + let divergent = reconciler.diff_fingerprints(&fp, &fp); + assert!(divergent.is_empty(), "identical fingerprints should have no divergence"); +} + +#[tokio::test] +async fn test_diff_fingerprints_divergent_buckets() { + // Test diff with divergent buckets + let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1))); + let reconciler = AntiEntropyReconciler::::new( + AntiEntropyConfig::default(), + topology, + Arc::new(TestNodeClient::new()), + ); + + let mut fp_a = ShardFingerprint { + shard_id: 0, + node_id: "node-a".to_string(), + merkle_root: "xxh3:123".to_string(), + document_count: 100, + bucket_hashes: (0..BUCKET_COUNT).map(|_| "xxh3:abc".to_string()).collect(), + }; + + let mut fp_b = ShardFingerprint { + shard_id: 0, + node_id: "node-b".to_string(), + merkle_root: "xxh3:456".to_string(), + document_count: 100, + bucket_hashes: (0..BUCKET_COUNT).map(|_| "xxh3:abc".to_string()).collect(), + }; + + // Make buckets 5, 10, 15 divergent + fp_b.bucket_hashes[5] = "xxh3:different".to_string(); + fp_b.bucket_hashes[10] = "xxh3:different".to_string(); + fp_b.bucket_hashes[15] = "xxh3:different".to_string(); + + let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b); + + assert_eq!(divergent.len(), 3); + assert!(divergent.contains(&5)); + assert!(divergent.contains(&10)); + assert!(divergent.contains(&15)); +} + +#[tokio::test] +async fn test_fetch_bucket_pks_filters_by_bucket() { + // Test that fetch_bucket_pks only returns PKs in the target bucket + let doc1 = json!({ "id": "key-1", "title": "Doc 1", "_miroir_shard": 0 }); + let doc2 = json!({ "id": "key-2", "title": "Doc 2", "_miroir_shard": 0 }); + let doc3 = json!({ "id": "key-3", "title": "Doc 3", "_miroir_shard": 0 }); + + // Determine which bucket each key belongs to + let bucket_1 = AntiEntropyReconciler::::bucket_for_primary_key("key-1"); + let bucket_2 = AntiEntropyReconciler::::bucket_for_primary_key("key-2"); + let bucket_3 = AntiEntropyReconciler::::bucket_for_primary_key("key-3"); + + let mock_client = TestNodeClient::new(); + let node_id = NodeId::new("node-1".to_string()); + mock_client.set_response(&node_id, vec![doc1, doc2, doc3]); + + let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + // Fetch PKs for bucket_1 - should only contain key-1 + let result = reconciler + .fetch_bucket_pks(&node_id, 0, bucket_1, "test_index", "http://localhost") + .await + .unwrap(); + + assert_eq!(result.len(), 1); + assert!(result.contains_key("key-1")); + assert!(!result.contains_key("key-2")); + assert!(!result.contains_key("key-3")); +} + +#[tokio::test] +async fn test_compare_bucket_replicas_no_divergence() { + // Test comparing identical buckets + let doc = json!({ "id": "key-1", "title": "Same", "_miroir_shard": 0 }); + let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key("key-1"); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + mock_client.set_response(&node_a, vec![doc.clone()]); + mock_client.set_response(&node_b, vec![doc]); + + let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_bucket_replicas( + 0, + bucket_id, + &node_a, + "http://localhost", + &node_b, + "http://localhost", + "test_index", + ) + .await + .unwrap(); + + assert_eq!(diff.shard_id, 0); + assert!(diff.a_only_pks.is_empty()); + assert!(diff.b_only_pks.is_empty()); + assert!(diff.mismatched_pks.is_empty()); +} + +#[tokio::test] +async fn test_compare_bucket_replicas_a_only() { + // Test PK only exists on replica A + let doc_a = json!({ "id": "key-only-a", "title": "Only A", "_miroir_shard": 0 }); + let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key("key-only-a"); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + mock_client.set_response(&node_a, vec![doc_a]); + // Node B has no documents + + let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_bucket_replicas( + 0, + bucket_id, + &node_a, + "http://localhost", + &node_b, + "http://localhost", + "test_index", + ) + .await + .unwrap(); + + assert_eq!(diff.a_only_pks.len(), 1); + assert_eq!(diff.a_only_pks[0], "key-only-a"); + assert!(diff.b_only_pks.is_empty()); + assert!(diff.mismatched_pks.is_empty()); +} + +#[tokio::test] +async fn test_compare_bucket_replicas_b_only() { + // Test PK only exists on replica B + let doc_b = json!({ "id": "key-only-b", "title": "Only B", "_miroir_shard": 0 }); + let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key("key-only-b"); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + // Node A has no documents + mock_client.set_response(&node_b, vec![doc_b]); + + let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_bucket_replicas( + 0, + bucket_id, + &node_a, + "http://localhost", + &node_b, + "http://localhost", + "test_index", + ) + .await + .unwrap(); + + assert!(diff.a_only_pks.is_empty()); + assert_eq!(diff.b_only_pks.len(), 1); + assert_eq!(diff.b_only_pks[0], "key-only-b"); + assert!(diff.mismatched_pks.is_empty()); +} + +#[tokio::test] +async fn test_compare_bucket_replicas_mismatched_content() { + // Test same PK but different content (different content hash) + let doc_a = json!({ "id": "key-mismatch", "title": "Version A", "_miroir_shard": 0 }); + let doc_b = json!({ "id": "key-mismatch", "title": "Version B", "_miroir_shard": 0 }); + let bucket_id = AntiEntropyReconciler::::bucket_for_primary_key("key-mismatch"); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + mock_client.set_response(&node_a, vec![doc_a]); + mock_client.set_response(&node_b, vec![doc_b]); + + let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_bucket_replicas( + 0, + bucket_id, + &node_a, + "http://localhost", + &node_b, + "http://localhost", + "test_index", + ) + .await + .unwrap(); + + assert!(diff.a_only_pks.is_empty()); + assert!(diff.b_only_pks.is_empty()); + assert_eq!(diff.mismatched_pks.len(), 1); + assert_eq!(diff.mismatched_pks[0], "key-mismatch"); +} + +#[tokio::test] +async fn test_diff_fingerprints_isolates_divergence() { + // Test that divergent buckets isolate to ~0.4% of PK space + let topology = Arc::new(RwLock::new(Topology::new(1, 1, 1))); + let reconciler = AntiEntropyReconciler::::new( + AntiEntropyConfig::default(), + topology, + Arc::new(TestNodeClient::new()), + ); + + // Create a fingerprint with 100 divergent buckets + let mut fp_a = ShardFingerprint { + shard_id: 0, + node_id: "node-a".to_string(), + merkle_root: "xxh3:123".to_string(), + document_count: 10000, + bucket_hashes: (0..BUCKET_COUNT).map(|_| "xxh3:same".to_string()).collect(), + }; + + let mut fp_b = ShardFingerprint { + shard_id: 0, + node_id: "node-b".to_string(), + merkle_root: "xxh3:456".to_string(), + document_count: 10000, + bucket_hashes: (0..BUCKET_COUNT).map(|_| "xxh3:same".to_string()).collect(), + }; + + // Make 100 buckets divergent + for i in 0..100 { + fp_b.bucket_hashes[i] = format!("xxh3:divergent-{}", i); + } + + let divergent = reconciler.diff_fingerprints(&fp_a, &fp_b); + + assert_eq!(divergent.len(), 100); + + // Each divergent bucket represents ~1/256 (≈0.4%) of PK space + // 100 buckets ≈ 39% of total PK space + let isolation_ratio = divergent.len() as f64 / BUCKET_COUNT as f64; + assert!((isolation_ratio - (100.0 / 256.0)).abs() < 0.01); +} + +#[tokio::test] +async fn test_bucket_count_constant() { + // Verify BUCKET_COUNT is 256 as specified in the plan + assert_eq!(BUCKET_COUNT, 256); +} + +// --------------------------------------------------------------------------- +// Cross-index bucket comparison tests (plan §13.1 reshard verification) +// --------------------------------------------------------------------------- + +#[tokio::test] +async fn test_compare_index_buckets_identical() { + // Test cross-index comparison with identical content + let doc1 = json!({ "id": "key-1", "title": "Same", "_miroir_shard": 0 }); + let doc2 = json!({ "id": "key-2", "title": "Same", "_miroir_shard": 1 }); + let doc3 = json!({ "id": "key-3", "title": "Same", "_miroir_shard": 0 }); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + + // Both nodes have the same documents + mock_client.set_response(&node_a, vec![doc1.clone(), doc2.clone(), doc3.clone()]); + mock_client.set_response(&node_b, vec![doc1, doc2, doc3]); + + let topology = Arc::new(RwLock::new(Topology::new(2, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_index_buckets( + &node_a, + "http://localhost", + "index_a", + 2, // shard_count_a + &node_b, + "http://localhost", + "index_b", + 2, // shard_count_b + ) + .await + .unwrap(); + + assert!(diff.a_only_pks.is_empty()); + assert!(diff.b_only_pks.is_empty()); + assert!(diff.mismatched_pks.is_empty()); +} + +#[tokio::test] +async fn test_compare_index_buckets_a_only() { + // Test cross-index comparison with documents only in index A + let doc_a = json!({ "id": "key-only-a", "title": "Only A", "_miroir_shard": 0 }); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + + mock_client.set_response(&node_a, vec![doc_a]); + // Node B has no documents + + let topology = Arc::new(RwLock::new(Topology::new(2, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_index_buckets( + &node_a, + "http://localhost", + "index_a", + 2, + &node_b, + "http://localhost", + "index_b", + 2, + ) + .await + .unwrap(); + + assert_eq!(diff.a_only_pks.len(), 1); + assert_eq!(diff.a_only_pks[0], "key-only-a"); + assert!(diff.b_only_pks.is_empty()); + assert!(diff.mismatched_pks.is_empty()); +} + +#[tokio::test] +async fn test_compare_index_buckets_b_only() { + // Test cross-index comparison with documents only in index B + let doc_b = json!({ "id": "key-only-b", "title": "Only B", "_miroir_shard": 0 }); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + + // Node A has no documents + mock_client.set_response(&node_b, vec![doc_b]); + + let topology = Arc::new(RwLock::new(Topology::new(2, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_index_buckets( + &node_a, + "http://localhost", + "index_a", + 2, + &node_b, + "http://localhost", + "index_b", + 2, + ) + .await + .unwrap(); + + assert!(diff.a_only_pks.is_empty()); + assert_eq!(diff.b_only_pks.len(), 1); + assert_eq!(diff.b_only_pks[0], "key-only-b"); + assert!(diff.mismatched_pks.is_empty()); +} + +#[tokio::test] +async fn test_compare_index_buckets_mismatched_content() { + // Test cross-index comparison with same PK but different content + let doc_a = json!({ "id": "key-mismatch", "title": "Version A", "_miroir_shard": 0 }); + let doc_b = json!({ "id": "key-mismatch", "title": "Version B", "_miroir_shard": 0 }); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + + mock_client.set_response(&node_a, vec![doc_a]); + mock_client.set_response(&node_b, vec![doc_b]); + + let topology = Arc::new(RwLock::new(Topology::new(2, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_index_buckets( + &node_a, + "http://localhost", + "index_a", + 2, + &node_b, + "http://localhost", + "index_b", + 2, + ) + .await + .unwrap(); + + assert!(diff.a_only_pks.is_empty()); + assert!(diff.b_only_pks.is_empty()); + assert_eq!(diff.mismatched_pks.len(), 1); + assert_eq!(diff.mismatched_pks[0], "key-mismatch"); +} + +#[tokio::test] +async fn test_compare_index_buckets_across_different_shard_counts() { + // Test that PK-keyed bucketing works across different shard counts + // This is the key requirement for reshard verification (plan §13.1 step 4) + + // Same PK but different shard assignments due to different S values + // With S=16: hash("key-1") % 16 = some_shard_old + // With S=32: hash("key-1") % 32 = some_shard_new + // But PK-keyed bucket (hash("key-1") % 256) should be the same + + let doc_old_shard = json!({ "id": "key-reshard", "title": "Same", "_miroir_shard": 5 }); + let doc_new_shard = json!({ "id": "key-reshard", "title": "Same", "_miroir_shard": 21 }); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + + // Simulate live index (S=16) and shadow index (S=32) + mock_client.set_response(&node_a, vec![doc_old_shard]); + mock_client.set_response(&node_b, vec![doc_new_shard]); + + let topology = Arc::new(RwLock::new(Topology::new(32, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_index_buckets( + &node_a, + "http://localhost", + "live_index", // S=16 + 16, + &node_b, + "http://localhost", + "shadow_index", // S=32 + 32, + ) + .await + .unwrap(); + + // Even though the documents are in different shards, they should match + // because PK-keyed bucketing is independent of shard count + assert!(diff.a_only_pks.is_empty(), "PK should exist in both indexes"); + assert!(diff.b_only_pks.is_empty(), "PK should exist in both indexes"); + assert!(diff.mismatched_pks.is_empty(), "Content should be identical"); +} + +#[tokio::test] +async fn test_compare_index_buckets_multiple_divergent_buckets() { + // Test that divergence is isolated to specific buckets + let doc1_a = json!({ "id": "bucket-0-key-a", "title": "In A", "_miroir_shard": 0 }); + let doc2_a = json!({ "id": "bucket-5-key-a", "title": "In A", "_miroir_shard": 0 }); + let doc1_b = json!({ "id": "bucket-0-key-b", "title": "In B", "_miroir_shard": 0 }); + let doc2_b = json!({ "id": "bucket-5-key-b", "title": "In B", "_miroir_shard": 0 }); + + // Determine which buckets these keys belong to + let bucket_0_key_a = AntiEntropyReconciler::::bucket_for_primary_key("bucket-0-key-a"); + let bucket_5_key_a = AntiEntropyReconciler::::bucket_for_primary_key("bucket-5-key-a"); + let bucket_0_key_b = AntiEntropyReconciler::::bucket_for_primary_key("bucket-0-key-b"); + let bucket_5_key_b = AntiEntropyReconciler::::bucket_for_primary_key("bucket-5-key-b"); + + let mock_client = TestNodeClient::new(); + let node_a = NodeId::new("node-a".to_string()); + let node_b = NodeId::new("node-b".to_string()); + + mock_client.set_response(&node_a, vec![doc1_a, doc2_a]); + mock_client.set_response(&node_b, vec![doc1_b, doc2_b]); + + let topology = Arc::new(RwLock::new(Topology::new(2, 1, 1))); + let reconciler = AntiEntropyReconciler::new( + AntiEntropyConfig::default(), + topology, + Arc::new(mock_client), + ); + + let diff = reconciler + .compare_index_buckets( + &node_a, + "http://localhost", + "index_a", + 2, + &node_b, + "http://localhost", + "index_b", + 2, + ) + .await + .unwrap(); + + // Each key should only exist in one index + assert_eq!(diff.a_only_pks.len(), 2); + assert_eq!(diff.b_only_pks.len(), 2); + assert!(diff.mismatched_pks.is_empty()); + + // Verify the divergent keys are in different buckets + let divergent_buckets: std::collections::HashSet<_> = diff + .a_only_pks + .iter() + .chain(diff.b_only_pks.iter()) + .map(|pk| AntiEntropyReconciler::::bucket_for_primary_key(pk)) + .collect(); + + assert!(divergent_buckets.contains(&bucket_0_key_a)); + assert!(divergent_buckets.contains(&bucket_5_key_a)); + assert!(divergent_buckets.contains(&bucket_0_key_b)); + assert!(divergent_buckets.contains(&bucket_5_key_b)); +} diff --git a/notes/miroir-uhj.8.2.md b/notes/miroir-uhj.8.2.md index 74edecd..bc3d336 100644 --- a/notes/miroir-uhj.8.2.md +++ b/notes/miroir-uhj.8.2.md @@ -58,3 +58,27 @@ Comprehensive tests in `/home/coding/miroir/crates/miroir-proxy/tests/p5_8_b_ant ## Reusability for §13.1 Reshard Verify The `bucket_for_primary_key()` function is public and documented for reuse in reshard verification (plan §13.1), where PK-keyed (not shard-keyed) bucketing is needed for cross-shard comparison. + +## Verification (2026-05-23) + +All 18 tests in `p5_8_b_anti_entropy_diff.rs` passed: +- `test_bucket_count_constant` - Verifies BUCKET_COUNT = 256 +- `test_bucket_for_primary_key_deterministic` - Verifies deterministic bucket assignment +- `test_bucket_for_primary_key_distributes` - Verifies even distribution across buckets +- `test_fingerprint_shard_includes_bucket_hashes` - Verifies per-bucket hash computation +- `test_diff_fingerprints_identical` - Tests no divergence case +- `test_diff_fingerprints_divergent_buckets` - Tests divergent bucket detection +- `test_diff_fingerprints_isolates_divergence` - Verifies ~0.4% isolation per bucket +- `test_fetch_bucket_pks_filters_by_bucket` - Tests bucket filtering +- `test_compare_bucket_replicas_no_divergence` - Tests identical buckets +- `test_compare_bucket_replicas_a_only` - Tests PK only on replica A +- `test_compare_bucket_replicas_b_only` - Tests PK only on replica B +- `test_compare_bucket_replicas_mismatched_content` - Tests content hash mismatch +- `test_compare_index_buckets_identical` - Cross-index comparison with identical content +- `test_compare_index_buckets_a_only` - Cross-index comparison with documents only in A +- `test_compare_index_buckets_b_only` - Cross-index comparison with documents only in B +- `test_compare_index_buckets_mismatched_content` - Cross-index comparison with mismatched content +- `test_compare_index_buckets_across_different_shard_counts` - PK-keyed bucketing works across different shard counts (reshard verification) +- `test_compare_index_buckets_multiple_divergent_buckets` - Divergence isolation to specific buckets + +The bucket-granular re-digest implementation for P5.8.b is verified complete.