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positive reports\n8\t */\n9\t\n10\t(function() {\n11\t 'use strict';\n12\t\n13\t // ===== State =====\n14\t let qualityPromptActive = false;\n15\t let qualityPromptLinkID = null;\n16\t let qualityPromptStartTime = null;\n17\t let dismissedQualityPrompts = new Set();\n18\t let pulsingAnimationID = null; // For link pulsing animation\n19\t let pulseTime = 0;\n20\t\n21\t // Repeated-setting change tracking\n22\t let settingChangeHistory = JSON.parse(localStorage.getItem('spaxel_setting_changes') || '{}');\n23\t let settingChangeHintShown = JSON.parse(localStorage.getItem('spaxel_setting_hints_shown') || '{}');\n24\t\n25\t // Settings that qualify for repeated-change detection\n26\t const QUALIFYING_SETTINGS = new Set([\n27\t 'delta_rms_threshold',\n28\t 'breathing_sensitivity',\n29\t 'tau_s',\n30\t 'fresnel_decay',\n31\t 'n_subcarriers'\n32\t ]);\n33\t\n34\t // ===== Quality Prompt Detection =====\n35\t /**\n36\t * Monitor link quality and show prompts when quality drops below 0.6 for >5 minutes\n37\t */\n38\t function monitorLinkQuality(links) {\n39\t if (!links || !Array.isArray(links)) {\n40\t return;\n41\t }\n42\t\n43\t const now = Date.now();\n44\t const QUALITY_THRESHOLD = 0.6;\n45\t const DURATION_MS = 5 * 60 * 1000; // 5 minutes\n46\t\n47\t // Find links with poor quality\n48\t let poorQualityLinks = links.filter(link => {\n49\t const quality = link.composite_score || link.quality || 0;\n50\t return quality < QUALITY_THRESHOLD;\n51\t });\n52\t\n53\t if (poorQualityLinks.length === 0) {\n54\t // Quality recovered - clear any active prompt and tracking state\n55\t if (qualityPromptActive || qualityPromptLinkID) {\n56\t // Clear dismiss-for-today so the prompt can re-appear if condition reoccurs\n57\t if (qualityPromptLinkID) {\n58\t const today = new Date().toDateString();\n59\t const dismissKey = `${qualityPromptLinkID}_${today}`;\n60\t dismissedQualityPrompts.delete(dismissKey);\n61\t }\n62\t dismissQualityPrompt();\n63\t }\n64\t return;\n65\t }\n66\t\n67\t // Check each poor quality link\n68\t for (const link of poorQualityLinks) {\n69\t const linkID = link.link_id || (link.node_mac + ':' + link.peer_mac);\n70\t\n71\t // Check if this link was already being tracked\n72\t if (qualityPromptLinkID === linkID && qualityPromptStartTime) {\n73\t const elapsed = now - qualityPromptStartTime;\n74\t if (elapsed >= DURATION_MS && !qualityPromptActive) {\n75\t // Show prompt - duration threshold met\n76\t showQualityPrompt(link);\n77\t }\n78\t } else if (!qualityPromptActive) {\n79\t // Only start tracking if we're not already showing a prompt for another link\n80\t // This prevents rapid switching between different degraded links\n81\t qualityPromptLinkID = linkID;\n82\t qualityPromptStartTime = now;\n83\t qualityPromptActive = false;\n84\t }\n85\t }\n86\t }\n87\t\n88\t /**\n89\t * Show a quality degradation prompt card\n90\t */\n91\t function showQualityPrompt(link) {\n92\t // Use consistent linkID computation (matches monitorLinkQuality)\n93\t const linkID = link.link_id || (link.node_mac + ':' + link.peer_mac);\n94\t\n95\t // Check if already dismissed today\n96\t const today = new Date().toDateString();\n97\t const dismissKey = `${linkID}_${today}`;\n98\t if (dismissedQualityPrompts.has(dismissKey)) {\n99\t return;\n100\t }\n101\t\n102\t qualityPromptActive = true;\n103\t\n104\t const linkName = link.name || formatLinkID(linkID);\n105\t const qualityPercent = Math.round((link.composite_score || link.quality || 0) * 100);\n106\t\n107\t // Remove existing prompt if present\n108\t const existing = document.getElementById('quality-prompt-card');\n109\t if (existing) {\n110\t existing.remove();\n111\t }\n112\t\n113\t const prompt = document.createElement('div');\n114\t prompt.id = 'quality-prompt-card';\n115\t prompt.className = 'quality-prompt-card';\n116\t prompt.innerHTML = `\n117\t
\n118\t ⚠️\n119\t Detection quality has dropped\n120\t \n121\t
\n122\t
\n123\t

Detection quality has dropped on ${linkName} to ${qualityPercent}% reliability.

\n124\t

This link is experiencing degraded performance, which may affect detection accuracy in this area.

\n125\t
\n126\t
\n127\t \n130\t \n133\t
\n134\t `;\n135\t\n136\t // Add to document\n137\t document.body.appendChild(prompt);\n138\t\n139\t // Highlight the 3D link line if available\n140\t highlightLinkIn3D(linkID);\n141\t }\n142\t\n143\t /**\n144\t * Dismiss the current quality prompt\n145\t */\n146\t function dismissQualityPrompt() {\n147\t qualityPromptActive = false;\n148\t qualityPromptLinkID = null;\n149\t qualityPromptStartTime = null;\n150\t\n151\t const prompt = document.getElementById('quality-prompt-card');\n152\t if (prompt) {\n153\t prompt.remove();\n154\t }\n155\t\n156\t // Remove link highlight\n157\t unhighlightLinkIn3D();\n158\t }\n159\t\n160\t /**\n161\t * Dismiss the quality prompt for today only\n162\t */\n163\t function dismissQualityPromptForToday() {\n164\t if (qualityPromptLinkID) {\n165\t const today = new Date().toDateString();\n166\t const dismissKey = `${qualityPromptLinkID}_${today}`;\n167\t dismissedQualityPrompts.add(dismissKey);\n168\t\n169\t // Persist to localStorage\n170\t try {\n171\t const dismissed = Array.from(dismissedQualityPrompts);\n172\t localStorage.setItem('spaxel_dismissed_quality_prompts', dismissed.join(','));\n173\t } catch (e) {\n174\t console.warn('Failed to save dismissed prompts:', e);\n175\t }\n176\t }\n177\t\n178\t dismissQualityPrompt();\n179\t }\n180\t\n181\t /**\n182\t * Load dismissed prompts from localStorage\n183\t */\n184\t function loadDismissedPrompts() {\n185\t try {\n186\t const saved = localStorage.getItem('spaxel_dismissed_quality_prompts');\n187\t if (saved) {\n188\t const today = new Date().toDateString();\n189\t const all = saved.split(',').filter(id => id);\n190\t // Only keep today's entries to prevent stale data buildup\n191\t dismissedQualityPrompts = new Set(all.filter(key => key.endsWith(today)));\n192\t }\n193\t } catch (e) {\n194\t console.warn('Failed to load dismissed prompts:', e);\n195\t }\n196\t }\n197\t\n198\t /**\n199\t * Highlight a link in the 3D view with pulsing amber animation\n200\t */\n201\t function highlightLinkIn3D(linkID) {\n202\t // Store original state before highlighting\n203\t if (window.Viz3D && window.Viz3D.forEachLink) {\n204\t window.Viz3D.forEachLink(function(line, id) {\n205\t if (id === linkID && !line.userData.originalState) {\n206\t // Store original material state\n207\t line.userData.originalState = {\n208\t opacity: line.material.opacity,\n209\t transparent: line.material.transparent,\n210\t color: line.material.color ? line.material.color.getHex() : null,\n211\t emissiveColor: line.material.emissive ? line.material.emissive.getHex() : undefined,\n212\t emissiveIntensity: line.material.emissive ? line.material.emissiveIntensity : 0\n213\t };\n214\t }\n215\t });\n216\t }\n217\t\n218\t // Use Viz3D highlightLink with amber color (0xff9800) and emissive glow\n219\t if (window.Viz3D && window.Viz3D.highlightLink) {\n220\t window.Viz3D.highlightLink(linkID, 0xff9800, 0xff9800, 0.5);\n221\t }\n222\t\n223\t // Dispatch custom event\n224\t window.dispatchEvent(new CustomEvent('spaxel:highlight-link', {\n225\t detail: { linkID: linkID, highlight: true, pulsing: true }\n226\t }));\n227\t\n228\t // Start pulsing animation for this link\n229\t startLinkPulsing(linkID);\n230\t }\n231\t\n232\t /**\n233\t * Remove link highlight in 3D view\n234\t */\n235\t function unhighlightLinkIn3D() {\n236\t const linkID = qualityPromptLinkID;\n237\t\n238\t if (linkID && window.Viz3D) {\n239\t // Restore the link's original appearance using Viz3D's restore mechanism\n240\t if (window.Viz3D.forEachLink) {\n241\t window.Viz3D.forEachLink(function(line, id) {\n242\t if (id === linkID && line.userData.originalState) {\n243\t const orig = line.userData.originalState;\n244\t line.material.opacity = orig.opacity;\n245\t line.material.transparent = orig.transparent;\n246\t if (line.material.color && orig.color !== null) {\n247\t line.material.color.setHex(orig.color);\n248\t }\n249\t if (line.material.emissive) {\n250\t line.material.emissiveIntensity = orig.emissiveIntensity || 0;\n251\t if (orig.emissiveColor !== undefined) {\n252\t line.material.emissive.setHex(orig.emissiveColor);\n253\t }\n254\t }\n255\t line.material.needsUpdate = true;\n256\t }\n257\t });\n258\t }\n259\t\n260\t window.dispatchEvent(new CustomEvent('spaxel:highlight-link', {\n261\t detail: { linkID: linkID, highlight: false }\n262\t }));\n263\t }\n264\t\n265\t // Stop pulsing animation\n266\t stopLinkPulsing();\n267\t }\n268\t\n269\t /**\n270\t * Start pulsing animation for a highlighted link\n271\t */\n272\t function startLinkPulsing(linkID) {\n273\t // Stop any existing animation\n274\t stopLinkPulsing();\n275\t\n276\t pulseTime = 0;\n277\t const PULSE_CYCLE = 1.5; // 1.5 second pulse cycle\n278\t\n279\t function animatePulse(timestamp) {\n280\t if (!qualityPromptActive || qualityPromptLinkID !== linkID) {\n281\t return; // Stop animation\n282\t }\n283\t\n284\t if (!pulsingAnimationID) {\n285\t pulsingAnimationID = requestAnimationFrame(animatePulse);\n286\t return;\n287\t }\n288\t\n289\t pulseTime += 0.016; // Approximately 60fps\n290\t\n291\t // Calculate pulse phase (0 to 1)\n292\t const phase = (pulseTime % PULSE_CYCLE) / PULSE_CYCLE;\n293\t\n294\t // Opacity oscillates: 0.3 -> 0.8 -> 0.3\n295\t const intensity = 0.3 + 0.5 * (1 - Math.abs(phase - 0.5) * 2);\n296\t\n297\t // Apply pulsing effect to link\n298\t if (window.Viz3D && window.Viz3D.highlightLink) {\n299\t // Vary the emissive intensity for pulsing glow effect\n300\t const baseIntensity = 0.3;\n301\t const pulseIntensity = baseIntensity + (0.7 * intensity);\n302\t window.Viz3D.highlightLink(linkID, 0xff9800, 0xff9800, pulseIntensity);\n303\t }\n304\t\n305\t pulsingAnimationID = requestAnimationFrame(animatePulse);\n306\t }\n307\t\n308\t pulsingAnimationID = requestAnimationFrame(animatePulse);\n309\t }\n310\t\n311\t /**\n312\t * Stop the link pulsing animation\n313\t */\n314\t function stopLinkPulsing() {\n315\t if (pulsingAnimationID) {\n316\t cancelAnimationFrame(pulsingAnimationID);\n317\t pulsingAnimationID = null;\n318\t }\n319\t pulseTime = 0;\n320\t }\n321\t\n322\t /**\n323\t * Run diagnostics for a link and show results\n324\t */\n325\t function diagnoseLink(linkID) {\n326\t // Fetch diagnostic results from API\n327\t fetch(`/api/diagnostics/link/${encodeURIComponent(linkID)}`)\n328\t .then(res => res.json())\n329\t .then(data => {\n330\t showDiagnosticResults(linkID, data);\n331\t })\n332\t .catch(err => {\n333\t console.error('Failed to fetch diagnostics:', err);\n334\t showDiagnosticError(linkID);\n335\t });\n336\t }\n337\t\n338\t /**\n339\t * Show diagnostic results in a slide-out panel\n340\t */\n341\t function showDiagnosticResults(linkID, response) {\n342\t // Remove existing panel if present\n343\t const existing = document.getElementById('diagnostic-results-panel');\n344\t if (existing) {\n345\t existing.remove();\n346\t }\n347\t\n348\t const panel = document.createElement('div');\n349\t panel.id = 'diagnostic-results-panel';\n350\t panel.className = 'diagnostic-results-panel';\n351\t\n352\t // Handle both old format (diagnosis array) and new format (response with diagnosis + health)\n353\t const diagnosis = response.diagnosis || response[0] || {};\n354\t const health = response.health || diagnosis.health || null;\n355\t const hasDiagnosis = diagnosis.title !== undefined;\n356\t const severity = (diagnosis.severity || 'info').toLowerCase();\n357\t\n358\t panel.innerHTML = `\n359\t
\n360\t

Link Diagnostics

\n361\t \n362\t
\n363\t
\n364\t \n368\t\n369\t ${hasDiagnosis ? `\n370\t
\n371\t
${diagnosis.title}
\n372\t
${diagnosis.detail}
\n373\t ${diagnosis.advice ? `
What to do: ${diagnosis.advice}
` : ''}\n374\t ${diagnosis.confidence !== undefined ? `
Confidence: ${Math.round(diagnosis.confidence * 100)}%
` : ''}\n375\t
\n376\t ` : `\n377\t
\n378\t
No issues detected
\n379\t
The link health metrics appear normal. The quality drop may be temporary.
\n380\t
\n381\t `}\n382\t\n383\t ${health ? `\n384\t
\n385\t

Current Health Metrics

\n386\t ${renderHealthMetrics(health)}\n387\t
\n388\t ` : ''}\n389\t\n390\t ${response.repositioning ? `\n391\t
\n392\t

Suggested Repositioning

\n393\t

Move ${response.repositioning.node_mac} to:

\n394\t
\n395\t X: ${response.repositioning.position.x.toFixed(1)}m,\n396\t Y: ${response.repositioning.position.y.toFixed(1)}m,\n397\t Z: ${response.repositioning.position.z.toFixed(1)}m\n398\t
\n399\t
\n400\t ` : ''}\n401\t
\n402\t `;\n403\t\n404\t document.body.appendChild(panel);\n405\t }\n406\t\n407\t /**\n408\t * Show diagnostic error message\n409\t */\n410\t function showDiagnosticError(linkID) {\n411\t const panel = document.createElement('div');\n412\t panel.id = 'diagnostic-results-panel';\n413\t panel.className = 'diagnostic-results-panel';\n414\t panel.innerHTML = `\n415\t
\n416\t

Link Diagnostics

\n417\t \n418\t
\n419\t
\n420\t

Unable to fetch diagnostic data. Please try again.

\n421\t
\n422\t `;\n423\t document.body.appendChild(panel);\n424\t }\n425\t\n426\t /**\n427\t * Render health metrics\n428\t */\n429\t function renderHealthMetrics(health) {\n430\t if (!health) {\n431\t return '';\n432\t }\n433\t\n434\t // Handle both snapshot format and report format\n435\t const snr = health.snr !== undefined ? health.snr : (health.SNR || 'N/A');\n436\t const phaseStability = health.phase_stability !== undefined ? health.phase_stability : (health.PhaseStability || 'N/A');\n437\t const packetRate = health.packet_rate !== undefined ? health.packet_rate : (health.PacketRate || 'N/A');\n438\t const driftRate = health.drift_rate !== undefined ? health.drift_rate : (health.DriftRate || 'N/A');\n439\t const compositeScore = health.composite_score !== undefined ? health.composite_score : (health.CompositeScore || 'N/A');\n440\t\n441\t return `\n442\t
\n443\t Packet Rate:\n444\t ${typeof packetRate === 'number' ? packetRate.toFixed(1) : packetRate} Hz\n445\t
\n446\t
\n447\t SNR:\n448\t ${typeof snr === 'number' ? snr.toFixed(2) : snr}\n449\t
\n450\t
\n451\t Phase Stability:\n452\t ${typeof phaseStability === 'number' ? phaseStability.toFixed(2) : phaseStability}\n453\t
\n454\t
\n455\t Drift Rate:\n456\t ${typeof driftRate === 'number' ? driftRate.toFixed(4) : driftRate}\n457\t
\n458\t ${typeof compositeScore === 'number' ? `\n459\t
\n460\t Composite Score:\n461\t ${Math.round(compositeScore * 100)}%\n462\t
\n463\t ` : ''}\n464\t `;\n465\t }\n466\t\n467\t // ===== Repeated-Setting Change Detection =====\n468\t\n469\t /**\n470\t * Track a settings change for repeated-change detection\n471\t */\n472\t function trackSettingChange(settingKey, settingValue) {\n473\t if (!QUALIFYING_SETTINGS.has(settingKey)) {\n474\t return; // Not a qualifying setting\n475\t }\n476\t\n477\t const now = Date.now();\n478\t const windowMs = 24 * 60 * 60 * 1000; // 24 hours\n479\t\n480\t // Initialize history for this setting if needed\n481\t if (!settingChangeHistory[settingKey]) {\n482\t settingChangeHistory[settingKey] = [];\n483\t }\n484\t\n485\t // Add new change\n486\t settingChangeHistory[settingKey].push({\n487\t timestamp: now,\n488\t value: settingValue\n489\t });\n490\t\n491\t // Remove old changes outside the 24h window\n492\t const cutoff = now - windowMs;\n493\t settingChangeHistory[settingKey] = settingChangeHistory[settingKey].filter(\n494\t change => change.timestamp > cutoff\n495\t );\n496\t\n497\t // Save to localStorage\n498\t saveSettingHistory();\n499\t\n500\t // Check if we should show a hint\n501\t checkSettingChangeHint(settingKey);\n502\t }\n503\t\n504\t /**\n505\t * Check if a setting change hint should be shown\n506\t */\n507\t function checkSettingChangeHint(settingKey) {\n508\t // Check if hint was already shown for this setting\n509\t if (settingChangeHintShown[settingKey]) {\n510\t const lastShown = settingChangeHintShown[settingKey];\n511\t const cooldownMs = 24 * 60 * 60 * 1000; // 24 hour cooldown\n512\t if (Date.now() - lastShown < cooldownMs) {\n513\t return; // Still in cooldown\n514\t }\n515\t }\n516\t\n517\t const changes = settingChangeHistory[settingKey] || [];\n518\t if (changes.length >= 3) {\n519\t // Show the hint\n520\t showSettingChangeHint(settingKey);\n521\t settingChangeHintShown[settingKey] = Date.now();\n522\t saveSettingHintShown();\n523\t }\n524\t }\n525\t\n526\t /**\n527\t * Show a hint for repeated setting changes\n528\t */\n529\t function showSettingChangeHint(settingKey) {\n530\t const settingName = formatSettingName(settingKey);\n531\t\n532\t // Remove existing hint if present\n533\t const existing = document.getElementById('setting-change-hint');\n534\t if (existing) {\n535\t existing.remove();\n536\t }\n537\t\n538\t const hint = document.createElement('div');\n539\t hint.id = 'setting-change-hint';\n540\t hint.className = 'setting-change-hint';\n541\t hint.innerHTML = `\n542\t
\n543\t 💡\n544\t Fine-tuning assistance\n545\t \n546\t
\n547\t
\n548\t

Looks like you're fine-tuning the ${settingName}. Would you like help finding the right value for your space?

\n549\t
\n550\t
\n551\t \n554\t \n557\t
\n558\t `;\n559\t\n560\t document.body.appendChild(hint);\n561\t }\n562\t\n563\t /**\n564\t * Dismiss the setting change hint\n565\t */\n566\t function dismissSettingHint() {\n567\t const hint = document.getElementById('setting-change-hint');\n568\t if (hint) {\n569\t hint.remove();\n570\t }\n571\t }\n572\t\n573\t /**\n574\t * Start the guided calibration flow for a setting\n575\t */\n576\t function startCalibrationFlow(settingKey) {\n577\t // Remove the hint\n578\t dismissSettingHint();\n579\t\n580\t // Show the calibration flow modal\n581\t showCalibrationFlow(settingKey);\n582\t }\n583\t\n584\t /**\n585\t * Show the guided calibration flow modal\n586\t */\n587\t function showCalibrationFlow(settingKey) {\n588\t // Remove existing calibration modal if present\n589\t const existing = document.getElementById('calibration-flow-modal');\n590\t if (existing) {\n591\t existing.remove();\n592\t }\n593\t\n594\t const settingName = formatSettingName(settingKey);\n595\t\n596\t const modal = document.createElement('div');\n597\t modal.id = 'calibration-flow-modal';\n598\t modal.className = 'calibration-flow-modal';\n599\t modal.innerHTML = `\n600\t
\n601\t
\n602\t
\n603\t

Guided Calibration: ${settingName}

\n604\t \n605\t
\n606\t
\n607\t \n608\t
\n609\t
\n610\t `;\n611\t\n612\t document.body.appendChild(modal);\n613\t\n614\t // Start with the introduction step\n615\t renderCalibrationStep(settingKey, 'intro');\n616\t }\n617\t\n618\t /**\n619\t * Render a calibration step\n620\t */\n621\t function renderCalibrationStep(settingKey, step, data = {}) {\n622\t const content = document.getElementById('calibration-flow-content');\n623\t if (!content) return;\n624\t\n625\t const steps = {\n626\t intro: `\n627\t
\n628\t
🎯
\n629\t

Let's find the optimal value together

\n630\t

I'll guide you through two quick tests to analyze your space and suggest the best ${formatSettingName(settingKey)} value.

\n631\t
\n632\t
\n633\t 1\n634\t Walk around your room to test for false positives\n635\t
\n636\t
\n637\t 2\n638\t Sit still to test for missed motion detection\n639\t
\n640\t
\n641\t 3\n642\t I'll suggest an optimal value based on your space\n643\t
\n644\t
\n645\t \n648\t
\n649\t `,\n650\t\n651\t 'false-positive-test': `\n652\t
\n653\t
\n654\t
\n655\t
\n656\t
\n657\t Step 1 of 2\n658\t
\n659\t
🚶
\n660\t

Walk around your room

\n661\t

For the next 15 seconds, walk around your room normally. This helps me understand your space's baseline signal patterns.

\n662\t
15
\n663\t
Getting ready...
\n664\t
\n665\t `,\n666\t\n667\t 'missed-motion-test': `\n668\t
\n669\t
\n670\t
\n671\t
\n672\t
\n673\t Step 2 of 2\n674\t
\n675\t
🧘
\n676\t

Sit perfectly still

\n677\t

For the next 10 seconds, sit or stand perfectly still. This helps me detect motion sensitivity issues.

\n678\t
10
\n679\t
Getting ready...
\n680\t
\n681\t `,\n682\t\n683\t analyzing: `\n684\t
\n685\t
\n686\t
\n687\t
\n688\t
\n689\t
\n690\t
\n691\t

Analyzing your space...

\n692\t

Collecting diurnal baseline data and link health metrics to calculate the optimal value.

\n693\t
\n694\t `,\n695\t\n696\t suggestion: `\n697\t
\n698\t
\n699\t

Here's my recommendation

\n700\t
\n701\t
\n702\t Suggested ${formatSettingName(settingKey)}:\n703\t --\n704\t
\n705\t
\n706\t Calculating...\n707\t
\n708\t
\n709\t
\n710\t \n711\t
\n712\t
\n713\t \n716\t \n719\t
\n720\t
\n721\t `\n722\t };\n723\t\n724\t content.innerHTML = steps[step] || steps.intro;\n725\t\n726\t // Execute step-specific logic\n727\t if (step === 'false-positive-test') {\n728\t runCalibrationTest(settingKey, 'false-positive', 15);\n729\t } else if (step === 'missed-motion-test') {\n730\t runCalibrationTest(settingKey, 'missed-motion', 10);\n731\t } else if (step === 'analyzing') {\n732\t analyzeAndSuggest(settingKey);\n733\t }\n734\t }\n735\t\n736\t /**\n737\t * Run a calibration test with countdown timer\n738\t */\n739\t function runCalibrationTest(settingKey, testType, duration) {\n740\t const timerEl = document.getElementById('calibration-timer');\n741\t const statusEl = document.getElementById('calibration-status');\n742\t const progressFill = document.getElementById('calibration-progress-fill');\n743\t const startTime = Date.now();\n744\t\n745\t // Update progress bar fill\n746\t if (progressFill) {\n747\t const targetWidth = testType === 'false-positive' ? '0%' : '50%';\n748\t progressFill.style.width = targetWidth;\n749\t }\n750\t\n751\t // Start collecting test data\n752\t collectTestData(settingKey, testType);\n753\t\n754\t const interval = setInterval(() => {\n755\t const elapsed = (Date.now() - startTime) / 1000;\n756\t const remaining = Math.max(0, Math.ceil(duration - elapsed));\n757\t\n758\t if (timerEl) {\n759\t timerEl.textContent = remaining;\n760\t }\n761\t\n762\t // Update progress\n763\t if (progressFill) {\n764\t const baseWidth = testType === 'false-positive' ? 0 : 50;\n765\t const progress = (elapsed / duration) * 50;\n766\t progressFill.style.width = (baseWidth + progress) + '%';\n767\t }\n768\t\n769\t if (elapsed >= 1 && elapsed < 3) {\n770\t if (statusEl) statusEl.textContent = 'Recording baseline...';\n771\t } else if (elapsed >= 3 && elapsed < duration - 2) {\n772\t if (statusEl) statusEl.textContent = testType === 'false-positive' ? 'Walking... keep moving!' : 'Holding still...';\n773\t } else if (elapsed >= duration - 2) {\n774\t if (statusEl) statusEl.textContent = 'Finishing up...';\n775\t }\n776\t\n777\t if (elapsed >= duration) {\n778\t clearInterval(interval);\n779\t finalizeTestData(settingKey, testType);\n780\t\n781\t // Move to next step\n782\t if (testType === 'false-positive') {\n783\t renderCalibrationStep(settingKey, 'missed-motion-test');\n784\t } else {\n785\t renderCalibrationStep(settingKey, 'analyzing');\n786\t }\n787\t }\n788\t }, 100);\n789\t }\n790\t\n791\t /**\n792\t * Collect test data from the system\n793\t */\n794\t function collectTestData(settingKey, testType) {\n795\t // Store test metadata for later analysis\n796\t if (!window.calibrationTestData) {\n797\t window.calibrationTestData = {};\n798\t }\n799\t window.calibrationTestData[testType] = {\n800\t startTime: Date.now(),\n801\t settingKey: settingKey\n802\t };\n803\t\n804\t // Notify the system to start recording for this test\n805\t window.dispatchEvent(new CustomEvent('spaxel:calibration-start', {\n806\t detail: { testType: testType, settingKey: settingKey }\n807\t }));\n808\t }\n809\t\n810\t /**\n811\t * Finalize test data collection\n812\t */\n813\t function finalizeTestData(settingKey, testType) {\n814\t if (!window.calibrationTestData || !window.calibrationTestData[testType]) {\n815\t return;\n816\t }\n817\t\n818\t window.calibrationTestData[testType].endTime = Date.now();\n819\t\n820\t // Notify the system to stop recording\n821\t window.dispatchEvent(new CustomEvent('spaxel:calibration-end', {\n822\t detail: { testType: testType, settingKey: settingKey }\n823\t }));\n824\t }\n825\t\n826\t /**\n827\t * Analyze test data and suggest optimal value\n828\t */\n829\t function analyzeAndSuggest(settingKey) {\n830\t // Fetch diurnal baseline status and link health data\n831\t Promise.all([\n832\t fetch('/api/diurnal/status').then(r => r.json()).catch(() => null),\n833\t fetch('/api/links').then(r => r.json()).catch(() => null)\n834\t ]).then(([diurnalData, linksData]) => {\n835\t const suggestion = calculateSuggestedValue(settingKey, diurnalData, linksData);\n836\t renderSuggestion(settingKey, suggestion);\n837\t }).catch(err => {\n838\t console.error('Failed to fetch calibration data:', err);\n839\t // Show fallback suggestion\n840\t renderSuggestion(settingKey, getFallbackSuggestion(settingKey));\n841\t });\n842\t }\n843\t\n844\t /**\n845\t * Calculate suggested value based on system data\n846\t */\n847\t function calculateSuggestedValue(settingKey, diurnalData, linksData) {\n848\t const suggestion = {\n849\t value: null,\n850\t reason: '',\n851\t metrics: []\n852\t };\n853\t\n854\t const now = new Date();\n855\t const currentHour = now.getHours();\n856\t\n857\t // Get average health score across all links (higher is better, 0-1 range)\n858\t let avgHealthScore = 0.5; // default fallback\n859\t let activeLinkCount = 0;\n860\t\n861\t if (Array.isArray(linksData)) {\n862\t const healthScores = linksData.map(l => l.health_score || 0.5).filter(s => s >= 0);\n863\t if (healthScores.length > 0) {\n864\t avgHealthScore = healthScores.reduce((a, b) => a + b, 0) / healthScores.length;\n865\t activeLinkCount = linksData.length;\n866\t }\n867\t }\n868\t\n869\t // Get diurnal baseline readiness/learning status\n870\t let diurnalReady = false;\n871\t let learningProgress = 0;\n872\t\n873\t if (Array.isArray(diurnalData) && diurnalData.length > 0) {\n874\t // diurnalData is an array of DiurnalLearningStatus objects\n875\t const readyCount = diurnalData.filter(d => d.is_ready).length;\n876\t diurnalReady = readyCount > (diurnalData.length / 2); // Majority ready\n877\t\n878\t // Average learning progress (backend returns 'progress' field, 0-100 range)\n879\t const progressValues = diurnalData.map(d => (d.progress || 0) / 100).filter(p => p >= 0);\n880\t if (progressValues.length > 0) {\n881\t learningProgress = progressValues.reduce((a, b) => a + b, 0) / progressValues.length;\n882\t }\n883\t }\n884\t\n885\t // Calculate suggestion based on setting type\n886\t // Note: avgHealthScore is 0-1 where higher is better (unlike raw SNR)\n887\t switch (settingKey) {\n888\t case 'delta_rms_threshold':\n889\t // Lower threshold for high health scores, higher for low health scores\n890\t // Range: 0.01 - 0.10\n891\t if (avgHealthScore > 0.8) {\n892\t suggestion.value = 0.02;\n893\t suggestion.reason = 'Your space has excellent link health. A lower threshold will detect subtle movements while minimizing false positives.';\n894\t } else if (avgHealthScore > 0.6) {\n895\t suggestion.value = 0.03;\n896\t suggestion.reason = 'Your space has good link health. This threshold balances sensitivity with noise immunity.';\n897\t } else {\n898\t suggestion.value = 0.05;\n899\t suggestion.reason = 'Your space has lower link health. A higher threshold reduces false positives from environmental noise.';\n900\t }\n901\t // Adjust based on diurnal readiness\n902\t if (diurnalReady && learningProgress < 0.5) {\n903\t suggestion.value *= 1.3; // Still learning needs higher threshold\n904\t suggestion.reason += ' Adjusted up since your baselines are still learning.';\n905\t }\n906\t break;\n907\t\n908\t case 'breathing_sensitivity':\n909\t // Range: 0.001 - 0.02\n910\t if (avgHealthScore > 0.75) {\n911\t suggestion.value = 0.005;\n912\t suggestion.reason = 'High link health enables fine-grained breathing detection.';\n913\t } else if (avgHealthScore > 0.55) {\n914\t suggestion.value = 0.008;\n915\t suggestion.reason = 'Good link health for reliable breathing detection.';\n916\t } else {\n917\t suggestion.value = 0.015;\n918\t suggestion.reason = 'Lower link health requires higher sensitivity for breathing detection.';\n919\t }\n920\t break;\n921\t\n922\t case 'tau_s':\n923\t // Baseline time constant: 5 - 120 seconds\n924\t if (diurnalReady && learningProgress > 0.8) {\n925\t suggestion.value = 30;\n926\t suggestion.reason = 'Your diurnal baselines are well-calibrated. A 30-second time constant adapts quickly to real changes.';\n927\t } else if (diurnalReady || learningProgress > 0.5) {\n928\t suggestion.value = 60;\n929\t suggestion.reason = 'Moderate baseline stability. A 60-second time constant provides stable adaptation.';\n930\t } else {\n931\t suggestion.value = 120;\n932\t suggestion.reason = 'Your environment is still learning baselines. A longer time constant (120s) provides more stable detection.';\n933\t }\n934\t break;\n935\t\n936\t case 'fresnel_decay':\n937\t // Zone decay rate: 1.0 - 4.0\n938\t if (avgHealthScore > 0.75) {\n939\t suggestion.value = 2.5;\n940\t suggestion.reason = 'Strong link health supports tighter zone focus for better localization accuracy.';\n941\t } else if (avgHealthScore > 0.55) {\n942\t suggestion.value = 2.0;\n943\t suggestion.reason = 'Balanced decay rate for your link health.';\n944\t } else {\n945\t suggestion.value = 1.5;\n946\t suggestion.reason = 'Lower link health benefits from broader zone contribution.';\n947\t }\n948\t break;\n949\t\n950\t case 'n_subcarriers':\n951\t // Subcarrier count: 8 - 16\n952\t if (avgHealthScore > 0.75) {\n953\t suggestion.value = 16;\n954\t suggestion.reason = 'Excellent link health supports using all 16 subcarriers for maximum detail.';\n955\t } else if (avgHealthScore > 0.55) {\n956\t suggestion.value = 12;\n957\t suggestion.reason = 'Good link health. 12 subcarriers balance detail with noise immunity.';\n958\t } else {\n959\t suggestion.value = 8;\n960\t suggestion.reason = 'Lower link health. Fewer subcarriers reduce noise impact.';\n961\t }\n962\t break;\n963\t\n964\t default:\n965\t suggestion.value = 0.03;\n966\t suggestion.reason = 'Default suggestion based on average system performance.';\n967\t }\n968\t\n969\t // Build metrics display\n970\t const healthPercent = Math.round(avgHealthScore * 100);\n971\t suggestion.metrics = [\n972\t { label: 'Link Health', value: healthPercent + '%' },\n973\t { label: 'Diurnal Ready', value: diurnalReady ? 'Yes' : 'Learning' },\n974\t { label: 'Active Links', value: activeLinkCount.toString() }\n975\t ];\n976\t\n977\t return suggestion;\n978\t }\n979\t\n980\t /**\n981\t * Get fallback suggestion when API data is unavailable\n982\t */\n983\t function getFallbackSuggestion(settingKey) {\n984\t const defaults = {\n985\t 'delta_rms_threshold': { value: 0.03, reason: 'Default value for typical home environments.' },\n986\t 'breathing_sensitivity': { value: 0.008, reason: 'Default sensitivity for reliable breathing detection.' },\n987\t 'tau_s': { value: 60, reason: 'Default 60-second time constant for stable adaptation.' },\n988\t 'fresnel_decay': { value: 2.0, reason: 'Default inverse-square decay for balanced localization.' },\n989\t 'n_subcarriers': { value: 12, reason: 'Default 12 subcarriers for balanced performance.' }\n990\t };\n991\t return defaults[settingKey] || { value: 0.03, reason: 'Default value.' };\n992\t }\n993\t\n994\t /**\n995\t * Render the suggestion step with calculated values\n996\t */\n997\t function renderSuggestion(settingKey, suggestion) {\n998\t const content = document.getElementById('calibration-flow-content');\n999\t if (!content) return;\n1000\t\n1001\t const formattedValue = formatSuggestedValue(settingKey, suggestion.value);\n1002\t\n1003\t content.innerHTML = `\n1004\t
\n1005\t
\n1006\t

Here's my recommendation

\n1007\t
\n1008\t
\n1009\t Suggested ${formatSettingName(settingKey)}:\n1010\t ${formattedValue}\n1011\t
\n1012\t
${suggestion.reason}
\n1013\t
\n1014\t
\n1015\t

Based on your space:

\n1016\t ${suggestion.metrics.map(m => `\n1017\t
\n1018\t ${m.label}:\n1019\t ${m.value}\n1020\t
\n1021\t `).join('')}\n1022\t
\n1023\t
\n1024\t \n1027\t \n1030\t
\n1031\t
\n1032\t `;\n1033\t }\n1034\t\n1035\t /**\n1036\t * Format a suggested value for display\n1037\t */\n1038\t function formatSuggestedValue(settingKey, value) {\n1039\t if (settingKey === 'tau_s') {\n1040\t return value + ' seconds';\n1041\t } else if (settingKey === 'n_subcarriers') {\n1042\t return value + ' subcarriers';\n1043\t } else if (settingKey === 'fresnel_decay') {\n1044\t return value.toFixed(1);\n1045\t }\n1046\t return value.toFixed(3);\n1047\t }\n1048\t\n1049\t /**\n1050\t * Apply the suggested value to the setting\n1051\t */\n1052\t function applySuggestedValue(settingKey, value) {\n1053\t // Show loading state\n1054\t const applyBtn = document.querySelector('.calibration-btn-primary');\n1055\t if (applyBtn) {\n1056\t applyBtn.disabled = true;\n1057\t applyBtn.textContent = 'Applying...';\n1058\t }\n1059\t\n1060\t // Build settings payload\n1061\t const settings = {};\n1062\t settings[settingKey] = value;\n1063\t\n1064\t // Send to API\n1065\t fetch('/api/settings', {\n1066\t method: 'PATCH',\n1067\t headers: {\n1068\t 'Content-Type': 'application/json'\n1069\t },\n1070\t body: JSON.stringify(settings)\n1071\t })\n1072\t .then(res => res.json())\n1073\t .then(data => {\n1074\t // Show success message\n1075\t showCalibrationSuccess(settingKey, value);\n1076\t\n1077\t // Notify other components of settings change\n1078\t window.dispatchEvent(new CustomEvent('spaxel:settings-changed', {\n1079\t detail: { key: settingKey, value: value }\n1080\t }));\n1081\t })\n1082\t .catch(err => {\n1083\t console.error('Failed to apply setting:', err);\n1084\t showCalibrationError();\n1085\t });\n1086\t }\n1087\t\n1088\t /**\n1089\t * Show calibration success message\n1090\t */\n1091\t function showCalibrationSuccess(settingKey, value) {\n1092\t const content = document.getElementById('calibration-flow-content');\n1093\t if (!content) return;\n1094\t\n1095\t const formattedValue = formatSuggestedValue(settingKey, value);\n1096\t\n1097\t content.innerHTML = `\n1098\t
\n1099\t
\n1100\t

Value applied!

\n1101\t

Your ${formatSettingName(settingKey)} has been set to ${formattedValue}.

\n1102\t

The system will now use this new value for detection. If you experience issues, you can adjust it again in Settings.

\n1103\t
\n1104\t \n1107\t
\n1108\t
\n1109\t `;\n1110\t }\n1111\t\n1112\t /**\n1113\t * Show calibration error message\n1114\t */\n1115\t function showCalibrationError() {\n1116\t const content = document.getElementById('calibration-flow-content');\n1117\t if (!content) return;\n1118\t\n1119\t content.innerHTML = `\n1120\t
\n1121\t
\n1122\t

Couldn't apply the value

\n1123\t

There was a problem saving the setting. Please try again or adjust it manually in Settings.

\n1124\t
\n1125\t \n1128\t
\n1129\t
\n1130\t `;\n1131\t }\n1132\t\n1133\t /**\n1134\t * Close the calibration flow modal\n1135\t */\n1136\t function closeCalibrationFlow() {\n1137\t const modal = document.getElementById('calibration-flow-modal');\n1138\t if (modal) {\n1139\t modal.classList.add('calibration-closing');\n1140\t setTimeout(() => modal.remove(), 300);\n1141\t }\n1142\t // Clean up test data\n1143\t if (window.calibrationTestData) {\n1144\t delete window.calibrationTestData;\n1145\t }\n1146\t }\n1147\t\n1148\t /**\n1149\t * Save setting change history to localStorage\n1150\t */\n1151\t function saveSettingHistory() {\n1152\t try {\n1153\t localStorage.setItem('spaxel_setting_changes', JSON.stringify(settingChangeHistory));\n1154\t } catch (e) {\n1155\t console.warn('Failed to save setting history:', e);\n1156\t }\n1157\t }\n1158\t\n1159\t /**\n1160\t * Save setting hint shown timestamps\n1161\t */\n1162\t function saveSettingHintShown() {\n1163\t try {\n1164\t localStorage.setItem('spaxel_setting_hints_shown', JSON.stringify(settingChangeHintShown));\n1165\t } catch (e) {\n1166\t console.warn('Failed to save hint shown state:', e);\n1167\t }\n1168\t }\n1169\t\n1170\t /**\n1171\t * Format a setting key for display\n1172\t */\n1173\t function formatSettingName(key) {\n1174\t const names = {\n1175\t 'delta_rms_threshold': 'Motion Threshold',\n1176\t 'breathing_sensitivity': 'Breathing Sensitivity',\n1177\t 'tau_s': 'Baseline Time Constant',\n1178\t 'fresnel_decay': 'Fresnel Weight Decay',\n1179\t 'n_subcarriers': 'Subcarrier Count'\n1180\t };\n1181\t return names[key] || key;\n1182\t }\n1183\t\n1184\t // ===== Post-Feedback Explanations =====\n1185\t\n1186\t /**\n1187\t * Show explanation after false positive feedback\n1188\t */\n1189\t function showFeedbackExplanation(eventData) {\n1190\t if (!eventData || !eventData.explainability) {\n1191\t return;\n1192\t }\n1193\t\n1194\t const explanation = eventData.explainability;\n1195\t const contributingLinks = explanation.contributing_links || [];\n1196\t const diagnosis = explanation.diagnosis || null;\n1197\t\n1198\t // Find the primary contributing link\n1199\t const primaryLink = contributingLinks.length > 0 ? contributingLinks[0] : null;\n1200\t\n1201\t let explanationText = '';\n1202\t\n1203\t if (primaryLink) {\n1204\t const linkName = formatLinkID(primaryLink.link_id);\n1205\t const deltaRMS = primaryLink.delta_rms?.toFixed(4) || 'N/A';\n1206\t const threshold = 0.02; // Standard threshold\n1207\t const ratio = (primaryLink.delta_rms / threshold).toFixed(1);\n1208\t\n1209\t explanationText = `The system detected motion here because: ${linkName}'s signal (deltaRMS: ${deltaRMS}) exceeded the motion threshold by ${ratio}x.`;\n1210\t\n1211\t // Add root cause from diagnostic if available\n1212\t if (diagnosis) {\n1213\t explanationText += `

Possible cause: ${diagnosis.detail}`;\n1214\t\n1215\t if (diagnosis.advice) {\n1216\t explanationText += `
What to do: ${diagnosis.advice}`;\n1217\t }\n1218\t explanationText += `

We've noted this and will apply corrections.`;\n1219\t } else {\n1220\t explanationText += `

Possible cause: Ambient RF interference or environmental changes. We've noted this and will apply corrections.`;\n1221\t }\n1222\t } else {\n1223\t explanationText = 'The system detected motion based on signal patterns across multiple links. We\\'ve noted this feedback to improve accuracy.';\n1224\t }\n1225\t\n1226\t // Create explanation element\n1227\t const explanationDiv = document.createElement('div');\n1228\t explanationDiv.className = 'feedback-explanation';\n1229\t explanationDiv.innerHTML = `\n1230\t
\n1231\t Why did this happen?\n1232\t
\n1233\t
\n1234\t

${explanationText}

\n1235\t ${contributingLinks.length > 1 ? `

Contributing links: ${contributingLinks.map(l => formatLinkID(l.link_id)).join(', ')}

` : ''}\n1236\t
\n1237\t `;\n1238\t\n1239\t return explanationDiv;\n1240\t }\n1241\t\n1242\t /**\n1243\t * Fetch diagnostic info for a link at a specific time\n1244\t */\n1245\t function fetchDiagnosticForLink(linkID, timestamp) {\n1246\t // Using the correct endpoint: /api/diagnostics/link/{linkID}?timestamp={ms}\n1247\t return fetch(`/api/diagnostics/link/${encodeURIComponent(linkID)}?timestamp=${timestamp}`)\n1248\t .then(res => {\n1249\t if (!res.ok) {\n1250\t throw new Error(`HTTP ${res.status}: ${res.statusText}`);\n1251\t }\n1252\t return res.json();\n1253\t })\n1254\t .catch(err => {\n1255\t console.error('Failed to fetch diagnostic:', err);\n1256\t return null;\n1257\t });\n1258\t }\n1259\t\n1260\t // ===== Helpers =====\n1261\t\n1262\t function formatLinkID(linkID) {\n1263\t if (!linkID) {\n1264\t return 'Unknown Link';\n1265\t }\n1266\t // Format MAC address pairs nicely\n1267\t const parts = linkID.split(':');\n1268\t if (parts.length === 2) {\n1269\t const mac1 = parts[0].substring(0, 8); // First 8 chars of first MAC\n1270\t const mac2 = parts[1].substring(0, 8); // First 8 chars of second MAC\n1271\t return `${mac1} → ${mac2}`;\n1272\t }\n1273\t return linkID.substring(0, 16) + '...';\n1274\t }\n1275\t\n1276\t // ===== Public API =====\n1277\t window.Proactive = {\n1278\t // Quality monitoring\n1279\t monitorLinkQuality: monitorLinkQuality,\n1280\t dismissQualityPrompt: dismissQualityPrompt,\n1281\t dismissQualityPromptForToday: dismissQualityPromptForToday,\n1282\t diagnoseLink: diagnoseLink,\n1283\t\n1284\t // Setting change tracking\n1285\t trackSettingChange: trackSettingChange,\n1286\t dismissSettingHint: dismissSettingHint,\n1287\t startCalibrationFlow: startCalibrationFlow,\n1288\t\n1289\t // Calibration flow\n1290\t startCalibrationStep: renderCalibrationStep,\n1291\t closeCalibrationFlow: closeCalibrationFlow,\n1292\t applySuggestedValue: applySuggestedValue,\n1293\t\n1294\t // Feedback explanations\n1295\t showFeedbackExplanation: showFeedbackExplanation,\n1296\t fetchDiagnosticForLink: fetchDiagnosticForLink,\n1297\t\n1298\t // Initialization\n1299\t init: function() {\n1300\t loadDismissedPrompts();\n1301\t\n1302\t // Listen for WebSocket messages with link health data\n1303\t window.addEventListener('spaxel:update', (e) => {\n1304\t if (e.detail && e.detail.links) {\n1305\t monitorLinkQuality(e.detail.links);\n1306\t }\n1307\t });\n1308\t\n1309\t // Listen for feedback submissions\n1310\t window.addEventListener('spaxel:feedback', (e) => {\n1311\t if (e.detail && e.detail.type === 'incorrect') {\n1312\t const explanation = this.showFeedbackExplanation(e.detail);\n1313\t if (explanation) {\n1314\t // Show explanation in feedback confirmation\n1315\t const feedbackPanel = document.getElementById('feedback-panel');\n1316\t if (feedbackPanel) {\n1317\t const contentArea = feedbackPanel.querySelector('.feedback-content');\n1318\t if (contentArea) {\n1319\t contentArea.appendChild(explanation);\n1320\t }\n1321\t }\n1322\t }\n1323\t }\n1324\t });\n1325\t\n1326\t // Check for server-side repeated edit hint flag\n1327\t checkServerEditHint();\n1328\t }\n1329\t };\n1330\t\n1331\t /**\n1332\t * Check for server-side repeated edit hint flag\n1333\t */\n1334\t function checkServerEditHint() {\n1335\t fetch('/api/settings')\n1336\t .then(res => res.json())\n1337\t .then(settings => {\n1338\t if (settings.repeated_edit_hint) {\n1339\t // Show the hint - the server detected repeated edits\n1340\t showSettingChangeHint('detected_by_server');\n1341\t }\n1342\t })\n1343\t .catch(err => {\n1344\t // Ignore errors - this is a nice-to-have feature\n1345\t });\n1346\t }\n1347\t\n1348\t // Initialize on load\n1349\t if (document.readyState === 'loading') {\n1350\t document.addEventListener('DOMContentLoaded', () => window.Proactive.init());\n1351\t } else {\n1352\t window.Proactive.init();\n1353\t }\n1354\t\n1355\t // Add styles\n1356\t const style = document.createElement('style');\n1357\t style.id = 'proactive-styles';\n1358\t style.textContent = `\n1359\t .quality-prompt-card {\n1360\t position: fixed;\n1361\t bottom: 100px;\n1362\t right: 20px;\n1363\t width: 380px;\n1364\t max-width: calc(100vw - 40px);\n1365\t background: rgba(255, 152, 0, 0.15);\n1366\t border: 1px solid rgba(255, 152, 0, 0.5);\n1367\t border-radius: 12px;\n1368\t box-shadow: 0 4px 20px rgba(0, 0, 0, 0.4);\n1369\t z-index: 200;\n1370\t animation: qualityPromptSlideIn 0.3s ease-out;\n1371\t }\n1372\t\n1373\t @keyframes qualityPromptSlideIn {\n1374\t from {\n1375\t opacity: 0;\n1376\t transform: translateY(20px);\n1377\t }\n1378\t to {\n1379\t opacity: 1;\n1380\t transform: translateY(0);\n1381\t }\n1382\t }\n1383\t\n1384\t .quality-prompt-header {\n1385\t display: flex;\n1386\t align-items: center;\n1387\t gap: 10px;\n1388\t padding: 14px 16px;\n1389\t border-bottom: 1px solid rgba(255, 152, 0, 0.3);\n1390\t }\n1391\t\n1392\t .quality-prompt-icon {\n1393\t font-size: 20px;\n1394\t }\n1395\t\n1396\t .quality-prompt-title {\n1397\t flex: 1;\n1398\t font-weight: 600;\n1399\t font-size: 14px;\n1400\t color: #ff9800;\n1401\t }\n1402\t\n1403\t .quality-prompt-close {\n1404\t background: none;\n1405\t border: none;\n1406\t color: #888;\n1407\t font-size: 20px;\n1408\t cursor: pointer;\n1409\t padding: 4px;\n1410\t }\n1411\t\n1412\t .quality-prompt-close:hover {\n1413\t color: #fff;\n1414\t }\n1415\t\n1416\t .quality-prompt-content {\n1417\t padding: 14px 16px;\n1418\t }\n1419\t\n1420\t .quality-prompt-content p {\n1421\t margin: 0 0 8px 0;\n1422\t font-size: 13px;\n1423\t line-height: 1.4;\n1424\t color: #ddd;\n1425\t }\n1426\t\n1427\t .quality-prompt-detail {\n1428\t color: #bbb;\n1429\t font-size: 12px;\n1430\t }\n1431\t\n1432\t .quality-prompt-actions {\n1433\t display: flex;\n1434\t gap: 8px;\n1435\t padding: 12px 16px;\n1436\t border-top: 1px solid rgba(255, 152, 0, 0.3);\n1437\t }\n1438\t\n1439\t .quality-prompt-btn {\n1440\t flex: 1;\n1441\t padding: 8px 14px;\n1442\t border-radius: 6px;\n1443\t font-size: 13px;\n1444\t cursor: pointer;\n1445\t border: none;\n1446\t transition: background 0.2s;\n1447\t }\n1448\t\n1449\t .quality-prompt-diagnose {\n1450\t background: #ff9800;\n1451\t color: #1a1a2e;\n1452\t font-weight: 500;\n1453\t }\n1454\t\n1455\t .quality-prompt-diagnose:hover {\n1456\t background: #fb8c00;\n1457\t }\n1458\t\n1459\t .quality-prompt-dismiss {\n1460\t background: rgba(255, 255, 255, 0.1);\n1461\t color: #ccc;\n1462\t }\n1463\t\n1464\t .quality-prompt-dismiss:hover {\n1465\t background: rgba(255, 255, 255, 0.15);\n1466\t }\n1467\t\n1468\t .diagnostic-results-panel {\n1469\t position: fixed;\n1470\t top: 0;\n1471\t right: 0;\n1472\t bottom: 0;\n1473\t width: 400px;\n1474\t max-width: calc(100vw - 40px);\n1475\t background: #1e1e3a;\n1476\t box-shadow: -4px 0 20px rgba(0, 0, 0, 0.5);\n1477\t z-index: 300;\n1478\t overflow-y: auto;\n1479\t animation: diagnosticSlideIn 0.3s ease-out;\n1480\t }\n1481\t\n1482\t @keyframes diagnosticSlideIn {\n1483\t from {\n1484\t transform: translateX(100%);\n1485\t }\n1486\t to {\n1487\t transform: translateX(0);\n1488\t }\n1489\t }\n1490\t\n1491\t .diagnostic-panel-header {\n1492\t display: flex;\n1493\t justify-content: space-between;\n1494\t align-items: center;\n1495\t padding: 16px 20px;\n1496\t border-bottom: 1px solid rgba(255, 255, 255, 0.1);\n1497\t }\n1498\t\n1499\t .diagnostic-panel-header h3 {\n1500\t margin: 0;\n1501\t font-size: 16px;\n1502\t color: #eee;\n1503\t }\n1504\t\n1505\t .diagnostic-close {\n1506\t background: none;\n1507\t border: none;\n1508\t color: #888;\n1509\t font-size: 24px;\n1510\t cursor: pointer;\n1511\t padding: 4px;\n1512\t }\n1513\t\n1514\t .diagnostic-close:hover {\n1515\t color: #fff;\n1516\t }\n1517\t\n1518\t .diagnostic-panel-content {\n1519\t padding: 20px;\n1520\t }\n1521\t\n1522\t .diagnostic-link-info {\n1523\t margin-bottom: 16px;\n1524\t padding: 12px;\n1525\t background: rgba(255, 255, 255, 0.05);\n1526\t border-radius: 6px;\n1527\t }\n1528\t\n1529\t .diagnostic-link-label {\n1530\t font-size: 11px;\n1531\t color: #888;\n1532\t text-transform: uppercase;\n1533\t }\n1534\t\n1535\t .diagnostic-link-id {\n1536\t margin-left: 8px;\n1537\t font-size: 14px;\n1538\t color: #4fc3f7;\n1539\t font-family: monospace;\n1540\t }\n1541\t\n1542\t .diagnostic-result {\n1543\t padding: 16px;\n1544\t border-radius: 8px;\n1545\t margin-bottom: 16px;\n1546\t }\n1547\t\n1548\t .diagnostic-severity-actionable {\n1549\t background: rgba(244, 67, 54, 0.1);\n1550\t border: 1px solid rgba(244, 67, 54, 0.3);\n1551\t }\n1552\t\n1553\t .diagnostic-severity-warning {\n1554\t background: rgba(255, 152, 0, 0.1);\n1555\t border: 1px solid rgba(255, 152, 0, 0.3);\n1556\t }\n1557\t\n1558\t .diagnostic-severity-info {\n1559\t background: rgba(76, 175, 80, 0.1);\n1560\t border: 1px solid rgba(76, 175, 80, 0.3);\n1561\t }\n1562\t\n1563\t .diagnostic-result-title {\n1564\t font-weight: 600;\n1565\t font-size: 14px;\n1566\t color: #eee;\n1567\t margin-bottom: 8px;\n1568\t }\n1569\t\n1570\t .diagnostic-result-detail {\n1571\t font-size: 13px;\n1572\t color: #bbb;\n1573\t line-height: 1.4;\n1574\t margin-bottom: 8px;\n1575\t }\n1576\t\n1577\t .diagnostic-result-advice {\n1578\t font-size: 12px;\n1579\t color: #aaa;\n1580\t padding-top: 8px;\n1581\t border-top: 1px solid rgba(255, 255, 255, 0.1);\n1582\t }\n1583\t\n1584\t .diagnostic-confidence {\n1585\t margin-top: 8px;\n1586\t padding-top: 8px;\n1587\t border-top: 1px solid rgba(255, 255, 255, 0.1);\n1588\t font-size: 11px;\n1589\t color: #888;\n1590\t }\n1591\t\n1592\t .diagnostic-health-metrics {\n1593\t margin-top: 20px;\n1594\t }\n1595\t\n1596\t .diagnostic-repositioning {\n1597\t margin-top: 16px;\n1598\t padding: 12px;\n1599\t background: rgba(79, 195, 247, 0.1);\n1600\t border: 1px solid rgba(79, 195, 247, 0.3);\n1601\t border-radius: 6px;\n1602\t }\n1603\t\n1604\t .diagnostic-repositioning h4 {\n1605\t margin: 0 0 8px 0;\n1606\t font-size: 12px;\n1607\t color: #4fc3f7;\n1608\t text-transform: uppercase;\n1609\t }\n1610\t\n1611\t .diagnostic-repositioning p {\n1612\t margin: 0 0 8px 0;\n1613\t font-size: 13px;\n1614\t color: #ccc;\n1615\t }\n1616\t\n1617\t .repositioning-coords {\n1618\t font-family: monospace;\n1619\t font-size: 12px;\n1620\t color: #4fc3f7;\n1621\t background: rgba(0, 0, 0, 0.2);\n1622\t padding: 8px;\n1623\t border-radius: 4px;\n1624\t }\n1625\t\n1626\t .diagnostic-health-metrics h4 {\n1627\t margin: 0 0 12px 0;\n1628\t font-size: 13px;\n1629\t color: #888;\n1630\t text-transform: uppercase;\n1631\t }\n1632\t\n1633\t .health-metric {\n1634\t display: flex;\n1635\t justify-content: space-between;\n1636\t padding: 8px 0;\n1637\t border-bottom: 1px solid rgba(255, 255, 255, 0.05);\n1638\t font-size: 13px;\n1639\t }\n1640\t\n1641\t .health-metric:last-child {\n1642\t border-bottom: none;\n1643\t }\n1644\t\n1645\t .metric-label {\n1646\t color: #888;\n1647\t }\n1648\t\n1649\t .metric-value {\n1650\t color: #4fc3f7;\n1651\t font-family: monospace;\n1652\t }\n1653\t\n1654\t .setting-change-hint {\n1655\t position: fixed;\n1656\t bottom: 100px;\n1657\t left: 50%;\n1658\t transform: translateX(-50%);\n1659\t width: 400px;\n1660\t max-width: calc(100vw - 40px);\n1661\t background: rgba(79, 195, 247, 0.15);\n1662\t border: 1px solid rgba(79, 195, 247, 0.5);\n1663\t border-radius: 12px;\n1664\t box-shadow: 0 4px 20px rgba(0, 0, 0, 0.4);\n1665\t z-index: 200;\n1666\t animation: hintSlideIn 0.3s ease-out;\n1667\t }\n1668\t\n1669\t @keyframes hintSlideIn {\n1670\t from {\n1671\t opacity: 0;\n1672\t transform: translateX(-50%) translateY(20px);\n1673\t }\n1674\t to {\n1675\t opacity: 1;\n1676\t transform: translateX(-50%) translateY(0);\n1677\t }\n1678\t }\n1679\t\n1680\t .hint-header {\n1681\t display: flex;\n1682\t align-items: center;\n1683\t gap: 10px;\n1684\t padding: 14px 16px;\n1685\t border-bottom: 1px solid rgba(79, 195, 247, 0.3);\n1686\t }\n1687\t\n1688\t .hint-icon {\n1689\t font-size: 20px;\n1690\t }\n1691\t\n1692\t .hint-title {\n1693\t flex: 1;\n1694\t font-weight: 600;\n1695\t font-size: 14px;\n1696\t color: #4fc3f7;\n1697\t }\n1698\t\n1699\t .hint-close {\n1700\t background: none;\n1701\t border: none;\n1702\t color: #888;\n1703\t font-size: 20px;\n1704\t cursor: pointer;\n1705\t padding: 4px;\n1706\t }\n1707\t\n1708\t .hint-content {\n1709\t padding: 14px 16px;\n1710\t }\n1711\t\n1712\t .hint-content p {\n1713\t margin: 0;\n1714\t font-size: 13px;\n1715\t line-height: 1.4;\n1716\t color: #ddd;\n1717\t }\n1718\t\n1719\t .hint-actions {\n1720\t display: flex;\n1721\t gap: 8px;\n1722\t padding: 12px 16px;\n1723\t border-top: 1px solid rgba(79, 195, 247, 0.3);\n1724\t }\n1725\t\n1726\t .hint-btn {\n1727\t flex: 1;\n1728\t padding: 8px 14px;\n1729\t border-radius: 6px;\n1730\t font-size: 13px;\n1731\t cursor: pointer;\n1732\t border: none;\n1733\t }\n1734\t\n1735\t .hint-btn-primary {\n1736\t background: #4fc3f7;\n1737\t color: #1a1a2e;\n1738\t font-weight: 500;\n1739\t }\n1740\t\n1741\t .hint-btn-secondary {\n1742\t background: rgba(255, 255, 255, 0.1);\n1743\t color: #ccc;\n1744\t }\n1745\t\n1746\t .feedback-explanation {\n1747\t margin-top: 12px;\n1748\t padding: 12px;\n1749\t background: rgba(79, 195, 247, 0.1);\n1750\t border: 1px solid rgba(79, 195, 247, 0.3);\n1751\t border-radius: 6px;\n1752\t }\n1753\t\n1754\t .explanation-header {\n1755\t margin-bottom: 8px;\n1756\t }\n1757\t\n1758\t .explanation-title {\n1759\t font-weight: 600;\n1760\t font-size: 13px;\n1761\t color: #4fc3f7;\n1762\t }\n1763\t\n1764\t .explanation-content {\n1765\t font-size: 12px;\n1766\t color: #bbb;\n1767\t line-height: 1.4;\n1768\t }\n1769\t\n1770\t .explanation-content strong {\n1771\t color: #ddd;\n1772\t }\n1773\t\n1774\t .explanation-additional-links {\n1775\t margin-top: 8px;\n1776\t padding-top: 8px;\n1777\t border-top: 1px solid rgba(255, 255, 255, 0.1);\n1778\t font-size: 11px;\n1779\t color: #888;\n1780\t }\n1781\t\n1782\t /* Calibration Flow Modal */\n1783\t .calibration-flow-modal {\n1784\t position: fixed;\n1785\t top: 0;\n1786\t left: 0;\n1787\t right: 0;\n1788\t bottom: 0;\n1789\t z-index: 1000;\n1790\t display: flex;\n1791\t align-items: center;\n1792\t justify-content: center;\n1793\t animation: modalFadeIn 0.2s ease-out;\n1794\t }\n1795\t\n1796\t .calibration-flow-modal.calibration-closing {\n1797\t animation: modalFadeOut 0.3s ease-in forwards;\n1798\t }\n1799\t\n1800\t @keyframes modalFadeIn {\n1801\t from { opacity: 0; }\n1802\t to { opacity: 1; }\n1803\t }\n1804\t\n1805\t @keyframes modalFadeOut {\n1806\t from { opacity: 1; }\n1807\t to { opacity: 0; }\n1808\t }\n1809\t\n1810\t .calibration-flow-backdrop {\n1811\t position: absolute;\n1812\t top: 0;\n1813\t left: 0;\n1814\t right: 0;\n1815\t bottom: 0;\n1816\t background: rgba(0, 0, 0, 0.7);\n1817\t backdrop-filter: blur(4px);\n1818\t }\n1819\t\n1820\t .calibration-flow-container {\n1821\t position: relative;\n1822\t width: 500px;\n1823\t max-width: calc(100vw - 40px);\n1824\t max-height: calc(100vh - 40px);\n1825\t background: #1e1e3a;\n1826\t border-radius: 16px;\n1827\t box-shadow: 0 8px 32px rgba(0, 0, 0, 0.6);\n1828\t display: flex;\n1829\t flex-direction: column;\n1830\t overflow: hidden;\n1831\t }\n1832\t\n1833\t .calibration-flow-header {\n1834\t display: flex;\n1835\t justify-content: space-between;\n1836\t align-items: center;\n1837\t padding: 20px 24px;\n1838\t border-bottom: 1px solid rgba(255, 255, 255, 0.1);\n1839\t }\n1840\t\n1841\t .calibration-flow-header h2 {\n1842\t margin: 0;\n1843\t font-size: 18px;\n1844\t color: #eee;\n1845\t }\n1846\t\n1847\t .calibration-close {\n1848\t background: none;\n1849\t border: none;\n1850\t color: #888;\n1851\t font-size: 24px;\n1852\t cursor: pointer;\n1853\t padding: 4px 8px;\n1854\t line-height: 1;\n1855\t }\n1856\t\n1857\t .calibration-close:hover {\n1858\t color: #fff;\n1859\t }\n1860\t\n1861\t .calibration-flow-content {\n1862\t padding: 24px;\n1863\t overflow-y: auto;\n1864\t flex: 1;\n1865\t }\n1866\t\n1867\t .calibration-step {\n1868\t text-align: center;\n1869\t }\n1870\t\n1871\t .calibration-icon {\n1872\t font-size: 48px;\n1873\t margin-bottom: 16px;\n1874\t }\n1875\t\n1876\t .calibration-icon.calibration-success {\n1877\t color: #4caf50;\n1878\t }\n1879\t\n1880\t .calibration-icon.calibration-error {\n1881\t color: #f44336;\n1882\t }\n1883\t\n1884\t .calibration-step h3 {\n1885\t margin: 0 0 12px 0;\n1886\t font-size: 20px;\n1887\t color: #eee;\n1888\t }\n1889\t\n1890\t .calibration-step p {\n1891\t margin: 0 0 16px 0;\n1892\t font-size: 14px;\n1893\t color: #bbb;\n1894\t line-height: 1.5;\n1895\t }\n1896\t\n1897\t .calibration-steps-overview {\n1898\t margin: 20px 0;\n1899\t text-align: left;\n1900\t }\n1901\t\n1902\t .overview-step {\n1903\t display: flex;\n1904\t align-items: center;\n1905\t gap: 12px;\n1906\t padding: 10px 0;\n1907\t }\n1908\t\n1909\t .overview-number {\n1910\t width: 28px;\n1911\t height: 28px;\n1912\t border-radius: 50%;\n1913\t background: rgba(79, 195, 247, 0.2);\n1914\t color: #4fc3f7;\n1915\t display: flex;\n1916\t align-items: center;\n1917\t justify-content: center;\n1918\t font-size: 13px;\n1919\t font-weight: 600;\n1920\t }\n1921\t\n1922\t .overview-text {\n1923\t font-size: 13px;\n1924\t color: #ccc;\n1925\t }\n1926\t\n1927\t .calibration-progress {\n1928\t margin-bottom: 20px;\n1929\t }\n1930\t\n1931\t .progress-bar {\n1932\t height: 6px;\n1933\t background: rgba(255, 255, 255, 0.1);\n1934\t border-radius: 3px;\n1935\t overflow: hidden;\n1936\t margin-bottom: 8px;\n1937\t }\n1938\t\n1939\t .progress-fill {\n1940\t height: 100%;\n1941\t background: linear-gradient(90deg, #4fc3f7, #29b6f6);\n1942\t border-radius: 3px;\n1943\t transition: width 0.3s ease;\n1944\t }\n1945\t\n1946\t .progress-text {\n1947\t font-size: 12px;\n1948\t color: #888;\n1949\t }\n1950\t\n1951\t .calibration-timer {\n1952\t font-size: 48px;\n1953\t font-weight: 700;\n1954\t color: #4fc3f7;\n1955\t margin: 20px 0;\n1956\t }\n1957\t\n1958\t .calibration-status {\n1959\t font-size: 14px;\n1960\t color: #bbb;\n1961\t }\n1962\t\n1963\t .calibration-spinner {\n1964\t width: 48px;\n1965\t height: 48px;\n1966\t border: 4px solid rgba(79, 195, 247, 0.2);\n1967\t border-top-color: #4fc3f7;\n1968\t border-radius: 50%;\n1969\t margin: 20px auto;\n1970\t animation: spin 1s linear infinite;\n1971\t }\n1972\t\n1973\t @keyframes spin {\n1974\t to { transform: rotate(360deg); }\n1975\t }\n1976\t\n1977\t .calibration-suggestion {\n1978\t background: rgba(79, 195, 247, 0.1);\n1979\t border: 1px solid rgba(79, 195, 247, 0.3);\n1980\t border-radius: 12px;\n1981\t padding: 20px;\n1982\t margin: 20px 0;\n1983\t }\n1984\t\n1985\t .suggestion-value {\n1986\t display: flex;\n1987\t justify-content: center;\n1988\t align-items: baseline;\n1989\t gap: 8px;\n1990\t margin-bottom: 12px;\n1991\t }\n1992\t\n1993\t .suggestion-label {\n1994\t font-size: 14px;\n1995\t color: #ccc;\n1996\t }\n1997\t\n1998\t .suggestion-number {\n1999\t font-size: 32px;\n2000\t font-weight: 700;\n2001\t color: #4fc3f7;\n2002\t }\n2003\t\n2004\t .suggestion-reason {\n2005\t font-size: 13px;\n2006\t color: #bbb;\n2007\t line-height: 1.5;\n2008\t }\n2009\t\n2010\t .calibration-metrics {\n2011\t margin: 20px 0;\n2012\t text-align: left;\n2013\t }\n2014\t\n2015\t .calibration-metrics h4 {\n2016\t margin: 0 0 12px 0;\n2017\t font-size: 12px;\n2018\t color: #888;\n2019\t text-transform: uppercase;\n2020\t }\n2021\t\n2022\t .calibration-metric {\n2023\t display: flex;\n2024\t justify-content: space-between;\n2025\t padding: 8px 0;\n2026\t border-bottom: 1px solid rgba(255, 255, 255, 0.05);\n2027\t font-size: 13px;\n2028\t }\n2029\t\n2030\t .calibration-metric:last-child {\n2031\t border-bottom: none;\n2032\t }\n2033\t\n2034\t .calibration-actions {\n2035\t display: flex;\n2036\t gap: 12px;\n2037\t margin-top: 20px;\n2038\t }\n2039\t\n2040\t .calibration-btn {\n2041\t flex: 1;\n2042\t padding: 12px 20px;\n2043\t border-radius: 8px;\n2044\t font-size: 14px;\n2045\t font-weight: 500;\n2046\t cursor: pointer;\n2047\t border: none;\n2048\t transition: background 0.2s;\n2049\t }\n2050\t\n2051\t .calibration-btn:disabled {\n2052\t opacity: 0.5;\n2053\t cursor: not-allowed;\n2054\t }\n2055\t\n2056\t .calibration-btn-primary {\n2057\t background: #4fc3f7;\n2058\t color: #1a1a2e;\n2059\t }\n2060\t\n2061\t .calibration-btn-primary:hover:not(:disabled) {\n2062\t background: #29b6f6;\n2063\t }\n2064\t\n2065\t .calibration-btn-secondary {\n2066\t background: rgba(255, 255, 255, 0.1);\n2067\t color: #ccc;\n2068\t }\n2069\t\n2070\t .calibration-btn-secondary:hover {\n2071\t background: rgba(255, 255, 255, 0.15);\n2072\t }\n2073\t\n2074\t .calibration-note {\n2075\t font-size: 12px;\n2076\t color: #888;\n2077\t margin-top: 12px;\n2078\t }\n2079\t\n2080\t .calibration-step-active {\n2081\t animation: pulse 2s ease-in-out infinite;\n2082\t }\n2083\t\n2084\t @keyframes pulse {\n2085\t 0%, 100% { opacity: 1; }\n2086\t 50% { opacity: 0.7; }\n2087\t }\n2088\t @keyframes pulse {\n2089\t 0%, 100% { opacity: 1; }\n2090\t 50% { opacity: 0.7; }\n2091\t }\n2092\t\n2093\t /* Feature Discovery Notifications */\n2094\t .feature-discovery-container {\n2095\t position: fixed;\n2096\t bottom: 20px;\n2097\t right: 20px;\n2098\t z-index: 250;\n2099\t display: flex;\n2100\t flex-direction: column;\n2101\t gap: 12px;\n2102\t pointer-events: none;\n2103\t }\n2104\t\n2105\t .feature-discovery-notification {\n2106\t pointer-events: auto;\n2107\t width: 380px;\n2108\t max-width: calc(100vw - 40px);\n2109\t background: linear-gradient(135deg, rgba(76, 175, 80, 0.15), rgba(76, 175, 80, 0.05));\n2110\t border: 1px solid rgba(76, 175, 80, 0.4);\n2111\t border-radius: 12px;\n2112\t box-shadow: 0 4px 20px rgba(0, 0, 0, 0.4);\n2113\t animation: featureDiscoverySlideIn 0.4s ease-out;\n2114\t overflow: hidden;\n2115\t }\n2116\t\n2117\t @keyframes featureDiscoverySlideIn {\n2118\t from {\n2119\t opacity: 0;\n2120\t transform: translateX(100%) scale(0.9);\n2121\t }\n2122\t to {\n2123\t opacity: 1;\n2124\t transform: translateX(0) scale(1);\n2125\t }\n2126\t }\n2127\t\n2128\t .feature-discovery-dismissed {\n2129\t animation: featureDiscoverySlideOut 0.3s ease-in forwards;\n2130\t }\n2131\t\n2132\t @keyframes featureDiscoverySlideOut {\n2133\t to {\n2134\t opacity: 0;\n2135\t transform: translateX(100%);\n2136\t margin-bottom: -100px;\n2137\t }\n2138\t }\n2139\t\n2140\t .feature-discovery-header {\n2141\t display: flex;\n2142\t align-items: center;\n2143\t gap: 10px;\n2144\t padding: 14px 16px;\n2145\t border-bottom: 1px solid rgba(76, 175, 80, 0.3);\n2146\t background: rgba(76, 175, 80, 0.1);\n2147\t }\n2148\t\n2149\t .feature-discovery-icon {\n2150\t font-size: 20px;\n2151\t }\n2152\t\n2153\t .feature-discovery-title {\n2154\t flex: 1;\n2155\t font-weight: 600;\n2156\t font-size: 14px;\n2157\t color: #81c784;\n2158\t }\n2159\t\n2160\t .feature-discovery-close {\n2161\t background: none;\n2162\t border: none;\n2163\t color: #888;\n2164\t font-size: 20px;\n2165\t cursor: pointer;\n2166\t padding: 4px;\n2167\t line-height: 1;\n2168\t }\n2169\t\n2170\t .feature-discovery-close:hover {\n2171\t color: #fff;\n2172\t }\n2173\t\n2174\t .feature-discovery-content {\n2175\t padding: 14px 16px;\n2176\t }\n2177\t\n2178\t .feature-discovery-content p {\n2179\t margin: 0;\n2180\t font-size: 13px;\n2181\t line-height: 1.5;\n2182\t color: #ddd;\n2183\t }\n2184\t\n2185\t .feature-discovery-actions {\n2186\t display: flex;\n2187\t gap: 8px;\n2188\t padding: 12px 16px;\n2189\t border-top: 1px solid rgba(76, 175, 80, 0.3);\n2190\t background: rgba(0, 0, 0, 0.2);\n2191\t }\n2192\t\n2193\t .feature-discovery-btn {\n2194\t flex: 1;\n2195\t padding: 8px 14px;\n2196\t border-radius: 6px;\n2197\t font-size: 13px;\n2198\t cursor: pointer;\n2199\t border: none;\n2200\t transition: all 0.2s;\n2201\t }\n2202\t\n2203\t .feature-discovery-primary {\n2204\t background: #4caf50;\n2205\t color: #1a1a2e;\n2206\t font-weight: 500;\n2207\t }\n2208\t\n2209\t .feature-discovery-primary:hover {\n2210\t background: #43a047;\n2211\t }\n2212\t\n2213\t .feature-discovery-secondary {\n2214\t background: rgba(255, 255, 255, 0.1);\n2215\t color: #ccc;\n2216\t }\n2217\t\n2218\t .feature-discovery-secondary:hover {\n2219\t background: rgba(255, 255, 255, 0.15);\n2220\t }\n2221\t\n2222\t .feature-discovery-sparkle {\n2223\t position: absolute;\n2224\t top: 10px;\n2225\t right: 10px;\n2226\t font-size: 16px;\n2227\t animation: sparkle 1.5s ease-in-out infinite;\n2228\t }\n2229\t\n2230\t @keyframes sparkle {\n2231\t 0%, 100% { opacity: 0.3; transform: scale(1); }\n2232\t 50% { opacity: 1; transform: scale(1.2); }\n2233\t }\n2234\t `;\n2235\t\n2236\t document.head.appendChild(style);\n2237\t\n2238\t // ===== Feature Discovery Notifications =====\n2239\t\n2240\t // State for feature notifications\n2241\t let featureNotificationCheckInterval = null;\n2242\t let pendingFeatureNotifications = [];\n2243\t let displayedNotificationIDs = new Set();\n2244\t\n2245\t /**\n2246\t * Start polling for feature discovery notifications\n2247\t */\n2248\t function startFeatureNotificationPolling() {\n2249\t // Check every 30 seconds\n2250\t if (featureNotificationCheckInterval) {\n2251\t clearInterval(featureNotificationCheckInterval);\n2252\t }\n2253\t\n2254\t // Initial check\n2255\t checkFeatureNotifications();\n2256\t\n2257\t featureNotificationCheckInterval = setInterval(() => {\n2258\t checkFeatureNotifications();\n2259\t }, 30000); // 30 seconds\n2260\t }\n2261\t\n2262\t /**\n2263\t * Stop polling for feature notifications\n2264\t */\n2265\t function stopFeatureNotificationPolling() {\n2266\t if (featureNotificationCheckInterval) {\n2267\t clearInterval(featureNotificationCheckInterval);\n2268\t featureNotificationCheckInterval = null;\n2269\t }\n2270\t }\n2271\t\n2272\t /**\n2273\t * Check for new feature discovery notifications\n2274\t */\n2275\t async function checkFeatureNotifications() {\n2276\t try {\n2277\t const response = await fetch('/api/help/notifications');\n2278\t if (!response.ok) {\n2279\t return;\n2280\t }\n2281\t\n2282\t const data = await response.json();\n2283\t const notifications = data.notifications || [];\n2284\t\n2285\t // Filter out already displayed notifications\n2286\t const newNotifications = notifications.filter(n => !displayedNotificationIDs.has(n.event_id));\n2287\t\n2288\t if (newNotifications.length > 0) {\n2289\t // Show each new notification\n2290\t for (const notification of newNotifications) {\n2291\t showFeatureNotification(notification);\n2292\t displayedNotificationIDs.add(notification.event_id);\n2293\t }\n2294\t }\n2295\t } catch (err) {\n2296\t console.error('[FeatureDiscovery] Failed to check notifications:', err);\n2297\t }\n2298\t }\n2299\t\n2300\t /**\n2301\t * Show a feature discovery notification card\n2302\t */\n2303\t function showFeatureNotification(notification) {\n2304\t // Create container if it doesn't exist\n2305\t let container = document.querySelector('.feature-discovery-container');\n2306\t if (!container) {\n2307\t container = document.createElement('div');\n2308\t container.className = 'feature-discovery-container';\n2309\t document.body.appendChild(container);\n2310\t }\n2311\t\n2312\t const card = document.createElement('div');\n2313\t card.className = 'feature-discovery-notification';\n2314\t card.dataset.eventId = notification.event_id;\n2315\t\n2316\t const actionButton = notification.action_label ? `\n2317\t \n2320\t ` : '';\n2321\t\n2322\t card.innerHTML = `\n2323\t
\n2324\t
\n2325\t 🎉\n2326\t ${notification.title}\n2327\t \n2328\t
\n2329\t
\n2330\t

${notification.message}

\n2331\t
\n2332\t ${actionButton ? `\n2333\t
\n2334\t ${actionButton}\n2335\t \n2338\t
\n2339\t ` : `\n2340\t
\n2341\t \n2344\t
\n2345\t `}\n2346\t `;\n2347\t\n2348\t // Add click handler for action button\n2349\t if (notification.action_label && notification.action_url) {\n2350\t const actionBtn = card.querySelector('.feature-discovery-primary');\n2351\t if (actionBtn) {\n2352\t actionBtn.addEventListener('click', () => {\n2353\t // Navigate to the action URL\n2354\t if (notification.action_url.startsWith('#')) {\n2355\t // Internal navigation\n2356\t if (window.SpaxelRouter) {\n2357\t window.SpaxelRouter.navigate(notification.action_url.substring(2));\n2358\t } else {\n2359\t window.location.hash = notification.action_url;\n2360\t }\n2361\t } else {\n2362\t // External link\n2363\t window.open(notification.action_url, '_blank');\n2364\t }\n2365\t // Dismiss after action\n2366\t dismissFeatureNotification(notification.event_id);\n2367\t });\n2368\t }\n2369\t }\n2370\t\n2371\t container.appendChild(card);\n2372\t\n2373\t // Auto-dismiss after 30 seconds if not interacted with\n2374\t setTimeout(() => {\n2375\t if (card.parentNode) {\n2376\t dismissFeatureNotification(notification.event_id);\n2377\t }\n2378\t }, 30000);\n2379\t }\n2380\t\n2381\t /**\n2382\t * Dismiss a feature discovery notification\n2383\t */\n2384\t async function dismissFeatureNotification(eventID) {\n2385\t // Remove from UI\n2386\t const card = document.querySelector(`.feature-discovery-notification[data-event-id=\"${eventID}\"]`);\n2387\t if (card) {\n2388\t card.classList.add('feature-discovery-dismissed');\n2389\t setTimeout(() => {\n2390\t if (card.parentNode) {\n2391\t card.remove();\n2392\t }\n2393\t }, 300);\n2394\t }\n2395\t\n2396\t // Acknowledge on server\n2397\t try {\n2398\t await fetch(`/api/help/notifications/${encodeURIComponent(eventID)}/acknowledge`, {\n2399\t method: 'POST',\n2400\t headers: {\n2401\t 'Content-Type': 'application/json'\n2402\t }\n2403\t });\n2404\t } catch (err) {\n2405\t console.error('[FeatureDiscovery] Failed to acknowledge notification:', err);\n2406\t }\n2407\t\n2408\t // Remove from displayed set\n2409\t displayedNotificationIDs.delete(eventID);\n2410\t }\n2411\t\n2412\t // Update public API to include feature discovery methods\n2413\t window.Proactive.startFeatureNotificationPolling = startFeatureNotificationPolling;\n2414\t window.Proactive.stopFeatureNotificationPolling = stopFeatureNotificationPolling;\n2415\t window.Proactive.dismissFeatureNotification = dismissFeatureNotification;\n2416\t\n2417\t // Start feature notification polling on init\n2418\t const originalInit = window.Proactive.init;\n2419\t window.Proactive.init = function() {\n2420\t if (originalInit) {\n2421\t originalInit.call(this);\n2422\t }\n2423\t startFeatureNotificationPolling();\n2424\t };\n2425\t\n2426\t})();\n2427\t"}]},"parent_tool_use_id":null,"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","uuid":"1d7c3b26-1073-48e8-8fba-f7b1ec32173b","timestamp":"2026-05-04T04:08:01.794Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/spaxel/dashboard/js/proactive.js","content":"/**\n * Spaxel Dashboard - Proactive Quality Assistance\n *\n * Provides proactive prompts for:\n * - Detection quality degradation warnings with root-cause analysis\n * - Repeated-setting change detection (user struggling to tune)\n * - Post-feedback explanations after false positive reports\n */\n\n(function() {\n 'use strict';\n\n // ===== State =====\n let qualityPromptActive = false;\n let qualityPromptLinkID = null;\n let qualityPromptStartTime = null;\n let dismissedQualityPrompts = new Set();\n let pulsingAnimationID = null; // For link pulsing animation\n let pulseTime = 0;\n\n // Repeated-setting change tracking\n let settingChangeHistory = JSON.parse(localStorage.getItem('spaxel_setting_changes') || '{}');\n let settingChangeHintShown = JSON.parse(localStorage.getItem('spaxel_setting_hints_shown') || '{}');\n\n // Settings that qualify for repeated-change detection\n const QUALIFYING_SETTINGS = new Set([\n 'delta_rms_threshold',\n 'breathing_sensitivity',\n 'tau_s',\n 'fresnel_decay',\n 'n_subcarriers'\n ]);\n\n // ===== Quality Prompt Detection =====\n /**\n * Monitor link quality and show prompts when quality drops below 0.6 for >5 minutes\n */\n function monitorLinkQuality(links) {\n if (!links || !Array.isArray(links)) {\n return;\n }\n\n const now = Date.now();\n const QUALITY_THRESHOLD = 0.6;\n const DURATION_MS = 5 * 60 * 1000; // 5 minutes\n\n // Find links with poor quality\n let poorQualityLinks = links.filter(link => {\n const quality = link.composite_score || link.quality || 0;\n return quality < QUALITY_THRESHOLD;\n });\n\n if (poorQualityLinks.length === 0) {\n // Quality recovered - clear any active prompt and tracking state\n if (qualityPromptActive || qualityPromptLinkID) {\n // Clear dismiss-for-today so the prompt can re-appear if condition reoccurs\n if (qualityPromptLinkID) {\n const today = new Date().toDateString();\n const dismissKey = `${qualityPromptLinkID}_${today}`;\n dismissedQualityPrompts.delete(dismissKey);\n }\n dismissQualityPrompt();\n }\n return;\n }\n\n // Check each poor quality link\n for (const link of poorQualityLinks) {\n const linkID = link.link_id || (link.node_mac + ':' + link.peer_mac);\n\n // Check if this link was already being tracked\n if (qualityPromptLinkID === linkID && qualityPromptStartTime) {\n const elapsed = now - qualityPromptStartTime;\n if (elapsed >= DURATION_MS && !qualityPromptActive) {\n // Show prompt - duration threshold met\n showQualityPrompt(link);\n }\n } else if (!qualityPromptActive) {\n // Only start tracking if we're not already showing a prompt for another link\n // This prevents rapid switching between different degraded links\n qualityPromptLinkID = linkID;\n qualityPromptStartTime = now;\n qualityPromptActive = false;\n }\n }\n }\n\n /**\n * Show a quality degradation prompt card\n */\n function showQualityPrompt(link) {\n // Use consistent linkID computation (matches monitorLinkQuality)\n const linkID = link.link_id || (link.node_mac + ':' + link.peer_mac);\n\n // Check if already dismissed today\n const today = new Date().toDateString();\n const dismissKey = `${linkID}_${today}`;\n if (dismissedQualityPrompts.has(dismissKey)) {\n return;\n }\n\n qualityPromptActive = true;\n\n const linkName = link.name || formatLinkID(linkID);\n const qualityPercent = Math.round((link.composite_score || link.quality || 0) * 100);\n\n // Remove existing prompt if present\n const existing = document.getElementById('quality-prompt-card');\n if (existing) {\n existing.remove();\n }\n\n const prompt = document.createElement('div');\n prompt.id = 'quality-prompt-card';\n prompt.className = 'quality-prompt-card';\n prompt.innerHTML = `\n
\n ⚠️\n Detection quality has dropped\n \n
\n
\n

Detection quality has dropped on ${linkName} to ${qualityPercent}% reliability.

\n

This link is experiencing degraded performance, which may affect detection accuracy in this area.

\n
\n
\n \n \n
\n `;\n\n // Add to document\n document.body.appendChild(prompt);\n\n // Highlight the 3D link line if available\n highlightLinkIn3D(linkID);\n }\n\n /**\n * Dismiss the current quality prompt\n */\n function dismissQualityPrompt() {\n qualityPromptActive = false;\n qualityPromptLinkID = null;\n qualityPromptStartTime = null;\n\n const prompt = document.getElementById('quality-prompt-card');\n if (prompt) {\n prompt.remove();\n }\n\n // Remove link highlight\n unhighlightLinkIn3D();\n }\n\n /**\n * Dismiss the quality prompt for today only\n */\n function dismissQualityPromptForToday() {\n if (qualityPromptLinkID) {\n const today = new Date().toDateString();\n const dismissKey = `${qualityPromptLinkID}_${today}`;\n dismissedQualityPrompts.add(dismissKey);\n\n // Persist to localStorage\n try {\n const dismissed = Array.from(dismissedQualityPrompts);\n localStorage.setItem('spaxel_dismissed_quality_prompts', dismissed.join(','));\n } catch (e) {\n console.warn('Failed to save dismissed prompts:', e);\n }\n }\n\n dismissQualityPrompt();\n }\n\n /**\n * Load dismissed prompts from localStorage\n */\n function loadDismissedPrompts() {\n try {\n const saved = localStorage.getItem('spaxel_dismissed_quality_prompts');\n if (saved) {\n const today = new Date().toDateString();\n const all = saved.split(',').filter(id => id);\n // Only keep today's entries to prevent stale data buildup\n dismissedQualityPrompts = new Set(all.filter(key => key.endsWith(today)));\n }\n } catch (e) {\n console.warn('Failed to load dismissed prompts:', e);\n }\n }\n\n /**\n * Highlight a link in the 3D view with pulsing amber animation\n */\n function highlightLinkIn3D(linkID) {\n // Store original state before highlighting\n if (window.Viz3D && window.Viz3D.forEachLink) {\n window.Viz3D.forEachLink(function(line, id) {\n if (id === linkID && !line.userData.originalState) {\n // Store original material state\n line.userData.originalState = {\n opacity: line.material.opacity,\n transparent: line.material.transparent,\n color: line.material.color ? line.material.color.getHex() : null,\n emissiveColor: line.material.emissive ? line.material.emissive.getHex() : undefined,\n emissiveIntensity: line.material.emissive ? line.material.emissiveIntensity : 0\n };\n }\n });\n }\n\n // Use Viz3D highlightLink with amber color (0xff9800) and emissive glow\n if (window.Viz3D && window.Viz3D.highlightLink) {\n window.Viz3D.highlightLink(linkID, 0xff9800, 0xff9800, 0.5);\n }\n\n // Dispatch custom event\n window.dispatchEvent(new CustomEvent('spaxel:highlight-link', {\n detail: { linkID: linkID, highlight: true, pulsing: true }\n }));\n\n // Start pulsing animation for this link\n startLinkPulsing(linkID);\n }\n\n /**\n * Remove link highlight in 3D view\n */\n function unhighlightLinkIn3D() {\n const linkID = qualityPromptLinkID;\n\n if (linkID && window.Viz3D) {\n // Restore the link's original appearance using Viz3D's restore mechanism\n if (window.Viz3D.forEachLink) {\n window.Viz3D.forEachLink(function(line, id) {\n if (id === linkID && line.userData.originalState) {\n const orig = line.userData.originalState;\n line.material.opacity = orig.opacity;\n line.material.transparent = orig.transparent;\n if (line.material.color && orig.color !== null) {\n line.material.color.setHex(orig.color);\n }\n if (line.material.emissive) {\n line.material.emissiveIntensity = orig.emissiveIntensity || 0;\n if (orig.emissiveColor !== undefined) {\n line.material.emissive.setHex(orig.emissiveColor);\n }\n }\n line.material.needsUpdate = true;\n }\n });\n }\n\n window.dispatchEvent(new CustomEvent('spaxel:highlight-link', {\n detail: { linkID: linkID, highlight: false }\n }));\n }\n\n // Stop pulsing animation\n stopLinkPulsing();\n }\n\n /**\n * Start pulsing animation for a highlighted link\n */\n function startLinkPulsing(linkID) {\n // Stop any existing animation\n stopLinkPulsing();\n\n pulseTime = 0;\n const PULSE_CYCLE = 1.5; // 1.5 second pulse cycle\n\n function animatePulse(timestamp) {\n if (!qualityPromptActive || qualityPromptLinkID !== linkID) {\n return; // Stop animation\n }\n\n if (!pulsingAnimationID) {\n pulsingAnimationID = requestAnimationFrame(animatePulse);\n return;\n }\n\n pulseTime += 0.016; // Approximately 60fps\n\n // Calculate pulse phase (0 to 1)\n const phase = (pulseTime % PULSE_CYCLE) / PULSE_CYCLE;\n\n // Opacity oscillates: 0.3 -> 0.8 -> 0.3\n const intensity = 0.3 + 0.5 * (1 - Math.abs(phase - 0.5) * 2);\n\n // Apply pulsing effect to link\n if (window.Viz3D && window.Viz3D.highlightLink) {\n // Vary the emissive intensity for pulsing glow effect\n const baseIntensity = 0.3;\n const pulseIntensity = baseIntensity + (0.7 * intensity);\n window.Viz3D.highlightLink(linkID, 0xff9800, 0xff9800, pulseIntensity);\n }\n\n pulsingAnimationID = requestAnimationFrame(animatePulse);\n }\n\n pulsingAnimationID = requestAnimationFrame(animatePulse);\n }\n\n /**\n * Stop the link pulsing animation\n */\n function stopLinkPulsing() {\n if (pulsingAnimationID) {\n cancelAnimationFrame(pulsingAnimationID);\n pulsingAnimationID = null;\n }\n pulseTime = 0;\n }\n\n /**\n * Run diagnostics for a link and show results\n */\n function diagnoseLink(linkID) {\n // Fetch diagnostic results from API\n fetch(`/api/diagnostics/link/${encodeURIComponent(linkID)}`)\n .then(res => res.json())\n .then(data => {\n showDiagnosticResults(linkID, data);\n })\n .catch(err => {\n console.error('Failed to fetch diagnostics:', err);\n showDiagnosticError(linkID);\n });\n }\n\n /**\n * Show diagnostic results in a slide-out panel\n */\n function showDiagnosticResults(linkID, response) {\n // Remove existing panel if present\n const existing = document.getElementById('diagnostic-results-panel');\n if (existing) {\n existing.remove();\n }\n\n const panel = document.createElement('div');\n panel.id = 'diagnostic-results-panel';\n panel.className = 'diagnostic-results-panel';\n\n // Handle both old format (diagnosis array) and new format (response with diagnosis + health)\n const diagnosis = response.diagnosis || response[0] || {};\n const health = response.health || diagnosis.health || null;\n const hasDiagnosis = diagnosis.title !== undefined;\n const severity = (diagnosis.severity || 'info').toLowerCase();\n\n panel.innerHTML = `\n
\n

Link Diagnostics

\n \n
\n
\n \n\n ${hasDiagnosis ? `\n
\n
${diagnosis.title}
\n
${diagnosis.detail}
\n ${diagnosis.advice ? `
What to do: ${diagnosis.advice}
` : ''}\n ${diagnosis.confidence !== undefined ? `
Confidence: ${Math.round(diagnosis.confidence * 100)}%
` : ''}\n
\n ` : `\n
\n
No issues detected
\n
The link health metrics appear normal. The quality drop may be temporary.
\n
\n `}\n\n ${health ? `\n
\n

Current Health Metrics

\n ${renderHealthMetrics(health)}\n
\n ` : ''}\n\n ${response.repositioning ? `\n
\n

Suggested Repositioning

\n

Move ${response.repositioning.node_mac} to:

\n
\n X: ${response.repositioning.position.x.toFixed(1)}m,\n Y: ${response.repositioning.position.y.toFixed(1)}m,\n Z: ${response.repositioning.position.z.toFixed(1)}m\n
\n
\n ` : ''}\n
\n `;\n\n document.body.appendChild(panel);\n }\n\n /**\n * Show diagnostic error message\n */\n function showDiagnosticError(linkID) {\n const panel = document.createElement('div');\n panel.id = 'diagnostic-results-panel';\n panel.className = 'diagnostic-results-panel';\n panel.innerHTML = `\n
\n

Link Diagnostics

\n \n
\n
\n

Unable to fetch diagnostic data. Please try again.

\n
\n `;\n document.body.appendChild(panel);\n }\n\n /**\n * Render health metrics\n */\n function renderHealthMetrics(health) {\n if (!health) {\n return '';\n }\n\n // Handle both snapshot format and report format\n const snr = health.snr !== undefined ? health.snr : (health.SNR || 'N/A');\n const phaseStability = health.phase_stability !== undefined ? health.phase_stability : (health.PhaseStability || 'N/A');\n const packetRate = health.packet_rate !== undefined ? health.packet_rate : (health.PacketRate || 'N/A');\n const driftRate = health.drift_rate !== undefined ? health.drift_rate : (health.DriftRate || 'N/A');\n const compositeScore = health.composite_score !== undefined ? health.composite_score : (health.CompositeScore || 'N/A');\n\n return `\n
\n Packet Rate:\n ${typeof packetRate === 'number' ? packetRate.toFixed(1) : packetRate} Hz\n
\n
\n SNR:\n ${typeof snr === 'number' ? snr.toFixed(2) : snr}\n
\n
\n Phase Stability:\n ${typeof phaseStability === 'number' ? phaseStability.toFixed(2) : phaseStability}\n
\n
\n Drift Rate:\n ${typeof driftRate === 'number' ? driftRate.toFixed(4) : driftRate}\n
\n ${typeof compositeScore === 'number' ? `\n
\n Composite Score:\n ${Math.round(compositeScore * 100)}%\n
\n ` : ''}\n `;\n }\n\n // ===== Repeated-Setting Change Detection =====\n\n /**\n * Track a settings change for repeated-change detection\n */\n function trackSettingChange(settingKey, settingValue) {\n if (!QUALIFYING_SETTINGS.has(settingKey)) {\n return; // Not a qualifying setting\n }\n\n const now = Date.now();\n const windowMs = 24 * 60 * 60 * 1000; // 24 hours\n\n // Initialize history for this setting if needed\n if (!settingChangeHistory[settingKey]) {\n settingChangeHistory[settingKey] = [];\n }\n\n // Add new change\n settingChangeHistory[settingKey].push({\n timestamp: now,\n value: settingValue\n });\n\n // Remove old changes outside the 24h window\n const cutoff = now - windowMs;\n settingChangeHistory[settingKey] = settingChangeHistory[settingKey].filter(\n change => change.timestamp > cutoff\n );\n\n // Save to localStorage\n saveSettingHistory();\n\n // Check if we should show a hint\n checkSettingChangeHint(settingKey);\n }\n\n /**\n * Check if a setting change hint should be shown\n */\n function checkSettingChangeHint(settingKey) {\n // Check if hint was already shown for this setting\n if (settingChangeHintShown[settingKey]) {\n const lastShown = settingChangeHintShown[settingKey];\n const cooldownMs = 24 * 60 * 60 * 1000; // 24 hour cooldown\n if (Date.now() - lastShown < cooldownMs) {\n return; // Still in cooldown\n }\n }\n\n const changes = settingChangeHistory[settingKey] || [];\n if (changes.length >= 3) {\n // Show the hint\n showSettingChangeHint(settingKey);\n settingChangeHintShown[settingKey] = Date.now();\n saveSettingHintShown();\n }\n }\n\n /**\n * Show a hint for repeated setting changes\n */\n function showSettingChangeHint(settingKey) {\n const settingName = formatSettingName(settingKey);\n\n // Remove existing hint if present\n const existing = document.getElementById('setting-change-hint');\n if (existing) {\n existing.remove();\n }\n\n const hint = document.createElement('div');\n hint.id = 'setting-change-hint';\n hint.className = 'setting-change-hint';\n hint.innerHTML = `\n
\n 💡\n Fine-tuning assistance\n \n
\n
\n

Looks like you're fine-tuning the ${settingName}. Would you like help finding the right value for your space?

\n
\n
\n \n \n
\n `;\n\n document.body.appendChild(hint);\n }\n\n /**\n * Dismiss the setting change hint\n */\n function dismissSettingHint() {\n const hint = document.getElementById('setting-change-hint');\n if (hint) {\n hint.remove();\n }\n }\n\n /**\n * Start the guided calibration flow for a setting\n */\n function startCalibrationFlow(settingKey) {\n // Remove the hint\n dismissSettingHint();\n\n // Show the calibration flow modal\n showCalibrationFlow(settingKey);\n }\n\n /**\n * Show the guided calibration flow modal\n */\n function showCalibrationFlow(settingKey) {\n // Remove existing calibration modal if present\n const existing = document.getElementById('calibration-flow-modal');\n if (existing) {\n existing.remove();\n }\n\n const settingName = formatSettingName(settingKey);\n\n const modal = document.createElement('div');\n modal.id = 'calibration-flow-modal';\n modal.className = 'calibration-flow-modal';\n modal.innerHTML = `\n
\n
\n
\n

Guided Calibration: ${settingName}

\n \n
\n
\n \n
\n
\n `;\n\n document.body.appendChild(modal);\n\n // Start with the introduction step\n renderCalibrationStep(settingKey, 'intro');\n }\n\n /**\n * Render a calibration step\n */\n function renderCalibrationStep(settingKey, step, data = {}) {\n const content = document.getElementById('calibration-flow-content');\n if (!content) return;\n\n const steps = {\n intro: `\n
\n
🎯
\n

Let's find the optimal value together

\n

I'll guide you through two quick tests to analyze your space and suggest the best ${formatSettingName(settingKey)} value.

\n
\n
\n 1\n Walk around your room to test for false positives\n
\n
\n 2\n Sit still to test for missed motion detection\n
\n
\n 3\n I'll suggest an optimal value based on your space\n
\n
\n \n
\n `,\n\n 'false-positive-test': `\n
\n
\n
\n
\n
\n Step 1 of 2\n
\n
🚶
\n

Walk around your room

\n

For the next 15 seconds, walk around your room normally. This helps me understand your space's baseline signal patterns.

\n
15
\n
Getting ready...
\n
\n `,\n\n 'missed-motion-test': `\n
\n
\n
\n
\n
\n Step 2 of 2\n
\n
🧘
\n

Sit perfectly still

\n

For the next 10 seconds, sit or stand perfectly still. This helps me detect motion sensitivity issues.

\n
10
\n
Getting ready...
\n
\n `,\n\n analyzing: `\n
\n
\n
\n
\n
\n
\n
\n

Analyzing your space...

\n

Collecting diurnal baseline data and link health metrics to calculate the optimal value.

\n
\n `,\n\n suggestion: `\n
\n
\n

Here's my recommendation

\n
\n
\n Suggested ${formatSettingName(settingKey)}:\n --\n
\n
\n Calculating...\n
\n
\n
\n \n
\n
\n \n \n
\n
\n `\n };\n\n content.innerHTML = steps[step] || steps.intro;\n\n // Execute step-specific logic\n if (step === 'false-positive-test') {\n runCalibrationTest(settingKey, 'false-positive', 15);\n } else if (step === 'missed-motion-test') {\n runCalibrationTest(settingKey, 'missed-motion', 10);\n } else if (step === 'analyzing') {\n analyzeAndSuggest(settingKey);\n }\n }\n\n /**\n * Run a calibration test with countdown timer\n */\n function runCalibrationTest(settingKey, testType, duration) {\n const timerEl = document.getElementById('calibration-timer');\n const statusEl = document.getElementById('calibration-status');\n const progressFill = document.getElementById('calibration-progress-fill');\n const startTime = Date.now();\n\n // Update progress bar fill\n if (progressFill) {\n const targetWidth = testType === 'false-positive' ? '0%' : '50%';\n progressFill.style.width = targetWidth;\n }\n\n // Start collecting test data\n collectTestData(settingKey, testType);\n\n const interval = setInterval(() => {\n const elapsed = (Date.now() - startTime) / 1000;\n const remaining = Math.max(0, Math.ceil(duration - elapsed));\n\n if (timerEl) {\n timerEl.textContent = remaining;\n }\n\n // Update progress\n if (progressFill) {\n const baseWidth = testType === 'false-positive' ? 0 : 50;\n const progress = (elapsed / duration) * 50;\n progressFill.style.width = (baseWidth + progress) + '%';\n }\n\n if (elapsed >= 1 && elapsed < 3) {\n if (statusEl) statusEl.textContent = 'Recording baseline...';\n } else if (elapsed >= 3 && elapsed < duration - 2) {\n if (statusEl) statusEl.textContent = testType === 'false-positive' ? 'Walking... keep moving!' : 'Holding still...';\n } else if (elapsed >= duration - 2) {\n if (statusEl) statusEl.textContent = 'Finishing up...';\n }\n\n if (elapsed >= duration) {\n clearInterval(interval);\n finalizeTestData(settingKey, testType);\n\n // Move to next step\n if (testType === 'false-positive') {\n renderCalibrationStep(settingKey, 'missed-motion-test');\n } else {\n renderCalibrationStep(settingKey, 'analyzing');\n }\n }\n }, 100);\n }\n\n /**\n * Collect test data from the system\n */\n function collectTestData(settingKey, testType) {\n // Store test metadata for later analysis\n if (!window.calibrationTestData) {\n window.calibrationTestData = {};\n }\n window.calibrationTestData[testType] = {\n startTime: Date.now(),\n settingKey: settingKey\n };\n\n // Notify the system to start recording for this test\n window.dispatchEvent(new CustomEvent('spaxel:calibration-start', {\n detail: { testType: testType, settingKey: settingKey }\n }));\n }\n\n /**\n * Finalize test data collection\n */\n function finalizeTestData(settingKey, testType) {\n if (!window.calibrationTestData || !window.calibrationTestData[testType]) {\n return;\n }\n\n window.calibrationTestData[testType].endTime = Date.now();\n\n // Notify the system to stop recording\n window.dispatchEvent(new CustomEvent('spaxel:calibration-end', {\n detail: { testType: testType, settingKey: settingKey }\n }));\n }\n\n /**\n * Analyze test data and suggest optimal value\n */\n function analyzeAndSuggest(settingKey) {\n // Fetch diurnal baseline status and link health data\n Promise.all([\n fetch('/api/diurnal/status').then(r => r.json()).catch(() => null),\n fetch('/api/links').then(r => r.json()).catch(() => null)\n ]).then(([diurnalData, linksData]) => {\n const suggestion = calculateSuggestedValue(settingKey, diurnalData, linksData);\n renderSuggestion(settingKey, suggestion);\n }).catch(err => {\n console.error('Failed to fetch calibration data:', err);\n // Show fallback suggestion\n renderSuggestion(settingKey, getFallbackSuggestion(settingKey));\n });\n }\n\n /**\n * Calculate suggested value based on system data\n */\n function calculateSuggestedValue(settingKey, diurnalData, linksData) {\n const suggestion = {\n value: null,\n reason: '',\n metrics: []\n };\n\n const now = new Date();\n const currentHour = now.getHours();\n\n // Get average health score across all links (higher is better, 0-1 range)\n let avgHealthScore = 0.5; // default fallback\n let activeLinkCount = 0;\n\n if (Array.isArray(linksData)) {\n const healthScores = linksData.map(l => l.health_score || 0.5).filter(s => s >= 0);\n if (healthScores.length > 0) {\n avgHealthScore = healthScores.reduce((a, b) => a + b, 0) / healthScores.length;\n activeLinkCount = linksData.length;\n }\n }\n\n // Get diurnal baseline readiness/learning status\n let diurnalReady = false;\n let learningProgress = 0;\n\n if (Array.isArray(diurnalData) && diurnalData.length > 0) {\n // diurnalData is an array of DiurnalLearningStatus objects\n const readyCount = diurnalData.filter(d => d.is_ready).length;\n diurnalReady = readyCount > (diurnalData.length / 2); // Majority ready\n\n // Average learning progress (backend returns 'progress' field, 0-100 range)\n const progressValues = diurnalData.map(d => (d.progress || 0) / 100).filter(p => p >= 0);\n if (progressValues.length > 0) {\n learningProgress = progressValues.reduce((a, b) => a + b, 0) / progressValues.length;\n }\n }\n\n // Calculate suggestion based on setting type\n // Note: avgHealthScore is 0-1 where higher is better (unlike raw SNR)\n switch (settingKey) {\n case 'delta_rms_threshold':\n // Lower threshold for high health scores, higher for low health scores\n // Range: 0.01 - 0.10\n if (avgHealthScore > 0.8) {\n suggestion.value = 0.02;\n suggestion.reason = 'Your space has excellent link health. A lower threshold will detect subtle movements while minimizing false positives.';\n } else if (avgHealthScore > 0.6) {\n suggestion.value = 0.03;\n suggestion.reason = 'Your space has good link health. This threshold balances sensitivity with noise immunity.';\n } else {\n suggestion.value = 0.05;\n suggestion.reason = 'Your space has lower link health. A higher threshold reduces false positives from environmental noise.';\n }\n // Adjust based on diurnal readiness\n if (diurnalReady && learningProgress < 0.5) {\n suggestion.value *= 1.3; // Still learning needs higher threshold\n suggestion.reason += ' Adjusted up since your baselines are still learning.';\n }\n break;\n\n case 'breathing_sensitivity':\n // Range: 0.001 - 0.02\n if (avgHealthScore > 0.75) {\n suggestion.value = 0.005;\n suggestion.reason = 'High link health enables fine-grained breathing detection.';\n } else if (avgHealthScore > 0.55) {\n suggestion.value = 0.008;\n suggestion.reason = 'Good link health for reliable breathing detection.';\n } else {\n suggestion.value = 0.015;\n suggestion.reason = 'Lower link health requires higher sensitivity for breathing detection.';\n }\n break;\n\n case 'tau_s':\n // Baseline time constant: 5 - 120 seconds\n if (diurnalReady && learningProgress > 0.8) {\n suggestion.value = 30;\n suggestion.reason = 'Your diurnal baselines are well-calibrated. A 30-second time constant adapts quickly to real changes.';\n } else if (diurnalReady || learningProgress > 0.5) {\n suggestion.value = 60;\n suggestion.reason = 'Moderate baseline stability. A 60-second time constant provides stable adaptation.';\n } else {\n suggestion.value = 120;\n suggestion.reason = 'Your environment is still learning baselines. A longer time constant (120s) provides more stable detection.';\n }\n break;\n\n case 'fresnel_decay':\n // Zone decay rate: 1.0 - 4.0\n if (avgHealthScore > 0.75) {\n suggestion.value = 2.5;\n suggestion.reason = 'Strong link health supports tighter zone focus for better localization accuracy.';\n } else if (avgHealthScore > 0.55) {\n suggestion.value = 2.0;\n suggestion.reason = 'Balanced decay rate for your link health.';\n } else {\n suggestion.value = 1.5;\n suggestion.reason = 'Lower link health benefits from broader zone contribution.';\n }\n break;\n\n case 'n_subcarriers':\n // Subcarrier count: 8 - 16\n if (avgHealthScore > 0.75) {\n suggestion.value = 16;\n suggestion.reason = 'Excellent link health supports using all 16 subcarriers for maximum detail.';\n } else if (avgHealthScore > 0.55) {\n suggestion.value = 12;\n suggestion.reason = 'Good link health. 12 subcarriers balance detail with noise immunity.';\n } else {\n suggestion.value = 8;\n suggestion.reason = 'Lower link health. Fewer subcarriers reduce noise impact.';\n }\n break;\n\n default:\n suggestion.value = 0.03;\n suggestion.reason = 'Default suggestion based on average system performance.';\n }\n\n // Build metrics display\n const healthPercent = Math.round(avgHealthScore * 100);\n suggestion.metrics = [\n { label: 'Link Health', value: healthPercent + '%' },\n { label: 'Diurnal Ready', value: diurnalReady ? 'Yes' : 'Learning' },\n { label: 'Active Links', value: activeLinkCount.toString() }\n ];\n\n return suggestion;\n }\n\n /**\n * Get fallback suggestion when API data is unavailable\n */\n function getFallbackSuggestion(settingKey) {\n const defaults = {\n 'delta_rms_threshold': { value: 0.03, reason: 'Default value for typical home environments.' },\n 'breathing_sensitivity': { value: 0.008, reason: 'Default sensitivity for reliable breathing detection.' },\n 'tau_s': { value: 60, reason: 'Default 60-second time constant for stable adaptation.' },\n 'fresnel_decay': { value: 2.0, reason: 'Default inverse-square decay for balanced localization.' },\n 'n_subcarriers': { value: 12, reason: 'Default 12 subcarriers for balanced performance.' }\n };\n return defaults[settingKey] || { value: 0.03, reason: 'Default value.' };\n }\n\n /**\n * Render the suggestion step with calculated values\n */\n function renderSuggestion(settingKey, suggestion) {\n const content = document.getElementById('calibration-flow-content');\n if (!content) return;\n\n const formattedValue = formatSuggestedValue(settingKey, suggestion.value);\n\n content.innerHTML = `\n
\n
\n

Here's my recommendation

\n
\n
\n Suggested ${formatSettingName(settingKey)}:\n ${formattedValue}\n
\n
${suggestion.reason}
\n
\n
\n

Based on your space:

\n ${suggestion.metrics.map(m => `\n
\n ${m.label}:\n ${m.value}\n
\n `).join('')}\n
\n
\n \n \n
\n
\n `;\n }\n\n /**\n * Format a suggested value for display\n */\n function formatSuggestedValue(settingKey, value) {\n if (settingKey === 'tau_s') {\n return value + ' seconds';\n } else if (settingKey === 'n_subcarriers') {\n return value + ' subcarriers';\n } else if (settingKey === 'fresnel_decay') {\n return value.toFixed(1);\n }\n return value.toFixed(3);\n }\n\n /**\n * Apply the suggested value to the setting\n */\n function applySuggestedValue(settingKey, value) {\n // Show loading state\n const applyBtn = document.querySelector('.calibration-btn-primary');\n if (applyBtn) {\n applyBtn.disabled = true;\n applyBtn.textContent = 'Applying...';\n }\n\n // Build settings payload\n const settings = {};\n settings[settingKey] = value;\n\n // Send to API\n fetch('/api/settings', {\n method: 'PATCH',\n headers: {\n 'Content-Type': 'application/json'\n },\n body: JSON.stringify(settings)\n })\n .then(res => res.json())\n .then(data => {\n // Show success message\n showCalibrationSuccess(settingKey, value);\n\n // Notify other components of settings change\n window.dispatchEvent(new CustomEvent('spaxel:settings-changed', {\n detail: { key: settingKey, value: value }\n }));\n })\n .catch(err => {\n console.error('Failed to apply setting:', err);\n showCalibrationError();\n });\n }\n\n /**\n * Show calibration success message\n */\n function showCalibrationSuccess(settingKey, value) {\n const content = document.getElementById('calibration-flow-content');\n if (!content) return;\n\n const formattedValue = formatSuggestedValue(settingKey, value);\n\n content.innerHTML = `\n
\n
\n

Value applied!

\n

Your ${formatSettingName(settingKey)} has been set to ${formattedValue}.

\n

The system will now use this new value for detection. If you experience issues, you can adjust it again in Settings.

\n
\n \n
\n
\n `;\n }\n\n /**\n * Show calibration error message\n */\n function showCalibrationError() {\n const content = document.getElementById('calibration-flow-content');\n if (!content) return;\n\n content.innerHTML = `\n
\n
\n

Couldn't apply the value

\n

There was a problem saving the setting. Please try again or adjust it manually in Settings.

\n
\n \n
\n
\n `;\n }\n\n /**\n * Close the calibration flow modal\n */\n function closeCalibrationFlow() {\n const modal = document.getElementById('calibration-flow-modal');\n if (modal) {\n modal.classList.add('calibration-closing');\n setTimeout(() => modal.remove(), 300);\n }\n // Clean up test data\n if (window.calibrationTestData) {\n delete window.calibrationTestData;\n }\n }\n\n /**\n * Save setting change history to localStorage\n */\n function saveSettingHistory() {\n try {\n localStorage.setItem('spaxel_setting_changes', JSON.stringify(settingChangeHistory));\n } catch (e) {\n console.warn('Failed to save setting history:', e);\n }\n }\n\n /**\n * Save setting hint shown timestamps\n */\n function saveSettingHintShown() {\n try {\n localStorage.setItem('spaxel_setting_hints_shown', JSON.stringify(settingChangeHintShown));\n } catch (e) {\n console.warn('Failed to save hint shown state:', e);\n }\n }\n\n /**\n * Format a setting key for display\n */\n function formatSettingName(key) {\n const names = {\n 'delta_rms_threshold': 'Motion Threshold',\n 'breathing_sensitivity': 'Breathing Sensitivity',\n 'tau_s': 'Baseline Time Constant',\n 'fresnel_decay': 'Fresnel Weight Decay',\n 'n_subcarriers': 'Subcarrier Count'\n };\n return names[key] || key;\n }\n\n // ===== Post-Feedback Explanations =====\n\n /**\n * Show explanation after false positive feedback\n */\n function showFeedbackExplanation(eventData) {\n if (!eventData || !eventData.explainability) {\n return;\n }\n\n const explanation = eventData.explainability;\n const contributingLinks = explanation.contributing_links || [];\n const diagnosis = explanation.diagnosis || null;\n\n // Find the primary contributing link\n const primaryLink = contributingLinks.length > 0 ? contributingLinks[0] : null;\n\n let explanationText = '';\n\n if (primaryLink) {\n const linkName = formatLinkID(primaryLink.link_id);\n const deltaRMS = primaryLink.delta_rms?.toFixed(4) || 'N/A';\n const threshold = 0.02; // Standard threshold\n const ratio = (primaryLink.delta_rms / threshold).toFixed(1);\n\n explanationText = `The system detected motion here because: ${linkName}'s signal (deltaRMS: ${deltaRMS}) exceeded the motion threshold by ${ratio}x.`;\n\n // Add root cause from diagnostic if available\n if (diagnosis) {\n explanationText += `

Possible cause: ${diagnosis.detail}`;\n\n if (diagnosis.advice) {\n explanationText += `
What to do: ${diagnosis.advice}`;\n }\n explanationText += `

We've noted this and will apply corrections.`;\n } else {\n explanationText += `

Possible cause: Ambient RF interference or environmental changes. We've noted this and will apply corrections.`;\n }\n } else {\n explanationText = 'The system detected motion based on signal patterns across multiple links. We\\'ve noted this feedback to improve accuracy.';\n }\n\n // Create explanation element\n const explanationDiv = document.createElement('div');\n explanationDiv.className = 'feedback-explanation';\n explanationDiv.innerHTML = `\n
\n Why did this happen?\n
\n
\n

${explanationText}

\n ${contributingLinks.length > 1 ? `

Contributing links: ${contributingLinks.map(l => formatLinkID(l.link_id)).join(', ')}

` : ''}\n
\n `;\n\n return explanationDiv;\n }\n\n /**\n * Fetch diagnostic info for a link at a specific time\n */\n function fetchDiagnosticForLink(linkID, timestamp) {\n // Using the correct endpoint: /api/diagnostics/link/{linkID}?timestamp={ms}\n return fetch(`/api/diagnostics/link/${encodeURIComponent(linkID)}?timestamp=${timestamp}`)\n .then(res => {\n if (!res.ok) {\n throw new Error(`HTTP ${res.status}: ${res.statusText}`);\n }\n return res.json();\n })\n .catch(err => {\n console.error('Failed to fetch diagnostic:', err);\n return null;\n });\n }\n\n // ===== Helpers =====\n\n function formatLinkID(linkID) {\n if (!linkID) {\n return 'Unknown Link';\n }\n // Format MAC address pairs nicely\n const parts = linkID.split(':');\n if (parts.length === 2) {\n const mac1 = parts[0].substring(0, 8); // First 8 chars of first MAC\n const mac2 = parts[1].substring(0, 8); // First 8 chars of second MAC\n return `${mac1} → ${mac2}`;\n }\n return linkID.substring(0, 16) + '...';\n }\n\n // ===== Public API =====\n window.Proactive = {\n // Quality monitoring\n monitorLinkQuality: monitorLinkQuality,\n dismissQualityPrompt: dismissQualityPrompt,\n dismissQualityPromptForToday: dismissQualityPromptForToday,\n diagnoseLink: diagnoseLink,\n\n // Setting change tracking\n trackSettingChange: trackSettingChange,\n dismissSettingHint: dismissSettingHint,\n startCalibrationFlow: startCalibrationFlow,\n\n // Calibration flow\n startCalibrationStep: renderCalibrationStep,\n closeCalibrationFlow: closeCalibrationFlow,\n applySuggestedValue: applySuggestedValue,\n\n // Feedback explanations\n showFeedbackExplanation: showFeedbackExplanation,\n fetchDiagnosticForLink: fetchDiagnosticForLink,\n\n // Initialization\n init: function() {\n loadDismissedPrompts();\n\n // Listen for WebSocket messages with link health data\n window.addEventListener('spaxel:update', (e) => {\n if (e.detail && e.detail.links) {\n monitorLinkQuality(e.detail.links);\n }\n });\n\n // Listen for feedback submissions\n window.addEventListener('spaxel:feedback', (e) => {\n if (e.detail && e.detail.type === 'incorrect') {\n const explanation = this.showFeedbackExplanation(e.detail);\n if (explanation) {\n // Show explanation in feedback confirmation\n const feedbackPanel = document.getElementById('feedback-panel');\n if (feedbackPanel) {\n const contentArea = feedbackPanel.querySelector('.feedback-content');\n if (contentArea) {\n contentArea.appendChild(explanation);\n }\n }\n }\n }\n });\n\n // Check for server-side repeated edit hint flag\n checkServerEditHint();\n }\n };\n\n /**\n * Check for server-side repeated edit hint flag\n */\n function checkServerEditHint() {\n fetch('/api/settings')\n .then(res => res.json())\n .then(settings => {\n if (settings.repeated_edit_hint) {\n // Show the hint - the server detected repeated edits\n showSettingChangeHint('detected_by_server');\n }\n })\n .catch(err => {\n // Ignore errors - this is a nice-to-have feature\n });\n }\n\n // Initialize on load\n if (document.readyState === 'loading') {\n document.addEventListener('DOMContentLoaded', () => window.Proactive.init());\n } else {\n window.Proactive.init();\n }\n\n // Add styles\n const style = document.createElement('style');\n style.id = 'proactive-styles';\n style.textContent = `\n .quality-prompt-card {\n position: fixed;\n bottom: 100px;\n right: 20px;\n width: 380px;\n max-width: calc(100vw - 40px);\n background: rgba(255, 152, 0, 0.15);\n border: 1px solid rgba(255, 152, 0, 0.5);\n border-radius: 12px;\n box-shadow: 0 4px 20px rgba(0, 0, 0, 0.4);\n z-index: 200;\n animation: qualityPromptSlideIn 0.3s ease-out;\n }\n\n @keyframes qualityPromptSlideIn {\n from {\n opacity: 0;\n transform: translateY(20px);\n }\n to {\n opacity: 1;\n transform: translateY(0);\n }\n }\n\n .quality-prompt-header {\n display: flex;\n align-items: center;\n gap: 10px;\n padding: 14px 16px;\n border-bottom: 1px solid rgba(255, 152, 0, 0.3);\n }\n\n .quality-prompt-icon {\n font-size: 20px;\n }\n\n .quality-prompt-title {\n flex: 1;\n font-weight: 600;\n font-size: 14px;\n color: #ff9800;\n }\n\n .quality-prompt-close {\n background: none;\n border: none;\n color: #888;\n font-size: 20px;\n cursor: pointer;\n padding: 4px;\n }\n\n .quality-prompt-close:hover {\n color: #fff;\n }\n\n .quality-prompt-content {\n padding: 14px 16px;\n }\n\n .quality-prompt-content p {\n margin: 0 0 8px 0;\n font-size: 13px;\n line-height: 1.4;\n color: #ddd;\n }\n\n .quality-prompt-detail {\n color: #bbb;\n font-size: 12px;\n }\n\n .quality-prompt-actions {\n display: flex;\n gap: 8px;\n padding: 12px 16px;\n border-top: 1px solid rgba(255, 152, 0, 0.3);\n }\n\n .quality-prompt-btn {\n flex: 1;\n padding: 8px 14px;\n border-radius: 6px;\n font-size: 13px;\n cursor: pointer;\n border: none;\n transition: background 0.2s;\n }\n\n .quality-prompt-diagnose {\n background: #ff9800;\n color: #1a1a2e;\n font-weight: 500;\n }\n\n .quality-prompt-diagnose:hover {\n background: #fb8c00;\n }\n\n .quality-prompt-dismiss {\n background: rgba(255, 255, 255, 0.1);\n color: #ccc;\n }\n\n .quality-prompt-dismiss:hover {\n background: rgba(255, 255, 255, 0.15);\n }\n\n .diagnostic-results-panel {\n position: fixed;\n top: 0;\n right: 0;\n bottom: 0;\n width: 400px;\n max-width: calc(100vw - 40px);\n background: #1e1e3a;\n box-shadow: -4px 0 20px rgba(0, 0, 0, 0.5);\n z-index: 300;\n overflow-y: auto;\n animation: diagnosticSlideIn 0.3s ease-out;\n }\n\n @keyframes diagnosticSlideIn {\n from {\n transform: translateX(100%);\n }\n to {\n transform: translateX(0);\n }\n }\n\n .diagnostic-panel-header {\n display: flex;\n justify-content: space-between;\n align-items: center;\n padding: 16px 20px;\n border-bottom: 1px solid rgba(255, 255, 255, 0.1);\n }\n\n .diagnostic-panel-header h3 {\n margin: 0;\n font-size: 16px;\n color: #eee;\n }\n\n .diagnostic-close {\n background: none;\n border: none;\n color: #888;\n font-size: 24px;\n cursor: pointer;\n padding: 4px;\n }\n\n .diagnostic-close:hover {\n color: #fff;\n }\n\n .diagnostic-panel-content {\n padding: 20px;\n }\n\n .diagnostic-link-info {\n margin-bottom: 16px;\n padding: 12px;\n background: rgba(255, 255, 255, 0.05);\n border-radius: 6px;\n }\n\n .diagnostic-link-label {\n font-size: 11px;\n color: #888;\n text-transform: uppercase;\n }\n\n .diagnostic-link-id {\n margin-left: 8px;\n font-size: 14px;\n color: #4fc3f7;\n font-family: monospace;\n }\n\n .diagnostic-result {\n padding: 16px;\n border-radius: 8px;\n margin-bottom: 16px;\n }\n\n .diagnostic-severity-actionable {\n background: rgba(244, 67, 54, 0.1);\n border: 1px solid rgba(244, 67, 54, 0.3);\n }\n\n .diagnostic-severity-warning {\n background: rgba(255, 152, 0, 0.1);\n border: 1px solid rgba(255, 152, 0, 0.3);\n }\n\n .diagnostic-severity-info {\n background: rgba(76, 175, 80, 0.1);\n border: 1px solid rgba(76, 175, 80, 0.3);\n }\n\n .diagnostic-result-title {\n font-weight: 600;\n font-size: 14px;\n color: #eee;\n margin-bottom: 8px;\n }\n\n .diagnostic-result-detail {\n font-size: 13px;\n color: #bbb;\n line-height: 1.4;\n margin-bottom: 8px;\n }\n\n .diagnostic-result-advice {\n font-size: 12px;\n color: #aaa;\n padding-top: 8px;\n border-top: 1px solid rgba(255, 255, 255, 0.1);\n }\n\n .diagnostic-confidence {\n margin-top: 8px;\n padding-top: 8px;\n border-top: 1px solid rgba(255, 255, 255, 0.1);\n font-size: 11px;\n color: #888;\n }\n\n .diagnostic-health-metrics {\n margin-top: 20px;\n }\n\n .diagnostic-repositioning {\n margin-top: 16px;\n padding: 12px;\n background: rgba(79, 195, 247, 0.1);\n border: 1px solid rgba(79, 195, 247, 0.3);\n border-radius: 6px;\n }\n\n .diagnostic-repositioning h4 {\n margin: 0 0 8px 0;\n font-size: 12px;\n color: #4fc3f7;\n text-transform: uppercase;\n }\n\n .diagnostic-repositioning p {\n margin: 0 0 8px 0;\n font-size: 13px;\n color: #ccc;\n }\n\n .repositioning-coords {\n font-family: monospace;\n font-size: 12px;\n color: #4fc3f7;\n background: rgba(0, 0, 0, 0.2);\n padding: 8px;\n border-radius: 4px;\n }\n\n .diagnostic-health-metrics h4 {\n margin: 0 0 12px 0;\n font-size: 13px;\n color: #888;\n text-transform: uppercase;\n }\n\n .health-metric {\n display: flex;\n justify-content: space-between;\n padding: 8px 0;\n border-bottom: 1px solid rgba(255, 255, 255, 0.05);\n font-size: 13px;\n }\n\n .health-metric:last-child {\n border-bottom: none;\n }\n\n .metric-label {\n color: #888;\n }\n\n .metric-value {\n color: #4fc3f7;\n font-family: monospace;\n }\n\n .setting-change-hint {\n position: fixed;\n bottom: 100px;\n left: 50%;\n transform: translateX(-50%);\n width: 400px;\n max-width: calc(100vw - 40px);\n background: rgba(79, 195, 247, 0.15);\n border: 1px solid rgba(79, 195, 247, 0.5);\n border-radius: 12px;\n box-shadow: 0 4px 20px rgba(0, 0, 0, 0.4);\n z-index: 200;\n animation: hintSlideIn 0.3s ease-out;\n }\n\n @keyframes hintSlideIn {\n from {\n opacity: 0;\n transform: translateX(-50%) translateY(20px);\n }\n to {\n opacity: 1;\n transform: translateX(-50%) translateY(0);\n }\n }\n\n .hint-header {\n display: flex;\n align-items: center;\n gap: 10px;\n padding: 14px 16px;\n border-bottom: 1px solid rgba(79, 195, 247, 0.3);\n }\n\n .hint-icon {\n font-size: 20px;\n }\n\n .hint-title {\n flex: 1;\n font-weight: 600;\n font-size: 14px;\n color: #4fc3f7;\n }\n\n .hint-close {\n background: none;\n border: none;\n color: #888;\n font-size: 20px;\n cursor: pointer;\n padding: 4px;\n }\n\n .hint-content {\n padding: 14px 16px;\n }\n\n .hint-content p {\n margin: 0;\n font-size: 13px;\n line-height: 1.4;\n color: #ddd;\n }\n\n .hint-actions {\n display: flex;\n gap: 8px;\n padding: 12px 16px;\n border-top: 1px solid rgba(79, 195, 247, 0.3);\n }\n\n .hint-btn {\n flex: 1;\n padding: 8px 14px;\n border-radius: 6px;\n font-size: 13px;\n cursor: pointer;\n border: none;\n }\n\n .hint-btn-primary {\n background: #4fc3f7;\n color: #1a1a2e;\n font-weight: 500;\n }\n\n .hint-btn-secondary {\n background: rgba(255, 255, 255, 0.1);\n color: #ccc;\n }\n\n .feedback-explanation {\n margin-top: 12px;\n padding: 12px;\n background: rgba(79, 195, 247, 0.1);\n border: 1px solid rgba(79, 195, 247, 0.3);\n border-radius: 6px;\n }\n\n .explanation-header {\n margin-bottom: 8px;\n }\n\n .explanation-title {\n font-weight: 600;\n font-size: 13px;\n color: #4fc3f7;\n }\n\n .explanation-content {\n font-size: 12px;\n color: #bbb;\n line-height: 1.4;\n }\n\n .explanation-content strong {\n color: #ddd;\n }\n\n .explanation-additional-links {\n margin-top: 8px;\n padding-top: 8px;\n border-top: 1px solid rgba(255, 255, 255, 0.1);\n font-size: 11px;\n color: #888;\n }\n\n /* Calibration Flow Modal */\n .calibration-flow-modal {\n position: fixed;\n top: 0;\n left: 0;\n right: 0;\n bottom: 0;\n z-index: 1000;\n display: flex;\n align-items: center;\n justify-content: center;\n animation: modalFadeIn 0.2s ease-out;\n }\n\n .calibration-flow-modal.calibration-closing {\n animation: modalFadeOut 0.3s ease-in forwards;\n }\n\n @keyframes modalFadeIn {\n from { opacity: 0; }\n to { opacity: 1; }\n }\n\n @keyframes modalFadeOut {\n from { opacity: 1; }\n to { opacity: 0; }\n }\n\n .calibration-flow-backdrop {\n position: absolute;\n top: 0;\n left: 0;\n right: 0;\n bottom: 0;\n background: rgba(0, 0, 0, 0.7);\n backdrop-filter: blur(4px);\n }\n\n .calibration-flow-container {\n position: relative;\n width: 500px;\n max-width: calc(100vw - 40px);\n max-height: calc(100vh - 40px);\n background: #1e1e3a;\n border-radius: 16px;\n box-shadow: 0 8px 32px rgba(0, 0, 0, 0.6);\n display: flex;\n flex-direction: column;\n overflow: hidden;\n }\n\n .calibration-flow-header {\n display: flex;\n justify-content: space-between;\n align-items: center;\n padding: 20px 24px;\n border-bottom: 1px solid rgba(255, 255, 255, 0.1);\n }\n\n .calibration-flow-header h2 {\n margin: 0;\n font-size: 18px;\n color: #eee;\n }\n\n .calibration-close {\n background: none;\n border: none;\n color: #888;\n font-size: 24px;\n cursor: pointer;\n padding: 4px 8px;\n line-height: 1;\n }\n\n .calibration-close:hover {\n color: #fff;\n }\n\n .calibration-flow-content {\n padding: 24px;\n overflow-y: auto;\n flex: 1;\n }\n\n .calibration-step {\n text-align: center;\n }\n\n .calibration-icon {\n font-size: 48px;\n margin-bottom: 16px;\n }\n\n .calibration-icon.calibration-success {\n color: #4caf50;\n }\n\n .calibration-icon.calibration-error {\n color: #f44336;\n }\n\n .calibration-step h3 {\n margin: 0 0 12px 0;\n font-size: 20px;\n color: #eee;\n }\n\n .calibration-step p {\n margin: 0 0 16px 0;\n font-size: 14px;\n color: #bbb;\n line-height: 1.5;\n }\n\n .calibration-steps-overview {\n margin: 20px 0;\n text-align: left;\n }\n\n .overview-step {\n display: flex;\n align-items: center;\n gap: 12px;\n padding: 10px 0;\n }\n\n .overview-number {\n width: 28px;\n height: 28px;\n border-radius: 50%;\n background: rgba(79, 195, 247, 0.2);\n color: #4fc3f7;\n display: flex;\n align-items: center;\n justify-content: center;\n font-size: 13px;\n font-weight: 600;\n }\n\n .overview-text {\n font-size: 13px;\n color: #ccc;\n }\n\n .calibration-progress {\n margin-bottom: 20px;\n }\n\n .progress-bar {\n height: 6px;\n background: rgba(255, 255, 255, 0.1);\n border-radius: 3px;\n overflow: hidden;\n margin-bottom: 8px;\n }\n\n .progress-fill {\n height: 100%;\n background: linear-gradient(90deg, #4fc3f7, #29b6f6);\n border-radius: 3px;\n transition: width 0.3s ease;\n }\n\n .progress-text {\n font-size: 12px;\n color: #888;\n }\n\n .calibration-timer {\n font-size: 48px;\n font-weight: 700;\n color: #4fc3f7;\n margin: 20px 0;\n }\n\n .calibration-status {\n font-size: 14px;\n color: #bbb;\n }\n\n .calibration-spinner {\n width: 48px;\n height: 48px;\n border: 4px solid rgba(79, 195, 247, 0.2);\n border-top-color: #4fc3f7;\n border-radius: 50%;\n margin: 20px auto;\n animation: spin 1s linear infinite;\n }\n\n @keyframes spin {\n to { transform: rotate(360deg); }\n }\n\n .calibration-suggestion {\n background: rgba(79, 195, 247, 0.1);\n border: 1px solid rgba(79, 195, 247, 0.3);\n border-radius: 12px;\n padding: 20px;\n margin: 20px 0;\n }\n\n .suggestion-value {\n display: flex;\n justify-content: center;\n align-items: baseline;\n gap: 8px;\n margin-bottom: 12px;\n }\n\n .suggestion-label {\n font-size: 14px;\n color: #ccc;\n }\n\n .suggestion-number {\n font-size: 32px;\n font-weight: 700;\n color: #4fc3f7;\n }\n\n .suggestion-reason {\n font-size: 13px;\n color: #bbb;\n line-height: 1.5;\n }\n\n .calibration-metrics {\n margin: 20px 0;\n text-align: left;\n }\n\n .calibration-metrics h4 {\n margin: 0 0 12px 0;\n font-size: 12px;\n color: #888;\n text-transform: uppercase;\n }\n\n .calibration-metric {\n display: flex;\n justify-content: space-between;\n padding: 8px 0;\n border-bottom: 1px solid rgba(255, 255, 255, 0.05);\n font-size: 13px;\n }\n\n .calibration-metric:last-child {\n border-bottom: none;\n }\n\n .calibration-actions {\n display: flex;\n gap: 12px;\n margin-top: 20px;\n }\n\n .calibration-btn {\n flex: 1;\n padding: 12px 20px;\n border-radius: 8px;\n font-size: 14px;\n font-weight: 500;\n cursor: pointer;\n border: none;\n transition: background 0.2s;\n }\n\n .calibration-btn:disabled {\n opacity: 0.5;\n cursor: not-allowed;\n }\n\n .calibration-btn-primary {\n background: #4fc3f7;\n color: #1a1a2e;\n }\n\n .calibration-btn-primary:hover:not(:disabled) {\n background: #29b6f6;\n }\n\n .calibration-btn-secondary {\n background: rgba(255, 255, 255, 0.1);\n color: #ccc;\n }\n\n .calibration-btn-secondary:hover {\n background: rgba(255, 255, 255, 0.15);\n }\n\n .calibration-note {\n font-size: 12px;\n color: #888;\n margin-top: 12px;\n }\n\n .calibration-step-active {\n animation: pulse 2s ease-in-out infinite;\n }\n\n @keyframes pulse {\n 0%, 100% { opacity: 1; }\n 50% { opacity: 0.7; }\n }\n @keyframes pulse {\n 0%, 100% { opacity: 1; }\n 50% { opacity: 0.7; }\n }\n\n /* Feature Discovery Notifications */\n .feature-discovery-container {\n position: fixed;\n bottom: 20px;\n right: 20px;\n z-index: 250;\n display: flex;\n flex-direction: column;\n gap: 12px;\n pointer-events: none;\n }\n\n .feature-discovery-notification {\n pointer-events: auto;\n width: 380px;\n max-width: calc(100vw - 40px);\n background: linear-gradient(135deg, rgba(76, 175, 80, 0.15), rgba(76, 175, 80, 0.05));\n border: 1px solid rgba(76, 175, 80, 0.4);\n border-radius: 12px;\n box-shadow: 0 4px 20px rgba(0, 0, 0, 0.4);\n animation: featureDiscoverySlideIn 0.4s ease-out;\n overflow: hidden;\n }\n\n @keyframes featureDiscoverySlideIn {\n from {\n opacity: 0;\n transform: translateX(100%) scale(0.9);\n }\n to {\n opacity: 1;\n transform: translateX(0) scale(1);\n }\n }\n\n .feature-discovery-dismissed {\n animation: featureDiscoverySlideOut 0.3s ease-in forwards;\n }\n\n @keyframes featureDiscoverySlideOut {\n to {\n opacity: 0;\n transform: translateX(100%);\n margin-bottom: -100px;\n }\n }\n\n .feature-discovery-header {\n display: flex;\n align-items: center;\n gap: 10px;\n padding: 14px 16px;\n border-bottom: 1px solid rgba(76, 175, 80, 0.3);\n background: rgba(76, 175, 80, 0.1);\n }\n\n .feature-discovery-icon {\n font-size: 20px;\n }\n\n .feature-discovery-title {\n flex: 1;\n font-weight: 600;\n font-size: 14px;\n color: #81c784;\n }\n\n .feature-discovery-close {\n background: none;\n border: none;\n color: #888;\n font-size: 20px;\n cursor: pointer;\n padding: 4px;\n line-height: 1;\n }\n\n .feature-discovery-close:hover {\n color: #fff;\n }\n\n .feature-discovery-content {\n padding: 14px 16px;\n }\n\n .feature-discovery-content p {\n margin: 0;\n font-size: 13px;\n line-height: 1.5;\n color: #ddd;\n }\n\n .feature-discovery-actions {\n display: flex;\n gap: 8px;\n padding: 12px 16px;\n border-top: 1px solid rgba(76, 175, 80, 0.3);\n background: rgba(0, 0, 0, 0.2);\n }\n\n .feature-discovery-btn {\n flex: 1;\n padding: 8px 14px;\n border-radius: 6px;\n font-size: 13px;\n cursor: pointer;\n border: none;\n transition: all 0.2s;\n }\n\n .feature-discovery-primary {\n background: #4caf50;\n color: #1a1a2e;\n font-weight: 500;\n }\n\n .feature-discovery-primary:hover {\n background: #43a047;\n }\n\n .feature-discovery-secondary {\n background: rgba(255, 255, 255, 0.1);\n color: #ccc;\n }\n\n .feature-discovery-secondary:hover {\n background: rgba(255, 255, 255, 0.15);\n }\n\n .feature-discovery-sparkle {\n position: absolute;\n top: 10px;\n right: 10px;\n font-size: 16px;\n animation: sparkle 1.5s ease-in-out infinite;\n }\n\n @keyframes sparkle {\n 0%, 100% { opacity: 0.3; transform: scale(1); }\n 50% { opacity: 1; transform: scale(1.2); }\n }\n `;\n\n document.head.appendChild(style);\n\n // ===== Feature Discovery Notifications =====\n\n // State for feature notifications\n let featureNotificationCheckInterval = null;\n let pendingFeatureNotifications = [];\n let displayedNotificationIDs = new Set();\n\n /**\n * Start polling for feature discovery notifications\n */\n function startFeatureNotificationPolling() {\n // Check every 30 seconds\n if (featureNotificationCheckInterval) {\n clearInterval(featureNotificationCheckInterval);\n }\n\n // Initial check\n checkFeatureNotifications();\n\n featureNotificationCheckInterval = setInterval(() => {\n checkFeatureNotifications();\n }, 30000); // 30 seconds\n }\n\n /**\n * Stop polling for feature notifications\n */\n function stopFeatureNotificationPolling() {\n if (featureNotificationCheckInterval) {\n clearInterval(featureNotificationCheckInterval);\n featureNotificationCheckInterval = null;\n }\n }\n\n /**\n * Check for new feature discovery notifications\n */\n async function checkFeatureNotifications() {\n try {\n const response = await fetch('/api/help/notifications');\n if (!response.ok) {\n return;\n }\n\n const data = await response.json();\n const notifications = data.notifications || [];\n\n // Filter out already displayed notifications\n const newNotifications = notifications.filter(n => !displayedNotificationIDs.has(n.event_id));\n\n if (newNotifications.length > 0) {\n // Show each new notification\n for (const notification of newNotifications) {\n showFeatureNotification(notification);\n displayedNotificationIDs.add(notification.event_id);\n }\n }\n } catch (err) {\n console.error('[FeatureDiscovery] Failed to check notifications:', err);\n }\n }\n\n /**\n * Show a feature discovery notification card\n */\n function showFeatureNotification(notification) {\n // Create container if it doesn't exist\n let container = document.querySelector('.feature-discovery-container');\n if (!container) {\n container = document.createElement('div');\n container.className = 'feature-discovery-container';\n document.body.appendChild(container);\n }\n\n const card = document.createElement('div');\n card.className = 'feature-discovery-notification';\n card.dataset.eventId = notification.event_id;\n\n const actionButton = notification.action_label ? `\n \n ` : '';\n\n card.innerHTML = `\n
\n
\n 🎉\n ${notification.title}\n \n
\n
\n

${notification.message}

\n
\n ${actionButton ? `\n
\n ${actionButton}\n \n
\n ` : `\n
\n \n
\n `}\n `;\n\n // Add click handler for action button\n if (notification.action_label && notification.action_url) {\n const actionBtn = card.querySelector('.feature-discovery-primary');\n if (actionBtn) {\n actionBtn.addEventListener('click', () => {\n // Navigate to the action URL\n if (notification.action_url.startsWith('#')) {\n // Internal navigation\n if (window.SpaxelRouter) {\n window.SpaxelRouter.navigate(notification.action_url.substring(2));\n } else {\n window.location.hash = notification.action_url;\n }\n } else {\n // External link\n window.open(notification.action_url, '_blank');\n }\n // Dismiss after action\n dismissFeatureNotification(notification.event_id);\n });\n }\n }\n\n container.appendChild(card);\n\n // Auto-dismiss after 30 seconds if not interacted with\n setTimeout(() => {\n if (card.parentNode) {\n dismissFeatureNotification(notification.event_id);\n }\n }, 30000);\n }\n\n /**\n * Dismiss a feature discovery notification\n */\n async function dismissFeatureNotification(eventID) {\n // Remove from UI\n const card = document.querySelector(`.feature-discovery-notification[data-event-id=\"${eventID}\"]`);\n if (card) {\n card.classList.add('feature-discovery-dismissed');\n setTimeout(() => {\n if (card.parentNode) {\n card.remove();\n }\n }, 300);\n }\n\n // Acknowledge on server\n try {\n await fetch(`/api/help/notifications/${encodeURIComponent(eventID)}/acknowledge`, {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json'\n }\n });\n } catch (err) {\n console.error('[FeatureDiscovery] Failed to acknowledge notification:', err);\n }\n\n // Remove from displayed set\n displayedNotificationIDs.delete(eventID);\n }\n\n // Update public API to include feature discovery methods\n window.Proactive.startFeatureNotificationPolling = startFeatureNotificationPolling;\n window.Proactive.stopFeatureNotificationPolling = stopFeatureNotificationPolling;\n window.Proactive.dismissFeatureNotification = dismissFeatureNotification;\n\n // Start feature notification polling on init\n const originalInit = window.Proactive.init;\n window.Proactive.init = function() {\n if (originalInit) {\n originalInit.call(this);\n }\n startFeatureNotificationPolling();\n };\n\n})();\n","numLines":2427,"startLine":1,"totalLines":2427}}} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_d3a910063b88478faa844f84","type":"tool_result","content":"1\t// Package diagnostics implements link weather diagnostics with root-cause analysis\n2\t// and actionable repositioning advice.\n3\tpackage diagnostics\n4\t\n5\timport (\n6\t\t\"context\"\n7\t\t\"fmt\"\n8\t\t\"log\"\n9\t\t\"math\"\n10\t\t\"sort\"\n11\t\t\"sync\"\n12\t\t\"time\"\n13\t)\n14\t\n15\t// DiagnosisSeverity represents the severity level of a diagnosis\n16\ttype DiagnosisSeverity string\n17\t\n18\tconst (\n19\t\tSeverityINFO DiagnosisSeverity = \"INFO\" // Informational, no action needed\n20\t\tSeverityWARNING DiagnosisSeverity = \"WARNING\" // Attention recommended\n21\t\tSeverityACTIONABLE DiagnosisSeverity = \"ACTIONABLE\" // Specific action required\n22\t)\n23\t\n24\t// Diagnosis represents a diagnostic finding for a link\n25\ttype Diagnosis struct {\n26\t\tLinkID string\n27\t\tRuleID string // Identifies which rule fired\n28\t\tSeverity DiagnosisSeverity // INFO, WARNING, ACTIONABLE\n29\t\tTitle string // Human-readable headline\n30\t\tDetail string // Explanation in plain language\n31\t\tAdvice string // Specific actionable steps\n32\t\tRepositioningTarget *Vec3 // 3D position to move node, or nil\n33\t\tRepositioningNodeMAC string // Which node to move\n34\t\tConfidenceScore float64 // How confident the engine is (0-1)\n35\t\tTimestamp time.Time\n36\t}\n37\t\n38\t// Vec3 represents a 3D position\n39\ttype Vec3 struct {\n40\t\tX float64\n41\t\tY float64\n42\t\tZ float64\n43\t}\n44\t\n45\t// LinkHealthSnapshot represents a health snapshot for diagnostic analysis\n46\ttype LinkHealthSnapshot struct {\n47\t\tTimestamp time.Time\n48\t\tSNR float64\n49\t\tPhaseStability float64\n50\t\tPacketRate float64\n51\t\tDriftRate float64\n52\t\tCompositeScore float64\n53\t\tDeltaRMSVariance float64 // For periodic interference detection\n54\t\tIsQuietPeriod bool // True if no motion detected\n55\t}\n56\t\n57\t// FeedbackEvent represents user-reported false negative/positive for Rule 4\n58\ttype FeedbackEvent struct {\n59\t\tLinkID string\n60\t\tEventType string // \"false_negative\" or \"false_positive\"\n61\t\tPosition Vec3 // Where the event occurred\n62\t\tTimestamp time.Time\n63\t}\n64\t\n65\t// DiagnosticConfig holds configuration for the DiagnosticEngine\n66\ttype DiagnosticConfig struct {\n67\t\tDiagnosticInterval time.Duration // How often to run diagnostics (default 15m)\n68\t\tHistoryWindow time.Duration // How much history to analyze (default 1h)\n69\t\tMinSamples int // Minimum samples needed for diagnosis\n70\t}\n71\t\n72\t// DiagnosticEngine runs background diagnostics on link health\n73\ttype DiagnosticEngine struct {\n74\t\tmu sync.RWMutex\n75\t\n76\t\tconfig DiagnosticConfig\n77\t\n78\t\t// Health data access\n79\t\tgetHealthHistory func(linkID string, window time.Duration) []LinkHealthSnapshot\n80\t\tgetAllLinkIDs func() []string\n81\t\n82\t\t// Feedback data access (for Rule 4)\n83\t\tgetFeedbackEvents func(linkID string, window time.Duration) []FeedbackEvent\n84\t\n85\t\t// Repositioning computation (for Rule 4)\n86\t\tcomputeRepositioning func(linkID string, blockedZone Vec3) (Vec3, float64, error)\n87\t\n88\t\t// GDOP calculator access\n89\t\tgetGDOPImprovement func(nodeMAC string, targetPos Vec3) float64\n90\t\n91\t\t// Node position access\n92\t\tgetNodePosition func(mac string) (Vec3, bool)\n93\t\n94\t\t// Occupancy state for quiet period detection\n95\t\tgetOccupancyState func() int // Returns number of detected persons\n96\t\n97\t\t// Recent diagnoses per link (last N diagnoses)\n98\t\trecentDiagnoses map[string][]Diagnosis\n99\t\tmaxDiagnoses int\n100\t\n101\t\t// Running state\n102\t\trunning bool\n103\t\tctx context.Context\n104\t\tcancel context.CancelFunc\n105\t}\n106\t\n107\t// NewDiagnosticEngine creates a new diagnostic engine\n108\tfunc NewDiagnosticEngine(cfg DiagnosticConfig) *DiagnosticEngine {\n109\t\tif cfg.DiagnosticInterval == 0 {\n110\t\t\tcfg.DiagnosticInterval = 15 * time.Minute\n111\t\t}\n112\t\tif cfg.HistoryWindow == 0 {\n113\t\t\tcfg.HistoryWindow = 1 * time.Hour\n114\t\t}\n115\t\tif cfg.MinSamples == 0 {\n116\t\t\tcfg.MinSamples = 10\n117\t\t}\n118\t\n119\t\treturn &DiagnosticEngine{\n120\t\t\tconfig: cfg,\n121\t\t\trecentDiagnoses: make(map[string][]Diagnosis),\n122\t\t\tmaxDiagnoses: 10,\n123\t\t}\n124\t}\n125\t\n126\t// SetHealthHistoryAccessor sets the function to get health history\n127\tfunc (de *DiagnosticEngine) SetHealthHistoryAccessor(fn func(linkID string, window time.Duration) []LinkHealthSnapshot) {\n128\t\tde.mu.Lock()\n129\t\tde.getHealthHistory = fn\n130\t\tde.mu.Unlock()\n131\t}\n132\t\n133\t// SetAllLinkIDsAccessor sets the function to get all link IDs\n134\tfunc (de *DiagnosticEngine) SetAllLinkIDsAccessor(fn func() []string) {\n135\t\tde.mu.Lock()\n136\t\tde.getAllLinkIDs = fn\n137\t\tde.mu.Unlock()\n138\t}\n139\t\n140\t// SetFeedbackAccessor sets the function to get feedback events\n141\tfunc (de *DiagnosticEngine) SetFeedbackAccessor(fn func(linkID string, window time.Duration) []FeedbackEvent) {\n142\t\tde.mu.Lock()\n143\t\tde.getFeedbackEvents = fn\n144\t\tde.mu.Unlock()\n145\t}\n146\t\n147\t// SetRepositioningComputer sets the function to compute repositioning targets\n148\tfunc (de *DiagnosticEngine) SetRepositioningComputer(fn func(linkID string, blockedZone Vec3) (Vec3, float64, error)) {\n149\t\tde.mu.Lock()\n150\t\tde.computeRepositioning = fn\n151\t\tde.mu.Unlock()\n152\t}\n153\t\n154\t// SetGDOPImprovementAccessor sets the function to get GDOP improvement estimates\n155\tfunc (de *DiagnosticEngine) SetGDOPImprovementAccessor(fn func(nodeMAC string, targetPos Vec3) float64) {\n156\t\tde.mu.Lock()\n157\t\tde.getGDOPImprovement = fn\n158\t\tde.mu.Unlock()\n159\t}\n160\t\n161\t// SetNodePositionAccessor sets the function to get node positions\n162\tfunc (de *DiagnosticEngine) SetNodePositionAccessor(fn func(mac string) (Vec3, bool)) {\n163\t\tde.mu.Lock()\n164\t\tde.getNodePosition = fn\n165\t\tde.mu.Unlock()\n166\t}\n167\t\n168\t// SetOccupancyAccessor sets the function to get occupancy state\n169\tfunc (de *DiagnosticEngine) SetOccupancyAccessor(fn func() int) {\n170\t\tde.mu.Lock()\n171\t\tde.getOccupancyState = fn\n172\t\tde.mu.Unlock()\n173\t}\n174\t\n175\t// Run starts the diagnostic engine background loop\n176\tfunc (de *DiagnosticEngine) Run(ctx context.Context) {\n177\t\tde.mu.Lock()\n178\t\tif de.running {\n179\t\t\tde.mu.Unlock()\n180\t\t\treturn\n181\t\t}\n182\t\tde.running = true\n183\t\tde.ctx, de.cancel = context.WithCancel(ctx)\n184\t\tde.mu.Unlock()\n185\t\n186\t\tticker := time.NewTicker(de.config.DiagnosticInterval)\n187\t\tdefer ticker.Stop()\n188\t\n189\t\tlog.Printf(\"[INFO] diagnostics: engine started (interval: %v)\", de.config.DiagnosticInterval)\n190\t\n191\t\tfor {\n192\t\t\tselect {\n193\t\t\tcase <-de.ctx.Done():\n194\t\t\t\tlog.Printf(\"[INFO] diagnostics: engine stopped\")\n195\t\t\t\treturn\n196\t\t\tcase <-ticker.C:\n197\t\t\t\tde.runDiagnosticPass()\n198\t\t\t}\n199\t\t}\n200\t}\n201\t\n202\t// Stop stops the diagnostic engine\n203\tfunc (de *DiagnosticEngine) Stop() {\n204\t\tde.mu.Lock()\n205\t\tdefer de.mu.Unlock()\n206\t\tif de.cancel != nil {\n207\t\t\tde.cancel()\n208\t\t}\n209\t\tde.running = false\n210\t}\n211\t\n212\t// runDiagnosticPass runs all diagnostic rules on all links\n213\tfunc (de *DiagnosticEngine) runDiagnosticPass() {\n214\t\tde.mu.RLock()\n215\t\tgetAllLinkIDs := de.getAllLinkIDs\n216\t\tde.mu.RUnlock()\n217\t\n218\t\tif getAllLinkIDs == nil {\n219\t\t\treturn\n220\t\t}\n221\t\n222\t\tlinkIDs := getAllLinkIDs()\n223\t\tfor _, linkID := range linkIDs {\n224\t\t\tdiagnoses := de.diagnoseLink(linkID)\n225\t\t\tif len(diagnoses) > 0 {\n226\t\t\t\tde.storeDiagnoses(linkID, diagnoses)\n227\t\t\t}\n228\t\t}\n229\t}\n230\t\n231\t// diagnoseLink runs all diagnostic rules on a single link\n232\tfunc (de *DiagnosticEngine) diagnoseLink(linkID string) []Diagnosis {\n233\t\tde.mu.RLock()\n234\t\tgetHealthHistory := de.getHealthHistory\n235\t\twindow := de.config.HistoryWindow\n236\t\tde.mu.RUnlock()\n237\t\t_ = de.getFeedbackEvents\n238\t\t_ = de.getOccupancyState\n239\t\n240\t\tif getHealthHistory == nil {\n241\t\t\treturn nil\n242\t\t}\n243\t\n244\t\thistory := getHealthHistory(linkID, window)\n245\t\tif len(history) < de.config.MinSamples {\n246\t\t\treturn nil\n247\t\t}\n248\t\n249\t\tvar diagnoses []Diagnosis\n250\t\n251\t\t// Rule 1: Environmental Change\n252\t\tif d := de.checkEnvironmentalChange(linkID, history); d != nil {\n253\t\t\tdiagnoses = append(diagnoses, *d)\n254\t\t}\n255\t\n256\t\t// Rule 2: WiFi Congestion or Distance\n257\t\tif d := de.checkWiFiCongestion(linkID, history); d != nil {\n258\t\t\tdiagnoses = append(diagnoses, *d)\n259\t\t}\n260\t\n261\t\t// Rule 3: Near-Field Metal Interference\n262\t\tif d := de.checkMetalInterference(linkID, history); d != nil {\n263\t\t\tdiagnoses = append(diagnoses, *d)\n264\t\t}\n265\t\n266\t\t// Rule 4: Fresnel Zone Blockage\n267\t\tif d := de.checkFresnelBlockage(linkID, history); d != nil {\n268\t\t\tdiagnoses = append(diagnoses, *d)\n269\t\t}\n270\t\n271\t\t// Rule 5: Periodic Interference Spikes\n272\t\tif d := de.checkPeriodicInterference(linkID, history); d != nil {\n273\t\t\tdiagnoses = append(diagnoses, *d)\n274\t\t}\n275\t\n276\t\treturn diagnoses\n277\t}\n278\t\n279\t// Rule 1: Environmental Change\n280\t// Trigger: High baseline drift (>5% per hour) correlated across multiple links simultaneously (>50% of active links).\n281\tfunc (de *DiagnosticEngine) checkEnvironmentalChange(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n282\t\tde.mu.RLock()\n283\t\tgetAllLinkIDs := de.getAllLinkIDs\n284\t\tgetHealthHistory := de.getHealthHistory\n285\t\tde.mu.RUnlock()\n286\t\n287\t\tif getAllLinkIDs == nil || getHealthHistory == nil {\n288\t\t\treturn nil\n289\t\t}\n290\t\n291\t\t// Calculate drift rate for this link\n292\t\tavgDrift := calculateAverageDrift(history)\n293\t\tif avgDrift < 0.05 { // < 5% per hour\n294\t\t\treturn nil\n295\t\t}\n296\t\n297\t\t// Check if drift is correlated across multiple links\n298\t\tallLinks := getAllLinkIDs()\n299\t\tcorrelatedCount := 0\n300\t\ttotalActive := 0\n301\t\n302\t\tfor _, lid := range allLinks {\n303\t\t\tlhistory := getHealthHistory(lid, de.config.HistoryWindow)\n304\t\t\tif len(lhistory) < de.config.MinSamples {\n305\t\t\t\tcontinue\n306\t\t\t}\n307\t\t\ttotalActive++\n308\t\t\tlavgDrift := calculateAverageDrift(lhistory)\n309\t\t\tif lavgDrift >= 0.05 {\n310\t\t\t\tcorrelatedCount++\n311\t\t\t}\n312\t\t}\n313\t\n314\t\tif totalActive == 0 {\n315\t\t\treturn nil\n316\t\t}\n317\t\n318\t\tcorrelationRatio := float64(correlatedCount) / float64(totalActive)\n319\t\tif correlationRatio < 0.5 {\n320\t\t\treturn nil // Not correlated enough\n321\t\t}\n322\t\n323\t\t// Confidence: 0.85 if drift is correlated across >50% of links\n324\t\tconfidence := 0.85\n325\t\n326\t\treturn &Diagnosis{\n327\t\t\tLinkID: linkID,\n328\t\t\tRuleID: \"environmental_change\",\n329\t\t\tSeverity: SeverityINFO,\n330\t\t\tTitle: \"Environmental change detected\",\n331\t\t\tDetail: \"Multiple sensing links are showing simultaneous baseline shifts. This typically indicates a temperature change, or a large object was moved in the space. The system is adapting automatically.\",\n332\t\t\tAdvice: \"No action needed. The baseline will re-stabilise within 30 minutes.\",\n333\t\t\tRepositioningTarget: nil,\n334\t\t\tConfidenceScore: confidence,\n335\t\t\tTimestamp: time.Now(),\n336\t\t}\n337\t}\n338\t\n339\t// Rule 2: WiFi Congestion or Distance\n340\t// Trigger: Packet rate health < 0.8 for more than 10 minutes on a single link.\n341\tfunc (de *DiagnosticEngine) checkWiFiCongestion(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n342\t\t// Check if packet rate has been low for > 10 minutes\n343\t\t// Expected rate is 20 Hz, so health < 0.8 means < 16 Hz\n344\t\tpacketHealthThreshold := 0.8\n345\t\tminDuration := 10 * time.Minute\n346\t\n347\t\tif len(history) < 2 {\n348\t\t\treturn nil\n349\t\t}\n350\t\n351\t\t// Find the time span of history (handles both ascending and descending order)\n352\t\tstartTime := history[0].Timestamp\n353\t\tendTime := history[len(history)-1].Timestamp\n354\t\tduration := endTime.Sub(startTime)\n355\t\tif duration < 0 {\n356\t\t\tduration = -duration\n357\t\t}\n358\t\n359\t\tif duration < minDuration {\n360\t\t\treturn nil\n361\t\t}\n362\t\n363\t\t// Check if packet rate health has been consistently low\n364\t\tlowCount := 0\n365\t\ttotalCount := 0\n366\t\tvar avgPacketRate float64\n367\t\n368\t\tfor _, h := range history {\n369\t\t\t// Packet rate health: actual/expected (20 Hz)\n370\t\t\trateHealth := h.PacketRate / 20.0\n371\t\t\tavgPacketRate += h.PacketRate\n372\t\t\ttotalCount++\n373\t\t\tif rateHealth < packetHealthThreshold {\n374\t\t\t\tlowCount++\n375\t\t\t}\n376\t\t}\n377\t\n378\t\tif totalCount == 0 {\n379\t\t\treturn nil\n380\t\t}\n381\t\n382\t\tavgPacketRate /= float64(totalCount)\n383\t\tlowRatio := float64(lowCount) / float64(totalCount)\n384\t\n385\t\t// Require > 80% of samples to have low packet rate\n386\t\tif lowRatio < 0.8 {\n387\t\t\treturn nil\n388\t\t}\n389\t\n390\t\t// Extract node B MAC from linkID\n391\t\tnodeBMAC := extractNodeBMAC(linkID)\n392\t\n393\t\treturn &Diagnosis{\n394\t\t\tLinkID: linkID,\n395\t\t\tRuleID: \"wifi_congestion_distance\",\n396\t\t\tSeverity: SeverityACTIONABLE,\n397\t\t\tTitle: \"Node has low signal rate\",\n398\t\t\tDetail: formatWiFiDetail(nodeBMAC, avgPacketRate),\n399\t\t\tAdvice: formatWiFiAdvice(nodeBMAC),\n400\t\t\tRepositioningTarget: nil,\n401\t\t\tRepositioningNodeMAC: nodeBMAC,\n402\t\t\tConfidenceScore: 0.75,\n403\t\t\tTimestamp: time.Now(),\n404\t\t}\n405\t}\n406\t\n407\t// Rule 3: Near-Field Metal Interference\n408\t// Trigger: Low phase stability (< 0.4) sustained for > 30 minutes during known-quiet periods.\n409\tfunc (de *DiagnosticEngine) checkMetalInterference(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n410\t\t// Phase stability: lower is more stable. We need to check if stability score is low.\n411\t\t// In the codebase, PhaseStability is normalized variance where < 0.4 is stable\n412\t\t// So \"low phase stability\" means the value is HIGH (> 0.6 or so)\n413\t\t// Actually looking at ambient.go: stability score of 0.1 is very stable, 1.0 is unstable\n414\t\t// The task says \"Low phase stability (< 0.4)\" but this is confusing.\n415\t\t// Looking at weather.go: phaseStabilityWarn = 0.5, phaseStabilityCrit = 0.8\n416\t\t// I'll interpret \"low phase stability\" as \"high phase variance\" i.e. PhaseStability > 0.6\n417\t\n418\t\tphaseThreshold := 0.6 // High variance = unstable\n419\t\tminDuration := 30 * time.Minute\n420\t\n421\t\tif len(history) < 2 {\n422\t\t\treturn nil\n423\t\t}\n424\t\n425\t\t// Check if we've had enough time (handles both ascending and descending order)\n426\t\tstartTime := history[0].Timestamp\n427\t\tendTime := history[len(history)-1].Timestamp\n428\t\tduration := endTime.Sub(startTime)\n429\t\tif duration < 0 {\n430\t\t\tduration = -duration\n431\t\t}\n432\t\n433\t\tif duration < minDuration {\n434\t\t\treturn nil\n435\t\t}\n436\t\n437\t\t// Count samples during quiet periods with high phase instability\n438\t\tunstableQuietCount := 0\n439\t\ttotalQuietCount := 0\n440\t\n441\t\tfor _, h := range history {\n442\t\t\tif h.IsQuietPeriod {\n443\t\t\t\ttotalQuietCount++\n444\t\t\t\tif h.PhaseStability > phaseThreshold {\n445\t\t\t\t\tunstableQuietCount++\n446\t\t\t\t}\n447\t\t\t}\n448\t\t}\n449\t\n450\t\t// Need enough quiet period samples\n451\t\tif totalQuietCount < 10 {\n452\t\t\treturn nil\n453\t\t}\n454\t\n455\t\t// Require > 70% of quiet period samples to have instability\n456\t\tunstableRatio := float64(unstableQuietCount) / float64(totalQuietCount)\n457\t\tif unstableRatio < 0.7 {\n458\t\t\treturn nil\n459\t\t}\n460\t\n461\t\tnodeAMAC := extractNodeAMAC(linkID)\n462\t\n463\t\treturn &Diagnosis{\n464\t\t\tLinkID: linkID,\n465\t\t\tRuleID: \"metal_interference\",\n466\t\t\tSeverity: SeverityACTIONABLE,\n467\t\t\tTitle: formatMetalTitle(nodeAMAC),\n468\t\t\tDetail: formatMetalDetail(linkID),\n469\t\t\tAdvice: formatMetalAdvice(nodeAMAC),\n470\t\t\tRepositioningTarget: nil,\n471\t\t\tRepositioningNodeMAC: nodeAMAC,\n472\t\t\tConfidenceScore: 0.80,\n473\t\t\tTimestamp: time.Now(),\n474\t\t}\n475\t}\n476\t\n477\t// Rule 4: Fresnel Zone Blockage (Half-Room Dead Zone)\n478\t// Trigger: Consistent miss rate (>30% of test walks that should be detected are missed)\n479\t// in a specific area of the room.\n480\tfunc (de *DiagnosticEngine) checkFresnelBlockage(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n481\t\tde.mu.RLock()\n482\t\tgetFeedbackEvents := de.getFeedbackEvents\n483\t\tcomputeRepositioning := de.computeRepositioning\n484\t\tgetNodePosition := de.getNodePosition\n485\t\tde.mu.RUnlock()\n486\t\n487\t\tif getFeedbackEvents == nil {\n488\t\t\t// No feedback data - try heuristic approach\n489\t\t\treturn de.checkFresnelBlockageHeuristic(linkID, history)\n490\t\t}\n491\t\n492\t\t// Get recent false negative feedback events\n493\t\tevents := getFeedbackEvents(linkID, 7*24*time.Hour) // Last 7 days\n494\t\tif len(events) < 5 {\n495\t\t\t// Not enough feedback data\n496\t\t\treturn de.checkFresnelBlockageHeuristic(linkID, history)\n497\t\t}\n498\t\n499\t\t// Cluster false negatives by position\n500\t\tfalseNegatives := make([]FeedbackEvent, 0)\n501\t\tfor _, e := range events {\n502\t\t\tif e.EventType == \"false_negative\" {\n503\t\t\t\tfalseNegatives = append(falseNegatives, e)\n504\t\t\t}\n505\t\t}\n506\t\n507\t\tif len(falseNegatives) < 3 {\n508\t\t\treturn nil\n509\t\t}\n510\t\n511\t\t// Find the center of the blocked zone\n512\t\tblockedZone := findClusterCenter(falseNegatives)\n513\t\n514\t\t// Compute optimal repositioning target\n515\t\tvar target *Vec3\n516\t\tvar improvement float64\n517\t\tvar targetNodeMAC string\n518\t\n519\t\tif computeRepositioning != nil {\n520\t\t\tpos, imp, err := computeRepositioning(linkID, blockedZone)\n521\t\t\tif err == nil && imp > 0.1 {\n522\t\t\t\ttarget = &pos\n523\t\t\t\timprovement = imp\n524\t\t\t\ttargetNodeMAC = extractNodeBMAC(linkID)\n525\t\t\t}\n526\t\t}\n527\t\n528\t\t// Verify node position access for description\n529\t\tvar zoneDesc string\n530\t\tif getNodePosition != nil {\n531\t\t\tzoneDesc = formatZoneDescription(blockedZone)\n532\t\t} else {\n533\t\t\tzoneDesc = \"one side of the room\"\n534\t\t}\n535\t\n536\t\tnodeBMAC := extractNodeBMAC(linkID)\n537\t\tdetail := formatFresnelDetail(linkID, zoneDesc)\n538\t\tadvice := formatFresnelAdvice(nodeBMAC, &blockedZone, target, improvement)\n539\t\n540\t\treturn &Diagnosis{\n541\t\t\tLinkID: linkID,\n542\t\t\tRuleID: \"fresnel_blockage\",\n543\t\t\tSeverity: SeverityACTIONABLE,\n544\t\t\tTitle: \"Coverage gap detected - possible obstruction\",\n545\t\t\tDetail: detail,\n546\t\t\tAdvice: advice,\n547\t\t\tRepositioningTarget: target,\n548\t\t\tRepositioningNodeMAC: targetNodeMAC,\n549\t\t\tConfidenceScore: 0.75,\n550\t\t\tTimestamp: time.Now(),\n551\t\t}\n552\t}\n553\t\n554\t// checkFresnelBlockageHeuristic uses blob confidence data when no feedback is available\n555\tfunc (de *DiagnosticEngine) checkFresnelBlockageHeuristic(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n556\t\t// Heuristic: look for consistent low composite scores during activity periods\n557\t\t// This would require additional data from the fusion/localization engine\n558\t\t// For now, we'll check if there's consistently degraded health during non-quiet periods\n559\t\n560\t\tvar activityScores []float64\n561\t\tvar quietScores []float64\n562\t\n563\t\tfor _, h := range history {\n564\t\t\tif h.IsQuietPeriod {\n565\t\t\t\tquietScores = append(quietScores, h.CompositeScore)\n566\t\t\t} else {\n567\t\t\t\tactivityScores = append(activityScores, h.CompositeScore)\n568\t\t\t}\n569\t\t}\n570\t\n571\t\t// Need enough activity period data\n572\t\tif len(activityScores) < 10 {\n573\t\t\treturn nil\n574\t\t}\n575\t\n576\t\t// Calculate average scores\n577\t\tavgActivity := average(activityScores)\n578\t\tavgQuiet := average(quietScores)\n579\t\n580\t\t// If activity scores are significantly worse than quiet scores,\n581\t\t// there may be detection issues during movement\n582\t\tif avgActivity < 0.5 && avgActivity < avgQuiet-0.2 {\n583\t\t\tnodeBMAC := extractNodeBMAC(linkID)\n584\t\t\treturn &Diagnosis{\n585\t\t\t\tLinkID: linkID,\n586\t\t\t\tRuleID: \"fresnel_blockage_heuristic\",\n587\t\t\t\tSeverity: SeverityWARNING,\n588\t\t\t\tTitle: \"Possible coverage gap detected\",\n589\t\t\t\tDetail: \"Detection quality degrades during movement periods. This may indicate an obstruction in the sensing zone.\",\n590\t\t\t\tAdvice: \"Submit feedback using the app when detection misses occur. This will help identify the exact location of the coverage gap.\",\n591\t\t\t\tRepositioningTarget: nil,\n592\t\t\t\tRepositioningNodeMAC: nodeBMAC,\n593\t\t\t\tConfidenceScore: 0.60, // Lower confidence for heuristic\n594\t\t\t\tTimestamp: time.Now(),\n595\t\t\t}\n596\t\t}\n597\t\n598\t\treturn nil\n599\t}\n600\t\n601\t// Rule 5: Periodic Interference Spikes\n602\t// Trigger: Periodic spikes in deltaRMS variance (3-10 events per hour, each lasting 1-3 minutes)\n603\t// not correlated with occupancy data.\n604\tfunc (de *DiagnosticEngine) checkPeriodicInterference(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n605\t\t// Look for periodic variance spikes\n606\t\tminEvents := 3\n607\t\tmaxEvents := 10\n608\t\n609\t\t// Find variance spikes\n610\t\tspikes := findVarianceSpikes(history, 2.0) // 2x normal variance\n611\t\n612\t\tif len(spikes) < minEvents || len(spikes) > maxEvents*3 { // Allow some tolerance\n613\t\t\treturn nil\n614\t\t}\n615\t\n616\t\t// Check for periodicity (events occur every 6-20 minutes for 3-10 per hour)\n617\t\tif !isPeriodic(spikes, 1*time.Minute, 20*time.Minute) {\n618\t\t\treturn nil\n619\t\t}\n620\t\n621\t\t// Calculate events per hour (handles both ascending and descending order)\n622\t\tstartTime := history[0].Timestamp\n623\t\tendTime := history[len(history)-1].Timestamp\n624\t\thistoryDuration := endTime.Sub(startTime)\n625\t\tif historyDuration < 0 {\n626\t\t\thistoryDuration = -historyDuration\n627\t\t}\n628\t\n629\t\tif historyDuration < time.Hour {\n630\t\t\treturn nil // Need at least an hour of data\n631\t\t}\n632\t\n633\t\teventsPerHour := float64(len(spikes)) / historyDuration.Hours()\n634\t\tif eventsPerHour < float64(minEvents) || eventsPerHour > float64(maxEvents) {\n635\t\t\treturn nil\n636\t\t}\n637\t\n638\t\tnodeAMAC := extractNodeAMAC(linkID)\n639\t\tnodeBMAC := extractNodeBMAC(linkID)\n640\t\n641\t\treturn &Diagnosis{\n642\t\t\tLinkID: linkID,\n643\t\t\tRuleID: \"periodic_interference\",\n644\t\t\tSeverity: SeverityWARNING,\n645\t\t\tTitle: \"Periodic interference detected\",\n646\t\t\tDetail: formatInterferenceDetail(nodeAMAC, nodeBMAC, int(eventsPerHour)),\n647\t\t\tAdvice: formatInterferenceAdvice(nodeAMAC, nodeBMAC),\n648\t\t\tRepositioningTarget: nil,\n649\t\t\tConfidenceScore: 0.70,\n650\t\t\tTimestamp: time.Now(),\n651\t\t}\n652\t}\n653\t\n654\t// storeDiagnoses stores recent diagnoses for a link\n655\tfunc (de *DiagnosticEngine) storeDiagnoses(linkID string, diagnoses []Diagnosis) {\n656\t\tde.mu.Lock()\n657\t\tdefer de.mu.Unlock()\n658\t\n659\t\tde.recentDiagnoses[linkID] = append(diagnoses, de.recentDiagnoses[linkID]...)\n660\t\tif len(de.recentDiagnoses[linkID]) > de.maxDiagnoses {\n661\t\t\tde.recentDiagnoses[linkID] = de.recentDiagnoses[linkID][:de.maxDiagnoses]\n662\t\t}\n663\t}\n664\t\n665\t// GetDiagnoses returns recent diagnoses for a link\n666\tfunc (de *DiagnosticEngine) GetDiagnoses(linkID string) []Diagnosis {\n667\t\tde.mu.RLock()\n668\t\tdefer de.mu.RUnlock()\n669\t\n670\t\tdiagnoses := de.recentDiagnoses[linkID]\n671\t\tresult := make([]Diagnosis, len(diagnoses))\n672\t\tcopy(result, diagnoses)\n673\t\treturn result\n674\t}\n675\t\n676\t// GetAllDiagnoses returns all recent diagnoses\n677\tfunc (de *DiagnosticEngine) GetAllDiagnoses() map[string][]Diagnosis {\n678\t\tde.mu.RLock()\n679\t\tdefer de.mu.RUnlock()\n680\t\n681\t\tresult := make(map[string][]Diagnosis)\n682\t\tfor linkID, diagnoses := range de.recentDiagnoses {\n683\t\t\tresult[linkID] = make([]Diagnosis, len(diagnoses))\n684\t\t\tcopy(result[linkID], diagnoses)\n685\t\t}\n686\t\treturn result\n687\t}\n688\t\n689\t// RunDiagnosticPass triggers an immediate diagnostic pass (for testing)\n690\tfunc (de *DiagnosticEngine) RunDiagnosticPass() {\n691\t\tde.runDiagnosticPass()\n692\t}\n693\t\n694\t// Helper functions\n695\t\n696\tfunc calculateAverageDrift(history []LinkHealthSnapshot) float64 {\n697\t\tif len(history) == 0 {\n698\t\t\treturn 0\n699\t\t}\n700\t\tvar sum float64\n701\t\tfor _, h := range history {\n702\t\t\tsum += h.DriftRate\n703\t\t}\n704\t\treturn sum / float64(len(history))\n705\t}\n706\t\n707\tfunc average(values []float64) float64 {\n708\t\tif len(values) == 0 {\n709\t\t\treturn 0\n710\t\t}\n711\t\tvar sum float64\n712\t\tfor _, v := range values {\n713\t\t\tsum += v\n714\t\t}\n715\t\treturn sum / float64(len(values))\n716\t}\n717\t\n718\tfunc extractNodeAMAC(linkID string) string {\n719\t\tif len(linkID) < 17 {\n720\t\t\treturn \"\"\n721\t\t}\n722\t\treturn linkID[:17]\n723\t}\n724\t\n725\tfunc extractNodeBMAC(linkID string) string {\n726\t\tif len(linkID) < 35 {\n727\t\t\treturn \"\"\n728\t\t}\n729\t\treturn linkID[18:]\n730\t}\n731\t\n732\tfunc findClusterCenter(events []FeedbackEvent) Vec3 {\n733\t\tif len(events) == 0 {\n734\t\t\treturn Vec3{}\n735\t\t}\n736\t\n737\t\tvar sumX, sumY, sumZ float64\n738\t\tfor _, e := range events {\n739\t\t\tsumX += e.Position.X\n740\t\t\tsumY += e.Position.Y\n741\t\t\tsumZ += e.Position.Z\n742\t\t}\n743\t\tn := float64(len(events))\n744\t\treturn Vec3{X: sumX / n, Y: sumY / n, Z: sumZ / n}\n745\t}\n746\t\n747\tfunc findVarianceSpikes(history []LinkHealthSnapshot, threshold float64) []time.Time {\n748\t\tif len(history) == 0 {\n749\t\t\treturn nil\n750\t\t}\n751\t\n752\t\t// Calculate baseline variance\n753\t\tvar sum float64\n754\t\tfor _, h := range history {\n755\t\t\tsum += h.DeltaRMSVariance\n756\t\t}\n757\t\tbaseline := sum / float64(len(history))\n758\t\n759\t\tif baseline == 0 {\n760\t\t\tbaseline = 1 // Avoid division by zero\n761\t\t}\n762\t\n763\t\t// First, identify all high-variance samples with their timestamps\n764\t\ttype spikeSample struct {\n765\t\t\tts time.Time\n766\t\t\tvariance float64\n767\t\t}\n768\t\tvar allSpikes []spikeSample\n769\t\tfor _, h := range history {\n770\t\t\tif h.DeltaRMSVariance > baseline*threshold {\n771\t\t\t\tallSpikes = append(allSpikes, spikeSample{ts: h.Timestamp, variance: h.DeltaRMSVariance})\n772\t\t\t}\n773\t\t}\n774\t\n775\t\tif len(allSpikes) == 0 {\n776\t\t\treturn nil\n777\t\t}\n778\t\n779\t\t// Sort spikes by timestamp\n780\t\tsort.Slice(allSpikes, func(i, j int) bool {\n781\t\t\treturn allSpikes[i].ts.Before(allSpikes[j].ts)\n782\t\t})\n783\t\n784\t\t// Cluster consecutive spikes (within 2 minutes) into events\n785\t\t// Return the start time of each event\n786\t\tvar events []time.Time\n787\t\teventStart := allSpikes[0].ts\n788\t\tlastSpikeTime := allSpikes[0].ts\n789\t\n790\t\tfor i := 1; i < len(allSpikes); i++ {\n791\t\t\t// If this spike is more than 2 minutes after the last, it's a new event\n792\t\t\tif allSpikes[i].ts.Sub(lastSpikeTime) > 2*time.Minute {\n793\t\t\t\tevents = append(events, eventStart)\n794\t\t\t\teventStart = allSpikes[i].ts\n795\t\t\t}\n796\t\t\tlastSpikeTime = allSpikes[i].ts\n797\t\t}\n798\t\t// Add the last event\n799\t\tevents = append(events, eventStart)\n800\t\n801\t\treturn events\n802\t}\n803\t\n804\tfunc isPeriodic(spikes []time.Time, minInterval, maxInterval time.Duration) bool {\n805\t\tif len(spikes) < 3 {\n806\t\t\treturn false\n807\t\t}\n808\t\n809\t\t// Sort spikes by timestamp to handle any order\n810\t\tsortedSpikes := make([]time.Time, len(spikes))\n811\t\tcopy(sortedSpikes, spikes)\n812\t\tsort.Slice(sortedSpikes, func(i, j int) bool {\n813\t\t\treturn sortedSpikes[i].Before(sortedSpikes[j])\n814\t\t})\n815\t\n816\t\t// Calculate intervals between spikes\n817\t\tintervals := make([]time.Duration, len(sortedSpikes)-1)\n818\t\tfor i := 0; i < len(sortedSpikes)-1; i++ {\n819\t\t\tintervals[i] = sortedSpikes[i+1].Sub(sortedSpikes[i])\n820\t\t}\n821\t\n822\t\t// Check if intervals are relatively consistent (within 50% of each other)\n823\t\tif len(intervals) == 0 {\n824\t\t\treturn false\n825\t\t}\n826\t\n827\t\tavgInterval := averageDurations(intervals)\n828\t\tif avgInterval < minInterval || avgInterval > maxInterval*3 {\n829\t\t\treturn false\n830\t\t}\n831\t\n832\t\t// Count intervals within tolerance of average\n833\t\ttolerance := 0.5\n834\t\twithinTolerance := 0\n835\t\tfor _, interval := range intervals {\n836\t\t\tratio := float64(interval) / float64(avgInterval)\n837\t\t\tif ratio > (1-tolerance) && ratio < (1+tolerance) {\n838\t\t\t\twithinTolerance++\n839\t\t\t}\n840\t\t}\n841\t\n842\t\t// At least 60% of intervals should be within tolerance\n843\t\treturn float64(withinTolerance)/float64(len(intervals)) >= 0.6\n844\t}\n845\t\n846\tfunc averageDurations(durations []time.Duration) time.Duration {\n847\t\tif len(durations) == 0 {\n848\t\t\treturn 0\n849\t\t}\n850\t\tvar sum time.Duration\n851\t\tfor _, d := range durations {\n852\t\t\tsum += d\n853\t\t}\n854\t\treturn sum / time.Duration(len(durations))\n855\t}\n856\t\n857\t// Formatting helpers\n858\t\n859\tfunc formatWiFiDetail(nodeMAC string, avgPacketRate float64) string {\n860\t\tpct := int(avgPacketRate / 20.0 * 100)\n861\t\tif nodeMAC != \"\" {\n862\t\t\treturn formatNodeLabel(nodeMAC) + \" is only delivering \" + formatInt(pct) + \"% of the expected 20 packets per second. The most common causes are distance from the WiFi router or congestion from nearby networks.\"\n863\t\t}\n864\t\treturn \"This link is only delivering \" + formatInt(pct) + \"% of the expected packets. The most common causes are distance from the WiFi router or congestion from nearby networks.\"\n865\t}\n866\t\n867\tfunc formatWiFiAdvice(nodeMAC string) string {\n868\t\tlabel := \"the node\"\n869\t\tif nodeMAC != \"\" {\n870\t\t\tlabel = formatNodeLabel(nodeMAC)\n871\t\t}\n872\t\treturn \"1. Move \" + label + \" within 10 metres of your WiFi router. \" +\n873\t\t\t\"2. If already close, check if the 2.4GHz channel is congested (3+ networks on overlapping channels). \" +\n874\t\t\t\"3. ESP32-S3 supports both 2.4GHz and 5GHz - if your router supports 5GHz, update the node's WiFi config to use the 5GHz SSID.\"\n875\t}\n876\t\n877\tfunc formatMetalTitle(nodeMAC string) string {\n878\t\tif nodeMAC != \"\" {\n879\t\t\treturn \"Metal interference near \" + formatNodeLabel(nodeMAC)\n880\t\t}\n881\t\treturn \"Metal interference detected\"\n882\t}\n883\t\n884\tfunc formatMetalDetail(linkID string) string {\n885\t\tnodeA := extractNodeAMAC(linkID)\n886\t\tnodeB := extractNodeBMAC(linkID)\n887\t\tif nodeA != \"\" && nodeB != \"\" {\n888\t\t\treturn \"The sensing link \" + formatNodeLabel(nodeA) + \" to \" + formatNodeLabel(nodeB) + \" has unstable phase measurements even when no one is moving. This is typically caused by metal objects in the near field of the node's antenna (within 10cm): metal shelves, radiators, TV backs, or large appliances.\"\n889\t\t}\n890\t\treturn \"This sensing link has unstable phase measurements even when no one is moving. This is typically caused by metal objects in the near field of the node's antenna (within 10cm).\"\n891\t}\n892\t\n893\tfunc formatMetalAdvice(nodeMAC string) string {\n894\t\tlabel := \"the node\"\n895\t\tif nodeMAC != \"\" {\n896\t\t\tlabel = formatNodeLabel(nodeMAC)\n897\t\t}\n898\t\treturn \"Check for metal objects within 10cm of \" + label + \". \" +\n899\t\t\t\"If \" + label + \" is on a metal surface or shelf, mount it on a non-metal bracket or wall. \" +\n900\t\t\t\"Try repositioning it 20-30cm away from metal surfaces.\"\n901\t}\n902\t\n903\tfunc formatFresnelDetail(linkID, zoneDesc string) string {\n904\t\tnodeA := extractNodeAMAC(linkID)\n905\t\tnodeB := extractNodeBMAC(linkID)\n906\t\tif nodeA != \"\" && nodeB != \"\" {\n907\t\t\treturn \"The area near \" + zoneDesc + \" shows lower detection coverage. An obstacle may be blocking the path between \" + formatNodeLabel(nodeA) + \" and \" + formatNodeLabel(nodeB) + \", interrupting their sensing zone.\"\n908\t\t}\n909\t\treturn \"The area near \" + zoneDesc + \" shows lower detection coverage. An obstacle may be blocking the sensing zone.\"\n910\t}\n911\t\n912\tfunc formatFresnelAdvice(nodeMAC string, blockedZone, target *Vec3, improvement float64) string {\n913\t\tif target == nil || nodeMAC == \"\" {\n914\t\t\treturn \"Check for obstructions between the nodes. Large furniture, appliances, or metal objects can block the sensing zone.\"\n915\t\t}\n916\t\n917\t\t// Calculate direction from current position\n918\t\tdirection := calculateDirection(blockedZone, target)\n919\t\tdistance := calculateDistance(blockedZone, target)\n920\t\n921\t\tadvice := \"Move \" + formatNodeLabel(nodeMAC) + \" \" + direction + \" by approximately \" + formatDistance(distance) + \" to restore coverage.\"\n922\t\n923\t\tif improvement > 0 {\n924\t\t\tadvice += \" The target position is marked in green in the 3D view.\"\n925\t\t}\n926\t\n927\t\treturn advice\n928\t}\n929\t\n930\tfunc formatInterferenceDetail(nodeA, nodeB string, eventsPerHour int) string {\n931\t\tif nodeA != \"\" && nodeB != \"\" {\n932\t\t\treturn formatNodeLabel(nodeA) + \" to \" + formatNodeLabel(nodeB) + \" is experiencing regular interference bursts \" + formatInt(eventsPerHour) + \" times per hour. This pattern is consistent with a microwave oven, a cordless phone, or a pulsed 2.4GHz source.\"\n933\t\t}\n934\t\treturn \"This link is experiencing regular interference bursts \" + formatInt(eventsPerHour) + \" times per hour. This pattern is consistent with a microwave oven, a cordless phone, or a pulsed 2.4GHz source.\"\n935\t}\n936\t\n937\tfunc formatInterferenceAdvice(nodeA, nodeB string) string {\n938\t\tnodes := \"the nodes\"\n939\t\tif nodeA != \"\" && nodeB != \"\" {\n940\t\t\tnodes = formatNodeLabel(nodeA) + \" or \" + formatNodeLabel(nodeB)\n941\t\t}\n942\t\treturn \"Consider the following: \" +\n943\t\t\t\"1. Is \" + nodes + \" near a kitchen? Microwave ovens cause strong 2.4GHz interference. \" +\n944\t\t\t\"2. A cordless DECT phone or baby monitor near one of the nodes may be the source. \" +\n945\t\t\t\"3. Try moving the affected node at least 2 metres from any 2.4GHz appliances.\"\n946\t}\n947\t\n948\tfunc formatZoneDescription(pos Vec3) string {\n949\t\t// Simple zone description based on position\n950\t\t// This could be enhanced with room-relative positioning\n951\t\treturn formatFloat(pos.X, 1) + \"m, \" + formatFloat(pos.Z, 1) + \"m from origin\"\n952\t}\n953\t\n954\tfunc formatNodeLabel(mac string) string {\n955\t\tif len(mac) >= 8 {\n956\t\t\treturn \"Node \" + mac[:8]\n957\t\t}\n958\t\treturn \"Node\"\n959\t}\n960\t\n961\tfunc calculateDirection(from, to *Vec3) string {\n962\t\tif from == nil || to == nil {\n963\t\t\treturn \"\"\n964\t\t}\n965\t\n966\t\tdx := to.X - from.X\n967\t\tdz := to.Z - from.Z\n968\t\n969\t\tvar direction string\n970\t\tif math.Abs(dz) > math.Abs(dx) {\n971\t\t\tif dz > 0 {\n972\t\t\t\tdirection = \"forward\"\n973\t\t\t} else {\n974\t\t\t\tdirection = \"backward\"\n975\t\t\t}\n976\t\t} else {\n977\t\t\tif dx > 0 {\n978\t\t\t\tdirection = \"right\"\n979\t\t\t} else {\n980\t\t\t\tdirection = \"left\"\n981\t\t\t}\n982\t\t}\n983\t\n984\t\treturn direction\n985\t}\n986\t\n987\tfunc calculateDistance(from, to *Vec3) float64 {\n988\t\tif from == nil || to == nil {\n989\t\t\treturn 0\n990\t\t}\n991\t\tdx := to.X - from.X\n992\t\tdz := to.Z - from.Z\n993\t\treturn math.Sqrt(dx*dx + dz*dz)\n994\t}\n995\t\n996\tfunc formatDistance(m float64) string {\n997\t\tif m < 0.5 {\n998\t\t\treturn formatFloat(m*100, 0) + \"cm\"\n999\t\t}\n1000\t\treturn formatFloat(m, 1) + \" metres\"\n1001\t}\n1002\t\n1003\tfunc formatInt(n int) string {\n1004\t\tif n < 0 {\n1005\t\t\treturn \"0\"\n1006\t\t}\n1007\t\treturn fmt.Sprintf(\"%d\", n)\n1008\t}\n1009\t\n1010\tfunc formatFloat(f float64, decimals int) string {\n1011\t\treturn fmt.Sprintf(\"%.[2]*[1]f\", f, decimals)\n1012\t}\n1013\t\n1014\t// Tooltip represents a contextual help tooltip for a feature.\n1015\ttype Tooltip struct {\n1016\t\tTitle string\n1017\t\tDescription string\n1018\t\tDirection string // \"top\", \"bottom\", \"left\", \"right\"\n1019\t}\n1020\t\n1021\t// GetDiagnosticFor returns diagnostic information for a specific link at a given timestamp.\n1022\t// This is used by the post-feedback explanation system to provide root cause analysis\n1023\t// for false positive detections.\n1024\tfunc (de *DiagnosticEngine) GetDiagnosticFor(linkID string, timestamp time.Time) *Diagnosis {\n1025\t\tde.mu.RLock()\n1026\t\tgetHealthHistory := de.getHealthHistory\n1027\t\twindow := de.config.HistoryWindow\n1028\t\tde.mu.RUnlock()\n1029\t\n1030\t\tif getHealthHistory == nil {\n1031\t\t\treturn nil\n1032\t\t}\n1033\t\n1034\t\t// Get health history around the specified timestamp\n1035\t\thistory := getHealthHistory(linkID, window)\n1036\t\tif len(history) < de.config.MinSamples {\n1037\t\t\t// Not enough data - return a generic diagnosis\n1038\t\t\treturn &Diagnosis{\n1039\t\t\t\tLinkID: linkID,\n1040\t\t\t\tRuleID: \"insufficient_data\",\n1041\t\t\t\tSeverity: SeverityINFO,\n1042\t\t\t\tTitle: \"Not enough data for diagnosis\",\n1043\t\t\t\tDetail: \"This link hasn't been active long enough to analyze.\",\n1044\t\t\t\tAdvice: \"Continue normal operation. Diagnostics will be available after more data is collected.\",\n1045\t\t\t\tConfidenceScore: 0.0,\n1046\t\t\t\tTimestamp: time.Now(),\n1047\t\t\t}\n1048\t\t}\n1049\t\n1050\t\t// Find the snapshot closest to the requested timestamp\n1051\t\tvar closestSnapshot *LinkHealthSnapshot\n1052\t\tminDiff := time.Duration(1<<63 - 1) // Max duration\n1053\t\n1054\t\tfor i := range history {\n1055\t\t\tdiff := history[i].Timestamp.Sub(timestamp)\n1056\t\t\tif diff < 0 {\n1057\t\t\t\tdiff = -diff\n1058\t\t\t}\n1059\t\t\tif diff < minDiff {\n1060\t\t\t\tminDiff = diff\n1061\t\t\t\tclosestSnapshot = &history[i]\n1062\t\t\t}\n1063\t\t}\n1064\t\n1065\t\tif closestSnapshot == nil {\n1066\t\t\treturn nil\n1067\t\t}\n1068\t\n1069\t\t// Check which diagnostic rules would have fired at that time\n1070\t\t// We'll run a focused diagnostic check around the timestamp\n1071\t\n1072\t\t// Rule: Check for environmental change indicators\n1073\t\tif closestSnapshot.DriftRate > 0.05 {\n1074\t\t\treturn &Diagnosis{\n1075\t\t\t\tLinkID: linkID,\n1076\t\t\t\tRuleID: \"environmental_change\",\n1077\t\t\t\tSeverity: SeverityINFO,\n1078\t\t\t\tTitle: \"Possible environmental change\",\n1079\t\t\t\tDetail: \"The baseline for this link has drifted significantly. This could be caused by temperature changes, furniture movement, or new obstructions.\",\n1080\t\t\t\tAdvice: \"The system is adapting automatically. No action needed unless this persists.\",\n1081\t\t\t\tConfidenceScore: 0.70,\n1082\t\t\t\tTimestamp: time.Now(),\n1083\t\t\t}\n1084\t\t}\n1085\t\n1086\t\t// Rule: Check for WiFi congestion indicators\n1087\t\tif closestSnapshot.PacketRate < 16.0 { // Less than 80% of expected 20 Hz\n1088\t\t\tnodeBMAC := extractNodeBMAC(linkID)\n1089\t\t\treturn &Diagnosis{\n1090\t\t\t\tLinkID: linkID,\n1091\t\t\t\tRuleID: \"wifi_congestion\",\n1092\t\t\t\tSeverity: SeverityACTIONABLE,\n1093\t\t\t\tTitle: \"Possible WiFi congestion\",\n1094\t\t\t\tDetail: formatWiFiDetail(nodeBMAC, closestSnapshot.PacketRate),\n1095\t\t\t\tAdvice: formatWiFiAdvice(nodeBMAC),\n1096\t\t\t\tRepositioningNodeMAC: nodeBMAC,\n1097\t\t\t\tConfidenceScore: 0.75,\n1098\t\t\t\tTimestamp: time.Now(),\n1099\t\t\t}\n1100\t\t}\n1101\t\n1102\t\t// Rule: Check for phase instability (metal interference)\n1103\t\tif closestSnapshot.PhaseStability > 0.6 {\n1104\t\t\tnodeAMAC := extractNodeAMAC(linkID)\n1105\t\t\treturn &Diagnosis{\n1106\t\t\t\tLinkID: linkID,\n1107\t\t\t\tRuleID: \"metal_interference\",\n1108\t\t\t\tSeverity: SeverityACTIONABLE,\n1109\t\t\t\tTitle: formatMetalTitle(nodeAMAC),\n1110\t\t\t\tDetail: formatMetalDetail(linkID),\n1111\t\t\t\tAdvice: formatMetalAdvice(nodeAMAC),\n1112\t\t\t\tRepositioningNodeMAC: nodeAMAC,\n1113\t\t\t\tConfidenceScore: 0.80,\n1114\t\t\t\tTimestamp: time.Now(),\n1115\t\t\t}\n1116\t\t}\n1117\t\n1118\t\t// Rule: Check for periodic interference patterns\n1119\t\tif closestSnapshot.DeltaRMSVariance > 2.0 {\n1120\t\t\tnodeAMAC := extractNodeAMAC(linkID)\n1121\t\t\tnodeBMAC := extractNodeBMAC(linkID)\n1122\t\t\treturn &Diagnosis{\n1123\t\t\t\tLinkID: linkID,\n1124\t\t\t\tRuleID: \"periodic_interference\",\n1125\t\t\t\tSeverity: SeverityWARNING,\n1126\t\t\t\tTitle: \"Possible periodic interference\",\n1127\t\t\t\tDetail: formatInterferenceDetail(nodeAMAC, nodeBMAC, 3),\n1128\t\t\t\tAdvice: formatInterferenceAdvice(nodeAMAC, nodeBMAC),\n1129\t\t\t\tConfidenceScore: 0.70,\n1130\t\t\t\tTimestamp: time.Now(),\n1131\t\t\t}\n1132\t\t}\n1133\t\n1134\t\t// Default: no specific issue found\n1135\t\treturn &Diagnosis{\n1136\t\t\tLinkID: linkID,\n1137\t\t\tRuleID: \"no_issue_detected\",\n1138\t\t\tSeverity: SeverityINFO,\n1139\t\t\tTitle: \"No specific issue detected\",\n1140\t\t\tDetail: \"The link health metrics appear normal. The false positive may be due to transient RF interference or a brief environmental change.\",\n1141\t\t\tAdvice: \"This is a rare occurrence. If it happens frequently, consider submitting feedback so the system can learn.\",\n1142\t\t\tConfidenceScore: 0.50,\n1143\t\t\tTimestamp: time.Now(),\n1144\t\t}\n1145\t}\n1146\t\n1147\t// GetDiagnosisExplanation returns a plain-language explanation for a diagnosis.\n1148\tfunc (d *Diagnosis) GetDiagnosisExplanation() string {\n1149\t\tif d == nil {\n1150\t\t\treturn \"No diagnostic information available.\"\n1151\t\t}\n1152\t\n1153\t\texplanation := d.Detail\n1154\t\n1155\t\t// Add context-specific advice\n1156\t\tif d.RuleID == \"environmental_change\" {\n1157\t\t\texplanation += \" The system adapts to these changes automatically over time.\"\n1158\t\t} else if d.RuleID == \"wifi_congestion\" {\n1159\t\t\texplanation += \" Moving the node closer to your WiFi router may help.\"\n1160\t\t} else if d.RuleID == \"metal_interference\" {\n1161\t\t\texplanation += \" Check for metal objects within 10cm of the node antenna.\"\n1162\t\t} else if d.RuleID == \"periodic_interference\" {\n1163\t\t\texplanation += \" This pattern often indicates a microwave oven or other 2.4GHz device.\"\n1164\t\t}\n1165\t\n1166\t\treturn explanation\n1167\t}\n1168\t"}]},"parent_tool_use_id":null,"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","uuid":"21fa42b7-946d-4a1c-8c50-52dba186e4fc","timestamp":"2026-05-04T04:08:05.266Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/spaxel/mothership/internal/diagnostics/linkweather.go","content":"// Package diagnostics implements link weather diagnostics with root-cause analysis\n// and actionable repositioning advice.\npackage diagnostics\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"log\"\n\t\"math\"\n\t\"sort\"\n\t\"sync\"\n\t\"time\"\n)\n\n// DiagnosisSeverity represents the severity level of a diagnosis\ntype DiagnosisSeverity string\n\nconst (\n\tSeverityINFO DiagnosisSeverity = \"INFO\" // Informational, no action needed\n\tSeverityWARNING DiagnosisSeverity = \"WARNING\" // Attention recommended\n\tSeverityACTIONABLE DiagnosisSeverity = \"ACTIONABLE\" // Specific action required\n)\n\n// Diagnosis represents a diagnostic finding for a link\ntype Diagnosis struct {\n\tLinkID string\n\tRuleID string // Identifies which rule fired\n\tSeverity DiagnosisSeverity // INFO, WARNING, ACTIONABLE\n\tTitle string // Human-readable headline\n\tDetail string // Explanation in plain language\n\tAdvice string // Specific actionable steps\n\tRepositioningTarget *Vec3 // 3D position to move node, or nil\n\tRepositioningNodeMAC string // Which node to move\n\tConfidenceScore float64 // How confident the engine is (0-1)\n\tTimestamp time.Time\n}\n\n// Vec3 represents a 3D position\ntype Vec3 struct {\n\tX float64\n\tY float64\n\tZ float64\n}\n\n// LinkHealthSnapshot represents a health snapshot for diagnostic analysis\ntype LinkHealthSnapshot struct {\n\tTimestamp time.Time\n\tSNR float64\n\tPhaseStability float64\n\tPacketRate float64\n\tDriftRate float64\n\tCompositeScore float64\n\tDeltaRMSVariance float64 // For periodic interference detection\n\tIsQuietPeriod bool // True if no motion detected\n}\n\n// FeedbackEvent represents user-reported false negative/positive for Rule 4\ntype FeedbackEvent struct {\n\tLinkID string\n\tEventType string // \"false_negative\" or \"false_positive\"\n\tPosition Vec3 // Where the event occurred\n\tTimestamp time.Time\n}\n\n// DiagnosticConfig holds configuration for the DiagnosticEngine\ntype DiagnosticConfig struct {\n\tDiagnosticInterval time.Duration // How often to run diagnostics (default 15m)\n\tHistoryWindow time.Duration // How much history to analyze (default 1h)\n\tMinSamples int // Minimum samples needed for diagnosis\n}\n\n// DiagnosticEngine runs background diagnostics on link health\ntype DiagnosticEngine struct {\n\tmu sync.RWMutex\n\n\tconfig DiagnosticConfig\n\n\t// Health data access\n\tgetHealthHistory func(linkID string, window time.Duration) []LinkHealthSnapshot\n\tgetAllLinkIDs func() []string\n\n\t// Feedback data access (for Rule 4)\n\tgetFeedbackEvents func(linkID string, window time.Duration) []FeedbackEvent\n\n\t// Repositioning computation (for Rule 4)\n\tcomputeRepositioning func(linkID string, blockedZone Vec3) (Vec3, float64, error)\n\n\t// GDOP calculator access\n\tgetGDOPImprovement func(nodeMAC string, targetPos Vec3) float64\n\n\t// Node position access\n\tgetNodePosition func(mac string) (Vec3, bool)\n\n\t// Occupancy state for quiet period detection\n\tgetOccupancyState func() int // Returns number of detected persons\n\n\t// Recent diagnoses per link (last N diagnoses)\n\trecentDiagnoses map[string][]Diagnosis\n\tmaxDiagnoses int\n\n\t// Running state\n\trunning bool\n\tctx context.Context\n\tcancel context.CancelFunc\n}\n\n// NewDiagnosticEngine creates a new diagnostic engine\nfunc NewDiagnosticEngine(cfg DiagnosticConfig) *DiagnosticEngine {\n\tif cfg.DiagnosticInterval == 0 {\n\t\tcfg.DiagnosticInterval = 15 * time.Minute\n\t}\n\tif cfg.HistoryWindow == 0 {\n\t\tcfg.HistoryWindow = 1 * time.Hour\n\t}\n\tif cfg.MinSamples == 0 {\n\t\tcfg.MinSamples = 10\n\t}\n\n\treturn &DiagnosticEngine{\n\t\tconfig: cfg,\n\t\trecentDiagnoses: make(map[string][]Diagnosis),\n\t\tmaxDiagnoses: 10,\n\t}\n}\n\n// SetHealthHistoryAccessor sets the function to get health history\nfunc (de *DiagnosticEngine) SetHealthHistoryAccessor(fn func(linkID string, window time.Duration) []LinkHealthSnapshot) {\n\tde.mu.Lock()\n\tde.getHealthHistory = fn\n\tde.mu.Unlock()\n}\n\n// SetAllLinkIDsAccessor sets the function to get all link IDs\nfunc (de *DiagnosticEngine) SetAllLinkIDsAccessor(fn func() []string) {\n\tde.mu.Lock()\n\tde.getAllLinkIDs = fn\n\tde.mu.Unlock()\n}\n\n// SetFeedbackAccessor sets the function to get feedback events\nfunc (de *DiagnosticEngine) SetFeedbackAccessor(fn func(linkID string, window time.Duration) []FeedbackEvent) {\n\tde.mu.Lock()\n\tde.getFeedbackEvents = fn\n\tde.mu.Unlock()\n}\n\n// SetRepositioningComputer sets the function to compute repositioning targets\nfunc (de *DiagnosticEngine) SetRepositioningComputer(fn func(linkID string, blockedZone Vec3) (Vec3, float64, error)) {\n\tde.mu.Lock()\n\tde.computeRepositioning = fn\n\tde.mu.Unlock()\n}\n\n// SetGDOPImprovementAccessor sets the function to get GDOP improvement estimates\nfunc (de *DiagnosticEngine) SetGDOPImprovementAccessor(fn func(nodeMAC string, targetPos Vec3) float64) {\n\tde.mu.Lock()\n\tde.getGDOPImprovement = fn\n\tde.mu.Unlock()\n}\n\n// SetNodePositionAccessor sets the function to get node positions\nfunc (de *DiagnosticEngine) SetNodePositionAccessor(fn func(mac string) (Vec3, bool)) {\n\tde.mu.Lock()\n\tde.getNodePosition = fn\n\tde.mu.Unlock()\n}\n\n// SetOccupancyAccessor sets the function to get occupancy state\nfunc (de *DiagnosticEngine) SetOccupancyAccessor(fn func() int) {\n\tde.mu.Lock()\n\tde.getOccupancyState = fn\n\tde.mu.Unlock()\n}\n\n// Run starts the diagnostic engine background loop\nfunc (de *DiagnosticEngine) Run(ctx context.Context) {\n\tde.mu.Lock()\n\tif de.running {\n\t\tde.mu.Unlock()\n\t\treturn\n\t}\n\tde.running = true\n\tde.ctx, de.cancel = context.WithCancel(ctx)\n\tde.mu.Unlock()\n\n\tticker := time.NewTicker(de.config.DiagnosticInterval)\n\tdefer ticker.Stop()\n\n\tlog.Printf(\"[INFO] diagnostics: engine started (interval: %v)\", de.config.DiagnosticInterval)\n\n\tfor {\n\t\tselect {\n\t\tcase <-de.ctx.Done():\n\t\t\tlog.Printf(\"[INFO] diagnostics: engine stopped\")\n\t\t\treturn\n\t\tcase <-ticker.C:\n\t\t\tde.runDiagnosticPass()\n\t\t}\n\t}\n}\n\n// Stop stops the diagnostic engine\nfunc (de *DiagnosticEngine) Stop() {\n\tde.mu.Lock()\n\tdefer de.mu.Unlock()\n\tif de.cancel != nil {\n\t\tde.cancel()\n\t}\n\tde.running = false\n}\n\n// runDiagnosticPass runs all diagnostic rules on all links\nfunc (de *DiagnosticEngine) runDiagnosticPass() {\n\tde.mu.RLock()\n\tgetAllLinkIDs := de.getAllLinkIDs\n\tde.mu.RUnlock()\n\n\tif getAllLinkIDs == nil {\n\t\treturn\n\t}\n\n\tlinkIDs := getAllLinkIDs()\n\tfor _, linkID := range linkIDs {\n\t\tdiagnoses := de.diagnoseLink(linkID)\n\t\tif len(diagnoses) > 0 {\n\t\t\tde.storeDiagnoses(linkID, diagnoses)\n\t\t}\n\t}\n}\n\n// diagnoseLink runs all diagnostic rules on a single link\nfunc (de *DiagnosticEngine) diagnoseLink(linkID string) []Diagnosis {\n\tde.mu.RLock()\n\tgetHealthHistory := de.getHealthHistory\n\twindow := de.config.HistoryWindow\n\tde.mu.RUnlock()\n\t_ = de.getFeedbackEvents\n\t_ = de.getOccupancyState\n\n\tif getHealthHistory == nil {\n\t\treturn nil\n\t}\n\n\thistory := getHealthHistory(linkID, window)\n\tif len(history) < de.config.MinSamples {\n\t\treturn nil\n\t}\n\n\tvar diagnoses []Diagnosis\n\n\t// Rule 1: Environmental Change\n\tif d := de.checkEnvironmentalChange(linkID, history); d != nil {\n\t\tdiagnoses = append(diagnoses, *d)\n\t}\n\n\t// Rule 2: WiFi Congestion or Distance\n\tif d := de.checkWiFiCongestion(linkID, history); d != nil {\n\t\tdiagnoses = append(diagnoses, *d)\n\t}\n\n\t// Rule 3: Near-Field Metal Interference\n\tif d := de.checkMetalInterference(linkID, history); d != nil {\n\t\tdiagnoses = append(diagnoses, *d)\n\t}\n\n\t// Rule 4: Fresnel Zone Blockage\n\tif d := de.checkFresnelBlockage(linkID, history); d != nil {\n\t\tdiagnoses = append(diagnoses, *d)\n\t}\n\n\t// Rule 5: Periodic Interference Spikes\n\tif d := de.checkPeriodicInterference(linkID, history); d != nil {\n\t\tdiagnoses = append(diagnoses, *d)\n\t}\n\n\treturn diagnoses\n}\n\n// Rule 1: Environmental Change\n// Trigger: High baseline drift (>5% per hour) correlated across multiple links simultaneously (>50% of active links).\nfunc (de *DiagnosticEngine) checkEnvironmentalChange(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n\tde.mu.RLock()\n\tgetAllLinkIDs := de.getAllLinkIDs\n\tgetHealthHistory := de.getHealthHistory\n\tde.mu.RUnlock()\n\n\tif getAllLinkIDs == nil || getHealthHistory == nil {\n\t\treturn nil\n\t}\n\n\t// Calculate drift rate for this link\n\tavgDrift := calculateAverageDrift(history)\n\tif avgDrift < 0.05 { // < 5% per hour\n\t\treturn nil\n\t}\n\n\t// Check if drift is correlated across multiple links\n\tallLinks := getAllLinkIDs()\n\tcorrelatedCount := 0\n\ttotalActive := 0\n\n\tfor _, lid := range allLinks {\n\t\tlhistory := getHealthHistory(lid, de.config.HistoryWindow)\n\t\tif len(lhistory) < de.config.MinSamples {\n\t\t\tcontinue\n\t\t}\n\t\ttotalActive++\n\t\tlavgDrift := calculateAverageDrift(lhistory)\n\t\tif lavgDrift >= 0.05 {\n\t\t\tcorrelatedCount++\n\t\t}\n\t}\n\n\tif totalActive == 0 {\n\t\treturn nil\n\t}\n\n\tcorrelationRatio := float64(correlatedCount) / float64(totalActive)\n\tif correlationRatio < 0.5 {\n\t\treturn nil // Not correlated enough\n\t}\n\n\t// Confidence: 0.85 if drift is correlated across >50% of links\n\tconfidence := 0.85\n\n\treturn &Diagnosis{\n\t\tLinkID: linkID,\n\t\tRuleID: \"environmental_change\",\n\t\tSeverity: SeverityINFO,\n\t\tTitle: \"Environmental change detected\",\n\t\tDetail: \"Multiple sensing links are showing simultaneous baseline shifts. This typically indicates a temperature change, or a large object was moved in the space. The system is adapting automatically.\",\n\t\tAdvice: \"No action needed. The baseline will re-stabilise within 30 minutes.\",\n\t\tRepositioningTarget: nil,\n\t\tConfidenceScore: confidence,\n\t\tTimestamp: time.Now(),\n\t}\n}\n\n// Rule 2: WiFi Congestion or Distance\n// Trigger: Packet rate health < 0.8 for more than 10 minutes on a single link.\nfunc (de *DiagnosticEngine) checkWiFiCongestion(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n\t// Check if packet rate has been low for > 10 minutes\n\t// Expected rate is 20 Hz, so health < 0.8 means < 16 Hz\n\tpacketHealthThreshold := 0.8\n\tminDuration := 10 * time.Minute\n\n\tif len(history) < 2 {\n\t\treturn nil\n\t}\n\n\t// Find the time span of history (handles both ascending and descending order)\n\tstartTime := history[0].Timestamp\n\tendTime := history[len(history)-1].Timestamp\n\tduration := endTime.Sub(startTime)\n\tif duration < 0 {\n\t\tduration = -duration\n\t}\n\n\tif duration < minDuration {\n\t\treturn nil\n\t}\n\n\t// Check if packet rate health has been consistently low\n\tlowCount := 0\n\ttotalCount := 0\n\tvar avgPacketRate float64\n\n\tfor _, h := range history {\n\t\t// Packet rate health: actual/expected (20 Hz)\n\t\trateHealth := h.PacketRate / 20.0\n\t\tavgPacketRate += h.PacketRate\n\t\ttotalCount++\n\t\tif rateHealth < packetHealthThreshold {\n\t\t\tlowCount++\n\t\t}\n\t}\n\n\tif totalCount == 0 {\n\t\treturn nil\n\t}\n\n\tavgPacketRate /= float64(totalCount)\n\tlowRatio := float64(lowCount) / float64(totalCount)\n\n\t// Require > 80% of samples to have low packet rate\n\tif lowRatio < 0.8 {\n\t\treturn nil\n\t}\n\n\t// Extract node B MAC from linkID\n\tnodeBMAC := extractNodeBMAC(linkID)\n\n\treturn &Diagnosis{\n\t\tLinkID: linkID,\n\t\tRuleID: \"wifi_congestion_distance\",\n\t\tSeverity: SeverityACTIONABLE,\n\t\tTitle: \"Node has low signal rate\",\n\t\tDetail: formatWiFiDetail(nodeBMAC, avgPacketRate),\n\t\tAdvice: formatWiFiAdvice(nodeBMAC),\n\t\tRepositioningTarget: nil,\n\t\tRepositioningNodeMAC: nodeBMAC,\n\t\tConfidenceScore: 0.75,\n\t\tTimestamp: time.Now(),\n\t}\n}\n\n// Rule 3: Near-Field Metal Interference\n// Trigger: Low phase stability (< 0.4) sustained for > 30 minutes during known-quiet periods.\nfunc (de *DiagnosticEngine) checkMetalInterference(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n\t// Phase stability: lower is more stable. We need to check if stability score is low.\n\t// In the codebase, PhaseStability is normalized variance where < 0.4 is stable\n\t// So \"low phase stability\" means the value is HIGH (> 0.6 or so)\n\t// Actually looking at ambient.go: stability score of 0.1 is very stable, 1.0 is unstable\n\t// The task says \"Low phase stability (< 0.4)\" but this is confusing.\n\t// Looking at weather.go: phaseStabilityWarn = 0.5, phaseStabilityCrit = 0.8\n\t// I'll interpret \"low phase stability\" as \"high phase variance\" i.e. PhaseStability > 0.6\n\n\tphaseThreshold := 0.6 // High variance = unstable\n\tminDuration := 30 * time.Minute\n\n\tif len(history) < 2 {\n\t\treturn nil\n\t}\n\n\t// Check if we've had enough time (handles both ascending and descending order)\n\tstartTime := history[0].Timestamp\n\tendTime := history[len(history)-1].Timestamp\n\tduration := endTime.Sub(startTime)\n\tif duration < 0 {\n\t\tduration = -duration\n\t}\n\n\tif duration < minDuration {\n\t\treturn nil\n\t}\n\n\t// Count samples during quiet periods with high phase instability\n\tunstableQuietCount := 0\n\ttotalQuietCount := 0\n\n\tfor _, h := range history {\n\t\tif h.IsQuietPeriod {\n\t\t\ttotalQuietCount++\n\t\t\tif h.PhaseStability > phaseThreshold {\n\t\t\t\tunstableQuietCount++\n\t\t\t}\n\t\t}\n\t}\n\n\t// Need enough quiet period samples\n\tif totalQuietCount < 10 {\n\t\treturn nil\n\t}\n\n\t// Require > 70% of quiet period samples to have instability\n\tunstableRatio := float64(unstableQuietCount) / float64(totalQuietCount)\n\tif unstableRatio < 0.7 {\n\t\treturn nil\n\t}\n\n\tnodeAMAC := extractNodeAMAC(linkID)\n\n\treturn &Diagnosis{\n\t\tLinkID: linkID,\n\t\tRuleID: \"metal_interference\",\n\t\tSeverity: SeverityACTIONABLE,\n\t\tTitle: formatMetalTitle(nodeAMAC),\n\t\tDetail: formatMetalDetail(linkID),\n\t\tAdvice: formatMetalAdvice(nodeAMAC),\n\t\tRepositioningTarget: nil,\n\t\tRepositioningNodeMAC: nodeAMAC,\n\t\tConfidenceScore: 0.80,\n\t\tTimestamp: time.Now(),\n\t}\n}\n\n// Rule 4: Fresnel Zone Blockage (Half-Room Dead Zone)\n// Trigger: Consistent miss rate (>30% of test walks that should be detected are missed)\n// in a specific area of the room.\nfunc (de *DiagnosticEngine) checkFresnelBlockage(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n\tde.mu.RLock()\n\tgetFeedbackEvents := de.getFeedbackEvents\n\tcomputeRepositioning := de.computeRepositioning\n\tgetNodePosition := de.getNodePosition\n\tde.mu.RUnlock()\n\n\tif getFeedbackEvents == nil {\n\t\t// No feedback data - try heuristic approach\n\t\treturn de.checkFresnelBlockageHeuristic(linkID, history)\n\t}\n\n\t// Get recent false negative feedback events\n\tevents := getFeedbackEvents(linkID, 7*24*time.Hour) // Last 7 days\n\tif len(events) < 5 {\n\t\t// Not enough feedback data\n\t\treturn de.checkFresnelBlockageHeuristic(linkID, history)\n\t}\n\n\t// Cluster false negatives by position\n\tfalseNegatives := make([]FeedbackEvent, 0)\n\tfor _, e := range events {\n\t\tif e.EventType == \"false_negative\" {\n\t\t\tfalseNegatives = append(falseNegatives, e)\n\t\t}\n\t}\n\n\tif len(falseNegatives) < 3 {\n\t\treturn nil\n\t}\n\n\t// Find the center of the blocked zone\n\tblockedZone := findClusterCenter(falseNegatives)\n\n\t// Compute optimal repositioning target\n\tvar target *Vec3\n\tvar improvement float64\n\tvar targetNodeMAC string\n\n\tif computeRepositioning != nil {\n\t\tpos, imp, err := computeRepositioning(linkID, blockedZone)\n\t\tif err == nil && imp > 0.1 {\n\t\t\ttarget = &pos\n\t\t\timprovement = imp\n\t\t\ttargetNodeMAC = extractNodeBMAC(linkID)\n\t\t}\n\t}\n\n\t// Verify node position access for description\n\tvar zoneDesc string\n\tif getNodePosition != nil {\n\t\tzoneDesc = formatZoneDescription(blockedZone)\n\t} else {\n\t\tzoneDesc = \"one side of the room\"\n\t}\n\n\tnodeBMAC := extractNodeBMAC(linkID)\n\tdetail := formatFresnelDetail(linkID, zoneDesc)\n\tadvice := formatFresnelAdvice(nodeBMAC, &blockedZone, target, improvement)\n\n\treturn &Diagnosis{\n\t\tLinkID: linkID,\n\t\tRuleID: \"fresnel_blockage\",\n\t\tSeverity: SeverityACTIONABLE,\n\t\tTitle: \"Coverage gap detected - possible obstruction\",\n\t\tDetail: detail,\n\t\tAdvice: advice,\n\t\tRepositioningTarget: target,\n\t\tRepositioningNodeMAC: targetNodeMAC,\n\t\tConfidenceScore: 0.75,\n\t\tTimestamp: time.Now(),\n\t}\n}\n\n// checkFresnelBlockageHeuristic uses blob confidence data when no feedback is available\nfunc (de *DiagnosticEngine) checkFresnelBlockageHeuristic(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n\t// Heuristic: look for consistent low composite scores during activity periods\n\t// This would require additional data from the fusion/localization engine\n\t// For now, we'll check if there's consistently degraded health during non-quiet periods\n\n\tvar activityScores []float64\n\tvar quietScores []float64\n\n\tfor _, h := range history {\n\t\tif h.IsQuietPeriod {\n\t\t\tquietScores = append(quietScores, h.CompositeScore)\n\t\t} else {\n\t\t\tactivityScores = append(activityScores, h.CompositeScore)\n\t\t}\n\t}\n\n\t// Need enough activity period data\n\tif len(activityScores) < 10 {\n\t\treturn nil\n\t}\n\n\t// Calculate average scores\n\tavgActivity := average(activityScores)\n\tavgQuiet := average(quietScores)\n\n\t// If activity scores are significantly worse than quiet scores,\n\t// there may be detection issues during movement\n\tif avgActivity < 0.5 && avgActivity < avgQuiet-0.2 {\n\t\tnodeBMAC := extractNodeBMAC(linkID)\n\t\treturn &Diagnosis{\n\t\t\tLinkID: linkID,\n\t\t\tRuleID: \"fresnel_blockage_heuristic\",\n\t\t\tSeverity: SeverityWARNING,\n\t\t\tTitle: \"Possible coverage gap detected\",\n\t\t\tDetail: \"Detection quality degrades during movement periods. This may indicate an obstruction in the sensing zone.\",\n\t\t\tAdvice: \"Submit feedback using the app when detection misses occur. This will help identify the exact location of the coverage gap.\",\n\t\t\tRepositioningTarget: nil,\n\t\t\tRepositioningNodeMAC: nodeBMAC,\n\t\t\tConfidenceScore: 0.60, // Lower confidence for heuristic\n\t\t\tTimestamp: time.Now(),\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// Rule 5: Periodic Interference Spikes\n// Trigger: Periodic spikes in deltaRMS variance (3-10 events per hour, each lasting 1-3 minutes)\n// not correlated with occupancy data.\nfunc (de *DiagnosticEngine) checkPeriodicInterference(linkID string, history []LinkHealthSnapshot) *Diagnosis {\n\t// Look for periodic variance spikes\n\tminEvents := 3\n\tmaxEvents := 10\n\n\t// Find variance spikes\n\tspikes := findVarianceSpikes(history, 2.0) // 2x normal variance\n\n\tif len(spikes) < minEvents || len(spikes) > maxEvents*3 { // Allow some tolerance\n\t\treturn nil\n\t}\n\n\t// Check for periodicity (events occur every 6-20 minutes for 3-10 per hour)\n\tif !isPeriodic(spikes, 1*time.Minute, 20*time.Minute) {\n\t\treturn nil\n\t}\n\n\t// Calculate events per hour (handles both ascending and descending order)\n\tstartTime := history[0].Timestamp\n\tendTime := history[len(history)-1].Timestamp\n\thistoryDuration := endTime.Sub(startTime)\n\tif historyDuration < 0 {\n\t\thistoryDuration = -historyDuration\n\t}\n\n\tif historyDuration < time.Hour {\n\t\treturn nil // Need at least an hour of data\n\t}\n\n\teventsPerHour := float64(len(spikes)) / historyDuration.Hours()\n\tif eventsPerHour < float64(minEvents) || eventsPerHour > float64(maxEvents) {\n\t\treturn nil\n\t}\n\n\tnodeAMAC := extractNodeAMAC(linkID)\n\tnodeBMAC := extractNodeBMAC(linkID)\n\n\treturn &Diagnosis{\n\t\tLinkID: linkID,\n\t\tRuleID: \"periodic_interference\",\n\t\tSeverity: SeverityWARNING,\n\t\tTitle: \"Periodic interference detected\",\n\t\tDetail: formatInterferenceDetail(nodeAMAC, nodeBMAC, int(eventsPerHour)),\n\t\tAdvice: formatInterferenceAdvice(nodeAMAC, nodeBMAC),\n\t\tRepositioningTarget: nil,\n\t\tConfidenceScore: 0.70,\n\t\tTimestamp: time.Now(),\n\t}\n}\n\n// storeDiagnoses stores recent diagnoses for a link\nfunc (de *DiagnosticEngine) storeDiagnoses(linkID string, diagnoses []Diagnosis) {\n\tde.mu.Lock()\n\tdefer de.mu.Unlock()\n\n\tde.recentDiagnoses[linkID] = append(diagnoses, de.recentDiagnoses[linkID]...)\n\tif len(de.recentDiagnoses[linkID]) > de.maxDiagnoses {\n\t\tde.recentDiagnoses[linkID] = de.recentDiagnoses[linkID][:de.maxDiagnoses]\n\t}\n}\n\n// GetDiagnoses returns recent diagnoses for a link\nfunc (de *DiagnosticEngine) GetDiagnoses(linkID string) []Diagnosis {\n\tde.mu.RLock()\n\tdefer de.mu.RUnlock()\n\n\tdiagnoses := de.recentDiagnoses[linkID]\n\tresult := make([]Diagnosis, len(diagnoses))\n\tcopy(result, diagnoses)\n\treturn result\n}\n\n// GetAllDiagnoses returns all recent diagnoses\nfunc (de *DiagnosticEngine) GetAllDiagnoses() map[string][]Diagnosis {\n\tde.mu.RLock()\n\tdefer de.mu.RUnlock()\n\n\tresult := make(map[string][]Diagnosis)\n\tfor linkID, diagnoses := range de.recentDiagnoses {\n\t\tresult[linkID] = make([]Diagnosis, len(diagnoses))\n\t\tcopy(result[linkID], diagnoses)\n\t}\n\treturn result\n}\n\n// RunDiagnosticPass triggers an immediate diagnostic pass (for testing)\nfunc (de *DiagnosticEngine) RunDiagnosticPass() {\n\tde.runDiagnosticPass()\n}\n\n// Helper functions\n\nfunc calculateAverageDrift(history []LinkHealthSnapshot) float64 {\n\tif len(history) == 0 {\n\t\treturn 0\n\t}\n\tvar sum float64\n\tfor _, h := range history {\n\t\tsum += h.DriftRate\n\t}\n\treturn sum / float64(len(history))\n}\n\nfunc average(values []float64) float64 {\n\tif len(values) == 0 {\n\t\treturn 0\n\t}\n\tvar sum float64\n\tfor _, v := range values {\n\t\tsum += v\n\t}\n\treturn sum / float64(len(values))\n}\n\nfunc extractNodeAMAC(linkID string) string {\n\tif len(linkID) < 17 {\n\t\treturn \"\"\n\t}\n\treturn linkID[:17]\n}\n\nfunc extractNodeBMAC(linkID string) string {\n\tif len(linkID) < 35 {\n\t\treturn \"\"\n\t}\n\treturn linkID[18:]\n}\n\nfunc findClusterCenter(events []FeedbackEvent) Vec3 {\n\tif len(events) == 0 {\n\t\treturn Vec3{}\n\t}\n\n\tvar sumX, sumY, sumZ float64\n\tfor _, e := range events {\n\t\tsumX += e.Position.X\n\t\tsumY += e.Position.Y\n\t\tsumZ += e.Position.Z\n\t}\n\tn := float64(len(events))\n\treturn Vec3{X: sumX / n, Y: sumY / n, Z: sumZ / n}\n}\n\nfunc findVarianceSpikes(history []LinkHealthSnapshot, threshold float64) []time.Time {\n\tif len(history) == 0 {\n\t\treturn nil\n\t}\n\n\t// Calculate baseline variance\n\tvar sum float64\n\tfor _, h := range history {\n\t\tsum += h.DeltaRMSVariance\n\t}\n\tbaseline := sum / float64(len(history))\n\n\tif baseline == 0 {\n\t\tbaseline = 1 // Avoid division by zero\n\t}\n\n\t// First, identify all high-variance samples with their timestamps\n\ttype spikeSample struct {\n\t\tts time.Time\n\t\tvariance float64\n\t}\n\tvar allSpikes []spikeSample\n\tfor _, h := range history {\n\t\tif h.DeltaRMSVariance > baseline*threshold {\n\t\t\tallSpikes = append(allSpikes, spikeSample{ts: h.Timestamp, variance: h.DeltaRMSVariance})\n\t\t}\n\t}\n\n\tif len(allSpikes) == 0 {\n\t\treturn nil\n\t}\n\n\t// Sort spikes by timestamp\n\tsort.Slice(allSpikes, func(i, j int) bool {\n\t\treturn allSpikes[i].ts.Before(allSpikes[j].ts)\n\t})\n\n\t// Cluster consecutive spikes (within 2 minutes) into events\n\t// Return the start time of each event\n\tvar events []time.Time\n\teventStart := allSpikes[0].ts\n\tlastSpikeTime := allSpikes[0].ts\n\n\tfor i := 1; i < len(allSpikes); i++ {\n\t\t// If this spike is more than 2 minutes after the last, it's a new event\n\t\tif allSpikes[i].ts.Sub(lastSpikeTime) > 2*time.Minute {\n\t\t\tevents = append(events, eventStart)\n\t\t\teventStart = allSpikes[i].ts\n\t\t}\n\t\tlastSpikeTime = allSpikes[i].ts\n\t}\n\t// Add the last event\n\tevents = append(events, eventStart)\n\n\treturn events\n}\n\nfunc isPeriodic(spikes []time.Time, minInterval, maxInterval time.Duration) bool {\n\tif len(spikes) < 3 {\n\t\treturn false\n\t}\n\n\t// Sort spikes by timestamp to handle any order\n\tsortedSpikes := make([]time.Time, len(spikes))\n\tcopy(sortedSpikes, spikes)\n\tsort.Slice(sortedSpikes, func(i, j int) bool {\n\t\treturn sortedSpikes[i].Before(sortedSpikes[j])\n\t})\n\n\t// Calculate intervals between spikes\n\tintervals := make([]time.Duration, len(sortedSpikes)-1)\n\tfor i := 0; i < len(sortedSpikes)-1; i++ {\n\t\tintervals[i] = sortedSpikes[i+1].Sub(sortedSpikes[i])\n\t}\n\n\t// Check if intervals are relatively consistent (within 50% of each other)\n\tif len(intervals) == 0 {\n\t\treturn false\n\t}\n\n\tavgInterval := averageDurations(intervals)\n\tif avgInterval < minInterval || avgInterval > maxInterval*3 {\n\t\treturn false\n\t}\n\n\t// Count intervals within tolerance of average\n\ttolerance := 0.5\n\twithinTolerance := 0\n\tfor _, interval := range intervals {\n\t\tratio := float64(interval) / float64(avgInterval)\n\t\tif ratio > (1-tolerance) && ratio < (1+tolerance) {\n\t\t\twithinTolerance++\n\t\t}\n\t}\n\n\t// At least 60% of intervals should be within tolerance\n\treturn float64(withinTolerance)/float64(len(intervals)) >= 0.6\n}\n\nfunc averageDurations(durations []time.Duration) time.Duration {\n\tif len(durations) == 0 {\n\t\treturn 0\n\t}\n\tvar sum time.Duration\n\tfor _, d := range durations {\n\t\tsum += d\n\t}\n\treturn sum / time.Duration(len(durations))\n}\n\n// Formatting helpers\n\nfunc formatWiFiDetail(nodeMAC string, avgPacketRate float64) string {\n\tpct := int(avgPacketRate / 20.0 * 100)\n\tif nodeMAC != \"\" {\n\t\treturn formatNodeLabel(nodeMAC) + \" is only delivering \" + formatInt(pct) + \"% of the expected 20 packets per second. The most common causes are distance from the WiFi router or congestion from nearby networks.\"\n\t}\n\treturn \"This link is only delivering \" + formatInt(pct) + \"% of the expected packets. The most common causes are distance from the WiFi router or congestion from nearby networks.\"\n}\n\nfunc formatWiFiAdvice(nodeMAC string) string {\n\tlabel := \"the node\"\n\tif nodeMAC != \"\" {\n\t\tlabel = formatNodeLabel(nodeMAC)\n\t}\n\treturn \"1. Move \" + label + \" within 10 metres of your WiFi router. \" +\n\t\t\"2. If already close, check if the 2.4GHz channel is congested (3+ networks on overlapping channels). \" +\n\t\t\"3. ESP32-S3 supports both 2.4GHz and 5GHz - if your router supports 5GHz, update the node's WiFi config to use the 5GHz SSID.\"\n}\n\nfunc formatMetalTitle(nodeMAC string) string {\n\tif nodeMAC != \"\" {\n\t\treturn \"Metal interference near \" + formatNodeLabel(nodeMAC)\n\t}\n\treturn \"Metal interference detected\"\n}\n\nfunc formatMetalDetail(linkID string) string {\n\tnodeA := extractNodeAMAC(linkID)\n\tnodeB := extractNodeBMAC(linkID)\n\tif nodeA != \"\" && nodeB != \"\" {\n\t\treturn \"The sensing link \" + formatNodeLabel(nodeA) + \" to \" + formatNodeLabel(nodeB) + \" has unstable phase measurements even when no one is moving. This is typically caused by metal objects in the near field of the node's antenna (within 10cm): metal shelves, radiators, TV backs, or large appliances.\"\n\t}\n\treturn \"This sensing link has unstable phase measurements even when no one is moving. This is typically caused by metal objects in the near field of the node's antenna (within 10cm).\"\n}\n\nfunc formatMetalAdvice(nodeMAC string) string {\n\tlabel := \"the node\"\n\tif nodeMAC != \"\" {\n\t\tlabel = formatNodeLabel(nodeMAC)\n\t}\n\treturn \"Check for metal objects within 10cm of \" + label + \". \" +\n\t\t\"If \" + label + \" is on a metal surface or shelf, mount it on a non-metal bracket or wall. \" +\n\t\t\"Try repositioning it 20-30cm away from metal surfaces.\"\n}\n\nfunc formatFresnelDetail(linkID, zoneDesc string) string {\n\tnodeA := extractNodeAMAC(linkID)\n\tnodeB := extractNodeBMAC(linkID)\n\tif nodeA != \"\" && nodeB != \"\" {\n\t\treturn \"The area near \" + zoneDesc + \" shows lower detection coverage. An obstacle may be blocking the path between \" + formatNodeLabel(nodeA) + \" and \" + formatNodeLabel(nodeB) + \", interrupting their sensing zone.\"\n\t}\n\treturn \"The area near \" + zoneDesc + \" shows lower detection coverage. An obstacle may be blocking the sensing zone.\"\n}\n\nfunc formatFresnelAdvice(nodeMAC string, blockedZone, target *Vec3, improvement float64) string {\n\tif target == nil || nodeMAC == \"\" {\n\t\treturn \"Check for obstructions between the nodes. Large furniture, appliances, or metal objects can block the sensing zone.\"\n\t}\n\n\t// Calculate direction from current position\n\tdirection := calculateDirection(blockedZone, target)\n\tdistance := calculateDistance(blockedZone, target)\n\n\tadvice := \"Move \" + formatNodeLabel(nodeMAC) + \" \" + direction + \" by approximately \" + formatDistance(distance) + \" to restore coverage.\"\n\n\tif improvement > 0 {\n\t\tadvice += \" The target position is marked in green in the 3D view.\"\n\t}\n\n\treturn advice\n}\n\nfunc formatInterferenceDetail(nodeA, nodeB string, eventsPerHour int) string {\n\tif nodeA != \"\" && nodeB != \"\" {\n\t\treturn formatNodeLabel(nodeA) + \" to \" + formatNodeLabel(nodeB) + \" is experiencing regular interference bursts \" + formatInt(eventsPerHour) + \" times per hour. This pattern is consistent with a microwave oven, a cordless phone, or a pulsed 2.4GHz source.\"\n\t}\n\treturn \"This link is experiencing regular interference bursts \" + formatInt(eventsPerHour) + \" times per hour. This pattern is consistent with a microwave oven, a cordless phone, or a pulsed 2.4GHz source.\"\n}\n\nfunc formatInterferenceAdvice(nodeA, nodeB string) string {\n\tnodes := \"the nodes\"\n\tif nodeA != \"\" && nodeB != \"\" {\n\t\tnodes = formatNodeLabel(nodeA) + \" or \" + formatNodeLabel(nodeB)\n\t}\n\treturn \"Consider the following: \" +\n\t\t\"1. Is \" + nodes + \" near a kitchen? Microwave ovens cause strong 2.4GHz interference. \" +\n\t\t\"2. A cordless DECT phone or baby monitor near one of the nodes may be the source. \" +\n\t\t\"3. Try moving the affected node at least 2 metres from any 2.4GHz appliances.\"\n}\n\nfunc formatZoneDescription(pos Vec3) string {\n\t// Simple zone description based on position\n\t// This could be enhanced with room-relative positioning\n\treturn formatFloat(pos.X, 1) + \"m, \" + formatFloat(pos.Z, 1) + \"m from origin\"\n}\n\nfunc formatNodeLabel(mac string) string {\n\tif len(mac) >= 8 {\n\t\treturn \"Node \" + mac[:8]\n\t}\n\treturn \"Node\"\n}\n\nfunc calculateDirection(from, to *Vec3) string {\n\tif from == nil || to == nil {\n\t\treturn \"\"\n\t}\n\n\tdx := to.X - from.X\n\tdz := to.Z - from.Z\n\n\tvar direction string\n\tif math.Abs(dz) > math.Abs(dx) {\n\t\tif dz > 0 {\n\t\t\tdirection = \"forward\"\n\t\t} else {\n\t\t\tdirection = \"backward\"\n\t\t}\n\t} else {\n\t\tif dx > 0 {\n\t\t\tdirection = \"right\"\n\t\t} else {\n\t\t\tdirection = \"left\"\n\t\t}\n\t}\n\n\treturn direction\n}\n\nfunc calculateDistance(from, to *Vec3) float64 {\n\tif from == nil || to == nil {\n\t\treturn 0\n\t}\n\tdx := to.X - from.X\n\tdz := to.Z - from.Z\n\treturn math.Sqrt(dx*dx + dz*dz)\n}\n\nfunc formatDistance(m float64) string {\n\tif m < 0.5 {\n\t\treturn formatFloat(m*100, 0) + \"cm\"\n\t}\n\treturn formatFloat(m, 1) + \" metres\"\n}\n\nfunc formatInt(n int) string {\n\tif n < 0 {\n\t\treturn \"0\"\n\t}\n\treturn fmt.Sprintf(\"%d\", n)\n}\n\nfunc formatFloat(f float64, decimals int) string {\n\treturn fmt.Sprintf(\"%.[2]*[1]f\", f, decimals)\n}\n\n// Tooltip represents a contextual help tooltip for a feature.\ntype Tooltip struct {\n\tTitle string\n\tDescription string\n\tDirection string // \"top\", \"bottom\", \"left\", \"right\"\n}\n\n// GetDiagnosticFor returns diagnostic information for a specific link at a given timestamp.\n// This is used by the post-feedback explanation system to provide root cause analysis\n// for false positive detections.\nfunc (de *DiagnosticEngine) GetDiagnosticFor(linkID string, timestamp time.Time) *Diagnosis {\n\tde.mu.RLock()\n\tgetHealthHistory := de.getHealthHistory\n\twindow := de.config.HistoryWindow\n\tde.mu.RUnlock()\n\n\tif getHealthHistory == nil {\n\t\treturn nil\n\t}\n\n\t// Get health history around the specified timestamp\n\thistory := getHealthHistory(linkID, window)\n\tif len(history) < de.config.MinSamples {\n\t\t// Not enough data - return a generic diagnosis\n\t\treturn &Diagnosis{\n\t\t\tLinkID: linkID,\n\t\t\tRuleID: \"insufficient_data\",\n\t\t\tSeverity: SeverityINFO,\n\t\t\tTitle: \"Not enough data for diagnosis\",\n\t\t\tDetail: \"This link hasn't been active long enough to analyze.\",\n\t\t\tAdvice: \"Continue normal operation. Diagnostics will be available after more data is collected.\",\n\t\t\tConfidenceScore: 0.0,\n\t\t\tTimestamp: time.Now(),\n\t\t}\n\t}\n\n\t// Find the snapshot closest to the requested timestamp\n\tvar closestSnapshot *LinkHealthSnapshot\n\tminDiff := time.Duration(1<<63 - 1) // Max duration\n\n\tfor i := range history {\n\t\tdiff := history[i].Timestamp.Sub(timestamp)\n\t\tif diff < 0 {\n\t\t\tdiff = -diff\n\t\t}\n\t\tif diff < minDiff {\n\t\t\tminDiff = diff\n\t\t\tclosestSnapshot = &history[i]\n\t\t}\n\t}\n\n\tif closestSnapshot == nil {\n\t\treturn nil\n\t}\n\n\t// Check which diagnostic rules would have fired at that time\n\t// We'll run a focused diagnostic check around the timestamp\n\n\t// Rule: Check for environmental change indicators\n\tif closestSnapshot.DriftRate > 0.05 {\n\t\treturn &Diagnosis{\n\t\t\tLinkID: linkID,\n\t\t\tRuleID: \"environmental_change\",\n\t\t\tSeverity: SeverityINFO,\n\t\t\tTitle: \"Possible environmental change\",\n\t\t\tDetail: \"The baseline for this link has drifted significantly. This could be caused by temperature changes, furniture movement, or new obstructions.\",\n\t\t\tAdvice: \"The system is adapting automatically. No action needed unless this persists.\",\n\t\t\tConfidenceScore: 0.70,\n\t\t\tTimestamp: time.Now(),\n\t\t}\n\t}\n\n\t// Rule: Check for WiFi congestion indicators\n\tif closestSnapshot.PacketRate < 16.0 { // Less than 80% of expected 20 Hz\n\t\tnodeBMAC := extractNodeBMAC(linkID)\n\t\treturn &Diagnosis{\n\t\t\tLinkID: linkID,\n\t\t\tRuleID: \"wifi_congestion\",\n\t\t\tSeverity: SeverityACTIONABLE,\n\t\t\tTitle: \"Possible WiFi congestion\",\n\t\t\tDetail: formatWiFiDetail(nodeBMAC, closestSnapshot.PacketRate),\n\t\t\tAdvice: formatWiFiAdvice(nodeBMAC),\n\t\t\tRepositioningNodeMAC: nodeBMAC,\n\t\t\tConfidenceScore: 0.75,\n\t\t\tTimestamp: time.Now(),\n\t\t}\n\t}\n\n\t// Rule: Check for phase instability (metal interference)\n\tif closestSnapshot.PhaseStability > 0.6 {\n\t\tnodeAMAC := extractNodeAMAC(linkID)\n\t\treturn &Diagnosis{\n\t\t\tLinkID: linkID,\n\t\t\tRuleID: \"metal_interference\",\n\t\t\tSeverity: SeverityACTIONABLE,\n\t\t\tTitle: formatMetalTitle(nodeAMAC),\n\t\t\tDetail: formatMetalDetail(linkID),\n\t\t\tAdvice: formatMetalAdvice(nodeAMAC),\n\t\t\tRepositioningNodeMAC: nodeAMAC,\n\t\t\tConfidenceScore: 0.80,\n\t\t\tTimestamp: time.Now(),\n\t\t}\n\t}\n\n\t// Rule: Check for periodic interference patterns\n\tif closestSnapshot.DeltaRMSVariance > 2.0 {\n\t\tnodeAMAC := extractNodeAMAC(linkID)\n\t\tnodeBMAC := extractNodeBMAC(linkID)\n\t\treturn &Diagnosis{\n\t\t\tLinkID: linkID,\n\t\t\tRuleID: \"periodic_interference\",\n\t\t\tSeverity: SeverityWARNING,\n\t\t\tTitle: \"Possible periodic interference\",\n\t\t\tDetail: formatInterferenceDetail(nodeAMAC, nodeBMAC, 3),\n\t\t\tAdvice: formatInterferenceAdvice(nodeAMAC, nodeBMAC),\n\t\t\tConfidenceScore: 0.70,\n\t\t\tTimestamp: time.Now(),\n\t\t}\n\t}\n\n\t// Default: no specific issue found\n\treturn &Diagnosis{\n\t\tLinkID: linkID,\n\t\tRuleID: \"no_issue_detected\",\n\t\tSeverity: SeverityINFO,\n\t\tTitle: \"No specific issue detected\",\n\t\tDetail: \"The link health metrics appear normal. 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Let me analyze what's already there:\n\n1. `dashboard/js/proactive.js` - This already has:\n - `monitorLinkQuality()` function that monitors links for quality drops\n - `showQualityPrompt()` that shows the prompt card\n - `dismissQualityPrompt()` and `dismissQualityPromptForToday()`\n - `highlightLinkIn3D()` and `unhighlightLinkIn3D()` for the pulsing amber highlight\n - `diagnoseLink()` that fetches diagnostics from `/api/diagnostics/link/{linkID}`\n - `showDiagnosticResults()` that displays diagnostic results\n\n2. `mothership/internal/diagnostics/linkweather.go` - This already has:\n - `DiagnosticEngine` struct with various diagnostic rules\n - `GetDiagnosticFor(linkID string, timestamp time.Time) *Diagnosis` method (lines 1021-1145)\n\nThe code looks quite complete already! Let me check if there's an API endpoint for the diagnostics:","signature":""}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","uuid":"bd141ca0-7029-4dfc-b2af-d4b7e27686e1"} +{"type":"stream_event","event":{"type":"content_block_stop","index":0},"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","parent_tool_use_id":null,"uuid":"4f6df0cf-b88b-4962-8dda-7b80c1e63529"} +{"type":"stream_event","event":{"type":"content_block_start","index":1,"content_block":{"type":"text","text":""}},"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","parent_tool_use_id":null,"uuid":"3edb1700-ad89-4556-9cea-effeb9d63601"} +{"type":"stream_event","event":{"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"Let"}},"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","parent_tool_use_id":null,"uuid":"611f6cb3-e0c0-452b-89db-552c932da9e2"} 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mockDocument = {\n15\t createElement: jest.fn((tag) => {\n16\t const element = {\n17\t id: '',\n18\t className: '',\n19\t innerHTML: '',\n20\t style: {},\n21\t appendChild: jest.fn(),\n22\t remove: jest.fn(),\n23\t addEventListener: jest.fn(),\n24\t querySelector: jest.fn(),\n25\t querySelectorAll: jest.fn(() => []),\n26\t classList: {\n27\t add: jest.fn(),\n28\t remove: jest.fn(),\n29\t contains: jest.fn()\n30\t }\n31\t };\n32\t return element;\n33\t }),\n34\t body: {\n35\t appendChild: jest.fn((element) => {\n36\t // Store created elements so getElementById can find them\n37\t if (element.id) {\n38\t createdElements[element.id] = element;\n39\t }\n40\t }),\n41\t },\n42\t head: {\n43\t appendChild: jest.fn(),\n44\t },\n45\t readyState: 'complete',\n46\t getElementById: jest.fn((id) => {\n47\t // Return created elements if they exist\n48\t if (createdElements[id]) {\n49\t return createdElements[id];\n50\t }\n51\t // Otherwise return null for uncreated elements\n52\t return null;\n53\t }),\n54\t };\n55\t\n56\t // Mock fetch to prevent server-side hint detection during tests\n57\t const mockFetch = jest.fn().mockResolvedValue({\n58\t ok: true,\n59\t json: async () => ({\n60\t // Return settings without repeated_edit_hint flag\n61\t delta_rms_threshold: 0.02,\n62\t })\n63\t });\n64\t global.fetch = mockFetch;\n65\t\n66\t mockWindow = {\n67\t Viz3D: {\n68\t highlightLink: jest.fn(),\n69\t },\n70\t Replay: {\n71\t pauseAndTune: jest.fn(),\n72\t },\n73\t openSettingsPanel: jest.fn(),\n74\t SpaxelRouter: {\n75\t navigate: jest.fn(),\n76\t },\n77\t dispatchEvent: jest.fn(),\n78\t addEventListener: jest.fn(),\n79\t };\n80\t\n81\t global.document = mockDocument;\n82\t global.window = mockWindow;\n83\t\n84\t // Load the module - it attaches to window.Proactive\n85\t jest.resetModules();\n86\t require('./proactive.js');\n87\t Proactive = global.window.Proactive;\n88\t });\n89\t\n90\t afterEach(() => {\n91\t jest.clearAllMocks();\n92\t });\n93\t\n94\t describe('Quality Prompt Detection', () => {\n95\t test('should track poor quality links over time', () => {\n96\t const links = [\n97\t { link_id: 'AA:BB:CC:DD:EE:FF:11:22', composite_score: 0.5 },\n98\t { link_id: '11:22:33:44:55:66:77:88', composite_score: 0.8 },\n99\t ];\n100\t\n101\t Proactive.monitorLinkQuality(links);\n102\t\n103\t // Should track the poor quality link\n104\t // (In real scenario, would check qualityPromptLinkID)\n105\t });\n106\t\n107\t test('should not show prompt for transient drops (< 5 minutes)', () => {\n108\t const now = Date.now();\n109\t const links = [\n110\t { link_id: 'test-link-1', composite_score: 0.55 },\n111\t ];\n112\t\n113\t // Mock that the link just started being tracked\n114\t Proactive.monitorLinkQuality(links);\n115\t\n116\t // Prompt should not be shown yet\n117\t const prompt = document.getElementById('quality-prompt-card');\n118\t expect(prompt).toBeNull();\n119\t });\n120\t });\n121\t\n122\t describe('Setting Change Tracking', () => {\n123\t beforeEach(() => {\n124\t // Clear localStorage\n125\t localStorage.clear();\n126\t });\n127\t\n128\t test('should track qualifying setting changes', () => {\n129\t Proactive.trackSettingChange('delta_rms_threshold', 0.02);\n130\t Proactive.trackSettingChange('delta_rms_threshold', 0.025);\n131\t Proactive.trackSettingChange('delta_rms_threshold', 0.03);\n132\t\n133\t // Should trigger hint after 3 changes\n134\t const hint = document.getElementById('setting-change-hint');\n135\t expect(hint).not.toBeUndefined();\n136\t });\n137\t\n138\t test('should not track non-qualifying settings', () => {\n139\t Proactive.trackSettingChange('theme', 'dark');\n140\t Proactive.trackSettingChange('theme', 'light');\n141\t Proactive.trackSettingChange('theme', 'dark');\n142\t\n143\t // Should not trigger hint for non-qualifying settings\n144\t const hint = document.getElementById('setting-change-hint');\n145\t expect(hint).toBeNull();\n146\t });\n147\t\n148\t test('should respect hint cooldown period', () => {\n149\t // This would require mocking Date.now()\n150\t // For now, just verify the function exists\n151\t expect(Proactive.dismissSettingHint).toBeDefined();\n152\t });\n153\t });\n154\t\n155\t describe('Feedback Explanations', () => {\n156\t test('should show explanation for false positive feedback', () => {\n157\t const eventData = {\n158\t type: 'incorrect',\n159\t explainability: {\n160\t contributing_links: [\n161\t {\n162\t link_id: 'test-link',\n163\t delta_rms: 0.05,\n164\t diagnosis: {\n165\t detail: 'WiFi congestion detected',\n166\t advice: 'Move node closer to router'\n167\t }\n168\t }\n169\t ]\n170\t }\n171\t };\n172\t\n173\t const explanation = Proactive.showFeedbackExplanation(eventData);\n174\t expect(explanation).not.toBeNull();\n175\t expect(explanation.innerHTML).toContain('deltaRMS');\n176\t });\n177\t\n178\t test('should handle missing explainability data gracefully', () => {\n179\t const eventData = {\n180\t type: 'incorrect'\n181\t };\n182\t\n183\t const explanation = Proactive.showFeedbackExplanation(eventData);\n184\t expect(explanation).toBeUndefined();\n185\t });\n186\t });\n187\t\n188\t describe('Link Diagnostics', () => {\n189\t test('should format link IDs for display', () => {\n190\t // This tests the internal formatLinkID function\n191\t // Since it's not exposed, we verify through diagnoseLink\n192\t const linkID = 'AA:BB:CC:DD:EE:FF:11:22';\n193\t\n194\t Proactive.diagnoseLink(linkID);\n195\t\n196\t // Should create a diagnostic panel\n197\t const panel = document.getElementById('diagnostic-results-panel');\n198\t expect(panel).not.toBeNull();\n199\t });\n200\t\n201\t test('should fetch diagnostics from API', async () => {\n202\t const mockFetch = jest.fn().mockResolvedValue({\n203\t ok: true,\n204\t json: async () => ({\n205\t diagnosis: {\n206\t title: 'Test Diagnosis',\n207\t detail: 'Test detail',\n208\t advice: 'Test advice',\n209\t severity: 'warning'\n210\t }\n211\t })\n212\t });\n213\t\n214\t global.fetch = mockFetch;\n215\t\n216\t await Proactive.fetchDiagnosticForLink('test-link', Date.now());\n217\t\n218\t expect(mockFetch).toHaveBeenCalledWith(\n219\t expect.stringContaining('diagnostics/link/test-link')\n220\t );\n221\t });\n222\t });\n223\t\n224\t describe('Helper Functions', () => {\n225\t test('should format setting names for display', () => {\n226\t // Test the internal formatSettingName function\n227\t // Since it's not exposed, we verify it works through setting change tracking\n228\t Proactive.trackSettingChange('delta_rms_threshold', 0.02);\n229\t\n230\t const hint = document.getElementById('setting-change-hint');\n231\t expect(hint).not.toBeNull();\n232\t expect(hint.innerHTML).toContain('Motion Threshold');\n233\t });\n234\t });\n235\t});\n236\t\n237\t// Test helper functions\n238\tdescribe('formatLinkID', () => {\n239\t it('should format MAC address pairs', () => {\n240\t // This would be tested through the module\n241\t // For now, we document the expected format\n242\t const linkID = 'AA:BB:CC:DD:EE:FF:11:22';\n243\t const expected = 'AA:BB:CC:DD → 11:22';\n244\t // The actual function is internal to proactive.js\n245\t });\n246\t});\n247\t\n248\tdescribe('Help Overlay Module', () => {\n249\t let HelpOverlay;\n250\t let mockDocument;\n251\t let mockFetch;\n252\t\n253\t beforeEach(() => {\n254\t mockDocument = {\n255\t createElement: jest.fn((tag) => {\n256\t const el = {\n257\t id: '',\n258\t className: '',\n259\t innerHTML: '',\n260\t style: {},\n261\t appendChild: jest.fn(),\n262\t remove: jest.fn(),\n263\t addEventListener: jest.fn(),\n264\t querySelector: jest.fn(() => null),\n265\t querySelectorAll: jest.fn(() => []),\n266\t focus: jest.fn(),\n267\t };\n268\t if (tag === 'div') el.tagName = 'DIV';\n269\t if (tag === 'input') el.tagName = 'INPUT';\n270\t if (tag === 'button') el.tagName = 'BUTTON';\n271\t if (tag === 'style') el.tagName = 'STYLE';\n272\t return el;\n273\t }),\n274\t body: {\n275\t appendChild: jest.fn(),\n276\t },\n277\t head: {\n278\t appendChild: jest.fn(),\n279\t },\n280\t readyState: 'loading',\n281\t addEventListener: jest.fn(),\n282\t getElementById: jest.fn((id) => {\n283\t if (id === 'help-overlay') {\n284\t return { style: { display: 'none' } };\n285\t }\n286\t return null;\n287\t }),\n288\t };\n289\t\n290\t mockFetch = jest.fn().mockResolvedValue({\n291\t ok: true,\n292\t json: async () => [\n293\t {\n294\t id: 'test-article',\n295\t title: 'Test Article',\n296\t content: 'Test content',\n297\t category: 'Test',\n298\t }\n299\t ]\n300\t });\n301\t\n302\t global.document = mockDocument;\n303\t global.fetch = mockFetch;\n304\t\n305\t jest.resetModules();\n306\t HelpOverlay = require('./help.js');\n307\t });\n308\t\n309\t afterEach(() => {\n310\t jest.clearAllMocks();\n311\t });\n312\t\n313\t describe('Initialization', () => {\n314\t test('should load articles from JSON file', async () => {\n315\t await HelpOverlay.init();\n316\t\n317\t expect(mockFetch).toHaveBeenCalledWith('/help_articles.json');\n318\t });\n319\t\n320\t test('should handle JSON load failure gracefully', async () => {\n321\t mockFetch = jest.fn().mockRejectedValue(new Error('Load failed'));\n322\t\n323\t global.fetch = mockFetch;\n324\t jest.resetModules();\n325\t HelpOverlay = require('./help.js');\n326\t\n327\t await HelpOverlay.init();\n328\t\n329\t // Should use fallback articles\n330\t expect(HelpOverlay).toBeDefined();\n331\t });\n332\t });\n333\t\n334\t describe('Search Functionality', () => {\n335\t test('should filter articles by search query', async () => {\n336\t await HelpOverlay.init();\n337\t HelpOverlay.open();\n338\t\n339\t // Set search input\n340\t const searchInput = mockDocument.getElementById('help-search-input');\n341\t searchInput.value = 'fresnel';\n342\t\n343\t // Trigger search event\n344\t const searchEvent = new Event('input');\n345\t searchInput.dispatchEvent(searchEvent);\n346\t\n347\t // Articles should be filtered\n348\t // (In real scenario, would check articlesList.innerHTML)\n349\t });\n350\t\n351\t test('should support fuzzy matching', () => {\n352\t // Test the internal fuzzyMatch function\n353\t // Since it's not exposed, we verify through search behavior\n354\t });\n355\t });\n356\t\n357\t describe('Category Filtering', () => {\n358\t test('should render category filter buttons', async () => {\n359\t await HelpOverlay.init();\n360\t HelpOverlay.open();\n361\t\n362\t const categories = document.getElementById('help-categories');\n363\t expect(categories).not.toBeNull();\n364\t });\n365\t\n366\t test('should filter articles when category clicked', async () => {\n367\t await HelpOverlay.init();\n368\t HelpOverlay.open();\n369\t\n370\t // Click on a category button\n371\t // (In real scenario, would simulate button click)\n372\t });\n373\t });\n374\t\n375\t describe('UI Interaction', () => {\n376\t test('should open overlay on toggle', async () => {\n377\t await HelpOverlay.init();\n378\t\n379\t HelpOverlay.toggle();\n380\t expect(HelpOverlay.isOpen()).toBe(true);\n381\t\n382\t HelpOverlay.toggle();\n383\t expect(HelpOverlay.isOpen()).toBe(false);\n384\t });\n385\t\n386\t test('should close overlay on escape key', async () => {\n387\t await HelpOverlay.init();\n388\t HelpOverlay.open();\n389\t\n390\t const escapeEvent = new KeyboardEvent('keydown', { key: 'Escape' });\n391\t document.dispatchEvent(escapeEvent);\n392\t\n393\t expect(HelpOverlay.isOpen()).toBe(false);\n394\t });\n395\t });\n396\t});\n397\t\n398\tdescribe('Help Articles JSON', () => {\n399\t let articles;\n400\t\n401\t beforeEach(async () => {\n402\t // Mock fetch to return the articles\n403\t global.fetch = jest.fn().mockResolvedValue({\n404\t ok: true,\n405\t json: async () => {\n406\t const fs = require('fs');\n407\t const path = require('path');\n408\t const jsonPath = path.join(__dirname, '..', 'help_articles.json');\n409\t return JSON.parse(fs.readFileSync(jsonPath, 'utf8'));\n410\t }\n411\t });\n412\t });\n413\t\n414\t test('should have 30+ articles', async () => {\n415\t const response = await fetch('/help_articles.json');\n416\t articles = await response.json();\n417\t\n418\t expect(articles.length).toBeGreaterThanOrEqual(30);\n419\t });\n420\t\n421\t test('should have required article fields', async () => {\n422\t const response = await fetch('/help_articles.json');\n423\t articles = await response.json();\n424\t\n425\t articles.forEach(article => {\n426\t expect(article).toHaveProperty('id');\n427\t expect(article).toHaveProperty('title');\n428\t expect(article).toHaveProperty('content');\n429\t expect(article).toHaveProperty('category');\n430\t });\n431\t });\n432\t\n433\t test('should cover all major categories', async () => {\n434\t const response = await fetch('/help_articles.json');\n435\t articles = await response.json();\n436\t\n437\t const categories = new Set(articles.map(a => a.category));\n438\t const expectedCategories = [\n439\t 'Basics', 'Troubleshooting', 'Setup', 'Features',\n440\t 'Advanced', 'Interface', 'Maintenance', 'Integration'\n441\t ];\n442\t\n443\t expectedCategories.forEach(cat => {\n444\t expect(categories.has(cat)).toBe(true);\n445\t });\n446\t });\n447\t\n448\t test('should have Fresnel zone article', async () => {\n449\t const response = await fetch('/help_articles.json');\n450\t articles = await response.json();\n451\t\n452\t const fresnelArticle = articles.find(a => a.id === 'fresnel-zone');\n453\t expect(fresnelArticle).toBeDefined();\n454\t expect(fresnelArticle.title).toContain('Fresnel');\n455\t });\n456\t\n457\t test('should have detection quality article', async () => {\n458\t const response = await fetch('/help_articles.json');\n459\t articles = await response.json();\n460\t\n461\t const qualityArticle = articles.find(a => a.id === 'detection-quality');\n462\t expect(qualityArticle).toBeDefined();\n463\t expect(qualityArticle.content).toContain('interference');\n464\t });\n465\t\n466\t test('should have help article for predictions', async () => {\n467\t const response = await fetch('/help_articles.json');\n468\t articles = await response.json();\n469\t\n470\t const predictionsArticle = articles.find(a => a.id === 'predictions');\n471\t expect(predictionsArticle).toBeDefined();\n472\t expect(predictionsArticle.content).toContain('7 days');\n473\t });\n474\t});\n475\t"}]},"parent_tool_use_id":null,"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","uuid":"e6bafa75-c3cd-4032-a411-53fb3ea365d4","timestamp":"2026-05-04T04:08:25.803Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/spaxel/dashboard/js/proactive.test.js","content":"/**\n * Tests for Proactive Quality Assistance Module\n */\n\ndescribe('Proactive Quality Module', () => {\n let Proactive;\n let mockDocument;\n let mockWindow;\n\n beforeEach(() => {\n // Mock document and window\n let createdElements = {};\n\n mockDocument = {\n createElement: jest.fn((tag) => {\n const element = {\n id: '',\n className: '',\n innerHTML: '',\n style: {},\n appendChild: jest.fn(),\n remove: jest.fn(),\n addEventListener: jest.fn(),\n querySelector: jest.fn(),\n querySelectorAll: jest.fn(() => []),\n classList: {\n add: jest.fn(),\n remove: jest.fn(),\n contains: jest.fn()\n }\n };\n return element;\n }),\n body: {\n appendChild: jest.fn((element) => {\n // Store created elements so getElementById can find them\n if (element.id) {\n createdElements[element.id] = element;\n }\n }),\n },\n head: {\n appendChild: jest.fn(),\n },\n readyState: 'complete',\n getElementById: jest.fn((id) => {\n // Return created elements if they exist\n if (createdElements[id]) {\n return createdElements[id];\n }\n // Otherwise return null for uncreated elements\n return null;\n }),\n };\n\n // Mock fetch to prevent server-side hint detection during tests\n const mockFetch = jest.fn().mockResolvedValue({\n ok: true,\n json: async () => ({\n // Return settings without repeated_edit_hint flag\n delta_rms_threshold: 0.02,\n })\n });\n global.fetch = mockFetch;\n\n mockWindow = {\n Viz3D: {\n highlightLink: jest.fn(),\n },\n Replay: {\n pauseAndTune: jest.fn(),\n },\n openSettingsPanel: jest.fn(),\n SpaxelRouter: {\n navigate: jest.fn(),\n },\n dispatchEvent: jest.fn(),\n addEventListener: jest.fn(),\n };\n\n global.document = mockDocument;\n global.window = mockWindow;\n\n // Load the module - it attaches to window.Proactive\n jest.resetModules();\n require('./proactive.js');\n Proactive = global.window.Proactive;\n });\n\n afterEach(() => {\n jest.clearAllMocks();\n });\n\n describe('Quality Prompt Detection', () => {\n test('should track poor quality links over time', () => {\n const links = [\n { link_id: 'AA:BB:CC:DD:EE:FF:11:22', composite_score: 0.5 },\n { link_id: '11:22:33:44:55:66:77:88', composite_score: 0.8 },\n ];\n\n Proactive.monitorLinkQuality(links);\n\n // Should track the poor quality link\n // (In real scenario, would check qualityPromptLinkID)\n });\n\n test('should not show prompt for transient drops (< 5 minutes)', () => {\n const now = Date.now();\n const links = [\n { link_id: 'test-link-1', composite_score: 0.55 },\n ];\n\n // Mock that the link just started being tracked\n Proactive.monitorLinkQuality(links);\n\n // Prompt should not be shown yet\n const prompt = document.getElementById('quality-prompt-card');\n expect(prompt).toBeNull();\n });\n });\n\n describe('Setting Change Tracking', () => {\n beforeEach(() => {\n // Clear localStorage\n localStorage.clear();\n });\n\n test('should track qualifying setting changes', () => {\n Proactive.trackSettingChange('delta_rms_threshold', 0.02);\n Proactive.trackSettingChange('delta_rms_threshold', 0.025);\n Proactive.trackSettingChange('delta_rms_threshold', 0.03);\n\n // Should trigger hint after 3 changes\n const hint = document.getElementById('setting-change-hint');\n expect(hint).not.toBeUndefined();\n });\n\n test('should not track non-qualifying settings', () => {\n Proactive.trackSettingChange('theme', 'dark');\n Proactive.trackSettingChange('theme', 'light');\n Proactive.trackSettingChange('theme', 'dark');\n\n // Should not trigger hint for non-qualifying settings\n const hint = document.getElementById('setting-change-hint');\n expect(hint).toBeNull();\n });\n\n test('should respect hint cooldown period', () => {\n // This would require mocking Date.now()\n // For now, just verify the function exists\n expect(Proactive.dismissSettingHint).toBeDefined();\n });\n });\n\n describe('Feedback Explanations', () => {\n test('should show explanation for false positive feedback', () => {\n const eventData = {\n type: 'incorrect',\n explainability: {\n contributing_links: [\n {\n link_id: 'test-link',\n delta_rms: 0.05,\n diagnosis: {\n detail: 'WiFi congestion detected',\n advice: 'Move node closer to router'\n }\n }\n ]\n }\n };\n\n const explanation = Proactive.showFeedbackExplanation(eventData);\n expect(explanation).not.toBeNull();\n expect(explanation.innerHTML).toContain('deltaRMS');\n });\n\n test('should handle missing explainability data gracefully', () => {\n const eventData = {\n type: 'incorrect'\n };\n\n const explanation = Proactive.showFeedbackExplanation(eventData);\n expect(explanation).toBeUndefined();\n });\n });\n\n describe('Link Diagnostics', () => {\n test('should format link IDs for display', () => {\n // This tests the internal formatLinkID function\n // Since it's not exposed, we verify through diagnoseLink\n const linkID = 'AA:BB:CC:DD:EE:FF:11:22';\n\n Proactive.diagnoseLink(linkID);\n\n // Should create a diagnostic panel\n const panel = document.getElementById('diagnostic-results-panel');\n expect(panel).not.toBeNull();\n });\n\n test('should fetch diagnostics from API', async () => {\n const mockFetch = jest.fn().mockResolvedValue({\n ok: true,\n json: async () => ({\n diagnosis: {\n title: 'Test Diagnosis',\n detail: 'Test detail',\n advice: 'Test advice',\n severity: 'warning'\n }\n })\n });\n\n global.fetch = mockFetch;\n\n await Proactive.fetchDiagnosticForLink('test-link', Date.now());\n\n expect(mockFetch).toHaveBeenCalledWith(\n expect.stringContaining('diagnostics/link/test-link')\n );\n });\n });\n\n describe('Helper Functions', () => {\n test('should format setting names for display', () => {\n // Test the internal formatSettingName function\n // Since it's not exposed, we verify it works through setting change tracking\n Proactive.trackSettingChange('delta_rms_threshold', 0.02);\n\n const hint = document.getElementById('setting-change-hint');\n expect(hint).not.toBeNull();\n expect(hint.innerHTML).toContain('Motion Threshold');\n });\n });\n});\n\n// Test helper functions\ndescribe('formatLinkID', () => {\n it('should format MAC address pairs', () => {\n // This would be tested through the module\n // For now, we document the expected format\n const linkID = 'AA:BB:CC:DD:EE:FF:11:22';\n const expected = 'AA:BB:CC:DD → 11:22';\n // The actual function is internal to proactive.js\n });\n});\n\ndescribe('Help Overlay Module', () => {\n let HelpOverlay;\n let mockDocument;\n let mockFetch;\n\n beforeEach(() => {\n mockDocument = {\n createElement: jest.fn((tag) => {\n const el = {\n id: '',\n className: '',\n innerHTML: '',\n style: {},\n appendChild: jest.fn(),\n remove: jest.fn(),\n addEventListener: jest.fn(),\n querySelector: jest.fn(() => null),\n querySelectorAll: jest.fn(() => []),\n focus: jest.fn(),\n };\n if (tag === 'div') el.tagName = 'DIV';\n if (tag === 'input') el.tagName = 'INPUT';\n if (tag === 'button') el.tagName = 'BUTTON';\n if (tag === 'style') el.tagName = 'STYLE';\n return el;\n }),\n body: {\n appendChild: jest.fn(),\n },\n head: {\n appendChild: jest.fn(),\n },\n readyState: 'loading',\n addEventListener: jest.fn(),\n getElementById: jest.fn((id) => {\n if (id === 'help-overlay') {\n return { style: { display: 'none' } };\n }\n return null;\n }),\n };\n\n mockFetch = jest.fn().mockResolvedValue({\n ok: true,\n json: async () => [\n {\n id: 'test-article',\n title: 'Test Article',\n content: 'Test content',\n category: 'Test',\n }\n ]\n });\n\n global.document = mockDocument;\n global.fetch = mockFetch;\n\n jest.resetModules();\n HelpOverlay = require('./help.js');\n });\n\n afterEach(() => {\n jest.clearAllMocks();\n });\n\n describe('Initialization', () => {\n test('should load articles from JSON file', async () => {\n await HelpOverlay.init();\n\n expect(mockFetch).toHaveBeenCalledWith('/help_articles.json');\n });\n\n test('should handle JSON load failure gracefully', async () => {\n mockFetch = jest.fn().mockRejectedValue(new Error('Load failed'));\n\n global.fetch = mockFetch;\n jest.resetModules();\n HelpOverlay = require('./help.js');\n\n await HelpOverlay.init();\n\n // Should use fallback articles\n expect(HelpOverlay).toBeDefined();\n });\n });\n\n describe('Search Functionality', () => {\n test('should filter articles by search query', async () => {\n await HelpOverlay.init();\n HelpOverlay.open();\n\n // Set search input\n const searchInput = mockDocument.getElementById('help-search-input');\n searchInput.value = 'fresnel';\n\n // Trigger search event\n const searchEvent = new Event('input');\n searchInput.dispatchEvent(searchEvent);\n\n // Articles should be filtered\n // (In real scenario, would check articlesList.innerHTML)\n });\n\n test('should support fuzzy matching', () => {\n // Test the internal fuzzyMatch function\n // Since it's not exposed, we verify through search behavior\n });\n });\n\n describe('Category Filtering', () => {\n test('should render category filter buttons', async () => {\n await HelpOverlay.init();\n HelpOverlay.open();\n\n const categories = document.getElementById('help-categories');\n expect(categories).not.toBeNull();\n });\n\n test('should filter articles when category clicked', async () => {\n await HelpOverlay.init();\n HelpOverlay.open();\n\n // Click on a category button\n // (In real scenario, would simulate button click)\n });\n });\n\n describe('UI Interaction', () => {\n test('should open overlay on toggle', async () => {\n await HelpOverlay.init();\n\n HelpOverlay.toggle();\n expect(HelpOverlay.isOpen()).toBe(true);\n\n HelpOverlay.toggle();\n expect(HelpOverlay.isOpen()).toBe(false);\n });\n\n test('should close overlay on escape key', async () => {\n await HelpOverlay.init();\n HelpOverlay.open();\n\n const escapeEvent = new KeyboardEvent('keydown', { key: 'Escape' });\n document.dispatchEvent(escapeEvent);\n\n expect(HelpOverlay.isOpen()).toBe(false);\n });\n });\n});\n\ndescribe('Help Articles JSON', () => {\n let articles;\n\n beforeEach(async () => {\n // Mock fetch to return the articles\n global.fetch = jest.fn().mockResolvedValue({\n ok: true,\n json: async () => {\n const fs = require('fs');\n const path = require('path');\n const jsonPath = path.join(__dirname, '..', 'help_articles.json');\n return JSON.parse(fs.readFileSync(jsonPath, 'utf8'));\n }\n });\n });\n\n test('should have 30+ articles', async () => {\n const response = await fetch('/help_articles.json');\n articles = await response.json();\n\n expect(articles.length).toBeGreaterThanOrEqual(30);\n });\n\n test('should have required article fields', async () => {\n const response = await fetch('/help_articles.json');\n articles = await response.json();\n\n articles.forEach(article => {\n expect(article).toHaveProperty('id');\n expect(article).toHaveProperty('title');\n expect(article).toHaveProperty('content');\n expect(article).toHaveProperty('category');\n });\n });\n\n test('should cover all major categories', async () => {\n const response = await fetch('/help_articles.json');\n articles = await response.json();\n\n const categories = new Set(articles.map(a => a.category));\n const expectedCategories = [\n 'Basics', 'Troubleshooting', 'Setup', 'Features',\n 'Advanced', 'Interface', 'Maintenance', 'Integration'\n ];\n\n expectedCategories.forEach(cat => {\n expect(categories.has(cat)).toBe(true);\n });\n });\n\n test('should have Fresnel zone article', async () => {\n const response = await fetch('/help_articles.json');\n articles = await response.json();\n\n const fresnelArticle = articles.find(a => a.id === 'fresnel-zone');\n expect(fresnelArticle).toBeDefined();\n expect(fresnelArticle.title).toContain('Fresnel');\n });\n\n test('should have detection quality article', async () => {\n const response = await fetch('/help_articles.json');\n articles = await response.json();\n\n const qualityArticle = articles.find(a => a.id === 'detection-quality');\n expect(qualityArticle).toBeDefined();\n expect(qualityArticle.content).toContain('interference');\n });\n\n test('should have help article for predictions', async () => {\n const response = await fetch('/help_articles.json');\n articles = await response.json();\n\n const predictionsArticle = articles.find(a => a.id === 'predictions');\n expect(predictionsArticle).toBeDefined();\n expect(predictionsArticle.content).toContain('7 days');\n });\n});\n","numLines":475,"startLine":1,"totalLines":475}}} +{"type":"user","message":{"role":"user","content":[{"tool_use_id":"call_5e2d8f41d8004533b6de4b97","type":"tool_result","content":"Found 2 files\nmothership/cmd/mothership/main.go\nmothership/internal/api/guided.go"}]},"parent_tool_use_id":null,"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","uuid":"9b163034-9370-4853-92d8-6de151561e3b","timestamp":"2026-05-04T04:08:25.817Z","tool_use_result":{"mode":"files_with_matches","filenames":["mothership/cmd/mothership/main.go","mothership/internal/api/guided.go"],"numFiles":2}} +{"type":"system","subtype":"status","status":"requesting","uuid":"cf59240e-c0cb-4ae8-8cc9-54f4ae6848d3","session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab"} 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GuidedManager is the interface for the guided troubleshooting manager.\n14\ttype GuidedManager interface {\n15\t\tGetZonesWithPoorQuality() []int\n16\t\tMarkQualityBannerShown(zoneID int)\n17\t\tTriggerCalibrationComplete(zoneID int, qualityBefore, qualityAfter float64)\n18\t\tTriggerNodeOffline(mac string, offlineDuration time.Duration)\n19\t\tShouldShowTooltip(featureID string) bool\n20\t\tMarkTooltipShown(featureID string)\n21\t}\n22\t\n23\t// GuidedHandler provides endpoints for proactive contextual help.\n24\ttype GuidedHandler struct {\n25\t\tguidedMgr GuidedManager\n26\t\tzonesHandler any\n27\t\tnodesHandler any\n28\t\tdiagnosticsHandler DiagnosticsHandler\n29\t}\n30\t\n31\t// NewGuidedHandler creates a new guided troubleshooting handler.\n32\tfunc NewGuidedHandler(guidedMgr GuidedManager) *GuidedHandler {\n33\t\treturn &GuidedHandler{\n34\t\t\tguidedMgr: guidedMgr,\n35\t\t}\n36\t}\n37\t\n38\t// SetZonesHandler sets the zones handler for zone information access.\n39\tfunc (h *GuidedHandler) SetZonesHandler(zonesHandler any) {\n40\t\th.zonesHandler = zonesHandler\n41\t}\n42\t\n43\t// SetNodesHandler sets the nodes handler for node information access.\n44\tfunc (h *GuidedHandler) SetNodesHandler(nodesHandler any) {\n45\t\th.nodesHandler = nodesHandler\n46\t}\n47\t\n48\t// RegisterRoutes registers guided troubleshooting endpoints.\n49\tfunc (h *GuidedHandler) RegisterRoutes(r chi.Router) {\n50\t\tr.Get(\"/api/guided/issues\", h.handleGetIssues)\n51\t\tr.Post(\"/api/guided/issues/quality/{zoneId}/dismiss\", h.handleDismissQualityIssue)\n52\t\tr.Post(\"/api/guided/feedback/response\", h.handleGetFeedbackResponse)\n53\t\tr.Post(\"/api/guided/calibration/complete\", h.handleCalibrationComplete)\n54\t\tr.Get(\"/api/guided/node/{mac}/troubleshoot\", h.handleGetNodeTroubleshoot)\n55\t\tr.Get(\"/api/guided/tooltip/{featureId}\", h.handleGetTooltip)\n56\t\tr.Post(\"/api/guided/tooltip/{featureId}/dismiss\", h.handleDismissTooltip)\n57\t\n58\t\t// Link diagnostics API for proactive quality prompts\n59\t\tr.Get(\"/api/diagnostics/link/{linkID}\", h.handleGetLinkDiagnostics)\n60\t}\n61\t\n62\t// DiagnosticsHandler is the interface for accessing diagnostic information.\n63\ttype DiagnosticsHandler interface {\n64\t\tGetDiagnoses(linkID string) []diagnostics.Diagnosis\n65\t\tGetDiagnosticFor(linkID string, timestamp time.Time) *diagnostics.Diagnosis\n66\t}\n67\t\n68\t// SetDiagnosticsHandler sets the diagnostics handler.\n69\tfunc (h *GuidedHandler) SetDiagnosticsHandler(dh DiagnosticsHandler) {\n70\t\th.diagnosticsHandler = dh\n71\t}\n72\t\n73\t// handleGetLinkDiagnostics returns diagnostic information for a specific link.\n74\tfunc (h *GuidedHandler) handleGetLinkDiagnostics(w http.ResponseWriter, r *http.Request) {\n75\t\tlinkID := chi.URLParam(r, \"linkID\")\n76\t\tif linkID == \"\" {\n77\t\t\twriteJSONError(w, http.StatusBadRequest, \"missing link ID\")\n78\t\t\treturn\n79\t\t}\n80\t\n81\t\t// Parse optional timestamp parameter\n82\t\tvar timestamp time.Time\n83\t\ttimestampStr := r.URL.Query().Get(\"timestamp\")\n84\t\tif timestampStr != \"\" {\n85\t\t\tif ts, err := time.Parse(time.RFC3339, timestampStr); err == nil {\n86\t\t\t\ttimestamp = ts\n87\t\t\t} else if ms, err := time.Parse(timestampStr, \"20060102150405\"); err == nil {\n88\t\t\t\ttimestamp = ms\n89\t\t\t}\n90\t\t}\n91\t\n92\t\tvar diagnosis *diagnostics.Diagnosis\n93\t\tvar diagnoses []diagnostics.Diagnosis\n94\t\n95\t\tif h.diagnosticsHandler != nil {\n96\t\t\tif !timestamp.IsZero() {\n97\t\t\t\tdiagnosis = h.diagnosticsHandler.GetDiagnosticFor(linkID, timestamp)\n98\t\t\t}\n99\t\t\tdiagnoses = h.diagnosticsHandler.GetDiagnoses(linkID)\n100\t\t}\n101\t\n102\t\t// Get current link health info\n103\t\thealth := h.getCurrentLinkHealth(linkID)\n104\t\n105\t\tresponse := map[string]interface{}{\n106\t\t\t\"link_id\": linkID,\n107\t\t\t\"diagnosis\": diagnosis,\n108\t\t\t\"diagnoses\": diagnoses,\n109\t\t\t\"health\": health,\n110\t\t}\n111\t\n112\t\twriteJSON(w, http.StatusOK, response)\n113\t}\n114\t\n115\t// getCurrentLinkHealth returns the current health snapshot for a link\n116\tfunc (h *GuidedHandler) getCurrentLinkHealth(linkID string) map[string]interface{} {\n117\t\t// Try to get current health from the link weather diagnostics\n118\t\tif h.diagnosticsHandler == nil {\n119\t\t\treturn nil\n120\t\t}\n121\t\n122\t\t// Get diagnoses and extract the most recent diagnosis with actionable info\n123\t\tdiagnoses := h.diagnosticsHandler.GetDiagnoses(linkID)\n124\t\tif len(diagnoses) == 0 {\n125\t\t\treturn map[string]interface{}{\n126\t\t\t\t\"message\": \"No diagnostic data available yet. Link needs more observation time.\",\n127\t\t\t}\n128\t\t}\n129\t\n130\t\t// Get the most recent diagnosis\n131\t\tmostRecent := diagnoses[0]\n132\t\n133\t\t// Build health map with current metrics\n134\t\thealth := map[string]interface{}{\n135\t\t\t\"packet_rate\": 20.0, // Default expected rate\n136\t\t\t\"snr\": 0.5, // Default SNR\n137\t\t\t\"phase_stability\": 0.5, // Default stability\n138\t\t\t\"drift_rate\": 0.0, // No drift\n139\t\t\t\"composite_score\": mostRecent.ConfidenceScore,\n140\t\t}\n141\t\n142\t\t// If the diagnosis has specific rule info, we can infer health metrics\n143\t\tswitch mostRecent.RuleID {\n144\t\tcase \"wifi_congestion_distance\":\n145\t\t\thealth[\"packet_rate\"] = 12.0 // Low packet rate\n146\t\t\thealth[\"composite_score\"] = 0.5\n147\t\tcase \"metal_interference\":\n148\t\t\thealth[\"phase_stability\"] = 0.7 // High instability\n149\t\t\thealth[\"composite_score\"] = 0.4\n150\t\tcase \"environmental_change\":\n151\t\t\thealth[\"drift_rate\"] = 0.06 // High drift\n152\t\t\thealth[\"composite_score\"] = 0.6\n153\t\tcase \"fresnel_blockage\", \"fresnel_blockage_heuristic\":\n154\t\t\thealth[\"composite_score\"] = 0.5\n155\t\tcase \"periodic_interference\":\n156\t\t\thealth[\"phase_stability\"] = 0.6\n157\t\t\thealth[\"composite_score\"] = 0.55\n158\t\t}\n159\t\n160\t\t// Add explanation text\n161\t\tif mostRecent.Detail != \"\" {\n162\t\t\thealth[\"explanation\"] = mostRecent.Detail\n163\t\t}\n164\t\tif mostRecent.Advice != \"\" {\n165\t\t\thealth[\"advice\"] = mostRecent.Advice\n166\t\t}\n167\t\n168\t\treturn health\n169\t}\n170\t\n171\t// handleGetIssues returns all active guided troubleshooting issues.\n172\tfunc (h *GuidedHandler) handleGetIssues(w http.ResponseWriter, r *http.Request) {\n173\t\tif h.guidedMgr == nil {\n174\t\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"issues\": []interface{}{}})\n175\t\t\treturn\n176\t\t}\n177\t\n178\t\tvar issues []map[string]interface{}\n179\t\n180\t\t// Quality issues\n181\t\tpoorZones := h.guidedMgr.GetZonesWithPoorQuality()\n182\t\tfor _, zoneID := range poorZones {\n183\t\t\tzoneName := \"Unknown Zone\"\n184\t\t\tzoneQuality := 0.0\n185\t\n186\t\t\tif h.zonesHandler != nil {\n187\t\t\t\tif zone, err := h.getZoneByID(zoneID); err == nil {\n188\t\t\t\t\tzoneName = zone[\"name\"].(string)\n189\t\t\t\t\tif q, ok := zone[\"quality\"].(float64); ok {\n190\t\t\t\t\t\tzoneQuality = q\n191\t\t\t\t\t}\n192\t\t\t\t}\n193\t\t\t}\n194\t\n195\t\t\tissues = append(issues, map[string]interface{}{\n196\t\t\t\t\"type\": \"quality_drop\",\n197\t\t\t\t\"zone_id\": zoneID,\n198\t\t\t\t\"zone_name\": zoneName,\n199\t\t\t\t\"quality\": zoneQuality,\n200\t\t\t\t\"severity\": \"warning\",\n201\t\t\t\t\"title\": \"Detection quality has degraded in \" + zoneName,\n202\t\t\t\t\"description\": \"Detection quality in \" + zoneName + \" has been below 60% for over 24 hours. This may indicate node placement issues or environmental changes.\",\n203\t\t\t\t\"actions\": []map[string]string{\n204\t\t\t\t\t{\"label\": \"Check node connectivity\", \"action\": \"connectivity\"},\n205\t\t\t\t\t{\"label\": \"View link health\", \"action\": \"link_health\"},\n206\t\t\t\t\t{\"label\": \"Re-baseline links\", \"action\": \"rebaseline\"},\n207\t\t\t\t\t{\"label\": \"Run guided diagnostics\", \"action\": \"diagnostics\"},\n208\t\t\t\t},\n209\t\t\t})\n210\t\t}\n211\t\n212\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"issues\": issues})\n213\t}\n214\t\n215\t// handleDismissQualityIssue dismisses a quality banner for a zone.\n216\tfunc (h *GuidedHandler) handleDismissQualityIssue(w http.ResponseWriter, r *http.Request) {\n217\t\tzoneID := chi.URLParam(r, \"zoneId\")\n218\t\tvar zoneIDInt int\n219\t\tif err := json.Unmarshal([]byte(zoneID), &zoneIDInt); err != nil {\n220\t\t\twriteJSONError(w, http.StatusBadRequest, \"invalid zone ID\")\n221\t\t\treturn\n222\t\t}\n223\t\n224\t\tif h.guidedMgr != nil {\n225\t\t\th.guidedMgr.MarkQualityBannerShown(zoneIDInt)\n226\t\t}\n227\t\n228\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"ok\": true})\n229\t}\n230\t\n231\t// handleGetFeedbackResponse returns the inline response message for a feedback submission.\n232\tfunc (h *GuidedHandler) handleGetFeedbackResponse(w http.ResponseWriter, r *http.Request) {\n233\t\tvar req struct {\n234\t\t\tFeedbackType string `json:\"feedback_type\"` // \"incorrect\" or \"correct\"\n235\t\t\tLinks []struct {\n236\t\t\t\tLinkID string `json:\"link_id\"`\n237\t\t\t\tDeltaRMS float64 `json:\"delta_rms\"`\n238\t\t\t} `json:\"links,omitempty\"`\n239\t\t\tZoneID *int `json:\"zone_id,omitempty\"`\n240\t\t}\n241\t\n242\t\tif err := json.NewDecoder(r.Body).Decode(&req); err != nil {\n243\t\t\twriteJSONError(w, http.StatusBadRequest, \"invalid request body\")\n244\t\t\treturn\n245\t\t}\n246\t\n247\t\tvar response map[string]interface{}\n248\t\n249\t\tswitch req.FeedbackType {\n250\t\tcase \"incorrect\":\n251\t\t\tresponse = map[string]interface{}{\n252\t\t\t\t\"type\": \"adjustment\",\n253\t\t\t\t\"title\": \"Adjusting detection threshold\",\n254\t\t\t\t\"message\": \"I've slightly raised the detection threshold for the contributing links. If this keeps happening at this time of day, my hourly baseline will adapt within a few days. You can also adjust sensitivity manually in Settings.\",\n255\t\t\t\t\"actions\": []map[string]string{\n256\t\t\t\t\t{\"label\": \"Open Settings\", \"action\": \"open_settings\"},\n257\t\t\t\t\t{\"label\": \"View Link Details\", \"action\": \"view_links\"},\n258\t\t\t\t},\n259\t\t\t}\n260\t\n261\t\tcase \"correct\":\n262\t\t\tresponse = map[string]interface{}{\n263\t\t\t\t\"type\": \"confirmation\",\n264\t\t\t\t\"title\": \"Detection confirmed\",\n265\t\t\t\t\"message\": \"Thanks for confirming! This helps improve detection accuracy over time.\",\n266\t\t\t}\n267\t\n268\t\tdefault:\n269\t\t\tresponse = map[string]interface{}{\n270\t\t\t\t\"type\": \"info\",\n271\t\t\t\t\"message\": \"Feedback recorded\",\n272\t\t\t}\n273\t\t}\n274\t\n275\t\twriteJSON(w, http.StatusOK, response)\n276\t}\n277\t\n278\t// handleCalibrationComplete reports calibration completion and triggers reinforcement.\n279\tfunc (h *GuidedHandler) handleCalibrationComplete(w http.ResponseWriter, r *http.Request) {\n280\t\tvar req struct {\n281\t\t\tZoneID int `json:\"zone_id\"`\n282\t\t\tQualityBefore float64 `json:\"quality_before\"`\n283\t\t\tQualityAfter float64 `json:\"quality_after\"`\n284\t\t\tLinksCalibrated int `json:\"links_calibrated\"`\n285\t\t}\n286\t\n287\t\tif err := json.NewDecoder(r.Body).Decode(&req); err != nil {\n288\t\t\twriteJSONError(w, http.StatusBadRequest, \"invalid request body\")\n289\t\t\treturn\n290\t\t}\n291\t\n292\t\tif h.guidedMgr != nil {\n293\t\t\th.guidedMgr.TriggerCalibrationComplete(req.ZoneID, req.QualityBefore, req.QualityAfter)\n294\t\t}\n295\t\n296\t\t// Calculate improvement\n297\t\timprovement := req.QualityAfter - req.QualityBefore\n298\t\timprovementPct := int(improvement)\n299\t\n300\t\tresponse := map[string]interface{}{\n301\t\t\t\"type\": \"calibration_complete\",\n302\t\t\t\"title\": \"Re-baseline complete\",\n303\t\t\t\"message\": \"Detection quality in this zone has improved.\",\n304\t\t\t\"improvement\": improvementPct,\n305\t\t\t\"quality_after\": req.QualityAfter,\n306\t\t\t\"links\": req.LinksCalibrated,\n307\t\t}\n308\t\n309\t\t// Add encouraging message based on improvement\n310\t\tif improvement > 20 {\n311\t\t\tresponse[\"encouragement\"] = \"Excellent! That's a significant improvement.\"\n312\t\t} else if improvement > 10 {\n313\t\t\tresponse[\"encouragement\"] = \"Great progress! Detection is much more reliable now.\"\n314\t\t} else if improvement > 0 {\n315\t\t\tresponse[\"encouragement\"] = \"Getting better. The system will continue to refine baseline over time.\"\n316\t\t} else {\n317\t\t\tresponse[\"encouragement\"] = \"Baseline has been updated. The system needs more data to adapt to this environment.\"\n318\t\t}\n319\t\n320\t\twriteJSON(w, http.StatusOK, response)\n321\t}\n322\t\n323\t// handleGetNodeTroubleshoot returns troubleshooting steps for an offline node.\n324\tfunc (h *GuidedHandler) handleGetNodeTroubleshoot(w http.ResponseWriter, r *http.Request) {\n325\t\tmac := chi.URLParam(r, \"mac\")\n326\t\n327\t\t// Get node info\n328\t\tvar nodeName, nodeRole string\n329\t\tvar offlineDuration float64\n330\t\n331\t\tif h.nodesHandler != nil {\n332\t\t\tnodes, err := h.nodesHandler.(interface {\n333\t\t\t\tGetAllNodes() ([]map[string]interface{}, error)\n334\t\t\t}).GetAllNodes()\n335\t\t\tif err == nil {\n336\t\t\t\tfor _, node := range nodes {\n337\t\t\t\t\tif nodeMAC, ok := node[\"mac\"].(string); ok && nodeMAC == mac {\n338\t\t\t\t\t\tnodeName = node[\"name\"].(string)\n339\t\t\t\t\t\tnodeRole = node[\"role\"].(string)\n340\t\t\t\t\t\t// Calculate offline duration from last_seen_ms\n341\t\t\t\t\t\tif lastSeenMs, ok := node[\"last_seen_ms\"].(int64); ok {\n342\t\t\t\t\t\t\t// Calculate approximate duration\n343\t\t\t\t\t\t\tofflineDuration = float64(time.Now().UnixMilli()-lastSeenMs) / 1000 / 60 // in minutes\n344\t\t\t\t\t\t}\n345\t\t\t\t\t\tbreak\n346\t\t\t\t\t}\n347\t\t\t\t}\n348\t\t\t}\n349\t\t}\n350\t\n351\t\t// Create troubleshooting steps\n352\t\tsteps := []map[string]interface{}{\n353\t\t\t{\n354\t\t\t\t\"step\": 1,\n355\t\t\t\t\"title\": \"Check power connection\",\n356\t\t\t\t\"description\": \"Verify the node's USB cable is securely connected and the power LED is on (solid green = connected, blinking = attempting WiFi).\",\n357\t\t\t\t\"actions\": []string{\"Visually inspect the node\", \"Check the USB cable connection\"},\n358\t\t\t},\n359\t\t\t{\n360\t\t\t\t\"step\": 2,\n361\t\t\t\t\"title\": \"Check WiFi connectivity\",\n362\t\t\t\t\"description\": \"If the LED is blinking, the node is having trouble connecting to WiFi. Try moving it closer to your WiFi router.\",\n363\t\t\t\t\"actions\": []string{\"Move node closer to router\", \"Check WiFi is working\"},\n364\t\t\t},\n365\t\t\t{\n366\t\t\t\t\"step\": 3,\n367\t\t\t\t\"title\": \"Check for captive portal\",\n368\t\t\t\t\"description\": \"If the LED blinks rapidly after 5 minutes, the node has lost its WiFi configuration. Look for a WiFi network named 'spaxel-\" + mac[len(mac)-4:] + \"' and connect to reconfigure.\",\n369\t\t\t\t\"actions\": []string{\"Connect to spaxel-XXXX WiFi\", \"Re-enter WiFi credentials\"},\n370\t\t\t},\n371\t\t\t{\n372\t\t\t\t\"step\": 4,\n373\t\t\t\t\"title\": \"Check hardware\",\n374\t\t\t\t\"description\": \"If the LED is off, check the power supply and try a different USB cable or port.\",\n375\t\t\t\t\"actions\": []string{\"Try different USB cable\", \"Try different power source\"},\n376\t\t\t},\n377\t\t}\n378\t\n379\t\tresponse := map[string]interface{}{\n380\t\t\t\"mac\": mac,\n381\t\t\t\"name\": nodeName,\n382\t\t\t\"role\": nodeRole,\n383\t\t\t\"offline_minutes\": int(offlineDuration),\n384\t\t\t\"troubleshooting\": steps,\n385\t\t\t\"escalation\": \"If the issue persists after these steps, you may need to reflash the firmware or reset the node to factory defaults.\",\n386\t\t}\n387\t\n388\t\twriteJSON(w, http.StatusOK, response)\n389\t}\n390\t\n391\t// getZoneByID is a helper to get zone information by ID.\n392\tfunc (h *GuidedHandler) getZoneByID(id int) (map[string]interface{}, error) {\n393\t\tif h.zonesHandler == nil {\n394\t\t\treturn nil, ErrZoneNotFound\n395\t\t}\n396\t\n397\t\t// Try to get specific zone first\n398\t\ttype zoneGetter interface {\n399\t\t\tGetZone(id int) (map[string]interface{}, error)\n400\t\t}\n401\t\n402\t\tif zg, ok := h.zonesHandler.(zoneGetter); ok {\n403\t\t\tzone, err := zg.GetZone(id)\n404\t\t\tif err == nil {\n405\t\t\t\treturn zone, nil\n406\t\t\t}\n407\t\t}\n408\t\n409\t\t// Fall back to getting all zones\n410\t\ttype allZonesGetter interface {\n411\t\t\tGetAllZones() ([]map[string]interface{}, error)\n412\t\t}\n413\t\n414\t\tif azg, ok := h.zonesHandler.(allZonesGetter); ok {\n415\t\t\tzones, err := azg.GetAllZones()\n416\t\t\tif err != nil {\n417\t\t\t\treturn nil, err\n418\t\t\t}\n419\t\n420\t\t\tfor _, zone := range zones {\n421\t\t\t\tif zoneID, ok := zone[\"id\"].(int); ok && zoneID == id {\n422\t\t\t\t\treturn zone, nil\n423\t\t\t\t}\n424\t\t\t\tif zoneID, ok := zone[\"id\"].(float64); ok && int(zoneID) == id {\n425\t\t\t\t\treturn zone, nil\n426\t\t\t\t}\n427\t\t\t}\n428\t\t}\n429\t\n430\t\treturn nil, ErrZoneNotFound\n431\t}\n432\t\n433\t// ErrZoneNotFound is returned when a zone cannot be found.\n434\tvar ErrZoneNotFound = &HTTPError{StatusCode: 404, Message: \"zone not found\"}\n435\t\n436\t// HTTPError represents an HTTP error with a status code and message.\n437\ttype HTTPError struct {\n438\t\tStatusCode int\n439\t\tMessage string\n440\t}\n441\t\n442\tfunc (e *HTTPError) Error() string {\n443\t\treturn e.Message\n444\t}\n445\t\n446\t// handleGetTooltip returns the tooltip for a feature if it should be shown.\n447\tfunc (h *GuidedHandler) handleGetTooltip(w http.ResponseWriter, r *http.Request) {\n448\t\tif h.guidedMgr == nil {\n449\t\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"show\": false})\n450\t\t\treturn\n451\t\t}\n452\t\n453\t\tfeatureID := chi.URLParam(r, \"featureId\")\n454\t\tif featureID == \"\" {\n455\t\t\twriteJSONError(w, http.StatusBadRequest, \"missing feature ID\")\n456\t\t\treturn\n457\t\t}\n458\t\n459\t\tshouldShow := h.guidedMgr.ShouldShowTooltip(featureID)\n460\t\tif !shouldShow {\n461\t\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"show\": false})\n462\t\t\treturn\n463\t\t}\n464\t\n465\t\t// GetTooltip returns package-specific Tooltip types; use GetTooltipAny for cross-package access.\n466\t\ttype tooltipGetterAny interface {\n467\t\t\tGetTooltipAny(featureID string) (title, description, direction string, ok bool)\n468\t\t}\n469\t\tvar title, description, direction string\n470\t\tfound := false\n471\t\tif tg, ok := h.guidedMgr.(tooltipGetterAny); ok {\n472\t\t\ttitle, description, direction, found = tg.GetTooltipAny(featureID)\n473\t\t}\n474\t\tif !found {\n475\t\t\twriteJSON(w, http.StatusNotFound, map[string]string{\"error\": \"tooltip not found\"})\n476\t\t\treturn\n477\t\t}\n478\t\n479\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\n480\t\t\t\"show\": true,\n481\t\t\t\"title\": title,\n482\t\t\t\"description\": description,\n483\t\t\t\"direction\": direction,\n484\t\t})\n485\t}\n486\t\n487\t// handleDismissTooltip marks a tooltip as shown (dismissed).\n488\tfunc (h *GuidedHandler) handleDismissTooltip(w http.ResponseWriter, r *http.Request) {\n489\t\tif h.guidedMgr == nil {\n490\t\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"ok\": true})\n491\t\t\treturn\n492\t\t}\n493\t\n494\t\tfeatureID := chi.URLParam(r, \"featureId\")\n495\t\tif featureID == \"\" {\n496\t\t\twriteJSONError(w, http.StatusBadRequest, \"missing feature ID\")\n497\t\t\treturn\n498\t\t}\n499\t\n500\t\th.guidedMgr.MarkTooltipShown(featureID)\n501\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"ok\": true})\n502\t}\n503\t"}]},"parent_tool_use_id":null,"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","uuid":"672cd334-6dae-4968-a0a9-07140be3b46c","timestamp":"2026-05-04T04:08:37.940Z","tool_use_result":{"type":"text","file":{"filePath":"/home/coding/spaxel/mothership/internal/api/guided.go","content":"// Package api provides REST API handlers for Spaxel guided troubleshooting.\npackage api\n\nimport (\n\t\"encoding/json\"\n\t\"net/http\"\n\t\"time\"\n\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/spaxel/mothership/internal/diagnostics\"\n)\n\n// GuidedManager is the interface for the guided troubleshooting manager.\ntype GuidedManager interface {\n\tGetZonesWithPoorQuality() []int\n\tMarkQualityBannerShown(zoneID int)\n\tTriggerCalibrationComplete(zoneID int, qualityBefore, qualityAfter float64)\n\tTriggerNodeOffline(mac string, offlineDuration time.Duration)\n\tShouldShowTooltip(featureID string) bool\n\tMarkTooltipShown(featureID string)\n}\n\n// GuidedHandler provides endpoints for proactive contextual help.\ntype GuidedHandler struct {\n\tguidedMgr GuidedManager\n\tzonesHandler any\n\tnodesHandler any\n\tdiagnosticsHandler DiagnosticsHandler\n}\n\n// NewGuidedHandler creates a new guided troubleshooting handler.\nfunc NewGuidedHandler(guidedMgr GuidedManager) *GuidedHandler {\n\treturn &GuidedHandler{\n\t\tguidedMgr: guidedMgr,\n\t}\n}\n\n// SetZonesHandler sets the zones handler for zone information access.\nfunc (h *GuidedHandler) SetZonesHandler(zonesHandler any) {\n\th.zonesHandler = zonesHandler\n}\n\n// SetNodesHandler sets the nodes handler for node information access.\nfunc (h *GuidedHandler) SetNodesHandler(nodesHandler any) {\n\th.nodesHandler = nodesHandler\n}\n\n// RegisterRoutes registers guided troubleshooting endpoints.\nfunc (h *GuidedHandler) RegisterRoutes(r chi.Router) {\n\tr.Get(\"/api/guided/issues\", h.handleGetIssues)\n\tr.Post(\"/api/guided/issues/quality/{zoneId}/dismiss\", h.handleDismissQualityIssue)\n\tr.Post(\"/api/guided/feedback/response\", h.handleGetFeedbackResponse)\n\tr.Post(\"/api/guided/calibration/complete\", h.handleCalibrationComplete)\n\tr.Get(\"/api/guided/node/{mac}/troubleshoot\", h.handleGetNodeTroubleshoot)\n\tr.Get(\"/api/guided/tooltip/{featureId}\", h.handleGetTooltip)\n\tr.Post(\"/api/guided/tooltip/{featureId}/dismiss\", h.handleDismissTooltip)\n\n\t// Link diagnostics API for proactive quality prompts\n\tr.Get(\"/api/diagnostics/link/{linkID}\", h.handleGetLinkDiagnostics)\n}\n\n// DiagnosticsHandler is the interface for accessing diagnostic information.\ntype DiagnosticsHandler interface {\n\tGetDiagnoses(linkID string) []diagnostics.Diagnosis\n\tGetDiagnosticFor(linkID string, timestamp time.Time) *diagnostics.Diagnosis\n}\n\n// SetDiagnosticsHandler sets the diagnostics handler.\nfunc (h *GuidedHandler) SetDiagnosticsHandler(dh DiagnosticsHandler) {\n\th.diagnosticsHandler = dh\n}\n\n// handleGetLinkDiagnostics returns diagnostic information for a specific link.\nfunc (h *GuidedHandler) handleGetLinkDiagnostics(w http.ResponseWriter, r *http.Request) {\n\tlinkID := chi.URLParam(r, \"linkID\")\n\tif linkID == \"\" {\n\t\twriteJSONError(w, http.StatusBadRequest, \"missing link ID\")\n\t\treturn\n\t}\n\n\t// Parse optional timestamp parameter\n\tvar timestamp time.Time\n\ttimestampStr := r.URL.Query().Get(\"timestamp\")\n\tif timestampStr != \"\" {\n\t\tif ts, err := time.Parse(time.RFC3339, timestampStr); err == nil {\n\t\t\ttimestamp = ts\n\t\t} else if ms, err := time.Parse(timestampStr, \"20060102150405\"); err == nil {\n\t\t\ttimestamp = ms\n\t\t}\n\t}\n\n\tvar diagnosis *diagnostics.Diagnosis\n\tvar diagnoses []diagnostics.Diagnosis\n\n\tif h.diagnosticsHandler != nil {\n\t\tif !timestamp.IsZero() {\n\t\t\tdiagnosis = h.diagnosticsHandler.GetDiagnosticFor(linkID, timestamp)\n\t\t}\n\t\tdiagnoses = h.diagnosticsHandler.GetDiagnoses(linkID)\n\t}\n\n\t// Get current link health info\n\thealth := h.getCurrentLinkHealth(linkID)\n\n\tresponse := map[string]interface{}{\n\t\t\"link_id\": linkID,\n\t\t\"diagnosis\": diagnosis,\n\t\t\"diagnoses\": diagnoses,\n\t\t\"health\": health,\n\t}\n\n\twriteJSON(w, http.StatusOK, response)\n}\n\n// getCurrentLinkHealth returns the current health snapshot for a link\nfunc (h *GuidedHandler) getCurrentLinkHealth(linkID string) map[string]interface{} {\n\t// Try to get current health from the link weather diagnostics\n\tif h.diagnosticsHandler == nil {\n\t\treturn nil\n\t}\n\n\t// Get diagnoses and extract the most recent diagnosis with actionable info\n\tdiagnoses := h.diagnosticsHandler.GetDiagnoses(linkID)\n\tif len(diagnoses) == 0 {\n\t\treturn map[string]interface{}{\n\t\t\t\"message\": \"No diagnostic data available yet. Link needs more observation time.\",\n\t\t}\n\t}\n\n\t// Get the most recent diagnosis\n\tmostRecent := diagnoses[0]\n\n\t// Build health map with current metrics\n\thealth := map[string]interface{}{\n\t\t\"packet_rate\": 20.0, // Default expected rate\n\t\t\"snr\": 0.5, // Default SNR\n\t\t\"phase_stability\": 0.5, // Default stability\n\t\t\"drift_rate\": 0.0, // No drift\n\t\t\"composite_score\": mostRecent.ConfidenceScore,\n\t}\n\n\t// If the diagnosis has specific rule info, we can infer health metrics\n\tswitch mostRecent.RuleID {\n\tcase \"wifi_congestion_distance\":\n\t\thealth[\"packet_rate\"] = 12.0 // Low packet rate\n\t\thealth[\"composite_score\"] = 0.5\n\tcase \"metal_interference\":\n\t\thealth[\"phase_stability\"] = 0.7 // High instability\n\t\thealth[\"composite_score\"] = 0.4\n\tcase \"environmental_change\":\n\t\thealth[\"drift_rate\"] = 0.06 // High drift\n\t\thealth[\"composite_score\"] = 0.6\n\tcase \"fresnel_blockage\", \"fresnel_blockage_heuristic\":\n\t\thealth[\"composite_score\"] = 0.5\n\tcase \"periodic_interference\":\n\t\thealth[\"phase_stability\"] = 0.6\n\t\thealth[\"composite_score\"] = 0.55\n\t}\n\n\t// Add explanation text\n\tif mostRecent.Detail != \"\" {\n\t\thealth[\"explanation\"] = mostRecent.Detail\n\t}\n\tif mostRecent.Advice != \"\" {\n\t\thealth[\"advice\"] = mostRecent.Advice\n\t}\n\n\treturn health\n}\n\n// handleGetIssues returns all active guided troubleshooting issues.\nfunc (h *GuidedHandler) handleGetIssues(w http.ResponseWriter, r *http.Request) {\n\tif h.guidedMgr == nil {\n\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"issues\": []interface{}{}})\n\t\treturn\n\t}\n\n\tvar issues []map[string]interface{}\n\n\t// Quality issues\n\tpoorZones := h.guidedMgr.GetZonesWithPoorQuality()\n\tfor _, zoneID := range poorZones {\n\t\tzoneName := \"Unknown Zone\"\n\t\tzoneQuality := 0.0\n\n\t\tif h.zonesHandler != nil {\n\t\t\tif zone, err := h.getZoneByID(zoneID); err == nil {\n\t\t\t\tzoneName = zone[\"name\"].(string)\n\t\t\t\tif q, ok := zone[\"quality\"].(float64); ok {\n\t\t\t\t\tzoneQuality = q\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tissues = append(issues, map[string]interface{}{\n\t\t\t\"type\": \"quality_drop\",\n\t\t\t\"zone_id\": zoneID,\n\t\t\t\"zone_name\": zoneName,\n\t\t\t\"quality\": zoneQuality,\n\t\t\t\"severity\": \"warning\",\n\t\t\t\"title\": \"Detection quality has degraded in \" + zoneName,\n\t\t\t\"description\": \"Detection quality in \" + zoneName + \" has been below 60% for over 24 hours. This may indicate node placement issues or environmental changes.\",\n\t\t\t\"actions\": []map[string]string{\n\t\t\t\t{\"label\": \"Check node connectivity\", \"action\": \"connectivity\"},\n\t\t\t\t{\"label\": \"View link health\", \"action\": \"link_health\"},\n\t\t\t\t{\"label\": \"Re-baseline links\", \"action\": \"rebaseline\"},\n\t\t\t\t{\"label\": \"Run guided diagnostics\", \"action\": \"diagnostics\"},\n\t\t\t},\n\t\t})\n\t}\n\n\twriteJSON(w, http.StatusOK, map[string]interface{}{\"issues\": issues})\n}\n\n// handleDismissQualityIssue dismisses a quality banner for a zone.\nfunc (h *GuidedHandler) handleDismissQualityIssue(w http.ResponseWriter, r *http.Request) {\n\tzoneID := chi.URLParam(r, \"zoneId\")\n\tvar zoneIDInt int\n\tif err := json.Unmarshal([]byte(zoneID), &zoneIDInt); err != nil {\n\t\twriteJSONError(w, http.StatusBadRequest, \"invalid zone ID\")\n\t\treturn\n\t}\n\n\tif h.guidedMgr != nil {\n\t\th.guidedMgr.MarkQualityBannerShown(zoneIDInt)\n\t}\n\n\twriteJSON(w, http.StatusOK, map[string]interface{}{\"ok\": true})\n}\n\n// handleGetFeedbackResponse returns the inline response message for a feedback submission.\nfunc (h *GuidedHandler) handleGetFeedbackResponse(w http.ResponseWriter, r *http.Request) {\n\tvar req struct {\n\t\tFeedbackType string `json:\"feedback_type\"` // \"incorrect\" or \"correct\"\n\t\tLinks []struct {\n\t\t\tLinkID string `json:\"link_id\"`\n\t\t\tDeltaRMS float64 `json:\"delta_rms\"`\n\t\t} `json:\"links,omitempty\"`\n\t\tZoneID *int `json:\"zone_id,omitempty\"`\n\t}\n\n\tif err := json.NewDecoder(r.Body).Decode(&req); err != nil {\n\t\twriteJSONError(w, http.StatusBadRequest, \"invalid request body\")\n\t\treturn\n\t}\n\n\tvar response map[string]interface{}\n\n\tswitch req.FeedbackType {\n\tcase \"incorrect\":\n\t\tresponse = map[string]interface{}{\n\t\t\t\"type\": \"adjustment\",\n\t\t\t\"title\": \"Adjusting detection threshold\",\n\t\t\t\"message\": \"I've slightly raised the detection threshold for the contributing links. If this keeps happening at this time of day, my hourly baseline will adapt within a few days. You can also adjust sensitivity manually in Settings.\",\n\t\t\t\"actions\": []map[string]string{\n\t\t\t\t{\"label\": \"Open Settings\", \"action\": \"open_settings\"},\n\t\t\t\t{\"label\": \"View Link Details\", \"action\": \"view_links\"},\n\t\t\t},\n\t\t}\n\n\tcase \"correct\":\n\t\tresponse = map[string]interface{}{\n\t\t\t\"type\": \"confirmation\",\n\t\t\t\"title\": \"Detection confirmed\",\n\t\t\t\"message\": \"Thanks for confirming! This helps improve detection accuracy over time.\",\n\t\t}\n\n\tdefault:\n\t\tresponse = map[string]interface{}{\n\t\t\t\"type\": \"info\",\n\t\t\t\"message\": \"Feedback recorded\",\n\t\t}\n\t}\n\n\twriteJSON(w, http.StatusOK, response)\n}\n\n// handleCalibrationComplete reports calibration completion and triggers reinforcement.\nfunc (h *GuidedHandler) handleCalibrationComplete(w http.ResponseWriter, r *http.Request) {\n\tvar req struct {\n\t\tZoneID int `json:\"zone_id\"`\n\t\tQualityBefore float64 `json:\"quality_before\"`\n\t\tQualityAfter float64 `json:\"quality_after\"`\n\t\tLinksCalibrated int `json:\"links_calibrated\"`\n\t}\n\n\tif err := json.NewDecoder(r.Body).Decode(&req); err != nil {\n\t\twriteJSONError(w, http.StatusBadRequest, \"invalid request body\")\n\t\treturn\n\t}\n\n\tif h.guidedMgr != nil {\n\t\th.guidedMgr.TriggerCalibrationComplete(req.ZoneID, req.QualityBefore, req.QualityAfter)\n\t}\n\n\t// Calculate improvement\n\timprovement := req.QualityAfter - req.QualityBefore\n\timprovementPct := int(improvement)\n\n\tresponse := map[string]interface{}{\n\t\t\"type\": \"calibration_complete\",\n\t\t\"title\": \"Re-baseline complete\",\n\t\t\"message\": \"Detection quality in this zone has improved.\",\n\t\t\"improvement\": improvementPct,\n\t\t\"quality_after\": req.QualityAfter,\n\t\t\"links\": req.LinksCalibrated,\n\t}\n\n\t// Add encouraging message based on improvement\n\tif improvement > 20 {\n\t\tresponse[\"encouragement\"] = \"Excellent! That's a significant improvement.\"\n\t} else if improvement > 10 {\n\t\tresponse[\"encouragement\"] = \"Great progress! Detection is much more reliable now.\"\n\t} else if improvement > 0 {\n\t\tresponse[\"encouragement\"] = \"Getting better. The system will continue to refine baseline over time.\"\n\t} else {\n\t\tresponse[\"encouragement\"] = \"Baseline has been updated. The system needs more data to adapt to this environment.\"\n\t}\n\n\twriteJSON(w, http.StatusOK, response)\n}\n\n// handleGetNodeTroubleshoot returns troubleshooting steps for an offline node.\nfunc (h *GuidedHandler) handleGetNodeTroubleshoot(w http.ResponseWriter, r *http.Request) {\n\tmac := chi.URLParam(r, \"mac\")\n\n\t// Get node info\n\tvar nodeName, nodeRole string\n\tvar offlineDuration float64\n\n\tif h.nodesHandler != nil {\n\t\tnodes, err := h.nodesHandler.(interface {\n\t\t\tGetAllNodes() ([]map[string]interface{}, error)\n\t\t}).GetAllNodes()\n\t\tif err == nil {\n\t\t\tfor _, node := range nodes {\n\t\t\t\tif nodeMAC, ok := node[\"mac\"].(string); ok && nodeMAC == mac {\n\t\t\t\t\tnodeName = node[\"name\"].(string)\n\t\t\t\t\tnodeRole = node[\"role\"].(string)\n\t\t\t\t\t// Calculate offline duration from last_seen_ms\n\t\t\t\t\tif lastSeenMs, ok := node[\"last_seen_ms\"].(int64); ok {\n\t\t\t\t\t\t// Calculate approximate duration\n\t\t\t\t\t\tofflineDuration = float64(time.Now().UnixMilli()-lastSeenMs) / 1000 / 60 // in minutes\n\t\t\t\t\t}\n\t\t\t\t\tbreak\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Create troubleshooting steps\n\tsteps := []map[string]interface{}{\n\t\t{\n\t\t\t\"step\": 1,\n\t\t\t\"title\": \"Check power connection\",\n\t\t\t\"description\": \"Verify the node's USB cable is securely connected and the power LED is on (solid green = connected, blinking = attempting WiFi).\",\n\t\t\t\"actions\": []string{\"Visually inspect the node\", \"Check the USB cable connection\"},\n\t\t},\n\t\t{\n\t\t\t\"step\": 2,\n\t\t\t\"title\": \"Check WiFi connectivity\",\n\t\t\t\"description\": \"If the LED is blinking, the node is having trouble connecting to WiFi. Try moving it closer to your WiFi router.\",\n\t\t\t\"actions\": []string{\"Move node closer to router\", \"Check WiFi is working\"},\n\t\t},\n\t\t{\n\t\t\t\"step\": 3,\n\t\t\t\"title\": \"Check for captive portal\",\n\t\t\t\"description\": \"If the LED blinks rapidly after 5 minutes, the node has lost its WiFi configuration. Look for a WiFi network named 'spaxel-\" + mac[len(mac)-4:] + \"' and connect to reconfigure.\",\n\t\t\t\"actions\": []string{\"Connect to spaxel-XXXX WiFi\", \"Re-enter WiFi credentials\"},\n\t\t},\n\t\t{\n\t\t\t\"step\": 4,\n\t\t\t\"title\": \"Check hardware\",\n\t\t\t\"description\": \"If the LED is off, check the power supply and try a different USB cable or port.\",\n\t\t\t\"actions\": []string{\"Try different USB cable\", \"Try different power source\"},\n\t\t},\n\t}\n\n\tresponse := map[string]interface{}{\n\t\t\"mac\": mac,\n\t\t\"name\": nodeName,\n\t\t\"role\": nodeRole,\n\t\t\"offline_minutes\": int(offlineDuration),\n\t\t\"troubleshooting\": steps,\n\t\t\"escalation\": \"If the issue persists after these steps, you may need to reflash the firmware or reset the node to factory defaults.\",\n\t}\n\n\twriteJSON(w, http.StatusOK, response)\n}\n\n// getZoneByID is a helper to get zone information by ID.\nfunc (h *GuidedHandler) getZoneByID(id int) (map[string]interface{}, error) {\n\tif h.zonesHandler == nil {\n\t\treturn nil, ErrZoneNotFound\n\t}\n\n\t// Try to get specific zone first\n\ttype zoneGetter interface {\n\t\tGetZone(id int) (map[string]interface{}, error)\n\t}\n\n\tif zg, ok := h.zonesHandler.(zoneGetter); ok {\n\t\tzone, err := zg.GetZone(id)\n\t\tif err == nil {\n\t\t\treturn zone, nil\n\t\t}\n\t}\n\n\t// Fall back to getting all zones\n\ttype allZonesGetter interface {\n\t\tGetAllZones() ([]map[string]interface{}, error)\n\t}\n\n\tif azg, ok := h.zonesHandler.(allZonesGetter); ok {\n\t\tzones, err := azg.GetAllZones()\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, zone := range zones {\n\t\t\tif zoneID, ok := zone[\"id\"].(int); ok && zoneID == id {\n\t\t\t\treturn zone, nil\n\t\t\t}\n\t\t\tif zoneID, ok := zone[\"id\"].(float64); ok && int(zoneID) == id {\n\t\t\t\treturn zone, nil\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil, ErrZoneNotFound\n}\n\n// ErrZoneNotFound is returned when a zone cannot be found.\nvar ErrZoneNotFound = &HTTPError{StatusCode: 404, Message: \"zone not found\"}\n\n// HTTPError represents an HTTP error with a status code and message.\ntype HTTPError struct {\n\tStatusCode int\n\tMessage string\n}\n\nfunc (e *HTTPError) Error() string {\n\treturn e.Message\n}\n\n// handleGetTooltip returns the tooltip for a feature if it should be shown.\nfunc (h *GuidedHandler) handleGetTooltip(w http.ResponseWriter, r *http.Request) {\n\tif h.guidedMgr == nil {\n\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"show\": false})\n\t\treturn\n\t}\n\n\tfeatureID := chi.URLParam(r, \"featureId\")\n\tif featureID == \"\" {\n\t\twriteJSONError(w, http.StatusBadRequest, \"missing feature ID\")\n\t\treturn\n\t}\n\n\tshouldShow := h.guidedMgr.ShouldShowTooltip(featureID)\n\tif !shouldShow {\n\t\twriteJSON(w, http.StatusOK, map[string]interface{}{\"show\": false})\n\t\treturn\n\t}\n\n\t// GetTooltip returns package-specific Tooltip types; use GetTooltipAny for cross-package access.\n\ttype tooltipGetterAny 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Ensure that you continue to use the todo list to track your progress. 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All the key implementation elements are present:1. **5-minute threshold**: `DURATION_MS = 5 * 60 * 1000; // 5 minutes` (line 45)\n2. **0.6 quality threshold**: `QUALITY_THRESHOLD = 0.6` (line 44)\n3. **Pulsing amber highlight**: `0xff9800` (amber color) with pulsing animation (lines 218, 220, 302)\n4. **GetDiagnosticFor method**: Already implemented in linkweather.go (line 1021)Let me now verify the dismiss-for-today functionality:","signature":""}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0},"context_management":null},"parent_tool_use_id":null,"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","uuid":"f1866635-8ae5-41cf-93b3-f92744c7ae58"} +{"type":"stream_event","event":{"type":"content_block_stop","index":0},"session_id":"6a3abf48-d396-46ea-b50d-3bc6d63508ab","parent_tool_use_id":null,"uuid":"2cb377f7-9e71-4d12-8827-25f50665e1c7"} 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