spaxel/mothership/internal/api/feedback.go
jedarden af5101e9e4 feat(feedback): enhance false positive explanations with diagnostic context
When users mark detections as incorrect, the system now provides:
- Contributing link name (MAC prefix)
- DeltaRMS value and threshold ratio
- Root cause from diagnostic checks
- Note about applying corrections

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-25 12:11:39 -04:00

313 lines
11 KiB
Go

// Package api provides REST API handlers for Spaxel feedback.
package api
import (
"encoding/json"
"fmt"
"log"
"net/http"
"strconv"
"time"
"github.com/go-chi/chi/v5"
"github.com/spaxel/mothership/internal/diagnostics"
"github.com/spaxel/mothership/internal/explainability"
)
// FeedbackRequest represents a feedback submission from the timeline.
type FeedbackRequest struct {
Type string `json:"type"` // "correct" or "incorrect"
EventID int64 `json:"event_id"` // Optional: event ID being rated
BlobID int `json:"blob_id"` // Optional: blob ID being rated
Position *struct {
X float64 `json:"x"`
Y float64 `json:"y"`
Z float64 `json:"z"`
} `json:"position,omitempty"` // For "missed" feedback
}
// FeedbackHandler handles simple feedback submissions from the UI.
type FeedbackHandler struct {
eventsHandler *EventsHandler
learningHandler any // Learning handler with ProcessFeedback method
explainabilityHandler *explainability.Handler
diagnosticEngine *diagnostics.DiagnosticEngine
}
// NewFeedbackHandler creates a new feedback handler.
func NewFeedbackHandler(eventsHandler *EventsHandler) *FeedbackHandler {
return &FeedbackHandler{
eventsHandler: eventsHandler,
}
}
// SetLearningHandler sets the learning handler for feedback processing.
func (h *FeedbackHandler) SetLearningHandler(learningHandler any) {
h.learningHandler = learningHandler
}
// SetExplainabilityHandler sets the explainability handler.
func (h *FeedbackHandler) SetExplainabilityHandler(eh *explainability.Handler) {
h.explainabilityHandler = eh
}
// SetDiagnosticEngine sets the diagnostic engine for link health analysis.
func (h *FeedbackHandler) SetDiagnosticEngine(de *diagnostics.DiagnosticEngine) {
h.diagnosticEngine = de
}
// getExplainabilityForBlob retrieves the explainability snapshot for a blob.
// This is a helper method to avoid circular dependencies.
func (h *FeedbackHandler) getExplainabilityForBlob(blobID int, timestamp int64) *explainability.BlobExplanation {
if h.explainabilityHandler == nil {
return nil
}
// The explainability handler has its own mutex, so we can call its method directly
// We need to access the blobHistory map which is not exported, so we'll use a workaround
// by creating a minimal HTTP request to the internal handler
// For now, we'll access the handler's internal state through a public method
// In production, this would be done through a proper interface
return h.explainabilityHandler.GetExplanationForBlob(blobID, timestamp)
}
// RegisterRoutes registers feedback endpoints.
func (h *FeedbackHandler) RegisterRoutes(r chi.Router) {
r.Post("/api/feedback", h.handleSubmitFeedback)
}
// handleSubmitFeedback handles POST /api/feedback
func (h *FeedbackHandler) handleSubmitFeedback(w http.ResponseWriter, r *http.Request) {
var req FeedbackRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
writeJSONError(w, http.StatusBadRequest, "invalid request body")
return
}
// Validate feedback type
if req.Type != "correct" && req.Type != "incorrect" && req.Type != "missed" {
writeJSONError(w, http.StatusBadRequest, "invalid feedback type: must be 'correct', 'incorrect', or 'missed'")
return
}
// Get event details for logging
var zone, person string
var detailJSON string
if req.EventID > 0 {
// Look up event by ID
// This would require a DB query - for now, we'll just log the ID
log.Printf("[INFO] Feedback for event %d: type=%s blob_id=%d", req.EventID, req.Type, req.BlobID)
} else {
log.Printf("[INFO] Feedback without event: type=%s blob_id=%d", req.Type, req.BlobID)
}
// Create detail JSON for the event
details := make(map[string]interface{})
if req.Position != nil {
details["position"] = req.Position
}
detailBytes, _ := json.Marshal(details)
detailJSON = string(detailBytes)
// If this is feedback for a specific event, we could update the event's detail_json
// to include the feedback. For now, we'll just log a new event.
if req.Type == "incorrect" && req.EventID > 0 {
// Log a "corrected" event to indicate the original was marked incorrect
if h.eventsHandler != nil {
_ = h.eventsHandler.LogEvent("feedback_corrected", time.Now(), zone, person, req.BlobID,
`{"original_event_id":`+strconv.FormatInt(req.EventID, 10)+`,"feedback":"incorrect"}`, "info")
}
} else if req.Type == "correct" && req.EventID > 0 {
// Log a positive feedback event
if h.eventsHandler != nil {
_ = h.eventsHandler.LogEvent("feedback_confirmed", time.Now(), zone, person, req.BlobID,
`{"original_event_id":`+strconv.FormatInt(req.EventID, 10)+`,"feedback":"correct"}`, "info")
}
} else if req.Type == "missed" && req.Position != nil {
// Log a missed detection
if h.eventsHandler != nil {
_ = h.eventsHandler.LogEvent("missed_detection", time.Now(), zone, person, req.BlobID,
detailJSON, "warning")
}
}
// If learning handler is available, process the feedback
if h.learningHandler != nil {
// Try to call ProcessFeedback if the method exists
// This uses reflection-like approach to avoid tight coupling
type processor interface {
ProcessFeedback(feedbackType string, eventID int64, blobID int, positionJSON string) error
}
if p, ok := h.learningHandler.(processor); ok {
var positionJSON string
if req.Position != nil {
positionBytes, _ := json.Marshal(req.Position)
positionJSON = string(positionBytes)
}
_ = p.ProcessFeedback(req.Type, req.EventID, req.BlobID, positionJSON)
}
}
// Return success response with inline message
response := map[string]interface{}{
"ok": true,
"message": "Feedback recorded",
}
// Add inline response based on feedback type
switch req.Type {
case "incorrect":
inlineResp := map[string]interface{}{
"type": "adjustment",
"title": "Adjusting detection threshold",
"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.",
}
// Add explainability snapshot if available
if req.BlobID > 0 && h.explainabilityHandler != nil {
// Get current timestamp for the explanation
timestamp := time.Now().UnixMilli()
// Fetch explainability for this blob
// We'll use the blob ID to get the explanation
// Get explanation from the handler directly
if exp := h.getExplainabilityForBlob(req.BlobID, timestamp); exp != nil {
// Build contributing links data with detailed information
contributingLinksData := make([]map[string]interface{}, 0, len(exp.ContributingLinks))
for _, link := range exp.ContributingLinks {
linkData := map[string]interface{}{
"link_id": link.LinkID,
"node_mac": link.NodeMAC,
"peer_mac": link.PeerMAC,
"delta_rms": link.DeltaRMS,
"zone_number": link.ZoneNumber,
"weight": link.Weight,
"contributing": link.Contributing,
}
contributingLinksData = append(contributingLinksData, linkData)
}
explainabilityData := map[string]interface{}{
"blob_id": exp.BlobID,
"x": exp.X,
"y": exp.Y,
"z": exp.Z,
"confidence": exp.Confidence,
"timestamp_ms": exp.Timestamp,
"contributing_links": contributingLinksData,
}
// Add diagnostic info for primary contributing link
if len(exp.ContributingLinks) > 0 && h.diagnosticEngine != nil {
primaryLink := exp.ContributingLinks[0]
linkID := primaryLink.LinkID
eventTime := time.UnixMilli(timestamp)
diagnosis := h.diagnosticEngine.GetDiagnosticFor(linkID, eventTime)
if diagnosis != nil {
diagData := map[string]interface{}{
"rule_id": diagnosis.RuleID,
"severity": diagnosis.Severity,
"title": diagnosis.Title,
"detail": diagnosis.Detail,
"advice": diagnosis.Advice,
"confidence": diagnosis.ConfidenceScore,
}
explainabilityData["diagnosis"] = diagData
// Update the inline response message with diagnostic context
if diagnosis.RuleID != "no_issue_detected" && diagnosis.RuleID != "insufficient_data" {
// Build a more detailed explanation message
linkName := linkID
if len(primaryLink.NodeMAC) >= 8 {
linkName = primaryLink.NodeMAC[:8]
}
deltaRMS := primaryLink.DeltaRMS
threshold := 0.02
ratio := "1.0"
if threshold > 0 {
ratio = fmt.Sprintf("%.1f", deltaRMS/threshold)
}
explanationMsg := fmt.Sprintf("The system detected motion here because: %s's signal (deltaRMS: %.4f) exceeded the motion threshold by %sx. ",
linkName, deltaRMS, ratio)
explanationMsg += diagnosis.Detail + " " + diagnosis.Advice + " We've noted this and will apply corrections."
inlineResp["message"] = explanationMsg
}
}
}
inlineResp["explainability"] = explainabilityData
}
}
response["inline_response"] = inlineResp
case "correct":
response["inline_response"] = map[string]interface{}{
"type": "confirmation",
"title": "Thanks for confirming!",
"message": "This helps improve detection accuracy over time.",
}
}
writeJSON(w, http.StatusOK, response)
}
// SubmitFeedback is called by the events handler to process feedback for a specific event.
func (h *FeedbackHandler) SubmitFeedback(w http.ResponseWriter, r *http.Request, req FeedbackRequest) {
// Validate feedback type
if req.Type != "correct" && req.Type != "incorrect" && req.Type != "missed" {
writeJSONError(w, http.StatusBadRequest, "invalid feedback type: must be 'correct', 'incorrect', or 'missed'")
return
}
// Get event details for logging
var zone, person string
var detailJSON string
// Create detail JSON for the event
details := make(map[string]interface{})
details["original_event_id"] = req.EventID
details["feedback"] = req.Type
if req.Position != nil {
details["position"] = req.Position
}
detailBytes, _ := json.Marshal(details)
detailJSON = string(detailBytes)
// Log feedback event
if h.eventsHandler != nil {
eventType := "feedback_confirmed"
if req.Type == "incorrect" {
eventType = "feedback_corrected"
} else if req.Type == "missed" {
eventType = "missed_detection"
}
_ = h.eventsHandler.LogEvent(eventType, time.Now(), zone, person, req.BlobID, detailJSON, "info")
}
// If learning handler is available, process the feedback
if h.learningHandler != nil {
type processor interface {
ProcessFeedback(feedbackType string, eventID int64, blobID int, positionJSON string) error
}
if p, ok := h.learningHandler.(processor); ok {
var positionJSON string
if req.Position != nil {
positionBytes, _ := json.Marshal(req.Position)
positionJSON = string(positionBytes)
}
_ = p.ProcessFeedback(req.Type, req.EventID, req.BlobID, positionJSON)
}
}
// Return success response
writeJSON(w, http.StatusOK, map[string]interface{}{
"ok": true,
"message": "Feedback recorded",
})
}