* feat(observability): OpenTelemetry logs+traces with secret redaction Part of #265. Adds opt-in OpenTelemetry (logs + traces) alongside the existing stderr + opslog pipeline, plus secret redaction on all sinks. Default-off: with no OTEL_* / SILO_OTEL_ENABLED config, behavior is unchanged. Bootstrap (internal/telemetry): - Setup() builds one shared resource, a TracerProvider (parent-based trace-id ratio sampler), a LoggerProvider, and the W3C TraceContext+Baggage propagator from env. It installs NO MeterProvider — metrics stay on Prometheus, and the built-in no-op global MeterProvider keeps the trace instrumentation libs from double-emitting. Shutdown is deferred with a flush timeout. - Logs are bridged via otelslog fan-out (slog.MultiHandler), level-gated by the shared LevelVar and best-effort so a failing collector can't break the console or DB branches. stderr + opslog stay untouched. Secret redaction (internal/logredact): - A slog.Handler masks secret-keyed attributes (password, token, api_key, authorization, cookie, ...) — including .With-bound attrs, nested groups, secret-keyed group subtrees, and values behind a LogValuer — on the console and OTLP sinks, with a no-op fast path when a record has no secret keys. opslog.shouldRedact delegates to logredact.SecretKey so all sinks share one marker list. Rotation is infra-managed (no custom file sink): container runtime for stderr, collector/backend for OTLP, opslog partition-pruning for the DB. Documented in docs/architecture/observability.md. Verification: go build ./..., go vet, gofmt -l — clean; go test ./internal/telemetry/ ./internal/logredact/ -race pass. AI-use disclosure: implemented with AI assistance (Claude Code), including adversarial reviews that hardened the bootstrap and fixed two redaction leak paths; reviewed by the author. * refactor(observability): slog context+component sweep, sloglint gate (phase 3) Part of #265. Builds on the OTel bootstrap + redaction commit. Standardizes every log call site onto the context-carrying slog variants so records correlate with the active OpenTelemetry trace, and locks the standard in with a machine gate so future code (human- or AI-authored) can't drift back. - Call-site sweep: converted the remaining slog.<Level>(...) calls to the slog.<Level>Context(ctx, ...) form wherever a context.Context is in scope (background/init calls with no ctx are left as-is), across 183 files. Applied via a type-aware AST codemod. Log levels and message strings are preserved verbatim; a component attr (canonical per-package name) is added to direct package-level slog calls. Bound-logger calls keep their existing .With bindings. The main.go and telemetry package conversions rode with their file in the previous commit to keep each file within a single commit. - Enforcement (.golangci.yml): enable sloglint with context=scope, static-msg, key-naming-case=snake, no-mixed-args. After the sweep all four report zero violations repo-wide (tests included), so make lint / CI now blocks any regression to the non-context form. The gate ships with the sweep because it cannot be green until the legacy sites are converted. Metrics remain on Prometheus; no behavior change to /metrics or Grafana. Verification: go build ./..., go vet ./..., gofmt -l — clean; sloglint (all 4 rules) 0 violations repo-wide; log levels verified unchanged. AI-use disclosure: implemented with AI assistance (Claude Code), including the codemod; reviewed by the author. * fix(observability): honor per-signal OTLP protocol and secret WithGroup names Two Codex review findings on PR #290: - telemetry: OTEL_EXPORTER_OTLP_{TRACES,LOGS}_PROTOCOL now override the generic OTEL_EXPORTER_OTLP_PROTOCOL per signal, so mixed collector setups (e.g. HTTP logs + gRPC traces) build the right exporter. - logredact: entering a group whose name is secret-bearing (e.g. WithGroup("authorization")) now masks every leaf in that subtree, matching how slog.Group("authorization", ...) is masked as a whole. * fix(observability): address review feedback on telemetry bootstrap - Telemetry setup failure no longer kills boot: Setup returns usable no-op providers alongside the error and main logs and continues with telemetry disabled, honoring the best-effort contract. - Honor OTEL_TRACES_SAMPLER (always_on/off, traceidratio, parentbased_* variants); unsupported values fall back to parentbased_traceidratio. - Attach node identity as semconv service.instance.id instead of the non-semconv node.name. - Rename opslog retention-scope log attrs to target_component/target_level so they no longer collide with the canonical component routing key, and tag those lines with component=opslog. - Fix stale levelGated comment casing; use WarnContext in the telemetry shutdown defer; document the LogValuer double-resolve on the redaction slow path. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Quick <31828688+Quick104@users.noreply.github.com> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
529 lines
17 KiB
Go
529 lines
17 KiB
Go
package recommendations
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import (
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"context"
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"fmt"
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"log/slog"
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"strings"
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"github.com/Silo-Server/silo-server/internal/models"
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"github.com/Silo-Server/silo-server/internal/recommendations/embeddings"
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)
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// isQuotaError returns true if the error indicates an API quota/billing issue
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// that won't be resolved by retrying.
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func isQuotaError(err error) bool {
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msg := err.Error()
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return strings.Contains(msg, "insufficient_quota") ||
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strings.Contains(msg, "exceeded your current quota") ||
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strings.Contains(msg, "billing")
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}
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func embeddingTextNeedsRefresh(storedModel, storedCanonicalText, generatedCanonicalText, currentModel string) bool {
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return storedModel != currentModel || storedCanonicalText != generatedCanonicalText
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}
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const (
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// embeddingBackfillBatchSize is how many items EmbedAll embeds per API call.
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embeddingBackfillBatchSize = 10
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// embeddingTextStaleQuotaPerRun bounds how many text-stale items the
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// expensive Pass 2 re-embeds in a single EmbedAll run. It caps the cost of
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// the one full-table text-staleness CTE scan per run.
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embeddingTextStaleQuotaPerRun = 200
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)
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// SimilarItems returns items most similar to the given item. Blends embedding
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// similarity (70%) with co-watch Jaccard score (30%), applies a validation
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// pipeline, MMR re-ranking, and assigns connection reasons.
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func (e *Engine) SimilarItems(ctx context.Context, itemID string, limit int) ([]ScoredItem, error) {
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// 1. Fetch source embedding.
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embedding, err := e.repo.GetEmbedding(ctx, itemID)
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if err != nil {
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return nil, fmt.Errorf("get embedding for item %s: %w", itemID, err)
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}
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if embedding == nil {
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return nil, nil
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}
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// 2. Fetch source metadata for validation pipeline.
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sourceMeta, err := e.repo.GetItemMetadata(ctx, itemID)
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if err != nil {
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slog.WarnContext(ctx, "could not fetch source metadata, skipping validation", "component", "recommendations", "item_id", itemID, "error", err)
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}
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sourceType := ""
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if sourceMeta != nil {
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sourceType = sourceMeta.Type
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}
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// 3. Embedding search (3x limit for filtering headroom). Constrain to the
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// source item's media type so an audiobook never appears in a movie's
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// Similar rail (and vice versa) once audiobook embeddings exist.
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embCandidates, err := e.repo.FindSimilar(ctx, embedding, []string{itemID}, sourceType, limit*3)
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if err != nil {
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return nil, fmt.Errorf("find similar items: %w", err)
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}
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// 4. Co-watch neighbors.
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cowatchPairs, _ := e.repo.GetCowatchNeighbors(ctx, itemID, limit*3)
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cowatchMap := make(map[string]float64, len(cowatchPairs))
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for _, p := range cowatchPairs {
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cowatchMap[p.SimilarItemID] = p.JaccardScore
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}
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// 5. Blend scores (70% embedding, 30% co-watch).
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blended := blendScores(embCandidates, cowatchMap, 0.7, 0.3)
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// 6. Validation pipeline.
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if sourceMeta != nil && len(blended) > 0 {
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blended = e.applyValidation(ctx, sourceMeta, blended)
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}
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// 7. MMR re-ranking.
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candidateIDs := make([]string, len(blended))
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for i, item := range blended {
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candidateIDs[i] = item.MediaItemID
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}
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embMap, _ := e.repo.GetBatchEmbeddings(ctx, candidateIDs)
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result := applyMMR(blended, embMap, e.mmrLambda(LambdaSimilarItems), limit)
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// 8. Connection reasons.
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e.assignReasons(ctx, itemID, sourceMeta, result)
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return result, nil
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}
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// applyValidation filters and penalizes candidates using the validation pipeline.
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func (e *Engine) applyValidation(ctx context.Context, sourceMeta *ItemMetadata, candidates []ScoredItem) []ScoredItem {
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candidateIDs := make([]string, len(candidates))
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for i, item := range candidates {
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candidateIDs[i] = item.MediaItemID
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}
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// Batch fetch candidate genres and titles.
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candidateGenres, _ := e.repo.GetItemAllGenres(ctx, candidateIDs)
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// We need titles for title-pattern detection. Fetch lightweight metadata.
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type titleYear struct {
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title string
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year int
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}
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candTitles := make(map[string]titleYear)
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rows, err := e.pool.Query(ctx, `
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SELECT content_id, title, COALESCE(year, 0) FROM media_items
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WHERE content_id = ANY($1)`, candidateIDs)
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if err == nil {
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defer rows.Close()
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for rows.Next() {
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var id, title string
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var year int
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if rows.Scan(&id, &title, &year) == nil {
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candTitles[id] = titleYear{title: title, year: year}
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}
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}
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}
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var validated []ScoredItem
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for _, item := range candidates {
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candMeta := &ItemMetadata{
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Genres: candidateGenres[item.MediaItemID],
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}
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if ty, ok := candTitles[item.MediaItemID]; ok {
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candMeta.Title = ty.title
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candMeta.Year = ty.year
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}
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result := validateCandidate(sourceMeta, candMeta, item)
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if result.rejected {
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continue
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}
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if result.scoreMult < 1.0 {
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item.Score *= result.scoreMult
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}
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validated = append(validated, item)
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}
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return validated
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}
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// assignReasons computes connection reasons for each result item.
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func (e *Engine) assignReasons(ctx context.Context, sourceItemID string, sourceMeta *ItemMetadata, items []ScoredItem) {
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if len(items) == 0 {
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return
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}
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// Default all to similar_content.
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for i := range items {
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items[i].Reason = "similar_content"
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}
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if sourceMeta == nil {
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return
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}
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candIDs := make([]string, len(items))
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for i := range items {
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candIDs[i] = items[i].MediaItemID
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}
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// Batch fetch people for source + candidates.
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allIDs := make([]string, 0, len(candIDs)+1)
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allIDs = append(allIDs, sourceItemID)
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allIDs = append(allIDs, candIDs...)
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allPeople := make(map[string]*itemPeopleData)
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if e.personRepo != nil {
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peopleMap, err := e.personRepo.ListForItems(ctx, allIDs)
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if err == nil {
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for id, people := range peopleMap {
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pd := &itemPeopleData{}
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for _, p := range people {
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switch p.Kind {
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case models.PersonKindDirector:
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pd.directors = append(pd.directors, p.Name)
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case models.PersonKindActor:
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if p.SortOrder <= 5 {
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pd.actors = append(pd.actors, p.Name)
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}
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}
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}
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allPeople[id] = pd
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}
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}
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}
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// Batch fetch candidate studios and genres for reasons.
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candStudios := make(map[string][]string)
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candidateGenres, _ := e.repo.GetItemAllGenres(ctx, candIDs)
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rows, err := e.pool.Query(ctx, `
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SELECT content_id, studios FROM media_items
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WHERE content_id = ANY($1) AND studios IS NOT NULL`, candIDs)
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if err == nil {
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defer rows.Close()
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for rows.Next() {
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var id string
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var studios []string
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if rows.Scan(&id, &studios) == nil {
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candStudios[id] = studios
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}
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}
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}
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sourcePeople := allPeople[sourceItemID]
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if sourcePeople == nil {
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sourcePeople = &itemPeopleData{}
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}
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for i := range items {
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candPeople := allPeople[items[i].MediaItemID]
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if candPeople == nil {
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candPeople = &itemPeopleData{}
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}
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candGenres := candidateGenres[items[i].MediaItemID]
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reason, detail := computeReason(sourcePeople, candPeople, sourceMeta.Studios, candStudios[items[i].MediaItemID], sourceMeta.Genres, candGenres)
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items[i].Reason = reason
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items[i].ReasonDetail = detail
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}
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}
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// EmbedItem generates and stores an embedding for a single media item.
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func (e *Engine) EmbedItem(ctx context.Context, itemID string) error {
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if err := e.ensureEmbeddingLockConfig(ctx); err != nil {
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return fmt.Errorf("embed item %s: %w", itemID, err)
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}
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items, err := e.itemRepo.GetByIDs(ctx, []string{itemID})
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if err != nil || len(items) == 0 {
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return fmt.Errorf("get item %s: %w", itemID, err)
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}
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// Hydrate cast/crew from item_people for richer embedding text.
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e.hydrateItemPeople(ctx, items)
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text := embeddings.BuildEmbeddingText(items[0])
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vectors, err := e.embClient.Embed(ctx, []string{text})
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if err != nil {
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return fmt.Errorf("embed item %s: %w", itemID, err)
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}
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if len(vectors) == 0 {
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return fmt.Errorf("no embedding returned for item %s", itemID)
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}
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if err := e.ensureEmbeddingLock(ctx, vectors[0]); err != nil {
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return fmt.Errorf("embed item %s: %w", itemID, err)
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}
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return e.repo.UpsertEmbedding(ctx, itemID, vectors[0], e.cfg.EmbeddingModel, text)
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}
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// EmbedAll embeds items that are missing embeddings or have stale canonical
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// text, in two passes:
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//
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// - Pass 1 (cheap): drain every missing or model-stale item via the
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// ItemsNeedingEmbedding cursor. This query is a single LEFT JOIN with no
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// item_people LATERAL joins, so active backfill (lots of brand-new items)
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// stays cheap. The cursor advances past each page, so an item that fails to
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// embed or store is simply retried on the next EmbedAll run rather than
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// stalling the page forever.
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// - Pass 2 (expensive): ONLY once Pass 1 has fully drained, make a single
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// ListEmbeddingTextCandidates scan (LIMIT embeddingTextStaleQuotaPerRun) to
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// find items whose embedding model is current but whose canonical text has
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// drifted (e.g. a cast change). Detecting this requires recomputing each
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// row's text via the full item_people LATERAL CTE, so it is run at most once
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// per EmbedAll call. Re-embedding refreshes canonical_text, so handled items
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// drop out of the candidate set on the next run — natural forward progress
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// without a Pass 2 cursor.
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//
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// Coverage-first tradeoff: in steady state Pass 1 drains every run, so text-stale
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// items are re-embedded promptly. Only under pathological continuous heavy
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// ingest (Pass 1 never drains within a run) does Pass 2 get skipped — we
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// deliberately prioritize getting NEW items covered over re-embedding
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// text-changed ones. A periodic "force Pass 2 every Nth run" is a possible
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// follow-up, intentionally out of scope here.
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func (e *Engine) EmbedAll(ctx context.Context) (int, error) {
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model := e.cfg.EmbeddingModel
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total := 0
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if err := e.ensureEmbeddingLockConfig(ctx); err != nil {
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return total, err
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}
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// Pass 1: drain the cheap missing/model-stale backlog via the cursor.
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afterID := ""
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for {
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select {
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case <-ctx.Done():
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return total, ctx.Err()
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default:
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}
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ids, err := e.repo.ItemsNeedingEmbedding(ctx, model, afterID, embeddingBackfillBatchSize)
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if err != nil {
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return total, err
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}
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if len(ids) == 0 {
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break
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}
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afterID = ids[len(ids)-1]
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items, err := e.itemRepo.GetByIDs(ctx, ids)
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if err != nil {
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return total, fmt.Errorf("get items for embedding: %w", err)
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}
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// Hydrate cast/crew for richer embedding text.
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e.hydrateItemPeople(ctx, items)
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texts := make([]string, len(items))
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for i, item := range items {
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texts[i] = embeddings.BuildEmbeddingText(item)
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}
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// embedBatch only returns quota/billing or context errors; both mean the
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// cheap backlog did not fully drain this run, so we stop here and skip the
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// expensive Pass 2. Any per-item store/embed failure is swallowed inside
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// embedBatch and retried next run (the cursor passes over it).
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embedded, err := e.embedBatch(ctx, items, texts, model)
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total += embedded
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if err != nil {
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return total, err
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}
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}
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// Reaching here means Pass 1 fully drained (every error path above returns).
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select {
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case <-ctx.Done():
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return total, ctx.Err()
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default:
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}
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// Pass 2: one expensive text-staleness scan, bounded by the per-run quota.
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candidates, err := e.repo.ListEmbeddingTextCandidates(ctx, "", model, embeddingTextStaleQuotaPerRun)
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if err != nil {
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return total, err
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}
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if len(candidates) == 0 {
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return total, nil
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}
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ids := make([]string, 0, len(candidates))
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stored := make(map[string]EmbeddingTextCandidate, len(candidates))
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for _, candidate := range candidates {
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ids = append(ids, candidate.MediaItemID)
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stored[candidate.MediaItemID] = candidate
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}
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items, err := e.itemRepo.GetByIDs(ctx, ids)
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if err != nil {
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return total, fmt.Errorf("get items for embedding: %w", err)
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}
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e.hydrateItemPeople(ctx, items)
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// Pass 1 already cleared missing/model-stale rows, so the remaining
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// candidates are text-stale. Re-confirm in Go (the SQL detection is an
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// approximation of BuildEmbeddingText) before paying for an embed.
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staleItems := make([]*models.MediaItem, 0, len(items))
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staleTexts := make([]string, 0, len(items))
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for _, item := range items {
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text := embeddings.BuildEmbeddingText(item)
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candidate := stored[item.ContentID]
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if embeddingTextNeedsRefresh(candidate.Model, candidate.CanonicalText, text, model) {
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staleItems = append(staleItems, item)
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staleTexts = append(staleTexts, text)
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}
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}
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embedded, err := e.embedBatch(ctx, staleItems, staleTexts, model)
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total += embedded
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if err != nil {
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return total, err
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}
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return total, nil
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}
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// embedBatch embeds the given items (parallel items/texts slices, same length),
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// chunking internally by embeddingBackfillBatchSize so callers can pass any
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// size. It returns the number of items successfully stored.
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//
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// Behavior preserved from the original EmbedAll inner loop:
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// - quota/billing errors return immediately (retrying won't help) and are the
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// only batch-embed errors propagated to the caller;
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// - any other batch embed failure falls back to embedding one item at a time
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// so a single oversized item can't block the rest;
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// - ensureEmbeddingLock runs before each upsert;
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// - a store (upsert) failure for one item is logged and skipped, not fatal.
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func (e *Engine) embedBatch(ctx context.Context, items []*models.MediaItem, texts []string, model string) (int, error) {
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total := 0
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for start := 0; start < len(items); start += embeddingBackfillBatchSize {
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select {
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case <-ctx.Done():
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return total, ctx.Err()
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default:
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}
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end := start + embeddingBackfillBatchSize
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if end > len(items) {
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end = len(items)
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}
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chunkItems := items[start:end]
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chunkTexts := texts[start:end]
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if len(chunkItems) == 0 {
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continue
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}
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vectors, err := e.embClient.Embed(ctx, chunkTexts)
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if err != nil {
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// Quota/billing errors won't resolve by retrying — stop immediately.
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if isQuotaError(err) {
|
|
return total, fmt.Errorf("embedding API quota exceeded, check billing: %w", err)
|
|
}
|
|
|
|
// Batch failed — fall back to embedding one at a time so a single
|
|
// oversized item doesn't block the entire job.
|
|
slog.WarnContext(ctx, "batch embed failed, falling back to single-item mode", "component", "recommendations", "error", err, "batch_size", len(chunkItems))
|
|
for i, item := range chunkItems {
|
|
if ctx.Err() != nil {
|
|
return total, ctx.Err()
|
|
}
|
|
single := chunkTexts[i]
|
|
vecs, embedErr := e.embClient.Embed(ctx, []string{single})
|
|
if embedErr != nil {
|
|
if isQuotaError(embedErr) {
|
|
return total, fmt.Errorf("embedding API quota exceeded, check billing: %w", embedErr)
|
|
}
|
|
if ctx.Err() != nil {
|
|
return total, ctx.Err()
|
|
}
|
|
slog.WarnContext(ctx, "skipping item, embed failed", "component", "recommendations", "item_id", item.ContentID, "error", embedErr)
|
|
continue
|
|
}
|
|
if len(vecs) > 0 {
|
|
if err := e.ensureEmbeddingLock(ctx, vecs[0]); err != nil {
|
|
return total, fmt.Errorf("embed item %s: %w", item.ContentID, err)
|
|
}
|
|
if storeErr := e.repo.UpsertEmbedding(ctx, item.ContentID, vecs[0], model, single); storeErr != nil {
|
|
slog.WarnContext(ctx, "skipping item, store failed", "component", "recommendations", "item_id", item.ContentID, "error", storeErr)
|
|
continue
|
|
}
|
|
total++
|
|
}
|
|
}
|
|
continue
|
|
}
|
|
|
|
for i, item := range chunkItems {
|
|
if i >= len(vectors) {
|
|
break
|
|
}
|
|
if err := e.ensureEmbeddingLock(ctx, vectors[i]); err != nil {
|
|
return total, fmt.Errorf("embed item %s: %w", item.ContentID, err)
|
|
}
|
|
if err := e.repo.UpsertEmbedding(ctx, item.ContentID, vectors[i], model, chunkTexts[i]); err != nil {
|
|
slog.WarnContext(ctx, "skipping item, store failed", "component", "recommendations", "item_id", item.ContentID, "error", err)
|
|
continue
|
|
}
|
|
total++
|
|
}
|
|
}
|
|
|
|
return total, nil
|
|
}
|
|
|
|
// hydrateItemPeople populates the People field on media items from item_people.
|
|
func (e *Engine) hydrateItemPeople(ctx context.Context, items []*models.MediaItem) {
|
|
ids := make([]string, len(items))
|
|
for i, item := range items {
|
|
ids[i] = item.ContentID
|
|
}
|
|
|
|
peopleMap, err := e.personRepo.ListForItems(ctx, ids)
|
|
if err != nil {
|
|
slog.WarnContext(ctx, "failed to hydrate item people for embeddings", "component", "recommendations", "error", err)
|
|
return
|
|
}
|
|
|
|
for _, item := range items {
|
|
if people, ok := peopleMap[item.ContentID]; ok {
|
|
item.People = people
|
|
}
|
|
}
|
|
}
|
|
|
|
func (e *Engine) ensureEmbeddingLock(ctx context.Context, vector []float32) error {
|
|
sourceDimensions := len(vector)
|
|
|
|
lock, err := e.repo.GetEmbeddingLock(ctx)
|
|
if err != nil {
|
|
return fmt.Errorf("load embedding lock: %w", err)
|
|
}
|
|
if lock == nil {
|
|
return e.repo.SetEmbeddingLock(ctx, EmbeddingLock{
|
|
BaseURL: e.cfg.EmbeddingBaseURL,
|
|
Model: e.cfg.EmbeddingModel,
|
|
SourceDimensions: sourceDimensions,
|
|
StorageDimensions: CanonicalEmbeddingDimensions,
|
|
})
|
|
}
|
|
|
|
if err := lock.Validate(e.cfg.EmbeddingBaseURL, e.cfg.EmbeddingModel, sourceDimensions); err != nil {
|
|
return err
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (e *Engine) ensureEmbeddingLockConfig(ctx context.Context) error {
|
|
lock, err := e.repo.GetEmbeddingLock(ctx)
|
|
if err != nil {
|
|
return fmt.Errorf("load embedding lock: %w", err)
|
|
}
|
|
if lock == nil {
|
|
return nil
|
|
}
|
|
if err := lock.ValidateConfig(e.cfg.EmbeddingBaseURL, e.cfg.EmbeddingModel); err != nil {
|
|
return err
|
|
}
|
|
return nil
|
|
}
|