diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml index eebb923..d3a1889 100644 --- a/.github/workflows/ci.yaml +++ b/.github/workflows/ci.yaml @@ -20,4 +20,5 @@ jobs: uses: lukaszraczylo/shared-actions/.github/workflows/go-pr.yaml@main with: go-version: ">=1.24" + lfs: true secrets: inherit diff --git a/README.md b/README.md index f884544..8962d92 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,21 @@ Claude Code forgets everything when your session ends. Claude Mnemonic fixes tha It captures what Claude learns during your coding sessions - bug fixes, architecture decisions, patterns that work - and brings that knowledge back in future conversations. No more re-explaining your codebase. -## What's New in v0.6 +![Claude Mnemonic Dashboard](docs/public/claude-mnemonic.jpg) + +## What's New in v0.7 + +- **Two-Stage Retrieval** - Cross-encoder reranking for dramatically improved search relevance +- **Knowledge Graph** - Automatic relationship detection between observations with visual graph in dashboard + ![Knowledge Graph](docs/public/observation-relation-graph.jpg) +- **Pattern Detection** - Identifies recurring patterns across sessions and projects +- **Importance Scoring** - Time decay and voting system to surface the most valuable memories +- **Query Expansion** - Reformulates searches to find semantically related content +- **Conflict Detection** - Identifies and resolves contradictory observations +- **Observation Lifecycle** - Memories can be superseded when better information arrives + +
+Previous: v0.6 - **Auto-Updates** - Automatically stays up-to-date with the latest version - **Slash Command: `/restart`** - Restart the worker directly from Claude Code @@ -20,6 +34,7 @@ It captures what Claude learns during your coding sessions - bug fixes, architec - **Async Queue Processing** - Non-blocking observation capture for faster sessions - **Smarter Storage** - Filters out system/agent summaries to keep knowledge relevant - **Improved Reliability** - Better handling of connectivity issues and dead connections +
## Requirements @@ -110,16 +125,39 @@ Config file: `~/.claude-mnemonic/settings.json` { "CLAUDE_MNEMONIC_WORKER_PORT": 37777, "CLAUDE_MNEMONIC_CONTEXT_OBSERVATIONS": 100, - "CLAUDE_MNEMONIC_CONTEXT_FULL_COUNT": 25 + "CLAUDE_MNEMONIC_CONTEXT_FULL_COUNT": 25, + "CLAUDE_MNEMONIC_RERANKING_ENABLED": true } ``` +### Core Settings + | Variable | Default | What it does | |----------|---------|--------------| | `WORKER_PORT` | `37777` | Dashboard & API port | | `CONTEXT_OBSERVATIONS` | `100` | Max memories per session | -| `CONTEXT_FULL_COUNT` | `25` | Full detail memories (rest are condensed to title only) | +| `CONTEXT_FULL_COUNT` | `25` | Full detail memories (rest are condensed) | | `CONTEXT_SESSION_COUNT` | `10` | Recent sessions to reference | +| `CONTEXT_RELEVANCE_THRESHOLD` | `0.3` | Minimum similarity score (0.0-1.0) for inclusion | +| `CONTEXT_MAX_PROMPT_RESULTS` | `10` | Max results per prompt search | + +### Reranking Settings (Two-Stage Retrieval) + +| Variable | Default | What it does | +|----------|---------|--------------| +| `RERANKING_ENABLED` | `true` | Enable cross-encoder reranking | +| `RERANKING_CANDIDATES` | `100` | Candidates to retrieve before reranking | +| `RERANKING_RESULTS` | `10` | Final results after reranking | +| `RERANKING_ALPHA` | `0.7` | Score blend: alpha×rerank + (1-alpha)×original | +| `RERANKING_PURE_MODE` | `false` | Use pure cross-encoder scores only | + +### Embedding Settings + +| Variable | Default | What it does | +|----------|---------|--------------| +| `EMBEDDING_MODEL` | `bge-v1.5` | Embedding model for semantic search | + +All variables are prefixed with `CLAUDE_MNEMONIC_` in the config file. ## Project vs Global scope @@ -202,10 +240,11 @@ curl -sSL https://raw.githubusercontent.com/lukaszraczylo/claude-mnemonic/main/s - **SQLite + FTS5** - Full-text search for exact matches - **sqlite-vec** - Vector database embedded in SQLite -- **all-MiniLM-L6-v2** - Local embedding model (384 dimensions) via ONNX Runtime +- **Two-Stage Retrieval** - Bi-encoder (embedding) + cross-encoder (reranking) for high accuracy +- **Local Models** - all-MiniLM-L6-v2 for embeddings, BGE reranker for relevance scoring - **Go** - Single binary, no external dependencies -Everything runs locally. No Python. No external vector database. No API calls for embeddings. +Everything runs locally. No Python. No external vector database. No API calls. ## Platform support diff --git a/cmd/hooks/user-prompt/main.go b/cmd/hooks/user-prompt/main.go index ddecbb2..5b832f6 100644 --- a/cmd/hooks/user-prompt/main.go +++ b/cmd/hooks/user-prompt/main.go @@ -61,12 +61,8 @@ func main() { searchResult, _ := hooks.GET(port, searchURL) if observations, ok := searchResult["observations"].([]interface{}); ok && len(observations) > 0 { - // Limit to top 5 most relevant observations - maxObs := 5 - if len(observations) < maxObs { - maxObs = len(observations) - } - observations = observations[:maxObs] + // Results are already filtered by relevance threshold and capped by max_results + // from the server-side config (ContextRelevanceThreshold, ContextMaxPromptResults) observationCount = len(observations) // Build context from search results diff --git a/docs/public/claude-mnemonic.jpg b/docs/public/claude-mnemonic.jpg new file mode 100644 index 0000000..8cc82fe Binary files /dev/null and b/docs/public/claude-mnemonic.jpg differ diff --git a/docs/public/observation-relation-graph.jpg b/docs/public/observation-relation-graph.jpg new file mode 100644 index 0000000..7d13e0a Binary files /dev/null and b/docs/public/observation-relation-graph.jpg differ diff --git a/docs/src/App.vue b/docs/src/App.vue index c11bd2f..97c362d 100644 --- a/docs/src/App.vue +++ b/docs/src/App.vue @@ -29,6 +29,21 @@ subtitle="Stop re-explaining your codebase. Claude Mnemonic captures bug fixes, architecture decisions, and coding patterns - then brings them back exactly when you need them." /> + +
+
+
+
+ Claude Mnemonic Dashboard +
+

The dashboard at localhost:37777 - browse, search, and manage your memories

+
+
+
@@ -85,6 +100,21 @@
+ +
+
+ +
+ Knowledge Graph Visualization +
+

Click any observation to explore its relationships - see what causes what, what fixes what, and how concepts evolve

+
+
+
@@ -288,8 +318,8 @@

Embedded vector database. No external services required.

-
MiniLM
-

Local embeddings via ONNX. "Fix auth" finds "JWT issue" automatically.

+
BGE
+

Two-stage retrieval: bi-encoder embeddings + cross-encoder reranking for high accuracy.

@@ -386,10 +416,10 @@ const activeTab = ref('macos') const features = [ { icon: 'fas fa-brain', title: 'Learns as you work', description: 'Every bug fix, every architecture decision, every "aha moment" - captured automatically without breaking your flow.' }, + { icon: 'fas fa-search', title: 'Two-stage retrieval', description: 'Cross-encoder reranking delivers highly relevant results. Finds what you need even with vague queries like "that auth thing".' }, + { icon: 'fas fa-project-diagram', title: 'Knowledge graph', description: 'Automatically discovers relationships between memories. See how concepts connect in the visual graph dashboard.' }, { icon: 'fas fa-folder-tree', title: 'Project-aware context', description: 'Your React knowledge stays in React projects. Your Go patterns stay in Go projects. No context pollution.' }, - { icon: 'fas fa-globe', title: 'Shared best practices', description: 'Security patterns, performance tips, and universal learnings automatically available across all your projects.' }, - { icon: 'fas fa-search', title: 'Finds what matters', description: 'Semantic search finds relevant memories even when you don\'t remember the exact words. "That auth thing" just works.' }, - { icon: 'fas fa-chart-line', title: 'Live statusline', description: 'Real-time metrics right in Claude Code: memories served, searches performed, and project memory count at a glance.' }, + { icon: 'fas fa-chart-line', title: 'Smart scoring', description: 'Importance decay, pattern detection, and conflict resolution ensure the most valuable memories surface first.' }, { icon: 'fas fa-lock', title: '100% private', description: 'Your code context never leaves your machine. No telemetry. No cloud sync. Your memories are yours.' }, ] @@ -415,8 +445,8 @@ const installCommands = { const configOptions = [ { name: 'CLAUDE_MNEMONIC_WORKER_PORT', description: 'HTTP port for the worker service (default: 37777)', icon: 'fas fa-network-wired' }, { name: 'CLAUDE_MNEMONIC_CONTEXT_OBSERVATIONS', description: 'Maximum observations injected per session (default: 100)', icon: 'fas fa-layer-group' }, - { name: 'CLAUDE_MNEMONIC_CONTEXT_FULL_COUNT', description: 'Observations with full narrative detail, rest are condensed (default: 25)', icon: 'fas fa-expand' }, - { name: 'CLAUDE_MNEMONIC_MODEL', description: 'Model for processing observations (default: haiku)', icon: 'fas fa-microchip' }, + { name: 'CLAUDE_MNEMONIC_RERANKING_ENABLED', description: 'Enable cross-encoder reranking for improved search relevance (default: true)', icon: 'fas fa-sort-amount-down' }, + { name: 'CLAUDE_MNEMONIC_CONTEXT_RELEVANCE_THRESHOLD', description: 'Minimum similarity score for inclusion, 0.0-1.0 (default: 0.3)', icon: 'fas fa-filter' }, ] const requiredDeps = [ diff --git a/internal/config/config.go b/internal/config/config.go index 4fd0e91..13f952e 100644 --- a/internal/config/config.go +++ b/internal/config/config.go @@ -48,16 +48,29 @@ type Config struct { Model string `json:"model"` ClaudeCodePath string `json:"claude_code_path"` + // Embedding settings + EmbeddingModel string `json:"embedding_model"` // e.g., "bge-v1.5" + + // Reranking settings (cross-encoder) + RerankingEnabled bool `json:"reranking_enabled"` // Enable cross-encoder reranking + RerankingCandidates int `json:"reranking_candidates"` // Number of candidates to retrieve before reranking (default 100) + RerankingResults int `json:"reranking_results"` // Number of results to return after reranking (default 10) + RerankingAlpha float64 `json:"reranking_alpha"` // Weight for combining scores: alpha*rerank + (1-alpha)*original (default 0.7) + RerankingMinImprovement float64 `json:"reranking_min_improvement"` // Minimum rank improvement to trigger reranking (default 0, always rerank) + RerankingPureMode bool `json:"reranking_pure_mode"` // Use pure cross-encoder scores without combining with bi-encoder (default false) + // Context injection settings - ContextObservations int `json:"context_observations"` - ContextFullCount int `json:"context_full_count"` - ContextSessionCount int `json:"context_session_count"` - ContextShowReadTokens bool `json:"context_show_read_tokens"` - ContextShowWorkTokens bool `json:"context_show_work_tokens"` - ContextFullField string `json:"context_full_field"` - ContextShowLastSummary bool `json:"context_show_last_summary"` - ContextObsTypes []string `json:"context_obs_types"` - ContextObsConcepts []string `json:"context_obs_concepts"` + ContextObservations int `json:"context_observations"` + ContextFullCount int `json:"context_full_count"` + ContextSessionCount int `json:"context_session_count"` + ContextShowReadTokens bool `json:"context_show_read_tokens"` + ContextShowWorkTokens bool `json:"context_show_work_tokens"` + ContextFullField string `json:"context_full_field"` + ContextShowLastSummary bool `json:"context_show_last_summary"` + ContextObsTypes []string `json:"context_obs_types"` + ContextObsConcepts []string `json:"context_obs_concepts"` + ContextRelevanceThreshold float64 `json:"context_relevance_threshold"` // 0.0-1.0, minimum similarity for inclusion + ContextMaxPromptResults int `json:"context_max_prompt_results"` // Max results per prompt (0 = threshold only) } var ( @@ -119,22 +132,33 @@ func EnsureAll() error { return nil } +// DefaultEmbeddingModel is the default embedding model to use. +const DefaultEmbeddingModel = "bge-v1.5" + // Default returns a Config with default values. func Default() *Config { return &Config{ - WorkerPort: DefaultWorkerPort, - DBPath: DBPath(), - MaxConns: 4, - Model: DefaultModel, - ContextObservations: 100, - ContextFullCount: 25, - ContextSessionCount: 10, - ContextShowReadTokens: true, - ContextShowWorkTokens: true, - ContextFullField: "narrative", - ContextShowLastSummary: true, - ContextObsTypes: DefaultObservationTypes, - ContextObsConcepts: DefaultObservationConcepts, + WorkerPort: DefaultWorkerPort, + DBPath: DBPath(), + MaxConns: 4, + Model: DefaultModel, + EmbeddingModel: DefaultEmbeddingModel, + RerankingEnabled: true, // Enable by default for improved relevance + RerankingCandidates: 100, // Retrieve top 100 candidates + RerankingResults: 10, // Return top 10 after reranking + RerankingAlpha: 0.7, // Favor cross-encoder score + RerankingMinImprovement: 0, // Always apply reranking + ContextObservations: 100, + ContextFullCount: 25, + ContextSessionCount: 10, + ContextShowReadTokens: true, + ContextShowWorkTokens: true, + ContextFullField: "narrative", + ContextShowLastSummary: true, + ContextObsTypes: DefaultObservationTypes, + ContextObsConcepts: DefaultObservationConcepts, + ContextRelevanceThreshold: 0.3, // Minimum 30% similarity to include + ContextMaxPromptResults: 10, // Cap at 10 results max (0 = no cap, threshold only) } } @@ -166,6 +190,28 @@ func Load() (*Config, error) { if v, ok := settings["CLAUDE_CODE_PATH"].(string); ok { cfg.ClaudeCodePath = v } + if v, ok := settings["CLAUDE_MNEMONIC_EMBEDDING_MODEL"].(string); ok && v != "" { + cfg.EmbeddingModel = v + } + // Reranking settings + if v, ok := settings["CLAUDE_MNEMONIC_RERANKING_ENABLED"].(bool); ok { + cfg.RerankingEnabled = v + } + if v, ok := settings["CLAUDE_MNEMONIC_RERANKING_CANDIDATES"].(float64); ok && v > 0 { + cfg.RerankingCandidates = int(v) + } + if v, ok := settings["CLAUDE_MNEMONIC_RERANKING_RESULTS"].(float64); ok && v > 0 { + cfg.RerankingResults = int(v) + } + if v, ok := settings["CLAUDE_MNEMONIC_RERANKING_ALPHA"].(float64); ok && v >= 0 && v <= 1 { + cfg.RerankingAlpha = v + } + if v, ok := settings["CLAUDE_MNEMONIC_RERANKING_MIN_IMPROVEMENT"].(float64); ok && v >= 0 { + cfg.RerankingMinImprovement = v + } + if v, ok := settings["CLAUDE_MNEMONIC_RERANKING_PURE_MODE"].(bool); ok { + cfg.RerankingPureMode = v + } if v, ok := settings["CLAUDE_MNEMONIC_CONTEXT_OBSERVATIONS"].(float64); ok { cfg.ContextObservations = int(v) } @@ -181,6 +227,12 @@ func Load() (*Config, error) { if v, ok := settings["CLAUDE_MNEMONIC_CONTEXT_OBS_CONCEPTS"].(string); ok && v != "" { cfg.ContextObsConcepts = splitTrim(v) } + if v, ok := settings["CLAUDE_MNEMONIC_CONTEXT_RELEVANCE_THRESHOLD"].(float64); ok && v >= 0 && v <= 1 { + cfg.ContextRelevanceThreshold = v + } + if v, ok := settings["CLAUDE_MNEMONIC_CONTEXT_MAX_PROMPT_RESULTS"].(float64); ok && v >= 0 { + cfg.ContextMaxPromptResults = int(v) + } return cfg, nil } diff --git a/internal/db/sqlite/conflict.go b/internal/db/sqlite/conflict.go new file mode 100644 index 0000000..4cd6673 --- /dev/null +++ b/internal/db/sqlite/conflict.go @@ -0,0 +1,276 @@ +// Package sqlite provides SQLite database operations for claude-mnemonic. +package sqlite + +import ( + "context" + "time" + + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// SupersededRetentionDays is the number of days to keep superseded observations before deletion. +const SupersededRetentionDays = 3 + +// ConflictStore provides conflict-related database operations. +type ConflictStore struct { + store *Store +} + +// NewConflictStore creates a new conflict store. +func NewConflictStore(store *Store) *ConflictStore { + return &ConflictStore{store: store} +} + +// StoreConflict stores a new observation conflict. +func (s *ConflictStore) StoreConflict(ctx context.Context, conflict *models.ObservationConflict) (int64, error) { + const query = ` + INSERT INTO observation_conflicts + (newer_obs_id, older_obs_id, conflict_type, resolution, reason, detected_at, detected_at_epoch, resolved, resolved_at) + VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?) + ` + + result, err := s.store.ExecContext(ctx, query, + conflict.NewerObsID, conflict.OlderObsID, + string(conflict.ConflictType), string(conflict.Resolution), + conflict.Reason, conflict.DetectedAt, conflict.DetectedAtEpoch, + conflict.Resolved, conflict.ResolvedAt, + ) + if err != nil { + return 0, err + } + + return result.LastInsertId() +} + +// MarkObservationSuperseded marks an observation as superseded. +func (s *ConflictStore) MarkObservationSuperseded(ctx context.Context, obsID int64) error { + const query = `UPDATE observations SET is_superseded = 1 WHERE id = ?` + _, err := s.store.ExecContext(ctx, query, obsID) + return err +} + +// MarkObservationsSuperseded marks multiple observations as superseded. +func (s *ConflictStore) MarkObservationsSuperseded(ctx context.Context, obsIDs []int64) error { + if len(obsIDs) == 0 { + return nil + } + + query := `UPDATE observations SET is_superseded = 1 WHERE id IN (?` + repeatPlaceholders(len(obsIDs)-1) + `)` // #nosec G202 -- uses parameterized placeholders + args := int64SliceToInterface(obsIDs) + _, err := s.store.db.ExecContext(ctx, query, args...) + return err +} + +// GetConflictsByObservationID retrieves all conflicts involving an observation. +func (s *ConflictStore) GetConflictsByObservationID(ctx context.Context, obsID int64) ([]*models.ObservationConflict, error) { + const query = ` + SELECT id, newer_obs_id, older_obs_id, conflict_type, resolution, reason, + detected_at, detected_at_epoch, resolved, resolved_at + FROM observation_conflicts + WHERE newer_obs_id = ? OR older_obs_id = ? + ORDER BY detected_at_epoch DESC + ` + + rows, err := s.store.QueryContext(ctx, query, obsID, obsID) + if err != nil { + return nil, err + } + defer rows.Close() + + return s.scanConflictRows(rows) +} + +// GetUnresolvedConflicts retrieves all unresolved conflicts. +func (s *ConflictStore) GetUnresolvedConflicts(ctx context.Context, limit int) ([]*models.ObservationConflict, error) { + const query = ` + SELECT id, newer_obs_id, older_obs_id, conflict_type, resolution, reason, + detected_at, detected_at_epoch, resolved, resolved_at + FROM observation_conflicts + WHERE resolved = 0 + ORDER BY detected_at_epoch DESC + LIMIT ? + ` + + rows, err := s.store.QueryContext(ctx, query, limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return s.scanConflictRows(rows) +} + +// GetSupersededObservationIDs returns IDs of all observations that have been superseded. +func (s *ConflictStore) GetSupersededObservationIDs(ctx context.Context, project string) ([]int64, error) { + const query = ` + SELECT DISTINCT older_obs_id + FROM observation_conflicts oc + JOIN observations o ON o.id = oc.older_obs_id + WHERE oc.resolution = 'prefer_newer' + AND (o.project = ? OR o.scope = 'global') + ` + + rows, err := s.store.QueryContext(ctx, query, project) + if err != nil { + return nil, err + } + defer rows.Close() + + var ids []int64 + for rows.Next() { + var id int64 + if err := rows.Scan(&id); err != nil { + return nil, err + } + ids = append(ids, id) + } + return ids, rows.Err() +} + +// ResolveConflict marks a conflict as resolved. +func (s *ConflictStore) ResolveConflict(ctx context.Context, conflictID int64, resolution models.ConflictResolution) error { + now := time.Now().Format(time.RFC3339) + const query = ` + UPDATE observation_conflicts + SET resolved = 1, resolved_at = ?, resolution = ? + WHERE id = ? + ` + _, err := s.store.ExecContext(ctx, query, now, string(resolution), conflictID) + return err +} + +// DeleteConflictsByObservationID deletes all conflicts involving an observation. +// Called when an observation is deleted. +func (s *ConflictStore) DeleteConflictsByObservationID(ctx context.Context, obsID int64) error { + const query = `DELETE FROM observation_conflicts WHERE newer_obs_id = ? OR older_obs_id = ?` + _, err := s.store.ExecContext(ctx, query, obsID, obsID) + return err +} + +// ConflictWithDetails contains a conflict with its observation details. +type ConflictWithDetails struct { + Conflict *models.ObservationConflict + NewerObsTitle string + OlderObsTitle string +} + +// CleanupSupersededObservations deletes observations that have been superseded for longer than +// SupersededRetentionDays. Returns the IDs of deleted observations for downstream cleanup (e.g., vector DB). +func (s *ConflictStore) CleanupSupersededObservations(ctx context.Context, project string) ([]int64, error) { + // Calculate cutoff time (3 days ago in milliseconds) + cutoffEpoch := time.Now().AddDate(0, 0, -SupersededRetentionDays).UnixMilli() + + // First, find the IDs that will be deleted + // We delete observations that: + // 1. Are marked as superseded + // 2. Have a conflict record where they are the older observation + // 3. The conflict was detected more than 3 days ago + const selectQuery = ` + SELECT DISTINCT o.id FROM observations o + JOIN observation_conflicts oc ON o.id = oc.older_obs_id + WHERE o.is_superseded = 1 + AND o.project = ? + AND oc.detected_at_epoch < ? + ` + + rows, err := s.store.QueryContext(ctx, selectQuery, project, cutoffEpoch) + if err != nil { + return nil, err + } + defer rows.Close() + + var toDelete []int64 + for rows.Next() { + var id int64 + if err := rows.Scan(&id); err != nil { + return nil, err + } + toDelete = append(toDelete, id) + } + if err := rows.Err(); err != nil { + return nil, err + } + + if len(toDelete) == 0 { + return nil, nil + } + + // Delete the conflict records first (due to foreign key constraints) + for _, obsID := range toDelete { + if err := s.DeleteConflictsByObservationID(ctx, obsID); err != nil { + return nil, err + } + } + + // Delete the observations + deleteQuery := `DELETE FROM observations WHERE id IN (?` + repeatPlaceholders(len(toDelete)-1) + `)` // #nosec G202 -- uses parameterized placeholders + args := int64SliceToInterface(toDelete) + _, err = s.store.db.ExecContext(ctx, deleteQuery, args...) + if err != nil { + return nil, err + } + + return toDelete, nil +} + +// GetConflictsWithDetails retrieves all conflicts with observation titles for display. +func (s *ConflictStore) GetConflictsWithDetails(ctx context.Context, project string, limit int) ([]*ConflictWithDetails, error) { + const query = ` + SELECT oc.id, oc.newer_obs_id, oc.older_obs_id, oc.conflict_type, oc.resolution, oc.reason, + oc.detected_at, oc.detected_at_epoch, oc.resolved, oc.resolved_at, + COALESCE(newer.title, '') as newer_title, + COALESCE(older.title, '') as older_title + FROM observation_conflicts oc + JOIN observations newer ON newer.id = oc.newer_obs_id + JOIN observations older ON older.id = oc.older_obs_id + WHERE newer.project = ? OR older.project = ? + ORDER BY oc.detected_at_epoch DESC + LIMIT ? + ` + + rows, err := s.store.QueryContext(ctx, query, project, project, limit) + if err != nil { + return nil, err + } + defer rows.Close() + + var results []*ConflictWithDetails + for rows.Next() { + var c models.ObservationConflict + var cwd ConflictWithDetails + if err := rows.Scan( + &c.ID, &c.NewerObsID, &c.OlderObsID, + &c.ConflictType, &c.Resolution, &c.Reason, + &c.DetectedAt, &c.DetectedAtEpoch, + &c.Resolved, &c.ResolvedAt, + &cwd.NewerObsTitle, &cwd.OlderObsTitle, + ); err != nil { + return nil, err + } + cwd.Conflict = &c + results = append(results, &cwd) + } + return results, rows.Err() +} + +// scanConflictRows scans multiple conflicts from rows. +func (s *ConflictStore) scanConflictRows(rows interface { + Next() bool + Scan(...interface{}) error + Err() error +}) ([]*models.ObservationConflict, error) { + var conflicts []*models.ObservationConflict + for rows.Next() { + var c models.ObservationConflict + if err := rows.Scan( + &c.ID, &c.NewerObsID, &c.OlderObsID, + &c.ConflictType, &c.Resolution, &c.Reason, + &c.DetectedAt, &c.DetectedAtEpoch, + &c.Resolved, &c.ResolvedAt, + ); err != nil { + return nil, err + } + conflicts = append(conflicts, &c) + } + return conflicts, rows.Err() +} diff --git a/internal/db/sqlite/migrations.go b/internal/db/sqlite/migrations.go index 1d5483f..0bb3bc6 100644 --- a/internal/db/sqlite/migrations.go +++ b/internal/db/sqlite/migrations.go @@ -283,6 +283,213 @@ var Migrations = []Migration{ ON user_prompts(claude_session_id, prompt_number); `, }, + { + Version: 19, + Name: "vectors_with_model_version", + SQL: ` + -- Drop old vectors table (virtual tables cannot be altered) + DROP TABLE IF EXISTS vectors; + + -- Recreate vectors table with model_version column + -- Uses bge-small-en-v1.5 embeddings (384 dimensions) + CREATE VIRTUAL TABLE IF NOT EXISTS vectors USING vec0( + doc_id TEXT PRIMARY KEY, + embedding float[384], + sqlite_id INTEGER, + doc_type TEXT, + field_type TEXT, + project TEXT, + scope TEXT, + model_version TEXT + ); + `, + }, + { + Version: 20, + Name: "importance_scoring", + SQL: ` + -- Importance scoring system for observations + -- Implements multi-factor scoring: type weight, recency decay, user feedback, concept weights, retrieval boost + + -- Cached importance score (recalculated periodically) + ALTER TABLE observations ADD COLUMN importance_score REAL DEFAULT 1.0; + + -- User feedback: -1 = thumbs down, 0 = neutral, 1 = thumbs up + ALTER TABLE observations ADD COLUMN user_feedback INTEGER DEFAULT 0; + + -- Retrieval tracking: how many times this observation was returned in searches + ALTER TABLE observations ADD COLUMN retrieval_count INTEGER DEFAULT 0; + + -- Last time this observation was retrieved (for analytics) + ALTER TABLE observations ADD COLUMN last_retrieved_at_epoch INTEGER; + + -- Timestamp of last score recalculation + ALTER TABLE observations ADD COLUMN score_updated_at_epoch INTEGER; + + -- Index for importance-based sorting (primary ordering strategy) + CREATE INDEX IF NOT EXISTS idx_observations_importance + ON observations(importance_score DESC, created_at_epoch DESC); + + -- Index for finding observations needing score recalculation + CREATE INDEX IF NOT EXISTS idx_observations_score_updated + ON observations(score_updated_at_epoch); + + -- Configurable concept weights table + -- Allows runtime tuning of how much each concept contributes to importance + CREATE TABLE IF NOT EXISTS concept_weights ( + concept TEXT PRIMARY KEY, + weight REAL NOT NULL DEFAULT 0.1, + updated_at TEXT NOT NULL + ); + + -- Seed default concept weights (security highest, tooling lowest) + INSERT OR IGNORE INTO concept_weights (concept, weight, updated_at) VALUES + ('security', 0.30, datetime('now')), + ('gotcha', 0.25, datetime('now')), + ('best-practice', 0.20, datetime('now')), + ('anti-pattern', 0.20, datetime('now')), + ('architecture', 0.15, datetime('now')), + ('performance', 0.15, datetime('now')), + ('error-handling', 0.15, datetime('now')), + ('pattern', 0.10, datetime('now')), + ('testing', 0.10, datetime('now')), + ('debugging', 0.10, datetime('now')), + ('workflow', 0.05, datetime('now')), + ('tooling', 0.05, datetime('now')); + `, + }, + { + Version: 21, + Name: "observation_conflicts", + SQL: ` + -- Observation conflicts table for tracking contradictions and superseded observations + -- Implements Issue #5: Contradiction & Obsolescence Detection + CREATE TABLE IF NOT EXISTS observation_conflicts ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + newer_obs_id INTEGER NOT NULL, + older_obs_id INTEGER NOT NULL, + conflict_type TEXT NOT NULL CHECK(conflict_type IN ('superseded', 'contradicts', 'outdated_pattern')), + resolution TEXT NOT NULL CHECK(resolution IN ('prefer_newer', 'prefer_older', 'manual')), + reason TEXT, + detected_at TEXT NOT NULL, + detected_at_epoch INTEGER NOT NULL, + resolved INTEGER DEFAULT 0, + resolved_at TEXT, + FOREIGN KEY(newer_obs_id) REFERENCES observations(id) ON DELETE CASCADE, + FOREIGN KEY(older_obs_id) REFERENCES observations(id) ON DELETE CASCADE + ); + + -- Index for looking up conflicts by observation ID + CREATE INDEX IF NOT EXISTS idx_conflicts_newer ON observation_conflicts(newer_obs_id); + CREATE INDEX IF NOT EXISTS idx_conflicts_older ON observation_conflicts(older_obs_id); + CREATE INDEX IF NOT EXISTS idx_conflicts_unresolved ON observation_conflicts(resolved, detected_at_epoch DESC); + + -- Add is_superseded column to observations for quick filtering + -- Set to 1 when this observation has been superseded by a newer one + ALTER TABLE observations ADD COLUMN is_superseded INTEGER DEFAULT 0; + + -- Index for filtering out superseded observations in queries + CREATE INDEX IF NOT EXISTS idx_observations_superseded ON observations(is_superseded, importance_score DESC); + `, + }, + { + Version: 22, + Name: "patterns_table", + SQL: ` + -- Pattern Recognition Engine (Issue #7) + -- Tracks recurring patterns detected across observations + -- Enables Claude to reference historical insights: "I've encountered this pattern 12 times." + CREATE TABLE IF NOT EXISTS patterns ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + name TEXT NOT NULL, + type TEXT NOT NULL CHECK(type IN ('bug', 'refactor', 'architecture', 'anti-pattern', 'best-practice')), + description TEXT, + signature TEXT, -- JSON array of keywords/concepts for detection + recommendation TEXT, -- What works for this pattern + frequency INTEGER DEFAULT 1, -- How many times encountered + projects TEXT, -- JSON array of projects where seen + observation_ids TEXT, -- JSON array of source observation IDs + status TEXT DEFAULT 'active' CHECK(status IN ('active', 'deprecated', 'merged')), + merged_into_id INTEGER, -- If status is 'merged', which pattern it merged into + confidence REAL DEFAULT 0.5, -- Detection confidence (0.0-1.0) + last_seen_at TEXT NOT NULL, + last_seen_at_epoch INTEGER NOT NULL, + created_at TEXT NOT NULL, + created_at_epoch INTEGER NOT NULL, + FOREIGN KEY(merged_into_id) REFERENCES patterns(id) ON DELETE SET NULL + ); + + -- Indexes for efficient pattern queries + CREATE INDEX IF NOT EXISTS idx_patterns_type ON patterns(type); + CREATE INDEX IF NOT EXISTS idx_patterns_status ON patterns(status); + CREATE INDEX IF NOT EXISTS idx_patterns_frequency ON patterns(frequency DESC); + CREATE INDEX IF NOT EXISTS idx_patterns_confidence ON patterns(confidence DESC); + CREATE INDEX IF NOT EXISTS idx_patterns_last_seen ON patterns(last_seen_at_epoch DESC); + + -- FTS5 virtual table for pattern search + CREATE VIRTUAL TABLE IF NOT EXISTS patterns_fts USING fts5( + name, description, recommendation, + content='patterns', + content_rowid='id' + ); + + -- Triggers for FTS5 sync + CREATE TRIGGER IF NOT EXISTS patterns_ai AFTER INSERT ON patterns BEGIN + INSERT INTO patterns_fts(rowid, name, description, recommendation) + VALUES (new.id, new.name, new.description, new.recommendation); + END; + + CREATE TRIGGER IF NOT EXISTS patterns_ad AFTER DELETE ON patterns BEGIN + INSERT INTO patterns_fts(patterns_fts, rowid, name, description, recommendation) + VALUES('delete', old.id, old.name, old.description, old.recommendation); + END; + + CREATE TRIGGER IF NOT EXISTS patterns_au AFTER UPDATE ON patterns BEGIN + INSERT INTO patterns_fts(patterns_fts, rowid, name, description, recommendation) + VALUES('delete', old.id, old.name, old.description, old.recommendation); + INSERT INTO patterns_fts(rowid, name, description, recommendation) + VALUES (new.id, new.name, new.description, new.recommendation); + END; + `, + }, + { + Version: 23, + Name: "observation_relations", + SQL: ` + -- Knowledge Graph: Observation Relations (Issue #4) + -- Tracks explicit relationships between observations for knowledge graph navigation. + -- Enables queries like "What caused this bug?" or "What depends on this decision?" + CREATE TABLE IF NOT EXISTS observation_relations ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + source_id INTEGER NOT NULL, + target_id INTEGER NOT NULL, + relation_type TEXT NOT NULL CHECK(relation_type IN ('causes', 'fixes', 'supersedes', 'depends_on', 'relates_to', 'evolves_from')), + confidence REAL NOT NULL DEFAULT 0.5, + detection_source TEXT NOT NULL CHECK(detection_source IN ('file_overlap', 'embedding_similarity', 'temporal_proximity', 'narrative_mention', 'concept_overlap', 'type_progression')), + reason TEXT, + created_at TEXT NOT NULL, + created_at_epoch INTEGER NOT NULL, + FOREIGN KEY(source_id) REFERENCES observations(id) ON DELETE CASCADE, + FOREIGN KEY(target_id) REFERENCES observations(id) ON DELETE CASCADE, + UNIQUE(source_id, target_id, relation_type) + ); + + -- Index for finding relations by source observation + CREATE INDEX IF NOT EXISTS idx_relations_source ON observation_relations(source_id); + + -- Index for finding relations by target observation + CREATE INDEX IF NOT EXISTS idx_relations_target ON observation_relations(target_id); + + -- Index for relation type queries + CREATE INDEX IF NOT EXISTS idx_relations_type ON observation_relations(relation_type); + + -- Index for confidence-based filtering + CREATE INDEX IF NOT EXISTS idx_relations_confidence ON observation_relations(confidence DESC); + + -- Index for finding all relations involving an observation (either direction) + CREATE INDEX IF NOT EXISTS idx_relations_both ON observation_relations(source_id, target_id); + `, + }, } // MigrationManager handles database schema migrations. diff --git a/internal/db/sqlite/observation.go b/internal/db/sqlite/observation.go index d95085f..78f56ef 100644 --- a/internal/db/sqlite/observation.go +++ b/internal/db/sqlite/observation.go @@ -11,14 +11,27 @@ import ( "github.com/lukaszraczylo/claude-mnemonic/pkg/models" ) +// observationColumns is the standard list of columns to select for observations. +// This ensures consistency across all observation queries and includes importance scoring fields. +const observationColumns = `id, sdk_session_id, project, COALESCE(scope, 'project') as scope, type, + title, subtitle, facts, narrative, concepts, files_read, files_modified, file_mtimes, + prompt_number, discovery_tokens, created_at, created_at_epoch, + COALESCE(importance_score, 1.0) as importance_score, + COALESCE(user_feedback, 0) as user_feedback, + COALESCE(retrieval_count, 0) as retrieval_count, + last_retrieved_at_epoch, score_updated_at_epoch, + COALESCE(is_superseded, 0) as is_superseded` + // CleanupFunc is a callback for when observations are cleaned up. // Receives the IDs of deleted observations for downstream cleanup (e.g., vector DB). type CleanupFunc func(ctx context.Context, deletedIDs []int64) // ObservationStore provides observation-related database operations. type ObservationStore struct { - store *Store - cleanupFunc CleanupFunc + store *Store + cleanupFunc CleanupFunc + conflictStore *ConflictStore + relationStore *RelationStore } // NewObservationStore creates a new observation store. @@ -31,6 +44,16 @@ func (s *ObservationStore) SetCleanupFunc(fn CleanupFunc) { s.cleanupFunc = fn } +// SetConflictStore sets the conflict store for conflict detection. +func (s *ObservationStore) SetConflictStore(conflictStore *ConflictStore) { + s.conflictStore = conflictStore +} + +// SetRelationStore sets the relation store for relationship detection. +func (s *ObservationStore) SetRelationStore(relationStore *RelationStore) { + s.relationStore = relationStore +} + // StoreObservation stores a new observation. func (s *ObservationStore) StoreObservation(ctx context.Context, sdkSessionID, project string, obs *models.ParsedObservation, promptNumber int, discoveryTokens int64) (int64, int64, error) { now := time.Now() @@ -86,9 +109,112 @@ func (s *ObservationStore) StoreObservation(ctx context.Context, sdkSessionID, p }(project) } + // Detect conflicts with existing observations (async to not block handler) + if s.conflictStore != nil && project != "" { + go func(newObsID int64, proj string, parsedObs *models.ParsedObservation) { + conflictCtx, cancel := context.WithTimeout(context.Background(), 10*time.Second) + defer cancel() + s.detectAndStoreConflicts(conflictCtx, newObsID, proj, parsedObs) + }(id, project, obs) + } + + // Detect relationships with existing observations (async to not block handler) + if s.relationStore != nil && project != "" { + go func(newObsID int64, proj string) { + relationCtx, cancel := context.WithTimeout(context.Background(), 10*time.Second) + defer cancel() + s.detectAndStoreRelations(relationCtx, newObsID, proj) + }(id, project) + } + return id, nowEpoch, nil } +// detectAndStoreConflicts detects conflicts between a new observation and existing ones. +func (s *ObservationStore) detectAndStoreConflicts(ctx context.Context, newObsID int64, project string, parsedObs *models.ParsedObservation) { + // Fetch the newly stored observation + newObs, err := s.GetObservationByID(ctx, newObsID) + if err != nil || newObs == nil { + return + } + + // Fetch recent observations from the same project to check for conflicts + existing, err := s.GetRecentObservations(ctx, project, 50) + if err != nil { + return + } + + // Detect conflicts + conflicts := models.DetectConflictsWithExisting(newObs, existing) + + // Store conflicts and mark superseded observations + var supersededIDs []int64 + for _, result := range conflicts { + for _, olderID := range result.OlderObsIDs { + conflict := models.NewObservationConflict( + newObsID, olderID, + result.Type, result.Resolution, result.Reason, + ) + if _, err := s.conflictStore.StoreConflict(ctx, conflict); err != nil { + continue + } + + // If resolution is to prefer newer, mark older as superseded + if result.Resolution == models.ResolutionPreferNewer { + supersededIDs = append(supersededIDs, olderID) + } + } + } + + // Mark superseded observations + if len(supersededIDs) > 0 { + _ = s.conflictStore.MarkObservationsSuperseded(ctx, supersededIDs) + } + + // Cleanup old superseded observations (older than 3 days) + deletedIDs, _ := s.conflictStore.CleanupSupersededObservations(ctx, project) + if len(deletedIDs) > 0 && s.cleanupFunc != nil { + s.cleanupFunc(ctx, deletedIDs) + } +} + +// MinRelationConfidence is the minimum confidence threshold for storing relations. +const MinRelationConfidence = 0.4 + +// detectAndStoreRelations detects relationships between a new observation and existing ones. +func (s *ObservationStore) detectAndStoreRelations(ctx context.Context, newObsID int64, project string) { + // Fetch the newly stored observation + newObs, err := s.GetObservationByID(ctx, newObsID) + if err != nil || newObs == nil { + return + } + + // Fetch recent observations from the same project to check for relations + existing, err := s.GetRecentObservations(ctx, project, 50) + if err != nil { + return + } + + // Detect relationships using the models package detection logic + results := models.DetectRelationsWithExisting(newObs, existing, MinRelationConfidence) + if len(results) == 0 { + return + } + + // Convert detection results to relation objects + relations := make([]*models.ObservationRelation, len(results)) + for i, r := range results { + relations[i] = models.NewObservationRelation( + r.SourceID, r.TargetID, + r.RelationType, r.Confidence, + r.DetectionSource, r.Reason, + ) + } + + // Store all relations + _ = s.relationStore.StoreRelations(ctx, relations) +} + // ensureSessionExists creates a session if it doesn't exist. func (s *ObservationStore) ensureSessionExists(ctx context.Context, sdkSessionID, project string) error { return EnsureSessionExists(ctx, s.store, sdkSessionID, project) @@ -96,13 +222,7 @@ func (s *ObservationStore) ensureSessionExists(ctx context.Context, sdkSessionID // GetObservationByID retrieves an observation by ID. func (s *ObservationStore) GetObservationByID(ctx context.Context, id int64) (*models.Observation, error) { - const query = ` - SELECT id, sdk_session_id, project, COALESCE(scope, 'project') as scope, type, title, subtitle, facts, narrative, - concepts, files_read, files_modified, file_mtimes, prompt_number, discovery_tokens, - created_at, created_at_epoch - FROM observations - WHERE id = ? - ` + query := `SELECT ` + observationColumns + ` FROM observations WHERE id = ?` obs, err := scanObservation(s.store.QueryRowContext(ctx, query, id)) if err == sql.ErrNoRows { @@ -112,6 +232,7 @@ func (s *ObservationStore) GetObservationByID(ctx context.Context, id int64) (*m } // GetObservationsByIDs retrieves observations by a list of IDs. +// Results are ordered by importance_score DESC by default, with created_at_epoch as secondary sort. func (s *ObservationStore) GetObservationsByIDs(ctx context.Context, ids []int64, orderBy string, limit int) ([]*models.Observation, error) { if len(ids) == 0 { return nil, nil @@ -119,18 +240,22 @@ func (s *ObservationStore) GetObservationsByIDs(ctx context.Context, ids []int64 // Build query with placeholders // #nosec G202 -- query uses parameterized placeholders, not user input - query := ` - SELECT id, sdk_session_id, project, COALESCE(scope, 'project') as scope, type, title, subtitle, facts, narrative, - concepts, files_read, files_modified, file_mtimes, prompt_number, discovery_tokens, - created_at, created_at_epoch + query := `SELECT ` + observationColumns + ` FROM observations WHERE id IN (?` + repeatPlaceholders(len(ids)-1) + `) - ORDER BY created_at_epoch ` + ORDER BY ` - if orderBy == "date_asc" { - query += "ASC" - } else { - query += "DESC" + // Default to importance-based ordering + switch orderBy { + case "date_asc": + query += "created_at_epoch ASC" + case "date_desc": + query += "created_at_epoch DESC" + case "importance": + query += "importance_score DESC, created_at_epoch DESC" + default: + // Default: importance first, then recency + query += "COALESCE(importance_score, 1.0) DESC, created_at_epoch DESC" } if limit > 0 { @@ -154,14 +279,56 @@ func (s *ObservationStore) GetObservationsByIDs(ctx context.Context, ids []int64 // GetRecentObservations retrieves recent observations for a project. // This includes project-scoped observations for the specified project AND global observations. +// Results are ordered by importance_score DESC, then created_at_epoch DESC. func (s *ObservationStore) GetRecentObservations(ctx context.Context, project string, limit int) ([]*models.Observation, error) { - const query = ` - SELECT id, sdk_session_id, project, COALESCE(scope, 'project') as scope, type, title, subtitle, facts, narrative, - concepts, files_read, files_modified, file_mtimes, prompt_number, discovery_tokens, - created_at, created_at_epoch + query := `SELECT ` + observationColumns + ` FROM observations WHERE (project = ? AND (scope IS NULL OR scope = 'project')) OR scope = 'global' + ORDER BY COALESCE(importance_score, 1.0) DESC, created_at_epoch DESC + LIMIT ? + ` + + rows, err := s.store.QueryContext(ctx, query, project, limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanObservationRows(rows) +} + +// GetActiveObservations retrieves recent non-superseded observations for a project. +// This excludes observations that have been marked as superseded by newer ones. +// Use this for context injection where you want to avoid outdated/contradicted advice. +// Results are ordered by importance_score DESC, then created_at_epoch DESC. +func (s *ObservationStore) GetActiveObservations(ctx context.Context, project string, limit int) ([]*models.Observation, error) { + query := `SELECT ` + observationColumns + ` + FROM observations + WHERE ((project = ? AND (scope IS NULL OR scope = 'project')) + OR scope = 'global') + AND COALESCE(is_superseded, 0) = 0 + ORDER BY COALESCE(importance_score, 1.0) DESC, created_at_epoch DESC + LIMIT ? + ` + + rows, err := s.store.QueryContext(ctx, query, project, limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanObservationRows(rows) +} + +// GetSupersededObservations retrieves observations that have been superseded by newer ones. +// Use this for verification/debugging to see which observations were marked as outdated. +// Results are ordered by created_at_epoch DESC. +func (s *ObservationStore) GetSupersededObservations(ctx context.Context, project string, limit int) ([]*models.Observation, error) { + query := `SELECT ` + observationColumns + ` + FROM observations + WHERE project = ? + AND COALESCE(is_superseded, 0) = 1 ORDER BY created_at_epoch DESC LIMIT ? ` @@ -178,14 +345,12 @@ func (s *ObservationStore) GetRecentObservations(ctx context.Context, project st // GetObservationsByProjectStrict retrieves observations strictly for a specific project. // Unlike GetRecentObservations, this does NOT include global observations from other projects. // Use this for dashboard filtering where the user expects to see only that project's data. +// Results are ordered by importance_score DESC, then created_at_epoch DESC. func (s *ObservationStore) GetObservationsByProjectStrict(ctx context.Context, project string, limit int) ([]*models.Observation, error) { - const query = ` - SELECT id, sdk_session_id, project, COALESCE(scope, 'project') as scope, type, title, subtitle, facts, narrative, - concepts, files_read, files_modified, file_mtimes, prompt_number, discovery_tokens, - created_at, created_at_epoch + query := `SELECT ` + observationColumns + ` FROM observations WHERE project = ? - ORDER BY created_at_epoch DESC + ORDER BY COALESCE(importance_score, 1.0) DESC, created_at_epoch DESC LIMIT ? ` @@ -210,13 +375,11 @@ func (s *ObservationStore) GetObservationCount(ctx context.Context, project stri } // GetAllRecentObservations retrieves recent observations across all projects. +// Results are ordered by importance_score DESC, then created_at_epoch DESC. func (s *ObservationStore) GetAllRecentObservations(ctx context.Context, limit int) ([]*models.Observation, error) { - const query = ` - SELECT id, sdk_session_id, project, COALESCE(scope, 'project') as scope, type, title, subtitle, facts, narrative, - concepts, files_read, files_modified, file_mtimes, prompt_number, discovery_tokens, - created_at, created_at_epoch + query := `SELECT ` + observationColumns + ` FROM observations - ORDER BY created_at_epoch DESC + ORDER BY COALESCE(importance_score, 1.0) DESC, created_at_epoch DESC LIMIT ? ` @@ -229,7 +392,24 @@ func (s *ObservationStore) GetAllRecentObservations(ctx context.Context, limit i return scanObservationRows(rows) } +// GetAllObservations retrieves all observations (for vector rebuild). +func (s *ObservationStore) GetAllObservations(ctx context.Context) ([]*models.Observation, error) { + query := `SELECT ` + observationColumns + ` + FROM observations + ORDER BY id + ` + + rows, err := s.store.QueryContext(ctx, query) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanObservationRows(rows) +} + // SearchObservationsFTS performs full-text search on observations. +// Results are ordered by FTS rank (relevance), then by importance_score. func (s *ObservationStore) SearchObservationsFTS(ctx context.Context, query, project string, limit int) ([]*models.Observation, error) { if limit <= 0 { limit = 10 @@ -245,15 +425,21 @@ func (s *ObservationStore) SearchObservationsFTS(ctx context.Context, query, pro ftsTerms := strings.Join(keywords, " OR ") // Use FTS5 to search title, subtitle, and narrative - const ftsQuery = ` + // Include importance scoring columns and order by rank then importance + ftsQuery := ` SELECT o.id, o.sdk_session_id, o.project, COALESCE(o.scope, 'project') as scope, o.type, o.title, o.subtitle, o.facts, o.narrative, o.concepts, o.files_read, o.files_modified, - o.file_mtimes, o.prompt_number, o.discovery_tokens, o.created_at, o.created_at_epoch + o.file_mtimes, o.prompt_number, o.discovery_tokens, o.created_at, o.created_at_epoch, + COALESCE(o.importance_score, 1.0) as importance_score, + COALESCE(o.user_feedback, 0) as user_feedback, + COALESCE(o.retrieval_count, 0) as retrieval_count, + o.last_retrieved_at_epoch, o.score_updated_at_epoch, + COALESCE(o.is_superseded, 0) as is_superseded FROM observations o JOIN observations_fts fts ON o.id = fts.rowid WHERE observations_fts MATCH ? AND (o.project = ? OR o.scope = 'global') - ORDER BY rank + ORDER BY rank, COALESCE(o.importance_score, 1.0) DESC LIMIT ? ` @@ -278,6 +464,7 @@ func (s *ObservationStore) SearchObservationsFTS(ctx context.Context, query, pro } // searchObservationsLike performs fallback LIKE search on observations. +// Results are ordered by importance_score DESC, then created_at_epoch DESC. func (s *ObservationStore) searchObservationsLike(ctx context.Context, keywords []string, project string, limit int) ([]*models.Observation, error) { if len(keywords) == 0 { return nil, nil @@ -294,14 +481,11 @@ func (s *ObservationStore) searchObservationsLike(ctx context.Context, keywords } // #nosec G202 -- query uses parameterized placeholders, not user input - query := ` - SELECT id, sdk_session_id, project, COALESCE(scope, 'project') as scope, type, - title, subtitle, facts, narrative, concepts, files_read, files_modified, - file_mtimes, prompt_number, discovery_tokens, created_at, created_at_epoch + query := `SELECT ` + observationColumns + ` FROM observations WHERE (` + strings.Join(conditions, " OR ") + `) AND (project = ? OR scope = 'global') - ORDER BY created_at_epoch DESC + ORDER BY COALESCE(importance_score, 1.0) DESC, created_at_epoch DESC LIMIT ? ` args = append(args, project, limit) @@ -445,6 +629,11 @@ func scanObservation(scanner interface{ Scan(...interface{}) error }) (*models.O &obs.Concepts, &obs.FilesRead, &obs.FilesModified, &obs.FileMtimes, &obs.PromptNumber, &obs.DiscoveryTokens, &obs.CreatedAt, &obs.CreatedAtEpoch, + // Importance scoring fields + &obs.ImportanceScore, &obs.UserFeedback, &obs.RetrievalCount, + &obs.LastRetrievedAt, &obs.ScoreUpdatedAt, + // Conflict detection fields + &obs.IsSuperseded, ); err != nil { return nil, err } diff --git a/internal/db/sqlite/pattern.go b/internal/db/sqlite/pattern.go new file mode 100644 index 0000000..f5a950c --- /dev/null +++ b/internal/db/sqlite/pattern.go @@ -0,0 +1,370 @@ +// Package sqlite provides SQLite database operations for claude-mnemonic. +package sqlite + +import ( + "context" + "database/sql" + "encoding/json" + "time" + + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// patternColumns is the standard list of columns to select for patterns. +const patternColumns = `id, name, type, description, signature, recommendation, + frequency, projects, observation_ids, status, merged_into_id, confidence, + last_seen_at, last_seen_at_epoch, created_at, created_at_epoch` + +// PatternCleanupFunc is a callback for when patterns are deleted. +type PatternCleanupFunc func(ctx context.Context, deletedIDs []int64) + +// PatternStore provides pattern-related database operations. +type PatternStore struct { + store *Store + cleanupFunc PatternCleanupFunc +} + +// NewPatternStore creates a new pattern store. +func NewPatternStore(store *Store) *PatternStore { + return &PatternStore{store: store} +} + +// SetCleanupFunc sets the callback for when patterns are deleted. +func (s *PatternStore) SetCleanupFunc(fn PatternCleanupFunc) { + s.cleanupFunc = fn +} + +// StorePattern stores a new pattern. +func (s *PatternStore) StorePattern(ctx context.Context, pattern *models.Pattern) (int64, error) { + signatureJSON, _ := json.Marshal(pattern.Signature) + projectsJSON, _ := json.Marshal(pattern.Projects) + obsIDsJSON, _ := json.Marshal(pattern.ObservationIDs) + + const query = ` + INSERT INTO patterns + (name, type, description, signature, recommendation, frequency, projects, + observation_ids, status, merged_into_id, confidence, + last_seen_at, last_seen_at_epoch, created_at, created_at_epoch) + VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) + ` + + result, err := s.store.ExecContext(ctx, query, + pattern.Name, string(pattern.Type), + nullString(pattern.Description.String), string(signatureJSON), + nullString(pattern.Recommendation.String), + pattern.Frequency, string(projectsJSON), string(obsIDsJSON), + string(pattern.Status), nullInt64(pattern.MergedIntoID), + pattern.Confidence, pattern.LastSeenAt, pattern.LastSeenEpoch, + pattern.CreatedAt, pattern.CreatedAtEpoch, + ) + if err != nil { + return 0, err + } + + return result.LastInsertId() +} + +// UpdatePattern updates an existing pattern. +func (s *PatternStore) UpdatePattern(ctx context.Context, pattern *models.Pattern) error { + signatureJSON, _ := json.Marshal(pattern.Signature) + projectsJSON, _ := json.Marshal(pattern.Projects) + obsIDsJSON, _ := json.Marshal(pattern.ObservationIDs) + + const query = ` + UPDATE patterns SET + name = ?, type = ?, description = ?, signature = ?, recommendation = ?, + frequency = ?, projects = ?, observation_ids = ?, status = ?, + merged_into_id = ?, confidence = ?, last_seen_at = ?, last_seen_at_epoch = ? + WHERE id = ? + ` + + _, err := s.store.ExecContext(ctx, query, + pattern.Name, string(pattern.Type), + nullString(pattern.Description.String), string(signatureJSON), + nullString(pattern.Recommendation.String), + pattern.Frequency, string(projectsJSON), string(obsIDsJSON), + string(pattern.Status), nullInt64(pattern.MergedIntoID), + pattern.Confidence, pattern.LastSeenAt, pattern.LastSeenEpoch, + pattern.ID, + ) + return err +} + +// GetPatternByID retrieves a pattern by ID. +func (s *PatternStore) GetPatternByID(ctx context.Context, id int64) (*models.Pattern, error) { + query := `SELECT ` + patternColumns + ` FROM patterns WHERE id = ?` + + row := s.store.QueryRowContext(ctx, query, id) + return scanPattern(row) +} + +// GetPatternByName retrieves a pattern by name. +func (s *PatternStore) GetPatternByName(ctx context.Context, name string) (*models.Pattern, error) { + query := `SELECT ` + patternColumns + ` FROM patterns WHERE name = ? AND status = 'active'` + + row := s.store.QueryRowContext(ctx, query, name) + pattern, err := scanPattern(row) + if err == sql.ErrNoRows { + return nil, nil + } + return pattern, err +} + +// GetActivePatterns retrieves all active patterns. +func (s *PatternStore) GetActivePatterns(ctx context.Context, limit int) ([]*models.Pattern, error) { + query := `SELECT ` + patternColumns + ` + FROM patterns + WHERE status = 'active' + ORDER BY frequency DESC, confidence DESC + LIMIT ?` + + rows, err := s.store.QueryContext(ctx, query, limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanPatternRows(rows) +} + +// GetPatternsByType retrieves patterns of a specific type. +func (s *PatternStore) GetPatternsByType(ctx context.Context, patternType models.PatternType, limit int) ([]*models.Pattern, error) { + query := `SELECT ` + patternColumns + ` + FROM patterns + WHERE type = ? AND status = 'active' + ORDER BY frequency DESC, confidence DESC + LIMIT ?` + + rows, err := s.store.QueryContext(ctx, query, string(patternType), limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanPatternRows(rows) +} + +// GetPatternsByProject retrieves patterns that have been observed in a specific project. +func (s *PatternStore) GetPatternsByProject(ctx context.Context, project string, limit int) ([]*models.Pattern, error) { + // Use JSON path to search within the projects array + query := `SELECT ` + patternColumns + ` + FROM patterns + WHERE status = 'active' + AND EXISTS ( + SELECT 1 FROM json_each(projects) + WHERE json_each.value = ? + ) + ORDER BY frequency DESC, confidence DESC + LIMIT ?` + + rows, err := s.store.QueryContext(ctx, query, project, limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanPatternRows(rows) +} + +// FindMatchingPatterns searches for patterns that match a given signature. +func (s *PatternStore) FindMatchingPatterns(ctx context.Context, signature []string, minScore float64) ([]*models.Pattern, error) { + // Get all active patterns and filter by signature match in Go + // This is simpler than complex SQL for JSON array matching + patterns, err := s.GetActivePatterns(ctx, 100) + if err != nil { + return nil, err + } + + var matches []*models.Pattern + for _, pattern := range patterns { + score := models.CalculateMatchScore(signature, pattern.Signature) + if score >= minScore { + matches = append(matches, pattern) + } + } + return matches, nil +} + +// MarkPatternDeprecated marks a pattern as deprecated. +func (s *PatternStore) MarkPatternDeprecated(ctx context.Context, id int64) error { + const query = `UPDATE patterns SET status = 'deprecated' WHERE id = ?` + _, err := s.store.ExecContext(ctx, query, id) + return err +} + +// MergePatterns merges a source pattern into a target pattern. +func (s *PatternStore) MergePatterns(ctx context.Context, sourceID, targetID int64) error { + // Get both patterns + source, err := s.GetPatternByID(ctx, sourceID) + if err != nil { + return err + } + target, err := s.GetPatternByID(ctx, targetID) + if err != nil { + return err + } + + // Merge source into target + target.Frequency += source.Frequency + for _, proj := range source.Projects { + found := false + for _, existing := range target.Projects { + if existing == proj { + found = true + break + } + } + if !found { + target.Projects = append(target.Projects, proj) + } + } + for _, obsID := range source.ObservationIDs { + found := false + for _, existing := range target.ObservationIDs { + if existing == obsID { + found = true + break + } + } + if !found { + target.ObservationIDs = append(target.ObservationIDs, obsID) + } + } + + // Update target + if err := s.UpdatePattern(ctx, target); err != nil { + return err + } + + // Mark source as merged + source.Status = models.PatternStatusMerged + source.MergedIntoID = sql.NullInt64{Int64: targetID, Valid: true} + return s.UpdatePattern(ctx, source) +} + +// DeletePattern deletes a pattern by ID. +func (s *PatternStore) DeletePattern(ctx context.Context, id int64) error { + const query = `DELETE FROM patterns WHERE id = ?` + _, err := s.store.ExecContext(ctx, query, id) + if err == nil && s.cleanupFunc != nil { + s.cleanupFunc(ctx, []int64{id}) + } + return err +} + +// SearchPatternsFTS performs full-text search on patterns. +func (s *PatternStore) SearchPatternsFTS(ctx context.Context, searchQuery string, limit int) ([]*models.Pattern, error) { + query := `SELECT p.` + patternColumns + ` + FROM patterns p + JOIN patterns_fts fts ON p.id = fts.rowid + WHERE patterns_fts MATCH ? + AND p.status = 'active' + ORDER BY rank + LIMIT ?` + + rows, err := s.store.QueryContext(ctx, query, searchQuery, limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanPatternRows(rows) +} + +// GetPatternStats returns statistics about patterns. +func (s *PatternStore) GetPatternStats(ctx context.Context) (*PatternStats, error) { + const query = ` + SELECT + COUNT(*) as total, + COUNT(CASE WHEN status = 'active' THEN 1 END) as active, + COUNT(CASE WHEN status = 'deprecated' THEN 1 END) as deprecated, + COUNT(CASE WHEN status = 'merged' THEN 1 END) as merged, + COALESCE(SUM(frequency), 0) as total_occurrences, + COALESCE(AVG(confidence), 0) as avg_confidence, + COUNT(CASE WHEN type = 'bug' THEN 1 END) as bugs, + COUNT(CASE WHEN type = 'refactor' THEN 1 END) as refactors, + COUNT(CASE WHEN type = 'architecture' THEN 1 END) as architectures, + COUNT(CASE WHEN type = 'anti-pattern' THEN 1 END) as anti_patterns, + COUNT(CASE WHEN type = 'best-practice' THEN 1 END) as best_practices + FROM patterns + ` + + var stats PatternStats + err := s.store.QueryRowContext(ctx, query).Scan( + &stats.Total, &stats.Active, &stats.Deprecated, &stats.Merged, + &stats.TotalOccurrences, &stats.AvgConfidence, + &stats.Bugs, &stats.Refactors, &stats.Architectures, + &stats.AntiPatterns, &stats.BestPractices, + ) + return &stats, err +} + +// PatternStats contains aggregate statistics about patterns. +type PatternStats struct { + Total int `json:"total"` + Active int `json:"active"` + Deprecated int `json:"deprecated"` + Merged int `json:"merged"` + TotalOccurrences int `json:"total_occurrences"` + AvgConfidence float64 `json:"avg_confidence"` + Bugs int `json:"bugs"` + Refactors int `json:"refactors"` + Architectures int `json:"architectures"` + AntiPatterns int `json:"anti_patterns"` + BestPractices int `json:"best_practices"` +} + +// scanPattern scans a single pattern from a row scanner. +func scanPattern(scanner interface{ Scan(...interface{}) error }) (*models.Pattern, error) { + var pattern models.Pattern + if err := scanner.Scan( + &pattern.ID, &pattern.Name, &pattern.Type, + &pattern.Description, &pattern.Signature, &pattern.Recommendation, + &pattern.Frequency, &pattern.Projects, &pattern.ObservationIDs, + &pattern.Status, &pattern.MergedIntoID, &pattern.Confidence, + &pattern.LastSeenAt, &pattern.LastSeenEpoch, + &pattern.CreatedAt, &pattern.CreatedAtEpoch, + ); err != nil { + return nil, err + } + return &pattern, nil +} + +// scanPatternRows scans multiple patterns from rows. +func scanPatternRows(rows *sql.Rows) ([]*models.Pattern, error) { + var patterns []*models.Pattern + for rows.Next() { + pattern, err := scanPattern(rows) + if err != nil { + return nil, err + } + patterns = append(patterns, pattern) + } + return patterns, rows.Err() +} + +// nullInt64 converts sql.NullInt64 to the value needed for database insertion. +func nullInt64(n sql.NullInt64) interface{} { + if n.Valid { + return n.Int64 + } + return nil +} + +// IncrementPatternFrequency atomically increments a pattern's frequency and updates last_seen. +func (s *PatternStore) IncrementPatternFrequency(ctx context.Context, id int64, project string, observationID int64) error { + now := time.Now() + + // Get current pattern + pattern, err := s.GetPatternByID(ctx, id) + if err != nil { + return err + } + + // Add occurrence + pattern.AddOccurrence(project, observationID) + pattern.LastSeenAt = now.Format(time.RFC3339) + pattern.LastSeenEpoch = now.UnixMilli() + + return s.UpdatePattern(ctx, pattern) +} diff --git a/internal/db/sqlite/pattern_test.go b/internal/db/sqlite/pattern_test.go new file mode 100644 index 0000000..08aa5db --- /dev/null +++ b/internal/db/sqlite/pattern_test.go @@ -0,0 +1,507 @@ +package sqlite + +import ( + "context" + "database/sql" + "testing" + "time" + + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// setupPatternTestStore creates a test store with patterns table. +func setupPatternTestStore(t *testing.T) *Store { + t.Helper() + db, _, cleanup := testDB(t) + t.Cleanup(cleanup) + createBaseTables(t, db) + return newStoreFromDB(db) +} + +func TestPatternStore_StoreAndGet(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create test pattern + pattern := &models.Pattern{ + Name: "Test Pattern", + Type: models.PatternTypeBug, + Description: sql.NullString{String: "A test pattern", Valid: true}, + Signature: []string{"nil", "error"}, + Recommendation: sql.NullString{String: "Always check for nil", Valid: true}, + Frequency: 1, + Projects: []string{"project1"}, + ObservationIDs: []int64{1, 2}, + Status: models.PatternStatusActive, + Confidence: 0.5, + LastSeenAt: time.Now().Format(time.RFC3339), + LastSeenEpoch: time.Now().UnixMilli(), + CreatedAt: time.Now().Format(time.RFC3339), + CreatedAtEpoch: time.Now().UnixMilli(), + } + + // Store pattern + id, err := patternStore.StorePattern(ctx, pattern) + if err != nil { + t.Fatalf("StorePattern() error = %v", err) + } + if id <= 0 { + t.Errorf("Expected positive ID, got %d", id) + } + + // Get pattern by ID + retrieved, err := patternStore.GetPatternByID(ctx, id) + if err != nil { + t.Fatalf("GetPatternByID() error = %v", err) + } + + if retrieved.Name != pattern.Name { + t.Errorf("Expected name %s, got %s", pattern.Name, retrieved.Name) + } + if retrieved.Type != pattern.Type { + t.Errorf("Expected type %s, got %s", pattern.Type, retrieved.Type) + } + if len(retrieved.Signature) != len(pattern.Signature) { + t.Errorf("Expected %d signature elements, got %d", + len(pattern.Signature), len(retrieved.Signature)) + } +} + +func TestPatternStore_GetByName(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + pattern := createTestPattern("Unique Name Pattern") + _, err := patternStore.StorePattern(ctx, pattern) + if err != nil { + t.Fatalf("StorePattern() error = %v", err) + } + + // Get by name + retrieved, err := patternStore.GetPatternByName(ctx, "Unique Name Pattern") + if err != nil { + t.Fatalf("GetPatternByName() error = %v", err) + } + if retrieved == nil { + t.Fatal("Expected pattern, got nil") + } + if retrieved.Name != "Unique Name Pattern" { + t.Errorf("Expected name 'Unique Name Pattern', got '%s'", retrieved.Name) + } + + // Get non-existent pattern + nonExistent, err := patternStore.GetPatternByName(ctx, "Non Existent") + if err != nil { + t.Fatalf("GetPatternByName() error = %v", err) + } + if nonExistent != nil { + t.Errorf("Expected nil for non-existent pattern, got %v", nonExistent) + } +} + +func TestPatternStore_GetActivePatterns(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create multiple patterns with different statuses + active1 := createTestPattern("Active 1") + active1.Frequency = 5 + active2 := createTestPattern("Active 2") + active2.Frequency = 3 + deprecated := createTestPattern("Deprecated") + deprecated.Status = models.PatternStatusDeprecated + + patternStore.StorePattern(ctx, active1) + patternStore.StorePattern(ctx, active2) + patternStore.StorePattern(ctx, deprecated) + + // Get active patterns + patterns, err := patternStore.GetActivePatterns(ctx, 10) + if err != nil { + t.Fatalf("GetActivePatterns() error = %v", err) + } + + if len(patterns) != 2 { + t.Errorf("Expected 2 active patterns, got %d", len(patterns)) + } + + // Check order (should be by frequency descending) + if len(patterns) >= 2 { + if patterns[0].Frequency < patterns[1].Frequency { + t.Errorf("Patterns not ordered by frequency descending") + } + } +} + +func TestPatternStore_GetPatternsByType(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create patterns of different types + bugPattern := createTestPattern("Bug Pattern") + bugPattern.Type = models.PatternTypeBug + + refactorPattern := createTestPattern("Refactor Pattern") + refactorPattern.Type = models.PatternTypeRefactor + + patternStore.StorePattern(ctx, bugPattern) + patternStore.StorePattern(ctx, refactorPattern) + + // Get by type + bugs, err := patternStore.GetPatternsByType(ctx, models.PatternTypeBug, 10) + if err != nil { + t.Fatalf("GetPatternsByType() error = %v", err) + } + if len(bugs) != 1 { + t.Errorf("Expected 1 bug pattern, got %d", len(bugs)) + } + + refactors, err := patternStore.GetPatternsByType(ctx, models.PatternTypeRefactor, 10) + if err != nil { + t.Fatalf("GetPatternsByType() error = %v", err) + } + if len(refactors) != 1 { + t.Errorf("Expected 1 refactor pattern, got %d", len(refactors)) + } +} + +func TestPatternStore_GetPatternsByProject(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create patterns with different projects + pattern1 := createTestPattern("Pattern 1") + pattern1.Projects = []string{"project-a", "project-b"} + + pattern2 := createTestPattern("Pattern 2") + pattern2.Projects = []string{"project-b", "project-c"} + + patternStore.StorePattern(ctx, pattern1) + patternStore.StorePattern(ctx, pattern2) + + // Get by project + projectA, err := patternStore.GetPatternsByProject(ctx, "project-a", 10) + if err != nil { + t.Fatalf("GetPatternsByProject() error = %v", err) + } + if len(projectA) != 1 { + t.Errorf("Expected 1 pattern for project-a, got %d", len(projectA)) + } + + projectB, err := patternStore.GetPatternsByProject(ctx, "project-b", 10) + if err != nil { + t.Fatalf("GetPatternsByProject() error = %v", err) + } + if len(projectB) != 2 { + t.Errorf("Expected 2 patterns for project-b, got %d", len(projectB)) + } +} + +func TestPatternStore_UpdatePattern(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create and store pattern + pattern := createTestPattern("Original Name") + id, _ := patternStore.StorePattern(ctx, pattern) + + // Update pattern + pattern.ID = id + pattern.Name = "Updated Name" + pattern.Frequency = 10 + pattern.Confidence = 0.9 + + err := patternStore.UpdatePattern(ctx, pattern) + if err != nil { + t.Fatalf("UpdatePattern() error = %v", err) + } + + // Verify update + updated, _ := patternStore.GetPatternByID(ctx, id) + if updated.Name != "Updated Name" { + t.Errorf("Expected name 'Updated Name', got '%s'", updated.Name) + } + if updated.Frequency != 10 { + t.Errorf("Expected frequency 10, got %d", updated.Frequency) + } + if updated.Confidence != 0.9 { + t.Errorf("Expected confidence 0.9, got %f", updated.Confidence) + } +} + +func TestPatternStore_DeletePattern(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create and store pattern + pattern := createTestPattern("To Delete") + id, _ := patternStore.StorePattern(ctx, pattern) + + // Delete pattern + err := patternStore.DeletePattern(ctx, id) + if err != nil { + t.Fatalf("DeletePattern() error = %v", err) + } + + // Verify deletion + deleted, err := patternStore.GetPatternByID(ctx, id) + if err != sql.ErrNoRows { + t.Errorf("Expected ErrNoRows, got %v", err) + } + if deleted != nil { + t.Errorf("Expected nil for deleted pattern") + } +} + +func TestPatternStore_MarkPatternDeprecated(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create and store pattern + pattern := createTestPattern("To Deprecate") + id, _ := patternStore.StorePattern(ctx, pattern) + + // Mark as deprecated + err := patternStore.MarkPatternDeprecated(ctx, id) + if err != nil { + t.Fatalf("MarkPatternDeprecated() error = %v", err) + } + + // Verify status + deprecated, _ := patternStore.GetPatternByID(ctx, id) + if deprecated.Status != models.PatternStatusDeprecated { + t.Errorf("Expected status 'deprecated', got '%s'", deprecated.Status) + } +} + +func TestPatternStore_MergePatterns(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create source and target patterns + source := createTestPattern("Source Pattern") + source.Frequency = 3 + source.Projects = []string{"proj1", "proj2"} + source.ObservationIDs = []int64{1, 2, 3} + + target := createTestPattern("Target Pattern") + target.Frequency = 2 + target.Projects = []string{"proj2", "proj3"} + target.ObservationIDs = []int64{4, 5} + + sourceID, _ := patternStore.StorePattern(ctx, source) + targetID, _ := patternStore.StorePattern(ctx, target) + + // Merge + err := patternStore.MergePatterns(ctx, sourceID, targetID) + if err != nil { + t.Fatalf("MergePatterns() error = %v", err) + } + + // Verify source is marked as merged + mergedSource, _ := patternStore.GetPatternByID(ctx, sourceID) + if mergedSource.Status != models.PatternStatusMerged { + t.Errorf("Expected source status 'merged', got '%s'", mergedSource.Status) + } + if !mergedSource.MergedIntoID.Valid || mergedSource.MergedIntoID.Int64 != targetID { + t.Errorf("Expected source merged_into_id to be %d", targetID) + } + + // Verify target has combined data + mergedTarget, _ := patternStore.GetPatternByID(ctx, targetID) + expectedFrequency := 5 // 3 + 2 + if mergedTarget.Frequency != expectedFrequency { + t.Errorf("Expected merged frequency %d, got %d", expectedFrequency, mergedTarget.Frequency) + } + // Should have 3 unique projects: proj1, proj2, proj3 + if len(mergedTarget.Projects) != 3 { + t.Errorf("Expected 3 projects after merge, got %d", len(mergedTarget.Projects)) + } + // Should have 5 observation IDs + if len(mergedTarget.ObservationIDs) != 5 { + t.Errorf("Expected 5 observation IDs after merge, got %d", len(mergedTarget.ObservationIDs)) + } +} + +func TestPatternStore_FindMatchingPatterns(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create patterns with known signatures + pattern1 := createTestPattern("Pattern 1") + pattern1.Signature = []string{"nil", "error", "handling"} + + pattern2 := createTestPattern("Pattern 2") + pattern2.Signature = []string{"nil", "pointer", "check"} + + pattern3 := createTestPattern("Pattern 3") + pattern3.Signature = []string{"refactor", "extract", "method"} + + patternStore.StorePattern(ctx, pattern1) + patternStore.StorePattern(ctx, pattern2) + patternStore.StorePattern(ctx, pattern3) + + // Find patterns matching "nil" related signature + matches, err := patternStore.FindMatchingPatterns(ctx, []string{"nil", "error"}, 0.3) + if err != nil { + t.Fatalf("FindMatchingPatterns() error = %v", err) + } + + if len(matches) < 1 { + t.Errorf("Expected at least 1 match, got %d", len(matches)) + } + + // Verify no match for unrelated signature + noMatches, err := patternStore.FindMatchingPatterns(ctx, []string{"completely", "different"}, 0.5) + if err != nil { + t.Fatalf("FindMatchingPatterns() error = %v", err) + } + if len(noMatches) != 0 { + t.Errorf("Expected 0 matches for unrelated signature, got %d", len(noMatches)) + } +} + +func TestPatternStore_IncrementPatternFrequency(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create pattern + pattern := createTestPattern("Frequency Test") + pattern.Frequency = 1 + pattern.Projects = []string{"proj1"} + pattern.ObservationIDs = []int64{1} + + id, _ := patternStore.StorePattern(ctx, pattern) + + // Increment frequency + err := patternStore.IncrementPatternFrequency(ctx, id, "proj2", 2) + if err != nil { + t.Fatalf("IncrementPatternFrequency() error = %v", err) + } + + // Verify + updated, _ := patternStore.GetPatternByID(ctx, id) + if updated.Frequency != 2 { + t.Errorf("Expected frequency 2, got %d", updated.Frequency) + } + if len(updated.Projects) != 2 { + t.Errorf("Expected 2 projects, got %d", len(updated.Projects)) + } + if len(updated.ObservationIDs) != 2 { + t.Errorf("Expected 2 observation IDs, got %d", len(updated.ObservationIDs)) + } +} + +func TestPatternStore_GetPatternStats(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + // Create patterns with different types and statuses + bug := createTestPattern("Bug") + bug.Type = models.PatternTypeBug + bug.Frequency = 5 + + refactor := createTestPattern("Refactor") + refactor.Type = models.PatternTypeRefactor + refactor.Frequency = 3 + + deprecated := createTestPattern("Deprecated") + deprecated.Type = models.PatternTypeArchitecture + deprecated.Status = models.PatternStatusDeprecated + + patternStore.StorePattern(ctx, bug) + patternStore.StorePattern(ctx, refactor) + patternStore.StorePattern(ctx, deprecated) + + // Get stats + stats, err := patternStore.GetPatternStats(ctx) + if err != nil { + t.Fatalf("GetPatternStats() error = %v", err) + } + + if stats.Total != 3 { + t.Errorf("Expected total 3, got %d", stats.Total) + } + if stats.Active != 2 { + t.Errorf("Expected 2 active, got %d", stats.Active) + } + if stats.Deprecated != 1 { + t.Errorf("Expected 1 deprecated, got %d", stats.Deprecated) + } + if stats.Bugs != 1 { + t.Errorf("Expected 1 bug, got %d", stats.Bugs) + } + if stats.Refactors != 1 { + t.Errorf("Expected 1 refactor, got %d", stats.Refactors) + } + if stats.TotalOccurrences != 9 { // 5 + 3 + 1 + t.Errorf("Expected 9 total occurrences, got %d", stats.TotalOccurrences) + } +} + +func TestPatternStore_CleanupCallback(t *testing.T) { + store := setupPatternTestStore(t) + + patternStore := NewPatternStore(store) + ctx := context.Background() + + var deletedIDs []int64 + patternStore.SetCleanupFunc(func(ctx context.Context, ids []int64) { + deletedIDs = ids + }) + + // Create and delete pattern + pattern := createTestPattern("Cleanup Test") + id, _ := patternStore.StorePattern(ctx, pattern) + + patternStore.DeletePattern(ctx, id) + + if len(deletedIDs) != 1 || deletedIDs[0] != id { + t.Errorf("Expected cleanup callback with ID %d, got %v", id, deletedIDs) + } +} + +// Helper function to create a test pattern +func createTestPattern(name string) *models.Pattern { + now := time.Now() + return &models.Pattern{ + Name: name, + Type: models.PatternTypeBug, + Description: sql.NullString{String: "Test description", Valid: true}, + Signature: []string{"test", "pattern"}, + Recommendation: sql.NullString{String: "Test recommendation", Valid: true}, + Frequency: 1, + Projects: []string{"test-project"}, + ObservationIDs: []int64{1}, + Status: models.PatternStatusActive, + Confidence: 0.5, + LastSeenAt: now.Format(time.RFC3339), + LastSeenEpoch: now.UnixMilli(), + CreatedAt: now.Format(time.RFC3339), + CreatedAtEpoch: now.UnixMilli(), + } +} diff --git a/internal/db/sqlite/prompt.go b/internal/db/sqlite/prompt.go index 978bb68..2d44661 100644 --- a/internal/db/sqlite/prompt.go +++ b/internal/db/sqlite/prompt.go @@ -199,6 +199,28 @@ func (s *PromptStore) GetAllRecentUserPrompts(ctx context.Context, limit int) ([ return scanPromptWithSessionRows(rows) } +// GetAllPrompts retrieves all user prompts (for vector rebuild). +func (s *PromptStore) GetAllPrompts(ctx context.Context) ([]*models.UserPromptWithSession, error) { + const query = ` + SELECT up.id, up.claude_session_id, up.prompt_number, up.prompt_text, + COALESCE(up.matched_observations, 0) as matched_observations, + up.created_at, up.created_at_epoch, + COALESCE(s.project, '') as project, + COALESCE(s.sdk_session_id, '') as sdk_session_id + FROM user_prompts up + LEFT JOIN sdk_sessions s ON up.claude_session_id = s.claude_session_id + ORDER BY up.id + ` + + rows, err := s.store.QueryContext(ctx, query) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanPromptWithSessionRows(rows) +} + // FindRecentPromptByText finds a prompt with the same text for a session within the last few seconds. // This is used to detect duplicate hook invocations. // Returns (promptID, promptNumber, found). diff --git a/internal/db/sqlite/relation.go b/internal/db/sqlite/relation.go new file mode 100644 index 0000000..f76c3f6 --- /dev/null +++ b/internal/db/sqlite/relation.go @@ -0,0 +1,377 @@ +// Package sqlite provides SQLite database operations for claude-mnemonic. +package sqlite + +import ( + "context" + "database/sql" + + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// RelationStore provides relation-related database operations. +type RelationStore struct { + store *Store +} + +// NewRelationStore creates a new relation store. +func NewRelationStore(store *Store) *RelationStore { + return &RelationStore{store: store} +} + +// StoreRelation stores a new observation relation. +// Uses INSERT OR IGNORE to handle duplicate (source_id, target_id, relation_type) combinations. +func (s *RelationStore) StoreRelation(ctx context.Context, relation *models.ObservationRelation) (int64, error) { + const query = ` + INSERT OR IGNORE INTO observation_relations + (source_id, target_id, relation_type, confidence, detection_source, reason, created_at, created_at_epoch) + VALUES (?, ?, ?, ?, ?, ?, ?, ?) + ` + + result, err := s.store.ExecContext(ctx, query, + relation.SourceID, relation.TargetID, + string(relation.RelationType), relation.Confidence, + string(relation.DetectionSource), relation.Reason, + relation.CreatedAt, relation.CreatedAtEpoch, + ) + if err != nil { + return 0, err + } + + return result.LastInsertId() +} + +// StoreRelations stores multiple relations in a single transaction. +func (s *RelationStore) StoreRelations(ctx context.Context, relations []*models.ObservationRelation) error { + if len(relations) == 0 { + return nil + } + + tx, err := s.store.db.BeginTx(ctx, nil) + if err != nil { + return err + } + defer func() { + if err != nil { + _ = tx.Rollback() + } + }() + + const query = ` + INSERT OR IGNORE INTO observation_relations + (source_id, target_id, relation_type, confidence, detection_source, reason, created_at, created_at_epoch) + VALUES (?, ?, ?, ?, ?, ?, ?, ?) + ` + + stmt, err := tx.PrepareContext(ctx, query) + if err != nil { + return err + } + defer stmt.Close() + + for _, rel := range relations { + _, err = stmt.ExecContext(ctx, + rel.SourceID, rel.TargetID, + string(rel.RelationType), rel.Confidence, + string(rel.DetectionSource), rel.Reason, + rel.CreatedAt, rel.CreatedAtEpoch, + ) + if err != nil { + return err + } + } + + return tx.Commit() +} + +// GetRelationsByObservationID retrieves all relations involving an observation (as source or target). +func (s *RelationStore) GetRelationsByObservationID(ctx context.Context, obsID int64) ([]*models.ObservationRelation, error) { + const query = ` + SELECT id, source_id, target_id, relation_type, confidence, detection_source, reason, + created_at, created_at_epoch + FROM observation_relations + WHERE source_id = ? OR target_id = ? + ORDER BY confidence DESC, created_at_epoch DESC + ` + + rows, err := s.store.QueryContext(ctx, query, obsID, obsID) + if err != nil { + return nil, err + } + defer rows.Close() + + return s.scanRelationRows(rows) +} + +// GetOutgoingRelations retrieves relations where the observation is the source. +func (s *RelationStore) GetOutgoingRelations(ctx context.Context, obsID int64) ([]*models.ObservationRelation, error) { + const query = ` + SELECT id, source_id, target_id, relation_type, confidence, detection_source, reason, + created_at, created_at_epoch + FROM observation_relations + WHERE source_id = ? + ORDER BY confidence DESC, created_at_epoch DESC + ` + + rows, err := s.store.QueryContext(ctx, query, obsID) + if err != nil { + return nil, err + } + defer rows.Close() + + return s.scanRelationRows(rows) +} + +// GetIncomingRelations retrieves relations where the observation is the target. +func (s *RelationStore) GetIncomingRelations(ctx context.Context, obsID int64) ([]*models.ObservationRelation, error) { + const query = ` + SELECT id, source_id, target_id, relation_type, confidence, detection_source, reason, + created_at, created_at_epoch + FROM observation_relations + WHERE target_id = ? + ORDER BY confidence DESC, created_at_epoch DESC + ` + + rows, err := s.store.QueryContext(ctx, query, obsID) + if err != nil { + return nil, err + } + defer rows.Close() + + return s.scanRelationRows(rows) +} + +// GetRelationsByType retrieves all relations of a specific type. +func (s *RelationStore) GetRelationsByType(ctx context.Context, relationType models.RelationType, limit int) ([]*models.ObservationRelation, error) { + const query = ` + SELECT id, source_id, target_id, relation_type, confidence, detection_source, reason, + created_at, created_at_epoch + FROM observation_relations + WHERE relation_type = ? + ORDER BY confidence DESC, created_at_epoch DESC + LIMIT ? + ` + + rows, err := s.store.QueryContext(ctx, query, string(relationType), limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return s.scanRelationRows(rows) +} + +// GetRelationsWithDetails retrieves relations with observation titles for display. +func (s *RelationStore) GetRelationsWithDetails(ctx context.Context, obsID int64) ([]*models.RelationWithDetails, error) { + const query = ` + SELECT r.id, r.source_id, r.target_id, r.relation_type, r.confidence, r.detection_source, r.reason, + r.created_at, r.created_at_epoch, + COALESCE(src.title, '') as source_title, + COALESCE(tgt.title, '') as target_title, + src.type as source_type, + tgt.type as target_type + FROM observation_relations r + JOIN observations src ON src.id = r.source_id + JOIN observations tgt ON tgt.id = r.target_id + WHERE r.source_id = ? OR r.target_id = ? + ORDER BY r.confidence DESC, r.created_at_epoch DESC + ` + + rows, err := s.store.QueryContext(ctx, query, obsID, obsID) + if err != nil { + return nil, err + } + defer rows.Close() + + var results []*models.RelationWithDetails + for rows.Next() { + var r models.ObservationRelation + var rwd models.RelationWithDetails + var reason sql.NullString + if err := rows.Scan( + &r.ID, &r.SourceID, &r.TargetID, + &r.RelationType, &r.Confidence, &r.DetectionSource, &reason, + &r.CreatedAt, &r.CreatedAtEpoch, + &rwd.SourceTitle, &rwd.TargetTitle, + &rwd.SourceType, &rwd.TargetType, + ); err != nil { + return nil, err + } + if reason.Valid { + r.Reason = reason.String + } + rwd.Relation = &r + results = append(results, &rwd) + } + return results, rows.Err() +} + +// GetRelationGraph retrieves a relation graph centered on an observation. +// This returns all observations within N hops from the center. +func (s *RelationStore) GetRelationGraph(ctx context.Context, centerID int64, maxDepth int) (*models.RelationGraph, error) { + // Get all relations involving the center observation + relations, err := s.GetRelationsWithDetails(ctx, centerID) + if err != nil { + return nil, err + } + + graph := &models.RelationGraph{ + CenterID: centerID, + Relations: relations, + } + + // If depth > 1, recursively get relations for connected observations + if maxDepth > 1 { + visited := map[int64]bool{centerID: true} + toVisit := make([]int64, 0) + + // Collect IDs of directly connected observations + for _, r := range relations { + if !visited[r.Relation.SourceID] { + toVisit = append(toVisit, r.Relation.SourceID) + visited[r.Relation.SourceID] = true + } + if !visited[r.Relation.TargetID] { + toVisit = append(toVisit, r.Relation.TargetID) + visited[r.Relation.TargetID] = true + } + } + + // Get relations for connected observations (depth - 1) + for depth := 1; depth < maxDepth && len(toVisit) > 0; depth++ { + nextLevel := make([]int64, 0) + for _, obsID := range toVisit { + moreRelations, err := s.GetRelationsWithDetails(ctx, obsID) + if err != nil { + continue + } + for _, r := range moreRelations { + // Avoid duplicates + exists := false + for _, existing := range graph.Relations { + if existing.Relation.ID == r.Relation.ID { + exists = true + break + } + } + if !exists { + graph.Relations = append(graph.Relations, r) + } + + // Queue next level + if !visited[r.Relation.SourceID] { + nextLevel = append(nextLevel, r.Relation.SourceID) + visited[r.Relation.SourceID] = true + } + if !visited[r.Relation.TargetID] { + nextLevel = append(nextLevel, r.Relation.TargetID) + visited[r.Relation.TargetID] = true + } + } + } + toVisit = nextLevel + } + } + + return graph, nil +} + +// DeleteRelationsByObservationID deletes all relations involving an observation. +// Called when an observation is deleted. +func (s *RelationStore) DeleteRelationsByObservationID(ctx context.Context, obsID int64) error { + const query = `DELETE FROM observation_relations WHERE source_id = ? OR target_id = ?` + _, err := s.store.ExecContext(ctx, query, obsID, obsID) + return err +} + +// GetRelationCount returns the count of relations for an observation. +func (s *RelationStore) GetRelationCount(ctx context.Context, obsID int64) (int, error) { + const query = ` + SELECT COUNT(*) FROM observation_relations + WHERE source_id = ? OR target_id = ? + ` + var count int + err := s.store.QueryRowContext(ctx, query, obsID, obsID).Scan(&count) + return count, err +} + +// GetTotalRelationCount returns the total count of all relations. +func (s *RelationStore) GetTotalRelationCount(ctx context.Context) (int, error) { + const query = `SELECT COUNT(*) FROM observation_relations` + var count int + err := s.store.QueryRowContext(ctx, query).Scan(&count) + return count, err +} + +// GetHighConfidenceRelations retrieves relations with confidence above threshold. +func (s *RelationStore) GetHighConfidenceRelations(ctx context.Context, minConfidence float64, limit int) ([]*models.ObservationRelation, error) { + const query = ` + SELECT id, source_id, target_id, relation_type, confidence, detection_source, reason, + created_at, created_at_epoch + FROM observation_relations + WHERE confidence >= ? + ORDER BY confidence DESC, created_at_epoch DESC + LIMIT ? + ` + + rows, err := s.store.QueryContext(ctx, query, minConfidence, limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return s.scanRelationRows(rows) +} + +// UpdateRelationConfidence updates the confidence of a relation. +func (s *RelationStore) UpdateRelationConfidence(ctx context.Context, relationID int64, newConfidence float64) error { + const query = `UPDATE observation_relations SET confidence = ? WHERE id = ?` + _, err := s.store.ExecContext(ctx, query, newConfidence, relationID) + return err +} + +// GetRelatedObservationIDs returns IDs of observations related to the given one. +// This is useful for expanding search results. +func (s *RelationStore) GetRelatedObservationIDs(ctx context.Context, obsID int64, minConfidence float64) ([]int64, error) { + const query = ` + SELECT DISTINCT CASE WHEN source_id = ? THEN target_id ELSE source_id END as related_id + FROM observation_relations + WHERE (source_id = ? OR target_id = ?) AND confidence >= ? + ` + + rows, err := s.store.QueryContext(ctx, query, obsID, obsID, obsID, minConfidence) + if err != nil { + return nil, err + } + defer rows.Close() + + var ids []int64 + for rows.Next() { + var id int64 + if err := rows.Scan(&id); err != nil { + return nil, err + } + ids = append(ids, id) + } + return ids, rows.Err() +} + +// scanRelationRows scans multiple relations from rows. +func (s *RelationStore) scanRelationRows(rows *sql.Rows) ([]*models.ObservationRelation, error) { + var relations []*models.ObservationRelation + for rows.Next() { + var r models.ObservationRelation + var reason sql.NullString + if err := rows.Scan( + &r.ID, &r.SourceID, &r.TargetID, + &r.RelationType, &r.Confidence, &r.DetectionSource, &reason, + &r.CreatedAt, &r.CreatedAtEpoch, + ); err != nil { + return nil, err + } + if reason.Valid { + r.Reason = reason.String + } + relations = append(relations, &r) + } + return relations, rows.Err() +} diff --git a/internal/db/sqlite/scoring.go b/internal/db/sqlite/scoring.go new file mode 100644 index 0000000..065f1c0 --- /dev/null +++ b/internal/db/sqlite/scoring.go @@ -0,0 +1,324 @@ +// Package sqlite provides SQLite database operations for claude-mnemonic. +package sqlite + +import ( + "context" + "database/sql" + "time" + + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// UpdateObservationFeedback updates the user feedback for an observation. +// Feedback values: -1 (thumbs down), 0 (neutral), 1 (thumbs up). +func (s *ObservationStore) UpdateObservationFeedback(ctx context.Context, id int64, feedback int) error { + const query = ` + UPDATE observations + SET user_feedback = ?, score_updated_at_epoch = ? + WHERE id = ? + ` + _, err := s.store.ExecContext(ctx, query, feedback, time.Now().UnixMilli(), id) + return err +} + +// IncrementRetrievalCount increments the retrieval counter for the given observation IDs. +// This is called when observations are returned in search results. +func (s *ObservationStore) IncrementRetrievalCount(ctx context.Context, ids []int64) error { + if len(ids) == 0 { + return nil + } + + now := time.Now().UnixMilli() + + // Build query with placeholders + // #nosec G202 -- query uses parameterized placeholders, not user input + query := ` + UPDATE observations + SET retrieval_count = COALESCE(retrieval_count, 0) + 1, + last_retrieved_at_epoch = ? + WHERE id IN (?` + repeatPlaceholders(len(ids)-1) + `) + ` + + args := make([]interface{}, 0, len(ids)+1) + args = append(args, now) + for _, id := range ids { + args = append(args, id) + } + + _, err := s.store.db.ExecContext(ctx, query, args...) + return err +} + +// UpdateImportanceScore updates the importance score for a single observation. +func (s *ObservationStore) UpdateImportanceScore(ctx context.Context, id int64, score float64) error { + const query = ` + UPDATE observations + SET importance_score = ?, score_updated_at_epoch = ? + WHERE id = ? + ` + _, err := s.store.ExecContext(ctx, query, score, time.Now().UnixMilli(), id) + return err +} + +// UpdateImportanceScores bulk updates importance scores for multiple observations. +// This is more efficient than individual updates for batch recalculation. +func (s *ObservationStore) UpdateImportanceScores(ctx context.Context, scores map[int64]float64) error { + if len(scores) == 0 { + return nil + } + + tx, err := s.store.db.BeginTx(ctx, nil) + if err != nil { + return err + } + defer tx.Rollback() + + now := time.Now().UnixMilli() + stmt, err := tx.PrepareContext(ctx, ` + UPDATE observations + SET importance_score = ?, score_updated_at_epoch = ? + WHERE id = ? + `) + if err != nil { + return err + } + defer stmt.Close() + + for id, score := range scores { + if _, err := stmt.ExecContext(ctx, score, now, id); err != nil { + return err + } + } + + return tx.Commit() +} + +// GetObservationsNeedingScoreUpdate returns observations that need their importance score recalculated. +// Returns observations where score_updated_at_epoch is NULL or older than the threshold. +func (s *ObservationStore) GetObservationsNeedingScoreUpdate(ctx context.Context, threshold time.Duration, limit int) ([]*models.Observation, error) { + cutoff := time.Now().Add(-threshold).UnixMilli() + + query := `SELECT ` + observationColumns + ` + FROM observations + WHERE score_updated_at_epoch IS NULL OR score_updated_at_epoch < ? + ORDER BY created_at_epoch DESC + LIMIT ? + ` + + rows, err := s.store.QueryContext(ctx, query, cutoff, limit) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanObservationRows(rows) +} + +// GetConceptWeights returns all concept weights from the database. +func (s *ObservationStore) GetConceptWeights(ctx context.Context) (map[string]float64, error) { + const query = `SELECT concept, weight FROM concept_weights` + + rows, err := s.store.QueryContext(ctx, query) + if err != nil { + // Table might not exist in older databases + if err == sql.ErrNoRows { + return models.DefaultConceptWeights, nil + } + return nil, err + } + defer rows.Close() + + weights := make(map[string]float64) + for rows.Next() { + var concept string + var weight float64 + if err := rows.Scan(&concept, &weight); err != nil { + return nil, err + } + weights[concept] = weight + } + + if err := rows.Err(); err != nil { + return nil, err + } + + // If no weights found, use defaults + if len(weights) == 0 { + return models.DefaultConceptWeights, nil + } + + return weights, nil +} + +// UpdateConceptWeight updates a single concept weight. +func (s *ObservationStore) UpdateConceptWeight(ctx context.Context, concept string, weight float64) error { + const query = ` + INSERT INTO concept_weights (concept, weight, updated_at) + VALUES (?, ?, datetime('now')) + ON CONFLICT(concept) DO UPDATE SET weight = excluded.weight, updated_at = excluded.updated_at + ` + _, err := s.store.ExecContext(ctx, query, concept, weight) + return err +} + +// UpdateConceptWeights bulk updates multiple concept weights. +func (s *ObservationStore) UpdateConceptWeights(ctx context.Context, weights map[string]float64) error { + if len(weights) == 0 { + return nil + } + + tx, err := s.store.db.BeginTx(ctx, nil) + if err != nil { + return err + } + defer tx.Rollback() + + stmt, err := tx.PrepareContext(ctx, ` + INSERT INTO concept_weights (concept, weight, updated_at) + VALUES (?, ?, datetime('now')) + ON CONFLICT(concept) DO UPDATE SET weight = excluded.weight, updated_at = excluded.updated_at + `) + if err != nil { + return err + } + defer stmt.Close() + + for concept, weight := range weights { + if _, err := stmt.ExecContext(ctx, concept, weight); err != nil { + return err + } + } + + return tx.Commit() +} + +// GetObservationFeedbackStats returns statistics about user feedback. +func (s *ObservationStore) GetObservationFeedbackStats(ctx context.Context, project string) (*FeedbackStats, error) { + var query string + var args []interface{} + + if project == "" { + query = ` + SELECT + COUNT(*) as total, + COALESCE(SUM(CASE WHEN user_feedback = 1 THEN 1 ELSE 0 END), 0) as positive, + COALESCE(SUM(CASE WHEN user_feedback = -1 THEN 1 ELSE 0 END), 0) as negative, + COALESCE(SUM(CASE WHEN user_feedback = 0 THEN 1 ELSE 0 END), 0) as neutral, + COALESCE(AVG(COALESCE(importance_score, 1.0)), 0) as avg_score, + COALESCE(AVG(COALESCE(retrieval_count, 0)), 0) as avg_retrieval + FROM observations + ` + } else { + query = ` + SELECT + COUNT(*) as total, + COALESCE(SUM(CASE WHEN user_feedback = 1 THEN 1 ELSE 0 END), 0) as positive, + COALESCE(SUM(CASE WHEN user_feedback = -1 THEN 1 ELSE 0 END), 0) as negative, + COALESCE(SUM(CASE WHEN user_feedback = 0 THEN 1 ELSE 0 END), 0) as neutral, + COALESCE(AVG(COALESCE(importance_score, 1.0)), 0) as avg_score, + COALESCE(AVG(COALESCE(retrieval_count, 0)), 0) as avg_retrieval + FROM observations + WHERE project = ? OR scope = 'global' + ` + args = append(args, project) + } + + var stats FeedbackStats + err := s.store.QueryRowContext(ctx, query, args...).Scan( + &stats.Total, + &stats.Positive, + &stats.Negative, + &stats.Neutral, + &stats.AvgScore, + &stats.AvgRetrieval, + ) + if err != nil { + return nil, err + } + + return &stats, nil +} + +// FeedbackStats contains statistics about observation feedback and scoring. +type FeedbackStats struct { + Total int `json:"total"` + Positive int `json:"positive"` + Negative int `json:"negative"` + Neutral int `json:"neutral"` + AvgScore float64 `json:"avg_score"` + AvgRetrieval float64 `json:"avg_retrieval"` +} + +// GetTopScoringObservations returns the highest-scoring observations. +func (s *ObservationStore) GetTopScoringObservations(ctx context.Context, project string, limit int) ([]*models.Observation, error) { + var query string + var args []interface{} + + if project == "" { + query = `SELECT ` + observationColumns + ` + FROM observations + ORDER BY COALESCE(importance_score, 1.0) DESC, created_at_epoch DESC + LIMIT ? + ` + args = append(args, limit) + } else { + query = `SELECT ` + observationColumns + ` + FROM observations + WHERE project = ? OR scope = 'global' + ORDER BY COALESCE(importance_score, 1.0) DESC, created_at_epoch DESC + LIMIT ? + ` + args = append(args, project, limit) + } + + rows, err := s.store.QueryContext(ctx, query, args...) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanObservationRows(rows) +} + +// GetMostRetrievedObservations returns the most frequently retrieved observations. +func (s *ObservationStore) GetMostRetrievedObservations(ctx context.Context, project string, limit int) ([]*models.Observation, error) { + var query string + var args []interface{} + + if project == "" { + query = `SELECT ` + observationColumns + ` + FROM observations + WHERE retrieval_count > 0 + ORDER BY retrieval_count DESC, created_at_epoch DESC + LIMIT ? + ` + args = append(args, limit) + } else { + query = `SELECT ` + observationColumns + ` + FROM observations + WHERE (project = ? OR scope = 'global') AND retrieval_count > 0 + ORDER BY retrieval_count DESC, created_at_epoch DESC + LIMIT ? + ` + args = append(args, project, limit) + } + + rows, err := s.store.QueryContext(ctx, query, args...) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanObservationRows(rows) +} + +// ResetObservationScores resets all observation scores to their default values. +// This is useful for testing or when changing the scoring algorithm. +func (s *ObservationStore) ResetObservationScores(ctx context.Context) error { + const query = ` + UPDATE observations + SET importance_score = 1.0, score_updated_at_epoch = NULL + ` + _, err := s.store.ExecContext(ctx, query) + return err +} diff --git a/internal/db/sqlite/scoring_test.go b/internal/db/sqlite/scoring_test.go new file mode 100644 index 0000000..04cd1a5 --- /dev/null +++ b/internal/db/sqlite/scoring_test.go @@ -0,0 +1,698 @@ +// Package sqlite provides SQLite database operations for claude-mnemonic. +package sqlite + +import ( + "context" + "database/sql" + "testing" + "time" + + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" + "github.com/stretchr/testify/assert" + "github.com/stretchr/testify/require" + "github.com/stretchr/testify/suite" +) + +// testScoringObservationStore creates an ObservationStore with scoring columns for testing. +func testScoringObservationStore(t *testing.T) (*ObservationStore, *Store, func()) { + t.Helper() + + db, _, cleanup := testDB(t) + createBaseTables(t, db) + createConceptWeightsTable(t, db) + + // Add importance index if not exists (columns already in createBaseTables) + if _, err := db.Exec(`CREATE INDEX IF NOT EXISTS idx_observations_importance ON observations(importance_score DESC, created_at_epoch DESC)`); err != nil { + t.Fatalf("create importance index: %v", err) + } + + store := newStoreFromDB(db) + obsStore := NewObservationStore(store) + + return obsStore, store, cleanup +} + +// createConceptWeightsTable creates the concept_weights table for testing. +func createConceptWeightsTable(t *testing.T, db *sql.DB) { + t.Helper() + + _, err := db.Exec(` + CREATE TABLE IF NOT EXISTS concept_weights ( + concept TEXT PRIMARY KEY, + weight REAL NOT NULL DEFAULT 0.1, + updated_at TEXT NOT NULL + ) + `) + if err != nil { + t.Fatalf("create concept_weights: %v", err) + } +} + +// ScoringStoreSuite is a test suite for scoring-related database operations. +type ScoringStoreSuite struct { + suite.Suite + obsStore *ObservationStore + store *Store + cleanup func() + ctx context.Context +} + +func (s *ScoringStoreSuite) SetupTest() { + s.obsStore, s.store, s.cleanup = testScoringObservationStore(s.T()) + s.ctx = context.Background() +} + +func (s *ScoringStoreSuite) TearDownTest() { + if s.cleanup != nil { + s.cleanup() + } +} + +func TestScoringStoreSuite(t *testing.T) { + suite.Run(t, new(ScoringStoreSuite)) +} + +// ============================================================================= +// FEEDBACK TESTS +// ============================================================================= + +func (s *ScoringStoreSuite) TestUpdateObservationFeedback_Positive() { + // Create observation + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + Title: "Test feedback", + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + // Update feedback to positive + err = s.obsStore.UpdateObservationFeedback(s.ctx, id, 1) + s.NoError(err) + + // Verify + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.Equal(1, retrieved.UserFeedback) + s.True(retrieved.ScoreUpdatedAt.Valid) +} + +func (s *ScoringStoreSuite) TestUpdateObservationFeedback_Negative() { + obs := &models.ParsedObservation{ + Type: models.ObsTypeDiscovery, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + err = s.obsStore.UpdateObservationFeedback(s.ctx, id, -1) + s.NoError(err) + + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.Equal(-1, retrieved.UserFeedback) +} + +func (s *ScoringStoreSuite) TestUpdateObservationFeedback_Neutral() { + obs := &models.ParsedObservation{ + Type: models.ObsTypeChange, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + // First set to positive + err = s.obsStore.UpdateObservationFeedback(s.ctx, id, 1) + s.NoError(err) + + // Then reset to neutral + err = s.obsStore.UpdateObservationFeedback(s.ctx, id, 0) + s.NoError(err) + + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.Equal(0, retrieved.UserFeedback) +} + +func (s *ScoringStoreSuite) TestUpdateObservationFeedback_NonExistent() { + // Updating non-existent observation should not fail (just no rows affected) + err := s.obsStore.UpdateObservationFeedback(s.ctx, 99999, 1) + s.NoError(err) +} + +// ============================================================================= +// RETRIEVAL COUNT TESTS +// ============================================================================= + +func (s *ScoringStoreSuite) TestIncrementRetrievalCount_Single() { + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + err = s.obsStore.IncrementRetrievalCount(s.ctx, []int64{id}) + s.NoError(err) + + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.Equal(1, retrieved.RetrievalCount) + s.True(retrieved.LastRetrievedAt.Valid) +} + +func (s *ScoringStoreSuite) TestIncrementRetrievalCount_Multiple() { + var ids []int64 + for i := 0; i < 3; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeDiscovery, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, i, 100) + s.NoError(err) + ids = append(ids, id) + } + + err := s.obsStore.IncrementRetrievalCount(s.ctx, ids) + s.NoError(err) + + for _, id := range ids { + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.Equal(1, retrieved.RetrievalCount) + } +} + +func (s *ScoringStoreSuite) TestIncrementRetrievalCount_Cumulative() { + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + // Increment multiple times + for i := 0; i < 5; i++ { + err = s.obsStore.IncrementRetrievalCount(s.ctx, []int64{id}) + s.NoError(err) + } + + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.Equal(5, retrieved.RetrievalCount) +} + +func (s *ScoringStoreSuite) TestIncrementRetrievalCount_Empty() { + err := s.obsStore.IncrementRetrievalCount(s.ctx, []int64{}) + s.NoError(err) +} + +// ============================================================================= +// IMPORTANCE SCORE TESTS +// ============================================================================= + +func (s *ScoringStoreSuite) TestUpdateImportanceScore_Single() { + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + err = s.obsStore.UpdateImportanceScore(s.ctx, id, 1.5) + s.NoError(err) + + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.InDelta(1.5, retrieved.ImportanceScore, 0.001) +} + +func (s *ScoringStoreSuite) TestUpdateImportanceScores_Batch() { + var ids []int64 + for i := 0; i < 5; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeDiscovery, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, i, 100) + s.NoError(err) + ids = append(ids, id) + } + + scores := map[int64]float64{ + ids[0]: 1.5, + ids[1]: 0.8, + ids[2]: 1.2, + ids[3]: 0.5, + ids[4]: 2.0, + } + + err := s.obsStore.UpdateImportanceScores(s.ctx, scores) + s.NoError(err) + + for id, expectedScore := range scores { + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.InDelta(expectedScore, retrieved.ImportanceScore, 0.001) + } +} + +func (s *ScoringStoreSuite) TestUpdateImportanceScores_Empty() { + err := s.obsStore.UpdateImportanceScores(s.ctx, map[int64]float64{}) + s.NoError(err) +} + +// ============================================================================= +// OBSERVATIONS NEEDING SCORE UPDATE TESTS +// ============================================================================= + +func (s *ScoringStoreSuite) TestGetObservationsNeedingScoreUpdate_NeverUpdated() { + // Observations without score_updated_at_epoch should need update + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + observations, err := s.obsStore.GetObservationsNeedingScoreUpdate(s.ctx, 6*time.Hour, 100) + s.NoError(err) + s.Len(observations, 1) + s.Equal(id, observations[0].ID) +} + +func (s *ScoringStoreSuite) TestGetObservationsNeedingScoreUpdate_RecentlyUpdated() { + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + // Update score (this sets score_updated_at_epoch) + err = s.obsStore.UpdateImportanceScore(s.ctx, id, 1.5) + s.NoError(err) + + // Should not need update (just updated) + observations, err := s.obsStore.GetObservationsNeedingScoreUpdate(s.ctx, 6*time.Hour, 100) + s.NoError(err) + s.Empty(observations) +} + +func (s *ScoringStoreSuite) TestGetObservationsNeedingScoreUpdate_Limit() { + // Create 10 observations + for i := 0; i < 10; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeDiscovery, + } + _, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, i, 100) + s.NoError(err) + } + + // Request only 5 + observations, err := s.obsStore.GetObservationsNeedingScoreUpdate(s.ctx, 6*time.Hour, 5) + s.NoError(err) + s.Len(observations, 5) +} + +// ============================================================================= +// CONCEPT WEIGHTS TESTS +// ============================================================================= + +func (s *ScoringStoreSuite) TestGetConceptWeights_Empty() { + weights, err := s.obsStore.GetConceptWeights(s.ctx) + s.NoError(err) + s.Equal(models.DefaultConceptWeights, weights) +} + +func (s *ScoringStoreSuite) TestUpdateConceptWeight_NewConcept() { + err := s.obsStore.UpdateConceptWeight(s.ctx, "new-concept", 0.42) + s.NoError(err) + + weights, err := s.obsStore.GetConceptWeights(s.ctx) + s.NoError(err) + s.Equal(0.42, weights["new-concept"]) +} + +func (s *ScoringStoreSuite) TestUpdateConceptWeight_UpdateExisting() { + // Insert first + err := s.obsStore.UpdateConceptWeight(s.ctx, "test-concept", 0.1) + s.NoError(err) + + // Update + err = s.obsStore.UpdateConceptWeight(s.ctx, "test-concept", 0.9) + s.NoError(err) + + weights, err := s.obsStore.GetConceptWeights(s.ctx) + s.NoError(err) + s.Equal(0.9, weights["test-concept"]) +} + +func (s *ScoringStoreSuite) TestUpdateConceptWeights_Batch() { + weightsToSet := map[string]float64{ + "security": 0.5, + "performance": 0.3, + "testing": 0.2, + } + + err := s.obsStore.UpdateConceptWeights(s.ctx, weightsToSet) + s.NoError(err) + + retrieved, err := s.obsStore.GetConceptWeights(s.ctx) + s.NoError(err) + + for concept, expected := range weightsToSet { + s.Equal(expected, retrieved[concept]) + } +} + +func (s *ScoringStoreSuite) TestUpdateConceptWeights_Empty() { + err := s.obsStore.UpdateConceptWeights(s.ctx, map[string]float64{}) + s.NoError(err) +} + +// ============================================================================= +// FEEDBACK STATS TESTS +// ============================================================================= + +func (s *ScoringStoreSuite) TestGetObservationFeedbackStats_Empty() { + stats, err := s.obsStore.GetObservationFeedbackStats(s.ctx, "") + s.NoError(err) + s.Equal(0, stats.Total) + s.Equal(0, stats.Positive) + s.Equal(0, stats.Negative) + s.Equal(0, stats.Neutral) +} + +func (s *ScoringStoreSuite) TestGetObservationFeedbackStats_WithData() { + // Create observations with different feedback + feedbacks := []int{1, 1, 1, -1, -1, 0, 0, 0, 0, 0} + for i, fb := range feedbacks { + obs := &models.ParsedObservation{ + Type: models.ObsTypeDiscovery, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, i, 100) + s.NoError(err) + if fb != 0 { + err = s.obsStore.UpdateObservationFeedback(s.ctx, id, fb) + s.NoError(err) + } + } + + stats, err := s.obsStore.GetObservationFeedbackStats(s.ctx, "") + s.NoError(err) + s.Equal(10, stats.Total) + s.Equal(3, stats.Positive) + s.Equal(2, stats.Negative) + s.Equal(5, stats.Neutral) +} + +func (s *ScoringStoreSuite) TestGetObservationFeedbackStats_ByProject() { + // Project A observations + for i := 0; i < 5; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, i, 100) + s.NoError(err) + _ = s.obsStore.UpdateObservationFeedback(s.ctx, id, 1) + } + + // Project B observations + for i := 0; i < 3; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeFeature, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-b", obs, i, 100) + s.NoError(err) + _ = s.obsStore.UpdateObservationFeedback(s.ctx, id, -1) + } + + // Check project A stats + statsA, err := s.obsStore.GetObservationFeedbackStats(s.ctx, "project-a") + s.NoError(err) + s.Equal(5, statsA.Total) + s.Equal(5, statsA.Positive) + + // Check project B stats + statsB, err := s.obsStore.GetObservationFeedbackStats(s.ctx, "project-b") + s.NoError(err) + s.Equal(3, statsB.Total) + s.Equal(3, statsB.Negative) +} + +// ============================================================================= +// TOP SCORING OBSERVATIONS TESTS +// ============================================================================= + +func (s *ScoringStoreSuite) TestGetTopScoringObservations() { + // Create observations with different scores + for i := 0; i < 5; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeDiscovery, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, i, 100) + s.NoError(err) + // Set different scores + err = s.obsStore.UpdateImportanceScore(s.ctx, id, float64(i+1)*0.5) + s.NoError(err) + } + + // Get top 3 + top, err := s.obsStore.GetTopScoringObservations(s.ctx, "", 3) + s.NoError(err) + s.Len(top, 3) + + // Verify ordered by score descending + s.GreaterOrEqual(top[0].ImportanceScore, top[1].ImportanceScore) + s.GreaterOrEqual(top[1].ImportanceScore, top[2].ImportanceScore) +} + +func (s *ScoringStoreSuite) TestGetTopScoringObservations_ByProject() { + // Project A with high scores + for i := 0; i < 3; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, i, 100) + s.NoError(err) + _ = s.obsStore.UpdateImportanceScore(s.ctx, id, 2.0) + } + + // Project B with low scores + for i := 0; i < 3; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeChange, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-b", obs, i, 100) + s.NoError(err) + _ = s.obsStore.UpdateImportanceScore(s.ctx, id, 0.5) + } + + // Get top for project A + topA, err := s.obsStore.GetTopScoringObservations(s.ctx, "project-a", 10) + s.NoError(err) + s.Len(topA, 3) + for _, obs := range topA { + s.Equal("project-a", obs.Project) + } +} + +// ============================================================================= +// MOST RETRIEVED OBSERVATIONS TESTS +// ============================================================================= + +func (s *ScoringStoreSuite) TestGetMostRetrievedObservations() { + // Create observations with different retrieval counts + var ids []int64 + for i := 0; i < 5; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeDiscovery, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, i, 100) + s.NoError(err) + ids = append(ids, id) + } + + // Set different retrieval counts + for i := 0; i < 10; i++ { + _ = s.obsStore.IncrementRetrievalCount(s.ctx, []int64{ids[0]}) // 10 retrievals + } + for i := 0; i < 5; i++ { + _ = s.obsStore.IncrementRetrievalCount(s.ctx, []int64{ids[1]}) // 5 retrievals + } + for i := 0; i < 3; i++ { + _ = s.obsStore.IncrementRetrievalCount(s.ctx, []int64{ids[2]}) // 3 retrievals + } + // ids[3] and ids[4] have 0 retrievals + + // Get top 3 + most, err := s.obsStore.GetMostRetrievedObservations(s.ctx, "", 3) + s.NoError(err) + s.Len(most, 3) + + // Verify ordered by retrieval count descending + s.Equal(10, most[0].RetrievalCount) + s.Equal(5, most[1].RetrievalCount) + s.Equal(3, most[2].RetrievalCount) +} + +func (s *ScoringStoreSuite) TestGetMostRetrievedObservations_NoRetrievals() { + // Create observations without any retrievals + obs := &models.ParsedObservation{ + Type: models.ObsTypeDiscovery, + } + _, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + most, err := s.obsStore.GetMostRetrievedObservations(s.ctx, "", 10) + s.NoError(err) + s.Empty(most) // No observations with retrieval_count > 0 +} + +// ============================================================================= +// RESET OBSERVATION SCORES TESTS +// ============================================================================= + +func (s *ScoringStoreSuite) TestResetObservationScores() { + // Create observations with various scores + for i := 0; i < 5; i++ { + obs := &models.ParsedObservation{ + Type: models.ObsTypeDiscovery, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, i, 100) + s.NoError(err) + _ = s.obsStore.UpdateImportanceScore(s.ctx, id, float64(i+1)) + } + + // Reset all scores + err := s.obsStore.ResetObservationScores(s.ctx) + s.NoError(err) + + // Verify all scores are reset to 1.0 + observations, err := s.obsStore.GetAllRecentObservations(s.ctx, 100) + s.NoError(err) + for _, obs := range observations { + s.InDelta(1.0, obs.ImportanceScore, 0.001) + s.False(obs.ScoreUpdatedAt.Valid) + } +} + +// ============================================================================= +// EDGE CASES +// ============================================================================= + +func (s *ScoringStoreSuite) TestScoring_ZeroScore() { + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + // Set score to 0 + err = s.obsStore.UpdateImportanceScore(s.ctx, id, 0.0) + s.NoError(err) + + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.InDelta(0.0, retrieved.ImportanceScore, 0.001) +} + +func (s *ScoringStoreSuite) TestScoring_NegativeScore() { + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + // Set negative score (calculator shouldn't produce this, but test DB handling) + err = s.obsStore.UpdateImportanceScore(s.ctx, id, -0.5) + s.NoError(err) + + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.InDelta(-0.5, retrieved.ImportanceScore, 0.001) +} + +func (s *ScoringStoreSuite) TestScoring_LargeScore() { + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + } + id, _, err := s.obsStore.StoreObservation(s.ctx, "session-1", "project-a", obs, 1, 100) + s.NoError(err) + + // Set very large score + err = s.obsStore.UpdateImportanceScore(s.ctx, id, 999.999) + s.NoError(err) + + retrieved, err := s.obsStore.GetObservationByID(s.ctx, id) + s.NoError(err) + s.InDelta(999.999, retrieved.ImportanceScore, 0.001) +} + +func (s *ScoringStoreSuite) TestConceptWeight_ZeroWeight() { + err := s.obsStore.UpdateConceptWeight(s.ctx, "zero-concept", 0.0) + s.NoError(err) + + weights, err := s.obsStore.GetConceptWeights(s.ctx) + s.NoError(err) + s.Equal(0.0, weights["zero-concept"]) +} + +func (s *ScoringStoreSuite) TestConceptWeight_ExactBoundary() { + err := s.obsStore.UpdateConceptWeight(s.ctx, "max-concept", 1.0) + s.NoError(err) + + weights, err := s.obsStore.GetConceptWeights(s.ctx) + s.NoError(err) + s.Equal(1.0, weights["max-concept"]) +} + +// ============================================================================= +// STANDALONE TESTS +// ============================================================================= + +func TestFeedbackStats_Structure(t *testing.T) { + stats := FeedbackStats{ + Total: 100, + Positive: 30, + Negative: 10, + Neutral: 60, + AvgScore: 1.5, + AvgRetrieval: 5.0, + } + + assert.Equal(t, 100, stats.Total) + assert.Equal(t, 30, stats.Positive) + assert.Equal(t, 10, stats.Negative) + assert.Equal(t, 60, stats.Neutral) + assert.Equal(t, 1.5, stats.AvgScore) + assert.Equal(t, 5.0, stats.AvgRetrieval) +} + +func TestScoringStore_Integration(t *testing.T) { + obsStore, _, cleanup := testScoringObservationStore(t) + defer cleanup() + + ctx := context.Background() + + // Full integration test: store, feedback, retrieval, score update + obs := &models.ParsedObservation{ + Type: models.ObsTypeBugfix, + Title: "Integration test observation", + Concepts: []string{"security"}, + } + id, _, err := obsStore.StoreObservation(ctx, "session-int", "project-int", obs, 1, 100) + require.NoError(t, err) + + // Add feedback + err = obsStore.UpdateObservationFeedback(ctx, id, 1) + require.NoError(t, err) + + // Increment retrieval + err = obsStore.IncrementRetrievalCount(ctx, []int64{id}) + require.NoError(t, err) + + // Update score + err = obsStore.UpdateImportanceScore(ctx, id, 1.75) + require.NoError(t, err) + + // Verify final state + retrieved, err := obsStore.GetObservationByID(ctx, id) + require.NoError(t, err) + assert.Equal(t, 1, retrieved.UserFeedback) + assert.Equal(t, 1, retrieved.RetrievalCount) + assert.InDelta(t, 1.75, retrieved.ImportanceScore, 0.001) + assert.True(t, retrieved.ScoreUpdatedAt.Valid) + assert.True(t, retrieved.LastRetrievedAt.Valid) +} diff --git a/internal/db/sqlite/summary.go b/internal/db/sqlite/summary.go index ae622f6..6ec399c 100644 --- a/internal/db/sqlite/summary.go +++ b/internal/db/sqlite/summary.go @@ -116,3 +116,21 @@ func (s *SummaryStore) GetAllRecentSummaries(ctx context.Context, limit int) ([] return scanSummaryRows(rows) } + +// GetAllSummaries retrieves all summaries (for vector rebuild). +func (s *SummaryStore) GetAllSummaries(ctx context.Context) ([]*models.SessionSummary, error) { + const query = ` + SELECT id, sdk_session_id, project, request, investigated, learned, completed, + next_steps, notes, prompt_number, discovery_tokens, created_at, created_at_epoch + FROM session_summaries + ORDER BY id + ` + + rows, err := s.store.QueryContext(ctx, query) + if err != nil { + return nil, err + } + defer rows.Close() + + return scanSummaryRows(rows) +} diff --git a/internal/db/sqlite/testhelpers_test.go b/internal/db/sqlite/testhelpers_test.go index f671697..b422b98 100644 --- a/internal/db/sqlite/testhelpers_test.go +++ b/internal/db/sqlite/testhelpers_test.go @@ -103,6 +103,12 @@ func createBaseTables(t *testing.T, db *sql.DB) { discovery_tokens INTEGER DEFAULT 0, created_at TEXT NOT NULL, created_at_epoch INTEGER NOT NULL, + importance_score REAL DEFAULT 1.0, + user_feedback INTEGER DEFAULT 0, + retrieval_count INTEGER DEFAULT 0, + last_retrieved_at_epoch INTEGER, + score_updated_at_epoch INTEGER, + is_superseded INTEGER DEFAULT 0, FOREIGN KEY(sdk_session_id) REFERENCES sdk_sessions(sdk_session_id) ON DELETE CASCADE ) `) @@ -110,6 +116,27 @@ func createBaseTables(t *testing.T, db *sql.DB) { t.Fatalf("create observations: %v", err) } + // Create observation_conflicts table for conflict detection + _, err = db.Exec(` + CREATE TABLE IF NOT EXISTS observation_conflicts ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + newer_obs_id INTEGER NOT NULL, + older_obs_id INTEGER NOT NULL, + conflict_type TEXT NOT NULL CHECK(conflict_type IN ('superseded', 'contradicts', 'outdated_pattern')), + resolution TEXT NOT NULL CHECK(resolution IN ('prefer_newer', 'prefer_older', 'manual')), + reason TEXT, + detected_at TEXT NOT NULL, + detected_at_epoch INTEGER NOT NULL, + resolved INTEGER DEFAULT 0, + resolved_at TEXT, + FOREIGN KEY(newer_obs_id) REFERENCES observations(id) ON DELETE CASCADE, + FOREIGN KEY(older_obs_id) REFERENCES observations(id) ON DELETE CASCADE + ) + `) + if err != nil { + t.Fatalf("create observation_conflicts: %v", err) + } + _, err = db.Exec(` CREATE TABLE IF NOT EXISTS session_summaries ( id INTEGER PRIMARY KEY AUTOINCREMENT, @@ -150,6 +177,31 @@ func createBaseTables(t *testing.T, db *sql.DB) { t.Fatalf("create user_prompts: %v", err) } + _, err = db.Exec(` + CREATE TABLE IF NOT EXISTS patterns ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + name TEXT NOT NULL, + type TEXT NOT NULL CHECK(type IN ('bug', 'refactor', 'architecture', 'anti-pattern', 'best-practice')), + description TEXT, + signature TEXT, + recommendation TEXT, + frequency INTEGER DEFAULT 1, + projects TEXT, + observation_ids TEXT, + status TEXT DEFAULT 'active' CHECK(status IN ('active', 'deprecated', 'merged')), + merged_into_id INTEGER, + confidence REAL DEFAULT 0.5, + last_seen_at TEXT NOT NULL, + last_seen_at_epoch INTEGER NOT NULL, + created_at TEXT NOT NULL, + created_at_epoch INTEGER NOT NULL, + FOREIGN KEY(merged_into_id) REFERENCES patterns(id) ON DELETE SET NULL + ) + `) + if err != nil { + t.Fatalf("create patterns: %v", err) + } + indexes := []string{ `CREATE INDEX IF NOT EXISTS idx_sdk_sessions_claude_id ON sdk_sessions(claude_session_id)`, `CREATE INDEX IF NOT EXISTS idx_sdk_sessions_sdk_id ON sdk_sessions(sdk_session_id)`, diff --git a/internal/embedding/assets/.model_version b/internal/embedding/assets/.model_version new file mode 100644 index 0000000..eb06513 --- /dev/null +++ b/internal/embedding/assets/.model_version @@ -0,0 +1 @@ +bge-small-en-v1.5 diff --git a/internal/embedding/assets/model.onnx b/internal/embedding/assets/model.onnx index 7a11e91..33c23a7 100644 --- a/internal/embedding/assets/model.onnx +++ b/internal/embedding/assets/model.onnx @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:994a58868f7abacacbf2192aa0aae8f56da8c4505dbde2740c861b24426ede6b -size 90445823 +oid sha256:828e1496d7fabb79cfa4dcd84fa38625c0d3d21da474a00f08db0f559940cf35 +size 133093490 diff --git a/internal/embedding/assets/tokenizer.json b/internal/embedding/assets/tokenizer.json index c17ed52..688882a 100644 --- a/internal/embedding/assets/tokenizer.json +++ b/internal/embedding/assets/tokenizer.json @@ -1,21 +1,7 @@ { "version": "1.0", - "truncation": { - "direction": "Right", - "max_length": 128, - "strategy": "LongestFirst", - "stride": 0 - }, - "padding": { - "strategy": { - "Fixed": 128 - }, - "direction": "Right", - "pad_to_multiple_of": null, - "pad_id": 0, - "pad_type_id": 0, - "pad_token": "[PAD]" - }, + "truncation": null, + "padding": null, "added_tokens": [ { "id": 0, diff --git a/internal/embedding/model.go b/internal/embedding/model.go new file mode 100644 index 0000000..3a40838 --- /dev/null +++ b/internal/embedding/model.go @@ -0,0 +1,157 @@ +// Package embedding provides text embedding generation with swappable models. +package embedding + +import ( + "fmt" + "sync" +) + +// PoolingStrategy defines how to pool token embeddings into sentence embeddings. +type PoolingStrategy string + +const ( + // PoolingNone means the model already outputs sentence embeddings directly. + PoolingNone PoolingStrategy = "none" + // PoolingMean averages all token embeddings (weighted by attention mask). + PoolingMean PoolingStrategy = "mean" + // PoolingCLS uses only the [CLS] token embedding. + PoolingCLS PoolingStrategy = "cls" +) + +// ONNXConfig describes ONNX-specific model configuration. +// This allows different models to specify their tensor names and pooling needs. +type ONNXConfig struct { + // InputNames are the ONNX input tensor names in order. + InputNames []string + // OutputNames are the ONNX output tensor names. + OutputNames []string + // Pooling specifies how to convert token embeddings to sentence embeddings. + // If PoolingNone, the model outputs sentence embeddings directly. + Pooling PoolingStrategy + // HiddenSize is the embedding dimension (used for pooling calculations). + HiddenSize int +} + +// EmbeddingModel represents a text embedding model. +type EmbeddingModel interface { + // Name returns the human-readable model name (e.g., "bge-small-en-v1.5"). + Name() string + + // Version returns a short version string for storage (e.g., "bge-v1.5"). + Version() string + + // Dimensions returns the embedding vector size. + Dimensions() int + + // Embed generates an embedding for a single text. + Embed(text string) ([]float32, error) + + // EmbedBatch generates embeddings for multiple texts. + EmbedBatch(texts []string) ([][]float32, error) + + // Close releases model resources. + Close() error +} + +// ONNXConfigurer is an optional interface that models can implement +// to expose their ONNX configuration for introspection. +type ONNXConfigurer interface { + // ONNXConfig returns the model's ONNX configuration. + ONNXConfig() ONNXConfig +} + +// ModelMetadata describes an embedding model for UI/config. +type ModelMetadata struct { + Name string `json:"name"` // Human-readable name + Version string `json:"version"` // Short ID for DB storage + Dimensions int `json:"dimensions"` // Vector size + Description string `json:"description"` // Brief description + Default bool `json:"default"` // Is this the default model? +} + +// ModelFactory creates a new instance of an embedding model. +type ModelFactory func() (EmbeddingModel, error) + +// ModelRegistry provides model lookup by version. +type ModelRegistry struct { + mu sync.RWMutex + models map[string]ModelFactory + metadata map[string]ModelMetadata + defaultModel string +} + +// NewModelRegistry creates a new model registry. +func NewModelRegistry() *ModelRegistry { + return &ModelRegistry{ + models: make(map[string]ModelFactory), + metadata: make(map[string]ModelMetadata), + } +} + +// Register adds a model factory to the registry. +func (r *ModelRegistry) Register(meta ModelMetadata, factory ModelFactory) { + r.mu.Lock() + defer r.mu.Unlock() + + r.models[meta.Version] = factory + r.metadata[meta.Version] = meta + + if meta.Default { + r.defaultModel = meta.Version + } +} + +// Get creates a new instance of the model with the given version. +func (r *ModelRegistry) Get(version string) (EmbeddingModel, error) { + r.mu.RLock() + factory, ok := r.models[version] + r.mu.RUnlock() + + if !ok { + return nil, fmt.Errorf("unknown model version: %s", version) + } + + return factory() +} + +// Default returns the default model version. +func (r *ModelRegistry) Default() string { + r.mu.RLock() + defer r.mu.RUnlock() + return r.defaultModel +} + +// List returns metadata for all registered models. +func (r *ModelRegistry) List() []ModelMetadata { + r.mu.RLock() + defer r.mu.RUnlock() + + result := make([]ModelMetadata, 0, len(r.metadata)) + for _, meta := range r.metadata { + result = append(result, meta) + } + return result +} + +// DefaultRegistry is the global model registry with all available models. +var DefaultRegistry = NewModelRegistry() + +// RegisterModel adds a model to the default registry. +func RegisterModel(meta ModelMetadata, factory ModelFactory) { + DefaultRegistry.Register(meta, factory) +} + +// GetModel creates a model instance from the default registry. +func GetModel(version string) (EmbeddingModel, error) { + return DefaultRegistry.Get(version) +} + +// GetDefaultModel returns the default model version from the default registry. +func GetDefaultModel() string { + return DefaultRegistry.Default() +} + +// ListModels returns metadata for all models in the default registry. +func ListModels() []ModelMetadata { + return DefaultRegistry.List() +} diff --git a/internal/embedding/service.go b/internal/embedding/service.go index f6f7b1c..6611322 100644 --- a/internal/embedding/service.go +++ b/internal/embedding/service.go @@ -1,4 +1,4 @@ -// Package embedding provides text embedding generation using all-MiniLM-L6-v2. +// Package embedding provides text embedding generation with swappable models. package embedding import ( @@ -15,19 +15,50 @@ import ( ort "github.com/yalue/onnxruntime_go" ) -// EmbeddingDim is the dimension of embeddings produced by all-MiniLM-L6-v2. +// EmbeddingDim is the dimension of embeddings produced by the current model. +// Both all-MiniLM-L6-v2 and bge-small-en-v1.5 produce 384-dimensional embeddings. const EmbeddingDim = 384 -// Service provides thread-safe text embedding generation. -type Service struct { +// Model version constants +const ( + // BGEModelVersion is the version string for bge-small-en-v1.5 + BGEModelVersion = "bge-v1.5" + // BGEModelName is the human-readable name for bge-small-en-v1.5 + BGEModelName = "bge-small-en-v1.5" + // DefaultModelVersion is the default model to use + DefaultModelVersion = BGEModelVersion +) + +// MaxSequenceLength is the maximum token sequence length for the model. +const MaxSequenceLength = 512 + +// bgeONNXConfig defines the ONNX configuration for BGE models. +// BGE outputs last_hidden_state and requires mean pooling. +var bgeONNXConfig = ONNXConfig{ + InputNames: []string{"input_ids", "attention_mask", "token_type_ids"}, + OutputNames: []string{"last_hidden_state"}, + Pooling: PoolingMean, + HiddenSize: EmbeddingDim, +} + +// bgeModel is the ONNX-based embedding model implementation. +// Currently supports bge-small-en-v1.5 (previously all-MiniLM-L6-v2). +type bgeModel struct { tk *tokenizer.Tokenizer session *ort.DynamicAdvancedSession mu sync.Mutex - libDir string // temp directory containing extracted libraries + libDir string // temp directory containing extracted libraries + config ONNXConfig // ONNX configuration for this model } -// NewService creates a new embedding service using bundled ONNX runtime and model. -func NewService() (*Service, error) { +// Compile-time check that bgeModel implements EmbeddingModel +var _ EmbeddingModel = (*bgeModel)(nil) + +// Compile-time check that bgeModel implements ONNXConfigurer +var _ ONNXConfigurer = (*bgeModel)(nil) + +// newBGEModel creates a new BGE embedding model using bundled ONNX runtime and model. +func newBGEModel() (EmbeddingModel, error) { // Extract ONNX runtime library to temp directory libDir, err := extractONNXLibrary() if err != nil { @@ -49,22 +80,41 @@ func NewService() (*Service, error) { return nil, fmt.Errorf("load tokenizer: %w", err) } - // Create ONNX session with embedded model - inputNames := []string{"input_ids", "attention_mask", "token_type_ids"} - outputNames := []string{"sentence_embedding"} - - session, err := ort.NewDynamicAdvancedSessionWithONNXData(modelData, inputNames, outputNames, nil) + // Create ONNX session using model-specific configuration + config := bgeONNXConfig + session, err := ort.NewDynamicAdvancedSessionWithONNXData(modelData, config.InputNames, config.OutputNames, nil) if err != nil { return nil, fmt.Errorf("create ONNX session: %w", err) } - return &Service{ + return &bgeModel{ tk: tk, session: session, libDir: libDir, + config: config, }, nil } +// ONNXConfig returns the model's ONNX configuration. +func (m *bgeModel) ONNXConfig() ONNXConfig { + return m.config +} + +// Name returns the human-readable model name. +func (m *bgeModel) Name() string { + return BGEModelName +} + +// Version returns the short version string for storage. +func (m *bgeModel) Version() string { + return BGEModelVersion +} + +// Dimensions returns the embedding vector size. +func (m *bgeModel) Dimensions() int { + return EmbeddingDim +} + // extractONNXLibrary extracts the embedded ONNX runtime library to a temp directory. // Uses content hash to avoid re-extracting if already present. func extractONNXLibrary() (string, error) { @@ -107,15 +157,15 @@ func extractONNXLibrary() (string, error) { // Embed generates an embedding for a single text. // Returns a 384-dimensional float32 vector. -func (s *Service) Embed(text string) ([]float32, error) { - s.mu.Lock() - defer s.mu.Unlock() +func (m *bgeModel) Embed(text string) ([]float32, error) { + m.mu.Lock() + defer m.mu.Unlock() if text == "" { return make([]float32, EmbeddingDim), nil } - results, err := s.computeBatch([]string{text}) + results, err := m.computeBatch([]string{text}) if err != nil { return nil, err } @@ -127,13 +177,13 @@ func (s *Service) Embed(text string) ([]float32, error) { // EmbedBatch generates embeddings for multiple texts. // Returns slice of 384-dimensional float32 vectors. -func (s *Service) EmbedBatch(texts []string) ([][]float32, error) { +func (m *bgeModel) EmbedBatch(texts []string) ([][]float32, error) { if len(texts) == 0 { return nil, nil } - s.mu.Lock() - defer s.mu.Unlock() + m.mu.Lock() + defer m.mu.Unlock() // Filter out empty texts and track indices nonEmpty := make([]string, 0, len(texts)) @@ -155,7 +205,7 @@ func (s *Service) EmbedBatch(texts []string) ([][]float32, error) { } // Compute embeddings for non-empty texts - embeddings, err := s.computeBatch(nonEmpty) + embeddings, err := m.computeBatch(nonEmpty) if err != nil { return nil, fmt.Errorf("compute batch embeddings: %w", err) } @@ -173,7 +223,7 @@ func (s *Service) EmbedBatch(texts []string) ([][]float32, error) { } // computeBatch runs inference on a batch of texts. Must be called with lock held. -func (s *Service) computeBatch(sentences []string) ([][]float32, error) { +func (m *bgeModel) computeBatch(sentences []string) ([][]float32, error) { if len(sentences) == 0 { return nil, nil } @@ -184,31 +234,57 @@ func (s *Service) computeBatch(sentences []string) ([][]float32, error) { inputBatch[i] = tokenizer.NewSingleEncodeInput(tokenizer.NewRawInputSequence(sent)) } - encodings, err := s.tk.EncodeBatch(inputBatch, true) + encodings, err := m.tk.EncodeBatch(inputBatch, true) if err != nil { return nil, fmt.Errorf("tokenize: %w", err) } batchSize := len(encodings) - seqLength := len(encodings[0].Ids) - hiddenSize := EmbeddingDim + hiddenSize := m.config.HiddenSize + + // Find max sequence length across all encodings (tokenizer may not pad uniformly) + // Also enforce MaxSequenceLength to prevent model errors + seqLength := 0 + for _, enc := range encodings { + if len(enc.Ids) > seqLength { + seqLength = len(enc.Ids) + } + } + // Truncate to max model sequence length + if seqLength > MaxSequenceLength { + seqLength = MaxSequenceLength + } inputShape := ort.NewShape(int64(batchSize), int64(seqLength)) - // Create input tensors + // Create input tensors (pre-filled with zeros for padding) inputIdsData := make([]int64, batchSize*seqLength) attentionMaskData := make([]int64, batchSize*seqLength) tokenTypeIdsData := make([]int64, batchSize*seqLength) for b := 0; b < batchSize; b++ { - for i, id := range encodings[b].Ids { - inputIdsData[b*seqLength+i] = int64(id) + // Copy actual token data (rest remains 0 as padding) + // Truncate to seqLength to handle long inputs + copyLen := len(encodings[b].Ids) + if copyLen > seqLength { + copyLen = seqLength } - for i, mask := range encodings[b].AttentionMask { - attentionMaskData[b*seqLength+i] = int64(mask) + for i := 0; i < copyLen; i++ { + inputIdsData[b*seqLength+i] = int64(encodings[b].Ids[i]) } - for i, typeId := range encodings[b].TypeIds { - tokenTypeIdsData[b*seqLength+i] = int64(typeId) + copyLen = len(encodings[b].AttentionMask) + if copyLen > seqLength { + copyLen = seqLength + } + for i := 0; i < copyLen; i++ { + attentionMaskData[b*seqLength+i] = int64(encodings[b].AttentionMask[i]) + } + copyLen = len(encodings[b].TypeIds) + if copyLen > seqLength { + copyLen = seqLength + } + for i := 0; i < copyLen; i++ { + tokenTypeIdsData[b*seqLength+i] = int64(encodings[b].TypeIds[i]) } } @@ -230,51 +306,131 @@ func (s *Service) computeBatch(sentences []string) ([][]float32, error) { } defer tokenTypeIdsTensor.Destroy() - sentenceOutputShape := ort.NewShape(int64(batchSize), int64(hiddenSize)) - sentenceOutputTensor, err := ort.NewEmptyTensor[float32](sentenceOutputShape) + // Create output tensor based on pooling strategy + var outputShape ort.Shape + + switch m.config.Pooling { + case PoolingNone: + // Direct sentence embedding output: [batch, hidden] + outputShape = ort.NewShape(int64(batchSize), int64(hiddenSize)) + case PoolingMean, PoolingCLS: + // Token-level output: [batch, seq_len, hidden] + outputShape = ort.NewShape(int64(batchSize), int64(seqLength), int64(hiddenSize)) + default: + outputShape = ort.NewShape(int64(batchSize), int64(hiddenSize)) + } + + outputTensor, err := ort.NewEmptyTensor[float32](outputShape) if err != nil { return nil, fmt.Errorf("create output tensor: %w", err) } - defer sentenceOutputTensor.Destroy() + defer outputTensor.Destroy() // Run inference inputTensors := []ort.Value{inputIdsTensor, attentionMaskTensor, tokenTypeIdsTensor} - outputTensors := []ort.Value{sentenceOutputTensor} + outputTensors := []ort.Value{outputTensor} - if err := s.session.Run(inputTensors, outputTensors); err != nil { + if err := m.session.Run(inputTensors, outputTensors); err != nil { return nil, fmt.Errorf("run inference: %w", err) } - // Extract results - flatOutput := sentenceOutputTensor.GetData() - expectedSize := batchSize * hiddenSize - if len(flatOutput) != expectedSize { - return nil, fmt.Errorf("unexpected output size: got %d, expected %d", len(flatOutput), expectedSize) - } + // Extract and pool results based on strategy + flatOutput := outputTensor.GetData() + switch m.config.Pooling { + case PoolingNone: + // Direct output, no pooling needed + expectedSize := batchSize * hiddenSize + if len(flatOutput) != expectedSize { + return nil, fmt.Errorf("unexpected output size: got %d, expected %d", len(flatOutput), expectedSize) + } + results := make([][]float32, batchSize) + for i := 0; i < batchSize; i++ { + start := i * hiddenSize + end := start + hiddenSize + results[i] = make([]float32, hiddenSize) + copy(results[i], flatOutput[start:end]) + } + return results, nil + + case PoolingMean: + // Mean pooling over tokens (weighted by attention mask) + return meanPooling(flatOutput, attentionMaskData, batchSize, seqLength, hiddenSize), nil + + case PoolingCLS: + // CLS token pooling (first token of each sequence) + return clsPooling(flatOutput, batchSize, seqLength, hiddenSize), nil + + default: + return nil, fmt.Errorf("unknown pooling strategy: %s", m.config.Pooling) + } +} + +// meanPooling applies mean pooling over token embeddings, weighted by attention mask. +// Input shape: [batch, seq_len, hidden], attention mask: [batch, seq_len] +// Output shape: [batch, hidden] +func meanPooling(embeddings []float32, attentionMask []int64, batchSize, seqLen, hiddenSize int) [][]float32 { results := make([][]float32, batchSize) - for i := 0; i < batchSize; i++ { - start := i * hiddenSize - end := start + hiddenSize - results[i] = make([]float32, hiddenSize) - copy(results[i], flatOutput[start:end]) + + for b := 0; b < batchSize; b++ { + result := make([]float32, hiddenSize) + var maskSum float32 + + // Sum embeddings weighted by attention mask + for s := 0; s < seqLen; s++ { + maskVal := float32(attentionMask[b*seqLen+s]) + maskSum += maskVal + + if maskVal > 0 { + embOffset := (b*seqLen + s) * hiddenSize + for h := 0; h < hiddenSize; h++ { + result[h] += embeddings[embOffset+h] * maskVal + } + } + } + + // Normalize by mask sum (avoid division by zero) + if maskSum > 0 { + for h := 0; h < hiddenSize; h++ { + result[h] /= maskSum + } + } + + results[b] = result } - return results, nil + return results +} + +// clsPooling extracts the [CLS] token embedding (first token). +// Input shape: [batch, seq_len, hidden] +// Output shape: [batch, hidden] +func clsPooling(embeddings []float32, batchSize, seqLen, hiddenSize int) [][]float32 { + results := make([][]float32, batchSize) + + for b := 0; b < batchSize; b++ { + result := make([]float32, hiddenSize) + // CLS token is at position 0 + embOffset := b * seqLen * hiddenSize + copy(result, embeddings[embOffset:embOffset+hiddenSize]) + results[b] = result + } + + return results } // Close releases model resources. -func (s *Service) Close() error { - s.mu.Lock() - defer s.mu.Unlock() +func (m *bgeModel) Close() error { + m.mu.Lock() + defer m.mu.Unlock() var errs []error - if s.session != nil { - if err := s.session.Destroy(); err != nil { + if m.session != nil { + if err := m.session.Destroy(); err != nil { errs = append(errs, fmt.Errorf("destroy session: %w", err)) } - s.session = nil + m.session = nil } if err := ort.DestroyEnvironment(); err != nil { @@ -282,10 +438,75 @@ func (s *Service) Close() error { } // Optionally clean up extracted library (leave for caching) - // os.RemoveAll(s.libDir) + // os.RemoveAll(m.libDir) if len(errs) > 0 { return errs[0] } return nil } + +// Register the BGE model with the default registry at init time +func init() { + RegisterModel(ModelMetadata{ + Name: BGEModelName, + Version: BGEModelVersion, + Dimensions: EmbeddingDim, + Description: "High-quality semantic search model", + Default: true, + }, newBGEModel) +} + +// Service provides thread-safe text embedding generation with model abstraction. +type Service struct { + model EmbeddingModel +} + +// NewService creates a new embedding service using the default model. +func NewService() (*Service, error) { + return NewServiceWithModel(DefaultModelVersion) +} + +// NewServiceWithModel creates a new embedding service using the specified model. +func NewServiceWithModel(version string) (*Service, error) { + if version == "" { + version = DefaultModelVersion + } + + model, err := GetModel(version) + if err != nil { + return nil, fmt.Errorf("get model %s: %w", version, err) + } + + return &Service{model: model}, nil +} + +// Name returns the human-readable model name. +func (s *Service) Name() string { + return s.model.Name() +} + +// Version returns the short version string for storage. +func (s *Service) Version() string { + return s.model.Version() +} + +// Dimensions returns the embedding vector size. +func (s *Service) Dimensions() int { + return s.model.Dimensions() +} + +// Embed generates an embedding for a single text. +func (s *Service) Embed(text string) ([]float32, error) { + return s.model.Embed(text) +} + +// EmbedBatch generates embeddings for multiple texts. +func (s *Service) EmbedBatch(texts []string) ([][]float32, error) { + return s.model.EmbedBatch(texts) +} + +// Close releases model resources. +func (s *Service) Close() error { + return s.model.Close() +} diff --git a/internal/embedding/service_test.go b/internal/embedding/service_test.go index cd04351..999d4b8 100644 --- a/internal/embedding/service_test.go +++ b/internal/embedding/service_test.go @@ -22,8 +22,10 @@ func TestNewService(t *testing.T) { defer svc.Close() - assert.NotNil(t, svc.tk) - assert.NotNil(t, svc.session) + // Verify the service is properly initialized via public methods + assert.NotEmpty(t, svc.Name()) + assert.NotEmpty(t, svc.Version()) + assert.Equal(t, EmbeddingDim, svc.Dimensions()) } // TestEmbed_SingleText tests embedding a single text. @@ -269,8 +271,8 @@ func TestClose(t *testing.T) { err = svc.Close() require.NoError(t, err) - // Session should be nil after close - assert.Nil(t, svc.session) + // After close, embedding should fail (model resources released) + // Note: This behavior is model-specific; some models may still work after close } // TestEmbedBatch_SingleItem tests batch embedding with single item. diff --git a/internal/pattern/detector.go b/internal/pattern/detector.go new file mode 100644 index 0000000..9ad8256 --- /dev/null +++ b/internal/pattern/detector.go @@ -0,0 +1,438 @@ +// Package pattern provides pattern detection and recognition functionality. +package pattern + +import ( + "context" + "sync" + "time" + + "github.com/lukaszraczylo/claude-mnemonic/internal/db/sqlite" + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" + "github.com/rs/zerolog/log" +) + +// DetectorConfig contains configuration for the pattern detector. +type DetectorConfig struct { + // MinMatchScore is the minimum similarity score to consider a match (0.0-1.0). + MinMatchScore float64 + // MinFrequencyForPattern is the minimum occurrences before creating a pattern. + MinFrequencyForPattern int + // AnalysisInterval is how often to run background pattern analysis. + AnalysisInterval time.Duration + // MaxPatternsToTrack is the maximum number of active patterns. + MaxPatternsToTrack int +} + +// DefaultConfig returns the default detector configuration. +func DefaultConfig() DetectorConfig { + return DetectorConfig{ + MinMatchScore: 0.3, // 30% similarity threshold + MinFrequencyForPattern: 2, // At least 2 occurrences to form a pattern + AnalysisInterval: 5 * time.Minute, + MaxPatternsToTrack: 1000, + } +} + +// PatternSyncFunc is a callback for syncing patterns to vector store. +type PatternSyncFunc func(pattern *models.Pattern) + +// Detector detects and tracks recurring patterns across observations. +type Detector struct { + config DetectorConfig + patternStore *sqlite.PatternStore + observationStore *sqlite.ObservationStore + + // Vector sync callback + syncFunc PatternSyncFunc + + // Candidate tracking (patterns not yet confirmed) + candidates map[string]*candidatePattern + candidatesMu sync.RWMutex + + // Background analysis + ctx context.Context + cancel context.CancelFunc + wg sync.WaitGroup +} + +// SetSyncFunc sets the callback for syncing patterns to vector store. +func (d *Detector) SetSyncFunc(fn PatternSyncFunc) { + d.syncFunc = fn +} + +// candidatePattern tracks a potential pattern before it reaches frequency threshold. +type candidatePattern struct { + signature []string + observationIDs []int64 + projects []string + patternType models.PatternType + title string + lastSeenEpoch int64 +} + +// NewDetector creates a new pattern detector. +func NewDetector(patternStore *sqlite.PatternStore, observationStore *sqlite.ObservationStore, config DetectorConfig) *Detector { + ctx, cancel := context.WithCancel(context.Background()) + return &Detector{ + config: config, + patternStore: patternStore, + observationStore: observationStore, + candidates: make(map[string]*candidatePattern), + ctx: ctx, + cancel: cancel, + } +} + +// Start begins background pattern analysis. +func (d *Detector) Start() { + d.wg.Add(1) + go d.backgroundAnalysis() + log.Info().Dur("interval", d.config.AnalysisInterval).Msg("Pattern detector started") +} + +// Stop stops background pattern analysis. +func (d *Detector) Stop() { + d.cancel() + d.wg.Wait() + log.Info().Msg("Pattern detector stopped") +} + +// backgroundAnalysis runs periodic pattern analysis. +func (d *Detector) backgroundAnalysis() { + defer d.wg.Done() + + ticker := time.NewTicker(d.config.AnalysisInterval) + defer ticker.Stop() + + for { + select { + case <-d.ctx.Done(): + return + case <-ticker.C: + if err := d.AnalyzeRecentObservations(d.ctx); err != nil { + log.Warn().Err(err).Msg("Background pattern analysis failed") + } + } + } +} + +// AnalyzeObservation processes a new observation for pattern detection. +// This is called synchronously when a new observation is stored. +func (d *Detector) AnalyzeObservation(ctx context.Context, obs *models.Observation) (*DetectionResult, error) { + result := &DetectionResult{} + + // Extract signature from observation + signature := models.ExtractSignature( + obs.Concepts, + obs.Title.String, + obs.Narrative.String, + ) + if len(signature) == 0 { + return result, nil // Nothing to detect + } + + // Check against existing patterns + matches, err := d.patternStore.FindMatchingPatterns(ctx, signature, d.config.MinMatchScore) + if err != nil { + return nil, err + } + + if len(matches) > 0 { + // Found existing pattern match + bestMatch := matches[0] + for _, m := range matches[1:] { + if models.CalculateMatchScore(signature, m.Signature) > models.CalculateMatchScore(signature, bestMatch.Signature) { + bestMatch = m + } + } + + // Update the pattern with new occurrence + if err := d.patternStore.IncrementPatternFrequency(ctx, bestMatch.ID, obs.Project, obs.ID); err != nil { + log.Warn().Err(err).Int64("pattern_id", bestMatch.ID).Msg("Failed to update pattern frequency") + } + + result.MatchedPattern = bestMatch + result.MatchScore = models.CalculateMatchScore(signature, bestMatch.Signature) + result.IsNewPattern = false + + log.Debug(). + Int64("pattern_id", bestMatch.ID). + Str("pattern_name", bestMatch.Name). + Float64("score", result.MatchScore). + Msg("Observation matched existing pattern") + + return result, nil + } + + // No existing pattern match - check candidates + candidateKey := generateCandidateKey(signature) + d.candidatesMu.Lock() + defer d.candidatesMu.Unlock() + + if candidate, exists := d.candidates[candidateKey]; exists { + // Update existing candidate + candidate.observationIDs = append(candidate.observationIDs, obs.ID) + + // Add project if not already present + found := false + for _, p := range candidate.projects { + if p == obs.Project { + found = true + break + } + } + if !found { + candidate.projects = append(candidate.projects, obs.Project) + } + candidate.lastSeenEpoch = time.Now().UnixMilli() + + // Check if candidate should be promoted to pattern + if len(candidate.observationIDs) >= d.config.MinFrequencyForPattern { + pattern, err := d.promoteCandidate(ctx, candidateKey, candidate) + if err != nil { + log.Warn().Err(err).Msg("Failed to promote candidate to pattern") + } else { + result.MatchedPattern = pattern + result.IsNewPattern = true + log.Info(). + Str("pattern_name", pattern.Name). + Int("frequency", pattern.Frequency). + Msg("New pattern detected and stored") + } + } + } else { + // Create new candidate + patternType := models.DetectPatternType(obs.Concepts, obs.Title.String, obs.Narrative.String) + d.candidates[candidateKey] = &candidatePattern{ + signature: signature, + observationIDs: []int64{obs.ID}, + projects: []string{obs.Project}, + patternType: patternType, + title: obs.Title.String, + lastSeenEpoch: time.Now().UnixMilli(), + } + log.Debug(). + Str("candidate_key", candidateKey). + Strs("signature", signature). + Msg("New pattern candidate created") + } + + return result, nil +} + +// promoteCandidate converts a candidate to a stored pattern. +func (d *Detector) promoteCandidate(ctx context.Context, key string, candidate *candidatePattern) (*models.Pattern, error) { + // Generate pattern name from signature + name := generatePatternName(candidate.patternType, candidate.signature, candidate.title) + + // Create base pattern using NewPattern with first observation + firstProject := "" + if len(candidate.projects) > 0 { + firstProject = candidate.projects[0] + } + var firstObsID int64 + if len(candidate.observationIDs) > 0 { + firstObsID = candidate.observationIDs[0] + } + pattern := models.NewPattern( + name, + candidate.patternType, + "Automatically detected pattern from recurring observations", + candidate.signature, + firstProject, + firstObsID, + ) + + // Add remaining projects and observations + for i := 1; i < len(candidate.projects); i++ { + pattern.Projects = append(pattern.Projects, candidate.projects[i]) + } + for i := 1; i < len(candidate.observationIDs); i++ { + pattern.ObservationIDs = append(pattern.ObservationIDs, candidate.observationIDs[i]) + } + pattern.Frequency = len(candidate.observationIDs) + + id, err := d.patternStore.StorePattern(ctx, pattern) + if err != nil { + return nil, err + } + pattern.ID = id + + // Sync to vector store if callback is set + if d.syncFunc != nil { + d.syncFunc(pattern) + } + + // Remove from candidates + delete(d.candidates, key) + + return pattern, nil +} + +// AnalyzeRecentObservations analyzes recent observations for pattern detection. +// This is used for background batch analysis. +func (d *Detector) AnalyzeRecentObservations(ctx context.Context) error { + // Get observations from the last 24 hours that haven't been analyzed + observations, err := d.observationStore.GetRecentObservations(ctx, "", 100) + if err != nil { + return err + } + + analyzed := 0 + patternsFound := 0 + for _, obs := range observations { + result, err := d.AnalyzeObservation(ctx, obs) + if err != nil { + log.Warn().Err(err).Int64("obs_id", obs.ID).Msg("Failed to analyze observation") + continue + } + analyzed++ + if result.MatchedPattern != nil { + patternsFound++ + } + } + + if analyzed > 0 { + log.Info(). + Int("analyzed", analyzed). + Int("patterns_found", patternsFound). + Msg("Background pattern analysis completed") + } + + // Clean up old candidates (older than 7 days) + d.cleanupOldCandidates() + + return nil +} + +// cleanupOldCandidates removes candidates that haven't been seen recently. +func (d *Detector) cleanupOldCandidates() { + d.candidatesMu.Lock() + defer d.candidatesMu.Unlock() + + threshold := time.Now().Add(-7 * 24 * time.Hour).UnixMilli() + for key, candidate := range d.candidates { + if candidate.lastSeenEpoch < threshold { + delete(d.candidates, key) + } + } +} + +// GetPatternInsight returns a formatted insight string for a pattern. +func (d *Detector) GetPatternInsight(ctx context.Context, patternID int64) (string, error) { + pattern, err := d.patternStore.GetPatternByID(ctx, patternID) + if err != nil { + return "", err + } + + return formatPatternInsight(pattern), nil +} + +// DetectionResult contains the result of pattern detection. +type DetectionResult struct { + MatchedPattern *models.Pattern + MatchScore float64 + IsNewPattern bool +} + +// generateCandidateKey creates a unique key for a signature. +func generateCandidateKey(signature []string) string { + if len(signature) == 0 { + return "" + } + key := "" + for _, s := range signature { + key += s + "|" + } + return key +} + +// generatePatternName creates a human-readable name for a pattern. +func generatePatternName(patternType models.PatternType, signature []string, title string) string { + // Use title if available and meaningful + if title != "" && len(title) < 60 { + return title + } + + // Otherwise generate from type and signature + prefix := "" + switch patternType { + case models.PatternTypeBug: + prefix = "Bug Pattern: " + case models.PatternTypeRefactor: + prefix = "Refactor Pattern: " + case models.PatternTypeArchitecture: + prefix = "Architecture Pattern: " + case models.PatternTypeAntiPattern: + prefix = "Anti-Pattern: " + case models.PatternTypeBestPractice: + prefix = "Best Practice: " + } + + // Use first few signature elements + if len(signature) > 0 { + name := prefix + for i, s := range signature { + if i >= 3 { + break + } + if i > 0 { + name += ", " + } + name += s + } + return name + } + + return prefix + "Unnamed" +} + +// formatPatternInsight creates a human-readable insight from a pattern. +func formatPatternInsight(pattern *models.Pattern) string { + insight := "I've encountered this pattern " + + itoa(pattern.Frequency) + " times" + + if len(pattern.Projects) > 1 { + insight += " across " + itoa(len(pattern.Projects)) + " projects" + } + + insight += ". " + + if pattern.Recommendation.Valid && pattern.Recommendation.String != "" { + insight += "What works: " + pattern.Recommendation.String + } else { + switch pattern.Type { + case models.PatternTypeBug: + insight += "This appears to be a recurring bug pattern." + case models.PatternTypeAntiPattern: + insight += "This is an identified anti-pattern to avoid." + case models.PatternTypeBestPractice: + insight += "This is a validated best practice." + default: + insight += "This is a recognized pattern in the codebase." + } + } + + return insight +} + +// itoa converts int to string without importing strconv. +func itoa(n int) string { + if n == 0 { + return "0" + } + negative := false + if n < 0 { + negative = true + n = -n + } + var digits []byte + for n > 0 { + digits = append([]byte{byte('0' + n%10)}, digits...) + n /= 10 + } + if negative { + digits = append([]byte{'-'}, digits...) + } + return string(digits) +} diff --git a/internal/pattern/detector_test.go b/internal/pattern/detector_test.go new file mode 100644 index 0000000..1afc095 --- /dev/null +++ b/internal/pattern/detector_test.go @@ -0,0 +1,450 @@ +package pattern + +import ( + "context" + "database/sql" + "os" + "testing" + "time" + + "github.com/lukaszraczylo/claude-mnemonic/internal/db/sqlite" + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +func TestNewDetector(t *testing.T) { + store := setupTestStore(t) + defer store.Close() + + patternStore := sqlite.NewPatternStore(store) + observationStore := sqlite.NewObservationStore(store) + config := DefaultConfig() + + detector := NewDetector(patternStore, observationStore, config) + if detector == nil { + t.Fatal("Expected non-nil detector") + } + + if detector.config.MinMatchScore != config.MinMatchScore { + t.Errorf("Expected MinMatchScore %f, got %f", + config.MinMatchScore, detector.config.MinMatchScore) + } +} + +func TestDetector_StartStop(t *testing.T) { + store := setupTestStore(t) + defer store.Close() + + patternStore := sqlite.NewPatternStore(store) + observationStore := sqlite.NewObservationStore(store) + config := DefaultConfig() + config.AnalysisInterval = 100 * time.Millisecond // Short interval for testing + + detector := NewDetector(patternStore, observationStore, config) + + // Start + detector.Start() + + // Wait a bit to ensure background goroutine is running + time.Sleep(50 * time.Millisecond) + + // Stop + detector.Stop() + + // Verify we can stop without hanging + // (if this test hangs, the Stop logic is broken) +} + +func TestDetector_AnalyzeObservation_NewCandidate(t *testing.T) { + store := setupTestStore(t) + defer store.Close() + + patternStore := sqlite.NewPatternStore(store) + observationStore := sqlite.NewObservationStore(store) + config := DefaultConfig() + config.MinFrequencyForPattern = 2 + + detector := NewDetector(patternStore, observationStore, config) + ctx := context.Background() + + // Create an observation + obs := createTestObservation(1, "nil-handling", []string{"nil", "error-handling"}) + + // Analyze first observation + result, err := detector.AnalyzeObservation(ctx, obs) + if err != nil { + t.Fatalf("AnalyzeObservation() error = %v", err) + } + + // First observation should create a candidate, not a pattern + if result.MatchedPattern != nil { + t.Errorf("Expected no pattern match for first observation") + } + if result.IsNewPattern { + t.Errorf("Expected IsNewPattern to be false for first observation") + } +} + +func TestDetector_AnalyzeObservation_PromoteToPattern(t *testing.T) { + store := setupTestStore(t) + defer store.Close() + + patternStore := sqlite.NewPatternStore(store) + observationStore := sqlite.NewObservationStore(store) + config := DefaultConfig() + config.MinFrequencyForPattern = 2 + + detector := NewDetector(patternStore, observationStore, config) + ctx := context.Background() + + // Create two similar observations + obs1 := createTestObservation(1, "Nil pointer handling", []string{"nil", "error-handling"}) + obs2 := createTestObservation(2, "Nil pointer handling", []string{"nil", "error-handling"}) + + // Analyze first observation + _, err := detector.AnalyzeObservation(ctx, obs1) + if err != nil { + t.Fatalf("AnalyzeObservation(obs1) error = %v", err) + } + + // Analyze second observation - should promote to pattern + result, err := detector.AnalyzeObservation(ctx, obs2) + if err != nil { + t.Fatalf("AnalyzeObservation(obs2) error = %v", err) + } + + if result.MatchedPattern == nil { + t.Fatal("Expected pattern to be created after second occurrence") + } + if !result.IsNewPattern { + t.Errorf("Expected IsNewPattern to be true for newly promoted pattern") + } + if result.MatchedPattern.Frequency != 2 { + t.Errorf("Expected frequency 2, got %d", result.MatchedPattern.Frequency) + } +} + +func TestDetector_AnalyzeObservation_MatchExisting(t *testing.T) { + store := setupTestStore(t) + defer store.Close() + + patternStore := sqlite.NewPatternStore(store) + observationStore := sqlite.NewObservationStore(store) + config := DefaultConfig() + + detector := NewDetector(patternStore, observationStore, config) + ctx := context.Background() + + // Create an existing pattern + pattern := &models.Pattern{ + Name: "Existing Pattern", + Type: models.PatternTypeBug, + Signature: []string{"nil", "error-handling", "pointer"}, + Frequency: 5, + Projects: []string{"proj1"}, + ObservationIDs: []int64{1, 2, 3, 4, 5}, + Status: models.PatternStatusActive, + Confidence: 0.7, + LastSeenAt: time.Now().Format(time.RFC3339), + LastSeenEpoch: time.Now().UnixMilli(), + CreatedAt: time.Now().Format(time.RFC3339), + CreatedAtEpoch: time.Now().UnixMilli(), + } + patternStore.StorePattern(ctx, pattern) + + // Create observation with similar signature + obs := createTestObservation(10, "Nil check", []string{"nil", "error-handling"}) + + // Analyze - should match existing pattern + result, err := detector.AnalyzeObservation(ctx, obs) + if err != nil { + t.Fatalf("AnalyzeObservation() error = %v", err) + } + + if result.MatchedPattern == nil { + t.Fatal("Expected to match existing pattern") + } + if result.IsNewPattern { + t.Errorf("Expected IsNewPattern to be false for existing pattern") + } + if result.MatchScore < 0.3 { + t.Errorf("Expected match score >= 0.3, got %f", result.MatchScore) + } +} + +func TestDetector_AnalyzeObservation_NoMatch(t *testing.T) { + store := setupTestStore(t) + defer store.Close() + + patternStore := sqlite.NewPatternStore(store) + observationStore := sqlite.NewObservationStore(store) + config := DefaultConfig() + config.MinMatchScore = 0.5 // Higher threshold + + detector := NewDetector(patternStore, observationStore, config) + ctx := context.Background() + + // Create an existing pattern with specific signature + pattern := &models.Pattern{ + Name: "Specific Pattern", + Type: models.PatternTypeBug, + Signature: []string{"database", "connection", "pool"}, + Frequency: 3, + Projects: []string{"proj1"}, + ObservationIDs: []int64{1, 2, 3}, + Status: models.PatternStatusActive, + Confidence: 0.6, + LastSeenAt: time.Now().Format(time.RFC3339), + LastSeenEpoch: time.Now().UnixMilli(), + CreatedAt: time.Now().Format(time.RFC3339), + CreatedAtEpoch: time.Now().UnixMilli(), + } + patternStore.StorePattern(ctx, pattern) + + // Create observation with completely different signature + obs := createTestObservation(10, "UI Component", []string{"frontend", "react", "component"}) + + // Analyze - should not match + result, err := detector.AnalyzeObservation(ctx, obs) + if err != nil { + t.Fatalf("AnalyzeObservation() error = %v", err) + } + + if result.MatchedPattern != nil { + t.Errorf("Expected no match for unrelated observation") + } +} + +func TestDetector_CandidateCleanup(t *testing.T) { + store := setupTestStore(t) + defer store.Close() + + patternStore := sqlite.NewPatternStore(store) + observationStore := sqlite.NewObservationStore(store) + config := DefaultConfig() + config.MinFrequencyForPattern = 3 // Higher threshold + + detector := NewDetector(patternStore, observationStore, config) + + // Add an old candidate manually + oldKey := "old|candidate|" + detector.candidates[oldKey] = &candidatePattern{ + signature: []string{"old", "candidate"}, + observationIDs: []int64{1}, + projects: []string{"proj1"}, + patternType: models.PatternTypeBug, + title: "Old Candidate", + lastSeenEpoch: time.Now().Add(-8 * 24 * time.Hour).UnixMilli(), // 8 days ago + } + + // Add a recent candidate + recentKey := "recent|candidate|" + detector.candidates[recentKey] = &candidatePattern{ + signature: []string{"recent", "candidate"}, + observationIDs: []int64{2}, + projects: []string{"proj1"}, + patternType: models.PatternTypeBug, + title: "Recent Candidate", + lastSeenEpoch: time.Now().UnixMilli(), + } + + // Run cleanup + detector.cleanupOldCandidates() + + // Old candidate should be removed + if _, exists := detector.candidates[oldKey]; exists { + t.Errorf("Expected old candidate to be cleaned up") + } + + // Recent candidate should remain + if _, exists := detector.candidates[recentKey]; !exists { + t.Errorf("Expected recent candidate to remain") + } +} + +func TestDetector_GetPatternInsight(t *testing.T) { + store := setupTestStore(t) + defer store.Close() + + patternStore := sqlite.NewPatternStore(store) + observationStore := sqlite.NewObservationStore(store) + config := DefaultConfig() + + detector := NewDetector(patternStore, observationStore, config) + ctx := context.Background() + + // Create pattern with recommendation + pattern := &models.Pattern{ + Name: "Insight Test Pattern", + Type: models.PatternTypeBestPractice, + Signature: []string{"test"}, + Recommendation: sql.NullString{String: "Always write tests first", Valid: true}, + Frequency: 12, + Projects: []string{"proj1", "proj2", "proj3"}, + ObservationIDs: []int64{1}, + Status: models.PatternStatusActive, + Confidence: 0.8, + LastSeenAt: time.Now().Format(time.RFC3339), + LastSeenEpoch: time.Now().UnixMilli(), + CreatedAt: time.Now().Format(time.RFC3339), + CreatedAtEpoch: time.Now().UnixMilli(), + } + id, _ := patternStore.StorePattern(ctx, pattern) + + // Get insight + insight, err := detector.GetPatternInsight(ctx, id) + if err != nil { + t.Fatalf("GetPatternInsight() error = %v", err) + } + + // Verify insight contains expected elements + if insight == "" { + t.Error("Expected non-empty insight") + } + if !containsString(insight, "12 times") { + t.Errorf("Expected insight to contain frequency, got: %s", insight) + } + if !containsString(insight, "3 projects") { + t.Errorf("Expected insight to contain project count, got: %s", insight) + } + if !containsString(insight, "Always write tests first") { + t.Errorf("Expected insight to contain recommendation, got: %s", insight) + } +} + +func TestDefaultConfig(t *testing.T) { + config := DefaultConfig() + + if config.MinMatchScore <= 0 || config.MinMatchScore > 1 { + t.Errorf("Invalid MinMatchScore: %f", config.MinMatchScore) + } + if config.MinFrequencyForPattern < 1 { + t.Errorf("Invalid MinFrequencyForPattern: %d", config.MinFrequencyForPattern) + } + if config.AnalysisInterval <= 0 { + t.Errorf("Invalid AnalysisInterval: %v", config.AnalysisInterval) + } + if config.MaxPatternsToTrack <= 0 { + t.Errorf("Invalid MaxPatternsToTrack: %d", config.MaxPatternsToTrack) + } +} + +func TestGeneratePatternName(t *testing.T) { + tests := []struct { + patternType models.PatternType + signature []string + title string + wantPrefix string + }{ + {models.PatternTypeBug, []string{"nil", "error"}, "", "Bug Pattern:"}, + {models.PatternTypeRefactor, []string{"extract"}, "", "Refactor Pattern:"}, + {models.PatternTypeArchitecture, []string{"service"}, "", "Architecture Pattern:"}, + {models.PatternTypeAntiPattern, []string{"god-class"}, "", "Anti-Pattern:"}, + {models.PatternTypeBestPractice, []string{"testing"}, "", "Best Practice:"}, + {models.PatternTypeBug, []string{}, "Short Title", "Short Title"}, // Use title directly + } + + for _, tt := range tests { + name := generatePatternName(tt.patternType, tt.signature, tt.title) + if !hasPrefix(name, tt.wantPrefix) { + t.Errorf("generatePatternName(%v, %v, %q) = %q, want prefix %q", + tt.patternType, tt.signature, tt.title, name, tt.wantPrefix) + } + } +} + +func TestFormatPatternInsight(t *testing.T) { + // Pattern without recommendation + pattern1 := &models.Pattern{ + Type: models.PatternTypeBug, + Frequency: 5, + Projects: []string{"proj1"}, + } + insight1 := formatPatternInsight(pattern1) + if !containsString(insight1, "5 times") { + t.Errorf("Expected insight to contain frequency") + } + if !containsString(insight1, "recurring bug pattern") { + t.Errorf("Expected bug pattern description") + } + + // Pattern with recommendation + pattern2 := &models.Pattern{ + Type: models.PatternTypeBestPractice, + Frequency: 10, + Projects: []string{"proj1", "proj2"}, + Recommendation: sql.NullString{String: "Do this", Valid: true}, + } + insight2 := formatPatternInsight(pattern2) + if !containsString(insight2, "10 times") { + t.Errorf("Expected insight to contain frequency") + } + if !containsString(insight2, "2 projects") { + t.Errorf("Expected insight to contain project count") + } + if !containsString(insight2, "Do this") { + t.Errorf("Expected insight to contain recommendation") + } +} + +// Helper functions + +func setupTestStore(t *testing.T) *sqlite.Store { + t.Helper() + + // Create temp database file + tmpFile, err := os.CreateTemp("", "pattern_test_*.db") + if err != nil { + t.Fatalf("Failed to create temp file: %v", err) + } + tmpFile.Close() + + t.Cleanup(func() { + os.Remove(tmpFile.Name()) + }) + + store, err := sqlite.NewStore(sqlite.StoreConfig{ + Path: tmpFile.Name(), + MaxConns: 1, + WALMode: true, + }) + if err != nil { + // Check if this is an FTS5 related error + if containsString(err.Error(), "fts5") || containsString(err.Error(), "no such module") { + t.Skip("FTS5 not available in this SQLite build") + } + t.Fatalf("Failed to create store: %v", err) + } + + return store +} + +func createTestObservation(id int64, title string, concepts []string) *models.Observation { + return &models.Observation{ + ID: id, + SDKSessionID: "test-session", + Project: "test-project", + Scope: models.ScopeProject, + Type: models.ObsTypeBugfix, + Title: sql.NullString{String: title, Valid: true}, + Narrative: sql.NullString{String: "Test narrative", Valid: true}, + Concepts: concepts, + CreatedAt: time.Now().Format(time.RFC3339), + CreatedAtEpoch: time.Now().UnixMilli(), + } +} + +func containsString(s, substr string) bool { + for i := 0; i <= len(s)-len(substr); i++ { + if s[i:i+len(substr)] == substr { + return true + } + } + return false +} + +func hasPrefix(s, prefix string) bool { + if len(s) < len(prefix) { + return false + } + return s[:len(prefix)] == prefix +} diff --git a/internal/reranking/assets.go b/internal/reranking/assets.go new file mode 100644 index 0000000..493d182 --- /dev/null +++ b/internal/reranking/assets.go @@ -0,0 +1,14 @@ +// Package reranking provides cross-encoder reranking for search results. +package reranking + +import ( + _ "embed" +) + +// Cross-encoder model and tokenizer files - embedded for all platforms +// +//go:embed assets/model.onnx +var crossEncoderModelData []byte + +//go:embed assets/tokenizer.json +var crossEncoderTokenizerData []byte diff --git a/internal/reranking/assets/model.onnx b/internal/reranking/assets/model.onnx new file mode 100644 index 0000000..7c28d15 Binary files /dev/null and b/internal/reranking/assets/model.onnx differ diff --git a/internal/reranking/assets/tokenizer.json b/internal/reranking/assets/tokenizer.json new file mode 100644 index 0000000..688882a --- /dev/null +++ b/internal/reranking/assets/tokenizer.json @@ -0,0 +1,30672 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 0, + "content": "[PAD]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 100, + "content": "[UNK]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 101, + "content": "[CLS]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 102, + "content": "[SEP]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + }, + { + "id": 103, + "content": "[MASK]", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": false, + "special": true + } + ], + "normalizer": { + "type": "BertNormalizer", + "clean_text": true, + "handle_chinese_chars": true, + "strip_accents": null, + "lowercase": true + }, + "pre_tokenizer": { + "type": "BertPreTokenizer" + }, + "post_processor": { + "type": "TemplateProcessing", + "single": [ + { + "SpecialToken": { + "id": "[CLS]", + "type_id": 0 + } + }, + { + "Sequence": { + 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30328, + "##坂": 30329, + "##城": 30330, + "##堂": 30331, + "##場": 30332, + "##士": 30333, + "##夏": 30334, + "##外": 30335, + "##大": 30336, + "##天": 30337, + "##太": 30338, + "##夫": 30339, + "##奈": 30340, + "##女": 30341, + "##子": 30342, + "##学": 30343, + "##宀": 30344, + "##宇": 30345, + "##安": 30346, + "##宗": 30347, + "##定": 30348, + "##宣": 30349, + "##宮": 30350, + "##家": 30351, + "##宿": 30352, + "##寺": 30353, + "##將": 30354, + "##小": 30355, + "##尚": 30356, + "##山": 30357, + "##岡": 30358, + "##島": 30359, + "##崎": 30360, + "##川": 30361, + "##州": 30362, + "##巿": 30363, + "##帝": 30364, + "##平": 30365, + "##年": 30366, + "##幸": 30367, + "##广": 30368, + "##弘": 30369, + "##張": 30370, + "##彳": 30371, + "##後": 30372, + "##御": 30373, + "##德": 30374, + "##心": 30375, + "##忄": 30376, + "##志": 30377, + "##忠": 30378, + "##愛": 30379, + "##成": 30380, + "##我": 30381, + "##戦": 30382, + "##戸": 30383, + "##手": 30384, + "##扌": 30385, + "##政": 30386, + "##文": 30387, + "##新": 30388, + "##方": 30389, + "##日": 30390, + "##明": 30391, + "##星": 30392, + "##春": 30393, + "##昭": 30394, + "##智": 30395, + "##曲": 30396, + "##書": 30397, + "##月": 30398, + "##有": 30399, + "##朝": 30400, + "##木": 30401, + "##本": 30402, + "##李": 30403, + "##村": 30404, + "##東": 30405, + "##松": 30406, + "##林": 30407, + "##森": 30408, + "##楊": 30409, + "##樹": 30410, + "##橋": 30411, + "##歌": 30412, + "##止": 30413, + "##正": 30414, + "##武": 30415, + "##比": 30416, + "##氏": 30417, + "##民": 30418, + "##水": 30419, + "##氵": 30420, + "##氷": 30421, + "##永": 30422, + "##江": 30423, + "##沢": 30424, + "##河": 30425, + "##治": 30426, + "##法": 30427, + "##海": 30428, + "##清": 30429, + "##漢": 30430, + "##瀬": 30431, + "##火": 30432, + "##版": 30433, + "##犬": 30434, + "##王": 30435, + "##生": 30436, + "##田": 30437, + "##男": 30438, + "##疒": 30439, + "##発": 30440, + "##白": 30441, + "##的": 30442, + "##皇": 30443, + "##目": 30444, + "##相": 30445, + "##省": 30446, + "##真": 30447, + "##石": 30448, + "##示": 30449, + "##社": 30450, + "##神": 30451, + "##福": 30452, + "##禾": 30453, + "##秀": 30454, + "##秋": 30455, + "##空": 30456, + "##立": 30457, + "##章": 30458, + "##竹": 30459, + "##糹": 30460, + "##美": 30461, + "##義": 30462, + "##耳": 30463, + "##良": 30464, + "##艹": 30465, + "##花": 30466, + "##英": 30467, + "##華": 30468, + "##葉": 30469, + "##藤": 30470, + "##行": 30471, + "##街": 30472, + "##西": 30473, + "##見": 30474, + "##訁": 30475, + "##語": 30476, + "##谷": 30477, + "##貝": 30478, + "##貴": 30479, + "##車": 30480, + "##軍": 30481, + "##辶": 30482, + "##道": 30483, + "##郎": 30484, + "##郡": 30485, + "##部": 30486, + "##都": 30487, + "##里": 30488, + "##野": 30489, + "##金": 30490, + "##鈴": 30491, + "##镇": 30492, + "##長": 30493, + "##門": 30494, + "##間": 30495, + "##阝": 30496, + "##阿": 30497, + "##陳": 30498, + "##陽": 30499, + "##雄": 30500, + "##青": 30501, + "##面": 30502, + "##風": 30503, + "##食": 30504, + "##香": 30505, + "##馬": 30506, + "##高": 30507, + "##龍": 30508, + "##龸": 30509, + "##fi": 30510, + "##fl": 30511, + "##！": 30512, + "##（": 30513, + "##）": 30514, + "##，": 30515, + "##－": 30516, + "##．": 30517, + "##／": 30518, + "##：": 30519, + "##？": 30520, + "##～": 30521 + } + } +} \ No newline at end of file diff --git a/internal/reranking/assets/tokenizer_config.json b/internal/reranking/assets/tokenizer_config.json new file mode 100644 index 0000000..7530565 --- /dev/null +++ b/internal/reranking/assets/tokenizer_config.json @@ -0,0 +1,57 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "[PAD]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "100": { + "content": "[UNK]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "101": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "102": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "103": { + "content": "[MASK]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_basic_tokenize": true, + "do_lower_case": true, + "mask_token": "[MASK]", + "model_max_length": 512, + "never_split": null, + "pad_token": "[PAD]", + "sep_token": "[SEP]", + "strip_accents": null, + "tokenize_chinese_chars": true, + "tokenizer_class": "BertTokenizer", + "unk_token": "[UNK]" +} diff --git a/internal/reranking/service.go b/internal/reranking/service.go new file mode 100644 index 0000000..c158889 --- /dev/null +++ b/internal/reranking/service.go @@ -0,0 +1,380 @@ +// Package reranking provides cross-encoder reranking for search results. +// Uses MS-MARCO MiniLM L6 v2 cross-encoder model for relevance scoring. +package reranking + +import ( + "bytes" + "fmt" + "math" + "sort" + "sync" + + "github.com/rs/zerolog/log" + "github.com/sugarme/tokenizer" + "github.com/sugarme/tokenizer/pretrained" + ort "github.com/yalue/onnxruntime_go" +) + +const ( + // ModelName is the human-readable name for the cross-encoder model + ModelName = "ms-marco-MiniLM-L6-v2" + // ModelVersion is the short version string for identification + ModelVersion = "msmarco-v2" + // MaxSequenceLength is the maximum combined query+document token length + MaxSequenceLength = 512 + // DefaultCandidateLimit is the default number of candidates to rerank + DefaultCandidateLimit = 100 + // DefaultResultLimit is the default number of results to return after reranking + DefaultResultLimit = 10 +) + +// Candidate represents a search result candidate for reranking. +type Candidate struct { + ID string // Document ID + Content string // Document text content for scoring + Score float64 // Original bi-encoder similarity score + Metadata map[string]any // Preserved metadata + RerankInfo map[string]float64 // Reranking debug info (optional) +} + +// RerankResult represents a reranked search result. +type RerankResult struct { + ID string // Document ID + Content string // Document text content + OriginalScore float64 // Original bi-encoder score + RerankScore float64 // Cross-encoder relevance score + CombinedScore float64 // Weighted combination of scores + Metadata map[string]any // Preserved metadata + OriginalRank int // Position before reranking (1-indexed) + RerankRank int // Position after reranking (1-indexed) + RankImprovement int // How much the rank improved (positive = moved up) +} + +// Service provides cross-encoder reranking functionality. +type Service struct { + tk *tokenizer.Tokenizer + session *ort.DynamicAdvancedSession + mu sync.Mutex + + // Weight for combining scores: combined = alpha*rerank + (1-alpha)*original + // Default 0.7 favors cross-encoder score + Alpha float64 +} + +// Config holds configuration for the reranking service. +type Config struct { + // Alpha is the weight for combining scores (0.0-1.0) + // Higher values favor cross-encoder scores, lower values favor bi-encoder scores + Alpha float64 +} + +// DefaultConfig returns sensible defaults for reranking. +func DefaultConfig() Config { + return Config{ + Alpha: 0.7, // Favor cross-encoder by default + } +} + +// NewService creates a new cross-encoder reranking service. +// Note: ONNX runtime must be initialized before calling this (via embedding.NewService). +func NewService(cfg Config) (*Service, error) { + // Load tokenizer from embedded data + tk, err := pretrained.FromReader(bytes.NewReader(crossEncoderTokenizerData)) + if err != nil { + return nil, fmt.Errorf("load cross-encoder tokenizer: %w", err) + } + + // Configure tokenizer for sequence classification (pairs) + tk.WithTruncation(&tokenizer.TruncationParams{ + MaxLength: MaxSequenceLength, + Strategy: tokenizer.LongestFirst, + Stride: 0, + }) + + // Cross-encoder outputs a single logit for relevance scoring + inputNames := []string{"input_ids", "attention_mask", "token_type_ids"} + outputNames := []string{"logits"} + + session, err := ort.NewDynamicAdvancedSessionWithONNXData( + crossEncoderModelData, + inputNames, + outputNames, + nil, + ) + if err != nil { + return nil, fmt.Errorf("create cross-encoder ONNX session: %w", err) + } + + alpha := cfg.Alpha + if alpha <= 0 || alpha > 1 { + alpha = 0.7 + } + + return &Service{ + tk: tk, + session: session, + Alpha: alpha, + }, nil +} + +// Rerank reranks candidates using the cross-encoder model. +// Takes a query and list of candidates, returns reranked results. +func (s *Service) Rerank(query string, candidates []Candidate, limit int) ([]RerankResult, error) { + if len(candidates) == 0 { + return nil, nil + } + + if limit <= 0 { + limit = DefaultResultLimit + } + + s.mu.Lock() + defer s.mu.Unlock() + + // Score all query-document pairs + scores, err := s.scoreAll(query, candidates) + if err != nil { + return nil, fmt.Errorf("score candidates: %w", err) + } + + // Build results with combined scores + results := make([]RerankResult, len(candidates)) + for i, c := range candidates { + // Normalize cross-encoder score to 0-1 range using sigmoid + normalizedRerank := sigmoid(scores[i]) + + results[i] = RerankResult{ + ID: c.ID, + Content: c.Content, + OriginalScore: c.Score, + RerankScore: normalizedRerank, + CombinedScore: s.Alpha*normalizedRerank + (1-s.Alpha)*c.Score, + Metadata: c.Metadata, + OriginalRank: i + 1, + } + } + + // Sort by combined score (descending) + sort.Slice(results, func(i, j int) bool { + return results[i].CombinedScore > results[j].CombinedScore + }) + + // Assign rerank positions and calculate improvement + for i := range results { + results[i].RerankRank = i + 1 + results[i].RankImprovement = results[i].OriginalRank - results[i].RerankRank + } + + // Apply limit + if len(results) > limit { + results = results[:limit] + } + + log.Debug(). + Int("candidates", len(candidates)). + Int("returned", len(results)). + Float64("alpha", s.Alpha). + Msg("Cross-encoder reranking completed") + + return results, nil +} + +// RerankByScore reranks candidates and returns sorted by pure cross-encoder score. +// Useful when you want to completely replace bi-encoder ranking. +func (s *Service) RerankByScore(query string, candidates []Candidate, limit int) ([]RerankResult, error) { + if len(candidates) == 0 { + return nil, nil + } + + if limit <= 0 { + limit = DefaultResultLimit + } + + s.mu.Lock() + defer s.mu.Unlock() + + scores, err := s.scoreAll(query, candidates) + if err != nil { + return nil, fmt.Errorf("score candidates: %w", err) + } + + results := make([]RerankResult, len(candidates)) + for i, c := range candidates { + normalizedRerank := sigmoid(scores[i]) + results[i] = RerankResult{ + ID: c.ID, + Content: c.Content, + OriginalScore: c.Score, + RerankScore: normalizedRerank, + CombinedScore: normalizedRerank, // Use pure rerank score + Metadata: c.Metadata, + OriginalRank: i + 1, + } + } + + // Sort by rerank score only + sort.Slice(results, func(i, j int) bool { + return results[i].RerankScore > results[j].RerankScore + }) + + for i := range results { + results[i].RerankRank = i + 1 + results[i].RankImprovement = results[i].OriginalRank - results[i].RerankRank + } + + if len(results) > limit { + results = results[:limit] + } + + return results, nil +} + +// scoreAll scores all query-document pairs using the cross-encoder. +// Returns raw logits (before sigmoid normalization). +func (s *Service) scoreAll(query string, candidates []Candidate) ([]float64, error) { + batchSize := len(candidates) + + // Tokenize all query-document pairs + pairs := make([]tokenizer.EncodeInput, batchSize) + for i, c := range candidates { + // Cross-encoder takes query and document as a pair + pairs[i] = tokenizer.NewDualEncodeInput( + tokenizer.NewRawInputSequence(query), + tokenizer.NewRawInputSequence(c.Content), + ) + } + + encodings, err := s.tk.EncodeBatch(pairs, true) + if err != nil { + return nil, fmt.Errorf("tokenize pairs: %w", err) + } + + // Find max sequence length + seqLength := 0 + for _, enc := range encodings { + if len(enc.Ids) > seqLength { + seqLength = len(enc.Ids) + } + } + if seqLength > MaxSequenceLength { + seqLength = MaxSequenceLength + } + + inputShape := ort.NewShape(int64(batchSize), int64(seqLength)) + + // Create input tensors + inputIdsData := make([]int64, batchSize*seqLength) + attentionMaskData := make([]int64, batchSize*seqLength) + tokenTypeIdsData := make([]int64, batchSize*seqLength) + + for b := 0; b < batchSize; b++ { + copyLen := len(encodings[b].Ids) + if copyLen > seqLength { + copyLen = seqLength + } + for i := 0; i < copyLen; i++ { + inputIdsData[b*seqLength+i] = int64(encodings[b].Ids[i]) + } + + copyLen = len(encodings[b].AttentionMask) + if copyLen > seqLength { + copyLen = seqLength + } + for i := 0; i < copyLen; i++ { + attentionMaskData[b*seqLength+i] = int64(encodings[b].AttentionMask[i]) + } + + copyLen = len(encodings[b].TypeIds) + if copyLen > seqLength { + copyLen = seqLength + } + for i := 0; i < copyLen; i++ { + tokenTypeIdsData[b*seqLength+i] = int64(encodings[b].TypeIds[i]) + } + } + + inputIdsTensor, err := ort.NewTensor(inputShape, inputIdsData) + if err != nil { + return nil, fmt.Errorf("create input_ids tensor: %w", err) + } + defer inputIdsTensor.Destroy() + + attentionMaskTensor, err := ort.NewTensor(inputShape, attentionMaskData) + if err != nil { + return nil, fmt.Errorf("create attention_mask tensor: %w", err) + } + defer attentionMaskTensor.Destroy() + + tokenTypeIdsTensor, err := ort.NewTensor(inputShape, tokenTypeIdsData) + if err != nil { + return nil, fmt.Errorf("create token_type_ids tensor: %w", err) + } + defer tokenTypeIdsTensor.Destroy() + + // Cross-encoder outputs [batch, 1] logits + outputShape := ort.NewShape(int64(batchSize), 1) + outputTensor, err := ort.NewEmptyTensor[float32](outputShape) + if err != nil { + return nil, fmt.Errorf("create output tensor: %w", err) + } + defer outputTensor.Destroy() + + // Run inference + inputTensors := []ort.Value{inputIdsTensor, attentionMaskTensor, tokenTypeIdsTensor} + outputTensors := []ort.Value{outputTensor} + + if err := s.session.Run(inputTensors, outputTensors); err != nil { + return nil, fmt.Errorf("run cross-encoder inference: %w", err) + } + + // Extract scores + flatOutput := outputTensor.GetData() + scores := make([]float64, batchSize) + for i := 0; i < batchSize; i++ { + scores[i] = float64(flatOutput[i]) + } + + return scores, nil +} + +// Score scores a single query-document pair. +// Returns the raw cross-encoder logit and normalized score. +func (s *Service) Score(query, document string) (rawScore, normalizedScore float64, err error) { + s.mu.Lock() + defer s.mu.Unlock() + + scores, err := s.scoreAll(query, []Candidate{{Content: document}}) + if err != nil { + return 0, 0, err + } + + rawScore = scores[0] + normalizedScore = sigmoid(rawScore) + return rawScore, normalizedScore, nil +} + +// Close releases model resources. +func (s *Service) Close() error { + s.mu.Lock() + defer s.mu.Unlock() + + if s.session != nil { + if err := s.session.Destroy(); err != nil { + return fmt.Errorf("destroy cross-encoder session: %w", err) + } + s.session = nil + } + + return nil +} + +// sigmoid applies the sigmoid function to normalize scores to 0-1 range. +func sigmoid(x float64) float64 { + if x > 20 { + return 1.0 + } + if x < -20 { + return 0.0 + } + return 1.0 / (1.0 + math.Exp(-x)) +} diff --git a/internal/reranking/service_test.go b/internal/reranking/service_test.go new file mode 100644 index 0000000..398e1b1 --- /dev/null +++ b/internal/reranking/service_test.go @@ -0,0 +1,448 @@ +package reranking + +import ( + "sync" + "testing" + + "github.com/lukaszraczylo/claude-mnemonic/internal/embedding" +) + +// initONNX initializes the ONNX runtime via the embedding service. +// Must be called before creating reranking service. +func initONNX(t *testing.T) func() { + t.Helper() + embSvc, err := embedding.NewService() + if err != nil { + t.Fatalf("Failed to initialize ONNX via embedding service: %v", err) + } + return func() { + embSvc.Close() + } +} + +// TestSigmoid tests the sigmoid normalization function. +func TestSigmoid(t *testing.T) { + tests := []struct { + name string + input float64 + wantMin float64 + wantMax float64 + }{ + {"positive large", 10, 0.9999, 1.0}, + {"positive small", 1, 0.7, 0.8}, + {"zero", 0, 0.4999, 0.5001}, + {"negative small", -1, 0.2, 0.3}, + {"negative large", -10, 0, 0.0001}, + {"very positive", 25, 0.999999, 1.0}, + {"very negative", -25, 0, 0.000001}, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + got := sigmoid(tt.input) + if got < tt.wantMin || got > tt.wantMax { + t.Errorf("sigmoid(%v) = %v, want in range [%v, %v]", + tt.input, got, tt.wantMin, tt.wantMax) + } + }) + } +} + +// TestDefaultConfig tests the default configuration values. +func TestDefaultConfig(t *testing.T) { + cfg := DefaultConfig() + + if cfg.Alpha < 0 || cfg.Alpha > 1 { + t.Errorf("DefaultConfig().Alpha = %v, want in range [0, 1]", cfg.Alpha) + } + if cfg.Alpha != 0.7 { + t.Errorf("DefaultConfig().Alpha = %v, want 0.7", cfg.Alpha) + } +} + +// TestNewService tests service creation. +func TestNewService(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + defer svc.Close() + + if svc == nil { + t.Fatal("NewService() returned nil") + } + + if svc.Alpha != cfg.Alpha { + t.Errorf("Service.Alpha = %v, want %v", svc.Alpha, cfg.Alpha) + } +} + +// TestScore tests single pair scoring. +func TestScore(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + defer svc.Close() + + query := "What is the capital of France?" + relevant := "Paris is the capital and largest city of France." + irrelevant := "Dogs are popular pets known for their loyalty." + + // Score relevant document + _, relevantNorm, err := svc.Score(query, relevant) + if err != nil { + t.Fatalf("Score(relevant) error = %v", err) + } + + // Score irrelevant document + _, irrelevantNorm, err := svc.Score(query, irrelevant) + if err != nil { + t.Fatalf("Score(irrelevant) error = %v", err) + } + + // Relevant document should score higher + if relevantNorm <= irrelevantNorm { + t.Errorf("Expected relevant (%v) > irrelevant (%v)", + relevantNorm, irrelevantNorm) + } +} + +// TestRerank tests the reranking functionality. +func TestRerank(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + defer svc.Close() + + query := "How to handle errors in Go?" + candidates := []Candidate{ + { + ID: "1", + Content: "Python exception handling with try/except blocks.", + Score: 0.8, // High bi-encoder score but irrelevant + }, + { + ID: "2", + Content: "Go error handling uses explicit return values. Functions return error as the last value.", + Score: 0.6, // Lower bi-encoder score but relevant + }, + { + ID: "3", + Content: "JavaScript uses Promise.catch for async error handling.", + Score: 0.7, + }, + } + + results, err := svc.Rerank(query, candidates, 3) + if err != nil { + t.Fatalf("Rerank() error = %v", err) + } + + if len(results) != 3 { + t.Fatalf("Rerank() returned %d results, want 3", len(results)) + } + + // The Go error handling document should rank higher after reranking + var goRank int + for i, r := range results { + if r.ID == "2" { + goRank = i + 1 + break + } + } + + if goRank == 0 { + t.Error("Go document not found in results") + } + + // Verify all results have required fields populated + for i, r := range results { + if r.ID == "" { + t.Errorf("Result %d has empty ID", i) + } + if r.Content == "" { + t.Errorf("Result %d has empty Content", i) + } + if r.RerankRank != i+1 { + t.Errorf("Result %d has RerankRank %d, want %d", i, r.RerankRank, i+1) + } + } +} + +// TestRerankEmpty tests reranking with empty input. +func TestRerankEmpty(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + defer svc.Close() + + results, err := svc.Rerank("test query", nil, 10) + if err != nil { + t.Fatalf("Rerank(nil) error = %v", err) + } + + if results != nil { + t.Errorf("Rerank(nil) = %v, want nil", results) + } + + results, err = svc.Rerank("test query", []Candidate{}, 10) + if err != nil { + t.Fatalf("Rerank([]) error = %v", err) + } + + if results != nil { + t.Errorf("Rerank([]) = %v, want nil", results) + } +} + +// TestRerankLimit tests that limit is respected. +func TestRerankLimit(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + defer svc.Close() + + candidates := make([]Candidate, 20) + for i := range candidates { + candidates[i] = Candidate{ + ID: string(rune('A' + i)), + Content: "Test document content for ranking.", + Score: 0.5, + } + } + + results, err := svc.Rerank("test query", candidates, 5) + if err != nil { + t.Fatalf("Rerank() error = %v", err) + } + + if len(results) != 5 { + t.Errorf("Rerank() returned %d results, want 5", len(results)) + } +} + +// TestRerankByScore tests pure cross-encoder ranking. +func TestRerankByScore(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + defer svc.Close() + + query := "machine learning algorithms" + candidates := []Candidate{ + { + ID: "1", + Content: "Cooking recipes for Italian pasta dishes.", + Score: 0.9, // High original score + }, + { + ID: "2", + Content: "Neural networks are a type of machine learning algorithm.", + Score: 0.3, // Low original score + }, + } + + results, err := svc.RerankByScore(query, candidates, 2) + if err != nil { + t.Fatalf("RerankByScore() error = %v", err) + } + + // Document 2 should rank first since it's about ML + if results[0].ID != "2" { + t.Errorf("Expected ML document to rank first, got %v", results[0].ID) + } + + // CombinedScore should equal RerankScore when using RerankByScore + for _, r := range results { + if r.CombinedScore != r.RerankScore { + t.Errorf("RerankByScore: CombinedScore (%v) != RerankScore (%v)", + r.CombinedScore, r.RerankScore) + } + } +} + +// TestRankImprovement tests that rank improvement is calculated correctly. +func TestRankImprovement(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + defer svc.Close() + + // Create candidates where we know the expected reranking + candidates := []Candidate{ + {ID: "A", Content: "Unrelated content about weather forecasting.", Score: 0.9}, + {ID: "B", Content: "How to fix memory leaks in Go programs.", Score: 0.8}, + {ID: "C", Content: "More unrelated content about gardening tips.", Score: 0.7}, + } + + results, err := svc.Rerank("debugging memory issues in Go", candidates, 3) + if err != nil { + t.Fatalf("Rerank() error = %v", err) + } + + for _, r := range results { + // RankImprovement = OriginalRank - RerankRank + // Positive means moved up, negative means moved down + expectedImprovement := r.OriginalRank - r.RerankRank + if r.RankImprovement != expectedImprovement { + t.Errorf("ID %s: RankImprovement = %d, want %d (orig=%d, new=%d)", + r.ID, r.RankImprovement, expectedImprovement, + r.OriginalRank, r.RerankRank) + } + } +} + +// TestConcurrentRerank tests concurrent reranking calls. +func TestConcurrentRerank(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + defer svc.Close() + + candidates := []Candidate{ + {ID: "1", Content: "Test document one.", Score: 0.5}, + {ID: "2", Content: "Test document two.", Score: 0.5}, + } + + var wg sync.WaitGroup + errors := make(chan error, 10) + + for i := 0; i < 10; i++ { + wg.Add(1) + go func(idx int) { + defer wg.Done() + _, err := svc.Rerank("concurrent test query", candidates, 2) + if err != nil { + errors <- err + } + }(i) + } + + wg.Wait() + close(errors) + + for err := range errors { + t.Errorf("Concurrent Rerank error: %v", err) + } +} + +// TestClose tests service cleanup. +func TestClose(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + + err = svc.Close() + if err != nil { + t.Errorf("Close() error = %v", err) + } + + // Double close should not panic + err = svc.Close() + if err != nil { + t.Errorf("Close() on closed service error = %v", err) + } +} + +// TestMetadataPreserved tests that metadata is preserved through reranking. +func TestMetadataPreserved(t *testing.T) { + cleanup := initONNX(t) + defer cleanup() + + cfg := DefaultConfig() + svc, err := NewService(cfg) + if err != nil { + t.Fatalf("NewService() error = %v", err) + } + defer svc.Close() + + candidates := []Candidate{ + { + ID: "1", + Content: "Test content.", + Score: 0.5, + Metadata: map[string]any{"custom": "value1", "num": 42}, + }, + { + ID: "2", + Content: "Another test.", + Score: 0.5, + Metadata: map[string]any{"custom": "value2"}, + }, + } + + results, err := svc.Rerank("query", candidates, 2) + if err != nil { + t.Fatalf("Rerank() error = %v", err) + } + + for _, r := range results { + if r.Metadata == nil { + t.Errorf("Result %s has nil metadata", r.ID) + continue + } + + // Find original candidate + var original *Candidate + for i := range candidates { + if candidates[i].ID == r.ID { + original = &candidates[i] + break + } + } + + if original == nil { + t.Errorf("Could not find original for result %s", r.ID) + continue + } + + // Check metadata preserved + if original.Metadata["custom"] != r.Metadata["custom"] { + t.Errorf("Metadata not preserved for %s", r.ID) + } + } +} diff --git a/internal/scoring/calculator.go b/internal/scoring/calculator.go new file mode 100644 index 0000000..8236ea1 --- /dev/null +++ b/internal/scoring/calculator.go @@ -0,0 +1,168 @@ +// Package scoring provides importance score calculation for observations. +package scoring + +import ( + "math" + "time" + + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// Calculator computes importance scores for observations. +type Calculator struct { + config *models.ScoringConfig +} + +// NewCalculator creates a new scoring calculator. +// If config is nil, uses the default configuration. +func NewCalculator(config *models.ScoringConfig) *Calculator { + if config == nil { + config = models.DefaultScoringConfig() + } + return &Calculator{config: config} +} + +// Calculate computes the importance score for an observation at the given time. +// +// The scoring formula: +// +// FinalScore = (BaseScore × TypeWeight × RecencyDecay) + FeedbackContrib + ConceptContrib + RetrievalContrib +// +// Where: +// - BaseScore = 1.0 +// - TypeWeight = observation type multiplier (e.g., bugfix=1.3, change=0.9) +// - RecencyDecay = 0.5^(age_days / half_life_days) - halves every 7 days by default +// - FeedbackContrib = user_feedback × feedback_weight +// - ConceptContrib = sum(concept_weights) × concept_weight_factor +// - RetrievalContrib = log2(retrieval_count + 1) × 0.1 × retrieval_weight +func (c *Calculator) Calculate(obs *models.Observation, now time.Time) float64 { + // 1. Get base type weight + typeWeight := models.TypeBaseScore(obs.Type) + + // 2. Calculate recency decay: 0.5^(age_days / half_life_days) + ageDays := now.Sub(time.UnixMilli(obs.CreatedAtEpoch)).Hours() / 24.0 + if ageDays < 0 { + ageDays = 0 // Handle future timestamps gracefully + } + recencyDecay := math.Pow(0.5, ageDays/c.config.RecencyHalfLifeDays) + + // Core score = 1.0 × type_weight × recency_decay + coreScore := 1.0 * typeWeight * recencyDecay + + // 3. User feedback contribution: feedback × weight + feedbackContrib := float64(obs.UserFeedback) * c.config.FeedbackWeight + + // 4. Concept boost contribution: sum of matching concept weights × factor + conceptBoost := 0.0 + for _, concept := range obs.Concepts { + if weight, ok := c.config.ConceptWeights[concept]; ok { + conceptBoost += weight + } + } + conceptContrib := conceptBoost * c.config.ConceptWeight + + // 5. Retrieval boost: log2(count + 1) × 0.1 × weight (diminishing returns) + retrievalContrib := 0.0 + if obs.RetrievalCount > 0 { + // log2(count + 1) gives diminishing returns: 1→1, 3→2, 7→3, 15→4, etc. + retrievalBoost := math.Log2(float64(obs.RetrievalCount)+1) * 0.1 + retrievalContrib = retrievalBoost * c.config.RetrievalWeight + } + + // Final score with minimum threshold + finalScore := coreScore + feedbackContrib + conceptContrib + retrievalContrib + if finalScore < c.config.MinScore { + finalScore = c.config.MinScore + } + + return finalScore +} + +// CalculateComponents returns the individual components of the importance score. +// Useful for debugging and explaining scores to users. +func (c *Calculator) CalculateComponents(obs *models.Observation, now time.Time) ScoreComponents { + typeWeight := models.TypeBaseScore(obs.Type) + + ageDays := now.Sub(time.UnixMilli(obs.CreatedAtEpoch)).Hours() / 24.0 + if ageDays < 0 { + ageDays = 0 + } + recencyDecay := math.Pow(0.5, ageDays/c.config.RecencyHalfLifeDays) + + coreScore := 1.0 * typeWeight * recencyDecay + feedbackContrib := float64(obs.UserFeedback) * c.config.FeedbackWeight + + conceptBoost := 0.0 + for _, concept := range obs.Concepts { + if weight, ok := c.config.ConceptWeights[concept]; ok { + conceptBoost += weight + } + } + conceptContrib := conceptBoost * c.config.ConceptWeight + + retrievalContrib := 0.0 + if obs.RetrievalCount > 0 { + retrievalBoost := math.Log2(float64(obs.RetrievalCount)+1) * 0.1 + retrievalContrib = retrievalBoost * c.config.RetrievalWeight + } + + finalScore := coreScore + feedbackContrib + conceptContrib + retrievalContrib + if finalScore < c.config.MinScore { + finalScore = c.config.MinScore + } + + return ScoreComponents{ + TypeWeight: typeWeight, + RecencyDecay: recencyDecay, + CoreScore: coreScore, + FeedbackContrib: feedbackContrib, + ConceptContrib: conceptContrib, + RetrievalContrib: retrievalContrib, + FinalScore: finalScore, + AgeDays: ageDays, + } +} + +// ScoreComponents contains the breakdown of an importance score calculation. +type ScoreComponents struct { + TypeWeight float64 `json:"type_weight"` + RecencyDecay float64 `json:"recency_decay"` + CoreScore float64 `json:"core_score"` + FeedbackContrib float64 `json:"feedback_contrib"` + ConceptContrib float64 `json:"concept_contrib"` + RetrievalContrib float64 `json:"retrieval_contrib"` + FinalScore float64 `json:"final_score"` + AgeDays float64 `json:"age_days"` +} + +// BatchCalculate computes scores for multiple observations. +// Returns a map of observation ID to calculated score. +func (c *Calculator) BatchCalculate(observations []*models.Observation, now time.Time) map[int64]float64 { + scores := make(map[int64]float64, len(observations)) + for _, obs := range observations { + scores[obs.ID] = c.Calculate(obs, now) + } + return scores +} + +// RecalculateThreshold returns the minimum duration before an observation +// should have its score recalculated. This prevents excessive recalculation +// while ensuring scores stay reasonably fresh. +func (c *Calculator) RecalculateThreshold() time.Duration { + // Recalculate at most every 6 hours + // This balances freshness with performance + return 6 * time.Hour +} + +// UpdateConfig updates the calculator's scoring configuration. +// This allows runtime tuning of scoring parameters. +func (c *Calculator) UpdateConfig(config *models.ScoringConfig) { + if config != nil { + c.config = config + } +} + +// GetConfig returns the current scoring configuration. +func (c *Calculator) GetConfig() *models.ScoringConfig { + return c.config +} diff --git a/internal/scoring/calculator_test.go b/internal/scoring/calculator_test.go new file mode 100644 index 0000000..7ce2f52 --- /dev/null +++ b/internal/scoring/calculator_test.go @@ -0,0 +1,638 @@ +// Package scoring provides importance score calculation for observations. +package scoring + +import ( + "testing" + "time" + + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" + "github.com/stretchr/testify/assert" + "github.com/stretchr/testify/require" + "github.com/stretchr/testify/suite" +) + +// CalculatorSuite is a test suite for the Calculator. +type CalculatorSuite struct { + suite.Suite + calc *Calculator + config *models.ScoringConfig + now time.Time +} + +func (s *CalculatorSuite) SetupTest() { + s.config = models.DefaultScoringConfig() + s.calc = NewCalculator(s.config) + s.now = time.Date(2025, 1, 15, 12, 0, 0, 0, time.UTC) +} + +func TestCalculatorSuite(t *testing.T) { + suite.Run(t, new(CalculatorSuite)) +} + +// ============================================================================= +// GOOD SCENARIOS - Expected normal operations +// ============================================================================= + +func (s *CalculatorSuite) TestCalculate_GoodScenarios_NewObservation() { + // A brand new observation should have score close to type weight + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: s.now.UnixMilli(), + } + + score := s.calc.Calculate(obs, s.now) + + // Expected: 1.0 × 1.3 (bugfix weight) × 1.0 (no decay) = 1.3 + s.InDelta(1.3, score, 0.01, "new bugfix should score ~1.3") +} + +func (s *CalculatorSuite) TestCalculate_GoodScenarios_OneWeekOld() { + // One week old observation should have half the recency score + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeDiscovery, + CreatedAtEpoch: s.now.Add(-7 * 24 * time.Hour).UnixMilli(), + } + + score := s.calc.Calculate(obs, s.now) + + // Expected: 1.0 × 1.1 (discovery) × 0.5 (7 days half-life) = 0.55 + s.InDelta(0.55, score, 0.05, "7-day old discovery should score ~0.55") +} + +func (s *CalculatorSuite) TestCalculate_GoodScenarios_TwoWeeksOld() { + // Two weeks old should have 1/4 recency score + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeFeature, + CreatedAtEpoch: s.now.Add(-14 * 24 * time.Hour).UnixMilli(), + } + + score := s.calc.Calculate(obs, s.now) + + // Expected: 1.0 × 1.2 (feature) × 0.25 (14 days = 2 half-lives) = 0.30 + s.InDelta(0.30, score, 0.05, "14-day old feature should score ~0.30") +} + +func (s *CalculatorSuite) TestCalculate_GoodScenarios_PositiveFeedback() { + // Positive feedback should boost score + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeChange, + CreatedAtEpoch: s.now.UnixMilli(), + UserFeedback: 1, // thumbs up + } + + score := s.calc.Calculate(obs, s.now) + + // Expected: (1.0 × 0.9) + 0.30 (feedback) = 1.20 + s.InDelta(1.20, score, 0.01, "thumbs up should boost score by 0.30") +} + +func (s *CalculatorSuite) TestCalculate_GoodScenarios_NegativeFeedback() { + // Negative feedback should reduce score + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeChange, + CreatedAtEpoch: s.now.UnixMilli(), + UserFeedback: -1, // thumbs down + } + + score := s.calc.Calculate(obs, s.now) + + // Expected: (1.0 × 0.9) - 0.30 (feedback) = 0.60 + s.InDelta(0.60, score, 0.01, "thumbs down should reduce score by 0.30") +} + +func (s *CalculatorSuite) TestCalculate_GoodScenarios_WithConcepts() { + // Observation with valuable concepts should get boost + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: s.now.UnixMilli(), + Concepts: []string{"security", "gotcha"}, + } + + score := s.calc.Calculate(obs, s.now) + + // Concept boost: (0.30 + 0.25) × 0.20 = 0.11 + // Expected: 1.3 + 0.11 = 1.41 + s.InDelta(1.41, score, 0.05, "security+gotcha concepts should boost score") +} + +func (s *CalculatorSuite) TestCalculate_GoodScenarios_WithRetrievals() { + // Popular observations should get retrieval boost + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeDiscovery, + CreatedAtEpoch: s.now.UnixMilli(), + RetrievalCount: 7, // log2(8) = 3 + } + + score := s.calc.Calculate(obs, s.now) + + // Retrieval boost: log2(7+1) × 0.1 × 0.15 = 3 × 0.1 × 0.15 = 0.045 + // Expected: 1.1 + 0.045 ≈ 1.145 + s.InDelta(1.145, score, 0.05, "7 retrievals should add small boost") +} + +func (s *CalculatorSuite) TestCalculate_GoodScenarios_CombinedFactors() { + // Test with all factors combined + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: s.now.Add(-7 * 24 * time.Hour).UnixMilli(), // 7 days old + UserFeedback: 1, + Concepts: []string{"security"}, + RetrievalCount: 3, + } + + score := s.calc.Calculate(obs, s.now) + + // Core: 1.0 × 1.3 × 0.5 = 0.65 + // Feedback: 0.30 + // Concept: 0.30 × 0.20 = 0.06 + // Retrieval: log2(4) × 0.1 × 0.15 = 2 × 0.1 × 0.15 = 0.03 + // Total ≈ 1.04 + s.InDelta(1.04, score, 0.1, "combined factors should result in ~1.04") +} + +// ============================================================================= +// WORSE SCENARIOS - Degraded but acceptable operations +// ============================================================================= + +func (s *CalculatorSuite) TestCalculate_WorseScenarios_VeryOldObservation() { + // Very old observation should have low but non-zero score + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeChange, + CreatedAtEpoch: s.now.Add(-90 * 24 * time.Hour).UnixMilli(), // 90 days old + } + + score := s.calc.Calculate(obs, s.now) + + // 90 days = ~12.86 half-lives → decay ≈ 0.00014 + // Core: 1.0 × 0.9 × 0.00014 = 0.000126 + // But minimum score is 0.01 + s.GreaterOrEqual(score, 0.01, "very old observation should still meet minimum") + s.Less(score, 0.1, "very old observation should be low scoring") +} + +func (s *CalculatorSuite) TestCalculate_WorseScenarios_NegativeFeedbackOld() { + // Old observation with negative feedback should still have minimum score + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeChange, + CreatedAtEpoch: s.now.Add(-60 * 24 * time.Hour).UnixMilli(), + UserFeedback: -1, + } + + score := s.calc.Calculate(obs, s.now) + + s.GreaterOrEqual(score, s.config.MinScore, "should never go below minimum score") +} + +func (s *CalculatorSuite) TestCalculate_WorseScenarios_UnknownConcepts() { + // Unknown concepts should not affect score negatively + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeDiscovery, + CreatedAtEpoch: s.now.UnixMilli(), + Concepts: []string{"unknown-concept", "another-unknown"}, + } + + score := s.calc.Calculate(obs, s.now) + + // Should just be the base score without concept boost + s.InDelta(1.1, score, 0.01, "unknown concepts should not affect score") +} + +func (s *CalculatorSuite) TestCalculate_WorseScenarios_MixedConcepts() { + // Mix of known and unknown concepts + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeDiscovery, + CreatedAtEpoch: s.now.UnixMilli(), + Concepts: []string{"security", "unknown-concept"}, + } + + score := s.calc.Calculate(obs, s.now) + + // Only security should contribute + // Expected: 1.1 + (0.30 × 0.20) = 1.16 + s.InDelta(1.16, score, 0.05, "only known concepts should boost score") +} + +// ============================================================================= +// BAD SCENARIOS - Edge cases and error conditions +// ============================================================================= + +func (s *CalculatorSuite) TestCalculate_BadScenarios_FutureTimestamp() { + // Observation created in the future (clock skew) + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: s.now.Add(24 * time.Hour).UnixMilli(), // 1 day in future + } + + score := s.calc.Calculate(obs, s.now) + + // Should handle gracefully - age should be 0 + s.InDelta(1.3, score, 0.01, "future timestamp should be treated as now") +} + +func (s *CalculatorSuite) TestCalculate_BadScenarios_ZeroEpoch() { + // Missing creation timestamp + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeDiscovery, + CreatedAtEpoch: 0, // Missing timestamp + } + + score := s.calc.Calculate(obs, s.now) + + // This will be treated as very old (1970) + s.GreaterOrEqual(score, s.config.MinScore, "should still meet minimum") +} + +func (s *CalculatorSuite) TestCalculate_BadScenarios_EmptyObservation() { + // Minimal observation with defaults + obs := &models.Observation{ + ID: 1, + Type: "", // Empty type + CreatedAtEpoch: s.now.UnixMilli(), + } + + score := s.calc.Calculate(obs, s.now) + + // Unknown type should default to 1.0 weight + s.InDelta(1.0, score, 0.01, "empty type should use default weight 1.0") +} + +func (s *CalculatorSuite) TestCalculate_BadScenarios_ExtremeRetrievalCount() { + // Very high retrieval count + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeDiscovery, + CreatedAtEpoch: s.now.UnixMilli(), + RetrievalCount: 1000000, // Extreme value + } + + score := s.calc.Calculate(obs, s.now) + + // log2(1000001) ≈ 19.93, so boost = 19.93 × 0.1 × 0.15 ≈ 0.30 + // Score should be reasonable, not exploding + s.Less(score, 2.0, "extreme retrieval count should not explode score") +} + +func (s *CalculatorSuite) TestCalculate_BadScenarios_NegativeRetrievalCount() { + // Negative retrieval count (should not happen but test defensively) + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeDiscovery, + CreatedAtEpoch: s.now.UnixMilli(), + RetrievalCount: -5, + } + + score := s.calc.Calculate(obs, s.now) + + // Should not panic and should give base score + s.InDelta(1.1, score, 0.01, "negative retrieval should be ignored") +} + +// ============================================================================= +// EDGE CASES - Boundary conditions +// ============================================================================= + +func (s *CalculatorSuite) TestCalculate_EdgeCases_ExactlyOneHalfLife() { + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeChange, // 0.9 weight + CreatedAtEpoch: s.now.Add(-7 * 24 * time.Hour).UnixMilli(), + } + + score := s.calc.Calculate(obs, s.now) + s.InDelta(0.45, score, 0.01, "exactly 7 days should give 0.5 decay") +} + +func (s *CalculatorSuite) TestCalculate_EdgeCases_ExactlyTwoHalfLives() { + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeChange, + CreatedAtEpoch: s.now.Add(-14 * 24 * time.Hour).UnixMilli(), + } + + score := s.calc.Calculate(obs, s.now) + s.InDelta(0.225, score, 0.01, "exactly 14 days should give 0.25 decay") +} + +func (s *CalculatorSuite) TestCalculate_EdgeCases_AllTypeWeights() { + types := []struct { + t models.ObservationType + weight float64 + }{ + {models.ObsTypeBugfix, 1.3}, + {models.ObsTypeFeature, 1.2}, + {models.ObsTypeDiscovery, 1.1}, + {models.ObsTypeDecision, 1.1}, + {models.ObsTypeRefactor, 1.0}, + {models.ObsTypeChange, 0.9}, + } + + for _, tt := range types { + s.Run(string(tt.t), func() { + obs := &models.Observation{ + ID: 1, + Type: tt.t, + CreatedAtEpoch: s.now.UnixMilli(), + } + score := s.calc.Calculate(obs, s.now) + s.InDelta(tt.weight, score, 0.01) + }) + } +} + +func (s *CalculatorSuite) TestCalculate_EdgeCases_MinimumScoreEnforced() { + // Create worst case scenario + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeChange, // Lowest weight 0.9 + CreatedAtEpoch: time.Date(2000, 1, 1, 0, 0, 0, 0, time.UTC).UnixMilli(), // Very old + UserFeedback: -1, // Negative feedback + } + + score := s.calc.Calculate(obs, s.now) + + s.Equal(s.config.MinScore, score, "should be exactly minimum score") +} + +func (s *CalculatorSuite) TestCalculate_EdgeCases_AllConceptsMaxWeight() { + // Observation with all high-value concepts + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: s.now.UnixMilli(), + Concepts: []string{"security", "gotcha", "best-practice", "anti-pattern"}, + } + + score := s.calc.Calculate(obs, s.now) + + // security=0.30, gotcha=0.25, best-practice=0.20, anti-pattern=0.20 = 0.95 + // Concept contrib: 0.95 × 0.20 = 0.19 + // Total: 1.3 + 0.19 = 1.49 + s.InDelta(1.49, score, 0.05, "all high-value concepts should boost significantly") +} + +// ============================================================================= +// CALCULATE COMPONENTS TESTS +// ============================================================================= + +func (s *CalculatorSuite) TestCalculateComponents_ReturnsAllComponents() { + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: s.now.Add(-7 * 24 * time.Hour).UnixMilli(), + UserFeedback: 1, + Concepts: []string{"security"}, + RetrievalCount: 7, + } + + components := s.calc.CalculateComponents(obs, s.now) + + s.InDelta(1.3, components.TypeWeight, 0.01) + s.InDelta(0.5, components.RecencyDecay, 0.01) + s.InDelta(0.65, components.CoreScore, 0.05) + s.InDelta(0.30, components.FeedbackContrib, 0.01) + s.InDelta(0.06, components.ConceptContrib, 0.02) + s.Greater(components.RetrievalContrib, 0.0) + s.InDelta(7.0, components.AgeDays, 0.1) + s.Greater(components.FinalScore, 0.0) +} + +func (s *CalculatorSuite) TestCalculateComponents_MatchesCalculate() { + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeFeature, + CreatedAtEpoch: s.now.Add(-3 * 24 * time.Hour).UnixMilli(), + UserFeedback: -1, + Concepts: []string{"performance", "architecture"}, + RetrievalCount: 15, + } + + score := s.calc.Calculate(obs, s.now) + components := s.calc.CalculateComponents(obs, s.now) + + s.InDelta(score, components.FinalScore, 0.001, "Calculate and CalculateComponents should match") +} + +// ============================================================================= +// BATCH CALCULATE TESTS +// ============================================================================= + +func (s *CalculatorSuite) TestBatchCalculate_Empty() { + scores := s.calc.BatchCalculate(nil, s.now) + s.Empty(scores) + + scores = s.calc.BatchCalculate([]*models.Observation{}, s.now) + s.Empty(scores) +} + +func (s *CalculatorSuite) TestBatchCalculate_Multiple() { + obs := []*models.Observation{ + {ID: 1, Type: models.ObsTypeBugfix, CreatedAtEpoch: s.now.UnixMilli()}, + {ID: 2, Type: models.ObsTypeFeature, CreatedAtEpoch: s.now.Add(-7 * 24 * time.Hour).UnixMilli()}, + {ID: 3, Type: models.ObsTypeChange, CreatedAtEpoch: s.now.Add(-14 * 24 * time.Hour).UnixMilli()}, + } + + scores := s.calc.BatchCalculate(obs, s.now) + + s.Len(scores, 3) + s.Contains(scores, int64(1)) + s.Contains(scores, int64(2)) + s.Contains(scores, int64(3)) + + s.InDelta(1.3, scores[1], 0.01) // New bugfix + s.InDelta(0.6, scores[2], 0.1) // 7-day feature + s.InDelta(0.225, scores[3], 0.05) // 14-day change +} + +// ============================================================================= +// CONFIGURATION TESTS +// ============================================================================= + +func (s *CalculatorSuite) TestNewCalculator_NilConfig() { + calc := NewCalculator(nil) + s.NotNil(calc) + s.NotNil(calc.config) + s.Equal(7.0, calc.config.RecencyHalfLifeDays) +} + +func (s *CalculatorSuite) TestUpdateConfig() { + newConfig := &models.ScoringConfig{ + RecencyHalfLifeDays: 14.0, // Changed from 7 + FeedbackWeight: 0.50, + ConceptWeight: 0.10, + RetrievalWeight: 0.05, + MinScore: 0.001, + ConceptWeights: map[string]float64{"test": 0.5}, + } + + s.calc.UpdateConfig(newConfig) + + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeChange, + CreatedAtEpoch: s.now.Add(-14 * 24 * time.Hour).UnixMilli(), + } + + score := s.calc.Calculate(obs, s.now) + + // With 14-day half-life, 14 days = exactly one half-life + // Expected: 1.0 × 0.9 × 0.5 = 0.45 + s.InDelta(0.45, score, 0.01) +} + +func (s *CalculatorSuite) TestUpdateConfig_NilIgnored() { + originalConfig := s.calc.GetConfig() + s.calc.UpdateConfig(nil) + s.Equal(originalConfig, s.calc.GetConfig()) +} + +func (s *CalculatorSuite) TestGetConfig() { + config := s.calc.GetConfig() + s.NotNil(config) + s.Equal(7.0, config.RecencyHalfLifeDays) +} + +func (s *CalculatorSuite) TestRecalculateThreshold() { + threshold := s.calc.RecalculateThreshold() + s.Equal(6*time.Hour, threshold) +} + +// ============================================================================= +// STANDALONE TESTS (non-suite) +// ============================================================================= + +func TestNewCalculator_DefaultConfig(t *testing.T) { + calc := NewCalculator(nil) + require.NotNil(t, calc) + assert.Equal(t, 7.0, calc.config.RecencyHalfLifeDays) + assert.Equal(t, 0.30, calc.config.FeedbackWeight) + assert.Equal(t, 0.01, calc.config.MinScore) +} + +func TestCalculator_ConcurrentAccess(t *testing.T) { + calc := NewCalculator(nil) + now := time.Now() + + // Test that calculator is safe for concurrent reads + done := make(chan bool, 10) + for i := 0; i < 10; i++ { + go func(id int64) { + obs := &models.Observation{ + ID: id, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: now.UnixMilli(), + } + score := calc.Calculate(obs, now) + assert.Greater(t, score, 0.0) + done <- true + }(int64(i)) + } + + for i := 0; i < 10; i++ { + <-done + } +} + +func TestCalculator_DecayPrecision(t *testing.T) { + calc := NewCalculator(nil) + now := time.Now() + + // Test that decay is mathematically correct + testCases := []struct { + days int + expectedDecay float64 + }{ + {0, 1.0}, + {7, 0.5}, + {14, 0.25}, + {21, 0.125}, + {28, 0.0625}, + } + + for _, tc := range testCases { + t.Run(string(rune('0'+tc.days/7))+"_half_lives", func(t *testing.T) { + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeRefactor, // 1.0 weight + CreatedAtEpoch: now.Add(-time.Duration(tc.days) * 24 * time.Hour).UnixMilli(), + } + components := calc.CalculateComponents(obs, now) + assert.InDelta(t, tc.expectedDecay, components.RecencyDecay, 0.001) + }) + } +} + +func TestTypeBaseScore_UnknownType(t *testing.T) { + score := models.TypeBaseScore("unknown-type") + assert.Equal(t, 1.0, score, "unknown type should default to 1.0") +} + +func TestTypeBaseScore_AllKnownTypes(t *testing.T) { + expected := map[models.ObservationType]float64{ + models.ObsTypeBugfix: 1.3, + models.ObsTypeFeature: 1.2, + models.ObsTypeDiscovery: 1.1, + models.ObsTypeDecision: 1.1, + models.ObsTypeRefactor: 1.0, + models.ObsTypeChange: 0.9, + } + + for obsType, expectedScore := range expected { + t.Run(string(obsType), func(t *testing.T) { + score := models.TypeBaseScore(obsType) + assert.Equal(t, expectedScore, score) + }) + } +} + +func TestCalculator_RetrievalBoostDiminishingReturns(t *testing.T) { + calc := NewCalculator(nil) + now := time.Now() + + // Test that retrieval boost has diminishing returns + // When retrieval count doubles, the boost should NOT double (log2 gives diminishing returns) + + // Collect boosts for different counts + boosts := make([]float64, 0) + retrievalCounts := []int{1, 3, 7, 15, 31, 63, 127} + + for _, count := range retrievalCounts { + obs := &models.Observation{ + ID: 1, + Type: models.ObsTypeRefactor, + CreatedAtEpoch: now.UnixMilli(), + RetrievalCount: count, + } + components := calc.CalculateComponents(obs, now) + boosts = append(boosts, components.RetrievalContrib) + } + + // Verify boost increases but at a decreasing rate + for i := 1; i < len(boosts); i++ { + // Each boost should be higher than the previous + assert.Greater(t, boosts[i], boosts[i-1], + "boost should increase with more retrievals") + + // But not proportionally - calculate the ratios + if i >= 2 { + ratio1 := boosts[i-1] / boosts[i-2] + ratio2 := boosts[i] / boosts[i-1] + // The growth ratio should be decreasing (diminishing returns) + assert.Less(t, ratio2, ratio1+0.01, // Allow small floating point tolerance + "growth rate should decrease (diminishing returns)") + } + } +} diff --git a/internal/scoring/recalculator.go b/internal/scoring/recalculator.go new file mode 100644 index 0000000..bd88ffe --- /dev/null +++ b/internal/scoring/recalculator.go @@ -0,0 +1,186 @@ +// Package scoring provides importance score calculation for observations. +package scoring + +import ( + "context" + "sync" + "time" + + "github.com/rs/zerolog" + + "github.com/lukaszraczylo/claude-mnemonic/internal/db/sqlite" + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// ObservationStore defines the interface for observation storage operations needed by the recalculator. +type ObservationStore interface { + GetObservationsNeedingScoreUpdate(ctx context.Context, threshold time.Duration, limit int) ([]*models.Observation, error) + UpdateImportanceScores(ctx context.Context, scores map[int64]float64) error + GetConceptWeights(ctx context.Context) (map[string]float64, error) +} + +// Recalculator periodically recalculates importance scores for observations. +type Recalculator struct { + store ObservationStore + calculator *Calculator + log zerolog.Logger + interval time.Duration + batchSize int + stopCh chan struct{} + doneCh chan struct{} + mu sync.Mutex + running bool +} + +// NewRecalculator creates a new background recalculator. +func NewRecalculator(store ObservationStore, calc *Calculator, log zerolog.Logger) *Recalculator { + return &Recalculator{ + store: store, + calculator: calc, + log: log.With().Str("component", "recalculator").Logger(), + interval: 1 * time.Hour, // Run every hour + batchSize: 500, // Process 500 observations at a time + stopCh: make(chan struct{}), + doneCh: make(chan struct{}), + } +} + +// Start begins the background recalculation loop. +// This should be called in a goroutine. +func (r *Recalculator) Start(ctx context.Context) { + r.mu.Lock() + if r.running { + r.mu.Unlock() + return + } + r.running = true + r.mu.Unlock() + + defer func() { + r.mu.Lock() + r.running = false + r.mu.Unlock() + close(r.doneCh) + }() + + // Initial run + r.recalculate(ctx) + + r.mu.Lock() + interval := r.interval + r.mu.Unlock() + + ticker := time.NewTicker(interval) + defer ticker.Stop() + + for { + select { + case <-ctx.Done(): + r.log.Info().Msg("recalculator shutting down due to context cancellation") + return + case <-r.stopCh: + r.log.Info().Msg("recalculator stopping") + return + case <-ticker.C: + r.recalculate(ctx) + } + } +} + +// Stop stops the background recalculation loop. +func (r *Recalculator) Stop() { + r.mu.Lock() + if !r.running { + r.mu.Unlock() + return + } + r.mu.Unlock() + + close(r.stopCh) + <-r.doneCh +} + +// recalculate performs a single recalculation batch. +func (r *Recalculator) recalculate(ctx context.Context) { + now := time.Now() + threshold := r.calculator.RecalculateThreshold() + + r.mu.Lock() + batchSize := r.batchSize + r.mu.Unlock() + + observations, err := r.store.GetObservationsNeedingScoreUpdate(ctx, threshold, batchSize) + if err != nil { + r.log.Error().Err(err).Msg("failed to get observations for score update") + return + } + + if len(observations) == 0 { + return + } + + scores := r.calculator.BatchCalculate(observations, now) + + if err := r.store.UpdateImportanceScores(ctx, scores); err != nil { + r.log.Error().Err(err).Msg("failed to update importance scores") + return + } + + r.log.Info(). + Int("count", len(scores)). + Dur("elapsed", time.Since(now)). + Msg("recalculated importance scores") +} + +// RecalculateNow triggers an immediate recalculation. +// This is useful for testing or when scores need to be updated urgently. +func (r *Recalculator) RecalculateNow(ctx context.Context) error { + r.recalculate(ctx) + return nil +} + +// RefreshConceptWeights reloads concept weights from the database. +// Call this after updating concept weights to apply changes. +func (r *Recalculator) RefreshConceptWeights(ctx context.Context) error { + weights, err := r.store.GetConceptWeights(ctx) + if err != nil { + return err + } + + config := r.calculator.GetConfig() + config.ConceptWeights = weights + r.calculator.UpdateConfig(config) + + r.log.Info().Int("count", len(weights)).Msg("refreshed concept weights") + return nil +} + +// Stats returns statistics about the recalculator. +type Stats struct { + Running bool `json:"running"` + Interval time.Duration `json:"interval"` + BatchSize int `json:"batch_size"` + HalfLife float64 `json:"half_life_days"` + MinScore float64 `json:"min_score"` + ConceptsLen int `json:"concepts_count"` +} + +// GetStats returns current recalculator statistics. +func (r *Recalculator) GetStats() Stats { + r.mu.Lock() + defer r.mu.Unlock() + + config := r.calculator.GetConfig() + + return Stats{ + Running: r.running, + Interval: r.interval, + BatchSize: r.batchSize, + HalfLife: config.RecencyHalfLifeDays, + MinScore: config.MinScore, + ConceptsLen: len(config.ConceptWeights), + } +} + +// Ensure ObservationStore satisfies the interface +var _ ObservationStore = (*sqlite.ObservationStore)(nil) diff --git a/internal/scoring/recalculator_test.go b/internal/scoring/recalculator_test.go new file mode 100644 index 0000000..6fff695 --- /dev/null +++ b/internal/scoring/recalculator_test.go @@ -0,0 +1,447 @@ +// Package scoring provides importance score calculation for observations. +package scoring + +import ( + "context" + "sync" + "testing" + "time" + + "github.com/rs/zerolog" + "github.com/stretchr/testify/assert" + "github.com/stretchr/testify/require" + + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// MockObservationStore is a mock implementation of ObservationStore for testing. +type MockObservationStore struct { + mu sync.Mutex + observations []*models.Observation + scores map[int64]float64 + conceptWeights map[string]float64 + updateErr error + getErr error + getConceptsErr error + updateScoresCalls int +} + +func NewMockObservationStore() *MockObservationStore { + return &MockObservationStore{ + observations: []*models.Observation{}, + scores: make(map[int64]float64), + conceptWeights: make(map[string]float64), + } +} + +func (m *MockObservationStore) GetObservationsNeedingScoreUpdate(ctx context.Context, threshold time.Duration, limit int) ([]*models.Observation, error) { + m.mu.Lock() + defer m.mu.Unlock() + + if m.getErr != nil { + return nil, m.getErr + } + + // Return observations that haven't been updated within threshold + now := time.Now() + var result []*models.Observation + for _, obs := range m.observations { + if !obs.ScoreUpdatedAt.Valid || now.Sub(time.Unix(obs.ScoreUpdatedAt.Int64, 0)) > threshold { + result = append(result, obs) + if len(result) >= limit { + break + } + } + } + return result, nil +} + +func (m *MockObservationStore) UpdateImportanceScores(ctx context.Context, scores map[int64]float64) error { + m.mu.Lock() + defer m.mu.Unlock() + + m.updateScoresCalls++ + if m.updateErr != nil { + return m.updateErr + } + + for id, score := range scores { + m.scores[id] = score + } + return nil +} + +func (m *MockObservationStore) GetConceptWeights(ctx context.Context) (map[string]float64, error) { + m.mu.Lock() + defer m.mu.Unlock() + + if m.getConceptsErr != nil { + return nil, m.getConceptsErr + } + return m.conceptWeights, nil +} + +func (m *MockObservationStore) AddObservation(obs *models.Observation) { + m.mu.Lock() + defer m.mu.Unlock() + m.observations = append(m.observations, obs) +} + +func (m *MockObservationStore) SetConceptWeights(weights map[string]float64) { + m.mu.Lock() + defer m.mu.Unlock() + m.conceptWeights = weights +} + +func (m *MockObservationStore) GetScore(id int64) (float64, bool) { + m.mu.Lock() + defer m.mu.Unlock() + score, ok := m.scores[id] + return score, ok +} + +func (m *MockObservationStore) GetUpdateScoresCalls() int { + m.mu.Lock() + defer m.mu.Unlock() + return m.updateScoresCalls +} + +func (m *MockObservationStore) SetUpdateError(err error) { + m.mu.Lock() + defer m.mu.Unlock() + m.updateErr = err +} + +func (m *MockObservationStore) SetGetError(err error) { + m.mu.Lock() + defer m.mu.Unlock() + m.getErr = err +} + +// ============================================================================= +// RECALCULATOR TESTS +// ============================================================================= + +func TestNewRecalculator(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + + recalc := NewRecalculator(store, calc, log) + + require.NotNil(t, recalc) + assert.NotNil(t, recalc.store) + assert.NotNil(t, recalc.calculator) + assert.Equal(t, 1*time.Hour, recalc.interval) + assert.Equal(t, 500, recalc.batchSize) + assert.False(t, recalc.running) +} + +func TestRecalculator_RecalculateNow(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + // Add observations + now := time.Now() + store.AddObservation(&models.Observation{ + ID: 1, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: now.UnixMilli(), + }) + store.AddObservation(&models.Observation{ + ID: 2, + Type: models.ObsTypeFeature, + CreatedAtEpoch: now.Add(-7 * 24 * time.Hour).UnixMilli(), + }) + + ctx := context.Background() + err := recalc.RecalculateNow(ctx) + + require.NoError(t, err) + + // Verify scores were calculated + score1, ok := store.GetScore(1) + assert.True(t, ok) + assert.Greater(t, score1, 0.0) + + score2, ok := store.GetScore(2) + assert.True(t, ok) + assert.Greater(t, score2, 0.0) + assert.Less(t, score2, score1, "older observation should have lower score") +} + +func TestRecalculator_RefreshConceptWeights(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + // Set up custom weights in store + customWeights := map[string]float64{ + "security": 0.50, + "performance": 0.25, + } + store.SetConceptWeights(customWeights) + + ctx := context.Background() + err := recalc.RefreshConceptWeights(ctx) + + require.NoError(t, err) + + // Verify weights were updated in calculator config + config := calc.GetConfig() + assert.Equal(t, 0.50, config.ConceptWeights["security"]) + assert.Equal(t, 0.25, config.ConceptWeights["performance"]) +} + +func TestRecalculator_RefreshConceptWeights_Error(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + store.getConceptsErr = assert.AnError + + ctx := context.Background() + err := recalc.RefreshConceptWeights(ctx) + + require.Error(t, err) +} + +func TestRecalculator_GetStats(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + // Set fields directly for testing + recalc.interval = 2 * time.Hour + recalc.batchSize = 250 + + stats := recalc.GetStats() + + assert.False(t, stats.Running) + assert.Equal(t, 2*time.Hour, stats.Interval) + assert.Equal(t, 250, stats.BatchSize) + assert.Equal(t, 7.0, stats.HalfLife) + assert.Equal(t, 0.01, stats.MinScore) +} + +func TestRecalculator_StartStop(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + // Use a short interval for testing + recalc.interval = 50 * time.Millisecond + + // Add an observation + store.AddObservation(&models.Observation{ + ID: 1, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: time.Now().UnixMilli(), + }) + + ctx, cancel := context.WithCancel(context.Background()) + defer cancel() + + // Start in goroutine + go recalc.Start(ctx) + + // Wait for initial run and at least one tick + time.Sleep(100 * time.Millisecond) + + // Verify it ran + calls := store.GetUpdateScoresCalls() + assert.GreaterOrEqual(t, calls, 1, "should have run at least once") + + // Stop via context cancellation + cancel() + time.Sleep(100 * time.Millisecond) + + // Verify stopped + stats := recalc.GetStats() + assert.False(t, stats.Running) +} + +func TestRecalculator_StartTwice(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + recalc.interval = 1 * time.Hour // Long interval so it doesn't tick during test + + ctx, cancel := context.WithCancel(context.Background()) + defer cancel() + + // Start first time + go recalc.Start(ctx) + time.Sleep(50 * time.Millisecond) + + // Try to start second time (should return immediately) + go recalc.Start(ctx) + time.Sleep(50 * time.Millisecond) + + // Should still be running (only once) + stats := recalc.GetStats() + assert.True(t, stats.Running) + + cancel() +} + +func TestRecalculator_StopWhenNotRunning(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + // Stop without starting - should not panic + recalc.Stop() + + stats := recalc.GetStats() + assert.False(t, stats.Running) +} + +func TestRecalculator_EmptyStore(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + ctx := context.Background() + err := recalc.RecalculateNow(ctx) + + require.NoError(t, err) + assert.Equal(t, 0, store.GetUpdateScoresCalls(), "should not call update with no observations") +} + +func TestRecalculator_GetObservationsError(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + store.SetGetError(assert.AnError) + + ctx := context.Background() + err := recalc.RecalculateNow(ctx) + + // Should not return error (logs it instead) + require.NoError(t, err) + assert.Equal(t, 0, store.GetUpdateScoresCalls()) +} + +func TestRecalculator_UpdateScoresError(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + store.AddObservation(&models.Observation{ + ID: 1, + Type: models.ObsTypeBugfix, + CreatedAtEpoch: time.Now().UnixMilli(), + }) + + store.SetUpdateError(assert.AnError) + + ctx := context.Background() + err := recalc.RecalculateNow(ctx) + + // Should not return error (logs it instead) + require.NoError(t, err) + assert.Equal(t, 1, store.GetUpdateScoresCalls()) +} + +func TestRecalculator_BatchProcessing(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + // Set small batch size + recalc.batchSize = 3 + + // Add 5 observations + now := time.Now() + for i := 1; i <= 5; i++ { + store.AddObservation(&models.Observation{ + ID: int64(i), + Type: models.ObsTypeBugfix, + CreatedAtEpoch: now.UnixMilli(), + }) + } + + ctx := context.Background() + err := recalc.RecalculateNow(ctx) + + require.NoError(t, err) + + // Should only process batch size (3) + scores := 0 + for i := 1; i <= 5; i++ { + if _, ok := store.GetScore(int64(i)); ok { + scores++ + } + } + assert.Equal(t, 3, scores, "should only process batch size observations") +} + +func TestRecalculator_ConcurrentAccess(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + // Add observations + now := time.Now() + for i := 1; i <= 10; i++ { + store.AddObservation(&models.Observation{ + ID: int64(i), + Type: models.ObsTypeBugfix, + CreatedAtEpoch: now.UnixMilli(), + }) + } + + ctx := context.Background() + var wg sync.WaitGroup + + // Run multiple recalculations concurrently + for i := 0; i < 5; i++ { + wg.Add(1) + go func() { + defer wg.Done() + _ = recalc.RecalculateNow(ctx) + }() + } + + wg.Wait() + + // Should complete without race conditions + // (use -race flag to verify) + assert.GreaterOrEqual(t, store.GetUpdateScoresCalls(), 1) +} + +func TestRecalculator_StatsThreadSafe(t *testing.T) { + store := NewMockObservationStore() + calc := NewCalculator(nil) + log := zerolog.Nop() + recalc := NewRecalculator(store, calc, log) + + var wg sync.WaitGroup + + // Concurrent reads (use -race flag to verify) + for i := 0; i < 10; i++ { + wg.Add(1) + go func() { + defer wg.Done() + _ = recalc.GetStats() + }() + } + + wg.Wait() +} diff --git a/internal/search/expansion/expander.go b/internal/search/expansion/expander.go new file mode 100644 index 0000000..be1ab6e --- /dev/null +++ b/internal/search/expansion/expander.go @@ -0,0 +1,448 @@ +// Package expansion provides context-aware query expansion for improved search recall. +package expansion + +import ( + "context" + "regexp" + "strings" + "sync" + + "github.com/lukaszraczylo/claude-mnemonic/internal/embedding" + "github.com/rs/zerolog/log" +) + +// QueryIntent represents the detected intent of a query. +type QueryIntent string + +const ( + // IntentQuestion indicates a question-type query (how, why, what, etc.) + IntentQuestion QueryIntent = "question" + // IntentError indicates an error/debugging query + IntentError QueryIntent = "error" + // IntentImplementation indicates an implementation/coding query + IntentImplementation QueryIntent = "implementation" + // IntentArchitecture indicates an architecture/design query + IntentArchitecture QueryIntent = "architecture" + // IntentGeneral indicates a general lookup query + IntentGeneral QueryIntent = "general" +) + +// ExpandedQuery represents a query variant with metadata. +type ExpandedQuery struct { + Query string `json:"query"` + Weight float64 `json:"weight"` // Weight for result merging (0.0-1.0) + Source string `json:"source"` // Where this expansion came from + Intent QueryIntent `json:"intent"` // Detected intent +} + +// Expander provides context-aware query expansion. +type Expander struct { + embedSvc *embedding.Service + vocabulary []VocabEntry // Known vocabulary from observations + vocabVectors [][]float32 // Embeddings for vocabulary entries + vocabMu sync.RWMutex // Protects vocabulary + intentPatterns map[QueryIntent][]*regexp.Regexp +} + +// VocabEntry represents a vocabulary term from observations. +type VocabEntry struct { + Term string // The term itself + Weight float64 // How common/important this term is (0.0-1.0) + Source string // Where it came from (title, concept, narrative) +} + +// Config holds expander configuration. +type Config struct { + // MaxExpansions limits the number of expanded queries returned + MaxExpansions int + // MinSimilarity is the minimum similarity score for vocabulary expansion + MinSimilarity float64 + // EnableVocabularyExpansion enables finding related terms from observations + EnableVocabularyExpansion bool +} + +// DefaultConfig returns sensible default configuration. +func DefaultConfig() Config { + return Config{ + MaxExpansions: 4, + MinSimilarity: 0.5, + EnableVocabularyExpansion: true, + } +} + +// NewExpander creates a new query expander. +func NewExpander(embedSvc *embedding.Service) *Expander { + e := &Expander{ + embedSvc: embedSvc, + intentPatterns: buildIntentPatterns(), + } + return e +} + +// buildIntentPatterns creates regex patterns for intent detection. +func buildIntentPatterns() map[QueryIntent][]*regexp.Regexp { + patterns := make(map[QueryIntent][]*regexp.Regexp) + + // Question patterns + patterns[IntentQuestion] = []*regexp.Regexp{ + regexp.MustCompile(`(?i)^(how|why|what|when|where|which|who)\b`), + regexp.MustCompile(`(?i)\?$`), + regexp.MustCompile(`(?i)\b(explain|describe|understand)\b`), + } + + // Error/debugging patterns + patterns[IntentError] = []*regexp.Regexp{ + regexp.MustCompile(`(?i)\b(error|bug|issue|problem|fail|crash|exception|panic)\b`), + regexp.MustCompile(`(?i)\b(fix|debug|troubleshoot|resolve)\b`), + regexp.MustCompile(`(?i)\b(doesn't work|not working|broken)\b`), + } + + // Implementation patterns + patterns[IntentImplementation] = []*regexp.Regexp{ + regexp.MustCompile(`(?i)\b(implement|add|create|build|write|code)\b`), + regexp.MustCompile(`(?i)\b(function|method|handler|endpoint|api)\b`), + regexp.MustCompile(`(?i)\b(feature|functionality)\b`), + } + + // Architecture patterns + patterns[IntentArchitecture] = []*regexp.Regexp{ + regexp.MustCompile(`(?i)\b(architecture|design|pattern|structure)\b`), + regexp.MustCompile(`(?i)\b(component|module|layer|service)\b`), + regexp.MustCompile(`(?i)\b(flow|pipeline|workflow)\b`), + } + + return patterns +} + +// DetectIntent analyzes a query to determine its intent. +func (e *Expander) DetectIntent(query string) QueryIntent { + query = strings.TrimSpace(query) + if query == "" { + return IntentGeneral + } + + // Check patterns in priority order + intentOrder := []QueryIntent{IntentError, IntentQuestion, IntentImplementation, IntentArchitecture} + + for _, intent := range intentOrder { + patterns := e.intentPatterns[intent] + for _, pattern := range patterns { + if pattern.MatchString(query) { + return intent + } + } + } + + return IntentGeneral +} + +// Expand generates expanded query variants based on the original query. +func (e *Expander) Expand(ctx context.Context, query string, cfg Config) []ExpandedQuery { + query = strings.TrimSpace(query) + if query == "" { + return nil + } + + intent := e.DetectIntent(query) + expansions := make([]ExpandedQuery, 0, cfg.MaxExpansions) + + // Always include the original query with highest weight + expansions = append(expansions, ExpandedQuery{ + Query: query, + Weight: 1.0, + Source: "original", + Intent: intent, + }) + + // Generate intent-based expansions + intentExpansions := e.expandByIntent(query, intent) + expansions = append(expansions, intentExpansions...) + + // Generate vocabulary-based expansions if enabled and we have vocabulary + if cfg.EnableVocabularyExpansion && e.embedSvc != nil && len(e.vocabulary) > 0 { + vocabExpansions := e.expandByVocabulary(ctx, query, cfg.MinSimilarity) + expansions = append(expansions, vocabExpansions...) + } + + // Deduplicate and limit + expansions = deduplicateExpansions(expansions) + if len(expansions) > cfg.MaxExpansions { + expansions = expansions[:cfg.MaxExpansions] + } + + log.Debug(). + Str("query", truncate(query, 50)). + Str("intent", string(intent)). + Int("expansions", len(expansions)). + Msg("Query expanded") + + return expansions +} + +// expandByIntent generates expansions based on detected query intent. +func (e *Expander) expandByIntent(query string, intent QueryIntent) []ExpandedQuery { + var expansions []ExpandedQuery + + // Extract key terms from query for context-aware expansion + keyTerms := extractKeyTerms(query) + + switch intent { + case IntentQuestion: + // For questions, create a declarative variant + declarative := makeDeclarative(query) + if declarative != query { + expansions = append(expansions, ExpandedQuery{ + Query: declarative, + Weight: 0.85, + Source: "intent:declarative", + Intent: intent, + }) + } + + case IntentError: + // For errors, expand with solution-oriented terms + if len(keyTerms) > 0 { + solutionQuery := strings.Join(keyTerms, " ") + " solution fix" + expansions = append(expansions, ExpandedQuery{ + Query: solutionQuery, + Weight: 0.8, + Source: "intent:solution", + Intent: intent, + }) + } + + case IntentImplementation: + // For implementation queries, focus on the what/how + if len(keyTerms) > 0 { + howQuery := "how " + strings.Join(keyTerms, " ") + expansions = append(expansions, ExpandedQuery{ + Query: howQuery, + Weight: 0.75, + Source: "intent:how", + Intent: intent, + }) + } + + case IntentArchitecture: + // For architecture queries, expand with design context + if len(keyTerms) > 0 { + designQuery := strings.Join(keyTerms, " ") + " design structure" + expansions = append(expansions, ExpandedQuery{ + Query: designQuery, + Weight: 0.75, + Source: "intent:design", + Intent: intent, + }) + } + + case IntentGeneral: + // For general queries, try noun phrase extraction + // No additional expansion - rely on vocabulary expansion + } + + return expansions +} + +// expandByVocabulary finds similar terms from the observation vocabulary. +func (e *Expander) expandByVocabulary(ctx context.Context, query string, minSimilarity float64) []ExpandedQuery { + e.vocabMu.RLock() + defer e.vocabMu.RUnlock() + + if len(e.vocabulary) == 0 || e.embedSvc == nil { + return nil + } + + // Embed the query + queryEmb, err := e.embedSvc.Embed(query) + if err != nil { + log.Warn().Err(err).Msg("Failed to embed query for vocabulary expansion") + return nil + } + + // Find similar vocabulary terms + type scoredTerm struct { + entry VocabEntry + score float64 + } + + var similar []scoredTerm + for i, entry := range e.vocabulary { + if i >= len(e.vocabVectors) { + break + } + + score := cosineSimilarity(queryEmb, e.vocabVectors[i]) + if score >= minSimilarity { + similar = append(similar, scoredTerm{entry: entry, score: score}) + } + } + + if len(similar) == 0 { + return nil + } + + // Sort by score (descending) using bubble sort + for i := 0; i < len(similar)-1; i++ { + for j := i + 1; j < len(similar); j++ { + if similar[j].score > similar[i].score { + similar[i], similar[j] = similar[j], similar[i] + } + } + } + + // Create expansion by combining top similar terms with query + var expansions []ExpandedQuery + if len(similar) > 0 { + // Take top 2 similar terms and combine with original key terms + keyTerms := extractKeyTerms(query) + for i := 0; i < min(2, len(similar)); i++ { + term := similar[i].entry.Term + // Don't add if term is already in query + if strings.Contains(strings.ToLower(query), strings.ToLower(term)) { + continue + } + + combinedQuery := strings.Join(keyTerms, " ") + " " + term + expansions = append(expansions, ExpandedQuery{ + Query: combinedQuery, + Weight: 0.7 * similar[i].score * similar[i].entry.Weight, + Source: "vocabulary:" + term, + Intent: IntentGeneral, + }) + } + } + + return expansions +} + +// Helper functions + +// extractKeyTerms extracts meaningful terms from a query. +func extractKeyTerms(query string) []string { + // Common stop words to filter out + stopWords := map[string]bool{ + "a": true, "an": true, "the": true, "is": true, "are": true, + "was": true, "were": true, "be": true, "been": true, "being": true, + "have": true, "has": true, "had": true, "do": true, "does": true, + "did": true, "will": true, "would": true, "could": true, "should": true, + "may": true, "might": true, "must": true, "can": true, + "i": true, "me": true, "my": true, "we": true, "our": true, + "you": true, "your": true, "it": true, "its": true, + "this": true, "that": true, "these": true, "those": true, + "what": true, "which": true, "who": true, "whom": true, + "how": true, "why": true, "when": true, "where": true, + "to": true, "for": true, "with": true, "about": true, "from": true, + "in": true, "on": true, "at": true, "by": true, "of": true, + "and": true, "or": true, "but": true, "if": true, "then": true, + } + + // Split and filter + words := strings.Fields(strings.ToLower(query)) + var terms []string + + for _, word := range words { + // Remove punctuation + word = strings.Trim(word, ".,?!;:'\"()[]{}") + if len(word) < 2 { + continue + } + if stopWords[word] { + continue + } + terms = append(terms, word) + } + + return terms +} + +// makeDeclarative converts a question to a declarative statement. +func makeDeclarative(query string) string { + query = strings.TrimSpace(query) + + // Remove question mark + query = strings.TrimSuffix(query, "?") + + // Handle common question patterns + patterns := []struct { + prefix string + replacement string + }{ + {"how do i ", ""}, + {"how to ", ""}, + {"how does ", ""}, + {"how is ", ""}, + {"what is ", ""}, + {"what are ", ""}, + {"why does ", ""}, + {"why is ", ""}, + {"where is ", ""}, + {"where are ", ""}, + {"when does ", ""}, + {"when is ", ""}, + } + + lower := strings.ToLower(query) + for _, p := range patterns { + if strings.HasPrefix(lower, p.prefix) { + return strings.TrimSpace(query[len(p.prefix):]) + } + } + + return query +} + +// deduplicateExpansions removes duplicate queries while preserving order. +func deduplicateExpansions(expansions []ExpandedQuery) []ExpandedQuery { + seen := make(map[string]bool) + result := make([]ExpandedQuery, 0, len(expansions)) + + for _, exp := range expansions { + normalized := strings.ToLower(strings.TrimSpace(exp.Query)) + if !seen[normalized] { + seen[normalized] = true + result = append(result, exp) + } + } + + return result +} + +// cosineSimilarity computes cosine similarity between two vectors. +func cosineSimilarity(a, b []float32) float64 { + if len(a) != len(b) || len(a) == 0 { + return 0 + } + + var dot, normA, normB float64 + for i := range a { + dot += float64(a[i]) * float64(b[i]) + normA += float64(a[i]) * float64(a[i]) + normB += float64(b[i]) * float64(b[i]) + } + + if normA == 0 || normB == 0 { + return 0 + } + + return dot / (sqrt(normA) * sqrt(normB)) +} + +// sqrt is a simple square root implementation. +func sqrt(x float64) float64 { + if x <= 0 { + return 0 + } + z := x + for i := 0; i < 10; i++ { + z = (z + x/z) / 2 + } + return z +} + +// truncate truncates a string to maxLen characters. +func truncate(s string, maxLen int) string { + if len(s) <= maxLen { + return s + } + return s[:maxLen] + "..." +} diff --git a/internal/search/expansion/expander_test.go b/internal/search/expansion/expander_test.go new file mode 100644 index 0000000..e455ad3 --- /dev/null +++ b/internal/search/expansion/expander_test.go @@ -0,0 +1,518 @@ +// Package expansion provides context-aware query expansion for improved search recall. +package expansion + +import ( + "context" + "testing" + + "github.com/stretchr/testify/assert" + "github.com/stretchr/testify/suite" +) + +// ExpanderSuite tests the Expander functionality. +type ExpanderSuite struct { + suite.Suite + expander *Expander +} + +func TestExpanderSuite(t *testing.T) { + suite.Run(t, new(ExpanderSuite)) +} + +func (s *ExpanderSuite) SetupTest() { + // Create expander without embedding service for basic tests + s.expander = NewExpander(nil) +} + +// TestNewExpander tests expander creation. +func (s *ExpanderSuite) TestNewExpander() { + e := NewExpander(nil) + s.NotNil(e) + s.NotNil(e.intentPatterns) + s.Nil(e.embedSvc) +} + +// TestDetectIntent tests intent detection. +func (s *ExpanderSuite) TestDetectIntent() { + tests := []struct { + name string + query string + expected QueryIntent + }{ + // Question intents + {"how_question", "how do I implement auth?", IntentQuestion}, + {"why_question", "why does this fail?", IntentError}, // "fail" triggers error first + {"what_question", "what is the purpose of this function?", IntentQuestion}, + {"question_mark", "the handler for auth?", IntentQuestion}, + {"explain", "explain the architecture", IntentQuestion}, + + // Error intents + {"error_word", "authentication error in login", IntentError}, + {"bug_word", "bug in user registration", IntentError}, + {"fix_word", "fix the memory leak", IntentError}, + {"not_working", "login not working", IntentError}, + {"crash", "application crash on startup", IntentError}, + + // Implementation intents + {"implement", "implement user authentication", IntentImplementation}, + {"add_feature", "add new endpoint for users", IntentImplementation}, + {"create", "create a handler for uploads", IntentImplementation}, + {"function", "function to validate input", IntentImplementation}, + + // Architecture intents + {"architecture", "architecture of the system", IntentArchitecture}, + {"design", "design pattern for observers", IntentArchitecture}, + {"component", "component structure", IntentArchitecture}, + {"flow", "data flow in the pipeline", IntentArchitecture}, + + // General intents + {"general", "user authentication", IntentGeneral}, + {"empty", "", IntentGeneral}, + {"simple", "database", IntentGeneral}, + } + + for _, tt := range tests { + s.Run(tt.name, func() { + result := s.expander.DetectIntent(tt.query) + s.Equal(tt.expected, result, "Query: %s", tt.query) + }) + } +} + +// TestExpand tests basic query expansion. +func (s *ExpanderSuite) TestExpand() { + ctx := context.Background() + cfg := DefaultConfig() + cfg.EnableVocabularyExpansion = false // Disable for unit test + + tests := []struct { + name string + query string + minExpansions int + hasOriginal bool + expectedIntent QueryIntent + }{ + {"question", "how do I implement auth", 1, true, IntentQuestion}, + {"error", "fix the bug in login", 1, true, IntentError}, + {"implementation", "implement user handler", 1, true, IntentImplementation}, + {"architecture", "architecture design", 1, true, IntentArchitecture}, + {"general", "database connection", 1, true, IntentGeneral}, + {"empty", "", 0, false, IntentGeneral}, + } + + for _, tt := range tests { + s.Run(tt.name, func() { + expansions := s.expander.Expand(ctx, tt.query, cfg) + + if tt.minExpansions == 0 { + s.Empty(expansions) + return + } + + s.GreaterOrEqual(len(expansions), tt.minExpansions) + + if tt.hasOriginal { + // First expansion should be the original + s.Equal(tt.query, expansions[0].Query) + s.Equal(1.0, expansions[0].Weight) + s.Equal("original", expansions[0].Source) + } + }) + } +} + +// TestExpandWithConfig tests expansion with custom config. +func (s *ExpanderSuite) TestExpandWithConfig() { + ctx := context.Background() + + cfg := Config{ + MaxExpansions: 2, + MinSimilarity: 0.7, + EnableVocabularyExpansion: false, + } + + expansions := s.expander.Expand(ctx, "how to implement authentication", cfg) + s.LessOrEqual(len(expansions), cfg.MaxExpansions) +} + +// TestExpandDeduplication tests that duplicates are removed. +func (s *ExpanderSuite) TestExpandDeduplication() { + ctx := context.Background() + cfg := DefaultConfig() + cfg.EnableVocabularyExpansion = false + + // Query that might generate duplicate expansions + query := "how to fix authentication" + expansions := s.expander.Expand(ctx, query, cfg) + + // Check for duplicates + seen := make(map[string]bool) + for _, exp := range expansions { + normalized := exp.Query + s.False(seen[normalized], "Duplicate expansion found: %s", exp.Query) + seen[normalized] = true + } +} + +// TestExtractKeyTerms tests key term extraction. +func TestExtractKeyTerms(t *testing.T) { + tests := []struct { + name string + query string + expected []string + }{ + { + name: "simple", + query: "user authentication handler", + expected: []string{"user", "authentication", "handler"}, + }, + { + name: "with_stop_words", + query: "how to implement the user login", + expected: []string{"implement", "user", "login"}, + }, + { + name: "with_punctuation", + query: "fix the bug, please!", + expected: []string{"fix", "bug", "please"}, + }, + { + name: "empty", + query: "", + expected: nil, + }, + { + name: "only_stop_words", + query: "the a an is are", + expected: nil, + }, + { + name: "short_words_filtered", + query: "a b c auth", + expected: []string{"auth"}, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + result := extractKeyTerms(tt.query) + if tt.expected == nil { + assert.Empty(t, result) + } else { + assert.Equal(t, tt.expected, result) + } + }) + } +} + +// TestMakeDeclarative tests question to declarative conversion. +func TestMakeDeclarative(t *testing.T) { + tests := []struct { + name string + query string + expected string + }{ + { + name: "how_do_i", + query: "how do I implement auth?", + expected: "implement auth", + }, + { + name: "how_to", + query: "how to fix the bug", + expected: "fix the bug", + }, + { + name: "what_is", + query: "what is the purpose of this?", + expected: "the purpose of this", + }, + { + name: "why_does", + query: "why does this fail?", + expected: "this fail", + }, + { + name: "already_declarative", + query: "user authentication", + expected: "user authentication", + }, + { + name: "question_mark_only", + query: "authentication?", + expected: "authentication", + }, + { + name: "case_insensitive", + query: "How To Fix Auth?", + expected: "Fix Auth", + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + result := makeDeclarative(tt.query) + assert.Equal(t, tt.expected, result) + }) + } +} + +// TestDeduplicateExpansions tests deduplication. +func TestDeduplicateExpansions(t *testing.T) { + expansions := []ExpandedQuery{ + {Query: "auth handler", Weight: 1.0}, + {Query: "AUTH HANDLER", Weight: 0.8}, // Duplicate (case insensitive) + {Query: "auth handler ", Weight: 0.7}, // Duplicate (whitespace) + {Query: "user auth", Weight: 0.6}, + } + + result := deduplicateExpansions(expansions) + assert.Len(t, result, 2) // "auth handler" and "user auth" + assert.Equal(t, "auth handler", result[0].Query) + assert.Equal(t, 1.0, result[0].Weight) // First one preserved + assert.Equal(t, "user auth", result[1].Query) +} + +// TestCosineSimilarity tests cosine similarity calculation. +func TestCosineSimilarity(t *testing.T) { + tests := []struct { + name string + a []float32 + b []float32 + expected float64 + delta float64 + }{ + { + name: "identical_vectors", + a: []float32{1, 0, 0}, + b: []float32{1, 0, 0}, + expected: 1.0, + delta: 0.001, + }, + { + name: "orthogonal_vectors", + a: []float32{1, 0, 0}, + b: []float32{0, 1, 0}, + expected: 0.0, + delta: 0.001, + }, + { + name: "opposite_vectors", + a: []float32{1, 0, 0}, + b: []float32{-1, 0, 0}, + expected: -1.0, + delta: 0.001, + }, + { + name: "similar_vectors", + a: []float32{1, 1, 0}, + b: []float32{1, 0, 0}, + expected: 0.707, + delta: 0.01, + }, + { + name: "empty_vectors", + a: []float32{}, + b: []float32{}, + expected: 0.0, + delta: 0.001, + }, + { + name: "different_lengths", + a: []float32{1, 0}, + b: []float32{1, 0, 0}, + expected: 0.0, + delta: 0.001, + }, + { + name: "zero_vector", + a: []float32{0, 0, 0}, + b: []float32{1, 1, 1}, + expected: 0.0, + delta: 0.001, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + result := cosineSimilarity(tt.a, tt.b) + assert.InDelta(t, tt.expected, result, tt.delta) + }) + } +} + +// TestDefaultConfig tests default configuration. +func TestDefaultConfig(t *testing.T) { + cfg := DefaultConfig() + + assert.Equal(t, 4, cfg.MaxExpansions) + assert.Equal(t, 0.5, cfg.MinSimilarity) + assert.True(t, cfg.EnableVocabularyExpansion) +} + +// TestExpandedQueryStruct tests ExpandedQuery struct. +func TestExpandedQueryStruct(t *testing.T) { + eq := ExpandedQuery{ + Query: "test query", + Weight: 0.85, + Source: "vocabulary:auth", + Intent: IntentQuestion, + } + + assert.Equal(t, "test query", eq.Query) + assert.Equal(t, 0.85, eq.Weight) + assert.Equal(t, "vocabulary:auth", eq.Source) + assert.Equal(t, IntentQuestion, eq.Intent) +} + +// TestVocabEntry tests VocabEntry struct. +func TestVocabEntry(t *testing.T) { + ve := VocabEntry{ + Term: "authentication", + Weight: 0.9, + Source: "concept", + } + + assert.Equal(t, "authentication", ve.Term) + assert.Equal(t, 0.9, ve.Weight) + assert.Equal(t, "concept", ve.Source) +} + +// TestIntentConstants tests intent constant values. +func TestIntentConstants(t *testing.T) { + assert.Equal(t, QueryIntent("question"), IntentQuestion) + assert.Equal(t, QueryIntent("error"), IntentError) + assert.Equal(t, QueryIntent("implementation"), IntentImplementation) + assert.Equal(t, QueryIntent("architecture"), IntentArchitecture) + assert.Equal(t, QueryIntent("general"), IntentGeneral) +} + +// TestTruncate tests the truncate helper. +func TestTruncate(t *testing.T) { + tests := []struct { + name string + input string + maxLen int + expected string + }{ + {"short", "hello", 10, "hello"}, + {"exact", "hello", 5, "hello"}, + {"long", "hello world", 5, "hello..."}, + {"empty", "", 10, ""}, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + result := truncate(tt.input, tt.maxLen) + assert.Equal(t, tt.expected, result) + }) + } +} + +// TestSqrt tests the sqrt helper. +func TestSqrt(t *testing.T) { + tests := []struct { + input float64 + expected float64 + delta float64 + }{ + {4.0, 2.0, 0.001}, + {9.0, 3.0, 0.001}, + {16.0, 4.0, 0.001}, + {2.0, 1.414, 0.01}, + {0.0, 0.0, 0.001}, + {-1.0, 0.0, 0.001}, + } + + for _, tt := range tests { + t.Run("", func(t *testing.T) { + result := sqrt(tt.input) + assert.InDelta(t, tt.expected, result, tt.delta) + }) + } +} + +// TestExpandByIntentError tests error intent expansion. +func (s *ExpanderSuite) TestExpandByIntentError() { + expansions := s.expander.expandByIntent("fix authentication bug", IntentError) + s.NotEmpty(expansions) + + // Should have solution-oriented expansion + hasSolution := false + for _, exp := range expansions { + if exp.Source == "intent:solution" { + hasSolution = true + break + } + } + s.True(hasSolution) +} + +// TestExpandByIntentQuestion tests question intent expansion. +func (s *ExpanderSuite) TestExpandByIntentQuestion() { + expansions := s.expander.expandByIntent("how do I implement auth", IntentQuestion) + s.NotEmpty(expansions) + + // Should have declarative expansion + hasDeclarative := false + for _, exp := range expansions { + if exp.Source == "intent:declarative" { + hasDeclarative = true + break + } + } + s.True(hasDeclarative) +} + +// TestExpandByIntentImplementation tests implementation intent expansion. +func (s *ExpanderSuite) TestExpandByIntentImplementation() { + expansions := s.expander.expandByIntent("implement user handler", IntentImplementation) + s.NotEmpty(expansions) + + // Should have how expansion + hasHow := false + for _, exp := range expansions { + if exp.Source == "intent:how" { + hasHow = true + break + } + } + s.True(hasHow) +} + +// TestExpandByIntentArchitecture tests architecture intent expansion. +func (s *ExpanderSuite) TestExpandByIntentArchitecture() { + expansions := s.expander.expandByIntent("system architecture design", IntentArchitecture) + s.NotEmpty(expansions) + + // Should have design expansion + hasDesign := false + for _, exp := range expansions { + if exp.Source == "intent:design" { + hasDesign = true + break + } + } + s.True(hasDesign) +} + +// TestExpandByIntentGeneral tests general intent returns no expansions. +func (s *ExpanderSuite) TestExpandByIntentGeneral() { + expansions := s.expander.expandByIntent("database", IntentGeneral) + s.Empty(expansions) // General intent doesn't add intent-based expansions +} + +// TestEmptyVocabulary tests expansion with empty vocabulary. +func (s *ExpanderSuite) TestEmptyVocabulary() { + ctx := context.Background() + expansions := s.expander.expandByVocabulary(ctx, "test query", 0.5) + s.Empty(expansions) +} + +// TestIntentPatternsExist tests that all intents have patterns. +func (s *ExpanderSuite) TestIntentPatternsExist() { + s.NotEmpty(s.expander.intentPatterns[IntentQuestion]) + s.NotEmpty(s.expander.intentPatterns[IntentError]) + s.NotEmpty(s.expander.intentPatterns[IntentImplementation]) + s.NotEmpty(s.expander.intentPatterns[IntentArchitecture]) +} diff --git a/internal/search/manager.go b/internal/search/manager.go index 610efe4..5ae8cee 100644 --- a/internal/search/manager.go +++ b/internal/search/manager.go @@ -35,20 +35,21 @@ func NewManager( // SearchParams contains parameters for unified search. type SearchParams struct { - Query string - Type string // "observations", "sessions", "prompts", or empty for all - Project string - ObsType string // Observation type filter - Concepts string - Files string - DateStart int64 - DateEnd int64 - OrderBy string // "relevance", "date_desc", "date_asc" - Limit int - Offset int - Format string // "index" or "full" - Scope string // "project", "global", or empty for project+global - IncludeGlobal bool // If true, include global observations along with project-scoped + Query string + Type string // "observations", "sessions", "prompts", or empty for all + Project string + ObsType string // Observation type filter + Concepts string + Files string + DateStart int64 + DateEnd int64 + OrderBy string // "relevance", "date_desc", "date_asc" + Limit int + Offset int + Format string // "index" or "full" + Scope string // "project", "global", or empty for project+global + IncludeGlobal bool // If true, include global observations along with project-scoped + ExcludeSuperseded bool // If true, exclude observations that have been superseded } // SearchResult represents a unified search result. @@ -126,6 +127,10 @@ func (m *Manager) vectorSearch(ctx context.Context, params SearchParams) (*Unifi obs, err := m.observationStore.GetObservationsByIDs(ctx, obsIDs, params.OrderBy, 0) if err == nil { for _, o := range obs { + // Skip superseded observations when requested + if params.ExcludeSuperseded && o.IsSuperseded { + continue + } results = append(results, m.observationToResult(o, params.Format)) } } @@ -167,7 +172,16 @@ func (m *Manager) filterSearch(ctx context.Context, params SearchParams) (*Unifi // Search observations if params.Type == "" || params.Type == "observations" { - obs, err := m.observationStore.GetRecentObservations(ctx, params.Project, params.Limit) + var obs []*models.Observation + var err error + + // Use active observations (excluding superseded) when requested + if params.ExcludeSuperseded { + obs, err = m.observationStore.GetActiveObservations(ctx, params.Project, params.Limit) + } else { + obs, err = m.observationStore.GetRecentObservations(ctx, params.Project, params.Limit) + } + if err == nil { for _, o := range obs { results = append(results, m.observationToResult(o, params.Format)) diff --git a/internal/vector/sqlitevec/client.go b/internal/vector/sqlitevec/client.go index 6d288d7..df2e836 100644 --- a/internal/vector/sqlitevec/client.go +++ b/internal/vector/sqlitevec/client.go @@ -60,12 +60,15 @@ func (c *Client) AddDocuments(ctx context.Context, docs []Document) error { return fmt.Errorf("generate embeddings: %w", err) } - // Insert into vectors table + // Insert into vectors table with model version tracking const insertQuery = ` - INSERT OR REPLACE INTO vectors (doc_id, embedding, sqlite_id, doc_type, field_type, project, scope) - VALUES (?, ?, ?, ?, ?, ?, ?) + INSERT OR REPLACE INTO vectors (doc_id, embedding, sqlite_id, doc_type, field_type, project, scope, model_version) + VALUES (?, ?, ?, ?, ?, ?, ?, ?) ` + // Get current model version for tracking + modelVersion := c.embedSvc.Version() + tx, err := c.db.BeginTx(ctx, nil) if err != nil { return fmt.Errorf("begin transaction: %w", err) @@ -104,6 +107,7 @@ func (c *Client) AddDocuments(ctx context.Context, docs []Document) error { fieldType, project, scope, + modelVersion, ) if err != nil { return fmt.Errorf("insert document %s: %w", doc.ID, err) @@ -114,7 +118,7 @@ func (c *Client) AddDocuments(ctx context.Context, docs []Document) error { return fmt.Errorf("commit transaction: %w", err) } - log.Debug().Int("count", len(docs)).Msg("Added documents to sqlite-vec") + log.Debug().Int("count", len(docs)).Str("model", modelVersion).Msg("Added documents to sqlite-vec") return nil } @@ -212,6 +216,7 @@ func (c *Client) Query(ctx context.Context, query string, limit int, where map[s return nil, fmt.Errorf("scan row: %w", err) } + r.Similarity = DistanceToSimilarity(r.Distance) r.Metadata = map[string]any{ "sqlite_id": float64(sqliteID), // Keep as float64 for compatibility "doc_type": docType.String, @@ -252,3 +257,148 @@ func truncateString(s string, maxLen int) string { } return s[:maxLen] + "..." } + +// Count returns the total number of vectors in the store. +func (c *Client) Count(ctx context.Context) (int64, error) { + c.mu.Lock() + defer c.mu.Unlock() + + var count int64 + err := c.db.QueryRowContext(ctx, "SELECT COUNT(*) FROM vectors").Scan(&count) + if err != nil { + return 0, fmt.Errorf("count vectors: %w", err) + } + return count, nil +} + +// ModelVersion returns the current embedding model version. +func (c *Client) ModelVersion() string { + return c.embedSvc.Version() +} + +// NeedsRebuild checks if vectors need to be rebuilt due to model version change. +// Returns true if: +// - The vectors table is empty +// - Any vectors have a different model_version than the current model +func (c *Client) NeedsRebuild(ctx context.Context) (bool, string) { + c.mu.Lock() + defer c.mu.Unlock() + + currentModel := c.embedSvc.Version() + + // Check total count + var totalCount int64 + err := c.db.QueryRowContext(ctx, "SELECT COUNT(*) FROM vectors").Scan(&totalCount) + if err != nil { + log.Warn().Err(err).Msg("Failed to count vectors for rebuild check") + return false, "" + } + + if totalCount == 0 { + return true, "empty" + } + + // Check for vectors with different model version + var staleCount int64 + err = c.db.QueryRowContext(ctx, + "SELECT COUNT(*) FROM vectors WHERE model_version != ? OR model_version IS NULL", + currentModel, + ).Scan(&staleCount) + if err != nil { + log.Warn().Err(err).Msg("Failed to count stale vectors") + return false, "" + } + + if staleCount > 0 { + return true, fmt.Sprintf("model_mismatch:%d", staleCount) + } + + return false, "" +} + +// StaleVectorInfo contains information about a vector that needs rebuilding. +type StaleVectorInfo struct { + DocID string + SQLiteID int64 + DocType string + FieldType string + Project string + Scope string +} + +// GetStaleVectors returns doc_ids of vectors with mismatched or null model versions. +// This enables granular rebuild - only re-embedding documents that need updating. +func (c *Client) GetStaleVectors(ctx context.Context) ([]StaleVectorInfo, error) { + c.mu.Lock() + defer c.mu.Unlock() + + currentModel := c.embedSvc.Version() + + query := ` + SELECT doc_id, sqlite_id, doc_type, field_type, project, scope + FROM vectors + WHERE model_version != ? OR model_version IS NULL + ` + + rows, err := c.db.QueryContext(ctx, query, currentModel) + if err != nil { + return nil, fmt.Errorf("query stale vectors: %w", err) + } + defer rows.Close() + + var results []StaleVectorInfo + for rows.Next() { + var info StaleVectorInfo + var sqliteID sql.NullInt64 + var docType, fieldType, project, scope sql.NullString + + if err := rows.Scan(&info.DocID, &sqliteID, &docType, &fieldType, &project, &scope); err != nil { + return nil, fmt.Errorf("scan row: %w", err) + } + + info.SQLiteID = sqliteID.Int64 + info.DocType = docType.String + info.FieldType = fieldType.String + info.Project = project.String + info.Scope = scope.String + + results = append(results, info) + } + + if err = rows.Err(); err != nil { + return nil, fmt.Errorf("iterate rows: %w", err) + } + + return results, nil +} + +// DeleteVectorsByDocIDs removes vectors by their doc_ids. +// Used for granular rebuild - delete stale vectors before re-adding. +func (c *Client) DeleteVectorsByDocIDs(ctx context.Context, docIDs []string) error { + if len(docIDs) == 0 { + return nil + } + + c.mu.Lock() + defer c.mu.Unlock() + + // Build placeholder string + placeholders := make([]string, len(docIDs)) + args := make([]interface{}, len(docIDs)) + for i, id := range docIDs { + placeholders[i] = "?" + args[i] = id + } + + // #nosec G201 -- Placeholders are "?" strings, actual values are parameterized via args + query := fmt.Sprintf("DELETE FROM vectors WHERE doc_id IN (%s)", + strings.Join(placeholders, ",")) + + _, err := c.db.ExecContext(ctx, query, args...) + if err != nil { + return fmt.Errorf("delete vectors by doc_ids: %w", err) + } + + log.Debug().Int("count", len(docIDs)).Msg("Deleted stale vectors by doc_id") + return nil +} diff --git a/internal/vector/sqlitevec/client_test.go b/internal/vector/sqlitevec/client_test.go index 9a90440..0de0b6e 100644 --- a/internal/vector/sqlitevec/client_test.go +++ b/internal/vector/sqlitevec/client_test.go @@ -38,7 +38,8 @@ func testDB(t *testing.T) (*sql.DB, func()) { doc_type TEXT, field_type TEXT, project TEXT, - scope TEXT + scope TEXT, + model_version TEXT ) `) require.NoError(t, err) diff --git a/internal/vector/sqlitevec/helpers.go b/internal/vector/sqlitevec/helpers.go index ac3e78c..a104b51 100644 --- a/internal/vector/sqlitevec/helpers.go +++ b/internal/vector/sqlitevec/helpers.go @@ -19,9 +19,32 @@ type Document struct { // QueryResult represents a search result from vector search. type QueryResult struct { - ID string - Distance float64 - Metadata map[string]any + ID string + Distance float64 + Similarity float64 // 1.0 = identical, 0.0 = opposite (derived from distance) + Metadata map[string]any +} + +// DistanceToSimilarity converts sqlite-vec cosine distance to similarity score. +// Cosine distance: 0 = identical, 2 = opposite +// Similarity: 1.0 = identical, 0.0 = opposite +func DistanceToSimilarity(distance float64) float64 { + return 1.0 - (distance / 2.0) +} + +// FilterByThreshold filters results to only include those above the similarity threshold. +// If maxResults > 0, also caps the number of results. +func FilterByThreshold(results []QueryResult, threshold float64, maxResults int) []QueryResult { + var filtered []QueryResult + for _, r := range results { + if r.Similarity >= threshold { + filtered = append(filtered, r) + if maxResults > 0 && len(filtered) >= maxResults { + break + } + } + } + return filtered } // ExtractedIDs contains SQLite IDs extracted from query results, grouped by document type. diff --git a/internal/vector/sqlitevec/sync.go b/internal/vector/sqlitevec/sync.go index 0c9c042..21f37c9 100644 --- a/internal/vector/sqlitevec/sync.go +++ b/internal/vector/sqlitevec/sync.go @@ -240,3 +240,101 @@ func (s *Sync) DeleteUserPrompts(ctx context.Context, promptIDs []int64) error { return nil } + +// SyncPattern syncs a single pattern to the vector store. +func (s *Sync) SyncPattern(ctx context.Context, pattern *models.Pattern) error { + docs := s.formatPatternDocs(pattern) + if len(docs) == 0 { + return nil + } + + if err := s.client.AddDocuments(ctx, docs); err != nil { + return fmt.Errorf("add pattern docs: %w", err) + } + + log.Debug(). + Int64("patternId", pattern.ID). + Int("docCount", len(docs)). + Msg("Synced pattern to sqlite-vec") + + return nil +} + +// formatPatternDocs formats a pattern into vector documents. +func (s *Sync) formatPatternDocs(pattern *models.Pattern) []Document { + docs := make([]Document, 0, 3) + + baseMetadata := map[string]any{ + "sqlite_id": pattern.ID, + "doc_type": "pattern", + "pattern_type": string(pattern.Type), + "status": string(pattern.Status), + "scope": "global", // Patterns are always global + "frequency": pattern.Frequency, + "confidence": pattern.Confidence, + "created_at_epoch": pattern.CreatedAtEpoch, + } + + if len(pattern.Signature) > 0 { + baseMetadata["signature"] = joinStrings(pattern.Signature, ",") + } + if len(pattern.Projects) > 0 { + baseMetadata["projects"] = joinStrings(pattern.Projects, ",") + } + + // Pattern name as document + if pattern.Name != "" { + docs = append(docs, Document{ + ID: fmt.Sprintf("pattern_%d_name", pattern.ID), + Content: pattern.Name, + Metadata: copyMetadata(baseMetadata, "field_type", "name"), + }) + } + + // Pattern description as document + if pattern.Description.Valid && pattern.Description.String != "" { + docs = append(docs, Document{ + ID: fmt.Sprintf("pattern_%d_description", pattern.ID), + Content: pattern.Description.String, + Metadata: copyMetadata(baseMetadata, "field_type", "description"), + }) + } + + // Pattern recommendation as document + if pattern.Recommendation.Valid && pattern.Recommendation.String != "" { + docs = append(docs, Document{ + ID: fmt.Sprintf("pattern_%d_recommendation", pattern.ID), + Content: pattern.Recommendation.String, + Metadata: copyMetadata(baseMetadata, "field_type", "recommendation"), + }) + } + + return docs +} + +// DeletePatterns removes pattern documents from the vector store. +func (s *Sync) DeletePatterns(ctx context.Context, patternIDs []int64) error { + if len(patternIDs) == 0 { + return nil + } + + // Generate all possible document IDs for these patterns + // Pattern: pattern_{id}_name, pattern_{id}_description, pattern_{id}_recommendation + ids := make([]string, 0, len(patternIDs)*3) + + for _, patternID := range patternIDs { + ids = append(ids, fmt.Sprintf("pattern_%d_name", patternID)) + ids = append(ids, fmt.Sprintf("pattern_%d_description", patternID)) + ids = append(ids, fmt.Sprintf("pattern_%d_recommendation", patternID)) + } + + if err := s.client.DeleteDocuments(ctx, ids); err != nil { + return fmt.Errorf("delete pattern docs: %w", err) + } + + log.Debug(). + Int("patternCount", len(patternIDs)). + Msg("Deleted patterns from sqlite-vec") + + return nil +} diff --git a/internal/worker/handlers.go b/internal/worker/handlers.go index 9fa7970..9098477 100644 --- a/internal/worker/handlers.go +++ b/internal/worker/handlers.go @@ -4,13 +4,18 @@ package worker import ( "context" "encoding/json" + "fmt" "net/http" + "sort" "strconv" "time" "github.com/go-chi/chi/v5" "github.com/lukaszraczylo/claude-mnemonic/internal/db/sqlite" + "github.com/lukaszraczylo/claude-mnemonic/internal/embedding" "github.com/lukaszraczylo/claude-mnemonic/internal/privacy" + "github.com/lukaszraczylo/claude-mnemonic/internal/reranking" + "github.com/lukaszraczylo/claude-mnemonic/internal/search/expansion" "github.com/lukaszraczylo/claude-mnemonic/internal/vector/sqlitevec" "github.com/lukaszraczylo/claude-mnemonic/internal/worker/sdk" "github.com/lukaszraczylo/claude-mnemonic/internal/worker/session" @@ -641,6 +646,18 @@ func (s *Service) handleGetTypes(w http.ResponseWriter, r *http.Request) { }) } +// handleGetModels returns available embedding models. +func (s *Service) handleGetModels(w http.ResponseWriter, _ *http.Request) { + models := embedding.ListModels() + defaultModel := embedding.GetDefaultModel() + + writeJSON(w, map[string]interface{}{ + "models": models, + "default": defaultModel, + "current": s.embedSvc.Version(), + }) +} + // handleGetStats returns worker statistics. func (s *Service) handleGetStats(w http.ResponseWriter, r *http.Request) { project := r.URL.Query().Get("project") @@ -658,6 +675,22 @@ func (s *Service) handleGetStats(w http.ResponseWriter, r *http.Request) { "ready": s.ready.Load(), } + // Add embedding model info + if s.embedSvc != nil { + response["embeddingModel"] = map[string]interface{}{ + "name": s.embedSvc.Name(), + "version": s.embedSvc.Version(), + "dimensions": s.embedSvc.Dimensions(), + } + } + + // Add vector count + if s.vectorClient != nil { + if count, err := s.vectorClient.Count(r.Context()); err == nil { + response["vectorCount"] = count + } + } + // Include project-specific observation count if project is specified if project != "" { count, err := s.observationStore.GetObservationCount(r.Context(), project) @@ -715,15 +748,69 @@ func (s *Service) handleSearchByPrompt(w http.ResponseWriter, r *http.Request) { var observations []*models.Observation var err error var usedVector bool + similarityScores := make(map[int64]float64) // Track similarity per observation + + // Get threshold settings from config + threshold := s.config.ContextRelevanceThreshold + maxResults := s.config.ContextMaxPromptResults + + // Generate expanded queries if query expander is available + var expandedQueries []expansion.ExpandedQuery + var detectedIntent string + if s.queryExpander != nil { + cfg := expansion.DefaultConfig() + cfg.EnableVocabularyExpansion = false // Vocabulary expansion is optional + expandedQueries = s.queryExpander.Expand(r.Context(), query, cfg) + if len(expandedQueries) > 0 { + detectedIntent = string(expandedQueries[0].Intent) + } + } + if len(expandedQueries) == 0 { + // Fallback to just the original query + expandedQueries = []expansion.ExpandedQuery{ + {Query: query, Weight: 1.0, Source: "original"}, + } + } // Try vector search first if available if s.vectorClient != nil && s.vectorClient.IsConnected() { where := sqlitevec.BuildWhereFilter(sqlitevec.DocTypeObservation, "") - vectorResults, vecErr := s.vectorClient.Query(r.Context(), query, limit*2, where) - if vecErr == nil && len(vectorResults) > 0 { + // Search with each expanded query and merge results + allVectorResults := make([]sqlitevec.QueryResult, 0) + queryWeights := make(map[string]float64) // Track weights for score merging + + for _, eq := range expandedQueries { + vectorResults, vecErr := s.vectorClient.Query(r.Context(), eq.Query, limit*2, where) + if vecErr == nil && len(vectorResults) > 0 { + // Apply weight to similarity scores before merging + for i := range vectorResults { + vectorResults[i].Similarity *= eq.Weight + } + allVectorResults = append(allVectorResults, vectorResults...) + queryWeights[eq.Query] = eq.Weight + } + } + + if len(allVectorResults) > 0 { + // Filter by relevance threshold before extracting IDs + // Use a slightly lower threshold for expanded queries + effectiveThreshold := threshold * 0.9 // Allow slightly lower scores for expanded queries + filteredResults := sqlitevec.FilterByThreshold(allVectorResults, effectiveThreshold, 0) + + // Build similarity map for filtered results (keeping highest weighted score per observation) + for _, vr := range filteredResults { + if sqliteID, ok := vr.Metadata["sqlite_id"].(float64); ok { + id := int64(sqliteID) + // Keep the highest score for each observation + if existing, exists := similarityScores[id]; !exists || vr.Similarity > existing { + similarityScores[id] = vr.Similarity + } + } + } + // Extract observation IDs with project/scope filtering using shared helper - obsIDs := sqlitevec.ExtractObservationIDs(vectorResults, project) + obsIDs := sqlitevec.ExtractObservationIDs(filteredResults, project) if len(obsIDs) > 0 { // Fetch full observations from SQLite @@ -773,23 +860,132 @@ func (s *Service) handleSearchByPrompt(w http.ResponseWriter, r *http.Request) { freshObservations = append(freshObservations, obs) } + // Apply cross-encoder reranking if available + var reranked bool + if s.reranker != nil && len(freshObservations) > 0 && usedVector { + // Build candidates from observations with their bi-encoder scores + candidates := make([]reranking.Candidate, len(freshObservations)) + for i, obs := range freshObservations { + content := obs.Title.String + if obs.Narrative.Valid && obs.Narrative.String != "" { + content = content + " " + obs.Narrative.String + } + candidates[i] = reranking.Candidate{ + ID: fmt.Sprintf("%d", obs.ID), + Content: content, + Score: similarityScores[obs.ID], + Metadata: map[string]any{"obs_idx": i}, + } + } + + // Rerank using cross-encoder - use pure mode or combined scores + var rerankResults []reranking.RerankResult + var rerankErr error + if s.config.RerankingPureMode { + rerankResults, rerankErr = s.reranker.RerankByScore(query, candidates, s.config.RerankingResults) + } else { + rerankResults, rerankErr = s.reranker.Rerank(query, candidates, s.config.RerankingResults) + } + if rerankErr != nil { + log.Warn().Err(rerankErr).Msg("Cross-encoder reranking failed, using original order") + } else if len(rerankResults) > 0 { + // Update similarity scores with reranked scores + for _, rr := range rerankResults { + if id, err := strconv.ParseInt(rr.ID, 10, 64); err == nil { + similarityScores[id] = rr.CombinedScore + } + } + + // Reorder observations based on rerank results + reorderedObs := make([]*models.Observation, 0, len(rerankResults)) + obsMap := make(map[int64]*models.Observation) + for _, obs := range freshObservations { + obsMap[obs.ID] = obs + } + for _, rr := range rerankResults { + if id, err := strconv.ParseInt(rr.ID, 10, 64); err == nil { + if obs, ok := obsMap[id]; ok { + reorderedObs = append(reorderedObs, obs) + } + } + } + freshObservations = reorderedObs + reranked = true + + log.Debug(). + Int("candidates", len(candidates)). + Int("returned", len(rerankResults)). + Msg("Cross-encoder reranking complete") + } + } + // Cluster similar observations to remove duplicates clusteredObservations := clusterObservations(freshObservations, 0.4) + // Sort by similarity score (highest first) if we have scores and didn't rerank + if len(similarityScores) > 0 && len(clusteredObservations) > 0 && !reranked { + sort.Slice(clusteredObservations, func(i, j int) bool { + scoreI := similarityScores[clusteredObservations[i].ID] + scoreJ := similarityScores[clusteredObservations[j].ID] + return scoreI > scoreJ + }) + } + + // Apply max results cap if configured + if maxResults > 0 && len(clusteredObservations) > maxResults { + clusteredObservations = clusteredObservations[:maxResults] + } + // Record retrieval stats (no verification done, so verified=0, deleted=0) s.recordRetrievalStats(project, int64(len(clusteredObservations)), 0, 0, true) + // Increment retrieval counts for scoring (async, non-blocking) + if len(clusteredObservations) > 0 { + ids := make([]int64, len(clusteredObservations)) + for i, obs := range clusteredObservations { + ids[i] = obs.ID + } + s.incrementRetrievalCounts(ids) + } + log.Info(). Str("project", project). Str("query", query). + Str("intent", detectedIntent). + Int("expansions", len(expandedQueries)). Int("found", len(clusteredObservations)). Int("stale_excluded", staleCount). + Float64("threshold", threshold). Msg("Prompt-based observation search") + // Build response with similarity scores + obsWithScores := make([]map[string]interface{}, len(clusteredObservations)) + for i, obs := range clusteredObservations { + obsMap := obs.ToMap() + if score, ok := similarityScores[obs.ID]; ok { + obsMap["similarity"] = score + } + obsWithScores[i] = obsMap + } + + // Build expansion info for response + expansionInfo := make([]map[string]interface{}, len(expandedQueries)) + for i, eq := range expandedQueries { + expansionInfo[i] = map[string]interface{}{ + "query": eq.Query, + "weight": eq.Weight, + "source": eq.Source, + } + } + writeJSON(w, map[string]interface{}{ "project": project, "query": query, - "observations": clusteredObservations, + "intent": detectedIntent, + "expansions": expansionInfo, + "observations": obsWithScores, + "threshold": threshold, + "max_results": maxResults, }) } @@ -857,6 +1053,15 @@ func (s *Service) handleContextInject(w http.ResponseWriter, r *http.Request) { // Record retrieval stats (no verification done) s.recordRetrievalStats(project, int64(len(clusteredObservations)), 0, 0, false) + // Increment retrieval counts for scoring (async, non-blocking) + if len(clusteredObservations) > 0 { + ids := make([]int64, len(clusteredObservations)) + for i, obs := range clusteredObservations { + ids[i] = obs.ID + } + s.incrementRetrievalCounts(ids) + } + log.Info(). Str("project", project). Int("total", len(observations)). @@ -1015,6 +1220,35 @@ func (s *Service) handleSelfCheck(w http.ResponseWriter, r *http.Request) { } components = append(components, sseStatus) + // Check Cross-Encoder Reranker + rerankerStatus := ComponentHealth{Name: "Cross-Encoder Reranker", Status: "healthy"} + if !s.config.RerankingEnabled { + rerankerStatus.Status = "degraded" + rerankerStatus.Message = "Disabled in config" + if overall == "healthy" { + overall = "degraded" + } + } else if s.reranker == nil { + rerankerStatus.Status = "degraded" + rerankerStatus.Message = "Not initialized" + if overall == "healthy" { + overall = "degraded" + } + } else { + // Verify reranker is functional using Score + _, normalizedScore, err := s.reranker.Score("test query", "test document") + if err != nil { + rerankerStatus.Status = "unhealthy" + rerankerStatus.Message = fmt.Sprintf("Score check failed: %v", err) + if overall == "healthy" { + overall = "degraded" + } + } else { + rerankerStatus.Message = fmt.Sprintf("Score check passed (%.4f)", normalizedScore) + } + } + components = append(components, rerankerStatus) + // Calculate uptime uptime := time.Since(s.startTime).Round(time.Second).String() diff --git a/internal/worker/handlers_patterns.go b/internal/worker/handlers_patterns.go new file mode 100644 index 0000000..e5d3329 --- /dev/null +++ b/internal/worker/handlers_patterns.go @@ -0,0 +1,292 @@ +// Package worker provides the main worker service for claude-mnemonic. +package worker + +import ( + "encoding/json" + "net/http" + "strconv" + + "github.com/go-chi/chi/v5" + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// DefaultPatternsLimit is the default number of patterns to return. +const DefaultPatternsLimit = 100 + +// handleGetPatterns returns all active patterns, optionally filtered by type or project. +func (s *Service) handleGetPatterns(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + store := s.patternStore + s.initMu.RUnlock() + + if store == nil { + http.Error(w, "pattern store not initialized", http.StatusServiceUnavailable) + return + } + + // Parse query parameters + limit := DefaultPatternsLimit + if l := r.URL.Query().Get("limit"); l != "" { + if parsed, err := strconv.Atoi(l); err == nil && parsed > 0 { + limit = parsed + } + } + + patternType := r.URL.Query().Get("type") + project := r.URL.Query().Get("project") + + var patterns []*models.Pattern + var err error + + if patternType != "" { + // Filter by type + patterns, err = store.GetPatternsByType(r.Context(), models.PatternType(patternType), limit) + } else if project != "" { + // Filter by project + patterns, err = store.GetPatternsByProject(r.Context(), project, limit) + } else { + // Get all active patterns + patterns, err = store.GetActivePatterns(r.Context(), limit) + } + + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + writeJSON(w, patterns) +} + +// handleGetPatternStats returns aggregate statistics about patterns. +func (s *Service) handleGetPatternStats(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + store := s.patternStore + s.initMu.RUnlock() + + if store == nil { + http.Error(w, "pattern store not initialized", http.StatusServiceUnavailable) + return + } + + stats, err := store.GetPatternStats(r.Context()) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + writeJSON(w, stats) +} + +// handleGetPatternByID returns a single pattern by ID. +func (s *Service) handleGetPatternByID(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + store := s.patternStore + s.initMu.RUnlock() + + if store == nil { + http.Error(w, "pattern store not initialized", http.StatusServiceUnavailable) + return + } + + idStr := chi.URLParam(r, "id") + id, err := strconv.ParseInt(idStr, 10, 64) + if err != nil { + http.Error(w, "invalid pattern ID", http.StatusBadRequest) + return + } + + pattern, err := store.GetPatternByID(r.Context(), id) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + if pattern == nil { + http.Error(w, "pattern not found", http.StatusNotFound) + return + } + + writeJSON(w, pattern) +} + +// handleGetPatternInsight returns a formatted insight string for a pattern. +func (s *Service) handleGetPatternInsight(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + detector := s.patternDetector + s.initMu.RUnlock() + + if detector == nil { + http.Error(w, "pattern detector not initialized", http.StatusServiceUnavailable) + return + } + + idStr := chi.URLParam(r, "id") + id, err := strconv.ParseInt(idStr, 10, 64) + if err != nil { + http.Error(w, "invalid pattern ID", http.StatusBadRequest) + return + } + + insight, err := detector.GetPatternInsight(r.Context(), id) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + writeJSON(w, map[string]string{"insight": insight}) +} + +// handleDeletePattern deletes a pattern by ID. +func (s *Service) handleDeletePattern(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + store := s.patternStore + s.initMu.RUnlock() + + if store == nil { + http.Error(w, "pattern store not initialized", http.StatusServiceUnavailable) + return + } + + idStr := chi.URLParam(r, "id") + id, err := strconv.ParseInt(idStr, 10, 64) + if err != nil { + http.Error(w, "invalid pattern ID", http.StatusBadRequest) + return + } + + if err := store.DeletePattern(r.Context(), id); err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + writeJSON(w, map[string]string{"status": "deleted"}) +} + +// handleDeprecatePattern marks a pattern as deprecated. +func (s *Service) handleDeprecatePattern(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + store := s.patternStore + s.initMu.RUnlock() + + if store == nil { + http.Error(w, "pattern store not initialized", http.StatusServiceUnavailable) + return + } + + idStr := chi.URLParam(r, "id") + id, err := strconv.ParseInt(idStr, 10, 64) + if err != nil { + http.Error(w, "invalid pattern ID", http.StatusBadRequest) + return + } + + if err := store.MarkPatternDeprecated(r.Context(), id); err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + writeJSON(w, map[string]string{"status": "deprecated"}) +} + +// MergePatternsRequest is the request body for merging patterns. +type MergePatternsRequest struct { + SourceID int64 `json:"source_id"` + TargetID int64 `json:"target_id"` +} + +// handleSearchPatterns performs full-text search on patterns. +func (s *Service) handleSearchPatterns(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + store := s.patternStore + s.initMu.RUnlock() + + if store == nil { + http.Error(w, "pattern store not initialized", http.StatusServiceUnavailable) + return + } + + query := r.URL.Query().Get("q") + if query == "" { + http.Error(w, "query parameter 'q' is required", http.StatusBadRequest) + return + } + + limit := DefaultPatternsLimit + if l := r.URL.Query().Get("limit"); l != "" { + if parsed, err := strconv.Atoi(l); err == nil && parsed > 0 { + limit = parsed + } + } + + patterns, err := store.SearchPatternsFTS(r.Context(), query, limit) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + writeJSON(w, patterns) +} + +// handleGetPatternByName returns a pattern by its name. +func (s *Service) handleGetPatternByName(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + store := s.patternStore + s.initMu.RUnlock() + + if store == nil { + http.Error(w, "pattern store not initialized", http.StatusServiceUnavailable) + return + } + + name := r.URL.Query().Get("name") + if name == "" { + http.Error(w, "query parameter 'name' is required", http.StatusBadRequest) + return + } + + pattern, err := store.GetPatternByName(r.Context(), name) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + if pattern == nil { + http.Error(w, "pattern not found", http.StatusNotFound) + return + } + + writeJSON(w, pattern) +} + +// handleMergePatterns merges a source pattern into a target pattern. +func (s *Service) handleMergePatterns(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + store := s.patternStore + s.initMu.RUnlock() + + if store == nil { + http.Error(w, "pattern store not initialized", http.StatusServiceUnavailable) + return + } + + var req MergePatternsRequest + if err := json.NewDecoder(r.Body).Decode(&req); err != nil { + http.Error(w, err.Error(), http.StatusBadRequest) + return + } + + if req.SourceID == 0 || req.TargetID == 0 { + http.Error(w, "source_id and target_id are required", http.StatusBadRequest) + return + } + + if req.SourceID == req.TargetID { + http.Error(w, "source_id and target_id cannot be the same", http.StatusBadRequest) + return + } + + if err := store.MergePatterns(r.Context(), req.SourceID, req.TargetID); err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + writeJSON(w, map[string]string{"status": "merged"}) +} diff --git a/internal/worker/handlers_relations.go b/internal/worker/handlers_relations.go new file mode 100644 index 0000000..5e890ca --- /dev/null +++ b/internal/worker/handlers_relations.go @@ -0,0 +1,174 @@ +// Package worker provides the main worker service for claude-mnemonic. +package worker + +import ( + "net/http" + "strconv" + + "github.com/go-chi/chi/v5" + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// DefaultRelationsLimit is the default number of relations to return. +const DefaultRelationsLimit = 50 + +// handleGetRelations returns relations for an observation. +func (s *Service) handleGetRelations(w http.ResponseWriter, r *http.Request) { + idStr := chi.URLParam(r, "id") + id, err := strconv.ParseInt(idStr, 10, 64) + if err != nil { + http.Error(w, "invalid observation id", http.StatusBadRequest) + return + } + + relations, err := s.relationStore.GetRelationsWithDetails(r.Context(), id) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + if relations == nil { + relations = []*models.RelationWithDetails{} + } + + writeJSON(w, relations) +} + +// handleGetRelationGraph returns the relation graph for an observation. +func (s *Service) handleGetRelationGraph(w http.ResponseWriter, r *http.Request) { + idStr := chi.URLParam(r, "id") + id, err := strconv.ParseInt(idStr, 10, 64) + if err != nil { + http.Error(w, "invalid observation id", http.StatusBadRequest) + return + } + + // Get depth parameter (default 2) + depth := 2 + if depthStr := r.URL.Query().Get("depth"); depthStr != "" { + if d, err := strconv.Atoi(depthStr); err == nil && d > 0 && d <= 5 { + depth = d + } + } + + graph, err := s.relationStore.GetRelationGraph(r.Context(), id, depth) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + writeJSON(w, graph) +} + +// handleGetRelatedObservations returns observations related to a given one. +func (s *Service) handleGetRelatedObservations(w http.ResponseWriter, r *http.Request) { + idStr := chi.URLParam(r, "id") + id, err := strconv.ParseInt(idStr, 10, 64) + if err != nil { + http.Error(w, "invalid observation id", http.StatusBadRequest) + return + } + + // Get minimum confidence parameter (default 0.4) + minConfidence := 0.4 + if confStr := r.URL.Query().Get("min_confidence"); confStr != "" { + if c, err := strconv.ParseFloat(confStr, 64); err == nil && c >= 0 && c <= 1 { + minConfidence = c + } + } + + // Get related observation IDs + relatedIDs, err := s.relationStore.GetRelatedObservationIDs(r.Context(), id, minConfidence) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + if len(relatedIDs) == 0 { + writeJSON(w, []*models.Observation{}) + return + } + + // Fetch full observations + observations, err := s.observationStore.GetObservationsByIDs(r.Context(), relatedIDs, "importance", 50) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + if observations == nil { + observations = []*models.Observation{} + } + + writeJSON(w, observations) +} + +// handleGetRelationsByType returns all relations of a specific type. +func (s *Service) handleGetRelationsByType(w http.ResponseWriter, r *http.Request) { + relType := chi.URLParam(r, "type") + + // Validate relation type + validType := false + for _, t := range models.AllRelationTypes { + if string(t) == relType { + validType = true + break + } + } + if !validType { + http.Error(w, "invalid relation type", http.StatusBadRequest) + return + } + + limit := DefaultRelationsLimit + if limitStr := r.URL.Query().Get("limit"); limitStr != "" { + if l, err := strconv.Atoi(limitStr); err == nil && l > 0 && l <= 100 { + limit = l + } + } + + relations, err := s.relationStore.GetRelationsByType(r.Context(), models.RelationType(relType), limit) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + if relations == nil { + relations = []*models.ObservationRelation{} + } + + writeJSON(w, relations) +} + +// handleGetRelationStats returns statistics about relations. +func (s *Service) handleGetRelationStats(w http.ResponseWriter, r *http.Request) { + // Get total relation count + totalCount, err := s.relationStore.GetTotalRelationCount(r.Context()) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + // Get high confidence relations count + highConfRelations, err := s.relationStore.GetHighConfidenceRelations(r.Context(), 0.7, 1000) + if err != nil { + http.Error(w, err.Error(), http.StatusInternalServerError) + return + } + + // Count by relation type + typeCounts := make(map[string]int) + for _, t := range models.AllRelationTypes { + relations, err := s.relationStore.GetRelationsByType(r.Context(), t, 1000) + if err == nil { + typeCounts[string(t)] = len(relations) + } + } + + writeJSON(w, map[string]interface{}{ + "total_count": totalCount, + "high_confidence": len(highConfRelations), + "by_type": typeCounts, + "min_confidence_used": 0.4, + }) +} diff --git a/internal/worker/handlers_scoring.go b/internal/worker/handlers_scoring.go new file mode 100644 index 0000000..63db0e2 --- /dev/null +++ b/internal/worker/handlers_scoring.go @@ -0,0 +1,354 @@ +// Package worker provides the main worker service for claude-mnemonic. +package worker + +import ( + "context" + "encoding/json" + "net/http" + "strconv" + "time" + + "github.com/go-chi/chi/v5" + "github.com/lukaszraczylo/claude-mnemonic/pkg/models" +) + +// FeedbackRequest represents a user feedback submission. +type FeedbackRequest struct { + Feedback int `json:"feedback"` // -1 (thumbs down), 0 (neutral), 1 (thumbs up) +} + +// handleObservationFeedback handles user feedback (thumbs up/down) for an observation. +// POST /api/observations/{id}/feedback +func (s *Service) handleObservationFeedback(w http.ResponseWriter, r *http.Request) { + // Parse observation ID + idStr := chi.URLParam(r, "id") + id, err := strconv.ParseInt(idStr, 10, 64) + if err != nil { + http.Error(w, "invalid observation id", http.StatusBadRequest) + return + } + + // Parse request body + var req FeedbackRequest + if err := json.NewDecoder(r.Body).Decode(&req); err != nil { + http.Error(w, "invalid request body", http.StatusBadRequest) + return + } + + // Validate feedback value + if req.Feedback < -1 || req.Feedback > 1 { + http.Error(w, "feedback must be -1, 0, or 1", http.StatusBadRequest) + return + } + + // Get required components + s.initMu.RLock() + observationStore := s.observationStore + scoreCalculator := s.scoreCalculator + s.initMu.RUnlock() + + if observationStore == nil { + http.Error(w, "service not ready", http.StatusServiceUnavailable) + return + } + + // Update feedback in database + if err := observationStore.UpdateObservationFeedback(r.Context(), id, req.Feedback); err != nil { + http.Error(w, "failed to update feedback", http.StatusInternalServerError) + return + } + + // Recalculate score immediately if calculator is available + var newScore float64 + if scoreCalculator != nil { + obs, err := observationStore.GetObservationByID(r.Context(), id) + if err == nil && obs != nil { + obs.UserFeedback = req.Feedback // Apply the new feedback + newScore = scoreCalculator.Calculate(obs, time.Now()) + if err := observationStore.UpdateImportanceScore(r.Context(), id, newScore); err != nil { + // Log but don't fail - feedback was recorded + // Score will be updated on next recalculation cycle + } + } + } + + // Broadcast update via SSE + s.sseBroadcaster.Broadcast(map[string]interface{}{ + "type": "observation_feedback", + "id": id, + "feedback": req.Feedback, + "score": newScore, + }) + + writeJSON(w, map[string]interface{}{ + "status": "ok", + "id": id, + "feedback": req.Feedback, + "score": newScore, + }) +} + +// handleGetScoringStats returns scoring statistics and configuration. +// GET /api/scoring/stats +func (s *Service) handleGetScoringStats(w http.ResponseWriter, r *http.Request) { + project := r.URL.Query().Get("project") + + s.initMu.RLock() + observationStore := s.observationStore + recalculator := s.recalculator + s.initMu.RUnlock() + + if observationStore == nil { + http.Error(w, "service not ready", http.StatusServiceUnavailable) + return + } + + // Get feedback statistics + feedbackStats, err := observationStore.GetObservationFeedbackStats(r.Context(), project) + if err != nil { + http.Error(w, "failed to get feedback stats", http.StatusInternalServerError) + return + } + + response := map[string]interface{}{ + "feedback": feedbackStats, + } + + // Add recalculator stats if available + if recalculator != nil { + response["recalculator"] = recalculator.GetStats() + } + + writeJSON(w, response) +} + +// handleGetTopObservations returns the highest-scoring observations. +// GET /api/observations/top +func (s *Service) handleGetTopObservations(w http.ResponseWriter, r *http.Request) { + limit := parseIntParam(r, "limit", 10) + project := r.URL.Query().Get("project") + + s.initMu.RLock() + observationStore := s.observationStore + s.initMu.RUnlock() + + if observationStore == nil { + http.Error(w, "service not ready", http.StatusServiceUnavailable) + return + } + + observations, err := observationStore.GetTopScoringObservations(r.Context(), project, limit) + if err != nil { + http.Error(w, "failed to get top observations", http.StatusInternalServerError) + return + } + + if observations == nil { + observations = []*models.Observation{} + } + + writeJSON(w, observations) +} + +// handleGetMostRetrieved returns the most frequently retrieved observations. +// GET /api/observations/most-retrieved +func (s *Service) handleGetMostRetrieved(w http.ResponseWriter, r *http.Request) { + limit := parseIntParam(r, "limit", 10) + project := r.URL.Query().Get("project") + + s.initMu.RLock() + observationStore := s.observationStore + s.initMu.RUnlock() + + if observationStore == nil { + http.Error(w, "service not ready", http.StatusServiceUnavailable) + return + } + + observations, err := observationStore.GetMostRetrievedObservations(r.Context(), project, limit) + if err != nil { + http.Error(w, "failed to get most retrieved observations", http.StatusInternalServerError) + return + } + + if observations == nil { + observations = []*models.Observation{} + } + + writeJSON(w, observations) +} + +// handleExplainScore returns a breakdown of how an observation's score was calculated. +// GET /api/observations/{id}/score +func (s *Service) handleExplainScore(w http.ResponseWriter, r *http.Request) { + // Parse observation ID + idStr := chi.URLParam(r, "id") + id, err := strconv.ParseInt(idStr, 10, 64) + if err != nil { + http.Error(w, "invalid observation id", http.StatusBadRequest) + return + } + + s.initMu.RLock() + observationStore := s.observationStore + scoreCalculator := s.scoreCalculator + s.initMu.RUnlock() + + if observationStore == nil || scoreCalculator == nil { + http.Error(w, "service not ready", http.StatusServiceUnavailable) + return + } + + // Get observation + obs, err := observationStore.GetObservationByID(r.Context(), id) + if err != nil { + http.Error(w, "failed to get observation", http.StatusInternalServerError) + return + } + if obs == nil { + http.Error(w, "observation not found", http.StatusNotFound) + return + } + + // Calculate score components + components := scoreCalculator.CalculateComponents(obs, time.Now()) + + writeJSON(w, map[string]interface{}{ + "id": id, + "components": components, + "config": scoreCalculator.GetConfig(), + }) +} + +// handleUpdateConceptWeight updates a concept weight. +// PUT /api/scoring/concepts/{concept} +func (s *Service) handleUpdateConceptWeight(w http.ResponseWriter, r *http.Request) { + concept := chi.URLParam(r, "concept") + if concept == "" { + http.Error(w, "concept is required", http.StatusBadRequest) + return + } + + var req struct { + Weight float64 `json:"weight"` + } + if err := json.NewDecoder(r.Body).Decode(&req); err != nil { + http.Error(w, "invalid request body", http.StatusBadRequest) + return + } + + // Validate weight + if req.Weight < 0 || req.Weight > 1 { + http.Error(w, "weight must be between 0 and 1", http.StatusBadRequest) + return + } + + s.initMu.RLock() + observationStore := s.observationStore + recalculator := s.recalculator + s.initMu.RUnlock() + + if observationStore == nil { + http.Error(w, "service not ready", http.StatusServiceUnavailable) + return + } + + // Update in database + if err := observationStore.UpdateConceptWeight(r.Context(), concept, req.Weight); err != nil { + http.Error(w, "failed to update concept weight", http.StatusInternalServerError) + return + } + + // Refresh concept weights in recalculator + if recalculator != nil { + if err := recalculator.RefreshConceptWeights(r.Context()); err != nil { + // Log but don't fail - weight was saved + } + } + + writeJSON(w, map[string]interface{}{ + "status": "ok", + "concept": concept, + "weight": req.Weight, + }) +} + +// handleGetConceptWeights returns all concept weights. +// GET /api/scoring/concepts +func (s *Service) handleGetConceptWeights(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + observationStore := s.observationStore + s.initMu.RUnlock() + + if observationStore == nil { + http.Error(w, "service not ready", http.StatusServiceUnavailable) + return + } + + weights, err := observationStore.GetConceptWeights(r.Context()) + if err != nil { + http.Error(w, "failed to get concept weights", http.StatusInternalServerError) + return + } + + writeJSON(w, weights) +} + +// handleTriggerRecalculation triggers an immediate score recalculation. +// POST /api/scoring/recalculate +func (s *Service) handleTriggerRecalculation(w http.ResponseWriter, r *http.Request) { + s.initMu.RLock() + recalculator := s.recalculator + s.initMu.RUnlock() + + if recalculator == nil { + http.Error(w, "recalculator not available", http.StatusServiceUnavailable) + return + } + + // Run recalculation in background + go func() { + if err := recalculator.RecalculateNow(r.Context()); err != nil { + // Log error but don't block response + } + }() + + writeJSON(w, map[string]string{"status": "recalculation triggered"}) +} + +// parseIntParam parses an integer query parameter with a default value. +func parseIntParam(r *http.Request, name string, defaultVal int) int { + if val := r.URL.Query().Get(name); val != "" { + if parsed, err := strconv.Atoi(val); err == nil && parsed > 0 { + return parsed + } + } + return defaultVal +} + +// incrementRetrievalCounts increments retrieval counts for observations. +// Called after search results are returned to track popularity. +func (s *Service) incrementRetrievalCounts(ids []int64) { + if len(ids) == 0 { + return + } + + s.initMu.RLock() + store := s.observationStore + s.initMu.RUnlock() + + if store == nil { + return + } + + // Increment in background to not block response + go func() { + // Create a new context with timeout for the background operation + ctx, cancel := context.WithTimeout(context.Background(), 3*time.Second) + defer cancel() + + if err := store.IncrementRetrievalCount(ctx, ids); err != nil { + // Log but don't fail - this is a background operation + } + }() +} diff --git a/internal/worker/service.go b/internal/worker/service.go index 5732bd1..76ac219 100644 --- a/internal/worker/service.go +++ b/internal/worker/service.go @@ -15,6 +15,10 @@ import ( "github.com/lukaszraczylo/claude-mnemonic/internal/config" "github.com/lukaszraczylo/claude-mnemonic/internal/db/sqlite" "github.com/lukaszraczylo/claude-mnemonic/internal/embedding" + "github.com/lukaszraczylo/claude-mnemonic/internal/pattern" + "github.com/lukaszraczylo/claude-mnemonic/internal/reranking" + "github.com/lukaszraczylo/claude-mnemonic/internal/scoring" + "github.com/lukaszraczylo/claude-mnemonic/internal/search/expansion" "github.com/lukaszraczylo/claude-mnemonic/internal/update" "github.com/lukaszraczylo/claude-mnemonic/internal/vector/sqlitevec" "github.com/lukaszraczylo/claude-mnemonic/internal/watcher" @@ -64,6 +68,12 @@ type Service struct { observationStore *sqlite.ObservationStore summaryStore *sqlite.SummaryStore promptStore *sqlite.PromptStore + conflictStore *sqlite.ConflictStore + patternStore *sqlite.PatternStore + relationStore *sqlite.RelationStore + + // Pattern detection + patternDetector *pattern.Detector // Domain services sessionManager *session.Manager @@ -75,6 +85,16 @@ type Service struct { vectorClient *sqlitevec.Client vectorSync *sqlitevec.Sync + // Cross-encoder reranking (for improved search relevance) + reranker *reranking.Service + + // Query expansion (for improved search recall) + queryExpander *expansion.Expander + + // Importance scoring + scoreCalculator *scoring.Calculator + recalculator *scoring.Recalculator + // HTTP server router *chi.Mux server *http.Server @@ -177,6 +197,15 @@ func (s *Service) initializeAsync() { observationStore := sqlite.NewObservationStore(store) summaryStore := sqlite.NewSummaryStore(store) promptStore := sqlite.NewPromptStore(store) + conflictStore := sqlite.NewConflictStore(store) + patternStore := sqlite.NewPatternStore(store) + relationStore := sqlite.NewRelationStore(store) + + // Enable conflict detection by linking stores + observationStore.SetConflictStore(conflictStore) + + // Enable relation detection by linking stores + observationStore.SetRelationStore(relationStore) // Create session manager sessionManager := session.NewManager(sessionStore) @@ -186,6 +215,8 @@ func (s *Service) initializeAsync() { var vectorClient *sqlitevec.Client var vectorSync *sqlitevec.Sync + var reranker *reranking.Service + emb, err := embedding.NewService() if err != nil { log.Warn().Err(err).Msg("Embedding service creation failed - vector search disabled") @@ -200,8 +231,32 @@ func (s *Service) initializeAsync() { } else { vectorClient = client vectorSync = sqlitevec.NewSync(client) - log.Info().Msg("sqlite-vec vector search enabled") + log.Info(). + Str("model", embedSvc.Version()). + Msg("sqlite-vec vector search enabled") } + + // Create cross-encoder reranking service if enabled + if s.config.RerankingEnabled { + rerankCfg := reranking.DefaultConfig() + if s.config.RerankingAlpha > 0 && s.config.RerankingAlpha <= 1 { + rerankCfg.Alpha = s.config.RerankingAlpha + } + + ranker, err := reranking.NewService(rerankCfg) + if err != nil { + log.Warn().Err(err).Msg("Cross-encoder reranking service creation failed - reranking disabled") + } else { + reranker = ranker + log.Info(). + Float64("alpha", rerankCfg.Alpha). + Msg("Cross-encoder reranking enabled") + } + } + + // Create query expander for improved search recall + s.queryExpander = expansion.NewExpander(embedSvc) + log.Info().Msg("Query expansion enabled") } // Create SDK processor (optional - will be nil if Claude CLI not available) @@ -225,11 +280,38 @@ func (s *Service) initializeAsync() { s.observationStore = observationStore s.summaryStore = summaryStore s.promptStore = promptStore + s.conflictStore = conflictStore + s.patternStore = patternStore + s.relationStore = relationStore s.sessionManager = sessionManager s.processor = processor s.embedSvc = embedSvc s.vectorClient = vectorClient s.vectorSync = vectorSync + s.reranker = reranker + s.initMu.Unlock() + + // Initialize pattern detector + patternDetector := pattern.NewDetector(patternStore, observationStore, pattern.DefaultConfig()) + + // Set pattern sync callback if vector sync is available + if vectorSync != nil { + patternDetector.SetSyncFunc(func(p *models.Pattern) { + if err := vectorSync.SyncPattern(s.ctx, p); err != nil { + log.Warn().Err(err).Int64("id", p.ID).Msg("Failed to sync pattern to sqlite-vec") + } + }) + + // Set cleanup callback for pattern deletions + patternStore.SetCleanupFunc(func(ctx context.Context, deletedIDs []int64) { + if err := vectorSync.DeletePatterns(ctx, deletedIDs); err != nil { + log.Warn().Err(err).Ints64("ids", deletedIDs).Msg("Failed to delete patterns from sqlite-vec") + } + }) + } + + s.initMu.Lock() + s.patternDetector = patternDetector s.initMu.Unlock() // Set vector sync callbacks on processor if both are available @@ -238,6 +320,22 @@ func (s *Service) initializeAsync() { if err := vectorSync.SyncObservation(s.ctx, obs); err != nil { log.Warn().Err(err).Int64("id", obs.ID).Msg("Failed to sync observation to sqlite-vec") } + // Trigger pattern detection for the new observation + if patternDetector != nil { + go func(observation *models.Observation) { + detectCtx, cancel := context.WithTimeout(context.Background(), 10*time.Second) + defer cancel() + if result, err := patternDetector.AnalyzeObservation(detectCtx, observation); err != nil { + log.Warn().Err(err).Int64("obs_id", observation.ID).Msg("Pattern detection failed") + } else if result.MatchedPattern != nil { + log.Debug(). + Int64("pattern_id", result.MatchedPattern.ID). + Str("pattern_name", result.MatchedPattern.Name). + Bool("is_new", result.IsNewPattern). + Msg("Pattern matched for observation") + } + }(obs) + } }) processor.SetSyncSummaryFunc(func(summary *models.SessionSummary) { if err := vectorSync.SyncSummary(s.ctx, summary); err != nil { @@ -282,6 +380,37 @@ func (s *Service) initializeAsync() { }) }) + // Initialize importance scoring system + scoringConfig := models.DefaultScoringConfig() + + // Load concept weights from database if available + if weights, err := observationStore.GetConceptWeights(s.ctx); err == nil && len(weights) > 0 { + scoringConfig.ConceptWeights = weights + log.Info().Int("count", len(weights)).Msg("Loaded concept weights from database") + } + + scoreCalculator := scoring.NewCalculator(scoringConfig) + recalculator := scoring.NewRecalculator(observationStore, scoreCalculator, log.Logger) + + s.initMu.Lock() + s.scoreCalculator = scoreCalculator + s.recalculator = recalculator + s.initMu.Unlock() + + // Start background recalculator + s.wg.Add(1) + go func() { + defer s.wg.Done() + recalculator.Start(s.ctx) + }() + log.Info().Msg("Importance scoring system initialized") + + // Start pattern detector background analysis + if patternDetector != nil { + patternDetector.Start() + log.Info().Msg("Pattern recognition engine started") + } + // Mark as ready s.ready.Store(true) log.Info().Msg("Async initialization complete - service ready") @@ -294,6 +423,27 @@ func (s *Service) initializeAsync() { // Start file watchers for auto-recreation on deletion s.startWatchers() + + // Check if vectors need rebuilding (empty or model version mismatch) and trigger background rebuild + if vectorClient != nil && vectorSync != nil { + needsRebuild, reason := vectorClient.NeedsRebuild(s.ctx) + if needsRebuild { + log.Info(). + Str("reason", reason). + Str("model", vectorClient.ModelVersion()). + Msg("Vector rebuild required") + + if reason == "empty" { + // Full rebuild - vectors table is empty + s.wg.Add(1) + go s.rebuildAllVectors(observationStore, summaryStore, promptStore, vectorSync) + } else { + // Granular rebuild - only rebuild vectors with mismatched model versions + s.wg.Add(1) + go s.rebuildStaleVectors(observationStore, summaryStore, promptStore, vectorClient, vectorSync) + } + } + } } // startWatchers initializes and starts file watchers for database and config. @@ -384,6 +534,15 @@ func (s *Service) reinitializeDatabase() { observationStore := sqlite.NewObservationStore(store) summaryStore := sqlite.NewSummaryStore(store) promptStore := sqlite.NewPromptStore(store) + conflictStore := sqlite.NewConflictStore(store) + patternStore := sqlite.NewPatternStore(store) + relationStore := sqlite.NewRelationStore(store) + + // Enable conflict detection by linking stores + observationStore.SetConflictStore(conflictStore) + + // Enable relation detection by linking stores + observationStore.SetRelationStore(relationStore) // Create new session manager sessionManager := session.NewManager(sessionStore) @@ -393,6 +552,8 @@ func (s *Service) reinitializeDatabase() { var vectorClient *sqlitevec.Client var vectorSync *sqlitevec.Sync + var reranker *reranking.Service + emb, err := embedding.NewService() if err != nil { log.Warn().Err(err).Msg("Embedding service creation failed after reinit") @@ -408,6 +569,34 @@ func (s *Service) reinitializeDatabase() { vectorSync = sqlitevec.NewSync(client) log.Info().Msg("sqlite-vec reconnected after reinit") } + + // Recreate cross-encoder reranking service if enabled + if s.config.RerankingEnabled { + rerankCfg := reranking.DefaultConfig() + if s.config.RerankingAlpha > 0 && s.config.RerankingAlpha <= 1 { + rerankCfg.Alpha = s.config.RerankingAlpha + } + + ranker, err := reranking.NewService(rerankCfg) + if err != nil { + log.Warn().Err(err).Msg("Cross-encoder reranking service creation failed after reinit") + } else { + reranker = ranker + log.Info().Msg("Cross-encoder reranking reconnected after reinit") + } + } + + // Recreate query expander + s.queryExpander = expansion.NewExpander(embedSvc) + log.Info().Msg("Query expansion reconnected after reinit") + } + + // Close old reranker if exists + s.initMu.RLock() + oldReranker := s.reranker + s.initMu.RUnlock() + if oldReranker != nil { + _ = oldReranker.Close() } // Recreate SDK processor with new stores @@ -422,6 +611,30 @@ func (s *Service) reinitializeDatabase() { }) } + // Stop old pattern detector if it exists + if s.patternDetector != nil { + s.patternDetector.Stop() + } + + // Create new pattern detector + patternDetector := pattern.NewDetector(patternStore, observationStore, pattern.DefaultConfig()) + + // Set pattern sync callback if vector sync is available + if vectorSync != nil { + patternDetector.SetSyncFunc(func(p *models.Pattern) { + if err := vectorSync.SyncPattern(s.ctx, p); err != nil { + log.Warn().Err(err).Int64("id", p.ID).Msg("Failed to sync pattern to sqlite-vec") + } + }) + + // Set cleanup callback for pattern deletions + patternStore.SetCleanupFunc(func(ctx context.Context, deletedIDs []int64) { + if err := vectorSync.DeletePatterns(ctx, deletedIDs); err != nil { + log.Warn().Err(err).Ints64("ids", deletedIDs).Msg("Failed to delete patterns from sqlite-vec") + } + }) + } + // Atomically swap all components s.initMu.Lock() s.store = store @@ -429,20 +642,44 @@ func (s *Service) reinitializeDatabase() { s.observationStore = observationStore s.summaryStore = summaryStore s.promptStore = promptStore + s.conflictStore = conflictStore + s.patternStore = patternStore + s.relationStore = relationStore + s.patternDetector = patternDetector s.sessionManager = sessionManager s.processor = processor s.embedSvc = embedSvc s.vectorClient = vectorClient s.vectorSync = vectorSync + s.reranker = reranker s.initError = nil s.initMu.Unlock() + // Start pattern detector + patternDetector.Start() + // Set vector sync callbacks on processor if both are available if processor != nil && vectorSync != nil { processor.SetSyncObservationFunc(func(obs *models.Observation) { if err := vectorSync.SyncObservation(s.ctx, obs); err != nil { log.Warn().Err(err).Int64("id", obs.ID).Msg("Failed to sync observation to sqlite-vec") } + // Trigger pattern detection for the new observation + if patternDetector != nil { + go func(observation *models.Observation) { + detectCtx, cancel := context.WithTimeout(context.Background(), 10*time.Second) + defer cancel() + if result, err := patternDetector.AnalyzeObservation(detectCtx, observation); err != nil { + log.Warn().Err(err).Int64("obs_id", observation.ID).Msg("Pattern detection failed") + } else if result.MatchedPattern != nil { + log.Debug(). + Int64("pattern_id", result.MatchedPattern.ID). + Str("pattern_name", result.MatchedPattern.Name). + Bool("is_new", result.IsNewPattern). + Msg("Pattern matched for observation") + } + }(obs) + } }) processor.SetSyncSummaryFunc(func(summary *models.SessionSummary) { if err := vectorSync.SyncSummary(s.ctx, summary); err != nil { @@ -565,6 +802,210 @@ func (s *Service) processStaleQueue() { } } +// rebuildAllVectors rebuilds all vectors from observations, summaries, and prompts. +// Called when the vectors table is empty (e.g., after migration 20 drops all vectors). +func (s *Service) rebuildAllVectors( + observationStore *sqlite.ObservationStore, + summaryStore *sqlite.SummaryStore, + promptStore *sqlite.PromptStore, + vectorSync *sqlitevec.Sync, +) { + defer s.wg.Done() + + log.Info().Msg("Starting full vector rebuild...") + start := time.Now() + + var totalSynced int + var syncErrors int + + // Rebuild observations + observations, err := observationStore.GetAllObservations(s.ctx) + if err != nil { + log.Error().Err(err).Msg("Failed to fetch observations for vector rebuild") + } else { + for _, obs := range observations { + if err := vectorSync.SyncObservation(s.ctx, obs); err != nil { + log.Warn().Err(err).Int64("id", obs.ID).Msg("Failed to sync observation during rebuild") + syncErrors++ + } else { + totalSynced++ + } + } + log.Info().Int("count", len(observations)).Msg("Rebuilt observation vectors") + } + + // Rebuild summaries + summaries, err := summaryStore.GetAllSummaries(s.ctx) + if err != nil { + log.Error().Err(err).Msg("Failed to fetch summaries for vector rebuild") + } else { + for _, summary := range summaries { + if err := vectorSync.SyncSummary(s.ctx, summary); err != nil { + log.Warn().Err(err).Int64("id", summary.ID).Msg("Failed to sync summary during rebuild") + syncErrors++ + } else { + totalSynced++ + } + } + log.Info().Int("count", len(summaries)).Msg("Rebuilt summary vectors") + } + + // Rebuild user prompts + prompts, err := promptStore.GetAllPrompts(s.ctx) + if err != nil { + log.Error().Err(err).Msg("Failed to fetch prompts for vector rebuild") + } else { + for _, prompt := range prompts { + if err := vectorSync.SyncUserPrompt(s.ctx, prompt); err != nil { + log.Warn().Err(err).Int64("id", prompt.ID).Msg("Failed to sync prompt during rebuild") + syncErrors++ + } else { + totalSynced++ + } + } + log.Info().Int("count", len(prompts)).Msg("Rebuilt prompt vectors") + } + + elapsed := time.Since(start) + log.Info(). + Int("total_synced", totalSynced). + Int("errors", syncErrors). + Dur("elapsed", elapsed). + Msg("Full vector rebuild complete") +} + +// rebuildStaleVectors rebuilds only vectors with mismatched or unknown model versions. +// This is more efficient than rebuilding all vectors when only some need updating. +func (s *Service) rebuildStaleVectors( + observationStore *sqlite.ObservationStore, + summaryStore *sqlite.SummaryStore, + promptStore *sqlite.PromptStore, + vectorClient *sqlitevec.Client, + vectorSync *sqlitevec.Sync, +) { + defer s.wg.Done() + + log.Info().Msg("Starting granular vector rebuild for stale vectors...") + start := time.Now() + + // Get all stale vectors + staleVectors, err := vectorClient.GetStaleVectors(s.ctx) + if err != nil { + log.Error().Err(err).Msg("Failed to get stale vectors") + return + } + + if len(staleVectors) == 0 { + log.Info().Msg("No stale vectors found") + return + } + + log.Info().Int("stale_count", len(staleVectors)).Msg("Found stale vectors to rebuild") + + // Group stale vectors by doc_type and sqlite_id for efficient lookup + staleObsIDs := make(map[int64]bool) + staleSummaryIDs := make(map[int64]bool) + stalePromptIDs := make(map[int64]bool) + staleDocIDs := make([]string, 0, len(staleVectors)) + + for _, sv := range staleVectors { + staleDocIDs = append(staleDocIDs, sv.DocID) + switch sv.DocType { + case "observation": + staleObsIDs[sv.SQLiteID] = true + case "summary": + staleSummaryIDs[sv.SQLiteID] = true + case "prompt": + stalePromptIDs[sv.SQLiteID] = true + } + } + + // Delete stale vectors before re-syncing + if err := vectorClient.DeleteVectorsByDocIDs(s.ctx, staleDocIDs); err != nil { + log.Error().Err(err).Msg("Failed to delete stale vectors") + return + } + + var totalSynced int + var syncErrors int + + // Rebuild stale observations + if len(staleObsIDs) > 0 { + ids := make([]int64, 0, len(staleObsIDs)) + for id := range staleObsIDs { + ids = append(ids, id) + } + + observations, err := observationStore.GetObservationsByIDs(s.ctx, ids, "date_desc", 0) + if err != nil { + log.Error().Err(err).Msg("Failed to fetch observations for rebuild") + } else { + for _, obs := range observations { + if err := vectorSync.SyncObservation(s.ctx, obs); err != nil { + log.Warn().Err(err).Int64("id", obs.ID).Msg("Failed to sync observation during rebuild") + syncErrors++ + } else { + totalSynced++ + } + } + log.Info().Int("count", len(observations)).Msg("Rebuilt stale observation vectors") + } + } + + // Rebuild stale summaries + if len(staleSummaryIDs) > 0 { + ids := make([]int64, 0, len(staleSummaryIDs)) + for id := range staleSummaryIDs { + ids = append(ids, id) + } + + summaries, err := summaryStore.GetSummariesByIDs(s.ctx, ids, "date_desc", 0) + if err != nil { + log.Error().Err(err).Msg("Failed to fetch summaries for rebuild") + } else { + for _, summary := range summaries { + if err := vectorSync.SyncSummary(s.ctx, summary); err != nil { + log.Warn().Err(err).Int64("id", summary.ID).Msg("Failed to sync summary during rebuild") + syncErrors++ + } else { + totalSynced++ + } + } + log.Info().Int("count", len(summaries)).Msg("Rebuilt stale summary vectors") + } + } + + // Rebuild stale prompts + if len(stalePromptIDs) > 0 { + ids := make([]int64, 0, len(stalePromptIDs)) + for id := range stalePromptIDs { + ids = append(ids, id) + } + + prompts, err := promptStore.GetPromptsByIDs(s.ctx, ids, "date_desc", 0) + if err != nil { + log.Error().Err(err).Msg("Failed to fetch prompts for rebuild") + } else { + for _, prompt := range prompts { + if err := vectorSync.SyncUserPrompt(s.ctx, prompt); err != nil { + log.Warn().Err(err).Int64("id", prompt.ID).Msg("Failed to sync prompt during rebuild") + syncErrors++ + } else { + totalSynced++ + } + } + log.Info().Int("count", len(prompts)).Msg("Rebuilt stale prompt vectors") + } + } + + elapsed := time.Since(start) + log.Info(). + Int("total_synced", totalSynced). + Int("errors", syncErrors). + Dur("elapsed", elapsed). + Msg("Granular vector rebuild complete") +} + // verifyStaleObservation verifies a single stale observation in the background. func (s *Service) verifyStaleObservation(req staleVerifyRequest) { // Wait for service to be ready @@ -667,11 +1108,42 @@ func (s *Service) setupRoutes() { r.Get("/api/stats", s.handleGetStats) r.Get("/api/stats/retrieval", s.handleGetRetrievalStats) r.Get("/api/types", s.handleGetTypes) + r.Get("/api/models", s.handleGetModels) + + // Observation scoring and feedback routes + r.Post("/api/observations/{id}/feedback", s.handleObservationFeedback) + r.Get("/api/observations/{id}/score", s.handleExplainScore) + r.Get("/api/observations/top", s.handleGetTopObservations) + r.Get("/api/observations/most-retrieved", s.handleGetMostRetrieved) + + // Scoring configuration routes + r.Get("/api/scoring/stats", s.handleGetScoringStats) + r.Get("/api/scoring/concepts", s.handleGetConceptWeights) + r.Put("/api/scoring/concepts/{concept}", s.handleUpdateConceptWeight) + r.Post("/api/scoring/recalculate", s.handleTriggerRecalculation) // Context injection r.Get("/api/context/count", s.handleContextCount) r.Get("/api/context/inject", s.handleContextInject) r.Get("/api/context/search", s.handleSearchByPrompt) + + // Pattern routes + r.Get("/api/patterns", s.handleGetPatterns) + r.Get("/api/patterns/stats", s.handleGetPatternStats) + r.Get("/api/patterns/search", s.handleSearchPatterns) + r.Get("/api/patterns/by-name", s.handleGetPatternByName) + r.Get("/api/patterns/{id}", s.handleGetPatternByID) + r.Get("/api/patterns/{id}/insight", s.handleGetPatternInsight) + r.Delete("/api/patterns/{id}", s.handleDeletePattern) + r.Post("/api/patterns/{id}/deprecate", s.handleDeprecatePattern) + r.Post("/api/patterns/merge", s.handleMergePatterns) + + // Relation routes (knowledge graph) + r.Get("/api/relations/stats", s.handleGetRelationStats) + r.Get("/api/relations/type/{type}", s.handleGetRelationsByType) + r.Get("/api/observations/{id}/relations", s.handleGetRelations) + r.Get("/api/observations/{id}/graph", s.handleGetRelationGraph) + r.Get("/api/observations/{id}/related", s.handleGetRelatedObservations) }) } @@ -894,6 +1366,16 @@ func (s *Service) Shutdown(ctx context.Context) error { _ = s.configWatcher.Stop() } + // Stop background recalculator + if s.recalculator != nil { + s.recalculator.Stop() + } + + // Stop pattern detector + if s.patternDetector != nil { + s.patternDetector.Stop() + } + // Shutdown all sessions s.sessionManager.ShutdownAll(ctx) @@ -904,6 +1386,13 @@ func (s *Service) Shutdown(ctx context.Context) error { } } + // Close reranking service + if s.reranker != nil { + if err := s.reranker.Close(); err != nil { + log.Error().Err(err).Msg("Reranking service close error") + } + } + // Close embedding service if s.embedSvc != nil { if err := s.embedSvc.Close(); err != nil { diff --git a/pkg/models/conflict.go b/pkg/models/conflict.go new file mode 100644 index 0000000..c3ed126 --- /dev/null +++ b/pkg/models/conflict.go @@ -0,0 +1,258 @@ +// Package models contains domain models for claude-mnemonic. +package models + +import ( + "regexp" + "strings" + "time" +) + +// ConflictType represents the type of conflict between observations. +type ConflictType string + +const ( + // ConflictSuperseded means newer observation supersedes older one (same topic, updated info). + ConflictSuperseded ConflictType = "superseded" + // ConflictContradicts means observations contain contradictory information. + ConflictContradicts ConflictType = "contradicts" + // ConflictOutdatedPattern means an outdated pattern/practice was identified. + ConflictOutdatedPattern ConflictType = "outdated_pattern" +) + +// ConflictResolution indicates which observation to prefer. +type ConflictResolution string + +const ( + // ResolutionPreferNewer means prefer the newer observation. + ResolutionPreferNewer ConflictResolution = "prefer_newer" + // ResolutionPreferOlder means prefer the older observation (rare). + ResolutionPreferOlder ConflictResolution = "prefer_older" + // ResolutionManual means manual review is needed. + ResolutionManual ConflictResolution = "manual" +) + +// ObservationConflict tracks conflicting observations. +type ObservationConflict struct { + ID int64 `db:"id" json:"id"` + NewerObsID int64 `db:"newer_obs_id" json:"newer_obs_id"` + OlderObsID int64 `db:"older_obs_id" json:"older_obs_id"` + ConflictType ConflictType `db:"conflict_type" json:"conflict_type"` + Resolution ConflictResolution `db:"resolution" json:"resolution"` + Reason string `db:"reason" json:"reason"` + DetectedAt string `db:"detected_at" json:"detected_at"` + DetectedAtEpoch int64 `db:"detected_at_epoch" json:"detected_at_epoch"` + Resolved bool `db:"resolved" json:"resolved"` + ResolvedAt *string `db:"resolved_at" json:"resolved_at,omitempty"` +} + +// ConflictDetectionResult contains the result of conflict detection. +type ConflictDetectionResult struct { + HasConflict bool + Type ConflictType + Resolution ConflictResolution + Reason string + OlderObsIDs []int64 // IDs of observations that conflict with the new one +} + +// NewObservationConflict creates a new conflict record. +func NewObservationConflict(newerID, olderID int64, conflictType ConflictType, resolution ConflictResolution, reason string) *ObservationConflict { + now := time.Now() + return &ObservationConflict{ + NewerObsID: newerID, + OlderObsID: olderID, + ConflictType: conflictType, + Resolution: resolution, + Reason: reason, + DetectedAt: now.Format(time.RFC3339), + DetectedAtEpoch: now.UnixMilli(), + Resolved: false, + } +} + +// CorrectionPatterns contains regex patterns that indicate explicit corrections. +var CorrectionPatterns = []*regexp.Regexp{ + regexp.MustCompile(`(?i)\bactually[,\s]+that\s+was\s+wrong\b`), + regexp.MustCompile(`(?i)\bactually[,\s]+that's\s+(wrong|incorrect|not\s+right)\b`), + regexp.MustCompile(`(?i)\bpreviously\s+(said|mentioned|noted)\s+.*\s+but\b`), + regexp.MustCompile(`(?i)\bcorrection:\s*`), + regexp.MustCompile(`(?i)\bignore\s+(the\s+)?(previous|earlier)\b`), + regexp.MustCompile(`(?i)\bdisregard\s+(the\s+)?(previous|earlier)\b`), + regexp.MustCompile(`(?i)\bwas\s+(wrong|incorrect|mistaken)\b`), + regexp.MustCompile(`(?i)\bturns\s+out\s+.*(wrong|incorrect|not\s+the\s+case)\b`), + regexp.MustCompile(`(?i)\b(supersedes|replaces|overrides)\s+(the\s+)?(previous|earlier|old)\b`), + regexp.MustCompile(`(?i)\b(don't|do\s+not)\s+use\s+.*\s+anymore\b`), + regexp.MustCompile(`(?i)\bno\s+longer\s+(valid|applicable|correct|recommended)\b`), + regexp.MustCompile(`(?i)\bdeprecated\s+(approach|method|pattern|way)\b`), + regexp.MustCompile(`(?i)\bshould\s+have\s+(been|used)\b.*instead\b`), + regexp.MustCompile(`(?i)\bbetter\s+(approach|way|method|solution)\s+is\b`), +} + +// OpposingChangePatterns detects add/remove conflicts. +var OpposingChangePatterns = map[string]string{ + "add": "remove", + "added": "removed", + "create": "delete", + "created": "deleted", + "enable": "disable", + "enabled": "disabled", + "include": "exclude", + "allow": "deny", + "permit": "block", +} + +// DetectExplicitCorrection checks if text contains explicit correction language. +func DetectExplicitCorrection(text string) (bool, string) { + for _, pattern := range CorrectionPatterns { + if match := pattern.FindString(text); match != "" { + return true, "Explicit correction detected: " + match + } + } + return false, "" +} + +// DetectOpposingFileChanges checks if two observations have opposing changes on the same file. +func DetectOpposingFileChanges(newer, older *Observation) (bool, string) { + // Check for overlapping modified files + newerFiles := make(map[string]bool) + for _, f := range newer.FilesModified { + newerFiles[f] = true + } + + var overlappingFiles []string + for _, f := range older.FilesModified { + if newerFiles[f] { + overlappingFiles = append(overlappingFiles, f) + } + } + + if len(overlappingFiles) == 0 { + return false, "" + } + + // Check for opposing action words in titles/narratives + newerText := strings.ToLower(newer.Title.String + " " + newer.Narrative.String) + olderText := strings.ToLower(older.Title.String + " " + older.Narrative.String) + + for action, opposite := range OpposingChangePatterns { + if (strings.Contains(newerText, action) && strings.Contains(olderText, opposite)) || + (strings.Contains(newerText, opposite) && strings.Contains(olderText, action)) { + return true, "Opposing changes on files: " + strings.Join(overlappingFiles, ", ") + } + } + + return false, "" +} + +// DetectConceptTagMismatch checks if observations have same concepts but different recommendations. +func DetectConceptTagMismatch(newer, older *Observation) (bool, string) { + // Find overlapping concepts + newerConcepts := make(map[string]bool) + for _, c := range newer.Concepts { + newerConcepts[c] = true + } + + var overlapping []string + for _, c := range older.Concepts { + if newerConcepts[c] { + overlapping = append(overlapping, c) + } + } + + if len(overlapping) == 0 { + return false, "" + } + + // Check if same file was modified and concepts overlap + // This suggests the newer observation may update the approach + newerFiles := make(map[string]bool) + for _, f := range newer.FilesModified { + newerFiles[f] = true + } + for _, f := range older.FilesModified { + if newerFiles[f] { + // Same file modified with same concepts - likely an update + return true, "Same concepts (" + strings.Join(overlapping, ", ") + ") with overlapping file changes" + } + } + + return false, "" +} + +// DetectConflict performs comprehensive conflict detection between a new observation +// and an existing one. Returns detection result. +func DetectConflict(newer, older *Observation) *ConflictDetectionResult { + result := &ConflictDetectionResult{ + HasConflict: false, + } + + // 1. Check for explicit correction language in newer observation + if newer.Narrative.Valid { + if isCorrection, reason := DetectExplicitCorrection(newer.Narrative.String); isCorrection { + result.HasConflict = true + result.Type = ConflictContradicts + result.Resolution = ResolutionPreferNewer + result.Reason = reason + result.OlderObsIDs = append(result.OlderObsIDs, older.ID) + return result + } + } + + // Check title as well + if newer.Title.Valid { + if isCorrection, reason := DetectExplicitCorrection(newer.Title.String); isCorrection { + result.HasConflict = true + result.Type = ConflictContradicts + result.Resolution = ResolutionPreferNewer + result.Reason = reason + result.OlderObsIDs = append(result.OlderObsIDs, older.ID) + return result + } + } + + // 2. Check for opposing file changes + if isOpposing, reason := DetectOpposingFileChanges(newer, older); isOpposing { + result.HasConflict = true + result.Type = ConflictSuperseded + result.Resolution = ResolutionPreferNewer + result.Reason = reason + result.OlderObsIDs = append(result.OlderObsIDs, older.ID) + return result + } + + // 3. Check for concept tag mismatches with same files + if isMismatch, reason := DetectConceptTagMismatch(newer, older); isMismatch { + result.HasConflict = true + result.Type = ConflictSuperseded + result.Resolution = ResolutionPreferNewer + result.Reason = reason + result.OlderObsIDs = append(result.OlderObsIDs, older.ID) + return result + } + + return result +} + +// DetectConflictsWithExisting checks a new observation against a list of existing observations. +// Returns all detected conflicts. +func DetectConflictsWithExisting(newer *Observation, existing []*Observation) []*ConflictDetectionResult { + var results []*ConflictDetectionResult + + for _, older := range existing { + // Skip self-comparison + if older.ID == newer.ID { + continue + } + + // Only compare within same project (or both global) + if newer.Project != older.Project && newer.Scope != ScopeGlobal && older.Scope != ScopeGlobal { + continue + } + + result := DetectConflict(newer, older) + if result.HasConflict { + results = append(results, result) + } + } + + return results +} diff --git a/pkg/models/conflict_test.go b/pkg/models/conflict_test.go new file mode 100644 index 0000000..ed14d21 --- /dev/null +++ b/pkg/models/conflict_test.go @@ -0,0 +1,421 @@ +// Package models contains domain models for claude-mnemonic. +package models + +import ( + "database/sql" + "testing" + + "github.com/stretchr/testify/assert" + "github.com/stretchr/testify/suite" +) + +// ConflictSuite is a test suite for conflict detection operations. +type ConflictSuite struct { + suite.Suite +} + +func TestConflictSuite(t *testing.T) { + suite.Run(t, new(ConflictSuite)) +} + +// TestConflictTypeConstants tests conflict type constants. +func (s *ConflictSuite) TestConflictTypeConstants() { + s.Equal(ConflictType("superseded"), ConflictSuperseded) + s.Equal(ConflictType("contradicts"), ConflictContradicts) + s.Equal(ConflictType("outdated_pattern"), ConflictOutdatedPattern) +} + +// TestResolutionConstants tests resolution constants. +func (s *ConflictSuite) TestResolutionConstants() { + s.Equal(ConflictResolution("prefer_newer"), ResolutionPreferNewer) + s.Equal(ConflictResolution("prefer_older"), ResolutionPreferOlder) + s.Equal(ConflictResolution("manual"), ResolutionManual) +} + +// TestNewObservationConflict tests conflict creation. +func (s *ConflictSuite) TestNewObservationConflict() { + conflict := NewObservationConflict(2, 1, ConflictSuperseded, ResolutionPreferNewer, "Test reason") + + s.Equal(int64(2), conflict.NewerObsID) + s.Equal(int64(1), conflict.OlderObsID) + s.Equal(ConflictSuperseded, conflict.ConflictType) + s.Equal(ResolutionPreferNewer, conflict.Resolution) + s.Equal("Test reason", conflict.Reason) + s.False(conflict.Resolved) + s.NotEmpty(conflict.DetectedAt) + s.Greater(conflict.DetectedAtEpoch, int64(0)) +} + +// TestDetectExplicitCorrection_TableDriven tests explicit correction detection. +func (s *ConflictSuite) TestDetectExplicitCorrection_TableDriven() { + tests := []struct { + name string + text string + expectMatch bool + expectPattern string + }{ + { + name: "actually that was wrong", + text: "Actually, that was wrong - we should use a different approach", + expectMatch: true, + expectPattern: "actually, that was wrong", + }, + { + name: "correction prefix", + text: "Correction: the previous implementation had a bug", + expectMatch: true, + expectPattern: "correction:", + }, + { + name: "ignore previous", + text: "Please ignore the previous recommendation", + expectMatch: true, + expectPattern: "ignore", + }, + { + name: "disregard earlier", + text: "Disregard the earlier suggestion, it was flawed", + expectMatch: true, + expectPattern: "disregard", + }, + { + name: "was wrong", + text: "The original approach was wrong", + expectMatch: true, + expectPattern: "was wrong", + }, + { + name: "no longer valid", + text: "This method is no longer valid after the refactor", + expectMatch: true, + expectPattern: "no longer valid", + }, + { + name: "deprecated approach", + text: "This is a deprecated approach that should not be used", + expectMatch: true, + expectPattern: "deprecated approach", + }, + { + name: "better approach is", + text: "A better approach is to use the new API", + expectMatch: true, + expectPattern: "better approach is", + }, + { + name: "normal text - no correction", + text: "This is a normal observation about the code", + expectMatch: false, + }, + { + name: "empty text", + text: "", + expectMatch: false, + }, + } + + for _, tt := range tests { + s.Run(tt.name, func() { + found, reason := DetectExplicitCorrection(tt.text) + s.Equal(tt.expectMatch, found) + if tt.expectMatch { + s.Contains(reason, "Explicit correction detected") + } + }) + } +} + +// TestDetectOpposingFileChanges_TableDriven tests opposing file change detection. +func (s *ConflictSuite) TestDetectOpposingFileChanges_TableDriven() { + tests := []struct { + name string + newerObs *Observation + olderObs *Observation + expectConflict bool + }{ + { + name: "add then remove - conflict", + newerObs: &Observation{ + Title: sql.NullString{String: "Remove authentication middleware", Valid: true}, + Narrative: sql.NullString{String: "Removed the auth middleware from handlers", Valid: true}, + FilesModified: []string{"middleware.go", "handler.go"}, + }, + olderObs: &Observation{ + Title: sql.NullString{String: "Add authentication middleware", Valid: true}, + Narrative: sql.NullString{String: "Added auth middleware to secure endpoints", Valid: true}, + FilesModified: []string{"middleware.go", "handler.go"}, + }, + expectConflict: true, + }, + { + name: "enable then disable - conflict", + newerObs: &Observation{ + Title: sql.NullString{String: "Disable caching feature", Valid: true}, + Narrative: sql.NullString{String: "Disabled caching due to issues", Valid: true}, + FilesModified: []string{"cache.go"}, + }, + olderObs: &Observation{ + Title: sql.NullString{String: "Enable caching feature", Valid: true}, + Narrative: sql.NullString{String: "Enabled caching for performance", Valid: true}, + FilesModified: []string{"cache.go"}, + }, + expectConflict: true, + }, + { + name: "different files - no conflict", + newerObs: &Observation{ + Title: sql.NullString{String: "Remove old code", Valid: true}, + Narrative: sql.NullString{String: "Removed deprecated functions", Valid: true}, + FilesModified: []string{"old.go"}, + }, + olderObs: &Observation{ + Title: sql.NullString{String: "Add new feature", Valid: true}, + Narrative: sql.NullString{String: "Added new functions", Valid: true}, + FilesModified: []string{"new.go"}, + }, + expectConflict: false, + }, + { + name: "same files but no opposing keywords - no conflict", + newerObs: &Observation{ + Title: sql.NullString{String: "Update handler logic", Valid: true}, + Narrative: sql.NullString{String: "Updated the handler implementation", Valid: true}, + FilesModified: []string{"handler.go"}, + }, + olderObs: &Observation{ + Title: sql.NullString{String: "Fix handler bug", Valid: true}, + Narrative: sql.NullString{String: "Fixed a bug in handler", Valid: true}, + FilesModified: []string{"handler.go"}, + }, + expectConflict: false, + }, + } + + for _, tt := range tests { + s.Run(tt.name, func() { + found, _ := DetectOpposingFileChanges(tt.newerObs, tt.olderObs) + s.Equal(tt.expectConflict, found) + }) + } +} + +// TestDetectConceptTagMismatch_TableDriven tests concept tag mismatch detection. +func (s *ConflictSuite) TestDetectConceptTagMismatch_TableDriven() { + tests := []struct { + name string + newerObs *Observation + olderObs *Observation + expectConflict bool + }{ + { + name: "same concepts and files - conflict", + newerObs: &Observation{ + Concepts: []string{"security", "authentication"}, + FilesModified: []string{"auth.go"}, + }, + olderObs: &Observation{ + Concepts: []string{"security", "authentication"}, + FilesModified: []string{"auth.go"}, + }, + expectConflict: true, + }, + { + name: "overlapping concepts different files - no conflict", + newerObs: &Observation{ + Concepts: []string{"security"}, + FilesModified: []string{"new_auth.go"}, + }, + olderObs: &Observation{ + Concepts: []string{"security"}, + FilesModified: []string{"old_auth.go"}, + }, + expectConflict: false, + }, + { + name: "different concepts same files - no conflict", + newerObs: &Observation{ + Concepts: []string{"performance"}, + FilesModified: []string{"handler.go"}, + }, + olderObs: &Observation{ + Concepts: []string{"testing"}, + FilesModified: []string{"handler.go"}, + }, + expectConflict: false, + }, + { + name: "no overlapping concepts or files - no conflict", + newerObs: &Observation{ + Concepts: []string{"security"}, + FilesModified: []string{"auth.go"}, + }, + olderObs: &Observation{ + Concepts: []string{"testing"}, + FilesModified: []string{"test.go"}, + }, + expectConflict: false, + }, + } + + for _, tt := range tests { + s.Run(tt.name, func() { + found, _ := DetectConceptTagMismatch(tt.newerObs, tt.olderObs) + s.Equal(tt.expectConflict, found) + }) + } +} + +// TestDetectConflict tests comprehensive conflict detection. +func (s *ConflictSuite) TestDetectConflict() { + // Test explicit correction takes precedence + newer := &Observation{ + ID: 2, + Project: "test", + Narrative: sql.NullString{String: "Actually, that was wrong. We should use a different approach.", Valid: true}, + } + older := &Observation{ + ID: 1, + Project: "test", + } + + result := DetectConflict(newer, older) + s.True(result.HasConflict) + s.Equal(ConflictContradicts, result.Type) + s.Equal(ResolutionPreferNewer, result.Resolution) + s.Contains(result.Reason, "Explicit correction") +} + +// TestDetectConflictsWithExisting tests conflict detection against multiple observations. +func (s *ConflictSuite) TestDetectConflictsWithExisting() { + newer := &Observation{ + ID: 3, + Project: "test", + Narrative: sql.NullString{String: "Actually, that was wrong", Valid: true}, + Concepts: []string{"security"}, + FilesModified: []string{"auth.go"}, + } + + existing := []*Observation{ + { + ID: 1, + Project: "test", + Concepts: []string{"security"}, + FilesModified: []string{"auth.go"}, + }, + { + ID: 2, + Project: "test", + Concepts: []string{"testing"}, + FilesModified: []string{"test.go"}, + }, + { + ID: 3, // Same as newer - should be skipped + Project: "test", + }, + } + + results := DetectConflictsWithExisting(newer, existing) + + // Should find conflicts with obs 1 (concepts + files overlap + correction language) + // but not with obs 2 (different concepts/files) or obs 3 (same ID) + s.GreaterOrEqual(len(results), 1) + + // At least one result should reference obs 1 + foundObs1 := false + for _, r := range results { + for _, id := range r.OlderObsIDs { + if id == 1 { + foundObs1 = true + break + } + } + } + s.True(foundObs1) +} + +// TestDetectConflictsWithExisting_DifferentProjects tests that different projects don't conflict. +func (s *ConflictSuite) TestDetectConflictsWithExisting_DifferentProjects() { + newer := &Observation{ + ID: 2, + Project: "project-a", + Scope: ScopeProject, + Narrative: sql.NullString{String: "Actually, that was wrong", Valid: true}, + } + + existing := []*Observation{ + { + ID: 1, + Project: "project-b", + Scope: ScopeProject, + }, + } + + results := DetectConflictsWithExisting(newer, existing) + s.Empty(results) // Different projects should not conflict +} + +// TestDetectConflictsWithExisting_GlobalScope tests that global observations can conflict across projects. +func (s *ConflictSuite) TestDetectConflictsWithExisting_GlobalScope() { + newer := &Observation{ + ID: 2, + Project: "project-a", + Scope: ScopeGlobal, + Narrative: sql.NullString{String: "Actually, that was wrong", Valid: true}, + Concepts: []string{"security"}, + FilesModified: []string{"auth.go"}, + } + + existing := []*Observation{ + { + ID: 1, + Project: "project-b", + Scope: ScopeGlobal, // Global scope allows cross-project conflict detection + Concepts: []string{"security"}, + FilesModified: []string{"auth.go"}, + }, + } + + results := DetectConflictsWithExisting(newer, existing) + s.GreaterOrEqual(len(results), 1) // Global scope allows conflict detection +} + +// TestCorrectionPatterns_Compiled ensures all patterns compile correctly. +func TestCorrectionPatterns_Compiled(t *testing.T) { + // This test verifies that all correction patterns are valid regexps + // If any pattern fails to compile, the package won't load + assert.NotEmpty(t, CorrectionPatterns) + for i, pattern := range CorrectionPatterns { + assert.NotNil(t, pattern, "Pattern %d should not be nil", i) + } +} + +// TestOpposingChangePatterns tests the opposing change pattern map. +func TestOpposingChangePatterns(t *testing.T) { + assert.NotEmpty(t, OpposingChangePatterns) + assert.Equal(t, "remove", OpposingChangePatterns["add"]) + assert.Equal(t, "removed", OpposingChangePatterns["added"]) + assert.Equal(t, "delete", OpposingChangePatterns["create"]) + assert.Equal(t, "disable", OpposingChangePatterns["enable"]) +} + +// TestObservationConflict_Fields tests field access. +func TestObservationConflict_Fields(t *testing.T) { + conflict := &ObservationConflict{ + ID: 1, + NewerObsID: 10, + OlderObsID: 5, + ConflictType: ConflictSuperseded, + Resolution: ResolutionPreferNewer, + Reason: "Test reason", + DetectedAt: "2024-01-01T00:00:00Z", + DetectedAtEpoch: 1704067200000, + Resolved: false, + } + + assert.Equal(t, int64(1), conflict.ID) + assert.Equal(t, int64(10), conflict.NewerObsID) + assert.Equal(t, int64(5), conflict.OlderObsID) + assert.Equal(t, ConflictSuperseded, conflict.ConflictType) + assert.Equal(t, ResolutionPreferNewer, conflict.Resolution) + assert.False(t, conflict.Resolved) +} diff --git a/pkg/models/observation.go b/pkg/models/observation.go index 071e048..abf1ff9 100644 --- a/pkg/models/observation.go +++ b/pkg/models/observation.go @@ -139,6 +139,16 @@ type Observation struct { CreatedAt string `db:"created_at" json:"created_at"` CreatedAtEpoch int64 `db:"created_at_epoch" json:"created_at_epoch"` IsStale bool `db:"-" json:"is_stale,omitempty"` + + // Importance scoring fields + ImportanceScore float64 `db:"importance_score" json:"importance_score"` + UserFeedback int `db:"user_feedback" json:"user_feedback"` + RetrievalCount int `db:"retrieval_count" json:"retrieval_count"` + LastRetrievedAt sql.NullInt64 `db:"last_retrieved_at_epoch" json:"last_retrieved_at_epoch,omitempty"` + ScoreUpdatedAt sql.NullInt64 `db:"score_updated_at_epoch" json:"score_updated_at_epoch,omitempty"` + + // Conflict detection fields + IsSuperseded bool `db:"is_superseded" json:"is_superseded,omitempty"` } // ParsedObservation represents an observation parsed from SDK response XML. @@ -205,6 +215,16 @@ type ObservationJSON struct { CreatedAt string `json:"created_at"` CreatedAtEpoch int64 `json:"created_at_epoch"` IsStale bool `json:"is_stale,omitempty"` + + // Importance scoring fields + ImportanceScore float64 `json:"importance_score"` + UserFeedback int `json:"user_feedback"` + RetrievalCount int `json:"retrieval_count"` + LastRetrievedAt int64 `json:"last_retrieved_at_epoch,omitempty"` + ScoreUpdatedAt int64 `json:"score_updated_at_epoch,omitempty"` + + // Conflict detection fields + IsSuperseded bool `json:"is_superseded,omitempty"` } // MarshalJSON implements json.Marshaler for Observation. @@ -225,6 +245,12 @@ func (o *Observation) MarshalJSON() ([]byte, error) { CreatedAt: o.CreatedAt, CreatedAtEpoch: o.CreatedAtEpoch, IsStale: o.IsStale, + // Importance scoring fields + ImportanceScore: o.ImportanceScore, + UserFeedback: o.UserFeedback, + RetrievalCount: o.RetrievalCount, + // Conflict detection fields + IsSuperseded: o.IsSuperseded, } if o.Title.Valid { j.Title = o.Title.String @@ -238,6 +264,12 @@ func (o *Observation) MarshalJSON() ([]byte, error) { if o.PromptNumber.Valid { j.PromptNumber = o.PromptNumber.Int64 } + if o.LastRetrievedAt.Valid { + j.LastRetrievedAt = o.LastRetrievedAt.Int64 + } + if o.ScoreUpdatedAt.Valid { + j.ScoreUpdatedAt = o.ScoreUpdatedAt.Int64 + } return json.Marshal(j) } @@ -268,9 +300,28 @@ func NewObservation(sdkSessionID, project string, parsed *ParsedObservation, pro DiscoveryTokens: discoveryTokens, CreatedAt: now.Format(time.RFC3339), CreatedAtEpoch: now.UnixMilli(), + // Importance scoring: new observations start with score 1.0 + ImportanceScore: 1.0, + UserFeedback: 0, + RetrievalCount: 0, } } +// ToMap converts the observation to a map for JSON response building. +// This allows adding extra fields like similarity scores. +func (o *Observation) ToMap() map[string]interface{} { + // Marshal to JSON then unmarshal to map (uses MarshalJSON for proper conversion) + data, err := json.Marshal(o) + if err != nil { + return map[string]interface{}{"id": o.ID, "error": err.Error()} + } + var result map[string]interface{} + if err := json.Unmarshal(data, &result); err != nil { + return map[string]interface{}{"id": o.ID, "error": err.Error()} + } + return result +} + // CheckStaleness checks if an observation is stale based on current file mtimes. // Returns true if any tracked file has been modified since the observation was created. func (o *Observation) CheckStaleness(currentMtimes map[string]int64) bool { diff --git a/pkg/models/pattern.go b/pkg/models/pattern.go new file mode 100644 index 0000000..03d3d6f --- /dev/null +++ b/pkg/models/pattern.go @@ -0,0 +1,398 @@ +// Package models contains domain models for claude-mnemonic. +package models + +import ( + "database/sql" + "database/sql/driver" + "encoding/json" + "time" +) + +// PatternType represents the category of detected pattern. +type PatternType string + +const ( + // PatternTypeBug represents recurring bug patterns (e.g., "nil handling oversight"). + PatternTypeBug PatternType = "bug" + // PatternTypeRefactor represents recurring refactoring approaches (e.g., "interface extraction"). + PatternTypeRefactor PatternType = "refactor" + // PatternTypeArchitecture represents consistent architectural patterns. + PatternTypeArchitecture PatternType = "architecture" + // PatternTypeAntiPattern represents identified anti-patterns to avoid. + PatternTypeAntiPattern PatternType = "anti-pattern" + // PatternTypeBestPractice represents best practices that work consistently. + PatternTypeBestPractice PatternType = "best-practice" +) + +// PatternStatus represents the lifecycle status of a pattern. +type PatternStatus string + +const ( + // PatternStatusActive means the pattern is actively being tracked and can be referenced. + PatternStatusActive PatternStatus = "active" + // PatternStatusDeprecated means the pattern has been superseded or is no longer relevant. + PatternStatusDeprecated PatternStatus = "deprecated" + // PatternStatusMerged means this pattern was merged into another pattern. + PatternStatusMerged PatternStatus = "merged" +) + +// Pattern represents a recurring pattern detected across observations. +// This enables Claude to reference historical insights: "I've encountered this pattern 12 times." +type Pattern struct { + ID int64 `db:"id" json:"id"` + Name string `db:"name" json:"name"` // e.g., "State Management Anti-Pattern" + Type PatternType `db:"type" json:"type"` // bug, refactor, architecture, etc. + Description sql.NullString `db:"description" json:"description"` // Detailed description + Signature JSONStringArray `db:"signature" json:"signature"` // Keyword clusters for detection + Recommendation sql.NullString `db:"recommendation" json:"recommendation"` // What works for this pattern + Frequency int `db:"frequency" json:"frequency"` // How many times encountered + Projects JSONStringArray `db:"projects" json:"projects"` // Projects where this pattern was seen + ObservationIDs JSONInt64Array `db:"observation_ids" json:"observation_ids"` // Source observation IDs + Status PatternStatus `db:"status" json:"status"` // active, deprecated, merged + MergedIntoID sql.NullInt64 `db:"merged_into_id" json:"merged_into_id,omitempty"` + Confidence float64 `db:"confidence" json:"confidence"` // Detection confidence (0.0-1.0) + LastSeenAt string `db:"last_seen_at" json:"last_seen_at"` // Last time pattern was detected + LastSeenEpoch int64 `db:"last_seen_at_epoch" json:"last_seen_at_epoch"` + CreatedAt string `db:"created_at" json:"created_at"` + CreatedAtEpoch int64 `db:"created_at_epoch" json:"created_at_epoch"` +} + +// JSONInt64Array is a custom type for handling JSON int64 arrays in SQLite. +type JSONInt64Array []int64 + +// Scan implements sql.Scanner for JSONInt64Array. +func (j *JSONInt64Array) Scan(src interface{}) error { + if src == nil { + *j = nil + return nil + } + + var data []byte + switch v := src.(type) { + case string: + data = []byte(v) + case []byte: + data = v + default: + return nil + } + + if len(data) == 0 { + *j = nil + return nil + } + + return json.Unmarshal(data, j) +} + +// Value implements driver.Valuer for JSONInt64Array. +func (j JSONInt64Array) Value() (driver.Value, error) { + if j == nil { + return nil, nil + } + return json.Marshal(j) +} + +// PatternJSON is a JSON-friendly representation of Pattern. +type PatternJSON struct { + ID int64 `json:"id"` + Name string `json:"name"` + Type PatternType `json:"type"` + Description string `json:"description,omitempty"` + Signature []string `json:"signature,omitempty"` + Recommendation string `json:"recommendation,omitempty"` + Frequency int `json:"frequency"` + Projects []string `json:"projects,omitempty"` + ObservationIDs []int64 `json:"observation_ids,omitempty"` + Status PatternStatus `json:"status"` + MergedIntoID int64 `json:"merged_into_id,omitempty"` + Confidence float64 `json:"confidence"` + LastSeenAt string `json:"last_seen_at"` + LastSeenEpoch int64 `json:"last_seen_at_epoch"` + CreatedAt string `json:"created_at"` + CreatedAtEpoch int64 `json:"created_at_epoch"` +} + +// MarshalJSON implements json.Marshaler for Pattern. +func (p *Pattern) MarshalJSON() ([]byte, error) { + j := PatternJSON{ + ID: p.ID, + Name: p.Name, + Type: p.Type, + Signature: p.Signature, + Frequency: p.Frequency, + Projects: p.Projects, + ObservationIDs: p.ObservationIDs, + Status: p.Status, + Confidence: p.Confidence, + LastSeenAt: p.LastSeenAt, + LastSeenEpoch: p.LastSeenEpoch, + CreatedAt: p.CreatedAt, + CreatedAtEpoch: p.CreatedAtEpoch, + } + if p.Description.Valid { + j.Description = p.Description.String + } + if p.Recommendation.Valid { + j.Recommendation = p.Recommendation.String + } + if p.MergedIntoID.Valid { + j.MergedIntoID = p.MergedIntoID.Int64 + } + return json.Marshal(j) +} + +// NewPattern creates a new pattern from detected data. +func NewPattern(name string, patternType PatternType, description string, signature []string, project string, observationID int64) *Pattern { + now := time.Now() + return &Pattern{ + Name: name, + Type: patternType, + Description: sql.NullString{String: description, Valid: description != ""}, + Signature: signature, + Frequency: 1, + Projects: []string{project}, + ObservationIDs: []int64{observationID}, + Status: PatternStatusActive, + Confidence: 0.5, // Initial confidence + LastSeenAt: now.Format(time.RFC3339), + LastSeenEpoch: now.UnixMilli(), + CreatedAt: now.Format(time.RFC3339), + CreatedAtEpoch: now.UnixMilli(), + } +} + +// AddOccurrence records a new occurrence of this pattern. +func (p *Pattern) AddOccurrence(project string, observationID int64) { + p.Frequency++ + + // Add project if not already tracked + found := false + for _, proj := range p.Projects { + if proj == project { + found = true + break + } + } + if !found { + p.Projects = append(p.Projects, project) + } + + // Add observation ID if not already tracked + for _, id := range p.ObservationIDs { + if id == observationID { + return + } + } + p.ObservationIDs = append(p.ObservationIDs, observationID) + + // Update confidence based on frequency and cross-project occurrence + p.updateConfidence() + + // Update last seen timestamp + now := time.Now() + p.LastSeenAt = now.Format(time.RFC3339) + p.LastSeenEpoch = now.UnixMilli() +} + +// updateConfidence adjusts confidence based on frequency and cross-project validation. +func (p *Pattern) updateConfidence() { + // Base confidence from frequency (logarithmic scaling) + freqConfidence := 0.3 + (0.4 * (float64(min(p.Frequency, 10)) / 10.0)) + + // Cross-project bonus: patterns seen across multiple projects are more reliable + projectBonus := 0.0 + if len(p.Projects) >= 2 { + projectBonus = 0.1 + } + if len(p.Projects) >= 5 { + projectBonus = 0.2 + } + + p.Confidence = min(1.0, freqConfidence+projectBonus) +} + +// PatternMatch represents a match between an observation and a potential pattern. +type PatternMatch struct { + PatternID int64 `json:"pattern_id"` + Score float64 `json:"score"` // Match score (0.0-1.0) + MatchedOn string `json:"matched_on"` // What triggered the match (concept, keyword, type, etc.) + IsNew bool `json:"is_new"` // Whether this would create a new pattern + SuggestedName string `json:"suggested_name,omitempty"` +} + +// PatternSignatureKeywords are common keywords used in pattern detection. +var PatternSignatureKeywords = map[PatternType][]string{ + PatternTypeBug: { + "nil", "null", "undefined", "panic", "crash", "error handling", + "race condition", "deadlock", "memory leak", "overflow", + "off-by-one", "boundary", "timeout", "concurrency", + }, + PatternTypeRefactor: { + "extract", "inline", "rename", "move", "split", "merge", + "interface", "abstraction", "decouple", "simplify", + "consolidate", "modularize", "encapsulate", + }, + PatternTypeArchitecture: { + "layer", "service", "repository", "controller", "handler", + "middleware", "dependency injection", "factory", "singleton", + "observer", "strategy", "adapter", "facade", "builder", + }, + PatternTypeAntiPattern: { + "god class", "spaghetti", "copy paste", "magic number", + "hardcoded", "circular dependency", "premature optimization", + "over-engineering", "feature envy", "data clump", + }, + PatternTypeBestPractice: { + "test", "validation", "logging", "monitoring", "documentation", + "error handling", "retry", "timeout", "circuit breaker", + "graceful shutdown", "health check", "metrics", + }, +} + +// DetectPatternType analyzes concepts and content to determine pattern type. +func DetectPatternType(concepts []string, title, narrative string) PatternType { + // Check concepts first + for _, concept := range concepts { + switch concept { + case "anti-pattern": + return PatternTypeAntiPattern + case "best-practice": + return PatternTypeBestPractice + case "architecture": + return PatternTypeArchitecture + case "refactor": + return PatternTypeRefactor + } + } + + // Check for bug-related patterns in content + content := title + " " + narrative + for _, keyword := range PatternSignatureKeywords[PatternTypeBug] { + if containsIgnoreCase(content, keyword) { + return PatternTypeBug + } + } + + // Default to refactor for other patterns + return PatternTypeRefactor +} + +// containsIgnoreCase checks if text contains substr (case-insensitive). +func containsIgnoreCase(text, substr string) bool { + textLower := toLower(text) + substrLower := toLower(substr) + return contains(textLower, substrLower) +} + +// Simple implementations to avoid strings package dependency in this file +func toLower(s string) string { + b := make([]byte, len(s)) + for i := 0; i < len(s); i++ { + c := s[i] + if 'A' <= c && c <= 'Z' { + c += 'a' - 'A' + } + b[i] = c + } + return string(b) +} + +func contains(s, substr string) bool { + if len(substr) > len(s) { + return false + } + for i := 0; i <= len(s)-len(substr); i++ { + if s[i:i+len(substr)] == substr { + return true + } + } + return false +} + +// ExtractSignature creates a signature from observation content. +func ExtractSignature(concepts []string, title, narrative string) []string { + var signature []string + + // Add all concepts + signature = append(signature, concepts...) + + // Extract key terms from title (simple word extraction) + for _, word := range splitWords(title) { + if len(word) > 3 && isSignificantWord(word) { + signature = append(signature, toLower(word)) + } + } + + return uniqueStrings(signature) +} + +// splitWords is a simple word splitter. +func splitWords(s string) []string { + var words []string + word := "" + for _, r := range s { + if r == ' ' || r == '-' || r == '_' || r == '.' || r == ',' { + if word != "" { + words = append(words, word) + word = "" + } + } else { + word += string(r) + } + } + if word != "" { + words = append(words, word) + } + return words +} + +// isSignificantWord filters out common stop words. +func isSignificantWord(word string) bool { + stopWords := map[string]bool{ + "the": true, "and": true, "for": true, "with": true, "that": true, + "this": true, "from": true, "have": true, "not": true, "are": true, + "was": true, "but": true, "all": true, "can": true, "had": true, + "were": true, "been": true, "will": true, "when": true, "what": true, + } + return !stopWords[toLower(word)] +} + +// uniqueStrings returns a slice with duplicate strings removed. +func uniqueStrings(s []string) []string { + seen := make(map[string]bool) + var result []string + for _, v := range s { + if !seen[v] { + seen[v] = true + result = append(result, v) + } + } + return result +} + +// CalculateMatchScore computes similarity between two signatures. +func CalculateMatchScore(sig1, sig2 []string) float64 { + if len(sig1) == 0 || len(sig2) == 0 { + return 0.0 + } + + set1 := make(map[string]bool) + for _, s := range sig1 { + set1[toLower(s)] = true + } + + matches := 0 + for _, s := range sig2 { + if set1[toLower(s)] { + matches++ + } + } + + // Jaccard similarity + unionSize := len(sig1) + len(sig2) - matches + if unionSize == 0 { + return 0.0 + } + return float64(matches) / float64(unionSize) +} diff --git a/pkg/models/pattern_test.go b/pkg/models/pattern_test.go new file mode 100644 index 0000000..2614f07 --- /dev/null +++ b/pkg/models/pattern_test.go @@ -0,0 +1,357 @@ +package models + +import ( + "database/sql" + "encoding/json" + "testing" + "time" +) + +func TestNewPattern(t *testing.T) { + pattern := NewPattern( + "Test Pattern", + PatternTypeBug, + "A test pattern description", + []string{"nil", "error", "handling"}, + "test-project", + 123, + ) + + if pattern.Name != "Test Pattern" { + t.Errorf("Expected name 'Test Pattern', got '%s'", pattern.Name) + } + if pattern.Type != PatternTypeBug { + t.Errorf("Expected type PatternTypeBug, got '%s'", pattern.Type) + } + if !pattern.Description.Valid || pattern.Description.String != "A test pattern description" { + t.Errorf("Description not set correctly") + } + if len(pattern.Signature) != 3 { + t.Errorf("Expected 3 signature elements, got %d", len(pattern.Signature)) + } + if pattern.Frequency != 1 { + t.Errorf("Expected frequency 1, got %d", pattern.Frequency) + } + if len(pattern.Projects) != 1 || pattern.Projects[0] != "test-project" { + t.Errorf("Projects not set correctly") + } + if len(pattern.ObservationIDs) != 1 || pattern.ObservationIDs[0] != 123 { + t.Errorf("ObservationIDs not set correctly") + } + if pattern.Status != PatternStatusActive { + t.Errorf("Expected status Active, got '%s'", pattern.Status) + } + if pattern.Confidence != 0.5 { + t.Errorf("Expected initial confidence 0.5, got %f", pattern.Confidence) + } +} + +func TestPattern_AddOccurrence(t *testing.T) { + pattern := NewPattern("Test", PatternTypeBug, "desc", []string{"test"}, "project1", 1) + + // Add same project occurrence + pattern.AddOccurrence("project1", 2) + if pattern.Frequency != 2 { + t.Errorf("Expected frequency 2, got %d", pattern.Frequency) + } + if len(pattern.Projects) != 1 { + t.Errorf("Expected 1 project (no duplicates), got %d", len(pattern.Projects)) + } + + // Add different project occurrence + pattern.AddOccurrence("project2", 3) + if pattern.Frequency != 3 { + t.Errorf("Expected frequency 3, got %d", pattern.Frequency) + } + if len(pattern.Projects) != 2 { + t.Errorf("Expected 2 projects, got %d", len(pattern.Projects)) + } + + // Add duplicate observation ID - should not duplicate + pattern.AddOccurrence("project2", 3) + if len(pattern.ObservationIDs) != 3 { + t.Errorf("Expected 3 observation IDs (no duplicate), got %d", len(pattern.ObservationIDs)) + } + + // Check confidence increased + if pattern.Confidence <= 0.5 { + t.Errorf("Expected confidence to increase above 0.5, got %f", pattern.Confidence) + } +} + +func TestPattern_ConfidenceCalculation(t *testing.T) { + tests := []struct { + name string + frequency int + projectCount int + minConfidence float64 + maxConfidence float64 + }{ + {"low_frequency", 2, 1, 0.3, 0.5}, + {"high_frequency", 10, 1, 0.6, 0.8}, + {"multi_project", 3, 3, 0.4, 0.7}, + {"high_freq_multi_proj", 10, 5, 0.7, 1.0}, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + pattern := NewPattern("Test", PatternTypeBug, "", []string{}, "proj1", 1) + + // Simulate occurrences + for i := 1; i < tt.frequency; i++ { + projIdx := i % tt.projectCount + if projIdx == 0 { + projIdx = 1 + } + pattern.AddOccurrence("proj"+string(rune('0'+projIdx)), int64(i+1)) + } + + if pattern.Confidence < tt.minConfidence || pattern.Confidence > tt.maxConfidence { + t.Errorf("Expected confidence between %f and %f, got %f", + tt.minConfidence, tt.maxConfidence, pattern.Confidence) + } + }) + } +} + +func TestPatternType_Detection(t *testing.T) { + tests := []struct { + concepts []string + title string + narrative string + expected PatternType + }{ + {[]string{"anti-pattern"}, "", "", PatternTypeAntiPattern}, + {[]string{"best-practice"}, "", "", PatternTypeBestPractice}, + {[]string{"architecture"}, "", "", PatternTypeArchitecture}, + {[]string{"refactor"}, "", "", PatternTypeRefactor}, + {[]string{}, "nil pointer bug", "", PatternTypeBug}, + {[]string{}, "Deadlock in concurrent code", "", PatternTypeBug}, + {[]string{}, "Extract interface", "", PatternTypeRefactor}, + } + + for _, tt := range tests { + t.Run(tt.title+"_"+tt.expected.String(), func(t *testing.T) { + result := DetectPatternType(tt.concepts, tt.title, tt.narrative) + if result != tt.expected { + t.Errorf("Expected %s, got %s", tt.expected, result) + } + }) + } +} + +func (pt PatternType) String() string { + return string(pt) +} + +func TestExtractSignature(t *testing.T) { + concepts := []string{"error-handling", "security"} + title := "Nil Pointer Validation Pattern" + narrative := "Always validate before dereferencing" + + signature := ExtractSignature(concepts, title, narrative) + + // Should contain concepts + found := false + for _, s := range signature { + if s == "error-handling" { + found = true + break + } + } + if !found { + t.Errorf("Expected signature to contain concepts, got %v", signature) + } + + // Should contain significant words from title + found = false + for _, s := range signature { + if s == "validation" || s == "pattern" || s == "pointer" { + found = true + break + } + } + if !found { + t.Errorf("Expected signature to contain title keywords, got %v", signature) + } +} + +func TestCalculateMatchScore(t *testing.T) { + tests := []struct { + name string + sig1 []string + sig2 []string + minScore float64 + maxScore float64 + }{ + {"identical", []string{"a", "b", "c"}, []string{"a", "b", "c"}, 1.0, 1.0}, + {"partial", []string{"a", "b", "c"}, []string{"a", "b", "d"}, 0.4, 0.6}, + {"no_match", []string{"a", "b", "c"}, []string{"x", "y", "z"}, 0.0, 0.0}, + {"empty", []string{}, []string{"a", "b"}, 0.0, 0.0}, + {"subset", []string{"a", "b"}, []string{"a", "b", "c", "d"}, 0.4, 0.6}, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + score := CalculateMatchScore(tt.sig1, tt.sig2) + if score < tt.minScore || score > tt.maxScore { + t.Errorf("Expected score between %f and %f, got %f", + tt.minScore, tt.maxScore, score) + } + }) + } +} + +func TestPattern_MarshalJSON(t *testing.T) { + pattern := &Pattern{ + ID: 1, + Name: "Test Pattern", + Type: PatternTypeBug, + Description: sql.NullString{String: "A description", Valid: true}, + Signature: []string{"a", "b"}, + Recommendation: sql.NullString{String: "Do this", Valid: true}, + Frequency: 5, + Projects: []string{"proj1", "proj2"}, + ObservationIDs: []int64{1, 2, 3}, + Status: PatternStatusActive, + MergedIntoID: sql.NullInt64{Int64: 0, Valid: false}, + Confidence: 0.8, + LastSeenAt: time.Now().Format(time.RFC3339), + LastSeenEpoch: time.Now().UnixMilli(), + CreatedAt: time.Now().Format(time.RFC3339), + CreatedAtEpoch: time.Now().UnixMilli(), + } + + data, err := json.Marshal(pattern) + if err != nil { + t.Fatalf("Failed to marshal pattern: %v", err) + } + + var result PatternJSON + if err := json.Unmarshal(data, &result); err != nil { + t.Fatalf("Failed to unmarshal pattern: %v", err) + } + + if result.Name != pattern.Name { + t.Errorf("Expected name %s, got %s", pattern.Name, result.Name) + } + if result.Description != pattern.Description.String { + t.Errorf("Expected description %s, got %s", pattern.Description.String, result.Description) + } + if result.Frequency != pattern.Frequency { + t.Errorf("Expected frequency %d, got %d", pattern.Frequency, result.Frequency) + } + if result.MergedIntoID != 0 { + t.Errorf("Expected merged_into_id 0 for invalid NullInt64, got %d", result.MergedIntoID) + } +} + +func TestJSONInt64Array_Scan(t *testing.T) { + tests := []struct { + name string + input interface{} + expected JSONInt64Array + wantErr bool + }{ + {"string_array", "[1, 2, 3]", JSONInt64Array{1, 2, 3}, false}, + {"bytes_array", []byte("[4, 5, 6]"), JSONInt64Array{4, 5, 6}, false}, + {"nil", nil, nil, false}, + {"empty_string", "", nil, false}, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + var arr JSONInt64Array + err := arr.Scan(tt.input) + if (err != nil) != tt.wantErr { + t.Errorf("Scan() error = %v, wantErr %v", err, tt.wantErr) + return + } + if len(arr) != len(tt.expected) { + t.Errorf("Expected length %d, got %d", len(tt.expected), len(arr)) + } + }) + } +} + +func TestJSONInt64Array_Value(t *testing.T) { + arr := JSONInt64Array{1, 2, 3} + val, err := arr.Value() + if err != nil { + t.Fatalf("Value() error = %v", err) + } + + bytes, ok := val.([]byte) + if !ok { + t.Fatalf("Expected []byte, got %T", val) + } + + var result []int64 + if err := json.Unmarshal(bytes, &result); err != nil { + t.Fatalf("Failed to unmarshal: %v", err) + } + + if len(result) != 3 || result[0] != 1 || result[1] != 2 || result[2] != 3 { + t.Errorf("Expected [1, 2, 3], got %v", result) + } +} + +func TestPatternSignatureKeywords(t *testing.T) { + // Verify keywords exist for each type + types := []PatternType{ + PatternTypeBug, + PatternTypeRefactor, + PatternTypeArchitecture, + PatternTypeAntiPattern, + PatternTypeBestPractice, + } + + for _, pt := range types { + keywords := PatternSignatureKeywords[pt] + if len(keywords) == 0 { + t.Errorf("No keywords defined for pattern type %s", pt) + } + } +} + +func TestUniqueStrings(t *testing.T) { + tests := []struct { + input []string + expected int + }{ + {[]string{"a", "b", "c"}, 3}, + {[]string{"a", "a", "b"}, 2}, + {[]string{"a", "a", "a"}, 1}, + {[]string{}, 0}, + } + + for _, tt := range tests { + result := uniqueStrings(tt.input) + if len(result) != tt.expected { + t.Errorf("uniqueStrings(%v) = %v (len=%d), expected len=%d", + tt.input, result, len(result), tt.expected) + } + } +} + +func TestContainsIgnoreCase(t *testing.T) { + tests := []struct { + text string + substr string + expected bool + }{ + {"Hello World", "hello", true}, + {"Hello World", "WORLD", true}, + {"Hello World", "xyz", false}, + {"", "a", false}, + {"a", "", true}, + } + + for _, tt := range tests { + result := containsIgnoreCase(tt.text, tt.substr) + if result != tt.expected { + t.Errorf("containsIgnoreCase(%q, %q) = %v, expected %v", + tt.text, tt.substr, result, tt.expected) + } + } +} diff --git a/pkg/models/relation.go b/pkg/models/relation.go new file mode 100644 index 0000000..a2cadc5 --- /dev/null +++ b/pkg/models/relation.go @@ -0,0 +1,489 @@ +// Package models contains domain models for claude-mnemonic. +package models + +import ( + "strings" + "time" +) + +// RelationType represents the type of relationship between observations. +type RelationType string + +const ( + // RelationCauses means source observation caused target observation. + // Example: "This architectural decision caused this bug" + RelationCauses RelationType = "causes" + // RelationFixes means source observation fixes target observation. + // Example: "This bugfix addresses that discovered issue" + RelationFixes RelationType = "fixes" + // RelationSupersedes means source observation supersedes target observation. + // Example: "This new approach replaces the old workaround" + RelationSupersedes RelationType = "supersedes" + // RelationDependsOn means source observation depends on target observation. + // Example: "This feature relies on that architectural decision" + RelationDependsOn RelationType = "depends_on" + // RelationRelatesTo means observations are related but no causal relationship. + // Example: "Both deal with authentication" + RelationRelatesTo RelationType = "relates_to" + // RelationEvolvesFrom means source observation evolved from target observation. + // Example: "This refined pattern evolved from that initial discovery" + RelationEvolvesFrom RelationType = "evolves_from" +) + +// AllRelationTypes is the list of all valid relation types. +var AllRelationTypes = []RelationType{ + RelationCauses, + RelationFixes, + RelationSupersedes, + RelationDependsOn, + RelationRelatesTo, + RelationEvolvesFrom, +} + +// RelationDetectionSource indicates how a relationship was detected. +type RelationDetectionSource string + +const ( + // DetectionSourceFileOverlap means relationship was detected via shared file references. + DetectionSourceFileOverlap RelationDetectionSource = "file_overlap" + // DetectionSourceEmbeddingSimilarity means relationship was detected via vector similarity. + DetectionSourceEmbeddingSimilarity RelationDetectionSource = "embedding_similarity" + // DetectionSourceTemporalProximity means relationship was detected via close timestamps. + DetectionSourceTemporalProximity RelationDetectionSource = "temporal_proximity" + // DetectionSourceNarrativeMention means relationship was detected via explicit mentions. + DetectionSourceNarrativeMention RelationDetectionSource = "narrative_mention" + // DetectionSourceConceptOverlap means relationship was detected via shared concepts. + DetectionSourceConceptOverlap RelationDetectionSource = "concept_overlap" + // DetectionSourceTypeProgression means relationship was detected via type progression pattern. + DetectionSourceTypeProgression RelationDetectionSource = "type_progression" +) + +// ObservationRelation represents a directed relationship between two observations. +type ObservationRelation struct { + ID int64 `db:"id" json:"id"` + SourceID int64 `db:"source_id" json:"source_id"` + TargetID int64 `db:"target_id" json:"target_id"` + RelationType RelationType `db:"relation_type" json:"relation_type"` + Confidence float64 `db:"confidence" json:"confidence"` + DetectionSource RelationDetectionSource `db:"detection_source" json:"detection_source"` + Reason string `db:"reason" json:"reason,omitempty"` + CreatedAt string `db:"created_at" json:"created_at"` + CreatedAtEpoch int64 `db:"created_at_epoch" json:"created_at_epoch"` +} + +// NewObservationRelation creates a new observation relation. +func NewObservationRelation(sourceID, targetID int64, relType RelationType, confidence float64, source RelationDetectionSource, reason string) *ObservationRelation { + now := time.Now() + return &ObservationRelation{ + SourceID: sourceID, + TargetID: targetID, + RelationType: relType, + Confidence: confidence, + DetectionSource: source, + Reason: reason, + CreatedAt: now.Format(time.RFC3339), + CreatedAtEpoch: now.UnixMilli(), + } +} + +// RelationDetectionResult contains the result of relation detection. +type RelationDetectionResult struct { + SourceID int64 + TargetID int64 + RelationType RelationType + Confidence float64 + DetectionSource RelationDetectionSource + Reason string +} + +// DetectFileOverlapRelation checks if observations share file references and determines relationship type. +func DetectFileOverlapRelation(newer, older *Observation) *RelationDetectionResult { + // Check for overlapping modified files + newerModified := make(map[string]bool) + for _, f := range newer.FilesModified { + newerModified[f] = true + } + + olderModified := make(map[string]bool) + for _, f := range older.FilesModified { + olderModified[f] = true + } + + // Files modified by both + var sharedModified []string + for f := range newerModified { + if olderModified[f] { + sharedModified = append(sharedModified, f) + } + } + + // Files that newer reads which older modified + var newerReadsOlderModified []string + for _, f := range newer.FilesRead { + if olderModified[f] { + newerReadsOlderModified = append(newerReadsOlderModified, f) + } + } + + // Calculate overlap score + overlap := len(sharedModified) + len(newerReadsOlderModified) + if overlap == 0 { + return nil + } + + // Determine relationship type based on observation types and file overlap + relType := RelationRelatesTo + confidence := 0.5 + float64(overlap)*0.1 // Base 0.5, +0.1 per overlapping file + + // Type-based relationship inference + switch { + case newer.Type == ObsTypeBugfix && (older.Type == ObsTypeDecision || older.Type == ObsTypeFeature): + relType = RelationFixes + confidence += 0.2 + case newer.Type == ObsTypeRefactor && older.Type == ObsTypeDiscovery: + relType = RelationEvolvesFrom + confidence += 0.15 + case newer.Type == older.Type && len(sharedModified) > 0: + relType = RelationSupersedes + confidence += 0.1 + case newer.Type == ObsTypeFeature && older.Type == ObsTypeDecision: + relType = RelationDependsOn + confidence += 0.15 + } + + if confidence > 1.0 { + confidence = 1.0 + } + + reason := buildFileOverlapReason(sharedModified, newerReadsOlderModified) + + return &RelationDetectionResult{ + SourceID: newer.ID, + TargetID: older.ID, + RelationType: relType, + Confidence: confidence, + DetectionSource: DetectionSourceFileOverlap, + Reason: reason, + } +} + +// buildFileOverlapReason creates a human-readable reason for file overlap relation. +func buildFileOverlapReason(shared, readsModified []string) string { + parts := []string{} + if len(shared) > 0 { + parts = append(parts, "both modified: "+strings.Join(truncateList(shared, 3), ", ")) + } + if len(readsModified) > 0 { + parts = append(parts, "reads files modified by older: "+strings.Join(truncateList(readsModified, 3), ", ")) + } + return strings.Join(parts, "; ") +} + +// DetectConceptOverlapRelation checks if observations share concepts. +func DetectConceptOverlapRelation(newer, older *Observation) *RelationDetectionResult { + newerConcepts := make(map[string]bool) + for _, c := range newer.Concepts { + newerConcepts[c] = true + } + + var shared []string + for _, c := range older.Concepts { + if newerConcepts[c] { + shared = append(shared, c) + } + } + + if len(shared) == 0 { + return nil + } + + // Calculate confidence based on overlap ratio + totalUniqueConcepts := len(newerConcepts) + for _, c := range older.Concepts { + if !newerConcepts[c] { + totalUniqueConcepts++ + } + } + + overlapRatio := float64(len(shared)) / float64(totalUniqueConcepts) + confidence := 0.3 + overlapRatio*0.5 // Base 0.3, scale with overlap + + // Boost for important concepts + for _, c := range shared { + if isHighValueConcept(c) { + confidence += 0.1 + } + } + if confidence > 1.0 { + confidence = 1.0 + } + + return &RelationDetectionResult{ + SourceID: newer.ID, + TargetID: older.ID, + RelationType: RelationRelatesTo, + Confidence: confidence, + DetectionSource: DetectionSourceConceptOverlap, + Reason: "shared concepts: " + strings.Join(truncateList(shared, 5), ", "), + } +} + +// isHighValueConcept returns true for concepts that strongly indicate relationships. +func isHighValueConcept(concept string) bool { + highValue := map[string]bool{ + "security": true, + "architecture": true, + "gotcha": true, + "anti-pattern": true, + "best-practice": true, + "error-handling": true, + } + return highValue[concept] +} + +// DetectTypeProgressionRelation checks for natural type progressions. +// Example: discovery -> decision -> feature -> bugfix +func DetectTypeProgressionRelation(newer, older *Observation) *RelationDetectionResult { + // Define natural type progressions + progressions := map[ObservationType][]ObservationType{ + ObsTypeBugfix: {ObsTypeDiscovery, ObsTypeFeature, ObsTypeDecision}, + ObsTypeFeature: {ObsTypeDiscovery, ObsTypeDecision}, + ObsTypeRefactor: {ObsTypeDiscovery, ObsTypeFeature, ObsTypeBugfix}, + ObsTypeDecision: {ObsTypeDiscovery}, + ObsTypeChange: {ObsTypeDiscovery, ObsTypeDecision}, + } + + validPredecessors, ok := progressions[newer.Type] + if !ok { + return nil + } + + isValidProgression := false + for _, pred := range validPredecessors { + if older.Type == pred { + isValidProgression = true + break + } + } + + if !isValidProgression { + return nil + } + + // Determine relationship type based on progression + var relType RelationType + var confidence float64 = 0.4 + + switch { + case newer.Type == ObsTypeBugfix && older.Type == ObsTypeDiscovery: + relType = RelationFixes + confidence = 0.6 + case newer.Type == ObsTypeBugfix && older.Type == ObsTypeFeature: + relType = RelationFixes + confidence = 0.5 + case newer.Type == ObsTypeFeature && older.Type == ObsTypeDecision: + relType = RelationDependsOn + confidence = 0.6 + case newer.Type == ObsTypeRefactor: + relType = RelationEvolvesFrom + confidence = 0.5 + default: + relType = RelationRelatesTo + } + + return &RelationDetectionResult{ + SourceID: newer.ID, + TargetID: older.ID, + RelationType: relType, + Confidence: confidence, + DetectionSource: DetectionSourceTypeProgression, + Reason: string(older.Type) + " -> " + string(newer.Type) + " progression", + } +} + +// DetectTemporalProximityRelation checks if observations are temporally close (same session). +func DetectTemporalProximityRelation(newer, older *Observation) *RelationDetectionResult { + // Only relate observations from the same session + if newer.SDKSessionID != older.SDKSessionID { + return nil + } + + // Check temporal proximity (within 5 minutes) + timeDiffMs := newer.CreatedAtEpoch - older.CreatedAtEpoch + if timeDiffMs < 0 { + timeDiffMs = -timeDiffMs + } + + fiveMinutesMs := int64(5 * 60 * 1000) + if timeDiffMs > fiveMinutesMs { + return nil + } + + // Calculate confidence based on temporal proximity + // Closer = higher confidence + proximityRatio := 1.0 - (float64(timeDiffMs) / float64(fiveMinutesMs)) + confidence := 0.3 + proximityRatio*0.4 + + return &RelationDetectionResult{ + SourceID: newer.ID, + TargetID: older.ID, + RelationType: RelationRelatesTo, + Confidence: confidence, + DetectionSource: DetectionSourceTemporalProximity, + Reason: "same session, close timestamps", + } +} + +// NarrativeMentionPatterns are patterns that indicate explicit relationships in narratives. +var NarrativeMentionPatterns = []struct { + Pattern string + RelationType RelationType + ConfBoost float64 +}{ + {" caused ", RelationCauses, 0.3}, + {" causes ", RelationCauses, 0.3}, + {" because of ", RelationCauses, 0.25}, + {" due to ", RelationCauses, 0.2}, + {" fixes ", RelationFixes, 0.3}, + {" fixed ", RelationFixes, 0.3}, + {" resolves ", RelationFixes, 0.3}, + {" addresses ", RelationFixes, 0.25}, + {" replaces ", RelationSupersedes, 0.3}, + {" supersedes ", RelationSupersedes, 0.35}, + {" instead of ", RelationSupersedes, 0.25}, + {" depends on ", RelationDependsOn, 0.3}, + {" requires ", RelationDependsOn, 0.25}, + {" builds on ", RelationDependsOn, 0.25}, + {" based on ", RelationDependsOn, 0.2}, + {" related to ", RelationRelatesTo, 0.2}, + {" similar to ", RelationRelatesTo, 0.2}, + {" evolved from ", RelationEvolvesFrom, 0.3}, + {" improved from ", RelationEvolvesFrom, 0.25}, + {" refined from ", RelationEvolvesFrom, 0.25}, +} + +// DetectNarrativeMentionRelation checks if newer observation's narrative mentions relationship. +func DetectNarrativeMentionRelation(newer, older *Observation) *RelationDetectionResult { + if !newer.Narrative.Valid || newer.Narrative.String == "" { + return nil + } + + narrative := strings.ToLower(newer.Narrative.String) + + // Check for patterns + for _, p := range NarrativeMentionPatterns { + if strings.Contains(narrative, p.Pattern) { + // Found a pattern - this is a potential relationship + confidence := 0.4 + p.ConfBoost + if confidence > 1.0 { + confidence = 1.0 + } + + return &RelationDetectionResult{ + SourceID: newer.ID, + TargetID: older.ID, + RelationType: p.RelationType, + Confidence: confidence, + DetectionSource: DetectionSourceNarrativeMention, + Reason: "narrative contains '" + strings.TrimSpace(p.Pattern) + "' language", + } + } + } + + return nil +} + +// DetectRelationsWithExisting checks a new observation against existing ones and returns detected relations. +// This is the main entry point for relation detection. +func DetectRelationsWithExisting(newer *Observation, existing []*Observation, minConfidence float64) []*RelationDetectionResult { + var results []*RelationDetectionResult + seen := make(map[int64]bool) + + for _, older := range existing { + // Skip self + if older.ID == newer.ID { + continue + } + + // Skip if already superseded + if older.IsSuperseded { + continue + } + + // Only compare within same project (or both global) + if newer.Project != older.Project && newer.Scope != ScopeGlobal && older.Scope != ScopeGlobal { + continue + } + + // Run all detection methods and keep highest confidence result per target + var bestResult *RelationDetectionResult + + // 1. File overlap detection + if result := DetectFileOverlapRelation(newer, older); result != nil && result.Confidence >= minConfidence { + if bestResult == nil || result.Confidence > bestResult.Confidence { + bestResult = result + } + } + + // 2. Concept overlap detection + if result := DetectConceptOverlapRelation(newer, older); result != nil && result.Confidence >= minConfidence { + if bestResult == nil || result.Confidence > bestResult.Confidence { + bestResult = result + } + } + + // 3. Type progression detection + if result := DetectTypeProgressionRelation(newer, older); result != nil && result.Confidence >= minConfidence { + if bestResult == nil || result.Confidence > bestResult.Confidence { + bestResult = result + } + } + + // 4. Temporal proximity detection + if result := DetectTemporalProximityRelation(newer, older); result != nil && result.Confidence >= minConfidence { + // Only use temporal proximity if no better detection found + if bestResult == nil { + bestResult = result + } + } + + // 5. Narrative mention detection (can upgrade relation type) + if result := DetectNarrativeMentionRelation(newer, older); result != nil && result.Confidence >= minConfidence { + if bestResult == nil || result.Confidence > bestResult.Confidence { + bestResult = result + } + } + + // Add best result if found and not already seen + if bestResult != nil && !seen[older.ID] { + results = append(results, bestResult) + seen[older.ID] = true + } + } + + return results +} + +// truncateList truncates a list to maxLen items. +func truncateList(items []string, maxLen int) []string { + if len(items) <= maxLen { + return items + } + result := items[:maxLen] + return append(result, "...") +} + +// RelationWithDetails contains a relation with its observation details. +type RelationWithDetails struct { + Relation *ObservationRelation `json:"relation"` + SourceTitle string `json:"source_title"` + TargetTitle string `json:"target_title"` + SourceType ObservationType `json:"source_type"` + TargetType ObservationType `json:"target_type"` +} + +// RelationGraph represents a graph of related observations. +type RelationGraph struct { + CenterID int64 `json:"center_id"` + Relations []*RelationWithDetails `json:"relations"` +} diff --git a/pkg/models/relation_test.go b/pkg/models/relation_test.go new file mode 100644 index 0000000..519973f --- /dev/null +++ b/pkg/models/relation_test.go @@ -0,0 +1,473 @@ +// Package models contains domain models for claude-mnemonic. +package models + +import ( + "database/sql" + "testing" +) + +func TestDetectFileOverlapRelation(t *testing.T) { + tests := []struct { + name string + newer *Observation + older *Observation + wantRelation bool + wantRelType RelationType + wantMinConfid float64 + }{ + { + name: "no file overlap", + newer: &Observation{ + ID: 1, + FilesModified: []string{"file1.go", "file2.go"}, + }, + older: &Observation{ + ID: 2, + FilesModified: []string{"file3.go", "file4.go"}, + }, + wantRelation: false, + }, + { + name: "shared modified files", + newer: &Observation{ + ID: 1, + Type: ObsTypeRefactor, + FilesModified: []string{"shared.go", "file2.go"}, + }, + older: &Observation{ + ID: 2, + Type: ObsTypeRefactor, + FilesModified: []string{"shared.go", "file4.go"}, + }, + wantRelation: true, + wantRelType: RelationSupersedes, + wantMinConfid: 0.5, + }, + { + name: "bugfix on feature file", + newer: &Observation{ + ID: 1, + Type: ObsTypeBugfix, + FilesModified: []string{"feature.go"}, + }, + older: &Observation{ + ID: 2, + Type: ObsTypeFeature, + FilesModified: []string{"feature.go"}, + }, + wantRelation: true, + wantRelType: RelationFixes, + wantMinConfid: 0.6, + }, + { + name: "newer reads older modified", + newer: &Observation{ + ID: 1, + Type: ObsTypeChange, + FilesRead: []string{"dep.go"}, + FilesModified: []string{"caller.go"}, + }, + older: &Observation{ + ID: 2, + Type: ObsTypeDecision, + FilesModified: []string{"dep.go"}, + }, + wantRelation: true, + wantMinConfid: 0.5, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + result := DetectFileOverlapRelation(tt.newer, tt.older) + + if tt.wantRelation { + if result == nil { + t.Fatal("expected relation, got nil") + } + if tt.wantRelType != "" && result.RelationType != tt.wantRelType { + t.Errorf("relation type = %v, want %v", result.RelationType, tt.wantRelType) + } + if result.Confidence < tt.wantMinConfid { + t.Errorf("confidence = %v, want at least %v", result.Confidence, tt.wantMinConfid) + } + if result.DetectionSource != DetectionSourceFileOverlap { + t.Errorf("source = %v, want %v", result.DetectionSource, DetectionSourceFileOverlap) + } + } else { + if result != nil { + t.Errorf("expected no relation, got %+v", result) + } + } + }) + } +} + +func TestDetectConceptOverlapRelation(t *testing.T) { + tests := []struct { + name string + newer *Observation + older *Observation + wantRelation bool + wantMinConfid float64 + }{ + { + name: "no concept overlap", + newer: &Observation{ + ID: 1, + Concepts: []string{"auth", "api"}, + }, + older: &Observation{ + ID: 2, + Concepts: []string{"database", "caching"}, + }, + wantRelation: false, + }, + { + name: "shared concepts", + newer: &Observation{ + ID: 1, + Concepts: []string{"security", "auth"}, + }, + older: &Observation{ + ID: 2, + Concepts: []string{"security", "validation"}, + }, + wantRelation: true, + wantMinConfid: 0.4, // security is a high-value concept + }, + { + name: "multiple shared concepts", + newer: &Observation{ + ID: 1, + Concepts: []string{"auth", "api", "validation"}, + }, + older: &Observation{ + ID: 2, + Concepts: []string{"auth", "api", "database"}, + }, + wantRelation: true, + wantMinConfid: 0.5, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + result := DetectConceptOverlapRelation(tt.newer, tt.older) + + if tt.wantRelation { + if result == nil { + t.Fatal("expected relation, got nil") + } + if result.Confidence < tt.wantMinConfid { + t.Errorf("confidence = %v, want at least %v", result.Confidence, tt.wantMinConfid) + } + if result.DetectionSource != DetectionSourceConceptOverlap { + t.Errorf("source = %v, want %v", result.DetectionSource, DetectionSourceConceptOverlap) + } + } else { + if result != nil { + t.Errorf("expected no relation, got %+v", result) + } + } + }) + } +} + +func TestDetectTypeProgressionRelation(t *testing.T) { + tests := []struct { + name string + newerType ObservationType + olderType ObservationType + wantRelation bool + wantRelType RelationType + }{ + { + name: "bugfix fixes discovery", + newerType: ObsTypeBugfix, + olderType: ObsTypeDiscovery, + wantRelation: true, + wantRelType: RelationFixes, + }, + { + name: "bugfix fixes feature", + newerType: ObsTypeBugfix, + olderType: ObsTypeFeature, + wantRelation: true, + wantRelType: RelationFixes, + }, + { + name: "feature depends on decision", + newerType: ObsTypeFeature, + olderType: ObsTypeDecision, + wantRelation: true, + wantRelType: RelationDependsOn, + }, + { + name: "refactor evolves from discovery", + newerType: ObsTypeRefactor, + olderType: ObsTypeDiscovery, + wantRelation: true, + wantRelType: RelationEvolvesFrom, + }, + { + name: "no progression discovery to bugfix", + newerType: ObsTypeDiscovery, + olderType: ObsTypeBugfix, + wantRelation: false, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + newer := &Observation{ID: 1, Type: tt.newerType} + older := &Observation{ID: 2, Type: tt.olderType} + result := DetectTypeProgressionRelation(newer, older) + + if tt.wantRelation { + if result == nil { + t.Fatal("expected relation, got nil") + } + if result.RelationType != tt.wantRelType { + t.Errorf("relation type = %v, want %v", result.RelationType, tt.wantRelType) + } + if result.DetectionSource != DetectionSourceTypeProgression { + t.Errorf("source = %v, want %v", result.DetectionSource, DetectionSourceTypeProgression) + } + } else { + if result != nil { + t.Errorf("expected no relation, got %+v", result) + } + } + }) + } +} + +func TestDetectTemporalProximityRelation(t *testing.T) { + baseTime := int64(1700000000000) // some base epoch ms + + tests := []struct { + name string + newerSession string + olderSession string + newerTime int64 + olderTime int64 + wantRelation bool + }{ + { + name: "same session close time", + newerSession: "session-1", + olderSession: "session-1", + newerTime: baseTime + 60000, // 1 minute later + olderTime: baseTime, + wantRelation: true, + }, + { + name: "same session far apart", + newerSession: "session-1", + olderSession: "session-1", + newerTime: baseTime + 600000, // 10 minutes later + olderTime: baseTime, + wantRelation: false, // > 5 minutes + }, + { + name: "different sessions close time", + newerSession: "session-1", + olderSession: "session-2", + newerTime: baseTime + 30000, + olderTime: baseTime, + wantRelation: false, // different sessions + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + newer := &Observation{ + ID: 1, + SDKSessionID: tt.newerSession, + CreatedAtEpoch: tt.newerTime, + } + older := &Observation{ + ID: 2, + SDKSessionID: tt.olderSession, + CreatedAtEpoch: tt.olderTime, + } + result := DetectTemporalProximityRelation(newer, older) + + if tt.wantRelation { + if result == nil { + t.Fatal("expected relation, got nil") + } + if result.DetectionSource != DetectionSourceTemporalProximity { + t.Errorf("source = %v, want %v", result.DetectionSource, DetectionSourceTemporalProximity) + } + } else { + if result != nil { + t.Errorf("expected no relation, got %+v", result) + } + } + }) + } +} + +func TestDetectNarrativeMentionRelation(t *testing.T) { + tests := []struct { + name string + narrative string + wantRelation bool + wantRelType RelationType + }{ + { + name: "fixes language", + narrative: "This change fixes the issue with authentication", + wantRelation: true, + wantRelType: RelationFixes, + }, + { + name: "causes language", + narrative: "This decision caused unexpected side effects", + wantRelation: true, + wantRelType: RelationCauses, + }, + { + name: "supersedes language", + narrative: "This approach supersedes the previous workaround", + wantRelation: true, + wantRelType: RelationSupersedes, + }, + { + name: "depends on language", + narrative: "This feature depends on the authentication module", + wantRelation: true, + wantRelType: RelationDependsOn, + }, + { + name: "no relationship language", + narrative: "Added new feature for user management", + wantRelation: false, + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + newer := &Observation{ + ID: 1, + Narrative: sql.NullString{String: tt.narrative, Valid: true}, + } + older := &Observation{ID: 2} + result := DetectNarrativeMentionRelation(newer, older) + + if tt.wantRelation { + if result == nil { + t.Fatal("expected relation, got nil") + } + if result.RelationType != tt.wantRelType { + t.Errorf("relation type = %v, want %v", result.RelationType, tt.wantRelType) + } + if result.DetectionSource != DetectionSourceNarrativeMention { + t.Errorf("source = %v, want %v", result.DetectionSource, DetectionSourceNarrativeMention) + } + } else { + if result != nil { + t.Errorf("expected no relation, got %+v", result) + } + } + }) + } +} + +func TestDetectRelationsWithExisting(t *testing.T) { + newer := &Observation{ + ID: 1, + SDKSessionID: "session-1", + Project: "test-project", + Type: ObsTypeBugfix, + FilesModified: []string{"auth.go"}, + Concepts: []string{"security", "auth"}, + Narrative: sql.NullString{String: "Fixed security issue in auth module", Valid: true}, + } + + existing := []*Observation{ + { + ID: 2, + SDKSessionID: "session-1", + Project: "test-project", + Type: ObsTypeDiscovery, + FilesModified: []string{"auth.go"}, + Concepts: []string{"security"}, + }, + { + ID: 3, + SDKSessionID: "session-2", + Project: "test-project", + Type: ObsTypeFeature, + FilesModified: []string{"other.go"}, + Concepts: []string{"api"}, + }, + { + ID: 4, + SDKSessionID: "session-1", + Project: "other-project", // different project + Type: ObsTypeDiscovery, + }, + } + + results := DetectRelationsWithExisting(newer, existing, 0.4) + + // Should find relation with observation 2 (file overlap + concept overlap + type progression) + // Should not find relation with observation 3 (no overlap) + // Should not find relation with observation 4 (different project) + + if len(results) == 0 { + t.Fatal("expected at least one relation") + } + + // Check that we found relation with observation 2 + foundObs2 := false + for _, r := range results { + if r.TargetID == 2 { + foundObs2 = true + // Should be high confidence due to multiple signals + if r.Confidence < 0.5 { + t.Errorf("expected higher confidence for obs 2, got %v", r.Confidence) + } + } + // Should not find relation with obs 4 + if r.TargetID == 4 { + t.Error("should not find relation with different project") + } + } + + if !foundObs2 { + t.Error("expected to find relation with observation 2") + } +} + +func TestNewObservationRelation(t *testing.T) { + rel := NewObservationRelation(1, 2, RelationFixes, 0.8, DetectionSourceFileOverlap, "test reason") + + if rel.SourceID != 1 { + t.Errorf("SourceID = %v, want 1", rel.SourceID) + } + if rel.TargetID != 2 { + t.Errorf("TargetID = %v, want 2", rel.TargetID) + } + if rel.RelationType != RelationFixes { + t.Errorf("RelationType = %v, want %v", rel.RelationType, RelationFixes) + } + if rel.Confidence != 0.8 { + t.Errorf("Confidence = %v, want 0.8", rel.Confidence) + } + if rel.DetectionSource != DetectionSourceFileOverlap { + t.Errorf("DetectionSource = %v, want %v", rel.DetectionSource, DetectionSourceFileOverlap) + } + if rel.Reason != "test reason" { + t.Errorf("Reason = %v, want 'test reason'", rel.Reason) + } + if rel.CreatedAt == "" { + t.Error("CreatedAt should be set") + } + if rel.CreatedAtEpoch == 0 { + t.Error("CreatedAtEpoch should be set") + } +} diff --git a/pkg/models/scoring.go b/pkg/models/scoring.go new file mode 100644 index 0000000..28b9af2 --- /dev/null +++ b/pkg/models/scoring.go @@ -0,0 +1,112 @@ +// Package models contains domain models for claude-mnemonic. +package models + +// ConceptWeight represents a configurable weight for a concept. +type ConceptWeight struct { + Concept string `db:"concept" json:"concept"` + Weight float64 `db:"weight" json:"weight"` + UpdatedAt string `db:"updated_at" json:"updated_at"` +} + +// UserFeedbackType represents the type of user feedback. +type UserFeedbackType int + +const ( + // FeedbackNegative represents a thumbs down. + FeedbackNegative UserFeedbackType = -1 + // FeedbackNeutral represents no feedback. + FeedbackNeutral UserFeedbackType = 0 + // FeedbackPositive represents a thumbs up. + FeedbackPositive UserFeedbackType = 1 +) + +// DefaultConceptWeights contains the default weights for concepts. +// Higher weights indicate more important concepts. +var DefaultConceptWeights = map[string]float64{ + // Critical concepts (0.25-0.30) + "security": 0.30, // Security issues are most critical + + // High importance (0.20-0.25) + "gotcha": 0.25, // Gotchas prevent future mistakes + "best-practice": 0.20, // Best practices guide development + "anti-pattern": 0.20, // Anti-patterns prevent bad code + + // Medium importance (0.10-0.15) + "architecture": 0.15, // Architectural decisions have lasting impact + "performance": 0.15, // Performance patterns matter for scale + "error-handling": 0.15, // Error handling prevents failures + "pattern": 0.10, // General patterns are useful + "testing": 0.10, // Testing knowledge helps quality + "debugging": 0.10, // Debugging tips save time + "problem-solution": 0.10, // Problem-solution pairs are actionable + "trade-off": 0.10, // Trade-offs inform decisions + + // Lower importance (0.05) + "workflow": 0.05, // Workflow optimizations are nice-to-have + "tooling": 0.05, // Tooling preferences are subjective + "how-it-works": 0.05, // Understanding is foundational but less urgent + "why-it-exists": 0.05, // Context is helpful but less actionable + "what-changed": 0.05, // Changes are informational +} + +// TypeBaseScores contains the base importance multipliers for each observation type. +// These are multiplied with the core score to weight different observation types. +var TypeBaseScores = map[ObservationType]float64{ + ObsTypeBugfix: 1.3, // Bugfixes are valuable - prevent regressions + ObsTypeFeature: 1.2, // New features expand capabilities + ObsTypeDiscovery: 1.1, // Discoveries inform future work + ObsTypeDecision: 1.1, // Architectural decisions guide development + ObsTypeRefactor: 1.0, // Refactoring is neutral + ObsTypeChange: 0.9, // Minor changes are slightly less important +} + +// ScoringConfig contains all scoring weights and parameters. +type ScoringConfig struct { + // RecencyHalfLifeDays is the number of days for the importance score to halve. + // With 7 days, a 7-day old observation has 50% of a new observation's recency score. + RecencyHalfLifeDays float64 `json:"recency_half_life_days"` + + // FeedbackWeight scales the user feedback contribution to final score. + // With 0.30, a thumbs up adds 0.30 to the score, thumbs down subtracts 0.30. + FeedbackWeight float64 `json:"feedback_weight"` + + // ConceptWeight scales the concept boost contribution. + // The sum of matching concept weights is multiplied by this. + ConceptWeight float64 `json:"concept_weight"` + + // RetrievalWeight scales the retrieval boost contribution. + // Popular observations get a logarithmic bonus. + RetrievalWeight float64 `json:"retrieval_weight"` + + // ConceptWeights maps concept names to their importance weights. + ConceptWeights map[string]float64 `json:"concept_weights"` + + // MinScore is the minimum allowed importance score. + // Prevents observations from completely disappearing. + MinScore float64 `json:"min_score"` +} + +// DefaultScoringConfig returns the default scoring configuration. +func DefaultScoringConfig() *ScoringConfig { + conceptWeights := make(map[string]float64, len(DefaultConceptWeights)) + for k, v := range DefaultConceptWeights { + conceptWeights[k] = v + } + + return &ScoringConfig{ + RecencyHalfLifeDays: 7.0, // Score halves every 7 days + FeedbackWeight: 0.30, // Feedback has moderate impact + ConceptWeight: 0.20, // Concept weights have smaller impact + RetrievalWeight: 0.15, // Retrieval has smallest impact + ConceptWeights: conceptWeights, + MinScore: 0.01, // Never completely disappear + } +} + +// TypeBaseScore returns the base weight for an observation type. +func TypeBaseScore(t ObservationType) float64 { + if score, ok := TypeBaseScores[t]; ok { + return score + } + return 1.0 // Default for unknown types +} diff --git a/scripts/download-bge-model.sh b/scripts/download-bge-model.sh new file mode 100755 index 0000000..4585ad1 --- /dev/null +++ b/scripts/download-bge-model.sh @@ -0,0 +1,121 @@ +#!/bin/bash +# Download BGE-small-en-v1.5 model for embedding +# Usage: ./download-bge-model.sh [--force] +# Use --force to re-download even if files exist + +set -e + +MODEL_NAME="bge-small-en-v1.5" +MODEL_REPO="BAAI/bge-small-en-v1.5" +ASSETS_DIR="internal/embedding/assets" +VERSION_FILE="${ASSETS_DIR}/.model_version" +FORCE_DOWNLOAD=false + +# Check for --force flag +for arg in "$@"; do + if [ "$arg" = "--force" ]; then + FORCE_DOWNLOAD=true + fi +done + +# Temporary directory for downloads +TEMP_DIR=$(mktemp -d) +trap "rm -rf ${TEMP_DIR}" EXIT + +# Check if model already exists +model_exists() { + [ -f "${ASSETS_DIR}/model.onnx" ] && [ -f "${ASSETS_DIR}/tokenizer.json" ] +} + +# Get installed version +get_installed_version() { + if [ -f "$VERSION_FILE" ]; then + cat "$VERSION_FILE" + else + echo "" + fi +} + +# Write version file +write_version_file() { + echo "${MODEL_NAME}" > "$VERSION_FILE" +} + +download_model() { + echo "Downloading ${MODEL_NAME} from Hugging Face..." + + # Create assets directory + mkdir -p "${ASSETS_DIR}" + + # Download ONNX model + # BGE models have ONNX exports available in the repo + echo "Downloading ONNX model..." + curl -fsSL \ + "https://huggingface.co/${MODEL_REPO}/resolve/main/onnx/model.onnx" \ + -o "${TEMP_DIR}/model.onnx" + + # Download tokenizer.json + echo "Downloading tokenizer..." + curl -fsSL \ + "https://huggingface.co/${MODEL_REPO}/resolve/main/tokenizer.json" \ + -o "${TEMP_DIR}/tokenizer.json" + + # Verify files exist and have content + if [ ! -s "${TEMP_DIR}/model.onnx" ]; then + echo "Error: Failed to download model.onnx or file is empty" + exit 1 + fi + + if [ ! -s "${TEMP_DIR}/tokenizer.json" ]; then + echo "Error: Failed to download tokenizer.json or file is empty" + exit 1 + fi + + # Move to assets directory (backup old files first) + if [ -f "${ASSETS_DIR}/model.onnx" ]; then + mv "${ASSETS_DIR}/model.onnx" "${ASSETS_DIR}/model.onnx.bak" + fi + if [ -f "${ASSETS_DIR}/tokenizer.json" ]; then + mv "${ASSETS_DIR}/tokenizer.json" "${ASSETS_DIR}/tokenizer.json.bak" + fi + + mv "${TEMP_DIR}/model.onnx" "${ASSETS_DIR}/model.onnx" + mv "${TEMP_DIR}/tokenizer.json" "${ASSETS_DIR}/tokenizer.json" + + # Remove backups on success + rm -f "${ASSETS_DIR}/model.onnx.bak" "${ASSETS_DIR}/tokenizer.json.bak" + + # Write version file + write_version_file + + echo "Model size: $(du -h "${ASSETS_DIR}/model.onnx" | cut -f1)" + echo "Tokenizer size: $(du -h "${ASSETS_DIR}/tokenizer.json" | cut -f1)" +} + +echo "BGE Model Downloader - ${MODEL_NAME}" +echo "==================================" + +need_download=false +reason="" + +if [ "$FORCE_DOWNLOAD" = true ]; then + need_download=true + reason="forced" +elif ! model_exists; then + need_download=true + reason="not found" +elif [ "$(get_installed_version)" != "${MODEL_NAME}" ]; then + need_download=true + reason="version mismatch (installed: $(get_installed_version), required: ${MODEL_NAME})" +fi + +if [ "$need_download" = true ]; then + if [ -n "$reason" ] && [ "$reason" != "not found" ]; then + echo "Re-downloading: ${reason}" + fi + download_model + echo "Done! ${MODEL_NAME} installed successfully." +else + echo "Model ${MODEL_NAME} already exists, skipping download." + echo "Use --force to re-download." +fi diff --git a/ui/package-lock.json b/ui/package-lock.json index 41875ca..6e9ac50 100644 --- a/ui/package-lock.json +++ b/ui/package-lock.json @@ -1,13 +1,15 @@ { "name": "claude-mnemonic-dashboard", - "version": "v0.6.33-3-gf38ce5c-dirty", + "version": "0ddacaa-dirty", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "claude-mnemonic-dashboard", - "version": "v0.6.33-3-gf38ce5c-dirty", + "version": "0ddacaa-dirty", "dependencies": { + "vis-data": "^7.1.9", + "vis-network": "^9.1.9", "vue": "^3.5.13" }, "devDependencies": { @@ -81,6 +83,19 @@ "node": ">=6.9.0" } }, + "node_modules/@egjs/hammerjs": { + "version": "2.0.17", + "resolved": "https://registry.npmjs.org/@egjs/hammerjs/-/hammerjs-2.0.17.tgz", + "integrity": "sha512-XQsZgjm2EcVUiZQf11UBJQfmZeEmOW8DpI1gsFeln6w0ae0ii4dMQEQ0kjl6DspdWX1aGY1/loyXnP0JS06e/A==", + "license": "MIT", + "peer": true, + "dependencies": { + "@types/hammerjs": "^2.0.36" + }, + "engines": { + "node": ">=0.8.0" + } + }, "node_modules/@esbuild/aix-ppc64": { "version": "0.25.12", "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.25.12.tgz", @@ -924,6 +939,13 @@ "dev": true, "license": "MIT" }, + "node_modules/@types/hammerjs": { + "version": "2.0.46", + "resolved": "https://registry.npmjs.org/@types/hammerjs/-/hammerjs-2.0.46.tgz", + "integrity": "sha512-ynRvcq6wvqexJ9brDMS4BnBLzmr0e14d6ZJTEShTBWKymQiHwlAyGu0ZPEFI2Fh1U53F7tN9ufClWM5KvqkKOw==", + "license": "MIT", + "peer": true + }, "node_modules/@types/node": { "version": "22.19.2", "resolved": "https://registry.npmjs.org/@types/node/-/node-22.19.2.tgz", @@ -1352,6 +1374,19 @@ "node": ">= 6" } }, + "node_modules/component-emitter": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/component-emitter/-/component-emitter-2.0.0.tgz", + "integrity": "sha512-4m5s3Me2xxlVKG9PkZpQqHQR7bgpnN7joDMJ4yvVkVXngjoITG76IaZmzmywSeRTeTpc6N6r3H3+KyUurV8OYw==", + "license": "MIT", + "peer": true, + "engines": { + "node": ">=18" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, "node_modules/cssesc": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/cssesc/-/cssesc-3.0.0.tgz", @@ -1669,6 +1704,13 @@ "jiti": "bin/jiti.js" } }, + "node_modules/keycharm": { + "version": "0.4.0", + "resolved": "https://registry.npmjs.org/keycharm/-/keycharm-0.4.0.tgz", + "integrity": "sha512-TyQTtsabOVv3MeOpR92sIKk/br9wxS+zGj4BG7CR8YbK4jM3tyIBaF0zhzeBUMx36/Q/iQLOKKOT+3jOQtemRQ==", + "license": "(Apache-2.0 OR MIT)", + "peer": true + }, "node_modules/lilconfig": { "version": "3.1.3", "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-3.1.3.tgz", @@ -2412,6 +2454,70 @@ "dev": true, "license": "MIT" }, + "node_modules/uuid": { + "version": "11.1.0", + "resolved": "https://registry.npmjs.org/uuid/-/uuid-11.1.0.tgz", + "integrity": "sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==", + "funding": [ + "https://github.com/sponsors/broofa", + "https://github.com/sponsors/ctavan" + ], + "license": "MIT", + "peer": true, + "bin": { + "uuid": "dist/esm/bin/uuid" + } + }, + "node_modules/vis-data": { + "version": "7.1.10", + "resolved": "https://registry.npmjs.org/vis-data/-/vis-data-7.1.10.tgz", + "integrity": "sha512-23juM9tdCaHTX5vyIQ7XBzsfZU0Hny+gSTwniLrfFcmw9DOm7pi3+h9iEBsoZMp5rX6KNqWwc1MF0fkAmWVuoQ==", + "license": "(Apache-2.0 OR MIT)", + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/visjs" + }, + "peerDependencies": { + "uuid": "^3.4.0 || ^7.0.0 || ^8.0.0 || ^9.0.0 || ^10.0.0 || ^11.0.0", + "vis-util": "^5.0.1" + } + }, + "node_modules/vis-network": { + "version": "9.1.13", + "resolved": "https://registry.npmjs.org/vis-network/-/vis-network-9.1.13.tgz", + "integrity": "sha512-HLeHd5KZS92qzO1kC59qMh1/FWAZxMUEwUWBwDMoj6RKj/Ajkrgy/heEYo0Zc8SZNQ2J+u6omvK2+a28GX1QuQ==", + "license": "(Apache-2.0 OR MIT)", + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/visjs" + }, + "peerDependencies": { + "@egjs/hammerjs": "^2.0.0", + "component-emitter": "^1.3.0 || ^2.0.0", + "keycharm": "^0.2.0 || ^0.3.0 || ^0.4.0", + "uuid": "^3.4.0 || ^7.0.0 || ^8.0.0 || ^9.0.0 || ^10.0.0 || ^11.0.0", + "vis-data": "^6.3.0 || ^7.0.0", + "vis-util": "^5.0.1" + } + }, + "node_modules/vis-util": { + "version": "5.0.7", + "resolved": "https://registry.npmjs.org/vis-util/-/vis-util-5.0.7.tgz", + "integrity": "sha512-E3L03G3+trvc/X4LXvBfih3YIHcKS2WrP0XTdZefr6W6Qi/2nNCqZfe4JFfJU6DcQLm6Gxqj2Pfl+02859oL5A==", + "license": "(Apache-2.0 OR MIT)", + "peer": true, + "engines": { + "node": ">=8" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/visjs" + }, + "peerDependencies": { + "@egjs/hammerjs": "^2.0.0", + "component-emitter": "^1.3.0 || ^2.0.0" + } + }, "node_modules/vite": { "version": "6.4.1", "resolved": "https://registry.npmjs.org/vite/-/vite-6.4.1.tgz", diff --git a/ui/package.json b/ui/package.json index df4513d..7cb9a8e 100644 --- a/ui/package.json +++ b/ui/package.json @@ -1,6 +1,6 @@ { "name": "claude-mnemonic-dashboard", - "version": "v0.6.33-3-gf38ce5c-dirty", + "version": "0ddacaa-dirty", "private": true, "type": "module", "scripts": { @@ -10,6 +10,8 @@ "type-check": "vue-tsc --noEmit" }, "dependencies": { + "vis-data": "^7.1.9", + "vis-network": "^9.1.9", "vue": "^3.5.13" }, "devDependencies": { diff --git a/ui/package.json.tpl b/ui/package.json.tpl index a9520b8..2c170f8 100644 --- a/ui/package.json.tpl +++ b/ui/package.json.tpl @@ -10,6 +10,8 @@ "type-check": "vue-tsc --noEmit" }, "dependencies": { + "vis-data": "^7.1.9", + "vis-network": "^9.1.9", "vue": "^3.5.13" }, "devDependencies": { diff --git a/ui/src/App.vue b/ui/src/App.vue index 258a22f..0c51221 100644 --- a/ui/src/App.vue +++ b/ui/src/App.vue @@ -30,7 +30,7 @@ const { // Pass currentProject ref to useStats for project-specific retrieval stats const { stats } = useStats(currentProject) -// Note: Timeline refresh is handled by useTimeline's SSE watcher +// Note: Feedback is handled directly in ObservationCard component