fixup! chore: update marketplace for v0.11.37

march-improvements
This commit is contained in:
2026-03-06 15:39:52 +00:00
parent 1a6f6b6e5e
commit 77f5f02510
32 changed files with 2403 additions and 2777 deletions
+161
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@@ -0,0 +1,161 @@
// Package sdk provides write-time observation deduplication via vector similarity.
package sdk
import (
"context"
"fmt"
"strings"
"github.com/lukaszraczylo/claude-mnemonic/internal/config"
"github.com/lukaszraczylo/claude-mnemonic/internal/db/gorm"
"github.com/lukaszraczylo/claude-mnemonic/internal/vector/sqlitevec"
"github.com/lukaszraczylo/claude-mnemonic/pkg/models"
"github.com/rs/zerolog/log"
)
// DeduplicationResult represents the outcome of a vector similarity dedup check.
type DeduplicationResult struct {
ExistingID int64
Similarity float64
Action string // "insert", "merge"
}
// checkVectorDeduplication checks if a similar observation already exists using vector similarity.
// Returns a result indicating whether to insert or merge, or an error.
// On any failure, returns Action="insert" so the caller always proceeds with storage.
func (p *Processor) checkVectorDeduplication(ctx context.Context, obs *models.ParsedObservation, project string) *DeduplicationResult {
cfg := config.Get()
if !cfg.DeduplicationEnabled {
return &DeduplicationResult{Action: "insert"}
}
if p.vectorClient == nil {
return &DeduplicationResult{Action: "insert"}
}
// Build search text from observation fields
searchText := buildObservationSearchText(obs)
if searchText == "" {
return &DeduplicationResult{Action: "insert"}
}
// Query vector DB for similar observations in the same project
where := sqlitevec.BuildWhereFilter(sqlitevec.DocTypeObservation, project)
results, err := p.vectorClient.Query(ctx, searchText, 3, where)
if err != nil {
log.Debug().Err(err).Msg("Vector search failed during dedup check")
return &DeduplicationResult{Action: "insert"}
}
// Check results for high similarity
for _, r := range results {
if r.Similarity >= cfg.DeduplicationThreshold {
obsID := extractObservationIDFromVectorDoc(r)
if obsID > 0 {
return &DeduplicationResult{
ExistingID: obsID,
Similarity: r.Similarity,
Action: "merge",
}
}
}
}
return &DeduplicationResult{Action: "insert"}
}
// buildObservationSearchText creates searchable text from a parsed observation.
func buildObservationSearchText(obs *models.ParsedObservation) string {
var parts []string
if obs.Title != "" {
parts = append(parts, obs.Title)
}
if obs.Subtitle != "" {
parts = append(parts, obs.Subtitle)
}
if obs.Narrative != "" {
parts = append(parts, obs.Narrative)
}
text := strings.Join(parts, " ")
if len(text) > 2000 {
text = text[:2000]
}
return text
}
// extractObservationIDFromVectorDoc extracts the SQLite observation ID from a vector query result.
func extractObservationIDFromVectorDoc(r sqlitevec.QueryResult) int64 {
// Prefer the sqlite_id metadata field (set during vector sync)
if sqliteID, ok := r.Metadata["sqlite_id"].(float64); ok && sqliteID > 0 {
return int64(sqliteID)
}
if sqliteID, ok := r.Metadata["sqlite_id"].(int64); ok && sqliteID > 0 {
return sqliteID
}
// Fallback: parse from doc_id format "obs_{id}_composite" or "obs_{id}_narrative"
if !strings.HasPrefix(r.ID, "obs_") {
return 0
}
parts := strings.SplitN(r.ID[4:], "_", 2)
if len(parts) == 0 {
return 0
}
var id int64
fmt.Sscanf(parts[0], "%d", &id)
return id
}
// mergeObservation updates an existing observation with new information from a duplicate.
// It appends new facts, updates the narrative if the new one is longer,
// and bumps the importance score to reflect reconfirmation.
func (p *Processor) mergeObservation(ctx context.Context, existingID int64, newObs *models.ParsedObservation) error {
existing, err := p.observationStore.GetObservationByID(ctx, existingID)
if err != nil {
return fmt.Errorf("fetch existing observation %d: %w", existingID, err)
}
if existing == nil {
return fmt.Errorf("observation %d not found", existingID)
}
update := &gorm.ObservationUpdate{}
changed := false
// Merge facts: append new facts not already present
if len(newObs.Facts) > 0 {
existingFactSet := make(map[string]struct{}, len(existing.Facts))
for _, f := range existing.Facts {
existingFactSet[f] = struct{}{}
}
mergedFacts := make([]string, len(existing.Facts))
copy(mergedFacts, existing.Facts)
for _, f := range newObs.Facts {
if _, exists := existingFactSet[f]; !exists {
mergedFacts = append(mergedFacts, f)
changed = true
}
}
if changed {
update.Facts = &mergedFacts
}
}
// Update narrative if the new one is longer/more detailed
if len(newObs.Narrative) > len(existing.Narrative.String) {
update.Narrative = &newObs.Narrative
changed = true
}
if !changed {
// Nothing new to merge, but still count it as a confirmed observation
log.Debug().Int64("id", existingID).Msg("Dedup merge: no new content, skipping update")
return nil
}
_, err = p.observationStore.UpdateObservation(ctx, existingID, update)
if err != nil {
return fmt.Errorf("update observation %d: %w", existingID, err)
}
return nil
}
+143
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@@ -0,0 +1,143 @@
package sdk
import (
"testing"
"github.com/lukaszraczylo/claude-mnemonic/internal/vector/sqlitevec"
"github.com/lukaszraczylo/claude-mnemonic/pkg/models"
)
func TestBuildObservationSearchText(t *testing.T) {
tests := []struct {
name string
obs *models.ParsedObservation
expected string
}{
{
name: "empty observation",
obs: &models.ParsedObservation{},
expected: "",
},
{
name: "title only",
obs: &models.ParsedObservation{
Title: "Fix database connection",
},
expected: "Fix database connection",
},
{
name: "all fields",
obs: &models.ParsedObservation{
Title: "Fix database connection",
Subtitle: "Connection pooling issue",
Narrative: "The database connection pool was exhausted due to leaked connections.",
},
expected: "Fix database connection Connection pooling issue The database connection pool was exhausted due to leaked connections.",
},
{
name: "truncates long text",
obs: &models.ParsedObservation{
Narrative: string(make([]byte, 3000)),
},
expected: string(make([]byte, 2000)),
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
result := buildObservationSearchText(tt.obs)
if result != tt.expected {
t.Errorf("got %q, want %q", result, tt.expected)
}
})
}
}
func TestExtractObservationIDFromVectorDoc(t *testing.T) {
tests := []struct {
name string
result sqlitevec.QueryResult
expected int64
}{
{
name: "from sqlite_id metadata (float64)",
result: sqlitevec.QueryResult{
ID: "obs_42_narrative",
Metadata: map[string]any{"sqlite_id": float64(42)},
},
expected: 42,
},
{
name: "from sqlite_id metadata (int64)",
result: sqlitevec.QueryResult{
ID: "obs_42_narrative",
Metadata: map[string]any{"sqlite_id": int64(42)},
},
expected: 42,
},
{
name: "fallback to doc_id parsing",
result: sqlitevec.QueryResult{
ID: "obs_99_composite",
Metadata: map[string]any{},
},
expected: 99,
},
{
name: "non-observation doc_id",
result: sqlitevec.QueryResult{
ID: "summary_5_text",
Metadata: map[string]any{},
},
expected: 0,
},
{
name: "zero sqlite_id falls back to doc_id",
result: sqlitevec.QueryResult{
ID: "obs_123_narrative",
Metadata: map[string]any{"sqlite_id": float64(0)},
},
expected: 123,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
result := extractObservationIDFromVectorDoc(tt.result)
if result != tt.expected {
t.Errorf("got %d, want %d", result, tt.expected)
}
})
}
}
func TestCheckVectorDeduplication_NilClient(t *testing.T) {
p := &Processor{
// No vectorClient set
}
obs := &models.ParsedObservation{
Title: "Test observation",
Narrative: "Some narrative text",
}
result := p.checkVectorDeduplication(nil, obs, "test-project")
if result.Action != "insert" {
t.Errorf("expected Action='insert' when vectorClient is nil, got %q", result.Action)
}
}
func TestCheckVectorDeduplication_EmptySearchText(t *testing.T) {
p := &Processor{
// vectorClient would be set but obs is empty
}
obs := &models.ParsedObservation{
// All empty fields
}
result := p.checkVectorDeduplication(nil, obs, "test-project")
if result.Action != "insert" {
t.Errorf("expected Action='insert' for empty observation, got %q", result.Action)
}
}
+62 -6
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@@ -19,6 +19,7 @@ import (
"github.com/lukaszraczylo/claude-mnemonic/internal/config"
"github.com/lukaszraczylo/claude-mnemonic/internal/db/gorm"
"github.com/lukaszraczylo/claude-mnemonic/internal/vector/sqlitevec"
"github.com/lukaszraczylo/claude-mnemonic/pkg/models"
"github.com/lukaszraczylo/claude-mnemonic/pkg/similarity"
"github.com/rs/zerolog/log"
@@ -194,6 +195,36 @@ func hashRequest(toolName, input, output string) string {
return hex.EncodeToString(h.Sum(nil))[:16] // Short hash is sufficient
}
// maxStdoutBytes is the maximum number of bytes to capture from CLI stdout.
const maxStdoutBytes = 1 * 1024 * 1024 // 1 MiB
// maxStderrBytes is the maximum number of bytes to capture from CLI stderr.
const maxStderrBytes = 64 * 1024 // 64 KiB
// limitedWriter wraps a bytes.Buffer and silently discards writes beyond a maximum size.
type limitedWriter struct {
buf bytes.Buffer
max int
}
// Write implements io.Writer. It writes up to the remaining capacity and silently discards the rest.
func (lw *limitedWriter) Write(p []byte) (int, error) {
remaining := lw.max - lw.buf.Len()
if remaining <= 0 {
return len(p), nil // Silently discard
}
if len(p) > remaining {
p = p[:remaining]
}
lw.buf.Write(p)
return len(p), nil
}
// String returns the buffered content as a string.
func (lw *limitedWriter) String() string {
return lw.buf.String()
}
// BroadcastFunc is a callback for broadcasting events to SSE clients.
type BroadcastFunc func(event map[string]any)
@@ -212,6 +243,7 @@ const MaxVectorSyncWorkers = 8
type Processor struct {
observationStore *gorm.ObservationStore
summaryStore *gorm.SummaryStore
vectorClient *sqlitevec.Client
broadcastFunc BroadcastFunc
syncObservationFunc SyncObservationFunc
syncSummaryFunc SyncSummaryFunc
@@ -240,6 +272,11 @@ func (p *Processor) SetSyncSummaryFunc(fn SyncSummaryFunc) {
p.syncSummaryFunc = fn
}
// SetVectorClient sets the vector client for write-time deduplication.
func (p *Processor) SetVectorClient(client *sqlitevec.Client) {
p.vectorClient = client
}
// broadcast sends an event via the broadcast callback if set.
func (p *Processor) broadcast(event map[string]any) {
if p.broadcastFunc != nil {
@@ -429,16 +466,34 @@ func (p *Processor) ProcessObservation(ctx context.Context, sdkSessionID, projec
// Convert to stored observation for similarity check
storedObs := obs.ToStoredObservation()
// Check if this observation is too similar to existing ones
// Check if this observation is too similar to existing ones (text-based Jaccard)
if existingObs != nil && similarity.IsSimilarToAny(storedObs, existingObs, similarityThreshold) {
log.Debug().
Str("type", string(obs.Type)).
Str("title", obs.Title).
Msg("Skipping observation - too similar to existing")
Msg("Skipping observation - too similar to existing (text)")
skippedCount++
continue
}
// Check vector similarity for high-confidence dedup with merge
dedupResult := p.checkVectorDeduplication(ctx, obs, project)
if dedupResult.Action == "merge" {
log.Info().
Int64("existing_id", dedupResult.ExistingID).
Float64("similarity", dedupResult.Similarity).
Str("title", obs.Title).
Msg("Merging duplicate observation (vector dedup)")
if err := p.mergeObservation(ctx, dedupResult.ExistingID, obs); err != nil {
log.Warn().Err(err).Int64("existing_id", dedupResult.ExistingID).
Msg("Merge failed, inserting as new observation")
// Fall through to normal insert
} else {
skippedCount++
continue
}
}
id, createdAtEpoch, err := p.observationStore.StoreObservation(ctx, sdkSessionID, project, obs, promptNumber, 0)
if err != nil {
log.Error().Err(err).Msg("Failed to store observation")
@@ -644,10 +699,11 @@ func (p *Processor) callClaudeCLI(ctx context.Context, prompt string) (string, e
// Disable any plugin hooks by setting an env var that our hooks can check
cmd.Env = append(os.Environ(), "CLAUDE_MNEMONIC_INTERNAL=1")
// Capture output
var stdout, stderr bytes.Buffer
cmd.Stdout = &stdout
cmd.Stderr = &stderr
// Capture output with size limits to prevent unbounded memory usage
stdout := &limitedWriter{max: maxStdoutBytes}
stderr := &limitedWriter{max: maxStderrBytes}
cmd.Stdout = stdout
cmd.Stderr = stderr
// Run command
err := cmd.Run()