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https://github.com/lukaszraczylo/claude-mnemonic.git
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fix: address 15 additional hang vectors found during deep audit (#45)
MCP server (5 fixes):
- Move semaphore acquisition inside goroutine so main loop stays
responsive when all slots are taken
- Add 10s write timeout to sendResponse to prevent pipe deadlock
when Claude Code pauses reading stdout
- Send fallback JSON-RPC error when json.Marshal fails instead of
silently swallowing the error and leaving caller waiting forever
- Silence unknown notification methods (req.ID == nil) instead of
sending unsolicited error responses that may desync the host
- Return MCP isError content for tool failures instead of top-level
JSON-RPC error, matching the MCP specification
Vector/embedding (3 fixes):
- Move EmbedBatchWithContext call before writeMu.Lock in AddDocuments
so ONNX inference runs outside the write lock
- Replace singleflight.Do with DoChan + ctx select in both
getOrComputeEmbedding and UnifiedSearch so callers can bail out
independently when their context expires
- Add activeQueries atomic counter; skip cache warming when user
queries are in-flight; reduce warming timeout from 5s to 2s
Hooks (4 fixes):
- Cap EnsureWorkerRunning to 15s hard deadline with context; reduce
StartupTimeout from 30s to 10s; reduce port-in-use retries
- Fix nil dereference panic in user-prompt hook when initResult is
nil (non-JSON worker response); use comma-ok assertions
- Use package-level hookClient/healthClient with DisableKeepAlives
to prevent FD leaks in short-lived hook processes
- Set SysProcAttr{Setpgid: true} to detach worker from hook process
group, preventing kill-cascade from Claude Code
Worker/DB (3 fixes):
- Replace os.Exit(0) in MCP config watcher with context cancellation
for clean protocol shutdown
- Add 60s context.WithTimeout around ProcessObservation calls in
processAllSessions to prevent hung CLI subprocesses from blocking
the queue processor forever
- Set explicit PRAGMA wal_autocheckpoint=1000 and add PASSIVE WAL
checkpoint to Optimize() to prevent checkpoint stalls
Adds 20+ regression tests across all fix areas.
This commit is contained in:
@@ -1009,6 +1009,91 @@ func TestSearchParams_FormatValues(t *testing.T) {
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}
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}
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// =============================================================================
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// REGRESSION TESTS FOR Fix #3: Cache warming skipped during active queries
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// =============================================================================
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// TestCacheWarming_SkippedDuringActiveQueries verifies that warmFrequentQueries
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// returns immediately without doing work when activeQueries > 0, and actually
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// warms when activeQueries == 0.
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func TestCacheWarming_SkippedDuringActiveQueries(t *testing.T) {
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m := NewManager(nil, nil, nil, nil)
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defer m.Close()
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// Seed a frequent query so warming has something to consider
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params := SearchParams{
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Query: "test warming query",
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Project: "test-project",
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Limit: 10,
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}
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m.trackQueryFrequency(params)
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// Track it multiple times to boost its score
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for range 5 {
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m.trackQueryFrequency(params)
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}
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// Case 1: activeQueries > 0 — warming should be skipped (fast return)
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m.activeQueries.Store(1)
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start := time.Now()
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m.warmFrequentQueries()
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elapsed := time.Since(start)
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// Warming should return almost immediately when skipped
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assert.Less(t, elapsed, 50*time.Millisecond,
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"warmFrequentQueries should return quickly when user queries are in flight")
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// Case 2: activeQueries == 0 — warming should proceed past the guard.
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// With nil stores, executeSearch would panic, so we verify the guard was
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// bypassed by checking that the frequency map's lastCached is NOT updated
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// (warming fails silently on nil stores). The key assertion is that Case 1
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// returns immediately (the guard works) while Case 2 enters the body.
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m.activeQueries.Store(0)
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// Clear frequency data to prevent executeSearch from being called
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m.queryFrequencyMu.Lock()
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m.queryFrequency = make(map[string]*queryFrequencyInfo)
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m.queryFrequencyMu.Unlock()
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start2 := time.Now()
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m.warmFrequentQueries()
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elapsed2 := time.Since(start2)
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// With empty frequency map, warming enters the function body (past guard)
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// but finds no candidates — fast return without calling executeSearch.
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assert.Less(t, elapsed2, 200*time.Millisecond,
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"warmFrequentQueries should complete quickly with no candidates")
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}
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// TestActiveQueries_IncrementDecrement verifies that the activeQueries counter
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// is correctly incremented and decremented around search operations.
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func TestActiveQueries_IncrementDecrement(t *testing.T) {
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m := NewManager(nil, nil, nil, nil)
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defer m.Close()
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// Before any search, counter should be 0
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assert.Equal(t, int32(0), m.activeQueries.Load())
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// Directly test the atomic increment/decrement pattern used in UnifiedSearch
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// (can't call UnifiedSearch with nil stores without panicking on filterSearch)
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m.activeQueries.Add(1)
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assert.Equal(t, int32(1), m.activeQueries.Load(), "should be 1 after increment")
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m.activeQueries.Add(1)
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assert.Equal(t, int32(2), m.activeQueries.Load(), "should be 2 after second increment")
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m.activeQueries.Add(-1)
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assert.Equal(t, int32(1), m.activeQueries.Load(), "should be 1 after decrement")
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m.activeQueries.Add(-1)
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assert.Equal(t, int32(0), m.activeQueries.Load(), "should be 0 after final decrement")
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// Verify the field is accessible from warmFrequentQueries guard
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m.activeQueries.Store(3)
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assert.Equal(t, int32(3), m.activeQueries.Load())
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m.activeQueries.Store(0)
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}
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// TestUnifiedSearchResult_MultipleResults tests result with multiple items.
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func TestUnifiedSearchResult_MultipleResults(t *testing.T) {
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results := []SearchResult{
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