Trace pipeline pool isolation: - Switch event_fetcher and lineage_engine to read_sql_df_slow (non-pooled) - Reduce EVENT_FETCHER_MAX_WORKERS 4→2, TRACE_EVENTS_MAX_WORKERS 4→2 - Add 60s timeout per batch query, cache skip for CID>10K - Early del raw_domain_results + gc.collect() for large queries - Increase DB_SLOW_MAX_CONCURRENT: base 3→5, dev 2→3, prod 3→5 Test fixes (51 pre-existing failures → 0): - reject_history: WORKFLOW CSV header, strict bool validation, pareto mock path - portal shell: remove non-existent /tmtt-defect route from tests - conftest: add --run-stress option to skip stress/load tests by default - migration tests: skipif baseline directory missing - performance test: update Vite asset assertion - wip hold: add firstname/waferdesc mock params - template integration: add /reject-history canonical route Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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MODIFIED Requirements
Requirement: Database Pool Runtime Configuration SHALL Be Enforced
The system SHALL apply database pool and timeout parameters from runtime configuration to the active SQLAlchemy engine used by request handling.
Scenario: Runtime pool configuration takes effect
- WHEN operators set pool and timeout values via environment configuration and start the service
- THEN the active engine MUST use those values for pool size, overflow, wait timeout, and query call timeout
Scenario: Slow query semaphore capacity
- WHEN the service starts in production or staging configuration
- THEN
DB_SLOW_MAX_CONCURRENTSHALL default to 5 (env:DB_SLOW_MAX_CONCURRENT) - WHEN the service starts in development configuration
- THEN
DB_SLOW_MAX_CONCURRENTSHALL default to 3 - WHEN the service starts in testing configuration
- THEN
DB_SLOW_MAX_CONCURRENTSHALL remain at 1