3 Commits

Author	SHA1	Message	Date
CoreRasurae	00881a3e5f	feat(observability): implement Event System Domain Event Taxonomy (full EventType enum + DomainEvent model) ... Verified and completed the Event System Domain Event Taxonomy implementation. Gap analysis: - EventType enum (38 types across 12 domains): ALREADY EXISTED, verified complete - DomainEvent Pydantic model (all 9 fields): ALREADY EXISTED, verified complete - EventBus Protocol (emit + subscribe): ALREADY EXISTED, verified complete - ReactiveEventBus (RxPY Subject, stream property): ALREADY EXISTED, verified - LoggingEventBus (structlog-based): ALREADY EXISTED, verified complete Added: - In-memory audit_log on ReactiveEventBus (list[DomainEvent] with defensive copy) - Emit ordering aligned with specification: RxPY stream push, then audit append, then handler dispatch (§Event System) - Clarified audit_log docstring: volatile in-memory log, not durable SQLite persistence (durable persistence wired separately via audit service layer) - Behave feature: features/observability/event_system_taxonomy.feature (36 scenarios) - Step definitions: features/steps/event_system_taxonomy_steps.py - Robot integration test: robot/event_system_taxonomy_integration.robot (13 test cases) - Robot helper: robot/helper_event_system_taxonomy.py (13 subcommands) - ASV benchmark: benchmarks/bench_event_bus.py (5 benchmark suites) - vulture_whitelist.py: added audit_log property Code review fixes applied: - Reordered emit() to match spec: on_next → audit_log → handlers (was: audit → on_next → handlers) - Clarified audit_log docstring to distinguish volatile in-memory log from spec SQLite table - Fixed benchmark TaxonomyAuditLogSuite: parameterized setup instead of inline construction - Added teardown to TaxonomyLoggingEmitSuite to restore logging.disable(NOTSET) - Clear _received list between benchmark iterations to reduce noise - Catch specific pydantic.ValidationError in frozen model mutation tests - Consolidated duplicate singular/plural step definitions - Tightened EventType count threshold from >=30 to >=38 Quality gates: - lint: PASSED - typecheck: PASSED (0 errors) - unit_tests: 36/36 new scenarios PASSED (pre-existing 12 flaky failures unchanged) - integration_tests: 1483/1483 PASSED - security_scan: PASSED - dead_code: PASSED ISSUES CLOSED: #587	2026-03-26 11:52:52 +00:00
CoreRasurae	3e3e9b4b5d	feat(observability): wire AuditService.record() into domain services via EventBus auto-dispatch ... Implements AuditEventSubscriber that subscribes to all 9 security-relevant EventType members and persists redacted audit entries via AuditService.record(). Key components: - AuditEventSubscriber: bridges EventBus and AuditService (SEC7) - SECURITY_EVENT_MAP: maps EventType enum to audit type strings - Redaction via redact_dict() on event details before persistence - Graceful error handling: failures logged, never propagated Post-review fixes applied: - BUG-1: Remove dead correlation_id null-check guard (DomainEvent.correlation_id is always non-None via ULID default_factory) - SEC-2: Redact exception messages in warning logs via redact_value() to prevent potential leakage of sensitive internal state (e.g. DB connection strings) - PERF-3: Pre-generate unique DomainEvent instances in ASV benchmark setup to avoid skew from reusing a single frozen object - Wire event_bus from the DI container into CorrectionService (plan.py), ConfigService (config.py, skill.py x2, server.py), and PersistentSessionService (session.py) at their CLI construction sites. Closes #581	2026-03-12 23:32:48 +00:00
freemo	958eb0c060	feat(observability): implement Metrics Collection Framework (14 metric types with Histogram/Counter/Gauge) ... Implement the structured metrics collection framework covering 14 operational metric types with proper Histogram, Counter, and Gauge semantics per the spec (Architecture > Observability > Metrics Collection, lines ~43805-43825). Domain layer: - Add MetricType enum (HISTOGRAM, COUNTER, GAUGE) to metrics.py - Add MetricDefinition model and METRIC_DEFINITIONS registry mapping all 14 OperationalMetricKey values to their metric types - Extend MetricCollector with typed factory methods (histogram, counter, gauge) and 14 convenience methods (plan_duration, plan_cost, plan_decision_count, subplan_count, actor_invocation_count, actor_latency, tool_invocation_count, tool_error_rate, context_build_time, context_token_count, llm_call_count, llm_total_tokens, llm_total_cost, llm_avg_latency) - Extend MetricEntry with optional metric_type field that auto-resolves from METRIC_DEFINITIONS via MetricCollector.record() Infrastructure layer: - Add MetricsEmitter (infrastructure/observability/metrics_emitter.py) with emit(), emit_batch(), from_settings(), and enabled/disabled support for structured log emission in local mode - Add metrics_log_processor (config/metrics_processor.py) for structlog integration Configuration: - Add metrics_enabled and metrics_export_prometheus settings - Register MetricsEmitter as DI Singleton in application container Instrumentation: - Add best-effort metric emission in PlanExecutor for plan_duration (both runtime and stub execute paths) and plan_decision_count (strategize path) via _try_emit_metric helper that tolerates invalid plan IDs in test fixtures Testing: - 34 Behave BDD scenarios (features/observability/metrics_collection.feature) - 8 Robot Framework integration tests (robot/metrics_collection.robot) - ASV benchmark suite (benchmarks/bench_metrics_collection.py) Closes #579	2026-03-10 17:23:05 +00:00