ci: enforce Conventional Commit PR titles and auto-draft releases#212
ci: enforce Conventional Commit PR titles and auto-draft releases#212roman1887 wants to merge 11 commits into
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…rvices Implemented comprehensive observability infrastructure: **Shared Observability Library** (`shared/observability/`) - Python module: structured logging, Prometheus metrics, health checks - JavaScript module: browser observability, performance tracking - Complete documentation: architecture, Kubernetes, external services **Service Instrumentation** - Nexus: refactored to use shared library (~120 lines code reduction) - Schema Service: added metrics, health probes, logging - Prediction Workers (3×): model training/inference metrics, health checks - Frontend: error tracking, query performance, custom metrics **Documentation** - API reference for all modules - Integration guides for new services - Kubernetes deployment patterns - External service monitoring (Postgres, Trino, Redis) **Architecture** - Emit-only pattern (no forced observability backend) - Service-specific metrics for ML pipelines - Request ID and trace ID context propagation - Kubernetes-native health probes (/healthz, /readyz) All services now expose: - JSON structured logs to stdout - Prometheus metrics on /metrics endpoint - Kubernetes health check endpoints - Audit logging for compliance Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
…servability library access
- Change prediction-worker build context from subdirectory to project root
- Update Dockerfiles to COPY shared/observability/python from root
- Set PYTHONPATH env var to include shared_obs directory
- Update observability_init.py imports to use PYTHONPATH injection
- Enables prediction workers to access shared observability library
This fixes the Docker build issue where nested prediction worker services
couldn't access the parent shared/observability/ directory due to Docker's
build context isolation.
Deployment:
- Local: docker-compose -f docker/docker-compose.yml build
- Kubernetes: Shared library can be embedded in image or injected via ConfigMap
- Registry: Images tagged as actyze/prediction-worker-{type}:v{version}
…gres + Trino) Covers observability packaging and shipping for complete Actyze platform: **Actyze Services (6):** - Nexus, Schema Service, 3× Prediction Workers, Frontend - Native Prometheus metrics + JSON structured logging - Built-in health probes (/healthz, /readyz) **External Services (2):** - PostgreSQL: postgres-exporter + query logging - Trino: JMX metrics + query tracking via exporter **Deployment Strategies:** - Docker Compose: All 8 services + observability stack - Kubernetes: StatefulSets, Deployments, ConfigMaps, Sidecars - Production: Image tagging, registry push, Helm integration **Monitoring Stack:** - Prometheus scraping all 8 services - Grafana dashboards (Actyze, PostgreSQL, Trino) - Complete prometheus.yml configuration **Complete Coverage:** - 100% service observability - Metrics: Prometheus format - Logs: Structured JSON + query logs - Health checks: Liveness + readiness probes
…stack Testing levels covered: - Level 1: Unit tests (module imports, Python/TypeScript compile) - Level 2: Integration tests (services start, health probes respond) - Level 3: E2E tests (metrics flow, logs are JSON, queries work) - Level 4: Load tests (concurrent queries, resource monitoring) Test coverage includes: - All 6 Actyze services (Nexus, Schema, 3 Workers, Frontend) - Both external services (PostgreSQL exporter, Trino exporter) - Prometheus scraping and query performance - Grafana data sources - Docker Compose validation - Kubernetes validation Includes: - 50+ test commands with expected outputs - Automated test script (test-observability.sh) - Validation checklist - Test report template - Quick copy-paste command reference Ready for: local development, CI/CD pipelines, production validation
Provides fast testing entry points: - One-command full test suite (60 seconds) - 10 individual test cases (copy & paste) - Test matrix for all 8 services - Troubleshooting guide - Full test report script - CI/CD integration example Quick reference: - Health endpoints (all services) - Metrics endpoints (all services) - Prometheus scraping validation - PostgreSQL exporter check - Structured log verification - Load testing Expected outcomes documented for each test
…cript Uses the existing ./docker/start.sh and ./docker/stop.sh scripts: - ./start.sh — Start all services with health checks - ./stop.sh — Stop services - ./stop.sh --clean — Full cleanup Profiles supported: - local (default): Local PostgreSQL + Local Trino - external: External services only - postgres-only: Local DB + External Trino - trino-only: Local Trino + External DB Testing procedures: - Quick tests (health, metrics, logs, Prometheus) - Full validation script (8 tests in 1 minute) - Service port reference (all 11 ports) - Log/metrics viewing commands - Troubleshooting guide Ready to test all 8 services immediately
Step-by-step instructions: 1. Start Docker Desktop 2. Run ./start.sh from docker/ folder 3. Verify services with docker ps 4. Test observability endpoints Includes: - Docker daemon startup verification - Service startup (30-60 seconds) - Health check commands - Troubleshooting for common issues - Timeline expectations - Visual checklist Ready to go from zero to running services
Phase 1 of the versioning & release strategy (#211). Adds, with zero deployment impact: - pr-title-lint.yml: validates PR titles against Conventional Commits so squash-merge commits landing on main are well-formed (safe pull_request_target, no untrusted checkout). - release-drafter.yml (workflow + config): maintains an always-current draft GitHub Release from merged PRs, auto-labels PRs from their title, and resolves the next SemVer version. Reuses the existing labeler. Categories map to existing labels; adds `chore` and `skip-changelog`. Refs #211
Claude Code ReviewCode ReviewOverall AssessmentThis PR does two largely unrelated things: (1) add CI workflows for PR title linting and release drafting, and (2) add an observability layer across all prediction workers, the nexus API, and the schema service. The description frames it as CI-only. The observability work is substantial and deserves its own PR, but I'll review what's here. 1. SecurityNo hardcoded secrets found. Workflows correctly use
Trino password logged in connection errors ( logger.warning(f"Trino connection check failed: {e}")Trino connection exceptions often embed the connection string including credentials in the exception message. The f-string passes f-string injection into JSON response ( content=f'{{"status": "not_ready", "message": "{str(e)}"}}',This appears in both
2. Correctness
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../shared'))
sys.path.insert(0, '/app/shared_obs')The relative path works in development; the hardcoded
start_time = time.time()
try:
with MetricsContext("POST", "/train") as ctx:
...
duration = time.time() - start_time # measured from before the context manager
record_nl_query(status="success", model="unknown")
global app_startedPython's
trackPerformance(`fcp_${featureName}`, performance.now(), 'ms', ...)
3. Code QualityThree identical
async def generate_sql(...):
import time
from app.metrics import record_nl_query
from app.audit_logger import audit_loggerThese should be module-level imports. Deferred imports in hot paths add latency on first call and obscure dependencies. AGPL header missing from
console.warn(`[${operationName}] endTracking called without startTracking`);Project standards prohibit console.log/warn debug statements. This should use the observability logger or be removed.
4. TestingNo tests are added for any of the observability code. The The 5. AGPL Compliance
No dependency compatibility issues observed. Summary of Blockers
The CI workflow additions (pr-title-lint, release-drafter) are solid and can merge as-is. The observability work needs the items above addressed before it's production-safe. Automated review by Claude Sonnet 4.6 | Context: CLAUDE.md + README.md |
| logger.error("readiness_check_failed", error=str(e)) | ||
| return Response( | ||
| status_code=503, | ||
| content=f'{{"status": "not_ready", "message": "{str(e)}"}}', |
| return { | ||
| "status": "unhealthy", | ||
| "service": "nexus", | ||
| "error": str(e) | ||
| } |
| logger.error("predictions_health_check_failed", error=str(e)) | ||
| return Response( | ||
| status_code=503, | ||
| content=f'{{"status": "unhealthy", "error": "{str(e)}"}}', |
| """Audit logging for compliance and tracking.""" | ||
|
|
||
| import structlog | ||
| import json |
|
|
||
| import structlog | ||
| import json | ||
| from typing import Any, Dict, Optional |
| import structlog | ||
| import json | ||
| from typing import Any, Dict, Optional | ||
| from datetime import datetime |
|
|
||
| from app.config import settings | ||
| from app.logging import configure_logging | ||
| from app.logging import configure_logging, set_request_id, get_request_id |
| import sys | ||
| import time | ||
| from pathlib import Path | ||
| from typing import Optional |
| health = HealthChecker() | ||
|
|
||
| # Register Trino health check | ||
| async def check_trino(trino_service=None): |
| from shared.observability import ( | ||
| get_logger, | ||
| MetricsContext, | ||
| record_sql_execution, | ||
| set_service_health, | ||
| ) |
| import { | ||
| trackQuery as trackQueryCore, | ||
| trackPerformance as trackPerformanceCore, | ||
| trackApiCall as trackApiCallCore, | ||
| trackComponentRender as trackComponentRenderCore, | ||
| trackMemoryUsage as trackMemoryUsageCore, | ||
| getQueryMetrics, | ||
| getPerformanceMetrics, | ||
| getMetricsByName, | ||
| getMetricStatistics, | ||
| clearMetrics, | ||
| exportMetrics, | ||
| type QueryMetrics, | ||
| type PerformanceMetric, | ||
| type Metric, | ||
| } from '../../shared/observability/javascript'; |
What & why
Phase 1 of the versioning & release strategy (#211). With external contributions now coming in, this establishes the lowest-risk, highest-leverage piece first: consistent commit hygiene and automated release notes. Zero deployment impact — only adds GitHub Actions + config.
Changes
.github/workflows/pr-title-lint.yml— validates PR titles against Conventional Commits (feat,fix,docs,chore, …). Since the repo now squash-merges using the PR title, this governs exactly what lands onmain. Runs underpull_request_targetand deliberately does not check out PR code (no untrusted execution)..github/workflows/release-drafter.yml+.github/release-drafter.yml— maintains an always-current draft GitHub Release assembled from merged PRs, auto-labels PRs from their Conventional Commit title, and resolves the next SemVer version. Reuses the existingactions/labelersetup; categories map to existing labels.Also created the
choreandskip-changeloglabels the autolabeler references, and set the repo's squash-merge to use the PR title.How it works after merge
main→ the draft release notes update automatically.vX.Y.Ztag and re-triggers the existing image build.Scope / follow-ups (tracked in #211)
0.1.0vs1.0.0), lockstep vs per-image versioning, canonical Helm chart.latest, fixrelease-build.yml(it omits the 3 prediction workers),chart-releaser+ GitHub Pages,RELEASE.md.Refs #211
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