candle-annotator/services/ml/app
Marko Djordjevic f94d16c6ab fix: implement real health checks in ML service /health endpoint
- Execute SELECT 1 against PostgreSQL via SQLAlchemy session to verify DB connectivity
- HTTP GET to ${MLFLOW_TRACKING_URI}/health (default: http://localhost:5000/health) to verify MLflow
- Return HTTP 503 if any component is unhealthy, HTTP 200 only when both are healthy
- Values: "healthy" / "unhealthy" for database and mlflow fields
- Add `import requests as http_requests` and `sa_text` imports

Closes task 5.6 in openspec/changes/code-review-fix/tasks.md

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-18 11:30:12 +01:00
..
__init__.py feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
annotation_ingestion.py feat: add Python migration script and successfully test SQLite to PostgreSQL data migration 2026-02-17 14:01:21 +01:00
config.py feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
data_access.py fix: resolve numpy type conversion issues in ML service data access 2026-02-17 14:10:21 +01:00
db.py security: remove credential SQL comments and add DATABASE_URL fail-fast check 2026-02-18 10:56:49 +01:00
main.py fix: implement real health checks in ML service /health endpoint 2026-02-18 11:30:12 +01:00
patterns.py feat: add FastAPI pattern detection endpoints (Section 1) 2026-02-17 18:34:14 +01:00
preprocessing.py fix(ml): add windowed feature flattening for inference parity 2026-02-15 22:07:06 +01:00