- Add python-dotenv loading in main.py so DATABASE_URL is read from .env
before db.py module initializes
- Add MLFLOW_TRACKING_URI to .env.example pointing to PostgreSQL
- Add python-dotenv>=1.0.0 to pyproject.toml dependencies
- Initialize MLflow schema in candle_annotator PostgreSQL database
MLflow server now starts without filesystem deprecation warnings and
with full job execution support.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
