- 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>
4 lines
226 B
Text
4 lines
226 B
Text
DATABASE_URL=postgresql://pg_user:pg_password@localhost:5432/candle_annotator
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MLFLOW_TRACKING_URI=postgresql://pg_user:pg_password@localhost:5432/candle_annotator
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# openssl rand -hex 32 add to main .env too
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API_KEY=ML_API_KEY
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