trentuna/candle-annotator
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Migrate MLflow backend to PostgreSQL and fix .env loading

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- 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>
This commit is contained in:
Marko Djordjevic 2026-02-20 21:34:31 +01:00
parent 5fb9733bd6
commit 76cb49e908
3 changed files with 6 additions and 0 deletions
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1
services/ml/.env.example
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@ -1,3 +1,4 @@
DATABASE_URL=postgresql://pg_user:pg_password@localhost:5432/candle_annotator
MLFLOW_TRACKING_URI=postgresql://pg_user:pg_password@localhost:5432/candle_annotator
# openssl rand -hex 32 add to main .env too
API_KEY=ML_API_KEY