Marko Djordjevic 76cb49e908 Migrate MLflow backend to PostgreSQL and fix .env loading ... - 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>		2026-02-20 21:34:31 +01:00
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__init__.py	feat(ml): add database schema, config parser, and DVC setup	2026-02-15 12:08:53 +01:00
annotation_ingestion.py	fix(training): use selected chart and include TA-Lib span sources	2026-02-18 23:21:23 +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(training): use selected chart and include TA-Lib span sources	2026-02-18 23:21:23 +01:00
db.py	Scope training run queries in FastAPI to filter by user ID (Task 14.3)	2026-02-20 18:38:18 +01:00
main.py	Migrate MLflow backend to PostgreSQL and fix .env loading	2026-02-20 21:34:31 +01:00
patterns.py	feat: add FastAPI pattern detection endpoints (Section 1)	2026-02-17 18:34:14 +01:00
preprocessing.py	Fix inference feature mismatch with training metadata	2026-02-18 23:53:38 +01:00