trentuna/candle-annotator
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4 commits

Author SHA1 Message Date
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
Marko Djordjevic
d42b4827ca code-review-fix task 14.3: remove dead inference package reference from pyproject.toml 2026-02-18 20:48:10 +01:00
Marko Djordjevic
ea339a54a7 feat(ml): add database schema, config parser, and DVC setup 
- Initialize DVC with local storage backend (task 1.6)
- Create PostgreSQL schema for training_runs table (task 1.7)
- Add SQLAlchemy database connection setup (task 1.8)
- Create Pydantic config models for pipeline.yaml (task 2.1)
- Add migration runner for database setup
- Fix pyproject.toml package discovery config
 2026-02-15 12:08:53 +01:00
Marko Djordjevic
1a653c5866 feat: add ML service scaffolding with Python FastAPI, Docker, and MLflow setup 2026-02-15 11:58:31 +01:00