- Add build_dataset_from_db() that exports candles from DB, runs feature engineering, and ingests span annotations into labeled CSV - Call it automatically in _run_training_background before training starts - Add POST /training/build-dataset endpoint for standalone use - Add Next.js proxy route /api/training/build-dataset - Update TrainingPanel: remove dataset-missing block on Start Training, show informational message that dataset builds automatically |
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|---|---|---|
| .. | ||
| .dvc | ||
| app | ||
| candle_ml.egg-info | ||
| config | ||
| features | ||
| migrations | ||
| mlruns | ||
| models | ||
| training | ||
| .dvcignore | ||
| Dockerfile | ||
| generate_talib_annotations.py | ||
| pipeline.py | ||
| pyproject.toml | ||
| talib_annotations.json | ||
| test_db_access.py | ||
| uv.lock | ||