Marko Djordjevic f850728d44 fix(api): add GET /api/charts/[id] and fix batch prediction ... - Add GET handler to /api/charts/[id] route to fetch chart metadata - Fix batch prediction to use regular /predict endpoint with database candles - Remove /predict/batch usage (was designed for file-based predictions) - Make volume field optional in CandleData model (database candles don't have volume) - Convert timestamps to ISO dates for batch requests Known issue: TA-Lib indicators failing with 'input array type is not double' - May need to ensure candle data is float64/double type before processing		2026-02-15 21:49:22 +01:00
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__pycache__	fix(api): add GET /api/charts/[id] and fix batch prediction	2026-02-15 21:49:22 +01:00
__init__.py	feat(ml): add database schema, config parser, and DVC setup	2026-02-15 12:08:53 +01:00
annotation_ingestion.py	fix(ml): parse datetime column and fix TA-Lib pattern names	2026-02-15 21:13:20 +01:00
config.py	feat(ml): add database schema, config parser, and DVC setup	2026-02-15 12:08:53 +01:00
db.py	fix(ml): complete ML pipeline fixes and setup	2026-02-15 21:29:54 +01:00
main.py	fix(api): add GET /api/charts/[id] and fix batch prediction	2026-02-15 21:49:22 +01:00
preprocessing.py	feat(ml): implement FastAPI inference service with model loading, preprocessing, and prediction endpoints	2026-02-15 14:29:07 +01:00