candle-annotator/services/ml/app
Marko Djordjevic d1557a3846 fix: resolve numpy type conversion issues in ML service data access
- Convert numpy.int64 to Python int before passing to SQLAlchemy queries
- Prevents psycopg2.ProgrammingError: can't adapt type 'numpy.int64'
- Applied to get_candles(), get_span_annotations(), and get_point_annotations()
- All ML service database access tests now passing successfully
2026-02-17 14:10:21 +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 feat: add Python migration script and successfully test SQLite to PostgreSQL data migration 2026-02-17 14:01:21 +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: resolve numpy type conversion issues in ML service data access 2026-02-17 14:10:21 +01:00
db.py fix(ml): complete ML pipeline fixes and setup 2026-02-15 21:29:54 +01:00
main.py fix(ml): extract class labels from model when metadata is missing 2026-02-15 22:18:16 +01:00
preprocessing.py fix(ml): add windowed feature flattening for inference parity 2026-02-15 22:07:06 +01:00