candle-annotator/services/ml/app
Marko Djordjevic 3d8672121e feat: add run_id format validation to GET /training/runs/{run_id} endpoint
- Add new GET endpoint for retrieving a specific training run by run_id
- Validate run_id format with regex pattern ^[a-zA-Z0-9_-]+$ before DB access
- Return HTTP 400 for invalid run_id format, HTTP 404 for non-existent runs
- Ensure DELETE endpoint validation is correctly placed before any DB access
- Both endpoints now provide consistent security validation
- Mark task 5.8 as completed

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-18 11:33:12 +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 security: remove credential SQL comments and add DATABASE_URL fail-fast check 2026-02-18 10:56:49 +01:00
main.py feat: add run_id format validation to GET /training/runs/{run_id} endpoint 2026-02-18 11:33:12 +01:00
patterns.py feat: add FastAPI pattern detection endpoints (Section 1) 2026-02-17 18:34:14 +01:00
preprocessing.py fix(ml): add windowed feature flattening for inference parity 2026-02-15 22:07:06 +01:00