Bill 5e5354e2af feat(worker): integrate data preparation into run() method ...

Call _prepare_data before executing trades:
- Download missing data if needed
- Filter completed dates
- Store warnings
- Handle empty date scenarios

Co-Authored-By: Claude <noreply@anthropic.com>

2025-11-01 23:49:24 -04:00

..

__init__.py

feat: transform to REST API service with SQLite persistence (v0.3.0)

2025-10-31 11:47:10 -04:00

database.py

fix: add migration logic for warnings column and update tests

2025-11-01 23:17:25 -04:00

date_utils.py

feat: implement date range API and on-demand downloads (WIP phase 2)

2025-10-31 16:40:50 -04:00

job_manager.py

feat(api): add JobManager.add_job_warnings method

2025-11-01 23:20:50 -04:00

main.py

feat(api): add warnings field to response models

2025-11-01 23:25:03 -04:00

model_day_executor.py

feat: transform to REST API service with SQLite persistence (v0.3.0)

2025-10-31 11:47:10 -04:00

models.py

feat: transform to REST API service with SQLite persistence (v0.3.0)

2025-10-31 11:47:10 -04:00

price_data_manager.py

test: add comprehensive test suite for v0.3.0 on-demand price downloads

2025-10-31 17:13:03 -04:00

runtime_manager.py

feat: transform to REST API service with SQLite persistence (v0.3.0)

2025-10-31 11:47:10 -04:00

simulation_worker.py

feat(worker): integrate data preparation into run() method

2025-11-01 23:49:24 -04:00