| from pathlib import Path |
| from app.database import Base, engine, SessionLocal |
| from app.repository import list_objects, latest_runs |
| from app.scripts.seed_synthetic import main as seed_main |
| from app.scripts.train_baseline import run_training |
| from app.services import scoring_cycle, demo_objects |
| def bootstrap_if_needed(): |
| Base.metadata.create_all(bind=engine); model_path=Path(__file__).resolve().parents[2]/"models"/"baseline_model.joblib" |
| db=SessionLocal() |
| try: has_objects=bool(list_objects(db,5)) |
| finally: db.close() |
| if not has_objects: seed_main() |
| if not model_path.exists(): run_training() |
| db=SessionLocal() |
| try: |
| if not latest_runs(db,1): scoring_cycle(db, demo_objects(db), source="bootstrap-demo") |
| finally: db.close() |
| if __name__=="__main__": bootstrap_if_needed() |
|
|
