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Set up backend and frontend structure for a health and fitness tracker using Python (FastAPI, SQLModel, DSPy) and React. Includes Docker and Compose configs, authentication, nutrition AI module, health/nutrition/user endpoints, database models, and basic frontend with routing and context. Enables tracking nutrition, health metrics, and user management, with architecture ready for future mobile and cloud deployment.
15 lines
405 B
Python
15 lines
405 B
Python
from sqlmodel import SQLModel, create_engine, Session, text
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from app.config import settings
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engine = create_engine(settings.DATABASE_URL)
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def get_session():
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with Session(engine) as session:
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yield session
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def init_db():
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with Session(engine) as session:
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session.exec(text("CREATE EXTENSION IF NOT EXISTS vector"))
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session.commit()
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SQLModel.metadata.create_all(engine)
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