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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.
44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
from typing import Generator
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from sqlmodel import Session
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from app.db import engine
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from typing import Generator, Annotated
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from sqlmodel import Session, select
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from fastapi import Depends, HTTPException, status
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from fastapi.security import OAuth2PasswordBearer
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from jose import jwt, JWTError
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from pydantic import ValidationError
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from app.db import engine
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from app.models.user import User
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from app.core import security
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from app.config import settings
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from app.schemas.token import TokenPayload
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oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/v1/login/access-token")
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def get_session() -> Generator[Session, None, None]:
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with Session(engine) as session:
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yield session
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SessionDep = Annotated[Session, Depends(get_session)]
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TokenDep = Annotated[str, Depends(oauth2_scheme)]
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def get_current_user(session: SessionDep, token: TokenDep) -> User:
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try:
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payload = jwt.decode(
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token, settings.SECRET_KEY, algorithms=[security.ALGORITHM]
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)
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token_data = TokenPayload(**payload)
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except (JWTError, ValidationError):
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raise HTTPException(
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status_code=status.HTTP_403_FORBIDDEN,
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detail="Could not validate credentials",
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)
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user = session.get(User, int(token_data.sub))
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if not user:
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raise HTTPException(status_code=404, detail="User not found")
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return user
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CurrentUser = Annotated[User, Depends(get_current_user)]
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