Initial project scaffolding for health tracker app

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.

backend/app/api/v1/endpoints/nutrition.py

@@ -0,0 +1,54 @@
+from typing import Any
+from fastapi import APIRouter, Depends, HTTPException
+from pydantic import BaseModel
+from sqlmodel import Session
+from app.api import deps
+from app.ai.nutrition import nutrition_module, NutritionalInfo
+from app.core.security import create_access_token # Just ensuring we have auth imports if needed later
+from app.models.user import User
+
+router = APIRouter()
+
+class AnalyzeRequest(BaseModel):
+    description: str
+
+from app.models.food import FoodLog, FoodItem
+from app.api.deps import get_session
+from app.core.security import get_password_hash # Not needed
+from app.config import settings
+
+@router.post("/analyze", response_model=NutritionalInfo)
+def analyze_food(
+    request: AnalyzeRequest,
+) -> Any:
+    """
+    Analyze food description and return nutritional info using DSPy.
+    """
+    try:
+        result = nutrition_module(description=request.description)
+        return result.nutritional_info
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@router.post("/log", response_model=FoodLog)
+def log_food(
+    *,
+    session: Session = Depends(deps.get_session),
+    nutrition_info: NutritionalInfo,
+    current_user: deps.CurrentUser,
+) -> Any:
+    """
+    Save food log to database.
+    """
+    food_log = FoodLog(
+        user_id=current_user.id,
+        name=nutrition_info.name,
+        calories=nutrition_info.calories,
+        protein=nutrition_info.protein,
+        carbs=nutrition_info.carbs,
+        fats=nutrition_info.fats,
+    )
+    session.add(food_log)
+    session.commit()
+    session.refresh(food_log)
+    return food_log