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/health.py

@@ -0,0 +1,35 @@
+from typing import Any, List
+from fastapi import APIRouter, Depends, HTTPException
+from sqlmodel import Session, select
+from app.api import deps
+from app.models.health import HealthMetric
+from pydantic import BaseModel
+
+router = APIRouter()
+
+class HealthMetricCreate(BaseModel):
+    metric_type: str
+    value: float
+    unit: str
+    user_id: int # TODO: remove when auth is fully integrated
+
+@router.post("/", response_model=HealthMetric)
+def create_metric(
+    *,
+    session: Session = Depends(deps.get_session),
+    metric_in: HealthMetricCreate,
+) -> Any:
+    metric = HealthMetric(metric_type=metric_in.metric_type, value=metric_in.value, unit=metric_in.unit, user_id=metric_in.user_id)
+    session.add(metric)
+    session.commit()
+    session.refresh(metric)
+    return metric
+
+@router.get("/{user_id}", response_model=List[HealthMetric])
+def read_metrics(
+    user_id: int,
+    session: Session = Depends(deps.get_session),
+) -> Any:
+    statement = select(HealthMetric).where(HealthMetric.user_id == user_id)
+    metrics = session.exec(statement).all()
+    return metrics