Add supplements, kettlebell, calendar, push notifications, and PWA support

- Supplement tracking: CRUD endpoints, /today, /logs, Supplements page
- Kettlebell workouts: session tracking, analytics endpoint, ActiveSession page
- Calendar module: events CRUD, calendar components
- Push notifications: VAPID keys, PushSubscription model, APScheduler reminders,
  service worker with push/notificationclick handlers, Profile notifications UI
- PWA: vite-plugin-pwa, manifest, icons, service worker generation
- Frontend: TypeScript types, API modules, ConfirmModal, toast notifications
- Auth fixes: password hashing, nutrition endpoint auth
- CLAUDE.md: project documentation and development guide

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

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

@@ -1,9 +1,11 @@
+from datetime import date as date_type
+from datetime import datetime
 from typing import Any
 
 import litellm
-from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile
+from fastapi import APIRouter, Depends, File, Form, HTTPException, Query, UploadFile
 from pydantic import BaseModel
-from sqlmodel import Session
+from sqlmodel import Session, select
 
 from app.ai.nutrition import NutritionalInfo, analyze_nutrition_from_image, nutrition_module
 from app.api import deps
@@ -16,9 +18,18 @@ class AnalyzeRequest(BaseModel):
     description: str
 
 
+class FoodLogCreate(BaseModel):
+    name: str
+    calories: float
+    protein: float
+    carbs: float
+    fats: float
+
+
 @router.post("/analyze", response_model=NutritionalInfo)
 def analyze_food(
     request: AnalyzeRequest,
+    current_user: deps.CurrentUser,
 ) -> Any:
     """
     Analyze food description and return nutritional info using DSPy.
@@ -32,6 +43,7 @@ def analyze_food(
 
 @router.post("/analyze/image", response_model=NutritionalInfo)
 async def analyze_food_image(
+    current_user: deps.CurrentUser,
     file: UploadFile = File(...),
     description: str = Form(""),
 ) -> Any:
@@ -51,7 +63,7 @@ async def analyze_food_image(
 def log_food(
     *,
     session: Session = Depends(deps.get_session),
-    nutrition_info: NutritionalInfo,
+    nutrition_info: FoodLogCreate,
     current_user: deps.CurrentUser,
 ) -> Any:
     """
@@ -81,8 +93,6 @@ def read_logs(
     """
     Get food logs for current user.
     """
-    from sqlmodel import select
-
     statement = (
         select(FoodLog)
         .where(FoodLog.user_id == current_user.id)
@@ -91,3 +101,55 @@ def read_logs(
         .limit(limit)
     )
     return session.exec(statement).all()
+
+
+class NutritionSummary(BaseModel):
+    date: str
+    total_calories: float
+    total_protein: float
+    total_carbs: float
+    total_fats: float
+    log_count: int
+    target_calories: float | None
+    target_protein: float | None
+    target_carbs: float | None
+    target_fat: float | None
+
+
+@router.get("/summary", response_model=NutritionSummary)
+def get_nutrition_summary(
+    current_user: deps.CurrentUser,
+    session: Session = Depends(deps.get_session),
+    date: str = Query(default=None, description="Date in YYYY-MM-DD format, defaults to today"),
+) -> Any:
+    """
+    Get aggregated macro totals for a given day.
+    """
+    if date:
+        target_date = datetime.strptime(date, "%Y-%m-%d").date()
+    else:
+        target_date = date_type.today()
+
+    start = datetime(target_date.year, target_date.month, target_date.day, 0, 0, 0)
+    end = datetime(target_date.year, target_date.month, target_date.day, 23, 59, 59)
+
+    statement = (
+        select(FoodLog)
+        .where(FoodLog.user_id == current_user.id)
+        .where(FoodLog.timestamp >= start)
+        .where(FoodLog.timestamp <= end)
+    )
+    logs = session.exec(statement).all()
+
+    return NutritionSummary(
+        date=target_date.isoformat(),
+        total_calories=sum(log.calories for log in logs),
+        total_protein=sum(log.protein for log in logs),
+        total_carbs=sum(log.carbs for log in logs),
+        total_fats=sum(log.fats for log in logs),
+        log_count=len(logs),
+        target_calories=getattr(current_user, "target_calories", None),
+        target_protein=getattr(current_user, "target_protein", None),
+        target_carbs=getattr(current_user, "target_carbs", None),
+        target_fat=getattr(current_user, "target_fat", None),
+    )