Initial commit: full fitness-rewards app

Backend: FastAPI + PostgreSQL + SQLAlchemy async
- Auth (JWT), onboarding (PAR-Q+, TTM, BREQ-2), activities, food log
- Points engine with daily gate + weekly targets
- Strava + Polar OAuth integration
- Open Food Facts barcode lookup
- Resource recommendation engine
- 10 seeded Darebee/StrongLifts/YouTube programs

Frontend: React + Vite, mobile-first dark theme
- Login/Register, 8-step onboarding flow
- Dashboard with daily gate status
- Activity logger, food logger (manual + barcode scan + search)
- Reward shop with redemption
- Weekly summary view
- Settings (point rules, targets, integrations)

Deployment: Docker Compose for Coolify (Traefik)

backend/app/models/points.py

@@ -0,0 +1,52 @@
+import uuid
+from datetime import datetime, timezone
+from sqlalchemy import String, Integer, Boolean, DateTime, ForeignKey
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+from sqlalchemy.dialects.postgresql import UUID
+from app.database import Base
+
+
+class PointRule(Base):
+    __tablename__ = "point_rules"
+
+    id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    user_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("users.id"), nullable=False)
+    category: Mapped[str] = mapped_column(String(50), nullable=False)
+    description: Mapped[str] = mapped_column(String(200), nullable=False)
+    points: Mapped[int] = mapped_column(Integer, nullable=False)
+    unit: Mapped[str | None] = mapped_column(String(20))
+    is_active: Mapped[bool] = mapped_column(Boolean, default=True)
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))
+
+    user: Mapped["User"] = relationship(back_populates="point_rules")
+
+
+class DailyTarget(Base):
+    __tablename__ = "daily_targets"
+
+    id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    user_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("users.id"), nullable=False, unique=True)
+    daily_minimum_pts: Mapped[int] = mapped_column(Integer, default=80)
+    weekly_target_pts: Mapped[int] = mapped_column(Integer, default=500)
+    weekly_bonus_pts: Mapped[int] = mapped_column(Integer, default=50)
+    is_active: Mapped[bool] = mapped_column(Boolean, default=True)
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))
+
+
+# Default rules to create per user
+DEFAULT_POINT_RULES = [
+    {"category": "workout", "description": "Complete a workout", "points": 50, "unit": "per_completion"},
+    {"category": "food_log", "description": "Log all meals for the day", "points": 30, "unit": "per_day"},
+    {"category": "steps_target", "description": "Hit daily step/activity goal", "points": 20, "unit": "per_day"},
+    {"category": "screen_free", "description": "Screen-free activity", "points": 20, "unit": "per_hour"},
+    {"category": "daily_checkin", "description": "Complete daily check-in", "points": 10, "unit": "per_day"},
+]
+
+# Suggested targets by TTM stage
+TTM_DAILY_TARGETS = {
+    "precontemplation": {"daily_minimum_pts": 30, "weekly_target_pts": 150},
+    "contemplation": {"daily_minimum_pts": 50, "weekly_target_pts": 250},
+    "preparation": {"daily_minimum_pts": 80, "weekly_target_pts": 400},
+    "action": {"daily_minimum_pts": 100, "weekly_target_pts": 600},
+    "maintenance": {"daily_minimum_pts": 120, "weekly_target_pts": 700},
+}