Add initial project

backend/models/workout_session.py

@@ -0,0 +1,48 @@
+"""WorkoutSession SQLAlchemy model."""
+from sqlalchemy import Column, Integer, String, Float, DateTime, ForeignKey
+from sqlalchemy.orm import relationship
+from backend.database import Base
+
+
+# Zepp activity type mapping
+ZEPP_ACTIVITY_TYPES = {
+    1: "Running",
+    6: "Walking",
+    8: "Cycling",
+    10: "Elliptical",
+    16: "Free Training",
+    23: "HIIT",
+    52: "Stretching",
+    60: "Yoga",
+}
+
+
+class WorkoutSession(Base):
+    """Workout data model."""
+    __tablename__ = "workout_sessions"
+
+    id = Column(Integer, primary_key=True, index=True)
+    user_id = Column(Integer, ForeignKey("users.id"))
+    start_time = Column(DateTime, index=True)
+    end_time = Column(DateTime)
+    activity_type = Column(String)  # Human readable name
+    activity_type_id = Column(Integer, nullable=True)  # Original Zepp type ID
+    duration_seconds = Column(Integer, default=0)
+    distance_meters = Column(Float, default=0.0)
+    calories = Column(Float, default=0.0)
+    avg_pace = Column(Float, nullable=True)  # seconds per meter
+    max_pace = Column(Float, nullable=True)
+    min_pace = Column(Float, nullable=True)
+    avg_hr = Column(Integer, nullable=True)
+    max_hr = Column(Integer, nullable=True)
+    min_hr = Column(Integer, nullable=True)
+    notes = Column(String, nullable=True)
+    
+    # Data provenance tracking
+    data_source = Column(String(50), default="health_connect")  # "health_connect", "manual"
+
+    user = relationship("User", back_populates="workouts")
+
+    @staticmethod
+    def get_activity_name(type_id: int) -> str:
+        return ZEPP_ACTIVITY_TYPES.get(type_id, f"Activity {type_id}")