import sys
import os
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import logging

# Add curdir to path
sys.path.append(os.getcwd())

from src.models.activity import Activity
from src.services.sync.activity import GarminActivitySync

# Configure logging to see the output from the service
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Using localhost:5433 as per docker-compose port mapping
DATABASE_URL = "postgresql://postgres:password@localhost:5433/fitbit_garmin_sync"

def verify_fix(garmin_id):
    print(f"Connecting to DB: {DATABASE_URL}")
    try:
        engine = create_engine(DATABASE_URL)
        Session = sessionmaker(bind=engine)
        session = Session()
    except Exception as e:
        print(f"Failed to connect to DB: {e}")
        return

    try:
        activity = session.query(Activity).filter(Activity.garmin_activity_id == garmin_id).first()
        if not activity:
            print(f"Activity {garmin_id} not found in DB.")
            return

        print(f"Before Backfill:")
        print(f"  Distance: {activity.distance}")
        print(f"  Avg Power: {activity.avg_power}")
        print(f"  Max Power: {activity.max_power}")
        print(f"  Avg Cadence: {activity.avg_cadence}")

        # Instantiate Sync Service with dummy client (not needed for this method)
        sync_service = GarminActivitySync(session, None)
        
        # Run Backfill
        print("\nRunning _backfill_metrics_from_file...")
        sync_service._backfill_metrics_from_file(activity)
        
        # Check results (pending commit)
        print(f"\nAfter Backfill (InMemory):")
        print(f"  Distance: {activity.distance}")
        print(f"  Avg Power: {activity.avg_power}")
        print(f"  Max Power: {activity.max_power}")
        print(f"  Avg Cadence: {activity.avg_cadence}")
        
        if activity.distance is not None and activity.avg_power is not None:
            print("\nSUCCESS: Metrics were populated.")
            
            print("\nExtended Metrics Check:")
            print(f"  Pedal Smoothness (L/R): {activity.avg_left_pedal_smoothness} / {activity.avg_right_pedal_smoothness}")
            print(f"  Torque Effectiveness (L/R): {activity.avg_left_torque_effectiveness} / {activity.avg_right_torque_effectiveness}")
            print(f"  Grit/Flow: {activity.grit} / {activity.flow}")
            print(f"  Total Work: {activity.total_work}")
            print(f"  Respiration Rate (Avg/Max): {activity.avg_respiration_rate} / {activity.max_respiration_rate}")
            
            print("\nStandard Metrics Check:")
            print(f"  Max HR: {activity.max_hr}")
            print(f"  Max Speed: {activity.max_speed}")
            print(f"  Elevation Gain/Loss: {activity.elevation_gain} / {activity.elevation_loss}")
            print(f"  Training Effect (Aerobic/Anaerobic): {activity.aerobic_te} / {activity.anaerobic_te}")
            print(f"  TSS: {activity.tss}")
            print(f"  Normalized Power: {activity.norm_power}")
            
            # Commit to save changes
            session.commit()
            print("Changes committed to DB.")
        else:
            print("\nFAILURE: Metrics were NOT populated.")

    except Exception as e:
        print(f"Error: {e}")
    finally:
        session.close()

if __name__ == "__main__":
    verify_fix("21517046364")