#!/usr/bin/env python3
import argparse
from pathlib import Path
from datetime import datetime

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("--data-dir", type=Path, required=True)
    parser.add_argument("--output-dir", type=Path, required=True)
    parser.add_argument("--model-path", type=Path, default=Path("/models/Wan2.2-TI2V-5B"))
    parser.add_argument("--lora-rank", type=int, default=16)
    parser.add_argument("--epochs", type=int, default=1)
    parser.add_argument("--learning-rate", type=float, default=2e-5)
    args = parser.parse_args()
    
    print(f"Starting Wan2.2 LoRA training...")
    print(f"Data: {args.data_dir}")
    print(f"Output: {args.output_dir}")
    print(f"Model: {args.model_path}")
    print(f"LoRA rank: {args.lora_rank}")
    print(f"Epochs: {args.epochs}")
    
    # Import DiffSynth and start training
    try:
        from diffsynth import ModelManager, WanVideoPipeline
        print("✓ DiffSynth imported successfully")
        
        # Load model
        print("Loading Wan2.2 model...")
        model_manager = ModelManager()
        model_manager.load_model(args.model_path)
        
        # Setup pipeline
        pipe = WanVideoPipeline.from_model_manager(model_manager)
        
        # Load training data
        print("Loading training data...")
        with open(args.data_dir / "diffsynth_metadata.jsonl") as f:
            training_data = [json.loads(line) for line in f]
        
        print(f"Loaded {len(training_data)} training samples")
        
        # Training loop would go here
        print("Training not yet implemented - this is a package template")
        print("Upload this package to a cloud GPU provider with DiffSynth installed")
        
    except ImportError as e:
        print(f"ERROR: DiffSynth not available: {e}")
        print("Install with: pip install diffsynth-studio")
        return 1
    
    return 0

if __name__ == "__main__":
    import sys
    sys.exit(main())