"""
Labasni VTO Service - Hugging Face Space
✅ Compatible avec Gradio Client pour WebSocket temps réel
"""

import gradio as gr
import json
import base64
from vto_model import process_frame_vto

def vto_api(frame_base64: str, clothes_json: str):
    """
    API endpoint pour le Virtual Try-On
    ✅ CORRIGÉ : Accepte directement le base64
    
    Args:
        frame_base64: Image encodée en base64 (STRING)
        clothes_json: JSON des vêtements à essayer
    
    Returns:
        JSON string avec {success: true, frame: "base64..."}
    """
    try:
        print(f"🔍 VTO Request received")
        print(f"   Frame length: {len(frame_base64)} chars")
        print(f"   Clothes JSON length: {len(clothes_json)} chars")
        
        # Parser le JSON des vêtements
        clothes_data = json.loads(clothes_json)
        print(f"   ✅ Parsed {len(clothes_data)} clothing item(s)")
        
        # Appeler le modèle VTO
        result = process_frame_vto(frame_base64, clothes_data)
        
        print(f"   ✅ VTO processing: {result.get('success', False)}")
        
        # Retourner en JSON string (pour Gradio Client)
        return json.dumps(result, ensure_ascii=False)
        
    except json.JSONDecodeError as e:
        error_response = {
            "success": False,
            "error": f"Invalid JSON: {str(e)}"
        }
        print(f"   ❌ JSON Error: {str(e)}")
        return json.dumps(error_response)
        
    except Exception as e:
        error_response = {
            "success": False,
            "error": str(e)
        }
        print(f"   ❌ Error: {str(e)}")
        return json.dumps(error_response)

# ✅ Interface Gradio (pour tests manuels ET Gradio Client)
demo = gr.Interface(
    fn=vto_api,
    inputs=[
        gr.Textbox(
            label="Frame (Base64)",
            placeholder="data:image/jpeg;base64,/9j/4AAQ...",
            lines=3,
            max_lines=5
        ),
        gr.Textbox(
            label="Clothes to Try (JSON)",
            placeholder='[{"imageURL":"https://...","category":"top"}]',
            lines=5,
            value='[{"imageURL":"https://res.cloudinary.com/dechk1ohr/image/upload/v1765128119/istockphoto-483960103-612x612-removebg-preview_fnh1r4.png","category":"top"}]'
        )
    ],
    outputs=gr.Textbox(
        label="VTO Result (JSON)",
        lines=10
    ),
    title="👕 Labasni Virtual Try-On",
    description="Essayez des vêtements virtuellement avec MediaPipe + OpenCV",
    examples=[
        [
            "",  # Laissez vide pour test manuel
            '[{"imageURL":"https://res.cloudinary.com/dechk1ohr/image/upload/v1765128119/istockphoto-483960103-612x612-removebg-preview_fnh1r4.png","category":"top"}]'
        ]
    ],
    api_name="predict",
    cache_examples=False
)

if __name__ == "__main__":
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=False
    )