"""
Async video processor with WebSocket support for real-time updates
"""

import asyncio
import json
import time
from typing import Dict, Optional
from fastapi import WebSocket, WebSocketDisconnect
from fastapi.responses import StreamingResponse
import cv2
import numpy as np
from video_processor import VideoProcessor
from model_manager import model_manager
import tempfile
import os
from pathlib import Path

class AsyncVideoProcessor:
    def __init__(self):
        self.active_connections: Dict[str, WebSocket] = {}
        self.processing_jobs: Dict[str, Dict] = {}
        
        # Wait for models to be ready before creating processor
        if not model_manager.wait_for_models(timeout=30):
            print("Warning: Models not ready, using fallback mode")
        
        self.processor = VideoProcessor(
            processing_resolution=(1280, 720),
            upscale_factor=1.5,
            enable_depth_caching=True,
            chunk_duration=10,
            max_workers=4
        )
    
    async def connect(self, websocket: WebSocket, job_id: str):
        """Connect a WebSocket for real-time updates"""
        await websocket.accept()
        self.active_connections[job_id] = websocket
    
    def disconnect(self, job_id: str):
        """Disconnect a WebSocket"""
        if job_id in self.active_connections:
            del self.active_connections[job_id]
    
    async def send_progress(self, job_id: str, progress: float, message: str):
        """Send progress update to connected client"""
        if job_id in self.active_connections:
            try:
                await self.active_connections[job_id].send_text(
                    json.dumps({
                        "type": "progress",
                        "progress": progress,
                        "message": message,
                        "timestamp": time.time()
                    })
                )
            except:
                self.disconnect(job_id)
    
    async def send_error(self, job_id: str, error: str):
        """Send error message to connected client"""
        if job_id in self.active_connections:
            try:
                await self.active_connections[job_id].send_text(
                    json.dumps({
                        "type": "error",
                        "error": error,
                        "timestamp": time.time()
                    })
                )
            except:
                self.disconnect(job_id)
    
    async def send_completion(self, job_id: str, result: Dict):
        """Send completion message to connected client"""
        if job_id in self.active_connections:
            try:
                await self.active_connections[job_id].send_text(
                    json.dumps({
                        "type": "complete",
                        "result": result,
                        "timestamp": time.time()
                    })
                )
            except:
                self.disconnect(job_id)
    
    async def process_video_async(self, input_path: str, output_path: str, job_id: str):
        """Process video asynchronously with real-time updates"""
        try:
            # Update job status
            self.processing_jobs[job_id] = {
                "status": "processing",
                "start_time": time.time(),
                "input_path": input_path,
                "output_path": output_path
            }
            
            await self.send_progress(0.0, "Starting video processing...")
            
            # Process video with progress callback
            def progress_callback(progress: float, desc: str = ""):
                asyncio.create_task(self.send_progress(job_id, progress, desc))
            
            result = self.processor.process_video(
                input_path, 
                output_path, 
                progress_callback=progress_callback
            )
            
            if result['success']:
                self.processing_jobs[job_id]["status"] = "completed"
                self.processing_jobs[job_id]["end_time"] = time.time()
                await self.send_completion(job_id, result)
            else:
                self.processing_jobs[job_id]["status"] = "failed"
                await self.send_error(job_id, result.get('error', 'Unknown error'))
                
        except Exception as e:
            self.processing_jobs[job_id]["status"] = "failed"
            await self.send_error(job_id, str(e))
        finally:
            # Clean up after 5 minutes
            asyncio.create_task(self._cleanup_job(job_id, 300))
    
    async def _cleanup_job(self, job_id: str, delay: int):
        """Clean up job data after delay"""
        await asyncio.sleep(delay)
        if job_id in self.processing_jobs:
            del self.processing_jobs[job_id]
        self.disconnect(job_id)
    
    def get_job_status(self, job_id: str) -> Optional[Dict]:
        """Get current job status"""
        return self.processing_jobs.get(job_id)
    
    def generate_thumbnail(self, video_path: str, timestamp: float = 0.0) -> str:
        """Generate thumbnail for video preview"""
        try:
            import moviepy.editor as mp
            
            video = mp.VideoFileClip(video_path)
            frame = video.get_frame(timestamp)
            video.close()
            
            # Convert to PIL Image and save
            from PIL import Image
            pil_image = Image.fromarray(frame)
            
            # Create thumbnails directory
            thumb_dir = Path("thumbnails")
            thumb_dir.mkdir(exist_ok=True)
            
            # Generate thumbnail filename
            video_name = Path(video_path).stem
            thumb_path = thumb_dir / f"{video_name}_thumb.jpg"
            
            # Resize and save
            pil_image.thumbnail((320, 180), Image.Resampling.LANCZOS)
            pil_image.save(thumb_path, "JPEG", quality=85)
            
            return str(thumb_path)
            
        except Exception as e:
            print(f"Error generating thumbnail: {e}")
            return None
    
    def get_video_info(self, video_path: str) -> Dict:
        """Get video metadata"""
        try:
            import moviepy.editor as mp
            
            video = mp.VideoFileClip(video_path)
            info = {
                "duration": video.duration,
                "fps": video.fps,
                "size": video.size,
                "width": video.w,
                "height": video.h,
                "file_size": os.path.getsize(video_path)
            }
            video.close()
            
            return info
            
        except Exception as e:
            return {"error": str(e)}

# Global instance
async_processor = AsyncVideoProcessor()