"""
Video Processing Utility for Drowsiness Detection
This script provides a more robust video processing interface
"""

import cv2 as cv
import os
import json
from datetime import datetime
import argparse

def get_video_info(video_path):
    """Get detailed video information"""
    cap = cv.VideoCapture(video_path)
    
    if not cap.isOpened():
        return None
    
    info = {
        'fps': cap.get(cv.CAP_PROP_FPS),
        'width': int(cap.get(cv.CAP_PROP_FRAME_WIDTH)),
        'height': int(cap.get(cv.CAP_PROP_FRAME_HEIGHT)),
        'total_frames': int(cap.get(cv.CAP_PROP_FRAME_COUNT)),
        'duration': cap.get(cv.CAP_PROP_FRAME_COUNT) / cap.get(cv.CAP_PROP_FPS) if cap.get(cv.CAP_PROP_FPS) > 0 else 0,
        'codec': int(cap.get(cv.CAP_PROP_FOURCC)),
        'file_size': os.path.getsize(video_path)
    }
    
    cap.release()
    return info

def create_processing_report(input_path, output_path, stats):
    """Create a JSON report of the processing results"""
    report = {
        'timestamp': datetime.now().isoformat(),
        'input_file': input_path,
        'output_file': output_path,
        'video_info': get_video_info(input_path),
        'detection_stats': stats,
        'processing_info': {
            'software': 'Drowsiness Detection System',
            'version': '1.0'
        }
    }
    
    report_path = output_path.replace('.mp4', '_report.json')
    with open(report_path, 'w') as f:
        json.dump(report, f, indent=2)
    
    return report_path

def process_video_with_progress(input_path, output_path, progress_callback=None):
    """
    Process video with progress callback
    progress_callback: function that takes (current_frame, total_frames)
    """
    # Import the drowsiness detection functions
    from drowsiness_detection import process_frame, reset_counters
    from drowsiness_detection import DROWSY_COUNTER, YAWN_COUNTER, HEAD_DOWN_COUNTER
    
    reset_counters()
    
    # Open video file
    video_stream = cv.VideoCapture(input_path)
    
    if not video_stream.isOpened():
        raise ValueError(f"Could not open video file {input_path}")
    
    # Get video properties
    fps = int(video_stream.get(cv.CAP_PROP_FPS))
    width = int(video_stream.get(cv.CAP_PROP_FRAME_WIDTH))
    height = int(video_stream.get(cv.CAP_PROP_FRAME_HEIGHT))
    total_frames = int(video_stream.get(cv.CAP_PROP_FRAME_COUNT))
    
    # Setup video writer
    fourcc = cv.VideoWriter_fourcc(*'mp4v')
    video_writer = cv.VideoWriter(output_path, fourcc, fps, (640, 480))
    
    frame_count = 0
    
    try:
        while True:
            ret, frame = video_stream.read()
            if not ret:
                break
            
            frame_count += 1
            
            # Process frame
            processed_frame = process_frame(frame)
            
            # Write frame to output video
            video_writer.write(processed_frame)
            
            # Call progress callback if provided
            if progress_callback:
                progress_callback(frame_count, total_frames)
        
        # Get final stats
        stats = {
            'total_frames': frame_count,
            'drowsy_events': DROWSY_COUNTER,
            'yawn_events': YAWN_COUNTER,
            'head_down_events': HEAD_DOWN_COUNTER
        }
        
        return stats
        
    finally:
        video_stream.release()
        video_writer.release()

def main():
    parser = argparse.ArgumentParser(description='Video Processing Utility for Drowsiness Detection')
    parser.add_argument('--input', '-i', required=True, help='Input video file path')
    parser.add_argument('--output', '-o', help='Output video file path (optional)')
    parser.add_argument('--report', '-r', action='store_true', help='Generate processing report')
    parser.add_argument('--info', action='store_true', help='Show video information only')
    
    args = parser.parse_args()
    
    if not os.path.exists(args.input):
        print(f"Error: Input file {args.input} does not exist")
        return
    
    # Show video info
    if args.info:
        info = get_video_info(args.input)
        if info:
            print(f"Video Information for: {args.input}")
            print(f"Resolution: {info['width']}x{info['height']}")
            print(f"FPS: {info['fps']:.2f}")
            print(f"Duration: {info['duration']:.2f} seconds")
            print(f"Total Frames: {info['total_frames']}")
            print(f"File Size: {info['file_size'] / (1024*1024):.2f} MB")
        else:
            print("Error: Could not read video file")
        return
    
    # Generate output path if not provided
    if not args.output:
        base_name