import os
import csv
import yt_dlp as youtube_dl
import cv2
from moviepy.editor import VideoFileClip

def download_and_extract_frames(csv_file, output_base_folder='video_frames'):
    # Create base output folder if it doesn't exist
    os.makedirs(output_base_folder, exist_ok=True)
    
    # Read the CSV file
    with open(csv_file, 'r') as file:
        csv_reader = csv.reader(file)
        # Skip header if exists
        next(csv_reader, None)
        
        # Process each video
        for row in csv_reader:
            try:
                video_name, video_link = row
                
                # Sanitize video name for folder creation
                safe_video_name = ''.join(c if c.isalnum() or c in ['-', '_'] else '_' for c in video_name)
                
                # Setup download options
                ydl_opts = {
                    'outtmpl': f'./{safe_video_name}.%(ext)s',
                    'format': 'bestvideo+bestaudio/best',
                    'no_color': True,  # Disable color output
                    'no_warnings': True  # Suppress warnings
                }
                
                # Download video
                with youtube_dl.YoutubeDL(ydl_opts) as ydl:
                    ydl.download([video_link])
                
                # Find the downloaded video file
                downloaded_files = os.listdir('.')
                video_files = [f for f in downloaded_files if f.startswith(safe_video_name) and 
                               (f.endswith('.mp4') or f.endswith('.webm') or f.endswith('.mkv'))]
                
                if not video_files:
                    print(f"Error: No video file found for {video_name}")
                    continue
                
                # Create folder for frames
                frame_folder = os.path.join(output_base_folder, safe_video_name)
                os.makedirs(frame_folder, exist_ok=True)
                
                # Process each downloaded video file
                for video_file in video_files:
                    # Extract frames
                    video = cv2.VideoCapture(video_file)
                    frame_count = 0
                    
                    while True:
                        ret, frame = video.read()
                        if not ret:
                            break
                        
                        # Save frame
                        frame_path = os.path.join(frame_folder, f'frame_{frame_count:04d}.jpg')
                        cv2.imwrite(frame_path, frame)
                        frame_count += 1
                    
                    # Release video capture
                    video.release()
                    
                    print(f"Processed {video_name} from {video_file}: {frame_count} frames extracted")
            
            except Exception as e:
                print(f"Error processing {video_name}: {str(e)}")
                # Continue to next video if one fails
                continue

# Usage
if __name__ == "__main__":
    download_and_extract_frames('videos.csv')