YouTube_predownloader/main.py

import os
import time
import datetime
from datetime import datetime, time as dt_time
import pickle
import threading
import queue
import logging
import logging.handlers
import glob
import json
from concurrent.futures import ThreadPoolExecutor
from googleapiclient.discovery import build
import subprocess
from google.auth.transport.requests import Request
import sys
from auth import get_token, get_token_non_interactive, get_service_account_token

# Home Assistant Integration
try:
    from homeassistant_integration import (
        init_homeassistant_integration, 
        update_homeassistant_stats, 
        stop_homeassistant_integration,
        set_service_waiting,
        set_service_running,
        set_service_completed,
        set_service_error
    )
    HOMEASSISTANT_ENABLED = True
    print("🏠 Home Assistant integration available")
except ImportError:
    HOMEASSISTANT_ENABLED = False
    print("⚠️ Home Assistant integration not available (install paho-mqtt and psutil)")
    
    # Dummy functions if Home Assistant is not available
    def set_service_waiting(next_run): pass
    def set_service_running(): pass
    def set_service_completed(): pass
    def set_service_error(): pass
    
    # Dummy functions if not available
    def init_homeassistant_integration(*args, **kwargs): return None
    def update_homeassistant_stats(*args, **kwargs): pass
    def stop_homeassistant_integration(*args, **kwargs): pass

# Constants
OUTPUT_DIR = "/media/media/YouTube"  # Change this to your Emby folder
DAYS_BACK = 5  # Videos published in the last 5 days
DAYS_TO_KEEP = 10  # Delete videos older than 10 days
TOKEN_FILE = "youtube_token.pickle"  # Token file from the OAuth script
COOKIES_FILE = "youtube_cookies.txt"  # YouTube cookies file for authentication
EXIT_TIME = dt_time(6, 0)  # Exit the script at 06:00
POPULAR_VIDEOS_MAX_RESULTS = 10  # Number of popular videos to fetch (you can change this)
REGION_CODES = ["US", "GB", "LU", "LK"]  # Regions to fetch popular videos from

# Helper function to build yt-dlp commands with cookies
def build_yt_dlp_command(base_args, url=None):
    """Build a yt-dlp command with cookies if available."""
    command = ["yt-dlp"] + base_args
    
    # Add cookies if file exists
    if os.path.exists(COOKIES_FILE):
        command.extend(["--cookies", COOKIES_FILE])
        # Log cookies usage at debug level to avoid spam
        logging.getLogger(__name__).debug(f"Using cookies file: {COOKIES_FILE}")
    else:
        logging.getLogger(__name__).debug(f"Cookies file not found: {COOKIES_FILE}")
    
    # Add URL if provided
    if url:
        command.append(url)
    
    return command

# Logging Configuration
LOG_DIR = "logs"
LOG_FILE = "youtube_predownloader.log"
LOG_LEVEL = logging.INFO
LOG_MAX_SIZE = 50 * 1024 * 1024  # 50MB per log file
LOG_BACKUP_COUNT = 5  # Keep 5 backup files
LOG_RETENTION_DAYS = 10  # Delete logs older than 10 days

# Conversion Queue Settings
MAX_CONCURRENT_CONVERSIONS = 2  # Maximum number of simultaneous video conversions
CONVERSION_QUEUE_SIZE = 50       # Maximum items in conversion queue

def setup_logging():
    """Set up comprehensive logging with file rotation and cleanup."""
    # Create logs directory if it doesn't exist
    if not os.path.exists(LOG_DIR):
        os.makedirs(LOG_DIR)
    
    # Clean up old log files first
    cleanup_old_logs()
    
    # Create logger
    logger = logging.getLogger()
    logger.setLevel(LOG_LEVEL)
    
    # Clear any existing handlers
    for handler in logger.handlers[:]:
        logger.removeHandler(handler)
    
    # Create formatters
    detailed_formatter = logging.Formatter(
        '%(asctime)s - %(name)s - %(levelname)s - [%(filename)s:%(lineno)d] - %(message)s',
        datefmt='%Y-%m-%d %H:%M:%S'
    )
    
    console_formatter = logging.Formatter(
        '%(asctime)s - %(levelname)s - %(message)s',
        datefmt='%H:%M:%S'
    )
    
    # File handler with rotation
    log_file_path = os.path.join(LOG_DIR, LOG_FILE)
    file_handler = logging.handlers.RotatingFileHandler(
        log_file_path,
        maxBytes=LOG_MAX_SIZE,
        backupCount=LOG_BACKUP_COUNT,
        encoding='utf-8'
    )
    file_handler.setLevel(logging.DEBUG)  # Log everything to file
    file_handler.setFormatter(detailed_formatter)
    
    # Console handler (less verbose)
    console_handler = logging.StreamHandler(sys.stdout)
    console_handler.setLevel(LOG_LEVEL)
    console_handler.setFormatter(console_formatter)
    
    # Add handlers to logger
    logger.addHandler(file_handler)
    logger.addHandler(console_handler)
    
    # Log startup information
    logger.info("=" * 80)
    logger.info("YouTube Predownloader Starting")
    logger.info("=" * 80)
    logger.info(f"Log file: {log_file_path}")
    logger.info(f"Log level: {logging.getLevelName(LOG_LEVEL)}")
    logger.info(f"Output directory: {OUTPUT_DIR}")
    logger.info(f"Days back to fetch: {DAYS_BACK}")
    logger.info(f"Days to keep videos: {DAYS_TO_KEEP}")
    logger.info(f"Log retention days: {LOG_RETENTION_DAYS}")
    
    return logger

def cleanup_old_logs():
    """Remove log files older than LOG_RETENTION_DAYS."""
    try:
        cutoff_time = time.time() - (LOG_RETENTION_DAYS * 86400)
        log_pattern = os.path.join(LOG_DIR, "*.log*")
        
        deleted_count = 0
        for log_file in glob.glob(log_pattern):
            try:
                if os.path.getmtime(log_file) < cutoff_time:
                    os.remove(log_file)
                    deleted_count += 1
                    print(f"Deleted old log file: {log_file}")
            except (OSError, IOError) as e:
                print(f"Failed to delete log file {log_file}: {e}")
        
        if deleted_count > 0:
            print(f"Cleaned up {deleted_count} old log files")
    
    except Exception as e:
        print(f"Error during log cleanup: {e}")

def log_system_info():
    """Log system and environment information."""
    logger = logging.getLogger(__name__)
    
    try:
        # Log Python and system info
        import platform
        import psutil
        
        logger.info("System Information:")
        logger.info(f"  Python version: {platform.python_version()}")
        logger.info(f"  Platform: {platform.platform()}")
        logger.info(f"  CPU count: {os.cpu_count()}")
        
        # Memory info
        memory = psutil.virtual_memory()
        logger.info(f"  Total memory: {memory.total // (1024**3):.1f} GB")
        logger.info(f"  Available memory: {memory.available // (1024**3):.1f} GB")
        
        # Disk space for output directory
        if os.path.exists(OUTPUT_DIR):
            disk_usage = psutil.disk_usage(OUTPUT_DIR)
            logger.info(f"  Output disk free: {disk_usage.free // (1024**3):.1f} GB")
        
        # Check required tools
        tools = [
            ('yt-dlp', ['yt-dlp', '--version']),
            ('ffmpeg', ['ffmpeg', '-version']),
            ('ffprobe', ['ffprobe', '-version'])
        ]
        
        for tool_name, cmd in tools:
            try:
                result = subprocess.run(cmd, capture_output=True, text=True, timeout=10)
                if result.returncode == 0:
                    version_line = result.stdout.split('\n')[0] if result.stdout else "unknown"
                    logger.info(f"  {tool_name}: {version_line}")
                else:
                    logger.warning(f"  {tool_name}: Not found or error")
            except (subprocess.TimeoutExpired, subprocess.SubprocessError, FileNotFoundError):
                logger.error(f"  {tool_name}: Not available")
    
    except Exception as e:
        logger.error(f"Error collecting system info: {e}")

# Initialize logging at module level
logger = setup_logging()
log_system_info()

# FFmpeg/FFprobe paths
FFPROBE_PATH = "/usr/bin/ffprobe"
FFMPEG_PATH = "/usr/bin/ffmpeg"

# Global conversion queue and executor
conversion_queue = queue.Queue(maxsize=CONVERSION_QUEUE_SIZE)
conversion_executor = ThreadPoolExecutor(max_workers=MAX_CONCURRENT_CONVERSIONS, thread_name_prefix="VideoConverter")

# Progress tracking
download_stats = {
    'total_videos': 0,
    'completed_videos': 0,
    'current_video': '',
    'download_speed': 0,
    'active_downloads': 0
}

conversion_stats = {
    'active_conversions': 0,
    'completed_conversions': 0,
    'current_conversion': '',
    'conversion_progress': 0
}

def update_yt_dlp():
    """Update yt-dlp to the latest version."""
    logger = logging.getLogger(__name__)
    logger.info("Updating yt-dlp to the latest version...")
    try:
        result = subprocess.run(["pip", "install", "--upgrade", "yt-dlp"], 
                              capture_output=True, text=True, check=True)
        logger.info("yt-dlp updated successfully!")
        logger.debug(f"yt-dlp update output: {result.stdout}")
    except subprocess.CalledProcessError as e:
        logger.error(f"Failed to update yt-dlp: {e}")
        logger.debug(f"yt-dlp update error: {e.stderr}")
        raise

def authenticate_youtube_api():
    """Authenticate using our enhanced auth system (tries non-interactive first)."""
    logger = logging.getLogger(__name__)
    logger.info("Attempting non-interactive authentication...")
    
    # Try non-interactive authentication first
    creds = get_token_non_interactive()
    
    if not creds:
        logger.error("Non-interactive authentication failed.")
        logger.info("You need to run: python3 auth.py --interactive")
        logger.info("Or set up service account authentication.")
        raise Exception("Authentication failed. No valid credentials available.")
    
    logger.info("Authentication successful!")
    
    # Build the YouTube API client
    youtube = build("youtube", "v3", credentials=creds)
    logger.debug("YouTube API client created successfully")
    return youtube

def authenticate_with_token():
    """Legacy function - kept for compatibility but redirects to new auth system."""
    return authenticate_youtube_api()

def get_subscribed_channels(youtube):
    """Fetch the list of subscribed channels."""
    logger = logging.getLogger(__name__)
    logger.info("Fetching subscribed channels...")
    
    channels = []
    request = youtube.subscriptions().list(
        part="snippet",
        mine=True,
        maxResults=50
    )
    page_count = 0
    while request:
        page_count += 1
        logger.debug(f"Fetching subscriptions page {page_count}")
        
        response = request.execute()
        page_channels = len(response["items"])
        logger.debug(f"Found {page_channels} channels on page {page_count}")
        
        for item in response["items"]:
            channel_id = item["snippet"]["resourceId"]["channelId"]
            channel_title = item["snippet"]["title"]
            channels.append(channel_id)
            logger.debug(f"Added channel: {channel_title} ({channel_id})")
        
        request = youtube.subscriptions().list_next(request, response)
    
    logger.info(f"Found {len(channels)} subscribed channels")
    return channels

def get_recent_videos(youtube, channel_id):
    """Fetch videos from a channel published in the last `DAYS_BACK` days."""
    logger = logging.getLogger(__name__)
    recent_videos = []
    published_after = (datetime.datetime.now() - datetime.timedelta(days=DAYS_BACK)).isoformat("T") + "Z"
    
    try:
        request = youtube.search().list(
            part="snippet",
            channelId=channel_id,
            publishedAfter=published_after,
            maxResults=50,
            type="video",
            order="date"
        )
        response = request.execute()
        
        for item in response["items"]:
            video_data = {
                "video_id": item["id"]["videoId"],
                "title": item["snippet"]["title"],
                "description": item["snippet"]["description"],
                "published_at": item["snippet"]["publishedAt"],
                "channel_title": item["snippet"]["channelTitle"]
            }
            recent_videos.append(video_data)
            logger.debug(f"Found recent video: {video_data['title']} from {video_data['channel_title']}")
        
        logger.debug(f"Found {len(recent_videos)} recent videos from channel {channel_id}")
        
    except Exception as e:
        logger.error(f"Error fetching recent videos from channel {channel_id}: {e}")
    
    return recent_videos

def get_popular_videos(youtube, region_code):
    """Fetch the most popular videos for a given region."""
    logger = logging.getLogger(__name__)
    popular_videos = []
    
    try:
        logger.debug(f"Fetching popular videos for region: {region_code}")
        request = youtube.videos().list(
            part="snippet,statistics",
            chart="mostPopular",
            regionCode=region_code,  # Region code passed here
            maxResults=POPULAR_VIDEOS_MAX_RESULTS
        )
        response = request.execute()
        
        for item in response["items"]:
            video_data = {
                "video_id": item["id"],
                "title": item["snippet"]["title"],
                "description": item["snippet"]["description"],
                "published_at": item["snippet"]["publishedAt"],
                "channel_title": item["snippet"]["channelTitle"]
            }
            popular_videos.append(video_data)
            logger.debug(f"Found popular video ({region_code}): {video_data['title']} from {video_data['channel_title']}")
        
        logger.info(f"Found {len(popular_videos)} popular videos from region {region_code}")
        
    except Exception as e:
        logger.error(f"Error fetching popular videos from region {region_code}: {e}")
    
    return popular_videos

def list_available_formats(video_id):
    """List available formats for a video (for debugging)."""
    logger = logging.getLogger(__name__)
    
    try:
        command = build_yt_dlp_command(["--list-formats"], f"https://www.youtube.com/watch?v={video_id}")
        
        result = subprocess.run(command, capture_output=True, text=True, timeout=30)
        if result.returncode == 0:
            logger.debug(f"Available formats for {video_id}:")
            for line in result.stdout.split('\n'):
                if 'mp4' in line or 'webm' in line or '2160p' in line or '1440p' in line or '1080p' in line:
                    logger.debug(f"  {line.strip()}")
        else:
            logger.warning(f"Could not list formats for {video_id}: {result.stderr}")
    except Exception as e:
        logger.warning(f"Error listing formats for {video_id}: {e}")

def download_video(video_id, output_path, video_title="Unknown"):
    """Download a YouTube video with quality priority - downloads 4K VP9/AV1 if needed for conversion."""
    global download_stats
    logger = logging.getLogger(__name__)
    
    try:
        # Update stats
        download_stats['active_downloads'] += 1
        download_stats['current_video'] = video_title[:50] + "..." if len(video_title) > 50 else video_title
        
        logger.info(f"Starting download: {video_title} (ID: {video_id})")
        logger.debug(f"Download path: {output_path}")
        
        # First, check what format would be downloaded to determine compatibility
        logger.debug(f"Checking video format compatibility for: {video_title}")
        
        simulate_command = build_yt_dlp_command([
            "--simulate", "--print", "%(format_id)s|%(vcodec)s|%(height)s|%(ext)s",
            "-f", "(bestvideo[height>=2160][vcodec~='^(avc|h264|hevc|h265)']+bestaudio)/(bestvideo[height>=2160]+bestaudio)/(bestvideo[height>=1440]+bestaudio)/(bestvideo[height>=1080]+bestaudio)/best"
        ], f"https://www.youtube.com/watch?v={video_id}")
        
        will_be_compatible = True
        predicted_codec = "unknown"
        predicted_height = 0
        temp_filename = None
        final_filename = None
        
        try:
            sim_result = subprocess.run(simulate_command, capture_output=True, text=True, timeout=30)
            if sim_result.returncode == 0 and sim_result.stdout.strip():
                format_info = sim_result.stdout.strip().split('|')
                if len(format_info) >= 3:
                    predicted_codec = format_info[1] if format_info[1] != 'none' else 'unknown'
                    predicted_height = int(format_info[2]) if format_info[2].isdigit() else 0
                    
                    # Check if the predicted codec is Apple TV incompatible
                    if any(incompatible in predicted_codec.lower() for incompatible in ['vp9', 'av01', 'av1']):
                        will_be_compatible = False
                        # Create temporary filename for incompatible formats
                        sanitized_title = sanitize_filename(video_title)
                        temp_filename = f"{sanitized_title}.incompatible"
                        final_filename = f"{sanitized_title}"
                        logger.info(f"⚠️ Incompatible codec detected: {predicted_codec} - downloading as temporary file")
                        logger.info(f"   Temporary: {temp_filename}")
                        logger.info(f"   Final: {final_filename}")
                    else:
                        logger.info(f"✅ Compatible codec detected: {predicted_codec}")
        except Exception as e:
            logger.debug(f"Could not simulate download format: {e}")
        
        # Set output filename based on compatibility prediction
        if temp_filename:
            output_template = os.path.join(output_path, f"{temp_filename}.%(ext)s")
        else:
            output_template = os.path.join(output_path, "%(title)s.%(ext)s")
        
        # List available formats for debugging (only in debug mode)
        if logger.isEnabledFor(logging.DEBUG):
            list_available_formats(video_id)
        
        # Update Home Assistant
        update_homeassistant_stats(
            download_queue=download_stats['total_videos'] - download_stats['completed_videos'],
            conversion_queue=conversion_queue.qsize(),
            download_progress=round((download_stats['completed_videos'] / max(download_stats['total_videos'], 1)) * 100, 1),
            active_downloads=download_stats['active_downloads'],
            active_conversions=conversion_stats['active_conversions']
        )
        
        # 4K-prioritized approach: Try Apple TV compatible 4K first, then any 4K, then lower resolutions
        command = build_yt_dlp_command([
            "-f", "(bestvideo[height>=2160][vcodec~='^(avc|h264|hevc|h265)']+bestaudio)/(bestvideo[height>=2160]+bestaudio)/(bestvideo[height>=1440]+bestaudio)/(bestvideo[height>=1080]+bestaudio)/best",
            "--merge-output-format", "mp4",
            "--no-mtime",
            "--newline",  # Better for parsing progress
            "--verbose" if logger.isEnabledFor(logging.DEBUG) else "--no-warnings",
            "--write-info-json",  # Write metadata for analysis
            "-o", output_template
        ], f"https://www.youtube.com/watch?v={video_id}")
        
        logger.debug(f"yt-dlp command: {' '.join(command)}")
        
        try:
            start_time = time.time()
            logging.info(f"Starting download with command: {' '.join(command)}")
            
            # Add progress hook for yt-dlp progress tracking
            command.extend(["--progress-template", "download:%(progress._percent_str)s %(progress._eta_str)s %(progress._speed_str)s"])
            
            # Start download with progress monitoring
            process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1, universal_newlines=True)
            
            current_progress = 0
            while True:
                output = process.stdout.readline()
                if output == '' and process.poll() is not None:
                    break
                    
                if output:
                    output = output.strip()
                    logging.debug(f"yt-dlp output: {output}")
                    
                    # Parse progress from yt-dlp output
                    if "%" in output and "ETA" in output:
                        try:
                            # Extract percentage from progress line
                            parts = output.split()
                            for part in parts:
                                if "%" in part:
                                    progress_str = part.replace("%", "")
                                    if progress_str.replace(".", "").isdigit():
                                        new_progress = float(progress_str)
                                        if abs(new_progress - current_progress) >= 5:  # Update every 5%
                                            current_progress = new_progress
                                            
                                            # Update Home Assistant with current progress
                                            update_homeassistant_stats(
                                                download_queue=download_stats['total_videos'] - download_stats['completed_videos'],
                                                conversion_queue=conversion_queue.qsize(),
                                                download_progress=round((download_stats['completed_videos'] / max(download_stats['total_videos'], 1)) * 100, 1),
                                                active_downloads=download_stats['active_downloads'],
                                                active_conversions=conversion_stats['active_conversions'],
                                                current_download_progress=current_progress,
                                                current_download_file=video_title[:50]
                                            )
                                            logger.info(f"Download progress: {current_progress:.1f}% - {video_title}")
                                        break
                        except (ValueError, IndexError):
                            pass
            
            # Wait for process to complete
            process.wait()
            end_time = time.time()
            
            if process.returncode != 0:
                stderr_output = process.stderr.read()
                logging.error(f"yt-dlp failed with return code {process.returncode}: {stderr_output}")
                raise subprocess.CalledProcessError(process.returncode, command, stderr=stderr_output)
            
            download_time = end_time - start_time
            logger.info(f"Download completed in {download_time:.1f}s: {video_title}")
            
            # Clear current download progress
            update_homeassistant_stats(
                download_queue=download_stats['total_videos'] - download_stats['completed_videos'],
                conversion_queue=conversion_queue.qsize(),
                download_progress=round((download_stats['completed_videos'] / max(download_stats['total_videos'], 1)) * 100, 1),
                active_downloads=download_stats['active_downloads'],
                active_conversions=conversion_stats['active_conversions'],
                current_download_progress=100,
                current_download_file=""
            )
            
            # Analyze what was actually downloaded and check Apple TV compatibility
            try:
                downloaded_files = [f for f in os.listdir(output_path) if f.endswith(('.mp4', '.mkv', '.webm', '.m4v'))]
                if downloaded_files:
                    for file in downloaded_files:
                        file_path = os.path.join(output_path, file)
                        try:
                            # Get video info
                            probe_cmd = [FFPROBE_PATH, "-v", "quiet", "-print_format", "json", 
                                       "-show_streams", file_path]
                            probe_result = subprocess.run(probe_cmd, capture_output=True, text=True, check=True)
                            video_info = json.loads(probe_result.stdout)
                            
                            # Find video stream
                            video_stream = next((s for s in video_info['streams'] if s['codec_type'] == 'video'), None)
                            if video_stream:
                                height = video_stream.get('height', 'unknown')
                                width = video_stream.get('width', 'unknown')
                                codec = video_stream.get('codec_name', 'unknown')
                                bitrate = video_stream.get('bit_rate', 'unknown')
                                fps = video_stream.get('r_frame_rate', 'unknown')
                                
                                quality_label = "Unknown"
                                if height >= 2160:
                                    quality_label = "4K"
                                elif height >= 1440:
                                    quality_label = "1440p"
                                elif height >= 1080:
                                    quality_label = "1080p"
                                elif height >= 720:
                                    quality_label = "720p"
                                
                                logger.info(f"Downloaded quality: {quality_label} ({width}x{height}), codec: {codec}, fps: {fps}")
                                if bitrate != 'unknown':
                                    bitrate_mbps = int(bitrate) / 1000000 if bitrate.isdigit() else 'unknown'
                                    logger.info(f"Video bitrate: {bitrate_mbps:.1f} Mbps")
                                
                                # Log file size
                                file_size = os.path.getsize(file_path)
                                file_size_mb = file_size / (1024 * 1024)
                                logger.info(f"Downloaded file size: {file_size_mb:.1f} MB")
                                
                                # Check if this is a temporary incompatible file
                                is_temp_file = ".incompatible." in file
                                
                                # Check Apple TV compatibility and queue for conversion if needed
                                needs_conversion = False
                                conversion_reason = ""
                                target_filename = None
                                
                                if is_temp_file:
                                    # This was downloaded as incompatible - definitely needs conversion
                                    needs_conversion = True
                                    conversion_reason = f"Pre-identified incompatible format ({codec})"
                                    # Set target filename (remove .incompatible from the name but keep extension)
                                    base_name, ext = os.path.splitext(file)
                                    if ".incompatible" in base_name:
                                        clean_base = base_name.replace(".incompatible", "")
                                        target_filename = f"{clean_base}{ext}"
                                    else:
                                        target_filename = file
                                    target_path = os.path.join(output_path, target_filename)
                                    logger.info(f"🔄 Temporary incompatible file detected - will convert to: {target_filename}")
                                else:
                                    # Regular compatibility check for files downloaded with standard names
                                    if any(incompatible in codec.lower() for incompatible in ['vp9', 'av01', 'av1']):
                                        needs_conversion = True
                                        conversion_reason = f"Incompatible codec ({codec}) for Apple TV"
                                    elif not file.endswith('.mp4'):
                                        needs_conversion = True
                                        conversion_reason = f"Incompatible container ({file.split('.')[-1]}) for Apple TV"
                                    elif height >= 2160 and not any(compatible in codec.lower() for compatible in ['h264', 'avc1', 'hevc', 'h265']):
                                        needs_conversion = True
                                        conversion_reason = f"4K video with non-Apple TV codec ({codec})"
                                
                                if needs_conversion:
                                    logger.info(f"Queuing for conversion: {conversion_reason}")
                                    # Determine priority based on video resolution
                                    priority = 2 if height >= 2160 else 1  # 4K gets higher priority
                                    
                                    # Add to conversion queue with target filename if specified
                                    if target_filename:
                                        add_to_conversion_queue_with_target(file_path, target_path, priority)
                                        logger.info(f"📋 Queued: {file} → {target_filename}")
                                    else:
                                        add_to_conversion_queue(file_path, priority)
                                        logger.info(f"📋 Queued: {file}")
                                    
                                    print_queue_status()
                                else:
                                    logger.info(f"✅ File is Apple TV compatible: {codec} in MP4 container")
                                
                        except Exception as e:
                            logger.debug(f"Could not analyze downloaded file {file}: {e}")
            except Exception as e:
                logger.debug(f"Could not analyze downloaded files: {e}")
                
        except subprocess.CalledProcessError as e:
            download_stats['active_downloads'] -= 1
            logger.error(f"Download failed for {video_title} (ID: {video_id}): {e}")
            logger.debug(f"yt-dlp error output: {e.stderr}")
            return False
        except Exception as e:
            download_stats['active_downloads'] -= 1
            logger.error(f"Unexpected error downloading {video_title} (ID: {video_id}): {e}")
        # Update completed count
        download_stats['completed_videos'] += 1
        download_stats['active_downloads'] -= 1
        return True
        
        # Update Home Assistant with completion
        update_homeassistant_stats(
            download_queue=download_stats['total_videos'] - download_stats['completed_videos'],
            download_progress=round((download_stats['completed_videos'] / max(download_stats['total_videos'], 1)) * 100, 1),
            active_downloads=download_stats['active_downloads']
        )
        
        return True
        
    except subprocess.CalledProcessError as e:
        download_stats['active_downloads'] -= 1
        logger.error(f"Download failed for {video_title} (ID: {video_id}): {e}")
        logger.debug(f"yt-dlp error output: {e.stderr}")
        return False
    except Exception as e:
        download_stats['active_downloads'] -= 1
        logger.error(f"Unexpected error downloading {video_title} (ID: {video_id}): {e}")
        return False

def add_to_conversion_queue(input_file, priority=1):
    """Add a video file to the conversion queue with priority."""
    logger = logging.getLogger(__name__)
    
    try:
        # Higher number = higher priority (4K gets priority 2, others get 1)
        conversion_queue.put((priority, input_file), timeout=1)
        logger.info(f"Added to conversion queue: {os.path.basename(input_file)} (priority: {priority})")
        logger.debug(f"Queue size after addition: {conversion_queue.qsize()}")
        return True
    except queue.Full:
        logger.warning(f"Conversion queue is full! Skipping: {os.path.basename(input_file)}")
        return False
    except Exception as e:
        logger.error(f"Error adding to conversion queue: {e}")
        return False

def add_to_conversion_queue_with_target(input_file, target_file, priority=1):
    """Add a video file to the conversion queue with a specific target filename."""
    logger = logging.getLogger(__name__)
    
    try:
        # Higher number = higher priority (4K gets priority 2, others get 1)
        # Store as tuple: (priority, input_file, target_file)
        conversion_queue.put((priority, input_file, target_file), timeout=1)
        logger.info(f"Added to conversion queue: {os.path.basename(input_file)} → {os.path.basename(target_file)} (priority: {priority})")
        logger.debug(f"Queue size after addition: {conversion_queue.qsize()}")
        return True
    except queue.Full:
        logger.warning(f"Conversion queue is full! Skipping: {os.path.basename(input_file)}")
        return False
    except Exception as e:
        logger.error(f"Error adding to conversion queue: {e}")
        return False

def get_queue_status():
    """Get current conversion queue status."""
    queue_size = conversion_queue.qsize()
    active_conversions = conversion_executor._threads  # Active thread count
    return {
        'queued': queue_size,
        'active': len(active_conversions) if active_conversions else 0,
        'max_concurrent': MAX_CONCURRENT_CONVERSIONS
    }

def print_queue_status():
    """Print current queue status."""
    logger = logging.getLogger(__name__)
    status = get_queue_status()
    logger.info(f"Conversion Status: {status['active']}/{status['max_concurrent']} active, {status['queued']} queued")

def process_conversion_queue():
    """Background worker to process the conversion queue."""
    logger = logging.getLogger(__name__)
    logger.info("Conversion queue worker started")
    
    while True:
        try:
            # Get item from queue (blocks until available)
            queue_item = conversion_queue.get(timeout=30)
            
            # Handle both old format (priority, input_file) and new format (priority, input_file, target_file)
            if len(queue_item) == 2:
                priority, input_file = queue_item
                target_file = None
            elif len(queue_item) == 3:
                priority, input_file, target_file = queue_item
            else:
                logger.error(f"Invalid queue item format: {queue_item}")
                conversion_queue.task_done()
                continue
            
            # Check if file still exists
            if not os.path.exists(input_file):
                logger.warning(f"File no longer exists, skipping conversion: {input_file}")
                conversion_queue.task_done()
                continue
            
            if target_file:
                logger.info(f"Starting conversion (priority {priority}): {os.path.basename(input_file)} → {os.path.basename(target_file)}")
                # Perform the conversion with target filename
                success = convert_to_apple_tv_compatible_with_target(input_file, target_file)
            else:
                logger.info(f"Starting conversion (priority {priority}): {os.path.basename(input_file)}")
                # Perform the conversion with standard naming
                success = convert_to_apple_tv_compatible(input_file)
            
            if success:
                logger.info(f"Conversion completed successfully: {os.path.basename(input_file)}")
            else:
                logger.error(f"Conversion failed: {os.path.basename(input_file)}")
            
            # Mark task as done
            conversion_queue.task_done()
            
        except queue.Empty:
            # No items in queue for 30 seconds, continue waiting
            logger.debug("Conversion queue empty, waiting for new items...")
            continue
        except Exception as e:
            logger.error(f"Conversion queue worker error: {e}")
            try:
                conversion_queue.task_done()
            except:
                pass

def sanitize_filename(filename):
    """Sanitize a filename to remove invalid characters."""
    import re
    # Remove invalid filename characters
    sanitized = re.sub(r'[<>:"/\\|?*]', '_', filename)
    # Remove extra spaces and limit length
    sanitized = ' '.join(sanitized.split())[:200]
    return sanitized

def test_vaapi_support():
    """Test if Intel VAAPI/QSV hardware acceleration is available for both encoding and decoding."""
    logger = logging.getLogger(__name__)
    
    try:
        # Test H.264 VAAPI encoding
        test_cmd = [FFMPEG_PATH, "-hide_banner", "-f", "lavfi", "-i", "testsrc=duration=1:size=320x240:rate=1", 
                   "-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload",
                   "-c:v", "h264_vaapi", "-frames:v", "1", "-f", "null", "-"]
        result = subprocess.run(test_cmd, capture_output=True, text=True, timeout=10)
        h264_vaapi_available = result.returncode == 0
        
        # Test HEVC VAAPI encoding (optional, may not work on all Intel GPUs)
        test_cmd = [FFMPEG_PATH, "-hide_banner", "-f", "lavfi", "-i", "testsrc=duration=1:size=320x240:rate=1", 
                   "-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload",
                   "-c:v", "hevc_vaapi", "-frames:v", "1", "-f", "null", "-"]
        result = subprocess.run(test_cmd, capture_output=True, text=True, timeout=10)
        hevc_vaapi_available = result.returncode == 0
        
        # Test H.264 VAAPI decoding - create a small test file and try to decode it
        h264_decode_available = False
        try:
            # Create a small test H.264 file
            create_test_cmd = [FFMPEG_PATH, "-hide_banner", "-f", "lavfi", "-i", "testsrc=duration=1:size=320x240:rate=1", 
                              "-c:v", "libx264", "-frames:v", "5", "-f", "mp4", "/tmp/vaapi_test.mp4"]
            subprocess.run(create_test_cmd, capture_output=True, text=True, timeout=10, check=True)
            
            # Test hardware decoding
            decode_test_cmd = [FFMPEG_PATH, "-hide_banner", "-hwaccel", "vaapi", "-hwaccel_device", "/dev/dri/renderD128",
                              "-i", "/tmp/vaapi_test.mp4", "-f", "null", "-"]
            result = subprocess.run(decode_test_cmd, capture_output=True, text=True, timeout=10)
            h264_decode_available = result.returncode == 0
            
            # Clean up test file
            try:
                os.remove("/tmp/vaapi_test.mp4")
            except:
                pass
        except:
            pass
        
        # Test VP9 VAAPI decoding capability (Intel HD Graphics 630 supports VP9 via VAAPI)
        vp9_vaapi_decode_available = False
        try:
            # Create a small VP9 test file
            create_vp9_cmd = [FFMPEG_PATH, "-hide_banner", "-f", "lavfi", "-i", "testsrc=duration=1:size=320x240:rate=1", 
                             "-c:v", "libvpx-vp9", "-frames:v", "5", "-f", "webm", "/tmp/vp9_test.webm"]
            result = subprocess.run(create_vp9_cmd, capture_output=True, text=True, timeout=15)
            
            if result.returncode == 0:
                # Test VP9 hardware decoding with VAAPI
                decode_vp9_cmd = [FFMPEG_PATH, "-hide_banner", "-hwaccel", "vaapi", "-hwaccel_device", "/dev/dri/renderD128",
                                 "-i", "/tmp/vp9_test.webm", "-f", "null", "-"]
                result = subprocess.run(decode_vp9_cmd, capture_output=True, text=True, timeout=10)
                vp9_vaapi_decode_available = result.returncode == 0
                
                # Clean up test file
                try:
                    os.remove("/tmp/vp9_test.webm")
                except:
                    pass
        except:
            pass
        
        # AV1 is not supported on Intel HD Graphics 630, so we'll skip it
        av1_decode_available = False
        
        # Log results with comprehensive hardware support info
        hw_support = []
        if h264_vaapi_available:
            hw_support.append("H.264 encode")
        if hevc_vaapi_available:
            hw_support.append("HEVC encode")
        if h264_decode_available:
            hw_support.append("H.264 decode")
        if vp9_vaapi_decode_available:
            hw_support.append("VP9 decode")
            
        if hw_support:
            logger.info(f"🚀 Intel hardware acceleration available: {', '.join(hw_support)}")
        else:
            logger.info("⚠️ Intel hardware acceleration not available, falling back to software encoding")
            
        return (h264_vaapi_available, hevc_vaapi_available, h264_decode_available, 
                av1_decode_available, vp9_vaapi_decode_available)
            
    except Exception as e:
        logger.warning(f"Could not test hardware acceleration support: {e}")
        return False, False, False, False, False

def convert_to_apple_tv_compatible(input_file):
    """Convert a video to Apple TV 4K compatible format with Intel VAAPI hardware acceleration."""
    global conversion_stats
    logger = logging.getLogger(__name__)
    
    base_name = os.path.splitext(input_file)[0]
    mp4_file = base_name + ".mp4"
    
    # If input is already MP4, use a temporary output file to avoid overwriting during conversion
    temp_output = None
    if input_file.lower().endswith('.mp4'):
        temp_output = base_name + "_converted.mp4"
        final_output = mp4_file
        mp4_file = temp_output
    else:
        final_output = mp4_file
    
    # Update conversion stats
    conversion_stats['active_conversions'] += 1
    conversion_stats['current_conversion'] = os.path.basename(input_file)
    
    logger.info(f"Converting {os.path.basename(input_file)} to Apple TV compatible format with GPU acceleration...")
    logger.debug(f"Input file: {input_file}")
    logger.debug(f"Output file: {mp4_file}")
    
    # Test VAAPI support
    vaapi_h264_available, vaapi_hevc_available, vaapi_decode_available, av1_decode_available, vp9_vaapi_decode_available = test_vaapi_support()
    
    # Update Home Assistant
    update_homeassistant_stats(
        conversion_queue=conversion_queue.qsize(),
        active_conversions=conversion_stats['active_conversions']
    )
    
    # Detect video properties to optimize conversion
    try:
        import json
        probe_cmd = [
            FFPROBE_PATH, "-v", "quiet", "-print_format", "json", 
            "-show_format", "-show_streams", input_file
        ]
        logger.debug(f"Probing video with command: {' '.join(probe_cmd)}")
        probe_result = subprocess.run(probe_cmd, capture_output=True, text=True, check=True)
        video_info = json.loads(probe_result.stdout)
        
        # Find video stream
        video_stream = next((s for s in video_info['streams'] if s['codec_type'] == 'video'), None)
        is_4k = video_stream and int(video_stream.get('height', 0)) >= 2160
        is_high_res = video_stream and int(video_stream.get('height', 0)) >= 1080
        input_codec = video_stream.get('codec_name', 'unknown').lower() if video_stream else 'unknown'
        
        if video_stream:
            height = video_stream.get('height', 'unknown')
            codec = video_stream.get('codec_name', 'unknown')
            bitrate = video_stream.get('bit_rate', 'unknown')
            logger.info(f"Video properties: {height}p, codec: {codec}, bitrate: {bitrate}")
        
    except (subprocess.CalledProcessError, json.JSONDecodeError, Exception) as e:
        logger.warning(f"Could not probe video properties: {e}, using default settings")
        is_4k = False
        is_high_res = True
        input_codec = 'unknown'
    
    # Intel VAAPI optimized encoding with hardware decoding based on source quality and hardware support:
    hwaccel_args = []
    filter_args = []
    
    # Determine optimal hardware decoding strategy based on input codec
    if input_codec == 'av1' and av1_decode_available:
        # AV1 is not supported on Intel HD Graphics 630, fallback to software
        filter_args = ["-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload"]
        logger.info(f"Using software decoding with GPU upload for AV1 input (no hardware AV1 support)")
    elif input_codec in ['vp9', 'vp09'] and vp9_vaapi_decode_available:
        # Use Intel VAAPI for VP9 hardware decoding 
        hwaccel_args = ["-hwaccel", "vaapi", "-hwaccel_device", "/dev/dri/renderD128"]
        filter_args = ["-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload"]
        logger.info(f"🚀 Using Intel VAAPI hardware decoding for VP9 input")
    elif input_codec in ['h264', 'avc'] and vaapi_decode_available:
        # Use Intel VAAPI for H.264 hardware decoding (decode + encode on same device)
        hwaccel_args = ["-hwaccel", "vaapi", "-hwaccel_device", "/dev/dri/renderD128"]
        filter_args = ["-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload"]
        logger.info(f"🚀 Using Intel VAAPI hardware decoding for H.264 input")
    else:
        # Fallback: CPU decode with GPU upload for compatibility
        filter_args = ["-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload"]
        logger.info(f"Using software decoding with GPU upload for {input_codec} input")
    
    if is_4k and vaapi_hevc_available:
        # 4K content with VAAPI HEVC: Use hardware-accelerated H.265
        codec_args = [
            *filter_args,
            "-c:v", "hevc_vaapi",                   # Intel VAAPI HEVC encoder
            "-qp", "20",                            # Quality parameter (lower = better)
            "-rc_mode", "CQP",                      # Constant Quality mode
        ]
        logger.info("🚀 Using Intel VAAPI HEVC hardware acceleration for 4K content")
    elif (is_4k or is_high_res) and vaapi_h264_available:
        # 4K/1080p content with VAAPI H.264: Use hardware-accelerated H.264
        quality = "20" if is_4k else "22"  # Slightly lower quality for 1080p
        codec_args = [
            *filter_args,
            "-c:v", "h264_vaapi",                   # Intel VAAPI H.264 encoder
            "-qp", quality,                         # Quality parameter
            "-rc_mode", "CQP",                      # Constant Quality mode
            "-profile:v", "high",                   # H.264 High Profile
        ]
        quality_label = "4K" if is_4k else "1080p"
        logger.info(f"🚀 Using Intel VAAPI H.264 hardware acceleration for {quality_label} content")
    elif is_4k:
        # 4K content without VAAPI: Fall back to software H.265
        codec_args = [
            "-c:v", "libx265",              # Software H.265 for 4K
            "-preset", "medium",            # Better compression for 4K
            "-crf", "20",                   # Higher quality for 4K content
            "-level", "5.1",                # Level 5.1 supports 4K
            "-pix_fmt", "yuv420p",          # Standard compatibility
        ]
        hwaccel_args = []  # No hardware acceleration
        logger.info("⚠️ Using software H.265 encoding for 4K content (VAAPI not available)")
    elif is_high_res:
        # 1080p content without VAAPI: Use software H.264
        codec_args = [
            "-c:v", "libx264",              # Software H.264 for 1080p
            "-profile:v", "high",           # High profile for better quality
            "-preset", "fast",              # Faster encoding for 1080p
            "-crf", "21",                   # Good quality for 1080p
            "-level", "4.1",                # Level 4.1 supports 1080p
        ]
        hwaccel_args = []  # No hardware acceleration
        logger.info("⚠️ Using software H.264 encoding for 1080p content (VAAPI not available)")
    else:
        # Lower resolution: Use software H.264 with faster settings
        codec_args = [
            "-c:v", "libx264",              # Software H.264 for lower res
            "-profile:v", "main",           # Main profile for lower res
            "-preset", "fast",              # Fast encoding
            "-crf", "23",                   # Standard quality
            "-level", "3.1",                # Level 3.1 for lower res
        ]
        hwaccel_args = []  # No hardware acceleration
        logger.info("Using software H.264 encoding for lower resolution content")
    
    # Add progress reporting to FFmpeg command
    command = [
        FFMPEG_PATH,
        *hwaccel_args,                  # Hardware acceleration args (decode)
        "-i", input_file,
        *codec_args,                    # Video codec args (encode + filters)
        "-c:a", "aac",                  # AAC audio codec
        "-b:a", "192k",                 # Higher audio bitrate for better quality
        "-movflags", "+faststart",      # Optimize for streaming/quick playback
        "-progress", "pipe:1",          # Output progress to stdout
        "-y",                           # Overwrite output file if exists
        mp4_file
    ]
    
    try:
        logger.debug(f"FFmpeg command: {' '.join(command)}")
        logger.info("Starting conversion... This may take a while for 4K content.")
        
        # Get total duration for progress calculation
        duration_cmd = [FFPROBE_PATH, "-v", "quiet", "-show_entries", "format=duration", "-of", "csv=p=0", input_file]
        try:
            duration_result = subprocess.run(duration_cmd, capture_output=True, text=True, check=True)
            total_duration = float(duration_result.stdout.strip())
        except:
            total_duration = 0
            logger.debug("Could not determine video duration for progress tracking")
        
        start_time = time.time()
        
        # Start FFmpeg with progress monitoring
        process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1, universal_newlines=True)
        
        current_conversion_progress = 0
        while True:
            output = process.stdout.readline()
            if output == '' and process.poll() is not None:
                break
                
            if output:
                output = output.strip()
                
                # Parse FFmpeg progress output
                if output.startswith("out_time_us=") and total_duration > 0:
                    try:
                        # Extract time in microseconds
                        time_us = int(output.split("=")[1])
                        current_time = time_us / 1000000  # Convert to seconds
                        progress = min(100, (current_time / total_duration) * 100)
                        
                        if abs(progress - current_conversion_progress) >= 5:  # Update every 5%
                            current_conversion_progress = progress
                            
                            # Update Home Assistant with conversion progress
                            update_homeassistant_stats(
                                conversion_queue=conversion_queue.qsize(),
                                active_conversions=conversion_stats['active_conversions'],
                                current_conversion_progress=current_conversion_progress,
                                current_conversion_file=os.path.basename(input_file)[:50]
                            )
                            logger.info(f"Conversion progress: {current_conversion_progress:.1f}% - {os.path.basename(input_file)}")
                    except (ValueError, IndexError):
                        pass
        
        # Wait for process to complete
        process.wait()
        end_time = time.time()
        
        if process.returncode != 0:
            stderr_output = process.stderr.read()
            logger.error(f"FFmpeg failed with return code {process.returncode}: {stderr_output}")
            raise subprocess.CalledProcessError(process.returncode, command, stderr=stderr_output)
        
        conversion_time = end_time - start_time
        logger.info(f"Conversion completed in {conversion_time:.1f}s: {mp4_file}")
        
        # Clear conversion progress
        update_homeassistant_stats(
            conversion_queue=conversion_queue.qsize(),
            active_conversions=conversion_stats['active_conversions'],
            current_conversion_progress=100,
            current_conversion_file=""
        )
        
        # Check if output file was created and has reasonable size
        if os.path.exists(mp4_file):
            input_size = os.path.getsize(input_file)
            output_size = os.path.getsize(mp4_file)
            size_ratio = output_size / input_size if input_size > 0 else 0
            
            logger.info(f"File sizes - Input: {input_size // (1024*1024):.1f}MB, Output: {output_size // (1024*1024):.1f}MB (ratio: {size_ratio:.2f})")
            
            # Only replace original if output seems reasonable
            if output_size > input_size * 0.1:  # Output should be at least 10% of input size
                # If we used a temporary file, replace the original
                if temp_output:
                    os.remove(input_file)
                    os.rename(mp4_file, final_output)
                    logger.info(f"Original file replaced with converted version: {os.path.basename(final_output)}")
                else:
                    os.remove(input_file)
                    logger.info(f"Original file deleted: {os.path.basename(input_file)}")
            else:
                logger.warning(f"Output file seems too small, keeping original: {os.path.basename(input_file)}")
                if temp_output and os.path.exists(mp4_file):
                    os.remove(mp4_file)  # Clean up failed temporary file
        
        # Update completion stats
        conversion_stats['active_conversions'] -= 1
        conversion_stats['completed_conversions'] += 1
        
        # Update Home Assistant
        update_homeassistant_stats(
            conversion_queue=conversion_queue.qsize(),
            active_conversions=conversion_stats['active_conversions']
        )
        
        return True
        
    except subprocess.CalledProcessError as e:
        conversion_stats['active_conversions'] -= 1
        logger.error(f"Conversion failed for {os.path.basename(input_file)}: {e}")
        if e.stderr:
            logger.debug(f"FFmpeg error output: {e.stderr}")
        
        # Clean up temporary file if it exists
        if temp_output and os.path.exists(mp4_file):
            os.remove(mp4_file)
            logger.debug(f"Cleaned up temporary file: {mp4_file}")
        
        # Update Home Assistant
        update_homeassistant_stats(
            conversion_queue=conversion_queue.qsize(),
            active_conversions=conversion_stats['active_conversions']
        )
        
        return False
    except Exception as e:
        conversion_stats['active_conversions'] -= 1
        logger.error(f"Unexpected error during conversion of {os.path.basename(input_file)}: {e}")
        
        # Update Home Assistant
        update_homeassistant_stats(
            conversion_queue=conversion_queue.qsize(),
            active_conversions=conversion_stats['active_conversions']
        )
        
        return False

def convert_to_apple_tv_compatible_with_target(input_file, target_file):
    """Convert a video to Apple TV 4K compatible format with Intel VAAPI hardware acceleration and specific target filename."""
    global conversion_stats
    logger = logging.getLogger(__name__)
    
    # Update conversion stats
    conversion_stats['active_conversions'] += 1
    conversion_stats['current_conversion'] = os.path.basename(input_file)
    
    logger.info(f"Converting {os.path.basename(input_file)} to Apple TV compatible format with GPU acceleration...")
    logger.info(f"Target filename: {os.path.basename(target_file)}")
    logger.debug(f"Input file: {input_file}")
    logger.debug(f"Target file: {target_file}")
    
    # Use a temporary output file during conversion to avoid conflicts
    base_name, ext = os.path.splitext(target_file)
    temp_output = f"{base_name}.converting{ext}"
    
    # Test VAAPI support
    vaapi_h264_available, vaapi_hevc_available, vaapi_decode_available, av1_decode_available, vp9_vaapi_decode_available = test_vaapi_support()
    
    # Update Home Assistant
    update_homeassistant_stats(
        conversion_queue=conversion_queue.qsize(),
        active_conversions=conversion_stats['active_conversions']
    )
    
    # Detect video properties to optimize conversion
    try:
        import json
        probe_cmd = [
            FFPROBE_PATH, "-v", "quiet", "-print_format", "json", 
            "-show_format", "-show_streams", input_file
        ]
        logger.debug(f"Probing video with command: {' '.join(probe_cmd)}")
        probe_result = subprocess.run(probe_cmd, capture_output=True, text=True, check=True)
        video_info = json.loads(probe_result.stdout)
        
        # Find video stream
        video_stream = next((s for s in video_info['streams'] if s['codec_type'] == 'video'), None)
        is_4k = video_stream and int(video_stream.get('height', 0)) >= 2160
        is_high_res = video_stream and int(video_stream.get('height', 0)) >= 1080
        input_codec = video_stream.get('codec_name', 'unknown').lower() if video_stream else 'unknown'
        
        if video_stream:
            height = video_stream.get('height', 'unknown')
            codec = video_stream.get('codec_name', 'unknown')
            bitrate = video_stream.get('bit_rate', 'unknown')
            logger.info(f"Video properties: {height}p, codec: {codec}, bitrate: {bitrate}")
        
    except (subprocess.CalledProcessError, json.JSONDecodeError, Exception) as e:
        logger.warning(f"Could not probe video properties: {e}, using default settings")
        is_4k = False
        is_high_res = True
        input_codec = 'unknown'
    
    # Intel VAAPI optimized encoding with hardware decoding based on source quality and hardware support
    hwaccel_args = []
    filter_args = []
    
    # Determine optimal hardware decoding strategy based on input codec
    if input_codec == 'av1' and av1_decode_available:
        # AV1 is not supported on Intel HD Graphics 630, fallback to software
        filter_args = ["-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload"]
        logger.info(f"Using software decoding with GPU upload for AV1 input (no hardware AV1 support)")
    elif input_codec in ['vp9', 'vp09'] and vp9_vaapi_decode_available:
        # Use Intel VAAPI for VP9 hardware decoding 
        hwaccel_args = ["-hwaccel", "vaapi", "-hwaccel_device", "/dev/dri/renderD128"]
        filter_args = ["-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload"]
        logger.info(f"🚀 Using Intel VAAPI hardware decoding for VP9 input")
    elif input_codec in ['h264', 'avc'] and vaapi_decode_available:
        # Use Intel VAAPI for H.264 hardware decoding (decode + encode on same device)
        hwaccel_args = ["-hwaccel", "vaapi", "-hwaccel_device", "/dev/dri/renderD128"]
        filter_args = ["-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload"]
        logger.info(f"🚀 Using Intel VAAPI hardware decoding for H.264 input")
    else:
        # Fallback: CPU decode with GPU upload for compatibility
        filter_args = ["-vaapi_device", "/dev/dri/renderD128", "-vf", "format=nv12,hwupload"]
        logger.info(f"Using software decoding with GPU upload for {input_codec} input")
    
    if is_4k and vaapi_hevc_available:
        # 4K content with VAAPI HEVC: Use hardware-accelerated H.265
        codec_args = [
            *filter_args,
            "-c:v", "hevc_vaapi",                   # Intel VAAPI HEVC encoder
            "-qp", "20",                            # Quality parameter (lower = better)
            "-rc_mode", "CQP",                      # Constant Quality mode
        ]
        logger.info("🚀 Using Intel VAAPI HEVC hardware acceleration for 4K content")
    elif (is_4k or is_high_res) and vaapi_h264_available:
        # 4K/1080p content with VAAPI H.264: Use hardware-accelerated H.264
        quality = "20" if is_4k else "22"  # Slightly lower quality for 1080p
        codec_args = [
            *filter_args,
            "-c:v", "h264_vaapi",                   # Intel VAAPI H.264 encoder
            "-qp", quality,                         # Quality parameter
            "-rc_mode", "CQP",                      # Constant Quality mode
            "-profile:v", "high",                   # H.264 High Profile
        ]
        quality_label = "4K" if is_4k else "1080p"
        logger.info(f"🚀 Using Intel VAAPI H.264 hardware acceleration for {quality_label} content")
    elif is_4k:
        # 4K content without VAAPI: Fall back to software H.265
        codec_args = [
            "-c:v", "libx265",              # Software H.265 for 4K
            "-preset", "medium",            # Better compression for 4K
            "-crf", "20",                   # Higher quality for 4K content
            "-level", "5.1",                # Level 5.1 supports 4K
            "-pix_fmt", "yuv420p",          # Standard compatibility
        ]
        hwaccel_args = []  # No hardware acceleration
        logger.info("⚠️ Using software H.265 encoding for 4K content (VAAPI not available)")
    elif is_high_res:
        # 1080p content without VAAPI: Use software H.264
        codec_args = [
            "-c:v", "libx264",              # Software H.264 for 1080p
            "-profile:v", "high",           # High profile for better quality
            "-preset", "fast",              # Faster encoding for 1080p
            "-crf", "21",                   # Good quality for 1080p
            "-level", "4.1",                # Level 4.1 supports 1080p
        ]
        hwaccel_args = []  # No hardware acceleration
        logger.info("⚠️ Using software H.264 encoding for 1080p content (VAAPI not available)")
    else:
        # Lower resolution: Use software H.264 with faster settings
        codec_args = [
            "-c:v", "libx264",              # Software H.264 for lower res
            "-profile:v", "main",           # Main profile for lower res
            "-preset", "fast",              # Fast encoding
            "-crf", "23",                   # Standard quality
            "-level", "3.1",                # Level 3.1 for lower res
        ]
        hwaccel_args = []  # No hardware acceleration
        logger.info("Using software H.264 encoding for lower resolution content")
    
    # Add progress reporting to FFmpeg command
    command = [
        FFMPEG_PATH,
        *hwaccel_args,                  # Hardware acceleration args (decode)
        "-i", input_file,
        *codec_args,                    # Video codec args (encode + filters)
        "-c:a", "aac",                  # AAC audio codec
        "-b:a", "192k",                 # Higher audio bitrate for better quality
        "-movflags", "+faststart",      # Optimize for streaming/quick playback
        "-progress", "pipe:1",          # Output progress to stdout
        "-y",                           # Overwrite output file if exists
        temp_output
    ]
    
    try:
        logger.debug(f"FFmpeg command: {' '.join(command)}")
        logger.info("Starting conversion... This may take a while for 4K content.")
        
        # Get total duration for progress calculation
        duration_cmd = [FFPROBE_PATH, "-v", "quiet", "-show_entries", "format=duration", "-of", "csv=p=0", input_file]
        try:
            duration_result = subprocess.run(duration_cmd, capture_output=True, text=True, check=True)
            total_duration = float(duration_result.stdout.strip())
        except:
            total_duration = 0
            logger.debug("Could not determine video duration for progress tracking")
        
        start_time = time.time()
        
        # Start FFmpeg with progress monitoring
        process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1, universal_newlines=True)
        
        current_conversion_progress = 0
        while True:
            output = process.stdout.readline()
            if output == '' and process.poll() is not None:
                break
                
            if output:
                output = output.strip()
                
                # Parse FFmpeg progress output
                if output.startswith("out_time_us=") and total_duration > 0:
                    try:
                        # Extract time in microseconds
                        time_us = int(output.split("=")[1])
                        current_time = time_us / 1000000  # Convert to seconds
                        progress = min(100, (current_time / total_duration) * 100)
                        
                        if abs(progress - current_conversion_progress) >= 5:  # Update every 5%
                            current_conversion_progress = progress
                            
                            # Update Home Assistant with conversion progress
                            update_homeassistant_stats(
                                conversion_queue=conversion_queue.qsize(),
                                active_conversions=conversion_stats['active_conversions'],
                                current_conversion_progress=current_conversion_progress,
                                current_conversion_file=os.path.basename(input_file)[:50]
                            )
                            logger.info(f"Conversion progress: {current_conversion_progress:.1f}% - {os.path.basename(input_file)}")
                    except (ValueError, IndexError):
                        pass
        
        # Wait for process to complete
        process.wait()
        end_time = time.time()
        
        if process.returncode != 0:
            stderr_output = process.stderr.read()
            logger.error(f"FFmpeg failed with return code {process.returncode}: {stderr_output}")
            raise subprocess.CalledProcessError(process.returncode, command, stderr=stderr_output)
        
        conversion_time = end_time - start_time
        logger.info(f"Conversion completed in {conversion_time:.1f}s")
        
        # Clear conversion progress
        update_homeassistant_stats(
            conversion_queue=conversion_queue.qsize(),
            active_conversions=conversion_stats['active_conversions'],
            current_conversion_progress=100,
            current_conversion_file=""
        )
        
        # Check if output file was created and has reasonable size
        if os.path.exists(temp_output):
            input_size = os.path.getsize(input_file)
            output_size = os.path.getsize(temp_output)
            size_ratio = output_size / input_size if input_size > 0 else 0
            
            logger.info(f"File sizes - Input: {input_size // (1024*1024):.1f}MB, Output: {output_size // (1024*1024):.1f}MB (ratio: {size_ratio:.2f})")
            
            # Only replace original if output seems reasonable
            if output_size > input_size * 0.1:
                # Move temporary file to final target location
                os.rename(temp_output, target_file)
                # Remove the original incompatible file
                os.remove(input_file)
                logger.info(f"✅ Conversion successful: {os.path.basename(input_file)} → {os.path.basename(target_file)}")
            else:
                logger.warning(f"Output file seems too small, keeping original: {os.path.basename(input_file)}")
                if os.path.exists(temp_output):
                    os.remove(temp_output)
        
        # Update completion stats
        conversion_stats['active_conversions'] -= 1
        conversion_stats['completed_conversions'] += 1
        
        # Update Home Assistant
        update_homeassistant_stats(
            conversion_queue=conversion_queue.qsize(),
            active_conversions=conversion_stats['active_conversions']
        )
        
        return True
        
    except subprocess.CalledProcessError as e:
        conversion_stats['active_conversions'] -= 1
        logger.error(f"Conversion failed for {os.path.basename(input_file)}: {e}")
        if e.stderr:
            logger.debug(f"FFmpeg error output: {e.stderr}")
        
        # Clean up temporary file if it exists
        if os.path.exists(temp_output):
            os.remove(temp_output)
            logger.debug(f"Cleaned up temporary file: {temp_output}")
        
        # Update Home Assistant
        update_homeassistant_stats(
            conversion_queue=conversion_queue.qsize(),
            active_conversions=conversion_stats['active_conversions']
        )
        
        return False
    except Exception as e:
        conversion_stats['active_conversions'] -= 1
        logger.error(f"Unexpected error during conversion of {os.path.basename(input_file)}: {e}")
        
        # Clean up temporary file if it exists
        if os.path.exists(temp_output):
            os.remove(temp_output)
            logger.debug(f"Cleaned up temporary file: {temp_output}")
        
        # Update Home Assistant
        update_homeassistant_stats(
            conversion_queue=conversion_queue.qsize(),
            active_conversions=conversion_stats['active_conversions']
        )
        
        return False

# Temporarily commented out video conversion functionality
# def convert_to_mp4(input_file):
#     """Convert a video to mp4 and delete the original file."""
#     mp4_file = os.path.splitext(input_file)[0] + ".mp4"
#     print(f"Converting {input_file} to {mp4_file}...")
#     command = ["ffmpeg", "-i", input_file, "-c:v", "libx264", "-preset", "fast", "-c:a", "aac", mp4_file]
#     subprocess.run(command, check=True)
#     print(f"Conversion completed: {mp4_file}")
#     if os.path.exists(mp4_file):
#         os.remove(input_file)
#         print(f"Original file deleted: {input_file}")

def create_nfo_file(video_data, file_path):
    """Create an Emby-compatible NFO file."""
    logger = logging.getLogger(__name__)
    
    try:
        nfo_content = f"""<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<movie>
  <title>{video_data['title']}</title>
  <plot>{video_data['description']}</plot>
  <year>{video_data['published_at'][:4]}</year>
  <premiered>{video_data['published_at']}</premiered>
  <studio>{video_data['channel_title']}</studio>
</movie>
"""
        with open(file_path, "w", encoding="utf-8") as nfo_file:
            nfo_file.write(nfo_content)
        logger.debug(f"Created NFO file: {file_path}")
    except Exception as e:
        logger.error(f"Failed to create NFO file {file_path}: {e}")
        raise

def check_exit_time():
    """Check if the current time is past the exit time."""
    logger = logging.getLogger(__name__)
    now = datetime.now().time()
    if now >= EXIT_TIME:
        logger.info(f"Current time ({now.strftime('%H:%M:%S')}) exceeds exit time ({EXIT_TIME.strftime('%H:%M:%S')}). Terminating script.")
        sys.exit(0)

def delete_old_videos(folder, days=5):
    """Delete video files and their folders older than `days`."""
    logger = logging.getLogger(__name__)
    logger.info(f"Starting cleanup of videos older than {days} days in {folder}")
    
    if not os.path.exists(folder):
        logger.warning(f"Output folder does not exist: {folder}")
        return
    
    now = time.time()
    cutoff = now - (days * 86400)  # Convert days to seconds
    
    deleted_files = 0
    deleted_dirs = 0
    total_size_freed = 0
    
    try:
        for root, dirs, files in os.walk(folder, topdown=False):
            # Delete files
            for file in files:
                file_path = os.path.join(root, file)
                try:
                    if os.path.isfile(file_path) and os.path.getmtime(file_path) < cutoff:
                        file_size = os.path.getsize(file_path)
                        os.remove(file_path)
                        deleted_files += 1
                        total_size_freed += file_size
                        logger.debug(f"Deleted file: {file_path} ({file_size // (1024*1024):.1f}MB)")
                except (OSError, IOError) as e:
                    logger.error(f"Failed to delete file {file_path}: {e}")
            
            # Remove empty directories
            for dir_name in dirs:
                dir_path = os.path.join(root, dir_name)
                try:
                    if os.path.exists(dir_path) and not os.listdir(dir_path):  # Check if the directory is empty
                        os.rmdir(dir_path)
                        deleted_dirs += 1
                        logger.debug(f"Deleted empty directory: {dir_path}")
                except (OSError, IOError) as e:
                    logger.error(f"Failed to delete directory {dir_path}: {e}")
        
        if deleted_files > 0 or deleted_dirs > 0:
            size_mb = total_size_freed / (1024 * 1024)
            logger.info(f"Cleanup completed: {deleted_files} files, {deleted_dirs} directories deleted, {size_mb:.1f}MB freed")
        else:
            logger.info("No old files found to delete")
            
    except Exception as e:
        logger.error(f"Error during cleanup: {e}")

def video_exists(output_path, video_id):
    """Check if a video already exists in the directory."""
    return os.path.exists(os.path.join(output_path, video_id))

def check_exit_time():
    """Check if the current time is past the exit time."""
    now = datetime.now().time()
    if now >= EXIT_TIME:
        print("Current time exceeds exit time. Terminating script.")
        sys.exit(0)

def check_cookies_status():
    """Check and log the status of the YouTube cookies file."""
    logger = logging.getLogger(__name__)
    
    if os.path.exists(COOKIES_FILE):
        try:
            # Check if cookies file is readable and has content
            with open(COOKIES_FILE, 'r') as f:
                content = f.read().strip()
                if content:
                    logger.info(f"✅ YouTube cookies file found and loaded: {COOKIES_FILE}")
                else:
                    logger.warning(f"⚠️ YouTube cookies file is empty: {COOKIES_FILE}")
        except Exception as e:
            logger.error(f"❌ Error reading cookies file {COOKIES_FILE}: {e}")
    else:
        logger.warning(f"⚠️ YouTube cookies file not found: {COOKIES_FILE}")
        logger.info("   To avoid bot detection, create cookies file using:")
        logger.info("   1. Export cookies from browser using a browser extension")
        logger.info("   2. Save as 'youtube_cookies.txt' in the application directory")

def main():
    global download_stats
    logger = logging.getLogger(__name__)
    
    logger.info("Starting main download process")
    
    # Check cookies status
    check_cookies_status()
    
    # Initialize Home Assistant integration
    if HOMEASSISTANT_ENABLED:
        logger.info("Initializing Home Assistant integration...")
        ha_integration = init_homeassistant_integration()
        if ha_integration:
            logger.info("Home Assistant integration started successfully")
        else:
            logger.warning("Home Assistant integration failed to start")
    
    # Start the conversion queue worker
    logger.info("Starting video conversion queue system...")
    logger.info(f"Max concurrent conversions: {MAX_CONCURRENT_CONVERSIONS}")
    
    # Start background conversion worker
    conversion_worker = threading.Thread(target=process_conversion_queue, daemon=True, name="ConversionQueueWorker")
    conversion_worker.start()
    logger.debug("Conversion queue worker thread started")
    
    # Update yt-dlp
    try:
        update_yt_dlp()
    except Exception as e:
        logger.error(f"Failed to update yt-dlp: {e}")
        # Continue anyway, existing version might work

    # Authenticate YouTube API
    logger.info("Authenticating with YouTube API...")
    try:
        youtube = authenticate_youtube_api()
        logger.info("YouTube API authentication successful")
    except Exception as e:
        logger.error(f"YouTube API authentication failed: {e}")
        raise

    # Ensure output directory exists
    if not os.path.exists(OUTPUT_DIR):
        logger.info(f"Creating output directory: {OUTPUT_DIR}")
        os.makedirs(OUTPUT_DIR)
    else:
        logger.debug(f"Output directory exists: {OUTPUT_DIR}")

    # Clean up old videos
    logger.info(f"Cleaning up videos older than {DAYS_TO_KEEP} days...")
    delete_old_videos(OUTPUT_DIR, days=DAYS_TO_KEEP)
    
    # Fetch subscribed channels
    logger.info("Fetching subscribed channels...")
    try:
        channels = get_subscribed_channels(youtube)
        logger.info(f"Successfully fetched {len(channels)} subscribed channels")
    except Exception as e:
        logger.error(f"Failed to fetch subscribed channels: {e}")
        channels = []
    
    # Count total videos for progress tracking
    logger.info("Counting total videos to download...")
    total_videos = 0
    all_videos = []
    
    # Collect all videos first for counting
    for i, channel_id in enumerate(channels):
        try:
            logger.debug(f"Processing channel {i+1}/{len(channels)}: {channel_id}")
            videos = get_recent_videos(youtube, channel_id)
            for video in videos:
                video_dir = os.path.join(OUTPUT_DIR, video["video_id"])
                if not os.path.exists(video_dir):
                    all_videos.append(('subscription', video))
                    total_videos += 1
                else:
                    logger.debug(f"Video already exists, skipping: {video['title']}")
        except Exception as e:
            logger.error(f"Error processing channel {channel_id}: {e}")
    
    # Add popular videos
    for region_code in REGION_CODES:
        try:
            logger.debug(f"Fetching popular videos from region: {region_code}")
            popular_videos = get_popular_videos(youtube, region_code)
            for video in popular_videos:
                video_dir = os.path.join(OUTPUT_DIR, video["video_id"])
                if not os.path.exists(video_dir):
                    all_videos.append(('popular', video))
                    total_videos += 1
                else:
                    logger.debug(f"Popular video already exists, skipping: {video['title']}")
        except Exception as e:
            logger.error(f"Error fetching popular videos from region {region_code}: {e}")
    
    # Initialize download stats
    download_stats['total_videos'] = total_videos
    download_stats['completed_videos'] = 0
    
    logger.info(f"Total videos to download: {total_videos}")
    
    if total_videos == 0:
        logger.info("No new videos found to download")
        return
    
    # Update initial Home Assistant stats
    update_homeassistant_stats(
        download_queue=total_videos,
        conversion_queue=0,
        download_progress=0,
        active_downloads=0,
        active_conversions=0
    )
    
    # Process all videos
    for i, (video_type, video) in enumerate(all_videos):
        # Check the exit time before processing each video
        check_exit_time()
        
        logger.info(f"Processing video {i+1}/{total_videos} ({video_type}): {video['title']}")
        video_dir = os.path.join(OUTPUT_DIR, video["video_id"])
        
        try:
            # Create directory
            os.makedirs(video_dir, exist_ok=True)
            logger.debug(f"Created/verified directory: {video_dir}")
            
            # Download the video
            if not download_video(video["video_id"], video_dir, video["title"]):
                logger.warning(f"Skipping video {video['video_id']} due to download error")
                continue  # Skip this video if download failed
            
            # Create the NFO file
            nfo_file_path = os.path.join(video_dir, "movie.nfo")
            try:
                create_nfo_file(video, nfo_file_path)
                logger.debug(f"Created NFO file: {nfo_file_path}")
            except Exception as e:
                logger.error(f"Failed to create NFO file: {e}")
            
            # Update completed videos count
            download_stats['completed_videos'] += 1
            progress = (download_stats['completed_videos'] / download_stats['total_videos']) * 100
            
            # Update Home Assistant stats
            update_homeassistant_stats(
                download_queue=max(0, download_stats['total_videos'] - download_stats['completed_videos']),
                download_progress=round(progress, 1)
            )
            
            logger.debug(f"Progress: {download_stats['completed_videos']}/{download_stats['total_videos']} ({progress:.1f}%)")
            
        except Exception as e:
            logger.error(f"Error processing video {video['title']}: {e}")
            continue

    logger.info("All videos processed!")
    logger.info(f"Final stats: {download_stats['completed_videos']}/{download_stats['total_videos']} videos completed")
    
    # Wait for all conversions to complete
    logger.info("Waiting for all conversions to complete...")
    conversion_executor.shutdown(wait=True)
    logger.info("All conversions completed!")
    
    # Final Home Assistant update
    update_homeassistant_stats(
        download_queue=0,
        conversion_queue=0,
        download_progress=100,
        active_downloads=0,
        active_conversions=0
    )
    
    logger.info("Main download process completed successfully")
    logger.info("=" * 80)


def schedule_downloads():
    """Schedule downloads to run at specified times"""
    logger = logging.getLogger(__name__)
    
    # Configuration for scheduling
    START_TIME = dt_time(0, 0)   # 00:00
    END_TIME = dt_time(7, 0)     # 07:00
    
    logger.info("Starting YouTube Predownloader Service with scheduling")
    logger.info(f"Service will run between {START_TIME.strftime('%H:%M')} and {END_TIME.strftime('%H:%M')} daily")
    
    while True:
        current_time = datetime.now().time()
        
        # Check if we're in the allowed time window
        if START_TIME <= current_time <= END_TIME:
            try:
                set_service_running()
                logger.info(f"Starting download session at {datetime.now().strftime('%H:%M:%S')}")
                
                # Run the main download process
                main()
                
                set_service_completed()
                logger.info(f"Download session completed at {datetime.now().strftime('%H:%M:%S')}")
                
                # Calculate next run time (next day at START_TIME)
                next_run = datetime.now().replace(hour=START_TIME.hour, minute=START_TIME.minute, second=0, microsecond=0)
                if current_time > START_TIME:
                    next_run = next_run.replace(day=next_run.day + 1)
                
                set_service_waiting(next_run.isoformat())
                
                # Sleep until next day
                sleep_seconds = (next_run - datetime.now()).total_seconds()
                logger.info(f"Sleeping until next run at {next_run.strftime('%Y-%m-%d %H:%M:%S')} ({sleep_seconds:.0f} seconds)")
                time.sleep(sleep_seconds)
                
            except Exception as e:
                logger.error(f"Error during download session: {e}", exc_info=True)
                set_service_error()
                # Sleep for 1 hour before retrying
                logger.info("Sleeping for 1 hour before retrying")
                time.sleep(3600)
        else:
            # We're outside the allowed time window
            if current_time < START_TIME:
                # Before start time today
                next_run = datetime.now().replace(hour=START_TIME.hour, minute=START_TIME.minute, second=0, microsecond=0)
            else:
                # After end time today, schedule for tomorrow
                next_run = datetime.now().replace(hour=START_TIME.hour, minute=START_TIME.minute, second=0, microsecond=0)
                next_run = next_run.replace(day=next_run.day + 1)
            
            set_service_waiting(next_run.isoformat())
            
            # Sleep until start time
            sleep_seconds = (next_run - datetime.now()).total_seconds()
            logger.info(f"Waiting until {next_run.strftime('%Y-%m-%d %H:%M:%S')} to start downloads ({sleep_seconds:.0f} seconds)")
            time.sleep(min(sleep_seconds, 3600))  # Check every hour maximum


# Fetch and process most popular videos worldwide (from multiple regions)
def fetch_popular_videos_old():
    """Old function kept for reference - this logic is now integrated into main()"""
    for region_code in REGION_CODES:
        print(f"Fetching the most popular videos from {region_code}...")
        popular_videos = get_popular_videos(youtube, region_code)

        for video in popular_videos:
            # Check the exit time before processing each video
            check_exit_time()
            
            print(f"Processing popular video: {video['title']} ({region_code})")
            video_dir = os.path.join(OUTPUT_DIR, video["video_id"])
            
            # Check if the video already exists
            if os.path.exists(video_dir):
                print(f"Skipping download, already exists: {video['title']} ({video['video_id']})")
                continue
            
            os.makedirs(video_dir, exist_ok=True)
            
            # Download the popular video
            if not download_video(video["video_id"], video_dir):
                print(f"Skipping popular video {video['video_id']} due to download error.")
                continue  # Skip this video if download failed
            
            # Check if conversion is needed (VP9/AV1 codecs or non-MP4 files)
            needs_conversion = False
            conversion_file = None
            
            for file in os.listdir(video_dir):
                if file.endswith(('.mp4', '.mkv', '.webm', '.m4v')):
                    file_path = os.path.join(video_dir, file)
                    try:
                        # Quick check for problematic codecs
                        probe_cmd = [FFPROBE_PATH, "-v", "quiet", "-select_streams", "v:0", 
                                   "-show_entries", "stream=codec_name", "-of", "csv=p=0", file_path]
                        result = subprocess.run(probe_cmd, capture_output=True, text=True, check=True)
                        codec = result.stdout.strip().lower()
                        
                        if codec in ['vp9', 'av01', 'av1'] or not file.endswith('.mp4'):
                            needs_conversion = True
                            conversion_file = file_path
                            print(f"Found {codec} codec - will convert for Apple TV compatibility")
                            break
                    except subprocess.CalledProcessError:
                        # If we can't probe, assume it might need conversion if not MP4
                        if not file.endswith('.mp4'):
                            needs_conversion = True
                            conversion_file = file_path
                            break
            
            if needs_conversion and conversion_file:
                # Determine priority based on video resolution
                try:
                    probe_cmd = [FFPROBE_PATH, "-v", "quiet", "-select_streams", "v:0", 
                               "-show_entries", "stream=height", "-of", "csv=p=0", conversion_file]
                    result = subprocess.run(probe_cmd, capture_output=True, text=True, check=True)
                    height = int(result.stdout.strip()) if result.stdout.strip().isdigit() else 1080
                    priority = 2 if height >= 2160 else 1  # 4K gets higher priority
                except:
                    priority = 1  # Default priority
                
                add_to_conversion_queue(conversion_file, priority)
                print_queue_status()
            
            # Create the NFO file
            nfo_file_path = os.path.join(video_dir, "movie.nfo")
            create_nfo_file(video, nfo_file_path)
    
    print("All videos processed successfully!")
    
    # Final conversion queue status
    print("\n🎬 Final Conversion Queue Status:")
    print_queue_status()
    
    # Final Home Assistant update
    update_homeassistant_stats(
        download_queue=0,
        conversion_queue=conversion_queue.qsize(),
        download_progress=100,
        active_downloads=0,
        active_conversions=conversion_stats['active_conversions']
    )
    
    queued_items = conversion_queue.qsize()
    if queued_items > 0:
        print(f"⏳ {queued_items} videos still in conversion queue")
        print("💡 Conversions will continue in the background")
        print("💡 You can monitor progress in Home Assistant")
    else:
        print("✅ All conversions completed!")
    
    print("🏠 Home Assistant integration will continue running in background")


if __name__ == "__main__":
    import sys
    
    # Check for debug mode
    debug_mode = "--debug" in sys.argv
    if debug_mode:
        sys.argv.remove("--debug")
        # Set debug logging
        LOG_LEVEL = logging.DEBUG
        logger = setup_logging()
        logger.info("Debug mode enabled - verbose logging activated")
    
    logger = logging.getLogger(__name__)
    
    # Check if we should run as a service with scheduling
    if len(sys.argv) > 1 and sys.argv[1] == "--service":
        logger.info("Starting YouTube Predownloader Service with scheduling")
        try:
            schedule_downloads()
        except KeyboardInterrupt:
            logger.info("Service interrupted by user")
        except Exception as e:
            logger.error(f"Service error: {e}", exc_info=True)
    else:
        logger.info("Running YouTube Predownloader once")
        try:
            main()
        except KeyboardInterrupt:
            logger.info("Process interrupted by user")
        except Exception as e:
            logger.error(f"Process error: {e}", exc_info=True)
        finally:
            logger.info("Process finished")