1 Introduce Multithreading to video_downloader.py

This update introduces multithreading to video_downloader.py to significantly improve the efficiency of bulk video downloads. Instead of processing each video sequentially, the script now utilizes Python’s ThreadPoolExecutor to handle multiple downloads concurrently.

Key changes include:

• Added a process_video() function to delegate YouTube and non-YouTube downloads appropriately.
• Implemented ThreadPoolExecutor with a configurable worker limit for parallel execution.
• Improved logging for better visibility of download progress and error tracking.
• Ensured graceful handling of failed downloads via exception handling and controlled pause intervals.

2 Add Resume Capability and Skip Counter to video_downloader.py

This enhancement introduces a resume feature to the multithreaded video downloader, allowing interrupted downloads to continue from where they left off without restarting the entire process.

Key updates include:

• New function get_skip_counter() — Reads the log file to identify the last successfully downloaded video_id and determines how many entries to skip upon resuming.
• Integrated skip logic — The main loop now uses a skip_counter to continue downloading from the correct index, preventing duplicate downloads.
• Improved reliability — Error handling and logging ensure the script can safely recover and resume even after unexpected interruptions.
• Maintained parallelism — The multithreading implementation with ThreadPoolExecutor remains intact, preserving high performance and concurrency.