Efficiently Process and Save Multiple Media Files in a Telegram Bot with Python

Telegram bot using python-telegram-bot downloads media but repeatedly invokes its handler, resulting in metadata being overwritten. How can all media be processed at once? Example:

async def process_message(msg, ctx):
    media_items = msg.media_items
    for item in media_items:
        file_data = await ctx.bot.fetch_file(item.id)
        # handle file and aggregate metadata

The issue may be resolved by processing the media concurrently rather than sequentially. In my experience, using asynchronous constructs such as asyncio.gather helps in fetching all the file data concurrently and avoids repeatedly invoking the handler in a way that overwrites metadata. Adjusting the logic to collect and aggregate responses only after all tasks are complete ensures that all metadata is correctly preserved. This approach keeps the function clean and manageable while still handling multiple media items efficiently, reducing potential race conditions.

hey, u might wanna merge the media calls via asyncio.gather. i faced similar issues when metadata got overwritten cause of concurrent calls. try adding a simple lock to ensure meta updates are unique each time, that fixed it for me.

Based on my experience, using asynchronous constructs to concurrently handle file downloads definitely works better than sequential processing. I once faced a similar problem where metadata was being overwritten because multiple downloads updated a shared resource at the same time. I ended up using asyncio.gather to fetch all files concurrently. Additionally, I implemented a semaphore to limit the number of concurrent downloads, which helped in managing system resources effectively. Using this approach, I could ensure that the metadata from all media files was collected reliably without interference.