使用telebot开发的Python Telegram机器人发送图片内存占用过高问题求助

Hey there! I’ve run into similar memory hiccups with file handling in Python bots before, so let me break down what’s going on and how to fix it.

The core issue here is that when you use open(save_name, 'rb') directly inside send_photo, you’re opening a file handle but never explicitly closing it. Python’s garbage collector might not clean these up right away—especially if your bot is firing off lots of photos quickly—leading to that 10MB memory hang per image.

Here are three solid solutions to resolve this:

1. Use a Context Manager (Recommended) #

Python’s with statement is built for safe file handling—it automatically closes the file once the code block finishes, even if an error pops up mid-transmission. This is the cleanest and most reliable approach:

with open(save_name, 'rb') as photo_file:
    bot.send_photo(cid, photo=photo_file)

As soon as the send_photo call wraps up, the file handle is closed, and the associated memory gets freed immediately.

2. Manually Close the File Handle #

If you prefer not to use with, you can explicitly open the file, send the photo, then close it. Wrap this in a try/finally block to make sure the file gets closed no matter what goes wrong:

photo_file = open(save_name, 'rb')
try:
    bot.send_photo(cid, photo=photo_file)
finally:
    photo_file.close()

The finally clause guarantees the file is closed even if send_photo throws an error, preventing memory leaks from abandoned file handles.

3. Pass the File Path Directly (Simplest Option) #

Fun fact: telebot’s send_photo actually accepts a file path string directly for the photo parameter. Letting the library handle the file opening and closing removes the chance of you forgetting to clean up:

bot.send_photo(cid, photo=save_name)

This is the easiest fix if your use case allows it—just pass the path, and telebot takes care of the rest.

Quick Extra Tip #

If you’re still seeing memory issues after trying these, double-check if other parts of your code are holding onto references to image data (like storing file content in a global variable). Tools like memory_profiler can help you pinpoint exactly where memory is being stuck.

内容的提问来源于stack exchange，提问作者Ali Moayed