Telegram Bot YAML Cache Optimization with GPT
The first message validation bot we implemented previously.
When reading the code, I noticed that the bot frequently needs to read the yaml file. This significantly increases I/O overhead and slows down processing.
Every time a new message is detected in the group, it calls
is_valid_user() function -> load_valid_users() function -> opens the yaml file
A common optimization strategy is,
to keep a cache in memory.
When the program starts, load from the file into the in-memory cache.
When querying, query from the in-memory cache.
When modifying, modify the in-memory cache and also modify the file.
This caching approach is quite common, so once again, we use GPT to develop it.
Copy and paste the entire original code, and add one more sentence.
In the program above, every validation requires reading VALID_USERS_FILE. Would this cause efficiency issues?
Thanks to the well-structured original code, the changes to add this cache are not significant.
Commit to Github
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