logging-rate-limiter

a simple logging filter which can be used to limit the amount of logs getting out from a system. It uses token bucket algorithm internally.

Installation

• from pypi

pip install logging_rate_limiter

Usage

• check example for a complete example
• the filter is available as

from logging_rate_limiter.utils import RateLimitingFilter

• on a basic level this filter can be added to a logger or a logging handler
• this filter takes multiple optional keywords with key as log_level and value as a dict with 3 keys

"DEBUG": {
    "tokens_per_sec": 1,
    "starting_tokens": 1, # optional, default=0
    "max_tokens_balance": 1 # optional, default=infinity
}

• tokens_per_sec: the number of tokens(logs) which will be available for a given log level
• starting_tokens: the number of tokens already available at the start of the logging initialisation
• max_tokens_balance: the maximum number of tokens that can be accumulated if the logs for a particular level are not being requested as much as the tokens_per_sec allowed. kind of limited burst balance.
• besides providing this config for particular log levels, you can supply a default key with this config.
• if a default is supplied and there is no config supplied for a requested log level then this requested log level will be checked against this default config. useful for scenario where you want an overall rate shared across multiple log levels.
• besides this an optional result_callback can be supplied which will be called everytime a log record goes through filter function
• the result_callback must accept 2 params result which is a boolean telling whether the log record was filtered or not and record the original log record.

Pytest

• pytest tests/

License

• this project is licensed under MIT License