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Python logger for Buffer services

Project description

Python Bufflog

GitHub Workflow Status PyPI GitHub

Python logger for Buffer services.

Installation

You can use pip to install python-bufflog:

pip install python-bufflog

Usage

import bufflog

bufflog = bufflog.get_logger(__name__)

bufflog.debug('Hello debug', extra={"some":"stuff"})
bufflog.info('Hello info')
bufflog.error('Hello error')
bufflog.critical('Hello critical')

Log verbosity levels

If you wish to see more logs, simply set the LOG_LEVEL to the desired level. Here a list with some use case:

Levels Use case Examples
DEBUG Information used for interactive investigation, with no long-term value. Activate it with LOG_LEVEL=DEBUG Printing function names, steps inside a function.
INFO Interesting events. Track the general flow of the application. Activate it with LOG_LEVEL=INFO User logs in, SQL logs, worker process/delete a message...
NOTICE Uncommon events. This is the default verbosity level. Missing environment variables, page redirection, pod starting/restarting/terminating, retrying to query an API...
WARNING Exceptional occurrences that are not errors. Undesirable things that are not necessarily wrong. Use of deprecated APIs, poor use of an API, unauthorized access, pod restart because of memory limit ...
ERROR Runtime errors. Highlight when the current flow of execution is stopped due to a failure. Exceptions messages, incorect credentials or permissions...
CRITICAL Critical conditions. Describe an unrecoverable application, system crash, or a catastrophic failure that requires immediate attention. Application component unavailable, unexpected exception. entire website down, database unavailable ...

Development

For local development, create a new virtual environment and activate it. That can be done with Python venv module.

$ python -m venv venv
$ source venv/bin/activate

Once the virtual environment is activated, install python-bufflog locally:

$ pip install -e .

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