Python logger for Buffer services
Project description
Python Bufflog
Python logger for Buffer services.
Installation
You can use pip
to install bufflog
:
pip install bufflog
Usage
from bufflog import bufflog
bufflog.debug('Hello debug', context={"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 .
Project details
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