Python logger for Buffer services.
You can use pip to install python-bufflog:
pip install python-bufflog
import bufflog
bufflog = bufflog.get_logger(__name__)
bufflog.debug('Hello debug', context={"some":"stuff"})
bufflog.info('Hello info')
bufflog.error('Hello error')
bufflog.critical('Hello critical')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 ... |
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:
