sag_py_logging_logstash

Python Logstash Async is an asynchronous Python logging handler to submit log events to a remote Logstash instance. It based on open source library, see the documentation http://python-logstash-async.readthedocs.io/en/latest/. In this version transporter is limited to HTTPTransport, according to Logstash intern installation requirements.

Unlike most other Python Logstash logging handlers, this package works asynchronously by collecting log events from Python's logging subsystem and then transmitting the collected events in a separate worker thread to Logstash. This way, the main application (or thread) where the log event occurred, doesn't need to wait until the submission to the remote Logstash instance succeeded.

This is especially useful for applications like websites or web services or any kind of request serving API where response times matter.

Usage

Example::

from logstash_async.handler import AsynchronousLogstashHandler
from logstash_async.formatter import LogstashFormatter
import logging

logstash_handler = AsynchronousLogstashHandler(
    host='my_host',
    port=123,
    username='my_user',
    password='my_password',
    index_name = 'my_index')
logstash_formatter = LogstashFormatter( extra_prefix='',
extra={'customer': "name", 'ap_environment': "local"})
logstash_handler.setFormatter(logstash_formatter)

logging_handlers = []
logging_handlers.append(logstash_handler)

logging.basicConfig(
level="INFO",
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=logging_handlers)

logging.getLogger().info("Logging Message", extra = {'new_field':"value"})

Installation

pip install sag-py-logging-logstash

How to start developing

With vscode

Just install vscode with dev containers extension. All required extensions and configurations are prepared automatically.

With pycharm

• Install latest pycharm
• Configure the python interpreter/venv
• pip install requirements-dev.txt
• Restart pycharm

How to publish

• Update the version in setup.py and commit your change
• Create a tag with the same version number
• Let github do the rest

How to test

To avoid publishing to pypi unnecessarily you can do as follows

• Tag your branch however you like
• Use the chosen tag in the requirements.txt-file of the project you want to test this library in, eg. sag_py_logging_logstash==<your tag>
• Rebuild/redeploy your project