A Python structured logger for Fluentd

Many web/mobile applications generate huge amount of event logs (c,f. login, logout, purchase, follow, etc). To analyze these event logs could be really valuable for improving the service. However, the challenge is collecting these logs easily and reliably.

Fluentd solves that problem by having: easy installation, small footprint, plugins, reliable buffering, log forwarding, etc.

fluent-logger-python is a Python library, to record the events from Python application.

Installation

This library is distributed as 'fluent-logger' python package. Please execute the following command to install it.

$ pip install fluent-logger

Configuration

Fluent daemon must be lauched with the following configuration:

<source>
  type tcp
  port 24224
</source>

<match app.**>
  type stdout
</match>

Usage

Event-Based Interface

First, you need to call logger.setup() to create global logger instance. This call needs to be called only once, at the beggining of the application for example.

By default, the logger assumes fluent daemon is launched locally. You can also specify remote logger by passing the options.

from fluent import sender

# for local fluent
sender.setup('app')

# for remote fluent
sender.setup('app', host='host', port=24224)

Then, please create the events like this. This will send the event to fluent, with tag 'app.follow' and the attributes 'from' and 'to'.

from fluent import event

# send event to fluentd, with 'app.follow' tag
event.Event('follow', {
  'from': 'userA',
  'to':   'userB'
})

Python logging.Handler interface

This client-library also has FluentHanler class for Python logging module.

import logging
from fluent import handler

logging.basicConfig(level=logging.INFO)
l = logging.getLogger('fluent.test')
l.addHandler(handler.FluentHandler('app.follow', host='host', port=24224))
l.info({
  'from': 'userA',
  'to': 'userB'
})

Contributors

Ken Sato
Naoki Inada

License

Apache License, Version 2.0

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