A better Python library for StatHat

Implements the StatHat EZ and Classic API, and supports (and encourages) asynchronous usage with gevent.

Installation

$ pip install python-stathat

EZ API usage

from stathat import StatHatEZ
stats = StatHatEZ('matt@ydekproductions.com', 'awesome stuff')
stats.tick()  # Increment a counter by 1
stats.count(5)  # Increment a counter by 5
stats.value(0.275)  # Track specific values, such as loadavg or uptime, etc.
print stats.count(5, async=False)  # Force async off

Async features are detected automatically based on if gevent is available or not. Async can be disabled by passing async=False to any method.

Classic API usage

from stathat import StatHat
stats = StatHat('{{ my user key }}', '{{ my stat key }}')
stats.tick()  # Increment a counter by 1
stats.count(5)  # Increment a counter by 5
stats.value(0.275)  # Track specific values, such as loadavg or uptime, etc.
print stats.count(5, async=False)  # Force async off

Error handling

Error handling is only relevant in non-async mode. No exceptions will be raised in async mode.

from stathat import StatHatEZ, StatHatError
stats = StatHatEZ('matt@ydekproductions.com', 'awesome stuff')
try:
    stats.tick(async=False)
except StatHatError, e:
    print "Broke!", e

Shortcuts

These methods are provided as a shortcut for one-off calls. Errors are raised and handled the same way as the normal calls.

import stathat
stathat.ez_count('matt@ydekproductions.com', 'awesome stuff', 5)
stathat.ez_value('matt@ydekproductions.com', 'awesome stuff', 0.275)
stathat.classic_count('{{ my user key }}', '{{ my stat key }}', 5)
stathat.classic_value('{{ my user key }}', '{{ my stat key }}', 0.275)
stathat.ez_count('matt@ydekproductions.com', 'awesome stuff', 5, async=False)  # Disable async

(optional) Async support

First, gevent is required to use any async features. Async features are automatically disabled gracefully if gevent is not available.

Async mode allows a ton of requests to be made without slowing down the main application thread.

This behavior can be overridden and force requests to happen normally by passing async=False to any method.

Async requests will always return True no matter what the actual response is. The entire script would have to wait until the response came back before moving on otherwise, defeating the entire purpose of making the request asynchronously.

It's recommended to first make a test with async=False to make sure parameters are correct and your keys are working before going full-blown async mode.

Checking for async

from stathat import StatHat
if StatHat.has_async():
    print "Yes!"
else:
    print "Nope. :("

Installing gevent

$ pip install gevent

Installing gevent allows much faster logging in a "send-and-forget" fashion. Note: libevent headers are required for installation.

Gotchas

• StatHat does not return an error when your site_key is incorrect. They will only return an error when the user_key is wrong.

Todo

• Support for a thread pool to allow async when gevent isn't available.
• Drop-in support for Django