Python library for using Mixpanel asynchronously
Project description
This library allows for using the Mixpanel python client in an asynchronous way. Using the AsyncBufferedConsumer, events sent to the Mixpanel API will be batched and then flushed in a thread without blocking the main thread. This is extremely useful in a request/response scenario where response time is important.
This library was originally created for use at Clef and is in production use there.
Installation
The library can be installed using pip:
pip install mixpanel-py-async
Getting Started
Typical usage usually looks like this:
#!/usr/bin/env python from mixpanel import Mixpanel from mixpanel_async import AsyncBufferedConsumer mp = Mixpanel(YOUR_TOKEN, consumer=AsyncBufferedConsumer()) # tracks an event with certain properties mp.track('distinct_id', 'event name', {'color' : 'blue', 'size': 'large'}) # sends an update to a user profile mp.people_set(USER_ID, {'$first_name' : 'Amy', 'favorite color': 'red'})
These events will be batched and then sent in a seperate, asynchronous thread.
Configuration
For most users, the default configuration should work perfectly. For more specific needs, AsyncBufferedConsumer has a variety of configuration options, which you can use to manage how it batches and sends API requests.
flush_after (datetime.timedelta) - defaults to 10 seconds - the time period after which the AsyncBufferedConsumer will flush the events upon receiving a new event (no matter what the event queue size is)
flush_first (bool) - defaults to True - whether the consumer should always flush the first event.
max_size (int) - defaults to 20 - how big a given event queue can get before it is flushed by the consumer
events_url (str) - defaults to standard Mixpanel API URL - the Mixpanel API URL that track events will be sent to
people_url (str) - defaults to standard Mixpanel API URL - the Mixpanel API URL that people events will be sent to
Usage
Typically, after configuring the AsyncBufferedConsumer and passing it to the Mixpanel object, you will never have to use it again. That said, there are a few methods which can be useful.
flush() - tells the AsyncBufferedConsumer to flush all of the events in its queues. If you call it with async=False this flush will happen in the main thread (useful for ensuring all events are sent before a process ends)
#!/usr/bin/env python
from mixpanel import Mixpanel
from mixpanel_async import AsyncBufferedConsumer
consumer = AsyncBufferedConsumer()
mp = Mixpanel(YOUR_TOKEN, consumer=consumer)
# tracks an event with certain properties
mp.track('distinct_id', 'event name', {'color' : 'blue', 'size': 'large'})
consumer.flush(async=False)
# all events are flushed and process ends
Bugs
If you find an issue, let us know in the issues section!
Contributing
From the Rubinius contribution page:
Writing code and participating should be fun, not an exercise in perseverance. Stringent commit polices, for whatever their other qualities may bring, also mean longer turnaround times.
Submit a patch and once it’s accepted, you’ll get commit access to the repository. Feel free to fork the repository and send a pull request, once it’s merged in you’ll get added. If not, feel free to bug jessepollak about it.
How To Contribute
Clone: git@github.com:jessepollak/mixpanel-python-async.git
Create a topic branch: git checkout -b awesome_feature
Commit away (and add unit tests for any code your write).
Keep up to date: git fetch && git rebase origin/master.
Run the tests: python setup.py test
Once you’re ready:
Fork the project on GitHub
Add your repository as a remote: git remote add your_remote your_repo
Push up your branch: git push your_remote awesome_feature
Create a Pull Request for the topic branch, asking for review.
Once it’s accepted:
If you want access to the core repository feel free to ask! Then you can change origin to point to the Read+Write URL:
git remote set-url origin git@github.com:jessepollak/mixpanel-python-async.git
Otherwise, you can continue to hack away in your own fork.
thanks to `rubygems <https://github.com/rubygems/rubygems.org>`__ for inspiration of our guidelines
Additional Information
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for mixpanel-py-async-0.0.5.macosx-10.10-intel.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f7fd78898596ec04adc21641efc61decd75c893f73d291d87701bb69c446125 |
|
MD5 | c51158848b33cc5f18380a566bd93b0a |
|
BLAKE2b-256 | d4ae6fbf061d37f1dccc07316f5937292f1e363e489b7989a9822f71180288c1 |