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mixpanel-py-async 0.0.1

Python library for using Mixpanel asynchronously

Latest Version: 0.1.0

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.

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 AsynBufferedConsumer

mp = Mixpanel(YOUR_TOKEN, consumer=AsyncBufferedConsumer())

# tracks an event with certain properties
mp.track('button clicked', {'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 AsynBufferedConsumer

consumer = AsyncBufferedConsumer()
mixpanel = Mixpanel(YOUR_TOKEN, consumer=consumer)

# tracks an event with certain properties
mp.track('button clicked', {'color' : 'blue', 'size': 'large'})

# all events are flushed and process ends


If you find an issue, let us know in the issues section!


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: ``
* Create a topic branch: `git checkout -b awesome_feature`
* Commit away.
* Keep up to date: `git fetch && git rebase origin/master`.

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

Otherwise, you can continue to hack away in your own fork.

*thanks to [rubygems]( for inspiration of our guidelines*

Additional Information

[Mixpanel python docs](
[Mixpanel client libary](  
File Type Py Version Uploaded on Size
mixpanel-py-async-0.0.1.macosx-10.9-intel.exe (md5) MS Windows installer any 2014-01-22 71KB
mixpanel-py-async-0.0.1.tar.gz (md5) Source 2014-01-22 5KB