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Python package for using Airship Real-Time Data Streaming

Project description


uaconnect is the official Python library for using the Airship Real-Time Data Streaming API (formerly known as Connect).


The best place to ask questions or report a problem is our support site:


Tested on Python 2.7 and 3.5, and should work with 3.3+.

For tests, uaconnect also needs Mock.

Running Tests

To run tests, run:

$ python -m unittest discover


See the Real-Time Data Streaming Getting Started Guide, as well as the Real-Time Data Streaming API docs for more details.

Basic usage

To use the library, instantiate a Consumer object with the application key, access token, and an offset recorder. You can then open the connection, and start reading events.

>>> import uaconnect
>>> consumer = uaconnect.Consumer(
...     'application_key', 'access_token',
...     uaconnect.FileRecorder('.offset'))
>>> consumer.connect()
>>> for event in
...     if event is None:
...        continue
>>>     print("Got event: {}".format(event))
>>>     consumer.ack(event)

Offset recorders

Offset recorders inherit from the abstract base class uaconnect.Recorder, implementing read_offset and write_offset methods. One recorder is included in the library, FileRecorder, which stores the offest on disk. In the uaconnect.ext.redisrecorder package there is an example implementation of using an Redis instance to store the offset.

ack calls should be placed depending on whether in a failure scenario your app wishes to possibly replay an already handled event, or risk dropping one. For the latter, call ack as soon as the event is read; for the former, call ack only after the event has been fully handled.

Advanced options when connecting

Airship Real-Time Data Streaming supports a variety of options when connecting to make sure that you’re only consuming the data that you want. uaconnect makes it easy to use these connection parameters and filters.

Specifying offsets

One of the advantages of Airship Real-Time Data Streaming is that you can resume from a specific place in the RTDS stream. This is done by specifying the offset that’s associated with the event. While uaconnect automatically tracks offsets for you with uaconnect.FileRecorder, you can also explicitly set an offset.

>>> import uaconnect
>>> recorder = uaconnect.FileRecorder(".offset") # or wherever you would like the file to exist
>>> recorder.write_offset("8865499359") # a randomly chosen offset
>>> recorder.read_offset()

An alternative here is to just write the offset explicitly into the file, or whatever Recorder subclass you’re using to track offsets.

$ cat .offset 886549935

Now, the next time you connect, it will pick up from that last offset.

If you’d like to manually set the offset for a connection to a known value instead of the recorder’s offset, set resume_offset like so:

>>> consumer.connect(resume_offset='123456789')

Using filters

Filters are a powerful way of filtering what specific information you’d like to see from the RTDS stream. You can filter by event type, device type, latency on an event, or even specific devices or notifications.

For a complete list of filters, and their descriptions, check out the documentation.

Here’s a brief example on how to use filters with uaconnect:

>>> import uaconnect
>>> consumer = uaconnect.Consumer(
...     'application_key', 'access_token',
...     uaconnect.FileRecorder('.offset'))
>>> f = uaconnect.Filter()
>>> f.types("PUSH_BODY", "SEND") # only receive PUSH_BODY and SEND events.
>>> consumer.add_filter(f)
>>> consumer.connect()

Project details

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