Metadata-Version: 2.1
Name: gcloud-aio-pubsub
Version: 3.0.0
Summary: Python Client for Google Cloud Pub/Sub
Home-page: https://github.com/talkiq/gcloud-aio
Author: Vi Engineering
Author-email: voiceai-eng@dialpad.com
License: MIT License
Platform: Posix; MacOS X; Windows
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Internet
Requires-Python: >= 3.6
Requires-Dist: gcloud-aio-auth (<4.0.0,>=3.3.0)
Requires-Dist: google-cloud-pubsub (<2.0.0,>=0.29.4)

(Asyncio OR Threadsafe) Python Client for Google Cloud Pub/Sub
==============================================================

    This is a shared codebase for ``gcloud-aio-pubsub`` and
    ``gcloud-rest-pubsub``

|pypi| |pythons-aio| |pythons-rest|

Installation
------------

.. code-block:: console

    $ pip install --upgrade gcloud-{aio,rest}-pubsub

Usage
-----

Subscriber
~~~~~~~~~~

The official Google publisher returns a future which is mostly useable as-is.
``gcloud-rest`` returns the future without change while ``gcloud-aio`` wraps it in ``asyncio`` terms.

An HTTP-oriented version, in keeping with the other ``gcloud-{aio,rest}-*`` libraries,
will likely be coming soon -- though our current approach works reasonably well
for allowing the official ``grpc`` client to be used under ``asyncio``, we
continue to see threading oddities now and again which we've not been able to
solve. As such, we do not wholeheartedly recommend using the
``SubscriberClient`` of this library in production, though a resilient enough
environment for your use-case may be possible.

Here's the rough usage pattern for subscribing:

.. code-block:: python

    from gcloud.aio.pubsub import SubscriberClient
    from gcloud.aio.pubsub import SubscriberMessage

    client = SubscriberClient()
    # create subscription if it doesn't already exist
    client.create_subscription(
        'projects/<project_name>/subscriptions/<subscription_name>',
        'projects/<project_name>/topics/<topic_name>')

    async def message_callback(message: SubscriberMessage) -> None:
        try:
            # just an example: process the message however you need to here...
            result = handle(message)
            await upload_result(result)
        except Exception:
            message.nack()
        else:
            message.ack()

    # subscribe to the subscription, receiving a Future that acts as a keepalive
    keep_alive = client.subscribe(
        'projects/<project_name>/subscriptions/<subscription_name>',
        message_callback)

    # have the client run forever, pulling messages from this subscription,
    # passing them to the specified callback function, and wrapping it in an
    # asyncio task.
    client.run_forever(keep_alive)

Configuration
^^^^^^^^^^^^^

Our create_subscription method is a thin wrapper and thus supports almost all
keyword configuration arguments from the official pubsub client which you can
find in the `official Google documentation`_.

Since the underlying Google implementation of ``Scheduler`` only allows for the
concrete ``ThreadScheduler`` which is also the default, we have opted not to
expose this configuration option. Additionally, we would like to fully
deprecate said Google implementation in favour of a fully ``asyncio``
implementation which uses the event loop as the scheduler.

When subscribing to a subscription you can optionally pass in a ``FlowControl``
instance.

.. code-block:: python

    example_flow_control = FlowControl(
        max_bytes=100*1024*1024,
        max_messages=1,
        max_lease_duration=10,
        max_duration_per_lease_extension=0,
    )

    keep_alive = client.subscribe(
        'projects/<project_name>/subscriptions/<subscription_name>',
        message_callback,
        flow_control=example_flow_control
    )

Understanding how modifying ``FlowControl`` affects how your pubsub runtime
will operate can be confusing so here's a handy dandy guide!

Welcome to @TheKevJames and @jonathan-johnston's guide to configuring Google
Pubsub Subscription policies! Settle in, grab a drink, and stay a while.

The Subscriber is controlled by a ``FlowControl`` configuration tuple defined `in gcloud-aio <https://github.com/talkiq/gcloud-aio/blob/pubsub-2.0.0/pubsub/gcloud/aio/pubsub/subscriber_client.py#L33>`_ and subsequently in
`google-cloud-pubsub <https://github.com/googleapis/python-pubsub/blob/v1.7.0/google/cloud/pubsub_v1/types.py#L124-L166>`_.

That configuration object ``f`` gets used by the ``Subscriber`` in the
following ways:

Max Concurrency
_______________

The subscriber stops leasing new tasks whenever too many messages or too many
message bytes have been leased for currently leased tasks ``x``:

.. code-block:: python

    max(
        len(x) / f.max_messages,
        sum(x.bytes) / f.max_bytes
    ) >= 1.0

And leasing is resumed when there is some breathing room in terms of message
counts or byte counts:

.. code-block:: python

    max(
        len(x) / f.max_messages,
        sum(x.bytes) / f.max_bytes
    ) < 0.8

In practice, this means we should set these values with the following
restrictions:

- the maximum number of concurrently leased messages at peak is:
  ``= f.max_messages + f.max_messages mod batch_size``
- the maximum memory usage of our leased messages at peak is:
  ``= f.max_bytes + f.max_bytes mod (batch_size * bytes_per_messages)``
- these values are constrain each other, ie. we limit ourselves to the lesser
  of these values, with ``batch_size`` calculated dynamically in PubSub itself

Aside: it seems like OCNs on Pubsub are ~1538 bytes each.

Leasing Requests
________________

When leasing new tasks, the ``Subscriber`` simply continues to request messages
from the PubSub subscription until the aforementioned message concurrency or
total message bytes limits are hit. At that point, the message consumer is
paused while the messages are processed and resumed when the resume condition
is met.

Message processing and message leasing are carried out in parallel. When a
message batch is received from the PubSub subscription the messages are
scheduled for processing immediately on a
``concurrent.futures.ThreadPoolExecutor``. This ``Scheduler`` should be filling
up as fast as grpc can make requests to Google Pubsub, which should be Fast
Enough(tm) to keep it filled, given *those* requests are batched.

Task Expiry
___________

Any task which has not been acked or nacked counts against the current leased
task count. Our worker thread should ensure all tasks are acked or nacked, but
the ``FlowControl`` config allows us to handle any other cases. Note that
leasing works as follows:

- When a subscriber leases a task, Google Pubsub will not re-lease that
  task until ``subscription.ack_deadline_seconds = 10`` (configurable
  per-subscription) seconds have passed.
- If a client calls ``ack()`` on a task, it is immediately removed from Google
  Pubsub.
- If a client calls ``nack()`` on a task, it immediately allows Google Pubsub
  to re-lease that task to a new client. The client drops the task from its
  memory.
- If ``f.max_lease_duration`` passes between a message being leased and acked,
  the client will send a ``nack`` (see above workflow). It will NOT drop the
  task from its memory -- eg. the ``worker(task)`` process may still be run.

Notes:

- all steps are best-effort, eg. read "a task will be deleted" as "a task will
  probably get deleted, if the distributed-system luck is with you"
- in the above workflow "Google Pubsub" refers to the server-side system, eg.
  managed by Google where the tasks are actually stored.

In practice, we should thus set ``f.max_lease_duration`` to no lower than
our 95% percentile task latency at high load. The lower this value is,
the better our throughput will be in extreme cases.

Publisher
~~~~~~~~~

The ``PublisherClient`` is a dead-simple alternative to the official Google
Cloud Pub/Sub publisher client. The main design goal was to eliminate all the
additional gRPC overhead implemented by the upstream client.

If migrating between this library and the official one, the main difference is
this: the ``gcloud-{aio,rest}-pubsub`` publisher's ``.publish()`` method *immediately*
publishes the messages you've provided, rather than maintaining our own
publishing queue, implementing batching and flow control, etc. If you're
looking for a full-featured publishing library with all the bells and whistles
built in, you may be interested in the upstream provider. If you're looking to
manage your own batching / timeouts / retry / threads / etc, this library
should be a bit easier to work with.

Sample usage:

.. code-block:: python

    from gcloud.aio.pubsub import PubsubMessage
    from gcloud.aio.pubsub import PublisherClient

    async with aiohttp.ClientSession() as session:
        client = PublisherClient(session=session)

        topic = client.topic_path('my-gcp-project', 'my-topic-name')

        messages = [
            PubsubMessage(b'payload', attribute='value'),
            PubsubMessage(b'other payload', other_attribute='whatever',
                          more_attributes='something else'),
        ]
        response = await client.publish(topic, messages)
        # response == {'messageIds': ['1', '2']}

Emulators
^^^^^^^^^

For testing purposes, you may want to use ``gcloud-aio-pubsub`` along with a
local GCS emulator. Setting the ``$PUBSUB_EMULATOR_HOST`` environment variable
to the local address of your emulator should be enough to do the trick.

For example, using the official Google Pubsub emulator:

.. code-block:: console

    gcloud beta emulators pubsub start --host-port=0.0.0.0:8681
    export PUBSUB_EMULATOR_HOST='0.0.0.0:8681'

Any ``gcloud-aio-pubsub`` Publisher requests made with that environment
variable set will query the emulator instead of the official GCS APIs.

For easier ergonomics, you may be interested in
`messagebird/gcloud-pubsub-emulator`_.

Contributing
------------

Please see our `contributing guide`_.

.. _contributing guide: https://github.com/talkiq/gcloud-aio/blob/master/.github/CONTRIBUTING.rst
.. _messagebird/gcloud-pubsub-emulator: https://github.com/marcelcorso/gcloud-pubsub-emulator#gcloud-pubsub-emulator
.. _official Google documentation: https://github.com/googleapis/google-cloud-python/blob/11c72ade8b282ae1917fba19e7f4e0fe7176d12b/pubsub/google/cloud/pubsub_v1/gapic/subscriber_client.py#L236

.. |pypi| image:: https://img.shields.io/pypi/v/gcloud-aio-pubsub.svg?style=flat-square
    :alt: Latest PyPI Version
    :target: https://pypi.org/project/gcloud-aio-pubsub/

.. |pythons-aio| image:: https://img.shields.io/pypi/pyversions/gcloud-aio-pubsub.svg?style=flat-square&label=python (aio)
    :alt: Python Version Support (gcloud-aio-pubsub)
    :target: https://pypi.org/project/gcloud-aio-pubsub/

.. |pythons-rest| image:: https://img.shields.io/pypi/pyversions/gcloud-rest-pubsub.svg?style=flat-square&label=python (rest)
    :alt: Python Version Support (gcloud-rest-pubsub)
    :target: https://pypi.org/project/gcloud-rest-pubsub/


