Metadata-Version: 2.1
Name: gcloud-aio-datastore
Version: 2.1.0
Summary: Asyncio Python Client for Google Cloud Datastore
Home-page: https://github.com/talkiq/gcloud-aio
Author: TalkIQ
Author-email: engineering@talkiq.com
License: MIT License
Platform: Posix; MacOS X; Windows
Classifier: Development Status :: 4 - Beta
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: Topic :: Internet
Requires-Python: >= 3.6
Requires-Dist: aiohttp (<4.0.0,>=2.0.0)
Requires-Dist: gcloud-aio-auth (<2.0.0,>=1.0.0)

Asyncio Python Client for Google Cloud Datastore
================================================

|pypi| |pythons|

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

.. code-block:: console

    $ pip install --upgrade gcloud-aio-datastore

Usage
-----

We're still working on documentation; for now, this should help get you
started:

.. code-block:: python

    from gcloud.aio.datastore import Datastore
    from gcloud.aio.datastore import Key
    from gcloud.aio.datastore import PathElement
    from gcloud.aio.datastore import GQLQuery

    ds = Datastore('my-gcloud-project', '/path/to/creds.json')
    key1 = Key('my-gcloud-project', [PathElement('Kind', 'entityname')])
    key2 = Key('my-gcloud-project', [PathElement('Kind', 'entityname2')])

    # batched lookups
    entities = await ds.lookup([key1, key2])

    # convenience functions for any datastore mutations
    await ds.insert(key1, {'a_boolean': True, 'meaning_of_life': 41})
    await ds.update(key1, {'a_boolean': True, 'meaning_of_life': 42})
    await ds.upsert(key1, {'animal': 'aardvark'})
    await ds.delete(key1)

    # or build your own mutation sequences with full transaction support
    transaction = await ds.beginTransaction()
    try:
        mutations = [
            ds.make_mutation(Operation.INSERT, key1, properties={'animal': 'sloth'}),
            ds.make_mutation(Operation.UPSERT, key1, properties={'animal': 'aardvark'}),
            ds.make_mutation(Operation.INSERT, key2, properties={'animal': 'aardvark'}),
        ]
        await ds.commit(transaction, mutations=[mutation])
    except Exception:
        await ds.rollback(transaction)

    # support for partial keys
    partial_key = Key('my-gcloud-project', [PathElement('Kind')])
    # and ID allocation or reservation
    allocated_keys = await ds.allocateIds([partial_key])
    await ds.reserveIds(allocated_keys)

    # query support
    query = GQLQuery('SELECT * FROM the_meaning_of_life WHERE answer = @answer',
                     named_bindings={'answer': 42})
    results = await ds.runQuery(query, session=s)

Custom Subclasses
~~~~~~~~~~~~~~~~~

``gcloud-aio-datastore`` provides class interfaces mirroring all official
Google API types, ie. ``Key`` and ``PathElement``, ``Entity`` and
``EntityResult``, and ``QueryResultBatch``. These types will be returned from
arbitrary Datastore operations, for example ``Datastore.allocateIds(...)`` will
return a list of ``Key`` entities.

For advanced usage, all of these datatypes may be overloaded. A common use-case
may be to deserialize entities into more specific classes. For example, given a
custom entity class such as:

.. code-block:: python

    class MyEntityKind(gcloud.aio.datastore.Entity):
        def __init__(self, key, properties = None) -> None:
            self.key = key
            self.is_an_aardvark = (properties or {}).get('aardvark', False)

        def __repr__(self):
            return "I'm an aardvark!" if self.is_an_aardvark else "Sorry, nope"

We can then configure ``gcloud-aio-datastore`` to serialize/deserialize from
this custom entity class with:

.. code-block:: python

    class MyCustomDatastore(gcloud.aio.datastore.Datastore):
        entity_result_kind.entity_kind = MyEntityKind

The full list of classes which may be overridden in this way is:

.. code-block:: python

    class MyVeryCustomDatastore(gcloud.aio.datastore.Datastore):
        entity_result_kind = EntityResult
        entity_result_kind.entity_kind = Entity
        entity_result_kind.entity_kind.key_kind = Key
        key_kind = Key
        key_kind.path_element_kind = PathElement
        query_result_batch_kind = QueryResultBatch
        query_result_batch_kind.entity_result_kind = EntityResult

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

Please see our `contributing guide`_.

.. _contributing guide: https://github.com/talkiq/gcloud-aio/blob/master/.github/CONTRIBUTING.rst

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

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


