Skip to main content

RESTful Python Client for Google Cloud Datastore

Project description

Latest PyPI Version Python Version Support

Installation

$ pip install --upgrade gcloud-rest-datastore

Usage

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

from gcloud.rest.datastore import Datastore
from gcloud.rest.datastore import Direction
from gcloud.rest.datastore import Filter
from gcloud.rest.datastore import GQLQuery
from gcloud.rest.datastore import Key
from gcloud.rest.datastore import PathElement
from gcloud.rest.datastore import PropertyFilter
from gcloud.rest.datastore import PropertyFilterOperator
from gcloud.rest.datastore import PropertyOrder
from gcloud.rest.datastore import Query
from gcloud.rest.datastore import Value

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 = ds.lookup([key1, key2])

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

# or build your own mutation sequences with full transaction support
transaction = 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'}),
    ]
    ds.commit(transaction, mutations=[mutation])
except Exception:
    ds.rollback(transaction)

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

# query support
property_filter = PropertyFilter(prop='answer',
                                 operator=PropertyFilterOperator.EQUAL,
                                 value=Value(42))
property_order = PropertyOrder(prop='length',
                               direction=Direction.DESCENDING)
query = Query(kind='the_meaning_of_life',
              query_filter=Filter(property_filter),
              order=property_order)
results = ds.runQuery(query, session=s)

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

Custom Subclasses

gcloud-rest-datastore provides class interfaces mirroring all official Google API types, ie. Key and PathElement, Entity and EntityResult, QueryResultBatch, and Value. 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:

class MyEntityKind(gcloud.rest.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-rest-datastore to serialize/deserialize from this custom entity class with:

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

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

class MyVeryCustomDatastore(gcloud.rest.datastore.Datastore):
    datastore_operation_kind = DatastoreOperation
    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
    value_kind = Value
    value_kind.key_kind = Key

class MyVeryCustomQuery(gcloud.rest.datastore.Query):
    value_kind = Value

class MyVeryCustomGQLQuery(gcloud.rest.datastore.GQLQuery):
    value_kind = Value

You can then drop-in the MyVeryCustomDatastore class anywhere where you previously used Datastore and do the same for Query and GQLQuery.

To override any sub-key, you’ll need to override any parents which use it. For example, if you want to use a custom Key kind and be able to use queries with it, you will need to implement your own Value, Query, and GQLQuery classes and wire them up to the rest of the custom classes:

class MyKey(gcloud.rest.datastore.Key):
    pass

class MyValue(gcloud.rest.datastore.Value):
    key_kind = MyKey

class MyEntity(gcloud.rest.datastore.Entity):
    key_kind = MyKey
    value_kind = MyValue

class MyEntityResult(gcloud.rest.datastore.EntityResult):
    entity_kind = MyEntity

class MyQueryResultBatch(gcloud.rest.datastore.QueryResultBatch):
    entity_result_kind = MyEntityResult

class MyDatastore(gcloud.rest.datastore.Datastore):
    key_kind = MyKey
    entity_result_kind = MyEntityResult
    query_result_batch = MyQueryResultBatch
    value_kind = MyValue

class MyQuery(gcloud.rest.datastore.Query):
    value_kind = MyValue

class MyGQLQuery(gcloud.rest.datastore.GQLQuery):
    value_kind = MyValue

Contributing

Please see our contributing guide.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gcloud-rest-datastore-1.1.0.tar.gz (18.8 kB view details)

Uploaded Source

Built Distribution

gcloud_rest_datastore-1.1.0-py2.py3-none-any.whl (25.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gcloud-rest-datastore-1.1.0.tar.gz.

File metadata

  • Download URL: gcloud-rest-datastore-1.1.0.tar.gz
  • Upload date:
  • Size: 18.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for gcloud-rest-datastore-1.1.0.tar.gz
Algorithm Hash digest
SHA256 427526fb164c60139b909e586a1036e1a7cd4d0794bc34a7d7691b7d9520f3ac
MD5 b7276e3441dd3df5daca5b6a081dd92e
BLAKE2b-256 d5141ea0cc04931a7acdd772115dd6d10128b3c5fbe84d1df6099d9eb2da4e0c

See more details on using hashes here.

File details

Details for the file gcloud_rest_datastore-1.1.0-py2.py3-none-any.whl.

File metadata

  • Download URL: gcloud_rest_datastore-1.1.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 25.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for gcloud_rest_datastore-1.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 14f231d5288b19c455a66ef4204e1f220084404f276f1a21628cbc2aa37abdd2
MD5 ab5b7170b59e85d85336ce8348fadea4
BLAKE2b-256 8ece3dbf040a64dfd15bd271f498ae4f1cf6c54738a0ac7d59f88d877700d268

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page