def __init__(self, dataset_id=None, namespace=None, connection=None):
dataset_id = _determine_default_dataset_id(dataset_id)
if dataset_id is None:
raise EnvironmentError('Dataset ID could not be inferred.')
self.dataset_id = dataset_id
if connection is None:
connection = Connection.from_environment()
self.connection = connection
self._batch_stack = _LocalStack()
self.namespace = namespace
def __init__(self, dataset_id=None, namespace=None, connection=None):
dataset_id = _determine_default_dataset_id(dataset_id)
if dataset_id is None:
raise EnvironmentError('Dataset ID could not be inferred.')
self.dataset_id = dataset_id
if connection is None:
connection = Connection.from_environment()
self.connection = connection
self._batch_stack = _LocalStack()
self.namespace = namespace
def get_connection():
"""Shortcut method to establish a connection to the Cloud Datastore.
Use this if you are going to access several datasets
with the same set of credentials (unlikely):
>>> from gcloud import datastore
>>> connection = datastore.get_connection()
>>> key1 = datastore.Key('Kind', 1234, dataset_id='dataset1')
>>> key2 = datastore.Key('Kind', 1234, dataset_id='dataset2')
>>> entity1 = datastore.get(key1, connection=connection)
>>> entity2 = datastore.get(key2, connection=connection)
:rtype: :class:`gcloud.datastore.connection.Connection`
:returns: A connection defined with the proper credentials.
"""
return Connection.from_environment()
