def __new__(
cls,
client,
eventloop=None,
stub=None,
batches=None,
commit_batches=None,
transaction=None,
):
if eventloop is None:
eventloop = _eventloop.EventLoop()
if stub is None:
stub = _datastore_api.make_stub(client)
if batches is None:
batches = {}
if commit_batches is None:
commit_batches = {}
return super(_Context, cls).__new__(
cls,
client=client,
eventloop=eventloop,
stub=stub,
batches=batches,
commit_batches=commit_batches,
transaction=transaction,
)
def __new__(
cls,
client,
eventloop=None,
stub=None,
batches=None,
commit_batches=None,
transaction=None,
cache=None,
cache_policy=None,
global_cache=None,
global_cache_policy=None,
global_cache_timeout_policy=None,
datastore_policy=None,
on_commit_callbacks=None,
legacy_data=True,
):
# Prevent circular import in Python 2.7
from google.cloud.ndb import _cache
from google.cloud.ndb import _datastore_api
if eventloop is None:
eventloop = _eventloop.EventLoop()
if stub is None:
stub = _datastore_api.make_stub(client)
if batches is None:
batches = {}
if commit_batches is None:
commit_batches = {}
# Create a cache and, if an existing cache was passed into this
# method, duplicate its entries.
new_cache = _cache.ContextCache()
if cache:
new_cache.update(cache)
context = super(_Context, cls).__new__(
cls,
client=client,
eventloop=eventloop,
stub=stub,
batches=batches,
commit_batches=commit_batches,
transaction=transaction,
cache=new_cache,
global_cache=global_cache,
on_commit_callbacks=on_commit_callbacks,
legacy_data=legacy_data,
)
context.set_cache_policy(cache_policy)
context.set_global_cache_policy(global_cache_policy)
context.set_global_cache_timeout_policy(global_cache_timeout_policy)
context.set_datastore_policy(datastore_policy)
return context
def __new__(
cls,
client,
eventloop=None,
stub=None,
batches=None,
commit_batches=None,
transaction=None,
cache=None,
cache_policy=None,
):
if eventloop is None:
eventloop = _eventloop.EventLoop()
if stub is None:
stub = _datastore_api.make_stub(client)
if batches is None:
batches = {}
if commit_batches is None:
commit_batches = {}
# Create a cache and, if an existing cache was passed into this
# method, duplicate its entries.
if cache:
new_cache = _Cache()
new_cache.update(cache)
cache = new_cache
else:
cache = _Cache()
context = super(_Context, cls).__new__(
cls,
client=client,
eventloop=eventloop,
stub=stub,
batches=batches,
commit_batches=commit_batches,
transaction=transaction,
cache=cache,
)
context.set_cache_policy(cache_policy)
return context