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train | Future.done | Return True the future is done, False otherwise.
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return self._exception != self._SENTINEL or self._result != self._SEN... | def done(self):
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train | Future.exception | Return the exception raised by the call, if any.
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train | Future.add_done_callback | Attach the provided callable to the future.
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train | Future.set_result | Set the result of the future to the provided result.
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Args:
result (Any): The result
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# Sanity check: A future can only complete once.
if self.done():
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train | Future.set_exception | Set the result of the future to the given exception.
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exception (:exc:`Exception`): The exception raised. | pubsub/google/cloud/pubsub_v1/futures.py | def set_exception(self, exception):
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train | Future._trigger | Trigger all callbacks registered to this Future.
This method is called internally by the batch once the batch
completes.
Args:
message_id (str): The message ID, as a string. | pubsub/google/cloud/pubsub_v1/futures.py | def _trigger(self):
"""Trigger all callbacks registered to this Future.
This method is called internally by the batch once the batch
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Args:
message_id (str): The message ID, as a string.
"""
self._completed.set()
for callback in self._callb... | def _trigger(self):
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message_id (str): The message ID, as a string.
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train | SyncTransport.send | Overrides transport.send().
:type record: :class:`logging.LogRecord`
:param record: Python log record that the handler was called with.
:type message: str
:param message: The message from the ``LogRecord`` after being
formatted by the associated log formatters.
... | logging/google/cloud/logging/handlers/transports/sync.py | def send(
self, record, message, resource=None, labels=None, trace=None, span_id=None
):
"""Overrides transport.send().
:type record: :class:`logging.LogRecord`
:param record: Python log record that the handler was called with.
:type message: str
:param message: The... | def send(
self, record, message, resource=None, labels=None, trace=None, span_id=None
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:param record: Python log record that the handler was called with.
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train | BigQueryStorageClient.create_read_session | Creates a new read session. A read session divides the contents of a
BigQuery table into one or more streams, which can then be used to read
data from the table. The read session also specifies properties of the
data to be read, such as a list of columns or a push-down filter describing
... | bigquery_storage/google/cloud/bigquery_storage_v1beta1/gapic/big_query_storage_client.py | def create_read_session(
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table_reference,
parent,
table_modifiers=None,
requested_streams=None,
read_options=None,
format_=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=... | def create_read_session(
self,
table_reference,
parent,
table_modifiers=None,
requested_streams=None,
read_options=None,
format_=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=... | [
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train | BigQueryStorageClient.read_rows | Reads rows from the table in the format prescribed by the read session.
Each response contains one or more table rows, up to a maximum of 10 MiB
per response; read requests which attempt to read individual rows larger
than this will fail.
Each request also returns a set of stream statis... | bigquery_storage/google/cloud/bigquery_storage_v1beta1/gapic/big_query_storage_client.py | def read_rows(
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Reads rows from the table in the format prescribed by the read session.
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train | BigQueryStorageClient.batch_create_read_session_streams | Creates additional streams for a ReadSession. This API can be used to
dynamically adjust the parallelism of a batch processing task upwards by
adding additional workers.
Example:
>>> from google.cloud import bigquery_storage_v1beta1
>>>
>>> client = bigquery_... | bigquery_storage/google/cloud/bigquery_storage_v1beta1/gapic/big_query_storage_client.py | def batch_create_read_session_streams(
self,
session,
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retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates additional streams for a ReadSession. This API can be... | def batch_create_read_session_streams(
self,
session,
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retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
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train | BigtableColumn.qualifier_encoded | Union[str, bytes]: The qualifier encoded in binary.
The type is ``str`` (Python 2.x) or ``bytes`` (Python 3.x). The module
will handle base64 encoding for you.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions.%28key%29.bigtableOptio... | bigquery/google/cloud/bigquery/external_config.py | def qualifier_encoded(self):
"""Union[str, bytes]: The qualifier encoded in binary.
The type is ``str`` (Python 2.x) or ``bytes`` (Python 3.x). The module
will handle base64 encoding for you.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.... | def qualifier_encoded(self):
"""Union[str, bytes]: The qualifier encoded in binary.
The type is ``str`` (Python 2.x) or ``bytes`` (Python 3.x). The module
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See
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train | BigtableColumnFamily.columns | List[:class:`~.external_config.BigtableColumn`]: Lists of columns
that should be exposed as individual fields.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions.(key).bigtableOptions.columnFamilies.columns
https://cloud.google.com/big... | bigquery/google/cloud/bigquery/external_config.py | def columns(self):
"""List[:class:`~.external_config.BigtableColumn`]: Lists of columns
that should be exposed as individual fields.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions.(key).bigtableOptions.columnFamilies.columns
... | def columns(self):
"""List[:class:`~.external_config.BigtableColumn`]: Lists of columns
that should be exposed as individual fields.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions.(key).bigtableOptions.columnFamilies.columns
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train | BigtableOptions.column_families | List[:class:`~.external_config.BigtableColumnFamily`]: List of
column families to expose in the table schema along with their types.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions.(key).bigtableOptions.columnFamilies
https://cloud.... | bigquery/google/cloud/bigquery/external_config.py | def column_families(self):
"""List[:class:`~.external_config.BigtableColumnFamily`]: List of
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See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions.(key).bigtableOptions... | def column_families(self):
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train | ExternalConfig.schema | List[:class:`~google.cloud.bigquery.schema.SchemaField`]: The schema
for the data.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions.(key).schema
https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#externalDataConfiguratio... | bigquery/google/cloud/bigquery/external_config.py | def schema(self):
"""List[:class:`~google.cloud.bigquery.schema.SchemaField`]: The schema
for the data.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.query.tableDefinitions.(key).schema
https://cloud.google.com/bigquery/docs/reference/rest/v2/ta... | def schema(self):
"""List[:class:`~google.cloud.bigquery.schema.SchemaField`]: The schema
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train | Query._make_order | Helper for :meth:`order_by`. | firestore/google/cloud/firestore_v1beta1/query.py | def _make_order(field_path, direction):
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See :meth:`~.firestore_v1beta1.client.Client.field_path` for
more information on **field paths**.
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train | Query.limit | Limit a query to return a fixed number of results.
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count (int): Maximum number of documents to return that match
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If the current query already has a limit set, this will overwrite it.
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count (int): Maximum number of documents to return that match
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Returns:
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"""Limit a query to return a fixed number of results.
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count (int): Maximum number of documents to return that match
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train | Query.offset | Skip to an offset in a query.
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num_to_skip (int): The number of results to skip at the beginning
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"""Skip to an offset in a query.
If the current query already has specified an offset, this will
overwrite it.
Args:
num_to_skip (int): The number of results to skip at the beginning
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... | def offset(self, num_to_skip):
"""Skip to an offset in a query.
If the current query already has specified an offset, this will
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num_to_skip (int): The number of results to skip at the beginning
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train | Query._cursor_helper | Set values to be used for a ``start_at`` or ``end_at`` cursor.
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The values will later be used in a query protobuf.
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train | Query.start_at | Start query results at a particular document value.
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"""Start query results at a particular document value.
The result set will **include** the document specified by
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If the current query already has specified a start cursor -- either
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"""Start query results at a particular document value.
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train | Query.start_after | Start query results after a particular document value.
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If the current query already has specified a start cursor -- either
via this method or
:meth:`~.firestore_v1beta1.query.Query.start_at` -- this ... | firestore/google/cloud/firestore_v1beta1/query.py | def start_after(self, document_fields):
"""Start query results after a particular document value.
The result set will **exclude** the document specified by
``document_fields``.
If the current query already has specified a start cursor -- either
via this method or
:meth:... | def start_after(self, document_fields):
"""Start query results after a particular document value.
The result set will **exclude** the document specified by
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If the current query already has specified a start cursor -- either
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train | Query.end_before | End query results before a particular document value.
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If the current query already has specified an end cursor -- either
via this method or
:meth:`~.firestore_v1beta1.query.Query.end_at` -- this will... | firestore/google/cloud/firestore_v1beta1/query.py | def end_before(self, document_fields):
"""End query results before a particular document value.
The result set will **exclude** the document specified by
``document_fields``.
If the current query already has specified an end cursor -- either
via this method or
:meth:`~.... | def end_before(self, document_fields):
"""End query results before a particular document value.
The result set will **exclude** the document specified by
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train | Query.end_at | End query results at a particular document value.
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``document_fields``.
If the current query already has specified an end cursor -- either
via this method or
:meth:`~.firestore_v1beta1.query.Query.end_before` -- this will... | firestore/google/cloud/firestore_v1beta1/query.py | def end_at(self, document_fields):
"""End query results at a particular document value.
The result set will **include** the document specified by
``document_fields``.
If the current query already has specified an end cursor -- either
via this method or
:meth:`~.firestor... | def end_at(self, document_fields):
"""End query results at a particular document value.
The result set will **include** the document specified by
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train | Query._filters_pb | Convert all the filters into a single generic Filter protobuf.
This may be a lone field filter or unary filter, may be a composite
filter or may be :data:`None`.
Returns:
google.cloud.firestore_v1beta1.types.\
StructuredQuery.Filter: A "generic" filter representing the
... | firestore/google/cloud/firestore_v1beta1/query.py | def _filters_pb(self):
"""Convert all the filters into a single generic Filter protobuf.
This may be a lone field filter or unary filter, may be a composite
filter or may be :data:`None`.
Returns:
google.cloud.firestore_v1beta1.types.\
StructuredQuery.Filter: A ... | def _filters_pb(self):
"""Convert all the filters into a single generic Filter protobuf.
This may be a lone field filter or unary filter, may be a composite
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train | Query._normalize_projection | Helper: convert field paths to message. | firestore/google/cloud/firestore_v1beta1/query.py | def _normalize_projection(projection):
"""Helper: convert field paths to message."""
if projection is not None:
fields = list(projection.fields)
if not fields:
field_ref = query_pb2.StructuredQuery.FieldReference(
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... | def _normalize_projection(projection):
"""Helper: convert field paths to message."""
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field_ref = query_pb2.StructuredQuery.FieldReference(
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train | Query._normalize_orders | Helper: adjust orders based on cursors, where clauses. | firestore/google/cloud/firestore_v1beta1/query.py | def _normalize_orders(self):
"""Helper: adjust orders based on cursors, where clauses."""
orders = list(self._orders)
_has_snapshot_cursor = False
if self._start_at:
if isinstance(self._start_at[0], document.DocumentSnapshot):
_has_snapshot_cursor = True
... | def _normalize_orders(self):
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orders = list(self._orders)
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if self._start_at:
if isinstance(self._start_at[0], document.DocumentSnapshot):
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train | Query._normalize_cursor | Helper: convert cursor to a list of values based on orders. | firestore/google/cloud/firestore_v1beta1/query.py | def _normalize_cursor(self, cursor, orders):
"""Helper: convert cursor to a list of values based on orders."""
if cursor is None:
return
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raise ValueError(_NO_ORDERS_FOR_CURSOR)
document_fields, before = cursor
order_keys = [order.field.fi... | def _normalize_cursor(self, cursor, orders):
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train | Query._to_protobuf | Convert the current query into the equivalent protobuf.
Returns:
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Returns:
google.cloud.firestore_v1beta1.types.StructuredQuery: The
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train | Query.get | Deprecated alias for :meth:`stream`. | firestore/google/cloud/firestore_v1beta1/query.py | def get(self, transaction=None):
"""Deprecated alias for :meth:`stream`."""
warnings.warn(
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DeprecationWarning,
stacklevel=2,
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return self.stream(transaction=transaction) | def get(self, transaction=None):
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warnings.warn(
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train | Query.stream | Read the documents in the collection that match this query.
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messages.
.. note::
The underlying stream of responses will time out after
... | firestore/google/cloud/firestore_v1beta1/query.py | def stream(self, transaction=None):
"""Read the documents in the collection that match this query.
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.. note::
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train | Query.on_snapshot | Monitor the documents in this collection that match this query.
This starts a watch on this query using a background thread. The
provided callback is run on the snapshot of the documents.
Args:
callback(~.firestore.query.QuerySnapshot): a callback to run when
a chan... | firestore/google/cloud/firestore_v1beta1/query.py | def on_snapshot(self, callback):
"""Monitor the documents in this collection that match this query.
This starts a watch on this query using a background thread. The
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train | _get_model_reference | Constructs a ModelReference.
Args:
model_id (str): the ID of the model.
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A ModelReference for a model in this dataset. | bigquery/google/cloud/bigquery/dataset.py | def _get_model_reference(self, model_id):
"""Constructs a ModelReference.
Args:
model_id (str): the ID of the model.
Returns:
google.cloud.bigquery.model.ModelReference:
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"""Constructs a ModelReference.
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model_id (str): the ID of the model.
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google.cloud.bigquery.model.ModelReference:
A ModelReference for a model in this dataset.
"""
return ModelReference.from_api_repr(
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train | AccessEntry.to_api_repr | Construct the API resource representation of this access entry
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Returns:
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train | AccessEntry.from_api_repr | Factory: construct an access entry given its API representation
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train | DatasetReference.from_api_repr | Factory: construct a dataset reference given its API representation
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Dataset reference resource representation returned from the API
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train | DatasetReference.from_string | Construct a dataset reference from dataset ID string.
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dataset_id (str):
A dataset ID in standard SQL format. If ``default_project``
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train | Dataset.access_entries | List[google.cloud.bigquery.dataset.AccessEntry]: Dataset's access
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train | Dataset.created | Union[datetime.datetime, None]: Datetime at which the dataset was
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creation_time = self._properties.get("creationTime")
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creation_time = self._properties.get("creationTime")
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modified_time = self._properties.get("lastModifiedTime")
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train | Dataset.from_api_repr | Factory: construct a dataset given its API representation
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Dataset resource representation returned from the API
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train | LifecycleRuleSetStorageClass.from_api_repr | Factory: construct instance from resource.
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train | IAMConfiguration.from_api_repr | Factory: construct instance from resource.
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train | IAMConfiguration.bucket_policy_only_locked_time | Deadline for changing :attr:`bucket_policy_only_enabled` from true to false.
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train | Bucket._set_properties | Set the properties for the current object.
:type value: dict or :class:`google.cloud.storage.batch._FutureDict`
:param value: The properties to be set. | storage/google/cloud/storage/bucket.py | def _set_properties(self, value):
"""Set the properties for the current object.
:type value: dict or :class:`google.cloud.storage.batch._FutureDict`
:param value: The properties to be set.
"""
self._label_removals.clear()
return super(Bucket, self)._set_properties(value) | def _set_properties(self, value):
"""Set the properties for the current object.
:type value: dict or :class:`google.cloud.storage.batch._FutureDict`
:param value: The properties to be set.
"""
self._label_removals.clear()
return super(Bucket, self)._set_properties(value) | [
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train | Bucket.blob | Factory constructor for blob object.
.. note::
This will not make an HTTP request; it simply instantiates
a blob object owned by this bucket.
:type blob_name: str
:param blob_name: The name of the blob to be instantiated.
:type chunk_size: int
:param chunk_... | storage/google/cloud/storage/bucket.py | def blob(
self,
blob_name,
chunk_size=None,
encryption_key=None,
kms_key_name=None,
generation=None,
):
"""Factory constructor for blob object.
.. note::
This will not make an HTTP request; it simply instantiates
a blob object owne... | def blob(
self,
blob_name,
chunk_size=None,
encryption_key=None,
kms_key_name=None,
generation=None,
):
"""Factory constructor for blob object.
.. note::
This will not make an HTTP request; it simply instantiates
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train | Bucket.notification | Factory: create a notification resource for the bucket.
See: :class:`.BucketNotification` for parameters.
:rtype: :class:`.BucketNotification` | storage/google/cloud/storage/bucket.py | def notification(
self,
topic_name,
topic_project=None,
custom_attributes=None,
event_types=None,
blob_name_prefix=None,
payload_format=NONE_PAYLOAD_FORMAT,
):
"""Factory: create a notification resource for the bucket.
See: :class:`.BucketNot... | def notification(
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event_types=None,
blob_name_prefix=None,
payload_format=NONE_PAYLOAD_FORMAT,
):
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train | Bucket.create | Creates current bucket.
If the bucket already exists, will raise
:class:`google.cloud.exceptions.Conflict`.
This implements "storage.buckets.insert".
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.storage.client.Clie... | storage/google/cloud/storage/bucket.py | def create(self, client=None, project=None, location=None):
"""Creates current bucket.
If the bucket already exists, will raise
:class:`google.cloud.exceptions.Conflict`.
This implements "storage.buckets.insert".
If :attr:`user_project` is set, bills the API request to that pr... | def create(self, client=None, project=None, location=None):
"""Creates current bucket.
If the bucket already exists, will raise
:class:`google.cloud.exceptions.Conflict`.
This implements "storage.buckets.insert".
If :attr:`user_project` is set, bills the API request to that pr... | [
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train | Bucket.patch | Sends all changed properties in a PATCH request.
Updates the ``_properties`` with the response from the backend.
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.storage.client.Client` or
``NoneType``
:par... | storage/google/cloud/storage/bucket.py | def patch(self, client=None):
"""Sends all changed properties in a PATCH request.
Updates the ``_properties`` with the response from the backend.
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.storage.client.Client` or
... | def patch(self, client=None):
"""Sends all changed properties in a PATCH request.
Updates the ``_properties`` with the response from the backend.
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.storage.client.Client` or
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train | Bucket.get_blob | Get a blob object by name.
This will return None if the blob doesn't exist:
.. literalinclude:: snippets.py
:start-after: [START get_blob]
:end-before: [END get_blob]
If :attr:`user_project` is set, bills the API request to that project.
:type blob_name: str
... | storage/google/cloud/storage/bucket.py | def get_blob(
self, blob_name, client=None, encryption_key=None, generation=None, **kwargs
):
"""Get a blob object by name.
This will return None if the blob doesn't exist:
.. literalinclude:: snippets.py
:start-after: [START get_blob]
:end-before: [END get_blob... | def get_blob(
self, blob_name, client=None, encryption_key=None, generation=None, **kwargs
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"""Get a blob object by name.
This will return None if the blob doesn't exist:
.. literalinclude:: snippets.py
:start-after: [START get_blob]
:end-before: [END get_blob... | [
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train | Bucket.list_blobs | Return an iterator used to find blobs in the bucket.
If :attr:`user_project` is set, bills the API request to that project.
:type max_results: int
:param max_results:
(Optional) The maximum number of blobs in each page of results
from this request. Non-positive values a... | storage/google/cloud/storage/bucket.py | def list_blobs(
self,
max_results=None,
page_token=None,
prefix=None,
delimiter=None,
versions=None,
projection="noAcl",
fields=None,
client=None,
):
"""Return an iterator used to find blobs in the bucket.
If :attr:`user_projec... | def list_blobs(
self,
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page_token=None,
prefix=None,
delimiter=None,
versions=None,
projection="noAcl",
fields=None,
client=None,
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train | Bucket.list_notifications | List Pub / Sub notifications for this bucket.
See:
https://cloud.google.com/storage/docs/json_api/v1/notifications/list
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.storage.client.Client` or
``NoneType... | storage/google/cloud/storage/bucket.py | def list_notifications(self, client=None):
"""List Pub / Sub notifications for this bucket.
See:
https://cloud.google.com/storage/docs/json_api/v1/notifications/list
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.stor... | def list_notifications(self, client=None):
"""List Pub / Sub notifications for this bucket.
See:
https://cloud.google.com/storage/docs/json_api/v1/notifications/list
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.stor... | [
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train | Bucket.delete | Delete this bucket.
The bucket **must** be empty in order to submit a delete request. If
``force=True`` is passed, this will first attempt to delete all the
objects / blobs in the bucket (i.e. try to empty the bucket).
If the bucket doesn't exist, this will raise
:class:`google... | storage/google/cloud/storage/bucket.py | def delete(self, force=False, client=None):
"""Delete this bucket.
The bucket **must** be empty in order to submit a delete request. If
``force=True`` is passed, this will first attempt to delete all the
objects / blobs in the bucket (i.e. try to empty the bucket).
If the bucke... | def delete(self, force=False, client=None):
"""Delete this bucket.
The bucket **must** be empty in order to submit a delete request. If
``force=True`` is passed, this will first attempt to delete all the
objects / blobs in the bucket (i.e. try to empty the bucket).
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train | Bucket.delete_blob | Deletes a blob from the current bucket.
If the blob isn't found (backend 404), raises a
:class:`google.cloud.exceptions.NotFound`.
For example:
.. literalinclude:: snippets.py
:start-after: [START delete_blob]
:end-before: [END delete_blob]
If :attr:`user_... | storage/google/cloud/storage/bucket.py | def delete_blob(self, blob_name, client=None, generation=None):
"""Deletes a blob from the current bucket.
If the blob isn't found (backend 404), raises a
:class:`google.cloud.exceptions.NotFound`.
For example:
.. literalinclude:: snippets.py
:start-after: [START del... | def delete_blob(self, blob_name, client=None, generation=None):
"""Deletes a blob from the current bucket.
If the blob isn't found (backend 404), raises a
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For example:
.. literalinclude:: snippets.py
:start-after: [START del... | [
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train | Bucket.delete_blobs | Deletes a list of blobs from the current bucket.
Uses :meth:`delete_blob` to delete each individual blob.
If :attr:`user_project` is set, bills the API request to that project.
:type blobs: list
:param blobs: A list of :class:`~google.cloud.storage.blob.Blob`-s or
... | storage/google/cloud/storage/bucket.py | def delete_blobs(self, blobs, on_error=None, client=None):
"""Deletes a list of blobs from the current bucket.
Uses :meth:`delete_blob` to delete each individual blob.
If :attr:`user_project` is set, bills the API request to that project.
:type blobs: list
:param blobs: A list... | def delete_blobs(self, blobs, on_error=None, client=None):
"""Deletes a list of blobs from the current bucket.
Uses :meth:`delete_blob` to delete each individual blob.
If :attr:`user_project` is set, bills the API request to that project.
:type blobs: list
:param blobs: A list... | [
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train | Bucket.copy_blob | Copy the given blob to the given bucket, optionally with a new name.
If :attr:`user_project` is set, bills the API request to that project.
:type blob: :class:`google.cloud.storage.blob.Blob`
:param blob: The blob to be copied.
:type destination_bucket: :class:`google.cloud.storage.bu... | storage/google/cloud/storage/bucket.py | def copy_blob(
self,
blob,
destination_bucket,
new_name=None,
client=None,
preserve_acl=True,
source_generation=None,
):
"""Copy the given blob to the given bucket, optionally with a new name.
If :attr:`user_project` is set, bills the API requ... | def copy_blob(
self,
blob,
destination_bucket,
new_name=None,
client=None,
preserve_acl=True,
source_generation=None,
):
"""Copy the given blob to the given bucket, optionally with a new name.
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train | Bucket.rename_blob | Rename the given blob using copy and delete operations.
If :attr:`user_project` is set, bills the API request to that project.
Effectively, copies blob to the same bucket with a new name, then
deletes the blob.
.. warning::
This method will first duplicate the data and then... | storage/google/cloud/storage/bucket.py | def rename_blob(self, blob, new_name, client=None):
"""Rename the given blob using copy and delete operations.
If :attr:`user_project` is set, bills the API request to that project.
Effectively, copies blob to the same bucket with a new name, then
deletes the blob.
.. warning:... | def rename_blob(self, blob, new_name, client=None):
"""Rename the given blob using copy and delete operations.
If :attr:`user_project` is set, bills the API request to that project.
Effectively, copies blob to the same bucket with a new name, then
deletes the blob.
.. warning:... | [
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train | Bucket.default_kms_key_name | Set default KMS encryption key for objects in the bucket.
:type value: str or None
:param value: new KMS key name (None to clear any existing key). | storage/google/cloud/storage/bucket.py | def default_kms_key_name(self, value):
"""Set default KMS encryption key for objects in the bucket.
:type value: str or None
:param value: new KMS key name (None to clear any existing key).
"""
encryption_config = self._properties.get("encryption", {})
encryption_config[... | def default_kms_key_name(self, value):
"""Set default KMS encryption key for objects in the bucket.
:type value: str or None
:param value: new KMS key name (None to clear any existing key).
"""
encryption_config = self._properties.get("encryption", {})
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train | Bucket.labels | Retrieve or set labels assigned to this bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets#labels
.. note::
The getter for this property returns a dict which is a *copy*
of the bucket's labels. Mutating that dict has no effect unless
you th... | storage/google/cloud/storage/bucket.py | def labels(self):
"""Retrieve or set labels assigned to this bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets#labels
.. note::
The getter for this property returns a dict which is a *copy*
of the bucket's labels. Mutating that dict has no ef... | def labels(self):
"""Retrieve or set labels assigned to this bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets#labels
.. note::
The getter for this property returns a dict which is a *copy*
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train | Bucket.labels | Set labels assigned to this bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets#labels
:type mapping: :class:`dict`
:param mapping: Name-value pairs (string->string) labelling the bucket. | storage/google/cloud/storage/bucket.py | def labels(self, mapping):
"""Set labels assigned to this bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets#labels
:type mapping: :class:`dict`
:param mapping: Name-value pairs (string->string) labelling the bucket.
"""
# If any labels have b... | def labels(self, mapping):
"""Set labels assigned to this bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets#labels
:type mapping: :class:`dict`
:param mapping: Name-value pairs (string->string) labelling the bucket.
"""
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train | Bucket.iam_configuration | Retrieve IAM configuration for this bucket.
:rtype: :class:`IAMConfiguration`
:returns: an instance for managing the bucket's IAM configuration. | storage/google/cloud/storage/bucket.py | def iam_configuration(self):
"""Retrieve IAM configuration for this bucket.
:rtype: :class:`IAMConfiguration`
:returns: an instance for managing the bucket's IAM configuration.
"""
info = self._properties.get("iamConfiguration", {})
return IAMConfiguration.from_api_repr(... | def iam_configuration(self):
"""Retrieve IAM configuration for this bucket.
:rtype: :class:`IAMConfiguration`
:returns: an instance for managing the bucket's IAM configuration.
"""
info = self._properties.get("iamConfiguration", {})
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train | Bucket.lifecycle_rules | Retrieve or set lifecycle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
.. note::
The getter for this property returns a list which contains
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"""Retrieve or set lifecycle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
.. note::
The getter for this property returns a list which conta... | def lifecycle_rules(self):
"""Retrieve or set lifecycle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
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train | Bucket.lifecycle_rules | Set lifestyle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
:type entries: list of dictionaries
:param entries: A sequence of mappings describing each lifecycle rule. | storage/google/cloud/storage/bucket.py | def lifecycle_rules(self, rules):
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See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
:type entries: list of dictionaries
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See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
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train | Bucket.add_lifecycle_delete_rule | Add a "delete" rule to lifestyle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
.. literalinclude:: snippets.py
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:end-bef... | storage/google/cloud/storage/bucket.py | def add_lifecycle_delete_rule(self, **kw):
"""Add a "delete" rule to lifestyle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
.. literalinclude:: snippets.py
:start-after... | def add_lifecycle_delete_rule(self, **kw):
"""Add a "delete" rule to lifestyle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
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train | Bucket.add_lifecycle_set_storage_class_rule | Add a "delete" rule to lifestyle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
.. literalinclude:: snippets.py
:start-after: [START add_lifecycle_set_storage_class_rule]
... | storage/google/cloud/storage/bucket.py | def add_lifecycle_set_storage_class_rule(self, storage_class, **kw):
"""Add a "delete" rule to lifestyle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
.. literalinclude:: snippets... | def add_lifecycle_set_storage_class_rule(self, storage_class, **kw):
"""Add a "delete" rule to lifestyle rules configured for this bucket.
See https://cloud.google.com/storage/docs/lifecycle and
https://cloud.google.com/storage/docs/json_api/v1/buckets
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train | Bucket.location | (Deprecated) Set `Bucket.location`
This can only be set at bucket **creation** time.
See https://cloud.google.com/storage/docs/json_api/v1/buckets and
https://cloud.google.com/storage/docs/bucket-locations
.. warning::
Assignment to 'Bucket.location' is deprecated, as it ... | storage/google/cloud/storage/bucket.py | def location(self, value):
"""(Deprecated) Set `Bucket.location`
This can only be set at bucket **creation** time.
See https://cloud.google.com/storage/docs/json_api/v1/buckets and
https://cloud.google.com/storage/docs/bucket-locations
.. warning::
Assignment to '... | def location(self, value):
"""(Deprecated) Set `Bucket.location`
This can only be set at bucket **creation** time.
See https://cloud.google.com/storage/docs/json_api/v1/buckets and
https://cloud.google.com/storage/docs/bucket-locations
.. warning::
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train | Bucket.enable_logging | Enable access logging for this bucket.
See https://cloud.google.com/storage/docs/access-logs
:type bucket_name: str
:param bucket_name: name of bucket in which to store access logs
:type object_prefix: str
:param object_prefix: prefix for access log filenames | storage/google/cloud/storage/bucket.py | def enable_logging(self, bucket_name, object_prefix=""):
"""Enable access logging for this bucket.
See https://cloud.google.com/storage/docs/access-logs
:type bucket_name: str
:param bucket_name: name of bucket in which to store access logs
:type object_prefix: str
:pa... | def enable_logging(self, bucket_name, object_prefix=""):
"""Enable access logging for this bucket.
See https://cloud.google.com/storage/docs/access-logs
:type bucket_name: str
:param bucket_name: name of bucket in which to store access logs
:type object_prefix: str
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train | Bucket.retention_policy_effective_time | Retrieve the effective time of the bucket's retention policy.
:rtype: datetime.datetime or ``NoneType``
:returns: point-in time at which the bucket's retention policy is
effective, or ``None`` if the property is not
set locally. | storage/google/cloud/storage/bucket.py | def retention_policy_effective_time(self):
"""Retrieve the effective time of the bucket's retention policy.
:rtype: datetime.datetime or ``NoneType``
:returns: point-in time at which the bucket's retention policy is
effective, or ``None`` if the property is not
... | def retention_policy_effective_time(self):
"""Retrieve the effective time of the bucket's retention policy.
:rtype: datetime.datetime or ``NoneType``
:returns: point-in time at which the bucket's retention policy is
effective, or ``None`` if the property is not
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train | Bucket.retention_period | Retrieve or set the retention period for items in the bucket.
:rtype: int or ``NoneType``
:returns: number of seconds to retain items after upload or release
from event-based lock, or ``None`` if the property is not
set locally. | storage/google/cloud/storage/bucket.py | def retention_period(self):
"""Retrieve or set the retention period for items in the bucket.
:rtype: int or ``NoneType``
:returns: number of seconds to retain items after upload or release
from event-based lock, or ``None`` if the property is not
set locally.... | def retention_period(self):
"""Retrieve or set the retention period for items in the bucket.
:rtype: int or ``NoneType``
:returns: number of seconds to retain items after upload or release
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train | Bucket.retention_period | Set the retention period for items in the bucket.
:type value: int
:param value:
number of seconds to retain items after upload or release from
event-based lock.
:raises ValueError: if the bucket's retention policy is locked. | storage/google/cloud/storage/bucket.py | def retention_period(self, value):
"""Set the retention period for items in the bucket.
:type value: int
:param value:
number of seconds to retain items after upload or release from
event-based lock.
:raises ValueError: if the bucket's retention policy is locked... | def retention_period(self, value):
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train | Bucket.storage_class | Set the storage class for the bucket.
See https://cloud.google.com/storage/docs/storage-classes
:type value: str
:param value: one of "MULTI_REGIONAL", "REGIONAL", "NEARLINE",
"COLDLINE", "STANDARD", or "DURABLE_REDUCED_AVAILABILITY" | storage/google/cloud/storage/bucket.py | def storage_class(self, value):
"""Set the storage class for the bucket.
See https://cloud.google.com/storage/docs/storage-classes
:type value: str
:param value: one of "MULTI_REGIONAL", "REGIONAL", "NEARLINE",
"COLDLINE", "STANDARD", or "DURABLE_REDUCED_AVAILABIL... | def storage_class(self, value):
"""Set the storage class for the bucket.
See https://cloud.google.com/storage/docs/storage-classes
:type value: str
:param value: one of "MULTI_REGIONAL", "REGIONAL", "NEARLINE",
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train | Bucket.configure_website | Configure website-related properties.
See https://cloud.google.com/storage/docs/hosting-static-website
.. note::
This (apparently) only works
if your bucket name is a domain name
(and to do that, you need to get approved somehow...).
If you want this bucket to ho... | storage/google/cloud/storage/bucket.py | def configure_website(self, main_page_suffix=None, not_found_page=None):
"""Configure website-related properties.
See https://cloud.google.com/storage/docs/hosting-static-website
.. note::
This (apparently) only works
if your bucket name is a domain name
(and to d... | def configure_website(self, main_page_suffix=None, not_found_page=None):
"""Configure website-related properties.
See https://cloud.google.com/storage/docs/hosting-static-website
.. note::
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train | Bucket.get_iam_policy | Retrieve the IAM policy for the bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets/getIamPolicy
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.storage.client.Client` or
``NoneType``
... | storage/google/cloud/storage/bucket.py | def get_iam_policy(self, client=None):
"""Retrieve the IAM policy for the bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets/getIamPolicy
If :attr:`user_project` is set, bills the API request to that project.
:type client: :class:`~google.cloud.storage.clien... | def get_iam_policy(self, client=None):
"""Retrieve the IAM policy for the bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets/getIamPolicy
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train | Bucket.set_iam_policy | Update the IAM policy for the bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets/setIamPolicy
If :attr:`user_project` is set, bills the API request to that project.
:type policy: :class:`google.api_core.iam.Policy`
:param policy: policy instance used to upda... | storage/google/cloud/storage/bucket.py | def set_iam_policy(self, policy, client=None):
"""Update the IAM policy for the bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets/setIamPolicy
If :attr:`user_project` is set, bills the API request to that project.
:type policy: :class:`google.api_core.iam.P... | def set_iam_policy(self, policy, client=None):
"""Update the IAM policy for the bucket.
See
https://cloud.google.com/storage/docs/json_api/v1/buckets/setIamPolicy
If :attr:`user_project` is set, bills the API request to that project.
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train | Bucket.make_private | Update bucket's ACL, revoking read access for anonymous users.
:type recursive: bool
:param recursive: If True, this will make all blobs inside the bucket
private as well.
:type future: bool
:param future: If True, this will make all objects created in the
... | storage/google/cloud/storage/bucket.py | def make_private(self, recursive=False, future=False, client=None):
"""Update bucket's ACL, revoking read access for anonymous users.
:type recursive: bool
:param recursive: If True, this will make all blobs inside the bucket
private as well.
:type future: boo... | def make_private(self, recursive=False, future=False, client=None):
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:type recursive: bool
:param recursive: If True, this will make all blobs inside the bucket
private as well.
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train | Bucket.generate_upload_policy | Create a signed upload policy for uploading objects.
This method generates and signs a policy document. You can use
`policy documents`_ to allow visitors to a website to upload files to
Google Cloud Storage without giving them direct write access.
For example:
.. literalinclud... | storage/google/cloud/storage/bucket.py | def generate_upload_policy(self, conditions, expiration=None, client=None):
"""Create a signed upload policy for uploading objects.
This method generates and signs a policy document. You can use
`policy documents`_ to allow visitors to a website to upload files to
Google Cloud Storage w... | def generate_upload_policy(self, conditions, expiration=None, client=None):
"""Create a signed upload policy for uploading objects.
This method generates and signs a policy document. You can use
`policy documents`_ to allow visitors to a website to upload files to
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train | Bucket.lock_retention_policy | Lock the bucket's retention policy.
:raises ValueError:
if the bucket has no metageneration (i.e., new or never reloaded);
if the bucket has no retention policy assigned;
if the bucket's retention policy is already locked. | storage/google/cloud/storage/bucket.py | def lock_retention_policy(self, client=None):
"""Lock the bucket's retention policy.
:raises ValueError:
if the bucket has no metageneration (i.e., new or never reloaded);
if the bucket has no retention policy assigned;
if the bucket's retention policy is already loc... | def lock_retention_policy(self, client=None):
"""Lock the bucket's retention policy.
:raises ValueError:
if the bucket has no metageneration (i.e., new or never reloaded);
if the bucket has no retention policy assigned;
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train | Bucket.generate_signed_url | Generates a signed URL for this bucket.
.. note::
If you are on Google Compute Engine, you can't generate a signed
URL using GCE service account. Follow `Issue 50`_ for updates on
this. If you'd like to be able to generate a signed URL from GCE,
you can use a st... | storage/google/cloud/storage/bucket.py | def generate_signed_url(
self,
expiration=None,
api_access_endpoint=_API_ACCESS_ENDPOINT,
method="GET",
headers=None,
query_parameters=None,
client=None,
credentials=None,
version=None,
):
"""Generates a signed URL for this bucket.
... | def generate_signed_url(
self,
expiration=None,
api_access_endpoint=_API_ACCESS_ENDPOINT,
method="GET",
headers=None,
query_parameters=None,
client=None,
credentials=None,
version=None,
):
"""Generates a signed URL for this bucket.
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/storage/google/cloud/storage/bucket.py#L1976-L2080 | [
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train | to_microseconds | Convert a datetime to microseconds since the unix epoch.
Args:
value (datetime.datetime): The datetime to covert.
Returns:
int: Microseconds since the unix epoch. | api_core/google/api_core/datetime_helpers.py | def to_microseconds(value):
"""Convert a datetime to microseconds since the unix epoch.
Args:
value (datetime.datetime): The datetime to covert.
Returns:
int: Microseconds since the unix epoch.
"""
if not value.tzinfo:
value = value.replace(tzinfo=pytz.utc)
# Regardless... | def to_microseconds(value):
"""Convert a datetime to microseconds since the unix epoch.
Args:
value (datetime.datetime): The datetime to covert.
Returns:
int: Microseconds since the unix epoch.
"""
if not value.tzinfo:
value = value.replace(tzinfo=pytz.utc)
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train | from_rfc3339 | Convert a microsecond-precision timestamp to datetime.
Args:
value (str): The RFC3339 string to convert.
Returns:
datetime.datetime: The datetime object equivalent to the timestamp in
UTC. | api_core/google/api_core/datetime_helpers.py | def from_rfc3339(value):
"""Convert a microsecond-precision timestamp to datetime.
Args:
value (str): The RFC3339 string to convert.
Returns:
datetime.datetime: The datetime object equivalent to the timestamp in
UTC.
"""
return datetime.datetime.strptime(value, _RFC3339... | def from_rfc3339(value):
"""Convert a microsecond-precision timestamp to datetime.
Args:
value (str): The RFC3339 string to convert.
Returns:
datetime.datetime: The datetime object equivalent to the timestamp in
UTC.
"""
return datetime.datetime.strptime(value, _RFC3339... | [
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train | from_rfc3339_nanos | Convert a nanosecond-precision timestamp to a native datetime.
.. note::
Python datetimes do not support nanosecond precision; this function
therefore truncates such values to microseconds.
Args:
value (str): The RFC3339 string to convert.
Returns:
datetime.datetime: The d... | api_core/google/api_core/datetime_helpers.py | def from_rfc3339_nanos(value):
"""Convert a nanosecond-precision timestamp to a native datetime.
.. note::
Python datetimes do not support nanosecond precision; this function
therefore truncates such values to microseconds.
Args:
value (str): The RFC3339 string to convert.
Ret... | def from_rfc3339_nanos(value):
"""Convert a nanosecond-precision timestamp to a native datetime.
.. note::
Python datetimes do not support nanosecond precision; this function
therefore truncates such values to microseconds.
Args:
value (str): The RFC3339 string to convert.
Ret... | [
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train | DatetimeWithNanoseconds.rfc3339 | Return an RFC 3339-compliant timestamp.
Returns:
(str): Timestamp string according to RFC 3339 spec. | api_core/google/api_core/datetime_helpers.py | def rfc3339(self):
"""Return an RFC 3339-compliant timestamp.
Returns:
(str): Timestamp string according to RFC 3339 spec.
"""
if self._nanosecond == 0:
return to_rfc3339(self)
nanos = str(self._nanosecond).rjust(9, '0').rstrip("0")
return "{}.{}Z... | def rfc3339(self):
"""Return an RFC 3339-compliant timestamp.
Returns:
(str): Timestamp string according to RFC 3339 spec.
"""
if self._nanosecond == 0:
return to_rfc3339(self)
nanos = str(self._nanosecond).rjust(9, '0').rstrip("0")
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train | DatetimeWithNanoseconds.from_rfc3339 | Parse RFC 3339-compliant timestamp, preserving nanoseconds.
Args:
stamp (str): RFC 3339 stamp, with up to nanosecond precision
Returns:
:class:`DatetimeWithNanoseconds`:
an instance matching the timestamp string
Raises:
ValueError: if `stamp... | api_core/google/api_core/datetime_helpers.py | def from_rfc3339(cls, stamp):
"""Parse RFC 3339-compliant timestamp, preserving nanoseconds.
Args:
stamp (str): RFC 3339 stamp, with up to nanosecond precision
Returns:
:class:`DatetimeWithNanoseconds`:
an instance matching the timestamp string
... | def from_rfc3339(cls, stamp):
"""Parse RFC 3339-compliant timestamp, preserving nanoseconds.
Args:
stamp (str): RFC 3339 stamp, with up to nanosecond precision
Returns:
:class:`DatetimeWithNanoseconds`:
an instance matching the timestamp string
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train | DatetimeWithNanoseconds.timestamp_pb | Return a timestamp message.
Returns:
(:class:`~google.protobuf.timestamp_pb2.Timestamp`): Timestamp message | api_core/google/api_core/datetime_helpers.py | def timestamp_pb(self):
"""Return a timestamp message.
Returns:
(:class:`~google.protobuf.timestamp_pb2.Timestamp`): Timestamp message
"""
inst = self if self.tzinfo is not None else self.replace(tzinfo=pytz.UTC)
delta = inst - _UTC_EPOCH
seconds = int(delta.... | def timestamp_pb(self):
"""Return a timestamp message.
Returns:
(:class:`~google.protobuf.timestamp_pb2.Timestamp`): Timestamp message
"""
inst = self if self.tzinfo is not None else self.replace(tzinfo=pytz.UTC)
delta = inst - _UTC_EPOCH
seconds = int(delta.... | [
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train | DatetimeWithNanoseconds.from_timestamp_pb | Parse RFC 3339-compliant timestamp, preserving nanoseconds.
Args:
stamp (:class:`~google.protobuf.timestamp_pb2.Timestamp`): timestamp message
Returns:
:class:`DatetimeWithNanoseconds`:
an instance matching the timestamp message | api_core/google/api_core/datetime_helpers.py | def from_timestamp_pb(cls, stamp):
"""Parse RFC 3339-compliant timestamp, preserving nanoseconds.
Args:
stamp (:class:`~google.protobuf.timestamp_pb2.Timestamp`): timestamp message
Returns:
:class:`DatetimeWithNanoseconds`:
an instance matching the times... | def from_timestamp_pb(cls, stamp):
"""Parse RFC 3339-compliant timestamp, preserving nanoseconds.
Args:
stamp (:class:`~google.protobuf.timestamp_pb2.Timestamp`): timestamp message
Returns:
:class:`DatetimeWithNanoseconds`:
an instance matching the times... | [
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train | ClusterControllerClient.create_cluster | Creates a cluster in a project.
Example:
>>> from google.cloud import dataproc_v1beta2
>>>
>>> client = dataproc_v1beta2.ClusterControllerClient()
>>>
>>> # TODO: Initialize `project_id`:
>>> project_id = ''
>>>
>>>... | dataproc/google/cloud/dataproc_v1beta2/gapic/cluster_controller_client.py | def create_cluster(
self,
project_id,
region,
cluster,
request_id=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a cluster in a project.
Examp... | def create_cluster(
self,
project_id,
region,
cluster,
request_id=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a cluster in a project.
Examp... | [
"Creates",
"a",
"cluster",
"in",
"a",
"project",
"."
] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/dataproc/google/cloud/dataproc_v1beta2/gapic/cluster_controller_client.py#L180-L278 | [
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"api... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | ClusterControllerClient.delete_cluster | Deletes a cluster in a project.
Example:
>>> from google.cloud import dataproc_v1beta2
>>>
>>> client = dataproc_v1beta2.ClusterControllerClient()
>>>
>>> # TODO: Initialize `project_id`:
>>> project_id = ''
>>>
>>>... | dataproc/google/cloud/dataproc_v1beta2/gapic/cluster_controller_client.py | def delete_cluster(
self,
project_id,
region,
cluster_name,
cluster_uuid=None,
request_id=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Deletes a clus... | def delete_cluster(
self,
project_id,
region,
cluster_name,
cluster_uuid=None,
request_id=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Deletes a clus... | [
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/dataproc/google/cloud/dataproc_v1beta2/gapic/cluster_controller_client.py#L646-L748 | [
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