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train | scalar_to_query_parameter | Convert a scalar value into a query parameter.
:type value: any
:param value: A scalar value to convert into a query parameter.
:type name: str
:param name: (Optional) Name of the query parameter.
:rtype: :class:`~google.cloud.bigquery.ScalarQueryParameter`
:returns:
A query parameter... | bigquery/google/cloud/bigquery/dbapi/_helpers.py | def scalar_to_query_parameter(value, name=None):
"""Convert a scalar value into a query parameter.
:type value: any
:param value: A scalar value to convert into a query parameter.
:type name: str
:param name: (Optional) Name of the query parameter.
:rtype: :class:`~google.cloud.bigquery.Scala... | def scalar_to_query_parameter(value, name=None):
"""Convert a scalar value into a query parameter.
:type value: any
:param value: A scalar value to convert into a query parameter.
:type name: str
:param name: (Optional) Name of the query parameter.
:rtype: :class:`~google.cloud.bigquery.Scala... | [
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train | to_query_parameters_dict | Converts a dictionary of parameter values into query parameters.
:type parameters: Mapping[str, Any]
:param parameters: Dictionary of query parameter values.
:rtype: List[google.cloud.bigquery.query._AbstractQueryParameter]
:returns: A list of named query parameters. | bigquery/google/cloud/bigquery/dbapi/_helpers.py | def to_query_parameters_dict(parameters):
"""Converts a dictionary of parameter values into query parameters.
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:param parameters: Dictionary of query parameter values.
:rtype: List[google.cloud.bigquery.query._AbstractQueryParameter]
:returns: A list of named que... | def to_query_parameters_dict(parameters):
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train | to_query_parameters | Converts DB-API parameter values into query parameters.
:type parameters: Mapping[str, Any] or Sequence[Any]
:param parameters: A dictionary or sequence of query parameter values.
:rtype: List[google.cloud.bigquery.query._AbstractQueryParameter]
:returns: A list of query parameters. | bigquery/google/cloud/bigquery/dbapi/_helpers.py | def to_query_parameters(parameters):
"""Converts DB-API parameter values into query parameters.
:type parameters: Mapping[str, Any] or Sequence[Any]
:param parameters: A dictionary or sequence of query parameter values.
:rtype: List[google.cloud.bigquery.query._AbstractQueryParameter]
:returns: A ... | def to_query_parameters(parameters):
"""Converts DB-API parameter values into query parameters.
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train | _refresh_http | Refresh an operation using a JSON/HTTP client.
Args:
api_request (Callable): A callable used to make an API request. This
should generally be
:meth:`google.cloud._http.Connection.api_request`.
operation_name (str): The name of the operation.
Returns:
google.long... | api_core/google/api_core/operation.py | def _refresh_http(api_request, operation_name):
"""Refresh an operation using a JSON/HTTP client.
Args:
api_request (Callable): A callable used to make an API request. This
should generally be
:meth:`google.cloud._http.Connection.api_request`.
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api_request (Callable): A callable used to make an API request. This
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train | _cancel_http | Cancel an operation using a JSON/HTTP client.
Args:
api_request (Callable): A callable used to make an API request. This
should generally be
:meth:`google.cloud._http.Connection.api_request`.
operation_name (str): The name of the operation. | api_core/google/api_core/operation.py | def _cancel_http(api_request, operation_name):
"""Cancel an operation using a JSON/HTTP client.
Args:
api_request (Callable): A callable used to make an API request. This
should generally be
:meth:`google.cloud._http.Connection.api_request`.
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Args:
api_request (Callable): A callable used to make an API request. This
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:meth:`google.cloud._http.Connection.api_request`.
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train | from_http_json | Create an operation future using a HTTP/JSON client.
This interacts with the long-running operations `service`_ (specific
to a given API) via `HTTP/JSON`_.
.. _HTTP/JSON: https://cloud.google.com/speech/reference/rest/\
v1beta1/operations#Operation
Args:
operation (dict): Operatio... | api_core/google/api_core/operation.py | def from_http_json(operation, api_request, result_type, **kwargs):
"""Create an operation future using a HTTP/JSON client.
This interacts with the long-running operations `service`_ (specific
to a given API) via `HTTP/JSON`_.
.. _HTTP/JSON: https://cloud.google.com/speech/reference/rest/\
... | def from_http_json(operation, api_request, result_type, **kwargs):
"""Create an operation future using a HTTP/JSON client.
This interacts with the long-running operations `service`_ (specific
to a given API) via `HTTP/JSON`_.
.. _HTTP/JSON: https://cloud.google.com/speech/reference/rest/\
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train | _refresh_grpc | Refresh an operation using a gRPC client.
Args:
operations_stub (google.longrunning.operations_pb2.OperationsStub):
The gRPC operations stub.
operation_name (str): The name of the operation.
Returns:
google.longrunning.operations_pb2.Operation: The operation. | api_core/google/api_core/operation.py | def _refresh_grpc(operations_stub, operation_name):
"""Refresh an operation using a gRPC client.
Args:
operations_stub (google.longrunning.operations_pb2.OperationsStub):
The gRPC operations stub.
operation_name (str): The name of the operation.
Returns:
google.longrunn... | def _refresh_grpc(operations_stub, operation_name):
"""Refresh an operation using a gRPC client.
Args:
operations_stub (google.longrunning.operations_pb2.OperationsStub):
The gRPC operations stub.
operation_name (str): The name of the operation.
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train | _cancel_grpc | Cancel an operation using a gRPC client.
Args:
operations_stub (google.longrunning.operations_pb2.OperationsStub):
The gRPC operations stub.
operation_name (str): The name of the operation. | api_core/google/api_core/operation.py | def _cancel_grpc(operations_stub, operation_name):
"""Cancel an operation using a gRPC client.
Args:
operations_stub (google.longrunning.operations_pb2.OperationsStub):
The gRPC operations stub.
operation_name (str): The name of the operation.
"""
request_pb = operations_pb2... | def _cancel_grpc(operations_stub, operation_name):
"""Cancel an operation using a gRPC client.
Args:
operations_stub (google.longrunning.operations_pb2.OperationsStub):
The gRPC operations stub.
operation_name (str): The name of the operation.
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request_pb = operations_pb2... | [
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train | from_grpc | Create an operation future using a gRPC client.
This interacts with the long-running operations `service`_ (specific
to a given API) via gRPC.
.. _service: https://github.com/googleapis/googleapis/blob/\
050400df0fdb16f63b63e9dee53819044bffc857/\
google/longrunning/operat... | api_core/google/api_core/operation.py | def from_grpc(operation, operations_stub, result_type, **kwargs):
"""Create an operation future using a gRPC client.
This interacts with the long-running operations `service`_ (specific
to a given API) via gRPC.
.. _service: https://github.com/googleapis/googleapis/blob/\
050400df0fdb... | def from_grpc(operation, operations_stub, result_type, **kwargs):
"""Create an operation future using a gRPC client.
This interacts with the long-running operations `service`_ (specific
to a given API) via gRPC.
.. _service: https://github.com/googleapis/googleapis/blob/\
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train | from_gapic | Create an operation future from a gapic client.
This interacts with the long-running operations `service`_ (specific
to a given API) via a gapic client.
.. _service: https://github.com/googleapis/googleapis/blob/\
050400df0fdb16f63b63e9dee53819044bffc857/\
google/longrunn... | api_core/google/api_core/operation.py | def from_gapic(operation, operations_client, result_type, **kwargs):
"""Create an operation future from a gapic client.
This interacts with the long-running operations `service`_ (specific
to a given API) via a gapic client.
.. _service: https://github.com/googleapis/googleapis/blob/\
... | def from_gapic(operation, operations_client, result_type, **kwargs):
"""Create an operation future from a gapic client.
This interacts with the long-running operations `service`_ (specific
to a given API) via a gapic client.
.. _service: https://github.com/googleapis/googleapis/blob/\
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train | Operation.metadata | google.protobuf.Message: the current operation metadata. | api_core/google/api_core/operation.py | def metadata(self):
"""google.protobuf.Message: the current operation metadata."""
if not self._operation.HasField("metadata"):
return None
return protobuf_helpers.from_any_pb(
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"""google.protobuf.Message: the current operation metadata."""
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self._metadata_type, self._operation.metadata
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train | Operation._set_result_from_operation | Set the result or exception from the operation if it is complete. | api_core/google/api_core/operation.py | def _set_result_from_operation(self):
"""Set the result or exception from the operation if it is complete."""
# This must be done in a lock to prevent the polling thread
# and main thread from both executing the completion logic
# at the same time.
with self._completion_lock:
... | def _set_result_from_operation(self):
"""Set the result or exception from the operation if it is complete."""
# This must be done in a lock to prevent the polling thread
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train | Operation._refresh_and_update | Refresh the operation and update the result if needed. | api_core/google/api_core/operation.py | def _refresh_and_update(self):
"""Refresh the operation and update the result if needed."""
# If the currently cached operation is done, no need to make another
# RPC as it will not change once done.
if not self._operation.done:
self._operation = self._refresh()
s... | def _refresh_and_update(self):
"""Refresh the operation and update the result if needed."""
# If the currently cached operation is done, no need to make another
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train | Operation.cancelled | True if the operation was cancelled. | api_core/google/api_core/operation.py | def cancelled(self):
"""True if the operation was cancelled."""
self._refresh_and_update()
return (
self._operation.HasField("error")
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) | def cancelled(self):
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self._refresh_and_update()
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train | _ACLEntity.revoke | Remove a role from the entity.
:type role: str
:param role: The role to remove from the entity. | storage/google/cloud/storage/acl.py | def revoke(self, role):
"""Remove a role from the entity.
:type role: str
:param role: The role to remove from the entity.
"""
if role in self.roles:
self.roles.remove(role) | def revoke(self, role):
"""Remove a role from the entity.
:type role: str
:param role: The role to remove from the entity.
"""
if role in self.roles:
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train | ACL.validate_predefined | Ensures predefined is in list of predefined json values
:type predefined: str
:param predefined: name of a predefined acl
:type predefined: str
:param predefined: validated JSON name of predefined acl
:raises: :exc: `ValueError`: If predefined is not a valid acl | storage/google/cloud/storage/acl.py | def validate_predefined(cls, predefined):
"""Ensures predefined is in list of predefined json values
:type predefined: str
:param predefined: name of a predefined acl
:type predefined: str
:param predefined: validated JSON name of predefined acl
:raises: :exc: `ValueEr... | def validate_predefined(cls, predefined):
"""Ensures predefined is in list of predefined json values
:type predefined: str
:param predefined: name of a predefined acl
:type predefined: str
:param predefined: validated JSON name of predefined acl
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train | ACL.entity_from_dict | Build an _ACLEntity object from a dictionary of data.
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:type entity_dict: dict
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belonging to either a user or group or the special types for all
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"""Build an _ACLEntity object from a dictionary of data.
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belonging to either a user or group or the special types for all
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train | ACL.get_entity | Gets an entity object from the ACL.
:type entity: :class:`_ACLEntity` or string
:param entity: The entity to get lookup in the ACL.
:type default: anything
:param default: This value will be returned if the entity
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:rtype: :class:`_ACLEnti... | storage/google/cloud/storage/acl.py | def get_entity(self, entity, default=None):
"""Gets an entity object from the ACL.
:type entity: :class:`_ACLEntity` or string
:param entity: The entity to get lookup in the ACL.
:type default: anything
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... | def get_entity(self, entity, default=None):
"""Gets an entity object from the ACL.
:type entity: :class:`_ACLEntity` or string
:param entity: The entity to get lookup in the ACL.
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train | ACL.add_entity | Add an entity to the ACL.
:type entity: :class:`_ACLEntity`
:param entity: The entity to add to this ACL. | storage/google/cloud/storage/acl.py | def add_entity(self, entity):
"""Add an entity to the ACL.
:type entity: :class:`_ACLEntity`
:param entity: The entity to add to this ACL.
"""
self._ensure_loaded()
self.entities[str(entity)] = entity | def add_entity(self, entity):
"""Add an entity to the ACL.
:type entity: :class:`_ACLEntity`
:param entity: The entity to add to this ACL.
"""
self._ensure_loaded()
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train | ACL.entity | Factory method for creating an Entity.
If an entity with the same type and identifier already exists,
this will return a reference to that entity. If not, it will
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this ACL.
:type entity_type: str
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"""Factory method for creating an Entity.
If an entity with the same type and identifier already exists,
this will return a reference to that entity. If not, it will
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th... | def entity(self, entity_type, identifier=None):
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train | ACL.reload | Reload the ACL data from Cloud Storage.
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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:param client: Optional. The client to use. If not passed, falls back
... | storage/google/cloud/storage/acl.py | def reload(self, client=None):
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:param client: Optional. The client to use. ... | def reload(self, client=None):
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train | ACL._save | Helper for :meth:`save` and :meth:`save_predefined`.
:type acl: :class:`google.cloud.storage.acl.ACL`, or a compatible list.
:param acl: The ACL object to save. If left blank, this will save
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:type acl: :class:`google.cloud.storage.acl.ACL`, or a compatible list.
:param acl: The ACL object to save. If left blank, this will save
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train | ACL.save | Save this ACL for the current bucket.
If :attr:`user_project` is set, bills the API request to that project.
:type acl: :class:`google.cloud.storage.acl.ACL`, or a compatible list.
:param acl: The ACL object to save. If left blank, this will save
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... | storage/google/cloud/storage/acl.py | def save(self, acl=None, client=None):
"""Save this ACL for the current bucket.
If :attr:`user_project` is set, bills the API request to that project.
:type acl: :class:`google.cloud.storage.acl.ACL`, or a compatible list.
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If :attr:`user_project` is set, bills the API request to that project.
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train | ACL.save_predefined | Save this ACL for the current bucket using a predefined ACL.
If :attr:`user_project` is set, bills the API request to that project.
:type predefined: str
:param predefined: An identifier for a predefined ACL. Must be one
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... | storage/google/cloud/storage/acl.py | def save_predefined(self, predefined, client=None):
"""Save this ACL for the current bucket using a predefined ACL.
If :attr:`user_project` is set, bills the API request to that project.
:type predefined: str
:param predefined: An identifier for a predefined ACL. Must be one
... | def save_predefined(self, predefined, client=None):
"""Save this ACL for the current bucket using a predefined ACL.
If :attr:`user_project` is set, bills the API request to that project.
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train | IncidentServiceClient.incident_path | Return a fully-qualified incident string. | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def incident_path(cls, project, incident):
"""Return a fully-qualified incident string."""
return google.api_core.path_template.expand(
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project=project,
incident=incident,
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"""Return a fully-qualified incident string."""
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train | IncidentServiceClient.annotation_path | Return a fully-qualified annotation string. | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def annotation_path(cls, project, incident, annotation):
"""Return a fully-qualified annotation string."""
return google.api_core.path_template.expand(
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incident=incident,
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train | IncidentServiceClient.artifact_path | Return a fully-qualified artifact string. | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def artifact_path(cls, project, incident, artifact):
"""Return a fully-qualified artifact string."""
return google.api_core.path_template.expand(
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project=project,
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train | IncidentServiceClient.role_assignment_path | Return a fully-qualified role_assignment string. | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def role_assignment_path(cls, project, incident, role_assignment):
"""Return a fully-qualified role_assignment string."""
return google.api_core.path_template.expand(
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train | IncidentServiceClient.subscription_path | Return a fully-qualified subscription string. | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def subscription_path(cls, project, incident, subscription):
"""Return a fully-qualified subscription string."""
return google.api_core.path_template.expand(
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project=project,
incident=incident,
... | def subscription_path(cls, project, incident, subscription):
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train | IncidentServiceClient.tag_path | Return a fully-qualified tag string. | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def tag_path(cls, project, incident, tag):
"""Return a fully-qualified tag string."""
return google.api_core.path_template.expand(
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project=project,
incident=incident,
tag=tag,
) | def tag_path(cls, project, incident, tag):
"""Return a fully-qualified tag string."""
return google.api_core.path_template.expand(
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incident=incident,
tag=tag,
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train | IncidentServiceClient.signal_path | Return a fully-qualified signal string. | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def signal_path(cls, project, signal):
"""Return a fully-qualified signal string."""
return google.api_core.path_template.expand(
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) | def signal_path(cls, project, signal):
"""Return a fully-qualified signal string."""
return google.api_core.path_template.expand(
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) | [
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train | IncidentServiceClient.create_annotation | Creates an annotation on an existing incident. Only 'text/plain' and
'text/markdown' annotations can be created via this method.
Example:
>>> from google.cloud import irm_v1alpha2
>>>
>>> client = irm_v1alpha2.IncidentServiceClient()
>>>
>>> p... | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def create_annotation(
self,
parent,
annotation,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates an annotation on an existing incident. Only 'text/plain' and
'text/ma... | def create_annotation(
self,
parent,
annotation,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates an annotation on an existing incident. Only 'text/plain' and
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... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | IncidentServiceClient.escalate_incident | Escalates an incident.
Example:
>>> from google.cloud import irm_v1alpha2
>>>
>>> client = irm_v1alpha2.IncidentServiceClient()
>>>
>>> # TODO: Initialize `incident`:
>>> incident = {}
>>>
>>> response = client.esca... | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def escalate_incident(
self,
incident,
update_mask=None,
subscriptions=None,
tags=None,
roles=None,
artifacts=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
... | def escalate_incident(
self,
incident,
update_mask=None,
subscriptions=None,
tags=None,
roles=None,
artifacts=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
... | [
"Escalates",
"an",
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"."
] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py#L1527-L1632 | [
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"api_core"... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | IncidentServiceClient.send_shift_handoff | Sends a summary of the shift for oncall handoff.
Example:
>>> from google.cloud import irm_v1alpha2
>>>
>>> client = irm_v1alpha2.IncidentServiceClient()
>>>
>>> parent = client.project_path('[PROJECT]')
>>>
>>> # TODO: Initial... | irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py | def send_shift_handoff(
self,
parent,
recipients,
subject,
cc=None,
notes_content_type=None,
notes_content=None,
incidents=None,
preview_only=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.meth... | def send_shift_handoff(
self,
parent,
recipients,
subject,
cc=None,
notes_content_type=None,
notes_content=None,
incidents=None,
preview_only=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.meth... | [
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"handoff",
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/irm/google/cloud/irm_v1alpha2/gapic/incident_service_client.py#L1964-L2066 | [
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... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | Policy.bigtable_admins | Access to bigtable.admin role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_admins_policy]
:end-before: [END bigtable_admins_policy] | bigtable/google/cloud/bigtable/policy.py | def bigtable_admins(self):
"""Access to bigtable.admin role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_admins_policy]
:end-before: [END bigtable_admins_policy]
"""
result = set()
for member in self._bindin... | def bigtable_admins(self):
"""Access to bigtable.admin role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_admins_policy]
:end-before: [END bigtable_admins_policy]
"""
result = set()
for member in self._bindin... | [
"Access",
"to",
"bigtable",
".",
"admin",
"role",
"memebers"
] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/bigtable/google/cloud/bigtable/policy.py#L83-L95 | [
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train | Policy.bigtable_readers | Access to bigtable.reader role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_readers_policy]
:end-before: [END bigtable_readers_policy] | bigtable/google/cloud/bigtable/policy.py | def bigtable_readers(self):
"""Access to bigtable.reader role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_readers_policy]
:end-before: [END bigtable_readers_policy]
"""
result = set()
for member in self._bi... | def bigtable_readers(self):
"""Access to bigtable.reader role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_readers_policy]
:end-before: [END bigtable_readers_policy]
"""
result = set()
for member in self._bi... | [
"Access",
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train | Policy.bigtable_users | Access to bigtable.user role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_users_policy]
:end-before: [END bigtable_users_policy] | bigtable/google/cloud/bigtable/policy.py | def bigtable_users(self):
"""Access to bigtable.user role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_users_policy]
:end-before: [END bigtable_users_policy]
"""
result = set()
for member in self._bindings.g... | def bigtable_users(self):
"""Access to bigtable.user role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_users_policy]
:end-before: [END bigtable_users_policy]
"""
result = set()
for member in self._bindings.g... | [
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train | Policy.bigtable_viewers | Access to bigtable.viewer role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_viewers_policy]
:end-before: [END bigtable_viewers_policy] | bigtable/google/cloud/bigtable/policy.py | def bigtable_viewers(self):
"""Access to bigtable.viewer role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_viewers_policy]
:end-before: [END bigtable_viewers_policy]
"""
result = set()
for member in self._bi... | def bigtable_viewers(self):
"""Access to bigtable.viewer role memebers
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_viewers_policy]
:end-before: [END bigtable_viewers_policy]
"""
result = set()
for member in self._bi... | [
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train | Policy.from_pb | Factory: create a policy from a protobuf message.
Args:
policy_pb (google.iam.policy_pb2.Policy): message returned by
``get_iam_policy`` gRPC API.
Returns:
:class:`Policy`: the parsed policy | bigtable/google/cloud/bigtable/policy.py | def from_pb(cls, policy_pb):
"""Factory: create a policy from a protobuf message.
Args:
policy_pb (google.iam.policy_pb2.Policy): message returned by
``get_iam_policy`` gRPC API.
Returns:
:class:`Policy`: the parsed policy
"""
policy = cls(po... | def from_pb(cls, policy_pb):
"""Factory: create a policy from a protobuf message.
Args:
policy_pb (google.iam.policy_pb2.Policy): message returned by
``get_iam_policy`` gRPC API.
Returns:
:class:`Policy`: the parsed policy
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train | Policy.to_pb | Render a protobuf message.
Returns:
google.iam.policy_pb2.Policy: a message to be passed to the
``set_iam_policy`` gRPC API. | bigtable/google/cloud/bigtable/policy.py | def to_pb(self):
"""Render a protobuf message.
Returns:
google.iam.policy_pb2.Policy: a message to be passed to the
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"""
return policy_pb2.Policy(
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version=self.version or 0,
bindings... | def to_pb(self):
"""Render a protobuf message.
Returns:
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"""
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train | Policy.from_api_repr | Factory: create a policy from a JSON resource.
Overrides the base class version to store :attr:`etag` as bytes.
Args:
resource (dict): JSON policy resource returned by the
``getIamPolicy`` REST API.
Returns:
:class:`Policy`: the parsed policy | bigtable/google/cloud/bigtable/policy.py | def from_api_repr(cls, resource):
"""Factory: create a policy from a JSON resource.
Overrides the base class version to store :attr:`etag` as bytes.
Args:
resource (dict): JSON policy resource returned by the
``getIamPolicy`` REST API.
Returns:
:cla... | def from_api_repr(cls, resource):
"""Factory: create a policy from a JSON resource.
Overrides the base class version to store :attr:`etag` as bytes.
Args:
resource (dict): JSON policy resource returned by the
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train | Policy.to_api_repr | Render a JSON policy resource.
Overrides the base class version to convert :attr:`etag` from bytes
to JSON-compatible base64-encoded text.
Returns:
dict: a JSON resource to be passed to the
``setIamPolicy`` REST API. | bigtable/google/cloud/bigtable/policy.py | def to_api_repr(self):
"""Render a JSON policy resource.
Overrides the base class version to convert :attr:`etag` from bytes
to JSON-compatible base64-encoded text.
Returns:
dict: a JSON resource to be passed to the
``setIamPolicy`` REST API.
"""
... | def to_api_repr(self):
"""Render a JSON policy resource.
Overrides the base class version to convert :attr:`etag` from bytes
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Returns:
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train | _check_ddl_statements | Validate DDL Statements used to define database schema.
See
https://cloud.google.com/spanner/docs/data-definition-language
:type value: list of string
:param value: DDL statements, excluding the 'CREATE DATABSE' statement
:rtype: tuple
:returns: tuple of validated DDL statement strings.
:... | spanner/google/cloud/spanner_v1/database.py | def _check_ddl_statements(value):
"""Validate DDL Statements used to define database schema.
See
https://cloud.google.com/spanner/docs/data-definition-language
:type value: list of string
:param value: DDL statements, excluding the 'CREATE DATABSE' statement
:rtype: tuple
:returns: tuple ... | def _check_ddl_statements(value):
"""Validate DDL Statements used to define database schema.
See
https://cloud.google.com/spanner/docs/data-definition-language
:type value: list of string
:param value: DDL statements, excluding the 'CREATE DATABSE' statement
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train | Database.from_pb | Creates an instance of this class from a protobuf.
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:param database_pb: A instance protobuf object.
:type instance: :class:`~google.cloud.spanner_v1.instance.Instance`
:param instance: The inst... | spanner/google/cloud/spanner_v1/database.py | def from_pb(cls, database_pb, instance, pool=None):
"""Creates an instance of this class from a protobuf.
:type database_pb:
:class:`google.spanner.v2.spanner_instance_admin_pb2.Instance`
:param database_pb: A instance protobuf object.
:type instance: :class:`~google.cloud.... | def from_pb(cls, database_pb, instance, pool=None):
"""Creates an instance of this class from a protobuf.
:type database_pb:
:class:`google.spanner.v2.spanner_instance_admin_pb2.Instance`
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train | Database.spanner_api | Helper for session-related API calls. | spanner/google/cloud/spanner_v1/database.py | def spanner_api(self):
"""Helper for session-related API calls."""
if self._spanner_api is None:
credentials = self._instance._client.credentials
if isinstance(credentials, google.auth.credentials.Scoped):
credentials = credentials.with_scopes((SPANNER_DATA_SCOPE,... | def spanner_api(self):
"""Helper for session-related API calls."""
if self._spanner_api is None:
credentials = self._instance._client.credentials
if isinstance(credentials, google.auth.credentials.Scoped):
credentials = credentials.with_scopes((SPANNER_DATA_SCOPE,... | [
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train | Database.create | Create this database within its instance
Inclues any configured schema assigned to :attr:`ddl_statements`.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.CreateDatabase
:rtype: :class:`~google.api_core... | spanner/google/cloud/spanner_v1/database.py | def create(self):
"""Create this database within its instance
Inclues any configured schema assigned to :attr:`ddl_statements`.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.CreateDatabase
:rt... | def create(self):
"""Create this database within its instance
Inclues any configured schema assigned to :attr:`ddl_statements`.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.CreateDatabase
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train | Database.exists | Test whether this database exists.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.GetDatabaseDDL
:rtype: bool
:returns: True if the database exists, else false. | spanner/google/cloud/spanner_v1/database.py | def exists(self):
"""Test whether this database exists.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.GetDatabaseDDL
:rtype: bool
:returns: True if the database exists, else false.
"""
... | def exists(self):
"""Test whether this database exists.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.GetDatabaseDDL
:rtype: bool
:returns: True if the database exists, else false.
"""
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train | Database.reload | Reload this database.
Refresh any configured schema into :attr:`ddl_statements`.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.GetDatabaseDDL
:raises NotFound: if the database does not exist | spanner/google/cloud/spanner_v1/database.py | def reload(self):
"""Reload this database.
Refresh any configured schema into :attr:`ddl_statements`.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.GetDatabaseDDL
:raises NotFound: if the data... | def reload(self):
"""Reload this database.
Refresh any configured schema into :attr:`ddl_statements`.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.GetDatabaseDDL
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train | Database.update_ddl | Update DDL for this database.
Apply any configured schema from :attr:`ddl_statements`.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.UpdateDatabase
:type ddl_statements: Sequence[str]
:param d... | spanner/google/cloud/spanner_v1/database.py | def update_ddl(self, ddl_statements, operation_id=""):
"""Update DDL for this database.
Apply any configured schema from :attr:`ddl_statements`.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.UpdateData... | def update_ddl(self, ddl_statements, operation_id=""):
"""Update DDL for this database.
Apply any configured schema from :attr:`ddl_statements`.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.UpdateData... | [
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train | Database.drop | Drop this database.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.DropDatabase | spanner/google/cloud/spanner_v1/database.py | def drop(self):
"""Drop this database.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.DropDatabase
"""
api = self._instance._client.database_admin_api
metadata = _metadata_with_prefix(sel... | def drop(self):
"""Drop this database.
See
https://cloud.google.com/spanner/reference/rpc/google.spanner.admin.database.v1#google.spanner.admin.database.v1.DatabaseAdmin.DropDatabase
"""
api = self._instance._client.database_admin_api
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train | Database.execute_partitioned_dml | Execute a partitionable DML statement.
:type dml: str
:param dml: DML statement
:type params: dict, {str -> column value}
:param params: values for parameter replacement. Keys must match
the names used in ``dml``.
:type param_types: dict[str -> Union[di... | spanner/google/cloud/spanner_v1/database.py | def execute_partitioned_dml(self, dml, params=None, param_types=None):
"""Execute a partitionable DML statement.
:type dml: str
:param dml: DML statement
:type params: dict, {str -> column value}
:param params: values for parameter replacement. Keys must match
... | def execute_partitioned_dml(self, dml, params=None, param_types=None):
"""Execute a partitionable DML statement.
:type dml: str
:param dml: DML statement
:type params: dict, {str -> column value}
:param params: values for parameter replacement. Keys must match
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train | Database.batch_snapshot | Return an object which wraps a batch read / query.
:type read_timestamp: :class:`datetime.datetime`
:param read_timestamp: Execute all reads at the given timestamp.
:type exact_staleness: :class:`datetime.timedelta`
:param exact_staleness: Execute all reads at a timestamp that is
... | spanner/google/cloud/spanner_v1/database.py | def batch_snapshot(self, read_timestamp=None, exact_staleness=None):
"""Return an object which wraps a batch read / query.
:type read_timestamp: :class:`datetime.datetime`
:param read_timestamp: Execute all reads at the given timestamp.
:type exact_staleness: :class:`datetime.timedelta... | def batch_snapshot(self, read_timestamp=None, exact_staleness=None):
"""Return an object which wraps a batch read / query.
:type read_timestamp: :class:`datetime.datetime`
:param read_timestamp: Execute all reads at the given timestamp.
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train | Database.run_in_transaction | Perform a unit of work in a transaction, retrying on abort.
:type func: callable
:param func: takes a required positional argument, the transaction,
and additional positional / keyword arguments as supplied
by the caller.
:type args: tuple
:par... | spanner/google/cloud/spanner_v1/database.py | def run_in_transaction(self, func, *args, **kw):
"""Perform a unit of work in a transaction, retrying on abort.
:type func: callable
:param func: takes a required positional argument, the transaction,
and additional positional / keyword arguments as supplied
... | def run_in_transaction(self, func, *args, **kw):
"""Perform a unit of work in a transaction, retrying on abort.
:type func: callable
:param func: takes a required positional argument, the transaction,
and additional positional / keyword arguments as supplied
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train | BatchSnapshot.from_dict | Reconstruct an instance from a mapping.
:type database: :class:`~google.cloud.spanner.database.Database`
:param database: database to use
:type mapping: mapping
:param mapping: serialized state of the instance
:rtype: :class:`BatchSnapshot` | spanner/google/cloud/spanner_v1/database.py | def from_dict(cls, database, mapping):
"""Reconstruct an instance from a mapping.
:type database: :class:`~google.cloud.spanner.database.Database`
:param database: database to use
:type mapping: mapping
:param mapping: serialized state of the instance
:rtype: :class:`B... | def from_dict(cls, database, mapping):
"""Reconstruct an instance from a mapping.
:type database: :class:`~google.cloud.spanner.database.Database`
:param database: database to use
:type mapping: mapping
:param mapping: serialized state of the instance
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train | BatchSnapshot.to_dict | Return state as a dictionary.
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it later using :meth:`from_dict`.
:rtype: dict | spanner/google/cloud/spanner_v1/database.py | def to_dict(self):
"""Return state as a dictionary.
Result can be used to serialize the instance and reconstitute
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:rtype: dict
"""
session = self._get_session()
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train | BatchSnapshot._get_session | Create session as needed.
.. note::
Caller is responsible for cleaning up the session after
all partitions have been processed. | spanner/google/cloud/spanner_v1/database.py | def _get_session(self):
"""Create session as needed.
.. note::
Caller is responsible for cleaning up the session after
all partitions have been processed.
"""
if self._session is None:
session = self._session = self._database.session()
sess... | def _get_session(self):
"""Create session as needed.
.. note::
Caller is responsible for cleaning up the session after
all partitions have been processed.
"""
if self._session is None:
session = self._session = self._database.session()
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train | BatchSnapshot._get_snapshot | Create snapshot if needed. | spanner/google/cloud/spanner_v1/database.py | def _get_snapshot(self):
"""Create snapshot if needed."""
if self._snapshot is None:
self._snapshot = self._get_session().snapshot(
read_timestamp=self._read_timestamp,
exact_staleness=self._exact_staleness,
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train | BatchSnapshot.generate_read_batches | Start a partitioned batch read operation.
Uses the ``PartitionRead`` API request to initiate the partitioned
read. Returns a list of batch information needed to perform the
actual reads.
:type table: str
:param table: name of the table from which to fetch data
:type c... | spanner/google/cloud/spanner_v1/database.py | def generate_read_batches(
self,
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keyset,
index="",
partition_size_bytes=None,
max_partitions=None,
):
"""Start a partitioned batch read operation.
Uses the ``PartitionRead`` API request to initiate the partitioned
read.... | def generate_read_batches(
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columns,
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partition_size_bytes=None,
max_partitions=None,
):
"""Start a partitioned batch read operation.
Uses the ``PartitionRead`` API request to initiate the partitioned
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train | BatchSnapshot.process_read_batch | Process a single, partitioned read.
:type batch: mapping
:param batch:
one of the mappings returned from an earlier call to
:meth:`generate_read_batches`.
:rtype: :class:`~google.cloud.spanner_v1.streamed.StreamedResultSet`
:returns: a result set instance which ... | spanner/google/cloud/spanner_v1/database.py | def process_read_batch(self, batch):
"""Process a single, partitioned read.
:type batch: mapping
:param batch:
one of the mappings returned from an earlier call to
:meth:`generate_read_batches`.
:rtype: :class:`~google.cloud.spanner_v1.streamed.StreamedResultSet... | def process_read_batch(self, batch):
"""Process a single, partitioned read.
:type batch: mapping
:param batch:
one of the mappings returned from an earlier call to
:meth:`generate_read_batches`.
:rtype: :class:`~google.cloud.spanner_v1.streamed.StreamedResultSet... | [
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train | BatchSnapshot.generate_query_batches | Start a partitioned query operation.
Uses the ``PartitionQuery`` API request to start a partitioned
query operation. Returns a list of batch information needed to
peform the actual queries.
:type sql: str
:param sql: SQL query statement
:type params: dict, {str -> col... | spanner/google/cloud/spanner_v1/database.py | def generate_query_batches(
self,
sql,
params=None,
param_types=None,
partition_size_bytes=None,
max_partitions=None,
):
"""Start a partitioned query operation.
Uses the ``PartitionQuery`` API request to start a partitioned
query operation. R... | def generate_query_batches(
self,
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params=None,
param_types=None,
partition_size_bytes=None,
max_partitions=None,
):
"""Start a partitioned query operation.
Uses the ``PartitionQuery`` API request to start a partitioned
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:rtype: :class:`~google.cloud.spanner_v1.streamed.StreamedResultSet`
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train | AutoMlClient.location_path | Return a fully-qualified location string. | automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py | def location_path(cls, project, location):
"""Return a fully-qualified location string."""
return google.api_core.path_template.expand(
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location=location,
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train | AutoMlClient.model_path | Return a fully-qualified model string. | automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py | def model_path(cls, project, location, model):
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train | AutoMlClient.model_evaluation_path | Return a fully-qualified model_evaluation string. | automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py | def model_evaluation_path(cls, project, location, model, model_evaluation):
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train | AutoMlClient.annotation_spec_path | Return a fully-qualified annotation_spec string. | automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py | def annotation_spec_path(cls, project, location, dataset, annotation_spec):
"""Return a fully-qualified annotation_spec string."""
return google.api_core.path_template.expand(
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project=... | def annotation_spec_path(cls, project, location, dataset, annotation_spec):
"""Return a fully-qualified annotation_spec string."""
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train | AutoMlClient.table_spec_path | Return a fully-qualified table_spec string. | automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py | def table_spec_path(cls, project, location, dataset, table_spec):
"""Return a fully-qualified table_spec string."""
return google.api_core.path_template.expand(
"projects/{project}/locations/{location}/datasets/{dataset}/tableSpecs/{table_spec}",
project=project,
loca... | def table_spec_path(cls, project, location, dataset, table_spec):
"""Return a fully-qualified table_spec string."""
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train | AutoMlClient.column_spec_path | Return a fully-qualified column_spec string. | automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py | def column_spec_path(cls, project, location, dataset, table_spec, column_spec):
"""Return a fully-qualified column_spec string."""
return google.api_core.path_template.expand(
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"""Return a fully-qualified column_spec string."""
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train | AutoMlClient.create_dataset | Creates a dataset.
Example:
>>> from google.cloud import automl_v1beta1
>>>
>>> client = automl_v1beta1.AutoMlClient()
>>>
>>> parent = client.location_path('[PROJECT]', '[LOCATION]')
>>>
>>> # TODO: Initialize `dataset`:
... | automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py | def create_dataset(
self,
parent,
dataset,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a dataset.
Example:
>>> from google.cloud import automl_v1beta... | def create_dataset(
self,
parent,
dataset,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a dataset.
Example:
>>> from google.cloud import automl_v1beta... | [
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train | AutoMlClient.delete_dataset | Deletes a dataset and all of its contents. Returns empty response in the
``response`` field when it completes, and ``delete_details`` in the
``metadata`` field.
Example:
>>> from google.cloud import automl_v1beta1
>>>
>>> client = automl_v1beta1.AutoMlClient(... | automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py | def delete_dataset(
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retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Deletes a dataset and all of its contents. Returns empty response in the
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retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
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train | AutoMlClient.create_model | Creates a model. Returns a Model in the ``response`` field when it
completes. When you create a model, several model evaluations are
created for it: a global evaluation, and one evaluation for each
annotation spec.
Example:
>>> from google.cloud import automl_v1beta1
... | automl/google/cloud/automl_v1beta1/gapic/auto_ml_client.py | def create_model(
self,
parent,
model,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Creates a model. Returns a Model in the ``response`` field when it
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timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
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train | exponential_sleep_generator | Generates sleep intervals based on the exponential back-off algorithm.
This implements the `Truncated Exponential Back-off`_ algorithm.
.. _Truncated Exponential Back-off:
https://cloud.google.com/storage/docs/exponential-backoff
Args:
initial (float): The minimum about of time to delay. ... | api_core/google/api_core/retry.py | def exponential_sleep_generator(initial, maximum, multiplier=_DEFAULT_DELAY_MULTIPLIER):
"""Generates sleep intervals based on the exponential back-off algorithm.
This implements the `Truncated Exponential Back-off`_ algorithm.
.. _Truncated Exponential Back-off:
https://cloud.google.com/storage/d... | def exponential_sleep_generator(initial, maximum, multiplier=_DEFAULT_DELAY_MULTIPLIER):
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train | retry_target | Call a function and retry if it fails.
This is the lowest-level retry helper. Generally, you'll use the
higher-level retry helper :class:`Retry`.
Args:
target(Callable): The function to call and retry. This must be a
nullary function - apply arguments with `functools.partial`.
... | api_core/google/api_core/retry.py | def retry_target(target, predicate, sleep_generator, deadline, on_error=None):
"""Call a function and retry if it fails.
This is the lowest-level retry helper. Generally, you'll use the
higher-level retry helper :class:`Retry`.
Args:
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train | BidiRpc.open | Opens the stream. | api_core/google/api_core/bidi.py | def open(self):
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train | BidiRpc.close | Closes the stream. | api_core/google/api_core/bidi.py | def close(self):
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train | BidiRpc.send | Queue a message to be sent on the stream.
Send is non-blocking.
If the underlying RPC has been closed, this will raise.
Args:
request (protobuf.Message): The request to send. | api_core/google/api_core/bidi.py | def send(self, request):
"""Queue a message to be sent on the stream.
Send is non-blocking.
If the underlying RPC has been closed, this will raise.
Args:
request (protobuf.Message): The request to send.
"""
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"""Queue a message to be sent on the stream.
Send is non-blocking.
If the underlying RPC has been closed, this will raise.
Args:
request (protobuf.Message): The request to send.
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train | ResumableBidiRpc._recoverable | Wraps a method to recover the stream and retry on error.
If a retryable error occurs while making the call, then the stream will
be re-opened and the method will be retried. This happens indefinitely
so long as the error is a retryable one. If an error occurs while
re-opening the stream... | api_core/google/api_core/bidi.py | def _recoverable(self, method, *args, **kwargs):
"""Wraps a method to recover the stream and retry on error.
If a retryable error occurs while making the call, then the stream will
be re-opened and the method will be retried. This happens indefinitely
so long as the error is a retryable... | def _recoverable(self, method, *args, **kwargs):
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If a retryable error occurs while making the call, then the stream will
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train | BackgroundConsumer.start | Start the background thread and begin consuming the thread. | api_core/google/api_core/bidi.py | def start(self):
"""Start the background thread and begin consuming the thread."""
with self._operational_lock:
ready = threading.Event()
thread = threading.Thread(
name=_BIDIRECTIONAL_CONSUMER_NAME,
target=self._thread_main,
args=(... | def start(self):
"""Start the background thread and begin consuming the thread."""
with self._operational_lock:
ready = threading.Event()
thread = threading.Thread(
name=_BIDIRECTIONAL_CONSUMER_NAME,
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args=(... | [
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train | BackgroundConsumer.stop | Stop consuming the stream and shutdown the background thread. | api_core/google/api_core/bidi.py | def stop(self):
"""Stop consuming the stream and shutdown the background thread."""
with self._operational_lock:
self._bidi_rpc.close()
if self._thread is not None:
# Resume the thread to wake it up in case it is sleeping.
self.resume()
... | def stop(self):
"""Stop consuming the stream and shutdown the background thread."""
with self._operational_lock:
self._bidi_rpc.close()
if self._thread is not None:
# Resume the thread to wake it up in case it is sleeping.
self.resume()
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train | BackgroundConsumer.resume | Resumes the response stream. | api_core/google/api_core/bidi.py | def resume(self):
"""Resumes the response stream."""
with self._wake:
self._paused = False
self._wake.notifyAll() | def resume(self):
"""Resumes the response stream."""
with self._wake:
self._paused = False
self._wake.notifyAll() | [
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train | OsLoginServiceClient.project_path | Return a fully-qualified project string. | oslogin/google/cloud/oslogin_v1/gapic/os_login_service_client.py | def project_path(cls, user, project):
"""Return a fully-qualified project string."""
return google.api_core.path_template.expand(
"users/{user}/projects/{project}", user=user, project=project
) | def project_path(cls, user, project):
"""Return a fully-qualified project string."""
return google.api_core.path_template.expand(
"users/{user}/projects/{project}", user=user, project=project
) | [
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train | OsLoginServiceClient.fingerprint_path | Return a fully-qualified fingerprint string. | oslogin/google/cloud/oslogin_v1/gapic/os_login_service_client.py | def fingerprint_path(cls, user, fingerprint):
"""Return a fully-qualified fingerprint string."""
return google.api_core.path_template.expand(
"users/{user}/sshPublicKeys/{fingerprint}",
user=user,
fingerprint=fingerprint,
) | def fingerprint_path(cls, user, fingerprint):
"""Return a fully-qualified fingerprint string."""
return google.api_core.path_template.expand(
"users/{user}/sshPublicKeys/{fingerprint}",
user=user,
fingerprint=fingerprint,
) | [
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train | OsLoginServiceClient.delete_posix_account | Deletes a POSIX account.
Example:
>>> from google.cloud import oslogin_v1
>>>
>>> client = oslogin_v1.OsLoginServiceClient()
>>>
>>> name = client.project_path('[USER]', '[PROJECT]')
>>>
>>> client.delete_posix_account(name)
... | oslogin/google/cloud/oslogin_v1/gapic/os_login_service_client.py | def delete_posix_account(
self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Deletes a POSIX account.
Example:
>>> from google.cloud import oslogin_v1
... | def delete_posix_account(
self,
name,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Deletes a POSIX account.
Example:
>>> from google.cloud import oslogin_v1
... | [
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/oslogin/google/cloud/oslogin_v1/gapic/os_login_service_client.py#L195-L248 | [
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train | OsLoginServiceClient.import_ssh_public_key | Adds an SSH public key and returns the profile information. Default POSIX
account information is set when no username and UID exist as part of the
login profile.
Example:
>>> from google.cloud import oslogin_v1
>>>
>>> client = oslogin_v1.OsLoginServiceClient... | oslogin/google/cloud/oslogin_v1/gapic/os_login_service_client.py | def import_ssh_public_key(
self,
parent,
ssh_public_key,
project_id=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Adds an SSH public key and returns the profile infor... | def import_ssh_public_key(
self,
parent,
ssh_public_key,
project_id=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
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train | OsLoginServiceClient.update_ssh_public_key | Updates an SSH public key and returns the profile information. This method
supports patch semantics.
Example:
>>> from google.cloud import oslogin_v1
>>>
>>> client = oslogin_v1.OsLoginServiceClient()
>>>
>>> name = client.fingerprint_path('[U... | oslogin/google/cloud/oslogin_v1/gapic/os_login_service_client.py | def update_ssh_public_key(
self,
name,
ssh_public_key,
update_mask=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Updates an SSH public key and returns the profile inf... | def update_ssh_public_key(
self,
name,
ssh_public_key,
update_mask=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
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train | _gc_rule_from_pb | Convert a protobuf GC rule to a native object.
:type gc_rule_pb: :class:`.table_v2_pb2.GcRule`
:param gc_rule_pb: The GC rule to convert.
:rtype: :class:`GarbageCollectionRule` or :data:`NoneType <types.NoneType>`
:returns: An instance of one of the native rules defined
in :module:`colum... | bigtable/google/cloud/bigtable/column_family.py | def _gc_rule_from_pb(gc_rule_pb):
"""Convert a protobuf GC rule to a native object.
:type gc_rule_pb: :class:`.table_v2_pb2.GcRule`
:param gc_rule_pb: The GC rule to convert.
:rtype: :class:`GarbageCollectionRule` or :data:`NoneType <types.NoneType>`
:returns: An instance of one of the native rule... | def _gc_rule_from_pb(gc_rule_pb):
"""Convert a protobuf GC rule to a native object.
:type gc_rule_pb: :class:`.table_v2_pb2.GcRule`
:param gc_rule_pb: The GC rule to convert.
:rtype: :class:`GarbageCollectionRule` or :data:`NoneType <types.NoneType>`
:returns: An instance of one of the native rule... | [
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] | googleapis/google-cloud-python | python | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/bigtable/google/cloud/bigtable/column_family.py#L323-L351 | [
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train | MaxAgeGCRule.to_pb | Converts the garbage collection rule to a protobuf.
:rtype: :class:`.table_v2_pb2.GcRule`
:returns: The converted current object. | bigtable/google/cloud/bigtable/column_family.py | def to_pb(self):
"""Converts the garbage collection rule to a protobuf.
:rtype: :class:`.table_v2_pb2.GcRule`
:returns: The converted current object.
"""
max_age = _helpers._timedelta_to_duration_pb(self.max_age)
return table_v2_pb2.GcRule(max_age=max_age) | def to_pb(self):
"""Converts the garbage collection rule to a protobuf.
:rtype: :class:`.table_v2_pb2.GcRule`
:returns: The converted current object.
"""
max_age = _helpers._timedelta_to_duration_pb(self.max_age)
return table_v2_pb2.GcRule(max_age=max_age) | [
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train | GCRuleUnion.to_pb | Converts the union into a single GC rule as a protobuf.
:rtype: :class:`.table_v2_pb2.GcRule`
:returns: The converted current object. | bigtable/google/cloud/bigtable/column_family.py | def to_pb(self):
"""Converts the union into a single GC rule as a protobuf.
:rtype: :class:`.table_v2_pb2.GcRule`
:returns: The converted current object.
"""
union = table_v2_pb2.GcRule.Union(rules=[rule.to_pb() for rule in self.rules])
return table_v2_pb2.GcRule(union=u... | def to_pb(self):
"""Converts the union into a single GC rule as a protobuf.
:rtype: :class:`.table_v2_pb2.GcRule`
:returns: The converted current object.
"""
union = table_v2_pb2.GcRule.Union(rules=[rule.to_pb() for rule in self.rules])
return table_v2_pb2.GcRule(union=u... | [
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train | GCRuleIntersection.to_pb | Converts the intersection into a single GC rule as a protobuf.
:rtype: :class:`.table_v2_pb2.GcRule`
:returns: The converted current object. | bigtable/google/cloud/bigtable/column_family.py | def to_pb(self):
"""Converts the intersection into a single GC rule as a protobuf.
:rtype: :class:`.table_v2_pb2.GcRule`
:returns: The converted current object.
"""
intersection = table_v2_pb2.GcRule.Intersection(
rules=[rule.to_pb() for rule in self.rules]
)... | def to_pb(self):
"""Converts the intersection into a single GC rule as a protobuf.
:rtype: :class:`.table_v2_pb2.GcRule`
:returns: The converted current object.
"""
intersection = table_v2_pb2.GcRule.Intersection(
rules=[rule.to_pb() for rule in self.rules]
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train | ColumnFamily.to_pb | Converts the column family to a protobuf.
:rtype: :class:`.table_v2_pb2.ColumnFamily`
:returns: The converted current object. | bigtable/google/cloud/bigtable/column_family.py | def to_pb(self):
"""Converts the column family to a protobuf.
:rtype: :class:`.table_v2_pb2.ColumnFamily`
:returns: The converted current object.
"""
if self.gc_rule is None:
return table_v2_pb2.ColumnFamily()
else:
return table_v2_pb2.ColumnFamil... | def to_pb(self):
"""Converts the column family to a protobuf.
:rtype: :class:`.table_v2_pb2.ColumnFamily`
:returns: The converted current object.
"""
if self.gc_rule is None:
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train | ColumnFamily.create | Create this column family.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_create_column_family]
:end-before: [END bigtable_create_column_family] | bigtable/google/cloud/bigtable/column_family.py | def create(self):
"""Create this column family.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_create_column_family]
:end-before: [END bigtable_create_column_family]
"""
column_family = self.to_pb()
modification... | def create(self):
"""Create this column family.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_create_column_family]
:end-before: [END bigtable_create_column_family]
"""
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train | ColumnFamily.delete | Delete this column family.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_delete_column_family]
:end-before: [END bigtable_delete_column_family] | bigtable/google/cloud/bigtable/column_family.py | def delete(self):
"""Delete this column family.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_delete_column_family]
:end-before: [END bigtable_delete_column_family]
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"""Delete this column family.
For example:
.. literalinclude:: snippets_table.py
:start-after: [START bigtable_delete_column_family]
:end-before: [END bigtable_delete_column_family]
"""
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train | _maybe_wrap_exception | Wraps a gRPC exception class, if needed. | firestore/google/cloud/firestore_v1beta1/watch.py | def _maybe_wrap_exception(exception):
"""Wraps a gRPC exception class, if needed."""
if isinstance(exception, grpc.RpcError):
return exceptions.from_grpc_error(exception)
return exception | def _maybe_wrap_exception(exception):
"""Wraps a gRPC exception class, if needed."""
if isinstance(exception, grpc.RpcError):
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train | Watch.close | Stop consuming messages and shutdown all helper threads.
This method is idempotent. Additional calls will have no effect.
Args:
reason (Any): The reason to close this. If None, this is considered
an "intentional" shutdown. | firestore/google/cloud/firestore_v1beta1/watch.py | def close(self, reason=None):
"""Stop consuming messages and shutdown all helper threads.
This method is idempotent. Additional calls will have no effect.
Args:
reason (Any): The reason to close this. If None, this is considered
an "intentional" shutdown.
""... | def close(self, reason=None):
"""Stop consuming messages and shutdown all helper threads.
This method is idempotent. Additional calls will have no effect.
Args:
reason (Any): The reason to close this. If None, this is considered
an "intentional" shutdown.
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train | Watch._on_rpc_done | Triggered whenever the underlying RPC terminates without recovery.
This is typically triggered from one of two threads: the background
consumer thread (when calling ``recv()`` produces a non-recoverable
error) or the grpc management thread (when cancelling the RPC).
This method is *non... | firestore/google/cloud/firestore_v1beta1/watch.py | def _on_rpc_done(self, future):
"""Triggered whenever the underlying RPC terminates without recovery.
This is typically triggered from one of two threads: the background
consumer thread (when calling ``recv()`` produces a non-recoverable
error) or the grpc management thread (when cancel... | def _on_rpc_done(self, future):
"""Triggered whenever the underlying RPC terminates without recovery.
This is typically triggered from one of two threads: the background
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train | Watch.for_document | Creates a watch snapshot listener for a document. snapshot_callback
receives a DocumentChange object, but may also start to get
targetChange and such soon
Args:
document_ref: Reference to Document
snapshot_callback: callback to be called on snapshot
snapshot_... | firestore/google/cloud/firestore_v1beta1/watch.py | def for_document(
cls,
document_ref,
snapshot_callback,
snapshot_class_instance,
reference_class_instance,
):
"""
Creates a watch snapshot listener for a document. snapshot_callback
receives a DocumentChange object, but may also start to get
ta... | def for_document(
cls,
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snapshot_callback,
snapshot_class_instance,
reference_class_instance,
):
"""
Creates a watch snapshot listener for a document. snapshot_callback
receives a DocumentChange object, but may also start to get
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train | Watch.on_snapshot | Called everytime there is a response from listen. Collect changes
and 'push' the changes in a batch to the customer when we receive
'current' from the listen response.
Args:
listen_response(`google.cloud.firestore_v1beta1.types.ListenResponse`):
Callback method that ... | firestore/google/cloud/firestore_v1beta1/watch.py | def on_snapshot(self, proto):
"""
Called everytime there is a response from listen. Collect changes
and 'push' the changes in a batch to the customer when we receive
'current' from the listen response.
Args:
listen_response(`google.cloud.firestore_v1beta1.types.Liste... | def on_snapshot(self, proto):
"""
Called everytime there is a response from listen. Collect changes
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'current' from the listen response.
Args:
listen_response(`google.cloud.firestore_v1beta1.types.Liste... | [
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train | Watch.push | Assembles a new snapshot from the current set of changes and invokes
the user's callback. Clears the current changes on completion. | firestore/google/cloud/firestore_v1beta1/watch.py | def push(self, read_time, next_resume_token):
"""
Assembles a new snapshot from the current set of changes and invokes
the user's callback. Clears the current changes on completion.
"""
deletes, adds, updates = Watch._extract_changes(
self.doc_map, self.change_map, re... | def push(self, read_time, next_resume_token):
"""
Assembles a new snapshot from the current set of changes and invokes
the user's callback. Clears the current changes on completion.
"""
deletes, adds, updates = Watch._extract_changes(
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train | Watch._current_size | Returns the current count of all documents, including the changes from
the current changeMap. | firestore/google/cloud/firestore_v1beta1/watch.py | def _current_size(self):
"""
Returns the current count of all documents, including the changes from
the current changeMap.
"""
deletes, adds, _ = Watch._extract_changes(self.doc_map, self.change_map, None)
return len(self.doc_map) + len(adds) - len(deletes) | def _current_size(self):
"""
Returns the current count of all documents, including the changes from
the current changeMap.
"""
deletes, adds, _ = Watch._extract_changes(self.doc_map, self.change_map, None)
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train | Watch._reset_docs | Helper to clear the docs on RESET or filter mismatch. | firestore/google/cloud/firestore_v1beta1/watch.py | def _reset_docs(self):
"""
Helper to clear the docs on RESET or filter mismatch.
"""
_LOGGER.debug("resetting documents")
self.change_map.clear()
self.resume_token = None
# Mark each document as deleted. If documents are not deleted
# they will be sent ag... | def _reset_docs(self):
"""
Helper to clear the docs on RESET or filter mismatch.
"""
_LOGGER.debug("resetting documents")
self.change_map.clear()
self.resume_token = None
# Mark each document as deleted. If documents are not deleted
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"... | 85e80125a59cb10f8cb105f25ecc099e4b940b50 |
train | JSONConnection.build_api_url | Construct an API url given a few components, some optional.
Typically, you shouldn't need to use this method.
:type path: str
:param path: The path to the resource (ie, ``'/b/bucket-name'``).
:type query_params: dict or list
:param query_params: A dictionary of keys and values... | core/google/cloud/_http.py | def build_api_url(
cls, path, query_params=None, api_base_url=None, api_version=None
):
"""Construct an API url given a few components, some optional.
Typically, you shouldn't need to use this method.
:type path: str
:param path: The path to the resource (ie, ``'/b/bucket-n... | def build_api_url(
cls, path, query_params=None, api_base_url=None, api_version=None
):
"""Construct an API url given a few components, some optional.
Typically, you shouldn't need to use this method.
:type path: str
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