Source code for google.cloud.dataproc_v1beta2.gapic.workflow_template_service_client

# -*- coding: utf-8 -*-
#
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Accesses the google.cloud.dataproc.v1beta2 WorkflowTemplateService API."""

import functools
import pkg_resources
import warnings

from google.oauth2 import service_account
import google.api_core.client_options
import google.api_core.gapic_v1.client_info
import google.api_core.gapic_v1.config
import google.api_core.gapic_v1.method
import google.api_core.gapic_v1.routing_header
import google.api_core.grpc_helpers
import google.api_core.operation
import google.api_core.operations_v1
import google.api_core.page_iterator
import google.api_core.path_template
import grpc

from google.cloud.dataproc_v1beta2.gapic import enums
from google.cloud.dataproc_v1beta2.gapic import workflow_template_service_client_config
from google.cloud.dataproc_v1beta2.gapic.transports import (
    workflow_template_service_grpc_transport,
)
from google.cloud.dataproc_v1beta2.proto import autoscaling_policies_pb2
from google.cloud.dataproc_v1beta2.proto import autoscaling_policies_pb2_grpc
from google.cloud.dataproc_v1beta2.proto import clusters_pb2
from google.cloud.dataproc_v1beta2.proto import clusters_pb2_grpc
from google.cloud.dataproc_v1beta2.proto import jobs_pb2
from google.cloud.dataproc_v1beta2.proto import jobs_pb2_grpc
from google.cloud.dataproc_v1beta2.proto import operations_pb2 as proto_operations_pb2
from google.cloud.dataproc_v1beta2.proto import workflow_templates_pb2
from google.cloud.dataproc_v1beta2.proto import workflow_templates_pb2_grpc
from google.longrunning import operations_pb2 as longrunning_operations_pb2
from google.protobuf import duration_pb2
from google.protobuf import empty_pb2
from google.protobuf import field_mask_pb2


_GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution("google-cloud-dataproc").version


class WorkflowTemplateServiceClient(object):
    """
    The API interface for managing Workflow Templates in the
    Cloud Dataproc API.
    """

    SERVICE_ADDRESS = "dataproc.googleapis.com:443"
    """The default address of the service."""

    # The name of the interface for this client. This is the key used to
    # find the method configuration in the client_config dictionary.
    _INTERFACE_NAME = "google.cloud.dataproc.v1beta2.WorkflowTemplateService"

[docs] @classmethod def from_service_account_file(cls, filename, *args, **kwargs): """Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private key json file. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: WorkflowTemplateServiceClient: The constructed client. """ credentials = service_account.Credentials.from_service_account_file(filename) kwargs["credentials"] = credentials return cls(*args, **kwargs)
from_service_account_json = from_service_account_file
[docs] @classmethod def region_path(cls, project, region): """Return a fully-qualified region string.""" return google.api_core.path_template.expand( "projects/{project}/regions/{region}", project=project, region=region )
[docs] @classmethod def workflow_template_path(cls, project, region, workflow_template): """Return a fully-qualified workflow_template string.""" return google.api_core.path_template.expand( "projects/{project}/regions/{region}/workflowTemplates/{workflow_template}", project=project, region=region, workflow_template=workflow_template, )
def __init__( self, transport=None, channel=None, credentials=None, client_config=None, client_info=None, client_options=None, ): """Constructor. Args: transport (Union[~.WorkflowTemplateServiceGrpcTransport, Callable[[~.Credentials, type], ~.WorkflowTemplateServiceGrpcTransport]): A transport instance, responsible for actually making the API calls. The default transport uses the gRPC protocol. This argument may also be a callable which returns a transport instance. Callables will be sent the credentials as the first argument and the default transport class as the second argument. channel (grpc.Channel): DEPRECATED. A ``Channel`` instance through which to make calls. This argument is mutually exclusive with ``credentials``; providing both will raise an exception. credentials (google.auth.credentials.Credentials): The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to ``transport``; doing so will raise an exception. client_config (dict): DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used. client_info (google.api_core.gapic_v1.client_info.ClientInfo): The client info used to send a user-agent string along with API requests. If ``None``, then default info will be used. Generally, you only need to set this if you're developing your own client library. client_options (Union[dict, google.api_core.client_options.ClientOptions]): Client options used to set user options on the client. API Endpoint should be set through client_options. """ # Raise deprecation warnings for things we want to go away. if client_config is not None: warnings.warn( "The `client_config` argument is deprecated.", PendingDeprecationWarning, stacklevel=2, ) else: client_config = workflow_template_service_client_config.config if channel: warnings.warn( "The `channel` argument is deprecated; use " "`transport` instead.", PendingDeprecationWarning, stacklevel=2, ) api_endpoint = self.SERVICE_ADDRESS if client_options: if type(client_options) == dict: client_options = google.api_core.client_options.from_dict( client_options ) if client_options.api_endpoint: api_endpoint = client_options.api_endpoint # Instantiate the transport. # The transport is responsible for handling serialization and # deserialization and actually sending data to the service. if transport: if callable(transport): self.transport = transport( credentials=credentials, default_class=workflow_template_service_grpc_transport.WorkflowTemplateServiceGrpcTransport, address=api_endpoint, ) else: if credentials: raise ValueError( "Received both a transport instance and " "credentials; these are mutually exclusive." ) self.transport = transport else: self.transport = workflow_template_service_grpc_transport.WorkflowTemplateServiceGrpcTransport( address=api_endpoint, channel=channel, credentials=credentials ) if client_info is None: client_info = google.api_core.gapic_v1.client_info.ClientInfo( gapic_version=_GAPIC_LIBRARY_VERSION ) else: client_info.gapic_version = _GAPIC_LIBRARY_VERSION self._client_info = client_info # Parse out the default settings for retry and timeout for each RPC # from the client configuration. # (Ordinarily, these are the defaults specified in the `*_config.py` # file next to this one.) self._method_configs = google.api_core.gapic_v1.config.parse_method_configs( client_config["interfaces"][self._INTERFACE_NAME] ) # Save a dictionary of cached API call functions. # These are the actual callables which invoke the proper # transport methods, wrapped with `wrap_method` to add retry, # timeout, and the like. self._inner_api_calls = {} # Service calls
[docs] def create_workflow_template( self, parent, template, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Creates new workflow template. Example: >>> from google.cloud import dataproc_v1beta2 >>> >>> client = dataproc_v1beta2.WorkflowTemplateServiceClient() >>> >>> parent = client.region_path('[PROJECT]', '[REGION]') >>> >>> # TODO: Initialize `template`: >>> template = {} >>> >>> response = client.create_workflow_template(parent, template) Args: parent (str): Required. The "resource name" of the region, as described in https://cloud.google.com/apis/design/resource\_names of the form ``projects/{project_id}/regions/{region}`` template (Union[dict, ~google.cloud.dataproc_v1beta2.types.WorkflowTemplate]): Required. The Dataproc workflow template to create. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the method. Returns: A :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "create_workflow_template" not in self._inner_api_calls: self._inner_api_calls[ "create_workflow_template" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.create_workflow_template, default_retry=self._method_configs["CreateWorkflowTemplate"].retry, default_timeout=self._method_configs["CreateWorkflowTemplate"].timeout, client_info=self._client_info, ) request = workflow_templates_pb2.CreateWorkflowTemplateRequest( parent=parent, template=template ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("parent", parent)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["create_workflow_template"]( request, retry=retry, timeout=timeout, metadata=metadata )
[docs] def get_workflow_template( self, name, version=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Retrieves the latest workflow template. Can retrieve previously instantiated template by specifying optional version parameter. Example: >>> from google.cloud import dataproc_v1beta2 >>> >>> client = dataproc_v1beta2.WorkflowTemplateServiceClient() >>> >>> name = client.workflow_template_path('[PROJECT]', '[REGION]', '[WORKFLOW_TEMPLATE]') >>> >>> response = client.get_workflow_template(name) Args: name (str): Required. The "resource name" of the workflow template, as described in https://cloud.google.com/apis/design/resource\_names of the form ``projects/{project_id}/regions/{region}/workflowTemplates/{template_id}`` version (int): Optional. The version of workflow template to retrieve. Only previously instatiated versions can be retrieved. If unspecified, retrieves the current version. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the method. Returns: A :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "get_workflow_template" not in self._inner_api_calls: self._inner_api_calls[ "get_workflow_template" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.get_workflow_template, default_retry=self._method_configs["GetWorkflowTemplate"].retry, default_timeout=self._method_configs["GetWorkflowTemplate"].timeout, client_info=self._client_info, ) request = workflow_templates_pb2.GetWorkflowTemplateRequest( name=name, version=version ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["get_workflow_template"]( request, retry=retry, timeout=timeout, metadata=metadata )
[docs] def instantiate_workflow_template( self, name, version=None, instance_id=None, request_id=None, parameters=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Instantiates a template and begins execution. The returned Operation can be used to track execution of workflow by polling ``operations.get``. The Operation will complete when entire workflow is finished. The running workflow can be aborted via ``operations.cancel``. This will cause any inflight jobs to be cancelled and workflow-owned clusters to be deleted. The ``Operation.metadata`` will be ``WorkflowMetadata``. On successful completion, ``Operation.response`` will be ``Empty``. Example: >>> from google.cloud import dataproc_v1beta2 >>> >>> client = dataproc_v1beta2.WorkflowTemplateServiceClient() >>> >>> name = client.workflow_template_path('[PROJECT]', '[REGION]', '[WORKFLOW_TEMPLATE]') >>> >>> response = client.instantiate_workflow_template(name) >>> >>> def callback(operation_future): ... # Handle result. ... result = operation_future.result() >>> >>> response.add_done_callback(callback) >>> >>> # Handle metadata. >>> metadata = response.metadata() Args: name (str): Required. The "resource name" of the workflow template, as described in https://cloud.google.com/apis/design/resource\_names of the form ``projects/{project_id}/regions/{region}/workflowTemplates/{template_id}`` version (int): Optional. The version of workflow template to instantiate. If specified, the workflow will be instantiated only if the current version of the workflow template has the supplied version. This option cannot be used to instantiate a previous version of workflow template. instance_id (str): Deprecated. Please use ``request_id`` field instead. request_id (str): Optional. A tag that prevents multiple concurrent workflow instances with the same tag from running. This mitigates risk of concurrent instances started due to retries. It is recommended to always set this value to a `UUID <https://en.wikipedia.org/wiki/Universally_unique_identifier>`__. The tag must contain only letters (a-z, A-Z), numbers (0-9), underscores (\_), and hyphens (-). The maximum length is 40 characters. parameters (dict[str -> str]): Optional. Map from parameter names to values that should be used for those parameters. Values may not exceed 100 characters. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the method. Returns: A :class:`~google.cloud.dataproc_v1beta2.types._OperationFuture` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "instantiate_workflow_template" not in self._inner_api_calls: self._inner_api_calls[ "instantiate_workflow_template" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.instantiate_workflow_template, default_retry=self._method_configs["InstantiateWorkflowTemplate"].retry, default_timeout=self._method_configs[ "InstantiateWorkflowTemplate" ].timeout, client_info=self._client_info, ) request = workflow_templates_pb2.InstantiateWorkflowTemplateRequest( name=name, version=version, instance_id=instance_id, request_id=request_id, parameters=parameters, ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) operation = self._inner_api_calls["instantiate_workflow_template"]( request, retry=retry, timeout=timeout, metadata=metadata ) return google.api_core.operation.from_gapic( operation, self.transport._operations_client, empty_pb2.Empty, metadata_type=workflow_templates_pb2.WorkflowMetadata, )
[docs] def instantiate_inline_workflow_template( self, parent, template, instance_id=None, request_id=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Instantiates a template and begins execution. This method is equivalent to executing the sequence ``CreateWorkflowTemplate``, ``InstantiateWorkflowTemplate``, ``DeleteWorkflowTemplate``. The returned Operation can be used to track execution of workflow by polling ``operations.get``. The Operation will complete when entire workflow is finished. The running workflow can be aborted via ``operations.cancel``. This will cause any inflight jobs to be cancelled and workflow-owned clusters to be deleted. The ``Operation.metadata`` will be ``WorkflowMetadata``. On successful completion, ``Operation.response`` will be ``Empty``. Example: >>> from google.cloud import dataproc_v1beta2 >>> >>> client = dataproc_v1beta2.WorkflowTemplateServiceClient() >>> >>> parent = client.region_path('[PROJECT]', '[REGION]') >>> >>> # TODO: Initialize `template`: >>> template = {} >>> >>> response = client.instantiate_inline_workflow_template(parent, template) >>> >>> def callback(operation_future): ... # Handle result. ... result = operation_future.result() >>> >>> response.add_done_callback(callback) >>> >>> # Handle metadata. >>> metadata = response.metadata() Args: parent (str): Required. The "resource name" of the workflow template region, as described in https://cloud.google.com/apis/design/resource\_names of the form ``projects/{project_id}/regions/{region}`` template (Union[dict, ~google.cloud.dataproc_v1beta2.types.WorkflowTemplate]): Required. The workflow template to instantiate. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate` instance_id (str): Deprecated. Please use ``request_id`` field instead. request_id (str): Optional. A tag that prevents multiple concurrent workflow instances with the same tag from running. This mitigates risk of concurrent instances started due to retries. It is recommended to always set this value to a `UUID <https://en.wikipedia.org/wiki/Universally_unique_identifier>`__. The tag must contain only letters (a-z, A-Z), numbers (0-9), underscores (\_), and hyphens (-). The maximum length is 40 characters. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the method. Returns: A :class:`~google.cloud.dataproc_v1beta2.types._OperationFuture` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "instantiate_inline_workflow_template" not in self._inner_api_calls: self._inner_api_calls[ "instantiate_inline_workflow_template" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.instantiate_inline_workflow_template, default_retry=self._method_configs[ "InstantiateInlineWorkflowTemplate" ].retry, default_timeout=self._method_configs[ "InstantiateInlineWorkflowTemplate" ].timeout, client_info=self._client_info, ) request = workflow_templates_pb2.InstantiateInlineWorkflowTemplateRequest( parent=parent, template=template, instance_id=instance_id, request_id=request_id, ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("parent", parent)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) operation = self._inner_api_calls["instantiate_inline_workflow_template"]( request, retry=retry, timeout=timeout, metadata=metadata ) return google.api_core.operation.from_gapic( operation, self.transport._operations_client, empty_pb2.Empty, metadata_type=workflow_templates_pb2.WorkflowMetadata, )
[docs] def update_workflow_template( self, template, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Updates (replaces) workflow template. The updated template must contain version that matches the current server version. Example: >>> from google.cloud import dataproc_v1beta2 >>> >>> client = dataproc_v1beta2.WorkflowTemplateServiceClient() >>> >>> # TODO: Initialize `template`: >>> template = {} >>> >>> response = client.update_workflow_template(template) Args: template (Union[dict, ~google.cloud.dataproc_v1beta2.types.WorkflowTemplate]): Required. The updated workflow template. The ``template.version`` field must match the current version. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the method. Returns: A :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "update_workflow_template" not in self._inner_api_calls: self._inner_api_calls[ "update_workflow_template" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.update_workflow_template, default_retry=self._method_configs["UpdateWorkflowTemplate"].retry, default_timeout=self._method_configs["UpdateWorkflowTemplate"].timeout, client_info=self._client_info, ) request = workflow_templates_pb2.UpdateWorkflowTemplateRequest( template=template ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("template.name", template.name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["update_workflow_template"]( request, retry=retry, timeout=timeout, metadata=metadata )
[docs] def list_workflow_templates( self, parent, page_size=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Lists workflows that match the specified filter in the request. Example: >>> from google.cloud import dataproc_v1beta2 >>> >>> client = dataproc_v1beta2.WorkflowTemplateServiceClient() >>> >>> parent = client.region_path('[PROJECT]', '[REGION]') >>> >>> # Iterate over all results >>> for element in client.list_workflow_templates(parent): ... # process element ... pass >>> >>> >>> # Alternatively: >>> >>> # Iterate over results one page at a time >>> for page in client.list_workflow_templates(parent).pages: ... for element in page: ... # process element ... pass Args: parent (str): Required. The "resource name" of the region, as described in https://cloud.google.com/apis/design/resource\_names of the form ``projects/{project_id}/regions/{region}`` page_size (int): The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the method. Returns: A :class:`~google.api_core.page_iterator.PageIterator` instance. An iterable of :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate` instances. You can also iterate over the pages of the response using its `pages` property. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "list_workflow_templates" not in self._inner_api_calls: self._inner_api_calls[ "list_workflow_templates" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.list_workflow_templates, default_retry=self._method_configs["ListWorkflowTemplates"].retry, default_timeout=self._method_configs["ListWorkflowTemplates"].timeout, client_info=self._client_info, ) request = workflow_templates_pb2.ListWorkflowTemplatesRequest( parent=parent, page_size=page_size ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("parent", parent)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) iterator = google.api_core.page_iterator.GRPCIterator( client=None, method=functools.partial( self._inner_api_calls["list_workflow_templates"], retry=retry, timeout=timeout, metadata=metadata, ), request=request, items_field="templates", request_token_field="page_token", response_token_field="next_page_token", ) return iterator
[docs] def delete_workflow_template( self, name, version=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Deletes a workflow template. It does not cancel in-progress workflows. Example: >>> from google.cloud import dataproc_v1beta2 >>> >>> client = dataproc_v1beta2.WorkflowTemplateServiceClient() >>> >>> name = client.workflow_template_path('[PROJECT]', '[REGION]', '[WORKFLOW_TEMPLATE]') >>> >>> client.delete_workflow_template(name) Args: name (str): Required. The "resource name" of the workflow template, as described in https://cloud.google.com/apis/design/resource\_names of the form ``projects/{project_id}/regions/{region}/workflowTemplates/{template_id}`` version (int): Optional. The version of workflow template to delete. If specified, will only delete the template if the current server version matches specified version. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the method. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "delete_workflow_template" not in self._inner_api_calls: self._inner_api_calls[ "delete_workflow_template" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.delete_workflow_template, default_retry=self._method_configs["DeleteWorkflowTemplate"].retry, default_timeout=self._method_configs["DeleteWorkflowTemplate"].timeout, client_info=self._client_info, ) request = workflow_templates_pb2.DeleteWorkflowTemplateRequest( name=name, version=version ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) self._inner_api_calls["delete_workflow_template"]( request, retry=retry, timeout=timeout, metadata=metadata )