Source code for airflow.providers.google.cloud.hooks.workflows

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from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.cloud.workflows.executions_v1beta import Execution, ExecutionsClient
from google.cloud.workflows_v1beta import Workflow, WorkflowsClient

from airflow.providers.google.common.consts import CLIENT_INFO
from airflow.providers.google.common.hooks.base_google import PROVIDE_PROJECT_ID, GoogleBaseHook

if TYPE_CHECKING:
    from google.api_core.operation import Operation
    from google.api_core.retry import Retry
    from google.cloud.workflows.executions_v1beta.services.executions.pagers import ListExecutionsPager
    from google.cloud.workflows_v1beta.services.workflows.pagers import ListWorkflowsPager
    from google.protobuf.field_mask_pb2 import FieldMask


[docs]class WorkflowsHook(GoogleBaseHook): """ Hook for Google GCP APIs. All the methods in the hook where project_id is used must be called with keyword arguments rather than positional. """ def __init__(self, **kwargs): if kwargs.get("delegate_to") is not None: raise RuntimeError( "The `delegate_to` parameter has been deprecated before and finally removed in this version" " of Google Provider. You MUST convert it to `impersonate_chain`" ) super().__init__(**kwargs)
[docs] def get_workflows_client(self) -> WorkflowsClient: """Returns WorkflowsClient.""" return WorkflowsClient(credentials=self.get_credentials(), client_info=CLIENT_INFO)
[docs] def get_executions_client(self) -> ExecutionsClient: """Returns ExecutionsClient.""" return ExecutionsClient(credentials=self.get_credentials(), client_info=CLIENT_INFO)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_workflow( self, workflow: dict, workflow_id: str, location: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Operation: """ Creates a new workflow. If a workflow with the specified name already exists in the specified project and location, the long running operation will return [ALREADY_EXISTS][google.rpc.Code.ALREADY_EXISTS] error. :param workflow: Required. Workflow to be created. :param workflow_id: Required. The ID of the workflow to be created. :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :param location: Required. The GCP region in which to handle the request. :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :param timeout: 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. :param metadata: Additional metadata that is provided to the method. """ metadata = metadata or () client = self.get_workflows_client() parent = f"projects/{project_id}/locations/{location}" return client.create_workflow( request={"parent": parent, "workflow": workflow, "workflow_id": workflow_id}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def get_workflow( self, workflow_id: str, location: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Workflow: """ Gets details of a single Workflow. :param workflow_id: Required. The ID of the workflow to be created. :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :param location: Required. The GCP region in which to handle the request. :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :param timeout: 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. :param metadata: Additional metadata that is provided to the method. """ metadata = metadata or () client = self.get_workflows_client() name = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}" return client.get_workflow(request={"name": name}, retry=retry, timeout=timeout, metadata=metadata)
[docs] def update_workflow( self, workflow: dict | Workflow, update_mask: FieldMask | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Operation: """ Updates an existing workflow. Running this method has no impact on already running executions of the workflow. A new revision of the workflow may be created as a result of a successful update operation. In that case, such revision will be used in new workflow executions. :param workflow: Required. Workflow to be created. :param update_mask: List of fields to be updated. If not present, the entire workflow will be updated. :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :param timeout: 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. :param metadata: Additional metadata that is provided to the method. """ metadata = metadata or () client = self.get_workflows_client() return client.update_workflow( request={"workflow": workflow, "update_mask": update_mask}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_workflow( self, workflow_id: str, location: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Operation: """ Delete a workflow with the specified name and all running executions of the workflow. :param workflow_id: Required. The ID of the workflow to be created. :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :param location: Required. The GCP region in which to handle the request. :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :param timeout: 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. :param metadata: Additional metadata that is provided to the method. """ metadata = metadata or () client = self.get_workflows_client() name = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}" return client.delete_workflow(request={"name": name}, retry=retry, timeout=timeout, metadata=metadata)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def list_workflows( self, location: str, project_id: str = PROVIDE_PROJECT_ID, filter_: str | None = None, order_by: str | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> ListWorkflowsPager: """ Lists Workflows in a given project and location; the default order is not specified. :param filter_: Filter to restrict results to specific workflows. :param order_by: Comma-separated list of fields that specifies the order of the results. Default sorting order for a field is ascending. To specify descending order for a field, append a "desc" suffix. If not specified, the results will be returned in an unspecified order. :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :param location: Required. The GCP region in which to handle the request. :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :param timeout: 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. :param metadata: Additional metadata that is provided to the method. """ metadata = metadata or () client = self.get_workflows_client() parent = f"projects/{project_id}/locations/{location}" return client.list_workflows( request={"parent": parent, "filter": filter_, "order_by": order_by}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_execution( self, workflow_id: str, location: str, execution: dict, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Execution: """ Creates a new execution using the latest revision of the given workflow. :param execution: Required. Input parameters of the execution represented as a dictionary. :param workflow_id: Required. The ID of the workflow. :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :param location: Required. The GCP region in which to handle the request. :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :param timeout: 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. :param metadata: Additional metadata that is provided to the method. """ metadata = metadata or () client = self.get_executions_client() parent = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}" execution = {k: str(v) if isinstance(v, dict) else v for k, v in execution.items()} return client.create_execution( request={"parent": parent, "execution": execution}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def get_execution( self, workflow_id: str, execution_id: str, location: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Execution: """ Returns an execution for the given ``workflow_id`` and ``execution_id``. :param workflow_id: Required. The ID of the workflow. :param execution_id: Required. The ID of the execution. :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :param location: Required. The GCP region in which to handle the request. :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :param timeout: 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. :param metadata: Additional metadata that is provided to the method. """ metadata = metadata or () client = self.get_executions_client() name = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}/executions/{execution_id}" return client.get_execution(request={"name": name}, retry=retry, timeout=timeout, metadata=metadata)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def cancel_execution( self, workflow_id: str, execution_id: str, location: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Execution: """ Cancels an execution using the given ``workflow_id`` and ``execution_id``. :param workflow_id: Required. The ID of the workflow. :param execution_id: Required. The ID of the execution. :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :param location: Required. The GCP region in which to handle the request. :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :param timeout: 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. :param metadata: Additional metadata that is provided to the method. """ metadata = metadata or () client = self.get_executions_client() name = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}/executions/{execution_id}" return client.cancel_execution( request={"name": name}, retry=retry, timeout=timeout, metadata=metadata )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def list_executions( self, workflow_id: str, location: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> ListExecutionsPager: """ Returns a list of executions which belong to the workflow with the given name. The method returns executions of all workflow revisions. Returned executions are ordered by their start time (newest first). :param workflow_id: Required. The ID of the workflow to be created. :param project_id: Required. The ID of the Google Cloud project the cluster belongs to. :param location: Required. The GCP region in which to handle the request. :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be retried. :param timeout: 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. :param metadata: Additional metadata that is provided to the method. """ metadata = metadata or () client = self.get_executions_client() parent = f"projects/{project_id}/locations/{location}/workflows/{workflow_id}" return client.list_executions( request={"parent": parent}, retry=retry, timeout=timeout, metadata=metadata )

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