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

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you 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
#
#   http://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.
"""This module contains a CloudTasksHook which allows you to connect to Google Cloud Tasks service."""

from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.cloud.tasks_v2 import CloudTasksClient
from google.cloud.tasks_v2.types import Queue, Task

from airflow.exceptions import AirflowException
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.retry import Retry
    from google.protobuf.field_mask_pb2 import FieldMask


[docs]class CloudTasksHook(GoogleBaseHook): """ Hook for Google Cloud Tasks APIs. Cloud Tasks allows developers to manage the execution of background work in their applications. All the methods in the hook where project_id is used must be called with keyword arguments rather than positional. :param gcp_conn_id: The connection ID to use when fetching connection info. :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account. """ def __init__( self, gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: 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__( gcp_conn_id=gcp_conn_id, impersonation_chain=impersonation_chain, ) self._client: CloudTasksClient | None = None
[docs] def get_conn(self) -> CloudTasksClient: """ Provide a client for interacting with the Google Cloud Tasks API. :return: Google Cloud Tasks API Client """ if self._client is None: self._client = CloudTasksClient(credentials=self.get_credentials(), client_info=CLIENT_INFO) return self._client
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_queue( self, location: str, task_queue: dict | Queue, project_id: str = PROVIDE_PROJECT_ID, queue_name: str | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Queue: """ Create a queue in Cloud Tasks. :param location: The location name in which the queue will be created. :param task_queue: The task queue to create. Queue's name cannot be the same as an existing queue. If a dict is provided, it must be of the same form as the protobuf message Queue. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param queue_name: (Optional) The queue's name. If provided, it will be used to construct the full queue path. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() if queue_name: full_queue_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}" if isinstance(task_queue, Queue): task_queue.name = full_queue_name elif isinstance(task_queue, dict): task_queue["name"] = full_queue_name else: raise AirflowException("Unable to set queue_name.") full_location_path = f"projects/{project_id}/locations/{location}" return client.create_queue( request={"parent": full_location_path, "queue": task_queue}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def update_queue( self, task_queue: Queue, project_id: str = PROVIDE_PROJECT_ID, location: str | None = None, queue_name: str | None = None, update_mask: FieldMask | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Queue: """ Update a queue in Cloud Tasks. :param task_queue: The task queue to update. This method creates the queue if it does not exist and updates the queue if it does exist. The queue's name must be specified. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param location: (Optional) The location name in which the queue will be updated. If provided, it will be used to construct the full queue path. :param queue_name: (Optional) The queue's name. If provided, it will be used to construct the full queue path. :param update_mask: A mast used to specify which fields of the queue are being updated. If empty, then all fields will be updated. If a dict is provided, it must be of the same form as the protobuf message. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() if queue_name and location: full_queue_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}" if isinstance(task_queue, Queue): task_queue.name = full_queue_name elif isinstance(task_queue, dict): task_queue["name"] = full_queue_name else: raise AirflowException("Unable to set queue_name.") return client.update_queue( request={"queue": task_queue, "update_mask": update_mask}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def get_queue( self, location: str, queue_name: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Queue: """ Get a queue from Cloud Tasks. :param location: The location name in which the queue was created. :param queue_name: The queue's name. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_queue_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}" return client.get_queue( request={"name": full_queue_name}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def list_queues( self, location: str, project_id: str = PROVIDE_PROJECT_ID, results_filter: str | None = None, page_size: int | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> list[Queue]: """ List queues from Cloud Tasks. :param location: The location name in which the queues were created. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param results_filter: (Optional) Filter used to specify a subset of queues. :param page_size: (Optional) The maximum number of resources contained in the underlying API response. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_location_path = f"projects/{project_id}/locations/{location}" queues = client.list_queues( request={"parent": full_location_path, "filter": results_filter, "page_size": page_size}, retry=retry, timeout=timeout, metadata=metadata, ) return list(queues)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_queue( self, location: str, queue_name: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> None: """ Delete a queue from Cloud Tasks, even if it has tasks in it. :param location: The location name in which the queue will be deleted. :param queue_name: The queue's name. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_queue_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}" client.delete_queue( request={"name": full_queue_name}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def purge_queue( self, location: str, queue_name: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Queue: """ Purges a queue by deleting all of its tasks from Cloud Tasks. :param location: The location name in which the queue will be purged. :param queue_name: The queue's name. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_queue_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}" return client.purge_queue( request={"name": full_queue_name}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def pause_queue( self, location: str, queue_name: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Queue: """ Pauses a queue in Cloud Tasks. :param location: The location name in which the queue will be paused. :param queue_name: The queue's name. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_queue_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}" return client.pause_queue( request={"name": full_queue_name}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def resume_queue( self, location: str, queue_name: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Queue: """ Resumes a queue in Cloud Tasks. :param location: The location name in which the queue will be resumed. :param queue_name: The queue's name. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_queue_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}" return client.resume_queue( request={"name": full_queue_name}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_task( self, location: str, queue_name: str, task: dict | Task, project_id: str = PROVIDE_PROJECT_ID, task_name: str | None = None, response_view: Task.View | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Task: """ Create a task in Cloud Tasks. :param location: The location name in which the task will be created. :param queue_name: The queue's name. :param task: The task to add. If a dict is provided, it must be of the same form as the protobuf message Task. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param task_name: (Optional) The task's name. If provided, it will be used to construct the full task path. :param response_view: (Optional) This field specifies which subset of the Task will be returned. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() if task_name: full_task_name = ( f"projects/{project_id}/locations/{location}/queues/{queue_name}/tasks/{task_name}" ) if isinstance(task, Task): task.name = full_task_name elif isinstance(task, dict): task["name"] = full_task_name else: raise AirflowException("Unable to set task_name.") full_queue_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}" return client.create_task( request={"parent": full_queue_name, "task": task, "response_view": response_view}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def get_task( self, location: str, queue_name: str, task_name: str, project_id: str = PROVIDE_PROJECT_ID, response_view: Task.View | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Task: """ Get a task from Cloud Tasks. :param location: The location name in which the task was created. :param queue_name: The queue's name. :param task_name: The task's name. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param response_view: (Optional) This field specifies which subset of the Task will be returned. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_task_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}/tasks/{task_name}" return client.get_task( request={"name": full_task_name, "response_view": response_view}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def list_tasks( self, location: str, queue_name: str, project_id: str, response_view: Task.View | None = None, page_size: int | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> list[Task]: """ List the tasks in Cloud Tasks. :param location: The location name in which the tasks were created. :param queue_name: The queue's name. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param response_view: (Optional) This field specifies which subset of the Task will be returned. :param page_size: (Optional) The maximum number of resources contained in the underlying API response. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_queue_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}" tasks = client.list_tasks( request={"parent": full_queue_name, "response_view": response_view, "page_size": page_size}, retry=retry, timeout=timeout, metadata=metadata, ) return list(tasks)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_task( self, location: str, queue_name: str, task_name: str, project_id: str, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> None: """ Delete a task from Cloud Tasks. :param location: The location name in which the task will be deleted. :param queue_name: The queue's name. :param task_name: The task's name. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_task_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}/tasks/{task_name}" client.delete_task( request={"name": full_task_name}, retry=retry, timeout=timeout, metadata=metadata, )
@GoogleBaseHook.fallback_to_default_project_id
[docs] def run_task( self, location: str, queue_name: str, task_name: str, project_id: str, response_view: Task.View | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> Task: """ Force run a task in Cloud Tasks. :param location: The location name in which the task was created. :param queue_name: The queue's name. :param task_name: The task's name. :param project_id: (Optional) The ID of the Google Cloud project that owns the Cloud Tasks. If set to None or missing, the default project_id from the Google Cloud connection is used. :param response_view: (Optional) This field specifies which subset of the Task will be returned. :param retry: (Optional) A retry object used to retry requests. If None is specified, requests will not be retried. :param timeout: (Optional) 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: (Optional) Additional metadata that is provided to the method. """ client = self.get_conn() full_task_name = f"projects/{project_id}/locations/{location}/queues/{queue_name}/tasks/{task_name}" return client.run_task( request={"name": full_task_name, "response_view": response_view}, retry=retry, timeout=timeout, metadata=metadata, )

Was this entry helpful?