As of January 1, 2020 this library no longer supports Python 2 on the latest released version.
Library versions released prior to that date will continue to be available. For more information please
visit Python 2 support on Google Cloud.
Source code for google.cloud.tasks_v2.services.cloud_tasks.client
# -*- coding: utf-8 -*-
# Copyright 2024 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
#
# 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.
#
from collections import OrderedDict
import os
import re
from typing import (
Callable,
Dict,
Mapping,
MutableMapping,
MutableSequence,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
import warnings
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry as retries
from google.auth import credentials as ga_credentials # type: ignore
from google.auth.exceptions import MutualTLSChannelError # type: ignore
from google.auth.transport import mtls # type: ignore
from google.auth.transport.grpc import SslCredentials # type: ignore
from google.oauth2 import service_account # type: ignore
from google.cloud.tasks_v2 import gapic_version as package_version
try:
OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
except AttributeError: # pragma: NO COVER
OptionalRetry = Union[retries.Retry, object, None] # type: ignore
from google.cloud.location import locations_pb2 # type: ignore
from google.iam.v1 import iam_policy_pb2 # type: ignore
from google.iam.v1 import policy_pb2 # type: ignore
from google.protobuf import duration_pb2 # type: ignore
from google.protobuf import field_mask_pb2 # type: ignore
from google.protobuf import timestamp_pb2 # type: ignore
from google.cloud.tasks_v2.services.cloud_tasks import pagers
from google.cloud.tasks_v2.types import cloudtasks
from google.cloud.tasks_v2.types import queue
from google.cloud.tasks_v2.types import queue as gct_queue
from google.cloud.tasks_v2.types import target
from google.cloud.tasks_v2.types import task
from google.cloud.tasks_v2.types import task as gct_task
from .transports.base import DEFAULT_CLIENT_INFO, CloudTasksTransport
from .transports.grpc import CloudTasksGrpcTransport
from .transports.grpc_asyncio import CloudTasksGrpcAsyncIOTransport
from .transports.rest import CloudTasksRestTransport
class CloudTasksClientMeta(type):
"""Metaclass for the CloudTasks client.
This provides class-level methods for building and retrieving
support objects (e.g. transport) without polluting the client instance
objects.
"""
_transport_registry = OrderedDict() # type: Dict[str, Type[CloudTasksTransport]]
_transport_registry["grpc"] = CloudTasksGrpcTransport
_transport_registry["grpc_asyncio"] = CloudTasksGrpcAsyncIOTransport
_transport_registry["rest"] = CloudTasksRestTransport
def get_transport_class(
cls,
label: Optional[str] = None,
) -> Type[CloudTasksTransport]:
"""Returns an appropriate transport class.
Args:
label: The name of the desired transport. If none is
provided, then the first transport in the registry is used.
Returns:
The transport class to use.
"""
# If a specific transport is requested, return that one.
if label:
return cls._transport_registry[label]
# No transport is requested; return the default (that is, the first one
# in the dictionary).
return next(iter(cls._transport_registry.values()))
[docs]class CloudTasksClient(metaclass=CloudTasksClientMeta):
"""Cloud Tasks allows developers to manage the execution of
background work in their applications.
"""
@staticmethod
def _get_default_mtls_endpoint(api_endpoint):
"""Converts api endpoint to mTLS endpoint.
Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
"*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
Args:
api_endpoint (Optional[str]): the api endpoint to convert.
Returns:
str: converted mTLS api endpoint.
"""
if not api_endpoint:
return api_endpoint
mtls_endpoint_re = re.compile(
r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
)
m = mtls_endpoint_re.match(api_endpoint)
name, mtls, sandbox, googledomain = m.groups()
if mtls or not googledomain:
return api_endpoint
if sandbox:
return api_endpoint.replace(
"sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
)
return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
# Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
DEFAULT_ENDPOINT = "cloudtasks.googleapis.com"
DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore
DEFAULT_ENDPOINT
)
_DEFAULT_ENDPOINT_TEMPLATE = "cloudtasks.{UNIVERSE_DOMAIN}"
_DEFAULT_UNIVERSE = "googleapis.com"
[docs] @classmethod
def from_service_account_info(cls, info: dict, *args, **kwargs):
"""Creates an instance of this client using the provided credentials
info.
Args:
info (dict): The service account private key info.
args: Additional arguments to pass to the constructor.
kwargs: Additional arguments to pass to the constructor.
Returns:
CloudTasksClient: The constructed client.
"""
credentials = service_account.Credentials.from_service_account_info(info)
kwargs["credentials"] = credentials
return cls(*args, **kwargs)
[docs] @classmethod
def from_service_account_file(cls, filename: str, *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:
CloudTasksClient: 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
@property
def transport(self) -> CloudTasksTransport:
"""Returns the transport used by the client instance.
Returns:
CloudTasksTransport: The transport used by the client
instance.
"""
return self._transport
[docs] @staticmethod
def queue_path(
project: str,
location: str,
queue: str,
) -> str:
"""Returns a fully-qualified queue string."""
return "projects/{project}/locations/{location}/queues/{queue}".format(
project=project,
location=location,
queue=queue,
)
[docs] @staticmethod
def parse_queue_path(path: str) -> Dict[str, str]:
"""Parses a queue path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/queues/(?P<queue>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def task_path(
project: str,
location: str,
queue: str,
task: str,
) -> str:
"""Returns a fully-qualified task string."""
return "projects/{project}/locations/{location}/queues/{queue}/tasks/{task}".format(
project=project,
location=location,
queue=queue,
task=task,
)
[docs] @staticmethod
def parse_task_path(path: str) -> Dict[str, str]:
"""Parses a task path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/queues/(?P<queue>.+?)/tasks/(?P<task>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_billing_account_path(
billing_account: str,
) -> str:
"""Returns a fully-qualified billing_account string."""
return "billingAccounts/{billing_account}".format(
billing_account=billing_account,
)
[docs] @staticmethod
def parse_common_billing_account_path(path: str) -> Dict[str, str]:
"""Parse a billing_account path into its component segments."""
m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_folder_path(
folder: str,
) -> str:
"""Returns a fully-qualified folder string."""
return "folders/{folder}".format(
folder=folder,
)
[docs] @staticmethod
def parse_common_folder_path(path: str) -> Dict[str, str]:
"""Parse a folder path into its component segments."""
m = re.match(r"^folders/(?P<folder>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_organization_path(
organization: str,
) -> str:
"""Returns a fully-qualified organization string."""
return "organizations/{organization}".format(
organization=organization,
)
[docs] @staticmethod
def parse_common_organization_path(path: str) -> Dict[str, str]:
"""Parse a organization path into its component segments."""
m = re.match(r"^organizations/(?P<organization>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_project_path(
project: str,
) -> str:
"""Returns a fully-qualified project string."""
return "projects/{project}".format(
project=project,
)
[docs] @staticmethod
def parse_common_project_path(path: str) -> Dict[str, str]:
"""Parse a project path into its component segments."""
m = re.match(r"^projects/(?P<project>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_location_path(
project: str,
location: str,
) -> str:
"""Returns a fully-qualified location string."""
return "projects/{project}/locations/{location}".format(
project=project,
location=location,
)
[docs] @staticmethod
def parse_common_location_path(path: str) -> Dict[str, str]:
"""Parse a location path into its component segments."""
m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
return m.groupdict() if m else {}
[docs] @classmethod
def get_mtls_endpoint_and_cert_source(
cls, client_options: Optional[client_options_lib.ClientOptions] = None
):
"""Deprecated. Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
client cert source is None.
(2) if `client_options.client_cert_source` is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if `client_options.api_endpoint` if provided, use the provided one.
(2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
default mTLS endpoint; if the environment variable is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Args:
client_options (google.api_core.client_options.ClientOptions): Custom options for the
client. Only the `api_endpoint` and `client_cert_source` properties may be used
in this method.
Returns:
Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
client cert source to use.
Raises:
google.auth.exceptions.MutualTLSChannelError: If any errors happen.
"""
warnings.warn(
"get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
DeprecationWarning,
)
if client_options is None:
client_options = client_options_lib.ClientOptions()
use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
if use_client_cert not in ("true", "false"):
raise ValueError(
"Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
)
if use_mtls_endpoint not in ("auto", "never", "always"):
raise MutualTLSChannelError(
"Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
)
# Figure out the client cert source to use.
client_cert_source = None
if use_client_cert == "true":
if client_options.client_cert_source:
client_cert_source = client_options.client_cert_source
elif mtls.has_default_client_cert_source():
client_cert_source = mtls.default_client_cert_source()
# Figure out which api endpoint to use.
if client_options.api_endpoint is not None:
api_endpoint = client_options.api_endpoint
elif use_mtls_endpoint == "always" or (
use_mtls_endpoint == "auto" and client_cert_source
):
api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
else:
api_endpoint = cls.DEFAULT_ENDPOINT
return api_endpoint, client_cert_source
@staticmethod
def _read_environment_variables():
"""Returns the environment variables used by the client.
Returns:
Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
Raises:
ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
any of ["true", "false"].
google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
is not any of ["auto", "never", "always"].
"""
use_client_cert = os.getenv(
"GOOGLE_API_USE_CLIENT_CERTIFICATE", "false"
).lower()
use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
if use_client_cert not in ("true", "false"):
raise ValueError(
"Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
)
if use_mtls_endpoint not in ("auto", "never", "always"):
raise MutualTLSChannelError(
"Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
)
return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
@staticmethod
def _get_client_cert_source(provided_cert_source, use_cert_flag):
"""Return the client cert source to be used by the client.
Args:
provided_cert_source (bytes): The client certificate source provided.
use_cert_flag (bool): A flag indicating whether to use the client certificate.
Returns:
bytes or None: The client cert source to be used by the client.
"""
client_cert_source = None
if use_cert_flag:
if provided_cert_source:
client_cert_source = provided_cert_source
elif mtls.has_default_client_cert_source():
client_cert_source = mtls.default_client_cert_source()
return client_cert_source
@staticmethod
def _get_api_endpoint(
api_override, client_cert_source, universe_domain, use_mtls_endpoint
):
"""Return the API endpoint used by the client.
Args:
api_override (str): The API endpoint override. If specified, this is always
the return value of this function and the other arguments are not used.
client_cert_source (bytes): The client certificate source used by the client.
universe_domain (str): The universe domain used by the client.
use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
Possible values are "always", "auto", or "never".
Returns:
str: The API endpoint to be used by the client.
"""
if api_override is not None:
api_endpoint = api_override
elif use_mtls_endpoint == "always" or (
use_mtls_endpoint == "auto" and client_cert_source
):
_default_universe = CloudTasksClient._DEFAULT_UNIVERSE
if universe_domain != _default_universe:
raise MutualTLSChannelError(
f"mTLS is not supported in any universe other than {_default_universe}."
)
api_endpoint = CloudTasksClient.DEFAULT_MTLS_ENDPOINT
else:
api_endpoint = CloudTasksClient._DEFAULT_ENDPOINT_TEMPLATE.format(
UNIVERSE_DOMAIN=universe_domain
)
return api_endpoint
@staticmethod
def _get_universe_domain(
client_universe_domain: Optional[str], universe_domain_env: Optional[str]
) -> str:
"""Return the universe domain used by the client.
Args:
client_universe_domain (Optional[str]): The universe domain configured via the client options.
universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
Returns:
str: The universe domain to be used by the client.
Raises:
ValueError: If the universe domain is an empty string.
"""
universe_domain = CloudTasksClient._DEFAULT_UNIVERSE
if client_universe_domain is not None:
universe_domain = client_universe_domain
elif universe_domain_env is not None:
universe_domain = universe_domain_env
if len(universe_domain.strip()) == 0:
raise ValueError("Universe Domain cannot be an empty string.")
return universe_domain
def _validate_universe_domain(self):
"""Validates client's and credentials' universe domains are consistent.
Returns:
bool: True iff the configured universe domain is valid.
Raises:
ValueError: If the configured universe domain is not valid.
"""
# NOTE (b/349488459): universe validation is disabled until further notice.
return True
@property
def api_endpoint(self):
"""Return the API endpoint used by the client instance.
Returns:
str: The API endpoint used by the client instance.
"""
return self._api_endpoint
@property
def universe_domain(self) -> str:
"""Return the universe domain used by the client instance.
Returns:
str: The universe domain used by the client instance.
"""
return self._universe_domain
def __init__(
self,
*,
credentials: Optional[ga_credentials.Credentials] = None,
transport: Optional[
Union[str, CloudTasksTransport, Callable[..., CloudTasksTransport]]
] = None,
client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiates the cloud tasks client.
Args:
credentials (Optional[google.auth.credentials.Credentials]): The
authorization credentials to attach to requests. These
credentials identify the application to the service; if none
are specified, the client will attempt to ascertain the
credentials from the environment.
transport (Optional[Union[str,CloudTasksTransport,Callable[..., CloudTasksTransport]]]):
The transport to use, or a Callable that constructs and returns a new transport.
If a Callable is given, it will be called with the same set of initialization
arguments as used in the CloudTasksTransport constructor.
If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
Custom options for the client.
1. The ``api_endpoint`` property can be used to override the
default endpoint provided by the client when ``transport`` is
not explicitly provided. Only if this property is not set and
``transport`` was not explicitly provided, the endpoint is
determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
variable, which have one of the following values:
"always" (always use the default mTLS endpoint), "never" (always
use the default regular endpoint) and "auto" (auto-switch to the
default mTLS endpoint if client certificate is present; this is
the default value).
2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
is "true", then the ``client_cert_source`` property can be used
to provide a client certificate for mTLS transport. If
not provided, the default SSL client certificate will be used if
present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
set, no client certificate will be used.
3. The ``universe_domain`` property can be used to override the
default "googleapis.com" universe. Note that the ``api_endpoint``
property still takes precedence; and ``universe_domain`` is
currently not supported for mTLS.
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.
Raises:
google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
creation failed for any reason.
"""
self._client_options = client_options
if isinstance(self._client_options, dict):
self._client_options = client_options_lib.from_dict(self._client_options)
if self._client_options is None:
self._client_options = client_options_lib.ClientOptions()
self._client_options = cast(
client_options_lib.ClientOptions, self._client_options
)
universe_domain_opt = getattr(self._client_options, "universe_domain", None)
(
self._use_client_cert,
self._use_mtls_endpoint,
self._universe_domain_env,
) = CloudTasksClient._read_environment_variables()
self._client_cert_source = CloudTasksClient._get_client_cert_source(
self._client_options.client_cert_source, self._use_client_cert
)
self._universe_domain = CloudTasksClient._get_universe_domain(
universe_domain_opt, self._universe_domain_env
)
self._api_endpoint = None # updated below, depending on `transport`
# Initialize the universe domain validation.
self._is_universe_domain_valid = False
api_key_value = getattr(self._client_options, "api_key", None)
if api_key_value and credentials:
raise ValueError(
"client_options.api_key and credentials are mutually exclusive"
)
# Save or instantiate the transport.
# Ordinarily, we provide the transport, but allowing a custom transport
# instance provides an extensibility point for unusual situations.
transport_provided = isinstance(transport, CloudTasksTransport)
if transport_provided:
# transport is a CloudTasksTransport instance.
if credentials or self._client_options.credentials_file or api_key_value:
raise ValueError(
"When providing a transport instance, "
"provide its credentials directly."
)
if self._client_options.scopes:
raise ValueError(
"When providing a transport instance, provide its scopes "
"directly."
)
self._transport = cast(CloudTasksTransport, transport)
self._api_endpoint = self._transport.host
self._api_endpoint = self._api_endpoint or CloudTasksClient._get_api_endpoint(
self._client_options.api_endpoint,
self._client_cert_source,
self._universe_domain,
self._use_mtls_endpoint,
)
if not transport_provided:
import google.auth._default # type: ignore
if api_key_value and hasattr(
google.auth._default, "get_api_key_credentials"
):
credentials = google.auth._default.get_api_key_credentials(
api_key_value
)
transport_init: Union[
Type[CloudTasksTransport], Callable[..., CloudTasksTransport]
] = (
CloudTasksClient.get_transport_class(transport)
if isinstance(transport, str) or transport is None
else cast(Callable[..., CloudTasksTransport], transport)
)
# initialize with the provided callable or the passed in class
self._transport = transport_init(
credentials=credentials,
credentials_file=self._client_options.credentials_file,
host=self._api_endpoint,
scopes=self._client_options.scopes,
client_cert_source_for_mtls=self._client_cert_source,
quota_project_id=self._client_options.quota_project_id,
client_info=client_info,
always_use_jwt_access=True,
api_audience=self._client_options.api_audience,
)
[docs] def list_queues(
self,
request: Optional[Union[cloudtasks.ListQueuesRequest, dict]] = None,
*,
parent: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.ListQueuesPager:
r"""Lists queues.
Queues are returned in lexicographical order.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_list_queues():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.ListQueuesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_queues(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.ListQueuesRequest, dict]):
The request object. Request message for
[ListQueues][google.cloud.tasks.v2.CloudTasks.ListQueues].
parent (str):
Required. The location name. For example:
``projects/PROJECT_ID/locations/LOCATION_ID``
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.services.cloud_tasks.pagers.ListQueuesPager:
Response message for
[ListQueues][google.cloud.tasks.v2.CloudTasks.ListQueues].
Iterating over this object will yield results and
resolve additional pages automatically.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.ListQueuesRequest):
request = cloudtasks.ListQueuesRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.list_queues]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# This method is paged; wrap the response in a pager, which provides
# an `__iter__` convenience method.
response = pagers.ListQueuesPager(
method=rpc,
request=request,
response=response,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_queue(
self,
request: Optional[Union[cloudtasks.GetQueueRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> queue.Queue:
r"""Gets a queue.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_get_queue():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.GetQueueRequest(
name="name_value",
)
# Make the request
response = client.get_queue(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.GetQueueRequest, dict]):
The request object. Request message for
[GetQueue][google.cloud.tasks.v2.CloudTasks.GetQueue].
name (str):
Required. The resource name of the queue. For example:
``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID``
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.types.Queue:
A queue is a container of related
tasks. Queues are configured to manage
how those tasks are dispatched.
Configurable properties include rate
limits, retry options, queue types, and
others.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.GetQueueRequest):
request = cloudtasks.GetQueueRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.get_queue]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def create_queue(
self,
request: Optional[Union[cloudtasks.CreateQueueRequest, dict]] = None,
*,
parent: Optional[str] = None,
queue: Optional[gct_queue.Queue] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> gct_queue.Queue:
r"""Creates a queue.
Queues created with this method allow tasks to live for a
maximum of 31 days. After a task is 31 days old, the task will
be deleted regardless of whether it was dispatched or not.
WARNING: Using this method may have unintended side effects if
you are using an App Engine ``queue.yaml`` or ``queue.xml`` file
to manage your queues. Read `Overview of Queue Management and
queue.yaml <https://cloud.google.com/tasks/docs/queue-yaml>`__
before using this method.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_create_queue():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.CreateQueueRequest(
parent="parent_value",
)
# Make the request
response = client.create_queue(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.CreateQueueRequest, dict]):
The request object. Request message for
[CreateQueue][google.cloud.tasks.v2.CloudTasks.CreateQueue].
parent (str):
Required. The location name in which the queue will be
created. For example:
``projects/PROJECT_ID/locations/LOCATION_ID``
The list of allowed locations can be obtained by calling
Cloud Tasks' implementation of
[ListLocations][google.cloud.location.Locations.ListLocations].
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
queue (google.cloud.tasks_v2.types.Queue):
Required. The queue to create.
[Queue's name][google.cloud.tasks.v2.Queue.name] cannot
be the same as an existing queue.
This corresponds to the ``queue`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.types.Queue:
A queue is a container of related
tasks. Queues are configured to manage
how those tasks are dispatched.
Configurable properties include rate
limits, retry options, queue types, and
others.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent, queue])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.CreateQueueRequest):
request = cloudtasks.CreateQueueRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if queue is not None:
request.queue = queue
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_queue]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def update_queue(
self,
request: Optional[Union[cloudtasks.UpdateQueueRequest, dict]] = None,
*,
queue: Optional[gct_queue.Queue] = None,
update_mask: Optional[field_mask_pb2.FieldMask] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> gct_queue.Queue:
r"""Updates a queue.
This method creates the queue if it does not exist and updates
the queue if it does exist.
Queues created with this method allow tasks to live for a
maximum of 31 days. After a task is 31 days old, the task will
be deleted regardless of whether it was dispatched or not.
WARNING: Using this method may have unintended side effects if
you are using an App Engine ``queue.yaml`` or ``queue.xml`` file
to manage your queues. Read `Overview of Queue Management and
queue.yaml <https://cloud.google.com/tasks/docs/queue-yaml>`__
before using this method.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_update_queue():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.UpdateQueueRequest(
)
# Make the request
response = client.update_queue(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.UpdateQueueRequest, dict]):
The request object. Request message for
[UpdateQueue][google.cloud.tasks.v2.CloudTasks.UpdateQueue].
queue (google.cloud.tasks_v2.types.Queue):
Required. The queue to create or update.
The queue's [name][google.cloud.tasks.v2.Queue.name]
must be specified.
Output only fields cannot be modified using UpdateQueue.
Any value specified for an output only field will be
ignored. The queue's
[name][google.cloud.tasks.v2.Queue.name] cannot be
changed.
This corresponds to the ``queue`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask):
A mask used to specify which fields
of the queue are being updated.
If empty, then all fields will be
updated.
This corresponds to the ``update_mask`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.types.Queue:
A queue is a container of related
tasks. Queues are configured to manage
how those tasks are dispatched.
Configurable properties include rate
limits, retry options, queue types, and
others.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([queue, update_mask])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.UpdateQueueRequest):
request = cloudtasks.UpdateQueueRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if queue is not None:
request.queue = queue
if update_mask is not None:
request.update_mask = update_mask
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.update_queue]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("queue.name", request.queue.name),)
),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def delete_queue(
self,
request: Optional[Union[cloudtasks.DeleteQueueRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> None:
r"""Deletes a queue.
This command will delete the queue even if it has tasks in it.
Note: If you delete a queue, a queue with the same name can't be
created for 7 days.
WARNING: Using this method may have unintended side effects if
you are using an App Engine ``queue.yaml`` or ``queue.xml`` file
to manage your queues. Read `Overview of Queue Management and
queue.yaml <https://cloud.google.com/tasks/docs/queue-yaml>`__
before using this method.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_delete_queue():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.DeleteQueueRequest(
name="name_value",
)
# Make the request
client.delete_queue(request=request)
Args:
request (Union[google.cloud.tasks_v2.types.DeleteQueueRequest, dict]):
The request object. Request message for
[DeleteQueue][google.cloud.tasks.v2.CloudTasks.DeleteQueue].
name (str):
Required. The queue name. For example:
``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID``
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.DeleteQueueRequest):
request = cloudtasks.DeleteQueueRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.delete_queue]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
[docs] def purge_queue(
self,
request: Optional[Union[cloudtasks.PurgeQueueRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> queue.Queue:
r"""Purges a queue by deleting all of its tasks.
All tasks created before this method is called are
permanently deleted.
Purge operations can take up to one minute to take
effect. Tasks might be dispatched before the purge takes
effect. A purge is irreversible.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_purge_queue():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.PurgeQueueRequest(
name="name_value",
)
# Make the request
response = client.purge_queue(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.PurgeQueueRequest, dict]):
The request object. Request message for
[PurgeQueue][google.cloud.tasks.v2.CloudTasks.PurgeQueue].
name (str):
Required. The queue name. For example:
``projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID``
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.types.Queue:
A queue is a container of related
tasks. Queues are configured to manage
how those tasks are dispatched.
Configurable properties include rate
limits, retry options, queue types, and
others.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.PurgeQueueRequest):
request = cloudtasks.PurgeQueueRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.purge_queue]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def pause_queue(
self,
request: Optional[Union[cloudtasks.PauseQueueRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> queue.Queue:
r"""Pauses the queue.
If a queue is paused then the system will stop dispatching tasks
until the queue is resumed via
[ResumeQueue][google.cloud.tasks.v2.CloudTasks.ResumeQueue].
Tasks can still be added when the queue is paused. A queue is
paused if its [state][google.cloud.tasks.v2.Queue.state] is
[PAUSED][google.cloud.tasks.v2.Queue.State.PAUSED].
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_pause_queue():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.PauseQueueRequest(
name="name_value",
)
# Make the request
response = client.pause_queue(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.PauseQueueRequest, dict]):
The request object. Request message for
[PauseQueue][google.cloud.tasks.v2.CloudTasks.PauseQueue].
name (str):
Required. The queue name. For example:
``projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID``
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.types.Queue:
A queue is a container of related
tasks. Queues are configured to manage
how those tasks are dispatched.
Configurable properties include rate
limits, retry options, queue types, and
others.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.PauseQueueRequest):
request = cloudtasks.PauseQueueRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.pause_queue]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def resume_queue(
self,
request: Optional[Union[cloudtasks.ResumeQueueRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> queue.Queue:
r"""Resume a queue.
This method resumes a queue after it has been
[PAUSED][google.cloud.tasks.v2.Queue.State.PAUSED] or
[DISABLED][google.cloud.tasks.v2.Queue.State.DISABLED]. The
state of a queue is stored in the queue's
[state][google.cloud.tasks.v2.Queue.state]; after calling this
method it will be set to
[RUNNING][google.cloud.tasks.v2.Queue.State.RUNNING].
WARNING: Resuming many high-QPS queues at the same time can lead
to target overloading. If you are resuming high-QPS queues,
follow the 500/50/5 pattern described in `Managing Cloud Tasks
Scaling
Risks <https://cloud.google.com/tasks/docs/manage-cloud-task-scaling>`__.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_resume_queue():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.ResumeQueueRequest(
name="name_value",
)
# Make the request
response = client.resume_queue(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.ResumeQueueRequest, dict]):
The request object. Request message for
[ResumeQueue][google.cloud.tasks.v2.CloudTasks.ResumeQueue].
name (str):
Required. The queue name. For example:
``projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID``
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.types.Queue:
A queue is a container of related
tasks. Queues are configured to manage
how those tasks are dispatched.
Configurable properties include rate
limits, retry options, queue types, and
others.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.ResumeQueueRequest):
request = cloudtasks.ResumeQueueRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.resume_queue]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_iam_policy(
self,
request: Optional[Union[iam_policy_pb2.GetIamPolicyRequest, dict]] = None,
*,
resource: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> policy_pb2.Policy:
r"""Gets the access control policy for a
[Queue][google.cloud.tasks.v2.Queue]. Returns an empty policy if
the resource exists and does not have a policy set.
Authorization requires the following `Google
IAM <https://cloud.google.com/iam>`__ permission on the
specified resource parent:
- ``cloudtasks.queues.getIamPolicy``
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
from google.iam.v1 import iam_policy_pb2 # type: ignore
def sample_get_iam_policy():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = iam_policy_pb2.GetIamPolicyRequest(
resource="resource_value",
)
# Make the request
response = client.get_iam_policy(request=request)
# Handle the response
print(response)
Args:
request (Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]):
The request object. Request message for ``GetIamPolicy`` method.
resource (str):
REQUIRED: The resource for which the
policy is being requested. See the
operation documentation for the
appropriate value for this field.
This corresponds to the ``resource`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.iam.v1.policy_pb2.Policy:
An Identity and Access Management (IAM) policy, which specifies access
controls for Google Cloud resources.
A Policy is a collection of bindings. A binding binds
one or more members, or principals, to a single role.
Principals can be user accounts, service accounts,
Google groups, and domains (such as G Suite). A role
is a named list of permissions; each role can be an
IAM predefined role or a user-created custom role.
For some types of Google Cloud resources, a binding
can also specify a condition, which is a logical
expression that allows access to a resource only if
the expression evaluates to true. A condition can add
constraints based on attributes of the request, the
resource, or both. To learn which resources support
conditions in their IAM policies, see the [IAM
documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
**JSON example:**
:literal:`\` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 }`\ \`
**YAML example:**
:literal:`\` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3`\ \`
For a description of IAM and its features, see the
[IAM
documentation](\ https://cloud.google.com/iam/docs/).
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([resource])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
if isinstance(request, dict):
# - The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
request = iam_policy_pb2.GetIamPolicyRequest(**request)
elif not request:
# Null request, just make one.
request = iam_policy_pb2.GetIamPolicyRequest()
if resource is not None:
request.resource = resource
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.get_iam_policy]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def set_iam_policy(
self,
request: Optional[Union[iam_policy_pb2.SetIamPolicyRequest, dict]] = None,
*,
resource: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> policy_pb2.Policy:
r"""Sets the access control policy for a
[Queue][google.cloud.tasks.v2.Queue]. Replaces any existing
policy.
Note: The Cloud Console does not check queue-level IAM
permissions yet. Project-level permissions are required to use
the Cloud Console.
Authorization requires the following `Google
IAM <https://cloud.google.com/iam>`__ permission on the
specified resource parent:
- ``cloudtasks.queues.setIamPolicy``
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
from google.iam.v1 import iam_policy_pb2 # type: ignore
def sample_set_iam_policy():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = iam_policy_pb2.SetIamPolicyRequest(
resource="resource_value",
)
# Make the request
response = client.set_iam_policy(request=request)
# Handle the response
print(response)
Args:
request (Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]):
The request object. Request message for ``SetIamPolicy`` method.
resource (str):
REQUIRED: The resource for which the
policy is being specified. See the
operation documentation for the
appropriate value for this field.
This corresponds to the ``resource`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.iam.v1.policy_pb2.Policy:
An Identity and Access Management (IAM) policy, which specifies access
controls for Google Cloud resources.
A Policy is a collection of bindings. A binding binds
one or more members, or principals, to a single role.
Principals can be user accounts, service accounts,
Google groups, and domains (such as G Suite). A role
is a named list of permissions; each role can be an
IAM predefined role or a user-created custom role.
For some types of Google Cloud resources, a binding
can also specify a condition, which is a logical
expression that allows access to a resource only if
the expression evaluates to true. A condition can add
constraints based on attributes of the request, the
resource, or both. To learn which resources support
conditions in their IAM policies, see the [IAM
documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies).
**JSON example:**
:literal:`\` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 }`\ \`
**YAML example:**
:literal:`\` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3`\ \`
For a description of IAM and its features, see the
[IAM
documentation](\ https://cloud.google.com/iam/docs/).
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([resource])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
if isinstance(request, dict):
# - The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
request = iam_policy_pb2.SetIamPolicyRequest(**request)
elif not request:
# Null request, just make one.
request = iam_policy_pb2.SetIamPolicyRequest()
if resource is not None:
request.resource = resource
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.set_iam_policy]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def test_iam_permissions(
self,
request: Optional[Union[iam_policy_pb2.TestIamPermissionsRequest, dict]] = None,
*,
resource: Optional[str] = None,
permissions: Optional[MutableSequence[str]] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> iam_policy_pb2.TestIamPermissionsResponse:
r"""Returns permissions that a caller has on a
[Queue][google.cloud.tasks.v2.Queue]. If the resource does not
exist, this will return an empty set of permissions, not a
[NOT_FOUND][google.rpc.Code.NOT_FOUND] error.
Note: This operation is designed to be used for building
permission-aware UIs and command-line tools, not for
authorization checking. This operation may "fail open" without
warning.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
from google.iam.v1 import iam_policy_pb2 # type: ignore
def sample_test_iam_permissions():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = iam_policy_pb2.TestIamPermissionsRequest(
resource="resource_value",
permissions=['permissions_value1', 'permissions_value2'],
)
# Make the request
response = client.test_iam_permissions(request=request)
# Handle the response
print(response)
Args:
request (Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]):
The request object. Request message for ``TestIamPermissions`` method.
resource (str):
REQUIRED: The resource for which the
policy detail is being requested. See
the operation documentation for the
appropriate value for this field.
This corresponds to the ``resource`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
permissions (MutableSequence[str]):
The set of permissions to check for the ``resource``.
Permissions with wildcards (such as '*' or 'storage.*')
are not allowed. For more information see `IAM
Overview <https://cloud.google.com/iam/docs/overview#permissions>`__.
This corresponds to the ``permissions`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse:
Response message for TestIamPermissions method.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([resource, permissions])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
if isinstance(request, dict):
# - The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
request = iam_policy_pb2.TestIamPermissionsRequest(**request)
elif not request:
# Null request, just make one.
request = iam_policy_pb2.TestIamPermissionsRequest()
if resource is not None:
request.resource = resource
if permissions:
request.permissions.extend(permissions)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def list_tasks(
self,
request: Optional[Union[cloudtasks.ListTasksRequest, dict]] = None,
*,
parent: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.ListTasksPager:
r"""Lists the tasks in a queue.
By default, only the
[BASIC][google.cloud.tasks.v2.Task.View.BASIC] view is retrieved
due to performance considerations;
[response_view][google.cloud.tasks.v2.ListTasksRequest.response_view]
controls the subset of information which is returned.
The tasks may be returned in any order. The ordering may change
at any time.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_list_tasks():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.ListTasksRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_tasks(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.ListTasksRequest, dict]):
The request object. Request message for listing tasks using
[ListTasks][google.cloud.tasks.v2.CloudTasks.ListTasks].
parent (str):
Required. The queue name. For example:
``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID``
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.services.cloud_tasks.pagers.ListTasksPager:
Response message for listing tasks using
[ListTasks][google.cloud.tasks.v2.CloudTasks.ListTasks].
Iterating over this object will yield results and
resolve additional pages automatically.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.ListTasksRequest):
request = cloudtasks.ListTasksRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.list_tasks]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# This method is paged; wrap the response in a pager, which provides
# an `__iter__` convenience method.
response = pagers.ListTasksPager(
method=rpc,
request=request,
response=response,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_task(
self,
request: Optional[Union[cloudtasks.GetTaskRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> task.Task:
r"""Gets a task.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_get_task():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.GetTaskRequest(
name="name_value",
)
# Make the request
response = client.get_task(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.GetTaskRequest, dict]):
The request object. Request message for getting a task using
[GetTask][google.cloud.tasks.v2.CloudTasks.GetTask].
name (str):
Required. The task name. For example:
``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID``
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.types.Task:
A unit of scheduled work.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.GetTaskRequest):
request = cloudtasks.GetTaskRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.get_task]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def create_task(
self,
request: Optional[Union[cloudtasks.CreateTaskRequest, dict]] = None,
*,
parent: Optional[str] = None,
task: Optional[gct_task.Task] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> gct_task.Task:
r"""Creates a task and adds it to a queue.
Tasks cannot be updated after creation; there is no UpdateTask
command.
- The maximum task size is 100KB.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_create_task():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.CreateTaskRequest(
parent="parent_value",
)
# Make the request
response = client.create_task(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.CreateTaskRequest, dict]):
The request object. Request message for
[CreateTask][google.cloud.tasks.v2.CloudTasks.CreateTask].
parent (str):
Required. The queue name. For example:
``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID``
The queue must already exist.
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
task (google.cloud.tasks_v2.types.Task):
Required. The task to add.
Task names have the following format:
``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID``.
The user can optionally specify a task
[name][google.cloud.tasks.v2.Task.name]. If a name is
not specified then the system will generate a random
unique task id, which will be set in the task returned
in the [response][google.cloud.tasks.v2.Task.name].
If
[schedule_time][google.cloud.tasks.v2.Task.schedule_time]
is not set or is in the past then Cloud Tasks will set
it to the current time.
Task De-duplication:
Explicitly specifying a task ID enables task
de-duplication. If a task's ID is identical to that of
an existing task or a task that was deleted or executed
recently then the call will fail with
[ALREADY_EXISTS][google.rpc.Code.ALREADY_EXISTS]. If the
task's queue was created using Cloud Tasks, then another
task with the same name can't be created for ~1hour
after the original task was deleted or executed. If the
task's queue was created using queue.yaml or queue.xml,
then another task with the same name can't be created
for ~9days after the original task was deleted or
executed.
Because there is an extra lookup cost to identify
duplicate task names, these
[CreateTask][google.cloud.tasks.v2.CloudTasks.CreateTask]
calls have significantly increased latency. Using hashed
strings for the task id or for the prefix of the task id
is recommended. Choosing task ids that are sequential or
have sequential prefixes, for example using a timestamp,
causes an increase in latency and error rates in all
task commands. The infrastructure relies on an
approximately uniform distribution of task ids to store
and serve tasks efficiently.
This corresponds to the ``task`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.types.Task:
A unit of scheduled work.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent, task])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.CreateTaskRequest):
request = cloudtasks.CreateTaskRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if task is not None:
request.task = task
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_task]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def delete_task(
self,
request: Optional[Union[cloudtasks.DeleteTaskRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> None:
r"""Deletes a task.
A task can be deleted if it is scheduled or dispatched.
A task cannot be deleted if it has executed successfully
or permanently failed.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_delete_task():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.DeleteTaskRequest(
name="name_value",
)
# Make the request
client.delete_task(request=request)
Args:
request (Union[google.cloud.tasks_v2.types.DeleteTaskRequest, dict]):
The request object. Request message for deleting a task using
[DeleteTask][google.cloud.tasks.v2.CloudTasks.DeleteTask].
name (str):
Required. The task name. For example:
``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID``
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.DeleteTaskRequest):
request = cloudtasks.DeleteTaskRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.delete_task]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
[docs] def run_task(
self,
request: Optional[Union[cloudtasks.RunTaskRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> task.Task:
r"""Forces a task to run now.
When this method is called, Cloud Tasks will dispatch the task,
even if the task is already running, the queue has reached its
[RateLimits][google.cloud.tasks.v2.RateLimits] or is
[PAUSED][google.cloud.tasks.v2.Queue.State.PAUSED].
This command is meant to be used for manual debugging. For
example, [RunTask][google.cloud.tasks.v2.CloudTasks.RunTask] can
be used to retry a failed task after a fix has been made or to
manually force a task to be dispatched now.
The dispatched task is returned. That is, the task that is
returned contains the [status][Task.status] after the task is
dispatched but before the task is received by its target.
If Cloud Tasks receives a successful response from the task's
target, then the task will be deleted; otherwise the task's
[schedule_time][google.cloud.tasks.v2.Task.schedule_time] will
be reset to the time that
[RunTask][google.cloud.tasks.v2.CloudTasks.RunTask] was called
plus the retry delay specified in the queue's
[RetryConfig][google.cloud.tasks.v2.RetryConfig].
[RunTask][google.cloud.tasks.v2.CloudTasks.RunTask] returns
[NOT_FOUND][google.rpc.Code.NOT_FOUND] when it is called on a
task that has already succeeded or permanently failed.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
def sample_run_task():
# Create a client
client = tasks_v2.CloudTasksClient()
# Initialize request argument(s)
request = tasks_v2.RunTaskRequest(
name="name_value",
)
# Make the request
response = client.run_task(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.tasks_v2.types.RunTaskRequest, dict]):
The request object. Request message for forcing a task to run now using
[RunTask][google.cloud.tasks.v2.CloudTasks.RunTask].
name (str):
Required. The task name. For example:
``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID``
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.tasks_v2.types.Task:
A unit of scheduled work.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, cloudtasks.RunTaskRequest):
request = cloudtasks.RunTaskRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.run_task]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
def __enter__(self) -> "CloudTasksClient":
return self
[docs] def __exit__(self, type, value, traceback):
"""Releases underlying transport's resources.
.. warning::
ONLY use as a context manager if the transport is NOT shared
with other clients! Exiting the with block will CLOSE the transport
and may cause errors in other clients!
"""
self.transport.close()
[docs] def get_location(
self,
request: Optional[locations_pb2.GetLocationRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> locations_pb2.Location:
r"""Gets information about a location.
Args:
request (:class:`~.location_pb2.GetLocationRequest`):
The request object. Request message for
`GetLocation` method.
retry (google.api_core.retry.Retry): Designation of what errors,
if any, should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
~.location_pb2.Location:
Location object.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = locations_pb2.GetLocationRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.get_location]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def list_locations(
self,
request: Optional[locations_pb2.ListLocationsRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> locations_pb2.ListLocationsResponse:
r"""Lists information about the supported locations for this service.
Args:
request (:class:`~.location_pb2.ListLocationsRequest`):
The request object. Request message for
`ListLocations` method.
retry (google.api_core.retry.Retry): Designation of what errors,
if any, should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
~.location_pb2.ListLocationsResponse:
Response message for ``ListLocations`` method.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = locations_pb2.ListLocationsRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.list_locations]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
gapic_version=package_version.__version__
)
__all__ = ("CloudTasksClient",)
