Class BatchServiceClient (0.17.18)

BatchServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.batch_v1alpha.services.batch_service.transports.base.BatchServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Google Batch Service. The service manages user submitted batch jobs and allocates Google Compute Engine VM instances to run the jobs.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
TypeDescription
strThe API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
TypeDescription
BatchServiceTransportThe transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
TypeDescription
strThe universe domain used by the client instance.

Methods

BatchServiceClient

BatchServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.batch_v1alpha.services.batch_service.transports.base.BatchServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the batch service client.

Parameters
NameDescription
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 Union[str, BatchServiceTransport]

The transport to use. 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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
NameDescription
request .operations_pb2.CancelOperationRequest

The request object. Request message for CancelOperation 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.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_job

create_job(
    request: typing.Optional[
        typing.Union[google.cloud.batch_v1alpha.types.batch.CreateJobRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    job: typing.Optional[google.cloud.batch_v1alpha.types.job.Job] = None,
    job_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.batch_v1alpha.types.job.Job

Create a Job.

# 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 batch_v1alpha

def sample_create_job():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    request = batch_v1alpha.CreateJobRequest(
        parent="parent_value",
    )

    # Make the request
    response = client.create_job(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.CreateJobRequest, dict]

The request object. CreateJob Request.

parent str

Required. The parent resource name where the Job will be created. Pattern: "projects/{project}/locations/{location}" This corresponds to the parent field on the request instance; if request is provided, this should not be set.

job google.cloud.batch_v1alpha.types.Job

Required. The Job to create. This corresponds to the job field on the request instance; if request is provided, this should not be set.

job_id str

ID used to uniquely identify the Job within its parent scope. This field should contain at most 63 characters and must start with lowercase characters. Only lowercase characters, numbers and '-' are accepted. The '-' character cannot be the first or the last one. A system generated ID will be used if the field is not set. The job.name field in the request will be ignored and the created resource name of the Job will be "{parent}/jobs/{job_id}". This corresponds to the job_id 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
TypeDescription
google.cloud.batch_v1alpha.types.JobThe Cloud Batch Job description.

create_resource_allowance

create_resource_allowance(
    request: typing.Optional[
        typing.Union[
            google.cloud.batch_v1alpha.types.batch.CreateResourceAllowanceRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    resource_allowance: typing.Optional[
        google.cloud.batch_v1alpha.types.resource_allowance.ResourceAllowance
    ] = None,
    resource_allowance_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.batch_v1alpha.types.resource_allowance.ResourceAllowance

Create a Resource Allowance.

# 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 batch_v1alpha

def sample_create_resource_allowance():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    resource_allowance = batch_v1alpha.ResourceAllowance()
    resource_allowance.usage_resource_allowance.spec.type_ = "type__value"
    resource_allowance.usage_resource_allowance.spec.limit.calendar_period = "DAY"

    request = batch_v1alpha.CreateResourceAllowanceRequest(
        parent="parent_value",
        resource_allowance=resource_allowance,
    )

    # Make the request
    response = client.create_resource_allowance(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.CreateResourceAllowanceRequest, dict]

The request object. CreateResourceAllowance Request.

parent str

Required. The parent resource name where the ResourceAllowance will be created. Pattern: "projects/{project}/locations/{location}" This corresponds to the parent field on the request instance; if request is provided, this should not be set.

resource_allowance google.cloud.batch_v1alpha.types.ResourceAllowance

Required. The ResourceAllowance to create. This corresponds to the resource_allowance field on the request instance; if request is provided, this should not be set.

resource_allowance_id str

ID used to uniquely identify the ResourceAllowance within its parent scope. This field should contain at most 63 characters and must start with lowercase characters. Only lowercase characters, numbers and '-' are accepted. The '-' character cannot be the first or the last one. A system generated ID will be used if the field is not set. The resource_allowance.name field in the request will be ignored and the created resource name of the ResourceAllowance will be "{parent}/resourceAllowances/{resource_allowance_id}". This corresponds to the resource_allowance_id 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
TypeDescription
google.cloud.batch_v1alpha.types.ResourceAllowanceThe Resource Allowance description for Cloud Batch. Only one Resource Allowance is supported now under a specific location and project.

delete_job

delete_job(
    request: typing.Optional[
        typing.Union[google.cloud.batch_v1alpha.types.batch.DeleteJobRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Delete a Job.

# 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 batch_v1alpha

def sample_delete_job():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    request = batch_v1alpha.DeleteJobRequest(
    )

    # Make the request
    operation = client.delete_job(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.DeleteJobRequest, dict]

The request object. DeleteJob Request.

name str

Job name. 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
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
NameDescription
request .operations_pb2.DeleteOperationRequest

The request object. Request message for DeleteOperation 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.

delete_resource_allowance

delete_resource_allowance(
    request: typing.Optional[
        typing.Union[
            google.cloud.batch_v1alpha.types.batch.DeleteResourceAllowanceRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Delete a ResourceAllowance.

# 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 batch_v1alpha

def sample_delete_resource_allowance():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    request = batch_v1alpha.DeleteResourceAllowanceRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_resource_allowance(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.DeleteResourceAllowanceRequest, dict]

The request object. DeleteResourceAllowance Request.

name str

Required. ResourceAllowance name. 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
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
BatchServiceClientThe constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
BatchServiceClientThe constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
BatchServiceClientThe constructed client.

get_job

get_job(
    request: typing.Optional[
        typing.Union[google.cloud.batch_v1alpha.types.batch.GetJobRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.batch_v1alpha.types.job.Job

Get a Job specified by its resource name.

# 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 batch_v1alpha

def sample_get_job():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    request = batch_v1alpha.GetJobRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_job(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.GetJobRequest, dict]

The request object. GetJob Request.

name str

Required. Job name. 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
TypeDescription
google.cloud.batch_v1alpha.types.JobThe Cloud Batch Job description.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
NameDescription
request .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
TypeDescription
.location_pb2.LocationLocation object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.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.

Parameter
NameDescription
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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
NameDescription
request .operations_pb2.GetOperationRequest

The request object. Request message for GetOperation 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
TypeDescription
.operations_pb2.OperationAn Operation object.

get_resource_allowance

get_resource_allowance(
    request: typing.Optional[
        typing.Union[
            google.cloud.batch_v1alpha.types.batch.GetResourceAllowanceRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.batch_v1alpha.types.resource_allowance.ResourceAllowance

Get a ResourceAllowance specified by its resource name.

# 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 batch_v1alpha

def sample_get_resource_allowance():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    request = batch_v1alpha.GetResourceAllowanceRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_resource_allowance(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.GetResourceAllowanceRequest, dict]

The request object. GetResourceAllowance Request.

name str

Required. ResourceAllowance name. 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
TypeDescription
google.cloud.batch_v1alpha.types.ResourceAllowanceThe Resource Allowance description for Cloud Batch. Only one Resource Allowance is supported now under a specific location and project.

get_task

get_task(
    request: typing.Optional[
        typing.Union[google.cloud.batch_v1alpha.types.batch.GetTaskRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.batch_v1alpha.types.task.Task

Return a single Task.

# 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 batch_v1alpha

def sample_get_task():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    request = batch_v1alpha.GetTaskRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_task(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.GetTaskRequest, dict]

The request object. Request for a single Task by name.

name str

Required. Task name. 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
TypeDescription
google.cloud.batch_v1alpha.types.TaskA Cloud Batch task.

job_path

job_path(project: str, location: str, job: str) -> str

Returns a fully-qualified job string.

list_jobs

list_jobs(
    request: typing.Optional[
        typing.Union[google.cloud.batch_v1alpha.types.batch.ListJobsRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.batch_v1alpha.services.batch_service.pagers.ListJobsPager

List all Jobs for a project within a region.

# 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 batch_v1alpha

def sample_list_jobs():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    request = batch_v1alpha.ListJobsRequest(
    )

    # Make the request
    page_result = client.list_jobs(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.ListJobsRequest, dict]

The request object. ListJob Request.

parent str

Parent path. 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
TypeDescription
google.cloud.batch_v1alpha.services.batch_service.pagers.ListJobsPagerListJob Response. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
NameDescription
request .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
TypeDescription
.location_pb2.ListLocationsResponseResponse message for ListLocations method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
NameDescription
request .operations_pb2.ListOperationsRequest

The request object. Request message for ListOperations 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
TypeDescription
.operations_pb2.ListOperationsResponseResponse message for ListOperations method.

list_resource_allowances

list_resource_allowances(
    request: typing.Optional[
        typing.Union[
            google.cloud.batch_v1alpha.types.batch.ListResourceAllowancesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.batch_v1alpha.services.batch_service.pagers.ListResourceAllowancesPager
)

List all ResourceAllowances for a project within a region.

# 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 batch_v1alpha

def sample_list_resource_allowances():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    request = batch_v1alpha.ListResourceAllowancesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_resource_allowances(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.ListResourceAllowancesRequest, dict]

The request object. ListResourceAllowances Request.

parent str

Required. Parent path. 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
TypeDescription
google.cloud.batch_v1alpha.services.batch_service.pagers.ListResourceAllowancesPagerListResourceAllowances Response. Iterating over this object will yield results and resolve additional pages automatically.

list_tasks

list_tasks(
    request: typing.Optional[
        typing.Union[google.cloud.batch_v1alpha.types.batch.ListTasksRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.batch_v1alpha.services.batch_service.pagers.ListTasksPager

List Tasks associated with a job.

# 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 batch_v1alpha

def sample_list_tasks():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    request = batch_v1alpha.ListTasksRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_tasks(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.ListTasksRequest, dict]

The request object. ListTasks Request.

parent str

Required. Name of a TaskGroup from which Tasks are being requested. Pattern: "projects/{project}/locations/{location}/jobs/{job}/taskGroups/{task_group}" 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
TypeDescription
google.cloud.batch_v1alpha.services.batch_service.pagers.ListTasksPagerListTasks Response. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_job_path

parse_job_path(path: str) -> typing.Dict[str, str]

Parses a job path into its component segments.

parse_resource_allowance_path

parse_resource_allowance_path(path: str) -> typing.Dict[str, str]

Parses a resource_allowance path into its component segments.

parse_task_group_path

parse_task_group_path(path: str) -> typing.Dict[str, str]

Parses a task_group path into its component segments.

parse_task_path

parse_task_path(path: str) -> typing.Dict[str, str]

Parses a task path into its component segments.

resource_allowance_path

resource_allowance_path(
    project: str, location: str, resource_allowance: str
) -> str

Returns a fully-qualified resource_allowance string.

task_group_path

task_group_path(project: str, location: str, job: str, task_group: str) -> str

Returns a fully-qualified task_group string.

task_path

task_path(project: str, location: str, job: str, task_group: str, task: str) -> str

Returns a fully-qualified task string.

update_resource_allowance

update_resource_allowance(
    request: typing.Optional[
        typing.Union[
            google.cloud.batch_v1alpha.types.batch.UpdateResourceAllowanceRequest, dict
        ]
    ] = None,
    *,
    resource_allowance: typing.Optional[
        google.cloud.batch_v1alpha.types.resource_allowance.ResourceAllowance
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.batch_v1alpha.types.resource_allowance.ResourceAllowance

Update a Resource Allowance.

# 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 batch_v1alpha

def sample_update_resource_allowance():
    # Create a client
    client = batch_v1alpha.BatchServiceClient()

    # Initialize request argument(s)
    resource_allowance = batch_v1alpha.ResourceAllowance()
    resource_allowance.usage_resource_allowance.spec.type_ = "type__value"
    resource_allowance.usage_resource_allowance.spec.limit.calendar_period = "DAY"

    request = batch_v1alpha.UpdateResourceAllowanceRequest(
        resource_allowance=resource_allowance,
    )

    # Make the request
    response = client.update_resource_allowance(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.batch_v1alpha.types.UpdateResourceAllowanceRequest, dict]

The request object. UpdateResourceAllowance Request.

resource_allowance google.cloud.batch_v1alpha.types.ResourceAllowance

Required. The ResourceAllowance to update. Update description. Only fields specified in update_mask are updated. This corresponds to the resource_allowance field on the request instance; if request is provided, this should not be set.

update_mask google.protobuf.field_mask_pb2.FieldMask

Required. Mask of fields to update. Field mask is used to specify the fields to be overwritten in the ResourceAllowance resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten. UpdateResourceAllowance request now only supports update on limit field. 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
TypeDescription
google.cloud.batch_v1alpha.types.ResourceAllowanceThe Resource Allowance description for Cloud Batch. Only one Resource Allowance is supported now under a specific location and project.