BatchServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.batch_v1alpha.services.batch_service.transports.base.BatchServiceTransport, typing.Callable[[...], google.cloud.batch_v1alpha.services.batch_service.transports.base.BatchServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = 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 | |
---|---|
Type | Description |
str |
The API endpoint used by the client instance. |
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
BatchServiceTransport |
The transport used by the client instance. |
universe_domain
Return the universe domain used by the client instance.
Returns | |
---|---|
Type | Description |
str |
The universe domain used by the client instance. |
Methods
BatchServiceAsyncClient
BatchServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.batch_v1alpha.services.batch_service.transports.base.BatchServiceTransport, typing.Callable[[...], google.cloud.batch_v1alpha.services.batch_service.transports.base.BatchServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the batch service async client.
Parameters | |
---|---|
Name | Description |
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,BatchServiceTransport,Callable[..., BatchServiceTransport]]]
The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the BatchServiceTransport 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 |
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 |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTlsChannelError |
If mutual TLS transport creation failed for any reason. |
cancel_operation
cancel_operation(
request: typing.Optional[
google.longrunning.operations_pb2.CancelOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
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_async.AsyncRetry,
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
async def sample_create_job():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# Initialize request argument(s)
request = batch_v1alpha.CreateJobRequest(
parent="parent_value",
)
# Make the request
response = await client.create_job(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.CreateJobRequest, dict]]
The request object. CreateJob Request. |
parent |
Required. The parent resource name where the Job will be created. Pattern: "projects/{project}/locations/{location}" This corresponds to the |
job |
Job
Required. The Job to create. This corresponds to the |
job_id |
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 |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.cloud.batch_v1alpha.types.Job |
The 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_async.AsyncRetry,
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
async def sample_create_resource_allowance():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# 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 = await client.create_resource_allowance(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.CreateResourceAllowanceRequest, dict]]
The request object. CreateResourceAllowance Request. |
parent |
Required. The parent resource name where the ResourceAllowance will be created. Pattern: "projects/{project}/locations/{location}" This corresponds to the |
resource_allowance |
ResourceAllowance
Required. The ResourceAllowance to create. This corresponds to the |
resource_allowance_id |
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 |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.cloud.batch_v1alpha.types.ResourceAllowance |
The 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_async.AsyncRetry,
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_async.AsyncOperation
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
async def sample_delete_job():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# Initialize request argument(s)
request = batch_v1alpha.DeleteJobRequest(
)
# Make the request
operation = client.delete_job(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.DeleteJobRequest, dict]]
The request object. DeleteJob Request. |
name |
Job name. This corresponds to the |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An 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_async.AsyncRetry,
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
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_async.AsyncRetry,
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_async.AsyncOperation
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
async def sample_delete_resource_allowance():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# 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 = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.DeleteResourceAllowanceRequest, dict]]
The request object. DeleteResourceAllowance Request. |
name |
Required. ResourceAllowance name. This corresponds to the |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An 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 | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
BatchServiceAsyncClient |
The 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 | |
---|---|
Name | Description |
info |
dict
The service account private key info. |
Returns | |
---|---|
Type | Description |
BatchServiceAsyncClient |
The 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 | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
BatchServiceAsyncClient |
The 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_async.AsyncRetry,
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
async def sample_get_job():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# Initialize request argument(s)
request = batch_v1alpha.GetJobRequest(
name="name_value",
)
# Make the request
response = await client.get_job(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.GetJobRequest, dict]]
The request object. GetJob Request. |
name |
Required. Job name. This corresponds to the |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.cloud.batch_v1alpha.types.Job |
The 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_async.AsyncRetry,
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
|
Location object. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: typing.Optional[
google.api_core.client_options.ClientOptions
] = None,
)
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 | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError |
If any errors happen. |
Returns | |
---|---|
Type | Description |
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_async.AsyncRetry,
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
|
An 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_async.AsyncRetry,
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
async def sample_get_resource_allowance():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# Initialize request argument(s)
request = batch_v1alpha.GetResourceAllowanceRequest(
name="name_value",
)
# Make the request
response = await client.get_resource_allowance(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.GetResourceAllowanceRequest, dict]]
The request object. GetResourceAllowance Request. |
name |
Required. ResourceAllowance name. This corresponds to the |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.cloud.batch_v1alpha.types.ResourceAllowance |
The 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_async.AsyncRetry,
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
async def sample_get_task():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# Initialize request argument(s)
request = batch_v1alpha.GetTaskRequest(
name="name_value",
)
# Make the request
response = await client.get_task(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.GetTaskRequest, dict]]
The request object. Request for a single Task by name. |
name |
Required. Task name. This corresponds to the |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.cloud.batch_v1alpha.types.Task |
A Cloud Batch task. |
get_transport_class
get_transport_class() -> (
typing.Type[
google.cloud.batch_v1alpha.services.batch_service.transports.base.BatchServiceTransport
]
)
Returns an appropriate transport class.
Parameter | |
---|---|
Name | Description |
label |
typing.Optional[str]
The name of the desired transport. If none is provided, then the first transport in the registry is used. |
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_async.AsyncRetry,
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.ListJobsAsyncPager
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
async def sample_list_jobs():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# Initialize request argument(s)
request = batch_v1alpha.ListJobsRequest(
)
# Make the request
page_result = client.list_jobs(request=request)
# Handle the response
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.ListJobsRequest, dict]]
The request object. ListJob Request. |
parent |
Parent path. This corresponds to the |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.cloud.batch_v1alpha.services.batch_service.pagers.ListJobsAsyncPager |
ListJob 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_async.AsyncRetry,
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
|
Response 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_async.AsyncRetry,
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
|
Response 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_async.AsyncRetry,
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.ListResourceAllowancesAsyncPager
)
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
async def sample_list_resource_allowances():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# 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
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.ListResourceAllowancesRequest, dict]]
The request object. ListResourceAllowances Request. |
parent |
Required. Parent path. This corresponds to the |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.cloud.batch_v1alpha.services.batch_service.pagers.ListResourceAllowancesAsyncPager |
ListResourceAllowances 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_async.AsyncRetry,
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.ListTasksAsyncPager
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
async def sample_list_tasks():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# Initialize request argument(s)
request = batch_v1alpha.ListTasksRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_tasks(request=request)
# Handle the response
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.ListTasksRequest, dict]]
The request object. ListTasks Request. |
parent |
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 |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.cloud.batch_v1alpha.services.batch_service.pagers.ListTasksAsyncPager |
ListTasks 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_async.AsyncRetry,
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
async def sample_update_resource_allowance():
# Create a client
client = batch_v1alpha.BatchServiceAsyncClient()
# 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 = await client.update_resource_allowance(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.batch_v1alpha.types.UpdateResourceAllowanceRequest, dict]]
The request object. UpdateResourceAllowance Request. |
resource_allowance |
ResourceAllowance
Required. The ResourceAllowance to update. Update description. Only fields specified in |
update_mask |
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 |
retry |
google.api_core.retry_async.AsyncRetry
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 | |
---|---|
Type | Description |
google.cloud.batch_v1alpha.types.ResourceAllowance |
The Resource Allowance description for Cloud Batch. Only one Resource Allowance is supported now under a specific location and project. |