Class CloudSchedulerClient (2.0.0)

CloudSchedulerClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.scheduler_v1.services.cloud_scheduler.transports.base.CloudSchedulerTransport] = None, client_options: <module 'google.api_core.client_options' from '/workspace/python-scheduler/.nox/docfx/lib/python3.9/site-packages/google/api_core/client_options.py'> = None)

The Cloud Scheduler API allows external entities to reliably schedule asynchronous jobs.

Methods

CloudSchedulerClient

CloudSchedulerClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.scheduler_v1.services.cloud_scheduler.transports.base.CloudSchedulerTransport] = None, client_options: <module 'google.api_core.client_options' from '/workspace/python-scheduler/.nox/docfx/lib/python3.9/site-packages/google/api_core/client_options.py'> = None)

Instantiate the cloud scheduler 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`	`Union[str, .CloudSchedulerTransport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint, this is the default value for the environment variable) and "auto" (auto switch to the default mTLS endpoint if client SSL credentials is present). However, the `api_endpoint` property takes precedence if provided. (2) The `client_cert_source` property is used to provide client SSL credentials for mutual TLS transport. If not provided, the default SSL credentials will be used if present.

Exceptions

Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If mutual TLS transport creation failed for any reason.

create_job

create_job(request: Optional[google.cloud.scheduler_v1.types.cloudscheduler.CreateJobRequest] = None, *, parent: Optional[str] = None, job: Optional[google.cloud.scheduler_v1.types.job.Job] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a job.

Parameters

Name	Description
`request`	`.cloudscheduler.CreateJobRequest` The request object. Request message for CreateJob.
`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.
`job`	`.gcs_job.Job` Required. The job to add. The user can optionally specify a name for the job in name. name cannot be the same as an existing job. If a name is not specified then the system will generate a random unique name that will be returned (name) in the response. This corresponds to the `job` 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

Type	Description
`.gcs_job.Job`	Configuration for a job. The maximum allowed size for a job is 100KB.

delete_job

delete_job(request: Optional[google.cloud.scheduler_v1.types.cloudscheduler.DeleteJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a job.

Parameters

Name	Description
`request`	`.cloudscheduler.DeleteJobRequest` The request object. Request message for deleting a job using DeleteJob.
`name`	`str` Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_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.

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
`{@api.name}`	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
`{@api.name}`	The constructed client.

get_job

get_job(request: Optional[google.cloud.scheduler_v1.types.cloudscheduler.GetJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets a job.

Parameters

Name	Description
`request`	`.cloudscheduler.GetJobRequest` The request object. Request message for GetJob.
`name`	`str` Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_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

Type	Description
`.job.Job`	Configuration for a job. The maximum allowed size for a job is 100KB.

job_path

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

Return a fully-qualified job string.

list_jobs

list_jobs(request: Optional[google.cloud.scheduler_v1.types.cloudscheduler.ListJobsRequest] = None, *, parent: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists jobs.

Parameters

Name	Description
`request`	`.cloudscheduler.ListJobsRequest` The request object. Request message for listing jobs using ListJobs.
`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

Type	Description
`.pagers.ListJobsPager`	Response message for listing jobs using ListJobs. Iterating over this object will yield results and resolve additional pages automatically.

parse_job_path

parse_job_path(path: str)

Parse a job path into its component segments.

pause_job

pause_job(request: Optional[google.cloud.scheduler_v1.types.cloudscheduler.PauseJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Pauses a job.

If a job is paused then the system will stop executing the job until it is re-enabled via xref_ResumeJob. The state of the job is stored in xref_state; if paused it will be set to xref_Job.State.PAUSED. A job must be in xref_Job.State.ENABLED to be paused.

Parameters

Name	Description
`request`	`.cloudscheduler.PauseJobRequest` The request object. Request message for PauseJob.
`name`	`str` Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_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

Type	Description
`.job.Job`	Configuration for a job. The maximum allowed size for a job is 100KB.

resume_job

resume_job(request: Optional[google.cloud.scheduler_v1.types.cloudscheduler.ResumeJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Resume a job.

This method reenables a job after it has been xref_Job.State.PAUSED. The state of a job is stored in xref_Job.state; after calling this method it will be set to xref_Job.State.ENABLED. A job must be in xref_Job.State.PAUSED to be resumed.

Parameters

Name	Description
`request`	`.cloudscheduler.ResumeJobRequest` The request object. Request message for ResumeJob.
`name`	`str` Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_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

Type	Description
`.job.Job`	Configuration for a job. The maximum allowed size for a job is 100KB.

run_job

run_job(request: Optional[google.cloud.scheduler_v1.types.cloudscheduler.RunJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Forces a job to run now. When this method is called, Cloud Scheduler will dispatch the job, even if the job is already running.

Parameters

Name	Description
`request`	`.cloudscheduler.RunJobRequest` The request object. Request message for forcing a job to run now using RunJob.
`name`	`str` Required. The job name. For example: `projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_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

Type	Description
`.job.Job`	Configuration for a job. The maximum allowed size for a job is 100KB.

update_job

update_job(request: Optional[google.cloud.scheduler_v1.types.cloudscheduler.UpdateJobRequest] = None, *, job: Optional[google.cloud.scheduler_v1.types.job.Job] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates a job.

If successful, the updated xref_Job is returned. If the job does not exist, NOT_FOUND is returned.

If UpdateJob does not successfully return, it is possible for the job to be in an xref_Job.State.UPDATE_FAILED state. A job in this state may not be executed. If this happens, retry the UpdateJob request until a successful response is received.

Parameters

Name	Description
`request`	`.cloudscheduler.UpdateJobRequest` The request object. Request message for UpdateJob.
`job`	`.gcs_job.Job` Required. The new job properties. name must be specified. Output only fields cannot be modified using UpdateJob. Any value specified for an output only field will be ignored. This corresponds to the `job` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`.field_mask.FieldMask` A mask used to specify which fields of the job are being 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

Type	Description
`.gcs_job.Job`	Configuration for a job. The maximum allowed size for a job is 100KB.