Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

An instance of a machine learning PipelineJob.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1PipelineJob

Returns a new instance of GoogleCloudAiplatformV1beta1PipelineJob.



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 42030

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#create_time ⇒ String

Output only. Pipeline creation time. Corresponds to the JSON property createTime

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41861

def create_time
  @create_time
end

#display_name ⇒ String

The display name of the Pipeline. The name can be up to 128 characters long and can consist of any UTF-8 characters. Corresponds to the JSON property displayName

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41867

def display_name
  @display_name
end

#encryption_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EncryptionSpec

Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. Corresponds to the JSON property encryptionSpec

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41873

def encryption_spec
  @encryption_spec
end

#end_time ⇒ String

Output only. Pipeline end time. Corresponds to the JSON property endTime

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41878

def end_time
  @end_time
end

#error ⇒ Google::Apis::AiplatformV1beta1::GoogleRpcStatus

The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide. Corresponds to the JSON property error

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41888

def error
  @error
end

#job_detail ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJobDetail

The runtime detail of PipelineJob. Corresponds to the JSON property jobDetail

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41893

def job_detail
  @job_detail
end

#labels ⇒ Hash<String,String>

The labels with user-defined metadata to organize PipelineJob. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. Note there is some reserved label key for Vertex AI Pipelines. - vertex-ai-pipelines-run-billing-id, user set value will get overrided. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41904

def labels
  @labels
end

#name ⇒ String

Output only. The resource name of the PipelineJob. Corresponds to the JSON property name

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41909

def name
  @name
end

#network ⇒ String

The full name of the Compute Engine network to which the Pipeline Job's workload should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/project/global/ networks/network`. Whereprojectis a project number, as in12345, and networkis a network name. Private services access must already be configured for the network. Pipeline job will apply the network configuration to the Google Cloud resources being launched, if applied, such as Vertex AI Training or Dataflow job. If left unspecified, the workload is not peered with any network. Corresponds to the JSON propertynetwork`

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41923

def network
  @network
end

#original_pipeline_job_id ⇒ Fixnum

Optional. The original pipeline job id if this pipeline job is a rerun of a previous pipeline job. Corresponds to the JSON property originalPipelineJobId

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41929

def original_pipeline_job_id
  @original_pipeline_job_id
end

#pipeline_spec ⇒ Hash<String,Object>

A compiled definition of a pipeline, represented as a JSON object. Defines the structure of the pipeline, including its components, tasks, and parameters. This specification is generated by compiling a pipeline function defined in Python using the Kubeflow Pipelines SDK. Corresponds to the JSON property pipelineSpec

Returns:

  • (Hash<String,Object>) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41937

def pipeline_spec
  @pipeline_spec
end

#pipeline_task_rerun_configs ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineTaskRerunConfig>

Optional. The rerun configs for each task in the pipeline job. By default, the rerun will: 1. Use the same input artifacts as the original run. 2. Use the same input parameters as the original run. 3. Skip all the tasks that are already succeeded in the original run. 4. Rerun all the tasks that are not succeeded in the original run. By providing this field, users can override the default behavior and specify the rerun config for each task. Corresponds to the JSON property pipelineTaskRerunConfigs

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41947

def pipeline_task_rerun_configs
  @pipeline_task_rerun_configs
end

#preflight_validations ⇒ Boolean Also known as: preflight_validations?

Optional. Whether to do component level validations before job creation. Corresponds to the JSON property preflightValidations

Returns:

  • (Boolean) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41952

def preflight_validations
  @preflight_validations
end

#psc_interface_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PscInterfaceConfig

Configuration for PSC-I. Corresponds to the JSON property pscInterfaceConfig

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41958

def psc_interface_config
  @psc_interface_config
end

#reserved_ip_ranges ⇒ Array<String>

A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job' s workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range' ]. Corresponds to the JSON property reservedIpRanges

Returns:

  • (Array<String>) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41967

def reserved_ip_ranges
  @reserved_ip_ranges
end

#runtime_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJobRuntimeConfig

The runtime config of a PipelineJob. Corresponds to the JSON property runtimeConfig

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41972

def runtime_config
  @runtime_config
end

#satisfies_pzi ⇒ Boolean Also known as: satisfies_pzi?

Output only. Reserved for future use. Corresponds to the JSON property satisfiesPzi

Returns:

  • (Boolean) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41977

def satisfies_pzi
  @satisfies_pzi
end

#satisfies_pzs ⇒ Boolean Also known as: satisfies_pzs?

Output only. Reserved for future use. Corresponds to the JSON property satisfiesPzs

Returns:

  • (Boolean) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41983

def satisfies_pzs
  @satisfies_pzs
end

#schedule_name ⇒ String

Output only. The schedule resource name. Only returned if the Pipeline is created by Schedule API. Corresponds to the JSON property scheduleName

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41990

def schedule_name
  @schedule_name
end

#service_account ⇒ String

The service account that the pipeline workload runs as. If not specified, the Compute Engine default service account in the project will be used. See https:/ /cloud.google.com/compute/docs/access/service-accounts#default_service_account Users starting the pipeline must have the iam.serviceAccounts.actAs permission on this service account. Corresponds to the JSON property serviceAccount

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41999

def 
  @service_account
end

#start_time ⇒ String

Output only. Pipeline start time. Corresponds to the JSON property startTime

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 42004

def start_time
  @start_time
end

#state ⇒ String

Output only. The detailed state of the job. Corresponds to the JSON property state

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 42009

def state
  @state
end

#template_metadata ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineTemplateMetadata

Pipeline template metadata if PipelineJob.template_uri is from supported template registry. Currently, the only supported registry is Artifact Registry. Corresponds to the JSON property templateMetadata

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 42015

def template_metadata
  @template_metadata
end

#template_uri ⇒ String

A template uri from where the PipelineJob.pipeline_spec, if empty, will be downloaded. Currently, only uri from Vertex Template Registry & Gallery is supported. Reference to https://cloud.google.com/vertex-ai/docs/pipelines/ create-pipeline-template. Corresponds to the JSON property templateUri

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 42023

def template_uri
  @template_uri
end

#update_time ⇒ String

Output only. Timestamp when this PipelineJob was most recently updated. Corresponds to the JSON property updateTime

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 42028

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 42035

def update!(**args)
  @create_time = args[:create_time] if args.key?(:create_time)
  @display_name = args[:display_name] if args.key?(:display_name)
  @encryption_spec = args[:encryption_spec] if args.key?(:encryption_spec)
  @end_time = args[:end_time] if args.key?(:end_time)
  @error = args[:error] if args.key?(:error)
  @job_detail = args[:job_detail] if args.key?(:job_detail)
  @labels = args[:labels] if args.key?(:labels)
  @name = args[:name] if args.key?(:name)
  @network = args[:network] if args.key?(:network)
  @original_pipeline_job_id = args[:original_pipeline_job_id] if args.key?(:original_pipeline_job_id)
  @pipeline_spec = args[:pipeline_spec] if args.key?(:pipeline_spec)
  @pipeline_task_rerun_configs = args[:pipeline_task_rerun_configs] if args.key?(:pipeline_task_rerun_configs)
  @preflight_validations = args[:preflight_validations] if args.key?(:preflight_validations)
  @psc_interface_config = args[:psc_interface_config] if args.key?(:psc_interface_config)
  @reserved_ip_ranges = args[:reserved_ip_ranges] if args.key?(:reserved_ip_ranges)
  @runtime_config = args[:runtime_config] if args.key?(:runtime_config)
  @satisfies_pzi = args[:satisfies_pzi] if args.key?(:satisfies_pzi)
  @satisfies_pzs = args[:satisfies_pzs] if args.key?(:satisfies_pzs)
  @schedule_name = args[:schedule_name] if args.key?(:schedule_name)
  @service_account = args[:service_account] if args.key?(:service_account)
  @start_time = args[:start_time] if args.key?(:start_time)
  @state = args[:state] if args.key?(:state)
  @template_metadata = args[:template_metadata] if args.key?(:template_metadata)
  @template_uri = args[:template_uri] if args.key?(:template_uri)
  @update_time = args[:update_time] if args.key?(:update_time)
end