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.



40178
40179
40180
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40178

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) 


40009
40010
40011
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40009

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) 


40015
40016
40017
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40015

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:



40021
40022
40023
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40021

def encryption_spec
  @encryption_spec
end

#end_time ⇒ String

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

Returns:

  • (String) 


40026
40027
40028
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40026

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:



40036
40037
40038
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40036

def error
  @error
end

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

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

Returns:



40041
40042
40043
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40041

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>) 


40052
40053
40054
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40052

def labels
  @labels
end

#name ⇒ String

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

Returns:

  • (String) 


40057
40058
40059
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40057

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) 


40071
40072
40073
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40071

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) 


40077
40078
40079
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40077

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>) 


40085
40086
40087
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40085

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:



40095
40096
40097
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40095

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) 


40100
40101
40102
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40100

def preflight_validations
  @preflight_validations
end

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

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

Returns:



40106
40107
40108
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40106

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>) 


40115
40116
40117
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40115

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:



40120
40121
40122
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40120

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) 


40125
40126
40127
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40125

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) 


40131
40132
40133
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40131

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) 


40138
40139
40140
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40138

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) 


40147
40148
40149
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40147

def 
  @service_account
end

#start_time ⇒ String

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

Returns:

  • (String) 


40152
40153
40154
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40152

def start_time
  @start_time
end

#state ⇒ String

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

Returns:

  • (String) 


40157
40158
40159
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40157

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:



40163
40164
40165
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40163

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) 


40171
40172
40173
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40171

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) 


40176
40177
40178
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40176

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



40183
40184
40185
40186
40187
40188
40189
40190
40191
40192
40193
40194
40195
40196
40197
40198
40199
40200
40201
40202
40203
40204
40205
40206
40207
40208
40209
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 40183

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