Class: Google::Cloud::AIPlatform::V1::PipelineService::Client

Inherits:
Object
  • Object
show all
Includes:
Paths
Defined in:
lib/google/cloud/ai_platform/v1/pipeline_service/client.rb

Overview

Client for the PipelineService service.

A service for creating and managing Vertex AI's pipelines. This includes both TrainingPipeline resources (used for AutoML and custom training) and PipelineJob resources (used for Vertex AI Pipelines).

Defined Under Namespace

Classes: Configuration

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from Paths

#artifact_path, #context_path, #custom_job_path, #endpoint_path, #execution_path, #location_path, #model_path, #network_path, #pipeline_job_path, #training_pipeline_path

Constructor Details

#initialize {|config| ... } ⇒ Client

Create a new PipelineService client object.

Examples:


# Create a client using the default configuration
client = ::Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a client using a custom configuration
client = ::Google::Cloud::AIPlatform::V1::PipelineService::Client.new do |config|
  config.timeout = 10.0
end

Yields:

  • (config) —

    Configure the PipelineService client.

Yield Parameters:



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 113

def initialize
  # These require statements are intentionally placed here to initialize
  # the gRPC module only when it's required.
  # See https://github.com/googleapis/toolkit/issues/446
  require "gapic/grpc"
  require "google/cloud/aiplatform/v1/pipeline_service_services_pb"

  # Create the configuration object
  @config = Configuration.new Client.configure

  # Yield the configuration if needed
  yield @config if block_given?

  # Create credentials
  credentials = @config.credentials
  # Use self-signed JWT if the endpoint is unchanged from default,
  # but only if the default endpoint does not have a region prefix.
  enable_self_signed_jwt = @config.endpoint == Client.configure.endpoint &&
                           !@config.endpoint.split(".").first.include?("-")
  credentials ||= Credentials.default scope: @config.scope,
                                      enable_self_signed_jwt: enable_self_signed_jwt
  if credentials.is_a?(::String) || credentials.is_a?(::Hash)
    credentials = Credentials.new credentials, scope: @config.scope
  end
  @quota_project_id = @config.quota_project
  @quota_project_id ||= credentials.quota_project_id if credentials.respond_to? :quota_project_id

  @operations_client = Operations.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @config.endpoint
  end

  @location_client = Google::Cloud::Location::Locations::Client.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @config.endpoint
  end

  @iam_policy_client = Google::Iam::V1::IAMPolicy::Client.new do |config|
    config.credentials = credentials
    config.quota_project = @quota_project_id
    config.endpoint = @config.endpoint
  end

  @pipeline_service_stub = ::Gapic::ServiceStub.new(
    ::Google::Cloud::AIPlatform::V1::PipelineService::Stub,
    credentials:  credentials,
    endpoint:     @config.endpoint,
    channel_args: @config.channel_args,
    interceptors: @config.interceptors
  )
end

Instance Attribute Details

#iam_policy_client ⇒ Google::Iam::V1::IAMPolicy::Client (readonly)

Get the associated client for mix-in of the IAMPolicy.

Returns:

  • (Google::Iam::V1::IAMPolicy::Client) 


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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 186

def iam_policy_client
  @iam_policy_client
end

#location_client ⇒ Google::Cloud::Location::Locations::Client (readonly)

Get the associated client for mix-in of the Locations.

Returns:

  • (Google::Cloud::Location::Locations::Client) 


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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 179

def location_client
  @location_client
end

#operations_client ⇒ ::Google::Cloud::AIPlatform::V1::PipelineService::Operations (readonly)

Get the associated client for long-running operations.

Returns:



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 172

def operations_client
  @operations_client
end

Class Method Details

.configure {|config| ... } ⇒ Client::Configuration

Configure the PipelineService Client class.

See Configuration for a description of the configuration fields.

Examples:


# Modify the configuration for all PipelineService clients
::Google::Cloud::AIPlatform::V1::PipelineService::Client.configure do |config|
  config.timeout = 10.0
end

Yields:

  • (config) —

    Configure the Client client.

Yield Parameters:

Returns:



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 60

def self.configure
  @configure ||= begin
    namespace = ["Google", "Cloud", "AIPlatform", "V1"]
    parent_config = while namespace.any?
                      parent_name = namespace.join "::"
                      parent_const = const_get parent_name
                      break parent_const.configure if parent_const.respond_to? :configure
                      namespace.pop
                    end
    default_config = Client::Configuration.new parent_config

    default_config
  end
  yield @configure if block_given?
  @configure
end

Instance Method Details

#cancel_pipeline_job(request, options = nil) ⇒ ::Google::Protobuf::Empty #cancel_pipeline_job(name: nil) ⇒ ::Google::Protobuf::Empty

Cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use PipelineService.GetPipelineJob or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the PipelineJob is not deleted; instead it becomes a pipeline with a PipelineJob.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and PipelineJob.state is set to CANCELLED.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::CancelPipelineJobRequest.new

# Call the cancel_pipeline_job method.
result = client.cancel_pipeline_job request

# The returned object is of type Google::Protobuf::Empty.
p result

Overloads:

  • #cancel_pipeline_job(request, options = nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_pipeline_job via a request object, either of type CancelPipelineJobRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CancelPipelineJobRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #cancel_pipeline_job(name: nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_pipeline_job via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The name of the PipelineJob to cancel. Format: projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 1163

def cancel_pipeline_job request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CancelPipelineJobRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.cancel_pipeline_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.cancel_pipeline_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.cancel_pipeline_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :cancel_pipeline_job, request, options: options do |response, operation|
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#cancel_training_pipeline(request, options = nil) ⇒ ::Google::Protobuf::Empty #cancel_training_pipeline(name: nil) ⇒ ::Google::Protobuf::Empty

Cancels a TrainingPipeline. Starts asynchronous cancellation on the TrainingPipeline. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use PipelineService.GetTrainingPipeline or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the TrainingPipeline is not deleted; instead it becomes a pipeline with a TrainingPipeline.error value with a google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and TrainingPipeline.state is set to CANCELLED.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::CancelTrainingPipelineRequest.new

# Call the cancel_training_pipeline method.
result = client.cancel_training_pipeline request

# The returned object is of type Google::Protobuf::Empty.
p result

Overloads:

  • #cancel_training_pipeline(request, options = nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_training_pipeline via a request object, either of type CancelTrainingPipelineRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CancelTrainingPipelineRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #cancel_training_pipeline(name: nil) ⇒ ::Google::Protobuf::Empty

    Pass arguments to cancel_training_pipeline via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The name of the TrainingPipeline to cancel. Format: projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 639

def cancel_training_pipeline request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CancelTrainingPipelineRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.cancel_training_pipeline.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.cancel_training_pipeline.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.cancel_training_pipeline.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :cancel_training_pipeline, request, options: options do |response, operation|
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#configure {|config| ... } ⇒ Client::Configuration

Configure the PipelineService Client instance.

The configuration is set to the derived mode, meaning that values can be changed, but structural changes (adding new fields, etc.) are not allowed. Structural changes should be made on configure.

See Configuration for a description of the configuration fields.

Yields:

  • (config) —

    Configure the Client client.

Yield Parameters:

Returns:



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 92

def configure
  yield @config if block_given?
  @config
end

#create_pipeline_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::PipelineJob #create_pipeline_job(parent: nil, pipeline_job: nil, pipeline_job_id: nil) ⇒ ::Google::Cloud::AIPlatform::V1::PipelineJob

Creates a PipelineJob. A PipelineJob will run immediately when created.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::CreatePipelineJobRequest.new

# Call the create_pipeline_job method.
result = client.create_pipeline_job request

# The returned object is of type Google::Cloud::AIPlatform::V1::PipelineJob.
p result

Overloads:

  • #create_pipeline_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::PipelineJob

    Pass arguments to create_pipeline_job via a request object, either of type CreatePipelineJobRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CreatePipelineJobRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #create_pipeline_job(parent: nil, pipeline_job: nil, pipeline_job_id: nil) ⇒ ::Google::Cloud::AIPlatform::V1::PipelineJob

    Pass arguments to create_pipeline_job via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. The resource name of the Location to create the PipelineJob in. Format: projects/{project}/locations/{location}

    • pipeline_job (::Google::Cloud::AIPlatform::V1::PipelineJob, ::Hash) (defaults to: nil) —

      Required. The PipelineJob to create.

    • pipeline_job_id (::String) (defaults to: nil) —

      The ID to use for the PipelineJob, which will become the final component of the PipelineJob name. If not provided, an ID will be automatically generated.

      This value should be less than 128 characters, and valid characters are /[a-z][0-9]-/.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 734

def create_pipeline_job request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreatePipelineJobRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.create_pipeline_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.create_pipeline_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.create_pipeline_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :create_pipeline_job, request, options: options do |response, operation|
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#create_training_pipeline(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TrainingPipeline #create_training_pipeline(parent: nil, training_pipeline: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TrainingPipeline

Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::CreateTrainingPipelineRequest.new

# Call the create_training_pipeline method.
result = client.create_training_pipeline request

# The returned object is of type Google::Cloud::AIPlatform::V1::TrainingPipeline.
p result

Overloads:

  • #create_training_pipeline(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TrainingPipeline

    Pass arguments to create_training_pipeline via a request object, either of type CreateTrainingPipelineRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::CreateTrainingPipelineRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #create_training_pipeline(parent: nil, training_pipeline: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TrainingPipeline

    Pass arguments to create_training_pipeline via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. The resource name of the Location to create the TrainingPipeline in. Format: projects/{project}/locations/{location}

    • training_pipeline (::Google::Cloud::AIPlatform::V1::TrainingPipeline, ::Hash) (defaults to: nil) —

      Required. The TrainingPipeline to create.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 238

def create_training_pipeline request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateTrainingPipelineRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.create_training_pipeline.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.create_training_pipeline.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.create_training_pipeline.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :create_training_pipeline, request, options: options do |response, operation|
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#delete_pipeline_job(request, options = nil) ⇒ ::Gapic::Operation #delete_pipeline_job(name: nil) ⇒ ::Gapic::Operation

Deletes a PipelineJob.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::DeletePipelineJobRequest.new

# Call the delete_pipeline_job method.
result = client.delete_pipeline_job request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

Overloads:

  • #delete_pipeline_job(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_pipeline_job via a request object, either of type DeletePipelineJobRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::DeletePipelineJobRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #delete_pipeline_job(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_pipeline_job via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The name of the PipelineJob resource to be deleted. Format: projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 1066

def delete_pipeline_job request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeletePipelineJobRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.delete_pipeline_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.delete_pipeline_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.delete_pipeline_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :delete_pipeline_job, request, options: options do |response, operation|
    response = ::Gapic::Operation.new response, @operations_client, options: options
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#delete_training_pipeline(request, options = nil) ⇒ ::Gapic::Operation #delete_training_pipeline(name: nil) ⇒ ::Gapic::Operation

Deletes a TrainingPipeline.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::DeleteTrainingPipelineRequest.new

# Call the delete_training_pipeline method.
result = client.delete_training_pipeline request

# The returned object is of type Gapic::Operation. You can use this
# object to check the status of an operation, cancel it, or wait
# for results. Here is how to block until completion:
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "Error!"
end

Overloads:

  • #delete_training_pipeline(request, options = nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_training_pipeline via a request object, either of type DeleteTrainingPipelineRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::DeleteTrainingPipelineRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #delete_training_pipeline(name: nil) ⇒ ::Gapic::Operation

    Pass arguments to delete_training_pipeline via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The name of the TrainingPipeline resource to be deleted. Format: projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

  • response (::Gapic::Operation)
  • operation (::GRPC::ActiveCall::Operation)

Returns:

  • (::Gapic::Operation)

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 542

def delete_training_pipeline request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteTrainingPipelineRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.delete_training_pipeline.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.delete_training_pipeline.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.delete_training_pipeline.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :delete_training_pipeline, request, options: options do |response, operation|
    response = ::Gapic::Operation.new response, @operations_client, options: options
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#get_pipeline_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::PipelineJob #get_pipeline_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::PipelineJob

Gets a PipelineJob.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::GetPipelineJobRequest.new

# Call the get_pipeline_job method.
result = client.get_pipeline_job request

# The returned object is of type Google::Cloud::AIPlatform::V1::PipelineJob.
p result

Overloads:

  • #get_pipeline_job(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::PipelineJob

    Pass arguments to get_pipeline_job via a request object, either of type GetPipelineJobRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::GetPipelineJobRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #get_pipeline_job(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::PipelineJob

    Pass arguments to get_pipeline_job via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The name of the PipelineJob resource. Format: projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 821

def get_pipeline_job request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetPipelineJobRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.get_pipeline_job.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.get_pipeline_job.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.get_pipeline_job.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :get_pipeline_job, request, options: options do |response, operation|
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#get_training_pipeline(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TrainingPipeline #get_training_pipeline(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TrainingPipeline

Gets a TrainingPipeline.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::GetTrainingPipelineRequest.new

# Call the get_training_pipeline method.
result = client.get_training_pipeline request

# The returned object is of type Google::Cloud::AIPlatform::V1::TrainingPipeline.
p result

Overloads:

  • #get_training_pipeline(request, options = nil) ⇒ ::Google::Cloud::AIPlatform::V1::TrainingPipeline

    Pass arguments to get_training_pipeline via a request object, either of type GetTrainingPipelineRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::GetTrainingPipelineRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #get_training_pipeline(name: nil) ⇒ ::Google::Cloud::AIPlatform::V1::TrainingPipeline

    Pass arguments to get_training_pipeline via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • name (::String) (defaults to: nil) —

      Required. The name of the TrainingPipeline resource. Format: projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 325

def get_training_pipeline request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetTrainingPipelineRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.get_training_pipeline.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.name
    header_params["name"] = request.name
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.get_training_pipeline.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.get_training_pipeline.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :get_training_pipeline, request, options: options do |response, operation|
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#list_pipeline_jobs(request, options = nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::PipelineJob> #list_pipeline_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::PipelineJob>

Lists PipelineJobs in a Location.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::ListPipelineJobsRequest.new

# Call the list_pipeline_jobs method.
result = client.list_pipeline_jobs request

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::PipelineJob.
  p response
end

Overloads:

  • #list_pipeline_jobs(request, options = nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::PipelineJob>

    Pass arguments to list_pipeline_jobs via a request object, either of type ListPipelineJobsRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListPipelineJobsRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #list_pipeline_jobs(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::PipelineJob>

    Pass arguments to list_pipeline_jobs via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. The resource name of the Location to list the PipelineJobs from. Format: projects/{project}/locations/{location}

    • filter (::String) (defaults to: nil) —

      Lists the PipelineJobs that match the filter expression. The following fields are supported:

      • pipeline_name: Supports = and != comparisons.
      • display_name: Supports =, != comparisons, and : wildcard.
      • pipeline_job_user_id: Supports =, != comparisons, and : wildcard. for example, can check if pipeline's display_name contains step by doing display_name:\"step\"
      • state: Supports = and != comparisons.
      • create_time: Supports =, !=, <, >, <=, and >= comparisons. Values must be in RFC 3339 format.
      • update_time: Supports =, !=, <, >, <=, and >= comparisons. Values must be in RFC 3339 format.
      • end_time: Supports =, !=, <, >, <=, and >= comparisons. Values must be in RFC 3339 format.
      • labels: Supports key-value equality and key presence.
      • template_uri: Supports =, != comparisons, and : wildcard.
      • template_metadata.version: Supports =, != comparisons, and : wildcard.

      Filter expressions can be combined together using logical operators (AND & OR). For example: pipeline_name="test" AND create_time>"2020-05-18T13:30:00Z".

      The syntax to define filter expression is based on https://google.aip.dev/160.

      Examples:

      • create_time>"2021-05-18T00:00:00Z" OR update_time>"2020-05-18T00:00:00Z" PipelineJobs created or updated after 2020-05-18 00:00:00 UTC.
      • labels.env = "prod" PipelineJobs with label "env" set to "prod".
    • page_size (::Integer) (defaults to: nil) —

      The standard list page size.

    • page_token (::String) (defaults to: nil) —

      The standard list page token. Typically obtained via ListPipelineJobsResponse.next_page_token of the previous PipelineService.ListPipelineJobs call.

    • order_by (::String) (defaults to: nil) —

      A comma-separated list of fields to order by. The default sort order is in ascending order. Use "desc" after a field name for descending. You can have multiple order_by fields provided e.g. "create_time desc, end_time", "end_time, start_time, update_time" For example, using "create_time desc, end_time" will order results by create time in descending order, and if there are multiple jobs having the same create time, order them by the end time in ascending order. if order_by is not specified, it will order by default order is create time in descending order. Supported fields:

      • create_time
      • update_time
      • end_time
      • start_time
    • read_mask (::Google::Protobuf::FieldMask, ::Hash) (defaults to: nil) —

      Mask specifying which fields to read.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 971

def list_pipeline_jobs request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListPipelineJobsRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.list_pipeline_jobs.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.list_pipeline_jobs.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.list_pipeline_jobs.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :list_pipeline_jobs, request, options: options do |response, operation|
    response = ::Gapic::PagedEnumerable.new @pipeline_service_stub, :list_pipeline_jobs, request, response, operation, options
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end

#list_training_pipelines(request, options = nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TrainingPipeline> #list_training_pipelines(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TrainingPipeline>

Lists TrainingPipelines in a Location.

Examples:

Basic example

require "google/cloud/ai_platform/v1"

# Create a client object. The client can be reused for multiple calls.
client = Google::Cloud::AIPlatform::V1::PipelineService::Client.new

# Create a request. To set request fields, pass in keyword arguments.
request = Google::Cloud::AIPlatform::V1::ListTrainingPipelinesRequest.new

# Call the list_training_pipelines method.
result = client.list_training_pipelines request

# The returned object is of type Gapic::PagedEnumerable. You can
# iterate over all elements by calling #each, and the enumerable
# will lazily make API calls to fetch subsequent pages. Other
# methods are also available for managing paging directly.
result.each do |response|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::TrainingPipeline.
  p response
end

Overloads:

  • #list_training_pipelines(request, options = nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TrainingPipeline>

    Pass arguments to list_training_pipelines via a request object, either of type ListTrainingPipelinesRequest or an equivalent Hash.

    Parameters:

    • request (::Google::Cloud::AIPlatform::V1::ListTrainingPipelinesRequest, ::Hash) —

      A request object representing the call parameters. Required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash.

    • options (::Gapic::CallOptions, ::Hash) (defaults to: nil) —

      Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.

  • #list_training_pipelines(parent: nil, filter: nil, page_size: nil, page_token: nil, read_mask: nil) ⇒ ::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TrainingPipeline>

    Pass arguments to list_training_pipelines via keyword arguments. Note that at least one keyword argument is required. To specify no parameters, or to keep all the default parameter values, pass an empty Hash as a request object (see above).

    Parameters:

    • parent (::String) (defaults to: nil) —

      Required. The resource name of the Location to list the TrainingPipelines from. Format: projects/{project}/locations/{location}

    • filter (::String) (defaults to: nil) —

      The standard list filter.

      Supported fields:

      • display_name supports =, != comparisons, and : wildcard.
      • state supports =, != comparisons.
      • training_task_definition =, != comparisons, and : wildcard.
      • create_time supports =, !=,<, <=,>, >= comparisons. create_time must be in RFC 3339 format.
      • labels supports general map functions that is: labels.key=value - key:value equality `labels.key:* - key existence

      Some examples of using the filter are:

      • state="PIPELINE_STATE_SUCCEEDED" AND display_name:"my_pipeline_*"
      • state!="PIPELINE_STATE_FAILED" OR display_name="my_pipeline"
      • NOT display_name="my_pipeline"
      • create_time>"2021-05-18T00:00:00Z"
      • training_task_definition:"*automl_text_classification*"
    • page_size (::Integer) (defaults to: nil) —

      The standard list page size.

    • page_token (::String) (defaults to: nil) —

      The standard list page token. Typically obtained via ListTrainingPipelinesResponse.next_page_token of the previous PipelineService.ListTrainingPipelines call.

    • read_mask (::Google::Protobuf::FieldMask, ::Hash) (defaults to: nil) —

      Mask specifying which fields to read.

Yields:

  • (response, operation) —

    Access the result along with the RPC operation

Yield Parameters:

Returns:

Raises:

  • (::Google::Cloud::Error) —

    if the RPC is aborted.



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# File 'lib/google/cloud/ai_platform/v1/pipeline_service/client.rb', line 447

def list_training_pipelines request, options = nil
  raise ::ArgumentError, "request must be provided" if request.nil?

  request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListTrainingPipelinesRequest

  # Converts hash and nil to an options object
  options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

  # Customize the options with defaults
  metadata = @config.rpcs.list_training_pipelines.metadata.to_h

  # Set x-goog-api-client and x-goog-user-project headers
  metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
    lib_name: @config.lib_name, lib_version: @config.lib_version,
    gapic_version: ::Google::Cloud::AIPlatform::V1::VERSION
  metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

  header_params = {}
  if request.parent
    header_params["parent"] = request.parent
  end

  request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
  metadata[:"x-goog-request-params"] ||= request_params_header

  options.apply_defaults timeout:      @config.rpcs.list_training_pipelines.timeout,
                         metadata:     metadata,
                         retry_policy: @config.rpcs.list_training_pipelines.retry_policy

  options.apply_defaults timeout:      @config.timeout,
                         metadata:     @config.metadata,
                         retry_policy: @config.retry_policy

  @pipeline_service_stub.call_rpc :list_training_pipelines, request, options: options do |response, operation|
    response = ::Gapic::PagedEnumerable.new @pipeline_service_stub, :list_training_pipelines, request, response, operation, options
    yield response, operation if block_given?
    return response
  end
rescue ::GRPC::BadStatus => e
  raise ::Google::Cloud::Error.from_error(e)
end