Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::MetadataService::Client (v0.21.0)

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::PagedEnumerable. You can iterate
# over elements, and API calls will be issued to fetch pages as needed.
result.each do |item|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::Artifact.
  p item
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::PagedEnumerable. You can iterate
# over elements, and API calls will be issued to fetch pages as needed.
result.each do |item|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::Context.
  p item
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::PagedEnumerable. You can iterate
# over elements, and API calls will be issued to fetch pages as needed.
result.each do |item|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::Execution.
  p item
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::PagedEnumerable. You can iterate
# over elements, and API calls will be issued to fetch pages as needed.
result.each do |item|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::MetadataSchema.
  p item
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::PagedEnumerable. You can iterate
# over elements, and API calls will be issued to fetch pages as needed.
result.each do |item|
  # Each element is of type ::Google::Cloud::AIPlatform::V1::MetadataStore.
  p item
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

require "google/cloud/ai_platform/v1"

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

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

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

# The returned object is of type Gapic::Operation. You can use it to
# check the status of an operation, cancel it, or wait for results.
# Here is how to wait for a response.
result.wait_until_done! timeout: 60
if result.response?
  p result.response
else
  puts "No response received."
end

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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

require "google/cloud/ai_platform/v1"

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

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

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

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