google_vertex_ai_metadata_store resource
Use the google_vertex_ai_metadata_store InSpec audit resource to to test a Google Cloud MetadataStore resource.
Examples
describe google_vertex_ai_metadata_store(name: "projects/#{gcp_project_id}/locations/#{metadata_store['region']}/metadataStores/#{metadata_store['name']}", region: ' value_region') do
it { should exist }
its('description') { should cmp 'value_description' }
its('create_time') { should cmp 'value_createtime' }
its('update_time') { should cmp 'value_updatetime' }
its('name') { should cmp 'value_name' }
end
describe google_vertex_ai_metadata_store(name: "does_not_exit", region: ' value_region') do
it { should_not exist }
end
Properties
Properties that can be accessed from the google_vertex_ai_metadata_store resource:
description: Description of the MetadataStore.create_time: Output only. Timestamp when this MetadataStore was created.update_time: Output only. Timestamp when this MetadataStore was last updated.encryption_spec: Represents a customer-managed encryption key spec that can be applied to a top-level resource.kms_key_name: Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form:projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
state: Represents state information for a MetadataStore.disk_utilization_bytes: The disk utilization of the MetadataStore in bytes.
name: Output only. The resource name of the MetadataStore instance.