Add sweepers for vertex_dataset, vertex_tensorboard and vertex_metada…

…taStore (GoogleCloudPlatform#9911)
balanaguharsha · Apr 19, 2024 · a38b058 · a38b058
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diff --git a/mmv1/products/vertexai/Dataset.yaml b/mmv1/products/vertexai/Dataset.yaml
@@ -46,7 +46,6 @@ description: |-
 autogen_async: false
 id_format: '{{name}}'
 exclude_import: true
-skip_sweeper: true
 examples:
   - !ruby/object:Provider::Terraform::Examples
     name: 'vertex_ai_dataset'

diff --git a/mmv1/products/vertexai/MetadataStore.yaml b/mmv1/products/vertexai/MetadataStore.yaml
@@ -45,7 +45,6 @@ description: |-
   Instance of a metadata store. Contains a set of metadata that can be queried.
 autogen_async: false
 id_format: '{{name}}'
-skip_sweeper: true
 examples:
   - !ruby/object:Provider::Terraform::Examples
     name: 'vertex_ai_metadata_store'

diff --git a/mmv1/products/vertexai/Tensorboard.yaml b/mmv1/products/vertexai/Tensorboard.yaml
@@ -40,7 +40,6 @@ async: !ruby/object:Api::OpAsync
     message: 'message'
 description: |-
   Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a GCP project. If needed users can also create extra Tensorboards in their projects.
-skip_sweeper: true
 examples:
   - !ruby/object:Provider::Terraform::Examples
     name: 'vertex_ai_tensorboard'