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Support for Vertex AI resources #9298
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Would really really like to see Feature Store supported please folks! |
It is being worked on. |
This needs to have the milestone unassigned and a P1 priority. Relates to issue http://b/199214105. |
GoogleCloudPlatform/magic-modules#6759 added |
Since about half of the requested resources have been implemented, we're closing this issue; it's not possible to tell how many of the thumbs are due to resources that have already been implemented. For anyone following this issue: Please open new (individual) issues for any resources that you want to see in the providers that are not yet supported. Thank you! |
* First commit for VPC sub-segmentation feature. All relevant resources and tests updated. * Adding access levels instead of using a fake access level name. Also moving a VPC network to the top level instead of (incorrectly) inside another resource. * Fixing conflict between ip_subnetworks and vpc_ip_subnetworks * Undoing changes to access level condition test * Undoing changes to access level condition test * Ran gofmt * Re-adding access level conditions tests * Changing resource names to camel case to match what the HTTP response from the API returns. Also removing the 'resource' field because it's behind an allowlist. * Parameterizing the names of VPC networks created in tests * Fixing access level condition test * Fixed formatting with gofmt * Added missing fields in egress_from for service perimeter test. * Added "required: true" for AccessLevel.VpcNetworkSource.network field to match description. * Added egress source changes to test data in: example_access_context_manager_service_perimeter.tfplan.json * Add Egress Source/source restriction changes to example_access_context_manager_service_perimeter.tf * Attempt to fix example_access_context_manager_service_perimeter.tfplan.json to make it parse correctly * Add Egress Source to expected tcg test result data * Fixing expected output format in example_access_context_manager_service_perimeter.json * Fix Access Level format in expected output in example_access_context_manager_service_perimeter.json --------- Co-authored-by: vgm <[email protected]> Co-authored-by: Viktor Moros <[email protected]> [upstream:d30384c9aa2002c56102ce4c8f0c76c77706b923] Signed-off-by: Modular Magician <[email protected]>
* First commit for VPC sub-segmentation feature. All relevant resources and tests updated. * Adding access levels instead of using a fake access level name. Also moving a VPC network to the top level instead of (incorrectly) inside another resource. * Fixing conflict between ip_subnetworks and vpc_ip_subnetworks * Undoing changes to access level condition test * Undoing changes to access level condition test * Ran gofmt * Re-adding access level conditions tests * Changing resource names to camel case to match what the HTTP response from the API returns. Also removing the 'resource' field because it's behind an allowlist. * Parameterizing the names of VPC networks created in tests * Fixing access level condition test * Fixed formatting with gofmt * Added missing fields in egress_from for service perimeter test. * Added "required: true" for AccessLevel.VpcNetworkSource.network field to match description. * Added egress source changes to test data in: example_access_context_manager_service_perimeter.tfplan.json * Add Egress Source/source restriction changes to example_access_context_manager_service_perimeter.tf * Attempt to fix example_access_context_manager_service_perimeter.tfplan.json to make it parse correctly * Add Egress Source to expected tcg test result data * Fixing expected output format in example_access_context_manager_service_perimeter.json * Fix Access Level format in expected output in example_access_context_manager_service_perimeter.json --------- [upstream:d30384c9aa2002c56102ce4c8f0c76c77706b923] Signed-off-by: Modular Magician <[email protected]>
I'm going to lock this issue because it has been closed for 30 days ⏳. This helps our maintainers find and focus on the active issues. |
Community Note
Description
Currently none of the recently released Vertex AI resources are supported by the terraform provider.
https://cloud.google.com/vertex-ai/docs/reference
New or Affected Resource(s)
Batch Predictions
CustomJobs
dataLabeling
datasetsendpointsFeature stores (v1beta1)hyperparameter Tuning Jobs
indexEndpoints (v1beta1)indexs (v1beta1)metadata stores (v1beta1)Model deployment monitoring Jobs (v1beta1)
Models
operations
pipeline Jobs
Specialist Pools
studies (v1beta1)
tensorboards (v1beta1)Training Pipelines
References
https://cloud.google.com/vertex-ai/docs/reference
There is an existing request for Feature Stores #9264
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