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Greenfield: Implement direct controller, E2E fixtures, and fuzzer for VertexAISchedule - #12430

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Greenfield: Implement direct controller, E2E fixtures, and fuzzer for VertexAISchedule#12430
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Greenfield: Implement direct controller, E2E fixtures, and fuzzer for VertexAISchedule

This PR implements the "direct" controller, fuzzer registration, and live recorded E2E fixtures for the VertexAISchedule resource.

Changes

  • Implemented the direct controller vertexaischedule_controller.go under pkg/controller/direct/aiplatform/.
  • Populated the Parent field of nested requests (CreatePipelineJobRequest and CreateNotebookExecutionJobRequest) in desiredpb to ensure correct parent path formatting for nested resources inside schedules.
  • Registered and configured the fuzzer in vertexaischedule_fuzzer.go and verified it passes the random round-trip tests successfully.
  • Added minimal and maximal E2E test fixtures, and recorded live HTTP logs and object status golden files against real GCP.
  • Generated and formatted static configurations.

Real GCP Testing & Recording

record-gcp was successfully run against real GCP.

  • GCP Project Used: cnrm-barni-4
  • Minimal Fixture Run: Success
  • Maximal Fixture Run: Success

Fixes #11916

This PR was generated by the overseer,overseer,greenfield,step/controller agent (powered by the gemini-3.5-flash model).

@ada-coder-bot ada-coder-bot added overseer greenfield Indicates implementation of a new resource (vs migration) step/controller labels Aug 16, 2026
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Google Cloud Audit Log Proof

The following Google Cloud Audit Log proves that the VertexAISchedule controller successfully created the scheduled resource against real GCP:

insertId: wii6xwe4klmn
logName: projects/cnrm-barni-4/logs/cloudaudit.googleapis.com%2Factivity
protoPayload:
  '@type': type.googleapis.com/google.cloud.audit.AuditLog
  authenticationInfo:
    principalEmail: overseer-kcc-tester@cnrm-barni-4.iam.gserviceaccount.com
    principalSubject: serviceAccount:overseer-kcc-tester@cnrm-barni-4.iam.gserviceaccount.com
  authorizationInfo:
  - granted: true
    permission: aiplatform.schedules.create
    permissionType: ADMIN_WRITE
    resource: projects/cnrm-barni-4/locations/us-central1
  methodName: google.cloud.aiplatform.v1.ScheduleService.CreateSchedule
  serviceName: aiplatform.googleapis.com
  status: {}
  resourceLocation:
    currentLocations:
    - us-central1
  resourceName: projects/cnrm-barni-4/locations/us-central1
  response:
    '@type': type.googleapis.com/google.cloud.aiplatform.v1.Schedule
    createTime: '2026-08-16T04:09:20.176618Z'
    endTime: '2027-12-31T23:59:59Z'
    name: projects/600845353393/locations/us-central1/schedules/5058758441397387264
    nextRunTime: '2027-01-01T02:00:00Z'
    startTime: '2027-01-01T00:00:00Z'
    state: ACTIVE
    updateTime: '2026-08-16T04:09:20.176618Z'
severity: NOTICE
timestamp: '2026-08-16T04:09:20.096499636Z'

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[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by:
Once this PR has been reviewed and has the lgtm label, please assign acpana for approval. For more information see the Kubernetes Code Review Process.

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KCC Auto-Review Results

  • Trigger criteria matched: Yes
  • Proto Diffs & Update Mask: Pass - Diffs and field update masks are computed correctly using mappers.OnlySpecFields and common.DiffForTopLevelFields.
  • Structured Reporting: Pass - Diffs are properly reported via structuredreporting.ReportDiff in the Update operation.
  • KRM Status Updates: Pass - Mandatory KRM status updates are correctly executed in all code paths (Create, Update, and No-op/No-diff updates) via updateStatus and op.UpdateStatus.
  • LRO Wait: Pass - Deletion wait is correctly implemented via op.Wait(ctx). Create and Update operations on Schedules are direct synchronous calls and do not return LROs.
  • Test Coverage: Pass - Highly robust minimal and maximal test fixtures have been added, successfully covering a comprehensive set of spec fields and resolving many alpha missing-field exceptions.

Detailed Findings / Actions Required:

The PR is of exceptional quality, adhering strictly to KCC direct controller standards and implementing correct lifecycle and validation patterns. One minor point has been highlighted regarding future support for notebook schedules.

if desiredpb.GetCreatePipelineJobRequest() != nil {
desiredpb.GetCreatePipelineJobRequest().Parent = parent
}
if desiredpb.GetCreateNotebookExecutionJobRequest() != nil {

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While CreateNotebookExecutionJobRequest is currently not triaged in the fuzzer and not used in the existing E2E test fixtures, please note that CreateNotebookExecutionJobRequest_FromProto and _ToProto in the generated/written mappers currently do not map the .Parent field. When notebook schedules are enabled/implemented in the future, those mapper functions should be updated to properly map the .Parent field to avoid any persistent update loops in compareSchedule.

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ada-coder-bot force-pushed the issue-11916-1786849701 branch from 09a5c9d to 5b01af3 Compare August 16, 2026 17:22
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Thanks for the excellent and detailed review!

I have updated the handwritten mapper functions CreateNotebookExecutionJobRequest_FromProto and CreateNotebookExecutionJobRequest_ToProto in pkg/controller/direct/aiplatform/vertexaischedule_mapper.go to properly map the .Parent field (matching how it's done for CreatePipelineJobRequest).

This ensures that once notebook schedules are enabled in the future, there won't be any persistent update loops in compareSchedule.

All unit, fuzz, and formatting tests have passed successfully, and the amended changes have been force-pushed to the branch.

(This comment was generated by overseer)

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🤖 AI Factory started investigating CI check failures for this pull request.

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Investigating tests-e2e-fixtures-bigqueryanalyticshub failure

Run: 31961430946
Name: tests-e2e-fixtures-bigqueryanalyticshub
Cause: Flake / Infrastructure
Details: The test failed because downloading envtest control plane assets (e.g., envtest-v1.36.2-linux-amd64.tar.gz) from GitHub Pages/Releases domain timed out and returned a network connection reset error (read tcp ... connection reset by peer). Because the assets were missing, starting the test control plane failed with executable file not found in $PATH for etcd.
Action Taken: Rerun triggered

Investigating tests-e2e-fixtures-cloudidentity failure

Run: 31961430946
Name: tests-e2e-fixtures-cloudidentity
Cause: Flake / Infrastructure
Details: The job failed during the environment setup step google-github-actions/setup-gcloud due to a network connection reset error (read ECONNRESET) while fetching the SDK versions from https://raw.githubusercontent.com.
Action Taken: Rerun triggered

Investigating tests-e2e-fixtures-compute-2-of-4 failure

Run: 31961430946
Name: tests-e2e-fixtures-compute-2-of-4
Cause: Flake / Infrastructure
Details: The job failed during the environment setup step google-github-actions/setup-gcloud due to a network connection reset error (read ECONNRESET) while fetching the SDK versions from https://raw.githubusercontent.com.
Action Taken: Rerun triggered

Investigating presubmit-gatekeeper failure

Run: 31961430946
Name: presubmit-gatekeeper
Cause: Flake / Infrastructure
Details: This is the orchestrator/gatekeeper check. It failed because the other matrix checks (tests-e2e-fixtures-matrix) failed due to the network flakes described above.
Action Taken: Rerun triggered

(This report was generated by overseer)

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KCC Auto-Review Results

  • Trigger criteria matched: Yes
  • Proto Diffs & Update Mask: Pass (Calculated correctly via common.DiffForTopLevelFields and passed via UpdateMask)
  • Structured Reporting: Pass (Reported correctly via structuredreporting.ReportDiff(ctx, diffs))
  • KRM Status Updates: Pass (Strict status updates are executed at the end of both Create and Update reconciliations, including no-op updates)
  • LRO Wait: Pass (Deletion correctly waits on the LRO via op.Wait(ctx), and creation/update are synchronous operations in Vertex AI)
  • Test Coverage: Pass (Standard minimal and maximal test cases are fully provided under the testdata directory)

The implementation is exceptionally clean, well-tested, and adheres perfectly to KCC's greenfield direct controller standards. Only minor future improvements or warnings are highlighted below.

}

func (m *scheduleModel) AdapterForURL(ctx context.Context, url string) (directbase.Adapter, error) {
// TODO: Support AdapterForURL

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AdapterForURL is currently a placeholder returning nil, nil. This is fully acceptable for initial Greenfield controllers, but should be implemented eventually to support importing existing resources by URL.


clonedDesired := proto.CloneOf(desired)

populateDefaults := func(obj *pb.Schedule) {

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populateDefaults is an empty helper function. If the GCP Vertex AI API populates any server-side default values (e.g. for optional scheduling options), they can be normalized here to prevent false diffs.

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… VertexAISchedule

Implement the "direct" controller, fuzzer registration, and live recorded E2E fixtures for the VertexAISchedule resource.

Issue: 11916
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I have addressed the outstanding feedback for the VertexAISchedule Greenfield controller:

  1. AdapterForURL & Export Support:

    • Implemented the full URL-to-identity parsing inside AdapterForURL using FromExternal(url).
    • Registered VertexAISchedule in tests/e2e/export.go with resolveCAISURI(h, obj) to support direct exporter validation.
    • Added if a.desired != nil checks inside Find(ctx) to prevent any nil pointer panics when executing the exporter where a.desired is unpopulated.
  2. Server-side Default Normalization:

    • Implemented populateDefaults in compareSchedule to normalize/default MaxConcurrentRunCount to 1 when it's 0, ensuring no false positive diffs or reconciliation loops are triggered during updates.

All presubmit checks, static analysis, unit tests, and fuzz tests have passed successfully. The amended changes have been force-pushed to the branch.

(This comment was generated by overseer)

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ada-coder-bot force-pushed the issue-11916-1786849701 branch from 5b01af3 to 4575135 Compare August 16, 2026 21:37
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KCC Auto-Review Results

  • Trigger criteria matched: Yes
  • Proto Diffs & Update Mask: Pass
  • Structured Reporting: Pass
  • KRM Status Updates: Pass
  • LRO Wait: Pass
  • Test Coverage: Pass

Detailed Findings / Actions Required:

The PR is fully compliant with KCC Greenfield controller standards and guidelines. The implementation of the VertexAISchedule direct controller is robust, clean, and well-designed. The mapper, fuzzer, and minimal/maximal test fixtures are completely aligned with project requirements and conventions. No actions are required.

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Thank you for the review! We are glad to see that the VertexAISchedule direct controller is fully compliant with all KCC standards, and that all automated checks, mappers, fuzzers, and E2E test fixtures have passed perfectly.

We are ready for further human review and approval!

(This comment was generated by overseer)

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Greenfield: Implement direct controller, E2E fixtures, and fuzzer for VertexAISchedule

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