modelsync.yaml

# This sample is intended for use with running the controller locally.
# needsSyncUrl should point to a service running on localhost.
# If you are running the lambda service in the cluster you need to
# setup port-forwarding with kubectl
apiVersion: automl.cloudai.kubeflow.org/v1alpha1
kind: ModelSync
metadata:
  name: labelbot-deploy
spec:
  # This url is for the labelbot diff service. It must be deployed.  
  failedPipelineRunsHistoryLimit: 10
  successfulPipelineRunsHistoryLimit: 10
  needsSyncUrl: "http://labelbot-diff.label-bot-prod/needsSync"
  parameters:
  - needsSyncName: name
    pipelineName: automl-model  
  pipelineRunTemplate:
    spec:
      params:
        - name: automl-model
          #value: "projects/976279526634/locations/us-central1/models/TCN654213816573231104"
          # If we don't make any change we will get problems trying to do a commit.
          value: "notavlidmodel"
        # We can reuse the same branch for serial updates as long as the updates happen sequentially.
        # This way we can avoid cluterring the repository with multiple branches
        # However, only one change can be open on a branch at a time.  
        - name: branchName
          value: auto-update
        - name: fork
          value: git@github.com:kubeflow/code-intelligence.git
        - name: forkName
          value: fork
      resources:
      - name: repo
        resourceSpec:
          type: git
          params:
          - name: url
            value: https://github.com/kubeflow/code-intelligence.git
          - name: revision
            value: master
      pipelineRef:
        name: update-model-pr
      serviceAccountName: auto-update