apiVersion: apps/v1
kind: Deployment
metadata:
  name: kubeflow-pipelines-profile-controller
spec:
  template:
    spec:
      containers:
      - name: profile-controller
        securityContext:
          allowPrivilegeEscalation: false
          seccompProfile:
            type: RuntimeDefault
          runAsNonRoot: true
          runAsUser: 1000
          runAsGroup: 0
          capabilities:
            drop:
            - ALL
        # We just need an image with the python botocore library installed
        image: docker.io/alpine/k8s:1.32.3
        command: ["python", "/hooks/sync.py"]
        env:
        - name: KFP_VERSION
          valueFrom:
            configMapKeyRef:
              name: pipeline-install-config
              key: appVersion
        - name: AWS_ENDPOINT_URL
          value: http://seaweedfs:8111
        - name: AWS_REGION
          value: us-east-1
        - name: AWS_ACCESS_KEY_ID
          valueFrom:
            secretKeyRef:
              name: mlpipeline-minio-artifact
              key: accesskey
        - name: AWS_SECRET_ACCESS_KEY
          valueFrom:
            secretKeyRef:
              name: mlpipeline-minio-artifact
              key: secretkey