name: showcase-anomaly-detection
spec:
  namespace: showcase
  # Published by .github/workflows/build-showcase.yml.
  image: ghcr.io/uffescience/akoflow-showcase-anomaly-detection:v1
  activities:
    - name: generate-data
      runtime: local
      # The local executor launches this OCI image through Docker in run.sh.
      run: docker run --rm ghcr.io/uffescience/akoflow-showcase-anomaly-detection:v1 generate-data
      cpuLimit: "1"
      memoryLimit: 256Mi
    - name: feature-engineering
      runtime: local
      # The local executor launches this OCI image through Docker in run.sh.
      run: docker run --rm ghcr.io/uffescience/akoflow-showcase-anomaly-detection:v1 feature-engineering
      cpuLimit: "1"
      memoryLimit: 256Mi
      dependsOn:
        - generate-data
    - name: train
      runtime: local
      # The local executor launches this OCI image through Docker in run.sh.
      run: docker run --rm ghcr.io/uffescience/akoflow-showcase-anomaly-detection:v1 train
      cpuLimit: "1"
      memoryLimit: 256Mi
      dependsOn:
        - feature-engineering
    - name: score
      runtime: local
      # The local executor launches this OCI image through Docker in run.sh.
      run: docker run --rm ghcr.io/uffescience/akoflow-showcase-anomaly-detection:v1 score
      cpuLimit: "1"
      memoryLimit: 256Mi
      dependsOn:
        - train
    - name: threshold
      runtime: local
      # The local executor launches this OCI image through Docker in run.sh.
      run: docker run --rm ghcr.io/uffescience/akoflow-showcase-anomaly-detection:v1 threshold
      cpuLimit: "1"
      memoryLimit: 256Mi
      dependsOn:
        - score