fix trailing issues in workflow files

Signed-off-by: hansinikarunarathne <107214435+hansinikarunarathne@users.noreply.github.com>
kubeflow · Jul 30, 2024 · 0e16243 · 0e16243
1 parent 82366d3
commit 0e16243
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diff --git a/.github/workflows/bentoml_test.yaml b/.github/workflows/bentoml_test.yaml
@@ -18,7 +18,7 @@ jobs:
       run: |
         chmod +x tests/gh-actions/install_KinD_create_KinD_cluster_install_kustomize.sh
         ./tests/gh-actions/install_KinD_create_KinD_cluster_install_kustomize.sh
-    
+  
     - name: Install cert-manager
       run: ./tests/gh-actions/install_cert_manager.sh
 

diff --git a/.github/workflows/pipeline_test.yaml b/.github/workflows/pipeline_test.yaml
@@ -15,105 +15,105 @@ jobs:
   build:
     runs-on: ubuntu-latest
     steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      - name: Install KinD, Create KinD cluster and Install kustomize
-        run: |
-          chmod +x tests/gh-actions/install_KinD_create_KinD_cluster_install_kustomize.sh
-          ./tests/gh-actions/install_KinD_create_KinD_cluster_install_kustomize.sh
-
-      - name: Install kubectl
-        run: ./tests/gh-actions/install_kubectl.sh
-
-      - name: Install Istio with external authentication
-        run: ./tests/gh-actions/install_istio_with_ext_auth.sh
-
-      - name: Install cert-manager
-        run: ./tests/gh-actions/install_cert_manager.sh
-
-      - name: Create kubeflow namespace
-        run: kustomize build common/kubeflow-namespace/base | kubectl apply -f -
-
-      - name: Install KF Pipelines
-        run: ./tests/gh-actions/install_pipelines.sh
-
-      - name: Install KF Multi Tenancy
-        run: ./tests/gh-actions/install_multi_tenancy.sh
-
-      - name: Install kubeflow-istio-resources
-        run: kustomize build common/istio-1-22/kubeflow-istio-resources/base | kubectl apply -f -
-
-      - name: Create KF Profile
-        run: kustomize build common/user-namespace/base | kubectl apply -f -
-
-      - name: port forward
-        run: |
-          ingress_gateway_service=$(kubectl get svc --namespace istio-system --selector="app=istio-ingressgateway" --output jsonpath='{.items[0].metadata.name}')
-          nohup kubectl port-forward --namespace istio-system svc/${ingress_gateway_service} 8080:80 &
-          while ! curl localhost:8080; do echo waiting for port-forwarding; sleep 1; done; echo port-forwarding ready
-
-      - name: Wait for the kubeflow-m2m-oidc-configurator Job
-        run: |
-          ./tests/gh-actions/wait_for_kubeflow_m2m_oidc_configurator.sh
-
-      - name: List and deploy test pipeline with authorized ServiceAccount Token
-        run: |
-          pip3 install kfp==2.4.0
-          KF_PROFILE=kubeflow-user-example-com
-          TOKEN="$(kubectl -n $KF_PROFILE create token default-editor)"
-
-          python -c '
-          from time import sleep
-          import kfp
-          import sys
-
-          token = sys.argv[1]
-          namespace = sys.argv[2]
-          client = kfp.Client(host="http://localhost:8080/pipeline", existing_token=token)
-
-          pipeline = client.list_pipelines().pipelines[0]
-          pipeline_name = pipeline.display_name
-          pipeline_id = pipeline.pipeline_id
-          pipeline_version_id = client.list_pipeline_versions(pipeline_id).pipeline_versions[0].pipeline_version_id
-          experiment_id = client.create_experiment("m2m-test", namespace=namespace).experiment_id
-
-          print(f"Starting pipeline {pipeline_name}.")
-          run_id = client.run_pipeline(experiment_id=experiment_id, job_name="m2m-test", pipeline_id=pipeline_id, version_id=pipeline_version_id).run_id
-
-          while True:
-            status = client.get_run(run_id=run_id).state
-            if status in ["PENDING", "RUNNING"]:
-              print(f"Waiting for run_id: {run_id}, status: {status}.")
-              sleep(10)
-            else:
-              print(f"Run with id {run_id} finished with status: {status}.")
-              if status != "SUCCEEDED":
-                print("Pipeline failed")
-                raise SystemExit(1)
-              break
-          ' "${TOKEN}" "${KF_PROFILE}"
-
-      - name: Fail to list pipelines with unauthorized ServiceAccount Token
-        run: |
-          pip3 install kfp==2.4.0
-          KF_PROFILE=kubeflow-user-example-com
-          TOKEN="$(kubectl -n default create token default)"
-
-          python -c '
-          import kfp
-          import sys
-          from kfp_server_api.exceptions import ApiException
-
-          token = sys.argv[1]
-          namespace = sys.argv[2]
-          client = kfp.Client(host="http://localhost:8080/pipeline", existing_token=token)
-
-          try:
-            pipeline = client.list_runs(namespace=namespace)
-          except ApiException as e:
-            assert e.status == 403, "This API Call should return unauthorized/forbidden error."
-          ' "${TOKEN}" "${KF_PROFILE}"
-
-          echo "Test succeeded. Token from unauthorized ServiceAccount cannot list \
-          piplines in $KF_PROFILE namespace."
+    - name: Checkout
+      uses: actions/checkout@v4
+
+    - name: Install KinD, Create KinD cluster and Install kustomize
+      run: |
+        chmod +x tests/gh-actions/install_KinD_create_KinD_cluster_install_kustomize.sh
+        ./tests/gh-actions/install_KinD_create_KinD_cluster_install_kustomize.sh
+
+    - name: Install kubectl
+      run: ./tests/gh-actions/install_kubectl.sh
+
+    - name: Install Istio with external authentication
+      run: ./tests/gh-actions/install_istio_with_ext_auth.sh
+
+    - name: Install cert-manager
+      run: ./tests/gh-actions/install_cert_manager.sh
+
+    - name: Create kubeflow namespace
+      run: kustomize build common/kubeflow-namespace/base | kubectl apply -f -
+
+    - name: Install KF Pipelines
+      run: ./tests/gh-actions/install_pipelines.sh
+
+    - name: Install KF Multi Tenancy
+      run: ./tests/gh-actions/install_multi_tenancy.sh
+
+    - name: Install kubeflow-istio-resources
+      run: kustomize build common/istio-1-22/kubeflow-istio-resources/base | kubectl apply -f -
+
+    - name: Create KF Profile
+      run: kustomize build common/user-namespace/base | kubectl apply -f -
+
+    - name: port forward
+      run: |
+        ingress_gateway_service=$(kubectl get svc --namespace istio-system --selector="app=istio-ingressgateway" --output jsonpath='{.items[0].metadata.name}')
+        nohup kubectl port-forward --namespace istio-system svc/${ingress_gateway_service} 8080:80 &
+        while ! curl localhost:8080; do echo waiting for port-forwarding; sleep 1; done; echo port-forwarding ready
+
+    - name: Wait for the kubeflow-m2m-oidc-configurator Job
+      run: |
+        ./tests/gh-actions/wait_for_kubeflow_m2m_oidc_configurator.sh
+
+    - name: List and deploy test pipeline with authorized ServiceAccount Token
+      run: |
+        pip3 install kfp==2.4.0
+        KF_PROFILE=kubeflow-user-example-com
+        TOKEN="$(kubectl -n $KF_PROFILE create token default-editor)"
+
+        python -c '
+        from time import sleep
+        import kfp
+        import sys
+
+        token = sys.argv[1]
+        namespace = sys.argv[2]
+        client = kfp.Client(host="http://localhost:8080/pipeline", existing_token=token)
+
+        pipeline = client.list_pipelines().pipelines[0]
+        pipeline_name = pipeline.display_name
+        pipeline_id = pipeline.pipeline_id
+        pipeline_version_id = client.list_pipeline_versions(pipeline_id).pipeline_versions[0].pipeline_version_id
+        experiment_id = client.create_experiment("m2m-test", namespace=namespace).experiment_id
+
+        print(f"Starting pipeline {pipeline_name}.")
+        run_id = client.run_pipeline(experiment_id=experiment_id, job_name="m2m-test", pipeline_id=pipeline_id, version_id=pipeline_version_id).run_id
+
+        while True:
+          status = client.get_run(run_id=run_id).state
+          if status in ["PENDING", "RUNNING"]:
+            print(f"Waiting for run_id: {run_id}, status: {status}.")
+            sleep(10)
+          else:
+            print(f"Run with id {run_id} finished with status: {status}.")
+            if status != "SUCCEEDED":
+              print("Pipeline failed")
+              raise SystemExit(1)
+            break
+        ' "${TOKEN}" "${KF_PROFILE}"
+
+    - name: Fail to list pipelines with unauthorized ServiceAccount Token
+      run: |
+        pip3 install kfp==2.4.0
+        KF_PROFILE=kubeflow-user-example-com
+        TOKEN="$(kubectl -n default create token default)"
+
+        python -c '
+        import kfp
+        import sys
+        from kfp_server_api.exceptions import ApiException
+
+        token = sys.argv[1]
+        namespace = sys.argv[2]
+        client = kfp.Client(host="http://localhost:8080/pipeline", existing_token=token)
+
+        try:
+          pipeline = client.list_runs(namespace=namespace)
+        except ApiException as e:
+          assert e.status == 403, "This API Call should return unauthorized/forbidden error."
+        ' "${TOKEN}" "${KF_PROFILE}"
+
+        echo "Test succeeded. Token from unauthorized ServiceAccount cannot list \
+        piplines in $KF_PROFILE namespace."
diff --git a/.github/workflows/ray_test.yaml b/.github/workflows/ray_test.yaml
@@ -11,7 +11,7 @@ jobs:
     steps:
     - name: Checkout
       uses: actions/checkout@v4
-   
+
     - name: Install KinD, Create KinD cluster and Install kustomize
       run: |
         chmod +x tests/gh-actions/install_KinD_create_KinD_cluster_install_kustomize.sh