Use inputs.test-resource-folder directly. #2
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| ## Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. | |
| ## SPDX-License-Identifier: Apache-2.0 | |
| # This is a reusable workflow for running the E2E test for Application Signals. | |
| # It is meant to be called from another workflow. | |
| # Read more about reusable workflows: https://docs.github.com/en/actions/using-workflows/reusing-workflows#overview | |
| name: Application Signals Enablement E2E Testing - Python EKS | |
| on: | |
| workflow_call: | |
| inputs: | |
| aws-region: | |
| required: true | |
| type: string | |
| test-cluster-name: | |
| required: true | |
| type: string | |
| application-signals-adot-image: | |
| required: false | |
| type: string | |
| application-signals-adot-image-tag: | |
| required: false | |
| type: string | |
| caller-workflow-name: | |
| required: true | |
| type: string | |
| test-resource-folder: | |
| required: true | |
| type: string | |
| permissions: | |
| id-token: write | |
| contents: read | |
| env: | |
| # The precense of this env var is required for use by terraform and AWS CLI commands | |
| # It is not redundant | |
| AWS_DEFAULT_REGION: ${{ inputs.aws-region }} | |
| METRIC_NAMESPACE: AppSignals | |
| LOG_GROUP_NAME: /aws/appsignals/eks | |
| # TEST_RESOURCES_FOLDER: ${{ inputs.test-resource-folder }} | |
| jobs: | |
| python-e2e-eks-test: | |
| runs-on: ubuntu-latest | |
| container: | |
| image: public.ecr.aws/h6o3z5z9/aws-application-signals-test-framework-workflow-container:latest | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| repository: ${{ inputs.caller-workflow-name == 'appsignals-remote-eks-canary-test' && 'aws-observability/aws-application-signals-test-framework' || github.repository }} | |
| ref: ${{ inputs.caller-workflow-name == 'appsignals-remote-eks-canary-test' && 'main' || github.ref }} | |
| fetch-depth: 0 | |
| - name: Download enablement script | |
| uses: ./.github/workflows/actions/execute_and_retry | |
| with: | |
| pre-command: "mkdir enablement-script && cd enablement-script" | |
| command: "wget https://raw.githubusercontent.com/aws-observability/application-signals-demo/main/scripts/eks/appsignals/enable-app-signals.sh | |
| && wget https://raw.githubusercontent.com/aws-observability/application-signals-demo/main/scripts/eks/appsignals/clean-app-signals.sh" | |
| cleanup: "rm -f enable-app-signals.sh && rm -f clean-app-signals.sh" | |
| post-command: "chmod +x enable-app-signals.sh && chmod +x clean-app-signals.sh" | |
| - name: Remove log group deletion command | |
| if: always() | |
| working-directory: enablement-script | |
| run: | | |
| delete_log_group="aws logs delete-log-group --log-group-name '${{ env.LOG_GROUP_NAME }}' --region \$REGION" | |
| sed -i "s#$delete_log_group##g" clean-app-signals.sh | |
| - name: Generate testing id and python sample app namespace | |
| run: | | |
| echo TESTING_ID="${{ inputs.aws-region }}-${{ github.run_id }}-${{ github.run_number }}" >> $GITHUB_ENV | |
| echo PYTHON_SAMPLE_APP_NAMESPACE="ns-${{ github.run_id }}-${{ github.run_number }}" >> $GITHUB_ENV | |
| - name: Configure AWS Credentials | |
| uses: aws-actions/configure-aws-credentials@v4 | |
| with: | |
| role-to-assume: ${{ secrets.E2E_SECRET_TEST_ROLE_ARN }} | |
| aws-region: us-east-1 | |
| - name: Retrieve account | |
| uses: aws-actions/aws-secretsmanager-get-secrets@v1 | |
| with: | |
| secret-ids: | |
| ACCOUNT_ID, region-account/${{ inputs.aws-region }} | |
| # ADOT_E2E_TEST_ROLE_ARN is used to access main build e2e test cluster | |
| # E2E_TEST_ROLE_ARN is used to access canary e2e test cluster | |
| - name: Configure AWS Credentials | |
| uses: aws-actions/configure-aws-credentials@v4 | |
| with: | |
| role-to-assume: arn:aws:iam::${{ env.ACCOUNT_ID }}:role/${{ inputs['caller-workflow-name'] == 'main-build' && secrets.ADOT_E2E_TEST_ROLE_ARN || secrets.E2E_TEST_ROLE_ARN }} | |
| aws-region: ${{ inputs.aws-region }} | |
| - name: Set up kubeconfig | |
| run: aws eks update-kubeconfig --name ${{ inputs.test-cluster-name }} --region ${{ inputs.aws-region }} | |
| - name: Add eksctl to Github Path | |
| run: | | |
| echo "${{ github.workspace }}/eksctl" >> $GITHUB_PATH | |
| - name: Create role for AWS access from the sample app | |
| id: create_service_account | |
| uses: ./.github/workflows/actions/execute_and_retry | |
| with: | |
| command: "eksctl create iamserviceaccount \ | |
| --name service-account-${{ env.TESTING_ID }} \ | |
| --namespace ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} \ | |
| --cluster ${{ inputs.test-cluster-name }} \ | |
| --role-name eks-s3-access-${{ env.TESTING_ID }} \ | |
| --attach-policy-arn arn:aws:iam::aws:policy/AmazonS3ReadOnlyAccess \ | |
| --region ${{ inputs.aws-region }} \ | |
| --approve" | |
| cleanup: "eksctl delete iamserviceaccount \ | |
| --name service-account-${{ env.TESTING_ID }} \ | |
| --namespace ${{ env.SAMPLE_APP_NAMESPACE }} \ | |
| --cluster ${{ inputs.test-cluster-name }} \ | |
| --region ${{ inputs.aws-region }}" | |
| sleep_time: 60 | |
| - name: Initiate Terraform | |
| uses: ${{ inputs.test-resource-folder }}/.github/workflows/actions/execute_and_retry | |
| with: | |
| command: "cd ${GITHUB_WORKSPACE}/terraform/python/eks && terraform init && terraform validate" | |
| cleanup: "rm -rf .terraform && rm -rf .terraform.lock.hcl" | |
| - name: Deploy sample app via terraform and wait for the endpoint to come online | |
| id: deploy-python-app | |
| working-directory: terraform/python/eks | |
| run: | | |
| # Attempt to deploy the sample app on an EKS instance and wait for its endpoint to come online. | |
| # There may be occasional failures due to transitivity issues, so try up to 2 times. | |
| # deployment_failed of 0 indicates that both the terraform deployment and the endpoint are running, while 1 indicates | |
| # that it failed at some point | |
| retry_counter=0 | |
| max_retry=2 | |
| while [ $retry_counter -lt $max_retry ]; do | |
| echo "Attempt $retry_counter" | |
| deployment_failed=0 | |
| terraform apply -auto-approve \ | |
| -var="test_id=${{ env.TESTING_ID }}" \ | |
| -var="aws_region=${{ inputs.aws-region }}" \ | |
| -var="kube_directory_path=${{ github.workspace }}/.kube" \ | |
| -var="eks_cluster_name=${{ inputs.test-cluster-name }}" \ | |
| -var="eks_cluster_context_name=$(kubectl config current-context)" \ | |
| -var="test_namespace=${{ env.PYTHON_SAMPLE_APP_NAMESPACE }}" \ | |
| -var="service_account_aws_access=service-account-${{ env.TESTING_ID }}" \ | |
| -var="python_app_image=${{ env.ACCOUNT_ID }}.dkr.ecr.${{ inputs.aws-region }}.amazonaws.com/${{ secrets.APP_SIGNALS_PYTHON_E2E_FE_SA_IMG }}" \ | |
| -var="python_remote_app_image=${{ env.ACCOUNT_ID }}.dkr.ecr.${{ inputs.aws-region }}.amazonaws.com/${{ secrets.APP_SIGNALS_PYTHON_E2E_RE_SA_IMG }}" \ | |
| || deployment_failed=$? | |
| if [ $deployment_failed -eq 1 ]; then | |
| echo "Terraform deployment was unsuccessful. Will attempt to retry deployment." | |
| fi | |
| # If the deployment_failed is still 0, then the terraform deployment succeeded and now try to connect to the endpoint | |
| # after installing Application Signals. Attempts to connect will be made for up to 10 minutes | |
| if [ $deployment_failed -eq 0 ]; then | |
| echo "Installing application signals to the sample app" | |
| echo "TEST_RESOURCES_FOLDER:" | |
| echo ${{ inputs.test-resource-folder }} | |
| . ${{ inputs.test-resource-folder }}/.github/workflows/util/execute_and_retry.sh | |
| execute_and_retry 3 \ | |
| "${{ inputs.test-resource-folder }}/enablement-script/enable-app-signals.sh \ | |
| ${{ inputs.test-cluster-name }} \ | |
| ${{ inputs.aws-region }} \ | |
| ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }}" \ | |
| "${{ inputs.test-resource-folder }}/enablement-script/clean-app-signals.sh \ | |
| ${{ inputs.test-cluster-name }} \ | |
| ${{ inputs.aws-region }} \ | |
| ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} && \ | |
| aws eks update-kubeconfig --name ${{ inputs.test-cluster-name }} --region ${{ inputs.aws-region }}" \ | |
| 60 | |
| if [ "${{ inputs.caller-workflow-name }}" = "main-build" ]; then | |
| echo "Patching staging adot image for main build:" | |
| execute_and_retry 2 "kubectl patch deploy -namazon-cloudwatch amazon-cloudwatch-observability-controller-manager --type='json' \ | |
| -p='[{"op": \"replace\", \"path\": \"/spec/template/spec/containers/0/args/2\", \"value\": \"--auto-instrumentation-python-image=${{ inputs.application-signals-adot-image }}:${{ inputs.application-signals-adot-image-tag }}\"}]'" | |
| execute_and_retry 2 "kubectl delete pods --all -n amazon-cloudwatch" | |
| execute_and_retry 2 "kubectl wait --for=condition=Ready pod --all -n amazon-cloudwatch" | |
| fi | |
| execute_and_retry 2 "kubectl delete pods --all -n ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }}" "" 60 | |
| execute_and_retry 2 "kubectl wait --for=condition=Ready --request-timeout '5m' pod --all -n ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }}" "" 10 | |
| echo "Attempting to connect to the main sample app endpoint" | |
| python_app_endpoint=http://$(terraform output python_app_endpoint) | |
| attempt_counter=0 | |
| max_attempts=60 | |
| until $(curl --output /dev/null --silent --head --fail $(echo "$python_app_endpoint" | tr -d '"')); do | |
| if [ ${attempt_counter} -eq ${max_attempts} ];then | |
| echo "Failed to connect to endpoint. Will attempt to redeploy sample app." | |
| deployment_failed=1 | |
| break | |
| fi | |
| printf '.' | |
| attempt_counter=$(($attempt_counter+1)) | |
| sleep 10 | |
| done | |
| fi | |
| # If the deployment_failed is 1 then either the terraform deployment or the endpoint connection failed, so first destroy the | |
| # resources created from terraform and try again. | |
| if [ $deployment_failed -eq 1 ]; then | |
| echo "Cleaning up Application Signal" | |
| ${{ inputs.test-resource-folder }}/enablement-script/clean-app-signals.sh \ | |
| ${{ inputs.test-cluster-name }} \ | |
| ${{ inputs.aws-region }} \ | |
| ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} | |
| # Running clean-app-signal.sh removes the current cluster from the config. Update the cluster again for subsequent runs. | |
| aws eks update-kubeconfig --name ${{ inputs.test-cluster-name }} --region ${{ inputs.aws-region }} | |
| echo "Destroying terraform" | |
| terraform destroy -auto-approve \ | |
| -var="test_id=${{ env.TESTING_ID }}" \ | |
| -var="aws_region=${{ inputs.aws-region }}" \ | |
| -var="kube_directory_path=${{ github.workspace }}/.kube" \ | |
| -var="eks_cluster_name=${{ inputs.test-cluster-name }}" \ | |
| -var="eks_cluster_context_name=$(kubectl config current-context)" \ | |
| -var="test_namespace=${{ env.PYTHON_SAMPLE_APP_NAMESPACE }}" \ | |
| -var="service_account_aws_access=service-account-${{ env.TESTING_ID }}" \ | |
| -var="python_app_image=${{ env.ACCOUNT_ID }}.dkr.ecr.${{ inputs.aws-region }}.amazonaws.com/${{ secrets.APP_SIGNALS_PYTHON_E2E_FE_SA_IMG }}" \ | |
| -var="python_remote_app_image=${{ env.ACCOUNT_ID }}.dkr.ecr.${{ inputs.aws-region }}.amazonaws.com/${{ secrets.APP_SIGNALS_PYTHON_E2E_RE_SA_IMG }}" | |
| retry_counter=$(($retry_counter+1)) | |
| else | |
| # If deployment succeeded, then exit the loop | |
| break | |
| fi | |
| if [ $retry_counter -eq $max_retry ]; then | |
| echo "Max retry reached, failed to deploy terraform and connect to the endpoint. Exiting code" | |
| exit 1 | |
| fi | |
| done | |
| - name: Get remote service pod name and IP | |
| run: | | |
| echo "REMOTE_SERVICE_DEPLOYMENT_NAME=$(kubectl get deployments -n ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} --selector=app=remote-app -o jsonpath='{.items[0].metadata.name}')" >> $GITHUB_ENV | |
| echo "REMOTE_SERVICE_POD_IP=$(kubectl get pods -n ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} --selector=app=remote-app -o jsonpath='{.items[0].status.podIP}')" >> $GITHUB_ENV | |
| - name: Verify pod Adot image | |
| run: | | |
| kubectl get pods -n ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} --output json | \ | |
| jq '.items[0].status.initContainerStatuses[0].imageID' | |
| - name: Verify pod CWAgent image | |
| run: | | |
| kubectl get pods -n amazon-cloudwatch --output json | \ | |
| jq '.items[0].status.containerStatuses[0].imageID' | |
| - name: Get the sample app endpoint | |
| run: echo "APP_ENDPOINT=$(terraform output python_app_endpoint)" >> $GITHUB_ENV | |
| working-directory: terraform/python/eks | |
| # This steps increases the speed of the validation by creating the telemetry data in advance | |
| - name: Call all test APIs | |
| continue-on-error: true | |
| run: | | |
| curl -S -s -o /dev/null http://${{ env.APP_ENDPOINT }}/outgoing-http-call | |
| curl -S -s -o /dev/null http://${{ env.APP_ENDPOINT }}/aws-sdk-call | |
| curl -S -s -o /dev/null http://${{ env.APP_ENDPOINT }}/remote-service?ip=${{ env.REMOTE_SERVICE_POD_IP }} | |
| curl -S -s -o /dev/null http://${{ env.APP_ENDPOINT }}/client-call | |
| - name: Initiate Gradlew Daemon | |
| uses: ./.github/workflows/actions/execute_and_retry | |
| with: | |
| command: "./gradlew" | |
| cleanup: "./gradlew clean" | |
| max_retry: 4 | |
| sleep_time: 30 | |
| # Validation for application signals telemetry data | |
| - name: Call endpoint and validate generated EMF logs | |
| id: log-validation | |
| if: steps.deploy-python-app.outcome == 'success' && !cancelled() | |
| run: ./gradlew validator:run --args='-c python/eks/log-validation.yml | |
| --testing-id ${{ env.TESTING_ID }} | |
| --endpoint http://${{ env.APP_ENDPOINT }} | |
| --region ${{ inputs.aws-region }} | |
| --account-id ${{ env.ACCOUNT_ID }} | |
| --metric-namespace ${{ env.METRIC_NAMESPACE }} | |
| --log-group ${{ env.LOG_GROUP_NAME }} | |
| --app-namespace ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} | |
| --platform-info ${{ inputs.test-cluster-name }} | |
| --service-name python-application-${{ env.TESTING_ID }} | |
| --remote-service-deployment-name ${{ env.REMOTE_SERVICE_DEPLOYMENT_NAME }} | |
| --request-body ip=${{ env.REMOTE_SERVICE_POD_IP }} | |
| --rollup' | |
| - name: Call endpoints and validate generated metrics | |
| id: metric-validation | |
| if: (steps.deploy-python-app.outcome == 'success' || steps.log-validation.outcome == 'failure') && !cancelled() | |
| run: ./gradlew validator:run --args='-c python/eks/metric-validation.yml | |
| --testing-id ${{ env.TESTING_ID }} | |
| --endpoint http://${{ env.APP_ENDPOINT }} | |
| --region ${{ inputs.aws-region }} | |
| --account-id ${{ env.ACCOUNT_ID }} | |
| --metric-namespace ${{ env.METRIC_NAMESPACE }} | |
| --log-group ${{ env.LOG_GROUP_NAME }} | |
| --app-namespace ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} | |
| --platform-info ${{ inputs.test-cluster-name }} | |
| --service-name python-application-${{ env.TESTING_ID }} | |
| --remote-service-name python-remote-application-${{ env.TESTING_ID }} | |
| --remote-service-deployment-name ${{ env.REMOTE_SERVICE_DEPLOYMENT_NAME }} | |
| --request-body ip=${{ env.REMOTE_SERVICE_POD_IP }} | |
| --rollup' | |
| - name: Call endpoints and validate generated traces | |
| id: trace-validation | |
| if: (steps.deploy-python-app.outcome == 'success' || steps.log-validation.outcome == 'failure' || steps.metric-validation.outcome == 'failure') && !cancelled() | |
| run: ./gradlew validator:run --args='-c python/eks/trace-validation.yml | |
| --testing-id ${{ env.TESTING_ID }} | |
| --endpoint http://${{ env.APP_ENDPOINT }} | |
| --region ${{ inputs.aws-region }} | |
| --account-id ${{ env.ACCOUNT_ID }} | |
| --metric-namespace ${{ env.METRIC_NAMESPACE }} | |
| --log-group ${{ env.LOG_GROUP_NAME }} | |
| --app-namespace ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} | |
| --platform-info ${{ inputs.test-cluster-name }} | |
| --service-name python-application-${{ env.TESTING_ID }} | |
| --remote-service-deployment-name ${{ env.REMOTE_SERVICE_DEPLOYMENT_NAME }} | |
| --request-body ip=${{ env.REMOTE_SERVICE_POD_IP }} | |
| --rollup' | |
| - name: Publish metric on test result | |
| if: always() | |
| run: | | |
| if [ "${{ steps.log-validation.outcome }}" = "success" ] && [ "${{ steps.metric-validation.outcome }}" = "success" ] && [ "${{ steps.trace-validation.outcome }}" = "success" ]; then | |
| aws cloudwatch put-metric-data --namespace 'ADOT/GitHubActions' \ | |
| --metric-name Failure \ | |
| --dimensions repository=${{ github.repository }},branch=${{ github.ref_name }},workflow=${{ inputs.caller-workflow-name }} \ | |
| --value 0.0 \ | |
| --region ${{ inputs.aws-region }} | |
| else | |
| aws cloudwatch put-metric-data --namespace 'ADOT/GitHubActions' \ | |
| --metric-name Failure \ | |
| --dimensions repository=${{ github.repository }},branch=${{ github.ref_name }},workflow=${{ inputs.caller-workflow-name }} \ | |
| --value 1.0 \ | |
| --region ${{ inputs.aws-region }} | |
| fi | |
| # Clean up Procedures | |
| - name: Clean Up Application Signals | |
| if: always() | |
| continue-on-error: true | |
| working-directory: enablement-script | |
| run: | | |
| ./clean-app-signals.sh \ | |
| ${{ inputs.test-cluster-name }} \ | |
| ${{ inputs.aws-region }} \ | |
| ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} | |
| # This step also deletes lingering resources from previous test runs | |
| - name: Delete all sample app resources | |
| if: always() | |
| continue-on-error: true | |
| timeout-minutes: 10 | |
| run: kubectl delete namespace ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} | |
| - name: Terraform destroy | |
| if: always() | |
| continue-on-error: true | |
| timeout-minutes: 5 | |
| working-directory: terraform/python/eks | |
| run: | | |
| terraform destroy -auto-approve \ | |
| -var="test_id=${{ env.TESTING_ID }}" \ | |
| -var="aws_region=${{ inputs.aws-region }}" \ | |
| -var="kube_directory_path=${{ github.workspace }}/.kube" \ | |
| -var="eks_cluster_name=${{ inputs.test-cluster-name }}" \ | |
| -var="test_namespace=${{ env.PYTHON_SAMPLE_APP_NAMESPACE }}" \ | |
| -var="service_account_aws_access=service-account-${{ env.TESTING_ID }}" \ | |
| -var="python_app_image=${{ env.ACCOUNT_ID }}.dkr.ecr.${{ inputs.aws-region }}.amazonaws.com/${{ secrets.APP_SIGNALS_PYTHON_E2E_FE_SA_IMG }}" \ | |
| -var="python_remote_app_image=${{ env.ACCOUNT_ID }}.dkr.ecr.${{ inputs.aws-region }}.amazonaws.com/${{ secrets.APP_SIGNALS_PYTHON_E2E_RE_SA_IMG }}" | |
| - name: Remove aws access service account | |
| if: always() | |
| continue-on-error: true | |
| run: | | |
| eksctl delete iamserviceaccount \ | |
| --name service-account-${{ env.TESTING_ID }} \ | |
| --namespace ${{ env.PYTHON_SAMPLE_APP_NAMESPACE }} \ | |
| --cluster ${{ inputs.test-cluster-name }} \ | |
| --region ${{ inputs.aws-region }} |