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‎.github/workflows/python-ec2-adot-sigv4-test.yml‎

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## Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
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## SPDX-License-Identifier: Apache-2.0
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# This is a reusable workflow for running the Python Enablement Canary test for Application Signals.
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# It is meant to be called from another workflow.
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# Read more about reusable workflows: https://docs.github.com/en/actions/using-workflows/reusing-workflows#overview
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name: Python EC2 ADOT SigV4 (Stand-Alone ADOT) Use Case
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on:
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workflow_call:
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inputs:
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caller-workflow-name:
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required: true
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type: string
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python-version:
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description: "Currently support version 3.8, 3.9, 3.10, 3.11, 3.12"
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required: false
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type: string
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default: '3.9'
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cpu-architecture:
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description: "Permitted values: x86_64 or arm64"
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required: false
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type: string
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default: "x86_64"
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staging-wheel-name:
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required: false
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default: 'aws-opentelemetry-distro'
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type: string
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outputs:
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job-started:
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value: ${{ jobs.python-ec2-adot-sigv4.outputs.job-started }}
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validation-result:
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value: ${{ jobs.python-ec2-adot-sigv4.outputs.validation-result }}
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permissions:
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id-token: write
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contents: read
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env:
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E2E_TEST_AWS_REGION: 'us-west-2'
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CALLER_WORKFLOW_NAME: ${{ inputs.caller-workflow-name }}
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PYTHON_VERSION: ${{ inputs.python-version }}
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CPU_ARCHITECTURE: ${{ inputs.cpu-architecture }}
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ADOT_WHEEL_NAME: ${{ inputs.staging-wheel-name }}
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E2E_TEST_ACCOUNT_ID: ${{ secrets.APPLICATION_SIGNALS_E2E_TEST_ACCOUNT_ID }}
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E2E_TEST_ROLE_NAME: ${{ secrets.APPLICATION_SIGNALS_E2E_TEST_ROLE_NAME }}
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METRIC_NAMESPACE: ApplicationSignals
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LOG_GROUP_NAME: aws/spans
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TEST_RESOURCES_FOLDER: ${GITHUB_WORKSPACE}
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jobs:
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python-ec2-adot-sigv4:
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runs-on: ubuntu-latest
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timeout-minutes: 30
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outputs:
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job-started: ${{ steps.job-started.outputs.job-started }}
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validation-result: ${{ steps.validation-result.outputs.validation-result }}
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steps:
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- name: Check if the job started
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id: job-started
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run: echo "job-started=true" >> $GITHUB_OUTPUT
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- uses: actions/checkout@v4
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with:
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repository: 'aws-observability/aws-application-signals-test-framework'
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ref: ${{ inputs.caller-workflow-name == 'main-build' && 'main' || github.ref }}
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fetch-depth: 0
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# We initialize Gradlew Daemon early on during the workflow because sometimes initialization
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# fails due to transient issues. If it fails here, then we will try again later before the validators
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- name: Initiate Gradlew Daemon
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id: initiate-gradlew
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uses: ./.github/workflows/actions/execute_and_retry
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continue-on-error: true
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with:
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command: "./gradlew :validator:build"
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cleanup: "./gradlew clean"
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max_retry: 3
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sleep_time: 60
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- name: Generate testing id
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run: echo TESTING_ID="${{ github.run_id }}-${{ github.run_number }}-${RANDOM}" >> $GITHUB_ENV
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- name: Refresh AWS Credentials
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uses: aws-actions/configure-aws-credentials@v4
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with:
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role-to-assume: arn:aws:iam::${{ env.E2E_TEST_ACCOUNT_ID }}:role/${{ env.E2E_TEST_ROLE_NAME }}
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aws-region: ${{ env.E2E_TEST_AWS_REGION }}
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# if [ "${{ github.event.repository.name }}" = "aws-otel-python-instrumentation" ]; then
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# # Reusing the adot-main-build-staging-jar bucket to store the python wheel file
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# echo GET_ADOT_WHEEL_COMMAND="aws s3 cp s3://adot-main-build-staging-jar/${{ env.ADOT_WHEEL_NAME }} ./${{ env.ADOT_WHEEL_NAME }} && sudo python${{ env.PYTHON_VERSION }} -m pip install ${{ env.ADOT_WHEEL_NAME }}" >> $GITHUB_ENV
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# else
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# latest_release_version=$(curl -sL https://github.com/aws-observability/aws-otel-python-instrumentation/releases/latest | grep -oP '/releases/tag/v\K[0-9]+\.[0-9]+\.[0-9]+' | head -n 1)
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# echo "The latest version is $latest_release_version"
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# echo GET_ADOT_WHEEL_COMMAND="wget -O ${{ env.ADOT_WHEEL_NAME }} https://github.com/aws-observability/aws-otel-python-instrumentation/releases/latest/download/aws_opentelemetry_distro-$latest_release_version-py3-none-any.whl \
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# && sudo python${{ env.PYTHON_VERSION }} -m pip install ${{ env.ADOT_WHEEL_NAME }}" >> $GITHUB_ENV
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# fi
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- name: Set Get ADOT Wheel command environment variable
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run: |
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echo GET_ADOT_WHEEL_COMMAND="aws s3 cp s3://adot-main-build-staging-jar/${{ env.ADOT_WHEEL_NAME }} ./${{ env.ADOT_WHEEL_NAME }} && sudo python${{ env.PYTHON_VERSION }} -m pip install ${{ env.ADOT_WHEEL_NAME }}" >> $GITHUB_ENV
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- name: Set up terraform
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uses: ./.github/workflows/actions/execute_and_retry
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with:
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command: "wget -O- https://apt.releases.hashicorp.com/gpg | sudo gpg --dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg"
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post-command: 'echo "deb [signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/hashicorp.list
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&& sudo apt update && sudo apt install terraform'
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sleep_time: 60
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- name: Initiate Terraform
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uses: ./.github/workflows/actions/execute_and_retry
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with:
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command: "cd ${{ env.TEST_RESOURCES_FOLDER }}/terraform/python/ec2/adot-sigv4 && terraform init && terraform validate"
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cleanup: "rm -rf .terraform && rm -rf .terraform.lock.hcl"
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max_retry: 6
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sleep_time: 60
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- name: Deploy sample app via terraform and wait for endpoint to come online
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working-directory: terraform/python/ec2/adot-sigv4
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run: |
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# Attempt to deploy the sample app on an EC2 instance and wait for its endpoint to come online.
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# There may be occasional failures due to transitivity issues, so try up to 2 times.
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# deployment_failed of 0 indicates that both the terraform deployment and the endpoint are running, while 1 indicates
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# that it failed at some point
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retry_counter=0
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max_retry=2
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while [ $retry_counter -lt $max_retry ]; do
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echo "Attempt $retry_counter"
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deployment_failed=0
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terraform apply -auto-approve \
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-var="aws_region=${{ env.E2E_TEST_AWS_REGION }}" \
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-var="test_id=${{ env.TESTING_ID }}" \
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-var="sample_app_zip=s3://aws-appsignals-sample-app-prod-us-east-1/python-sample-app.zip" \
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-var="get_adot_wheel_command=${{ env.GET_ADOT_WHEEL_COMMAND }}" \
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-var="language_version=${{ env.PYTHON_VERSION }}" \
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-var="cpu_architecture=${{ env.CPU_ARCHITECTURE }}" \
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|| deployment_failed=$?
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if [ $deployment_failed -eq 1 ]; then
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echo "Terraform deployment was unsuccessful. Will attempt to retry deployment."
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fi
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# If the success is 1 then either the terraform deployment or the endpoint connection failed, so first destroy the
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# resources created from terraform and try again.
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if [ $deployment_failed -eq 1 ]; then
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echo "Destroying terraform"
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terraform destroy -auto-approve \
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-var="test_id=${{ env.TESTING_ID }}"
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retry_counter=$(($retry_counter+1))
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else
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# If deployment succeeded, then exit the loop
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break
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fi
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if [ $retry_counter -eq $max_retry ]; then
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echo "Max retry reached, failed to deploy terraform and connect to the endpoint. Exiting code"
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exit 1
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fi
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done
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- name: Get the ec2 instance ami id
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run: |
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echo "EC2_INSTANCE_AMI=$(terraform output ec2_instance_ami)" >> $GITHUB_ENV
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working-directory: terraform/python/ec2/adot-sigv4
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- name: Get the sample app endpoint
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run: |
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echo "MAIN_SERVICE_ENDPOINT=localhost:8000" >> $GITHUB_ENV
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echo "REMOTE_SERVICE_IP=$(terraform output sample_app_remote_service_private_ip)" >> $GITHUB_ENV
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echo "MAIN_SERVICE_INSTANCE_ID=$(terraform output main_service_instance_id)" >> $GITHUB_ENV
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working-directory: terraform/python/ec2/adot-sigv4
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- name: Initiate Gradlew Daemon
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if: steps.initiate-gradlew == 'failure'
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uses: ./.github/workflows/actions/execute_and_retry
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continue-on-error: true
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with:
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command: "./gradlew :validator:build"
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cleanup: "./gradlew clean"
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max_retry: 3
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sleep_time: 60
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- name: Sleep 10 minutes
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run: sleep 600
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# Validation for pulse telemetry data
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# - name: Validate generated EMF logs
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# id: log-validation
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# run: ./gradlew validator:run --args='-c python/ec2/adot-sigv4/log-validation.yml
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# --testing-id ${{ env.TESTING_ID }}
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# --endpoint http://${{ env.MAIN_SERVICE_ENDPOINT }}
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# --remote-service-deployment-name ${{ env.REMOTE_SERVICE_IP }}:8001
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# --region ${{ env.E2E_TEST_AWS_REGION }}
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# --metric-namespace ${{ env.METRIC_NAMESPACE }}
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# --log-group ${{ env.LOG_GROUP_NAME }}
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# --service-name python-sample-application-${{ env.TESTING_ID }}
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# --remote-service-name python-sample-remote-application-${{ env.TESTING_ID }}
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# --query-string ip=${{ env.REMOTE_SERVICE_IP }}&testingId=${{ env.TESTING_ID }}
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# --instance-ami ${{ env.EC2_INSTANCE_AMI }}
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# --instance-id ${{ env.MAIN_SERVICE_INSTANCE_ID }}
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# --rollup'
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# - name: Validate generated metrics
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# id: metric-validation
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# if: (success() || steps.log-validation.outcome == 'failure') && !cancelled()
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# run: ./gradlew validator:run --args='-c python/ec2/adot-sigv4/metric-validation.yml
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# --testing-id ${{ env.TESTING_ID }}
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# --endpoint http://${{ env.MAIN_SERVICE_ENDPOINT }}
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# --remote-service-deployment-name ${{ env.REMOTE_SERVICE_IP }}:8001
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# --region ${{ env.E2E_TEST_AWS_REGION }}
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# --metric-namespace ${{ env.METRIC_NAMESPACE }}
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# --log-group ${{ env.LOG_GROUP_NAME }}
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# --service-name python-sample-application-${{ env.TESTING_ID }}
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# --remote-service-name python-sample-remote-application-${{ env.TESTING_ID }}
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# --query-string ip=${{ env.REMOTE_SERVICE_IP }}
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# --instance-ami ${{ env.EC2_INSTANCE_AMI }}
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# --instance-id ${{ env.MAIN_SERVICE_INSTANCE_ID }}
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# --rollup'
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# - name: Validate generated traces
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# id: trace-validation
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# if: (success() || steps.log-validation.outcome == 'failure' || steps.metric-validation.outcome == 'failure') && !cancelled()
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# run: ./gradlew validator:run --args='-c python/ec2/adot-sigv4/trace-validation.yml
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# --testing-id ${{ env.TESTING_ID }}
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# --endpoint http://${{ env.MAIN_SERVICE_ENDPOINT }}
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# --remote-service-deployment-name ${{ env.REMOTE_SERVICE_IP }}:8001
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# --region ${{ env.E2E_TEST_AWS_REGION }}
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# --account-id ${{ env.ACCOUNT_ID }}
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# --metric-namespace ${{ env.METRIC_NAMESPACE }}
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# --log-group ${{ env.LOG_GROUP_NAME }}
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# --service-name python-sample-application-${{ env.TESTING_ID }}
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# --remote-service-name python-sample-remote-application-${{ env.TESTING_ID }}
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# --query-string ip=${{ env.REMOTE_SERVICE_IP }}&testingId=${{ env.TESTING_ID }}
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# --instance-ami ${{ env.EC2_INSTANCE_AMI }}
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# --instance-id ${{ env.MAIN_SERVICE_INSTANCE_ID }}
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# --rollup'
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- name: Refresh AWS Credentials
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uses: aws-actions/configure-aws-credentials@v4
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with:
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role-to-assume: arn:aws:iam::${{ env.E2E_TEST_ACCOUNT_ID }}:role/${{ env.E2E_TEST_ROLE_NAME }}
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aws-region: ${{ env.E2E_TEST_AWS_REGION }}
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- name: Save test results
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if: always()
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id: validation-result
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run: |
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if [ "${{ steps.log-validation.outcome }}" = "success" ] && [ "${{ steps.metric-validation.outcome }}" = "success" ] && [ "${{ steps.trace-validation.outcome }}" = "success" ]; then
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echo "validation-result=success" >> $GITHUB_OUTPUT
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else
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echo "validation-result=failure" >> $GITHUB_OUTPUT
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fi
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# Clean up Procedures
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- name: Terraform destroy
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if: always()
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continue-on-error: true
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working-directory: terraform/python/ec2/adot-sigv4
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run: |
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terraform destroy -auto-approve \
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-var="test_id=${{ env.TESTING_ID }}"

‎.github/workflows/test.yml‎

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## Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
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## SPDX-License-Identifier: Apache-2.0
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# This is a reusable workflow for running the Enablement test for App Signals.
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# It is meant to be called from another workflow.
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# Read more about reusable workflows: https://docs.github.com/en/actions/using-workflows/reusing-workflows#overview
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name: Test
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on:
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push:
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branches:
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- python-sigv4
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permissions:
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id-token: write
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contents: read
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jobs:
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python-ec2-adot-sigv4:
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uses: ./.github/workflows/python-ec2-adot-sigv4-test.yml
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secrets: inherit
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with:
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caller-workflow-name: 'test'
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staging-wheel-name: 'aws_opentelemetry_distro-0.8.0.dev0-0e902760-py3-none-any.whl' # Temp hardcode

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