Initial commit

.circleci/config.yml

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+version: 2.1
+orbs:
+  node: circleci/[email protected]
+workflows:
+  node-tests:
+    jobs:
+      - node/test

.deepsource.toml

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+version = 1
+
+[[analyzers]]
+name = "python"
+enabled = true
+
+  [analyzers.meta]
+  runtime_version = "3.x.x"
+
+[[analyzers]]
+name = "test-coverage"
+enabled = true
+
+[[analyzers]]
+name = "docker"
+enabled = true
+
+[[analyzers]]
+name = "javascript"
+enabled = true
+
+  [analyzers.meta]
+  plugins = [
+    "react",
+    "meteor",
+    "vue",
+    "angularjs",
+    "ember",
+    "angular"
+  ]
+
+[[analyzers]]
+name = "shell"
+enabled = true
+
+[[analyzers]]
+name = "java"
+enabled = true
+
+  [analyzers.meta]
+  runtime_version = "14"

.github/workflows/alibabacloud.yml

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+# This workflow will build and push a new container image to Alibaba Cloud Container Registry (ACR),
+# and then will deploy it to Alibaba Cloud Container Service for Kubernetes (ACK), when there is a push to the master branch.
+#
+# To use this workflow, you will need to complete the following set-up steps:
+#
+# 1. Create an ACR repository to store your container images. 
+#    You can use ACR EE instance for more security and better performance.
+#    For instructions see https://www.alibabacloud.com/help/doc-detail/142168.htm
+#
+# 2. Create an ACK cluster to run your containerized application.
+#    You can use ACK Pro cluster for more security and better performance.
+#    For instructions see https://www.alibabacloud.com/help/doc-detail/95108.htm
+#
+# 3. Store your AccessKey pair in GitHub Actions secrets named `ACCESS_KEY_ID` and `ACCESS_KEY_SECRET`.
+#    For instructions on setting up secrets see: https://developer.github.com/actions/managing-workflows/storing-secrets/
+#
+# 4. Change the values for the REGION_ID, REGISTRY, NAMESPACE, IMAGE, ACK_CLUSTER_ID, and ACK_DEPLOYMENT_NAME. 
+#
+
+name: Build and Deploy to ACK
+
+on:
+  push:
+    branches:
+      - master
+
+# Environment variables available to all jobs and steps in this workflow.
+env:
+  REGION_ID: cn-hangzhou
+  REGISTRY: registry.cn-hangzhou.aliyuncs.com
+  NAMESPACE: namespace
+  IMAGE: repo
+  TAG: ${{ github.sha }}
+  ACK_CLUSTER_ID: clusterID
+  ACK_DEPLOYMENT_NAME: nginx-deployment
+
+  ACR_EE_REGISTRY: myregistry.cn-hangzhou.cr.aliyuncs.com
+  ACR_EE_INSTANCE_ID: instanceID
+  ACR_EE_NAMESPACE: namespace
+  ACR_EE_IMAGE: repo
+  ACR_EE_TAG: ${{ github.sha }}
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v3
+
+    # 1.1 Login to ACR   
+    - name: Login to ACR with the AccessKey pair
+      uses: aliyun/acr-login@v1
+      with:
+        region-id: "${{ env.REGION_ID }}"
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+
+    # 1.2 Buid and push image to ACR   
+    - name: Build and push image to ACR  
+      run: |
+        docker build --tag "$REGISTRY/$NAMESPACE/$IMAGE:$TAG" .  
+        docker push "$REGISTRY/$NAMESPACE/$IMAGE:$TAG"   
+ 
+    # 1.3 Scan image in ACR   
+    - name: Scan image in ACR
+      uses: aliyun/acr-scan@v1
+      with:
+        region-id: "${{ env.REGION_ID }}"
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+        repository: "${{ env.NAMESPACE }}/${{ env.IMAGE }}"
+        tag: "${{ env.TAG }}"
+
+    # 2.1 (Optional) Login to ACR EE          
+    - uses: actions/checkout@v3
+    - name: Login to ACR EE with the AccessKey pair
+      uses: aliyun/acr-login@v1
+      with:
+        login-server: "https://${{ env.ACR_EE_REGISTRY }}"
+        region-id: "${{ env.REGION_ID }}"
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+        instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"
+
+    # 2.2 (Optional) Build and push image ACR EE          
+    - name: Build and push image to ACR EE  
+      run: |
+        docker build -t "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG" .
+        docker push "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG"
+    # 2.3 (Optional) Scan image in ACR EE          
+    - name: Scan image in ACR EE
+      uses: aliyun/acr-scan@v1
+      with:
+        region-id: "${{ env.REGION_ID }}"
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+        instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"
+        repository: "${{ env.ACR_EE_NAMESPACE}}/${{ env.ACR_EE_IMAGE }}"
+        tag: "${{ env.ACR_EE_TAG }}"
+
+    # 3.1 Set ACK context         
+    - name: Set K8s context
+      uses: aliyun/ack-set-context@v1
+      with:
+        access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
+        access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
+        cluster-id: "${{ env.ACK_CLUSTER_ID }}"
+
+    # 3.2 Deploy the image to the ACK cluster
+    - name: Set up Kustomize
+      run: |-
+        curl -s "https://raw.githubusercontent.com/kubernetes-sigs/kustomize/master/hack/install_kustomize.sh"  | bash /dev/stdin 3.8.6
+    - name: Deploy
+      run: |-
+        ./kustomize edit set image REGISTRY/NAMESPACE/IMAGE:TAG=$REGISTRY/$NAMESPACE/$IMAGE:$TAG
+        ./kustomize build . | kubectl apply -f -
+        kubectl rollout status deployment/$ACK_DEPLOYMENT_NAME
+        kubectl get services -o wide

.github/workflows/anchore.yml

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+# This workflow uses actions that are not certified by GitHub.
+# They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support
+# documentation.
+
+# This workflow checks out code, builds an image, performs a container image
+# vulnerability scan with Anchore's Grype tool, and integrates the results with GitHub Advanced Security
+# code scanning feature.  For more information on the Anchore scan action usage
+# and parameters, see https://github.com/anchore/scan-action. For more
+# information on Anchore's container image scanning tool Grype, see
+# https://github.com/anchore/grype
+name: Anchore Container Scan
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    # The branches below must be a subset of the branches above
+    branches: [ master ]
+  schedule:
+    - cron: '22 9 * * 2'
+
+permissions:
+  contents: read
+
+jobs:
+  Anchore-Build-Scan:
+    permissions:
+      contents: read # for actions/checkout to fetch code
+      security-events: write # for github/codeql-action/upload-sarif to upload SARIF results
+    runs-on: ubuntu-latest
+    steps:
+    - name: Checkout the code
+      uses: actions/checkout@v3
+    - name: Build the Docker image
+      run: docker build . --file Dockerfile --tag localbuild/testimage:latest
+    - name: Run the Anchore scan action itself with GitHub Advanced Security code scanning integration enabled
+      uses: anchore/scan-action@487706fd9fc531f35bd6fc1edcdbae6bb79870fa
+      with:
+        image: "localbuild/testimage:latest"
+        acs-report-enable: true
+    - name: Upload Anchore Scan Report
+      uses: github/codeql-action/upload-sarif@v2
+      with:
+        sarif_file: results.sarif

.github/workflows/apisec-scan.yml

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+# This workflow uses actions that are not certified by GitHub.
+# They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support
+# documentation.
+
+# APIsec addresses the critical need to secure APIs before they reach production. 
+# APIsec provides the industry’s only automated and continuous API testing platform that uncovers security vulnerabilities and logic flaws in APIs. 
+# Clients rely on APIsec to evaluate every update and release, ensuring that no APIs go to production with vulnerabilities.
+
+# How to Get Started with APIsec.ai
+# 1. Schedule a demo at https://www.apisec.ai/request-a-demo .
+#
+# 2. Register your account at https://cloud.fxlabs.io/#/signup .
+#
+# 3. Register your API . See the video (https://www.youtube.com/watch?v=MK3Xo9Dbvac) to get up and running with APIsec quickly.
+#
+# 4. Get GitHub Actions scan attributes from APIsec Project -> Configurations -> Integrations -> CI-CD -> GitHub Actions
+#
+# apisec-run-scan
+#
+# This action triggers the on-demand scans for projects registered in APIsec.
+# If your GitHub account allows code scanning alerts, you can then upload the sarif file generated by this action to show the scan findings.
+# Else you can view the scan results from the project home page in APIsec Platform.
+# The link to view the scan results is also displayed on the console on successful completion of action.
+
+# This is a starter workflow to help you get started with APIsec-Scan Actions
+
+name: APIsec
+
+# Controls when the workflow will run
+on:
+  # Triggers the workflow on push or pull request events but only for the master branch
+  # Customize trigger events based on your DevSecOps processes.
+  push:
+    branches: [ master ]
+  pull_request:
+    branches: [ master ]
+  schedule:
+    - cron: '32 17 * * 5'
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+
+permissions:
+  contents: read
+
+jobs:
+  Trigger APIsec scan:
+    permissions:
+      security-events: write # for github/codeql-action/upload-sarif to upload SARIF results
+    runs-on: ubuntu-latest
+
+    steps:
+       - name: APIsec scan
+         uses: apisec-inc/apisec-run-scan@eadaedebb5b8516971299b64cea226dc9d9edb6c
+         with:
+          # The APIsec username with which the scans will be executed
+          apisec-username: ${{ secrets.apisec_username }}
+          # The Password of the APIsec user with which the scans will be executed
+          apisec-password: ${{ secrets.apisec_password}}
+          # The name of the project for security scan
+          apisec-project: "VAmPI"
+          # The name of the sarif format result file The file is written only if this property is provided.
+          sarif-result-file: "apisec-results.sarif"
+       - name: Import results
+         uses: github/codeql-action/upload-sarif@v2
+         with:
+          sarif_file: ./apisec-results.sarif

.github/workflows/aws.yml

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+# This workflow will build and push a new container image to Amazon ECR,
+# and then will deploy a new task definition to Amazon ECS, when there is a push to the master branch.
+#
+# To use this workflow, you will need to complete the following set-up steps:
+#
+# 1. Create an ECR repository to store your images.
+#    For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
+#    Replace the value of the `ECR_REPOSITORY` environment variable in the workflow below with your repository's name.
+#    Replace the value of the `AWS_REGION` environment variable in the workflow below with your repository's region.
+#
+# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
+#    For example, follow the Getting Started guide on the ECS console:
+#      https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
+#    Replace the value of the `ECS_SERVICE` environment variable in the workflow below with the name you set for the Amazon ECS service.
+#    Replace the value of the `ECS_CLUSTER` environment variable in the workflow below with the name you set for the cluster.
+#
+# 3. Store your ECS task definition as a JSON file in your repository.
+#    The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
+#    Replace the value of the `ECS_TASK_DEFINITION` environment variable in the workflow below with the path to the JSON file.
+#    Replace the value of the `CONTAINER_NAME` environment variable in the workflow below with the name of the container
+#    in the `containerDefinitions` section of the task definition.
+#
+# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
+#    See the documentation for each action used below for the recommended IAM policies for this IAM user,
+#    and best practices on handling the access key credentials.
+
+name: Deploy to Amazon ECS
+
+on:
+  push:
+    branches:
+      - master
+
+env:
+  AWS_REGION: MY_AWS_REGION                   # set this to your preferred AWS region, e.g. us-west-1
+  ECR_REPOSITORY: MY_ECR_REPOSITORY           # set this to your Amazon ECR repository name
+  ECS_SERVICE: MY_ECS_SERVICE                 # set this to your Amazon ECS service name
+  ECS_CLUSTER: MY_ECS_CLUSTER                 # set this to your Amazon ECS cluster name
+  ECS_TASK_DEFINITION: MY_ECS_TASK_DEFINITION # set this to the path to your Amazon ECS task definition
+                                               # file, e.g. .aws/task-definition.json
+  CONTAINER_NAME: MY_CONTAINER_NAME           # set this to the name of the container in the
+                                               # containerDefinitions section of your task definition
+
+permissions:
+  contents: read
+
+jobs:
+  deploy:
+    name: Deploy
+    runs-on: ubuntu-latest
+    environment: production
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v3
+
+    - name: Configure AWS credentials
+      uses: aws-actions/configure-aws-credentials@v2
+      with:
+        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+        aws-region: ${{ env.AWS_REGION }}
+
+    - name: Login to Amazon ECR
+      id: login-ecr
+      uses: aws-actions/amazon-ecr-login@v1
+
+    - name: Build, tag, and push image to Amazon ECR
+      id: build-image
+      env:
+        ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
+        IMAGE_TAG: ${{ github.sha }}
+      run: |
+        # Build a docker container and
+        # push it to ECR so that it can
+        # be deployed to ECS.
+        docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
+        docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
+        echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
+
+    - name: Fill in the new image ID in the Amazon ECS task definition
+      id: task-def
+      uses: aws-actions/amazon-ecs-render-task-definition@v1
+      with:
+        task-definition: ${{ env.ECS_TASK_DEFINITION }}
+        container-name: ${{ env.CONTAINER_NAME }}
+        image: ${{ steps.build-image.outputs.image }}
+
+    - name: Deploy Amazon ECS task definition
+      uses: aws-actions/amazon-ecs-deploy-task-definition@v1
+      with:
+        task-definition: ${{ steps.task-def.outputs.task-definition }}
+        service: ${{ env.ECS_SERVICE }}
+        cluster: ${{ env.ECS_CLUSTER }}
+        wait-for-service-stability: true