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122 changes: 122 additions & 0 deletions .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 "main" 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: [ "main" ]

# 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@v4

# 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 Build 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@v4
- 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
26 changes: 26 additions & 0 deletions .github/workflows/android.yml
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name: Android CI

on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]

jobs:
build:

runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v4
- name: set up JDK 11
uses: actions/setup-java@v4
with:
java-version: '11'
distribution: 'temurin'
cache: gradle

- name: Grant execute permission for gradlew
run: chmod +x gradlew
- name: Build with Gradle
run: ./gradlew build
25 changes: 25 additions & 0 deletions .github/workflows/ant.yml
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# This workflow will build a Java project with Ant
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-java-with-ant

name: Java CI

on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]

jobs:
build:

runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v4
- name: Set up JDK 11
uses: actions/setup-java@v4
with:
java-version: '11'
distribution: 'temurin'
- name: Build with Ant
run: ant -noinput -buildfile build.xml
71 changes: 71 additions & 0 deletions .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.apisec.ai/#/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 "main" branch
# Customize trigger events based on your DevSecOps processes.
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
schedule:
- cron: '15 11 * * 6'

# 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
actions: read # only required for a private repository by github/codeql-action/upload-sarif to get the Action run status
runs-on: ubuntu-latest

steps:
- name: APIsec scan
uses: apisec-inc/apisec-run-scan@025432089674a28ba8fb55f8ab06c10215e772ea
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@v3
with:
sarif_file: ./apisec-results.sarif
54 changes: 54 additions & 0 deletions .github/workflows/appknox.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.
#
# Appknox: Leader in Mobile Application Security Testing Solutions <https://www.appknox.com/>
#
# To use this workflow, you must be an existing Appknox customer with GitHub Advanced Security (GHAS) enabled for your
# repository.
#
# If you *are not* an existing customer, click here to contact us for licensing and pricing details:
# <https://www.appknox.com/free-trial>.
#
# Instructions:
#
# 1. In your repository settings, navigate to 'Secrets' and click on 'New repository secret.' Name the
# secret APPKNOX_ACCESS_TOKEN and paste your appknox user token into the value field. If you don't have a appknox token
# or need to generate a new one for GitHub, visit the Appknox Platform, go to Account Settings->Developer Settings
# and create a token labeled GitHub
#
# 2. Refer to the detailed workflow below, make any required adjustments, and then save it to your repository. After the
# action executes, check the 'Security' tab for results

name: Appknox

on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
jobs:
appknox:
runs-on: ubuntu-latest
steps:
- name: Checkout Code
uses: actions/checkout@v4

- name: Grant execute permission for gradlew
run: chmod +x gradlew

- name: Build the app
run: ./gradlew build # Update this to build your Android or iOS application

- name: Appknox GitHub action
uses: appknox/appknox-github-action@b7d2bfb2321d5544e97bffcba48557234ab953a4
with:
appknox_access_token: ${{ secrets.APPKNOX_ACCESS_TOKEN }}
file_path: app/build/outputs/apk/debug/app-debug.apk # Specify the path to your .ipa or .apk here
risk_threshold: MEDIUM # Update this to desired risk threshold [LOW, MEDIUM, HIGH, CRITICAL]
sarif: Enable

- name: Upload SARIF to GHAS
if: always()
uses: github/codeql-action/upload-sarif@v3
with:
sarif_file: report.sarif
94 changes: 94 additions & 0 deletions .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 "main" 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: [ "main" ]

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@v4

- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v1
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:$IMAGE_TAG
echo "image=$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" >> $GITHUB_OUTPUT

- 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
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