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66 changes: 66 additions & 0 deletions .github/workflows/generator-generic-ossf-slsa3-publish.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 lets you generate SLSA provenance file for your project.
# The generation satisfies level 3 for the provenance requirements - see https://slsa.dev/spec/v0.1/requirements
# The project is an initiative of the OpenSSF (openssf.org) and is developed at
# https://github.com/slsa-framework/slsa-github-generator.
# The provenance file can be verified using https://github.com/slsa-framework/slsa-verifier.
# For more information about SLSA and how it improves the supply-chain, visit slsa.dev.

name: SLSA generic generator
on:
workflow_dispatch:
release:
types: [created]

jobs:
build:
runs-on: ubuntu-latest
outputs:
digests: ${{ steps.hash.outputs.digests }}

steps:
- uses: actions/checkout@v4

# ========================================================
#
# Step 1: Build your artifacts.
#
# ========================================================
- name: Build artifacts
run: |
# These are some amazing artifacts.
echo "artifact1" > artifact1
echo "artifact2" > artifact2
# ========================================================
#
# Step 2: Add a step to generate the provenance subjects
# as shown below. Update the sha256 sum arguments
# to include all binaries that you generate
# provenance for.
#
# ========================================================
- name: Generate subject for provenance
id: hash
run: |
set -euo pipefail
# List the artifacts the provenance will refer to.
files=$(ls artifact*)
# Generate the subjects (base64 encoded).
echo "hashes=$(sha256sum $files | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
needs: [build]
permissions:
actions: read # To read the workflow path.
id-token: write # To sign the provenance.
contents: write # To add assets to a release.
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v1.4.0
with:
base64-subjects: "${{ needs.build.outputs.digests }}"
upload-assets: true # Optional: Upload to a new release
33 changes: 33 additions & 0 deletions .github/workflows/npm-publish.yml
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# This workflow will run tests using node and then publish a package to GitHub Packages when a release is created
# For more information see: https://docs.github.com/en/actions/publishing-packages/publishing-nodejs-packages

name: Node.js Package

on:
release:
types: [created]

jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
- run: npm ci
- run: npm test

publish-npm:
needs: build
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
registry-url: https://registry.npmjs.org/
- run: npm ci
- run: npm publish
env:
NODE_AUTH_TOKEN: ${{secrets.npm_token}}
79 changes: 79 additions & 0 deletions .github/workflows/tencent.yml
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# This workflow will build a docker container, publish and deploy it to Tencent Kubernetes Engine (TKE) when there is a push to the "main" branch.
#
# To configure this workflow:
#
# 1. Ensure that your repository contains the necessary configuration for your Tencent Kubernetes Engine cluster,
# including deployment.yml, kustomization.yml, service.yml, etc.
#
# 2. Set up secrets in your workspace:
# - TENCENT_CLOUD_SECRET_ID with Tencent Cloud secret id
# - TENCENT_CLOUD_SECRET_KEY with Tencent Cloud secret key
# - TENCENT_CLOUD_ACCOUNT_ID with Tencent Cloud account id
# - TKE_REGISTRY_PASSWORD with TKE registry password
#
# 3. Change the values for the TKE_IMAGE_URL, TKE_REGION, TKE_CLUSTER_ID and DEPLOYMENT_NAME environment variables (below).

name: Tencent Kubernetes Engine

on:
push:
branches: [ "main" ]

# Environment variables available to all jobs and steps in this workflow
env:
TKE_IMAGE_URL: ccr.ccs.tencentyun.com/demo/mywebapp
TKE_REGION: ap-guangzhou
TKE_CLUSTER_ID: cls-mywebapp
DEPLOYMENT_NAME: tke-test

permissions:
contents: read

jobs:
setup-build-publish-deploy:
name: Setup, Build, Publish, and Deploy
runs-on: ubuntu-latest
environment: production
steps:

- name: Checkout
uses: actions/checkout@v4

# Build
- name: Build Docker image
run: |
docker build -t ${TKE_IMAGE_URL}:${GITHUB_SHA} .

- name: Login TKE Registry
run: |
docker login -u ${{ secrets.TENCENT_CLOUD_ACCOUNT_ID }} -p '${{ secrets.TKE_REGISTRY_PASSWORD }}' ${TKE_IMAGE_URL}

# Push the Docker image to TKE Registry
- name: Publish
run: |
docker push ${TKE_IMAGE_URL}:${GITHUB_SHA}

- name: Set up Kustomize
run: |
curl -o kustomize --location https://github.com/kubernetes-sigs/kustomize/releases/download/v3.1.0/kustomize_3.1.0_linux_amd64
chmod u+x ./kustomize

- name: Set up ~/.kube/config for connecting TKE cluster
uses: TencentCloud/tke-cluster-credential-action@v1
with:
secret_id: ${{ secrets.TENCENT_CLOUD_SECRET_ID }}
secret_key: ${{ secrets.TENCENT_CLOUD_SECRET_KEY }}
tke_region: ${{ env.TKE_REGION }}
cluster_id: ${{ env.TKE_CLUSTER_ID }}

- name: Switch to TKE context
run: |
kubectl config use-context ${TKE_CLUSTER_ID}-context-default

# Deploy the Docker image to the TKE cluster
- name: Deploy
run: |
./kustomize edit set image ${TKE_IMAGE_URL}:${GITHUB_SHA}
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/${DEPLOYMENT_NAME}
kubectl get services -o wide