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4 changes: 4 additions & 0 deletions .devcontainer/devcontainer.json
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{
"image": "mcr.microsoft.com/devcontainers/universal:2",
"features": {}
}
78 changes: 78 additions & 0 deletions .github/workflows/azure-webapps-node.yml
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# This workflow will build and push a node.js application to an Azure Web App when a commit is pushed to your default branch.
#
# This workflow assumes you have already created the target Azure App Service web app.
# For instructions see https://docs.microsoft.com/en-us/azure/app-service/quickstart-nodejs?tabs=linux&pivots=development-environment-cli
#
# To configure this workflow:
#
# 1. Download the Publish Profile for your Azure Web App. You can download this file from the Overview page of your Web App in the Azure Portal.
# For more information: https://docs.microsoft.com/en-us/azure/app-service/deploy-github-actions?tabs=applevel#generate-deployment-credentials
#
# 2. Create a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE, paste the publish profile contents as the value of the secret.
# For instructions on obtaining the publish profile see: https://docs.microsoft.com/azure/app-service/deploy-github-actions#configure-the-github-secret
#
# 3. Change the value for the AZURE_WEBAPP_NAME. Optionally, change the AZURE_WEBAPP_PACKAGE_PATH and NODE_VERSION environment variables below.
#
# For more information on GitHub Actions for Azure: https://github.com/Azure/Actions
# For more information on the Azure Web Apps Deploy action: https://github.com/Azure/webapps-deploy
# For more samples to get started with GitHub Action workflows to deploy to Azure: https://github.com/Azure/actions-workflow-samples

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

env:
AZURE_WEBAPP_NAME: your-app-name # set this to your application's name
AZURE_WEBAPP_PACKAGE_PATH: '.' # set this to the path to your web app project, defaults to the repository root
NODE_VERSION: '20.x' # set this to the node version to use

permissions:
contents: read

jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4

- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: ${{ env.NODE_VERSION }}
cache: 'npm'

- name: npm install, build, and test
run: |
npm install
npm run build --if-present
npm run test --if-present

- name: Upload artifact for deployment job
uses: actions/upload-artifact@v4
with:
name: node-app
path: .

deploy:
permissions:
contents: none
runs-on: ubuntu-latest
needs: build
environment:
name: 'Development'
url: ${{ steps.deploy-to-webapp.outputs.webapp-url }}

steps:
- name: Download artifact from build job
uses: actions/download-artifact@v4
with:
name: node-app

- name: 'Deploy to Azure WebApp'
id: deploy-to-webapp
uses: azure/webapps-deploy@v2
with:
app-name: ${{ env.AZURE_WEBAPP_NAME }}
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
package: ${{ env.AZURE_WEBAPP_PACKAGE_PATH }}
99 changes: 99 additions & 0 deletions .github/workflows/codeql.yml
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# For most projects, this workflow file will not need changing; you simply need
# to commit it to your repository.
#
# You may wish to alter this file to override the set of languages analyzed,
# or to provide custom queries or build logic.
#
# ******** NOTE ********
# We have attempted to detect the languages in your repository. Please check
# the `language` matrix defined below to confirm you have the correct set of
# supported CodeQL languages.
#
name: "CodeQL Advanced"

on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
schedule:
- cron: '31 20 * * 5'

jobs:
analyze:
name: Analyze (${{ matrix.language }})
# Runner size impacts CodeQL analysis time. To learn more, please see:
# - https://gh.io/recommended-hardware-resources-for-running-codeql
# - https://gh.io/supported-runners-and-hardware-resources
# - https://gh.io/using-larger-runners (GitHub.com only)
# Consider using larger runners or machines with greater resources for possible analysis time improvements.
runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}
permissions:
# required for all workflows
security-events: write

# required to fetch internal or private CodeQL packs
packages: read

# only required for workflows in private repositories
actions: read
contents: read

strategy:
fail-fast: false
matrix:
include:
- language: actions
build-mode: none
# CodeQL supports the following values keywords for 'language': 'actions', 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'rust', 'swift'
# Use `c-cpp` to analyze code written in C, C++ or both
# Use 'java-kotlin' to analyze code written in Java, Kotlin or both
# Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both
# To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,
# see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.
# If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how
# your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
steps:
- name: Checkout repository
uses: actions/checkout@v4

# Add any setup steps before running the `github/codeql-action/init` action.
# This includes steps like installing compilers or runtimes (`actions/setup-node`
# or others). This is typically only required for manual builds.
# - name: Setup runtime (example)
# uses: actions/setup-example@v1

# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@v4
with:
languages: ${{ matrix.language }}
build-mode: ${{ matrix.build-mode }}
# If you wish to specify custom queries, you can do so here or in a config file.
# By default, queries listed here will override any specified in a config file.
# Prefix the list here with "+" to use these queries and those in the config file.

# For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
# queries: security-extended,security-and-quality

# If the analyze step fails for one of the languages you are analyzing with
# "We were unable to automatically build your code", modify the matrix above
# to set the build mode to "manual" for that language. Then modify this step
# to build your code.
# ℹ️ Command-line programs to run using the OS shell.
# 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
- name: Run manual build steps
if: matrix.build-mode == 'manual'
shell: bash
run: |
echo 'If you are using a "manual" build mode for one or more of the' \
'languages you are analyzing, replace this with the commands to build' \
'your code, for example:'
echo ' make bootstrap'
echo ' make release'
exit 1

- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@v4
with:
category: "/language:${{matrix.language}}"
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
116 changes: 116 additions & 0 deletions .github/workflows/google.yml
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# This workflow will build a docker container, publish it to Google Container
# Registry, and deploy it to GKE when there is a push to the "main"
# branch.
#
# To configure this workflow:
#
# 1. Enable the following Google Cloud APIs:
#
# - Artifact Registry (artifactregistry.googleapis.com)
# - Google Kubernetes Engine (container.googleapis.com)
# - IAM Credentials API (iamcredentials.googleapis.com)
#
# You can learn more about enabling APIs at
# https://support.google.com/googleapi/answer/6158841.
#
# 2. Ensure that your repository contains the necessary configuration for your
# Google Kubernetes Engine cluster, including deployment.yml,
# kustomization.yml, service.yml, etc.
#
# 3. Create and configure a Workload Identity Provider for GitHub:
# https://github.com/google-github-actions/auth#preferred-direct-workload-identity-federation.
#
# Depending on how you authenticate, you will need to grant an IAM principal
# permissions on Google Cloud:
#
# - Artifact Registry Administrator (roles/artifactregistry.admin)
# - Kubernetes Engine Developer (roles/container.developer)
#
# You can learn more about setting IAM permissions at
# https://cloud.google.com/iam/docs/manage-access-other-resources
#
# 5. Change the values in the "env" block to match your values.

name: 'Build and Deploy to GKE'

on:
push:
branches:
- '"main"'

env:
PROJECT_ID: 'my-project' # TODO: update to your Google Cloud project ID
GAR_LOCATION: 'us-central1' # TODO: update to your region
GKE_CLUSTER: 'cluster-1' # TODO: update to your cluster name
GKE_ZONE: 'us-central1-c' # TODO: update to your cluster zone
DEPLOYMENT_NAME: 'gke-test' # TODO: update to your deployment name
REPOSITORY: 'samples' # TODO: update to your Artifact Registry docker repository name
IMAGE: 'static-site'
WORKLOAD_IDENTITY_PROVIDER: 'projects/123456789/locations/global/workloadIdentityPools/my-pool/providers/my-provider' # TODO: update to your workload identity provider

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

permissions:
contents: 'read'
id-token: 'write'

steps:
- name: 'Checkout'
uses: 'actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332' # actions/checkout@v4

# Configure Workload Identity Federation and generate an access token.
#
# See https://github.com/google-github-actions/auth for more options,
# including authenticating via a JSON credentials file.
- id: 'auth'
name: 'Authenticate to Google Cloud'
uses: 'google-github-actions/auth@f112390a2df9932162083945e46d439060d66ec2' # google-github-actions/auth@v2
with:
workload_identity_provider: '${{ env.WORKLOAD_IDENTITY_PROVIDER }}'

# Authenticate Docker to Google Cloud Artifact Registry
- name: 'Docker Auth'
uses: 'docker/login-action@9780b0c442fbb1117ed29e0efdff1e18412f7567' # docker/login-action@v3
with:
username: 'oauth2accesstoken'
password: '${{ steps.auth.outputs.auth_token }}'
registry: '${{ env.GAR_LOCATION }}-docker.pkg.dev'

# Get the GKE credentials so we can deploy to the cluster
- name: 'Set up GKE credentials'
uses: 'google-github-actions/get-gke-credentials@6051de21ad50fbb1767bc93c11357a49082ad116' # google-github-actions/get-gke-credentials@v2
with:
cluster_name: '${{ env.GKE_CLUSTER }}'
location: '${{ env.GKE_ZONE }}'

# Build the Docker image
- name: 'Build and push Docker container'
run: |-
DOCKER_TAG="${GAR_LOCATION}-docker.pkg.dev/${PROJECT_ID}/${REPOSITORY}/${IMAGE}:${GITHUB_SHA}"

docker build \
--tag "${DOCKER_TAG}" \
--build-arg GITHUB_SHA="${GITHUB_SHA}" \
--build-arg GITHUB_REF="${GITHUB_REF}" \
.

docker push "${DOCKER_TAG}"

# Set up kustomize
- name: 'Set up Kustomize'
run: |-
curl -sfLo kustomize https://github.com/kubernetes-sigs/kustomize/releases/download/kustomize%2Fv5.4.3/kustomize_v5.4.3_linux_amd64.tar.gz
chmod u+x ./kustomize

# Deploy the Docker image to the GKE cluster
- name: 'Deploy to GKE'
run: |-
# replacing the image name in the k8s template
./kustomize edit set image LOCATION-docker.pkg.dev/PROJECT_ID/REPOSITORY/IMAGE:TAG=$GAR_LOCATION-docker.pkg.dev/$PROJECT_ID/$REPOSITORY/$IMAGE:$GITHUB_SHA
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/$DEPLOYMENT_NAME
kubectl get services -o wide
20 changes: 20 additions & 0 deletions .github/workflows/jekyll-docker.yml
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name: Jekyll site CI

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

jobs:
build:

runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v4
- name: Build the site in the jekyll/builder container
run: |
docker run \
-v ${{ github.workspace }}:/srv/jekyll -v ${{ github.workspace }}/_site:/srv/jekyll/_site \
jekyll/builder:latest /bin/bash -c "chmod -R 777 /srv/jekyll && jekyll build --future"
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