Updating GHES workflows

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GitHub Actions
2020-05-20 18:39:56 +00:00
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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 a release is created
#
# 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 `ECR_REPOSITORY` in the workflow below with your repository's name.
# Replace the value of `aws-region` 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 values for `service` and `cluster` in the workflow below with your service and cluster names.
#
# 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 `task-definition` in the workflow below with your JSON file's name.
# Replace the value of `container-name` 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.
on:
release:
types: [created]
name: Deploy to Amazon ECS
jobs:
deploy:
name: Deploy
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v2
- 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: us-east-2
- 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 }}
ECR_REPOSITORY: my-ecr-repo
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: task-definition.json
container-name: sample-app
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: sample-app-service
cluster: default
wait-for-service-stability: true
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# This workflow will build and push a node.js application to an Azure Web App when a release is created.
#
# This workflow assumes you have already created the target Azure App Service web app.
# For instructions see https://docs.microsoft.com/azure/app-service/app-service-plan-manage#create-an-app-service-plan
#
# To configure this workflow:
#
# 1. Set up a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE with the value of your Azure publish profile.
# For instructions on obtaining the publish profile see: https://docs.microsoft.com/azure/app-service/deploy-github-actions#configure-the-github-secret
#
# 2. Change the values for the AZURE_WEBAPP_NAME, AZURE_WEBAPP_PACKAGE_PATH and NODE_VERSION environment variables (below).
#
# For more information on GitHub Actions for Azure, refer to https://github.com/Azure/Actions
# For more samples to get started with GitHub Action workflows to deploy to Azure, refer to https://github.com/Azure/actions-workflow-samples
on:
release:
types: [created]
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: '10.x' # set this to the node version to use
jobs:
build-and-deploy:
name: Build and Deploy
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Use Node.js ${{ env.NODE_VERSION }}
uses: actions/setup-node@v1
with:
node-version: ${{ env.NODE_VERSION }}
- name: npm install, build, and test
run: |
# Build and test the project, then
# deploy to Azure Web App.
npm install
npm run build --if-present
npm run test --if-present
- name: 'Deploy to Azure 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 }}
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name: Django CI
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
runs-on: ubuntu-latest
strategy:
max-parallel: 4
matrix:
python-version: [3.6, 3.7, 3.8]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v1
with:
python-version: ${{ matrix.python-version }}
- name: Install Dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
- name: Run Tests
run: |
python manage.py test
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name: Elixir CI
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Setup elixir
uses: actions/setup-elixir@v1
with:
elixir-version: 1.9.4 # Define the elixir version [required]
otp-version: 22.2 # Define the OTP version [required]
- name: Install Dependencies
run: mix deps.get
- name: Run Tests
run: mix test
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name: Ruby Gem
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
name: Build + Publish
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Ruby 2.6
uses: actions/setup-ruby@v1
with:
version: 2.6.x
- name: Publish to GPR
run: |
mkdir -p $HOME/.gem
touch $HOME/.gem/credentials
chmod 0600 $HOME/.gem/credentials
printf -- "---\n:github: Bearer ${GEM_HOST_API_KEY}\n" > $HOME/.gem/credentials
gem build *.gemspec
gem push --KEY github --host https://rubygems.pkg.github.com/${OWNER} *.gem
env:
GEM_HOST_API_KEY: ${{secrets.GPR_AUTH_TOKEN}}
OWNER: username
- name: Publish to RubyGems
run: |
mkdir -p $HOME/.gem
touch $HOME/.gem/credentials
chmod 0600 $HOME/.gem/credentials
printf -- "---\n:rubygems_api_key: ${GEM_HOST_API_KEY}\n" > $HOME/.gem/credentials
gem build *.gemspec
gem push *.gem
env:
GEM_HOST_API_KEY: ${{secrets.RUBYGEMS_AUTH_TOKEN}}
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# This workflow will build a docker container, publish it to Google Container Registry, and deploy it to GKE when a release is created
#
# To configure this workflow:
#
# 1. Ensure that your repository contains the necessary configuration for your Google Kubernetes Engine cluster, including deployment.yml, kustomization.yml, service.yml, etc.
#
# 2. Set up secrets in your workspace: GKE_PROJECT with the name of the project, GKE_EMAIL with the service account email, GKE_KEY with the Base64 encoded JSON service account key (https://github.com/GoogleCloudPlatform/github-actions/tree/docs/service-account-key/setup-gcloud#inputs).
#
# 3. Change the values for the GKE_ZONE, GKE_CLUSTER, IMAGE, REGISTRY_HOSTNAME and DEPLOYMENT_NAME environment variables (below).
name: Build and Deploy to GKE
on:
release:
types: [created]
# Environment variables available to all jobs and steps in this workflow
env:
GKE_PROJECT: ${{ secrets.GKE_PROJECT }}
GKE_EMAIL: ${{ secrets.GKE_EMAIL }}
GITHUB_SHA: ${{ github.sha }}
GKE_ZONE: us-west1-a
GKE_CLUSTER: example-gke-cluster
IMAGE: gke-test
REGISTRY_HOSTNAME: gcr.io
DEPLOYMENT_NAME: gke-test
jobs:
setup-build-publish-deploy:
name: Setup, Build, Publish, and Deploy
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v2
# Setup gcloud CLI
- uses: GoogleCloudPlatform/github-actions/setup-gcloud@master
with:
version: '270.0.0'
service_account_email: ${{ secrets.GKE_EMAIL }}
service_account_key: ${{ secrets.GKE_KEY }}
# Configure docker to use the gcloud command-line tool as a credential helper
- run: |
# Set up docker to authenticate
# via gcloud command-line tool.
gcloud auth configure-docker
# Build the Docker image
- name: Build
run: |
docker build -t "$REGISTRY_HOSTNAME"/"$GKE_PROJECT"/"$IMAGE":"$GITHUB_SHA" \
--build-arg GITHUB_SHA="$GITHUB_SHA" \
--build-arg GITHUB_REF="$GITHUB_REF" .
# Push the Docker image to Google Container Registry
- name: Publish
run: |
docker push $REGISTRY_HOSTNAME/$GKE_PROJECT/$IMAGE:$GITHUB_SHA
# Set up kustomize
- 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
# Deploy the Docker image to the GKE cluster
- name: Deploy
run: |
gcloud container clusters get-credentials $GKE_CLUSTER --zone $GKE_ZONE --project $GKE_PROJECT
./kustomize edit set image $REGISTRY_HOSTNAME/$GKE_PROJECT/$IMAGE:${GITHUB_SHA}
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/$DEPLOYMENT_NAME
kubectl get services -o wide
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name: Haskell CI
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: actions/setup-haskell@v1
with:
ghc-version: '8.8.2'
cabal-version: '3.0'
- name: Cache
uses: actions/cache@v1
env:
cache-name: cache-cabal
with:
path: ~/.cabal
key: ${{ runner.os }}-build-${{ env.cache-name }}-${{ hashFiles('**/*.cabal') }}-${{ hashFiles('**/cabal.project') }}
restore-keys: |
${{ runner.os }}-build-${{ env.cache-name }}-
${{ runner.os }}-build-
${{ runner.os }}-
- name: Install dependencies
run: |
cabal update
cabal build --only-dependencies --enable-tests --enable-benchmarks
- name: Build
run: cabal build --enable-tests --enable-benchmarks all
- name: Run tests
run: cabal test all
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{
"name": "Deploy to Amazon ECS",
"description": "Deploy a container to an Amazon ECS service powered by AWS Fargate or Amazon EC2.",
"iconName": "aws",
"categories": null
}
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{
"name": "Deploy Node.js to Azure Web App",
"description": "Build a Node.js project and deploy it to an Azure Web App.",
"iconName": "azure",
"categories": null
}
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{
"name": "Django",
"description": "Build and Test a Django Project",
"iconName": "django",
"categories": ["Python", "Django"]
}
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{
"name": "Elixir",
"description": "Build and test an Elixir project with Mix.",
"iconName": "elixir",
"categories": ["Elixir", "Erlang"]
}
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{
"name": "Ruby Gem",
"description": "Pushes a Ruby Gem to RubyGems and GitHub Package Registry.",
"iconName": "ruby-gems",
"categories": ["Ruby", "SDLC"]
}
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{
"name": "Build and Deploy to GKE",
"description": "Build a docker container, publish it to Google Container Registry, and deploy to GKE.",
"iconName": "googlegke",
"categories": null
}
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{
"name": "Haskell",
"description": "Build and test a Haskell project with Cabal.",
"iconName": "haskell",
"categories": ["Haskell"]
}
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{
"name": "Python application",
"description": "Create and test a Python application.",
"iconName": "python",
"categories": ["Python"]
}
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{
"name": "Python package",
"description": "Create and test a Python package on multiple Python versions.",
"iconName": "python",
"categories": ["Python"]
}
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{
"name": "Publish Python Package",
"description": "Publish a Python Package to PyPI on release.",
"iconName": "python",
"categories": ["Python"]
}
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{
"name": "Ruby",
"description": "Build and test a Ruby project with Rake.",
"iconName": "ruby",
"categories": ["Ruby"]
}
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{
"name": "Tencent Kubernetes Engine",
"description": "This workflow will build a docker container, publish and deploy it to Tencent Kubernetes Engine (TKE).",
"iconName": "tencentcloud",
"categories": null
}
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{
"name": "Terraform",
"description": "Set up Terraform CLI in your GitHub Actions workflow.",
"iconName": "terraform",
"categories": null
}
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{
"name": "WPF .NET Core",
"description": "Build, test and publish a Wpf application built on .NET Core.",
"iconName": "dotnetcore",
"categories": ["C#", "Visual Basic", "WPF", ".NET"]
}
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# This workflow will install Python dependencies, run tests and lint with a single version of Python
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: Python application
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install flake8 pytest
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
- name: Test with pytest
run: |
pytest
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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: Python package
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.5, 3.6, 3.7, 3.8]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install flake8 pytest
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
- name: Test with pytest
run: |
pytest
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# This workflows will upload a Python Package using Twine when a release is created
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
name: Upload Python Package
on:
release:
types: [created]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.x'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install setuptools wheel twine
- name: Build and publish
env:
TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
run: |
python setup.py sdist bdist_wheel
twine upload dist/*
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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 will download a prebuilt Ruby version, install dependencies and run tests with Rake
# For more information see: https://github.com/marketplace/actions/setup-ruby-jruby-and-truffleruby
name: Ruby
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Ruby
# To automatically get bug fixes and new Ruby versions for ruby/setup-ruby,
# change this to (see https://github.com/ruby/setup-ruby#versioning):
# uses: ruby/setup-ruby@v1
uses: ruby/setup-ruby@ec106b438a1ff6ff109590de34ddc62c540232e0
with:
ruby-version: 2.6
- name: Install dependencies
run: bundle install
- name: Run tests
run: bundle exec rake
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# This workflow will build a docker container, publish and deploy it to Tencent Kubernetes Engine (TKE).
#
# 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:
release:
types: [created]
# 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
jobs:
setup-build-publish-deploy:
name: Setup, Build, Publish, and Deploy
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v2
# 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
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# This workflow installs the latest version of Terraform CLI and configures the Terraform CLI configuration file
# with an API token for Terraform Cloud (app.terraform.io). On pull request events, this workflow will run
# `terraform init`, `terraform fmt`, and `terraform plan` (speculative plan via Terraform Cloud). On push events
# to the master branch, `terraform apply` will be executed.
#
# Documentation for `hashicorp/setup-terraform` is located here: https://github.com/hashicorp/setup-terraform
#
# To use this workflow, you will need to complete the following setup steps.
#
# 1. Create a `main.tf` file in the root of this repository with the `remote` backend and one or more resources defined.
# Example `main.tf`:
# # The configuration for the `remote` backend.
# terraform {
# backend "remote" {
# # The name of your Terraform Cloud organization.
# organization = "example-organization"
#
# # The name of the Terraform Cloud workspace to store Terraform state files in.
# workspaces {
# name = "example-workspace"
# }
# }
# }
#
# # An example resource that does nothing.
# resource "null_resource" "example" {
# triggers = {
# value = "A example resource that does nothing!"
# }
# }
#
#
# 2. Generate a Terraform Cloud user API token and store it as a GitHub secret (e.g. TF_API_TOKEN) on this repository.
# Documentation:
# - https://www.terraform.io/docs/cloud/users-teams-organizations/api-tokens.html
# - https://help.github.com/en/actions/configuring-and-managing-workflows/creating-and-storing-encrypted-secrets
#
# 3. Reference the GitHub secret in step using the `hashicorp/setup-terraform` GitHub Action.
# Example:
# - name: Setup Terraform
# uses: hashicorp/setup-terraform@v1
# with:
# cli_config_credentials_token: ${{ secrets.TF_API_TOKEN }}
name: 'Terraform'
on:
push:
branches:
- master
pull_request:
jobs:
terraform:
name: 'Terraform'
runs-on: ubuntu-latest
# Use the Bash shell regardless whether the GitHub Actions runner is ubuntu-latest, macos-latest, or windows-latest
defaults:
run:
shell: bash
# Checkout the repository to the GitHub Actions runner
steps:
- name: Checkout
uses: actions/checkout@v2
# Install the latest version of Terraform CLI and configure the Terraform CLI configuration file with a Terraform Cloud user API token
- name: Setup Terraform
uses: hashicorp/setup-terraform@v1
with:
cli_config_credentials_token: ${{ secrets.TF_API_TOKEN }}
# Initialize a new or existing Terraform working directory by creating initial files, loading any remote state, downloading modules, etc.
- name: Terraform Init
run: terraform init
# Checks that all Terraform configuration files adhere to a canonical format
- name: Terraform Format
run: terraform fmt -check
# Generates an execution plan for Terraform
- name: Terraform Plan
run: terraform plan
# On push to master, build or change infrastructure according to Terraform configuration files
# Note: It is recommended to set up a required "strict" status check in your repository for "Terraform Cloud". See the documentation on "strict" required status checks for more information: https://help.github.com/en/github/administering-a-repository/types-of-required-status-checks
- name: Terraform Apply
if: github.ref == 'refs/heads/master' && github.event_name == 'push'
run: terraform apply -auto-approve
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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 will build, test and package a WPF desktop application
# built on .NET Core.
# To learn how to migrate your existing WPF application to .NET Core,
# refer to https://docs.microsoft.com/en-us/dotnet/desktop-wpf/migration/convert-project-from-net-framework
#
# To configure this workflow:
#
# 1. Configure environment variables
# GitHub sets default environment variables for every workflow run.
# Replace the variables relative to your project in the "env" section below.
#
# 2. Signing
# Generate a signing certificate in the Windows Application
# Packaging Project or add an existing signing certificate to the project.
# Next, use PowerShell to encode the .pfx file using Base64 encoding
# by running the following Powershell script to generate the output string:
#
# $pfx_cert = Get-Content '.\SigningCertificate.pfx' -Encoding Byte
# [System.Convert]::ToBase64String($pfx_cert) | Out-File 'SigningCertificate_Encoded.txt'
#
# Open the output file, SigningCertificate_Encoded.txt, and copy the
# string inside. Then, add the string to the repo as a GitHub secret
# and name it "Base64_Encoded_Pfx."
# For more information on how to configure your signing certificate for
# this workflow, refer to https://github.com/microsoft/github-actions-for-desktop-apps#signing
#
# Finally, add the signing certificate password to the repo as a secret and name it "Pfx_Key".
# See "Build the Windows Application Packaging project" below to see how the secret is used.
#
# For more information on GitHub Actions, refer to https://github.com/features/actions
# For a complete CI/CD sample to get started with GitHub Action workflows for Desktop Applications,
# refer to https://github.com/microsoft/github-actions-for-desktop-apps
name: WPF .NET Core
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
strategy:
matrix:
configuration: [Debug, Release]
runs-on: windows-latest # For a list of available runner types, refer to
# https://help.github.com/en/actions/reference/workflow-syntax-for-github-actions#jobsjob_idruns-on
env:
Solution_Name: your-solution-name # Replace with your solution name, i.e. MyWpfApp.sln.
Test_Project_Path: your-test-project-path # Replace with the path to your test project, i.e. MyWpfApp.Tests\MyWpfApp.Tests.csproj.
Wap_Project_Directory: your-wap-project-directory-name # Replace with the Wap project directory relative to the solution, i.e. MyWpfApp.Package.
Wap_Project_Path: your-wap-project-path # Replace with the path to your Wap project, i.e. MyWpf.App.Package\MyWpfApp.Package.wapproj.
steps:
- name: Checkout
uses: actions/checkout@v2
with:
fetch-depth: 0
# Install the .NET Core workload
- name: Install .NET Core
uses: actions/setup-dotnet@v1
with:
dotnet-version: 3.1.101
# Add MSBuild to the PATH: https://github.com/microsoft/setup-msbuild
- name: Setup MSBuild.exe
uses: microsoft/setup-msbuild@2008f912f56e61277eefaac6d1888b750582aa16
# Execute all unit tests in the solution
- name: Execute unit tests
run: dotnet test
# Restore the WPF application to populate the obj folder with RuntimeIdentifiers
- name: Restore the WPF application
run: msbuild $env:Solution_Name /t:Restore /p:Configuration=$env:Configuration
env:
Configuration: ${{ matrix.configuration }}
# Decode the base 64 encoded pfx and save the Signing_Certificate
- name: Decode the pfx
run: |
$pfx_cert_byte = [System.Convert]::FromBase64String("${{ secrets.Base64_Encoded_Pfx }}")
$certificatePath = Join-Path -Path $env:Wap_Project_Directory -ChildPath GitHubActionsWorkflow.pfx
[IO.File]::WriteAllBytes("$certificatePath", $pfx_cert_byte)
# Create the app package by building and packaging the Windows Application Packaging project
- name: Create the app package
run: msbuild $env:Wap_Project_Path /p:Configuration=$env:Configuration /p:UapAppxPackageBuildMode=$env:Appx_Package_Build_Mode /p:AppxBundle=$env:Appx_Bundle /p:PackageCertificateKeyFile=GitHubActionsWorkflow.pfx /p:PackageCertificatePassword=${{ secrets.Pfx_Key }}
env:
Appx_Bundle: Always
Appx_Bundle_Platforms: x86|x64
Appx_Package_Build_Mode: StoreUpload
Configuration: ${{ matrix.configuration }}
# Remove the pfx
- name: Remove the pfx
run: Remove-Item -path $env:Wap_Project_Directory\$env:Signing_Certificate
# Upload the MSIX package: https://github.com/marketplace/actions/upload-artifact
- name: Upload build artifacts
uses: actions/upload-artifact@v1
with:
name: MSIX Package
path: ${{ env.Wap_Project_Directory }}\AppPackages