Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
The table of contents is too big for display.
Diff view
Diff view
  •  
  •  
  •  
101 changes: 101 additions & 0 deletions .github/workflows/codeql.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,101 @@
# 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: '43 5 * * 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
- language: javascript-typescript
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}}"
42 changes: 42 additions & 0 deletions .github/workflows/deno.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
# 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 install Deno then run `deno lint` and `deno test`.
# For more information see: https://github.com/denoland/setup-deno

name: Deno

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

permissions:
contents: read

jobs:
test:
runs-on: ubuntu-latest

steps:
- name: Setup repo
uses: actions/checkout@v4

- name: Setup Deno
# uses: denoland/setup-deno@v1
uses: denoland/setup-deno@61fe2df320078202e33d7d5ad347e7dcfa0e8f31 # v1.1.2
with:
deno-version: v1.x

# Uncomment this step to verify the use of 'deno fmt' on each commit.
# - name: Verify formatting
# run: deno fmt --check

- name: Run linter
run: deno lint

- name: Run tests
run: deno test -A
116 changes: 116 additions & 0 deletions .github/workflows/google.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,116 @@
# 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
22 changes: 22 additions & 0 deletions .github/workflows/label.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,22 @@
# This workflow will triage pull requests and apply a label based on the
# paths that are modified in the pull request.
#
# To use this workflow, you will need to set up a .github/labeler.yml
# file with configuration. For more information, see:
# https://github.com/actions/labeler

name: Labeler
on: [pull_request_target]

jobs:
label:

runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write

steps:
- uses: actions/labeler@v4
with:
repo-token: "${{ secrets.GITHUB_TOKEN }}"
93 changes: 93 additions & 0 deletions .github/workflows/terraform.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,93 @@
# 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 "main" 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: [ "main" ]
pull_request:

permissions:
contents: read

jobs:
terraform:
name: 'Terraform'
runs-on: ubuntu-latest
environment: production

# Use the Bash shell regardless whether the GitHub Actions runner is ubuntu-latest, macos-latest, or windows-latest
defaults:
run:
shell: bash

steps:
# Checkout the repository to the GitHub Actions runner
- name: Checkout
uses: actions/checkout@v4

# 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 -input=false

# On push to "main", 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/"main"' && github.event_name == 'push'
run: terraform apply -auto-approve -input=false
Loading
Loading