variables:
  REPOSITORY_NAME: djdietrick/docs
  DOCKER_HOST: tcp://docker:2375

stages:
  - pages
  - build
  - deploy

image: node:18
pages:
  stage: pages
  pages: true
  cache:
    paths:
      - node_modules/
  script: |
    npm install
    npm run build
    mkdir public
    cp -R ./docs/.vitepress/dist/* ./public
  artifacts:
    paths:
      - public
# build:
#   stage: build
#   image:
#     name: amazon/aws-cli
#     entrypoint: [""]
#   services:
#     - docker:dind
#   before_script:
#     - amazon-linux-extras install docker
#   script: |
#     docker build -t $DOCKER_REGISTRY/$REPOSITORY_NAME:$CI_PIPELINE_ID -t $DOCKER_REGISTRY/$REPOSITORY_NAME:latest .
#     aws ecr get-login-password | docker login --username AWS --password-stdin $DOCKER_REGISTRY
#     docker push $DOCKER_REGISTRY/$REPOSITORY_NAME --all-tags

# variables:
#   SERVICE_NAME: "docs"

# stages:
#   - deploy

# deploy:
#   stage: deploy
#   only:
#    - master # This pipeline stage will run on this branch alone

#   image: google/cloud-sdk:latest # We'll use Google Cloud SDK for Cloud Run related commands
#   script:
#     - echo $GCP_SERVICE_ACCOUNT > gcloud-service-key.json # Save Google cloud contents in a temporary json file
#     - gcloud auth activate-service-account --key-file gcloud-service-key.json # Activate your service account
#     - gcloud auth configure-docker # Configure docker environment
#     - gcloud config set project $GCP_PROJECT_ID #Set the GCP Project ID to the variable name
#     - gcloud builds submit --tag gcr.io/$GCP_PROJECT_ID/$SERVICE_NAME #Run the gcloud build command to build our image
#     - gcloud run deploy $SERVICE_NAME --image gcr.io/$GCP_PROJECT_ID/$SERVICE_NAME --region=us-east4 --platform managed --allow-unauthenticated # Run the gcloud run deploy command to deploy our new service