NeuroJSON_io/bitbucket-pipelines.yml at staging · NeuroJSON/NeuroJSON_io · GitHub

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image: node:lts-alpine

definitions:
  steps:
    - step: &build_and_deploy_to_s3
        name: Build and Deploy to S3
        # Regular steps have 4096 MB of memory in total, large build steps (which you can define using size: 2x) have 8192 MB in total.
        size: 2x
        caches:
          - node
        script:
          - echo $REACT_APP_API_URL
          - yarn install
          - CI=FALSE REACT_APP_API_URL=$REACT_APP_API_URL yarn build --verbose
          - pipe: atlassian/aws-s3-deploy:0.3.8
            variables:
              AWS_ACCESS_KEY_ID: $AWS_ACCESS_KEY_ID
              AWS_SECRET_ACCESS_KEY: $AWS_SECRET_ACCESS_KEY
              AWS_DEFAULT_REGION: $AWS_DEFAULT_REGION
              S3_BUCKET: $S3_BUCKET
              LOCAL_PATH: "build"
              ACL: "private"
          - pipe: atlassian/aws-cloudfront-invalidate:0.1.1
            variables:
              DISTRIBUTION_ID: $DISTRIBUTION_ID
              AWS_SECRET_ACCESS_KEY: $AWS_SECRET_ACCESS_KEY
              AWS_ACCESS_KEY_ID: $AWS_ACCESS_KEY_ID
              AWS_DEFAULT_REGION: $AWS_DEFAULT_REGION
pipelines:
  branches:
    master:
      - step:
          <<: *build_and_deploy_to_s3
          deployment: Production
    staging:
      - step:
          <<: *build_and_deploy_to_s3
          deployment: Staging
  pull-requests:
    "**":
      - step:
          name: "Lint"
          caches:
            - node
          script:
            - yarn install
            #- yarn lint
            # - yarn run test:integration