wercker.yml

build:
    box: python:2.7
    steps:

    # Check that our application's tests are passing. Since this is a python2
    # application, our entry script will also install the application's dependencies
    # with Virtualenv -new test version 4/23/2018
    - script:
        name: Nose tests
        code: bin/tests

    # Take our tested application revision and its dependencies, bake it in to a
    # Docker image, and push to GCR.
    - internal/docker-push:
        entrypoint: bin/get_ip
        cmd: 0.0.0.0 8080
        working-dir: $WERCKER_ROOT
        tag: $WERCKER_GIT_COMMIT
        ports: "8080"
        username: $DOCKERHUB_USERNAME
        password: $DOCKERHUB_PASSWORD
        repository: $DOCKERHUB_REPO
        registry: $GCR_HOST

deploy-to-kubernetes:
    box: python:2.7
    steps:

    # https://github.com/wercker/step-bash-template
    # This Wercker step will look for files in our repo with a .template extension.
    # It will expand any environment variables in those files, then remove the
    # template extension.
    - bash-template

    # The step above should leave us with a Kubernetes service and deployment yml files.
    # We'll create a directory to move them to.
    - script:
        name: Prepare Kubernetes files
        code: |
          mkdir $WERCKER_OUTPUT_DIR/kubernetes
          mv kubernetes_*.yml $WERCKER_OUTPUT_DIR/kubernetes

    # Since we're using GKE, we'll use a fork of the kubectl step that supports
    # GKE service account authentication. We need to pass some GKE specific configuration
    # to ensure we can authenticate, then point kubectl at the directory containing our
    # Kubernetes configuration.

    # `apply` is a good command to use here, as it'll create Kubernetes entities if they are missing.
    #- riceo/kubectl:
    #    name: deploy to kubernetes
    #    server: $KUBERNETES_MASTER
    #    gcloud-key-json: $GCP_KEY_JSON
    #    gke-cluster-name: $GKE_CLUSTER_NAME
    #    gke-cluster-zone: $GKE_CLUSTER_ZONE
    #    gke-cluster-project: $GKE_CLUSTER_PROJECT
    #    command: apply -f $WERCKER_OUTPUT_DIR/kubernetes/
    - kubectl:
        name: deploy to kubernetes
        server: $KUBERNETES_MASTER
        token: $KUBERNETES_TOKEN
        insecure-skip-tls-verify: true
        command: apply -f $WERCKER_OUTPUT_DIR/kubernetes/