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Question

我正在尝试使用 circleci 将示例应用程序部署到使用 google cloudrun 的 gke。我在 google 云中创建了一个集群，想构建一个镜像并将其部署到容器中。如果我手动操作，它会完美运行。但是我想建立一个自动化的 CI/CD 管道，因此使用 CircleCI 来完成它。

暂时跳过测试和代码覆盖部分，我想为 gke 部署构建一个管道

这是 circleci 的 config.yaml 文件。我正在尝试使用已经可用的认证球体，因为从头开始创建一个球体需要更长的时间

version: 2.1
orbs:
  gcp-gcr: circleci/gcp-gcr@0.6.1

  cloudrun: circleci/gcp-cloud-run@1.0.2
executors:
  node-executor:
    docker:
      - image: node:12.8.1-stretch
  gcloud-executor:
    docker:
      - image: google/cloud-sdk
  machine-executor:
    machine: true
jobs:
  build:
    description: initial build
    executor: machine-executor
    steps:
      - checkout


  build_push_image_cloud_run_mangaged:
    executor: node-executor
    steps:
      - checkout
      - setup_remote_docker:
          docker_layer_caching: false

      - run:
          name: Prepare env vars
          command: |
            echo 'export PATH=~$PATH:~/.local/bin' >> $BASH_ENV
            echo 'export GOOGLE_PROJECT_ID=$GCLOUD_PROJECT' >> $BASH_ENV
            echo 'export GOOGLE_COMPUTE_ZONE=us-east1-b' >> BASH_ENV
            echo ${GCP_PROJECT_KEY} > ${HOME}/gcloud-service-key.json
            echo 'export GOOGLE_CLOUD_KEYS=$(cat $HOME/gcloud-service-key.json)' >> $BASH_ENV
            echo 'export TAG=${CIRCLE_SHA1}' >> $BASH_ENV
            echo 'export IMAGE_NAME=$CIRCLE_PROJECT_REPONAME' >> $BASH_ENV && source $BASH_ENV


      - gcp-gcr/gcr-auth:
          gcloud-service-key: GOOGLE_CLOUD_KEYS # this is throwing error
          google-project-id: GOOGLE_PROJECT_ID
          google-compute-zone: GOOGLE_COMPUTE_ZONE
      - gcp-gcr/build-image:
          dockerfile: Dockerfile
          google-project-id: GOOGLE_PROJECT_ID
          image: $IMAGE_NAME
          registry-url: "gcr.io"
          tag: $CIRCLE_SHA1
      - gcp-gcr/push-image:
          google-project-id: GOOGLE_PROJECT_ID
          image: $IMAGE_NAME
          registry-url: "gcr.io"
          tag: $CIRCLE_SHA1
      - cloudrun/init:
          gcloud-service-key: GCLOUD_SERVICE_KEY
          google-project-id: GOOGLE_PROJECT_ID
          google-compute-zone: GOOGLE_COMPUTE_ZONE
      - cloudrun/deploy:
          cluster: "new-cluster"
          cluster-location: "us-east1-b"
          platform: "gke"
          image: "gcr.io/$GOOGLE_PROJECT_ID/$IMAGE_NAME"
          service-name: "orb-gcp-cloud-run"

workflows:
  build_gcloud_deploy:
    jobs:
      - build

      - build_push_image_cloud_run_mangaged:
          requires:
            - build

我在项目设置中使用 GCLOUD_SERVICE_KEY 和 GCP_PROJECT_KEY 设置了环境变量，它们都具有我的服务帐户 json 文件的编码版本。我还分别设置了 GOOGLE_PROJECT_ID & GOOGLE_COMPUTE_ZONE 环境值。现在，当我触发构建以进行检查时（配置 webhook 以执行成功的签入 - 稍后将修改以成功合并），它总是在步骤中出错：初始化 gcloud

#!/bin/bash -eo pipefail
# Store service account
echo $GOOGLE_CLOUD_KEYS > ${HOME}/gcloud-service-key.json
# Initialize gcloud CLI
gcloud auth activate-service-account --key-file=${HOME}/gcloud-service-key.json
gcloud --quiet config set project $GOOGLE_PROJECT_ID
gcloud --quiet config set compute/zone $GOOGLE_COMPUTE_ZONE
ERROR: (gcloud.auth.activate-service-account) Could not read json file /root/gcloud-service-key.json: No JSON object could be decoded
Exited with code exit status 1
CircleCI received exit code 1

我尝试使用我在 circleci 步骤中的 gcloud-service-key.json 变量中设置的 GOOGLE_CLOUD_KEYS env var，但这也会导致相同的错误。我还尝试指定一个 env 变量，该变量具有 json 文件的实际值（未解码），但这也会导致相同的错误。如您所见，我使用了 orb: gcp-gcr: circleci/gcp-gcr@0.6.1 。你能告诉我错误的原因以及如何纠正吗？

编辑：

正如 Ahmet 正确指出的那样，问题在于文件不包含任何数据。我进行了更改，以便为项目创建一个环境变量 GCLOUD_SERVICE_KEY 并直接访问它而无需编码（这不是推荐的方法，因为最好对其进行编码然后存储密钥）。

Answer 1

正如@AhmetB-Google 所指出的，问题在于服务密钥没有正确加载到 tne 环境变量中。所以我做了这样的改变。始终建议对其进行编码并将其添加到环境变量中。所以在项目设置中我有一个名为 -GCLOUD_SERVICE_KEY 的键，这是我的 circleci 配置

version: 2.1
orbs:
  gcp-gcr: circleci/gcp-gcr@0.6.1
  cloudrun: circleci/gcp-cloud-run@1.0.1
  gcp-gke: circleci/gcp-gke@0.2.0
executors:

  gcloud-executor:
    docker:
      - image: google/cloud-sdk
  machine-executor:
    machine: true
jobs:
  build:
    description: initial build -  Can make use of test coverage and tests
    executor: machine-executor
    steps:
      - checkout
      - run:
          name: Test the source
          command: |
            echo "test"
      - run:
          name: Coverage report
          command: |
            echo "npm coverage"

  build_push_image_gcr:
    description: Build docker image and push to gcr registry
    executor: machine-executor
    steps:
      - checkout
      - run:
          name: Prepare env vars
          command: |
            echo $GCLOUD_SERVICE_KEY > base64 --decode --ignore-garbage > ${HOME}/gcloud-service-key.json
            echo $GCP_PROJECT_KEY > ./gcloud-service-key.json
            cat ./gcloud-service-key.json
            cat ${HOME}/gcloud-service-key.json
            export $GCP_SERVICE_KEY=cat(${HOME}/gcloud-service-key.json)
            pwd


      - gcp-gcr/gcr-auth:
          gcloud-service-key: GCLOUD_SERVICE_KEY
          google-project-id: GOOGLE_PROJECT_ID
          google-compute-zone: GOOGLE_COMPUTE_ZONE

      - gcp-gcr/build-image:
          dockerfile: Dockerfile
          google-project-id: GOOGLE_PROJECT_ID
          image: $IMAGE_NAME
          registry-url: "gcr.io"
          tag: $CIRCLE_SHA1
      - gcp-gcr/push-image:
          google-project-id: GOOGLE_PROJECT_ID
          image: $IMAGE_NAME
          registry-url: "gcr.io"
          tag: $CIRCLE_SHA1

  gcp_cloudrun_deploy:
    description: Deploy using cloud run
    executor: machine-executor
    steps:
      - cloudrun/init
      - cloudrun/deploy:
          cluster: 'new-cluster'
          cluster-location: us-east1-b
          platform: 'gke'
          image: 'gcr.io/$GOOGLE_PROJECT_ID/$IMAGE_NAME:$CIRCLE_SHA1'
          service-name: 'feedback-ui-service'


workflows:
  build_gcloud_deploy:
    jobs:
      - build

      - build_push_image_gcr:
          requires:
            - build
      - gcp_cloudrun_deploy:
          requires:
            - build_push_image_gcr

CircleCi - 使用云部署到 GKE 运行

CircleCi - Deploy to GKE using cloud run

gcloud

google-kubernetes-engine

google-container-registry

google-cloud-run