0

这是我的 cloudbuild.yaml 文件

- name: 'gcr.io/cloud-builders/docker'
  args: ['build', '-t', 'gcr.io/$PROJECT_ID/$_TRAINER_IMAGE_NAME:$TAG_NAME', '.']
  dir: $_PIPELINE_FOLDER/trainer_image
  
# Build the base image for lightweight components
- name: 'gcr.io/cloud-builders/docker'
  args: ['build', '-t', 'gcr.io/$PROJECT_ID/$_BASE_IMAGE_NAME:$TAG_NAME', '.']
  dir: $_PIPELINE_FOLDER/base_image

# Compile the pipeline
- name: 'gcr.io/$PROJECT_ID/kfp-cli'
  args:
  - '-c'
  - |
    dsl-compile --py $_PIPELINE_DSL --output $_PIPELINE_PACKAGE
  env:
  - 'BASE_IMAGE=gcr.io/$PROJECT_ID/$_BASE_IMAGE_NAME:$TAG_NAME'
  - 'TRAINER_IMAGE=gcr.io/$PROJECT_ID/$_TRAINER_IMAGE_NAME:$TAG_NAME'
  - 'RUNTIME_VERSION=$_RUNTIME_VERSION'
  - 'PYTHON_VERSION=$_PYTHON_VERSION'
  - 'COMPONENT_URL_SEARCH_PREFIX=$_COMPONENT_URL_SEARCH_PREFIX'
  - 'USE_KFP_SA=$_USE_KFP_SA'
  dir: $_PIPELINE_FOLDER/pipeline
  
 # Upload the pipeline
- name: 'gcr.io/$PROJECT_ID/kfp-cli'
  args:
  - '-c'
  - |
    kfp --endpoint $_ENDPOINT pipeline upload -p ${_PIPELINE_NAME}_$TAG_NAME $_PIPELINE_PACKAGE
  dir: $_PIPELINE_FOLDER/pipeline


# Push the images to Container Registry 
images: ['gcr.io/$PROJECT_ID/$_TRAINER_IMAGE_NAME:$TAG_NAME', 'gcr.io/$PROJECT_ID/$_BASE_IMAGE_NAME:$TAG_NAME']

所以基本上我要做的是编写一个包含所有变量的bash脚本，并且在我推送更改时，云构建应该自动触发。

4

2 回答 2

0

您可以在 bash 的管道中添加另一个步骤。像下面的东西。

steps:
  - name: 'bash'
    args: ['echo', 'I am bash']
于 2020-09-07T17:54:41.513 回答
0

您似乎在两个单独的步骤之间拆分了编译和上传。我不是 100% 确定这在 CloudBuild 中有效（我不确定文件是否共享）。

您可能希望结合这些步骤。

于 2020-09-22T06:20:37.370 回答