使用 AWS 代码构建的 Virtualenv python:为什么没有找到停用命令?

Lou*_*ger 7 python virtualenv amazon-web-services python-3.x aws-codebuild

我使用 AWS Codebuild 将 Python 代码从 GitHub 存储库上传到 AWS Lambda。所以我用virtualenv.

这是我的buildspec.yml

version: 0.2
phases:
 install:
   commands:
     - echo "install step"
     - apt-get update
     - apt-get install zip -y
     - apt-get install python3-pip -y
     - pip install --upgrade pip
     - pip install --upgrade awscli
     # Define directories
     - export HOME_DIR=`pwd`
     - cd $HOME_DIR
     - export PREPROCESSING_DIR=$HOME_DIR/preprocessing
     - export COMPARE_DIR=$HOME_DIR/compareHilightGood
     - export NLTK_DATA=$HOME_DIR/nltk_data
 pre_build:
   commands:
     - echo "pre_build step"
     # Configure preprocessing virtual environement
     - cd $PREPROCESSING_DIR
     - virtualenv venv_preprocessing
     - . venv_preprocessing/bin/activate
     #  Install modules
     - pip install -U requests
     - pip install -U nltk
     #  NLTK download
     - python -m nltk.downloader -d $NLTK_DATA wordnet stopwords punkt
     - pip freeze > requirements.txt
     #  zip everything
     - mv $VIRTUAL_ENV/lib/python3.6/site-packages/* .
     - sudo zip -r9 preprocessing.zip .
     - source deactivate
     # Configure compare virtual environement
     - cd $COMPARE_DIR
     - virtualenv venv_compare
     - . venv_compare/bin/activate
     # install modules
     - pip install -U gensim
     - pip install -U pandas
     - pip freeze > requirements.txt
     # zip everything
     - mv $VIRTUAL_ENV/lib/python3.6/site-packages/* .
     - sudo zip -r9 compare.zip .
     - source deactivate
 build:
   commands:
     - echo 'build step'
     # preprocessing
     - cd $PREPROCESSING_DIR
     - aws s3 cp --recursive --acl public-read ./preprocessing.zip s3://lambda-preprocessing/
     - aws lambda update-function-code --function-name arn:aws:lambda:eu-west-3:671560023774:function:preprocessing --s3-bucket lambda-preprocessing --s3-key preprocessing.zip
     - aws lambda update-function-configuration --function-name arn:aws:lambda:eu-west-3:671560023774:function:preprocessing --environment 'Variables={NLTK_DATA=/var/task/nltk_data}'
     # compare
     - cd $COMPARE_DIR
     - aws s3 cp --recursive --acl public-read ./compare.zip s3://lambda-comparehilightgood/
     - aws lambda update-function-code --function-name arn:aws:lambda:eu-west-3:671560023774:function:preprocessing --s3-bucket lambda-comparehilightgood --s3-key compare.zip
 post_build:
   commands:
     - echo "post_build step"
Run Code Online (Sandbox Code Playgroud)

在这pre_build一步中,我在两个 virtualenv 之间切换。所以,我使用deactivate(或source deactivate)。但在这两种情况下,我都会收到此错误:

[Container] 2019/03/17 09:07:54 Running command source deactivate
/codebuild/output/tmp/script.sh: 4: /codebuild/output/tmp/script.sh: source: not found
 [Container] 2019/03/17 09:07:54 Command did not exit successfully source deactivate exit status 127
[Container] 2019/03/17 09:07:54 Phase complete: PRE_BUILD Success: false
[Container] 2019/03/17 09:07:54 Phase context status code: COMMAND_EXECUTION_ERROR Message: Error while executing command: source deactivate. Reason: exit status 127
Run Code Online (Sandbox Code Playgroud)

不管怎样,似乎命令sourcedeactivate没有找到。你知道为什么吗 ?

phd*_*phd 6

deactivate不是可以sourced的脚本,它是在当前shell环境中创建的shell函数. venv/bin/activate。因此,请尝试deactivate不使用source.

至于关于source自身的错误,请注意该命令. venv/bin/activate有效,因此 shell 理解命令.但不理解source.

  • 这意味着 .yml 中的每一行都由一个新的 shell 执行。您必须在`. venv/bin/activate` 和 `deactivate` 在一行中,即一个 shell。 (3认同)