我使用 AWS Codebuild 将 Python 代码从 GitHub 存储库上传到 AWS Lambda。因此,我使用 virtualenv
设置了虚拟 python 环境。
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"
在 pre_build
步骤中,我在两个 virtualenv 之间切换。因此,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
无论如何,似乎没有找到命令source
和deactivate
。你知道为什么吗?
最佳答案
deactivate
不是一个可以source
d 的脚本,它是 在当前shell 环境中创建的一个shell 函数。 venv/bin/激活
。因此,请尝试在不使用 source
的情况下仅使用 deactivate
。
关于source
本身的错误,请注意命令。 venv/bin/activate
工作因此 shell 理解命令 .
但不是 source
.
关于python - 带有 AWS codebuild : why the deactivate command is not found? 的 Virtualenv python,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/55205998/