在Google Cloud上为Python中的依赖项注入添加本地存储库 [英] Adding a local repository for dependency injection in python on google cloud

问题描述

我正在尝试在Google Cloud上部署Python应用程序.在应用程序中，我有一个本地可用的依赖项.因此，要使用pip将其添加到项目中.我使用pip install -r requirements.txt --find-links PATH_TO_DEPENDENCY.这样一切都可以在本地正常工作.但是，当我使用gcloud app deploy将其部署到Google Cloud上时，它会内部调用pip install -r requirements.txt，因此未安装本地依赖项，并且代码失败.

I am trying to deploy a Python app on Google Cloud. In the app I have a dependency that is actually locally available. So to add it in project using pip. I use pip install -r requirements.txt --find-links PATH_TO_DEPENDENCY. Everything works fine this way on local. But when I deploy it on Google Cloud using gcloud app deploy it internally calls the pip install -r requirements.txt due to which the local dependency is not installed and the code fails.

是否有办法修改gcloud使用的内部命令，还是有办法告诉服务器从某处使用该依赖项?

Is there a way to modify the internal command the gcloud uses or a way to tell the server to use that dependency from somewhere?

推荐答案

尝试的一种方法是使用虚拟环境，并pip freeze捕获应用程序的所有要求，包括依赖关系:

One option to try would be to use a virtual environment and pip freeze to capture all requirements for your app, including their dependencies:

• 拉出一个新的虚拟环境，并使用pip freeze > requirements.1.txt
快照初始包内容
• 使用本地调用来安装所有需求及其依赖项，然后使用pip freeze > requirements.2.txt
获取新快照
• 构建一个新的requirements.txt，其中包含requirements.2.txt中存在但requirements.1.txt中缺少的所有软件包(即来自原始requirements.txt或依赖项的软件包)

• pull a fresh virtual environment and snapshot the initial package content with pip freeze > requirements.1.txt
• use your local invocation to install all the requirements and their dependencies, then get a new snapshot with pip freeze > requirements.2.txt
• build a new requirements.txt containing all packages present in requirements.2.txt but missing in requirements.1.txt (i.e. either from the original requirements.txt or a dependency)

然后将这个新的requirements.txt用于您的应用，应该在部署pip install -r requirements.txt期间提取所有依赖项.

Then use this new requirements.txt for your app, which should pull all dependencies during the deployment pip install -r requirements.txt.

另一个选项，有些乏味，但可用于无法通过pip安装的依赖项，它是根据相应的Google提供的docker镜像构建自定义运行时，在其中添加其他非python依赖项您的应用程序要求.来自关于自定义运行时间:

Another option, a bit more tedious but which can be used for dependencies not installable via pip, would be to build a custom runtime based on the corresponding google-supplied docker image in which you add the additional non-python dependencies your app require. From About Custom Runtimes:

自定义运行时允许您定义新的运行时环境，其中可能包括语言解释程序或应用程序服务器之类的其他组件.

Custom runtimes allow you to define new runtime environments, which might include additional components like language interpreters or application servers.

另请参见构建自定义运行时.

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