Bash 脚本到 Conda 安装 requirements.txt 并带有 PIP 跟进
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Bash Script to Conda Install requirements.txt with PIP follow-up
提问by it's-yer-boy-chet
When installing a requirements.txt file for a Django app on a linux server I can run:
在 linux 服务器上为 Django 应用程序安装 requirements.txt 文件时，我可以运行：
conda install --yes --file requirements.txt
This will crash if any of the packages are not available through Conda (PackageNotFoundError). This bash one liner is a cool way to go through the requirements.txt file one line at a time source:
如果任何软件包无法通过 Conda ( PackageNotFoundError)获得，这将崩溃。这个 bash one liner 是一种很酷的方式，可以一次一行地浏览 requirements.txt 文件源：
while read requirement; do conda install --yes $requirement; done < requirements.txt
This installs all of the packages that are available through Conda without crashing on the first missing package. However, what I would like to is track the packages that fail by capturing the output from Conda and if there is a PackageNotFoundErrorthen run pip install on the package.
这将安装通过 Conda 可用的所有软件包，而不会在第一个丢失的软件包上崩溃。但是，我想要的是通过捕获 Conda 的输出来跟踪失败的包，如果有PackageNotFoundError然后在包上运行 pip install。
I'm not great with bash, so hoping someone can suggest a hack. Another solution could be to just write out a new text file called pip-requirements.txtwith the requirements that fail.
我不擅长 bash，所以希望有人可以建议一个 hack。另一种解决方案可能是写出一个新的文本文件pip-requirements.txt，其中包含失败的需求。
采纳答案by it's-yer-boy-chet
Found a solution:
找到了解决办法：
Run this to install with conda or pip if the package is not available to conda:
如果该软件包不可用于 conda，请运行此命令以使用 conda 或 pip 进行安装：
while read requirement; do conda install --yes $requirement || pip install $requirement; done < requirements.txt
Once it's done you can use conda to export the environment yaml:
完成后，您可以使用 conda 导出环境 yaml：
conda env export > environment.yml
回答by nitred
Personally I find the Anaconda environment & package management to be outstanding. So if you're using the condacommand to update your packages in your python environment then I recommend using the environment.ymlfile instead of requirements.txt.
我个人认为 Anaconda 环境和包管理非常出色。因此，如果您使用该conda命令来更新您的 Python 环境中的软件包，那么我建议您使用该environment.yml文件而不是requirements.txt.
The environment.ymlshould looks like the following:
本environment.yml应该如下所示：
name: root # default is root
channels:
- defaults
dependencies: # everything under this, installed by conda
- numpy==1.13.3
- scipy==1.0.0
- pip: # everything under this, installed by pip
- Flask==0.12.2
- gunicorn==19.7.1
The command to install:
安装命令：
conda env update --file environment.yml
Note:
笔记：
Here we set name: rootwhich is the default anaconda environment name. This is not standard practice of how to use the condaand environment.ymlfile. Ideally every python project should have its own environment.ymlfile with a project specific environment name i.e. name: project-name. Please go through https://conda.io/docs/user-guide/tasks/manage-environments.htmlon using Anaconda for package management.
这里我们设置name: root了默认的 anaconda 环境名称。这不是如何使用condaandenvironment.yml文件的标准做法。理想情况下，每个 python 项目都应该有自己的environment.yml文件，其中包含项目特定的环境名称，即name: project-name. 请通过https://conda.io/docs/user-guide/tasks/manage-environments.html了解使用 Anaconda 进行包管理。
回答by phd
Redirect stderr to a file:
将 stderr 重定向到文件：
while read requirement; do conda install --yes $requirement; done < requirements.txt 2>error.log
