通过Anaconda部署到Heroku

本文介绍了通过Anaconda部署到Heroku的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我有一个要部署到Heroku的Django应用.我尝试按照此处的说明进行操作: devcenter.heroku/articles/getting-started- with-django 告诉您使用虚拟环境.

I have a Django app I want to deploy to Heroku. I tried to follow the instructions here: devcenter.heroku/articles/getting-started-with-django which tells you to use virtual env.

但是，我使用的是Anaconda，它在虚拟环境中表现不佳.有没有人在Heroku上部署了带有Anaconda的Django应用，并且可以引导我完成这些步骤?

However, I'm using Anaconda, which isn't playing nicely with virtual env. Has anyone deployed a Django app with Anaconda to Heroku and can lead me through the steps?

推荐答案

我也遇到了这个问题. 我想部署一个使用numpy，sckit-learn和其他conda软件包的Django应用程序. 我使用了 conda-buildpack ，但是无法从Django内部访问已安装的软件包.因此，我创建了一个扩展PYTHONPATH的叉子，并删除了使用pip install -r requirements.txt安装依赖项的部分，因为该部分与 heroku上的内存缓存冲突. 现在，我有一个多个buildpack设置 使用默认的 heroku python buildpack 和我的自定义condas buildpack分支 requirements.txt由python buildpack处理，而conda-requirements.txt由conda buildpack处理.对我来说就像是一种魅力.

I had this problem too. I wanted to deploy a django app which use numpy, sckit-learn and some other conda packages. I used the conda-buildpack but the installed packages weren't accessible from inside django. So I created a fork which extended the PYTHONPATH and removed the part where dependencies installed withpip install -r requirements.txt because this part clashed with memcached on heroku. Now I have a multiple buildpack setup with the default heroku python buildpack and my custom condas buildpack fork The requirements.txt is processed by the python buildpack and the conda-requirements.txt by the conda buildpack. Works like a charm for me.