通过Anaconda部署到Heroku [英] Deploying to Heroku with Anaconda

查看:105
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: https://devcenter.heroku.com/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: https://devcenter.heroku.com/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

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.

这篇关于通过Anaconda部署到Heroku的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆