在gitlab-ci中使用輪子以避免長時間編譯

Question

在我的gitlab-ci.yml中，我使用pandas scikit和scipy測試了一些代碼。 建設/管道大部分時間是花費編譯numpy，scipy，...

我可以創建一個輪子，並使用ADD來複制和點子安裝一個已經制作的輪子嗎？

我requet了最新版本的pip ::

$ cat requirements/base.txt 
pip>=8.1.2 
setuptools>=20.7.0 
wheel>=0.29 
numpy 
scipy 
scikit-learn 

這裏我.gitlab-ci和用途不同，每次花費很多：

$ cat .gitlab-ci 

image : python:2 

test: 
    script: 
    - apt-get update -qy 
    - apt-get install -y python-dev python-pip python-virtualenv 
    - pip install -r requirements/base.txt 
    - ... 

想在這裏回答了@ EV-BR gitlab -ci管道輸出，你可以看到熊貓不是作爲一個輪子，而是pandas-0.19.1.tar.gz。：

$ pip install -r requirements.txt --cache-dir=/cache 
Requirement already satisfied: pip>=9 in /usr/local/lib/python3.6/site-packages (from -r requirements.txt (line 1)) 
Requirement already satisfied: setuptools>=26 in /usr/local/lib/python3.6/site-packages (from -r requirements.txt (line 2)) 
Collecting wheel>=0.29 (from -r requirements.txt (line 3)) 
    Using cached wheel-0.29.0-py2.py3-none-any.whl 
Collecting setuptools_scm (from -r requirements.txt (line 4)) 
    Using cached setuptools_scm-1.15.0-py2.py3-none-any.whl 
Collecting setuptools_scm_git_archive (from -r requirements.txt (line 5)) 
    Using cached setuptools_scm_git_archive-1.0-py2.py3-none-any.whl 
Collecting pandas==0.19.1 (from -r requirements.txt (line 6)) 
    Downloading pandas-0.19.1.tar.gz (8.4MB) 
Collecting python-dateutil>=2 (from pandas==0.19.1->-r requirements.txt (line 6)) 
    Using cached python_dateutil-2.6.0-py2.py3-none-any.whl 

Answer 1

如果你的點數在最近足夠多（版本8或更高的IIRC），你可能只需要使用manulinux自動車輪就可以通過pip install numpy和scipy。在配置項上嘗試使用pip install --upgrade pip或類似項。