mirror of
https://gitlab.kitware.com/vtk/vtk-m
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To simplify reproducing docker based CI workers locally, VTK-m has python program that handles all the work automatically for you. The program is located in `[Utilities/CI/reproduce_ci_env.py ]` and requires python3 and pyyaml. To use the program is really easy! The following two commands will create the `build:rhel8` gitlab-ci worker as a docker image and setup a container just as how gitlab-ci would be before the actual compilation of VTK-m. Instead of doing the compilation, instead you will be given an interactive shell. ``` ./reproduce_ci_env.py create rhel8 ./reproduce_ci_env.py run rhel8 ``` To compile VTK-m from the the interactive shell you would do the following: ``` > src]# cd build/ > build]# cmake --build . ```
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#How to setup machine to use CI scripts#
#OSX and Unix#
Requirements
- Docker
- Python3 -- PyYAML
The CI scripts require python3 and the PyYAML package.
Generally the best way to setup this environment is to create a python virtual env so you don't pollute your system. This means getting pip the python package manager, and virtual env which allow for isolation of a projects python dependencies.
sudo easy_install pip
sudo pip install virtualenv
Next we need to create a new virtual env of python. I personally
like to setup this in vtkm/Utilities/CI/env.
mkdir env
virtualenv env
Now all we have to do is setup the requirements:
./env/bin/pip install -r requirements.txt