Please read the whole Readme file before proceeding!
Prepare a Jenkins instance with one job which will
- Download CPython source code (main branch will suffice)
- Build it
- Gather and present compiler warnings in Jenkins job
- Archive resulting
pythonbinary as an artifact - Measure coverage of the C code, convert results to Cubertura format, and present the report in the Jenkins job (see hints for details)
Keep it simple - don't overcomplicate your solution, use Jenkins as an admin, do not care about security configuration/etc. Keep in mind that the environment must be persistent - do not delete the containers/images/volumes from your PC, we will have a call where we will review your solution!
- A git repository with your solution. It should contain:
- Docker-compose and Dockerfile you used to setup the environment
- Jenkinsfile with pipeline used to complete objectives from the summary
- The repository mentioned above should be avaliable for review - please post it to GitHub/Bitbucket/similar site. Mail the link to your recruiter as soon as possible. Do not use the fork button - this will make your repository visible to other candidates!
- Ability to have a review of your solution on your PC - do not delete the containers/images/volumes from your PC. Apart from reviewing the files, I'd like to see your solution in action, during a call.
- Following articles are your friends :)
- https://devguide.python.org/getting-started/setup-building/#unix
- https://devguide.python.org/testing/coverage/#measuring-coverage-of-c-code-with-gcov-and-lcov
- It seems that you need to run gcovr with following parameters to make it work with CPython code:
--merge-mode-functions=separate --gcov-ignore-parse-errors all - Yes, you'll need to install additional plugins to get everything working, stick to most popular ones
- Partial solution is better than no solution
- Dockerfile and gcovr parameters were provided to you for your convenience!
- Remember about cleaning the workspace :)
Good luck!