forked from weldr/lorax
-
Notifications
You must be signed in to change notification settings - Fork 0
Tools for creating images, including the Anaconda boot.iso, live disk images, iso's, and filesystem images.
License
007ws/lorax
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
I am the Lorax. I speak for the trees [and images]. Tree building tools such as pungi and revisor rely on 'buildinstall' in anaconda/scripts/ to produce the boot images and other such control files in the final tree. The existing buildinstall scripts written in a mix of bash and Python are unmaintainable. Lorax is an attempt to replace them with something more flexible. EXISTING WORKFLOW: pungi and other tools call scripts/buildinstall, which in turn call other scripts to do the image building and data generation. Here's how it currently looks: -> buildinstall * process command line options * write temporary yum.conf to point to correct repo * find anaconda release RPM * unpack RPM, pull in those versions of upd-instroot, mk-images, maketreeinfo.py, makestamp.py, and buildinstall -> call upd-instroot -> call maketreeinfo.py -> call mk-images (which figures out which mk-images.ARCH to call) -> call makestamp.py * clean up PROBLEMS: The existing workflow presents some problems with maintaining the scripts. First, almost all knowledge of what goes in to the stage 1 and stage 2 images lives in upd-instroot. The mk-images* scripts copy things from the root created by upd-instroot in order to build the stage 1 image, though it's not completely clear from reading the scripts. NEW IDEAS: Create a new central driver with all information living in Python modules. Configuration files will provide the knowledge previously contained in the upd-instroot and mk-images* scripts. -- David Cantrell <[email protected]>
About
Tools for creating images, including the Anaconda boot.iso, live disk images, iso's, and filesystem images.
Resources
License
Stars
Watchers
Forks
Packages 0
No packages published
Languages
- Python 96.8%
- Limbo 1.7%
- Other 1.5%