toolkit/iso/empanadas
Louis Abel 18ecf1a8ac
Build empanada images for imagefactory / buildx (push) Failing after 4s Details
Build empanada container images for lorax / buildx (push) Successful in 2s Details
fix debug repo format
2024-05-21 16:55:01 -07:00
..
empanadas fix debug repo format 2024-05-21 16:55:01 -07:00
images Build a container to run the builds in 2022-06-20 18:01:08 -04:00
tests Bump to version 0.5.0 for next phase of dev 2022-10-10 11:58:42 -07:00
.gitignore Build azure images, too 2022-07-08 17:29:32 -04:00
Containerfile Fixup container files 2022-07-04 21:17:02 -04:00
Containerfile.imagefactory Checkout kickstarts on every run, instead of when building the image 2022-10-11 11:55:39 -04:00
README.md BugFix: Fix profile validity checking 2022-10-20 15:27:30 -07:00
build-container.sh Build a container to run the builds in 2022-06-20 18:01:08 -04:00
imagefactory.patch Various image building changes 2022-07-08 13:30:15 -04:00
oz.rpm Various image building changes 2022-07-08 13:30:15 -04:00
poetry.lock update poetry.lock again 2024-05-21 13:25:32 -07:00
prep-azure.sh Build azure images, too 2022-07-08 17:29:32 -04:00
pyproject.toml update to 3.9 2024-05-21 13:24:49 -07:00

README.md

iso

Setup / Install

  1. Install Poetry
  2. Setup: poetry install
  3. Install dependencies: dnf install podman mock
  4. Have fun

Deeper documenation can be found at the SIG/Core Wiki.

Reliance on podman and mock

Why podman?

Podman is a requirement for performing reposyncs. This was done because it was found to be easier to spin up several podman containers than several mock chroots and it was faster than doing one at a time in a loop. Podman is also used to parallelize ISO builds.

Why mock?

There are cases where running mock is the preferred go-to: For example, building lorax images. Since you cannot build a lorax image for an architecture your system does not support, trying to "parallelize" it was out of the question. Adding this support in was not only for local testing without podman, it was also done so it can be run in our peridot kube cluster for each architecture.

Updating dependencies

Dependencies can be manipulated via the pyproject.toml file or with the poetry add/remove commands.

Changes to the poetry.lock should be commited if dependencies are added or updated.

TODO

  • Verbose mode should exist to output everything that's being called or ran.
  • There should be additional logging regardless, not just to stdout, but also to a file.

scripts

* sync_from_peridot    -> Syncs repositories from Peridot
* sync_sig             -> Syncs SIG repositories from Peridot
* build-iso            -> Builds initial ISO's using Lorax
* build-iso-extra      -> Builds DVD's and other images based on Lorax data
* build-iso-live       -> Builds live images
* pull-unpack-tree     -> Pulls the latest lorax data from an S3 bucket and configures treeinfo
* pull-cloud-image     -> Pulls the latest cloud images from an S3 bucket
* finalize_compose     -> Finalizes a compose with metadata and checksums, as well as copies images
* launch-builds        -> Creates a kube config to run build-iso
* build-image          -> Runs build-iso
* generate_compose     -> Creates a compose directory right away and optionally links it as latest
                          (You should only use this if you are running into errors with images)
* peridot_repoclosure  -> Runs repoclosure against a peridot instance

wrappers

* common               -> The starting point
* iso_utils            -> Does work for ISO building and generation
* dnf_utils            -> Does work for repo building and generation
* check                -> Checks if the architecture/release combination are valid
* shared               -> Shared utilities between all wrappers

rules

imports

When making a script, you must import common. This is insanely bad practice, but we would prefer if we started out this way:

import argparse
from empanadas.common import *
from empanadas.util import Checks

Whatever is imported in common will effectively be imported in your scripts as well, but there is nothing stopping you from defining them again, even out of habit. argparse is there because you better have a very, very good reason to not be writing scripts that are major version specific.

If you are writing something that could be arch specific based on the major version (which is likely), make sure to import the util module and use it arch checker appropriately. Small (but weak) example.

from util import Checks

rlvars = rldict['9']
r = Checks(rlvars, arch)
r.check_validity()

script names and permissions

  • Callable scripts should always end in .py and live in the empanadas/scripts folder
  • Poetry will handle the installation of these executables with setuptools for distribution, and they can be invoked by name using poetry run script-name, too.
    • Configure the script and function to be executed in pyproject.toml (TODO: dynamically load scripts from this directory as well as standardize on the script input/outputs)