Modify nigtly pipelines to use the same distro-to-Ansible version map
so that the Ansible version matches the required version for the
specific distro. Nightly pipelines are the same used for Weekly tests.
This was required due to recent updates for Python 3.14 and Ansible
upstream versions.
Signed-off-by: Rafael Guterres Jeffman <rjeffman@redhat.com>
The ansible-core version used in the CI pipelines has been updated
from 2.16 to 2.18 to keep the testing environment current.
Additionally, the pull request pipeline has been enhanced to test
against the specific ansible-core versions that are packaged with the
latest stable distributions. This will help ensure that the roles remain
compatible with the versions users are likely to have installed.
Signed-off-by: Rafael Guterres Jeffman <rjeffman@redhat.com>
This patch modify the pipelines to create stages using the 'each'
expression on Azure pipelines, so that the configuration and the list of
distributions can be set using variables.
Testing CentOS 8 Stream and Galaxy collections still need to be handled
in a separate group, although, the pipeline configuration becomes easily
changed, specially when updating Ansible versions.
ansible-core versions 2.15 and 2.16 and used for all pipelines, but
version 2.17 is not used for CentOS 8 Stream, as platform python on
this version is 3.6 which is not supported in this ansible-core version.
Several optimizations have been done to the pipelines, to make them
closer to what can be reproduced, with the existing scripts, in a
development environment:
- Use start.sh and build.sh scripts to build and start containers
- Use variables to configure different stages instead of using separate
files
- Use a commom 'prepare_environment' to create the environment for every
pipeline
- Use a single file defining testing steps (run_tests.yml)
- Remove Centos 7 pipelines
- Reduce the number of pipelines in the test matrix due to the amount of
time that tests were using
- Use Azure "loop" (each) to create test groups
The above changes make the pipelines easier to understand and modify.
