# What does this PR do?
dropped python3.10, updated pyproject and dependencies, and also removed
some blocks of code with special handling for enum.StrEnum
Closes#2458
Signed-off-by: Charlie Doern <cdoern@redhat.com>
# What does this PR do?
Instead of downloading the models each time we now have a single Ollama
container that is baked with the models pulled and ready to use.
This will remove the CI flakiness on model pulling.
Signed-off-by: Sébastien Han <seb@redhat.com>
# What does this PR do?
Expand the test matrix to include Python 3.10, 3.11, and 3.12 to ensure
the project runs correctly on these versions. This will give us
confidence to begin considering an increase to the project's minimum
supported Python version.
Signed-off-by: Sébastien Han <seb@redhat.com>
# What does this PR do?
The previous `[project.optional-dependencies]` was misrepresenting what
the packages were. They were NOT optional dependencies to the project
but development dependencies. Unlike optional dependencies, development
dependencies are local-only and will not be included in the project
requirements when published to PyPI or other indexes. As such,
development dependencies are not included in the [project] table.
Additionally, the dev group is synced by default.
Source:
https://docs.astral.sh/uv/concepts/projects/dependencies/#development-dependencies
Signed-off-by: Sébastien Han <seb@redhat.com>
# What does this PR do?
Use a composite action to avoid similar steps repetitions and
centralization of the defaults.
Signed-off-by: Sébastien Han <seb@redhat.com>
# What does this PR do?
This PR introduces a reusable GitHub Actions workflow for pulling and
running an Ollama model, with caching to avoid repeated downloads.
[//]: # (If resolving an issue, uncomment and update the line below)
Closes: #1949
## Test Plan
1. Trigger a workflow that uses the Ollama setup. Confirm that:
- The model is pulled successfully.
- It is placed in the correct directory, official at the moment (not
~ollama/.ollama/models as per comment so need to confirm this).
2. Re-run the same workflow to validate that:
- The model is restored from the cache.
- Execution succeeds with the cached model.
[//]: # (## Documentation)
