This document outlines the processes and practices recommended for contributing enhancements to this operator.
Before developing enhancements to this charm, you should open an issue explaining your use case. If you would like to chat with us about your use-cases or proposed implementation, you can reach us at MLOps Mattermost public channel or on Discourse.
Please help us out in ensuring easy to review branches by rebasing your pull request branch onto the main
branch. This also avoids merge commits and creates a linear Git commit history.
All pull requests require review before being merged. Code review typically examines:
- code quality
- test coverage
- user experience for Juju administrators of this charm.
Familiarising yourself with the Charmed Operator Framework library will help you a lot when working on new features or bug fixes.
You can use the environments created by tox
for development:
tox --notest -e unit
source .tox/unit/bin/activate
tox -e lint # code style
tox -e unit # unit tests
tox -e integration # integration tests
tox # runs 'lint' and 'unit' environments
Build the charm in this git repository using:
charmcraft pack
# Create a model
juju add-model dev
# Enable DEBUG logging
juju model-config logging-config="<root>=INFO;unit=DEBUG"
# Deploy the charm
juju deploy ./mlflow-server_ubuntu-20.04-amd64.charm \
--resource oci-image=$(yq '.resources."oci-image"."upstream-source"' metadata.yaml)
To upgrade the source and resources of this charm, you must:
- Bump the
oci-image
inmetadata.yaml
- Update the charm source for any changes, such as:
- YAML manifests in
src/
and/or any Kubernetes resource inpod_spec
- New or changed configurations passed to pebble workloads or through
pod.set_spec
- YAML manifests in
- Ensure integration and unit tests are passing; fix/adapt them otherwise
Canonical welcomes contributions to this charm. Please check out our contributor agreement if you're interested in contributing.