jubilant-tests

Automate Juju charm integration tests by using pytest-jubilant to control Juju, deploy charms, run actions, and verify model status in isolated test contexts. This framework provides structured patterns and fixtures for deploying, waiting, and asserting outcomes in local or CI environments.

Jubilant provides an API to control Juju and automate end-to-end charm validation. It manages dedicated Juju models to avoid cross-test interference, deploys charms, runs actions, and verifies relations and COS-lite observability checks in real time.

Yes, Jubilant integration tests are CI-ready. They use standard pytest fixtures and structured test patterns to validate charm installations, actions, and relations, ensuring repeatable test harnesses with dedicated Juju models in continuous integration workflows.

Test COS-lite observability checks by deploying charms with Jubilant and asserting outcomes using pytest-jubilant. The framework validates charm relations and observability scenarios within a dedicated Juju model to ensure accurate end-to-end validation.

Yes, Jubilant leverages dedicated Juju models to create isolated test contexts. This prevents cross-test interference and provides a repeatable test harness with fixture-based charm paths for deploying, waiting, and asserting validation outcomes.

Validate Juju charm actions and relations by automating end-to-end tests with Jubilant and pytest-jubilant. This approach deploys charms, runs actions, and verifies model status using structured test patterns and dedicated fixtures in local or CI environments.