- Install cloudify-common, cloudify-cli, manager_rest, and the tests package.
- Make sure you have a manager docker image,
docker loadit if necessary. - Run pytest, eg:
pytest -vxs integration_tests/tests/agentless_tests/test_workflow.py::BasicWorkflowsTest::test_execute_operation
We add several commandline arguments for pytest:
--tests-source-root- points to a directory that contains repositories with Cloudify code (or symlinks to them). Those repositories will be mounted into the container and used for the tests.--image-name- name of the docker image to run (default:cloudify-manager-aio:latest). Can be from a docker repository.--keep-container- don't delete the container after the test is done.--container-id- use a pre-spawned container (might be from a separate test run that provided --keep-container) for this test. Use this to greatly increase iteration speed when working with the tests.--k8s-namespace- use the Kubernetes cluster (must be already spawned in that namespace) to run the test.--lightweight- run a container without optional services, making it lighter and faster
Repositories from "tests-source-root" are going to be mounted into the
in-container virtualenvs. The mount list is maintained on an as-needed
basis, and is in tests/conftest.py. Feel free to add more entries to
it, if there's some source mounting missing that you need.