Describe the bug
invalid_datasource_name test added as part of create_experiment API tests in the LM mode is failing due to incorrect input being passed to the API.
How to reproduce it
Run the create_experiment LM negative test:
pytest test_create_experiment.py::test_create_exp_invalid_tests --html=/tmp/create-exp.html --cluster_type openshift
Notice the invalid_datasource_name failure with the assertion failure:
> assert data['message'] == expected_error_msg
E AssertionError: assert 'Can not spec...er experiment' == 'Given dataso... is not valid'
E
E - Given datasource name - invalid-ds either does not exist or is not valid
E + Can not specify namespace data for container experiment
Expected behavior
Test should pass after fixing the input passed to the create experiment API in the test function def test_create_exp_invalid_tests()
Relevant logs
Attach any relevant logs to help debug the issue
invalid-ds-name-test-failure.pdf
Environment:
- Kubernetes Cluster : Openshift
- Version
- OS
Additional context
Add any other context about the problem here, any links or screenshots
Describe the bug
invalid_datasource_nametest added as part of create_experiment API tests in the LM mode is failing due to incorrect input being passed to the API.How to reproduce it
Run the create_experiment LM negative test:
Notice the
invalid_datasource_namefailure with the assertion failure:Expected behavior
Test should pass after fixing the input passed to the create experiment API in the test function
def test_create_exp_invalid_tests()Relevant logs
Attach any relevant logs to help debug the issue
invalid-ds-name-test-failure.pdf
Environment:
Additional context
Add any other context about the problem here, any links or screenshots