def test_data_context_does_project_have_a_datasource_in_config_file_returns_false_when_the_project_has_an_invalid_config_file(
empty_context, ):
ge_dir = empty_context.root_directory
with open(os.path.join(ge_dir, DataContext.GE_YML), "w") as yml:
yml.write("this file: is not a valid ge config")
assert DataContext.does_project_have_a_datasource_in_config_file(
ge_dir) == False
def test_data_context_does_project_have_a_datasource_in_config_file_returns_true_when_it_has_a_datasource_configured_in_yml_file_on_disk(
empty_context, ):
ge_dir = empty_context.root_directory
empty_context.add_datasource("arthur",
**{"class_name": "PandasDatasource"})
assert DataContext.does_project_have_a_datasource_in_config_file(
ge_dir) == True
def test_data_context_does_project_have_a_datasource_in_config_file_returns_false_when_it_does_not_have_a_ge_dir(
empty_context, ):
ge_dir = empty_context.root_directory
safe_remove(os.path.join(ge_dir))
assert DataContext.does_project_have_a_datasource_in_config_file(
ge_dir) == False
def test_data_context_does_project_have_a_datasource_in_config_file_returns_false_when_it_does_not_have_a_datasource_configured_in_yml_file_on_disk(
empty_context, ):
ge_dir = empty_context.root_directory
assert DataContext.does_project_have_a_datasource_in_config_file(
ge_dir) == False
