def test_GIVEN_land_cover_action_saved_WHEN_view_submit_page_THEN_land_cover_action_shown(self):
        self.create_model_run_ready_for_submit()
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        with session_scope() as session:
            land_cover_cat = LandCoverRegionCategory()
            land_cover_cat.driving_dataset_id = model_run.driving_dataset_id
            land_cover_cat.name = "Rivers"

            land_cover_region = LandCoverRegion()
            land_cover_region.name = "Thames"
            land_cover_region.category = land_cover_cat

            land_cover_action = LandCoverAction()
            land_cover_action.model_run = model_run
            land_cover_action.value_id = 9
            land_cover_action.region = land_cover_region
            land_cover_action.order = 1

            session.add(land_cover_action)

        response = self.app.get(
            url(controller='model_run', action='submit'))

        assert_that(response.normal_body, contains_string("Change Thames (Rivers) to Ice"))
    def _mock_lcs_get_actions_for_model_run_wrong_dataset(model_run):
        cat = LandCoverRegionCategory()
        cat.id = 1
        cat.name = "Countries"
        cat.driving_dataset_id = 2

        region = LandCoverRegion()
        region.id = 1
        region.name = "Wales"
        region.category = cat

        action = LandCoverAction()
        action.id = 1
        action.region = region
        action.value_id = 1

        return [action]
    def test_GIVEN_model_with_land_cover_actions_WHEN_convert_to_dictionary_THEN_land_cover_actions_present(self):

        job_runner_client = JobRunnerClient(config)

        def _alter_yearly_monthly_output_profiles(params):
            return params

        def _alter_driving_data_start(params):
            return params

        job_runner_client.alter_yearly_monthly_output_profiles = _alter_yearly_monthly_output_profiles
        job_runner_client.alter_driving_data_start = _alter_driving_data_start

        parameter = Parameter(name='file')
        expected_parameter_value = "'base_frac_file.nc'"
        parameter.parameter_values = [ParameterValue(value=expected_parameter_value)]

        parameter2 = Parameter(name='frac_name')
        expected_parameter_value2 = "'frac'"
        parameter2.parameter_values = [ParameterValue(value=expected_parameter_value2)]

        parameter3 = Parameter(name='latlon_region')
        expected_parameter_value3 = ".true."
        parameter3.parameter_values = [ParameterValue(value=expected_parameter_value3)]

        namelist = Namelist(name='JULES_FRAC')
        namelist_file = NamelistFile(filename='filename')
        expected_index = 3

        namelist.parameters = [parameter, parameter2]
        namelist.namelist_file = namelist_file
        namelist.index_in_file = expected_index

        namelist2 = Namelist(name='JULES_MODEL_GRID')
        namelist_file = NamelistFile(filename='filename')
        expected_index = 3

        namelist2.parameters = [parameter3]
        namelist2.namelist_file = namelist_file
        namelist2.index_in_file = expected_index

        model_run = ModelRun()
        model_run.id = 101
        code_version = CodeVersion(name='Jules v3.4.1')

        model_run.code_version = code_version
        code_version.parameters = [parameter, parameter2, parameter3]

        user = User()
        user.id = 1
        user.email = "email"
        user.username = "******"
        model_run.user = user

        lcr1 = LandCoverRegion()
        lcr1.mask_file = "region1.nc"
        lca1 = LandCoverAction()
        lca1.value_id = 9
        lca1.order = 1
        lca1.region = lcr1

        lcr2 = LandCoverRegion()
        lcr2.mask_file = "region2.nc"
        lca2 = LandCoverAction()
        lca2.value_id = 5
        lca2.order = 2
        lca2.region = lcr2

        land_cover_actions = [lca1, lca2]

        result = job_runner_client.convert_model_to_dictionary(model_run, code_version.parameters, land_cover_actions)
        result_lc = result[constants.JSON_LAND_COVER]

        assert_that(result_lc[constants.JSON_LAND_COVER_BASE_FILE], is_("base_frac_file.nc"))
        assert_that(result_lc[constants.JSON_LAND_COVER_BASE_KEY], is_("frac"))
        assert_that(result_lc[constants.JSON_LAND_COVER_ICE_INDEX], is_(9))
        result_lc_actions = result_lc[constants.JSON_LAND_COVER_ACTIONS]

        assert_that(len(result_lc_actions), is_(2))
        action1 = result_lc_actions[0]
        assert_that(action1[constants.JSON_LAND_COVER_MASK_FILE], is_("region1.nc"))
        assert_that(action1[constants.JSON_LAND_COVER_ORDER], is_(1))
        assert_that(action1[constants.JSON_LAND_COVER_VALUE], is_(9))

        action2 = result_lc_actions[1]
        assert_that(action2[constants.JSON_LAND_COVER_MASK_FILE], is_("region2.nc"))
        assert_that(action2[constants.JSON_LAND_COVER_ORDER], is_(2))
        assert_that(action2[constants.JSON_LAND_COVER_VALUE], is_(5))

        namelist_file_result = result[constants.JSON_MODEL_NAMELIST_FILES][0]
        parameters_result = namelist_file_result[constants.JSON_MODEL_NAMELISTS][0][constants.JSON_MODEL_PARAMETERS]
        assert_that(parameters_result['file'], is_("'" + constants.USER_EDITED_FRACTIONAL_FILENAME + "'"))
        assert_that(parameters_result['frac_name'], is_("'frac'"))