def create_model_run_ready_for_submit(self):
     # Set up the model as if we'd gone through all the previous pages
     # The Create page
     self.model_name = u'name'
     self.model_description = u'This is a description'
     self.science_config = self.model_run_service.get_scientific_configurations()[0]
     model_science_config_id = self.science_config['id']
     response = self.app.post(url=url(controller='model_run', action='create'),
                              params={
                                  'name': self.model_name,
                                  'science_configuration': str(model_science_config_id),
                                  'description': self.model_description
                              })
     assert response.status_code == 302
     # The Driving Data page
     self.create_two_driving_datasets()
     dataset_service = DatasetService()
     driving_datasets = dataset_service.get_driving_datasets(self.user)
     self.driving_data = [dds for dds in driving_datasets if dds.name == "driving1"][0]
     response = self.app.post(url(controller='model_run', action='driving_data'),
                              params={
                                  'driving_dataset': self.driving_data.id,
                                  'submit': u'Next'
                              })
     assert response.status_code == 302
     # The Extents page
     self.lat_n, self.lat_s = 40, 0
     self.lon_w, self.lon_e = -15, 15
     self.date_start = datetime.datetime(1980, 1, 1, 0, 0, 0)
     self.date_end = datetime.datetime(1980, 1, 1, 0, 0, 0)
     response = self.app.post(url(controller='model_run', action='extents'),
                              params={
                                  'submit': u'Next',
                                  'site': u'multi',
                                  'lat_n': self.lat_n,
                                  'lat_s': self.lat_s,
                                  'lon_e': self.lon_e,
                                  'lon_w': self.lon_w,
                                  'start_date': self.date_start.strftime("%Y-%m-%d"),
                                  'end_date': self.date_end.strftime("%Y-%m-%d")
                              })
     assert response.status_code == 302
     # The Output Variables page
     response = self.app.post(url(controller='model_run', action='output'),
                              params={
                                  'submit': u'Next',
                                  'ov_select_1': 1,
                                  'ov_hourly_1': 1,
                                  'ov_select_10': 1,
                                  'ov_yearly_10': 1,
                                  'ov_monthly_10': 1
                              })
     assert response.status_code == 302
    def test_GIVEN_valid_driving_data_chosen_WHEN_go_back_THEN_create_page_rendered(self):
        self._add_model_run_being_created(self.user)
        self.create_two_driving_datasets()

        dataset_service = DatasetService()
        driving_data = dataset_service.get_driving_datasets(self.user)
        ds_id = driving_data[0].id
        response = self.app.post(
            url(controller='model_run', action='driving_data'),
            params={
                'driving_dataset': ds_id,
                'submit': u'Back'
            })

        assert_that(response.status_code, is_(302), "Response is redirect")
        assert_that(urlparse(response.response.location).path,
                    is_(url(controller='model_run', action='create')), "url")
    def test_GIVEN_valid_driving_data_chosen_WHEN_post_THEN_driving_data_stored_against_model_run(self):
        self._add_model_run_being_created(self.user)
        self.create_two_driving_datasets()

        dataset_service = DatasetService()
        driving_data = dataset_service.get_driving_datasets(self.user)
        ds_id = driving_data[0].id
        self.app.post(
            url(controller='model_run', action='driving_data'),
            params={
                'driving_dataset': ds_id,
                'submit': u'Next'
            })

        model_run_service = ModelRunService()
        model_run = model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)
        param_val = model_run.get_python_parameter_value(constants.JULES_PARAM_DRIVE_FILE)
        assert_that(param_val, is_('testFileName'))
    def test_GIVEN_user_quota_exceeded_WHEN_navigate_post_to_driving_data_THEN_navigate_to_error_page(self):
        """
        On a post of data the quota should not be checked, the data should just be saved as normal
        """
        user = self.login()
        self.create_run_model(storage_in_mb=user.storage_quota_in_gb * 1024 + 1, name="big_run", user=user)

        self._add_model_run_being_created(self.user)
        self.create_two_driving_datasets()

        dataset_service = DatasetService()
        driving_data = dataset_service.get_driving_datasets(user)
        ds_id = driving_data[0].id
        response = self.app.post(
            url(controller='model_run', action='driving_data'),
            params={
                'driving_dataset': ds_id,
                'submit': u'Next'
            })

        assert_that(response.status_code, is_(302), "Response is redirect")
        assert_that(urlparse(response.response.location).path,
                    is_(url(controller='model_run', action='index')), "url")
class TestLandCoverService(TestWithFullModelRun):
    def setUp(self):
        dap_client_factory = DapClientFactory()
        dap_client_factory.get_land_cover_dap_client = self._mock_get_land_cover_dap_client
        dap_client_factory.get_soil_properties_dap_client = self._mock_get_soil_properties_dap_client
        self.land_cover_service = LandCoverService(dap_client_factory=dap_client_factory)
        self.model_run_service = ModelRunService()
        self.dataset_service = DatasetService()
        self.parameter_service = ParameterService()
        self.clean_database()
        self.user = self.login()
        self.create_model_run_ready_for_submit()

    @staticmethod
    def _mock_get_land_cover_dap_client(url, key):
        return MockLandCoverDapClient(url, key)

    @staticmethod
    def _mock_get_soil_properties_dap_client(url):
        return MockSoilPropertiesDapClient(url)

    def test_GIVEN_land_cover_regions_exist_WHEN_get_land_cover_region_by_id_THEN_land_cover_region_returned(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        land_cover_region = self.add_land_cover_region(model_run)
        id = land_cover_region.id

        returned_region = self.land_cover_service.get_land_cover_region_by_id(id)
        assert_that(returned_region.id, is_(id))
        assert_that(returned_region.name, is_("Wales"))

    def test_GIVEN_land_cover_categories_WHEN_get_land_cover_region_THEN_returned_region_has_category_loaded(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        land_cover_region = self.add_land_cover_region(model_run)
        id = land_cover_region.id

        with session_scope() as session:
            land_cover_cat = LandCoverRegionCategory()
            land_cover_cat.name = "River Catchments"
            land_cover_cat.driving_dataset_id = model_run.driving_dataset_id
            session.add(land_cover_cat)

        returned_region = self.land_cover_service.get_land_cover_region_by_id(id)
        assert_that(returned_region.category.name, is_("Countries"))

    def test_GIVEN_land_cover_values_WHEN_get_land_cover_values_THEN_land_cover_values_returned(self):
        lc_values = self.land_cover_service.get_land_cover_values(None)
        assert_that(len(lc_values), is_(9))
        names = [lc_value.name for lc_value in lc_values]
        assert 'Urban' in names
        assert constants.FRACTIONAL_ICE_NAME in names

    def test_GIVEN_return_no_ice_WHEN_get_land_cover_values_THEN_land_cover_values_returned(self):
        lc_values = self.land_cover_service.get_land_cover_values(None, return_ice=False)
        assert_that(len(lc_values), is_(8))
        names = [lc_value.name for lc_value in lc_values]
        assert 'Urban' in names
        assert constants.FRACTIONAL_ICE_NAME not in names

    def test_GIVEN_multiple_land_cover_categories_WHEN_get_categories_THEN_correct_categories_returned(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)
        datasets = self.dataset_service.get_driving_datasets(self.user)

        with session_scope() as session:
            cat1 = LandCoverRegionCategory()
            cat1.name = "Countries"
            cat1.driving_dataset_id = model_run.driving_dataset_id

            region1 = LandCoverRegion()
            region1.mask_file = "filepath"
            region1.name = "Wales"
            region1.category = cat1

            cat2 = LandCoverRegionCategory()
            cat2.name = "Rivers"
            cat2.driving_dataset_id = datasets[1].id

            region2 = LandCoverRegion()
            region2.mask_file = "filepath2"
            region2.name = "Thames"
            region2.category = cat2

            session.add_all([region1, region2])

        categories = self.land_cover_service.get_land_cover_categories(model_run.driving_dataset_id)
        assert_that(len(categories), is_(1))
        assert_that(categories[0].name, is_("Countries"))

    def test_GIVEN_categories_have_land_cover_regions_WHEN_get_categories_THEN_category_has_regions_loaded(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        with session_scope() as session:
            cat1 = LandCoverRegionCategory()
            cat1.name = "Countries"
            cat1.driving_dataset_id = model_run.driving_dataset_id

            region1 = LandCoverRegion()
            region1.mask_file = "filepath"
            region1.name = "Wales"
            region1.category = cat1

            cat2 = LandCoverRegionCategory()
            cat2.name = "Rivers"
            cat2.driving_dataset_id = model_run.driving_dataset_id

            region2 = LandCoverRegion()
            region2.mask_file = "filepath2"
            region2.name = "Thames"
            region2.category = cat2

            session.add_all([region1, region2])

        categories = self.land_cover_service.get_land_cover_categories(model_run.driving_dataset_id)
        assert_that(len(categories[0].regions), is_(1))
        assert_that(categories[0].regions[0].name, is_("Wales"))

    def test_GIVEN_land_cover_actions_WHEN_save_land_cover_actions_THEN_land_cover_actions_saved(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        land_cover_region = self.add_land_cover_region(model_run)
        self.add_land_cover_actions(land_cover_region, model_run, [(1, 1), (2, 3)], self.land_cover_service)

        with session_scope() as session:
            model_run = self.model_run_service._get_model_run_being_created(session, self.user)
        actions = model_run.land_cover_actions
        assert_that(len(actions), is_(2))

    def test_GIVEN_existing_land_cover_actions_WHEN_save_land_cover_actions_THEN_land_cover_actions_overwritten(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        land_cover_region = self.add_land_cover_region(model_run)
        self.add_land_cover_actions(land_cover_region, model_run, [(1, 1), (2, 3)], self.land_cover_service)

        self.add_land_cover_actions(land_cover_region, model_run, [(2, 4)], self.land_cover_service)

        with session_scope() as session:
            model_run = self.model_run_service._get_model_run_being_created(session, self.user)
        actions = model_run.land_cover_actions
        assert_that(len(actions), is_(1))
        assert_that(actions[0].value_id, is_(2))
        assert_that(actions[0].order, is_(4))

    def test_GIVEN_no_land_cover_actions_WHEN_save_land_cover_actions_THEN_all_land_cover_actions_removed(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        land_cover_region = self.add_land_cover_region(model_run)
        self.add_land_cover_actions(land_cover_region, model_run, [(1, 1), (2, 3)], self.land_cover_service)

        self.add_land_cover_actions(land_cover_region, model_run, [], self.land_cover_service)

        with session_scope() as session:
            model_run = self.model_run_service._get_model_run_being_created(session, self.user)
        actions = model_run.land_cover_actions
        assert_that(len(actions), is_(0))

    def test_GIVEN_land_cover_actions_saved_on_model_run_WHEN_get_land_cover_actions_THEN_actions_returned(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        land_cover_region = self.add_land_cover_region(model_run)
        self.add_land_cover_actions(land_cover_region, model_run, [(1, 1), (2, 3)], self.land_cover_service)

        actions = self.land_cover_service.get_land_cover_actions_for_model(model_run)
        assert_that(len(actions), is_(2))
        assert_that(actions[0].value_id, is_(1))
        assert_that(actions[0].order, is_(1))
        assert_that(actions[1].value_id, is_(2))
        assert_that(actions[1].order, is_(3))

    def test_GIVEN_land_cover_actions_saved_WHEN_get_actions_THEN_actions_have_regions_and_categories_loaded(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        land_cover_region = self.add_land_cover_region(model_run)
        self.add_land_cover_actions(land_cover_region, model_run, [(1, 1)], self.land_cover_service)

        action = self.land_cover_service.get_land_cover_actions_for_model(model_run)[0]
        assert_that(action.region.name, is_("Wales"))
        assert_that(action.region.category.name, is_("Countries"))

    def test_GIVEN_land_cover_actions_saved_WHEN_get_actions_THEN_actions_have_values_loaded(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)

        land_cover_region = self.add_land_cover_region(model_run)
        self.add_land_cover_actions(land_cover_region, model_run, [(1, 1)], self.land_cover_service)

        action = self.land_cover_service.get_land_cover_actions_for_model(model_run)[0]
        assert_that(action.value.name, is_("Broad-leaved Tree"))

    def test_GIVEN_fractional_string_WHEN_save_fractional_land_cover_for_model_THEN_fractional_cover_saved(self):
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)
        assert_that(model_run.land_cover_frac, is_(None))

        fractional_string = "0\t0\t0\t0\t0\t0\t0\t0\t1"
        self.land_cover_service.save_fractional_land_cover_for_model(model_run, fractional_string)

        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)
        assert_that(model_run.land_cover_frac, is_(fractional_string))

    def test_GIVEN_user_uploaded_driving_data_WHEN_get_default_fractional_cover_THEN_fractional_cover_returned(self):
        self.clean_database()
        self.user = self.login()
        self.create_model_run_with_user_uploaded_driving_data()

        model_run = self.set_model_run_latlon(self.user, 70, 0)

        fractional_vals = self.land_cover_service.get_default_fractional_cover(model_run, self.user)
        assert_that(fractional_vals, is_([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]))

    def test_GIVEN_two_matching_datasets_WHEN_get_default_cover_THEN_higher_priority_fractional_cover_returned(self):
        self.clean_database()
        self.user = self.login()
        self.create_model_run_with_user_uploaded_driving_data()

        model_run = self.set_model_run_latlon(self.user, 0, 0)
        fractional_vals = self.land_cover_service.get_default_fractional_cover(model_run, self.user)
        assert_that(fractional_vals, is_([0.02, 0.11, 0.02, 0.05, 0.35, 0.19, 0.22, 0.04, 0.0]))

    def test_GIVEN_no_matching_datasets_WHEN_get_default_cover_THEN_zeros_returned(self):
        self.clean_database()
        self.user = self.login()
        self.create_model_run_with_user_uploaded_driving_data()

        model_run = self.set_model_run_latlon(self.user, 88, 0)
        fractional_vals = self.land_cover_service.get_default_fractional_cover(model_run, self.user)
        assert_that(fractional_vals, is_([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]))

    def test_GIVEN_thredds_not_working_WHEN_get_default_cover_THEN_zeros_returned(self):
        self.clean_database()
        self.user = self.login()
        self.create_model_run_with_user_uploaded_driving_data()

        def _get_broken_dap_client(url, key):
            return MockLandCoverDapClient("broken_url", key)

        dap_client_factory = DapClientFactory()
        dap_client_factory.get_land_cover_dap_client = _get_broken_dap_client
        self.land_cover_service = LandCoverService(dap_client_factory=dap_client_factory)

        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)
        fractional_vals = self.land_cover_service.get_default_fractional_cover(model_run, self.user)
        assert_that(fractional_vals, is_([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]))

    def test_GIVEN_using_provided_driving_data_WHEN_get_default_fractional_cover_THEN_fractional_cover_returned(self):
        self.clean_database()
        self.user = self.login()
        self.create_alternate_model_run()

        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)
        fractional_vals = self.land_cover_service.get_default_fractional_cover(model_run, self.user)
        assert_that(fractional_vals, is_([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0]))

    def test_GIVEN_multicell_model_run_WHEN_get_default_fractional_cover_THEN_ServiceException_raised(self):
        self.clean_database()
        self.user = self.login()
        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 self.assertRaises(ServiceException):
            self.land_cover_service.get_default_fractional_cover(model_run, self.user)

    def test_GIVEN_user_uploaded_driving_data_WHEN_set_default_soil_properties_THEN_soil_cover_set(self):
        self.clean_database()
        self.user = self.login()
        self.create_model_run_with_user_uploaded_driving_data()

        model_run = self.set_model_run_latlon(self.user, 51, 0)

        self.land_cover_service.save_default_soil_properties(model_run, self.user)

        #self._land_cover_service.dap_client_factory.get_soil_properties_dap_client = _mock_get_soil_props_client
        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)
        nvars = model_run.get_python_parameter_value(constants.JULES_PARAM_SOIL_PROPS_NVARS)
        var = model_run.get_python_parameter_value(constants.JULES_PARAM_SOIL_PROPS_VAR, is_list=True)
        use_file = model_run.get_python_parameter_value(constants.JULES_PARAM_SOIL_PROPS_USE_FILE, is_list=True)
        const_val = model_run.get_python_parameter_value(constants.JULES_PARAM_SOIL_PROPS_CONST_VAL, is_list=True)

        assert_that(nvars, is_(9))
        assert_that(var, is_(['b', 'sathh', 'satcon', 'sm_sat', 'sm_crit', 'sm_wilt', 'hcap', 'hcon', 'albsoil']))
        assert_that(use_file, is_(9 * [False]))
        assert_that(const_val, is_([0.9, 0.0, 0.0, 50.0, 275.0, 278.0, 10.0, 0.0, 0.5]))

    def test_GIVEN_no_appropriate_driving_data_WHEN_set_default_soil_properties_THEN_values_not_set(self):
        self.clean_database()
        self.user = self.login()
        self.create_model_run_with_user_uploaded_driving_data()

        model_run = self.set_model_run_latlon(self.user, 90, 0)

        self.land_cover_service.save_default_soil_properties(model_run, self.user)

        model_run = self.model_run_service.get_model_being_created_with_non_default_parameter_values(self.user)
        nvars = model_run.get_python_parameter_value(constants.JULES_PARAM_SOIL_PROPS_NVARS)
        var = model_run.get_python_parameter_value(constants.JULES_PARAM_SOIL_PROPS_VAR)
        use_file = model_run.get_python_parameter_value(constants.JULES_PARAM_SOIL_PROPS_USE_FILE, is_list=True)
        const_val = model_run.get_python_parameter_value(constants.JULES_PARAM_SOIL_PROPS_CONST_VAL, is_list=True)

        assert_that(nvars, is_(None))
        assert_that(var, is_(None))
        assert_that(use_file, is_(None))
        assert_that(const_val, is_(None))

    def set_model_run_latlon(self, user, lat, lon):
        params_to_save = [[constants.JULES_PARAM_POINTS_FILE, [lat, lon]]]
        params_to_del = constants.JULES_PARAM_POINTS_FILE
        self.parameter_service.save_new_parameters(params_to_save, params_to_del, user.id)

        return self.model_run_service.get_model_being_created_with_non_default_parameter_values(user)
Ejemplo n.º 6
0
class TestDatasetService(TestController):
    """
    Test for the dataset service
    """

    def setUp(self):
        super(TestDatasetService, self).setUp()
        self.dataset_service = DatasetService()
        self.clean_database()

    def test_GIVEN_two_driving_datasets_WHEN_get_driving_datasets_THEN_both_driving_datasets_returned(self):
        user = self.login()
        self.create_two_driving_datasets()
        driving_datasets = self.dataset_service.get_driving_datasets(user)
        assert_that(len(driving_datasets), is_(2 + 1))  # Have to also count the 'user upload driving dataset'
        assert_that(driving_datasets[0].name, is_("driving1"))
        assert_that(driving_datasets[1].description, is_("driving 2 description"))

    def test_GIVEN_two_driving_datasets_WHEN_get_spatial_extent_THEN_correct_spatial_extent_returned(self):
        user = self.login()
        self.create_two_driving_datasets()
        driving_datasets = self.dataset_service.get_driving_datasets(user)
        id = driving_datasets[0].id
        spatial_extent = self.dataset_service.get_spatial_extent(id)
        assert_that(spatial_extent._bound_lat_n, is_(50))
        assert_that(spatial_extent._bound_lat_s, is_(-10))
        assert_that(spatial_extent._bound_lon_w, is_(-15))
        assert_that(spatial_extent._bound_lon_e, is_(30))

    def test_GIVEN_driving_dataset_with_parameter_values_THEN_when_get_driving_dataset_by_id_THEN_namelist_parameters_loaded(self):
        user = self.login()
        self.create_two_driving_datasets()
        driving_datasets = self.dataset_service.get_driving_datasets(user)
        id = driving_datasets[0].id
        dataset = self.dataset_service.get_driving_dataset_by_id(id)
        parameter_values = dataset.parameter_values
        for param_val in parameter_values:
            parameter = param_val.parameter
            namelist = parameter.namelist

    def test_GIVEN_driving_dataset_THEN_when_view_by_non_admin_THEN_not_shown(self):
        user = self.login()
        self.clean_database()
        with session_scope() as session:
            self.create_driving_dataset(session, is_restricted_to_admins=True)

        driving_datasets = self.dataset_service.get_driving_datasets(user)

        assert_that(len(driving_datasets), is_(1), "Driving dataset count (just the single cell one)")

    def test_GIVEN_driving_dataset_THEN_when_view_by_admin_THEN_shown(self):
        user = self.login(access_level=constants.USER_ACCESS_LEVEL_ADMIN)
        self.clean_database()
        n_dd = len(self.dataset_service.get_driving_datasets(user))
        with session_scope() as session:
            self.create_driving_dataset(session, is_restricted_to_admins=True)

        driving_datasets = self.dataset_service.get_driving_datasets(user)

        assert_that(len(driving_datasets), is_(n_dd + 1), "Driving dataset count")

    def test_GIVEN_driving_dataset_with_max_less_than_min_THEN_when_view_THEN_max_is_set_at_twice_min(self):
        # If the range is incorrect then THREDDS refuses to show the data so make sure this never happens
        user = self.login()
        self.clean_database()
        with session_scope() as session:
            dataset_id = self.create_dataset(session, data_range_from=10, data_range_to=5)

        dataset = self.dataset_service.get_dataset_by_id(dataset_id, user.id)

        assert_that(dataset.data_range_from, less_than(dataset.data_range_to), "Driving dataset data ranges must be in correct order")