""" TestExports test and validate the city export formats SPDX - License - Identifier: LGPL - 3.0 - or -later Copyright © 2022 Concordia CERC group Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca """ import subprocess from pathlib import Path from unittest import TestCase import hub.helpers.constants as cte from hub.exports.energy_building_exports_factory import EnergyBuildingsExportsFactory from hub.exports.exports_factory import ExportsFactory from hub.helpers.dictionaries import Dictionaries from hub.imports.construction_factory import ConstructionFactory from hub.imports.geometry_factory import GeometryFactory from hub.imports.results_factory import ResultFactory from hub.imports.usage_factory import UsageFactory class TestResultsImport(TestCase): """ TestImports class contains the unittest for import functionality """ def setUp(self) -> None: """ Test setup :return: None """ self._example_path = (Path(__file__).parent / 'tests_data').resolve() self._output_path = (Path(__file__).parent / 'tests_outputs').resolve() file = 'Citylayers_neighbours_simp2.json' file_path = (self._example_path / file).resolve() self._city = GeometryFactory('geojson', path=file_path, height_field='heightmax', year_of_construction_field='ANNEE_CONS', function_field='CODE_UTILI', function_to_hub=Dictionaries().montreal_function_to_hub_function).city ConstructionFactory('nrcan', self._city).enrich() UsageFactory('comnet', self._city).enrich() def test_sra_import(self): ExportsFactory('sra', self._city, self._output_path).export() sra_path = (self._output_path / f'{self._city.name}_sra.xml').resolve() subprocess.run(['sra', str(sra_path)]) ResultFactory('sra', self._city, self._output_path).enrich() # Check that all the buildings have radiance in the surfaces for building in self._city.buildings: for surface in building.surfaces: self.assertIsNotNone(surface.global_irradiance) def test_meb_import(self): ExportsFactory('sra', self._city, self._output_path).export() sra_path = (self._output_path / f'{self._city.name}_sra.xml').resolve() subprocess.run(['sra', str(sra_path)]) ResultFactory('sra', self._city, self._output_path).enrich() EnergyBuildingsExportsFactory('insel_monthly_energy_balance', self._city, self._output_path).export() for building in self._city.buildings: insel_path = (self._output_path / f'{building.name}.insel') subprocess.run(['insel', str(insel_path)]) ResultFactory('insel_monthly_energy_balance', self._city, self._output_path).enrich() # Check that all the buildings have heating and cooling values for building in self._city.buildings: self.assertIsNotNone(building.heating_demand[cte.MONTH]) self.assertIsNotNone(building.cooling_demand[cte.MONTH]) self.assertIsNotNone(building.heating_demand[cte.YEAR]) self.assertIsNotNone(building.cooling_demand[cte.YEAR]) self.assertIsNotNone(building.lighting_peak_load[cte.MONTH]) self.assertIsNotNone(building.lighting_peak_load[cte.YEAR]) self.assertIsNotNone(building.appliances_peak_load[cte.MONTH]) self.assertIsNotNone(building.appliances_peak_load[cte.YEAR]) def test_peak_loads(self): # todo: this is not technically a import ExportsFactory('sra', self._city, self._output_path).export() sra_path = (self._output_path / f'{self._city.name}_sra.xml').resolve() subprocess.run(['sra', str(sra_path)]) ResultFactory('sra', self._city, self._output_path).enrich() for building in self._city.buildings: self.assertIsNotNone(building.heating_peak_load) self.assertIsNotNone(building.cooling_peak_load) values = [0 for _ in range(8760)] values[0] = 1000 expected_monthly_list = [0 for _ in range(12)] expected_monthly_list[0] = 1000 for building in self._city.buildings: building.heating_demand[cte.HOUR] = values building.cooling_demand[cte.HOUR] = values self.assertIsNotNone(building.heating_peak_load) self.assertIsNotNone(building.cooling_peak_load) def test_energy_plus_results_import(self): # todo: this tests aren't actually testing the functionality ResultFactory('energy_plus_single_building', self._city, self._example_path).enrich() for building in self._city.buildings: csv_output_name = f'{building.name}_out.csv' csv_output_path = (self._example_path / csv_output_name).resolve() if csv_output_path.is_file(): self.assertEqual(building.name, '12') self.assertIsNotNone(building.heating_demand) self.assertIsNotNone(building.cooling_demand) self.assertIsNotNone(building.domestic_hot_water_heat_demand) self.assertIsNotNone(building.lighting_electrical_demand) self.assertIsNotNone(building.appliances_electrical_demand) total_demand = sum(building.heating_demand[cte.HOUR]) self.assertAlmostEqual(total_demand, building.heating_demand[cte.YEAR][0], 3) total_demand = sum(building.heating_demand[cte.MONTH]) self.assertEqual(total_demand, building.heating_demand[cte.YEAR][0], 3) if building.name != '12': self.assertDictEqual(building.heating_demand, {}) self.assertDictEqual(building.cooling_demand, {}) self.assertDictEqual(building.domestic_hot_water_heat_demand, {}) self.assertDictEqual(building.lighting_electrical_demand, {}) self.assertDictEqual(building.appliances_electrical_demand, {}) def test_energy_plus_multiple_buildings_results_import(self): # todo: this tests aren't actually testing the functionality ResultFactory('energy_plus_multiple_buildings', self._city, self._example_path).enrich() csv_output_name = f'{self._city.name}_out.csv' csv_output_path = (self._example_path / csv_output_name).resolve() if csv_output_path.is_file(): for building in self._city.buildings: self.assertIsNotNone(building.heating_demand) self.assertIsNotNone(building.cooling_demand) self.assertIsNotNone(building.domestic_hot_water_heat_demand) self.assertIsNotNone(building.lighting_electrical_demand) self.assertIsNotNone(building.appliances_electrical_demand) total_demand = sum(building.heating_demand[cte.HOUR]) self.assertAlmostEqual(total_demand, building.heating_demand[cte.YEAR][0], 2) total_demand = sum(building.heating_demand[cte.MONTH]) self.assertEqual(total_demand, building.heating_demand[cte.YEAR][0], 2) def test_cerc_idf_results(self): csv_output_path = (self._output_path / f'Montreal_out.csv').resolve() ResultFactory('cerc_idf', self._city, csv_output_path).enrich()