def test_demo_file_pass(self): """ Read demo mat file""" # Read demo excel file disc_rate = DiscRates() description = 'One single file.' disc_rate.read_mat(ENT_TEST_MAT, description) # Check results n_rates = 51 self.assertIn('int', str(disc_rate.years.dtype)) self.assertEqual(len(disc_rate.years), n_rates) self.assertEqual(disc_rate.years[0], 2000) self.assertEqual(disc_rate.years[n_rates-1], 2050) self.assertIn('float', str(disc_rate.rates.dtype)) self.assertEqual(len(disc_rate.rates), n_rates) self.assertEqual(disc_rate.rates.min(), 0.02) self.assertEqual(disc_rate.rates.max(), 0.02) self.assertEqual(disc_rate.tag.file_name, ENT_TEST_MAT) self.assertEqual(disc_rate.tag.description, description)
class Entity(object): """Collects exposures, impact functions, measures and discount rates. Default values set when empty constructor. Attributes: exposures (Exposures): exposures impact_funcs (ImpactFucs): impact functions measures (MeasureSet): measures disc_rates (DiscRates): discount rates def_file (str): Default file from configuration file """ def __init__(self): """ Empty initializator """ self.exposures = Exposures() self.disc_rates = DiscRates() self.impact_funcs = ImpactFuncSet() self.measures = MeasureSet() def read_mat(self, file_name, description=''): """Read MATLAB file of climada. Parameters: file_name (str, optional): file name(s) or folder name containing the files to read description (str or list(str), optional): one description of the data or a description of each data file Raises: ValueError """ self.exposures = Exposures() self.exposures.read_mat(file_name) self.disc_rates = DiscRates() self.disc_rates.read_mat(file_name, description) self.impact_funcs = ImpactFuncSet() self.impact_funcs.read_mat(file_name, description) self.measures = MeasureSet() self.measures.read_mat(file_name, description) def read_excel(self, file_name, description=''): """Read csv or xls or xlsx file following climada's template. Parameters: file_name (str, optional): file name(s) or folder name containing the files to read description (str or list(str), optional): one description of the data or a description of each data file Raises: ValueError """ self.exposures = Exposures(pd.read_excel(file_name)) self.exposures.tag = Tag() self.exposures.tag.file_name = file_name self.exposures.tag.description = description self.disc_rates = DiscRates() self.disc_rates.read_excel(file_name, description) self.impact_funcs = ImpactFuncSet() self.impact_funcs.read_excel(file_name, description) self.measures = MeasureSet() self.measures.read_excel(file_name, description) def write_excel(self, file_name): """ Write excel file following template. """ self.exposures.to_excel(file_name) self.impact_funcs.write_excel(file_name) self.measures.write_excel(file_name) self.disc_rates.write_excel(file_name) def check(self): """Check instance attributes. Raises: ValueError """ self.disc_rates.check() self.exposures.check() self.impact_funcs.check() self.measures.check() def __setattr__(self, name, value): """Check input type before set""" if name == "exposures": if not isinstance(value, Exposures): LOGGER.error("Input value is not (sub)class of Exposures.") raise ValueError elif name == "impact_funcs": if not isinstance(value, ImpactFuncSet): LOGGER.error("Input value is not (sub)class of ImpactFuncSet.") raise ValueError elif name == "measures": if not isinstance(value, MeasureSet): LOGGER.error("Input value is not (sub)class of MeasureSet.") raise ValueError elif name == "disc_rates": if not isinstance(value, DiscRates): LOGGER.error("Input value is not (sub)class of DiscRates.") raise ValueError super().__setattr__(name, value) def __str__(self): return 'Exposures: \n' + self.exposures.tag.__str__() + \ '\nDiscRates: \n' + self.disc_rates.tag.__str__() + \ '\nImpactFuncSet: \n' + self.impact_funcs.tag.__str__() + \ '\nMeasureSet: \n' + self.measures.tag.__str__() __repr__ = __str__