def test_collect_data(self):
start_time = '1/1/2015 13:00:00'
final_time = '1/2/2015'
# Instantiate weather object
constraints = exodata.ConstraintFromDF(self.df, \
self.variable_map)
# Get constraint data
constraints.collect_data(start_time, final_time)
# Check reference
df_test = constraints.display_data()
self.check_df(df_test, 'collect_data.csv')
def test_collect_data_tz_handling(self):
start_time = '1/1/2015 13:00:00'
final_time = '1/2/2015'
# Localize timezone
self.df = self.df.tz_localize('UTC')
# Instantiate weather object
with self.assertRaises(TypeError):
constraints = exodata.ConstraintFromDF(self.df, \
self.variable_map)
# Remove timezone
self.df = self.df.tz_convert(None)
# Instantiate weather object
constraints = exodata.ConstraintFromDF(self.df, \
self.variable_map)
# Get control data
constraints.collect_data(start_time, final_time)
# Collect twice
constraints.collect_data(start_time, final_time)
# Check reference
df_test = constraints.display_data()
self.check_df(df_test, 'collect_data.csv')
def setUp(self):
self.df = pd.read_csv(
os.path.join(self.get_unittest_path(), 'resources', 'optimization',
'sampleConstraintCSV_Setback.csv'))
time = pd.to_datetime(self.df['Time'])
self.df.set_index(time, inplace=True)
variable_map = {'wesTdb_min' : ('wesTdb', 'GTE', units.degC), \
'wesTdb_max' : ('wesTdb', 'LTE', units.degC), \
'easTdb_min' : ('easTdb', 'GTE', units.degC), \
'easTdb_max' : ('easTdb', 'LTE', units.degC), \
'halTdb_min' : ('halTdb', 'GTE', units.degC), \
'halTdb_max' : ('halTdb', 'LTE', units.degC), \
'conHeat_wes_min' : ('conHeat_wes', 'GTE', units.unit1), \
'conHeat_wes_max' : ('conHeat_wes', 'LTE', units.unit1), \
'conHeat_hal_min' : ('conHeat_hal', 'GTE', units.unit1), \
'conHeat_hal_max' : ('conHeat_hal', 'LTE', units.unit1), \
'conHeat_eas_min' : ('conHeat_eas', 'GTE', units.unit1), \
'conHeat_eas_max' : ('conHeat_eas', 'LTE', units.unit1)}
# Instantiate weather object
self.constraints = exodata.ConstraintFromDF(self.df, \
variable_map)
