def test_upstream_meter(self):
meter1 = ElecMeter(metadata={'site_meter': True}, meter_id=METER_ID)
self.assertIsNone(meter1.upstream_meter())
meter2 = ElecMeter(metadata={'submeter_of': 1}, meter_id=METER_ID2)
self.assertEquals(meter2.upstream_meter(), meter1)
meter3 = ElecMeter(metadata={'submeter_of': 2}, meter_id=METER_ID3)
self.assertEquals(meter3.upstream_meter(), meter2)
def test_select_best_ac_type(self):
self.assertEqual(measure.select_best_ac_type(['reactive']), 'reactive')
self.assertEqual(measure.select_best_ac_type(['active', 'reactive', 'apparent']), 'active')
ElecMeter.meter_devices.update(
{'test model': {'measurements': [{'physical_quantity': 'power',
'type': 'apparent'}]}})
meter_id = ElecMeterID(1, 1, 'REDD')
meter = ElecMeter(metadata={'device_model': 'test model'}, meter_id=meter_id)
self.assertEqual(measure.select_best_ac_type(['reactive'],
meter.available_power_ac_types()),
'reactive')
def correlation(self):
meter_1 = ElecMeter(store=self.datastore,
metadata=self.meter_meta,
meter_id=METER_ID)
meter_2 = ElecMeter(store=self.datastore,
metadata=self.meter_meta,
meter_id=METER_ID2)
# Let us get raw DataFrames
df1 = self.datastore.store.get('/building1/elec/meter1')
df2 = self.datastore.store.get('/building1/elec/meter2')
# Let us compute the value using nilmtk
corr12_nilmtk = meter_1.correlation(meter_2)
print("Correlation using nilmtk:", corr12_nilmtk)
# Let us now compute the value using Pandas functions
corr12_pandas = df1.corr(df2)
print("Correlation using pandas:", corr12_pandas)
from pandas.util.testing import assert_frame_equal
assert_frame_equal(corr12_nilmtk, corr12_pandas)
def test_select_best_ac_type(self):
self.assertEqual(measure.select_best_ac_type(['reactive']), 'reactive')
self.assertEqual(
measure.select_best_ac_type(['active', 'reactive', 'apparent']),
'active')
ElecMeter.meter_devices.update({
'test model': {
'measurements': [{
'physical_quantity': 'power',
'type': 'apparent'
}]
}
})
meter_id = ElecMeterID(1, 1, 'REDD')
meter = ElecMeter(metadata={'device_model': 'test model'},
meter_id=meter_id)
self.assertEqual(
measure.select_best_ac_type(['reactive'],
meter.available_power_ac_types()),
'reactive')
def test_proportion_of_energy(self):
meter = ElecMeter(store=self.datastore,
metadata=self.meter_meta,
meter_id=METER_ID)
self.assertEquals(meter.proportion_of_energy(meter), 1.0)
def test_total_energy(self):
meter = ElecMeter(meter_id=METER_ID)
with self.assertRaises(RuntimeError):
meter.total_energy()
meter = ElecMeter(store=self.datastore,
metadata=self.meter_meta,
meter_id=METER_ID)
energy = meter.total_energy()
check_energy_numbers(self, energy)
# Check a second time to check cache
energy = meter.total_energy()
check_energy_numbers(self, energy)
meter.clear_cache()
# Check period_range
period_index = pd.period_range(start=meter.get_timeframe().start,
periods=5,
freq='D')
meter.total_energy(sections=period_index, full_results=True)
def test_load(self):
meter = ElecMeter(store=self.datastore,
metadata=self.meter_meta,
meter_id=METER_ID)
self.assertEqual(meter.metadata['device_model'], 'Energy Meter')
self.assertEqual(meter.device['sample_period'], 10)
def setUpClass(cls):
filename = join(data_dir(), 'energy.h5')
cls.datastore = HDFDataStore(filename)
ElecMeter.load_meter_devices(cls.datastore)
cls.meter_meta = cls.datastore.load_metadata(
'building1')['elec_meters'][METER_ID.instance]