def test_to_time_series(self):
sensordata = SensorData()
sensordata.id_sensor_data = 1
recordset = Recordset()
sensordata.recordset = recordset
sensor = Sensor()
sensor.sampling_rate = 5
sensor.data_rate = 1
sensordata.sensor = sensor
channel = Channel()
sensordata.channel = channel
sensordata.start_timestamp = datetime.datetime.fromtimestamp(0)
sensordata.stop_timestamp = datetime.datetime.fromtimestamp(0)
sensordata.data = np.array([1, 2, 3, 4, 5], dtype=float)
print(sensordata.to_time_series())
print(sensordata)
def test_properties(self):
sensordata = SensorData()
sensordata.id_sensor_data = 1
recordset = Recordset()
sensordata.recordset = recordset
sensor = Sensor()
sensordata.sensor = sensor
channel = Channel()
sensordata.channel = channel
sensordata.data_timestamp = 10
sensordata.data = [1, 2, 3, 4, 5]
self.assertEqual(sensordata.id_sensor_data, 1)
self.assertEqual(sensordata.recordset, recordset)
self.assertEqual(sensordata.sensor, sensor)
self.assertEqual(sensordata.channel, channel)
self.assertEqual(sensordata.data_timestamp, 10)
self.assertEqual(sensordata.data, [1, 2, 3, 4, 5])
def test_to_time_series(self):
sensordata = SensorData()
sensordata.id_sensor_data = 1
recordset = Recordset()
sensordata.recordset = recordset
sensor = Sensor()
sensor.sampling_rate = 5
sensor.data_rate = 1
sensordata.sensor = sensor
channel = Channel()
sensordata.channel = channel
sensordata.data = np.array([1, 2, 3, 4, 5], dtype=float)
sensordata.timestamps = SensorTimestamps()
sensordata.timestamps.timestamps = np.array([0, 1, 2, 3, 4],
dtype=np.float64)
sensordata.timestamps.update_timestamps()
print(sensordata.to_time_series())
print(sensordata)