Files
controller-wisetopdataserver/python/biopro/devlib/data.py
T
2021-12-22 14:37:13 +08:00

1602 lines
57 KiB
Python

import abc
import struct
import math
from typing import Optional, TypeVar, Generic, Tuple, Dict, List, AnyStr
from datetime import datetime
from biopro.recording import RecordingData, RecordingFileDataFormat
# from biopro.util.console import hex_line
T = TypeVar('T')
class EODInterrupt(RuntimeError):
"""End of Data interrupt.
"""
__slots__ = ()
class DataDecodeFormat(Generic[T], metaclass=abc.ABCMeta):
"""data decoder.
do not share this instance between data decoding handle, except you make sure it is safe.
"""
__slots__ = ()
@property
@abc.abstractmethod
def name(self) -> AnyStr:
"""decoder name
make sure that decoder and ``DataDecodeFormat.parse(decoder.name)`` are
functional equally.
:return: decoder name.
"""
pass
@property
@abc.abstractmethod
def format(self) -> bytes:
"""recording meta file format
:return:
"""
pass
def message(self) -> Optional[str]:
"""send message to front-end to indicate that data has changed something.
:return: message content
"""
return None
@abc.abstractmethod
def decode(self, data: bytes) -> Optional[T]:
"""
:param data: raw data
:return: decoded data
"""
pass
@classmethod
def parse(cls, expr: AnyStr) -> 'DataDecodeFormat':
if expr == NulDataDecoder.NAME:
return NulDataDecoder.INSTANCE
elif expr == RawDataDecoder.NAME:
return RawDataDecoder.INSTANCE
elif expr == TC4VAF2DataDecoder.NAME:
return TC4VAF2DataDecoder()
elif expr == TDC4VAF2DataDecoder.NAME:
return TDC4VAF2DataDecoder()
elif expr == TDC4VCDataDecoder.NAME:
return TDC4VCDataDecoder()
elif expr == I4V4Z4T4DataDecoder.NAME:
return I4V4Z4T4DataDecoder()
elif isinstance(expr, str):
raise RuntimeError('current not support custom data decode format : ' + expr)
elif isinstance(expr, bytes):
if expr.startswith(b'TDC4VAF2:'):
return TDC4VAF2DataDecoder(expr[9:])
elif expr.startswith(b'TDC4VC:'):
return TDC4VCDataDecoder(expr[7:])
elif expr.startswith(b'NeuliveThreeOne:'):
return NeuliveThreeOneDataDecoder(expr[16:])
elif expr.startswith(b'EISZeroOne:'):
return EISZeroOneDataDecoder(expr[11:])
raise RuntimeError('current not support custom data decode format : ' + str(expr))
def __str__(self):
return self.__class__.__name__
__repr__ = __str__
class NulDataDecoder(DataDecodeFormat[None]):
"""drop all data, decode always return None."""
NAME = 'NUL'
__slots__ = ()
@property
def name(self) -> str:
return self.NAME
@property
def format(self) -> bytes:
return RecordingFileDataFormat.RAW_DATA
def decode(self, data: bytes) -> None:
"""
:param data: raw data
:return: always None
"""
return None
NulDataDecoder.INSTANCE = NulDataDecoder()
class RawDataDecoder(DataDecodeFormat[bytes]):
NAME = 'RAW'
__slots__ = ()
@property
def name(self) -> str:
return self.NAME
@property
def format(self) -> bytes:
return RecordingFileDataFormat.RAW_DATA
def decode(self, data: bytes) -> bytes:
"""
:param data: raw data
:return: *data*
"""
return data
RawDataDecoder.INSTANCE = RawDataDecoder()
class Timer:
OVERFLOW = (int)(0xFFFF_FFFF / 31) # CC2650 device overflow value
__slots__ = '_start_time', '_prev_time', '_overflow', '_sum_timestamp', '_prev_prev_time'
def __init__(self):
self._start_time: Dict[int, float] = {}
self._prev_time: Dict[int, float] = {}
self._overflow: Dict[int, float] = {}
self._prev_prev_time: Dict[int, float] = {}
for dev_num in range(8):
self._start_time[dev_num] = None
def eis_get_time_stamp(self, device: int, time_stamp: float) -> Tuple[Optional[float], Optional[float]]:
if self._start_time[device] is None:
self._start_time[device] = time_stamp
self._prev_time[device] = time_stamp
self._prev_prev_time[device] = time_stamp
self._overflow[device] = 0
return 0, 0, False
prev_time = self._prev_time.get(device, None)
prev_prev_time = self._prev_prev_time.get(device, None)
overflow = self._overflow.get(device, 0)
start_time = self._start_time[device]
if prev_time is None:
self._prev_time[device] = time_stamp
self._overflow[device] = 0
ret = time_stamp - start_time
print("ignore prev_time is None; ", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, ",", datetime.now())
return ret, 0, False
# data duplicate
elif time_stamp == prev_time:
print("ignore time_stamp == prev_time; ", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, ",", datetime.now())
return None, None, True
# if (time_stamp > self.OVERFLOW - 1200) or (time_stamp < 0x0000_0050):
# print("right time [time:", time_stamp, ", prev_time:", prev_time, ']', datetime.now())
# time stamp overflow
if time_stamp < 0x0100_0000 and 0x0800_0000 < prev_time:
overflow += 1
self._overflow[device] = overflow
self._prev_time[device] = time_stamp
delta = time_stamp + (self.OVERFLOW + 1) - prev_time
ret = (self.OVERFLOW + 1) * overflow + time_stamp - start_time
print("time stamp overflow;", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, "; delta:", delta, ",", datetime.now())
print("overflow:", overflow, "; device:", device)
return ret, delta, False
# ignore negative delta
elif time_stamp < prev_time and time_stamp != 0:
print("ignore negative delta; ", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, ",", datetime.now())
return None, None, True
# # ignore big jump, if delta t > 30s, ignore
# elif time_stamp > prev_time and (time_stamp - prev_time > 60000) and prev_time != 0:
# print("ignore big jump;", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, ",", datetime.now())
# return None, None, True
else:
delta = time_stamp - prev_time
self._prev_time[device] = time_stamp
overflow = self._overflow[device]
ret = time_stamp + (self.OVERFLOW + 1) * overflow - start_time
self._prev_prev_time[device] = prev_time
return ret, delta, False
def get_time_stamp(self, device: int, time_stamp: float) -> Tuple[Optional[float], Optional[float]]:
if self._start_time[device] is None:
self._start_time[device] = time_stamp
self._prev_time[device] = time_stamp
self._prev_prev_time[device] = time_stamp
self._overflow[device] = 0
return 0, 0, False
prev_time = self._prev_time.get(device, None)
prev_prev_time = self._prev_prev_time.get(device, None)
overflow = self._overflow.get(device, 0)
start_time = self._start_time[device]
if prev_time is None:
self._prev_time[device] = time_stamp
self._overflow[device] = 0
ret = time_stamp - start_time
print("ignore prev_time is None; ", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, ",", datetime.now())
return ret, 0, False
# data duplicate
elif time_stamp == prev_time:
print("ignore time_stamp == prev_time; ", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, ",", datetime.now())
return None, None, True
# if (time_stamp > self.OVERFLOW - 1200) or (time_stamp < 0x0000_0050):
# print("right time [time:", time_stamp, ", prev_time:", prev_time, ']', datetime.now())
# time stamp overflow
if time_stamp < 0x0100_0000 and 0x0800_0000 < prev_time:
overflow += 1
self._overflow[device] = overflow
self._prev_time[device] = time_stamp
delta = time_stamp + (self.OVERFLOW + 1) - prev_time
ret = (self.OVERFLOW + 1) * overflow + time_stamp - start_time
print("time stamp overflow;", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, "; delta:", delta, ",", datetime.now())
print("overflow:", overflow, "; device:", device)
return ret, delta, False
# ignore negative delta
elif time_stamp < prev_time and time_stamp != 0:
print("ignore negative delta; ", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, ",", datetime.now())
return None, None, True
# ignore big jump, if delta t > 30s, ignore
elif time_stamp > prev_time and (time_stamp - prev_time > 60000) and prev_time != 0:
print("ignore big jump;", "time:", time_stamp, "; prev_time:", prev_time, "; prev_prev_time:", prev_prev_time, ",", datetime.now())
return None, None, True
else:
delta = time_stamp - prev_time
self._prev_time[device] = time_stamp
overflow = self._overflow[device]
ret = time_stamp + (self.OVERFLOW + 1) * overflow - start_time
self._prev_prev_time[device] = prev_time
return ret, delta, False
class RecDataDecoder(DataDecodeFormat[RecordingData], metaclass=abc.ABCMeta):
OVERFLOW = 0xFFFF_FFFF
__slots__ = '_device', 'timer'
def __init__(self):
self._device: int = 0
self.timer = Timer()
@property
def device(self) -> int:
return self._device
@device.setter
def device(self, value: int):
if not (0 <= value):
raise ValueError('illegal device value : ' + str(value))
self._device = value
@property
def format(self) -> bytes:
return RecordingFileDataFormat.REC_DATA
def get_time_stamp(self, time_stamp: float) -> Tuple[Optional[float], Optional[float]]:
return self.timer.get_time_stamp(self.device, time_stamp)
def eis_get_time_stamp(self, time_stamp: float) -> Tuple[Optional[float], Optional[float]]:
return self.timer.eis_get_time_stamp(self.device, time_stamp)
@abc.abstractmethod
def decode(self, data: bytes) -> Optional[RecordingData]:
pass
class TC4VAF2DataDecoder(RecDataDecoder):
"""
::
| | 1 | 2 | 3 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2
-----------------------------------------------------------------
| header | length |
| timestamp |
| data [0] | data[1] |
| ............................ | data[N] |
*data*
::
| | 1 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6
---------------------------------
|channel| value | F |
"""
NAME = 'TC4VAF2'
__slots__ = ('_prev_data',)
def __init__(self):
super().__init__()
self._prev_data: Optional[bytes] = None
@property
def name(self) -> str:
return self.NAME
def decode(self, data: bytes) -> Optional[RecordingData]:
if len(data) < 6:
return None
# hex_line(data)
data_length = int(data[1])
if data_length == 0:
return None
time_stamp: float = struct.unpack('<I', data[2:6])[0] # unit: 1/32ms
time_stamp, delta, ret_get_time_stamp = self.get_time_stamp(time_stamp)
if time_stamp is None:
return None
if time_stamp == 0:
self._prev_data = data
return None
prev_data = self._prev_data
self._prev_data = data
assert prev_data is not None
time_stamp /= 32 # unit: ms
data_length = int(prev_data[1])
sample_rate = 1000 * ((data_length - 4) / 2) / delta
ret = RecordingData(self.device, int(time_stamp), int(sample_rate))
for i in range(6, data_length + 2, 2):
d1 = data[i]
d2 = data[i + 1]
channel = (d1 & 0xF0) >> 4
value = ((d1 & 0x0F) << 6) | ((d2 & 0xFC) >> 2)
flag = d2 & 0b0011
if flag == 0:
ret.append_data(channel, value - 512)
else:
ret.append_data(channel, None)
return ret
class TDC4VAF2DataDecoder(RecDataDecoder):
"""
data format
-----------
::
| | 1 | 2 | 3 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2
-----------------------------------------------------------------
| header | length = N |
| timestamp |
| time delta |
| data [0] | data[1] |
| ............................ | data[N] |
*data*
::
| | 1 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6
---------------------------------
|channel| value | F |
cali coeff table format
-----------------------
TODO cali coeff table format
::
| | 1 | 2 | 3 | 4 | 5 | 6 |
01234567890123456789012345678901234567890123456789012345678901234
-----------------------------------------------------------------
| | c0 g0 amp | c0 g1 amp | c0 g2..
.. amp | | c0 g0 off | c0 g1..
.. off | c0 g2 off | | c1 g0..
| ............................................................. |
| cN g0 amp | cN g1 amp | cN g2 amp |.. (4 bytes) ..|
| cN g0 off | cN g1 off | cN g2 off |.. (4 bytes) ..|
"""
NAME = 'TDC4VAF2'
AMP_GAIN = (35, 75, 325)
__slots__ = 'amp_gain', 'data_counter', 'cali_coeff', '_cali_coeff'
def __init__(self, cali_coeff: bytes = None):
super().__init__()
self.amp_gain: int = 0
self.data_counter: int = 0
self._cali_coeff: Optional[bytes] = None
self.cali_coeff: Optional[List[Tuple[int, int]]] = None
if cali_coeff is not None:
self._cali_coeff = cali_coeff
self.cali_coeff = self._decode_cali_coeff(cali_coeff)
@staticmethod
def _decode_cali_coeff(self, cali_coeff: bytes) -> Optional[List[Tuple[int, int]]]:
if cali_coeff != b'':
cali_table = []
for i in range(0, 12): # foreach channel
for j in range(20 * i + 3, 20 * i + 9, 2):
amp = struct.unpack('>h', cali_coeff[j:j + 2])[0]
offset = struct.unpack('>h', cali_coeff[j + 10:j + 12])[0]
cali_table.append((amp, offset))
return cali_table
else:
return None
@property
def name(self) -> AnyStr:
if self._cali_coeff is None:
return self.NAME
else:
return self.NAME.encode() + b':' + self._cali_coeff
def decode(self, data: bytes) -> Optional[RecordingData]:
"""
data_counter is used for excluding data which were send from the beginning ( < 15 )with the wrong timestamp,
and these data will cause error while recording.
"""
if self.data_counter < 15:
self.data_counter += 1
else:
if len(data) < 8:
return None
# print(hex_line(data))
data_length = int(data[1])
if data_length == 0:
return None
time_stamp: float = struct.unpack('<I', data[2:6])[0] # unit: 1/32K sec, 1/32 ms
time_delta: float = struct.unpack('<H', data[6:8])[0] # unit: as above
time_stamp, _, ret_get_time_stamp = self.get_time_stamp(time_stamp)
if time_stamp is None:
return None
if data_length == 1 or int(time_delta) == 0:
sample_rate = 0
else:
# recalculate sample rate
sample_rate = 32769 * (data_length - 1) / time_delta # unit 1/s
ret = RecordingData(self.device, time_stamp / 32.769, int(sample_rate))
amp_gain = self.AMP_GAIN.index(self.amp_gain)
stop = len(data)
for i in range(data_length):
# avoid index out of range
offset = 8 + 2 * i
if offset + 1 < stop:
d1 = data[offset]
d2 = data[offset + 1]
channel = (d1 & 0xF0) >> 4
value = ((d1 & 0x0F) << 6) | ((d2 & 0xFC) >> 2)
flag = d2 & 0b0011
if flag != 0:
ret.append_data(channel, None)
else:
if channel < 12 and self.cali_coeff is not None:
gain, offset = self.cali_coeff[channel * 3 + amp_gain]
gain /= 2
if gain == 0:
cali_value = value - 512
else:
cali_value = int(1000 * ((value - 512 - offset) / gain))
else:
cali_value = value - 512
ret.append_data(channel, cali_value)
return ret
class TDC4VCDataDecoder(RecDataDecoder):
"""
::
| | 1 | 2 | 3 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2
-----------------------------------------------------------------
| header | length = N |
| timestamp |
| data [0] | data[1] |
| ............................ | data[15] |
*data*
::
| | 1 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6
---------------------------------
|channel| value | F |
"""
NAME = 'TDC4VC'
AMP_GAIN = (100, 400, 800, 25)
CH_NUMBER = 8
GAIN_LEVEL_NUMBER = 4
__slots__ = "_start_return_data", "_time_stamp", "_time_stamp_list", "_discard_data_counter", "_channel", 'amp_gain', 'data_counter', 'cali_coeff', '_cali_coeff', "_cycle_start_time", "_adc_clock", "_axis_ch", "_prev_delta_time","_prev_data", "_prev_time_stamp"
def __init__(self, cali_coeff: bytes = None):
super().__init__()
self._start_return_data = False
self._time_stamp = 0
self._time_stamp_list = []
self._discard_data_counter = 0
self._channel = 0
self._adc_clock = 0
self._axis_ch = 0
self.amp_gain: int = 0
self.data_counter: int = 0
self._cali_coeff: Optional[bytes] = None
self.cali_coeff: Optional[List[Tuple[int, int]]] = None
self._cycle_start_time = []
if cali_coeff is not None:
self._cali_coeff = cali_coeff
self.cali_coeff = self._decode_cali_coeff(cali_coeff)
self._prev_data = None
self._prev_delta_time = None
self._prev_time_stamp = None
@staticmethod
def _decode_cali_coeff(cali_coeff: bytes) -> Optional[List[Tuple[int, int]]]:
if cali_coeff != b'':
cali_table = []
max_length = 4
size_of_cali_data_per_amp_gain_level = 33
for i in range(0, max_length):
for j in range(1, size_of_cali_data_per_amp_gain_level, 4):
offset = i * size_of_cali_data_per_amp_gain_level + j
amp = struct.unpack('>h', cali_coeff[offset: offset + 2])[0]
offset = struct.unpack('>h', cali_coeff[offset + 2: offset + 4])[0]
cali_table.append((amp, offset))
# print('decode cali', i , j , amp , offset)
# print('cali_table', cali_table)
return cali_table
else:
print()
return None
@property
def name(self) -> AnyStr:
if self._cali_coeff is None:
return self.NAME
else:
return self.NAME.encode() + b':' + self._cali_coeff
@property
def real_sample_rate(self) -> int:
result = 0
if self._adc_clock != 0:
result = (200 / self._adc_clock) * 1000
return result
def decode(self, data: bytes) -> Optional[RecordingData]:
if len(data) < 20:
return None
# data_packet contains (data_length) pair of datas
data_length = int(data[1])
# axis data start in index (axis_start_index)
axis_start_index = 8 + data_length * 2
# data_packet contains (axis_data_length) pair of datas
axis_data_length = int((len(data) - axis_start_index) / 6)
if data_length == 0:
return None
time_stamp: float = struct.unpack('>I', data[2:6])[0]
time_delta: float = struct.unpack('>H', data[6:8])[0]
# print('absolute time_stamp', time_stamp * 1000 / 32)
"""
why multiple first then divide at last
"""
# time_stamp = time_stamp * 32 # unit: 1/32K sec, 1/32 ms
# time_delta = time_delta * 32 # unit: as above
''' garbage -> 0 -> real data'''
''' False -> True -> True '''
''' Some device will start early before enter decoder, so start flag will never enable'''
if time_stamp == 0 or (self._time_stamp != 0 and self._time_stamp < time_stamp):
self._start_return_data = True
if time_stamp is None or time_stamp == 0 or not self._start_return_data:
self._time_stamp = time_stamp
return None
if self._discard_data_counter < 10:
self._discard_data_counter += 1
return None
stop = len(data)
if time_stamp != 0 and self._start_return_data:
time_stamp, _ , ret_get_time_stamp = self.get_time_stamp(time_stamp)
if data_length == 1 or int(time_delta) == 0:
sample_rate = 0
if len(self._prev_time_stamp) > 0 and time_stamp is not None:
# print('prev_time_stamp, time_stamp', self._prev_time_stamp[0], time_stamp)
data_length_for_sample_rate = data_length
data_packets_time_delta = time_stamp - self._prev_time_stamp[0]
if self._prev_time_stamp[0] > time_stamp:
return None
if int(data_packets_time_delta / self._prev_delta_time[0]) >= 2 or self._prev_time_stamp[0] is None:
data_packets_time_delta = self._prev_delta_time[0]
# unit 1/s
sample_rate = 1000 * (data_length_for_sample_rate) / data_packets_time_delta
sample_rate_channel_upper_256 = sample_rate * axis_data_length / data_length
# print('sample_rate', sample_rate)
ret = RecordingData(self.device, (self._prev_time_stamp[0] * 1000), int(sample_rate), int(sample_rate_channel_upper_256), 4)
ret.cycle = self._cycle_start_time
# get user setting gain level
# and set amp_gain=0~3 => gain=25,100,400,800
amp_gain = self.amp_gain
amp_gain = amp_gain + 1
if amp_gain == 4:
amp_gain = 0
# decode recording data
for i in range(data_length):
# avoid index out of range
offset = 8 + 2 * i
if offset + 1 < stop:
d1 = (data[offset] & 0xF0) >> 4
d2 = (data[offset] & 0x0F)
d3 = data[offset + 1]
channel = d1
value = d2 << 8 | d3
# print("\nNeulive 3.x")
# print("channel", channel + 1)
# print("value", value - 2048)
# print("amp_gain = ", amp_gain)
# print("cali:", self.cali_coeff)
if channel < 8 and self._prev_data[0] is not None:
gain, offset = self._prev_data[0][8 * amp_gain + channel]
# print('cali_gain', gain)
# print('cali_offset', offset)
if gain == 0:
cali_value = value - 2048
elif gain == 1 and offset == 0:
cali_value = value - 2048
else:
cali_value = int(1000 * ((value - 2048 - offset) / gain))
else:
cali_value = value - 2048
# print('c,v', channel, cali_value)
ret.append_data(channel, cali_value)
# print('\n')
# decode 3-axis acc data
x_axis_acc_ch = 256
y_axis_acc_ch = 257
z_axis_acc_ch = 258
axis_acc_ch = 259
if self._axis_ch > 0:
axis_channel_allow = bin(self._axis_ch)[2:]
axis_channel_allow_list = [ch for ch in axis_channel_allow]
axis_channel_allow_list.reverse()
for i in range(axis_data_length):
x_axis_index: int = i*6 + axis_start_index
y_axis_index: int = i*6 + axis_start_index + 2
z_axis_index: int = i*6 + axis_start_index + 4
x_axis_data = data[x_axis_index] << 8 | data[x_axis_index + 1]
y_axis_data = data[y_axis_index] << 8 | data[y_axis_index + 1]
z_axis_data = data[z_axis_index] << 8 | data[z_axis_index + 1]
# using 2's complement
if x_axis_data >= 0x8000:
x_axis_data = x_axis_data - 0xFFFF
if y_axis_data >= 0x8000:
y_axis_data = y_axis_data - 0xFFFF
if z_axis_data >= 0x8000:
z_axis_data = z_axis_data - 0xFFFF
axis_data = int(math.sqrt(x_axis_data ** 2 + y_axis_data ** 2 + z_axis_data ** 2))
if len(axis_channel_allow_list) >= 1:
if int(axis_channel_allow_list[0]) == 1:
ret.append_data(x_axis_acc_ch, int(x_axis_data / 100))
if len(axis_channel_allow_list) >= 2:
if int(axis_channel_allow_list[1]) == 1:
ret.append_data(y_axis_acc_ch, int(y_axis_data / 100))
if len(axis_channel_allow_list) >= 3:
if int(axis_channel_allow_list[2]) == 1:
ret.append_data(z_axis_acc_ch, int(z_axis_data / 100))
if len(axis_channel_allow_list) >= 4:
if int(axis_channel_allow_list[3]) == 1:
ret.append_data(axis_acc_ch, int(axis_data / 100))
self._prev_data.pop()
self._prev_time_stamp.pop()
self._prev_delta_time.pop()
self._prev_data.append(self.cali_coeff)
self._prev_time_stamp.append(time_stamp)
self._prev_delta_time.append(time_delta)
return ret
else:
if time_stamp is not None:
self._prev_data.append(self.cali_coeff)
self._prev_time_stamp.append(time_stamp)
self._prev_delta_time.append(time_delta)
return None
class I4V4Z4T4DataDecoder(RecDataDecoder):
"""
::
| | 1 | 2 | 3 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2
-----------------------------------------------------------------
| header |
| current |
| voltage |
| impedance |
| time stamp |
| cycle number |
cycle number
for cyclic voltammetry use, we save it as channel number.
0xFF
"""
NAME = 'I4V4Z4T4'
MESSAGE_CYCLE_COMPLETE = 'CycleComplete'
__slots__ = ('_message', '_cycle_number', '_start_return_data', '_time_stamp',
'_total_time_stamp', '_mode', '_cycle_start_time',
'_mode_stop')
def __init__(self):
super().__init__()
self._cycle_number = 0
self._message: Optional[str] = None
self._start_return_data = False
self._time_stamp = 0
self._total_time_stamp = 0
self._mode_stop = 0
self._mode = 0
self._cycle_start_time = []
@property
def name(self) -> str:
return self.NAME
def message(self) -> Optional[str]:
ret = self._message
self._message = None
return ret
def decode(self, data: bytes) -> Optional[RecordingData]:
if len(data) < 18:
return None
current = struct.unpack('>i', data[1:5])[0] # unit: 1/1000 nA
voltage = struct.unpack('>i', data[5:9])[0] # unit: mV
impedance = struct.unpack('>i', data[9:13])[0] # unit: kOm
time_stamp: float = struct.unpack('<I', data[13:17])[0] # unit: ms
cycle_number = struct.unpack('>H', data[17:19])[0]
finish_mode_falg = data[19]
# print('decode', list(data[20:]))
mem_wrong = data[20]
mem_retry_cnt = data[21]
mem_green_wrong = data[22]
mem_green_retry_cnt = data[23]
ram_num = data[24]
broken_flag = data[-1]
if (finish_mode_falg & 0b11110000 == 0b10100000):
finishMode = True
else:
finishMode = False
if time_stamp == 0:
self._start_return_data = True
if time_stamp is None or time_stamp == 0 or not self._start_return_data:
return None
if time_stamp != 0 and self._start_return_data == True:
time_stamp, delta, ret_get_time_stamp = self.get_time_stamp(time_stamp)
if ret_get_time_stamp == True:
print("error timeStamp full data:", list(data), datetime.now(), '\n')
return None
else:
# print('|', time_stamp, '|', delta, '|', current, '|', voltage, '|', impedance,
# '|', cycle_number, '|', finishMode, '@', str(self.device))
# print('|', '{:10}'.format(time_stamp),
# '|', '{:10}'.format(delta),
# '|', '{:10}'.format(current),
# '|', '{:10}'.format(voltage),
# '|', '{:10}'.format(impedance),
# '|', '{:5}'.format(cycle_number),
# '|', '{:1}'.format(finishMode),
# '@', str(self.device), '|')
# print('|', '{:5}'.format(mem_wrong),
# '|', '{:5}'.format(mem_retry_cnt),
# '|', '{:5}'.format(mem_green_wrong),
# '|', '{:5}'.format(mem_green_retry_cnt),
# '|', '{:5}'.format(ram_num),
# '|', '{:5}'.format(broken_flag),
# '@', str(self.device), '|')
pass
if finishMode == True:
print("finishMode full data:", list(data), datetime.now())
self._mode_stop = 1
else:
self._mode_stop = 0
ret = RecordingData(self.device, int(time_stamp * 1000 / 2), 0)
ret.append_data(0, current)
ret.append_data(1, voltage)
ret.append_data(2, impedance)
ret.append_data(3, cycle_number)
# memoryboard information
ret.append_data(4, mem_wrong)
ret.append_data(5, mem_retry_cnt)
ret.append_data(6, mem_green_wrong)
ret.append_data(7, mem_green_retry_cnt)
ret.append_data(8, ram_num)
ret.append_data(9, broken_flag)
if cycle_number != self._cycle_number:
# notify cycle_number change
self._message = self.MESSAGE_CYCLE_COMPLETE + '=%d' % cycle_number
self._cycle_number = cycle_number
return ret
def isFinishMode(self) -> int:
return self._mode_stop
class TDBC4VCTHDataDecoder(RecDataDecoder):
"""
::
| | 1 | 2 | 3 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2
-----------------------------------------------------------------
| header | length |
| timestamp |
| | battery voltage |
|channel| channel voltage |
| stimulation remind times |
|channel| channel voltage |
| stimulation remind times |
"""
NAME = 'TDBC4VCTH'
__slots__ = ('_remind',)
def __init__(self):
super().__init__()
self._remind: int = 1
@property
def name(self) -> str:
return self.NAME
def decode(self, data: bytes) -> Optional[RecordingData]:
if self._remind == 0:
raise EODInterrupt()
if len(data) < 6:
return None
data_length = int(data[1])
if data_length == 0:
return None
time_stamp: float = struct.unpack('<I', data[2:6])[0]
time_stamp, _, ret_get_time_stamp = self.get_time_stamp(time_stamp)
ret = RecordingData(self.device, int(time_stamp), 0)
if data_length >= 8:
d1 = data[6]
d2 = data[7]
voltage = ((d1 & 0xF0) << 8) | (d2 & 0xFF)
voltage = 4300 * voltage / 4096
ret.append_data(0, int(voltage))
remind = 0
for i in range(8, data_length, 4):
d1 = data[i]
d2 = data[i + 1]
d3 = data[i + 2]
d4 = data[i + 3]
channel = (d1 >> 4) & 0x0F
value = ((d1 & 0x0F) << 8) | (d2 & 0xFF)
remind += ((d3 & 0xFF) << 8) | (d4 & 0xFF)
value = 26 * value - 25 * voltage
ret.append_data(channel, int(value))
self._remind = remind
return ret
class NeuliveThreeOneDataDecoder(RecDataDecoder):
"""
::
| | 1 | 2 | 3 |
0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2
-----------------------------------------------------------------
| timestamp |
|channel data # |
| delta time |
| channel data |
| x-axis acc data |
| y-axis acc data |
| z-axis acc data |
"""
NAME = 'NeuliveThreeOne'
AMP_GAIN = (100, 400, 800, 25)
CH_NUMBER = 8
GAIN_LEVEL_NUMBER = 4
__slots__ = ("_start_return_data", "_time_stamp", "_time_stamp_list", "_discard_data_counter",
"_channel", 'amp_gain', 'data_counter', 'cali_coeff', '_cali_coeff', "_cycle_start_time",
"_adc_clock", "_axis_ch", "_prev_delta_time","_prev_data", "_prev_time_stamp",
"_accelerator_sensitivity", '_prev_packet_delta_time', '_prev_packet_delta_mean')
def __init__(self, cali_coeff: bytes = None):
super().__init__()
self._start_return_data = False
self._time_stamp = 0
self._time_stamp_list = []
self._discard_data_counter = 0
self._channel = 0
self._adc_clock = 0
self._axis_ch = 0
self._accelerator_sensitivity = 0
self.amp_gain: int = 0
self.data_counter: int = 0
self._cali_coeff: Optional[bytes] = None
self.cali_coeff: Optional[List[Tuple[int, int]]] = None
self._cycle_start_time = []
if cali_coeff is not None:
self._cali_coeff = cali_coeff
self.cali_coeff = self._decode_cali_coeff(cali_coeff)
self._prev_data = None
self._prev_delta_time = None
self._prev_time_stamp = None
self._prev_packet_delta_time = []
self._prev_packet_delta_mean = None
@staticmethod
def _decode_cali_coeff(cali_coeff: bytes) -> Optional[List[Tuple[int, int]]]:
if cali_coeff != b'':
cali_table = []
max_length = 4
size_of_cali_data_per_amp_gain_level = 64
for i in range(0, max_length):
for j in range(0, size_of_cali_data_per_amp_gain_level, 4):
index = i * size_of_cali_data_per_amp_gain_level + j
amp = struct.unpack('>h', cali_coeff[index: index + 2])[0]
offset = struct.unpack('>h', cali_coeff[index + 2: index + 4])[0]
cali_table.append((amp, offset))
# print('decode cali', i , j , amp , offset)
# print('cali_table', cali_table)
return cali_table
else:
print()
return None
@property
def name(self) -> AnyStr:
if self._cali_coeff is None:
return self.NAME
else:
return self.NAME.encode() + b':' + self._cali_coeff
@property
def real_sample_rate(self) -> int:
result = 0
if self._adc_clock != 0:
result = (200 / self._adc_clock) * 1000
return result
def decode(self, data: bytes) -> Optional[RecordingData]:
if data is None:
return None
data_length = data[5]
# channel data & acc data number should be data_length+2
if (len(data)-8)/3 != data_length+2:
return None
axis_start_index = 8 + data_length * 3 # 239
axis_data_length = int((len(data) - axis_start_index) / 6)
time_stamp: int = struct.unpack('<I', data[1:5])[0] # unit us
time_delta: int = struct.unpack('<H', data[6:8])[0] # unit us
# print("chip id = ", data[0])
# print("data_length = ", data_length)
# print("time_stamp = ", data[1], data[2], data[3], data[4])
# print("time_delta = ", data[6], data[7])
stop = len(data)
if time_stamp != 0:
time_stamp, _, ret_get_time_stamp = self.get_time_stamp(time_stamp)
if time_stamp is None:
return None
if self._prev_time_stamp is None or len(self._prev_time_stamp) == 0:
self._prev_time_stamp.append(time_stamp)
self._prev_delta_time.append(time_delta)
return None
# is packet delta time normal?
data_packets_time_delta = time_stamp - self._prev_time_stamp[0]
# print("data_packets_time_delta = ", data_packets_time_delta, "; prev_time_stamp = ", self._prev_time_stamp[0])
if data_packets_time_delta <= 0:
return None
elif self._prev_packet_delta_mean is None or self._prev_packet_delta_mean == 0:
self._prev_packet_delta_time = []
self._prev_packet_delta_time.append(data_packets_time_delta)
self._prev_packet_delta_mean = sum(self._prev_packet_delta_time) / len(self._prev_packet_delta_time)
elif data_packets_time_delta > 3 * self._prev_packet_delta_mean:
# print("[warning] data lost time = ", time_stamp/1e6)
self._prev_packet_delta_mean = 0
self._prev_packet_delta_time = []
else:
# update packet delta standard
MAX_PREV_PACKET = 10
if len(self._prev_packet_delta_time) >= MAX_PREV_PACKET:
self._prev_packet_delta_time.pop(0)
self._prev_packet_delta_time.append(data_packets_time_delta)
self._prev_packet_delta_mean = sum(self._prev_packet_delta_time) / len(self._prev_packet_delta_time)
# get sample rate
if data_length == 1 or int(time_delta) == 0:
sample_rate = 0
acc_sample_rate = 0
else:
sample_rate = data_length * 1e6 / time_delta # unit 1/s
acc_sample_rate = sample_rate / data_length
# create record ret
ret = RecordingData(self.device, self._prev_time_stamp[0], int(sample_rate), int(acc_sample_rate), 4)
ret.cycle = self._cycle_start_time
# get user setting gain level
# and set amp_gain=0~3 => gain=25, 100, 400, 800
amp_gain = self.amp_gain
amp_gain = amp_gain + 1
if amp_gain == 4:
amp_gain = 0
# decode recording data
NUMBER_OF_CALI_CH = 16
for i in range(data_length):
# avoid index out of range
offset = 8 + 3 * i
if offset + 1 < stop:
ch = data[offset]
d1 = data[offset + 1]
d2 = data[offset + 2]
channel = ch
value = d1 << 8 | d2
if channel < NUMBER_OF_CALI_CH and self.cali_coeff is not None:
gain, offset = self.cali_coeff[NUMBER_OF_CALI_CH * amp_gain + channel]
if gain == 0:
cali_value = value - 2048
elif gain == 1 and offset == 0:
cali_value = value - 2048
else:
cali_value = int(1000 * ((value - 2048 - offset) / gain))
# print("gain = ", gain)
# print("offset = ", offset)
else:
cali_value = value - 2048
ret.append_data(channel, cali_value)
# print("\n")
# decode 3-axis acc data
x_axis_acc_ch = 256
y_axis_acc_ch = 257
z_axis_acc_ch = 258
axis_acc_ch = 259
divide_ratio = 0
if self._axis_ch > 0:
if self._accelerator_sensitivity == 0:
divide_ratio = 16384
elif self._accelerator_sensitivity == 1:
divide_ratio = 8192
elif self._accelerator_sensitivity == 2:
divide_ratio = 4096
elif self._accelerator_sensitivity == 3:
divide_ratio = 2048
axis_channel_allow = bin(self._axis_ch)[2:]
axis_channel_allow_list = [ch for ch in axis_channel_allow]
axis_channel_allow_list.reverse()
for i in range(axis_data_length):
x_axis_index: int = i*6 + axis_start_index
y_axis_index: int = i*6 + axis_start_index + 2
z_axis_index: int = i*6 + axis_start_index + 4
x_axis_data = data[x_axis_index + 1] << 8 | data[x_axis_index]
y_axis_data = data[y_axis_index + 1] << 8 | data[y_axis_index]
z_axis_data = data[z_axis_index + 1] << 8 | data[z_axis_index]
# print("x_axis_data = ", x_axis_data, "y_axis_data = ", y_axis_data, "z_axis_data", z_axis_data)
# using 2's complement
if x_axis_data >= 0x8000:
x_axis_data = x_axis_data - 0xFFFF
if y_axis_data >= 0x8000:
y_axis_data = y_axis_data - 0xFFFF
if z_axis_data >= 0x8000:
z_axis_data = z_axis_data - 0xFFFF
axis_data = int(math.sqrt(x_axis_data ** 2 + y_axis_data ** 2 + z_axis_data ** 2))
if self._axis_ch >= 1:
ret.append_data(x_axis_acc_ch, int((x_axis_data) / divide_ratio))
if self._axis_ch >= 2:
ret.append_data(y_axis_acc_ch, int((y_axis_data) / divide_ratio))
if self._axis_ch >= 4:
ret.append_data(z_axis_acc_ch, int((z_axis_data) / divide_ratio))
if self._axis_ch >= 8:
ret.append_data(axis_acc_ch, int((axis_data) / divide_ratio))
# update previous time stamp
self._prev_time_stamp.pop()
self._prev_delta_time.pop()
self._prev_time_stamp.append(time_stamp)
self._prev_delta_time.append(time_delta)
return ret
class EISZeroOneDataDecoder(RecDataDecoder):
"""
::S
| | 1 | 2 | 3 |
0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7
-----------------------------------------------------------------
| id |
| ch1 |
| ch2 |
| ch3 |
| timestamp |
| None |
| finishMode |
"""
NAME = 'EISZeroOne'
MESSAGE_CYCLE_COMPLETE = 'CycleComplete'
__slots__ = ('_message', '_cycle_number', '_start_return_data', '_time_stamp',
'_total_time_stamp', '_mode', '_cycle_start_time',
'_mode_stop', '_last_time_stamp', '_last_delta', '_cali_coeff',
'cali_coeff', '_ac_amp', '_mode', '_freq_start', '_freq_stop',
'_freq_direction', '_last_phase', '_first_phase_flag')
def __init__(self, cali_coeff: bytes = None):
super().__init__()
self._cycle_number = 0
self._message: Optional[str] = None
self._start_return_data = False
self._time_stamp = 0
self._total_time_stamp = 0
self._mode_stop = 0
self._cycle_start_time = []
self._ac_amp: int = 0
self._mode: int = 0
self._freq_start: int = 0
self._freq_stop: int = 0
self._freq_direction = 0
self._last_phase = 0
self._first_phase_flag = 1
self._cali_coeff: Optional[bytes] = None
self.cali_coeff: Optional[List[Tuple[int, int]]] = None
if cali_coeff is not None:
self._cali_coeff = cali_coeff
self.cali_coeff = self._decode_cali_coeff(cali_coeff)
@staticmethod
def _decode_cali_coeff(cali_coeff: bytes) -> Optional[List[Tuple[int, int]]]:
if cali_coeff != b'':
cali_table = []
phase_para_a = []
phase_para_b = []
hsrtia_a = []
hsrtia_b = []
hsrtia_c = []
hsrtia_d = []
# print('cali_coeff', cali_coeff)
cutoff_freq = struct.unpack('>I', cali_coeff[1:5])[0] * 100 #4
# temp = struct.unpack('>B', cali_coeff[5:6])[0] #1
# hsrtia_200r = struct.unpack('>B', cali_coeff[6:7])[0] #1
# hsrtia_5k = struct.unpack('>H', cali_coeff[7:9])[0] #2
# hsrtia_20k = struct.unpack('>H', cali_coeff[6:8])[0] #2
# hsrtia_160k = struct.unpack('>I', cali_coeff[8:12])[0] #4
index = 20
for i in range(index, index+16, 8):
phase_para_a.append(struct.unpack('>I', cali_coeff[i+1:i+5])[0])
phase_para_b.append(struct.unpack('>i', cali_coeff[i+5:i+9])[0])
index = 40
for i in range(index, index+16, 8):
phase_para_a.append(struct.unpack('>I', cali_coeff[i+1:i+5])[0])
phase_para_b.append(struct.unpack('>i', cali_coeff[i+5:i+9])[0])
#Lv[0] 160k
index = 60
hsrtia_a.append(struct.unpack('>I', cali_coeff[index+1:index+5])[0]/1e8)
hsrtia_b.append(struct.unpack('>i', cali_coeff[index+5:index+9])[0]/1e8)
hsrtia_c.append(struct.unpack('>i', cali_coeff[index+9:index+13])[0]/1e4)
hsrtia_d.append(struct.unpack('>B', cali_coeff[index+13:index+14])[0])
#Lv[1] 20k
index = 80
hsrtia_a.append(struct.unpack('>I', cali_coeff[index+1:index+5])[0]/1e8)
hsrtia_b.append(struct.unpack('>i', cali_coeff[index+5:index+9])[0]/1e8)
hsrtia_c.append(struct.unpack('>I', cali_coeff[index+9:index+13])[0]/1e4)
hsrtia_d.append(struct.unpack('>B', cali_coeff[index+13:index+14])[0])
#Lv[2] 5k
index = 100
hsrtia_a.append(struct.unpack('>I', cali_coeff[index+1:index+5])[0]/1e8)
hsrtia_b.append(struct.unpack('>i', cali_coeff[index+5:index+9])[0]/1e8)
hsrtia_c.append(struct.unpack('>I', cali_coeff[index+9:index+13])[0]/1e4)
hsrtia_d.append(struct.unpack('>B', cali_coeff[index+13:index+14])[0])
#Lv[3] 200R
index = 120
hsrtia_a.append(struct.unpack('>I', cali_coeff[index+1:index+5])[0])
hsrtia_b.append(struct.unpack('>I', cali_coeff[index+5:index+9])[0]/1e6)
hsrtia_c.append(struct.unpack('>I', cali_coeff[index+9:index+13])[0]/1e5)
hsrtia_d.append(struct.unpack('>I', cali_coeff[index+13:index+17])[0]/1e6)
# print('cutoff_freq', cutoff_freq)
# print('hsrtia_a', hsrtia_a)
# print('hsrtia_b', hsrtia_b)
# print('hsrtia_c', hsrtia_c)
# print('hsrtia_d', hsrtia_d)
# print('phase_para_a', phase_para_a)
# print('phase_para_b', phase_para_b)
cali_table.append((cutoff_freq, phase_para_a, phase_para_b, hsrtia_a, hsrtia_b, hsrtia_c, hsrtia_d))
return cali_table
else:
print()
return None
@property
def name(self) -> AnyStr:
if self._cali_coeff is None:
return self.NAME
else:
return self.NAME.encode() + b':' + self._cali_coeff
def message(self) -> Optional[str]:
ret = self._message
self._message = None
return ret
def decode(self, data: bytes) -> Optional[RecordingData]:
if len(data) < 18:
return None
ch1 = struct.unpack('>i', data[1:5])[0] # unit: 1/1000 nA
ch2 = struct.unpack('>i', data[5:9])[0] # unit: mV
ch3 = struct.unpack('>i', data[9:13])[0] # unit: kOm
time_stamp: float = struct.unpack('<I', data[13:17])[0] # unit: ms
cycle_number = struct.unpack('>H', data[17:19])[0]
d19 = data[19]
gain = (d19 & 0x0F)
finishMode = (d19 & 0x80) >> 7
if time_stamp == 0:
self._start_return_data = True
if time_stamp is None or time_stamp == 0 or not self._start_return_data:
return None
if time_stamp != 0 and self._start_return_data == True:
if (self._mode == 0):
time_stamp, delta, ret_get_time_stamp = self.eis_get_time_stamp(time_stamp)
else:
time_stamp, delta, ret_get_time_stamp = self.get_time_stamp(time_stamp)
if time_stamp is None or time_stamp < 0 or delta < 0:
print("error timeStamp full data:", list(data), datetime.now(), '\n')
return None
else:
if self.cali_coeff is not None and self._mode == 0:
phase_para_a = []
phase_para_b = []
hsrtia_a = []
hsrtia_b = []
hsrtia_c = []
hsrtia_d = []
cutoff_freq, phase_para_a, phase_para_b, hsrtia_a, hsrtia_b, hsrtia_c, hsrtia_d = self.cali_coeff[0]
voltage_amp = round(self._ac_amp * 800 / 2047) # use UI value
if (self._freq_start > self._freq_stop):
self._freq_direction = 0
else:
self._freq_direction = 1
if (self._mode == 0):
img = ch1
real = ch2
freq = ch3
voltage_mag = math.sqrt(img ** 2 + real ** 2) * (1 + freq ** 2 / cutoff_freq ** 2)
if (gain == 3):
current = hsrtia_a[gain] * math.exp(hsrtia_b[gain] * voltage_mag) + hsrtia_c[gain] * math.exp(hsrtia_d[gain] * voltage_mag)
else:
current = voltage_mag ** 2 * hsrtia_a[gain] + voltage_mag * hsrtia_b[gain] + hsrtia_c[gain]
if (current != 0):
impedance = voltage_amp * 1000000 / current
else:
impedance = 0
if (real > 0):
raw_phase = math.atan(img / real) * 180 / math.pi
elif (real == 0):
raw_phase = 90
else:
raw_phase = math.atan(img / real) * 180 / math.pi + 180
if (freq >= 1000000): # 10000 Hz
i = 0
elif (freq >= 10000): # 100 Hz
i = 1
elif (freq >= 1000): # 10 Hz
i = 2
elif (freq >= 1): # 0.01 Hz
i = 3
ideal_raw_phase = phase_para_a[i] /1e10 * freq + phase_para_b[i] / 1e6
phase = raw_phase - ideal_raw_phase
if (self._first_phase_flag):
self._last_phase = phase
self._first_phase_flag = 0
elif (abs(phase - self._last_phase) >= 200):
phase -= 360
self._last_phase = phase
imag_after_cal = impedance * math.sin(round(phase) * math.pi / 180)
real_after_cal = impedance * math.cos(round(phase) * math.pi / 180)
if (self._mode == 0):
# print('|', '{:10}'.format(time_stamp),
# '|', '{:5}'.format(delta),
# '|', '{:6}'.format(ch1),
# '|', '{:6}'.format(ch2),
# '|', '{:8}'.format(ch3 / 100),
# '|', '{:6}'.format(round(voltage_mag)),
# '|', '{:5}'.format(int(imag_after_cal)),
# '|', '{:5}'.format(int(real_after_cal)),
# '|', '{:5}'.format(round(impedance)),
# '|', '{:5}'.format(round(phase, 1)),
# '|', '{:5}'.format(round(current, 3)),
# '|', '{:1}'.format(gain),
# '|', '{:1}'.format(finishMode),
# '@', str(self.device), '|')
pass
else:
# print('|', '{:10}'.format(time_stamp),
# '|', '{:5}'.format(delta),
# '|', '{:5}'.format(ch1),
# '|', '{:5}'.format(ch2),
# '|', '{:5}'.format(ch3),
# '|', '{:5}'.format(cycle_number),
# '|', '{:1}'.format(gain),
# '|', '{:1}'.format(finishMode),
# '@', str(self.device), '|')
pass
if finishMode == True:
print("finishMode full data:", list(data), datetime.now())
self._mode_stop = 1
else:
self._mode_stop = 0
ret = RecordingData(self.device, int(time_stamp * 1000 / 2), 0)
if (self._mode == 0): #EIS Mode
ret.append_data(3, cycle_number)
ret.append_data(0, ch1) #Raw Imag
ret.append_data(1, ch2) #Raw Real
ret.append_data(2, ch3 * 10) #Frequency [mHz]
ret.append_data(4, round(imag_after_cal)) #Z_imag [Ohm]
ret.append_data(5, round(real_after_cal)) #Z_real [Ohm]
ret.append_data(6, round(impedance)) #Impedance [Ohm]
ret.append_data(7, round(phase)) #Phase [degree]
ret.append_data(8, round(current)) #Current [nA]
ret.append_data(9, gain) #Gain Level
else: #CV Mode
ret.append_data(3, cycle_number)
ret.append_data(0, ch1) #Iin [nA]
ret.append_data(1, ch2) #Vset [nV]
ret.append_data(2, ch3) #Vout [nV]
if cycle_number != self._cycle_number:
# notify cycle_number change
self._message = self.MESSAGE_CYCLE_COMPLETE + '=%d' % cycle_number
self._cycle_number = cycle_number
# print("$$$ real_time_stamp $$$")
# print(time_stamp)
return ret
def isFinishMode(self) -> int:
return self._mode_stop