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CaptureAllDataDongle.py
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executable file
·297 lines (240 loc) · 11.8 KB
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from __future__ import print_function
from mbientlab.metawear import MetaWear, libmetawear, parse_value
from mbientlab.metawear.cbindings import *
from mbientlab.metawear.cbindings import FnVoid_VoidP_VoidP
from time import sleep
import platform
import sys
import signal
import time, datetime
import csv, os
import subprocess
# Variables globales para los datos de sensores
sensor_data = []
states = [] # Aquí se almacenan las instancias de State
# Definir direcciones MAC de sensores y dongles directamente en el código
sensor_addresses = [
# "EE:1B:72:FA:BF:E8"
# "F1:1E:E2:6F:1D:E1",
# "CE:94:48:FE:5D:C5"
"F7:68:55:8D:84:0E"
# "F9:8C:1E:4A:F5:D0",
# "FA:F1:20:99:CB:B4"
]
dongles = [
# "00:E0:5C:48:06:BD",
# "00:E0:5C:48:01:34",
# "00:E0:5C:48:03:93"
"3C:0A:F3:10:17:F0"
]
def force_disconnect_sensors():
print("Escaneando y desconectando sensores en todos los dongles...")
try:
# Verificar qué dongles están disponibles
result = subprocess.run(["hcitool", "dev"], capture_output=True, text=True)
dongles = [line.split()[1] for line in result.stdout.splitlines() if "hci" in line]
if not dongles:
print("No se detectaron dongles Bluetooth. Verifica que estén conectados.")
return
print(f"Dongles detectados: {dongles}")
# Obtener todos los dispositivos conectados
result = subprocess.run(["hcitool", "con"], capture_output=True, text=True)
connections = result.stdout.splitlines()
for line in connections:
if "handle" in line:
parts = line.split()
mac_address = parts[2] # Extraer MAC Address del sensor
print(f"Desconectando {mac_address} en todos los dongles...")
# Intentar desconectar el dispositivo en cada dongle
for dongle in dongles:
subprocess.run(["bluetoothctl", "disconnect", mac_address], capture_output=True, text=True)
subprocess.run(["bluetoothctl", "remove", mac_address], capture_output=True, text=True)
# Habilitar Bluetooth en caso de que estuviera bloqueado
subprocess.run(["rfkill", "unblock", "bluetooth"])
print("Todos los sensores han sido desconectados correctamente.")
sleep(2)
except Exception as e:
print(f"Error al desconectar sensores: {e}")
# Definicion del manejador ISR
def handler_timer(signum, frame):
# Aqui se van a guardar los datos que contiene el vector de 14 posiciones en un arreglo
for state in states:
latest_data = state.get_latest_data()
state.samples += 1
# Verificar que no haya datos vacíos (None) en la lectura actual
if None not in latest_data['quaternion']:
# Nombre del archivo CSV basado en la dirección MAC
file_name = f"sensor_data_{state.device.address}.csv"
# Verificar si el archivo existe, si no, escribir el encabezado
file_exists = os.path.isfile(file_name)
# Escribir datos en el archivo CSV
with open(file_name, mode='a', newline='') as file:
writer = csv.writer(file)
# Si el archivo no existe, escribimos los encabezados
if not file_exists:
writer.writerow([
# 'time',
'time',
'timestamp',
'quat_w', 'quat_x', 'quat_y', 'quat_z',
])
# Obtener el tiempo actual en formato HH:MM:SS
# current_time = datetime.datetime.now().strftime('%H:%M:%S')
current_time2 = datetime.datetime.now().strftime('%H:%M:%S.%f')[:-4] # Usamos [: -4] para truncar a dos dígitos en milisegundos
# Escribir los datos reales
writer.writerow([
# current_time,
current_time2,
latest_data['timestamp'],
*latest_data['quaternion'],
])
class State:
def __init__(self, device):
self.device = device
self.samples = 0
self.latest_data = [None] * 5 # 11 posiciones: timestamp + quaternion + acc + gyro
self.quaternion_callback = FnVoid_VoidP_DataP(self.quaternion_handler)
# self.acc_callback = FnVoid_VoidP_DataP(self.acc_handler)
# self.gyro_callback = FnVoid_VoidP_DataP(self.gyro_handler)
# self.mag_callback = FnVoid_VoidP_DataP(self.mag_handler)
def quaternion_handler(self, ctx, data):
quaternion = parse_value(data)
timestamp = time.time()
self.latest_data[0] = timestamp
self.latest_data[1:5] = [quaternion.w, quaternion.x, quaternion.y, quaternion.z]
# self.samples += 1
# def acc_handler(self, ctx, data):
# acc = parse_value(data)
# self.latest_data[5:8] = [acc.x, acc.y, acc.z]
# def gyro_handler(self, ctx, data):
# gyro = parse_value(data)
# self.latest_data[8:11] = [gyro.x, gyro.y, gyro.z]
# def mag_handler(self, ctx, data):
# mag = parse_value(data)
# self.latest_data[11:14] = [mag.x, mag.y, mag.z]
def get_latest_data(self):
# Devolver los datos más recientes de timestamp, quaternion, acc, gyro, y mag
return{
'timestamp': self.latest_data[0],
'quaternion': self.latest_data[1:5],
# 'acc': self.latest_data[5:8],
# 'gyro': self.latest_data[8:11]
# 'mag': self.latest_data[11:14]
}
def assign_sensors_to_dongles(sensor_addresses, dongles):
"""
Asigna sensores a dongles de manera equitativa, máximo 2 sensores por dongle.
"""
dongle_assignments = {dongle: [] for dongle in dongles}
for i, sensor in enumerate(sensor_addresses):
dongle = dongles[i % len(dongles)] # Asignación circular
dongle_assignments[dongle].append(sensor)
return dongle_assignments
def connect_sensors(sensor_addresses, dongles, max_retries=5):
global states
dongle_assignments = assign_sensors_to_dongles(sensor_addresses, dongles)
for dongle, sensors in dongle_assignments.items():
print(f"Using dongle {dongle} for sensors: {sensors}")
for address in sensors:
connected = False
for attempt in range(max_retries):
try:
d = MetaWear(address, hci_mac=dongle) # Conexión específica al dongle
d.connect()
if d.is_connected:
print(f"Connected to {d.address} via dongle {dongle}")
state = State(d)
states.append(state)
connected = True
break
else:
print(f"Failed to connect to {d.address} via {dongle}")
except Exception as e:
print(f"Connection attempt {attempt + 1} to {address} via {dongle} failed: {e}")
sleep(2) # Espera antes de reintentar
if not connected:
print(f"Could not connect to sensor {address} after {max_retries} attempts.")
sys.exit(1) # Salir si algún sensor no se conecta
return states
def configure_and_subscribe_sensors(states):
for state in states:
d = state.device
print("Configuring device " + d.address)
libmetawear.mbl_mw_settings_set_connection_parameters(d.board, 30.0, 50.0, 0, 4000)
sleep(1.5)
# Configuración de Sensor Fusion
libmetawear.mbl_mw_sensor_fusion_set_mode(d.board, SensorFusionMode.IMU_PLUS)
libmetawear.mbl_mw_sensor_fusion_set_acc_range(d.board, SensorFusionAccRange._8G)
libmetawear.mbl_mw_sensor_fusion_set_gyro_range(d.board, SensorFusionGyroRange._2000DPS)
libmetawear.mbl_mw_sensor_fusion_write_config(d.board)
# Suscripción a quaternion
signal_quat = libmetawear.mbl_mw_sensor_fusion_get_data_signal(d.board, SensorFusionData.QUATERNION)
libmetawear.mbl_mw_datasignal_subscribe(signal_quat, None, state.quaternion_callback)
# # Suscripción a acelerómetro
# signal_acc = libmetawear.mbl_mw_acc_get_acceleration_data_signal(d.board)
# libmetawear.mbl_mw_datasignal_subscribe(signal_acc, None, state.acc_callback)
# # Suscripción a giroscopio
# signal_gyro = libmetawear.mbl_mw_gyro_bmi160_get_rotation_data_signal(d.board)
# libmetawear.mbl_mw_datasignal_subscribe(signal_gyro, None, state.gyro_callback)
# # Suscripción a magnetómetro
# signal_mag = libmetawear.mbl_mw_mag_bmm150_get_b_field_data_signal(d.board)
# libmetawear.mbl_mw_datasignal_subscribe(signal_mag, None, state.mag_callback)
# Habilitar y comenzar a obtener datos de todos los sensores
libmetawear.mbl_mw_sensor_fusion_enable_data(d.board, SensorFusionData.QUATERNION)
# libmetawear.mbl_mw_acc_enable_acceleration_sampling(d.board)
# libmetawear.mbl_mw_gyro_bmi160_enable_rotation_sampling(d.board)
# libmetawear.mbl_mw_mag_bmm150_enable_b_field_sampling(d.board)
libmetawear.mbl_mw_sensor_fusion_start(d.board)
# libmetawear.mbl_mw_acc_start(d.board)
# libmetawear.mbl_mw_gyro_bmi160_start(d.board)
# libmetawear.mbl_mw_mag_bmm150_start(d.board)
return states
def disconnect_sensors(states):
for state in states:
print("Disconnecting device " + state.device.address)
# Stop signals
libmetawear.mbl_mw_sensor_fusion_stop(state.device.board)
# libmetawear.mbl_mw_acc_stop(state.device.board)
# libmetawear.mbl_mw_gyro_bmi160_stop(state.device.board)
# libmetawear.mbl_mw_mag_bmm150_stop(state.device.board)
# Disable signals
# libmetawear.mbl_mw_acc_disable_acceleration_sampling(state.device.board)
# libmetawear.mbl_mw_gyro_bmi160_disable_rotation_sampling(state.device.board)
# libmetawear.mbl_mw_mag_bmm150_disable_b_field_sampling(state.device.board)
# Unsubscribe signals
signal_quat = libmetawear.mbl_mw_sensor_fusion_get_data_signal(state.device.board, SensorFusionData.QUATERNION)
# signal_acc = libmetawear.mbl_mw_acc_get_acceleration_data_signal(state.device.board)
# signal_gyro = libmetawear.mbl_mw_gyro_bmi160_get_rotation_data_signal(state.device.board)
# signal_mag = libmetawear.mbl_mw_mag_bmm150_get_b_field_data_signal(state.device.board)
libmetawear.mbl_mw_datasignal_unsubscribe(signal_quat)
# libmetawear.mbl_mw_datasignal_unsubscribe(signal_acc)
# libmetawear.mbl_mw_datasignal_unsubscribe(signal_gyro)
# libmetawear.mbl_mw_datasignal_unsubscribe(signal_mag)
libmetawear.mbl_mw_debug_disconnect(state.device.board)
print("Disconnected from " + state.device.address)
sleep(1)
print("Total Samples Received")
for state in states:
print("%s -> %d" % (state.device.address, state.samples))
def on_disconnect(ctx, board):
print("Lost connection, attempting to reconnect…")
# tear down your state for this device, then:
board.connect(board.address, board.hci_mac)
def main():
force_disconnect_sensors()
states = connect_sensors(sensor_addresses, dongles)
configure_and_subscribe_sensors(states)
# Configuracion del manejador ISR
signal.signal(signal.SIGALRM, handler_timer)
signal.setitimer(signal.ITIMER_REAL, 0.02, 0.02)
def signal_handler(sig, frame):
signal.setitimer(signal.ITIMER_REAL, 0, 0)
print("\nCtrl+C detected, disconnecting sensors...")
disconnect_sensors(states)
sys.exit(0)
signal.signal(signal.SIGINT, signal_handler)
print("Streaming data... Press Ctrl+C to stop.")
while True:
time.sleep(5) # Mantener viva la ejecución del hilo principal
if __name__ == "__main__":
main()