lern-tracking-system/raspberry-pi/sensors/magneticSensor.py

import queue
import time
import threading
import random

from sensors.calibration import CalibrationStateMashine
from sensors.connection import globalArduinoSlave
import logHandler

conn = globalArduinoSlave()


class MagneticSensor:
  def __init__(self, conf):
    self.conf = conf
    self.queue = queue.Queue()
    self.calibration_state  = CalibrationStateMashine()
    self.log_handler = logHandler.get_log_handler() # neu
    self.success = False

    self.field_height = float(conf["field"]["y"])
    self.field_width = float(conf["field"]["x"])

    self.n = 0
  
    #pass

  def start(self):
    self.log_handler.log_and_print("start acoustic sensor")
    if not conn.isConnected():
      conn.open()
    conn.addRecvCallback(self._readCb)
    self.dummyActive = True
    dummyThread = threading.Thread(target=self._readCb_dummy)
    dummyThread.start()

  def _readCb(self, raw):
    print("mag: ", conn.getMagneticField())

  def _readCb_dummy(self):
    self.log_handler.log_and_print("acoustic sensor: generating test values")
    while self.dummyActive:
      dummyValue = 250
      position = 20

      self.pass_to_gui(position + dummyValue)

  def calibrate(self, x, y):
    pass

  def read(self):
    return conn.getMagneticField()

  def stop(self): # neu
    self.log_handler.log_and_print("stop magnetic sensor")
    conn.close()

  def pass_to_gui(self, data):
    self.queue.put(("data", data))