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

class CalibrationStateMashine():

  def __init__(self,log_handler):
    self.state = 0
    self.progress = 0

    self.NOT_CALIBRATED = 0
    self.WAITING_POS_1  = 1
    self.ACCUMULATING_1 = 2
    self.WAITING_POS_2  = 3
    self.ACCUMULATING_2 = 4
    self.CALIBRATION_DONE = 5

    self.log_handler = log_handler
    
  def state_clearname(self):
    if self.state == self.NOT_CALIBRATED:
      return "not calibrated"
    elif self.state == self.WAITING_POS_1:
      return "Waiting for Position one"
    elif self.state == self.ACCUMULATING_1:
      return "gathering values on position one"
    elif self.state == self.WAITING_POS_2:
      return "Waiting for position two"
    elif self.state == self.ACCUMULATING_2:
      return "gathering values on position two"
    elif self.state == self.CALIBRATION_DONE:
      return "calibration done"
    
  def next_state(self):
    if self.state < self.CALIBRATION_DONE:
      self.state += 1
      print(self.state_clearname())

  def next_state_gui(self):
    print("next_state_gui",self.state_clearname())
    self.log_handler.add_item("next_state_gui",self.state_clearname())
    if self.state == self.WAITING_POS_1 or self.state == self.WAITING_POS_2:
      self.next_state()

  def get_state(self):
    return self.state

  def reset_state(self):
    self.state = 0
    self.progress = 0