class SquelchAlgorithmClass:

    # assuming one data point (a temperature) taken every minute during interval length
    def __init__(self, interval_len, threshold=29):
        self.data_points = []
        self.moving_average = 0
        self.interval_len = interval_len
        self.state = "OFF"
        self.threshold = threshold
        self.state_history = {} # dictionary, can also be used for finding running average of total time
        self.max_temp = 0

    # Need more checks: if no AC, house could be above threshold temp
    def update_moving_average(self, new_temp):
        if new_temp > self.threshold and new_temp > 3 + self.moving_average: # if hot and large increase in temp
            self.state = 'ON'
            # self.state_history[timestamp] = 'ON'
            if new_temp > self.max_temp:
                self.max_temp = new_temp
        else:
            self.state = 'OFF'
            # self.state_history[timestamp] = 'OFF'
        if self.state == 'OFF': # Moving average only updates if the stove is off
            if len(self.data_points) == self.interval_len:
                self.moving_average = (self.moving_average * len(self.data_points) + new_temp - self.data_points[0]) / self.interval_len
                self.data_points.pop(0)
            else:
                self.moving_average = (self.moving_average * len(self.data_points) + new_temp) / len(self.data_points)
            self.data_points.append(new_temp)
        else:
            # determining if in simmer mode

    # Returns the moving average.
    def moving_average(self):
        return self.moving_average

    # Returns the moving average of how long the stove has been on
    def moving_average_time(self):
        # total_time = 0
        # num_times = 0
        # for key in self.state_history.keys():
                # if self.state_history[key] == 'ON':
        return