import numpy as np
from datetime import datetime

class PlotData():
    def __init__(self):
        self.refresh_rate = 1 # ms
        self.timeout = 100 # cycles
        self.data = {"time": np.array([0])}
        self.start_time = datetime.utcnow()
        self.queues = {}



    def append_data(self, sensor_name, data):
        """

        """
        if sensor_name not in self.data:
            self.queues[sensor_name] = []
            self.data[sensor_name] = np.full_like(self.data["time"], np.nan)

        for data_tuple in data.values():
            self.queues[sensor_name].append(data_tuple)

        running = True
        while running:
            #TODO timeout clean
            for que in self.queues.values():
                if len(que) == 0:
                    running = False
                    break

            for sensor,que in self.queues.items():
                self.data[sensor] = np.append(self.data[sensor], que[0])
                que = que[1:]




        """
        TODO
         while true
             clean  delte all to old values
             for q in que:
                   if q is empty 
                        return
                   update np array
        """