import numpy as np
from datetime import datetime
from threading import Thread, Event
from time import sleep, time
from queue import Queue
from random import random


class MeasureWork(Thread):
    def __init__(self, message_queue):
        super().__init__(name="Measure")
        self.message_queue = message_queue
        self.produceData = Event()
        self.file = open("temp.csv", "w")

    def run(self):
        while True:
            if self.produceData.is_set():
                temp = random()
                ts = datetime.now()
                self.message_queue.put((ts, temp))
                self.file.write(f"{ts} - {temp}\n")
            else:
                self.file.flush()
            sleep(1)


class Model(object):
    """docstring for Model."""

    def __init__(self):
        super(Model, self).__init__()
        self.data = []
        self.t = []
        self.measureQueue = Queue()
        self.measureThread = MeasureWork(self.measureQueue)
        self.measureThread.start()

    def startMeasureing(self):
        self.measureThread.produceData.set()
        print("I started meas")

    def saveMeasureing(self, path='temp_temp.csv'):
        print("I saved meas")
        np.savetxt(path, np.array(self.data))

    def stopMeasureing(self):
        self.measureThread.produceData.clear()
        print("I started meas")

    def clear(self):
        self.data = []
        self.t = []
        print("I started meas")

    @property
    def getData(self):
        while not self.measureQueue.empty():
            t, data = self.measureQueue.get()
            self.data.append(data)
            self.t.append(t)
            print(self.data)
        return self.t, self.data