72 lines
2.0 KiB
Python
72 lines
2.0 KiB
Python
import numpy as np
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from datetime import datetime
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from threading import Thread, Event
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from time import sleep, time
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from queue import Queue
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from random import random
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class MeasureWork(Thread):
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""" Communicates with the measuring hardware. Here we only produce random data. """
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def __init__(self, message_queue):
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super().__init__(name="Measure")
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self.message_queue = message_queue
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self.produceData = Event()
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self.exit_request = Event()
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self.file = open("temp.csv", "w")
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def run(self):
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""" Worker method of a python Thread. Called when the Thread is started. """
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while not self.exit_request.is_set():
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if self.produceData.is_set():
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temp = random()
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ts = datetime.now()
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self.message_queue.put((ts, temp))
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self.file.write(f"{ts} - {temp}\n")
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else:
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self.file.flush()
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sleep(1)
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class Measurement(object):
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"""docstring for Model."""
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def __init__(self):
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super(Measurement, self).__init__()
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self.data = []
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self.t = []
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self.measureQueue = Queue()
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self.measureThread = MeasureWork(self.measureQueue)
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self.measureThread.start()
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def start_measuring(self):
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self.measureThread.produceData.set()
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print("I started meas")
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def save_measuring(self, path="temp_temp.csv"):
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print("I saved meas")
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np.savetxt(path, np.array(self.data))
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def stop_measuring(self):
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self.measureThread.produceData.clear()
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print("I stopped meas")
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def clear(self):
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self.data = []
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self.t = []
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print("I cleared meas")
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def exit(self):
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self.stop_measuring()
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self.measureThread.exit_request.set()
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@property
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def get_data(self):
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while not self.measureQueue.empty():
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t, data = self.measureQueue.get()
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self.data.append(data)
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self.t.append(t)
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print(self.data)
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return self.t, self.data
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