39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
import send_test_data
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import json
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import matplotlib.pyplot as plt
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import numpy as np
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from logger import logwriter
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import time
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data_store = []
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data_buffer = []
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times = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
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logpath = "log{}.txt".format(time.time())
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logs = True
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try:
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for data in send_test_data.data_test_forever():
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currentdata = json.loads(data)
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data_store.append(currentdata["V"])
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data_buffer = data_store[-20:]
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# draw graph
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fig, ax = plt.subplots()
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if currentdata["V"] > 160:
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ax.set_facecolor('red')
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ax.plot(times[:len(data_buffer)], data_buffer, 'k')
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warn = True
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else:
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ax.plot(times[:len(data_buffer)], data_buffer)
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warn = False
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ax.set_xlabel('Time [100 ms]')
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ax.set_ylabel('Value randomness')
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ax.set_title('Value randomness over time')
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plt.xticks(np.arange(1, 21, 1))
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plt.yticks(np.arange(0, 257, 32))
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plt.show()
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plt.close()
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if logs:
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logwriter(currentdata["V"], logpath, warn)
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except KeyboardInterrupt:
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exit(0)
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