forked from M-Labs/thermostat
PyThermostat: Add main function to plot.py
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@ -5,13 +5,15 @@ import matplotlib.animation as animation
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from threading import Thread, Lock
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from pythermostat.client import Client
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TIME_WINDOW = 300.0
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tec = Client()
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target_temperature = tec.get_pid()[0]['target']
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print("Channel 0 target temperature: {:.3f}".format(target_temperature))
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def main():
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TIME_WINDOW = 300.0
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class Series:
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tec = Client()
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target_temperature = tec.get_pid()[0]['target']
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print("Channel 0 target temperature: {:.3f}".format(target_temperature))
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class Series:
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def __init__(self, conv=lambda x: x):
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self.conv = conv
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self.x_data = []
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@ -28,7 +30,7 @@ class Series:
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self.x_data = self.x_data[drop:]
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self.y_data = self.y_data[drop:]
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series = {
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series = {
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# 'adc': Series(),
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# 'sens': Series(lambda x: x * 0.0001),
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'temperature': Series(),
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@ -41,12 +43,12 @@ series = {
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'tec_i': Series(),
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'tec_u_meas': Series(),
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# 'interval': Series(),
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}
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series_lock = Lock()
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}
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series_lock = Lock()
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quit = False
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quit = False
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def recv_data(tec):
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def recv_data(tec):
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global last_packet_time
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while True:
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data = tec.get_report()
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@ -65,16 +67,16 @@ def recv_data(tec):
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break
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time.sleep(0.05)
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thread = Thread(target=recv_data, args=(tec,))
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thread.start()
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thread = Thread(target=recv_data, args=(tec,))
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thread.start()
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fig, ax = plt.subplots()
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fig, ax = plt.subplots()
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for k, s in series.items():
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for k, s in series.items():
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s.plot, = ax.plot([], [], label=k)
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legend = ax.legend()
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legend = ax.legend()
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def animate(i):
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def animate(i):
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min_x, max_x, min_y, max_y = None, None, None, None
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series_lock.acquire()
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@ -119,13 +121,17 @@ def animate(i):
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margin_y = 0.01 * (max_y - min_y)
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ax.set_ylim(min_y - margin_y, max_y + margin_y)
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global legend
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nonlocal legend
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legend.remove()
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legend = ax.legend()
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ani = animation.FuncAnimation(
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ani = animation.FuncAnimation(
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fig, animate, interval=1, blit=False, save_count=50)
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plt.show()
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quit = True
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thread.join()
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plt.show()
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quit = True
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thread.join()
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if __name__ == "__main__":
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main()
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