61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
""" Turn JSON data stream into graphs"""
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import requests
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import matplotlib.pyplot as plt
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from matplotlib.animation import FuncAnimation
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url = "http://192.168.1.128"
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class SensorStream:
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def __init__(self) -> None:
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self.reset()
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def reset(self):
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self.error_values = []
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self.pid_outputs = []
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self.times = []
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def sensor_stream(self, frame):
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try:
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response = requests.get(url, timeout=1)
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except (
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requests.exceptions.ConnectTimeout,
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requests.exceptions.ReadTimeout,
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requests.exceptions.ConnectionError,
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):
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print("Waiting...")
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return
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print(f"Content: {response.content}")
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print(f"status: {response.status_code}")
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item = response.json()
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print(f"Received: {item}")
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if self.times and item["time"] < self.times[-1]:
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self.reset()
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self.times.append(item["time"])
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self.error_values.append(item["last_value"])
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self.pid_outputs.append(item["pid_output"])
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if len(self.times) > 100:
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self.times = self.times[-100:]
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self.error_values = self.error_values[-100:]
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self.pid_outputs = self.pid_outputs[-100:]
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plt.cla() # clear axes.
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# plot the items
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plt.plot(self.times, self.error_values, label="error")
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plt.plot(self.times, self.pid_outputs, label="pid")
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plt.legend(loc="upper right")
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def start(self):
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# Create the animation. GFC - get current figure. random_stream - callback func.
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self.ani = FuncAnimation(plt.gcf(), self.sensor_stream, interval=200)
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plt.tight_layout()
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plt.show()
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SensorStream().start()
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