137 lines
3.9 KiB
Python
137 lines
3.9 KiB
Python
import tkinter as tk
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import matplotlib.pyplot as plt
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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import asyncio
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from .filter import *
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from .gui.device import Device
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from .gui.toolbar import RecordForm, FilterForm, DataStats
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class FilterDevApp(tk.Tk):
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def __init__(self, loop: asyncio.EventLoop):
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super().__init__()
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self.loop = loop
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self.protocol("WM_DELETE_WINDOW", self.close)
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self.tasks = []
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self.tasks.append(loop.create_task(self.updater(1./100)))
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self.filter = None
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self.title("JannTers Filter Evaluation Tool")
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# Create a frame for the plot and sliders
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self.frame = tk.Frame(self)
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self.frame.pack(side=tk.LEFT, fill=tk.BOTH)
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# Create a figure for plotting
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self.fig, self.ax = plt.subplots()
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self.ax2 = self.ax.twinx()
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self.canvas = FigureCanvasTkAgg(self.fig, master=self.frame)
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self.canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH)
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# Create a frame for sliders
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self.toolbar = tk.Frame(self, width=200, padx=10)
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self.toolbar.pack(side=tk.RIGHT, fill=tk.Y)
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# Device Settings
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self.record_form = RecordForm(self.toolbar, self.record_data)
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self.record_form.pack(pady=10)
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self.device = Device(self.record_form.device_name)
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# Filter Settings
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self.filter_form = FilterForm(self.toolbar, self.update_filter)
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self.filter = MovAvg(self.device, self.toolbar, self.update_plot)
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self.data_stats = DataStats(self.toolbar, self.reset)
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def update_plot(self):
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if self.filter is None:
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return
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# Clear the current plot
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self.ax.clear()
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self.ax2.clear()
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# Get current values from sliders
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df = self.filter()
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self.data_stats.update_stats(df)
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# Generate data
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x = df['timestamps']
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y1 = df['weights']
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# y1_g = df['calib_weights']
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# y2 = df['filtered']
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y2_g = df['filtered_calib']
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# Plot the data
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self.ax.plot(x, y1)
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# self.ax.plot(x, y2)
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self.ax.set_xlabel("Time in ms")
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self.ax.set_ylabel("Raw Weight")
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self.ax.grid()
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# self.ax2.plot(x, y1_g)
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self.ax2.plot(x, y2_g, color="orange")
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# Draw the updated plot
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self.canvas.draw()
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def update_filter(self):
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option = self.filter_form.filter_type_combobox.get()
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if option == 'MovAvg' and not isinstance(self.filter, MovAvg):
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self.filter = MovAvg(self.device, self.toolbar, self.update_plot)
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self.update_plot()
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def record_data(self):
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if self.device.is_connected:
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self.record_form.pack(pady=10)
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self.device.disconnect()
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else:
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record_duration = self.record_form.record_time.get_value()
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task = self.loop.create_task(self.device.read_values(record_duration))
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task.add_done_callback(self.data_recorded)
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def data_recorded(self, *args):
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if self.device.is_connected:
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self.record_form.pack_forget()
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self.filter_form.pack(pady=10)
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self.filter.pack(pady=10)
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self.data_stats.pack(pady=10)
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self.update_filter()
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async def updater(self, interval):
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while await asyncio.sleep(interval, True):
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self.update()
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def reset(self):
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self.device.disconnect()
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self.device.clear_data()
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self.filter_form.pack_forget()
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self.filter.pack_forget()
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self.data_stats.pack_forget()
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self.record_form.pack()
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self.update_plot()
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def close(self):
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for task in self.tasks:
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task.cancel()
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self.loop.stop()
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self.destroy()
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if __name__ == "__main__":
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loop = asyncio.new_event_loop()
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app = FilterDevApp(loop)
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loop.run_forever()
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loop.close()
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