import tkinter as tk
from tkinter import ttk
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import time

ADC_PLOT_UPDATE_INTERVAL = 50  # 20 FPS, smooth and efficient
NOT_ACTIVE_CHECK_INTERVAL = 2000
MAX_HISTORY = 100

updating_enabled = False
adc_channels = list(range(8))
data = {ch: [0] * MAX_HISTORY for ch in adc_channels}  # Preallocate lists
time_data = list(range(-MAX_HISTORY, 0))  # Simulated time axis

def create_adc_plot_tab(notebook, adc):
    frame = ttk.Frame(notebook)
    notebook.add(frame, text="ADC Plot")

    figure = Figure(figsize=(8, 5), dpi=100)
    ax = figure.add_subplot(1, 1, 1)
    ax.set_ylim(0, 12)
    ax.set_xlim(-MAX_HISTORY, 0)  # Keep time axis fixed
    canvas = FigureCanvasTkAgg(figure, master=frame)
    canvas.get_tk_widget().pack(fill=tk.BOTH, expand=True)

    # Initialize lines for fast updates
    lines = {ch: ax.plot(time_data, data[ch], label=f"ADC {ch+1}")[0] for ch in adc_channels}

    def update_plot():
        if not updating_enabled:
            frame.after(NOT_ACTIVE_CHECK_INTERVAL, update_plot)
            return

        # Shift existing data left
        for ch in adc_channels:
            data[ch].pop(0)
            data[ch].append(round(adc.read(ch) * 12 / 4095, 2))

        # Update only the y-data for efficiency
        for ch in adc_channels:
            lines[ch].set_ydata(data[ch])

        canvas.draw_idle()  # Efficient redraw
        frame.after(ADC_PLOT_UPDATE_INTERVAL, update_plot)

    update_plot()

def set_updating_enabled(is_active):
    global updating_enabled
    updating_enabled = is_active
    print(f"adc_plot tab: set updating_enabled to {updating_enabled}")