237 lines
9.3 KiB
Python
237 lines
9.3 KiB
Python
# target_simulator/gui/ppi_display.py
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"""
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A reusable Tkinter widget that displays a Plan Position Indicator (PPI)
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using Matplotlib, capable of showing both live targets and trajectory previews.
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"""
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import tkinter as tk
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from tkinter import ttk
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import math
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import numpy as np
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from matplotlib.figure import Figure
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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# Use absolute imports
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from target_simulator.core.models import Target, Waypoint, ManeuverType, NM_TO_FT
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from typing import List
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class PPIDisplay(ttk.Frame):
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"""A custom, reusable widget for the PPI radar display."""
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def __init__(self, master, max_range_nm: int = 100, scan_limit_deg: int = 60):
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super().__init__(master)
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self.max_range = max_range_nm
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self.scan_limit_deg = scan_limit_deg
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# Artists for dynamic target display
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self.target_artists = []
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self.active_targets: List[Target] = []
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# Artists for trajectory preview display
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self.preview_artists = []
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self._create_controls()
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self._create_plot()
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def _create_controls(self):
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"""Creates the control widgets for the PPI display."""
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self.controls_frame = ttk.Frame(self)
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self.controls_frame.pack(side=tk.TOP, fill=tk.X, padx=5, pady=5)
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ttk.Label(self.controls_frame, text="Range (NM):").pack(side=tk.LEFT)
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all_steps = [10, 20, 40, 80, 100, 160, 240, 320]
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valid_steps = sorted([s for s in all_steps if s <= self.max_range])
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if not valid_steps or self.max_range not in valid_steps:
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valid_steps.append(self.max_range)
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valid_steps.sort()
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self.range_var = tk.IntVar(value=self.max_range)
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self.range_selector = ttk.Combobox(
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self.controls_frame, textvariable=self.range_var,
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values=valid_steps, state="readonly", width=5
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)
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self.range_selector.pack(side=tk.LEFT, padx=5)
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self.range_selector.bind("<<ComboboxSelected>>", self._on_range_selected)
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def _create_plot(self):
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"""Initializes the Matplotlib polar plot."""
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fig = Figure(figsize=(5, 5), dpi=100, facecolor='#3E3E3E')
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fig.subplots_adjust(left=0.05, right=0.95, top=0.9, bottom=0.05)
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self.ax = fig.add_subplot(111, projection='polar', facecolor='#2E2E2E')
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self.ax.set_theta_zero_location('N')
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self.ax.set_theta_direction(-1)
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self.ax.set_rlabel_position(90)
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self.ax.set_ylim(0, self.range_var.get())
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angles = np.arange(0, 360, 30)
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# --- MODIFICATION START ---
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# Logic to format labels as 0, +30, ..., +/-180, ..., -30
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labels = []
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for angle in angles:
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if angle == 0:
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labels.append("0°")
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elif 0 < angle < 180:
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labels.append(f"+{angle}°")
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elif angle == 180:
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labels.append("±180°")
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else: # angle > 180
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labels.append(f"-{360 - angle}°")
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# --- MODIFICATION END ---
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self.ax.set_thetagrids(angles, labels)
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self.ax.tick_params(axis='x', colors='white', labelsize=8)
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self.ax.tick_params(axis='y', colors='white', labelsize=8)
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self.ax.grid(color='white', linestyle='--', linewidth=0.5, alpha=0.5)
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self.ax.spines['polar'].set_color('white')
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self.ax.set_title("PPI Display", color='white')
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# --- Artists for drawing previews ---
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self._path_plot, = self.ax.plot([], [], 'g--', linewidth=1.5, label="Path")
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self._start_plot, = self.ax.plot([], [], 'go', markersize=8, label="Start")
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self._waypoints_plot, = self.ax.plot([], [], 'y+', markersize=10, mew=2, label="Waypoints")
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self.preview_artists = [self._path_plot, self._start_plot, self._waypoints_plot]
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# --- Artists for scan lines ---
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limit_rad = np.deg2rad(self.scan_limit_deg)
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self._scan_line_1, = self.ax.plot([limit_rad, limit_rad], [0, self.max_range], color='yellow', linestyle='--', linewidth=1)
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self._scan_line_2, = self.ax.plot([-limit_rad, -limit_rad], [0, self.max_range], color='yellow', linestyle='--', linewidth=1)
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self.canvas = FigureCanvasTkAgg(fig, master=self)
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self.canvas.draw()
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self.canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=True)
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self._update_scan_lines()
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def _update_scan_lines(self):
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"""Updates the length and position of the scan sector lines."""
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current_range_max = self.ax.get_ylim()[1]
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limit_rad = np.deg2rad(self.scan_limit_deg)
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self._scan_line_1.set_data([limit_rad, limit_rad], [0, current_range_max])
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self._scan_line_2.set_data([-limit_rad, -limit_rad], [0, current_range_max])
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def _on_range_selected(self, event=None):
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"""Handles the selection of a new range."""
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new_range = self.range_var.get()
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self.ax.set_ylim(0, new_range)
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self._update_scan_lines()
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self.canvas.draw_idle()
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def clear_previews(self):
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"""Clears all preview-related artists from the plot."""
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for artist in self.preview_artists:
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artist.set_data([], [])
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self.canvas.draw_idle()
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def update_targets(self, targets: List[Target]):
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"""Updates the display with the current state of active targets."""
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self.active_targets = [t for t in targets if t.active]
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# Clear previous target artists
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for artist in self.target_artists:
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artist.remove()
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self.target_artists.clear()
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vector_len_nm = self.range_var.get() / 20.0 # Length of heading vector
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for target in self.active_targets:
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# Target's polar coordinates
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r_nm = target.current_range_nm
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theta_rad = np.deg2rad(target.current_azimuth_deg)
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# Draw the target dot
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dot, = self.ax.plot(theta_rad, r_nm, 'o', markersize=6, color='red')
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self.target_artists.append(dot)
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# Draw the heading vector
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heading_rad = np.deg2rad(target.current_heading_deg)
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# Convert to Cartesian to calculate endpoint, then back to polar
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x_nm = r_nm * np.sin(theta_rad)
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y_nm = r_nm * np.cos(theta_rad)
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dx_nm = vector_len_nm * np.sin(heading_rad)
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dy_nm = vector_len_nm * np.cos(heading_rad)
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r2_nm = math.sqrt((x_nm + dx_nm)**2 + (y_nm + dy_nm)**2)
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theta2_rad = math.atan2(x_nm + dx_nm, y_nm + dy_nm)
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line, = self.ax.plot([theta_rad, theta2_rad], [r_nm, r2_nm], color='red', linewidth=1.2)
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self.target_artists.append(line)
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self.canvas.draw_idle()
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def draw_trajectory_preview(self, waypoints: List[Waypoint], use_spline: bool):
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"""
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Simulates and draws a trajectory preview by leveraging the static path generator.
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"""
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self.clear_previews()
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if not waypoints or waypoints[0].maneuver_type != ManeuverType.FLY_TO_POINT:
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return
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# Use the static method to get the path without creating a Target instance
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path, _ = Target.generate_path_from_waypoints(waypoints, use_spline)
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if not path:
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return
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# --- Draw the main path (splined or polygonal) ---
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path_thetas = []
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path_rs = []
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for point in path:
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_time, x_ft, y_ft, _z_ft = point
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r_ft = math.sqrt(x_ft**2 + y_ft**2)
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theta_rad = math.atan2(x_ft, y_ft)
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path_rs.append(r_ft / NM_TO_FT)
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path_thetas.append(theta_rad)
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self._path_plot.set_data(path_thetas, path_rs)
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# --- Draw waypoint markers (only for Fly to Point) ---
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wp_thetas = []
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wp_rs = []
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for wp in waypoints:
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if wp.maneuver_type == ManeuverType.FLY_TO_POINT:
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r_nm = wp.target_range_nm or 0.0
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theta_rad = math.radians(wp.target_azimuth_deg or 0.0)
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wp_rs.append(r_nm)
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wp_thetas.append(theta_rad)
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self._waypoints_plot.set_data(wp_thetas, wp_rs)
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# --- Draw the start point ---
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start_wp = waypoints[0]
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start_r = start_wp.target_range_nm or 0.0
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start_theta = math.radians(start_wp.target_azimuth_deg or 0.0)
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self._start_plot.set_data([start_theta], [start_r])
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self.canvas.draw_idle()
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def reconfigure_radar(self, max_range_nm: int, scan_limit_deg: int):
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"""
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Updates the radar parameters (range, scan limit) of an existing PPI display.
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"""
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self.max_range = max_range_nm
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self.scan_limit_deg = scan_limit_deg
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# Update the range combobox values
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steps = [10, 20, 40, 80, 100, 160, 240, 320]
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valid_steps = sorted([s for s in steps if s <= self.max_range])
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if not valid_steps or self.max_range not in valid_steps:
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valid_steps.append(self.max_range)
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valid_steps.sort()
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current_range = self.range_var.get()
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self.range_selector['values'] = valid_steps
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# If the current range is still valid, keep it. Otherwise, reset to max.
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if current_range in valid_steps:
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self.range_var.set(current_range)
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else:
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self.range_var.set(self.max_range)
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# Apply the new range and redraw everything
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self._on_range_selected() |