159 lines
5.7 KiB
Python
159 lines
5.7 KiB
Python
# target_simulator/gui/ppi_display.py
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"""
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A Tkinter widget that displays a Plan Position Indicator (PPI) using Matplotlib.
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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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import matplotlib.transforms as transforms
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import matplotlib.markers as markers
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from core.models import Target
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from typing import List
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class PPIDisplay(ttk.Frame):
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"""A custom 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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self.target_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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controls_frame = ttk.Frame(self)
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controls_frame.pack(side=tk.TOP, fill=tk.X, padx=5, pady=5)
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ttk.Label(controls_frame, text="Range (NM):").pack(side=tk.LEFT)
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# Generate range steps
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steps = list(range(self.max_range, 19, -20))
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if 10 not in steps:
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steps.append(10)
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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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controls_frame,
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textvariable=self.range_var,
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values=steps,
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state="readonly",
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width=5
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)
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self.range_selector.pack(side=tk.LEFT)
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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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# Dark theme for the 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=0.85, bottom=0.05)
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self.ax = fig.add_subplot(111, projection='polar', facecolor='#2E2E2E')
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# Configure polar axes
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self.ax.set_theta_zero_location('N') # 0 degrees at the top
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self.ax.set_theta_direction(-1) # Clockwise rotation
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self.ax.set_rlabel_position(90)
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self.ax.set_ylim(0, self.max_range)
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# Set custom theta labels for sector scan view
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angles = np.arange(0, 360, 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 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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self.ax.set_thetagrids(angles, labels)
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# Style the plot
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self.ax.tick_params(axis='x', colors='white')
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self.ax.tick_params(axis='y', colors='white')
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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', y=1.08)
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# Draw scan sector limits
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limit_rad = np.deg2rad(self.scan_limit_deg)
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self.ax.plot([limit_rad, limit_rad], [0, self.max_range], color='yellow', linestyle='--', linewidth=1)
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self.ax.plot([-limit_rad, -limit_rad], [0, self.max_range], color='yellow', linestyle='--', linewidth=1)
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# Embed the plot in a Tkinter canvas
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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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def _on_range_selected(self, event):
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"""Handles the selection of a new range from the combobox."""
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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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# Update heading vector lengths on zoom
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self.update_targets([]) # Pass empty list to redraw existing ones with new scale
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self.canvas.draw()
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def update_targets(self, targets: List[Target]):
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"""
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Updates the positions of targets on the PPI display.
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Args:
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targets: A list of Target objects to display.
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"""
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# If an empty list is passed, it means we just want to redraw existing targets
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# (e.g., after a zoom change), not clear them.
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if targets:
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self.active_targets = [t for t in targets if t.active]
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# Clear previously drawn targets
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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 = self.range_var.get() / 25 # Length of heading vector relative to current view
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for target in getattr(self, 'active_targets', []):
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# Target position in polar
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r1 = target.range_nm
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th1 = np.deg2rad(target.azimuth_deg)
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# Plot the target's center dot
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dot, = self.ax.plot(th1, r1, 'o', markersize=5, color='red')
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self.target_artists.append(dot)
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# --- Calculate and plot heading vector ---
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# Convert target polar to cartesian
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x1 = r1 * np.sin(th1)
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y1 = r1 * np.cos(th1)
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# Calculate heading vector components
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h_rad = np.deg2rad(target.heading_deg)
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dx = vector_len * np.sin(h_rad)
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dy = vector_len * np.cos(h_rad)
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# Calculate end point of the vector in cartesian
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x2, y2 = x1 + dx, y1 + dy
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# Convert end point back to polar
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r2 = np.sqrt(x2**2 + y2**2)
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th2 = np.arctan2(x2, y2)
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# Plot the heading line
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line, = self.ax.plot([th1, th2], [r1, r2], color='red', linewidth=1.2)
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self.target_artists.append(line)
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# Redraw the canvas to show the changes
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self.canvas.draw() |