687 lines
25 KiB
Python
687 lines
25 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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and comparing simulated vs. real-time data.
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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 time
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import logging
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import numpy as np
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import collections
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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 as mpl
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from typing import List, Dict, Optional
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from target_simulator.core.models import Target, Waypoint, ManeuverType, NM_TO_FT
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# Module-level logger
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logger = logging.getLogger(__name__)
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class PPIDisplay(ttk.Frame):
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"""
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A custom widget for the PPI radar display.
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"""
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TRAIL_LENGTH = 100
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def __init__(
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self,
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master,
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max_range_nm: int = 100,
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scan_limit_deg: int = 60,
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trail_length: int = None,
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):
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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.sim_target_artists: List[mpl.artist.Artist] = []
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self.real_target_artists: List[mpl.artist.Artist] = []
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self.sim_trail_artists: List[mpl.artist.Artist] = []
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self.real_trail_artists: List[mpl.artist.Artist] = []
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self.sim_label_artists: List[mpl.artist.Artist] = []
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self.real_label_artists: List[mpl.artist.Artist] = []
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self.trail_length = trail_length or self.TRAIL_LENGTH
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self._trails = {
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"simulated": collections.defaultdict(
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lambda: collections.deque(maxlen=self.trail_length)
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),
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"real": collections.defaultdict(
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lambda: collections.deque(maxlen=self.trail_length)
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),
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}
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self.preview_artists: List[mpl.artist.Artist] = []
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self.preview_path_artists: Dict[int, List[mpl.artist.Artist]] = {}
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# Display options
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self.show_sim_points_var = tk.BooleanVar(value=True)
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self.show_real_points_var = tk.BooleanVar(value=True)
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self.show_sim_trail_var = tk.BooleanVar(value=False)
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self.show_real_trail_var = tk.BooleanVar(value=False)
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self.animate_antenna_var = tk.BooleanVar(value=True)
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self.display_mode_var = tk.StringVar(value="North-Up")
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self.canvas = None
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self._ownship_artist: Optional[mpl.lines.Line2D] = None
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self.ownship_heading_deg = 0.0
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self._create_controls()
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self._create_plot()
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self._real_update_timestamps = collections.deque(maxlen=10000)
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self._last_update_summary_time = time.monotonic()
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self._update_summary_interval_s = 1.0
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self._antenna_line_artist: Optional[mpl.lines.Line2D] = None
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def _on_display_options_changed(self, *args):
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self.clear_all_targets()
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if self.canvas:
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self.canvas.draw()
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def _on_display_mode_changed(self, *args):
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"""Callback when the display mode (North-Up/Heading-Up) changes."""
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self._update_plot_orientation()
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if self.canvas:
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self.canvas.draw_idle()
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def _create_controls(self):
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"""Creates the organized 4-section control panel."""
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top_frame = ttk.Frame(self)
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top_frame.pack(side=tk.TOP, fill=tk.X, padx=5, pady=(5, 2))
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# Section 1: Radar Controls
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radar_frame = ttk.LabelFrame(top_frame, text="Radar", padding=5)
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radar_frame.pack(side=tk.LEFT, padx=(0, 5), fill=tk.Y)
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range_subframe = ttk.Frame(radar_frame)
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range_subframe.pack(anchor="w")
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ttk.Label(range_subframe, 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(
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[s for s in all_steps if s <= self.max_range]
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+ ([self.max_range] if self.max_range not in all_steps else [])
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)
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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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range_subframe,
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textvariable=self.range_var,
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values=valid_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, padx=5)
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ttk.Checkbutton(
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radar_frame,
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text="Animate Antenna",
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variable=self.animate_antenna_var,
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command=self._force_redraw,
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).pack(anchor="w", pady=(4, 0))
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# Section 2: Display Mode
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mode_frame = ttk.LabelFrame(top_frame, text="Display Mode", padding=5)
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mode_frame.pack(side=tk.LEFT, padx=5, fill=tk.Y)
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ttk.Radiobutton(
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mode_frame,
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text="North-Up",
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variable=self.display_mode_var,
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value="North-Up",
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command=self._on_display_mode_changed,
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).pack(anchor="w")
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ttk.Radiobutton(
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mode_frame,
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text="Heading-Up",
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variable=self.display_mode_var,
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value="Heading-Up",
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command=self._on_display_mode_changed,
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).pack(anchor="w")
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# Section 3: Display Options
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options_frame = ttk.LabelFrame(top_frame, text="Display Options", padding=5)
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options_frame.pack(side=tk.LEFT, padx=5, fill=tk.Y)
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ttk.Checkbutton(
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options_frame,
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text="Sim Points",
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variable=self.show_sim_points_var,
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command=self._on_display_options_changed,
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).grid(row=0, column=0, sticky="w", padx=5)
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ttk.Checkbutton(
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options_frame,
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text="Real Points",
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variable=self.show_real_points_var,
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command=self._on_display_options_changed,
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).grid(row=0, column=1, sticky="w", padx=5)
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ttk.Checkbutton(
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options_frame,
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text="Sim Trail",
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variable=self.show_sim_trail_var,
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command=self._on_display_options_changed,
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).grid(row=1, column=0, sticky="w", padx=5)
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ttk.Checkbutton(
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options_frame,
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text="Real Trail",
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variable=self.show_real_trail_var,
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command=self._on_display_options_changed,
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).grid(row=1, column=1, sticky="w", padx=5)
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# Spacer to push the legend to the right
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spacer = ttk.Frame(top_frame)
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spacer.pack(side=tk.LEFT, expand=True, fill=tk.X)
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# Section 4: Legend
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legend_frame = ttk.LabelFrame(top_frame, text="Legend", padding=5)
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legend_frame.pack(side=tk.LEFT, padx=5, fill=tk.Y)
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# Ownship
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own_sw = tk.Canvas(legend_frame, width=16, height=12, highlightthickness=0)
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own_sw.create_rectangle(0, 0, 16, 12, fill="cyan", outline="black")
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own_sw.grid(row=0, column=0, padx=(0, 4), pady=(0, 2))
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ttk.Label(legend_frame, text="Ownship").grid(row=0, column=1, sticky="w")
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# Simulated
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sim_sw = tk.Canvas(legend_frame, width=16, height=12, highlightthickness=0)
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sim_sw.create_rectangle(0, 0, 16, 12, fill="green", outline="black")
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sim_sw.grid(row=1, column=0, padx=(0, 4), pady=(0, 2))
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ttk.Label(legend_frame, text="Simulated").grid(row=1, column=1, sticky="w")
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# Real
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real_sw = tk.Canvas(legend_frame, width=16, height=12, highlightthickness=0)
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real_sw.create_rectangle(0, 0, 16, 12, fill="red", outline="black")
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real_sw.grid(row=2, column=0, padx=(0, 4))
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ttk.Label(legend_frame, text="Real").grid(row=2, column=1, sticky="w")
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def _force_redraw(self):
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if self.canvas:
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self.canvas.draw_idle()
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def _create_plot(self):
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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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# Default direction is CCW (antiorario), which is correct for our model
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# self.ax.set_theta_direction(-1) # This was the old incorrect way
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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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# Correct labels for CCW positive convention
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angles_deg = np.arange(0, 360, 30)
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labels = [f"{(a - 360) if a > 180 else a}°" for a in angles_deg]
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self.ax.set_thetagrids(angles_deg, 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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(self._ownship_artist,) = self.ax.plot(
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[0],
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[0],
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marker="^",
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markersize=12,
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color="cyan",
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markeredgecolor="black",
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zorder=10,
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transform=self.ax.transData,
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)
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self._ownship_artist.set_visible(True)
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(self._path_plot,) = self.ax.plot([], [], "g--", linewidth=1.5, zorder=3)
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(self._start_plot,) = self.ax.plot([], [], "go", markersize=8, zorder=3)
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(self._waypoints_plot,) = self.ax.plot(
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[], [], "y+", markersize=10, mew=2, zorder=3
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)
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self.preview_artists = [self._path_plot, self._start_plot, self._waypoints_plot]
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limit_rad = np.deg2rad(self.scan_limit_deg)
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(self._scan_line_1,) = self.ax.plot(
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[limit_rad, limit_rad], [0, self.max_range], "y--", linewidth=1, zorder=1
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)
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(self._scan_line_2,) = self.ax.plot(
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[-limit_rad, -limit_rad], [0, self.max_range], "y--", linewidth=1, zorder=1
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)
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(self._antenna_line_artist,) = self.ax.plot(
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[],
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[],
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color="lightgray",
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linestyle="--",
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linewidth=1.2,
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alpha=0.85,
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zorder=2,
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)
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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.range_selector.bind("<<ComboboxSelected>>", self._on_range_selected)
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self._update_scan_lines()
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def update_ownship_state(self, heading_deg: float):
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"""Updates the ownship's visual representation on the PPI."""
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if self.ownship_heading_deg != heading_deg:
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self.ownship_heading_deg = heading_deg
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self._update_plot_orientation()
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def _update_plot_orientation(self):
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"""Applies rotation to the plot or ownship icon based on display mode."""
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if not self.ax or not self._ownship_artist:
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return
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mode = self.display_mode_var.get()
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heading_rad = np.deg2rad(self.ownship_heading_deg)
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if mode == "Heading-Up":
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self.ax.set_theta_offset(math.pi / 2 - heading_rad)
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transform = mpl.transforms.IdentityTransform()
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self._ownship_artist.set_transform(transform)
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else: # North-Up
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self.ax.set_theta_offset(math.pi / 2)
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transform = (
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mpl.transforms.Affine2D().rotate(-heading_rad) + self.ax.transData
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)
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self._ownship_artist.set_transform(transform)
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if self.canvas:
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self.canvas.draw_idle()
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def clear_all_targets(self):
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"""Clears all target artists from the display."""
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all_artists = (
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self.sim_target_artists
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+ self.real_target_artists
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+ self.sim_trail_artists
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+ self.real_trail_artists
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+ self.sim_label_artists
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+ self.real_label_artists
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)
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for artist in all_artists:
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artist.remove()
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self.sim_target_artists.clear()
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self.real_target_artists.clear()
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self.sim_trail_artists.clear()
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self.real_trail_artists.clear()
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self.sim_label_artists.clear()
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self.real_label_artists.clear()
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def update_simulated_targets(self, targets: List[Target]):
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"""Updates and redraws only the simulated targets."""
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self._update_target_category(targets, "simulated")
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if self.canvas:
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self.canvas.draw()
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def update_real_targets(self, targets: List[Target]):
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"""Updates and redraws only the real targets."""
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try:
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now = time.monotonic()
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self._real_update_timestamps.append(now)
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if (
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now - self._last_update_summary_time
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) >= self._update_summary_interval_s:
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self._last_update_summary_time = now
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except Exception:
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pass
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self._update_target_category(targets, "real")
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if self.canvas:
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self.canvas.draw()
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def get_real_update_rate(self, window_seconds: float = 1.0) -> float:
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"""
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Returns approximate PPI "real targets" update rate (updates/sec).
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"""
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try:
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now = time.monotonic()
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cutoff = now - float(window_seconds)
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count = sum(1 for ts in self._real_update_timestamps if ts >= cutoff)
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return count / float(window_seconds) if window_seconds > 0 else float(count)
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except Exception:
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return 0.0
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def _update_target_category(self, new_data: List[Target], category: str):
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"""
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Generic helper to update targets for a specific category ('simulated' or 'real').
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"""
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if category == "simulated":
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target_artists, trail_artists, label_artists = (
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self.sim_target_artists,
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self.sim_trail_artists,
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self.sim_label_artists,
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)
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trail_data, show_points, show_trail = (
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self._trails["simulated"],
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self.show_sim_points_var.get(),
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self.show_sim_trail_var.get(),
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)
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color, trail_color = "green", "limegreen"
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else:
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target_artists, trail_artists, label_artists = (
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self.real_target_artists,
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self.real_trail_artists,
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self.real_label_artists,
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)
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trail_data, show_points, show_trail = (
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self._trails["real"],
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self.show_real_points_var.get(),
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self.show_real_trail_var.get(),
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)
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color, trail_color = "red", "tomato"
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for artist in target_artists + trail_artists + label_artists:
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artist.remove()
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target_artists.clear()
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trail_artists.clear()
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label_artists.clear()
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if show_points or show_trail:
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for t in new_data:
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if t.active:
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# No negation needed anymore
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pos = (np.deg2rad(t.current_azimuth_deg), t.current_range_nm)
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trail_data[t.target_id].append(pos)
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if show_points:
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active_targets = [t for t in new_data if t.active]
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if active_targets:
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self._draw_target_visuals(
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active_targets, color, target_artists, label_artists
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)
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inactive_targets = [t for t in new_data if not t.active]
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if inactive_targets and category == "simulated":
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self._draw_inactive_markers(
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inactive_targets, color, target_artists, label_artists
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)
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if show_trail:
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self._draw_trails(trail_data, trail_color, trail_artists)
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def _draw_inactive_markers(
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self,
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targets: List[Target],
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color: str,
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artist_list: List,
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label_artist_list: List,
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):
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for target in targets:
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try:
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r_nm = target.current_range_nm
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theta_rad_plot = np.deg2rad(target.current_azimuth_deg)
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(dot,) = self.ax.plot(
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theta_rad_plot,
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r_nm,
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"o",
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markersize=6,
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color=color,
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alpha=0.6,
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zorder=5,
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)
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artist_list.append(dot)
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(x_mark,) = self.ax.plot(
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theta_rad_plot,
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r_nm,
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marker="x",
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color="yellow",
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markersize=8,
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markeredgewidth=0.9,
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linestyle="",
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zorder=6,
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)
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label_artist_list.append(x_mark)
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except Exception:
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pass
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def _draw_target_visuals(
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self,
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targets: List[Target],
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color: str,
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artist_list: List,
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label_artist_list: List,
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):
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vector_len_nm = self.range_var.get() / 20.0
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marker_size = 8 if color == "green" else 6
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for target in targets:
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r_nm = target.current_range_nm
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theta_rad_plot = np.deg2rad(target.current_azimuth_deg)
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(dot,) = self.ax.plot(
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theta_rad_plot, r_nm, "o", markersize=marker_size, color=color, zorder=5
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)
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artist_list.append(dot)
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heading_relative_to_north_rad = np.deg2rad(target.current_heading_deg)
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x_start_rel_nm = r_nm * math.sin(theta_rad_plot)
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y_start_rel_nm = r_nm * math.cos(theta_rad_plot)
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dx_nm = vector_len_nm * math.sin(heading_relative_to_north_rad)
|
|
dy_nm = vector_len_nm * math.cos(heading_relative_to_north_rad)
|
|
|
|
x_end_rel_nm = x_start_rel_nm + dx_nm
|
|
y_end_rel_nm = y_start_rel_nm + dy_nm
|
|
|
|
r_end_nm = math.hypot(x_end_rel_nm, y_end_rel_nm)
|
|
theta_end_rad_plot = math.atan2(x_end_rel_nm, y_end_rel_nm)
|
|
|
|
(line,) = self.ax.plot(
|
|
[theta_rad_plot, theta_end_rad_plot],
|
|
[r_nm, r_end_nm],
|
|
color=color,
|
|
linewidth=1.2,
|
|
zorder=4,
|
|
)
|
|
artist_list.append(line)
|
|
|
|
txt = self.ax.text(
|
|
theta_rad_plot,
|
|
r_nm + (vector_len_nm * 0.5),
|
|
str(target.target_id),
|
|
color="white",
|
|
fontsize=8,
|
|
ha="center",
|
|
va="bottom",
|
|
zorder=7,
|
|
)
|
|
label_artist_list.append(txt)
|
|
|
|
def _draw_trails(self, trail_data: Dict, color: str, artist_list: List):
|
|
for trail in trail_data.values():
|
|
if len(trail) > 1:
|
|
thetas, rs = zip(*trail)
|
|
(line,) = self.ax.plot(
|
|
thetas,
|
|
rs,
|
|
color=color,
|
|
linestyle="-",
|
|
linewidth=0.8,
|
|
alpha=0.7,
|
|
zorder=3,
|
|
)
|
|
artist_list.append(line)
|
|
|
|
def clear_trails(self):
|
|
self._trails["simulated"].clear()
|
|
self._trails["real"].clear()
|
|
self.clear_all_targets()
|
|
if self.canvas:
|
|
self.canvas.draw()
|
|
|
|
def _update_scan_lines(self):
|
|
max_r = self.ax.get_ylim()[1]
|
|
limit_rad = np.deg2rad(self.scan_limit_deg)
|
|
self._scan_line_1.set_data([limit_rad, limit_rad], [0, max_r])
|
|
self._scan_line_2.set_data([-limit_rad, -limit_rad], [0, max_r])
|
|
if self._antenna_line_artist:
|
|
data = self._antenna_line_artist.get_data()
|
|
if data and len(data) == 2 and len(data[0]) >= 1:
|
|
theta = data[0][0]
|
|
self._antenna_line_artist.set_data([theta, theta], [0, max_r])
|
|
|
|
def _on_range_selected(self, event=None):
|
|
self.ax.set_ylim(0, self.range_var.get())
|
|
self._update_scan_lines()
|
|
if self.canvas:
|
|
self.canvas.draw()
|
|
|
|
def clear_previews(self):
|
|
for artist in self.preview_artists:
|
|
artist.set_data([], [])
|
|
for arts in self.preview_path_artists.values():
|
|
for a in arts:
|
|
a.remove()
|
|
self.preview_path_artists.clear()
|
|
if self.canvas:
|
|
self.canvas.draw()
|
|
|
|
def draw_scenario_preview(self, scenario):
|
|
self.clear_previews()
|
|
if scenario is None:
|
|
return
|
|
|
|
for target in scenario.get_all_targets():
|
|
try:
|
|
path, _ = Target.generate_path_from_waypoints(
|
|
target.trajectory, target.use_spline
|
|
)
|
|
if not path:
|
|
continue
|
|
|
|
path_thetas, path_rs = [], []
|
|
for point in path:
|
|
x_ft, y_ft = point[1], point[2]
|
|
r_ft = math.hypot(x_ft, y_ft)
|
|
az_rad_plot = math.atan2(x_ft, y_ft)
|
|
path_rs.append(r_ft / NM_TO_FT)
|
|
path_thetas.append(az_rad_plot)
|
|
|
|
(line_art,) = self.ax.plot(
|
|
path_thetas,
|
|
path_rs,
|
|
color="limegreen",
|
|
linestyle="--",
|
|
linewidth=1.2,
|
|
alpha=0.9,
|
|
)
|
|
(start_art,) = self.ax.plot(
|
|
[path_thetas[0]], [path_rs[0]], "go", markersize=6
|
|
)
|
|
self.preview_path_artists[target.target_id] = [line_art, start_art]
|
|
except Exception:
|
|
logger.exception(
|
|
"Failed to draw preview for target %s",
|
|
getattr(target, "target_id", "?"),
|
|
)
|
|
|
|
if self.canvas:
|
|
self.canvas.draw()
|
|
|
|
def draw_trajectory_preview(self, waypoints: List[Waypoint], use_spline: bool):
|
|
self.clear_previews()
|
|
self.clear_trails()
|
|
if not waypoints or waypoints[0].maneuver_type != ManeuverType.FLY_TO_POINT:
|
|
return
|
|
|
|
path, _ = Target.generate_path_from_waypoints(waypoints, use_spline)
|
|
if not path:
|
|
return
|
|
|
|
path_thetas, path_rs = [], []
|
|
for point in path:
|
|
x_ft, y_ft = point[1], point[2]
|
|
r_ft = math.hypot(x_ft, y_ft)
|
|
az_rad_plot = math.atan2(x_ft, y_ft)
|
|
path_rs.append(r_ft / NM_TO_FT)
|
|
path_thetas.append(az_rad_plot)
|
|
|
|
self._path_plot.set_data(path_thetas, path_rs)
|
|
|
|
wp_thetas, wp_rs = [], []
|
|
for wp in waypoints:
|
|
if wp.maneuver_type == ManeuverType.FLY_TO_POINT:
|
|
r_nm = wp.target_range_nm or 0.0
|
|
az_rad_plot = np.deg2rad(wp.target_azimuth_deg or 0.0)
|
|
wp_rs.append(r_nm)
|
|
wp_thetas.append(az_rad_plot)
|
|
self._waypoints_plot.set_data(wp_thetas, wp_rs)
|
|
|
|
start_wp = waypoints[0]
|
|
start_r = start_wp.target_range_nm or 0.0
|
|
start_theta = np.deg2rad(start_wp.target_azimuth_deg or 0.0)
|
|
self._start_plot.set_data([start_theta], [start_r])
|
|
|
|
if self.canvas:
|
|
self.canvas.draw()
|
|
|
|
def reconfigure_radar(self, max_range_nm: int, scan_limit_deg: int):
|
|
self.max_range, self.scan_limit_deg = max_range_nm, scan_limit_deg
|
|
steps = [10, 20, 40, 80, 100, 160, 240, 320]
|
|
valid_steps = sorted(
|
|
[s for s in steps if s <= max_range_nm]
|
|
+ ([max_range_nm] if max_range_nm not in steps else [])
|
|
)
|
|
self.range_selector["values"] = valid_steps
|
|
if self.range_var.get() not in valid_steps:
|
|
self.range_var.set(max_range_nm)
|
|
self._on_range_selected()
|
|
|
|
def render_antenna_line(self, az_deg: Optional[float]):
|
|
"""Directly renders the antenna line at a given absolute azimuth."""
|
|
# Aggiunto log di debug per tracciare la chiamata
|
|
# logger.debug(f"PPIDisplay.render_antenna_line called with az_deg={az_deg}")
|
|
try:
|
|
# If the artist was not created (unexpected), create it lazily so
|
|
# the antenna can still be rendered. This avoids silent failures
|
|
# when the initial plot setup didn't complete for some reason.
|
|
created_artist = False
|
|
if self._antenna_line_artist is None:
|
|
try:
|
|
(self._antenna_line_artist,) = self.ax.plot(
|
|
[],
|
|
[],
|
|
color="lightgray",
|
|
linestyle="--",
|
|
linewidth=1.2,
|
|
alpha=0.85,
|
|
zorder=2,
|
|
)
|
|
created_artist = True
|
|
logger.debug(
|
|
"PPIDisplay: lazily created _antenna_line_artist for widget id=%s",
|
|
id(self),
|
|
)
|
|
except Exception:
|
|
# If creation fails, give up gracefully
|
|
return
|
|
|
|
if az_deg is None or not self.animate_antenna_var.get():
|
|
self._antenna_line_artist.set_visible(False)
|
|
else:
|
|
# Assicuriamoci che az_deg sia un float valido
|
|
az_float = float(az_deg)
|
|
theta = np.deg2rad(az_float % 360)
|
|
max_r = self.ax.get_ylim()[1]
|
|
self._antenna_line_artist.set_data([theta, theta], [0, max_r])
|
|
self._antenna_line_artist.set_visible(True)
|
|
# logger.debug(f"Antenna line drawn at theta={theta}")
|
|
# If we created the artist now, or we made it visible, schedule a
|
|
# canvas redraw. Use draw_idle to avoid immediate blocking draws.
|
|
try:
|
|
if (
|
|
created_artist
|
|
or (az_deg is not None and self.animate_antenna_var.get())
|
|
) and self.canvas:
|
|
self.canvas.draw_idle()
|
|
except Exception:
|
|
pass
|
|
except Exception:
|
|
# Silently fail to prevent logging floods
|
|
pass
|