324 lines
12 KiB
Python
324 lines
12 KiB
Python
# target_simulator/gui/analysis_window.py
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"""
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A Toplevel window for displaying real-time performance analysis, including
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error statistics and plots.
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"""
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import tkinter as tk
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from tkinter import ttk, messagebox
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from typing import Optional, Dict
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import json
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import os
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from target_simulator.analysis.performance_analyzer import PerformanceAnalyzer
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from target_simulator.analysis.simulation_state_hub import SimulationStateHub
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try:
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from matplotlib.figure import Figure
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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MATPLOTLIB_AVAILABLE = True
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except ImportError:
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MATPLOTLIB_AVAILABLE = False
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UPDATE_INTERVAL_MS = 1000 # Update analysis every second
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class AnalysisWindow(tk.Toplevel):
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"""
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A window that displays real-time analysis of tracking performance.
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"""
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def __init__(self, master, archive_filepath: str):
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super().__init__(master)
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self.title(f"Analysis for: {os.path.basename(archive_filepath)}")
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self.geometry("800x600")
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# State variables
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self.selected_target_id = tk.IntVar(value=0)
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self._active = True
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# Carica i dati e inizializza l'analizzatore
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self._load_data_and_setup(archive_filepath)
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# ... il resto del codice di creazione widget rimane simile ...
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self._create_widgets()
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# Non c'è più un loop, ma un singolo aggiornamento
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self._populate_analysis()
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def _load_data_and_setup(self, filepath: str):
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try:
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with open(filepath, "r", encoding="utf-8") as f:
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archive_data = json.load(f)
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except Exception as e:
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messagebox.showerror(
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"Loading Error",
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f"Could not load archive file.\n{e}",
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)
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self.destroy()
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return
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# Extract estimated latency from metadata
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metadata = archive_data.get("metadata", {})
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self.estimated_latency_ms = metadata.get("estimated_latency_ms")
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self.prediction_offset_ms = metadata.get("prediction_offset_ms")
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# Create a temporary hub and populate it with historical data
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self._hub = SimulationStateHub()
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results = archive_data.get("simulation_results", {})
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for target_id_str, data in results.items():
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target_id = int(target_id_str)
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for state in data.get("simulated", []):
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self._hub.add_simulated_state(target_id, state[0], tuple(state[1:]))
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for state in data.get("real", []):
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self._hub.add_real_state(target_id, state[0], tuple(state[1:]))
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# Create the analyzer with the populated hub
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self._analyzer = PerformanceAnalyzer(self._hub)
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def _populate_analysis(self):
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"""Esegue l'analisi e popola i widget una sola volta."""
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self._update_target_selector() # Ora usa l'hub locale
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# Seleziona il primo target di default
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target_ids = self.target_selector["values"]
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if target_ids:
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self.selected_target_id.set(target_ids[0])
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analysis_results = self._analyzer.analyze()
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sel_id = self.selected_target_id.get()
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if sel_id in analysis_results:
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self._update_stats_table(analysis_results[sel_id])
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self._update_plot(sel_id)
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else:
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self._clear_views()
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def _create_widgets(self):
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main_pane = ttk.PanedWindow(self, orient=tk.VERTICAL)
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main_pane.pack(fill=tk.BOTH, expand=True, padx=10, pady=10)
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# --- Top Frame for Stats Table ---
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stats_frame = ttk.LabelFrame(main_pane, text="Error Statistics (feet)")
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# Keep stats frame compact so the plot below has more space
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main_pane.add(stats_frame, weight=1)
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self._create_stats_widgets(stats_frame)
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# --- Bottom Frame for Plot ---
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plot_frame = ttk.LabelFrame(main_pane, text="Error Over Time (feet)")
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# Give the plot more vertical weight so it occupies most of the window
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main_pane.add(plot_frame, weight=4)
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self._create_plot_widgets(plot_frame)
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def _create_stats_widgets(self, parent):
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# Build a horizontal area: left = table, right = legend/explanations
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container = ttk.Frame(parent)
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container.pack(fill=tk.BOTH, expand=True, padx=5, pady=5)
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left = ttk.Frame(container)
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left.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
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right = ttk.Frame(container)
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right.pack(side=tk.RIGHT, fill=tk.Y)
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top_bar = ttk.Frame(left)
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top_bar.pack(fill=tk.X, padx=0, pady=(0, 6))
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ttk.Label(top_bar, text="Select Target ID:").pack(side=tk.LEFT)
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self.target_selector = ttk.Combobox(
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top_bar, textvariable=self.selected_target_id, state="readonly", width=5
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)
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self.target_selector.pack(side=tk.LEFT, padx=5)
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self.target_selector.bind("<<ComboboxSelected>>", self._on_target_select)
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# Frame per le metriche di sincronizzazione
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sync_frame = ttk.Frame(top_bar)
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sync_frame.pack(side=tk.LEFT, padx=(20, 0))
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if self.estimated_latency_ms is not None:
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ttk.Label(sync_frame, text="Avg. Latency:").pack(side=tk.LEFT)
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ttk.Label(
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sync_frame,
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text=f"{self.estimated_latency_ms:.1f} ms",
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font=("Segoe UI", 9, "bold"),
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foreground="blue"
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).pack(side=tk.LEFT, padx=4)
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if self.prediction_offset_ms is not None:
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ttk.Label(sync_frame, text="Prediction Offset:").pack(side=tk.LEFT, padx=(10, 0))
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ttk.Label(
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sync_frame,
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text=f"{self.prediction_offset_ms:.1f} ms",
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font=("Segoe UI", 9, "bold"),
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foreground="green"
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).pack(side=tk.LEFT, padx=4)
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columns = ("metric", "x_error", "y_error", "z_error")
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self.stats_tree = ttk.Treeview(left, columns=columns, show="headings")
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self.stats_tree.heading("metric", text="Metric")
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self.stats_tree.heading("x_error", text="Error X")
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self.stats_tree.heading("y_error", text="Error Y")
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self.stats_tree.heading("z_error", text="Error Z")
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self.stats_tree.column("metric", width=120, anchor=tk.W)
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self.stats_tree.column("x_error", anchor=tk.E, width=120)
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self.stats_tree.column("y_error", anchor=tk.E, width=120)
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self.stats_tree.column("z_error", anchor=tk.E, width=120)
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self.stats_tree.pack(fill=tk.BOTH, expand=True)
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# Right side: explanatory legend box (compact)
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legend_title = ttk.Label(
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right, text="How to Interpret Results:", font=(None, 9, "bold")
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)
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legend_title.pack(anchor=tk.NW, padx=(6, 6), pady=(4, 4))
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explanation_text = (
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"Formula: Error = Real Position - Simulated Position\n\n"
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"Sign of Error (e.g., on X axis):\n"
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"• Positive Error (+): Real target is at a larger X coordinate.\n"
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" - If moving R -> L (X increases): Real is AHEAD.\n"
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" - If moving L -> R (X decreases): Real is BEHIND.\n\n"
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"• Negative Error (-): Real target is at a smaller X coordinate.\n"
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" - If moving R -> L (X increases): Real is BEHIND.\n"
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" - If moving L -> R (X decreases): Real is AHEAD.\n\n"
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"Prediction Offset:\n"
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"A manual offset to compensate for server processing delay, "
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"aiming to minimize the Mean Error."
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)
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try:
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ttk.Label(
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right,
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text=explanation_text,
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justify=tk.LEFT,
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wraplength=280,
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).pack(anchor=tk.NW, padx=(6, 6))
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except Exception:
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pass
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def _create_plot_widgets(self, parent):
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fig = Figure(figsize=(5, 3), dpi=100)
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self.ax = fig.add_subplot(111)
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self.ax.set_title("Instantaneous Error")
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self.ax.set_xlabel("Time (s)")
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self.ax.set_ylabel("Error (ft)")
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(self.line_x,) = self.ax.plot([], [], lw=2, label="Error X")
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(self.line_y,) = self.ax.plot([], [], lw=2, label="Error Y")
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(self.line_z,) = self.ax.plot([], [], lw=2, label="Error Z")
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# Place legend outside the axes to keep plot area clear
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try:
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self.ax.grid(True)
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# horizontal zero line for reference
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self.ax.axhline(0.0, color="black", lw=1, linestyle="--", alpha=0.8)
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self.ax.legend(loc="upper left", bbox_to_anchor=(1.02, 1), fontsize=9)
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except Exception:
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pass
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fig.tight_layout()
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self.canvas = FigureCanvasTkAgg(fig, master=parent)
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self.canvas.draw()
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self.canvas.get_tk_widget().pack(fill=tk.BOTH, expand=True)
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def _update_target_selector(self):
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# Only update the combobox values when the hub reports target ids.
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# This prevents the selector from being emptied when the hub is cleared
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# at the end of a simulation and allows the analysis window to continue
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# showing the last results until the next simulation starts.
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try:
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target_ids = sorted(self._hub.get_all_target_ids())
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except Exception:
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target_ids = []
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if target_ids:
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self.target_selector["values"] = target_ids
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if self.selected_target_id.get() not in target_ids:
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# If previous selection isn't available, pick the first available
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self.selected_target_id.set(target_ids[0])
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else:
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# Do not overwrite existing combobox values when no targets are present.
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# This preserves the user's last view after a simulation ends.
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pass
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def _update_stats_table(self, results: Dict):
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self.stats_tree.delete(*self.stats_tree.get_children())
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metrics = ["mean", "std_dev", "rmse"]
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for metric in metrics:
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self.stats_tree.insert(
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"",
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"end",
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values=(
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metric.replace("_", " ").title(),
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f"{results['x'][metric]:.3f}",
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f"{results['y'][metric]:.3f}",
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f"{results['z'][metric]:.3f}",
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),
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)
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def _update_plot(self, target_id: int):
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history = self._hub.get_target_history(target_id)
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if not history or not history["real"] or len(history["simulated"]) < 2:
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self.line_x.set_data([], [])
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self.line_y.set_data([], [])
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self.line_z.set_data([], [])
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self.ax.relim()
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self.ax.autoscale_view()
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self.canvas.draw_idle()
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return
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times, errors_x, errors_y, errors_z = [], [], [], []
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sim_hist = sorted(history["simulated"])
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for real_state in history["real"]:
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real_ts, real_x, real_y, real_z = real_state
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p1, p2 = self._analyzer._find_bracketing_points(real_ts, sim_hist)
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if p1 and p2:
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interp_state = self._analyzer._interpolate(real_ts, p1, p2)
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_ts, interp_x, interp_y, interp_z = interp_state
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times.append(real_ts)
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errors_x.append(real_x - interp_x)
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errors_y.append(real_y - interp_y)
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errors_z.append(real_z - interp_z)
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self.line_x.set_data(times, errors_x)
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self.line_y.set_data(times, errors_y)
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self.line_z.set_data(times, errors_z)
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self.ax.relim()
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self.ax.autoscale_view()
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self.canvas.draw_idle()
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def _clear_views(self):
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self.stats_tree.delete(*self.stats_tree.get_children())
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self.line_x.set_data([], [])
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self.line_y.set_data([], [])
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self.line_z.set_data([], [])
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self.ax.relim()
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self.ax.autoscale_view()
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self.canvas.draw_idle()
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def _on_close(self):
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self._active = False
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self.destroy()
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def _on_target_select(self, event=None):
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"""Handle combobox selection changes and update stats/plot."""
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try:
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sel = self.selected_target_id.get()
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analysis_results = self._analyzer.analyze()
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if sel in analysis_results:
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self._update_stats_table(analysis_results[sel])
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self._update_plot(sel)
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else:
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self._clear_views()
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except Exception:
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pass
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