Source code for complex_problems.nonlinear_waves.result_dialog

"""Result dialog for nonlinear wave simulations (NLSE/KdV)."""

from __future__ import annotations

import tkinter as tk
from tkinter import ttk

import numpy as np

from complex_problems.nonlinear_waves.solver import NonlinearWavesResult
from config import get_env_from_schema
from frontend.plot_embed import embed_animation_plot_in_tk, embed_plot_in_tk
from frontend.theme import get_font
from frontend.window_utils import center_window, make_modal
from plotting import create_contour_plot, create_solution_plot


def _create_line_animation_figure(
    x: np.ndarray,
    t: np.ndarray,
    y: np.ndarray,
    *,
    title: str,
    ylabel: str,
) -> "object":
    """Create a line animation figure compatible with embed_animation_plot_in_tk."""
    import matplotlib.pyplot as plt

    fig, ax = plt.subplots()
    y_abs = float(np.max(np.abs(y)))
    y_lim = 1.1 * (y_abs if y_abs > 0 else 1.0)
    (line,) = ax.plot(x, y[0], linewidth=2.0)
    ax.set_xlim(float(x[0]), float(x[-1]))
    ax.set_ylim(-y_lim, y_lim)
    ax.set_xlabel("x")
    ax.set_ylabel(ylabel)
    ax.set_title(f"{title} (t={t[0]:.3g})")
    ax.grid(True, alpha=0.3)
    fig.tight_layout()

    def _update(idx: int) -> None:
        i = max(0, min(idx, len(t) - 1))
        line.set_ydata(y[i])
        ax.set_title(f"{title} (t={t[i]:.3g})")
        fig.canvas.draw_idle()

    fig._animation_update = _update
    fig._animation_n_points = len(t)
    fig._animation_initial_index = 0
    return fig


[docs] class NonlinearWavesResultDialog: """Result window for nonlinear waves.""" def __init__(self, parent: tk.Tk | tk.Toplevel, *, result: NonlinearWavesResult) -> None: self.parent = parent self._result = result self.win = tk.Toplevel(parent) self.win.title("Results - Nonlinear Waves") self.win.configure(bg=get_env_from_schema("UI_BACKGROUND")) self._anim_canvas = None self._st_canvas = None self._phase_canvas = None self._spec_canvas = None self._inv_canvas = None self._build_ui() self.win.protocol("WM_DELETE_WINDOW", self._on_close) center_window(self.win, width=1300, height=880, max_width_ratio=0.95, resizable=True) self.win.minsize(1100, 700) make_modal(self.win, parent) def _on_close(self) -> None: import matplotlib.pyplot as plt for attr in ("_anim_canvas", "_st_canvas", "_phase_canvas", "_spec_canvas", "_inv_canvas"): canvas = getattr(self, attr, None) if canvas is not None and hasattr(canvas, "figure"): try: plt.close(canvas.figure) except Exception: pass self.win.destroy() def _build_ui(self) -> None: pad = int(get_env_from_schema("UI_PADDING")) top = ttk.Frame(self.win, padding=pad) top.pack(fill=tk.BOTH, expand=True) drift_text = ", ".join(f"{k}: {v:+.3e}" for k, v in self._result.magnitudes.items()) ttk.Label(top, text=drift_text, style="Small.TLabel").pack(anchor=tk.W, pady=(0, pad)) nb = ttk.Notebook(top) nb.pack(fill=tk.BOTH, expand=True) tab_anim = ttk.Frame(nb) nb.add(tab_anim, text=" Profile Animation ") self._build_anim_tab(tab_anim) tab_st = ttk.Frame(nb) nb.add(tab_st, text=" Space-Time ") self._build_spacetime_tab(tab_st) if self._result.phase is not None: tab_phase = ttk.Frame(nb) nb.add(tab_phase, text=" Phase ") self._build_phase_tab(tab_phase) tab_spec = ttk.Frame(nb) nb.add(tab_spec, text=" Spectrum ") self._build_spectrum_tab(tab_spec) tab_inv = ttk.Frame(nb) nb.add(tab_inv, text=" Invariants ") self._build_invariants_tab(tab_inv) btn_frame = ttk.Frame(self.win, padding=(pad, 0, pad, pad)) btn_frame.pack(fill=tk.X) ttk.Button(btn_frame, text="Close", style="Cancel.TButton", command=self._on_close).pack( side=tk.RIGHT ) def _build_anim_tab(self, parent: ttk.Frame) -> None: ctrl = ttk.Frame(parent) ctrl.pack(fill=tk.X, padx=4, pady=4) options = ["Field"] if self._result.model_type == "kdv" else ["Intensity", "Real", "Imag"] self._anim_view_var = tk.StringVar(value=options[0]) ttk.Label(ctrl, text="View:", style="Small.TLabel").pack(side=tk.LEFT, padx=(0, 4)) combo = ttk.Combobox( ctrl, textvariable=self._anim_view_var, values=options, state="readonly", width=12, font=get_font(), ) combo.pack(side=tk.LEFT) combo.bind("<<ComboboxSelected>>", lambda _e: self._update_anim()) self._anim_frame = ttk.Frame(parent) self._anim_frame.pack(fill=tk.BOTH, expand=True) self._update_anim() def _update_anim(self) -> None: import matplotlib.pyplot as plt if self._anim_canvas is not None and hasattr(self._anim_canvas, "figure"): try: plt.close(self._anim_canvas.figure) except Exception: pass for w in self._anim_frame.winfo_children(): w.destroy() if self._result.model_type == "kdv": y = self._result.field.real title = "KdV profile" ylabel = "u" else: view = self._anim_view_var.get() if view == "Real": y = self._result.field.real ylabel = "Re(ψ)" elif view == "Imag": y = self._result.field.imag ylabel = "Im(ψ)" else: y = self._result.magnitude ylabel = "|ψ|²" title = f"NLSE profile - {view}" fig = _create_line_animation_figure( self._result.x, self._result.t, y, title=title, ylabel=ylabel, ) self._anim_canvas = embed_animation_plot_in_tk(fig, self._anim_frame) def _build_spacetime_tab(self, parent: ttk.Frame) -> None: ylabel = "t" title = "Space-time map" fig = create_contour_plot( self._result.x, self._result.t, self._result.magnitude, title=title, xlabel="x", ylabel=ylabel, ) self._st_canvas = embed_plot_in_tk(fig, parent) def _build_phase_tab(self, parent: ttk.Frame) -> None: assert self._result.phase is not None fig = create_contour_plot( self._result.x, self._result.t, self._result.phase, title="NLSE phase map", xlabel="x", ylabel="t", ) self._phase_canvas = embed_plot_in_tk(fig, parent) def _build_spectrum_tab(self, parent: ttk.Frame) -> None: fig = create_solution_plot( self._result.k, np.atleast_2d(self._result.spectrum_power), title="Final spectrum", xlabel="k", ylabel="Power", selected_derivatives=[0], labels=["|F(k)|^2"], ) self._spec_canvas = embed_plot_in_tk(fig, parent) def _build_invariants_tab(self, parent: ttk.Frame) -> None: keys = list(self._result.invariants.keys()) arr = np.vstack([self._result.invariants[k] for k in keys]) fig = create_solution_plot( self._result.t, arr, title="Invariants vs time", xlabel="t", ylabel="value", selected_derivatives=list(range(len(keys))), labels=keys, ) self._inv_canvas = embed_plot_in_tk(fig, parent)