logdetector logic semiapplied

.gitignore

@@ -1,12 +0,0 @@
-my_picocom_logfile.txt
-*pyc
-__pycache__/
-*.log
-*.tmp
-*.bak
-*.swp
-*.swo       
-acm_9
-build
-.venv
-sample_data

replay_pty.py

@@ -1,106 +0,0 @@
-#!/usr/bin/env python3
-"""
-Эмулятор серийного порта: воспроизводит лог-файл в цикле через PTY.
-
-Использование:
-  python3 replay_pty.py my_picocom_logfile.txt
-  python3 replay_pty.py my_picocom_logfile.txt --pty /tmp/ttyVIRT0
-  python3 replay_pty.py my_picocom_logfile.txt --speed 2.0   # в 2 раза быстрее реального
-  python3 replay_pty.py my_picocom_logfile.txt --speed 0     # максимально быстро
-
-Затем в другом терминале:
-  python -m rfg_adc_plotter.main /tmp/ttyVIRT0
-"""
-
-import argparse
-import os
-import sys
-import time
-
-
-def main():
-    parser = argparse.ArgumentParser(
-        description="Воспроизводит лог-файл через PTY как виртуальный серийный порт."
-    )
-    parser.add_argument("file", help="Путь к лог-файлу (например my_picocom_logfile.txt)")
-    parser.add_argument(
-        "--pty",
-        default="/tmp/ttyVIRT0",
-        help="Путь симлинка PTY (по умолчанию /tmp/ttyVIRT0)",
-    )
-    parser.add_argument(
-        "--speed",
-        type=float,
-        default=1.0,
-        help=(
-            "Множитель скорости воспроизведения: "
-            "1.0 = реальное время при --baud, "
-            "2.0 = вдвое быстрее, "
-            "0 = максимально быстро"
-        ),
-    )
-    parser.add_argument(
-        "--baud",
-        type=int,
-        default=115200,
-        help="Скорость (бод) для расчёта задержек (по умолчанию 115200)",
-    )
-    args = parser.parse_args()
-
-    if not os.path.isfile(args.file):
-        sys.stderr.write(f"[error] Файл не найден: {args.file}\n")
-        sys.exit(1)
-
-    # Открываем PTY-пару: master (мы пишем) / slave (GUI читает)
-    master_fd, slave_fd = os.openpty()
-    slave_path = os.ttyname(slave_fd)
-    os.close(slave_fd)  # GUI откроет slave сам по симлинку
-
-    # Симлинк с удобным именем
-    try:
-        os.unlink(args.pty)
-    except FileNotFoundError:
-        pass
-    os.symlink(slave_path, args.pty)
-
-    print(f"PTY slave : {slave_path}")
-    print(f"Симлинк   : {args.pty}  →  {slave_path}")
-    print(f"Запустите : python -m rfg_adc_plotter.main {args.pty}")
-    print("Ctrl+C для остановки.\n")
-
-    # Задержка на байт: 10 бит (8N1) / скорость / множитель
-    if args.speed > 0:
-        bytes_per_sec = args.baud / 10.0 * args.speed
-        delay_per_byte = 1.0 / bytes_per_sec
-    else:
-        delay_per_byte = 0.0
-
-    _CHUNK = 4096
-    loop = 0
-    try:
-        while True:
-            loop += 1
-            print(f"[loop {loop}] {args.file}")
-            with open(args.file, "rb") as f:
-                while True:
-                    chunk = f.read(_CHUNK)
-                    if not chunk:
-                        break
-                    os.write(master_fd, chunk)
-                    if delay_per_byte > 0:
-                        time.sleep(delay_per_byte * len(chunk))
-    except KeyboardInterrupt:
-        print("\nОстановлено.")
-    finally:
-        try:
-            os.unlink(args.pty)
-        except Exception:
-            pass
-        try:
-            os.close(master_fd)
-        except Exception:
-            pass
-
-
-if __name__ == "__main__":
-    main()

rfg_adc_plotter/constants.py

@@ -1,21 +0,0 @@
-WF_WIDTH = 1000  # максимальное число точек в ряду водопада
-FFT_LEN = 4096   # длина БПФ для спектра/водопада спектров
-LOG_EXP = 2.0    # основание экспоненты для опции --logscale
-# Порог для инверсии сырых данных: если среднее значение свипа ниже порога —
-# считаем, что сигнал «меньше нуля» и домножаем свип на -1
-DATA_INVERSION_THRESHOLD = 10.0
-
-# Частотная сетка рабочего свипа (положительная часть), ГГц
-FREQ_MIN_GHZ = 3.323
-FREQ_MAX_GHZ = 14.323
-
-# Скорость света для перевода времени пролёта в one-way depth
-SPEED_OF_LIGHT_M_S = 299_792_458.0
-
-# Параметры IFFT-спектра (временной профиль из спектра 3.2..14.3 ГГц)
-# Двусторонний спектр формируется как: [нули -14.3..-3.2 | нули -3.2..+3.2 | данные +3.2..+14.3]
-ZEROS_LOW = 758       # нули от -14.3 до -3.2 ГГц
-ZEROS_MID = 437       # нули от -3.2 до +3.2 ГГц
-SWEEP_LEN = 758       # ожидаемая длина свипа (3.2 → 14.3 ГГц)
-FREQ_SPAN_GHZ = 28.6  # полная двусторонняя полоса (-14.3 .. +14.3 ГГц)
-IFFT_LEN = ZEROS_LOW + ZEROS_MID + SWEEP_LEN  # = 1953

rfg_adc_plotter/gui/matplotlib_backend.py

@@ -1,659 +0,0 @@
-"""Matplotlib-бэкенд реалтайм-плоттера свипов."""
-
-import sys
-import threading
-from queue import Queue
-from typing import Optional, Tuple
-
-import numpy as np
-
-from rfg_adc_plotter.constants import FFT_LEN, FREQ_MAX_GHZ, FREQ_MIN_GHZ, IFFT_LEN
-from rfg_adc_plotter.io.sweep_reader import SweepReader
-from rfg_adc_plotter.processing.normalizer import build_calib_envelopes
-from rfg_adc_plotter.state.app_state import AppState, format_status
-from rfg_adc_plotter.state.ring_buffer import RingBuffer
-from rfg_adc_plotter.types import SweepPacket
-
-
-def _parse_ylim(ylim_str: Optional[str]) -> Optional[Tuple[float, float]]:
-    if not ylim_str:
-        return None
-    try:
-        y0, y1 = ylim_str.split(",")
-        return (float(y0), float(y1))
-    except Exception:
-        sys.stderr.write("[warn] Некорректный формат --ylim, игнорирую. Ожидалось min,max\n")
-        return None
-
-
-def _parse_spec_clip(spec: Optional[str]) -> Optional[Tuple[float, float]]:
-    if not spec:
-        return None
-    s = str(spec).strip().lower()
-    if s in ("off", "none", "no"):
-        return None
-    try:
-        p0, p1 = s.replace(";", ",").split(",")
-        low, high = float(p0), float(p1)
-        if not (0.0 <= low < high <= 100.0):
-            return None
-        return (low, high)
-    except Exception:
-        return None
-
-
-def _visible_levels(data: np.ndarray, axis) -> Optional[Tuple[float, float]]:
-    """(vmin, vmax) по текущей видимой области imshow."""
-    if data.size == 0:
-        return None
-    ny, nx = data.shape[0], data.shape[1]
-    try:
-        x0, x1 = axis.get_xlim()
-        y0, y1 = axis.get_ylim()
-    except Exception:
-        x0, x1 = 0.0, float(nx - 1)
-        y0, y1 = 0.0, float(ny - 1)
-    xmin, xmax = sorted((float(x0), float(x1)))
-    ymin, ymax = sorted((float(y0), float(y1)))
-    ix0 = max(0, min(nx - 1, int(np.floor(xmin))))
-    ix1 = max(0, min(nx - 1, int(np.ceil(xmax))))
-    iy0 = max(0, min(ny - 1, int(np.floor(ymin))))
-    iy1 = max(0, min(ny - 1, int(np.ceil(ymax))))
-    if ix1 < ix0:
-        ix1 = ix0
-    if iy1 < iy0:
-        iy1 = iy0
-    sub = data[iy0 : iy1 + 1, ix0 : ix1 + 1]
-    finite = np.isfinite(sub)
-    if not finite.any():
-        return None
-    vals = sub[finite]
-    vmin = float(np.min(vals))
-    vmax = float(np.max(vals))
-    if not (np.isfinite(vmin) and np.isfinite(vmax)) or vmin == vmax:
-        return None
-    return (vmin, vmax)
-
-
-def run_matplotlib(args):
-    try:
-        import matplotlib
-        import matplotlib.pyplot as plt
-        from matplotlib.animation import FuncAnimation
-        from matplotlib.widgets import Button as MplButton
-        from matplotlib.widgets import CheckButtons, RadioButtons, Slider, TextBox
-    except Exception as e:
-        sys.stderr.write(f"[error] Нужны matplotlib и её зависимости: {e}\n")
-        sys.exit(1)
-
-    q: Queue[SweepPacket] = Queue(maxsize=1000)
-    stop_event = threading.Event()
-    reader = SweepReader(
-        args.port,
-        args.baud,
-        q,
-        stop_event,
-        fancy=bool(args.fancy),
-        bin_mode=bool(getattr(args, "bin_mode", False)),
-        logscale=bool(getattr(args, "logscale", False)),
-        debug=bool(getattr(args, "debug", False)),
-    )
-    reader.start()
-
-    max_sweeps = int(max(10, args.max_sweeps))
-    max_fps = max(1.0, float(args.max_fps))
-    interval_ms = int(1000.0 / max_fps)
-    spec_clip = _parse_spec_clip(getattr(args, "spec_clip", None))
-    spec_mean_sec = float(getattr(args, "spec_mean_sec", 0.0))
-    fixed_ylim = _parse_ylim(getattr(args, "ylim", None))
-    norm_type = str(getattr(args, "norm_type", "projector")).strip().lower()
-    logscale_enabled = bool(getattr(args, "logscale", False))
-
-    state = AppState(norm_type=norm_type)
-    state.configure_capture_import(fancy=bool(args.fancy), logscale=bool(getattr(args, "logscale", False)))
-    ring = RingBuffer(max_sweeps)
-    try:
-        ring.set_fft_complex_mode(str(getattr(args, "ifft_complex_mode", "arccos")))
-    except Exception:
-        pass
-
-    # --- Создание фигуры ---
-    fig, axs = plt.subplots(2, 2, figsize=(12, 8))
-    (ax_line, ax_img), (ax_fft, ax_spec) = axs
-    if hasattr(fig.canvas.manager, "set_window_title"):
-        fig.canvas.manager.set_window_title(args.title)
-    fig.subplots_adjust(wspace=0.25, hspace=0.35, left=0.07, right=0.90, top=0.92, bottom=0.22)
-
-    # Статусная строка
-    status_text = fig.text(0.01, 0.01, "", ha="left", va="bottom", fontsize=8, family="monospace")
-    pipeline_text = fig.text(0.01, 0.03, "", ha="left", va="bottom", fontsize=8, family="monospace")
-    ref_text = fig.text(0.01, 0.05, "", ha="left", va="bottom", fontsize=8, family="monospace")
-
-    # График последнего свипа
-    line_obj, = ax_line.plot([], [], lw=1, color="tab:blue")
-    line_norm_obj, = ax_line.plot([], [], lw=1, color="tab:green")
-    line_pre_exp_obj, = ax_line.plot([], [], lw=1, color="tab:red")
-    line_post_exp_obj, = ax_line.plot([], [], lw=1, color="tab:green")
-    line_env_lo, = ax_line.plot([], [], lw=1, color="tab:orange", linestyle="--", alpha=0.7)
-    line_env_hi, = ax_line.plot([], [], lw=1, color="tab:orange", linestyle="--", alpha=0.7)
-    ax_line.set_title("Сырые данные", pad=1)
-    ax_line.set_xlabel("Частота, ГГц")
-    channel_text = ax_line.text(
-        0.98, 0.98, "", transform=ax_line.transAxes,
-        ha="right", va="top", fontsize=9, family="monospace",
-    )
-    if fixed_ylim is not None:
-        ax_line.set_ylim(fixed_ylim)
-
-    # График спектра
-    fft_line_obj, = ax_fft.plot([], [], lw=1)
-    ax_fft.set_title("FFT", pad=1)
-    ax_fft.set_xlabel("Глубина, м")
-    ax_fft.set_ylabel("Амплитуда")
-
-    # Водопад сырых данных
-    img_obj = ax_img.imshow(
-        np.zeros((1, 1), dtype=np.float32),
-        aspect="auto", interpolation="nearest", origin="lower", cmap=args.cmap,
-    )
-    ax_img.set_title("Сырые данные", pad=12)
-    ax_img.set_ylabel("частота")
-    try:
-        ax_img.tick_params(axis="x", labelbottom=False)
-    except Exception:
-        pass
-
-    # Водопад спектров
-    img_fft_obj = ax_spec.imshow(
-        np.zeros((1, 1), dtype=np.float32),
-        aspect="auto", interpolation="nearest", origin="lower", cmap=args.cmap,
-    )
-    ax_spec.set_title("B-scan", pad=12)
-    ax_spec.set_ylabel("Глубина, м")
-    try:
-        ax_spec.tick_params(axis="x", labelbottom=False)
-    except Exception:
-        pass
-
-    # Слайдеры и чекбокс
-    contrast_slider = None
-    try:
-        fft_bins = ring.fft_bins if ring.fft_bins > 0 else IFFT_LEN
-        ax_smin = fig.add_axes([0.92, 0.55, 0.02, 0.35])
-        ax_smax = fig.add_axes([0.95, 0.55, 0.02, 0.35])
-        ax_sctr = fig.add_axes([0.98, 0.55, 0.02, 0.35])
-        ax_cb = fig.add_axes([0.92, 0.45, 0.08, 0.08])
-        ax_cb_file = fig.add_axes([0.92, 0.36, 0.08, 0.08])
-        ax_line_mode = fig.add_axes([0.92, 0.10, 0.08, 0.08])
-        ax_ifft_mode = fig.add_axes([0.92, 0.01, 0.08, 0.08])
-        ymin_slider = Slider(ax_smin, "Y min", 0, max(1, fft_bins - 1), valinit=0, valstep=1, orientation="vertical")
-        ymax_slider = Slider(ax_smax, "Y max", 0, max(1, fft_bins - 1), valinit=max(1, fft_bins - 1), valstep=1, orientation="vertical")
-        contrast_slider = Slider(ax_sctr, "Int max", 0, 100, valinit=100, valstep=1, orientation="vertical")
-        calib_cb = CheckButtons(ax_cb, ["калибровка"], [False])
-        calib_file_cb = CheckButtons(ax_cb_file, ["из файла"], [False])
-        line_mode_rb = RadioButtons(ax_line_mode, ("raw", "processed"), active=0)
-        ifft_mode_rb = RadioButtons(
-            ax_ifft_mode,
-            ("arccos", "diff"),
-            active=(1 if ring.fft_complex_mode == "diff" else 0),
-        )
-        try:
-            ax_line_mode.set_title("Линия", fontsize=8, pad=2)
-        except Exception:
-            pass
-        try:
-            ax_ifft_mode.set_title("IFFT", fontsize=8, pad=2)
-        except Exception:
-            pass
-        line_mode_state = {"value": "raw"}
-        ifft_mode_state = {"value": str(ring.fft_complex_mode)}
-
-        import os as _os
-        try:
-            import tkinter as _tk
-            from tkinter import filedialog as _tk_filedialog
-            _tk_available = True
-        except Exception:
-            _tk = None
-            _tk_filedialog = None
-            _tk_available = False
-
-        # Нижняя панель путей и кнопок (работает без Qt; выбор файла через tkinter опционален).
-        ax_calib_path = fig.add_axes([0.07, 0.14, 0.40, 0.04])
-        ax_calib_load = fig.add_axes([0.48, 0.14, 0.07, 0.04])
-        ax_calib_pick = fig.add_axes([0.56, 0.14, 0.06, 0.04])
-        ax_calib_sample = fig.add_axes([0.63, 0.14, 0.09, 0.04])
-        ax_calib_save = fig.add_axes([0.73, 0.14, 0.10, 0.04])
-
-        ax_bg_path = fig.add_axes([0.07, 0.09, 0.40, 0.04])
-        ax_bg_load = fig.add_axes([0.48, 0.09, 0.07, 0.04])
-        ax_bg_pick = fig.add_axes([0.56, 0.09, 0.06, 0.04])
-        ax_bg_sample = fig.add_axes([0.63, 0.09, 0.09, 0.04])
-        ax_bg_save2 = fig.add_axes([0.73, 0.09, 0.10, 0.04])
-
-        calib_path_box = TextBox(ax_calib_path, "Калибр", initial=state.calib_envelope_path)
-        bg_path_box = TextBox(ax_bg_path, "Фон", initial=state.background_path)
-
-        calib_load_btn2 = MplButton(ax_calib_load, "Загруз.")
-        calib_pick_btn2 = MplButton(ax_calib_pick, "Файл")
-        calib_sample_btn2 = MplButton(ax_calib_sample, "sample")
-        calib_save_btn2 = MplButton(ax_calib_save, "Сохр env")
-
-        bg_load_btn2 = MplButton(ax_bg_load, "Загруз.")
-        bg_pick_btn2 = MplButton(ax_bg_pick, "Файл")
-        bg_sample_btn2 = MplButton(ax_bg_sample, "sample")
-        bg_save_btn2 = MplButton(ax_bg_save2, "Сохр фон")
-
-        if not _tk_available:
-            try:
-                calib_pick_btn2.label.set_text("Файл-")
-                bg_pick_btn2.label.set_text("Файл-")
-            except Exception:
-                pass
-
-        def _tb_text(tb):
-            try:
-                return str(tb.text).strip()
-            except Exception:
-                return ""
-
-        def _pick_file_dialog(initial_path: str) -> str:
-            if not _tk_available or _tk is None or _tk_filedialog is None:
-                return ""
-            root = None
-            try:
-                root = _tk.Tk()
-                root.withdraw()
-                root.attributes("-topmost", True)
-            except Exception:
-                root = None
-            try:
-                return str(
-                    _tk_filedialog.askopenfilename(
-                        initialdir=_os.path.dirname(initial_path) or ".",
-                        initialfile=_os.path.basename(initial_path) or "",
-                        title="Выбрать файл эталона (.npy или capture)",
-                    )
-                )
-            finally:
-                try:
-                    if root is not None:
-                        root.destroy()
-                except Exception:
-                    pass
-
-        def _sync_path_boxes():
-            try:
-                if _tb_text(calib_path_box) != state.calib_envelope_path:
-                    calib_path_box.set_val(state.calib_envelope_path)
-            except Exception:
-                pass
-            try:
-                if _tb_text(bg_path_box) != state.background_path:
-                    bg_path_box.set_val(state.background_path)
-            except Exception:
-                pass
-
-        def _refresh_status_texts():
-            pipeline_text.set_text(f"{state.format_pipeline_status()} | cplx:{ring.fft_complex_mode}")
-            ref_text.set_text(state.format_reference_status())
-            try:
-                fig.canvas.draw_idle()
-            except Exception:
-                pass
-
-        def _line_mode() -> str:
-            return str(line_mode_state.get("value", "raw"))
-
-        def _refresh_checkboxes():
-            try:
-                # file-mode чекбокс показываем всегда; он активен при наличии пути/данных.
-                ax_cb_file.set_visible(True)
-            except Exception:
-                pass
-
-        def _load_calib_from_ui():
-            p = _tb_text(calib_path_box)
-            if p:
-                state.set_calib_envelope_path(p)
-            ok = state.load_calib_reference()
-            if ok and bool(calib_file_cb.get_status()[0]):
-                state.set_calib_mode("file")
-                state.set_calib_enabled(bool(calib_cb.get_status()[0]))
-            _sync_path_boxes()
-            _refresh_checkboxes()
-            _refresh_status_texts()
-            return ok
-
-        def _load_bg_from_ui():
-            p = _tb_text(bg_path_box)
-            if p:
-                state.set_background_path(p)
-            ok = state.load_background_reference()
-            _sync_path_boxes()
-            _refresh_status_texts()
-            return ok
-
-        def _on_ylim_change(_val):
-            try:
-                y0 = int(min(ymin_slider.val, ymax_slider.val))
-                y1 = int(max(ymin_slider.val, ymax_slider.val))
-                ax_spec.set_ylim(y0, y1)
-                fig.canvas.draw_idle()
-            except Exception:
-                pass
-
-        def _on_calib_file_clicked(_v):
-            use_file = bool(calib_file_cb.get_status()[0])
-            if use_file:
-                ok = _load_calib_from_ui()
-                if ok:
-                    state.set_calib_mode("file")
-                else:
-                    calib_file_cb.set_active(0)  # снять галочку
-            else:
-                state.set_calib_mode("live")
-            state.set_calib_enabled(bool(calib_cb.get_status()[0]))
-            _refresh_status_texts()
-
-        def _on_calib_clicked(_v):
-            state.set_calib_enabled(bool(calib_cb.get_status()[0]))
-            _refresh_checkboxes()
-            _refresh_status_texts()
-
-        ax_btn_bg = fig.add_axes([0.92, 0.27, 0.08, 0.05])
-        ax_cb_bg = fig.add_axes([0.92, 0.20, 0.08, 0.06])
-        save_bg_btn = MplButton(ax_btn_bg, "Сохр. фон")
-        bg_cb = CheckButtons(ax_cb_bg, ["вычет фона"], [False])
-
-        def _on_save_bg(_event):
-            ok = state.save_background()
-            if ok:
-                state.load_background()
-            _sync_path_boxes()
-            _refresh_status_texts()
-
-        def _on_bg_clicked(_v):
-            state.set_background_enabled(bool(bg_cb.get_status()[0]))
-            _refresh_status_texts()
-
-        def _on_calib_load_btn(_event):
-            _load_calib_from_ui()
-
-        def _on_calib_pick_btn(_event):
-            path = _pick_file_dialog(_tb_text(calib_path_box) or state.calib_envelope_path)
-            if not path:
-                return
-            state.set_calib_envelope_path(path)
-            _sync_path_boxes()
-            _refresh_status_texts()
-
-        def _on_calib_sample_btn(_event):
-            state.set_calib_envelope_path(_os.path.join("sample_data", "no_antennas_35dB_attenuators"))
-            _sync_path_boxes()
-            if _load_calib_from_ui() and not bool(calib_file_cb.get_status()[0]):
-                calib_file_cb.set_active(0)
-
-        def _on_calib_save_btn(_event):
-            state.save_calib_envelope()
-            _sync_path_boxes()
-            _refresh_status_texts()
-
-        def _on_bg_load_btn(_event):
-            _load_bg_from_ui()
-
-        def _on_bg_pick_btn(_event):
-            path = _pick_file_dialog(_tb_text(bg_path_box) or state.background_path)
-            if not path:
-                return
-            state.set_background_path(path)
-            _sync_path_boxes()
-            _refresh_status_texts()
-
-        def _on_bg_sample_btn(_event):
-            state.set_background_path(_os.path.join("sample_data", "empty"))
-            _sync_path_boxes()
-            _load_bg_from_ui()
-
-        def _on_bg_save_btn2(_event):
-            ok = state.save_background()
-            if ok:
-                state.load_background()
-            _sync_path_boxes()
-            _refresh_status_texts()
-
-        def _on_line_mode_clicked(label):
-            line_mode_state["value"] = str(label)
-            try:
-                fig.canvas.draw_idle()
-            except Exception:
-                pass
-
-        def _on_ifft_mode_clicked(label):
-            ifft_mode_state["value"] = str(label)
-            try:
-                ring.set_fft_complex_mode(str(label))
-            except Exception:
-                pass
-            _refresh_status_texts()
-            try:
-                fig.canvas.draw_idle()
-            except Exception:
-                pass
-
-        save_bg_btn.on_clicked(_on_save_bg)
-        bg_cb.on_clicked(_on_bg_clicked)
-        calib_load_btn2.on_clicked(_on_calib_load_btn)
-        calib_pick_btn2.on_clicked(_on_calib_pick_btn)
-        calib_sample_btn2.on_clicked(_on_calib_sample_btn)
-        calib_save_btn2.on_clicked(_on_calib_save_btn)
-        bg_load_btn2.on_clicked(_on_bg_load_btn)
-        bg_pick_btn2.on_clicked(_on_bg_pick_btn)
-        bg_sample_btn2.on_clicked(_on_bg_sample_btn)
-        bg_save_btn2.on_clicked(_on_bg_save_btn2)
-        line_mode_rb.on_clicked(_on_line_mode_clicked)
-        ifft_mode_rb.on_clicked(_on_ifft_mode_clicked)
-
-        ymin_slider.on_changed(_on_ylim_change)
-        ymax_slider.on_changed(_on_ylim_change)
-        contrast_slider.on_changed(lambda _v: fig.canvas.draw_idle())
-        calib_cb.on_clicked(_on_calib_clicked)
-        calib_file_cb.on_clicked(_on_calib_file_clicked)
-        _sync_path_boxes()
-        _refresh_checkboxes()
-        _refresh_status_texts()
-    except Exception:
-        calib_cb = None
-        line_mode_state = {"value": "raw"}
-        ifft_mode_state = {"value": str(getattr(ring, "fft_complex_mode", "arccos"))}
-
-    FREQ_MIN = float(FREQ_MIN_GHZ)
-    FREQ_MAX = float(FREQ_MAX_GHZ)
-
-    def _fft_depth_max() -> float:
-        axis = ring.fft_depth_axis_m
-        if axis is None or axis.size == 0:
-            return 1.0
-        try:
-            vmax = float(axis[-1])
-        except Exception:
-            vmax = float(np.nanmax(axis))
-        if not np.isfinite(vmax) or vmax <= 0.0:
-            return 1.0
-        return vmax
-
-    # --- Инициализация imshow при первом свипе ---
-    def _init_imshow_extents():
-        w = ring.width
-        ms = ring.max_sweeps
-        fb = max(1, int(ring.fft_bins))
-        depth_max = _fft_depth_max()
-        img_obj.set_data(np.zeros((w, ms), dtype=np.float32))
-        img_obj.set_extent((0, ms - 1, FREQ_MIN, FREQ_MAX))
-        ax_img.set_xlim(0, ms - 1)
-        ax_img.set_ylim(FREQ_MIN, FREQ_MAX)
-        img_fft_obj.set_data(np.zeros((fb, ms), dtype=np.float32))
-        img_fft_obj.set_extent((0, ms - 1, 0.0, depth_max))
-        ax_spec.set_xlim(0, ms - 1)
-        ax_spec.set_ylim(0.0, depth_max)
-        ax_fft.set_xlim(0.0, depth_max)
-
-    _imshow_initialized = [False]
-
-    def update(_frame):
-        changed = state.drain_queue(q, ring) > 0
-
-        if changed and not _imshow_initialized[0] and ring.is_ready:
-            _init_imshow_extents()
-            _imshow_initialized[0] = True
-
-        # Линейный график свипа
-        if state.current_sweep_raw is not None:
-            raw = state.current_sweep_raw
-            if ring.x_shared is not None and raw.size <= ring.x_shared.size:
-                xs = ring.x_shared[: raw.size]
-            else:
-                xs = np.arange(raw.size, dtype=np.int32)
-            line_mode = str(line_mode_state.get("value", "raw"))
-            main = state.current_sweep_processed if line_mode == "processed" else raw
-            if main is not None:
-                line_obj.set_data(xs[: main.size], main)
-            else:
-                line_obj.set_data([], [])
-            if line_mode == "raw":
-                if state.calib_mode == "file" and state.calib_file_envelope is not None:
-                    upper = np.asarray(state.calib_file_envelope, dtype=np.float32)
-                    n_env = min(xs.size, upper.size)
-                    if n_env > 0:
-                        x_env = xs[:n_env]
-                        y_env = upper[:n_env]
-                        line_env_lo.set_data(x_env, -y_env)
-                        line_env_hi.set_data(x_env, y_env)
-                    else:
-                        line_env_lo.set_data([], [])
-                        line_env_hi.set_data([], [])
-                elif state.last_calib_sweep is not None:
-                    calib = np.asarray(state.last_calib_sweep, dtype=np.float32)
-                    lower, upper = build_calib_envelopes(calib)
-                    n_env = min(xs.size, lower.size, upper.size)
-                    if n_env > 0:
-                        line_env_lo.set_data(xs[:n_env], lower[:n_env])
-                        line_env_hi.set_data(xs[:n_env], upper[:n_env])
-                    else:
-                        line_env_lo.set_data([], [])
-                        line_env_hi.set_data([], [])
-                else:
-                    line_env_lo.set_data([], [])
-                    line_env_hi.set_data([], [])
-            else:
-                line_env_lo.set_data([], [])
-                line_env_hi.set_data([], [])
-            if logscale_enabled:
-                if state.current_sweep_pre_exp is not None:
-                    pre = state.current_sweep_pre_exp
-                    line_pre_exp_obj.set_data(xs[: pre.size], pre)
-                else:
-                    line_pre_exp_obj.set_data([], [])
-
-                post = state.current_sweep_post_exp if state.current_sweep_post_exp is not None else raw
-                line_post_exp_obj.set_data(xs[: post.size], post)
-
-                if line_mode == "processed":
-                    if state.current_sweep_processed is not None:
-                        proc = state.current_sweep_processed
-                        line_obj.set_data(xs[: proc.size], proc)
-                    else:
-                        line_obj.set_data([], [])
-                else:
-                    line_obj.set_data(xs[: raw.size], raw)
-                line_norm_obj.set_data([], [])
-            else:
-                line_pre_exp_obj.set_data([], [])
-                line_post_exp_obj.set_data([], [])
-                if line_mode == "raw" and state.current_sweep_norm is not None:
-                    line_norm_obj.set_data(
-                        xs[: state.current_sweep_norm.size], state.current_sweep_norm
-                    )
-                else:
-                    line_norm_obj.set_data([], [])
-            ax_line.set_xlim(FREQ_MIN, FREQ_MAX)
-            if fixed_ylim is not None:
-                ax_line.set_ylim(fixed_ylim)
-            else:
-                ax_line.relim()
-                ax_line.autoscale_view(scalex=False, scaley=True)
-            ax_line.set_ylabel("Y")
-
-            # Профиль по глубине — используем уже вычисленный в ring IFFT.
-            if ring.last_fft_vals is not None and ring.fft_depth_axis_m is not None:
-                fft_vals = ring.last_fft_vals
-                xs_fft = ring.fft_depth_axis_m
-                n = min(fft_vals.size, xs_fft.size)
-                if n > 0:
-                    fft_line_obj.set_data(xs_fft[:n], fft_vals[:n])
-                else:
-                    fft_line_obj.set_data([], [])
-                if n > 0 and np.isfinite(np.nanmin(fft_vals)) and np.isfinite(np.nanmax(fft_vals)):
-                    ax_fft.set_xlim(0, float(xs_fft[n - 1]))
-                    ax_fft.set_ylim(float(np.nanmin(fft_vals)), float(np.nanmax(fft_vals)))
-
-        # Водопад сырых данных
-        if changed and ring.is_ready:
-            disp = ring.get_display_ring()
-            if ring.x_shared is not None:
-                n = ring.x_shared.size
-                disp = disp[:n, :]
-            img_obj.set_data(disp)
-            img_obj.set_extent((0, ring.max_sweeps - 1, FREQ_MIN, FREQ_MAX))
-            ax_img.set_ylim(FREQ_MIN, FREQ_MAX)
-            levels = _visible_levels(disp, ax_img)
-            if levels is not None:
-                img_obj.set_clim(vmin=levels[0], vmax=levels[1])
-
-        # Водопад спектров
-        if changed and ring.is_ready:
-            disp_fft = ring.get_display_ring_fft()
-            disp_fft = ring.subtract_recent_mean_fft(disp_fft, spec_mean_sec)
-            img_fft_obj.set_data(disp_fft)
-            depth_max = _fft_depth_max()
-            img_fft_obj.set_extent((0, ring.max_sweeps - 1, 0.0, depth_max))
-            ax_spec.set_ylim(0.0, depth_max)
-            levels = ring.compute_fft_levels(disp_fft, spec_clip)
-            if levels is not None:
-                try:
-                    c = float(contrast_slider.val) / 100.0 if contrast_slider is not None else 1.0
-                except Exception:
-                    c = 1.0
-                vmax_eff = levels[0] + c * (levels[1] - levels[0])
-                img_fft_obj.set_clim(vmin=levels[0], vmax=vmax_eff)
-
-        # Статус и подпись канала
-        if changed and state.current_info:
-            status_text.set_text(format_status(state.current_info))
-            channel_text.set_text(state.format_channel_label())
-            pipeline_text.set_text(f"{state.format_pipeline_status()} | cplx:{ring.fft_complex_mode}")
-            ref_text.set_text(state.format_reference_status())
-        elif changed:
-            pipeline_text.set_text(f"{state.format_pipeline_status()} | cplx:{ring.fft_complex_mode}")
-            ref_text.set_text(state.format_reference_status())
-
-        return (
-            line_obj,
-            line_norm_obj,
-            line_pre_exp_obj,
-            line_post_exp_obj,
-            line_env_lo,
-            line_env_hi,
-            img_obj,
-            fft_line_obj,
-            img_fft_obj,
-            status_text,
-            pipeline_text,
-            ref_text,
-            channel_text,
-        )
-
-    ani = FuncAnimation(fig, update, interval=interval_ms, blit=False)
-    plt.show()
-    stop_event.set()
-    reader.join(timeout=1.0)

rfg_adc_plotter/gui/pyqtgraph_backend.py

@@ -1,691 +0,0 @@
-"""PyQtGraph-бэкенд реалтайм-плоттера свипов."""
-
-import os
-import sys
-import threading
-from queue import Queue
-from typing import Optional, Tuple
-
-import numpy as np
-
-from rfg_adc_plotter.constants import FREQ_MAX_GHZ, FREQ_MIN_GHZ
-from rfg_adc_plotter.io.sweep_reader import SweepReader
-from rfg_adc_plotter.processing.normalizer import build_calib_envelopes
-from rfg_adc_plotter.state.app_state import AppState, format_status
-from rfg_adc_plotter.state.ring_buffer import RingBuffer
-from rfg_adc_plotter.types import SweepPacket
-
-
-def _parse_ylim(ylim_str: Optional[str]) -> Optional[Tuple[float, float]]:
-    if not ylim_str:
-        return None
-    try:
-        y0, y1 = ylim_str.split(",")
-        return (float(y0), float(y1))
-    except Exception:
-        return None
-
-
-def _parse_spec_clip(spec: Optional[str]) -> Optional[Tuple[float, float]]:
-    if not spec:
-        return None
-    s = str(spec).strip().lower()
-    if s in ("off", "none", "no"):
-        return None
-    try:
-        p0, p1 = s.replace(";", ",").split(",")
-        low, high = float(p0), float(p1)
-        if not (0.0 <= low < high <= 100.0):
-            return None
-        return (low, high)
-    except Exception:
-        return None
-
-
-def _visible_levels(
-    data: np.ndarray,
-    plot_item,
-    freq_min: Optional[float] = None,
-    freq_max: Optional[float] = None,
-) -> Optional[Tuple[float, float]]:
-    """(vmin, vmax) по текущей видимой области ImageItem.
-
-    Если freq_min/freq_max заданы, ось Y трактуется как частота [freq_min..freq_max]
-    и пересчитывается в индексы строк данных.
-    """
-    if data.size == 0:
-        return None
-    ny, nx = data.shape[0], data.shape[1]
-    try:
-        (x0, x1), (y0, y1) = plot_item.viewRange()
-    except Exception:
-        x0, x1 = 0.0, float(nx - 1)
-        y0, y1 = 0.0, float(ny - 1)
-    xmin, xmax = sorted((float(x0), float(x1)))
-    ymin, ymax = sorted((float(y0), float(y1)))
-    ix0 = max(0, min(nx - 1, int(np.floor(xmin))))
-    ix1 = max(0, min(nx - 1, int(np.ceil(xmax))))
-    if freq_min is not None and freq_max is not None and freq_max > freq_min:
-        span = freq_max - freq_min
-        iy0 = max(0, min(ny - 1, int(np.floor((ymin - freq_min) / span * ny))))
-        iy1 = max(0, min(ny - 1, int(np.ceil((ymax - freq_min) / span * ny))))
-    else:
-        iy0 = max(0, min(ny - 1, int(np.floor(ymin))))
-        iy1 = max(0, min(ny - 1, int(np.ceil(ymax))))
-    if ix1 < ix0:
-        ix1 = ix0
-    if iy1 < iy0:
-        iy1 = iy0
-    sub = data[iy0 : iy1 + 1, ix0 : ix1 + 1]
-    finite = np.isfinite(sub)
-    if not finite.any():
-        return None
-    vals = sub[finite]
-    vmin = float(np.min(vals))
-    vmax = float(np.max(vals))
-    if not (np.isfinite(vmin) and np.isfinite(vmax)) or vmin == vmax:
-        return None
-    return (vmin, vmax)
-
-
-def _short_path(path: str, max_len: int = 48) -> str:
-    p = str(path or "").strip()
-    if not p:
-        return "(не задан)"
-    if len(p) <= max_len:
-        return p
-    base = os.path.basename(p)
-    if len(base) <= max_len:
-        return f".../{base}"
-    return "..." + p[-(max_len - 3) :]
-
-
-def run_pyqtgraph(args):
-    """Быстрый GUI на PyQtGraph. Требует pyqtgraph и PyQt5/PySide6."""
-    try:
-        import pyqtgraph as pg
-        from PyQt5 import QtCore, QtWidgets  # noqa: F401
-    except Exception:
-        try:
-            import pyqtgraph as pg
-            from PySide6 import QtCore, QtWidgets  # noqa: F401
-        except Exception as e:
-            raise RuntimeError(
-                "pyqtgraph/PyQt5(PySide6) не найдены. Установите: pip install pyqtgraph PyQt5"
-            ) from e
-
-    q: Queue[SweepPacket] = Queue(maxsize=1000)
-    stop_event = threading.Event()
-    reader = SweepReader(
-        args.port,
-        args.baud,
-        q,
-        stop_event,
-        fancy=bool(args.fancy),
-        bin_mode=bool(getattr(args, "bin_mode", False)),
-        logscale=bool(getattr(args, "logscale", False)),
-        debug=bool(getattr(args, "debug", False)),
-    )
-    reader.start()
-
-    max_sweeps = int(max(10, args.max_sweeps))
-    max_fps = max(1.0, float(args.max_fps))
-    interval_ms = int(1000.0 / max_fps)
-    spec_clip = _parse_spec_clip(getattr(args, "spec_clip", None))
-    spec_mean_sec = float(getattr(args, "spec_mean_sec", 0.0))
-    fixed_ylim = _parse_ylim(getattr(args, "ylim", None))
-    norm_type = str(getattr(args, "norm_type", "projector")).strip().lower()
-    logscale_enabled = bool(getattr(args, "logscale", False))
-
-    state = AppState(norm_type=norm_type)
-    state.configure_capture_import(fancy=bool(args.fancy), logscale=bool(getattr(args, "logscale", False)))
-    ring = RingBuffer(max_sweeps)
-    try:
-        ring.set_fft_complex_mode(str(getattr(args, "ifft_complex_mode", "arccos")))
-    except Exception:
-        pass
-
-    try:
-        _qt_text_selectable = QtCore.Qt.TextSelectableByMouse
-    except Exception:
-        try:
-            _qt_text_selectable = QtCore.Qt.TextInteractionFlag.TextSelectableByMouse
-        except Exception:
-            _qt_text_selectable = None
-
-    # --- Создание окна ---
-    pg.setConfigOptions(useOpenGL=True, antialias=False)
-    app = pg.mkQApp(args.title)
-    win = pg.GraphicsLayoutWidget(show=True, title=args.title)
-    win.resize(1280, 760)
-
-    # График последнего свипа (слева-сверху)
-    p_line = win.addPlot(row=0, col=0, title="Сырые данные")
-    p_line.showGrid(x=True, y=True, alpha=0.3)
-    curve = p_line.plot(pen=pg.mkPen((80, 120, 255), width=1))
-    curve_norm = p_line.plot(pen=pg.mkPen((60, 180, 90), width=1))
-    curve_pre_exp = p_line.plot(pen=pg.mkPen((220, 60, 60), width=1))
-    curve_post_exp = p_line.plot(pen=pg.mkPen((60, 180, 90), width=1))
-    curve_env_lo = p_line.plot(pen=pg.mkPen((255, 165, 0), width=1, style=QtCore.Qt.DashLine))
-    curve_env_hi = p_line.plot(pen=pg.mkPen((255, 165, 0), width=1, style=QtCore.Qt.DashLine))
-    p_line.setLabel("bottom", "Частота, ГГц")
-    p_line.setLabel("left", "Y")
-    p_line.setXRange(3.323, 14.323, padding=0)
-    p_line.enableAutoRange(axis="x", enable=False)
-    ch_text = pg.TextItem("", anchor=(1, 1))
-    ch_text.setZValue(10)
-    p_line.addItem(ch_text)
-    if fixed_ylim is not None:
-        p_line.setYRange(fixed_ylim[0], fixed_ylim[1], padding=0)
-
-    # Водопад (справа-сверху)
-    p_img = win.addPlot(row=0, col=1, title="Сырые данные водопад")
-    p_img.invertY(False)
-    p_img.showGrid(x=False, y=False)
-    p_img.setLabel("bottom", "Время (новое справа)")
-    try:
-        p_img.getAxis("bottom").setStyle(showValues=False)
-    except Exception:
-        pass
-    p_img.setLabel("left", "Частота, ГГц")
-    p_img.enableAutoRange(enable=False)
-    img = pg.ImageItem()
-    p_img.addItem(img)
-
-    # Применяем LUT из цветовой карты
-    try:
-        cm = pg.colormap.get(args.cmap)
-        img.setLookupTable(cm.getLookupTable(0.0, 1.0, 256))
-    except Exception:
-        pass
-
-    # FFT (слева-снизу)
-    p_fft = win.addPlot(row=1, col=0, title="FFT")
-    p_fft.showGrid(x=True, y=True, alpha=0.3)
-    curve_fft = p_fft.plot(pen=pg.mkPen((255, 120, 80), width=1))
-    p_fft.setLabel("bottom", "Глубина, м")
-    p_fft.setLabel("left", "Амплитуда")
-
-    # Водопад спектров (справа-снизу)
-    p_spec = win.addPlot(row=1, col=1, title="B-scan")
-    p_spec.invertY(True)
-    p_spec.showGrid(x=False, y=False)
-    p_spec.setLabel("bottom", "Время (новое справа)")
-    try:
-        p_spec.getAxis("bottom").setStyle(showValues=False)
-    except Exception:
-        pass
-    p_spec.setLabel("left", "Глубина, м")
-    img_fft = pg.ImageItem()
-    p_spec.addItem(img_fft)
-
-    # Блок управления калибровкой
-    calib_widget = QtWidgets.QWidget()
-    calib_layout = QtWidgets.QVBoxLayout(calib_widget)
-    calib_layout.setContentsMargins(2, 2, 2, 2)
-    calib_layout.setSpacing(4)
-
-    calib_row_1 = QtWidgets.QHBoxLayout()
-    calib_row_1.setSpacing(8)
-    calib_row_2 = QtWidgets.QHBoxLayout()
-    calib_row_2.setSpacing(6)
-
-    calib_cb = QtWidgets.QCheckBox("калибровка")
-    calib_file_cb = QtWidgets.QCheckBox("из файла")
-    calib_file_cb.setEnabled(False)
-    calib_path_label = QtWidgets.QLabel()
-    calib_path_label.setMinimumWidth(260)
-    if _qt_text_selectable is not None:
-        calib_path_label.setTextInteractionFlags(_qt_text_selectable)
-    calib_pick_btn = QtWidgets.QPushButton("Файл…")
-    calib_load_btn = QtWidgets.QPushButton("Загрузить")
-    calib_save_btn = QtWidgets.QPushButton("Сохранить env")
-    calib_sample_btn = QtWidgets.QPushButton("sample calib")
-
-    calib_row_1.addWidget(calib_cb)
-    calib_row_1.addWidget(calib_file_cb)
-    calib_row_1.addStretch(1)
-
-    calib_row_2.addWidget(QtWidgets.QLabel("Калибр:"))
-    calib_row_2.addWidget(calib_path_label, 1)
-    calib_row_2.addWidget(calib_pick_btn)
-    calib_row_2.addWidget(calib_load_btn)
-    calib_row_2.addWidget(calib_save_btn)
-    calib_row_2.addWidget(calib_sample_btn)
-
-    calib_layout.addLayout(calib_row_1)
-    calib_layout.addLayout(calib_row_2)
-
-    cb_container_proxy = QtWidgets.QGraphicsProxyWidget()
-    cb_container_proxy.setWidget(calib_widget)
-    win.addItem(cb_container_proxy, row=2, col=1)
-
-    def _refresh_calib_controls():
-        calib_path_label.setText(_short_path(state.calib_envelope_path))
-        calib_path_label.setToolTip(state.calib_envelope_path)
-        calib_load_btn.setEnabled(bool(state.calib_envelope_path) and os.path.isfile(state.calib_envelope_path))
-        calib_save_btn.setEnabled(state.last_calib_sweep is not None)
-        # Переключатель file-mode доступен, если файл существует или уже загружен в память.
-        calib_file_cb.setEnabled(state.has_calib_envelope_file() or state.calib_file_envelope is not None)
-
-    def _on_calib_file_toggled(checked):
-        if checked:
-            ok = state.load_calib_reference()
-            if ok:
-                state.set_calib_mode("file")
-            else:
-                calib_file_cb.setChecked(False)
-        else:
-            state.set_calib_mode("live")
-        state.set_calib_enabled(calib_cb.isChecked())
-        _refresh_calib_controls()
-        _refresh_pipeline_label()
-
-    def _on_calib_toggled(_v):
-        state.set_calib_enabled(calib_cb.isChecked())
-        _refresh_calib_controls()
-        _refresh_pipeline_label()
-
-    def _on_pick_calib_path():
-        path, _ = QtWidgets.QFileDialog.getOpenFileName(
-            win,
-            "Выбрать источник калибровки (.npy или capture)",
-            state.calib_envelope_path,
-            "Все файлы (*);;NumPy (*.npy)",
-        )
-        if not path:
-            return
-        state.set_calib_envelope_path(path)
-        if calib_file_cb.isChecked():
-            if state.load_calib_reference():
-                state.set_calib_mode("file")
-                state.set_calib_enabled(calib_cb.isChecked())
-            else:
-                calib_file_cb.setChecked(False)
-        _refresh_calib_controls()
-        _refresh_pipeline_label()
-
-    def _on_load_calib():
-        if state.load_calib_reference():
-            if calib_file_cb.isChecked():
-                state.set_calib_mode("file")
-                state.set_calib_enabled(calib_cb.isChecked())
-        _refresh_calib_controls()
-        _refresh_pipeline_label()
-
-    def _on_save_calib():
-        if state.save_calib_envelope():
-            if calib_file_cb.isChecked():
-                state.load_calib_envelope()
-                state.set_calib_mode("file")
-                state.set_calib_enabled(calib_cb.isChecked())
-        _refresh_calib_controls()
-        _refresh_pipeline_label()
-
-    def _on_sample_calib():
-        sample_path = os.path.join("sample_data", "no_antennas_35dB_attenuators")
-        state.set_calib_envelope_path(sample_path)
-        if state.load_calib_reference():
-            calib_file_cb.setChecked(True)
-            state.set_calib_mode("file")
-            state.set_calib_enabled(calib_cb.isChecked())
-        _refresh_calib_controls()
-        _refresh_pipeline_label()
-
-    calib_cb.stateChanged.connect(_on_calib_toggled)
-    calib_file_cb.stateChanged.connect(lambda _v: _on_calib_file_toggled(calib_file_cb.isChecked()))
-    calib_pick_btn.clicked.connect(_on_pick_calib_path)
-    calib_load_btn.clicked.connect(_on_load_calib)
-    calib_save_btn.clicked.connect(_on_save_calib)
-    calib_sample_btn.clicked.connect(_on_sample_calib)
-
-    # Блок управления фоном
-    bg_widget = QtWidgets.QWidget()
-    bg_layout = QtWidgets.QVBoxLayout(bg_widget)
-    bg_layout.setContentsMargins(2, 2, 2, 2)
-    bg_layout.setSpacing(4)
-
-    bg_row_1 = QtWidgets.QHBoxLayout()
-    bg_row_1.setSpacing(8)
-    bg_row_2 = QtWidgets.QHBoxLayout()
-    bg_row_2.setSpacing(6)
-
-    save_bg_btn = QtWidgets.QPushButton("Сохранить фон")
-    load_bg_btn = QtWidgets.QPushButton("Загрузить")
-    bg_pick_btn = QtWidgets.QPushButton("Файл…")
-    bg_sample_btn = QtWidgets.QPushButton("sample bg")
-    bg_cb = QtWidgets.QCheckBox("вычет фона")
-    bg_cb.setEnabled(False)  # активируется при успешной загрузке/сохранении
-    bg_path_label = QtWidgets.QLabel()
-    bg_path_label.setMinimumWidth(260)
-    if _qt_text_selectable is not None:
-        bg_path_label.setTextInteractionFlags(_qt_text_selectable)
-
-    bg_row_1.addWidget(bg_cb)
-    bg_row_1.addStretch(1)
-
-    bg_row_2.addWidget(QtWidgets.QLabel("Фон:"))
-    bg_row_2.addWidget(bg_path_label, 1)
-    bg_row_2.addWidget(bg_pick_btn)
-    bg_row_2.addWidget(load_bg_btn)
-    bg_row_2.addWidget(save_bg_btn)
-    bg_row_2.addWidget(bg_sample_btn)
-
-    bg_layout.addLayout(bg_row_1)
-    bg_layout.addLayout(bg_row_2)
-
-    bg_container_proxy = QtWidgets.QGraphicsProxyWidget()
-    bg_container_proxy.setWidget(bg_widget)
-    win.addItem(bg_container_proxy, row=2, col=0)
-
-    def _refresh_bg_controls():
-        bg_path_label.setText(_short_path(state.background_path))
-        bg_path_label.setToolTip(state.background_path)
-        load_bg_btn.setEnabled(bool(state.background_path) and os.path.isfile(state.background_path))
-        bg_cb.setEnabled(state.background is not None or state.background_source_type == "capture_raw")
-
-    def _on_pick_bg_path():
-        path, _ = QtWidgets.QFileDialog.getOpenFileName(
-            win,
-            "Выбрать источник фона (.npy или capture)",
-            state.background_path,
-            "Все файлы (*);;NumPy (*.npy)",
-        )
-        if not path:
-            return
-        state.set_background_path(path)
-        if bg_cb.isChecked():
-            if not state.load_background_reference():
-                bg_cb.setChecked(False)
-        _refresh_bg_controls()
-        _refresh_pipeline_label()
-
-    def _on_load_bg():
-        state.load_background_reference()
-        _refresh_bg_controls()
-        _refresh_pipeline_label()
-
-    def _on_save_bg():
-        ok = state.save_background()
-        if ok:
-            state.load_background()
-        _refresh_bg_controls()
-        _refresh_pipeline_label()
-
-    def _on_bg_toggled(_v):
-        state.set_background_enabled(bg_cb.isChecked())
-        _refresh_pipeline_label()
-
-    def _on_sample_bg():
-        sample_path = os.path.join("sample_data", "empty")
-        state.set_background_path(sample_path)
-        if state.load_background_reference():
-            bg_cb.setEnabled(True)
-        _refresh_bg_controls()
-        _refresh_pipeline_label()
-
-    bg_pick_btn.clicked.connect(_on_pick_bg_path)
-    load_bg_btn.clicked.connect(_on_load_bg)
-    save_bg_btn.clicked.connect(_on_save_bg)
-    bg_cb.stateChanged.connect(_on_bg_toggled)
-    bg_sample_btn.clicked.connect(_on_sample_bg)
-
-    # Переключатель отображения верхнего линейного графика
-    line_mode_widget = QtWidgets.QWidget()
-    line_mode_layout = QtWidgets.QHBoxLayout(line_mode_widget)
-    line_mode_layout.setContentsMargins(2, 2, 2, 2)
-    line_mode_layout.setSpacing(8)
-    line_mode_layout.addWidget(QtWidgets.QLabel("Линия:"))
-    line_mode_raw_rb = QtWidgets.QRadioButton("raw")
-    line_mode_proc_rb = QtWidgets.QRadioButton("processed")
-    line_mode_raw_rb.setChecked(True)
-    line_mode_layout.addWidget(line_mode_raw_rb)
-    line_mode_layout.addWidget(line_mode_proc_rb)
-    line_mode_layout.addStretch(1)
-    line_mode_proxy = QtWidgets.QGraphicsProxyWidget()
-    line_mode_proxy.setWidget(line_mode_widget)
-    win.addItem(line_mode_proxy, row=6, col=0, colspan=2)
-
-    def _line_mode() -> str:
-        return "processed" if line_mode_proc_rb.isChecked() else "raw"
-
-    # Переключатель режима реконструкции комплексного спектра перед IFFT
-    ifft_mode_widget = QtWidgets.QWidget()
-    ifft_mode_layout = QtWidgets.QHBoxLayout(ifft_mode_widget)
-    ifft_mode_layout.setContentsMargins(2, 2, 2, 2)
-    ifft_mode_layout.setSpacing(8)
-    ifft_mode_layout.addWidget(QtWidgets.QLabel("IFFT mode:"))
-    ifft_mode_arccos_rb = QtWidgets.QRadioButton("arccos")
-    ifft_mode_diff_rb = QtWidgets.QRadioButton("diff")
-    if ring.fft_complex_mode == "diff":
-        ifft_mode_diff_rb.setChecked(True)
-    else:
-        ifft_mode_arccos_rb.setChecked(True)
-    ifft_mode_layout.addWidget(ifft_mode_arccos_rb)
-    ifft_mode_layout.addWidget(ifft_mode_diff_rb)
-    ifft_mode_layout.addStretch(1)
-    ifft_mode_proxy = QtWidgets.QGraphicsProxyWidget()
-    ifft_mode_proxy.setWidget(ifft_mode_widget)
-    win.addItem(ifft_mode_proxy, row=7, col=0, colspan=2)
-
-    # Статусная строка
-    status = pg.LabelItem(justify="left")
-    win.addItem(status, row=3, col=0, colspan=2)
-    pipeline_status = pg.LabelItem(justify="left")
-    win.addItem(pipeline_status, row=4, col=0, colspan=2)
-    ref_status = pg.LabelItem(justify="left")
-    win.addItem(ref_status, row=5, col=0, colspan=2)
-
-    def _refresh_pipeline_label():
-        txt = state.format_pipeline_status()
-        txt = f"{txt} | cplx:{ring.fft_complex_mode}"
-        trace = state.format_stage_trace()
-        if trace:
-            txt = f"{txt} | trace: {trace}"
-        pipeline_status.setText(txt)
-        ref_status.setText(state.format_reference_status())
-
-    def _apply_ifft_complex_mode(mode: str):
-        try:
-            changed = ring.set_fft_complex_mode(mode)
-        except Exception:
-            changed = False
-        if changed:
-            try:
-                curve_fft.setData([], [])
-            except Exception:
-                pass
-        _refresh_pipeline_label()
-
-    ifft_mode_arccos_rb.toggled.connect(
-        lambda checked: _apply_ifft_complex_mode("arccos") if checked else None
-    )
-    ifft_mode_diff_rb.toggled.connect(
-        lambda checked: _apply_ifft_complex_mode("diff") if checked else None
-    )
-
-    _refresh_calib_controls()
-    _refresh_bg_controls()
-    _refresh_pipeline_label()
-
-    _imshow_initialized = [False]
-
-    FREQ_MIN = float(FREQ_MIN_GHZ)
-    FREQ_MAX = float(FREQ_MAX_GHZ)
-
-    def _fft_depth_max() -> float:
-        axis = ring.fft_depth_axis_m
-        if axis is None or axis.size == 0:
-            return 1.0
-        try:
-            vmax = float(axis[-1])
-        except Exception:
-            vmax = float(np.nanmax(axis))
-        if not np.isfinite(vmax) or vmax <= 0.0:
-            return 1.0
-        return vmax
-
-    def _init_imshow_extents():
-        ms = ring.max_sweeps
-        img.setImage(ring.ring.T, autoLevels=False)
-        img.setRect(pg.QtCore.QRectF(0.0, FREQ_MIN, float(ms), FREQ_MAX - FREQ_MIN))
-        p_img.setRange(xRange=(0, ms - 1), yRange=(FREQ_MIN, FREQ_MAX), padding=0)
-        p_line.setXRange(FREQ_MIN, FREQ_MAX, padding=0)
-        disp_fft = ring.get_display_ring_fft()
-        img_fft.setImage(disp_fft, autoLevels=False)
-        depth_max = _fft_depth_max()
-        img_fft.setRect(pg.QtCore.QRectF(0.0, 0.0, float(ms), depth_max))
-        p_spec.setRange(xRange=(0, ms - 1), yRange=(0.0, depth_max), padding=0)
-        p_fft.setXRange(0.0, depth_max, padding=0)
-
-    def _img_rect(ms: int) -> "pg.QtCore.QRectF":
-        return pg.QtCore.QRectF(0.0, FREQ_MIN, float(ms), FREQ_MAX - FREQ_MIN)
-
-    def update():
-        changed = state.drain_queue(q, ring) > 0
-
-        if changed and not _imshow_initialized[0] and ring.is_ready:
-            _init_imshow_extents()
-            _imshow_initialized[0] = True
-        if changed:
-            _refresh_calib_controls()
-            _refresh_bg_controls()
-            _refresh_pipeline_label()
-
-        # Линейный график свипа
-        if state.current_sweep_raw is not None and ring.x_shared is not None:
-            raw = state.current_sweep_raw
-            xs = ring.x_shared[: raw.size] if raw.size <= ring.x_shared.size else np.arange(raw.size)
-            line_mode = _line_mode()
-            main = state.current_sweep_processed if line_mode == "processed" else raw
-            if main is not None:
-                curve.setData(xs[: main.size], main, autoDownsample=True)
-            else:
-                curve.setData([], [])
-            if line_mode == "raw":
-                if state.calib_mode == "file" and state.calib_file_envelope is not None:
-                    upper = np.asarray(state.calib_file_envelope, dtype=np.float32)
-                    n_env = min(xs.size, upper.size)
-                    if n_env > 0:
-                        x_env = xs[:n_env]
-                        y_env = upper[:n_env]
-                        curve_env_lo.setData(x_env, -y_env, autoDownsample=True)
-                        curve_env_hi.setData(x_env, y_env, autoDownsample=True)
-                    else:
-                        curve_env_lo.setData([], [])
-                        curve_env_hi.setData([], [])
-                elif state.last_calib_sweep is not None:
-                    calib = np.asarray(state.last_calib_sweep, dtype=np.float32)
-                    lower, upper = build_calib_envelopes(calib)
-                    n_env = min(xs.size, upper.size, lower.size)
-                    if n_env > 0:
-                        curve_env_lo.setData(xs[:n_env], lower[:n_env], autoDownsample=True)
-                        curve_env_hi.setData(xs[:n_env], upper[:n_env], autoDownsample=True)
-                    else:
-                        curve_env_lo.setData([], [])
-                        curve_env_hi.setData([], [])
-                else:
-                    curve_env_lo.setData([], [])
-                    curve_env_hi.setData([], [])
-            else:
-                curve_env_lo.setData([], [])
-                curve_env_hi.setData([], [])
-            if logscale_enabled:
-                if state.current_sweep_pre_exp is not None:
-                    pre = state.current_sweep_pre_exp
-                    curve_pre_exp.setData(xs[: pre.size], pre, autoDownsample=True)
-                else:
-                    curve_pre_exp.setData([], [])
-
-                post = state.current_sweep_post_exp if state.current_sweep_post_exp is not None else raw
-                curve_post_exp.setData(xs[: post.size], post, autoDownsample=True)
-
-                if line_mode == "processed":
-                    if state.current_sweep_processed is not None:
-                        proc = state.current_sweep_processed
-                        curve.setData(xs[: proc.size], proc, autoDownsample=True)
-                    else:
-                        curve.setData([], [])
-                else:
-                    curve.setData(xs[: raw.size], raw, autoDownsample=True)
-                curve_norm.setData([], [])
-            else:
-                curve_pre_exp.setData([], [])
-                curve_post_exp.setData([], [])
-                if line_mode == "raw" and state.current_sweep_norm is not None:
-                    curve_norm.setData(
-                        xs[: state.current_sweep_norm.size],
-                        state.current_sweep_norm,
-                        autoDownsample=True,
-                    )
-                else:
-                    curve_norm.setData([], [])
-            if fixed_ylim is not None:
-                p_line.setYRange(fixed_ylim[0], fixed_ylim[1], padding=0)
-            else:
-                p_line.enableAutoRange(axis="y", enable=True)
-            p_line.setLabel("left", "Y")
-
-            # Профиль по глубине — используем уже вычисленный в ring IFFT.
-            if ring.last_fft_vals is not None and ring.fft_depth_axis_m is not None:
-                fft_vals = ring.last_fft_vals
-                xs_fft = ring.fft_depth_axis_m
-                n = min(fft_vals.size, xs_fft.size)
-                if n > 0:
-                    curve_fft.setData(xs_fft[:n], fft_vals[:n])
-                    p_fft.setXRange(0.0, float(xs_fft[n - 1]), padding=0)
-                    p_fft.setYRange(float(np.nanmin(fft_vals)), float(np.nanmax(fft_vals)), padding=0)
-
-            # Позиция подписи канала
-            try:
-                (x0, x1), (y0, y1) = p_line.viewRange()
-                dx = 0.01 * max(1.0, float(x1 - x0))
-                dy = 0.01 * max(1.0, float(y1 - y0))
-                ch_text.setPos(float(x1 - dx), float(y1 - dy))
-            except Exception:
-                pass
-
-        # Водопад сырых данных — новые данные справа (без реверса)
-        if changed and ring.is_ready:
-            disp = ring.get_display_ring()  # (width, time), новые справа
-            levels = _visible_levels(disp, p_img, FREQ_MIN, FREQ_MAX)
-            if levels is not None:
-                img.setImage(disp, autoLevels=False, levels=levels)
-            else:
-                img.setImage(disp, autoLevels=False)
-            img.setRect(_img_rect(ring.max_sweeps))
-
-        # Статус и подпись канала
-        if changed and state.current_info:
-            try:
-                status.setText(format_status(state.current_info))
-            except Exception:
-                pass
-            ch_text.setText(state.format_channel_label())
-        elif changed:
-            _refresh_pipeline_label()
-
-        # Водопад спектров — новые данные справа (без реверса)
-        if changed and ring.is_ready:
-            disp_fft = ring.get_display_ring_fft()  # (bins, time), новые справа
-            disp_fft = ring.subtract_recent_mean_fft(disp_fft, spec_mean_sec)
-            levels = ring.compute_fft_levels(disp_fft, spec_clip)
-            if levels is not None:
-                img_fft.setImage(disp_fft, autoLevels=False, levels=levels)
-            else:
-                img_fft.setImage(disp_fft, autoLevels=False)
-            img_fft.setRect(pg.QtCore.QRectF(0.0, 0.0, float(ring.max_sweeps), _fft_depth_max()))
-
-    timer = pg.QtCore.QTimer()
-    timer.timeout.connect(update)
-    timer.start(interval_ms)
-
-    def on_quit():
-        stop_event.set()
-        reader.join(timeout=1.0)
-
-    app.aboutToQuit.connect(on_quit)
-    win.show()
-    exec_fn = getattr(app, "exec_", None) or getattr(app, "exec", None)
-    exec_fn()
-    on_quit()

rfg_adc_plotter/io/capture_reference_loader.py

@@ -1,227 +0,0 @@
-"""Загрузка эталонов (калибровка/фон) из .npy или бинарных capture-файлов."""
-
-from __future__ import annotations
-
-from collections import Counter
-from dataclasses import dataclass
-import os
-from typing import Iterable, List, Optional, Tuple
-
-import numpy as np
-
-from rfg_adc_plotter.io.sweep_parser_core import BinaryRecordStreamParser, SweepAssembler
-from rfg_adc_plotter.types import SweepPacket
-
-
-@dataclass(frozen=True)
-class CaptureParseSummary:
-    path: str
-    format: str  # "npy" | "bin_capture"
-    sweeps_total: int
-    sweeps_valid: int
-    channels_seen: Tuple[int, ...]
-    dominant_width: Optional[int]
-    dominant_n_valid: Optional[int]
-    aggregation: str
-    warnings: Tuple[str, ...]
-
-
-@dataclass(frozen=True)
-class ReferenceLoadResult:
-    vector: np.ndarray
-    summary: CaptureParseSummary
-    kind: str  # "calibration_envelope" | "background_raw" | "background_processed"
-    source_type: str  # "npy" | "capture"
-
-
-def detect_reference_file_format(path: str) -> Optional[str]:
-    """Определить формат файла эталона: .npy или бинарный capture."""
-    p = str(path).strip()
-    if not p or not os.path.isfile(p):
-        return None
-    if p.lower().endswith(".npy"):
-        return "npy"
-
-    try:
-        size = os.path.getsize(p)
-    except Exception:
-        return None
-    if size <= 0 or (size % 8) != 0:
-        return None
-
-    try:
-        with open(p, "rb") as f:
-            sample = f.read(min(size, 8 * 2048))
-    except Exception:
-        return None
-
-    if len(sample) < 8:
-        return None
-
-    # Быстрый sniff aligned-записей: в валидных записях байт 6 == 0x0A.
-    recs = len(sample) // 8
-    if recs <= 0:
-        return None
-    marker_hits = 0
-    start_hits = 0
-    for i in range(0, recs * 8, 8):
-        b = sample[i : i + 8]
-        if b[6] == 0x0A:
-            marker_hits += 1
-            if b[:6] == b"\xff\xff\xff\xff\xff\xff":
-                start_hits += 1
-    if marker_hits >= max(4, int(recs * 0.8)) and start_hits >= 1:
-        return "bin_capture"
-    return None
-
-
-def load_capture_sweeps(path: str, *, fancy: bool = False, logscale: bool = False) -> List[SweepPacket]:
-    """Загрузить свипы из бинарного capture-файла в формате --bin."""
-    parser = BinaryRecordStreamParser()
-    assembler = SweepAssembler(fancy=fancy, logscale=logscale, debug=False)
-    sweeps: List[SweepPacket] = []
-
-    with open(path, "rb") as f:
-        while True:
-            chunk = f.read(65536)
-            if not chunk:
-                break
-            events = parser.feed(chunk)
-            for ev in events:
-                packets = assembler.consume_binary_event(ev)
-                if packets:
-                    sweeps.extend(packets)
-    tail = assembler.finalize_current()
-    if tail is not None:
-        sweeps.append(tail)
-
-    return sweeps
-
-
-def _mode_int(values: Iterable[int]) -> Optional[int]:
-    vals = [int(v) for v in values]
-    if not vals:
-        return None
-    ctr = Counter(vals)
-    return int(max(ctr.items(), key=lambda kv: (kv[1], kv[0]))[0])
-
-
-def aggregate_capture_reference(
-    sweeps: List[SweepPacket],
-    *,
-    channel: int = 0,
-    method: str = "median",
-    path: str = "",
-) -> Tuple[np.ndarray, CaptureParseSummary]:
-    """Отфильтровать и агрегировать свипы из capture в один эталонный вектор."""
-    ch_target = int(channel)
-    meth = str(method).strip().lower() or "median"
-    warnings: list[str] = []
-
-    if meth != "median":
-        warnings.append(f"aggregation '{meth}' не поддерживается, использую median")
-        meth = "median"
-
-    channels_seen: set[int] = set()
-    candidate_rows: list[np.ndarray] = []
-    widths: list[int] = []
-    n_valids: list[int] = []
-
-    for sweep, info in sweeps:
-        chs = info.get("chs") if isinstance(info, dict) else None
-        ch_set: set[int] = set()
-        if isinstance(chs, (list, tuple, set)):
-            for v in chs:
-                try:
-                    ch_set.add(int(v))
-                except Exception:
-                    pass
-        else:
-            try:
-                ch_set.add(int(info.get("ch", 0)))  # type: ignore[union-attr]
-            except Exception:
-                pass
-        channels_seen.update(ch_set)
-        if ch_target not in ch_set:
-            continue
-
-        row = np.asarray(sweep, dtype=np.float32).reshape(-1)
-        candidate_rows.append(row)
-        widths.append(int(row.size))
-        n_valids.append(int(np.count_nonzero(np.isfinite(row))))
-
-    sweeps_total = len(sweeps)
-    if not candidate_rows:
-        summary = CaptureParseSummary(
-            path=path,
-            format="bin_capture",
-            sweeps_total=sweeps_total,
-            sweeps_valid=0,
-            channels_seen=tuple(sorted(channels_seen)),
-            dominant_width=None,
-            dominant_n_valid=None,
-            aggregation=meth,
-            warnings=tuple(warnings + [f"канал ch{ch_target} не найден"]),
-        )
-        raise ValueError(summary.warnings[-1])
-
-    dominant_width = _mode_int(widths)
-    dominant_n_valid = _mode_int(n_valids)
-    if dominant_width is None or dominant_n_valid is None:
-        summary = CaptureParseSummary(
-            path=path,
-            format="bin_capture",
-            sweeps_total=sweeps_total,
-            sweeps_valid=0,
-            channels_seen=tuple(sorted(channels_seen)),
-            dominant_width=dominant_width,
-            dominant_n_valid=dominant_n_valid,
-            aggregation=meth,
-            warnings=tuple(warnings + ["не удалось определить доминирующие параметры свипа"]),
-        )
-        raise ValueError(summary.warnings[-1])
-
-    valid_rows: list[np.ndarray] = []
-    n_valid_threshold = max(1, int(np.floor(0.95 * dominant_n_valid)))
-    for row in candidate_rows:
-        if row.size != dominant_width:
-            continue
-        n_valid = int(np.count_nonzero(np.isfinite(row)))
-        if n_valid < n_valid_threshold:
-            continue
-        valid_rows.append(row)
-
-    if not valid_rows:
-        warnings.append("после фильтрации не осталось валидных свипов")
-        summary = CaptureParseSummary(
-            path=path,
-            format="bin_capture",
-            sweeps_total=sweeps_total,
-            sweeps_valid=0,
-            channels_seen=tuple(sorted(channels_seen)),
-            dominant_width=dominant_width,
-            dominant_n_valid=dominant_n_valid,
-            aggregation=meth,
-            warnings=tuple(warnings),
-        )
-        raise ValueError(summary.warnings[-1])
-
-    # Детерминированная агрегация: медиана по валидным свипам.
-    stack = np.stack(valid_rows, axis=0).astype(np.float32, copy=False)
-    vector = np.nanmedian(stack, axis=0).astype(np.float32, copy=False)
-
-    if len(valid_rows) < len(candidate_rows):
-        warnings.append(f"отфильтровано {len(candidate_rows) - len(valid_rows)} неполных/нестандартных свипов")
-
-    summary = CaptureParseSummary(
-        path=path,
-        format="bin_capture",
-        sweeps_total=sweeps_total,
-        sweeps_valid=len(valid_rows),
-        channels_seen=tuple(sorted(channels_seen)),
-        dominant_width=dominant_width,
-        dominant_n_valid=dominant_n_valid,
-        aggregation=meth,
-        warnings=tuple(warnings),
-    )
-    return vector, summary

rfg_adc_plotter/io/serial_source.py

@@ -1,181 +0,0 @@
-"""Источники последовательного ввода: обёртки над pyserial и raw TTY."""
-
-import io
-import os
-import sys
-from typing import Optional
-
-
-def try_open_pyserial(path: str, baud: int, timeout: float):
-    try:
-        import serial  # type: ignore
-    except Exception:
-        return None
-    try:
-        ser = serial.Serial(path, baudrate=baud, timeout=timeout)
-        return ser
-    except Exception:
-        return None
-
-
-class FDReader:
-    """Простой враппер чтения строк из файлового дескриптора TTY."""
-
-    def __init__(self, fd: int):
-        self._fd = fd
-        raw = os.fdopen(fd, "rb", closefd=False)
-        self._file = raw
-        self._buf = io.BufferedReader(raw, buffer_size=65536)
-
-    def fileno(self) -> int:
-        return self._fd
-
-    def readline(self) -> bytes:
-        return self._buf.readline()
-
-    def close(self):
-        try:
-            self._buf.close()
-        except Exception:
-            pass
-
-
-def open_raw_tty(path: str, baud: int) -> Optional[FDReader]:
-    """Открыть TTY без pyserial и настроить порт через termios.
-
-    Возвращает FDReader или None при ошибке.
-    """
-    try:
-        import termios
-        import tty
-    except Exception:
-        return None
-
-    try:
-        fd = os.open(path, os.O_RDONLY | os.O_NOCTTY)
-    except Exception:
-        return None
-
-    try:
-        attrs = termios.tcgetattr(fd)
-        tty.setraw(fd)
-
-        baud_map = {
-            9600: termios.B9600,
-            19200: termios.B19200,
-            38400: termios.B38400,
-            57600: termios.B57600,
-            115200: termios.B115200,
-            230400: getattr(termios, "B230400", None),
-            460800: getattr(termios, "B460800", None),
-        }
-        b = baud_map.get(baud) or termios.B115200
-
-        attrs[4] = b  # ispeed
-        attrs[5] = b  # ospeed
-
-        # VMIN=1, VTIME=0 — блокирующее чтение по байту
-        cc = attrs[6]
-        cc[termios.VMIN] = 1
-        cc[termios.VTIME] = 0
-        attrs[6] = cc
-
-        termios.tcsetattr(fd, termios.TCSANOW, attrs)
-    except Exception:
-        try:
-            os.close(fd)
-        except Exception:
-            pass
-        return None
-
-    return FDReader(fd)
-
-
-class SerialLineSource:
-    """Единый интерфейс для чтения строк из порта (pyserial или raw TTY)."""
-
-    def __init__(self, path: str, baud: int, timeout: float = 1.0):
-        self._pyserial = try_open_pyserial(path, baud, timeout)
-        self._fdreader = None
-        self._using = "pyserial" if self._pyserial is not None else "raw"
-        if self._pyserial is None:
-            self._fdreader = open_raw_tty(path, baud)
-            if self._fdreader is None:
-                msg = f"Не удалось открыть порт '{path}' (pyserial и raw TTY не сработали)"
-                if sys.platform.startswith("win"):
-                    msg += ". На Windows нужен pyserial: pip install pyserial"
-                raise RuntimeError(msg)
-
-    def readline(self) -> bytes:
-        if self._pyserial is not None:
-            try:
-                return self._pyserial.readline()
-            except Exception:
-                return b""
-        else:
-            try:
-                return self._fdreader.readline()  # type: ignore[union-attr]
-            except Exception:
-                return b""
-
-    def close(self):
-        try:
-            if self._pyserial is not None:
-                self._pyserial.close()
-            elif self._fdreader is not None:
-                self._fdreader.close()
-        except Exception:
-            pass
-
-
-class SerialChunkReader:
-    """Быстрое неблокирующее чтение чанков из serial/raw TTY для максимального дренажа буфера."""
-
-    def __init__(self, src: SerialLineSource):
-        self._src = src
-        self._ser = src._pyserial
-        self._fd: Optional[int] = None
-        if self._ser is not None:
-            try:
-                self._ser.timeout = 0
-            except Exception:
-                pass
-        else:
-            try:
-                self._fd = src._fdreader.fileno()  # type: ignore[union-attr]
-                try:
-                    os.set_blocking(self._fd, False)
-                except Exception:
-                    pass
-            except Exception:
-                self._fd = None
-
-    def read_available(self) -> bytes:
-        """Вернёт доступные байты (b"" если данных нет)."""
-        if self._ser is not None:
-            try:
-                n = int(getattr(self._ser, "in_waiting", 0))
-            except Exception:
-                n = 0
-            if n > 0:
-                try:
-                    return self._ser.read(n)
-                except Exception:
-                    return b""
-            return b""
-        if self._fd is None:
-            return b""
-        out = bytearray()
-        while True:
-            try:
-                chunk = os.read(self._fd, 65536)
-                if not chunk:
-                    break
-                out += chunk
-                if len(chunk) < 65536:
-                    break
-            except BlockingIOError:
-                break
-            except Exception:
-                break
-        return bytes(out)

rfg_adc_plotter/io/sweep_parser_core.py

@@ -1,247 +0,0 @@
-"""Переиспользуемые компоненты парсинга бинарных свипов и сборки SweepPacket."""
-
-from __future__ import annotations
-
-from collections import deque
-import time
-from typing import Iterable, List, Optional, Sequence, Set, Tuple
-
-import numpy as np
-
-from rfg_adc_plotter.constants import DATA_INVERSION_THRESHOLD, LOG_EXP
-from rfg_adc_plotter.types import SweepInfo, SweepPacket
-
-# Binary parser events:
-#   ("start", ch)
-#   ("point", ch, x, y)
-BinaryEvent = Tuple[str, int] | Tuple[str, int, int, int]
-
-
-def u32_to_i32(v: int) -> int:
-    """Преобразование 32-bit слова в знаковое значение."""
-    return v - 0x1_0000_0000 if (v & 0x8000_0000) else v
-
-
-class BinaryRecordStreamParser:
-    """Инкрементальный парсер бинарных записей протокола (по 8 байт)."""
-
-    def __init__(self):
-        self._buf = bytearray()
-        self.bytes_consumed: int = 0
-        self.start_count: int = 0
-        self.point_count: int = 0
-        self.desync_count: int = 0
-
-    def feed(self, data: bytes) -> List[BinaryEvent]:
-        if data:
-            self._buf += data
-        events: List[BinaryEvent] = []
-        buf = self._buf
-
-        while len(buf) >= 8:
-            w0 = int(buf[0]) | (int(buf[1]) << 8)
-            w1 = int(buf[2]) | (int(buf[3]) << 8)
-            w2 = int(buf[4]) | (int(buf[5]) << 8)
-
-            if w0 == 0xFFFF and w1 == 0xFFFF and w2 == 0xFFFF and buf[6] == 0x0A:
-                ch = int(buf[7])
-                events.append(("start", ch))
-                del buf[:8]
-                self.bytes_consumed += 8
-                self.start_count += 1
-                continue
-
-            if buf[6] == 0x0A:
-                ch = int(buf[7])
-                value_u32 = (w1 << 16) | w2
-                events.append(("point", ch, int(w0), u32_to_i32(value_u32)))
-                del buf[:8]
-                self.bytes_consumed += 8
-                self.point_count += 1
-                continue
-
-            del buf[:1]
-            self.bytes_consumed += 1
-            self.desync_count += 1
-
-        return events
-
-    def buffered_size(self) -> int:
-        return len(self._buf)
-
-    def clear_buffer_keep_tail(self, max_tail: int = 262_144):
-        if len(self._buf) > max_tail:
-            del self._buf[:-max_tail]
-
-
-class SweepAssembler:
-    """Собирает точки в свип и применяет ту же постобработку, что realtime parser."""
-
-    def __init__(self, fancy: bool = False, logscale: bool = False, debug: bool = False):
-        self._fancy = bool(fancy)
-        self._logscale = bool(logscale)
-        self._debug = bool(debug)
-
-        self._max_width: int = 0
-        self._sweep_idx: int = 0
-        self._last_sweep_ts: Optional[float] = None
-        self._n_valid_hist = deque()
-
-        self._xs: list[int] = []
-        self._ys: list[int] = []
-        self._cur_channel: Optional[int] = None
-        self._cur_channels: set[int] = set()
-
-    def reset_current(self):
-        self._xs.clear()
-        self._ys.clear()
-        self._cur_channel = None
-        self._cur_channels.clear()
-
-    def add_point(self, ch: int, x: int, y: int):
-        if self._cur_channel is None:
-            self._cur_channel = int(ch)
-        self._cur_channels.add(int(ch))
-        self._xs.append(int(x))
-        self._ys.append(int(y))
-
-    def start_new_sweep(self, ch: int, now_ts: Optional[float] = None) -> Optional[SweepPacket]:
-        packet = self.finalize_current(now_ts=now_ts)
-        self.reset_current()
-        self._cur_channel = int(ch)
-        self._cur_channels.add(int(ch))
-        return packet
-
-    def consume_binary_event(self, event: BinaryEvent, now_ts: Optional[float] = None) -> List[SweepPacket]:
-        out: List[SweepPacket] = []
-        tag = event[0]
-        if tag == "start":
-            packet = self.start_new_sweep(int(event[1]), now_ts=now_ts)
-            if packet is not None:
-                out.append(packet)
-            return out
-        # point
-        _tag, ch, x, y = event  # type: ignore[misc]
-        self.add_point(int(ch), int(x), int(y))
-        return out
-
-    def finalize_arrays(
-        self,
-        xs: Sequence[int],
-        ys: Sequence[int],
-        channels: Optional[Set[int]],
-        now_ts: Optional[float] = None,
-    ) -> Optional[SweepPacket]:
-        if self._debug:
-            if not xs:
-                import sys
-                sys.stderr.write("[debug] _finalize_current: xs пуст — свип пропущен\n")
-            else:
-                import sys
-                sys.stderr.write(
-                    f"[debug] _finalize_current: {len(xs)} точек → свип #{self._sweep_idx + 1}\n"
-                )
-        if not xs:
-            return None
-
-        ch_list = sorted(channels) if channels else [0]
-        ch_primary = ch_list[0] if ch_list else 0
-        max_x = max(int(v) for v in xs)
-        width = max_x + 1
-        self._max_width = max(self._max_width, width)
-        target_width = self._max_width if self._fancy else width
-
-        sweep = np.full((target_width,), np.nan, dtype=np.float32)
-        try:
-            idx = np.asarray(xs, dtype=np.int64)
-            vals = np.asarray(ys, dtype=np.float32)
-            sweep[idx] = vals
-        except Exception:
-            for x, y in zip(xs, ys):
-                xi = int(x)
-                if 0 <= xi < target_width:
-                    sweep[xi] = float(y)
-
-        n_valid_cur = int(np.count_nonzero(np.isfinite(sweep)))
-
-        if self._fancy:
-            try:
-                known = ~np.isnan(sweep)
-                if np.any(known):
-                    known_idx = np.nonzero(known)[0]
-                    for i0, i1 in zip(known_idx[:-1], known_idx[1:]):
-                        if i1 - i0 > 1:
-                            avg = (sweep[i0] + sweep[i1]) * 0.5
-                            sweep[i0 + 1 : i1] = avg
-                    first_idx = int(known_idx[0])
-                    last_idx = int(known_idx[-1])
-                    if first_idx > 0:
-                        sweep[:first_idx] = sweep[first_idx]
-                    if last_idx < sweep.size - 1:
-                        sweep[last_idx + 1 :] = sweep[last_idx]
-            except Exception:
-                pass
-
-        try:
-            m = float(np.nanmean(sweep))
-            if np.isfinite(m) and m < DATA_INVERSION_THRESHOLD:
-                sweep *= -1.0
-        except Exception:
-            pass
-
-        pre_exp_sweep = None
-        if self._logscale:
-            try:
-                pre_exp_sweep = sweep.copy()
-                with np.errstate(over="ignore", invalid="ignore"):
-                    sweep = np.power(LOG_EXP, np.asarray(sweep, dtype=np.float64)).astype(np.float32)
-                sweep[~np.isfinite(sweep)] = np.nan
-            except Exception:
-                pass
-
-        self._sweep_idx += 1
-        if len(ch_list) > 1:
-            import sys
-            sys.stderr.write(f"[warn] Sweep {self._sweep_idx}: изменялся номер канала: {ch_list}\n")
-
-        now = float(time.time() if now_ts is None else now_ts)
-        if self._last_sweep_ts is None:
-            dt_ms = float("nan")
-        else:
-            dt_ms = (now - self._last_sweep_ts) * 1000.0
-        self._last_sweep_ts = now
-
-        self._n_valid_hist.append((now, n_valid_cur))
-        while self._n_valid_hist and (now - self._n_valid_hist[0][0]) > 1.0:
-            self._n_valid_hist.popleft()
-        if self._n_valid_hist:
-            n_valid = float(sum(v for _t, v in self._n_valid_hist) / len(self._n_valid_hist))
-        else:
-            n_valid = float(n_valid_cur)
-
-        if n_valid_cur > 0:
-            vmin = float(np.nanmin(sweep))
-            vmax = float(np.nanmax(sweep))
-            mean = float(np.nanmean(sweep))
-            std = float(np.nanstd(sweep))
-        else:
-            vmin = vmax = mean = std = float("nan")
-
-        info: SweepInfo = {
-            "sweep": self._sweep_idx,
-            "ch": ch_primary,
-            "chs": ch_list,
-            "n_valid": n_valid,
-            "min": vmin,
-            "max": vmax,
-            "mean": mean,
-            "std": std,
-            "dt_ms": dt_ms,
-        }
-        if pre_exp_sweep is not None:
-            info["pre_exp_sweep"] = pre_exp_sweep
-
-        return (sweep, info)
-
-    def finalize_current(self, now_ts: Optional[float] = None) -> Optional[SweepPacket]:
-        return self.finalize_arrays(self._xs, self._ys, self._cur_channels, now_ts=now_ts)

rfg_adc_plotter/io/sweep_reader.py

@@ -1,245 +0,0 @@
-"""Фоновый поток чтения и парсинга свипов из последовательного порта."""
-
-import sys
-import threading
-import time
-from queue import Full, Queue
-from typing import Optional
-
-from rfg_adc_plotter.io.sweep_parser_core import BinaryRecordStreamParser, SweepAssembler
-from rfg_adc_plotter.io.serial_source import SerialChunkReader, SerialLineSource
-from rfg_adc_plotter.types import SweepPacket
-
-
-class SweepReader(threading.Thread):
-    """Фоновый поток: читает строки, формирует завершённые свипы и кладёт в очередь."""
-
-    def __init__(
-        self,
-        port_path: str,
-        baud: int,
-        out_queue: "Queue[SweepPacket]",
-        stop_event: threading.Event,
-        fancy: bool = False,
-        bin_mode: bool = False,
-        logscale: bool = False,
-        debug: bool = False,
-    ):
-        super().__init__(daemon=True)
-        self._port_path = port_path
-        self._baud = baud
-        self._q = out_queue
-        self._stop = stop_event
-        self._src: Optional[SerialLineSource] = None
-        self._fancy = bool(fancy)
-        self._bin_mode = bool(bin_mode)
-        self._logscale = bool(logscale)
-        self._debug = bool(debug)
-        self._assembler = SweepAssembler(fancy=self._fancy, logscale=self._logscale, debug=self._debug)
-
-    def _finalize_current(self, xs, ys, channels: Optional[set]):
-        packet = self._assembler.finalize_arrays(xs, ys, channels)
-        if packet is None:
-            return
-        sweep, info = packet
-        try:
-            self._q.put_nowait((sweep, info))
-        except Full:
-            try:
-                _ = self._q.get_nowait()
-            except Exception:
-                pass
-            try:
-                self._q.put_nowait((sweep, info))
-            except Exception:
-                pass
-
-    def _run_ascii_stream(self, chunk_reader: SerialChunkReader):
-        xs: list[int] = []
-        ys: list[int] = []
-        cur_channel: Optional[int] = None
-        cur_channels: set[int] = set()
-
-        buf = bytearray()
-        _dbg_line_count = 0
-        _dbg_match_count = 0
-        _dbg_sweep_count = 0
-        while not self._stop.is_set():
-            data = chunk_reader.read_available()
-            if data:
-                buf += data
-            else:
-                time.sleep(0.0005)
-                continue
-
-            while True:
-                nl = buf.find(b"\n")
-                if nl == -1:
-                    break
-                line = bytes(buf[:nl])
-                del buf[: nl + 1]
-                if line.endswith(b"\r"):
-                    line = line[:-1]
-                if not line:
-                    continue
-
-                _dbg_line_count += 1
-
-                if line.startswith(b"Sweep_start"):
-                    if self._debug:
-                        sys.stderr.write(f"[debug] ASCII строка #{_dbg_line_count}: Sweep_start → финализация свипа\n")
-                        _dbg_sweep_count += 1
-                    self._finalize_current(xs, ys, cur_channels)
-                    xs.clear()
-                    ys.clear()
-                    cur_channel = None
-                    cur_channels.clear()
-                    continue
-
-                if len(line) >= 3:
-                    parts = line.split()
-                    if len(parts) >= 3 and (parts[0].lower() == b"s" or parts[0].lower().startswith(b"s")):
-                        try:
-                            if parts[0].lower() == b"s":
-                                if len(parts) >= 4:
-                                    ch = int(parts[1], 10)
-                                    x = int(parts[2], 10)
-                                    y = int(parts[3], 10)
-                                else:
-                                    ch = 0
-                                    x = int(parts[1], 10)
-                                    y = int(parts[2], 10)
-                            else:
-                                ch = int(parts[0][1:], 10)
-                                x = int(parts[1], 10)
-                                y = int(parts[2], 10)
-                        except Exception:
-                            if self._debug and _dbg_line_count <= 5:
-                                hex_repr = " ".join(f"{b:02x}" for b in line[:16])
-                                sys.stderr.write(
-                                    f"[debug] ASCII строка #{_dbg_line_count} ({len(line)} байт): {hex_repr}"
-                                    f"{'...' if len(line) > 16 else ''}  → похожа на 's', но не парсится\n"
-                                )
-                            continue
-                        _dbg_match_count += 1
-                        if self._debug and _dbg_match_count <= 3:
-                            sys.stderr.write(f"[debug] ASCII точка: ch={ch} x={x} y={y}\n")
-                        if cur_channel is None:
-                            cur_channel = ch
-                        cur_channels.add(ch)
-                        xs.append(x)
-                        ys.append(y)
-                        continue
-
-                if self._debug and _dbg_line_count <= 5:
-                    hex_repr = " ".join(f"{b:02x}" for b in line[:16])
-                    sys.stderr.write(
-                        f"[debug] ASCII строка #{_dbg_line_count} ({len(line)} байт): {hex_repr}"
-                        f"{'...' if len(line) > 16 else ''}  → нет совпадения\n"
-                    )
-
-                if self._debug and _dbg_line_count % 100 == 0:
-                    sys.stderr.write(
-                        f"[debug] ASCII статистика: строк={_dbg_line_count}, "
-                        f"совпадений={_dbg_match_count}, свипов={_dbg_sweep_count}\n"
-                    )
-
-            if len(buf) > 1_000_000:
-                del buf[:-262144]
-
-        self._finalize_current(xs, ys, cur_channels)
-
-    def _run_binary_stream(self, chunk_reader: SerialChunkReader):
-        xs: list[int] = []
-        ys: list[int] = []
-        cur_channel: Optional[int] = None
-        cur_channels: set[int] = set()
-        parser = BinaryRecordStreamParser()
-
-        # Бинарный протокол (4 слова LE u16 = 8 байт на запись):
-        #   старт свипа: 0xFFFF, 0xFFFF, 0xFFFF, (ch<<8)|0x0A
-        #     Байты на проводе: ff ff  ff ff  ff ff  0a [ch]
-        #     ch=0 → последнее слово=0x000A; ch=1 → 0x010A; и т.д.
-        #   точка данных: step_u16, value_hi_u16, value_lo_u16, (ch<<8)|0x0A
-        #     Байты на проводе: [step_lo step_hi] [hi_lo hi_hi] [lo_lo lo_hi] 0a [ch]
-        #     value_i32 = sign_extend((value_hi<<16)|value_lo)
-        #   Признак записи: байт 6 == 0x0A, байт 7 — номер канала.
-        #   При десинхронизации сдвигаемся на 1 БАЙТ (не слово) для самосинхронизации.
-
-        _dbg_byte_count = 0
-        _dbg_desync_count = 0
-        _dbg_sweep_count = 0
-        _dbg_point_count = 0
-        while not self._stop.is_set():
-            data = chunk_reader.read_available()
-            if data:
-                events = parser.feed(data)
-            else:
-                time.sleep(0.0005)
-                continue
-
-            for ev in events:
-                tag = ev[0]
-                if tag == "start":
-                    ch_new = int(ev[1])
-                    if self._debug:
-                        sys.stderr.write(f"[debug] BIN: старт свипа, ch={ch_new}\n")
-                        _dbg_sweep_count += 1
-                    self._finalize_current(xs, ys, cur_channels)
-                    xs.clear()
-                    ys.clear()
-                    cur_channels.clear()
-                    cur_channel = ch_new
-                    cur_channels.add(cur_channel)
-                    continue
-
-                _tag, ch_from_term, step, value_i32 = ev  # type: ignore[misc]
-                if cur_channel is None:
-                    cur_channel = int(ch_from_term)
-                cur_channels.add(int(cur_channel))
-                xs.append(int(step))
-                ys.append(int(value_i32))
-                _dbg_point_count += 1
-                if self._debug and _dbg_point_count <= 3:
-                    sys.stderr.write(
-                        f"[debug] BIN точка: step={int(step)} ch={int(ch_from_term)} → value={int(value_i32)}\n"
-                    )
-
-            _dbg_byte_count = parser.bytes_consumed
-            _dbg_desync_count = parser.desync_count
-
-            if self._debug and _dbg_byte_count > 0 and _dbg_byte_count % 4000 < 8:
-                sys.stderr.write(
-                    f"[debug] BIN статистика: байт={_dbg_byte_count}, "
-                    f"десинхронизаций={_dbg_desync_count}, точек={_dbg_point_count}, свипов={_dbg_sweep_count}\n"
-                )
-
-            if parser.buffered_size() > 1_000_000:
-                parser.clear_buffer_keep_tail(262_144)
-
-        self._finalize_current(xs, ys, cur_channels)
-
-    def run(self):
-
-        try:
-            self._src = SerialLineSource(self._port_path, self._baud, timeout=1.0)
-            sys.stderr.write(f"[info] Открыл порт {self._port_path} ({self._src._using})\n")
-        except Exception as e:
-            sys.stderr.write(f"[error] {e}\n")
-            return
-
-        try:
-            chunk_reader = SerialChunkReader(self._src)
-            if self._debug:
-                mode_str = "бинарный (--bin)" if self._bin_mode else "ASCII (по умолчанию)"
-                sys.stderr.write(f"[debug] Режим парсера: {mode_str}\n")
-            if self._bin_mode:
-                self._run_binary_stream(chunk_reader)
-            else:
-                self._run_ascii_stream(chunk_reader)
-        finally:
-            try:
-                if self._src is not None:
-                    self._src.close()
-            except Exception:
-                pass

rfg_adc_plotter/main.py

@@ -1,138 +0,0 @@
-#!/usr/bin/env python3
-"""
-Реалтайм-плоттер для свипов из виртуального COM-порта.
-
-Формат строк:
-  - "Sweep_start" — начало нового свипа (предыдущий считается завершённым)
-  - "s CH X Y" — точка (номер канала, индекс X, значение Y), все целые со знаком
-
-Отрисовываются четыре графика:
-  - Сырые данные: последний полученный свип (Y vs X)
-  - Водопад сырых данных: последние N свипов
-  - FFT текущего свипа
-  - B-scan: водопад FFT-строк
-
-Зависимости: numpy. PySerial опционален — при его отсутствии
-используется сырой доступ к TTY через termios.
-GUI: matplotlib (совместимый) или pyqtgraph (быстрый).
-"""
-
-import argparse
-import sys
-
-
-def build_parser() -> argparse.ArgumentParser:
-    parser = argparse.ArgumentParser(
-        description=(
-            "Читает свипы из виртуального COM-порта и рисует: "
-            "последний свип и водопад (реалтайм)."
-        )
-    )
-    parser.add_argument(
-        "port",
-        help="Путь к порту, например /dev/ttyACM1 или COM3 (COM10+: \\\\.\\COM10)",
-    )
-    parser.add_argument("--baud", type=int, default=115200, help="Скорость (по умолчанию 115200)")
-    parser.add_argument("--max-sweeps", type=int, default=200, help="Количество видимых свипов в водопаде")
-    parser.add_argument("--max-fps", type=float, default=30.0, help="Лимит частоты отрисовки, кадров/с")
-    parser.add_argument("--cmap", default="viridis", help="Цветовая карта водопада")
-    parser.add_argument(
-        "--spec-clip",
-        default="2,98",
-        help=(
-            "Процентильная обрезка уровней водопада спектров, %% (min,max). "
-            "Напр. 2,98. 'off' — отключить"
-        ),
-    )
-    parser.add_argument(
-        "--spec-mean-sec",
-        type=float,
-        default=0.0,
-        help=(
-            "Вычитание среднего по каждой частоте за последние N секунд "
-            "в водопаде спектров (0 — отключить)"
-        ),
-    )
-    parser.add_argument("--title", default="ADC Sweeps", help="Заголовок окна")
-    parser.add_argument(
-        "--fancy",
-        action="store_true",
-        help="Заполнять выпавшие точки средними значениями между соседними",
-    )
-    parser.add_argument(
-        "--ylim",
-        type=str,
-        default=None,
-        help="Фиксированные Y-пределы для кривой формата min,max (например -1000,1000). По умолчанию авто",
-    )
-    parser.add_argument(
-        "--backend",
-        choices=["auto", "pg", "mpl"],
-        default="auto",
-        help="Графический бэкенд: pyqtgraph (pg) — быстрее; matplotlib (mpl) — совместимый. По умолчанию auto",
-    )
-    parser.add_argument(
-        "--norm-type",
-        choices=["projector", "simple"],
-        default="projector",
-        help="Тип нормировки: projector (по огибающим в [-1000,+1000]) или simple (raw/calib)",
-    )
-    parser.add_argument(
-        "--ifft-complex-mode",
-        choices=["arccos", "diff"],
-        default="arccos",
-        help=(
-            "Режим реконструкции комплексного спектра перед IFFT: "
-            "arccos (phi=arccos(x), unwrap) или diff (sin(phi) через численную производную)"
-        ),
-    )
-    parser.add_argument(
-        "--bin",
-        dest="bin_mode",
-        action="store_true",
-        help=(
-            "Бинарный протокол (8 байт на запись, LE u16 слова): "
-            "старт свипа ff ff ff ff ff ff 0a [ch]; "
-            "точка step_u16 hi_u16 lo_u16 0a [ch]; "
-            "value=sign_ext((hi<<16)|lo); ch=0..N в старшем байте маркера"
-        ),
-    )
-    parser.add_argument(
-        "--logscale",
-        action="store_true",
-        help="После поправки знака применять экспоненту LOG_EXP**x (LOG_EXP=2)",
-    )
-    parser.add_argument(
-        "--debug",
-        action="store_true",
-        help="Отладочный вывод парсера: показывает принятые строки/слова и причины отсутствия свипов",
-    )
-    return parser
-
-
-def main():
-    args = build_parser().parse_args()
-
-    if args.backend == "pg":
-        from rfg_adc_plotter.gui.pyqtgraph_backend import run_pyqtgraph
-        try:
-            run_pyqtgraph(args)
-        except Exception as e:
-            sys.stderr.write(f"[error] PyQtGraph бэкенд недоступен: {e}\n")
-            sys.exit(1)
-        return
-
-    if args.backend == "auto":
-        try:
-            from rfg_adc_plotter.gui.pyqtgraph_backend import run_pyqtgraph
-            run_pyqtgraph(args)
-            return
-        except Exception:
-            pass  # Откатываемся на matplotlib
-
-    from rfg_adc_plotter.gui.matplotlib_backend import run_matplotlib
-    run_matplotlib(args)
-
-
-if __name__ == "__main__":
-    main()

rfg_adc_plotter/processing/fourier.py

@@ -1,297 +0,0 @@
-"""Преобразование свипа в IFFT-профиль по глубине (м).
-
-Поддерживает несколько режимов восстановления комплексного спектра перед IFFT:
-- ``arccos``: phi = arccos(x), continuous unwrap, z = exp(1j*phi)
-- ``diff``:   x ~= cos(phi), diff(x) -> sin(phi), z = cos + 1j*sin (с проекцией на единичную окружность)
-"""
-
-from __future__ import annotations
-
-import logging
-from typing import Optional
-
-import numpy as np
-
-from rfg_adc_plotter.constants import (
-    FREQ_MAX_GHZ,
-    FREQ_MIN_GHZ,
-    FREQ_SPAN_GHZ,
-    IFFT_LEN,
-    SPEED_OF_LIGHT_M_S,
-)
-
-
-logger = logging.getLogger(__name__)
-
-_EPS = 1e-12
-_TWO_PI = float(2.0 * np.pi)
-_VALID_COMPLEX_MODES = {"arccos", "diff"}
-
-
-def _fallback_depth_response(
-    size: int,
-    values: Optional[np.ndarray] = None,
-) -> tuple[np.ndarray, np.ndarray]:
-    """Безопасный fallback для GUI/ring: всегда возвращает ненулевую длину."""
-    n = max(1, int(size))
-    depth = np.linspace(0.0, 1.0, n, dtype=np.float32)
-    if values is None:
-        return depth, np.zeros((n,), dtype=np.float32)
-
-    arr = np.asarray(values)
-    if arr.size == 0:
-        return depth, np.zeros((n,), dtype=np.float32)
-
-    if np.iscomplexobj(arr):
-        src = np.abs(arr)
-    else:
-        src = np.abs(np.nan_to_num(arr, nan=0.0, posinf=0.0, neginf=0.0))
-    src = np.asarray(src, dtype=np.float32).ravel()
-
-    out = np.zeros((n,), dtype=np.float32)
-    take = min(n, src.size)
-    if take > 0:
-        out[:take] = src[:take]
-    return depth, out
-
-
-def _normalize_complex_mode(mode: str) -> str:
-    m = str(mode).strip().lower()
-    if m not in _VALID_COMPLEX_MODES:
-        raise ValueError(f"Invalid complex reconstruction mode: {mode!r}")
-    return m
-
-
-def build_ifft_time_axis_ns() -> np.ndarray:
-    """Legacy helper: старая временная ось IFFT в наносекундах (фиксированная длина)."""
-    return (
-        np.arange(IFFT_LEN, dtype=np.float64) / (FREQ_SPAN_GHZ * 1e9) * 1e9
-    ).astype(np.float32)
-
-
-def build_frequency_axis_hz(sweep_width: int) -> np.ndarray:
-    """Построить частотную сетку (Гц) для текущей длины свипа."""
-    n = int(sweep_width)
-    if n <= 0:
-        return np.zeros((0,), dtype=np.float64)
-    if n == 1:
-        return np.array([FREQ_MIN_GHZ * 1e9], dtype=np.float64)
-    return np.linspace(FREQ_MIN_GHZ * 1e9, FREQ_MAX_GHZ * 1e9, n, dtype=np.float64)
-
-
-def normalize_trace_unit_range(x: np.ndarray) -> np.ndarray:
-    """Signed-нормировка массива по max(abs(.)) в диапазон около [-1, 1]."""
-    arr = np.asarray(x, dtype=np.float64).ravel()
-    if arr.size == 0:
-        return arr
-    arr = np.nan_to_num(arr, nan=0.0, posinf=0.0, neginf=0.0)
-    amax = float(np.max(np.abs(arr)))
-    if (not np.isfinite(amax)) or amax <= _EPS:
-        return np.zeros_like(arr, dtype=np.float64)
-    return arr / amax
-
-
-def normalize_sweep_for_phase(sweep: np.ndarray) -> np.ndarray:
-    """Совместимый alias: нормировка свипа перед восстановлением фазы."""
-    return normalize_trace_unit_range(sweep)
-
-
-def unwrap_arccos_phase_continuous(x_norm: np.ndarray) -> np.ndarray:
-    """Непрерывно развернуть фазу, восстановленную через arccos.
-
-    Для каждой точки рассматриваются ветви ±phi + 2πk и выбирается кандидат,
-    ближайший к предыдущей фазе (nearest continuous).
-    """
-    x = np.asarray(x_norm, dtype=np.float64).ravel()
-    if x.size == 0:
-        return np.zeros((0,), dtype=np.float64)
-    x = np.nan_to_num(x, nan=0.0, posinf=1.0, neginf=-1.0)
-    x = np.clip(x, -1.0, 1.0)
-    phi0 = np.arccos(x)
-
-    out = np.empty_like(phi0, dtype=np.float64)
-    out[0] = float(phi0[0])
-    for i in range(1, phi0.size):
-        base_phi = float(phi0[i])
-        prev = float(out[i - 1])
-
-        best_cand: Optional[float] = None
-        best_key: Optional[tuple[float, float]] = None
-
-        for sign in (1.0, -1.0):
-            base = sign * base_phi
-            k_center = int(np.round((prev - base) / _TWO_PI))
-            for k in (k_center - 1, k_center, k_center + 1):
-                cand = base + _TWO_PI * float(k)
-                step = abs(cand - prev)
-                # Tie-break: при равенстве шага предпочесть больший кандидат.
-                key = (step, -cand)
-                if best_key is None or key < best_key:
-                    best_key = key
-                    best_cand = cand
-
-        out[i] = prev if best_cand is None else float(best_cand)
-    return out
-
-
-def reconstruct_complex_spectrum_arccos(sweep: np.ndarray) -> np.ndarray:
-    """Режим arccos: cos(phi) -> phi -> exp(i*phi)."""
-    x_norm = normalize_trace_unit_range(sweep)
-    if x_norm.size == 0:
-        return np.zeros((0,), dtype=np.complex128)
-    phi = unwrap_arccos_phase_continuous(np.clip(x_norm, -1.0, 1.0))
-    return np.exp(1j * phi).astype(np.complex128, copy=False)
-
-
-def reconstruct_complex_spectrum_diff(sweep: np.ndarray) -> np.ndarray:
-    """Режим diff: x~=cos(phi), diff(x)->sin(phi), z=cos+i*sin с проекцией на единичную окружность."""
-    cos_phi = normalize_trace_unit_range(sweep)
-    if cos_phi.size == 0:
-        return np.zeros((0,), dtype=np.complex128)
-    cos_phi = np.clip(cos_phi, -1.0, 1.0)
-
-    if cos_phi.size < 2:
-        sin_est = np.zeros_like(cos_phi, dtype=np.float64)
-    else:
-        d = np.gradient(cos_phi)
-        sin_est = normalize_trace_unit_range(d)
-        sin_est = np.clip(sin_est, -1.0, 1.0)
-
-    z = cos_phi.astype(np.complex128, copy=False)  + 1j * sin_est.astype(np.complex128, copy=False)
-    mag = np.abs(z)
-    z_unit = np.ones_like(z, dtype=np.complex128)
-    mask = mag > _EPS
-    if np.any(mask):
-        z_unit[mask] = z[mask] / mag[mask]
-    return mag
-
-
-def reconstruct_complex_spectrum_from_real_trace(
-    sweep: np.ndarray,
-    *,
-    complex_mode: str = "arccos",
-) -> np.ndarray:
-    """Восстановить комплексный спектр из вещественного свипа в выбранном режиме."""
-    mode = _normalize_complex_mode(complex_mode)
-    if mode == "arccos":
-        return reconstruct_complex_spectrum_arccos(sweep)
-    if mode == "diff":
-        return reconstruct_complex_spectrum_diff(sweep)
-    raise ValueError(f"Unsupported complex reconstruction mode: {complex_mode!r}")
-
-
-def perform_ifft_depth_response(
-    s_array: np.ndarray,
-    frequencies_hz: np.ndarray,
-    *,
-    axis: str = "abs",
-    start_hz: float | None = None,
-    stop_hz: float | None = None,
-) -> tuple[np.ndarray, np.ndarray]:
-    """Frequency-to-depth conversion with zero-padding and frequency offset handling."""
-    try:
-        s_in = np.asarray(s_array, dtype=np.complex128).ravel()
-        f_in = np.asarray(frequencies_hz, dtype=np.float64).ravel()
-        m = min(s_in.size, f_in.size)
-        if m < 2:
-            raise ValueError("Not enough points")
-
-        s = s_in[:m]
-        f = f_in[:m]
-
-        lo = float(FREQ_MIN_GHZ * 1e9 if start_hz is None else start_hz)
-        hi = float(FREQ_MAX_GHZ * 1e9 if stop_hz is None else stop_hz)
-        if hi < lo:
-            lo, hi = hi, lo
-
-        mask = (
-            np.isfinite(f)
-            & np.isfinite(np.real(s))
-            & np.isfinite(np.imag(s))
-            & (f >= lo)
-            & (f <= hi)
-        )
-        f = f[mask]
-        s = s[mask]
-
-        n = int(f.size)
-        if n < 2:
-            raise ValueError("Not enough frequency points after filtering")
-        if np.any(np.diff(f) <= 0.0):
-            raise ValueError("Non-increasing frequency grid")
-
-        df = float((f[-1] - f[0]) / (n - 1))
-        if not np.isfinite(df) or df <= 0.0:
-            raise ValueError("Invalid frequency step")
-
-        k0 = int(np.round(float(f[0]) / df))
-        if k0 < 0:
-            raise ValueError("Negative frequency offset index")
-
-        min_len = int(2 * (k0 + n - 1))
-        if min_len <= 0:
-            raise ValueError("Invalid FFT length")
-        n_fft = 1 << int(np.ceil(np.log2(float(min_len))))
-
-        dt = 1.0 / (n_fft * df)
-        t_sec = np.arange(n_fft, dtype=np.float64) * dt
-
-        h = np.zeros((n_fft,), dtype=np.complex128)
-        end = k0 + n
-        if end > n_fft:
-            raise ValueError("Spectrum placement exceeds FFT buffer")
-        h[k0:end] = s
-
-        y = np.fft.ifft(h)
-        depth_m = t_sec * SPEED_OF_LIGHT_M_S
-
-        axis_name = str(axis).strip().lower()
-        if axis_name == "abs":
-            y_fin = np.abs(y)
-        elif axis_name == "real":
-            y_fin = np.real(y)
-        elif axis_name == "imag":
-            y_fin = np.imag(y)
-        elif axis_name == "phase":
-            y_fin = np.angle(y)
-        else:
-            raise ValueError(f"Invalid axis parameter: {axis!r}")
-
-        return depth_m.astype(np.float32, copy=False), np.asarray(y_fin, dtype=np.float32)
-
-    except Exception as exc:  # noqa: BLE001
-        logger.error("IFFT depth response failed: %r", exc)
-        return _fallback_depth_response(np.asarray(s_array).size, np.asarray(s_array))
-
-
-def compute_ifft_profile_from_sweep(
-    sweep: Optional[np.ndarray],
-    *,
-    complex_mode: str = "arccos",
-) -> tuple[np.ndarray, np.ndarray]:
-    """Высокоуровневый pipeline: sweep -> complex spectrum -> IFFT(abs) depth profile."""
-    if sweep is None:
-        return _fallback_depth_response(1, None)
-
-    try:
-        s = np.asarray(sweep, dtype=np.float64).ravel()
-        if s.size == 0:
-            return _fallback_depth_response(1, None)
-
-        freqs_hz = build_frequency_axis_hz(s.size)
-        s_complex = reconstruct_complex_spectrum_from_real_trace(s, complex_mode=complex_mode)
-        depth_m, y = perform_ifft_depth_response(s_complex, freqs_hz, axis="abs")
-        n = min(depth_m.size, y.size)
-        if n <= 0:
-            return _fallback_depth_response(s.size, s)
-        return depth_m[:n].astype(np.float32, copy=False), y[:n].astype(np.float32, copy=False)   # log10 для лучшей визуализации в водопаде  
-    except Exception as exc:  # noqa: BLE001
-        logger.error("compute_ifft_profile_from_sweep failed: %r", exc)
-        return _fallback_depth_response(np.asarray(sweep).size if sweep is not None else 1, sweep)
-
-
-def compute_ifft_db_profile(sweep: Optional[np.ndarray]) -> np.ndarray:
-    """Legacy wrapper (deprecated name): возвращает линейный |IFFT| профиль."""
-    _depth_m, y = compute_ifft_profile_from_sweep(sweep, complex_mode="arccos")
-    return y
-

rfg_adc_plotter/processing/normalizer.py

@@ -1,149 +0,0 @@
-"""Алгоритмы нормировки свипов по калибровочной кривой."""
-
-from typing import Tuple
-
-import numpy as np
-
-
-def normalize_simple(raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
-    """Простая нормировка: поэлементное деление raw/calib."""
-    w = min(raw.size, calib.size)
-    if w <= 0:
-        return raw
-    out = np.full_like(raw, np.nan, dtype=np.float32)
-    with np.errstate(divide="ignore", invalid="ignore"):
-        out[:w] = raw[:w] / calib[:w]
-    out = np.nan_to_num(out, nan=np.nan, posinf=np.nan, neginf=np.nan)
-    return out
-
-
-def build_calib_envelopes(calib: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
-    """Оценить огибающую по модулю сигнала.
-
-    Возвращает (lower, upper) = (-envelope, +envelope), где envelope —
-    интерполяция через локальные максимумы |calib|.
-    """
-    n = int(calib.size)
-    if n <= 0:
-        empty = np.zeros((0,), dtype=np.float32)
-        return empty, empty
-
-    y = np.asarray(calib, dtype=np.float32)
-    finite = np.isfinite(y)
-    if not np.any(finite):
-        zeros = np.zeros_like(y, dtype=np.float32)
-        return zeros, zeros
-
-    if not np.all(finite):
-        x = np.arange(n, dtype=np.float32)
-        y = y.copy()
-        y[~finite] = np.interp(x[~finite], x[finite], y[finite]).astype(np.float32)
-
-    a = np.abs(y)
-
-    if n < 3:
-        env = a.copy()
-        return -env, env
-
-    da = np.diff(a)
-    s = np.sign(da).astype(np.int8, copy=False)
-
-    if np.any(s == 0):
-        for i in range(1, s.size):
-            if s[i] == 0:
-                s[i] = s[i - 1]
-        for i in range(s.size - 2, -1, -1):
-            if s[i] == 0:
-                s[i] = s[i + 1]
-        s[s == 0] = 1
-
-    max_idx = np.where((s[:-1] > 0) & (s[1:] < 0))[0] + 1
-
-    x = np.arange(n, dtype=np.float32)
-
-    if max_idx.size == 0:
-        idx = np.array([0, n - 1], dtype=np.int64)
-    else:
-        idx = np.unique(np.concatenate(([0], max_idx, [n - 1]))).astype(np.int64)
-    env = np.interp(x, idx.astype(np.float32), a[idx]).astype(np.float32)
-
-    return -env, env
-
-
-def normalize_projector(raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
-    """Нормировка через проекцию между огибающими калибровки в диапазон [-1000, +1000]."""
-    w = min(raw.size, calib.size)
-    if w <= 0:
-        return raw
-
-    out = np.full_like(raw, np.nan, dtype=np.float32)
-    raw_seg = np.asarray(raw[:w], dtype=np.float32)
-    lower, upper = build_calib_envelopes(np.asarray(calib[:w], dtype=np.float32))
-    span = upper - lower
-
-    finite_span = span[np.isfinite(span) & (span > 0)]
-    if finite_span.size > 0:
-        eps = max(float(np.median(finite_span)) * 1e-6, 1e-9)
-    else:
-        eps = 1e-9
-
-    valid = (
-        np.isfinite(raw_seg)
-        & np.isfinite(lower)
-        & np.isfinite(upper)
-        & (span > eps)
-    )
-    if np.any(valid):
-        proj = np.empty_like(raw_seg, dtype=np.float32)
-        proj[valid] = ((2.0 * (raw_seg[valid] - lower[valid]) / span[valid]) - 1.0) * 1000.0
-        proj[valid] = np.clip(proj[valid], -1000.0, 1000.0)
-        proj[~valid] = np.nan
-        out[:w] = proj
-
-    return out
-
-
-def normalize_by_calib(raw: np.ndarray, calib: np.ndarray, norm_type: str) -> np.ndarray:
-    """Нормировка свипа по выбранному алгоритму."""
-    nt = str(norm_type).strip().lower()
-    if nt == "simple":
-        return normalize_simple(raw, calib)
-    return normalize_projector(raw, calib)
-
-
-def normalize_by_envelope(raw: np.ndarray, envelope: np.ndarray) -> np.ndarray:
-    """Нормировка свипа через проекцию на огибающую из файла.
-
-    Воспроизводит логику normalize_projector: проецирует raw в [-1000, +1000]
-    используя готовую верхнюю огибающую (upper = envelope, lower = -envelope).
-    """
-    w = min(raw.size, envelope.size)
-    if w <= 0:
-        return raw
-
-    out = np.full_like(raw, np.nan, dtype=np.float32)
-    raw_seg = np.asarray(raw[:w], dtype=np.float32)
-    upper = np.asarray(envelope[:w], dtype=np.float32)
-    lower = -upper
-    span = upper - lower  # = 2 * upper
-
-    finite_span = span[np.isfinite(span) & (span > 0)]
-    if finite_span.size > 0:
-        eps = max(float(np.median(finite_span)) * 1e-6, 1e-9)
-    else:
-        eps = 1e-9
-
-    valid = (
-        np.isfinite(raw_seg)
-        & np.isfinite(lower)
-        & np.isfinite(upper)
-        & (span > eps)
-    )
-    if np.any(valid):
-        proj = np.empty_like(raw_seg, dtype=np.float32)
-        proj[valid] = ((2.0 * (raw_seg[valid] - lower[valid]) / span[valid]) - 1.0) * 1000.0
-        proj[valid] = np.clip(proj[valid], -1000.0, 1000.0)
-        proj[~valid] = np.nan
-        out[:w] = proj
-
-    return out

rfg_adc_plotter/processing/pipeline.py

@@ -1,415 +0,0 @@
-"""Явный pipeline предобработки свипов перед помещением в RingBuffer."""
-
-from __future__ import annotations
-
-from dataclasses import dataclass
-import os
-from typing import Optional, Tuple
-
-import numpy as np
-
-from rfg_adc_plotter.io.capture_reference_loader import (
-    CaptureParseSummary,
-    aggregate_capture_reference,
-    detect_reference_file_format,
-    load_capture_sweeps,
-)
-from rfg_adc_plotter.processing.normalizer import (
-    build_calib_envelopes,
-    normalize_by_calib,
-    normalize_by_envelope,
-)
-
-DEFAULT_CALIB_ENVELOPE_PATH = "calib_envelope.npy"
-DEFAULT_BACKGROUND_PATH = "background.npy"
-
-
-def _normalize_path(path: str) -> str:
-    return str(path).strip()
-
-
-def _normalize_save_npy_path(path: str) -> str:
-    p = _normalize_path(path)
-    if not p:
-        return p
-    _root, ext = os.path.splitext(p)
-    if ext:
-        return p
-    return f"{p}.npy"
-
-
-def _summary_for_npy(path: str) -> CaptureParseSummary:
-    return CaptureParseSummary(
-        path=path,
-        format="npy",
-        sweeps_total=0,
-        sweeps_valid=0,
-        channels_seen=tuple(),
-        dominant_width=None,
-        dominant_n_valid=None,
-        aggregation="median",
-        warnings=tuple(),
-    )
-
-
-@dataclass(frozen=True)
-class SweepProcessingResult:
-    """Результат предобработки одного свипа."""
-
-    processed_sweep: np.ndarray
-    normalized_sweep: Optional[np.ndarray]
-    calibration_applied: bool
-    background_applied: bool
-    calibration_source: str  # off|live|npy|capture
-    background_source: str   # off|npy|capture(raw)|capture(raw->calib)
-    is_calibration_reference: bool
-    stage_trace: Tuple[str, ...]
-
-
-class SweepPreprocessor:
-    """Управляет калибровкой/фоном и применяет их к входному свипу."""
-
-    def __init__(
-        self,
-        norm_type: str = "projector",
-        calib_envelope_path: str = DEFAULT_CALIB_ENVELOPE_PATH,
-        background_path: str = DEFAULT_BACKGROUND_PATH,
-        auto_save_live_calib_envelope: bool = True,
-    ):
-        self.norm_type = str(norm_type).strip().lower() or "projector"
-        self.calib_enabled = False
-        self.calib_mode = "live"  # live | file
-        self.background_enabled = False
-        self.auto_save_live_calib_envelope = bool(auto_save_live_calib_envelope)
-
-        self.calib_envelope_path = _normalize_path(calib_envelope_path)
-        self.background_path = _normalize_path(background_path)
-
-        self.last_calib_sweep: Optional[np.ndarray] = None
-        self.calib_file_envelope: Optional[np.ndarray] = None
-
-        # background — в текущем домене вычитания (raw или normalized), UI использует для preview/state
-        self.background: Optional[np.ndarray] = None
-        # raw background loaded from capture file; преобразуется на лету при активной калибровке
-        self.background_raw_capture: Optional[np.ndarray] = None
-
-        # Источники и метаданные загрузки
-        self.calib_external_source_type: str = "none"        # none|npy|capture
-        self.background_source_type: str = "none"            # none|npy_processed|capture_raw
-        self.calib_reference_summary: Optional[CaptureParseSummary] = None
-        self.background_reference_summary: Optional[CaptureParseSummary] = None
-        self.last_reference_error: str = ""
-
-        # Параметры офлайн-парсинга capture (должны совпадать с live parser по настройке UI)
-        self.capture_fancy: bool = False
-        self.capture_logscale: bool = False
-        self.reference_aggregation_method: str = "median"
-
-    # ---- Конфигурация ----
-    def set_calib_mode(self, mode: str):
-        m = str(mode).strip().lower()
-        self.calib_mode = "file" if m == "file" else "live"
-
-    def set_calib_enabled(self, enabled: bool):
-        self.calib_enabled = bool(enabled)
-
-    def set_background_enabled(self, enabled: bool):
-        self.background_enabled = bool(enabled)
-
-    def set_capture_parse_options(self, *, fancy: Optional[bool] = None, logscale: Optional[bool] = None):
-        if fancy is not None:
-            self.capture_fancy = bool(fancy)
-        if logscale is not None:
-            self.capture_logscale = bool(logscale)
-
-    def set_calib_envelope_path(self, path: str):
-        p = _normalize_path(path)
-        if p:
-            if p != self.calib_envelope_path:
-                self.calib_file_envelope = None
-                if self.calib_external_source_type in ("npy", "capture"):
-                    self.calib_external_source_type = "none"
-                    self.calib_reference_summary = None
-            self.calib_envelope_path = p
-
-    def set_background_path(self, path: str):
-        p = _normalize_path(path)
-        if p:
-            if p != self.background_path:
-                self.background = None
-                self.background_raw_capture = None
-                self.background_source_type = "none"
-                self.background_reference_summary = None
-            self.background_path = p
-
-    def has_calib_envelope_file(self) -> bool:
-        return bool(self.calib_envelope_path) and os.path.isfile(self.calib_envelope_path)
-
-    def has_background_file(self) -> bool:
-        return bool(self.background_path) and os.path.isfile(self.background_path)
-
-    # ---- Загрузка/сохранение .npy ----
-    def _save_array(self, arr: np.ndarray, current_path: str, path: Optional[str]) -> str:
-        target = _normalize_save_npy_path(path if path is not None else current_path)
-        if not target:
-            raise ValueError("Пустой путь сохранения")
-        np.save(target, arr)
-        return target
-
-    def save_calib_envelope(self, path: Optional[str] = None) -> bool:
-        """Сохранить огибающую из последнего live-калибровочного свипа (экспорт .npy)."""
-        if self.last_calib_sweep is None:
-            return False
-        try:
-            _lower, upper = build_calib_envelopes(self.last_calib_sweep)
-            self.calib_envelope_path = self._save_array(upper, self.calib_envelope_path, path)
-            self.last_reference_error = ""
-            return True
-        except Exception as exc:
-            self.last_reference_error = f"save calib envelope failed: {exc}"
-            return False
-
-    def save_background(self, sweep_for_ring: Optional[np.ndarray], path: Optional[str] = None) -> bool:
-        """Сохранить текущий свип (в текущем домене обработки) как .npy-фон."""
-        if sweep_for_ring is None:
-            return False
-        try:
-            bg = np.asarray(sweep_for_ring, dtype=np.float32).copy()
-            self.background_path = self._save_array(bg, self.background_path, path)
-            self.background = bg
-            self.background_raw_capture = None
-            self.background_source_type = "npy_processed"
-            self.background_reference_summary = _summary_for_npy(self.background_path)
-            self.last_reference_error = ""
-            return True
-        except Exception as exc:
-            self.last_reference_error = f"save background failed: {exc}"
-            return False
-
-    # ---- Загрузка эталонов (.npy или capture) ----
-    def _detect_source_kind(self, path: str, source_kind: str) -> Optional[str]:
-        sk = str(source_kind).strip().lower() or "auto"
-        if sk == "auto":
-            return detect_reference_file_format(path)
-        if sk in ("npy", "bin_capture", "capture"):
-            return "bin_capture" if sk == "capture" else sk
-        return None
-
-    def _load_npy_vector(self, path: str) -> np.ndarray:
-        arr = np.load(path)
-        return np.asarray(arr, dtype=np.float32).reshape(-1)
-
-    def load_calib_reference(
-        self,
-        path: Optional[str] = None,
-        *,
-        source_kind: str = "auto",
-        method: str = "median",
-    ) -> bool:
-        """Загрузить калибровку из .npy (огибающая) или raw capture файла."""
-        if path is not None:
-            self.set_calib_envelope_path(path)
-        p = self.calib_envelope_path
-        if not p or not os.path.isfile(p):
-            self.last_reference_error = f"Файл калибровки не найден: {p}"
-            return False
-
-        fmt = self._detect_source_kind(p, source_kind)
-        if fmt is None:
-            self.last_reference_error = f"Неизвестный формат файла калибровки: {p}"
-            return False
-
-        try:
-            if fmt == "npy":
-                env = self._load_npy_vector(p)
-                self.calib_file_envelope = env
-                self.calib_external_source_type = "npy"
-                self.calib_reference_summary = _summary_for_npy(p)
-                self.last_reference_error = ""
-                return True
-
-            sweeps = load_capture_sweeps(p, fancy=self.capture_fancy, logscale=self.capture_logscale)
-            vec, summary = aggregate_capture_reference(
-                sweeps,
-                channel=0,
-                method=method or self.reference_aggregation_method,
-                path=p,
-            )
-            _lower, upper = build_calib_envelopes(vec)
-            self.calib_file_envelope = np.asarray(upper, dtype=np.float32)
-            self.calib_external_source_type = "capture"
-            self.calib_reference_summary = summary
-            self.last_reference_error = ""
-            return True
-        except Exception as exc:
-            self.last_reference_error = f"Ошибка загрузки калибровки: {exc}"
-            return False
-
-    def load_background_reference(
-        self,
-        path: Optional[str] = None,
-        *,
-        source_kind: str = "auto",
-        method: str = "median",
-    ) -> bool:
-        """Загрузить фон из .npy (готовый домен) или raw capture файла."""
-        if path is not None:
-            self.set_background_path(path)
-        p = self.background_path
-        if not p or not os.path.isfile(p):
-            self.last_reference_error = f"Файл фона не найден: {p}"
-            return False
-
-        fmt = self._detect_source_kind(p, source_kind)
-        if fmt is None:
-            self.last_reference_error = f"Неизвестный формат файла фона: {p}"
-            return False
-
-        try:
-            if fmt == "npy":
-                bg = self._load_npy_vector(p)
-                self.background = bg
-                self.background_raw_capture = None
-                self.background_source_type = "npy_processed"
-                self.background_reference_summary = _summary_for_npy(p)
-                self.last_reference_error = ""
-                return True
-
-            sweeps = load_capture_sweeps(p, fancy=self.capture_fancy, logscale=self.capture_logscale)
-            vec, summary = aggregate_capture_reference(
-                sweeps,
-                channel=0,
-                method=method or self.reference_aggregation_method,
-                path=p,
-            )
-            self.background_raw_capture = np.asarray(vec, dtype=np.float32)
-            # Для UI/preview текущий background отражает текущий домен (пока raw по умолчанию).
-            self.background = self.background_raw_capture
-            self.background_source_type = "capture_raw"
-            self.background_reference_summary = summary
-            self.last_reference_error = ""
-            return True
-        except Exception as exc:
-            self.last_reference_error = f"Ошибка загрузки фона: {exc}"
-            return False
-
-    # Совместимые обертки для старого API (строго .npy)
-    def load_calib_envelope(self, path: Optional[str] = None) -> bool:
-        target = path if path is not None else self.calib_envelope_path
-        return self.load_calib_reference(target, source_kind="npy")
-
-    def load_background(self, path: Optional[str] = None) -> bool:
-        target = path if path is not None else self.background_path
-        return self.load_background_reference(target, source_kind="npy")
-
-    # ---- Нормировка / фон ----
-    def _normalize_against_active_reference(self, raw: np.ndarray) -> Tuple[Optional[np.ndarray], bool, str]:
-        if not self.calib_enabled:
-            return None, False, "off"
-
-        if self.calib_mode == "file":
-            if self.calib_file_envelope is None:
-                return None, False, "off"
-            src = "capture" if self.calib_external_source_type == "capture" else "npy"
-            return normalize_by_envelope(raw, self.calib_file_envelope), True, src
-
-        if self.last_calib_sweep is None:
-            return None, False, "off"
-        return normalize_by_calib(raw, self.last_calib_sweep, self.norm_type), True, "live"
-
-    def _transform_raw_background_for_current_domain(self, calib_applied: bool) -> Optional[np.ndarray]:
-        if self.background_raw_capture is None:
-            return None
-        if not calib_applied:
-            return self.background_raw_capture
-
-        # Порядок pipeline фиксирован: raw -> calibration -> background -> IFFT.
-        # Поэтому raw-фон из capture нужно привести в тот же домен, что и текущий sweep_for_ring.
-        if self.calib_mode == "file" and self.calib_file_envelope is not None:
-            return normalize_by_envelope(self.background_raw_capture, self.calib_file_envelope)
-        if self.calib_mode == "live" and self.last_calib_sweep is not None:
-            return normalize_by_calib(self.background_raw_capture, self.last_calib_sweep, self.norm_type)
-        return None
-
-    def _effective_background(self, calib_applied: bool) -> Tuple[Optional[np.ndarray], str]:
-        if self.background_source_type == "capture_raw":
-            bg = self._transform_raw_background_for_current_domain(calib_applied)
-            if bg is None:
-                return None, "capture(raw->calib:missing-calib)"
-            self.background = np.asarray(bg, dtype=np.float32)
-            return self.background, ("capture(raw->calib)" if calib_applied else "capture(raw)")
-        if self.background_source_type == "npy_processed" and self.background is not None:
-            return self.background, "npy"
-        if self.background is not None:
-            return self.background, "unknown"
-        return None, "off"
-
-    def _subtract_background(self, sweep: np.ndarray, calib_applied: bool) -> Tuple[np.ndarray, bool, str]:
-        if not self.background_enabled:
-            return sweep, False, "off"
-        bg, bg_src = self._effective_background(calib_applied)
-        if bg is None:
-            return sweep, False, f"{bg_src}:missing"
-        out = np.asarray(sweep, dtype=np.float32).copy()
-        w = min(out.size, bg.size)
-        if w > 0:
-            out[:w] -= bg[:w]
-        return out, True, bg_src
-
-    def process(self, sweep: np.ndarray, channel: int, update_references: bool = True) -> SweepProcessingResult:
-        """Применить к свипу калибровку/фон и вернуть явные этапы обработки."""
-        raw = np.asarray(sweep, dtype=np.float32)
-        ch = int(channel)
-
-        if ch == 0:
-            if update_references:
-                self.last_calib_sweep = raw
-                if self.auto_save_live_calib_envelope:
-                    self.save_calib_envelope()
-
-            # ch0 всегда остаётся live-калибровочной ссылкой (raw), но при file-калибровке
-            # можем применять её и к ch0 для отображения/обработки независимо от канала.
-            calib_applied = False
-            calib_source = "off"
-            normalized: Optional[np.ndarray] = None
-            if self.calib_enabled and self.calib_mode == "file":
-                normalized, calib_applied, calib_source = self._normalize_against_active_reference(raw)
-
-            base = normalized if normalized is not None else raw
-            processed, bg_applied, bg_source = self._subtract_background(base, calib_applied=calib_applied)
-
-            stages = ["parsed_sweep", "raw_sweep", "ch0_live_calibration_reference"]
-            stages.append(f"calibration_{calib_source}" if calib_applied else "calibration_off")
-            stages.append(f"background_{bg_source}" if bg_applied else "background_off")
-            stages.extend(["ring_buffer", "ifft_db"])
-
-            return SweepProcessingResult(
-                processed_sweep=processed,
-                normalized_sweep=normalized,
-                calibration_applied=calib_applied,
-                background_applied=bg_applied,
-                calibration_source=calib_source if calib_applied else "off",
-                background_source=bg_source if bg_applied else "off",
-                is_calibration_reference=True,
-                stage_trace=tuple(stages),
-            )
-
-        normalized, calib_applied, calib_source = self._normalize_against_active_reference(raw)
-        base = normalized if normalized is not None else raw
-        processed, bg_applied, bg_source = self._subtract_background(base, calib_applied)
-
-        stages = ["parsed_sweep", "raw_sweep"]
-        stages.append(f"calibration_{calib_source}" if calib_applied else "calibration_off")
-        stages.append(f"background_{bg_source}" if bg_applied else "background_off")
-        stages.extend(["ring_buffer", "ifft_db"])
-
-        return SweepProcessingResult(
-            processed_sweep=processed,
-            normalized_sweep=normalized,
-            calibration_applied=calib_applied,
-            background_applied=bg_applied,
-            calibration_source=calib_source if calib_applied else "off",
-            background_source=bg_source if bg_applied else "off",
-            is_calibration_reference=False,
-            stage_trace=tuple(stages),
-        )

rfg_adc_plotter/state/app_state.py

@@ -1,355 +0,0 @@
-"""Состояние приложения: текущие свипы и настройки калибровки/нормировки."""
-
-from queue import Empty, Queue
-from typing import Any, Mapping, Optional
-
-import numpy as np
-
-from rfg_adc_plotter.processing.pipeline import (
-    DEFAULT_BACKGROUND_PATH,
-    DEFAULT_CALIB_ENVELOPE_PATH,
-    SweepPreprocessor,
-)
-from rfg_adc_plotter.state.ring_buffer import RingBuffer
-from rfg_adc_plotter.types import SweepInfo, SweepPacket
-
-CALIB_ENVELOPE_PATH = DEFAULT_CALIB_ENVELOPE_PATH
-BACKGROUND_PATH = DEFAULT_BACKGROUND_PATH
-
-
-def format_status(data: Mapping[str, Any]) -> str:
-    """Преобразовать словарь метрик в одну строку 'k:v'."""
-
-    def _fmt(v: Any) -> str:
-        if v is None:
-            return "NA"
-        try:
-            fv = float(v)
-        except Exception:
-            return str(v)
-        if not np.isfinite(fv):
-            return "nan"
-        if abs(fv) >= 1000 or (0 < abs(fv) < 0.01):
-            return f"{fv:.3g}"
-        return f"{fv:.3f}".rstrip("0").rstrip(".")
-
-    parts = [f"{k}:{_fmt(v)}" for k, v in data.items() if k != "pre_exp_sweep"]
-    return "  ".join(parts)
-
-
-class AppState:
-    """Весь изменяемый GUI-state: текущие данные + pipeline предобработки."""
-
-    def __init__(self, norm_type: str = "projector"):
-        self.current_sweep_pre_exp: Optional[np.ndarray] = None
-        self.current_sweep_post_exp: Optional[np.ndarray] = None
-        self.current_sweep_processed: Optional[np.ndarray] = None
-        self.current_sweep_raw: Optional[np.ndarray] = None
-        self.current_sweep_norm: Optional[np.ndarray] = None
-        self.current_info: Optional[SweepInfo] = None
-        self.norm_type: str = str(norm_type).strip().lower()
-        self.preprocessor = SweepPreprocessor(norm_type=self.norm_type)
-        self._last_sweep_for_ring: Optional[np.ndarray] = None
-        self._last_stage_trace: tuple[str, ...] = tuple()
-
-    def configure_capture_import(self, *, fancy: Optional[bool] = None, logscale: Optional[bool] = None):
-        self.preprocessor.set_capture_parse_options(fancy=fancy, logscale=logscale)
-
-    # ---- Свойства pipeline (для совместимости с GUI) ----
-    @property
-    def calib_enabled(self) -> bool:
-        return self.preprocessor.calib_enabled
-
-    @property
-    def calib_mode(self) -> str:
-        return self.preprocessor.calib_mode
-
-    @property
-    def calib_file_envelope(self) -> Optional[np.ndarray]:
-        return self.preprocessor.calib_file_envelope
-
-    @property
-    def last_calib_sweep(self) -> Optional[np.ndarray]:
-        return self.preprocessor.last_calib_sweep
-
-    @property
-    def background(self) -> Optional[np.ndarray]:
-        return self.preprocessor.background
-
-    @property
-    def background_enabled(self) -> bool:
-        return self.preprocessor.background_enabled
-
-    @property
-    def calib_source_type(self) -> str:
-        return self.preprocessor.calib_external_source_type
-
-    @property
-    def background_source_type(self) -> str:
-        return self.preprocessor.background_source_type
-
-    @property
-    def calib_reference_summary(self):
-        return self.preprocessor.calib_reference_summary
-
-    @property
-    def background_reference_summary(self):
-        return self.preprocessor.background_reference_summary
-
-    @property
-    def last_reference_error(self) -> str:
-        return self.preprocessor.last_reference_error
-
-    @property
-    def calib_envelope_path(self) -> str:
-        return self.preprocessor.calib_envelope_path
-
-    @property
-    def background_path(self) -> str:
-        return self.preprocessor.background_path
-
-    # ---- Управление файлами калибровки/фона ----
-    def set_calib_envelope_path(self, path: str):
-        self.preprocessor.set_calib_envelope_path(path)
-        self._refresh_current_processed()
-
-    def set_background_path(self, path: str):
-        self.preprocessor.set_background_path(path)
-        self._refresh_current_processed()
-
-    def has_calib_envelope_file(self) -> bool:
-        return self.preprocessor.has_calib_envelope_file()
-
-    def has_background_file(self) -> bool:
-        return self.preprocessor.has_background_file()
-
-    def save_calib_envelope(self, path: Optional[str] = None) -> bool:
-        return self.preprocessor.save_calib_envelope(path)
-
-    def load_calib_reference(self, path: Optional[str] = None) -> bool:
-        ok = self.preprocessor.load_calib_reference(path)
-        if ok:
-            self._refresh_current_processed()
-        return ok
-
-    def load_calib_envelope(self, path: Optional[str] = None) -> bool:
-        return self.load_calib_reference(path)
-
-    def set_calib_mode(self, mode: str):
-        self.preprocessor.set_calib_mode(mode)
-        self._refresh_current_processed()
-
-    def save_background(self, path: Optional[str] = None) -> bool:
-        return self.preprocessor.save_background(self._last_sweep_for_ring, path)
-
-    def load_background_reference(self, path: Optional[str] = None) -> bool:
-        ok = self.preprocessor.load_background_reference(path)
-        if ok:
-            self._refresh_current_processed()
-        return ok
-
-    def load_background(self, path: Optional[str] = None) -> bool:
-        return self.load_background_reference(path)
-
-    def set_background_enabled(self, enabled: bool):
-        self.preprocessor.set_background_enabled(enabled)
-        self._refresh_current_processed()
-
-    def set_calib_enabled(self, enabled: bool):
-        self.preprocessor.set_calib_enabled(enabled)
-        self._refresh_current_processed()
-
-    # ---- Вспомогательные методы для UI ----
-    def _current_channel(self) -> Optional[int]:
-        if not isinstance(self.current_info, dict):
-            return None
-        try:
-            return int(self.current_info.get("ch", 0))
-        except Exception:
-            return 0
-
-    def _apply_result_to_current(self, result) -> None:
-        self._last_stage_trace = tuple(result.stage_trace)
-        if result.is_calibration_reference:
-            self.current_sweep_norm = None
-        elif result.calibration_applied or result.background_applied:
-            self.current_sweep_norm = result.processed_sweep
-        else:
-            self.current_sweep_norm = None
-        self.current_sweep_processed = result.processed_sweep
-        self._last_sweep_for_ring = result.processed_sweep
-
-    def _refresh_current_processed(self):
-        if self.current_sweep_raw is None:
-            self.current_sweep_norm = None
-            self.current_sweep_processed = None
-            self._last_stage_trace = tuple()
-            return
-        ch = self._current_channel() or 0
-        result = self.preprocessor.process(self.current_sweep_raw, ch, update_references=False)
-        self._apply_result_to_current(result)
-
-    def format_pipeline_status(self) -> str:
-        """Краткое описание pipeline для UI: от распарсенного свипа до IFFT."""
-        ch = self._current_channel()
-        if ch is None:
-            ch_txt = "?"
-        else:
-            ch_txt = str(ch)
-
-        reader_stage = "log-exp" if self.current_sweep_pre_exp is not None else "linear"
-
-        if ch == 0:
-            file_calib_applies = (
-                self.calib_enabled
-                and self.calib_mode == "file"
-                and self.calib_file_envelope is not None
-            )
-            if self.calib_enabled and self.calib_mode == "file":
-                calib_stage = self.format_calib_source_status()
-            else:
-                calib_stage = "calib[off]"
-
-            if not self.background_enabled:
-                bg_stage = "bg[off]"
-            elif self.background_source_type == "capture_raw":
-                if self.background is None:
-                    bg_stage = (
-                        "bg[capture(raw->calib):missing]"
-                        if file_calib_applies
-                        else "bg[capture(raw):missing]"
-                    )
-                else:
-                    bg_stage = "bg[capture(raw->calib)]" if file_calib_applies else "bg[capture(raw)]"
-            elif self.background_source_type == "npy_processed":
-                bg_stage = "bg[npy]" if self.background is not None else "bg[npy:missing]"
-            else:
-                bg_stage = "bg[sub]" if self.background is not None else "bg[missing]"
-            return (
-                f"pipeline ch{ch_txt}: parsed -> {reader_stage} -> raw -> "
-                f"live-calib-ref -> {calib_stage} -> {bg_stage} -> ring -> IFFT(abs, depth_m)"
-            )
-
-        calib_stage = self.format_calib_source_status()
-        bg_stage = self.format_background_source_status()
-
-        return (
-            f"pipeline ch{ch_txt}: parsed -> {reader_stage} -> raw -> "
-            f"{calib_stage} -> {bg_stage} -> ring -> IFFT(abs, depth_m)"
-        )
-
-    def _format_summary(self, summary) -> str:
-        if summary is None:
-            return ""
-        parts: list[str] = []
-        if getattr(summary, "sweeps_valid", 0) or getattr(summary, "sweeps_total", 0):
-            parts.append(f"valid:{summary.sweeps_valid}/{summary.sweeps_total}")
-        if getattr(summary, "dominant_width", None) is not None:
-            parts.append(f"w:{summary.dominant_width}")
-        chs = getattr(summary, "channels_seen", tuple())
-        if chs:
-            parts.append("chs:" + ",".join(str(v) for v in chs))
-        warns = getattr(summary, "warnings", tuple())
-        if warns:
-            parts.append(f"warn:{warns[0]}")
-        return " ".join(parts)
-
-    def format_calib_source_status(self) -> str:
-        if not self.calib_enabled:
-            return "calib[off]"
-        if self.calib_mode == "live":
-            return "calib[live]" if self.last_calib_sweep is not None else "calib[live:no-ref]"
-        if self.calib_file_envelope is None:
-            return "calib[file:missing]"
-        if self.calib_source_type == "capture":
-            return "calib[capture]"
-        if self.calib_source_type == "npy":
-            return "calib[npy]"
-        return "calib[file]"
-
-    def format_background_source_status(self) -> str:
-        if not self.background_enabled:
-            return "bg[off]"
-        src = self.background_source_type
-        if src == "capture_raw":
-            if self.calib_enabled:
-                can_map = (
-                    (self.calib_mode == "file" and self.calib_file_envelope is not None)
-                    or (self.calib_mode == "live" and self.last_calib_sweep is not None)
-                )
-                if not can_map:
-                    return "bg[capture(raw->calib):missing]"
-            if self.background is None:
-                return "bg[capture(raw->calib):missing]"
-            return "bg[capture(raw->calib)]" if self.calib_enabled else "bg[capture(raw)]"
-        if src == "npy_processed":
-            return "bg[npy]" if self.background is not None else "bg[npy:missing]"
-        if self.background is not None:
-            return "bg[sub]"
-        return "bg[missing]"
-
-    def format_reference_status(self) -> str:
-        parts: list[str] = []
-        calib_s = self._format_summary(self.calib_reference_summary)
-        if calib_s:
-            parts.append(f"calib[{calib_s}]")
-        bg_s = self._format_summary(self.background_reference_summary)
-        if bg_s:
-            parts.append(f"bg[{bg_s}]")
-        if self.last_reference_error:
-            parts.append(f"err:{self.last_reference_error}")
-        return " | ".join(parts)
-
-    def format_stage_trace(self) -> str:
-        if not self._last_stage_trace:
-            return ""
-        return " -> ".join(self._last_stage_trace)
-
-    def drain_queue(self, q: "Queue[SweepPacket]", ring: RingBuffer) -> int:
-        """Вытащить все ожидающие свипы из очереди, обновить state и ring.
-
-        Возвращает количество обработанных свипов.
-        """
-        drained = 0
-        while True:
-            try:
-                s, info = q.get_nowait()
-            except Empty:
-                break
-            drained += 1
-
-            self.current_sweep_raw = s
-            self.current_sweep_post_exp = s
-            self.current_info = info
-            pre_exp = info.get("pre_exp_sweep") if isinstance(info, dict) else None
-            self.current_sweep_pre_exp = pre_exp if isinstance(pre_exp, np.ndarray) else None
-
-            try:
-                ch = int(info.get("ch", 0)) if isinstance(info, dict) else 0
-            except Exception:
-                ch = 0
-
-            result = self.preprocessor.process(s, ch, update_references=True)
-            self._apply_result_to_current(result)
-
-            ring.ensure_init(s.size)
-            ring.push(result.processed_sweep)
-        return drained
-
-    def format_channel_label(self) -> str:
-        """Строка с номерами каналов для подписи на графике."""
-        if self.current_info is None:
-            return ""
-        info = self.current_info
-        chs = info.get("chs") if isinstance(info, dict) else None
-        if chs is None:
-            chs = info.get("ch") if isinstance(info, dict) else None
-        if chs is None:
-            return ""
-        try:
-            if isinstance(chs, (list, tuple, set)):
-                ch_list = sorted(int(v) for v in chs)
-                return "chs " + ", ".join(str(v) for v in ch_list)
-            return f"chs {int(chs)}"
-        except Exception:
-            return f"chs {chs}"

rfg_adc_plotter/state/ring_buffer.py

@@ -1,229 +0,0 @@
-"""Кольцевой буфер свипов и FFT-строк для водопадного отображения."""
-
-import time
-from typing import Optional, Tuple
-
-import numpy as np
-
-from rfg_adc_plotter.constants import (
-    FREQ_MAX_GHZ,
-    FREQ_MIN_GHZ,
-    WF_WIDTH,
-)
-from rfg_adc_plotter.processing.fourier import compute_ifft_profile_from_sweep
-
-
-class RingBuffer:
-    """Хранит последние N свипов и соответствующие FFT-строки.
-
-    Все мутабельные поля водопада инкапсулированы здесь,
-    что устраняет необходимость nonlocal в GUI-коде.
-    """
-
-    def __init__(self, max_sweeps: int):
-        self.max_sweeps = max_sweeps
-        # Размер IFFT-профиля теперь динамический и определяется по первому успешному свипу.
-        self.fft_bins = 0
-        self.fft_complex_mode: str = "arccos"
-
-        # Инициализируются при первом свипе (ensure_init)
-        self.ring: Optional[np.ndarray] = None        # (max_sweeps, WF_WIDTH)
-        self.ring_fft: Optional[np.ndarray] = None    # (max_sweeps, fft_bins)
-        self.ring_time: Optional[np.ndarray] = None   # (max_sweeps,)
-        self.head: int = 0
-        self.width: Optional[int] = None
-        self.x_shared: Optional[np.ndarray] = None
-        self.fft_depth_axis_m: Optional[np.ndarray] = None  # ось глубины IFFT в метрах
-        self.y_min_fft: Optional[float] = None
-        self.y_max_fft: Optional[float] = None
-        # FFT последнего свипа (для отображения без повторного вычисления)
-        self.last_fft_vals: Optional[np.ndarray] = None
-
-    @property
-    def is_ready(self) -> bool:
-        return self.ring is not None
-
-    @property
-    def fft_time_axis(self) -> Optional[np.ndarray]:
-        """Legacy alias: старое имя поля (раньше было время в нс, теперь глубина в м)."""
-        return self.fft_depth_axis_m
-
-    def set_fft_complex_mode(self, mode: str) -> bool:
-        """Выбрать режим реконструкции комплексного спектра для IFFT.
-
-        Возвращает True, если режим изменился (и FFT-буфер был сброшен).
-        """
-        m = str(mode).strip().lower()
-        if m not in ("arccos", "diff"):
-            raise ValueError(f"Unsupported IFFT complex mode: {mode!r}")
-        if m == self.fft_complex_mode:
-            return False
-        self.fft_complex_mode = m
-        # Сбрасываем только FFT-зависимые структуры. Сырые ряды сохраняем.
-        self.ring_fft = None
-        self.fft_depth_axis_m = None
-        self.fft_bins = 0
-        self.last_fft_vals = None
-        self.y_min_fft = None
-        self.y_max_fft = None
-        return True
-
-    def ensure_init(self, sweep_width: int):
-        """Инициализировать буферы при первом свипе. Повторные вызовы — no-op (кроме x_shared)."""
-        if self.ring is None:
-            self.width = WF_WIDTH
-            self.ring = np.full((self.max_sweeps, self.width), np.nan, dtype=np.float32)
-            self.ring_time = np.full((self.max_sweeps,), np.nan, dtype=np.float64)
-            self.head = 0
-        # Обновляем x_shared если пришёл свип большего размера
-        if self.x_shared is None or sweep_width > self.x_shared.size:
-            self.x_shared = np.linspace(FREQ_MIN_GHZ, FREQ_MAX_GHZ, sweep_width, dtype=np.float32)
-
-    def push(self, s: np.ndarray):
-        """Добавить строку свипа в кольцевой буфер, вычислить FFT-строку."""
-        if s is None or s.size == 0 or self.ring is None:
-            return
-        w = self.ring.shape[1]
-        row = np.full((w,), np.nan, dtype=np.float32)
-        take = min(w, s.size)
-        row[:take] = s[:take]
-        self.ring[self.head, :] = row
-        self.ring_time[self.head] = time.time()
-        self.head = (self.head + 1) % self.ring.shape[0]
-
-        self._push_fft(s)
-
-    def _push_fft(self, s: np.ndarray):
-        depth_axis_m, fft_row = compute_ifft_profile_from_sweep(
-            s,
-            complex_mode=self.fft_complex_mode,
-        )
-        fft_row = np.asarray(fft_row, dtype=np.float32).ravel()
-        depth_axis_m = np.asarray(depth_axis_m, dtype=np.float32).ravel()
-
-        n = min(int(fft_row.size), int(depth_axis_m.size))
-        if n <= 0:
-            return
-        if n != fft_row.size:
-            fft_row = fft_row[:n]
-        if n != depth_axis_m.size:
-            depth_axis_m = depth_axis_m[:n]
-
-        # Для отображения храним только первую половину IFFT-профиля:
-        # вторая половина для текущей схемы симметрична и визуально избыточна.
-        n_keep = max(1, (n + 1) // 2)
-        fft_row = fft_row[:n_keep]
-        depth_axis_m = depth_axis_m[:n_keep]
-        n = n_keep
-
-        needs_reset = (
-            self.ring_fft is None
-            or self.fft_depth_axis_m is None
-            or self.fft_bins != n
-            or self.ring_fft.shape != (self.max_sweeps, n)
-            or self.fft_depth_axis_m.size != n
-        )
-        if (not needs_reset) and n > 0:
-            prev_axis = self.fft_depth_axis_m
-            assert prev_axis is not None
-            if prev_axis.size != n:
-                needs_reset = True
-            else:
-                # Если ось изменилась (например, изменилась длина/частотная сетка), сбрасываем FFT-водопад.
-                if not np.allclose(prev_axis[[0, -1]], depth_axis_m[[0, -1]], rtol=1e-6, atol=1e-9):
-                    needs_reset = True
-
-        if needs_reset:
-            self.fft_bins = n
-            self.ring_fft = np.full((self.max_sweeps, n), np.nan, dtype=np.float32)
-            self.fft_depth_axis_m = depth_axis_m.astype(np.float32, copy=True)
-            self.y_min_fft = None
-            self.y_max_fft = None
-
-        assert self.ring_fft is not None
-        prev_head = (self.head - 1) % self.ring_fft.shape[0]
-        self.ring_fft[prev_head, :] = fft_row
-        self.last_fft_vals = fft_row
-
-        fr_min = np.nanmin(fft_row)
-        fr_max = float(np.nanpercentile(fft_row, 90))
-        if self.y_min_fft is None or (not np.isnan(fr_min) and fr_min < self.y_min_fft):
-            self.y_min_fft = float(fr_min)
-        if self.y_max_fft is None or (not np.isnan(fr_max) and fr_max > self.y_max_fft):
-            self.y_max_fft = float(fr_max)
-
-    def get_display_ring(self) -> np.ndarray:
-        """Кольцо в порядке от старого к новому, ось времени по X. Форма: (width, time)."""
-        if self.ring is None:
-            return np.zeros((1, 1), dtype=np.float32)
-        base = self.ring if self.head == 0 else np.roll(self.ring, -self.head, axis=0)
-        return base.T  # (width, time)
-
-    def get_display_ring_fft(self) -> np.ndarray:
-        """FFT-кольцо в порядке от старого к новому. Форма: (bins, time)."""
-        if self.ring_fft is None:
-            return np.zeros((1, 1), dtype=np.float32)
-        base = self.ring_fft if self.head == 0 else np.roll(self.ring_fft, -self.head, axis=0)
-        return base.T  # (bins, time)
-
-    def get_display_times(self) -> Optional[np.ndarray]:
-        """Временные метки строк в порядке от старого к новому."""
-        if self.ring_time is None:
-            return None
-        return self.ring_time if self.head == 0 else np.roll(self.ring_time, -self.head)
-
-    def subtract_recent_mean_fft(
-        self, disp_fft: np.ndarray, spec_mean_sec: float
-    ) -> np.ndarray:
-        """Вычесть среднее по каждой частоте за последние spec_mean_sec секунд."""
-        if spec_mean_sec <= 0.0:
-            return disp_fft
-        disp_times = self.get_display_times()
-        if disp_times is None:
-            return disp_fft
-        now_t = time.time()
-        mask = np.isfinite(disp_times) & (disp_times >= (now_t - spec_mean_sec))
-        if not np.any(mask):
-            return disp_fft
-        try:
-            mean_spec = np.nanmean(disp_fft[:, mask], axis=1)
-        except Exception:
-            return disp_fft
-        mean_spec = np.nan_to_num(mean_spec, nan=0.0)
-        return disp_fft - mean_spec[:, None]
-
-    def compute_fft_levels(
-        self, disp_fft: np.ndarray, spec_clip: Optional[Tuple[float, float]]
-    ) -> Optional[Tuple[float, float]]:
-        """Вычислить (vmin, vmax) для отображения водопада спектров."""
-        # 1. По среднему спектру за видимое время
-        try:
-            mean_spec = np.nanmean(disp_fft, axis=1)
-            vmin_v = float(np.nanmin(mean_spec))
-            vmax_v = float(np.nanmax(mean_spec))
-            if np.isfinite(vmin_v) and np.isfinite(vmax_v) and vmin_v != vmax_v:
-                return (vmin_v, vmax_v)
-        except Exception:
-            pass
-
-        # 2. Процентильная обрезка
-        if spec_clip is not None:
-            try:
-                vmin_v = float(np.nanpercentile(disp_fft, spec_clip[0]))
-                vmax_v = float(np.nanpercentile(disp_fft, spec_clip[1]))
-                if np.isfinite(vmin_v) and np.isfinite(vmax_v) and vmin_v != vmax_v:
-                    return (vmin_v, vmax_v)
-            except Exception:
-                pass
-
-        # 3. Глобальные накопленные мин/макс
-        if (
-            self.y_min_fft is not None
-            and self.y_max_fft is not None
-            and np.isfinite(self.y_min_fft)
-            and np.isfinite(self.y_max_fft)
-            and self.y_min_fft != self.y_max_fft
-        ):
-            return (self.y_min_fft, self.y_max_fft)
-
-        return None

rfg_adc_plotter/types.py

@@ -1,7 +0,0 @@
-from typing import Any, Dict, Tuple, Union
-
-import numpy as np
-
-Number = Union[int, float]
-SweepInfo = Dict[str, Any]
-SweepPacket = Tuple[np.ndarray, SweepInfo]

run_dataplotter

@@ -1,2 +0,0 @@
-#!/usr/bin/bash
-python3 -m rfg_adc_plotter.main --bin --backend mpl $@

tests/test_capture_reference_loader.py

@@ -1,84 +0,0 @@
-from pathlib import Path
-
-import numpy as np
-
-from rfg_adc_plotter.io.capture_reference_loader import (
-    aggregate_capture_reference,
-    detect_reference_file_format,
-    load_capture_sweeps,
-)
-from rfg_adc_plotter.processing.pipeline import SweepPreprocessor
-
-
-ROOT = Path(__file__).resolve().parents[1]
-SAMPLE_BG = ROOT / "sample_data" / "empty"
-SAMPLE_CALIB = ROOT / "sample_data" / "no_antennas_35dB_attenuators"
-
-
-def test_detect_reference_file_format_for_sample_capture():
-    assert detect_reference_file_format(str(SAMPLE_BG)) == "bin_capture"
-    assert detect_reference_file_format(str(SAMPLE_CALIB)) == "bin_capture"
-
-
-def test_load_capture_sweeps_parses_binary_capture():
-    sweeps = load_capture_sweeps(str(SAMPLE_BG), fancy=False, logscale=False)
-    assert len(sweeps) > 100
-    sweep0, info0 = sweeps[0]
-    assert isinstance(sweep0, np.ndarray)
-    assert "ch" in info0
-    channels = set()
-    for _s, info in sweeps:
-        chs = info.get("chs", [info.get("ch", 0)])
-        channels.update(int(v) for v in chs)
-    assert channels == {0}
-
-
-def test_aggregate_capture_reference_filters_incomplete_sweeps():
-    sweeps = load_capture_sweeps(str(SAMPLE_BG), fancy=False, logscale=False)
-    vector, summary = aggregate_capture_reference(sweeps, channel=0, method="median", path=str(SAMPLE_BG))
-    assert isinstance(vector, np.ndarray)
-    assert vector.dtype == np.float32
-    assert summary.sweeps_total == len(sweeps)
-    assert summary.sweeps_valid > 0
-    assert summary.sweeps_valid < summary.sweeps_total
-    assert summary.dominant_width in (759, 758)  # sample_data starts at x=1..758 => width=759
-
-
-def test_preprocessor_can_load_capture_calib_and_background_and_apply():
-    p = SweepPreprocessor(norm_type="projector", auto_save_live_calib_envelope=False)
-    p.set_capture_parse_options(fancy=False, logscale=False)
-
-    assert p.load_calib_reference(str(SAMPLE_CALIB))
-    p.set_calib_mode("file")
-    p.set_calib_enabled(True)
-    assert p.calib_file_envelope is not None
-    assert p.calib_external_source_type == "capture"
-
-    assert p.load_background_reference(str(SAMPLE_BG))
-    p.set_background_enabled(True)
-    assert p.background_source_type == "capture_raw"
-
-    n = min(758, int(p.calib_file_envelope.size))
-    sweep = np.linspace(-100.0, 100.0, n, dtype=np.float32)
-    res = p.process(sweep, channel=1, update_references=False)
-    assert res.calibration_applied is True
-    assert res.background_applied is True
-    assert res.calibration_source == "capture"
-    assert "background_capture(raw->calib)" in res.stage_trace
-
-
-def test_preprocessor_applies_background_for_ch0_reference_too():
-    p = SweepPreprocessor(norm_type="projector", auto_save_live_calib_envelope=False)
-    p.set_capture_parse_options(fancy=False, logscale=False)
-    assert p.load_background_reference(str(SAMPLE_BG))
-    p.set_background_enabled(True)
-
-    n = min(758, int(p.background.size)) if p.background is not None else 758
-    raw = np.linspace(-10.0, 10.0, n, dtype=np.float32)
-    res = p.process(raw, channel=0, update_references=True)
-
-    assert res.is_calibration_reference is True
-    assert res.background_applied is True
-    assert np.any(np.abs(res.processed_sweep - raw) > 0)
-    assert p.last_calib_sweep is not None
-    assert np.allclose(p.last_calib_sweep[:n], raw[:n], equal_nan=True)

tests/test_fourier_complex_modes.py

@@ -1,54 +0,0 @@
-import numpy as np
-
-from rfg_adc_plotter.processing.fourier import (
-    compute_ifft_profile_from_sweep,
-    reconstruct_complex_spectrum_from_real_trace,
-)
-
-
-def test_reconstruct_complex_spectrum_arccos_mode_returns_complex128():
-    sweep = np.linspace(-3.0, 7.0, 128, dtype=np.float32)
-    z = reconstruct_complex_spectrum_from_real_trace(sweep, complex_mode="arccos")
-    assert z.dtype == np.complex128
-    assert z.shape == sweep.shape
-    assert np.all(np.isfinite(np.real(z)))
-    assert np.all(np.isfinite(np.imag(z)))
-
-
-def test_reconstruct_complex_spectrum_diff_mode_returns_complex128():
-    sweep = np.linspace(-1.0, 1.0, 128, dtype=np.float32)
-    z = reconstruct_complex_spectrum_from_real_trace(sweep, complex_mode="diff")
-    assert z.dtype == np.complex128
-    assert z.shape == sweep.shape
-    assert np.all(np.isfinite(np.real(z)))
-    assert np.all(np.isfinite(np.imag(z)))
-
-
-def test_reconstruct_complex_spectrum_diff_mode_projects_to_unit_circle():
-    sweep = np.sin(np.linspace(0.0, 6.0 * np.pi, 256)).astype(np.float32)
-    z = reconstruct_complex_spectrum_from_real_trace(sweep, complex_mode="diff")
-    mag = np.abs(z)
-    assert np.all(np.isfinite(mag))
-    assert np.allclose(mag, np.ones_like(mag), atol=1e-5, rtol=0.0)
-
-
-def test_compute_ifft_profile_from_sweep_accepts_both_modes():
-    sweep = np.linspace(-5.0, 5.0, 257, dtype=np.float32)
-    d1, y1 = compute_ifft_profile_from_sweep(sweep, complex_mode="arccos")
-    d2, y2 = compute_ifft_profile_from_sweep(sweep, complex_mode="diff")
-
-    assert d1.dtype == np.float32 and y1.dtype == np.float32
-    assert d2.dtype == np.float32 and y2.dtype == np.float32
-    assert d1.size == y1.size and d2.size == y2.size
-    assert d1.size > 0 and d2.size > 0
-    assert np.all(np.diff(d1) >= 0.0)
-    assert np.all(np.diff(d2) >= 0.0)
-
-
-def test_invalid_complex_mode_falls_back_deterministically_in_outer_wrapper():
-    sweep = np.linspace(-1.0, 1.0, 64, dtype=np.float32)
-    depth, y = compute_ifft_profile_from_sweep(sweep, complex_mode="unknown")
-    assert depth.dtype == np.float32
-    assert y.dtype == np.float32
-    assert depth.size == y.size
-    assert depth.size > 0

tests/test_fourier_phase_reconstruction.py

@@ -1,75 +0,0 @@
-import numpy as np
-
-from rfg_adc_plotter.processing.fourier import (
-    build_frequency_axis_hz,
-    compute_ifft_profile_from_sweep,
-    normalize_sweep_for_phase,
-    perform_ifft_depth_response,
-    reconstruct_complex_spectrum_from_real_trace,
-    unwrap_arccos_phase_continuous,
-)
-
-
-def test_normalize_sweep_for_phase_max_abs_and_finite():
-    sweep = np.array([np.nan, -10.0, 5.0, 20.0, -40.0, np.inf, -np.inf], dtype=np.float32)
-    x = normalize_sweep_for_phase(sweep)
-    assert x.dtype == np.float64
-    assert np.all(np.isfinite(x))
-    assert np.max(np.abs(x)) <= 1.0 + 1e-12
-
-
-def test_arccos_unwrap_continuous_recovers_complex_phase_without_large_jumps():
-    phi_true = np.linspace(0.0, 4.0 * np.pi, 1000, dtype=np.float64)
-    x = np.cos(phi_true)
-
-    phi_rec = unwrap_arccos_phase_continuous(x)
-    assert phi_rec.shape == phi_true.shape
-    assert np.max(np.abs(np.diff(phi_rec))) < 0.2
-
-    z_true = np.exp(1j * phi_true)
-    z_rec = np.exp(1j * phi_rec)
-    assert np.allclose(z_rec, z_true, atol=2e-2, rtol=0.0)
-
-
-def test_reconstruct_complex_spectrum_from_real_trace_output_complex128():
-    sweep = np.linspace(-1.0, 1.0, 64, dtype=np.float32)
-    z = reconstruct_complex_spectrum_from_real_trace(sweep)
-    assert z.dtype == np.complex128
-    assert z.shape == sweep.shape
-    assert np.all(np.isfinite(np.real(z)))
-    assert np.all(np.isfinite(np.imag(z)))
-
-
-def test_perform_ifft_depth_response_basic_abs():
-    n = 128
-    freqs = build_frequency_axis_hz(n)
-    s = np.exp(1j * np.linspace(0.0, 2.0 * np.pi, n, dtype=np.float64))
-
-    depth_m, y = perform_ifft_depth_response(s, freqs, axis="abs")
-
-    assert depth_m.dtype == np.float32
-    assert y.dtype == np.float32
-    assert depth_m.ndim == 1 and y.ndim == 1
-    assert depth_m.size == y.size
-    assert depth_m.size >= n
-    assert np.all(np.diff(depth_m) >= 0.0)
-    assert np.all(y >= 0.0)
-
-
-def test_perform_ifft_depth_response_bad_grid_returns_fallback_not_exception():
-    s = np.ones(16, dtype=np.complex128)
-    freqs_desc = np.linspace(10.0, 1.0, 16, dtype=np.float64)
-    depth_m, y = perform_ifft_depth_response(s, freqs_desc, axis="abs")
-    assert depth_m.size == y.size
-    assert depth_m.size == s.size
-    assert np.all(np.isfinite(depth_m))
-
-
-def test_compute_ifft_profile_from_sweep_returns_depth_and_linear_abs():
-    sweep = np.linspace(-5.0, 7.0, 257, dtype=np.float32)
-    depth_m, y = compute_ifft_profile_from_sweep(sweep)
-    assert depth_m.dtype == np.float32
-    assert y.dtype == np.float32
-    assert depth_m.size == y.size
-    assert depth_m.size > 0
-    assert np.all(np.diff(depth_m) >= 0.0)

tests/test_ring_buffer_fft_axis.py

@@ -1,65 +0,0 @@
-import numpy as np
-
-from rfg_adc_plotter.state.ring_buffer import RingBuffer
-
-
-def test_ring_buffer_allocates_fft_buffers_from_first_push():
-    ring = RingBuffer(max_sweeps=4)
-    ring.ensure_init(64)
-
-    sweep = np.linspace(-1.0, 1.0, 64, dtype=np.float32)
-    ring.push(sweep)
-
-    assert ring.ring_fft is not None
-    assert ring.fft_depth_axis_m is not None
-    assert ring.last_fft_vals is not None
-    assert ring.fft_bins == ring.ring_fft.shape[1]
-    assert ring.fft_bins == ring.fft_depth_axis_m.size
-    assert ring.fft_bins == ring.last_fft_vals.size
-    # Legacy alias kept for compatibility with existing GUI code paths.
-    assert ring.fft_time_axis is ring.fft_depth_axis_m
-
-
-def test_ring_buffer_reallocates_fft_buffers_when_ifft_length_changes():
-    ring = RingBuffer(max_sweeps=4)
-    ring.ensure_init(512)
-
-    ring.push(np.linspace(-1.0, 1.0, 64, dtype=np.float32))
-    first_bins = ring.fft_bins
-    first_shape = None if ring.ring_fft is None else ring.ring_fft.shape
-
-    ring.push(np.linspace(-1.0, 1.0, 512, dtype=np.float32))
-    second_bins = ring.fft_bins
-    second_shape = None if ring.ring_fft is None else ring.ring_fft.shape
-
-    assert ring.ring is not None  # raw ring сохраняется
-    assert first_shape is not None and second_shape is not None
-    assert first_bins != second_bins
-    assert second_shape == (ring.max_sweeps, second_bins)
-    assert ring.fft_depth_axis_m is not None
-    assert ring.fft_depth_axis_m.size == second_bins
-
-
-def test_ring_buffer_mode_switch_resets_fft_buffers_only():
-    ring = RingBuffer(max_sweeps=4)
-    ring.ensure_init(128)
-
-    ring.push(np.linspace(-1.0, 1.0, 128, dtype=np.float32))
-    assert ring.ring is not None
-    assert ring.ring_fft is not None
-    raw_before = ring.ring.copy()
-
-    changed = ring.set_fft_complex_mode("diff")
-    assert changed is True
-    assert ring.fft_complex_mode == "diff"
-    assert ring.ring is not None
-    assert np.array_equal(ring.ring, raw_before, equal_nan=True)
-    assert ring.ring_fft is None
-    assert ring.fft_depth_axis_m is None
-    assert ring.last_fft_vals is None
-    assert ring.fft_bins == 0
-
-    ring.push(np.linspace(-1.0, 1.0, 128, dtype=np.float32))
-    assert ring.ring_fft is not None
-    assert ring.fft_depth_axis_m is not None
-    assert ring.last_fft_vals is not None