Share waveform data and plot navigation and retain processing results

python/set_devices/generator_data.py

@@ -0,0 +1,227 @@
+"""Built-in waveforms and CSV input for the point-based signal generator."""
+import csv
+import io
+import math
+import json
+from datetime import datetime
+from set_devices.waveform import Waveform, generate as interpolate, load_recipe as load_interpolated_recipe
+from set_devices.signal_reconstruction import dac12
+
+
+# TIM6 clock of the supported STM32F407 emulator firmware. The device protocol
+# does not currently expose its timer clock; keep this hardware profile explicit.
+F407_TIMER_HZ = 72_000_000
+F407_SAMPLE_RATES = tuple(sorted({
+    rate
+    for divisor in range(1, math.isqrt(F407_TIMER_HZ) + 1)
+    if F407_TIMER_HZ % divisor == 0
+    for rate in (divisor, F407_TIMER_HZ // divisor)
+    if 1 <= rate <= 1_000_000
+}))
+
+
+def nearest_f407_sample_rate(rate):
+    """Nearest integer rate realizable by TIM6; ties prefer the lower rate."""
+    return min(F407_SAMPLE_RATES, key=lambda candidate: (abs(candidate - rate), candidate))
+
+
+def generate(points, sample_rate=1000, vref=3.3, method="pchip", degree=2):
+    if method != "samples":
+        return interpolate(points, sample_rate, vref, method, degree)
+    if type(sample_rate) is not int or not 1 <= sample_rate <= 1000000:
+        raise ValueError("Частота отсчётов должна быть 1…1000000 Гц")
+    if not math.isfinite(vref) or not 0 < vref <= 3.6:
+        raise ValueError("Vref должен быть в диапазоне 0…3,6 В")
+    if not 2 <= len(points) <= 4096:
+        raise ValueError("Нужно 2…4096 отсчётов")
+    if any(not math.isfinite(x) or not math.isfinite(y) or not 0 <= y <= vref for x, y in points):
+        raise ValueError("В точках нужны конечные числа, напряжение 0…Vref")
+    samples = tuple((i * 1000 / sample_rate, y) for i, (_, y) in enumerate(points))
+    return Waveform(samples, dac12([y for _, y in samples], vref), sample_rate, vref,
+                    len(samples) * 1000 / sample_rate)
+
+
+def load_recipe(text):
+    data = json.loads(text)
+    if not isinstance(data, dict) or data.get("method") != "samples":
+        return load_interpolated_recipe(text)
+    if data.get("version") != 1:
+        raise ValueError("Неизвестная версия задания генератора")
+    points = tuple((float(x), float(y)) for x, y in data["points_ms_volts"])
+    wave = generate(points, data["sample_rate"], data["vref"], "samples", data["degree"])
+    return wave.points, data
+
+
+PRESET_NAMES = (
+    "Синусоида", "Треугольник", "Пила вверх", "Пила вниз", "Меандр",
+    "Импульс 10%", "Трапеция", "Ступенчатый", "Выпрямленная синусоида",
+    "Затухающая синусоида",
+)
+
+
+def preset_points(index, vref, count=200):
+    """20 ms period, 200 samples at 10 kHz; finite one-sample pulse edges."""
+    if not 0 <= index < len(PRESET_NAMES):
+        raise ValueError("Неизвестный сигнал")
+    shapes = (
+        lambda t: .5 + .45 * math.sin(2 * math.pi * t),
+        lambda t: .05 + .9 * (1 - abs(2 * t - 1)),
+        lambda t: .05 + .9 * t,
+        lambda t: .95 - .9 * t,
+        lambda t: .95 if t < .5 else .05,
+        lambda t: .95 if .1 <= t < .2 else .05,
+        lambda t: .05 + .9 * max(0, min(1, (t - .1) / .2, (.9 - t) / .2)),
+        lambda t: .05 + .9 * min(4, int(t * 5)) / 4,
+        lambda t: .05 + .9 * abs(math.sin(2 * math.pi * t)),
+        lambda t: .5 + .45 * math.exp(-4 * t) * math.sin(8 * math.pi * t),
+    )
+    points = [(i * 20 / count, vref * shapes[index](i / count)) for i in range(count)]
+    points.append((20., points[0][1]))
+    return points
+
+
+def signal_csv_channels(text):
+    """Named channels in time-domain trend/processing exports."""
+    first = next((line for line in text.lstrip('\ufeff').splitlines() if line.strip()), '')
+    delimiter = ';' if ';' in first else '\t' if '\t' in first else ','
+    header = next(csv.reader([first], delimiter=delimiter), [])
+    normalized = [cell.strip().lower() for cell in header]
+    if normalized in (['time_ms', 'volts'], ['time_ms', 'volts', 'dac12']):
+        return []
+    if header and header[0].strip().lower() in ('timestamp', 'время [мс]', 'time [s]', 'time [ms]', 'time_ms'):
+        return header[1:]
+    return []
+
+
+def _parse_trend_csv(text, channel):
+    first = next(line for line in text.splitlines() if line.strip())
+    delimiter = ';' if ';' in first else '\t' if '\t' in first else ','
+    rows = csv.reader(io.StringIO(text), delimiter=delimiter)
+    header = next(row for row in rows if any(c.strip() for c in row))
+    names = header[1:]
+    if len(set(header)) != len(header):
+        raise ValueError('Повторяющиеся имена каналов CSV')
+    if channel is None:
+        if len(names) != 1:
+            raise ValueError('Выберите один канал CSV: ' + ', '.join(names))
+        channel = names[0]
+    if channel not in names:
+        raise ValueError('Канал CSV не найден: ' + str(channel))
+    column = header.index(channel)
+    kind = header[0].strip().lower()
+    points = []
+    origin = None
+    previous = None
+    for number, row in enumerate(rows, 2):
+        if not any(c.strip() for c in row):
+            continue
+        try:
+            if len(row) != len(header):
+                raise ValueError('число колонок не соответствует заголовку')
+            if kind == 'timestamp':
+                stamp = datetime.fromisoformat(row[0].strip().replace('Z', '+00:00'))
+            else:
+                stamp = float(row[0].strip().replace(',', '.'))
+                if not math.isfinite(stamp):
+                    raise ValueError('время должно быть конечным')
+            if previous is not None and stamp <= previous:
+                raise ValueError('время должно строго возрастать')
+            previous = stamp
+            if not row[column].strip():
+                continue
+            value = float(row[column].strip().replace(',', '.'))
+            if not math.isfinite(value):
+                raise ValueError('значение должно быть конечным')
+            if origin is None:
+                origin = stamp
+            elapsed = ((stamp - origin).total_seconds() * 1000 if kind == 'timestamp'
+                       else (stamp - origin) * (1000 if kind == 'time [s]' else 1))
+            points.append((elapsed, value))
+        except (ValueError, TypeError, OverflowError) as error:
+            raise ValueError(f'Строка {number}: {error}') from error
+    if len(points) < 2:
+        raise ValueError('Выбранный канал должен содержать минимум две точки')
+    return points, None
+
+
+def resample_signal(points, rate):
+    """Fit a long trend to the DAC table using linear interpolation, no endpoint."""
+    count = round(points[-1][0] * rate / 1000)
+    if not 2 <= count <= 4096:
+        raise ValueError('Таблица ЦАП должна содержать 2…4096 отсчётов')
+    result = []
+    index = 0
+    for i in range(count):
+        x = i * 1000 / rate
+        while index + 1 < len(points) - 1 and points[index + 1][0] < x:
+            index += 1
+        x0, y0 = points[index]
+        x1, y1 = points[index + 1]
+        result.append((x, y0 + (y1 - y0) * (x - x0) / (x1 - x0)))
+    return result
+
+
+def parse_signal_csv(text, raw=False, channel=None):
+    """Return points and optional inferred Fs for SETGUI's sampled CSV exports.
+
+    Ordinary CSV: time in ms and volts; last row defines the period.
+    SETGUI export (time_ms,volts,dac12): uniform samples without endpoint.
+    """
+    text = text.lstrip("\ufeff")
+    if signal_csv_channels(text):
+        return _parse_trend_csv(text, channel)
+    first = next((line for line in text.splitlines() if line.strip()), "")
+    delimiter = ";" if ";" in first else "\t" if "\t" in first else ","
+    rows = [(number, row) for number, row in enumerate(
+        csv.reader(io.StringIO(text), delimiter=delimiter), 1) if any(cell.strip() for cell in row)]
+    if not rows:
+        raise ValueError("CSV пуст")
+    def numeric(cell):
+        return float(cell.strip().replace(",", "."))
+    header = [cell.strip().lower() for cell in rows[0][1]]
+    time_names = ("time_ms", "time", "время, мс", "время", "t")
+    volt_names = ("volts", "voltage", "напряжение, в", "напряжение", "v")
+    x_col = next((i for i, cell in enumerate(header) if cell in time_names), None)
+    y_col = next((i for i, cell in enumerate(header) if cell in volt_names), None)
+    sampled_export = x_col is not None and y_col is not None and "dac12" in header
+    if x_col is not None and y_col is not None:
+        rows = rows[1:]
+    else:
+        x_col, y_col = 0, 1
+    if not 2 <= len(rows) <= 4096:
+        raise ValueError("CSV должен содержать от 2 до 4096 строк данных")
+    points = []
+    for number, row in rows:
+        try:
+            x, y = numeric(row[x_col]), numeric(row[y_col])
+        except (ValueError, IndexError) as error:
+            raise ValueError(f"Строка {number}: нужны числовые время в мс и напряжение в В") from error
+        if not math.isfinite(x) or not math.isfinite(y):
+            raise ValueError(f"Строка {number}: значения должны быть конечными")
+        if x < 0 or (points and x <= points[-1][0]):
+            raise ValueError(f"Строка {number}: время должно быть неотрицательным и строго возрастать")
+        points.append((x, y))
+    if points[0][0] != 0:
+        raise ValueError("Первая временная метка должна быть 0 мс")
+    rate = None
+    if sampled_export:
+        step = points[1][0]
+        if step <= 0 or any(not math.isclose(x, i * step, rel_tol=1e-8, abs_tol=1e-9)
+                            for i, (x, _) in enumerate(points)):
+            raise ValueError("В экспортированной таблице отсчёты должны идти с постоянным шагом")
+        rate = round(1000 / step)
+        if not 1 <= rate <= 1000000 or not math.isclose(rate * step, 1000, rel_tol=1e-8):
+            raise ValueError("Частота CSV должна быть целым числом от 1 до 1 000 000 отсчётов/с")
+        if raw:
+            return points, rate
+        points.append((len(points) * 1000 / rate, points[0][1]))
+        # A 4096-sample export needs an endpoint too. Remove only exactly redundant
+        # control points, preserving the sampled linear waveform without resampling.
+        if len(points) > 4096:
+            for i in range(1, len(points) - 1):
+                if math.isclose(points[i][1] * 2, points[i-1][1] + points[i+1][1], abs_tol=1e-12, rel_tol=0):
+                    del points[i]
+                    break
+            else:
+                raise ValueError("Для импорта этой таблицы с конечной точкой нужно более 4096 опорных точек")
+    return points, rate

python/set_devices/qt_ports/plot_navigation.py

@@ -0,0 +1,112 @@
+"""Common keyboard and wheel gestures for all plot canvases (Qt 5/6)."""
+try:
+    from PySide6.QtCore import Qt
+    from PySide6.QtWidgets import QScrollArea
+except ImportError:
+    from PySide2.QtCore import Qt
+    from PySide2.QtWidgets import QScrollArea
+
+NAVIGATION_HINT = ('Колесо и +/− — масштаб X; Ctrl + колесо и Ctrl + +/− — масштаб Y. '
+                   'ЛКМ на свободном поле — перемещение; ←/→ — перемещение по X; Home/End — начало/конец.')
+
+
+class PlotNavigation:
+    def setup_navigation(self):
+        self.setFocusPolicy(Qt.StrongFocus)
+        self.setToolTip(NAVIGATION_HINT)
+
+    def keyPressEvent(self, event):
+        key = event.key()
+        modifiers = event.modifiers()
+        if modifiers & (Qt.AltModifier | Qt.MetaModifier):
+            return super().keyPressEvent(event)
+        if key in (Qt.Key_Plus, Qt.Key_Equal, Qt.Key_Minus):
+            self._navigation_zoom(1.25 if key != Qt.Key_Minus else .8,
+                                  bool(modifiers & Qt.ControlModifier))
+        elif key in (Qt.Key_Left, Qt.Key_Right) and not (modifiers & Qt.ControlModifier):
+            self._navigation_pan(-.1 if key == Qt.Key_Left else .1)
+        elif key in (Qt.Key_Home, Qt.Key_End):
+            self._navigation_edge(key == Qt.Key_End)
+        else:
+            return super().keyPressEvent(event)
+        event.accept()
+
+    def wheelEvent(self, event):
+        position = event.position() if hasattr(event, 'position') else event.posF()
+        rect = self.plot_rect() if hasattr(self, 'plot_rect') else self.rect()
+        if not rect.contains(position.toPoint()):
+            event.ignore()
+            return
+        delta = event.angleDelta()
+        ticks = delta.y() or delta.x()
+        if not ticks:
+            pixels = event.pixelDelta()
+            ticks = (pixels.y() or pixels.x()) * 2
+        if ticks:
+            self.setFocus(Qt.MouseFocusReason)
+            self._navigation_zoom(1.25 ** max(-8, min(8, ticks / 120)),
+                                  bool(event.modifiers() & Qt.ControlModifier), position)
+        event.accept()
+
+
+class ScrollPlotNavigation(PlotNavigation):
+    """Canvas navigation for waveforms whose viewport is a QScrollArea."""
+    def scroll_area(self):
+        parent = self.parentWidget()
+        while parent is not None and not isinstance(parent, QScrollArea):
+            parent = parent.parentWidget()
+        return parent
+
+    def _navigation_zoom(self, factor, vertical, position=None):
+        scroll = self.scroll_area()
+        size = self.height() if vertical else self.width()
+        if position is not None:
+            anchor = position.y() if vertical else position.x()
+        elif scroll is not None:
+            bar = scroll.verticalScrollBar() if vertical else scroll.horizontalScrollBar()
+            anchor = bar.value() + bar.pageStep() / 2
+        else:
+            anchor = size / 2
+        self.zoom_dragged.emit('y' if vertical else 'x', factor, anchor / max(1, size))
+
+    def _navigation_pan(self, fraction):
+        scroll = self.scroll_area()
+        if scroll is not None:
+            bar = scroll.horizontalScrollBar()
+            bar.setValue(round(bar.value() + fraction * bar.pageStep()))
+            self.navigation_panned()
+
+    def _navigation_edge(self, end):
+        scroll = self.scroll_area()
+        if scroll is not None:
+            bar = scroll.horizontalScrollBar()
+            bar.setValue(bar.maximum() if end else bar.minimum())
+            self.navigation_panned()
+
+    def navigation_panned(self):
+        pass
+
+    def begin_pan(self, event):
+        self.setFocus(Qt.MouseFocusReason)
+        self._pan_position = event.globalPosition() if hasattr(event, 'globalPosition') else event.globalPos()
+        self.setCursor(Qt.ClosedHandCursor)
+
+    def move_pan(self, event):
+        previous = getattr(self, '_pan_position', None)
+        if previous is None:
+            return
+        position = event.globalPosition() if hasattr(event, 'globalPosition') else event.globalPos()
+        delta = position - previous
+        self._pan_position = position
+        scroll = self.scroll_area()
+        if scroll is not None:
+            for bar, amount in ((scroll.horizontalScrollBar(), delta.x()), (scroll.verticalScrollBar(), delta.y())):
+                bar.setValue(round(bar.value() - amount))
+            if delta.x():
+                self.navigation_panned()
+
+    def end_pan(self, event):
+        self.move_pan(event)
+        self._pan_position = None
+        self.unsetCursor()
+

python/set_devices/qt_ports/plot_processing.py

@@ -20,16 +20,20 @@ except ImportError:
 from set_devices.signal_reconstruction import METHODS
 from set_devices.plot_processing import Snapshot, prepare, process, write_csv
 
+RESULT_COLORS = ("#FF70D0", "#50D5FF", "#FFD166", "#83E377", "#B99AFF", "#FF9870")
+
 
 class _ResultSignals(QObject):
     done = Signal(object, object, str)
 
 
 class _Calculation(QRunnable):
-    def __init__(self, signature):
+    def __init__(self, signature, parent=None):
         super().__init__()
         self.signature = signature
-        self.signals = _ResultSignals()
+        # Qt owns the emitter on the GUI thread, independently of QRunnable's
+        # auto-deletion by the pool (important for PySide2 wrapper lifetimes).
+        self.signals = _ResultSignals(parent)
 
     def run(self):
         try:
@@ -49,10 +53,14 @@ class SignalProcessingPanel(QWidget):
         self._snapshot = Snapshot()
         self._result = None
         self._result_signature = None
+        self._results = []
+        self._result_ids = {}
+        self._next_result_id = 0
         self._job = None
         self._revision = 0
         self._job_revision = 0
         self.preserve_on_view_change = False
+        self.export_path = lambda filename: filename
         layout = QVBoxLayout(self)
         layout.setContentsMargins(0, 0, 0, 0)
         row = QHBoxLayout()
@@ -81,11 +89,12 @@ class SignalProcessingPanel(QWidget):
         self.apply_button = QPushButton("Рассчитать")
         self.apply_button.clicked.connect(self.calculate)
         row.addWidget(self.apply_button)
-        self.clear_button = QPushButton("Убрать")
+        self.clear_button = QPushButton("Убрать все")
         self.clear_button.clicked.connect(self.clear)
         row.addWidget(self.clear_button)
         self.export_button = QPushButton("Результат CSV…")
         self.export_button.clicked.connect(self.export_csv)
+        self.export_button.setToolTip("Сохранить последний рассчитанный результат")
         row.addWidget(self.export_button)
         row.addStretch(1)
         layout.addLayout(row)
@@ -97,9 +106,9 @@ class SignalProcessingPanel(QWidget):
             "PCHIP — сохранение формы без выбросов. Сплайн — гладкая кривая, возможны выбросы.\n"
             "Восстановление — оценка между измерениями; утраченные детали не определяются однозначно.")
         for widget in (self.channel, self.method):
-            widget.currentIndexChanged.connect(self.clear)
+            widget.currentIndexChanged.connect(self._parameters_changed)
         for widget in (self.degree, self.count):
-            widget.valueChanged.connect(self.clear)
+            widget.valueChanged.connect(self._parameters_changed)
         self._update_actions()
 
     def _signature(self):
@@ -115,8 +124,7 @@ class SignalProcessingPanel(QWidget):
                        self.count.value(), self.degree.value())
 
     def set_snapshot(self, snapshot):
-        previous = ((self._result_signature or (self._job.signature if self._job is not None else None))
-                    if self.preserve_on_view_change else None) or self._signature()
+        previous = self._job.signature if self._job is not None else self._signature()
         was_blocked = bool(self._snapshot.blocked_reason)
         choices = [(signal.key, signal.label) for signal in snapshot.analogs]
         current = [(self.channel.itemData(i), self.channel.itemText(i)) for i in range(self.channel.count())]
@@ -133,9 +141,19 @@ class SignalProcessingPanel(QWidget):
         self._snapshot = snapshot
         if previous != self._current_request_for(previous):
             self._revision += 1
-            if self._result is not None:
-                self._result = self._result_signature = None
-                self.status.setText("Данные или окно изменились — нажмите «Рассчитать» повторно.")
+        retained = []
+        for result in self._results:
+            request = result.request
+            source = replace(snapshot, x_range=request.x_range) if self.preserve_on_view_change else snapshot
+            if prepare(source, request.series.key, request.method, request.output_count, request.degree) == request:
+                retained.append(result)
+        if len(retained) != len(self._results):
+            self._results = retained
+            self._result_ids = {id(curve): self._result_ids[id(curve)] for curve in retained}
+            if not any(curve is self._result for curve in retained):
+                self._result = retained[-1] if retained else None
+            self._result_signature = self._result.request if self._result is not None else None
+            self.status.setText("Данные или окно изменились — нажмите «Рассчитать» повторно.")
         if snapshot.blocked_reason:
             self.status.setText(snapshot.blocked_reason)
         elif not choices:
@@ -155,11 +173,18 @@ class SignalProcessingPanel(QWidget):
 
     def clear(self, *_):
         self._revision += 1
+        self._results.clear()
+        self._result_ids.clear()
         self._result = self._result_signature = None
         self.status.setText("Расчёт по текущему окну. Исходные измерения сохраняются; кривая — оценка между точками.")
         self._update_actions()
         self.changed.emit()
 
+    def _parameters_changed(self, *_):
+        self._revision += 1
+        self.status.setText("Нажмите «Рассчитать», чтобы добавить кривую. Предыдущие результаты сохраняются.")
+        self._update_actions()
+
     def calculate(self):
         if self._job is not None or self._snapshot.blocked_reason:
             return
@@ -167,15 +192,17 @@ class SignalProcessingPanel(QWidget):
         if signature is None or len(signature.series.points) < 2:
             self.status.setText("Нужны минимум две точки аналогового канала.")
             return
-        self._job = _Calculation(signature)
+        self._job = _Calculation(signature, self)
         self._job_revision = self._revision
-        self._job.signals.done.connect(self._finished)
+        self._job.signals.done.connect(self._finished, Qt.QueuedConnection)
         self.status.setText("Расчёт…")
         self._update_actions()
         QThreadPool.globalInstance().start(self._job)
 
     @Slot(object, object, str)
     def _finished(self, signature, result, error):
+        if self._job is not None:
+            self._job.signals.deleteLater()
         self._job = None
         if signature != self._current_request_for(signature) or self._job_revision != self._revision:
             self.status.setText("Данные изменились во время расчёта. Остановите сбор и повторите расчёт.")
@@ -183,19 +210,38 @@ class SignalProcessingPanel(QWidget):
             self.status.setText("Расчёт не выполнен: " + error)
         else:
             self._result, self._result_signature = result, signature
+            # Repeating exactly the same request replaces its identical overlay.
+            existing = next((curve for curve in self._results if curve.request == signature), None)
+            if existing is not None:
+                self._result_ids[id(result)] = self._result_ids.pop(id(existing))
+                self._results[self._results.index(existing)] = result
+            else:
+                self._result_ids[id(result)] = self._next_result_id
+                self._next_result_id += 1
+                self._results.append(result)
             duplicates = result.input_count - result.unique_count
             self.status.setText(
                 f"{self.channel.currentText()}: {result.unique_count} исходных → {len(result.points)} расчётных точек; "
                 f"СКО на измерениях: {result.rmse:.6g}. "
                 + (f"Повторы X усреднены: {duplicates}. " if duplicates else "")
-                + "Розовая линия — расчётная оценка; исходные данные сохранены.")
+                + f"Расчётных кривых: {len(self._results)}. Исходные данные сохранены.")
         self._update_actions()
         self.changed.emit()
 
     def overlay(self):
         if self._result is None or self._snapshot.blocked_reason:
             return [], {}
-        return [(self.RESULT_KEY, self._result.label, False, "#FF70D0", True)], {self.RESULT_KEY: self._result.points}
+        specs, data = [], {}
+        for curve in self.curves:
+            index = self._result_ids[id(curve)]
+            key = self.RESULT_KEY if index == 0 else f"{self.RESULT_KEY}_{index}"
+            specs.append((key, curve.label, False, RESULT_COLORS[index % len(RESULT_COLORS)], True))
+            data[key] = curve.points
+        return specs, data
+
+    @property
+    def curves(self):
+        return tuple(self._results) if not self._snapshot.blocked_reason else ()
 
     @property
     def curve(self):
@@ -204,7 +250,8 @@ class SignalProcessingPanel(QWidget):
     def export_csv(self):
         if self._result is None:
             return
-        path, _ = QFileDialog.getSaveFileName(self, "Сохранить расчётную кривую", "calculated-signal.csv", "CSV (*.csv)")
+        path, _ = QFileDialog.getSaveFileName(self, "Сохранить расчётную кривую",
+                                            self.export_path("calculated-signal.csv"), "CSV (*.csv)")
         if not path:
             return
         try:
@@ -221,10 +268,11 @@ class PlotProcessingAttachment(QObject):
     Paint after raw analog curves with the same rect/projection. No channel or
     history mutation, no dependency on the caller's renderer or acquisition API.
     """
-    def __init__(self, parent, snapshot, repaint):
+    def __init__(self, parent, snapshot, repaint, export_path=None):
         super().__init__(parent)
         self.snapshot = snapshot
         self.repaint = repaint
+        self.export_path = export_path
         self.dialog = None
         self.panel = None
         self._external_curve = None
@@ -250,6 +298,12 @@ class PlotProcessingAttachment(QObject):
         self._external_offset = x_offset
         self.repaint()
 
+    @property
+    def curves(self):
+        if self._external_curve is not None:
+            return (self._external_curve,)
+        return self.panel.curves if self.panel is not None and not self._dirty else ()
+
     def source_changed(self):
         if self.panel is not None:
             self._dirty = True
@@ -267,6 +321,8 @@ class PlotProcessingAttachment(QObject):
             self.dialog.setWindowTitle("Обработка графика")
             layout = QVBoxLayout(self.dialog)
             self.panel = SignalProcessingPanel(self.dialog)
+            if self.export_path is not None:
+                self.panel.export_path = self.export_path
             self.panel.changed.connect(self.repaint)
             layout.addWidget(self.panel)
             self.dialog.resize(760, 240)
@@ -276,18 +332,22 @@ class PlotProcessingAttachment(QObject):
         self.dialog.activateWindow()
 
     def paint(self, painter, rect, project):
-        curve = self.curve
-        if curve is None:
+        curves = self.curves
+        if not curves:
             return
         painter.save()
         painter.setClipRect(rect)
-        path = QPainterPath()
-        for index, (x, y) in enumerate(curve.points):
-            point = project(x - (self._external_offset if self._external_curve is not None else 0), y, rect)
-            path.moveTo(point) if index == 0 else path.lineTo(point)
-        painter.setPen(QPen(QColor("#FF70D0"), 2, Qt.DashLine))
-        painter.setBrush(Qt.NoBrush)
-        painter.drawPath(path)
-        painter.setPen(QColor("#FF70D0"))
-        painter.drawText(QPointF(rect.left() + 6, rect.bottom() - 8), curve.label)
+        for curve_index, curve in enumerate(curves):
+            path = QPainterPath()
+            for index, (x, y) in enumerate(curve.points):
+                point = project(x - (self._external_offset if self._external_curve is not None else 0), y, rect)
+                path.moveTo(point) if index == 0 else path.lineTo(point)
+            color_index = self.panel._result_ids[id(curve)] if self._external_curve is None else 0
+            color = QColor(RESULT_COLORS[color_index % len(RESULT_COLORS)])
+            painter.setPen(QPen(color, 2, Qt.DashLine))
+            painter.setBrush(Qt.NoBrush)
+            painter.drawPath(path)
+            painter.setPen(color)
+            painter.drawText(QPointF(rect.left() + 6,
+                rect.bottom() - 8 - curve_index * painter.fontMetrics().height()), curve.label)
         painter.restore()