Add min peak frequency floor (CACH v4) and Batch Export View as Images
Two strands of in-progress work, committed together because they overlap in sras_workers.py and main_window.py. Min peak frequency floor: - CACH tail bumped to version 4, adding u32 min_freq_khz provenance in fixed-point kHz (a float32 20.1 reads back as 20.10000038 and would report a spurious mismatch forever). v1-v3 tails read as no floor. - Stored FFT caches are accepted when the reader's floor is at or above the stored one, since a higher floor is re-applicable by masking. - Floor plumbed through compute_rf_image, BatchCacheWorker and the viewer. Batch Export View as Images: - New sras_render.py holds draw_view_image, shared by the Qt canvas and the headless exporter so a PNG cannot drift from what the GUI shows. Deliberately Qt-free so it is importable in a pool subprocess. - BatchExportImagesWorker renders the current view settings across many files, process-pooled with an inline fallback, reporting per-file output names so the caller can flag same-stem collisions. - _axes_extent extracted into sras_format for both render paths. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
Thomas Ales [M S E]
+202
-62
@@ -1,6 +1,7 @@
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"""The SrasViewerWindow main window and application entry point."""
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import sys
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from collections import Counter
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from pathlib import Path
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import numpy as np
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@@ -23,7 +24,8 @@ from sras_format import (
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_FALLBACK_YMULT_MV, _FALLBACK_YOFF_ADC,
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)
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from sras_workers import (
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BatchCacheWorker, ComputeWorker, DcPrecomputeWorker, LoadWorker,
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BatchCacheWorker, BatchExportImagesWorker, ComputeWorker,
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DcPrecomputeWorker, LoadWorker,
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)
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from .canvases import ImageCanvas, WaveformCanvas
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@@ -92,13 +94,13 @@ class SrasViewerWindow(QMainWindow):
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# computed lazily (with a progress popup) the first time an
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# angle/threshold combination is viewed — using the cached DC4
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# image to skip the FFT entirely for masked-out pixels — and
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# cached per (angle, threshold) so revisiting the same combination
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# is free. bg-sub/pad are deliberately not part of the key: once an
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# angle has any FFT image (live or from the file's own stored
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# cache), it stays displayed regardless of those controls — see
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# _fft_cache_key.
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# cached per (angle, threshold, min peak freq) so revisiting the
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# same combination is free. bg-sub/pad are deliberately not part of
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# the key: once an angle has any FFT image (live or from the file's
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# own stored cache), it stays displayed regardless of those
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# controls — see _fft_cache_key.
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self._dc_cache: dict[tuple[int, int], np.ndarray] = {}
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self._fft_cache: dict[tuple[int, float], np.ndarray] = {}
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self._fft_cache: dict[tuple[int, float, float], np.ndarray] = {}
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self._dc_generation: int = 0
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# Angle alignment ("Fusion" menu)
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@@ -287,9 +289,12 @@ class SrasViewerWindow(QMainWindow):
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"is real, valid data. Raising this floor above that skirt forces\n"
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"the search to report the strongest peak that is plausibly real\n"
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"signal instead.\n"
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"Only affects a fresh/live compute — it cannot change an image\n"
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"already shown, or one already stored in this file's own cache\n"
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"(use Batch Compute to regenerate those)."
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"Raising the floor also re-masks images already shown or stored\n"
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"in this file's cache: pixels whose stored peak falls below it\n"
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"display as invalid. Lowering it below a stored cache's own\n"
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"floor needs a recompute (bins below that floor were never\n"
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"searched). Batch Compute FFT records the floor in the file and\n"
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"re-resolves masked pixels to their true above-floor peak."
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)
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self.spin_min_freq_mhz.editingFinished.connect(self._on_min_freq_changed)
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min_freq_form.addRow("Min peak freq:", self.spin_min_freq_mhz)
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@@ -518,6 +523,20 @@ class SrasViewerWindow(QMainWindow):
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self._batch_fft_rowavg_act.triggered.connect(self._on_batch_compute_row_avg)
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convert_menu.addAction(self._batch_fft_rowavg_act)
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convert_menu.addSeparator()
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self._batch_export_images_act = QAction(
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"Batch Export View as &Images…", self)
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self._batch_export_images_act.setStatusTip(
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"Select .sras files and export the currently selected view "
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"(channel, angle, threshold, colormap, etc.) as one PNG per "
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"file, rendered the same way it is shown on screen. Read-only "
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"— never modifies the source files. Aligned View is ignored "
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"even if enabled, since an alignment result belongs to one "
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"specific file's geometry.")
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self._batch_export_images_act.triggered.connect(
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self._on_batch_export_images)
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convert_menu.addAction(self._batch_export_images_act)
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# ------------------------------------------------------------------
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# Drag-and-drop
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# ------------------------------------------------------------------
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@@ -661,10 +680,13 @@ class SrasViewerWindow(QMainWindow):
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if s.precomputed_row_avg_n else "")
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pad_note = (f", pad {s.precomputed_pad_factor}x"
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if s.precomputed_pad_factor > 1 else "")
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floor_note = (f", floor ≥ {s.precomputed_min_freq_mhz:g} MHz"
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if s.precomputed_min_freq_mhz > 0 else "")
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notes.append(
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f"Cached images: DC {n_dc}/{s.n_angles} angles, "
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f"FFT {n_fft}/{s.n_angles} angles{bg_note if n_fft else ''}"
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f"{avg_note if n_fft else ''}{pad_note if n_fft else ''} "
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f"{avg_note if n_fft else ''}{pad_note if n_fft else ''}"
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f"{floor_note if n_fft else ''} "
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"— display is instant for cached angles")
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notes += self._cache_mismatch_notes()
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elif s.version == 7:
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@@ -673,17 +695,24 @@ class SrasViewerWindow(QMainWindow):
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def _cache_mismatch_notes(self) -> list[str]:
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"""Informational only: whether the file's stored FFT cache was
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computed under different bg-sub/pad settings than these controls
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currently say. The display always shows the stored image as-is
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regardless (see _stored_fft_image) — these controls only affect a
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future live compute for an angle with nothing cached yet, or an
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explicit batch recompute, never what's already on screen.
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computed under different bg-sub/pad/min-freq settings than these
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controls currently say. The display always shows the stored image
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(re-masked for a raised floor) regardless — see _stored_fft_image;
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these controls only affect a future live compute for an angle with
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nothing cached yet, or an explicit batch recompute, never what's
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already on screen.
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row_avg_n is compared against the file's own recorded value (a
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self-match), so it never contributes a reason here — there's no
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live control for it to diverge from, and the "Cached images" line
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above already reports it.
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The min peak frequency floor gets two directions: a live floor
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*below* the stored one is a genuine mismatch reason (the stored
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search never looked below its floor), while a live floor *above*
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the stored one is servable — pixels under it are shown as masked —
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so that direction gets its own softer note.
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Asks compute for the reasons rather than restating the accept rule,
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so a new provenance field can only be added in one place.
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"""
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@@ -691,15 +720,26 @@ class SrasViewerWindow(QMainWindow):
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if s is None or all(x is None for x in s.precomputed_freq_mhz):
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return []
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live_floor = self.spin_min_freq_mhz.value()
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notes = []
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reasons = compute.cache_mismatch_reasons(
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s, n_fft=self._current_n_fft(),
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apply_bg_sub=self.chk_bg_sub.isChecked(),
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row_avg_n=s.precomputed_row_avg_n)
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if not reasons:
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return []
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return ["Note: current bg-sub/pad controls differ from the stored "
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"cache — " + "; ".join(reasons) + ". Shown as stored; use "
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"Batch Compute to recompute with these settings."]
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row_avg_n=s.precomputed_row_avg_n,
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min_freq_mhz=live_floor)
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if reasons:
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notes.append(
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"Note: current bg-sub/pad/min-freq controls differ from the "
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"stored cache — " + "; ".join(reasons) + ". Shown as stored; "
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"use Batch Compute to recompute with these settings.")
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if round(live_floor * 1000) > round(s.precomputed_min_freq_mhz * 1000):
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notes.append(
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f"Note: Min peak freq ({live_floor:g} MHz) is above the "
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f"stored cache's floor ({s.precomputed_min_freq_mhz:g} MHz) — "
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f"stored pixels whose peak falls below {live_floor:g} MHz are "
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"shown as masked; Batch Compute FFT re-resolves them above "
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"the floor instead.")
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return notes
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# ------------------------------------------------------------------
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# Controls
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@@ -774,11 +814,13 @@ class SrasViewerWindow(QMainWindow):
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self._refresh_display()
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def _on_min_freq_changed(self):
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# Like the DC threshold, this changes what the FFT itself produces —
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# a genuine cache-key change — but unlike the threshold it can't be
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# re-applied to an already-computed image; it only takes effect on a
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# fresh compute (see _fft_cache_key / compute_rf_image's docstring).
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# Like the DC threshold, this is a genuine cache-key change that can
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# be cheaply re-applied to a stored image — tighten-only: raising the
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# floor masks stored pixels below it, while lowering it below the
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# stored cache's own floor can only be answered by a fresh compute
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# (see cached_rf_image / cache_mismatch_reasons).
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if self._is_fft_mode():
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self._update_scan_info_labels()
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self._refresh_display()
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def _on_autoscale_toggled(self, checked: bool):
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@@ -1072,11 +1114,10 @@ class SrasViewerWindow(QMainWindow):
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image for that angle regardless of later bg-sub/pad toggles; those
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only affect a future live compute for an angle with nothing cached
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yet, or an explicit batch recompute (see _stored_fft_image).
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Threshold and min-freq stay in the key so revisiting a combination
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already computed this session is instant — even though only
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threshold can be cheaply re-applied to a stored image; a min-freq
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change against a stored image still falls through to
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_stored_fft_image, which ignores it (see _on_min_freq_changed)."""
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Threshold and min-freq are both in the key because both are cheaply
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re-applied when a stored image is served (_stored_fft_image takes
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them live), so the cached value genuinely reflects every component
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of its key and revisiting a combination is instant."""
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return (angle_idx, self.spin_threshold_mv.value(),
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self.spin_min_freq_mhz.value())
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@@ -1155,10 +1196,13 @@ class SrasViewerWindow(QMainWindow):
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controls never gate whether it's used, only what a *future* compute
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produces. See _cache_mismatch_notes for the informational (non-
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blocking) note when the live controls diverge from what's shown.
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Only the DC threshold is taken live: re-masking a stored image
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against it is free, unlike bg-sub/pad/row-averaging — or the min
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peak frequency floor — which are baked irreversibly into the stored
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numbers.
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The DC threshold and the min peak frequency floor are taken live:
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re-masking a stored image against either is free, unlike
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bg-sub/pad/row-averaging, which are baked irreversibly into the
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stored numbers. The floor is tighten-only, though — a live floor
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*below* the stored cache's own floor is the one case where a stored
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image genuinely can't answer (cached_rf_image refuses it), and the
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caller falls through to a real compute.
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allow_dc_recompute=False keeps this off the I/O path: if the mask
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would mean reading a whole CH4 channel, this declines and the caller
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@@ -1175,7 +1219,8 @@ class SrasViewerWindow(QMainWindow):
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n_fft=n_fft,
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row_avg_n=s.precomputed_row_avg_n,
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dc4_mv=self._dc_cache.get((angle_idx, CH4_IDX)),
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allow_dc_recompute=False)
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allow_dc_recompute=False,
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min_freq_mhz=self.spin_min_freq_mhz.value())
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def _cached_value_image(self, angle_idx: int, ch_idx: int) -> np.ndarray | None:
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"""The already-available (no compute) image for (angle, channel):
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@@ -1289,22 +1334,27 @@ class SrasViewerWindow(QMainWindow):
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dy = float(y_axis[1] - y_axis[0]) if len(y_axis) > 1 else 1.0
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extent = _axes_extent(x_axis, y_axis, dx, dy)
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# Masked-out (below-threshold) pixels are stored as a plain 0, the
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# same value a real but low-frequency pixel can legitimately have -
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# the two are indistinguishable once both land near the bottom of a
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# linear colormap. Pull masked pixels out to NaN (drawn in a
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# distinct highlight color, excluded from the auto-scale range) so a
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# real low-frequency pixel keeps its own true shade instead of
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# disappearing into the same black as "no data".
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# Masked-out pixels are stored as a plain 0, the same value near
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# the bottom of a linear colormap as a real low-frequency pixel -
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# the two are indistinguishable there. Pull masked pixels out to
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# NaN (drawn in a distinct highlight color, excluded from the
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# auto-scale range) so a real pixel keeps its own true shade
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# instead of disappearing into the same black as "no data". In an
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# FFT-derived mode a value of exactly 0 is itself the "no valid
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# peak" sentinel (DC-masked, below the min-freq floor, or an empty
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# spectrum — bin 0 is always excluded, so no genuine peak is ever
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# 0), so those pixels are masked by value too; that covers
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# floor-masked pixels even when no DC4 image is cached yet.
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highlight_masked = (ch_idx in CH1_DERIVED_MODES
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and self.chk_highlight_masked.isChecked())
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mask_valid = (self._dc_validity_mask(angle_idx, aligned)
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if highlight_masked else None)
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if mask_valid is not None and mask_valid.shape == display_img.shape:
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if highlight_masked:
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mask_valid = self._dc_validity_mask(angle_idx, aligned)
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if mask_valid is not None and mask_valid.shape != display_img.shape:
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mask_valid = None
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display_img = display_img.astype(np.float32, copy=True)
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display_img[~mask_valid] = np.nan
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else:
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mask_valid = None
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if mask_valid is not None:
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display_img[~mask_valid] = np.nan
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display_img[display_img == 0.0] = np.nan
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if self.chk_auto.isChecked():
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vmin, vmax = float(np.nanmin(display_img)), float(np.nanmax(display_img))
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@@ -1333,7 +1383,7 @@ class SrasViewerWindow(QMainWindow):
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vmin=vmin, vmax=vmax,
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xlabel="X (mm)", ylabel="Y (mm)",
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title=title, colorbar_label=colorbar_label,
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bad_color=_MASKED_HIGHLIGHT_COLOR if mask_valid is not None else None,
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bad_color=_MASKED_HIGHLIGHT_COLOR if highlight_masked else None,
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)
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self.statusBar().showMessage(
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f"{s.path.name} | {ch_label} @ {angle_deg:.1f}° "
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@@ -1493,7 +1543,8 @@ class SrasViewerWindow(QMainWindow):
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if self._current_ch in CH1_DERIVED_MODES:
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self.wave_canvas.show_rf_waveform(
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self._sras, angle_idx, row_idx, frame_idx,
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apply_bg_sub=self.chk_bg_sub.isChecked())
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apply_bg_sub=self.chk_bg_sub.isChecked(),
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min_freq_mhz=self.spin_min_freq_mhz.value())
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else:
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self.wave_canvas.show_dc_waveform(
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self._sras, angle_idx, self._current_ch, row_idx, frame_idx)
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@@ -1545,7 +1596,8 @@ class SrasViewerWindow(QMainWindow):
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# Cache the FFT at the pad the viewer is actually displaying at,
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# otherwise the batch stores images this window can never use.
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worker = BatchCacheWorker(paths, mode, self.chk_bg_sub.isChecked(),
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pad_factor=self._fft_pad_factor)
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pad_factor=self._fft_pad_factor,
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min_freq_mhz=self.spin_min_freq_mhz.value())
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started = self._run_worker(
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Jobs.BATCH, worker,
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connect=(
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@@ -1558,9 +1610,7 @@ class SrasViewerWindow(QMainWindow):
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if not started:
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return # a second trigger snuck in while the file dialog was open
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self._batch_dc_act.setEnabled(False)
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self._batch_fft_act.setEnabled(False)
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self._batch_fft_rowavg_act.setEnabled(False)
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self._set_batch_actions_enabled(False)
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self._show_progress(
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Jobs.BATCH, f"Batch computing {label} for {len(paths)} file(s)…",
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maximum=100)
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@@ -1587,7 +1637,8 @@ class SrasViewerWindow(QMainWindow):
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self._batch_errors = []
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worker = BatchCacheWorker(paths, "fft_rowavg", self.chk_bg_sub.isChecked(),
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dc_threshold_mv=threshold_mv, row_avg_n=n,
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pad_factor=self._fft_pad_factor)
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pad_factor=self._fft_pad_factor,
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min_freq_mhz=self.spin_min_freq_mhz.value())
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started = self._run_worker(
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Jobs.BATCH, worker,
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connect=(
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@@ -1600,9 +1651,7 @@ class SrasViewerWindow(QMainWindow):
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if not started:
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return # a second trigger snuck in while a dialog was open
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self._batch_dc_act.setEnabled(False)
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self._batch_fft_act.setEnabled(False)
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self._batch_fft_rowavg_act.setEnabled(False)
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self._set_batch_actions_enabled(False)
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self._show_progress(
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Jobs.BATCH,
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f"Batch computing row-averaged FFT (n={n}, threshold={threshold_mv:.1f} mV) "
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@@ -1633,9 +1682,100 @@ class SrasViewerWindow(QMainWindow):
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self._load_file(str(self._sras.path))
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def _after_batch(self):
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self._batch_dc_act.setEnabled(True)
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self._batch_fft_act.setEnabled(True)
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self._batch_fft_rowavg_act.setEnabled(True)
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self._set_batch_actions_enabled(True)
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def _set_batch_actions_enabled(self, enabled: bool):
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"""All four Convert-menu batch actions share one Jobs.BATCH slot;
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grey out every sibling while one runs, rather than leaving one
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clickable but silently no-op'd by the busy guard."""
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for act in (self._batch_dc_act, self._batch_fft_act,
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self._batch_fft_rowavg_act, self._batch_export_images_act):
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act.setEnabled(enabled)
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# ------------------------------------------------------------------
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# Batch export view as images
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# ------------------------------------------------------------------
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def _on_batch_export_images(self):
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if self._job_running(Jobs.BATCH):
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return
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paths, _ = QFileDialog.getOpenFileNames(
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self, "Select .sras files to export the current view from", "",
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"SRAS files (*.sras);;All files (*)")
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if not paths:
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return
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out_dir = QFileDialog.getExistingDirectory(
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self, "Select output folder for exported images")
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if not out_dir:
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return
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angle_idx = self.spin_angle.value()
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ch_idx = self.combo_channel.currentIndex()
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is_fft_mode = ch_idx in CH1_DERIVED_MODES
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mode_str, _unit, colorbar_label = _CHANNEL_DISPLAY[ch_idx]
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self._batch_errors = []
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self._batch_export_names = []
|
||||
worker = BatchExportImagesWorker(
|
||||
paths,
|
||||
out_dir=out_dir, angle_idx=angle_idx, ch_idx=ch_idx,
|
||||
is_fft_mode=is_fft_mode, is_velocity=(ch_idx == VELOCITY_MODE_IDX),
|
||||
dc_threshold_mv=self.spin_threshold_mv.value(),
|
||||
apply_bg_sub=self.chk_bg_sub.isChecked(),
|
||||
pad_factor=self._fft_pad_factor,
|
||||
min_freq_mhz=self.spin_min_freq_mhz.value(),
|
||||
grating_um=self.spin_grating_um.value(),
|
||||
cmap=self.combo_cmap.currentText(),
|
||||
auto_scale=self.chk_auto.isChecked(),
|
||||
vmin=self.spin_vmin.value(), vmax=self.spin_vmax.value(),
|
||||
highlight_masked=self.chk_highlight_masked.isChecked(),
|
||||
mode_str=mode_str, colorbar_label=colorbar_label,
|
||||
mask_color=_MASKED_HIGHLIGHT_COLOR,
|
||||
)
|
||||
started = self._run_worker(
|
||||
Jobs.BATCH, worker,
|
||||
connect=(
|
||||
("progress", lambda pct: self._set_progress(Jobs.BATCH, pct)),
|
||||
("file_done", self._on_batch_export_file_done),
|
||||
("finished",
|
||||
lambda p=paths, d=out_dir: self._on_batch_export_finished(p, d)),
|
||||
),
|
||||
on_done=self._after_batch,
|
||||
)
|
||||
if not started:
|
||||
return # a second trigger snuck in while a dialog was open
|
||||
|
||||
self._set_batch_actions_enabled(False)
|
||||
self._show_progress(
|
||||
Jobs.BATCH, f"Exporting images for {len(paths)} file(s)…",
|
||||
maximum=100)
|
||||
|
||||
def _on_batch_export_file_done(self, path: str, err: str, out_name: str):
|
||||
if err:
|
||||
self._batch_errors.append(f"{Path(path).name} — {err}")
|
||||
else:
|
||||
self._batch_export_names.append(out_name)
|
||||
self._show_progress(Jobs.BATCH, f"Exported {Path(path).name}…")
|
||||
|
||||
def _on_batch_export_finished(self, paths: list[str], out_dir: str):
|
||||
self._close_progress(Jobs.BATCH)
|
||||
|
||||
n_total = len(paths)
|
||||
n_failed = len(self._batch_errors)
|
||||
n_ok = n_total - n_failed
|
||||
summary = (f"Batch export: {n_ok}/{n_total} image(s) written to "
|
||||
f"{Path(out_dir).name}")
|
||||
if n_failed:
|
||||
summary += f", {n_failed} failed: {'; '.join(self._batch_errors)}"
|
||||
dupes = sum(1 for _name, count in Counter(self._batch_export_names).items()
|
||||
if count > 1)
|
||||
if dupes:
|
||||
summary += (f" | {dupes} filename collision(s) — later file(s) "
|
||||
"overwrote earlier ones with the same output name")
|
||||
self.statusBar().showMessage(summary)
|
||||
self._batch_errors = []
|
||||
self._batch_export_names = []
|
||||
# No reload: unlike Batch Compute, export never touches the source files.
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Fusion: angle alignment
|
||||
|
||||
Reference in New Issue
Block a user