#!/usr/bin/env python3 """Headless GUI test: drives SrasViewerWindow through the real Qt widgets, signals and worker threads under the offscreen platform plugin. Covers the interactions a manual smoke test would: load, switch angles and channels, background DC precompute, lazy FFT compute, threshold and bg-sub changes, angle alignment, manual angle alignment, aligned view, ROI draw/move, and CSV export. Usage: QT_QPA_PLATFORM=offscreen python tools/test_gui.py [file.sras] """ import json import os import sys import tempfile from pathlib import Path from unittest.mock import patch os.environ.setdefault("QT_QPA_PLATFORM", "offscreen") import numpy as np # noqa: E402 from PyQt6.QtCore import QEventLoop, Qt, QTimer # noqa: E402 from PyQt6.QtTest import QTest # noqa: E402 from PyQt6.QtWidgets import QApplication, QMessageBox # noqa: E402 sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) import sras_compute as compute # noqa: E402 from sras_format import CH1_IDX, CH3_IDX, CH4_IDX # noqa: E402 from sras_viewer import RoiQuad, SrasViewerWindow, VELOCITY_MODE_IDX # noqa: E402 import tools.make_test_sras as gen # noqa: E402 _failures: list[str] = [] def check(name: str, ok: bool, detail: str = ""): print(f" {'PASS' if ok else 'FAIL'} {name}" + (f" — {detail}" if detail else "")) if not ok: _failures.append(name) def pump(ms: int = 250): """Run the event loop for a while so queued signals and worker threads make progress.""" loop = QEventLoop() QTimer.singleShot(ms, loop.quit) loop.exec() def wait_until(pred, timeout_ms: int = 20000, step: int = 100) -> bool: waited = 0 while waited < timeout_ms: if pred(): return True pump(step) waited += step return pred() def main(): app = QApplication(sys.argv) errors: list[str] = [] tmpdir = Path(tempfile.mkdtemp(prefix="sras_gui_")) path = Path(sys.argv[1]) if len(sys.argv) > 1 else tmpdir / "gui.sras" if len(sys.argv) <= 1: gen.write(path, n_angles=4, seed=11, samples_per_frame=256) print(f"\nloading {path.name}") win = SrasViewerWindow() win.show() # Capture anything the app reports as an error via the status bar. win.statusBar().messageChanged.connect( lambda m: errors.append(m) if m and "error" in m.lower() else None) win._load_file(str(path)) check("file loaded", wait_until(lambda: win._sras is not None)) s = win._sras check("parsed as v6", s.version == 6, f"v{s.version}") check("defaults to CH4", win.combo_channel.currentIndex() == CH4_IDX) check("image displayed", win._current_image is not None) check("angle spinbox ranges over all angles", win.spin_angle.maximum() == s.n_angles - 1) check("scan info populated", win._info["Angles"].text() == f"Angles: {s.n_angles}", win._info["Angles"].text()) print("\nbackground DC precompute (all angles)") ok = wait_until(lambda: all((a, CH4_IDX) in win._dc_cache and (a, CH3_IDX) in win._dc_cache for a in range(s.n_angles))) check("every angle cached for CH3 and CH4", ok, f"{len(win._dc_cache)} entries") check("status label reports completion", "ready for all angles" in win.lbl_dc_precompute.text(), win.lbl_dc_precompute.text()) print("\nangle switching (DC, should be served from cache)") for a in range(s.n_angles): win.spin_angle.setValue(a) win._on_view_changed() pump(60) expected = win._sras.image_shape(a) check(f"angle {a} shows its own geometry {expected}", win._current_image.shape == expected, str(win._current_image.shape)) check("no compute job needed for cached DC angles", not win._job_running("compute")) print("\nchannel switching") win.spin_angle.setValue(0) win._on_view_changed() pump(60) win.combo_channel.setCurrentIndex(CH3_IDX) check("CH3 displayed", wait_until(lambda: win._current_ch == CH3_IDX)) win.combo_channel.setCurrentIndex(CH1_IDX) check("CH1 (FFT) computed", wait_until( lambda: win._current_ch == CH1_IDX and not win._job_running("compute"))) check("FFT result cached", len(win._fft_cache) > 0, f"{len(win._fft_cache)} keys") rf_img = win._current_image check("FFT image is non-degenerate", len(np.unique(rf_img)) > 1, f"{len(np.unique(rf_img))} unique values") print("\nvelocity mode (pure post-multiply, no recompute)") n_fft_before = len(win._fft_cache) win.combo_channel.setCurrentIndex(VELOCITY_MODE_IDX) check("velocity displayed", wait_until( lambda: win._current_ch == VELOCITY_MODE_IDX and not win._job_running("compute"))) grating = win.spin_grating_um.value() check("velocity == freq x grating", np.allclose(win._current_image, rf_img * grating, atol=1e-3)) check("velocity reused the cached FFT", len(win._fft_cache) == n_fft_before, f"{n_fft_before} -> {len(win._fft_cache)}") check("grating spinbox visible in velocity mode", win.grp_velocity.isVisible()) print("\nthreshold change (genuine cache-key change)") win.combo_channel.setCurrentIndex(CH1_IDX) wait_until(lambda: not win._job_running("compute")) dc4 = win._dc_cache[(0, CH4_IDX)] win.spin_threshold_mv.setValue(float(np.median(dc4))) win._on_threshold_changed() check("recomputed at new threshold", wait_until( lambda: not win._job_running("compute") and len(win._fft_cache) > n_fft_before)) check("masking zeroed some pixels", int((win._current_image == 0).sum()) > 0, f"{int((win._current_image == 0).sum())} of {win._current_image.size}") print("\nbackground subtraction toggle") n_before = len(win._fft_cache) win.chk_bg_sub.setChecked(False) check("recomputed without bg-sub", wait_until( lambda: not win._job_running("compute") and len(win._fft_cache) > n_before)) win.chk_bg_sub.setChecked(True) pump(200) check("returning to bg-sub was a cache hit (no recompute)", not win._job_running("compute")) print("\nROI") x = s.x_axis_mm(0) y = s.y_positions_mm(0) roi = RoiQuad.from_bbox(float(x[1]), float(y[1]), float(x[-2]), float(y[-2])) win.image_canvas.set_roi(roi) pump(120) check("ROI registered", win.image_canvas.get_roi() is not None) check("pixel count reported", "pixels inside" in win.lbl_roi_npix.text() and win.lbl_roi_npix.text() != "pixels inside: —", win.lbl_roi_npix.text()) npix = int(win.lbl_roi_npix.text().split(":")[1]) check("ROI pixel count is plausible", 0 < npix <= win._current_image.size, f"{npix}") check("Export ROI enabled", win.btn_export_roi.isEnabled()) csv_path = tmpdir / "roi.csv" with patch("sras_viewer.QFileDialog.getSaveFileName", return_value=(str(csv_path), "")): win._on_export_roi_csv() check("ROI CSV written", csv_path.exists()) if csv_path.exists(): body = [l for l in csv_path.read_text().splitlines() if not l.startswith("#")] check("ROI CSV has header + one line per pixel", len(body) == npix + 1, f"{len(body)} lines for {npix} pixels") img_csv = tmpdir / "img.csv" with patch("sras_viewer.QFileDialog.getSaveFileName", return_value=(str(img_csv), "")): win._on_export_csv() check("image CSV written", img_csv.exists()) if img_csv.exists(): arr = np.loadtxt(img_csv, delimiter=",") check("image CSV round-trips the displayed image", arr.shape == win._current_image.shape and np.allclose(arr, win._current_image, rtol=1e-5, atol=1e-4)) print("\nROI survives angle and channel switches") win.spin_angle.setValue(1) win._on_view_changed() wait_until(lambda: not win._job_running("compute")) check("ROI still present after angle switch", win.image_canvas.get_roi() is not None) win.combo_channel.setCurrentIndex(CH4_IDX) wait_until(lambda: win._current_ch == CH4_IDX) check("ROI still present after channel switch", win.image_canvas.get_roi() is not None) print("\nangle alignment (Fusion)") win.spin_angle.setValue(0) win._on_view_changed() wait_until(lambda: not win._job_running("compute")) check("alignment action enabled", win._alignment_act.isEnabled()) win._on_angle_alignment() check("alignment completed", wait_until( lambda: win._alignment_result is not None and not win._job_running("align"), timeout_ms=60000)) if win._alignment_result is not None: r = win._alignment_result check("transform for every angle", len(r.per_angle) == s.n_angles) check("canvas is at least as large as any single angle", all(r.canvas_shape[0] >= int(s.n_rows[a]) and r.canvas_shape[1] >= int(s.n_frames[a]) for a in range(s.n_angles)), str(r.canvas_shape)) check("reference angle has zero shift", r.per_angle[r.ref_angle_idx].shift_mm == (0.0, 0.0)) check("Aligned View auto-enabled and checked", win.chk_aligned_view.isEnabled() and win.chk_aligned_view.isChecked()) pump(200) check("displayed image is on the alignment canvas", win.image_canvas._img_shape == r.canvas_shape, f"{win.image_canvas._img_shape} vs {r.canvas_shape}") win.chk_aligned_view.setChecked(False) pump(200) check("unchecking returns to the raw per-angle grid", win.image_canvas._img_shape == s.image_shape(0), str(win.image_canvas._img_shape)) print("\nmanual alignment (Fusion)") check("manual alignment action enabled", win._manual_align_act.isEnabled()) # --- Alignment pivot is a signal-weighted centroid, not the raw bbox -- # center, and is independent of any DC threshold (so a threshold that # happens to leave a real angle's binary mask empty can't silently # degrade the pivot back to the bbox center). corner_signal = np.zeros(s.image_shape(0), dtype=np.float32) corner_signal[0, 0] = 1.0 # single spike -> weighted centroid is exact expected_corner = (float(s.x_axis_mm(0)[0]), float(s.y_positions_mm(0)[0])) centroid = compute._signal_centroid_mm(s, 0, corner_signal) check("signal-weighted centroid of a single spike pixel is that pixel exactly", np.allclose(centroid, expected_corner), f"{centroid} vs {expected_corner}") bbox_center = compute._bbox_center_mm(s, 0) check("signal centroid differs from the raw scan-window bbox center", not np.allclose(centroid, bbox_center), f"centroid {centroid} vs bbox center {bbox_center}") # compute_pivot_points_mm should reuse a pre-computed dc4_mv dict rather # than recomputing from the real DC4 image (which has no such spike and # would give a different answer if silently recomputed). reused_pivot = compute.compute_pivot_points_mm(s, dc4_mv={0: corner_signal})[0] check("compute_pivot_points_mm reuses a pre-computed dc4_mv dict", np.allclose(reused_pivot, expected_corner)) # A perfectly flat signal carries no information to weight by, so it # falls back to the bbox center rather than producing a NaN/degenerate # centroid. flat_signal = np.full(s.image_shape(0), 5.0, dtype=np.float32) flat_centroid = compute._signal_centroid_mm(s, 0, flat_signal) check("a perfectly flat signal falls back to the bbox center", np.allclose(flat_centroid, bbox_center)) # --- Rotation sign convention: negative of the raw angles_deg delta ---- check("_theta_deg negates the raw angles_deg delta (GR stage's positive " "angle is the opposite rotational sense from this module's CCW " "math convention)", all(np.isclose(compute._theta_deg(s, a, 0), -(float(s.angles_deg[a]) - float(s.angles_deg[0]))) for a in range(s.n_angles))) # --- Open: must NOT seed from the still-live automatic AlignmentResult -- # The automatic result's translation comes from FFT phase correlation -- # the very thing manual mode exists to work around -- so manual mode # must start from identity (centroids coincide, zero shift) regardless # of whatever the automatic run last computed. Only a previously *saved # manual* alignment (sidecar) should ever seed this dialog. win._on_manual_alignment() check("dialog opened", win._manual_align_dialog is not None) dlg = win._manual_align_dialog check("mask prep needed no background worker (already DC-cached)", not win._job_running("manual_align_masks")) check("no manual sidecar yet -> dialog starts at identity, not the " "automatic result", all(dlg._angle_params[a] == compute.ManualAngleParams() for a in range(s.n_angles))) # --- Reference angle is locked ------------------------------------------- dlg.combo_active_angle.setCurrentIndex(dlg._ref_angle_idx) pump(30) before_ref = dlg._angle_params[dlg._ref_angle_idx] dlg._on_nudge_translate(1, 0, False) dlg._on_nudge_rotate(1, False) check("reference angle group disabled", not dlg.grp_manual_adjust.isEnabled()) check("reference angle untouched by nudge attempts", dlg._angle_params[dlg._ref_angle_idx] == before_ref) # --- Nudging a real angle (fine + coarse, translate + rotate) ----------- active = 1 if s.n_angles > 1 else 0 dlg.combo_active_angle.setCurrentIndex(active) pump(30) before = dlg._angle_params[active].shift_mm dlg._on_nudge_translate(1, 0, False) # fine +X fine_step = dlg.spin_step_translate_mm.value() check("fine translate nudge moved shift_x by exactly one fine step", abs(dlg._angle_params[active].shift_mm[0] - (before[0] + fine_step)) < 1e-9) before = dlg._angle_params[active].shift_mm dlg._on_nudge_translate(0, -1, True) # coarse -Y coarse_step = fine_step * dlg.spin_step_multiplier.value() check("coarse translate nudge uses the multiplier", abs(dlg._angle_params[active].shift_mm[1] - (before[1] - coarse_step)) < 1e-9) before_rot = dlg._angle_params[active].rotation_deg dlg._on_nudge_rotate(1, False) check("rotate nudge changed rotation_deg", dlg._angle_params[active].rotation_deg != before_rot) check("preview canvas rebuilt for every angle after a rotation nudge", len(dlg._preview_layers) == s.n_angles) # --- Real key-event wiring (proves keyPressEvent -> signal -> slot) ----- before = dlg._angle_params[active].shift_mm QTest.keyClick(dlg.canvas, Qt.Key.Key_Right) check("a real Right-arrow key event nudged shift_x", dlg._angle_params[active].shift_mm[0] > before[0]) # --- Auto De-rotate: rotation only, translation untouched --------------- shift_before_derotate = dlg._angle_params[active].shift_mm dlg._on_auto_derotate() expected_theta = compute._theta_deg(s, active, dlg._ref_angle_idx) check("auto de-rotate set the known analytic angle", abs(dlg._angle_params[active].rotation_deg - expected_theta) < 1e-6) check("auto de-rotate left translation untouched", dlg._angle_params[active].shift_mm == shift_before_derotate) check("reference angle stays identity after auto de-rotate", dlg._angle_params[dlg._ref_angle_idx].rotation_deg == 0.0) # --- Save ----------------------------------------------------------------- dlg._on_save() sidecar = compute.sidecar_path(s.path) check("sidecar file written", sidecar.exists()) raw = json.loads(sidecar.read_text()) if sidecar.exists() else {} check("sidecar schema_version is current", raw.get("schema_version") == compute._SIDECAR_SCHEMA_VERSION) check("sidecar per_angle round-trips the dialog's resolved params", all(raw.get("per_angle", {}).get(str(a), {}).get("rotation_deg") == dlg._angle_params[a].rotation_deg for a in range(s.n_angles))) check("main window's alignment_result replaced by the manual build", win._alignment_result is not None and win._alignment_result.per_angle[active].rotation_deg == dlg._angle_params[active].rotation_deg) check("Aligned View auto-enabled after Save", win.chk_aligned_view.isEnabled() and win.chk_aligned_view.isChecked()) # --- An old-schema sidecar (pre-pivot/sign fix) is treated as absent ------ stale = dict(raw) stale["schema_version"] = compute._SIDECAR_SCHEMA_VERSION - 1 sidecar.write_text(json.dumps(stale)) check("a sidecar with an old schema_version is not loaded", compute.load_manual_alignment(s) is None) sidecar.write_text(json.dumps(raw)) # restore for the rest of this section # --- Clear (with confirmation) -------------------------------------------- with patch("sras_viewer.QMessageBox.question", return_value=QMessageBox.StandardButton.Yes): dlg._on_clear() check("sidecar file deleted", not sidecar.exists()) check("dialog params reset to identity", all(dlg._angle_params[a] == compute.ManualAngleParams() for a in range(s.n_angles))) check("main window alignment_result cleared", win._alignment_result is None) check("Aligned View disabled after Clear", not win.chk_aligned_view.isEnabled() and not win.chk_aligned_view.isChecked()) dlg.close() pump(150) check("dialog reference released on close", win._manual_align_dialog is None) # --- Sidecar auto-restore on next load ------------------------------------ win._on_manual_alignment() dlg = win._manual_align_dialog dlg.combo_active_angle.setCurrentIndex(active) pump(30) dlg._on_auto_derotate() dlg._on_nudge_translate(1, 1, True) saved_rotation = dlg._angle_params[active].rotation_deg saved_shift = dlg._angle_params[active].shift_mm dlg._on_save() dlg.close() pump(150) old_sras_id = id(win._sras) win._load_file(str(path)) # reload the same file fresh check("file reloaded", wait_until( lambda: win._sras is not None and id(win._sras) != old_sras_id)) s = win._sras check("manual dialog force-closed by a reload", win._manual_align_dialog is None) check("reload restores the saved manual alignment automatically", win._alignment_result is not None) if win._alignment_result is not None: check("restored rotation matches what was saved", abs(win._alignment_result.per_angle[active].rotation_deg - saved_rotation) < 1e-9) check("restored shift matches what was saved", win._alignment_result.per_angle[active].shift_mm == saved_shift) check("Aligned View auto-checked after restoring a saved alignment", win.chk_aligned_view.isChecked()) print("\npixel inspector") win.chk_aligned_view.setChecked(False) pump(100) win._on_pixel_clicked(0, 0) pump(150) check("waveform hint hidden after a click", win.lbl_wave_hint.isHidden()) win.combo_channel.setCurrentIndex(CH1_IDX) wait_until(lambda: not win._job_running("compute")) win._on_pixel_clicked(1, 1) pump(150) check("RF waveform panel rendered", len(win.wave_canvas.ax_wave.lines) > 0, f"{len(win.wave_canvas.ax_wave.lines)} lines") print("\nshutdown") win.close() pump(400) check("all background jobs released", len(win._jobs) == 0, f"{list(win._jobs)}") print() unexpected = [e for e in errors if e] if unexpected: print(f"status-bar errors seen: {unexpected}") _failures.append("status-bar errors") if _failures: print(f"{len(_failures)} FAILURE(S): " + ", ".join(_failures)) return 1 print("All GUI checks passed.") return 0 if __name__ == "__main__": sys.exit(main())