import unittest from argparse import Namespace from pathlib import Path import sys import tarfile from tempfile import TemporaryDirectory import cv2 import numpy as np sys.path.insert(0, str(Path(__file__).resolve().parent)) from deidentify_batch import metadata_for_row, process_one from deidentify_trial import ( blackout_frame, blackout_top_bar, crop_top_bar, deidentify_fundus_circle, deidentify_fundus_left_outside_circle, parse_ocr_metadata, ) class DeidentifyTrialTest(unittest.TestCase): def test_parse_ocr_metadata_keeps_only_non_identifier_fields(self): meta = parse_ocr_metadata("张三 61岁 男 OD 2021/05/21 15:15") self.assertEqual(meta, {"age": 61, "sex": "M", "eye": "OD"}) def test_fundus_circle_mask_blacks_corner_and_keeps_retina(self): img = np.zeros((160, 160, 3), dtype=np.uint8) yy, xx = np.ogrid[:160, :160] circle = (xx - 80) ** 2 + (yy - 80) ** 2 <= 58**2 img[circle] = (90, 80, 70) img[:16, :35] = (255, 255, 255) out, ok, _ = deidentify_fundus_circle(img, radius_ratio=0.94, open_kernel=9) self.assertTrue(ok) self.assertTrue(np.all(out[4, 4] == 0)) self.assertTrue(np.all(out[80, 80] == img[80, 80])) def test_left_only_circle_mask_keeps_right_outside_circle(self): img = np.zeros((160, 160, 3), dtype=np.uint8) yy, xx = np.ogrid[:160, :160] circle = (xx - 80) ** 2 + (yy - 80) ** 2 <= 58**2 img[circle] = (90, 80, 70) img[4, 4] = (255, 255, 255) img[4, 150] = (123, 45, 67) out, ok, _ = deidentify_fundus_left_outside_circle( img, radius_ratio=0.985, left_ratio=0.55, open_kernel=9 ) self.assertTrue(ok) self.assertTrue(np.all(out[4, 4] == 0)) self.assertTrue(np.all(out[80, 80] == img[80, 80])) self.assertTrue(np.array_equal(out[4, 150], img[4, 150])) def test_blackout_top_bar_preserves_shape_and_masks_top_rows(self): img = np.full((100, 80, 3), 128, dtype=np.uint8) out = blackout_top_bar(img, ratio=0.12) self.assertEqual(out.shape, img.shape) self.assertTrue(np.all(out[:12] == 0)) self.assertTrue(np.all(out[12:] == 128)) def test_blackout_frame_masks_top_bottom_and_right_without_resizing(self): img = np.full((100, 80, 3), 128, dtype=np.uint8) out = blackout_frame(img, top=0.08, bottom=0.05, right=0.02) self.assertEqual(out.shape, img.shape) self.assertTrue(np.all(out[:8, :] == 0)) self.assertTrue(np.all(out[95:, :] == 0)) self.assertTrue(np.all(out[:, 78:] == 0)) self.assertTrue(np.all(out[8:95, :78] == 128)) def test_crop_top_bar_removes_requested_fraction(self): img = np.arange(100 * 80 * 3, dtype=np.uint8).reshape(100, 80, 3) out = crop_top_bar(img, ratio=0.12) self.assertEqual(out.shape, (88, 80, 3)) self.assertTrue(np.array_equal(out[0], img[12])) def test_process_one_bscan_writes_opaque_jpeg_and_metadata(self): with TemporaryDirectory() as tmp: tmp_path = Path(tmp) src = tmp_path / "source.bmp" img = np.full((100, 80, 3), 128, dtype=np.uint8) ok, encoded = cv2.imencode(".bmp", img) self.assertTrue(ok) encoded.tofile(str(src)) args = Namespace( out_root=tmp_path / "out", bscan_top=0.10, bscan_bottom=0.05, bscan_right=0.02, overwrite_images=False, jpeg_quality=95, ) row = { "image_id": "xiangya_bscan_00000001", "cohort": "xiangya_bscan", "file_path": str(src), } result = process_one(row, args, reader=None) out_path = tmp_path / "out" / "images" / "xiangya_bscan" / "xiangya_bscan_00000001.jpg" self.assertTrue(out_path.exists()) self.assertEqual(result["deid_path"], str(out_path)) self.assertEqual(result["deid_method"], "bscan_blackout_top10_bottom5_right2") self.assertTrue(result["pii_masked"]) def test_process_one_left_fundus_reads_tar_member(self): with TemporaryDirectory() as tmp: tmp_path = Path(tmp) img = np.zeros((160, 160, 3), dtype=np.uint8) yy, xx = np.ogrid[:160, :160] circle = (xx - 80) ** 2 + (yy - 80) ** 2 <= 58**2 img[circle] = (90, 80, 70) img[4, 4] = (255, 255, 255) ok, encoded = cv2.imencode(".png", img) self.assertTrue(ok) tar_path = tmp_path / "sample.tar" png_path = tmp_path / "sample.png" encoded.tofile(str(png_path)) with tarfile.open(tar_path, "w") as tf: tf.add(png_path, arcname="sample.png") args = Namespace( out_root=tmp_path / "out", overwrite_images=False, jpeg_quality=95, fundus_threshold=25, fundus_open_kernel=9, left_fundus_radius_ratio=0.985, left_fundus_ratio=0.55, ) row = { "image_id": "tongren_fundus_00000001", "cohort": "tongren_fundus", "train_path": f"{tar_path}::sample.png", "file_path": f"{tar_path}::sample.png", "ocr_age": 61, "ocr_sex": "F", "ocr_eye": "OD", } result = process_one(row, args, reader=None) self.assertTrue(Path(result["deid_path"]).exists()) self.assertEqual(result["deid_method"], "fundus_left_outside_circle_mask_r0985_l055") self.assertEqual(result["ocr_age"], 61) self.assertEqual(result["ocr_sex"], "F") def test_tongren_metadata_is_not_applied_to_fq_rows(self): meta = {"1005653-1.png": {"age": 63, "sex": "F", "eye": "OD"}} self.assertEqual( metadata_for_row( { "cohort": "fq_rawfundus", "rel_path": "1005653-1.png", "train_path": "/nfs01/FQ_Datasets/data/rawFundus/1005653-1.png", }, meta, ), {}, ) self.assertEqual( metadata_for_row( { "cohort": "tongren_fundus", "rel_path": "1005653-1.png", "train_path": "/data/team/lisicheng/Dataser/shards_tongren/fundus/a.tar::1005653-1.png", }, meta, ), {"age": 63, "sex": "F", "eye": "OD"}, ) if __name__ == "__main__": unittest.main()