#!/usr/bin/env python3 """One small runnable end-to-end check; fixtures are synthetic, not real validation.""" import json import pickle import subprocess import sys import tempfile from pathlib import Path import numpy as np from PIL import Image from acquire import sha, safe_path from media import mask, decode from preprocess import se3 from validate import pt, check_inventory HERE = Path(__file__).resolve().parent def command(*args, succeeds=True): p = subprocess.run([sys.executable, str(HERE / 'preprocess.py'), *map(str, args)], capture_output=True, text=True) if (p.returncode == 0) != succeeds: raise AssertionError(p.stdout + p.stderr) return p def provenance(root): entries = [{'path': p.relative_to(root).as_posix(), 'sha256': sha(p), 'source_locator': {'file': 'SYNTHETIC_TEST_FIXTURE', 'member': p.relative_to(root).as_posix()}} for p in sorted(root.rglob('*')) if p.is_file() and p.name != 'sources.jsonl'] (root / 'sources.jsonl').write_text(''.join(json.dumps(r) + '\n' for r in entries)) def save_pickle(path, value): path.parent.mkdir(parents=True, exist_ok=True) with path.open('wb') as f: pickle.dump(value, f) def main(): rng = np.random.default_rng(17) with tempfile.TemporaryDirectory() as directory: temp = Path(directory) ego = temp / 'ego' for split in ('train', 'val', 'test_indomain', 'test_outdomain'): for folder in ('image', 'label'): (ego / split / folder).mkdir(parents=True) for i in range(2): # One JPEG stratum and one PNG stratum exercise copy and both lossless encoders. ext = '.jpg' if split != 'val' else '.png' Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(ego / split / 'image' / f'{i}{ext}') Image.fromarray(np.tile(np.arange(32, dtype=np.uint8) % 9, (24, 1))).save(ego / split / 'label' / f'{i}.png') provenance(ego) output = temp / 'ego-pilot' command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', output, '--chunk', 8) report = json.loads((output / 'doc/validation/report.json').read_text()) assert report['all_frames_checked'] == 8 check_inventory(output, report['file_hashes']) encoded = next((output / 'data').glob('train*/*/annotation/segment/mask.mkv')) assert np.array_equal(next(decode(encoded, True)), mask(ego / 'train/label/0.png')) assert (next(decode(encoded, True)) == 9).any() # Missing human review must block full and upload before any remote call. command('build', '--dataset', 'EgoHOS', '--input', ego, '--out', temp / 'badfull', '--phase', 'full', '--pilot', output, '--chunk', 8, succeeds=False) command('upload', '--release', output, succeeds=False) # A modified release fails its file inventory. (output / 'data/unexpected.txt').write_text('modified') try: check_inventory(output, report['file_hashes']) except ValueError: pass else: raise AssertionError('Mutation accepted') oak = temp / 'oak' seq = 'A00001_0004_0001_0002/2021-01-01-00-00-00' image = oak / 'image/stream_release_v2' / seq / 'north_east_color_10.png' image.parent.mkdir(parents=True) Image.fromarray(rng.integers(0, 256, (24, 32, 3), dtype=np.uint8)).save(image) anno = oak / 'image/anno' anno.mkdir() info = [[seq, person, 10, 0] for person in (0, 1)] (anno / 'seq_all.json').write_text(json.dumps(info)) for rel, value in [('split_train_val/split0/example_split_train.json', info), ('split_train_val/split0/example_split_val.json', []), ('split/split0/seq_test.json', [])]: p = anno / rel p.parent.mkdir(parents=True, exist_ok=True) p.write_text(json.dumps(value)) k = np.array([[20, 0, 16], [0, 20, 12], [0, 0, 1]], np.float32) xyz = np.column_stack((np.linspace(-.1, .1, 21), np.zeros(21), np.ones(21))).astype(np.float32) pose = np.eye(4, dtype=np.float32) pose[2, 3] = 1 for x in info: key = '__'.join(map(str, x)).replace('/', '__') + '.pkl' for folder, value in [('cam_intr', k), ('hand_j', xyz), ('obj_transf', pose), ('general_info', {'cam_extr': np.eye(4, dtype=np.float32)})]: save_pickle(anno / folder / key, value) obj = oak / 'image/obj/A00001.obj' obj.parent.mkdir() obj.write_text('mtllib absent.mtl\nv 0 0 0\nv .2 0 0\nv 0 .2 0\nusemtl default\nf 1 2 3\n') (oak / 'acquisition.json').write_text(json.dumps({'command': 'extract', 'dataset': 'OakInk-v1', 'note': 'SYNTHETIC TEST ONLY'})) provenance(oak) command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-blocked', succeeds=False) command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-rgb', '--allow-rgb-only') out = temp / 'oak-geo' command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', out, '--annotations', anno, '--trust-pickle') views = list((out / 'data').glob('*/*/metainfo.json')) assert len(views) == 2 and any('person0' in str(p) for p in views) and any('person1' in str(p) for p in views) for m in views: v = m.parent points = pt(v / 'annotation/keypoints/xyz.pt') assert np.isnan(points[:, 0]).all() and np.array_equal(points[0, 1], xyz) uv = pt(v / 'annotation/keypoints/uv.pt') assert np.allclose(uv[0, 1, 0], [14, 12]) text = (v / 'annotation/object/A00001/assets/A00001.obj').read_text() assert 'v -0.1 -0.1 0' in text assert 'mtllib ' not in text and 'usemtl ' not in text metadata = json.loads(m.read_text()) assert metadata['components']['object_mesh']['provenance']['source_missing_materials'] == ['absent.mtl'] # Test review records apply only to these temporary synthetic fixtures. command('approve', '--release', out, '--reviewer', 'SYNTHETIC_TEST_ONLY') command('upload', '--release', out, succeeds=False) # Reviewed pilot still cannot publish. command('build', '--dataset', 'OakInk-v1', '--input', oak, '--out', temp / 'oak-full', '--annotations', anno, '--trust-pickle', '--phase', 'full', '--pilot', out) for bad in ('../escape', '/absolute', 'a/../../escape'): try: safe_path(temp, bad) except ValueError: pass else: raise AssertionError('Unsafe path accepted') bad = np.eye(4) bad[0, 0] = 2 try: se3(bad, 'bad') except ValueError: pass else: raise AssertionError('Invalid SE3 accepted') print('PASS: JPEG copy, FFV1/x264 RGB, labels, provenance, review gates, RGB-only, synthetic OakInk geometry, NaN slots, projection, mesh centering, mutation/path/SE3 rejection') if __name__ == '__main__': main()