Datasets:
Download scripts/test_pipeline.py from VCG-EAI/TraceSpatial-Trace: direct link, hf CLI and curl.
- Browser
- Download file 4.13 kB
-
https://huggingface.co/datasets/VCG-EAI/TraceSpatial-Trace/resolve/main/scripts/test_pipeline.py
- Command line
-
hf download hf://datasets/VCG-EAI/TraceSpatial-Trace/scripts/test_pipeline.py
-
curl -L -o test_pipeline.py https://huggingface.co/datasets/VCG-EAI/TraceSpatial-Trace/resolve/main/scripts/test_pipeline.py
4.13 kB
| """Integration checks: real-source fidelity and recovery after a missing-image failure.""" | |
| import json | |
| import os | |
| from pathlib import Path | |
| import subprocess | |
| import sys | |
| import tempfile | |
| import unittest | |
| import pyarrow.parquet as pq | |
| from PIL import Image | |
| from convert_dataset import infer_task, sha256 | |
| SCRIPT = Path(__file__).with_name('convert_dataset.py') | |
| class PipelineTests(unittest.TestCase): | |
| def test_task_labels_and_ambiguity(self): | |
| self.assertEqual(infer_task('Predict 2D waypoints', '[(1, 2)]'), '2d_trace') | |
| self.assertEqual(infer_task('Predict 3D waypoints', '[(1, 2, 0.4)]'), '3d_trace') | |
| self.assertEqual(infer_task('Lift the 2 D waypoints to 3 D', '[(1, 2, 0.4)]'), '2d_to_3d') | |
| self.assertIsNone(infer_task('Predict 2D waypoints', '[(1, 2, 3)]')) | |
| self.assertIsNone(infer_task('Predict 3D waypoints', '__import__("os").getcwd()')) | |
| self.assertIsNone(infer_task('Predict 3D waypoints', '[("a", 2, 3)]')) | |
| def test_checkpoint_resume_after_missing_image(self): | |
| with tempfile.TemporaryDirectory(prefix='tracespatial-test-') as directory: | |
| base = Path(directory) | |
| root, output = base/'input', base/'output' | |
| (root/'images').mkdir(parents=True) | |
| (root/'metadata').mkdir() | |
| image1 = root/'images'/'frame_01.png' | |
| image2 = root/'images'/'frame_02.png' | |
| Image.frombytes('RGB',(700,700),os.urandom(700*700*3)).save(image1) | |
| records = [] | |
| for n in (1,2): | |
| records.append({'id':'duplicate-id','image':[f'frame:0{n}.png'], | |
| 'conversations':[{'from':'human','value':'Predict 2D waypoints'}, | |
| {'from':'gpt','value':'[(10, 20), (30, 40)]'}]}) | |
| (root/'metadata'/'droid_test.json').write_text(json.dumps(records),encoding='utf-8') | |
| command = [sys.executable,str(SCRIPT),'--input',str(root),'--output',str(output), | |
| '--workers','2','--shard-mib','1','--row-group-mib','1'] | |
| failed = subprocess.run(command,capture_output=True,text=True) | |
| self.assertNotEqual(failed.returncode,0) | |
| self.assertIn('RGB image missing',failed.stderr) | |
| self.assertFalse((output/'manifest.json').exists()) | |
| state = json.loads((output/'.state'/'droid-00000.json').read_text()) | |
| self.assertEqual(state['next_record'],1) | |
| first = output/state['files'][0]['path'] | |
| original_sha, original_mtime = sha256(first), first.stat().st_mtime_ns | |
| image2.write_bytes(image1.read_bytes()) | |
| resumed = subprocess.run(command,capture_output=True,text=True) | |
| self.assertEqual(resumed.returncode,0,resumed.stderr) | |
| self.assertEqual(sha256(first),original_sha) | |
| self.assertEqual(first.stat().st_mtime_ns,original_mtime) | |
| manifest = json.loads((output/'manifest.json').read_text()) | |
| self.assertEqual(manifest['qa_rows'],2) | |
| rows = [row for item in manifest['files'] for row in pq.read_table(output/item['path']).to_pylist()] | |
| self.assertEqual([r['record_index'] for r in rows],[0,1]) | |
| self.assertEqual([r['id'] for r in rows],['duplicate-id','duplicate-id']) | |
| self.assertTrue(all(r['type'] is None for r in rows)) | |
| self.assertEqual(manifest['source_statistics']['droid']['mapped_image_records'],2) | |
| uploader = Path(__file__).with_name('upload_dataset.py') | |
| plan = subprocess.run([sys.executable,str(uploader),'--folder',str(output)],capture_output=True,text=True) | |
| self.assertEqual(plan.returncode,0,plan.stderr) | |
| with first.open('ab') as f: f.write(b'corruption') | |
| bad = subprocess.run([sys.executable,str(uploader),'--folder',str(output)],capture_output=True,text=True) | |
| self.assertNotEqual(bad.returncode,0) | |
| self.assertIn('checksum mismatch',bad.stderr) | |
| if __name__ == '__main__': | |
| unittest.main(verbosity=2) | |