| from __future__ import annotations |
|
|
| import importlib.util |
| import json |
| import sys |
| import tempfile |
| import unittest |
| from pathlib import Path |
|
|
|
|
| PROJECT_ROOT = Path(__file__).resolve().parents[1] |
| def _load_script_module(): |
| script_path = PROJECT_ROOT / "scripts" / "run_parallel_eval.py" |
| spec = importlib.util.spec_from_file_location("run_parallel_eval", script_path) |
| if spec is None or spec.loader is None: |
| raise RuntimeError("Unable to load run_parallel_eval module") |
| mod = importlib.util.module_from_spec(spec) |
| sys.modules[spec.name] = mod |
| spec.loader.exec_module(mod) |
| return mod |
|
|
|
|
| class TestParallelEvalHelpers(unittest.TestCase): |
| def test_load_track_manifest_sample_ids_reads_jsonl(self) -> None: |
| mod = _load_script_module() |
|
|
| with tempfile.TemporaryDirectory() as tmp: |
| manifest = Path(tmp) / "dynamic.jsonl" |
| manifest.write_text( |
| "\n".join( |
| [ |
| json.dumps({"id": "case_a_f0001"}), |
| json.dumps({"sample_id": "case_a_f0055"}), |
| "", |
| json.dumps({"id": "case_b_f0001"}), |
| ] |
| ) |
| + "\n", |
| encoding="utf-8", |
| ) |
|
|
| self.assertEqual( |
| mod.load_track_manifest_sample_ids(manifest), |
| {"case_a_f0001", "case_a_f0055", "case_b_f0001"}, |
| ) |
|
|
| def test_track_manifest_frame_selects_exact_geometry_frame(self) -> None: |
| mod = _load_script_module() |
|
|
| with tempfile.TemporaryDirectory() as tmp: |
| manifest = Path(tmp) / "dynamic.jsonl" |
| manifest.write_text( |
| json.dumps({"id": "case_a_f0055", "frame": 55}) + "\n", |
| encoding="utf-8", |
| ) |
|
|
| self.assertEqual( |
| mod.load_track_manifest_modes(manifest, "first_only"), |
| {"case_a_f0055": "exact:55"}, |
| ) |
|
|
| def test_collect_samples_requires_every_requested_model(self) -> None: |
| mod = _load_script_module() |
|
|
| with tempfile.TemporaryDirectory() as tmp: |
| data = Path(tmp) / "data" |
| (data / "gt" / "s1").mkdir(parents=True) |
| (data / "gt" / "s1" / "scene.blend").write_bytes(b"blend") |
| (data / "model_a" / "s1").mkdir(parents=True) |
| (data / "model_a" / "s1" / "scene.glb").write_bytes(b"glb") |
|
|
| with self.assertRaises(FileNotFoundError): |
| mod.collect_samples(data, ["model_a", "model_b"], None, "first_only") |
|
|
| self.assertEqual( |
| mod.collect_samples( |
| data, |
| ["model_a", "model_b"], |
| None, |
| "first_only", |
| allow_missing_models=True, |
| ), |
| [("s1", "first_only")], |
| ) |
|
|
| def test_aggregate_reports_paper_scale_and_complete_coverage(self) -> None: |
| mod = _load_script_module() |
|
|
| with tempfile.TemporaryDirectory() as tmp: |
| out = Path(tmp) |
| report = out / "s1" / "reports" / "final_report.json" |
| report.parent.mkdir(parents=True) |
| report.write_text( |
| json.dumps( |
| { |
| "summary": [ |
| { |
| "model": "model_a", |
| "scene_aabb_iou_mean": 0.1, |
| "scene_obb_iou_mean": 0.2, |
| "object_aabb_iou_penalized_mean": 0.3, |
| "object_obb_iou_penalized_mean": 0.4, |
| "rendered_pl_score_100": 95.0, |
| "rendered_n_clip_score_100": 80.0, |
| "rendered_pl_raw": 0.05, |
| "rendered_n_clip_raw": 0.2, |
| } |
| ] |
| } |
| ), |
| encoding="utf-8", |
| ) |
|
|
| payload = mod.aggregate(out, [("s1", "first_only")], ["model_a"]) |
| result = payload["results"]["model_a"] |
| self.assertTrue(payload["complete"]) |
| self.assertEqual(result["coverage"], 1.0) |
| self.assertAlmostEqual(result["pl"], 5.0) |
| self.assertAlmostEqual(result["n_clip"], 2.0) |
|
|
|
|
| if __name__ == "__main__": |
| unittest.main() |
|
|
