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7.24 kB
| # Copyright 2026 Emile de Bruyn | |
| # SPDX-License-Identifier: Apache-2.0 | |
| import csv | |
| import importlib.util | |
| import os | |
| import subprocess | |
| import sys | |
| import tempfile | |
| import unittest | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parents[1] | |
| sys.path.insert(0, str(ROOT / "scripts")) | |
| from prepare_motifbench import adapt_pdb | |
| from validate_release import residues, validate | |
| class ReleaseTests(unittest.TestCase): | |
| def test_reference(self): | |
| validate() | |
| def test_corrected_contig_preserves_motif_and_target(self): | |
| with (ROOT / "contig_specifications.csv").open(newline="") as handle: | |
| row = next(r for r in csv.DictReader(handle) if r["problem"] == "1A22_PS01352_c1") | |
| self.assertEqual(row["length"], "75") | |
| self.assertEqual(row["contig"], "0-0;A1-5;16-20;B1-3;21-25;C1-30;0-0") | |
| self.assertEqual(row["contig_original"], "0-0;B353-357;16-20;B374-376;21-25;B402-431;0-0") | |
| def test_adapter_preserves_backbone_and_masks_redesign(self): | |
| case = "1AHD_PS00027_c1" | |
| with (ROOT / "test_cases.csv").open(newline="") as handle: | |
| row = next(r for r in csv.DictReader(handle) if r["pdb_id"] == case) | |
| redesign = residues(row["redesign_idcs"]) | |
| with tempfile.TemporaryDirectory() as temp: | |
| path = Path(temp) / "adapted.pdb" | |
| adapt_pdb(ROOT / "motif_pdbs" / f"{case}.pdb", path, redesign) | |
| for line in path.read_text().splitlines(): | |
| if line.startswith("ATOM "): | |
| key = (line[21], int(line[22:26])) | |
| if key in redesign: | |
| self.assertEqual(line[17:20], "UNK") | |
| self.assertIn(line[12:16].strip(), {"N", "CA", "C", "O"}) | |
| else: | |
| self.assertNotEqual(line[17:20], "UNK") | |
| def test_reconstruction_rejects_unpinned_prosite(self): | |
| with tempfile.TemporaryDirectory() as temp: | |
| temp = Path(temp) | |
| fake = temp / "prosite.dat" | |
| fake.write_text("not the pinned PROSITE release\n") | |
| config = temp / "config.yaml" | |
| config.write_text(f"input:\n prosite_dat: {fake}\n") | |
| result = subprocess.run( | |
| [sys.executable, str(ROOT / "scripts/reconstruct.py"), "--config", str(config)], | |
| text=True, capture_output=True, | |
| ) | |
| self.assertNotEqual(result.returncode, 0) | |
| self.assertIn("wrong PROSITE input", result.stderr) | |
| def test_upstream_motif_info_and_segment_checker(self): | |
| work = Path(os.environ["MOTIFBENCH_WORK"]) | |
| with (ROOT / "test_cases.csv").open(newline="") as handle: | |
| cases = list(csv.DictReader(handle)) | |
| module_spec = importlib.util.spec_from_file_location( | |
| "upstream_motif_info", work / "scripts/write_motifInfo_from_scaffoldInfo.py" | |
| ) | |
| upstream = importlib.util.module_from_spec(module_spec) | |
| module_spec.loader.exec_module(upstream) | |
| for index, row in enumerate(cases, 1): | |
| name = f"{index:02d}_{row['pdb_id']}" | |
| chains = upstream.read_pdb_residues(work / "motif_pdbs" / f"{name}.pdb") | |
| observed = {(chain, number) for chain, entries in chains.items() | |
| for number, name in entries.items() if name == "UNK"} | |
| self.assertEqual(observed, residues(row["redesign_idcs"]), row["pdb_id"]) | |
| with tempfile.TemporaryDirectory() as temp: | |
| info = Path(temp) / "scaffold_info.csv" | |
| output = Path(temp) / "motif_info.csv" | |
| indices = ( | |
| 0, | |
| next(i for i, r in enumerate(cases) if ";" in r["motif_residues"]), | |
| next(i for i, r in enumerate(cases) if r["pdb_id"] == "1A22_PS01352_c1"), | |
| ) | |
| for index in indices: | |
| row = cases[index] | |
| name = f"{index + 1:02d}_{row['pdb_id']}" | |
| chains = [segment[0] for segment in row["motif_residues"].split(";")] | |
| with info.open("w", newline="") as handle: | |
| writer = csv.writer(handle) | |
| writer.writerow(["sample_num", "motif_placements"]) | |
| placement = "0/A/16/B/21/C/0" if row["pdb_id"] == "1A22_PS01352_c1" else "/".join(["0"] + chains + ["0"]) | |
| writer.writerow([0, placement]) | |
| subprocess.run([sys.executable, str(work / "scripts/write_motifInfo_from_scaffoldInfo.py"), | |
| str(info), str(work / "motif_pdbs" / f"{name}.pdb"), | |
| str(output)], check=True) | |
| with output.open(newline="") as handle: | |
| result = next(csv.DictReader(handle)) | |
| self.assertEqual(result["pdb_name"], name) | |
| self.assertEqual(result["segment_order"], ";".join(chains)) | |
| self.assertEqual(residues(result["redesign_positions"]), residues(row["redesign_idcs"])) | |
| subprocess.run([sys.executable, str(work / "scripts/check_segment_validity.py"), | |
| "-i", str(work / "test_cases.csv"), "-t", str(output)], check=True) | |
| if row["pdb_id"] == "1A22_PS01352_c1": | |
| with (work / "example/contig_specifications.csv").open(newline="") as handle: | |
| spec = next(r for r in csv.DictReader(handle) if r["problem"] == name) | |
| self.assertEqual(spec["contig"], "0-0;A1-5;16-20;B1-3;21-25;C1-30;0-0") | |
| def test_upstream_summary_is_ordered_before_scoring(self): | |
| work = Path(os.environ["MOTIFBENCH_WORK"]) | |
| with (ROOT / "test_cases.csv").open(newline="") as handle: | |
| cases = list(csv.DictReader(handle)) | |
| first = f"01_{cases[0]['pdb_id']}" | |
| last = f"100_{cases[99]['pdb_id']}" | |
| with tempfile.TemporaryDirectory() as temp: | |
| result = Path(temp) | |
| cluster = result / first / "esm_successful_backbones" / "diversity_cluster.tsv" | |
| cluster.parent.mkdir(parents=True) | |
| cluster.write_text(f"{first}_0.pdb {first}_0.pdb\n") | |
| with (result / "summary_by_problem.csv").open("w", newline="") as handle: | |
| writer = csv.writer(handle) | |
| writer.writerow(["Problem", "Num_Solutions", "Novelty", "Success_Rate", "Num_Evaluated"]) | |
| writer.writerow([last, 0, 0, 0, 100]) | |
| writer.writerow([first, 1, 0, 1, 100]) | |
| subprocess.run([sys.executable, str(ROOT / "scripts/summarize_motifbench.py"), | |
| str(work), str(result)], check=True) | |
| with (result / "summary_by_problem_ordered.csv").open(newline="") as handle: | |
| scored = list(csv.DictReader(handle)) | |
| self.assertEqual([r["Problem"] for r in scored], [first, last]) | |
| self.assertGreater(float(scored[0]["overall_score"]), 0) | |
| self.assertEqual(float(scored[1]["overall_score"]), 0) | |
| if __name__ == "__main__": | |
| unittest.main() | |