#!/usr/bin/env python3 import argparse import csv import hashlib from pathlib import Path try: import yaml except Exception as exc: raise SystemExit(f"PyYAML is required to parse manifest.yaml: {exc}") def count_lines(path: Path) -> int: with path.open("r", encoding="utf-8") as handle: return sum(1 for line in handle if line.strip()) def sha256_file(path: Path) -> str: h = hashlib.sha256() with path.open("rb") as handle: for chunk in iter(lambda: handle.read(1024 * 1024), b""): h.update(chunk) return h.hexdigest() parser = argparse.ArgumentParser() parser.add_argument("--data-root", default=".") parser.add_argument("--sample-pt", type=int, default=3) parser.add_argument("--require-checksums", action="store_true") args = parser.parse_args() root = Path(args.data_root).resolve() manifest_path = root / "manifest.yaml" if not manifest_path.is_file(): raise SystemExit(f"missing manifest: {manifest_path}") data = yaml.safe_load(manifest_path.read_text(encoding="utf-8")) required_keys = [ "resource", "platform_resource", "website_integration", "runtime", "onescience", "runtime_package", "files", "relations", "run_matrix", "capabilities", "commands", "expected_outputs", "diagnostics", "domain_extension", ] missing = [k for k in required_keys if k not in data] if missing: raise SystemExit(f"missing manifest keys: {missing}") if data["resource"]["id"] != "OneScience/proteinmpnn": raise SystemExit(f"unexpected resource id: {data['resource']['id']}") if data["platform_resource"]["primary"]["repo_id"] != "OneScience/proteinmpnn": raise SystemExit("platform_resource.primary.repo_id mismatch") ds = root / "pdb_2021aug02_sample" for rel in ["README", "list.csv", "valid_clusters.txt", "test_clusters.txt"]: p = ds / rel if not p.is_file() or p.stat().st_size == 0: raise SystemExit(f"missing or empty file: {p}") pdb_dir = ds / "pdb" if not pdb_dir.is_dir(): raise SystemExit(f"missing pdb dir: {pdb_dir}") pt_files = sorted(pdb_dir.rglob("*.pt")) if len(pt_files) != 870: raise SystemExit(f"unexpected pt file count: {len(pt_files)}") with (ds / "list.csv").open("r", encoding="utf-8", newline="") as handle: reader = csv.DictReader(handle) expected = ["CHAINID", "DEPOSITION", "RESOLUTION", "HASH", "CLUSTER", "SEQUENCE"] if reader.fieldnames != expected: raise SystemExit(f"unexpected list.csv columns: {reader.fieldnames}") rows = 0 for row in reader: rows += 1 if rows <= 5 and not row["SEQUENCE"]: raise SystemExit("empty sequence in list.csv sample") if rows <= 0: raise SystemExit("list.csv has no data rows") valid_lines = count_lines(ds / "valid_clusters.txt") test_lines = count_lines(ds / "test_clusters.txt") if valid_lines <= 0 or test_lines <= 0: raise SystemExit("cluster split files must be non-empty") checksum_path = root / "checksums.sha256" if args.require_checksums and not checksum_path.is_file(): raise SystemExit(f"missing checksum manifest: {checksum_path}") if checksum_path.is_file(): checksum_lines = count_lines(checksum_path) if checksum_lines < 874: raise SystemExit(f"checksum manifest has too few entries: {checksum_lines}") sample = [] for path in pt_files[: max(args.sample_pt, 0)]: if path.stat().st_size <= 0: raise SystemExit(f"empty pt file: {path}") sample.append(f"{path.relative_to(root)}:{path.stat().st_size}:{sha256_file(path)[:16]}") print("DATASET_VALIDATION_OK") print(f"manifest_resource={data['resource']['id']}") print(f"data_files={sum(1 for p in ds.rglob('*') if p.is_file())}") print(f"pt_files={len(pt_files)}") print(f"list_rows={rows}") print(f"valid_clusters={valid_lines}") print(f"test_clusters={test_lines}") if sample: print("sample_pt=" + ",".join(sample))