#!/usr/bin/env python3 """Download one M4Raw Brain examination from Hugging Face.""" from __future__ import annotations import argparse import csv from pathlib import Path from huggingface_hub import hf_hub_download REPO_ID = "mylyu/M4Raw_brain" MANIFESTS = { "T1": "metadata/T1_manifest.tsv", "T2": "metadata/T2_manifest.tsv", "FLAIR": "metadata/FLAIR_manifest.tsv", "GRE": "metadata/GRE_manifest.tsv", } REP_FIELDS = tuple(f"h5_rep{index:02d}" for index in range(1, 7)) def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("scan_id") parser.add_argument("--sequence", choices=tuple(MANIFESTS), required=True) parser.add_argument("--output", type=Path, default=Path("M4Raw_case")) parser.add_argument("--repo-id", default=REPO_ID) parser.add_argument("--revision", default="v1.6.0") parser.add_argument( "--include-gre", action="store_true", help="Also download GRE for an original-cohort T1/T2/FLAIR examination.", ) return parser.parse_args() def download(repo_id: str, revision: str, filename: str, output: Path) -> Path: return Path( hf_hub_download( repo_id=repo_id, repo_type="dataset", revision=revision, filename=filename, local_dir=output, ) ) def manifest_row(path: Path, scan_id: str) -> dict[str, str]: with path.open(newline="", encoding="utf-8") as handle: rows = [ row for row in csv.DictReader(handle, delimiter="\t") if row["scan_id"] == scan_id ] if len(rows) != 1: raise RuntimeError( f"Expected one manifest row for {scan_id}, found {len(rows)}" ) return rows[0] def paths_for_sequence(args: argparse.Namespace, sequence: str) -> list[str]: manifest_name = MANIFESTS[sequence] local_manifest = download(args.repo_id, args.revision, manifest_name, args.output) row = manifest_row(local_manifest, args.scan_id) return [manifest_name, *(row[field] for field in REP_FIELDS if row.get(field))] def main() -> None: args = parse_args() if args.include_gre and args.sequence == "GRE": raise SystemExit("--include-gre is unnecessary with --sequence GRE") args.output.mkdir(parents=True, exist_ok=True) paths = paths_for_sequence(args, args.sequence) if args.include_gre: paths.extend(paths_for_sequence(args, "GRE")) unique_paths = list(dict.fromkeys(paths)) for filename in unique_paths: print(download(args.repo_id, args.revision, filename, args.output)) print(f"Downloaded {len(unique_paths)} files for {args.scan_id}") if __name__ == "__main__": main()