| |
| """Report and validate SUMI OpenCT collection readiness without network I/O.""" |
|
|
| from __future__ import annotations |
|
|
| import argparse |
| import csv |
| import json |
| from pathlib import Path |
|
|
|
|
| EXPECTED_DATASETS = { |
| "DSB17", |
| "LIDC-IDRI", |
| "LNDb19", |
| "LTRC", |
| "LUNA16", |
| "MIDRC", |
| "NLST", |
| "RSNA-STR", |
| } |
| MIRROR_ALLOWED = { |
| "mirror_allowed_with_attribution", |
| "mirror_selected_public_ct_with_attribution", |
| } |
|
|
|
|
| def read_jsonl(path: Path) -> list[dict]: |
| if not path.exists(): |
| return [] |
| rows: list[dict] = [] |
| with path.open(encoding="utf-8") as f: |
| for line_number, line in enumerate(f, start=1): |
| if not line.strip(): |
| continue |
| try: |
| value = json.loads(line) |
| except json.JSONDecodeError as exc: |
| raise RuntimeError(f"Invalid JSON at {path}:{line_number}: {exc}") from exc |
| if not isinstance(value, dict): |
| raise RuntimeError(f"Expected an object at {path}:{line_number}") |
| rows.append(value) |
| return rows |
|
|
|
|
| def count_csv_rows(path: Path) -> int: |
| if not path.exists(): |
| return 0 |
| with path.open(newline="", encoding="utf-8") as f: |
| return sum(1 for _ in csv.DictReader(f)) |
|
|
|
|
| def collect_status(root: Path) -> tuple[list[dict], list[str]]: |
| registry_path = root / "manifests/source_datasets.csv" |
| with registry_path.open(newline="", encoding="utf-8") as f: |
| registry = list(csv.DictReader(f)) |
|
|
| errors: list[str] = [] |
| names = {row.get("dataset", "") for row in registry} |
| if names != EXPECTED_DATASETS: |
| errors.append( |
| f"registry datasets differ: missing={sorted(EXPECTED_DATASETS - names)}, " |
| f"unexpected={sorted(names - EXPECTED_DATASETS)}" |
| ) |
|
|
| status: list[dict] = [] |
| for source in registry: |
| dataset = source["dataset"] |
| planned = int(source["planned_scans"]) |
| manifest_path = root / f"manifests/{dataset}.jsonl" |
| manifest = read_jsonl(manifest_path) |
| folders = [str(row.get("folder", "")) for row in manifest] |
| source_uids = [str(row.get("source_series_uid", "")) for row in manifest] |
|
|
| if len(folders) != len(set(folders)): |
| errors.append(f"{dataset}: duplicate folder in {manifest_path}") |
| if any(not value for value in folders): |
| errors.append(f"{dataset}: manifest row missing folder") |
| if len(source_uids) != len(set(source_uids)): |
| errors.append(f"{dataset}: duplicate source_series_uid in {manifest_path}") |
| if any(not value for value in source_uids): |
| errors.append(f"{dataset}: manifest row missing source_series_uid") |
| if len(manifest) > planned: |
| errors.append(f"{dataset}: {len(manifest)} uploads exceed planned count {planned}") |
|
|
| collector = source.get("collector", "") |
| if collector and collector != "none" and not (root / collector).is_file(): |
| errors.append(f"{dataset}: collector does not exist: {collector}") |
| policy = source.get("mirror_policy", "") |
| if policy not in MIRROR_ALLOWED and manifest: |
| errors.append(f"{dataset}: restricted source has {len(manifest)} uploaded manifest rows") |
|
|
| selection_path = source.get("required_selection", "") |
| selection_rows = count_csv_rows(root / selection_path) if selection_path else None |
| status.append( |
| { |
| "dataset": dataset, |
| "planned": planned, |
| "uploaded": len(manifest), |
| "preparation_status": source.get("preparation_status", ""), |
| "mirror_policy": policy, |
| "selection_rows": selection_rows, |
| } |
| ) |
| return status, errors |
|
|
|
|
| def main() -> None: |
| parser = argparse.ArgumentParser() |
| parser.add_argument("--root", type=Path, default=Path(".")) |
| parser.add_argument("--json", action="store_true") |
| args = parser.parse_args() |
|
|
| root = args.root.resolve() |
| status, errors = collect_status(root) |
| if args.json: |
| print(json.dumps({"sources": status, "errors": errors}, indent=2, sort_keys=True)) |
| else: |
| print(f"{'dataset':<12} {'planned':>8} {'uploaded':>8} preparation") |
| for row in status: |
| selection = row["selection_rows"] |
| suffix = f" (selection rows: {selection})" if selection is not None else "" |
| print( |
| f"{row['dataset']:<12} {row['planned']:>8} {row['uploaded']:>8} " |
| f"{row['preparation_status']}{suffix}" |
| ) |
| print( |
| f"{'TOTAL':<12} {sum(row['planned'] for row in status):>8} " |
| f"{sum(row['uploaded'] for row in status):>8}" |
| ) |
| print("validation: " + ("OK" if not errors else "FAILED")) |
| for error in errors: |
| print(f"- {error}") |
|
|
| if errors: |
| raise SystemExit(1) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|