Datasets:
File size: 1,112 Bytes
6fb01b2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | import argparse
import importlib
import json
from pathlib import Path
from govdata.common.pipeline import Options, run
DATASETS = ["wetten", "belastingdienst"]
def main(argv: list[str] | None = None) -> None:
p = argparse.ArgumentParser(prog="govdata", description="Rebuild a dataset and publish it to Hugging Face.")
p.add_argument("dataset", choices=DATASETS)
p.add_argument("--limit", type=int, help="only index/fetch the first N records (for smoke runs)")
p.add_argument("--no-upload", action="store_true", help="build locally, skip HF download and upload")
p.add_argument("--out", type=Path, default=Path("out"))
p.add_argument("--budget-hours", type=float, default=5.0, help="stop fetching after this long")
args = p.parse_args(argv)
src = importlib.import_module(f"govdata.{args.dataset}.source").SOURCE
opt = Options(limit=args.limit, upload=not args.no_upload, out=args.out, budget_s=args.budget_hours * 3600)
stats = run(src, opt, repo_root=Path(__file__).resolve().parents[2])
print(json.dumps(stats, indent=2))
if __name__ == "__main__":
main()
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