#!/usr/bin/env python3 """ Assemble the huggingface/ folder: a self-contained copy of everything that is published on the Hugging Face Hub, ready for `hf upload`. huggingface/ ├── README.md the dataset card (DATASET_CARD.md, unchanged) ├── LICENSE ├── CITATION.cff citation metadata for the dataset ├── requirements.txt ├── dataset/ consolidated files, analysis, raw run files ├── figures/png, pdf the figures the card embeds ├── scripts/ collector, builder, analysis, plotting, packaging └── tests/ Run it after build_dataset.py, analyze.py and plot_figures.py. The folder is rebuilt from scratch on every run and is ignored by git. python package_huggingface.py python package_huggingface.py --out-dir /some/other/place """ from __future__ import annotations import argparse import re import shutil import sys from pathlib import Path ROOT = Path(__file__).resolve().parent.parent DATASET_CITATION = """cff-version: 1.2.0 message: "If you use this dataset, please cite it as below. The toolkit that produced it has its own citation in the source repository." type: dataset title: "LocalNet-Dynamics: A Longitudinal Local Area Network Telemetry Dataset" authors: - family-names: "Ezharjan" given-names: "Alexander" version: {version} date-released: "{date}" license: MIT doi: 10.57967/hf/10841 url: "https://huggingface.co/datasets/ezharjan/LocalNetDynamics" repository-code: "https://github.com/Ezharjan/LocalNetDynamicsDataset" abstract: >- A longitudinal telemetry dataset of a residential local area network, sampled every 30 seconds around the clock from a wired desktop for 19 days. Each sample records ICMP latency, jitter and loss to a reference host and to the gateway, TCP connect time, cached and recursive DNS response time, HTTP time-to-first-response and hourly WAN throughput tests, with time-of-day features and rule-based reference labels for forecasting, anomaly detection and quality-of-service research. keywords: - network telemetry - latency - jitter - packet loss - DNS - throughput - quality of service - anomaly detection - time series """ def field(text: str, name: str) -> str: m = re.search(rf"^{name}:\s*\"?([^\"\n]+)\"?\s*$", text, re.MULTILINE) if not m: raise SystemExit(f"CITATION.cff has no '{name}' field") return m.group(1).strip() def copy_tree(src: Path, dst: Path, patterns: tuple[str, ...]) -> list[Path]: copied = [] for pattern in patterns: for path in sorted(src.glob(pattern)): if path.is_file(): target = dst / path.relative_to(src) target.parent.mkdir(parents=True, exist_ok=True) shutil.copy2(path, target) copied.append(target) return copied def main(argv: list[str] | None = None) -> int: p = argparse.ArgumentParser(description="Assemble the folder that is uploaded to Hugging Face.") p.add_argument("--out-dir", default=str(ROOT / "huggingface")) args = p.parse_args(argv) out = Path(args.out_dir) required = [ROOT / "DATASET_CARD.md", ROOT / "LICENSE", ROOT / "CITATION.cff", ROOT / "dataset" / "localnet_dynamics.parquet", ROOT / "dataset" / "analysis.json", ROOT / "figures" / "png"] missing = [str(path) for path in required if not path.exists()] if missing: raise SystemExit("missing, run build_dataset.py, analyze.py and plot_figures.py first:\n " + "\n ".join(missing)) if out.exists(): shutil.rmtree(out) out.mkdir(parents=True) shutil.copy2(ROOT / "DATASET_CARD.md", out / "README.md") shutil.copy2(ROOT / "LICENSE", out / "LICENSE") shutil.copy2(ROOT / "requirements.txt", out / "requirements.txt") code_citation = (ROOT / "CITATION.cff").read_text(encoding="utf-8") (out / "CITATION.cff").write_text( DATASET_CITATION.format(version=field(code_citation, "version"), date=field(code_citation, "date-released")), encoding="utf-8") files = [out / "README.md", out / "LICENSE", out / "requirements.txt", out / "CITATION.cff"] files += copy_tree(ROOT / "dataset", out / "dataset", ("localnet_dynamics.csv", "localnet_dynamics.parquet", "summary.json", "analysis.json", "raw/localnet_*.csv", "raw/localnet_*.json", "raw/events.csv")) files += copy_tree(ROOT / "figures", out / "figures", ("png/*.png", "pdf/*.pdf")) files += copy_tree(ROOT / "scripts", out / "scripts", ("*.py",)) files += copy_tree(ROOT / "tests", out / "tests", ("*.py",)) total = sum(f.stat().st_size for f in files) for f in files: print(f" {f.relative_to(out).as_posix():<60}{f.stat().st_size / 1e6:>9.2f} MB") print(f"{len(files)} files, {total / 1e6:.1f} MB written to {out}") return 0 if __name__ == "__main__": sys.exit(main())