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LEASH / SOURCEmerchant-trust-data / collectors/ieee_cis.pyOpen live demo ↗

collectors/ieee_cis.py

50 lines1,523 bytessha256 69a490a19c51
  1. """IEEE-CIS Fraud Detection collector (Kaggle competition data).
  3. Official source requires Kaggle credentials + rule acceptance; this collector
  4. pulls a public Hugging Face mirror (aliceczr/ieee-fraud-detection) and the
  5. clean step verifies shape/integrity (590,540 train rows, isFraud present).
  6. Optional token via LEASH_HF_TOKEN (not needed for this public mirror).
  7. """
  9. from __future__ import annotations
  11. import json
  12. import os
  13. import sys
  15. import requests
  17. from collectors import common
  20. def _headers() -> dict:
  21. token = os.environ.get(common.CONFIG["ieee_cis"]["auth_env_var"])
  22. return {"Authorization": f"Bearer {token}"} if token else {}
  25. def collect() -> tuple[list[str], dict, bool]:
  26. cfg = common.CONFIG["ieee_cis"]
  27. base = f"https://huggingface.co/datasets/{cfg['hf_repo']}/resolve/main"
  28. paths = []
  29. metas = []
  30. cached_all = True
  31. for fname in cfg["files"]:
  32. filename = f"ieee_cis_{fname}"
  33. path, meta, cached = common.get_stream(
  34. f"{base}/{fname}", "ieee_cis", filename, headers=_headers(), timeout=300
  35. )
  36. paths.append(str(path))
  37. metas.append(meta)
  38. cached_all = cached_all and cached
  39. info = {
  40. "source": "ieee_cis",
  41. "files": [{k: m[k] for k in ("file", "bytes", "sha256")} for m in metas],
  42. "cached": cached_all,
  43. "retrieved_at": metas[-1]["retrieved_at"],
  44. }
  45. print(json.dumps(info), file=sys.stderr)
  46. return paths, {"files": metas}, cached_all
  49. if __name__ == "__main__":
  50. collect()