DEPosit / Scripts /redact_leaked_tokens_in_data.py
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#!/usr/bin/env python3
"""One-off utility: redact GitHub PAT-like strings in Data/*.csv (in place)."""
from __future__ import annotations
import re
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
DATA = ROOT / "Data"
REDACTED = "[REDACTED_GITHUB_TOKEN]"
# Fine-grained and classic PAT shapes; require sufficient length to avoid ghp_import-style false positives.
_PATTERNS = [
re.compile(r"github_pat_[A-Za-z0-9_]{20,}"),
re.compile(r"ghp_[A-Za-z0-9]{36,}"),
re.compile(r"gho_[A-Za-z0-9]{36,}"),
re.compile(r"ghu_[A-Za-z0-9]{36,}"),
re.compile(r"ghs_[A-Za-z0-9]{36,}"),
re.compile(r"ghr_[A-Za-z0-9]{36,}"),
]
def redact_text(text: str) -> tuple[str, int]:
count = 0
for pattern in _PATTERNS:
text, n = pattern.subn(REDACTED, text)
count += n
return text, count
def process_file(path: Path) -> int:
tmp = path.with_suffix(path.suffix + ".redacting")
total = 0
with open(path, encoding="utf-8", errors="replace") as src, open(
tmp, "w", encoding="utf-8", newline=""
) as dst:
for line in src:
new_line, n = redact_text(line)
total += n
dst.write(new_line)
tmp.replace(path)
return total
def main() -> None:
if not DATA.is_dir():
print(f"Missing {DATA}", file=sys.stderr)
sys.exit(1)
csv_files = sorted(DATA.rglob("*.csv"))
grand = 0
for path in csv_files:
n = process_file(path)
if n:
print(f" {path.relative_to(ROOT)}: {n} redaction(s)")
grand += n
print(f"Done. {grand} token-like string(s) redacted across {len(csv_files)} file(s).")
if __name__ == "__main__":
main()