File size: 2,880 Bytes
8032ef4 | 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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | import json
import re
from pathlib import Path
from typing import Dict, Any, List
EMAIL_RE = re.compile(r"(?i)[a-z0-9._%+-]+\s*@\s*[a-z0-9.-]+\s*\.\s*[a-z]{2,}")
ORCID_RE = re.compile(r"(?i)\b(?:0\s*0\s*0\s*[0-3])\s*-\s*(?:\d\s*){4}\s*-\s*(?:\d\s*){4}\s*-\s*(?:\d\s*){3}[\dX]\b")
PHONE_RE = re.compile(r"(?i)\btel\.?\s*:?\s*(?:\d\s*){9,}")
PESEL_RE = re.compile(r"(?i)\bpesel\b\s*:?\s*(?:\d[\s-]*){11}\b")
NIP_RE = re.compile(r"(?i)\bnip\b\s*:?\s*(?:\d[\s-]*){10}\b")
REGON_RE = re.compile(r"(?i)\bregon\b\s*:?\s*(?:(?:\d[\s-]*){9}|(?:\d[\s-]*){14})\b")
AFFILIATION_RE = re.compile(r"(?i)\b(uniwersytet|wydział|instytut|katedra|mgr inż|dr hab|prof\.)\b")
NAV_HEADER_RE = re.compile(r"(?i)\bstudia bas\b|\bnr \d+\(\d+\)")
HYPHEN_RE = re.compile(r"\b\w+-\s+[a-ząćęłńóśźż]\w+\b")
REQUIRED_KEYS = {"id", "text", "source", "created", "license", "author", "doi", "source_url", "issue_url", "issue", "license_url"}
def get_context(text, match):
if not match: return ""
s = max(0, match.start() - 40)
e = min(len(text), match.end() + 40)
snippet = text[s:e]
redacted = snippet[:match.start()-s] + "[REDACTED]" + snippet[match.end()-s:]
return redacted.replace('\n', ' ')
def audit_record(record: Dict[str, Any], seen_ids: set, seen_texts: set) -> Dict[str, List[str]]:
issues = {}
text = record.get("text", "")
author = record.get("author", "")
doc_id = record.get("id", "")
# Missing metadata
if not all(k in record for k in REQUIRED_KEYS):
issues["malformed_metadata"] = ["Missing keys"]
if not author.strip():
issues["empty_author"] = ["Empty author field"]
if doc_id in seen_ids:
issues["duplicate_id"] = [f"ID: {doc_id}"]
seen_ids.add(doc_id)
if text in seen_texts:
issues["duplicate_text"] = ["Duplicate text block"]
seen_texts.add(text)
for issue_name, regex in [
("residual_email", EMAIL_RE),
("orcid_found", ORCID_RE),
("phone_number", PHONE_RE),
("pesel", PESEL_RE),
("nip", NIP_RE),
("regon", REGON_RE),
("affiliation_block", AFFILIATION_RE),
("navigation_header", NAV_HEADER_RE),
("suspicious_hyphenation", HYPHEN_RE),
]:
matches = list(regex.finditer(text))
if matches:
issues[issue_name] = [get_context(text, m) for m in matches[:2]]
return issues
def audit_corpus(path: Path) -> Dict[str, Dict[str, List[str]]]:
results = {}
seen_ids = set()
seen_texts = set()
with open(path, 'r', encoding='utf-8') as f:
for line in f:
if not line.strip():
continue
record = json.loads(line)
doc_id = record.get("id", "UNKNOWN")
issues = audit_record(record, seen_ids, seen_texts)
if issues:
results[doc_id] = issues
return results
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