Spaces:
Running on Zero
Running on Zero
File size: 2,531 Bytes
34445b3 | 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 81 | import re
_ScamSignal = re.IGNORECASE
_SCAM_KEYWORDS_RE = re.compile(
r"(?:bisp|ehsaas|ehsan|ایڈی|eidi|identifi|شناخت|پہچان|"
r"کا?رڈ|card|gover|حکومت|سرکار|وزیر|sarkar|"
r"8171|786|پنج\s*هزار|5000|ایک\s*سو\s*ایک|"
r"پکی\s*خبر|verified|پکی|سچی|سمجھو|سمجھ|"
r"فون|phone|moj| mobil|رقم|amount|rb?sid|رسید)",
re.IGNORECASE,
)
def has_scam_signals(text: str) -> bool:
"""Return True if *text* contains known scam-related keywords or numbers."""
if not text:
return False
return bool(_SCAM_KEYWORDS_RE.search(text))
_PHONETIC_DIGITS_URDU = {
"ایک": "1", "اک": "1",
"دو": "2",
"تین": "3", "tin": "3",
"چار": "4", "char": "4",
"پانچ": "5",
"چھ": "6", "che": "6",
"سات": "7", "sat": "7",
"آٹھ": "8", "ath": "8",
"نو": "9", "nau": "9",
"دس": "10", "das": "10",
}
_PHONETIC_RE = re.compile(
r"(?:ایک|اک|دو|تین|tin|چار|char|پانچ|چھ|che|سات|sat|آٹھ|ath|نو|nau|دس|das)"
r"(?:\s+(?:و|aur)\s+(?:ایک|اک|دو|تین|tin|چار|char|پانچ|چھ|che|سات|sat|آٹھ|ath|نو|nau|دس|das))+",
re.IGNORECASE,
)
def extract_numbers(text: str) -> list[str]:
"""Extract numeric tokens from *text*.
Finds bare digits (e.g. "8171", "786") and also converts phonetic Urdu
numbers written in script (e.g. "ایٹ ون سیون ون") into digit strings
when possible. Returns a list of digit strings.
"""
if not text:
return []
digits: list[str] = re.findall(r"\b\d{4,5}\b", text)
for m in _PHONETIC_RE.finditer(text):
raw = m.group(0)
built = ""
for token in raw.split():
if token in ("و", "aur"):
continue
built += _PHONETIC_DIGITS_URDU.get(token, "")
if built and built not in digits:
digits.append(built)
return digits
def number_note_for_claim(numbers: list[str]) -> str | None:
"""Return a SearchableClaim note if *numbers* contains 4- or 5-digit
values that may be tied to known scams or government programs."""
if not numbers:
return None
notable = [n for n in numbers if len(n) in (4, 5)]
if not notable:
return None
joined = ", ".join(notable)
return (
f"Numbers found in transcript: {joined}. "
"Check if any of these numbers are associated with a known scam "
"or government program."
)
|