File size: 1,829 Bytes
214209a | 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 | import logging
import re
logger = logging.getLogger(__name__)
# Basic keywords and patterns for phone-based threats/scams
SCAM_PATTERNS = [
(r"password|pin|otp|credit card|bank account", 40, "Sensitive information requested"),
(r"immediately|urgent|within 24 hours|account will be blocked", 25, "Urgency tactics detected"),
(r"irs|tax|police|government|official", 20, "Impersonation of authority"),
(r"money|transfer|wired|gift card|crypto", 35, "Suspicious payment request"),
(r"don't tell anyone|keep this secret|private", 20, "Secrecy request detected")
]
def analyze_transcript(text: str) -> dict:
"""
Analyzes call transcript for potential threats.
Returns a dict with safe, risk_score, reasons, and category.
"""
if not text:
return {"safe": True, "risk_score": 0, "reasons": [], "category": "safe"}
text_lower = text.lower()
risk_score: int = 0
reasons = []
for pattern, score, reason in SCAM_PATTERNS:
if re.search(pattern, text_lower):
risk_score += score
reasons.append(reason)
# Cap score
risk_score = min(risk_score, 100)
category = "safe"
if risk_score >= 70:
category = "high_risk"
elif risk_score >= 40:
category = "medium_risk"
elif risk_score >= 20:
category = "low_risk"
# Calculate confidence based on flag count
base_confidence = 0.85 # Default high confidence for negative check
if reasons:
# More reasons = higher confidence that it IS a threat
base_confidence = min(0.65 + (len(reasons) * 0.1), 0.99)
return {
"safe": risk_score < 40,
"risk_score": risk_score,
"confidence": round(base_confidence * 100, 1),
"reasons": reasons,
"category": category,
"text": text
}
|