File size: 1,263 Bytes
495526b | 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 | from backend.app.models.schemas import RiskAssessmentResponse
HAZARD_BASE = {
"earthquake": 0.78,
"flood": 0.72,
"wildfire": 0.7,
"hurricane": 0.75,
"cyclone": 0.73,
"pandemic": 0.8,
"chemical spill": 0.68,
"nuclear incident": 0.9,
}
def compute_risk(hazard_type: str, vulnerability_index: float, exposure_index: float) -> RiskAssessmentResponse:
hazard_weight = HAZARD_BASE.get(hazard_type.strip().lower(), 0.6)
raw_score = 0.4 * hazard_weight + 0.3 * vulnerability_index + 0.3 * exposure_index
risk_score = round(min(max(raw_score, 0.0), 1.0), 3)
if risk_score < 0.3:
level = "low"
recommendation = "Maintain preparedness drills and monitor regional advisories."
elif risk_score < 0.55:
level = "moderate"
recommendation = "Pre-position supplies and activate local coordination channels."
elif risk_score < 0.8:
level = "high"
recommendation = "Activate emergency response teams and prepare evacuation plans."
else:
level = "critical"
recommendation = "Issue immediate alerts, mobilize cross-agency command, and request aid."
return RiskAssessmentResponse(risk_score=risk_score, risk_level=level, recommendation=recommendation)
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