| """Deterministic lateness-risk score. The LLM adds narrative on top of this, |
| but the number itself is auditable: judges can trace every point.""" |
|
|
|
|
| def clamp(value, low, high): |
| return max(low, min(high, value)) |
|
|
|
|
| def compute_risk( |
| traffic_delay_pct=0.0, |
| rain_mm=0.0, |
| event_impact=0, |
| festival_impact=0, |
| advisory_count=0, |
| ): |
| """ |
| traffic_delay_pct: traffic delay as % of free-flow travel time (0.20 = 20% slower) |
| rain_mm: max hourly rain (mm) during the journey window |
| event_impact: 0 none, 1 minor, 2 major event near route |
| festival_impact: 0 none, 1 regional, 2 city-wide festival (e.g. Bada Mangal) |
| advisory_count: number of active police diversions |
| """ |
| traffic_pts = clamp(traffic_delay_pct * 100 * 0.8, 0, 40) |
| rain_pts = clamp(rain_mm * 3, 0, 20) |
| event_pts = {0: 0, 1: 8, 2: 15}.get(event_impact, 15) |
| festival_pts = {0: 0, 1: 10, 2: 20}.get(festival_impact, 20) |
| advisory_pts = clamp(advisory_count * 5, 0, 10) |
|
|
| score = round(clamp(traffic_pts + rain_pts + event_pts + festival_pts + advisory_pts, 0, 100)) |
|
|
| if score < 30: |
| level = "LOW" |
| elif score < 60: |
| level = "MEDIUM" |
| else: |
| level = "HIGH" |
|
|
| return { |
| "score": score, |
| "level": level, |
| "breakdown": { |
| "traffic": round(traffic_pts, 1), |
| "rain": round(rain_pts, 1), |
| "events": event_pts, |
| "festivals": festival_pts, |
| "advisories": advisory_pts, |
| }, |
| } |
|
|
