File size: 8,349 Bytes
fa9c65f | 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 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 | /**
* Hotspot escalation scoring core.
*
* Pure, dependency-free computation shared by the browser dashboard
* (src/services/hotspot-escalation.ts) and server-side (Edge/MCP) callers.
* Every function here is a total function of its arguments: no module state,
* no ambient clock — callers inject `now`.
*
* Scoring shape: the four components are each normalized to 0-100, weighted
* into a raw 0-100 composite, mapped onto the published 1-5 escalation scale,
* then blended 30/70 with the hotspot's curated static baseline.
*/
import { INTEL_HOTSPOTS } from './geo-data';
import type { Hotspot, EscalationTrend } from './geo-data';
import { haversineKm } from './geo-distance';
export type { Hotspot, EscalationTrend } from './geo-data';
export { haversineKm } from './geo-distance';
export const COMPONENT_WEIGHTS = {
news: 0.35,
cii: 0.25,
geo: 0.25,
military: 0.15,
};
export const SIGNAL_COOLDOWN_MS = 2 * 60 * 60 * 1000;
export const HISTORY_WINDOW_MS = 24 * 60 * 60 * 1000;
export const MAX_HISTORY_POINTS = 48;
export interface EscalationComponents {
newsActivity: number;
ciiContribution: number;
geoConvergence: number;
militaryActivity: number;
}
export interface EscalationInputs {
newsMatches: number;
hasBreaking: boolean;
newsVelocity: number;
ciiScore: number | null;
geoAlertScore: number;
geoAlertTypes: number;
flightsNearby: number;
vesselsNearby: number;
}
export interface EscalationHistoryPoint {
timestamp: number;
score: number;
}
export interface DynamicEscalationScore {
hotspotId: string;
staticBaseline: number;
dynamicScore: number;
combinedScore: number;
trend: EscalationTrend;
components: EscalationComponents;
history: EscalationHistoryPoint[];
lastUpdated: Date;
}
export interface EscalationSignalReason {
type: 'threshold_crossed' | 'rapid_increase' | 'critical_reached';
oldScore: number;
newScore: number;
threshold?: number;
}
/** Minimum shape needed to score a hotspot — anything positioned with a baseline. */
export interface ScorableHotspot {
id: string;
lat: number;
lon: number;
escalationScore?: number;
}
/** Minimum shape needed for proximity counting. */
export interface GeoPoint {
lat: number;
lon: number;
}
export function getStaticBaseline(hotspot: { escalationScore?: number }): number {
return hotspot.escalationScore ?? 3;
}
export function normalizeNewsActivity(matches: number, hasBreaking: boolean, velocity: number): number {
return Math.min(100, matches * 15 + (hasBreaking ? 30 : 0) + velocity * 5);
}
export function normalizeCII(score: number | null): number {
return score ?? 30;
}
export function normalizeGeo(alertScore: number, alertTypes: number): number {
if (alertScore === 0) return 0;
return Math.min(100, alertScore + alertTypes * 10);
}
export function normalizeMilitary(flights: number, vessels: number): number {
return Math.min(100, flights * 10 + vessels * 15);
}
export function computeComponents(inputs: EscalationInputs): EscalationComponents {
return {
newsActivity: normalizeNewsActivity(inputs.newsMatches, inputs.hasBreaking, inputs.newsVelocity),
ciiContribution: normalizeCII(inputs.ciiScore),
geoConvergence: normalizeGeo(inputs.geoAlertScore, inputs.geoAlertTypes),
militaryActivity: normalizeMilitary(inputs.flightsNearby, inputs.vesselsNearby),
};
}
export function calculateDynamicRaw(components: EscalationComponents): number {
return (
components.newsActivity * COMPONENT_WEIGHTS.news +
components.ciiContribution * COMPONENT_WEIGHTS.cii +
components.geoConvergence * COMPONENT_WEIGHTS.geo +
components.militaryActivity * COMPONENT_WEIGHTS.military
);
}
export function rawToScore(raw: number): number {
return 1 + (raw / 100) * 4;
}
export function blendScores(staticBaseline: number, dynamicScore: number): number {
return staticBaseline * 0.3 + dynamicScore * 0.7;
}
export function pruneHistory(history: EscalationHistoryPoint[], now: number): EscalationHistoryPoint[] {
const cutoff = now - HISTORY_WINDOW_MS;
const pruned = history.filter(h => h.timestamp >= cutoff);
if (pruned.length > MAX_HISTORY_POINTS) {
return pruned.slice(-MAX_HISTORY_POINTS);
}
return pruned;
}
export function detectTrend(history: EscalationHistoryPoint[]): EscalationTrend {
if (history.length < 3) return 'stable';
let sumX = 0, sumY = 0, sumXY = 0, sumX2 = 0;
let validCount = 0;
for (let i = 0; i < history.length; i++) {
const entry = history[i];
if (!entry) continue;
sumX += validCount;
sumY += entry.score;
sumXY += validCount * entry.score;
sumX2 += validCount * validCount;
validCount++;
}
if (validCount < 3) return 'stable';
const denominator = validCount * sumX2 - sumX * sumX;
if (denominator === 0) return 'stable';
const slope = (validCount * sumXY - sumX * sumY) / denominator;
if (slope > 0.1) return 'escalating';
if (slope < -0.1) return 'de-escalating';
return 'stable';
}
export interface ComputeEscalationOptions {
/** Timestamp for this observation. Injected so scoring is deterministic. */
now: number;
/** Prior history for this hotspot, if any. Never mutated. */
previousHistory?: EscalationHistoryPoint[];
}
export function computeEscalationScore(
hotspot: ScorableHotspot,
inputs: EscalationInputs,
options: ComputeEscalationOptions,
): DynamicEscalationScore {
const { now, previousHistory } = options;
const staticBaseline = getStaticBaseline(hotspot);
const components = computeComponents(inputs);
const dynamicRaw = calculateDynamicRaw(components);
const dynamicScore = rawToScore(dynamicRaw);
const combinedScore = blendScores(staticBaseline, dynamicScore);
const history = pruneHistory(previousHistory ?? [], now);
history.push({ timestamp: now, score: combinedScore });
return {
hotspotId: hotspot.id,
staticBaseline,
dynamicScore: Math.round(dynamicScore * 10) / 10,
combinedScore: Math.round(combinedScore * 10) / 10,
trend: detectTrend(history),
components,
history,
lastUpdated: new Date(now),
};
}
export interface EvaluateSignalOptions {
oldScore: number | null;
newScore: number;
/** When a signal was last emitted for this hotspot; 0 when never. */
lastSignalAt: number;
now: number;
}
export function evaluateEscalationSignal(options: EvaluateSignalOptions): EscalationSignalReason | null {
const { oldScore, newScore, lastSignalAt, now } = options;
if (now - lastSignalAt < SIGNAL_COOLDOWN_MS) return null;
if (oldScore === null) return null;
const oldInt = Math.floor(oldScore);
const newInt = Math.floor(newScore);
if (newInt > oldInt && newScore >= 2) {
return { type: 'threshold_crossed', oldScore, newScore, threshold: newInt };
}
if (newScore - oldScore >= 0.5) {
return { type: 'rapid_increase', oldScore, newScore };
}
if (newScore >= 4.5 && oldScore < 4.5) {
return { type: 'critical_reached', oldScore, newScore };
}
return null;
}
export function computeEscalationChange(
history: EscalationHistoryPoint[],
now: number,
): { change: number; start: number; end: number } | null {
if (history.length < 2) return null;
const h24Ago = now - HISTORY_WINDOW_MS;
const oldestInWindow = history.find(h => h.timestamp >= h24Ago);
const newest = history[history.length - 1];
if (!oldestInWindow || !newest) return null;
return {
change: Math.round((newest.score - oldestInWindow.score) * 10) / 10,
start: Math.round(oldestInWindow.score * 10) / 10,
end: Math.round(newest.score * 10) / 10,
};
}
export function countMilitaryNearHotspot(
hotspot: GeoPoint,
flights: GeoPoint[],
vessels: GeoPoint[],
radiusKm: number = 200,
): { flights: number; vessels: number } {
let flightCount = 0;
let vesselCount = 0;
for (const f of flights) {
if (haversineKm(hotspot.lat, hotspot.lon, f.lat, f.lon) <= radiusKm) {
flightCount++;
}
}
for (const v of vessels) {
if (haversineKm(hotspot.lat, hotspot.lon, v.lat, v.lon) <= radiusKm) {
vesselCount++;
}
}
return { flights: flightCount, vessels: vesselCount };
}
/** Look up a curated hotspot by id. */
export function findHotspotById(hotspotId: string): Hotspot | undefined {
return INTEL_HOTSPOTS.find(h => h.id === hotspotId);
}
|