GenerAI / worldmonitor /shared /analysis-hotspot-escalation.ts
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Integra World Monitor (AGPL-3.0, self-hosted) nello Space: pagina, menu, e arricchimento notizie per la AI (part 6)
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/**
* 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);
}