- vigilance: currentEcheance basée sur productDatetime (jour calme renvoyait J1 à tort)
- normales: dayOfYear extrait en Europe/Paris pour 'now' (UTC mélangeait les jours après minuit)
- meteofrance-auth + CLAUDE.md: header `apikey:` documenté correctement (pas Authorization Bearer)
- cache: SWR — envelope {v, fu}, hard TTL = ttl*6, refresh background avec lock anti-stampede
- vigilance: snapshot last-good (TTL 30j) écrit à chaque fetch, fallback final si MF+ODS KO
- vigilance: nettoyage variable url morte dans fetchOpendatasoft
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
181 lines
6.8 KiB
TypeScript
181 lines
6.8 KiB
TypeScript
// Lookup des normales saisonnières TN/TX par dept × jour (day-of-year 1..366),
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// calculées sur 1991-2020 avec lissage 7 jours. Données générées par
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// scripts/build-normales.mjs, committées en JSON statique.
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import type { DayObservation } from './climato';
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let normalesData: Record<string, DailyNormale[] | null> | null = null;
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async function loadNormales(): Promise<Record<string, DailyNormale[] | null>> {
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if (normalesData) return normalesData;
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try {
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const m = await import('../data/normales.json');
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normalesData = m.default as Record<string, DailyNormale[] | null>;
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} catch {
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normalesData = {};
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}
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return normalesData;
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}
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export interface DailyNormale {
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doy: number; // 1..366
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tn: number | null;
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tx: number | null;
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tnStd: number;
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txStd: number;
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n: number;
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}
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// Day-of-year en convention "leap calendar" (1..366), aligné sur le calendrier bissextile.
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// Extraction Y/M/D en Europe/Paris pour rester cohérent avec :
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// - les pages SSR qui formatent en Europe/Paris (todayLabel, productDate),
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// - les obs climato YYYY-MM-DD (parsées en UTC midnight, donc Paris == J ou J-1
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// selon offset DST, mais ça représente toujours la "journée Paris" du jour
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// suivant — assez proche pour le lookup normale).
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// - `new Date()` (now) : en UTC, getUTC* renvoie hier entre 00h et 01h/02h Paris.
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// Toujours utiliser le jour Paris-local.
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export function dayOfYear(date: Date): number {
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// sv-SE → format "YYYY-MM-DD"
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const iso = date.toLocaleDateString('sv-SE', { timeZone: 'Europe/Paris' });
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const y = parseInt(iso.slice(0, 4), 10);
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const m = parseInt(iso.slice(5, 7), 10);
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const d = parseInt(iso.slice(8, 10), 10);
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const cumulNonLeap = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334];
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const cumulLeap = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335];
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const isLeap = (y % 4 === 0 && y % 100 !== 0) || (y % 400 === 0);
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return (isLeap ? cumulLeap : cumulNonLeap)[m - 1] + d;
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}
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export async function normaleForDay(dept: string, doy: number): Promise<DailyNormale | null> {
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const data = await loadNormales();
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const arr = data[dept];
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if (!arr) return null;
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return arr[doy - 1] ?? null;
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}
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export async function normaleForDate(dept: string, date: Date): Promise<DailyNormale | null> {
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return normaleForDay(dept, dayOfYear(date));
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}
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// Série continue de normales pour une plage de dates : [{date, doy, tn, tx, ...}]
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export async function normalesForRange(dept: string, dates: string[]): Promise<Array<{ date: string; tn: number | null; tx: number | null; tnStd: number; txStd: number } | null>> {
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const data = await loadNormales();
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const arr = data[dept];
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if (!arr) return dates.map(() => null);
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return dates.map((iso) => {
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const doy = dayOfYear(new Date(iso));
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const n = arr[doy - 1];
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if (!n) return null;
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return { date: iso, tn: n.tn, tx: n.tx, tnStd: n.tnStd, txStd: n.txStd };
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});
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}
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export type AnomalyCategory =
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| 'normal' | 'warm' | 'cool'
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| 'anomaly_warm' | 'anomaly_cool'
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| 'extreme_warm' | 'extreme_cool'
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| 'unknown';
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export interface Anomaly {
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windowDays: number;
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meanTx: number | null;
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meanTn: number | null;
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normaleTx: number | null;
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normaleTn: number | null;
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diffTx: number | null;
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diffTn: number | null;
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sigmaTx: number | null;
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sigmaTn: number | null;
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txCategory: AnomalyCategory;
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}
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function categorize(sigma: number | null): AnomalyCategory {
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if (sigma === null || !Number.isFinite(sigma)) return 'unknown';
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const abs = Math.abs(sigma);
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if (abs > 3) return sigma > 0 ? 'extreme_warm' : 'extreme_cool';
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if (abs > 2) return sigma > 0 ? 'anomaly_warm' : 'anomaly_cool';
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if (abs > 1) return sigma > 0 ? 'warm' : 'cool';
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return 'normal';
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}
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const SEVERITY: Record<AnomalyCategory, number> = {
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unknown: -1, normal: 0, cool: 1, warm: 1,
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anomaly_cool: 2, anomaly_warm: 2,
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extreme_cool: 3, extreme_warm: 3,
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};
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async function buildWindow(
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dept: string,
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days: DayObservation[],
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windowSize: number,
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): Promise<Omit<Anomaly, 'txCategory'> & { txCategory: AnomalyCategory }> {
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const recent = days.slice(-windowSize);
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// Comparer chaque jour observé à SA normale du jour, puis moyenner les écarts.
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// Plus juste que de moyenner les T° et comparer à une normale moyennée.
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const data = await loadNormales();
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const arr = data[dept];
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let txN = 0, txSumDiff = 0, txSumStd2 = 0, txSumTx = 0;
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let tnN = 0, tnSumDiff = 0, tnSumStd2 = 0, tnSumTn = 0;
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let normaleTxSum = 0, normaleTxN = 0, normaleTnSum = 0, normaleTnN = 0;
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for (const d of recent) {
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if (!arr) break;
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const doy = dayOfYear(new Date(d.date));
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const n = arr[doy - 1];
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if (!n) continue;
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if (d.tx !== null && n.tx !== null) {
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txN++;
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txSumDiff += d.tx - n.tx;
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txSumStd2 += n.txStd * n.txStd;
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txSumTx += d.tx;
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normaleTxSum += n.tx; normaleTxN++;
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}
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if (d.tn !== null && n.tn !== null) {
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tnN++;
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tnSumDiff += d.tn - n.tn;
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tnSumStd2 += n.tnStd * n.tnStd;
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tnSumTn += d.tn;
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normaleTnSum += n.tn; normaleTnN++;
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}
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}
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const meanTx = txN > 0 ? +(txSumTx / txN).toFixed(1) : null;
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const meanTn = tnN > 0 ? +(tnSumTn / tnN).toFixed(1) : null;
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const normaleTx = normaleTxN > 0 ? +(normaleTxSum / normaleTxN).toFixed(1) : null;
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const normaleTn = normaleTnN > 0 ? +(normaleTnSum / normaleTnN).toFixed(1) : null;
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const diffTx = txN > 0 ? +(txSumDiff / txN).toFixed(1) : null;
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const diffTn = tnN > 0 ? +(tnSumDiff / tnN).toFixed(1) : null;
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// σ effectif = racine de la moyenne des variances (combinaison de jours différents)
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const stdTx = txN > 0 ? Math.sqrt(txSumStd2 / txN) : 0;
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const stdTn = tnN > 0 ? Math.sqrt(tnSumStd2 / tnN) : 0;
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const sigmaTx = diffTx !== null && stdTx > 0 ? +(diffTx / stdTx).toFixed(2) : null;
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const sigmaTn = diffTn !== null && stdTn > 0 ? +(diffTn / stdTn).toFixed(2) : null;
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return {
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windowDays: recent.length, meanTx, meanTn,
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normaleTx, normaleTn, diffTx, diffTn, sigmaTx, sigmaTn,
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txCategory: categorize(sigmaTx),
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};
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}
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export async function computeAnomaly(dept: string, days: DayObservation[]): Promise<Anomaly | null> {
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if (days.length === 0) return null;
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const w3 = await buildWindow(dept, days, 3);
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const w7 = await buildWindow(dept, days, 7);
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const worst = (SEVERITY[w3.txCategory] ?? -1) >= (SEVERITY[w7.txCategory] ?? -1) ? w3 : w7;
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return worst;
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}
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// Compat : ancien helper utilisé ailleurs si présent
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export async function normaleForMonth(dept: string, month: number): Promise<{ tx: number | null; tn: number | null; txStd: number; tnStd: number } | null> {
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const data = await loadNormales();
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const arr = data[dept];
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if (!arr) return null;
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// Moyenne les normales du mois pour rétro-compat
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const mid = new Date(Date.UTC(2024, month - 1, 15));
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const doy = dayOfYear(mid);
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const n = arr[doy - 1];
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if (!n) return null;
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return { tx: n.tx, tn: n.tn, txStd: n.txStd, tnStd: n.tnStd };
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}
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