feat: WTI/Brent via Stooq, PMI scraping (TE), Groq replace Bytez

- drivers: switch Brent (cb.f) and WTI (cl.f) from stale FRED to Stooq
  near-real-time futures — same stooqMetal() already used for gold/silver
- macro: add scrapePMI() to scrape Trading Economics meta description for
  manufacturing-pmi and services-pmi for all 8 currencies (no API key needed)
- narrative: replace dead Bytez API with Groq (OpenAI-compatible, free tier)
  env var renamed BYTEZ_API_KEY → GROQ_API_KEY, model llama-3.1-8b-instant
- NarrativeButton: rebrand "Erreur Bytez" / "Bytez AI" → "Erreur IA" / "Groq AI"

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

app/api/drivers/route.ts

@@ -105,12 +105,16 @@ export async function GET() {
 
   // 1. Marchés indices — FRED (données fin de journée, cache 24h)
   //    VIXCLS = VIX clôture CBOE | SP500 = S&P 500
-  //    DCOILBRENTEU = Brent | DCOILWTICO = WTI
-  const [vixQ, sp500Q, brentQ, wtiQ] = await Promise.all([
-    fredObsDelta("VIXCLS",       fredKey),
-    fredObsDelta("SP500",        fredKey),
-    fredObsDelta("DCOILBRENTEU", fredKey),
-    fredObsDelta("DCOILWTICO",   fredKey),
+  const [vixQ, sp500Q] = await Promise.all([
+    fredObsDelta("VIXCLS", fredKey),
+    fredObsDelta("SP500",  fredKey),
+  ]);
+
+  // Pétrole — Stooq futures (quasi temps réel, cache 5 min, sans clé API)
+  //   cl.f = WTI NYMEX | cb.f = Brent ICE  → delta = variation intraday vs ouverture
+  const [brentQ, wtiQ] = await Promise.all([
+    stooqMetal("cb.f"),
+    stooqMetal("cl.f"),
   ]);
 
   // 2. Métaux précieux — Stooq (quasi temps réel, cache 5 min, sans clé API)

app/api/macro/route.ts

@@ -79,6 +79,63 @@ async function boeRate() {
   } catch { return []; }
 }
 
+// ── Trading Economics PMI scraping ───────────────────────────────────────────
+// URL pattern: https://tradingeconomics.com/{country}/{indicator}
+// Source : balise <meta name="description"> dans le HTML
+// Ex: "Manufacturing PMI in the United States increased to 55.30 points in May
+//      from 54.50 points in April of 2026"
+
+const TE_COUNTRY: Record<string, string> = {
+  USD: "united-states",
+  EUR: "euro-area",
+  GBP: "united-kingdom",
+  JPY: "japan",
+  CHF: "switzerland",
+  CAD: "canada",
+  AUD: "australia",
+  NZD: "new-zealand",
+};
+
+async function scrapePMI(
+  currency: string,
+  indicator: "manufacturing-pmi" | "services-pmi"
+): Promise<{ value: number | null; prev: number | null }> {
+  const country = TE_COUNTRY[currency];
+  if (!country) return { value: null, prev: null };
+  try {
+    const url = `https://tradingeconomics.com/${country}/${indicator}`;
+    const res  = await fetch(url, {
+      next: { revalidate: 3600 }, // cache 1h — données PMI mensuelles
+      headers: {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
+        "Accept-Language": "en-US,en;q=0.9",
+      },
+    });
+    if (!res.ok) return { value: null, prev: null };
+    const html = await res.text();
+    // Cherche la balise meta description
+    const metaMatch = html.match(/<meta\s+name=["']description["']\s+content=["']([^"']+)["']/i)
+                   ?? html.match(/<meta\s+content=["']([^"']+)["']\s+name=["']description["']/i);
+    if (!metaMatch) return { value: null, prev: null };
+    const desc = metaMatch[1];
+    // Extraction : "...to XX.XX points in ... from YY.YY points..."
+    const numRe = /(?:increased|decreased|declined|rose|fell|unchanged)\s+to\s+([\d.]+)\s+points?.+?from\s+([\d.]+)\s+points?/i;
+    const m = desc.match(numRe);
+    if (!m) {
+      // Fallback : premier et deuxième nombre dans la description
+      const nums = desc.match(/\b(\d{1,3}\.\d{1,2})\b/g);
+      if (nums && nums.length >= 1) {
+        return {
+          value: parseFloat(nums[0]),
+          prev:  nums[1] ? parseFloat(nums[1]) : null,
+        };
+      }
+      return { value: null, prev: null };
+    }
+    return { value: parseFloat(m[1]), prev: parseFloat(m[2]) };
+  } catch { return { value: null, prev: null }; }
+}
+
 // ── Shared helpers ────────────────────────────────────────────────────────────
 
 type Obs = { date: string; value: number };
@@ -187,8 +244,26 @@ export async function GET(req: NextRequest) {
   for (const field of Object.keys(fieldMap)) {
     if (!(field in indicators)) indicators[field] = null;
   }
-  indicators.pmiMfg      = null;
-  indicators.pmiServices = null;
+  // ── PMI scraping (Trading Economics) ──────────────────────────────────────
+  const [pmiMfgRaw, pmiSvcRaw] = await Promise.all([
+    scrapePMI(currency, "manufacturing-pmi"),
+    scrapePMI(currency, "services-pmi"),
+  ]);
+
+  // Convertit le résultat { value, prev } en format Indicator (surprise = diff)
+  const toPmiIndicator = (raw: { value: number | null; prev: number | null }) => {
+    if (raw.value === null) return null;
+    const surprise = raw.prev !== null ? parseFloat((raw.value - raw.prev).toFixed(2)) : null;
+    return {
+      value:       raw.value,
+      prev:        raw.prev,
+      surprise,
+      trend:       surprise !== null ? (surprise > 0 ? "up" : surprise < 0 ? "down" : "flat") as "up"|"down"|"flat" : null,
+      lastUpdated: null,
+    };
+  };
+  indicators.pmiMfg      = toPmiIndicator(pmiMfgRaw);
+  indicators.pmiServices = toPmiIndicator(pmiSvcRaw);
 
   const data = { currency, indicators, fetchedAt: new Date().toISOString() };
   _cache.set(currency, { data, ts: Date.now() });

app/api/narrative/route.ts

@@ -1,10 +1,10 @@
 import { NextRequest, NextResponse } from "next/server";
 import OpenAI from "openai";
 
-// Bytez uses an OpenAI-compatible API
-const bytez = new OpenAI({
-  apiKey: process.env.BYTEZ_API_KEY ?? "",
-  baseURL: "https://api.bytez.com/models/openai",
+// Groq — API OpenAI-compatible, niveau gratuit, modèles Llama
+const groq = new OpenAI({
+  apiKey: process.env.GROQ_API_KEY ?? "",
+  baseURL: "https://api.groq.com/openai/v1",
 });
 
 const SYSTEM_PROMPT = `Tu es un analyste macro Forex senior. Tu analyses les données macroéconomiques de 8 devises majeures (USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD) et tu fournis des synthèses concises et actionnables pour un trader particulier.
@@ -19,9 +19,9 @@ Tes analyses sont :
 Format de réponse : texte court, 80-120 mots maximum par devise.`;
 
 export async function POST(req: NextRequest) {
-  const apiKey = process.env.BYTEZ_API_KEY;
+  const apiKey = process.env.GROQ_API_KEY;
   if (!apiKey) {
-    return NextResponse.json({ error: "BYTEZ_API_KEY not configured" }, { status: 503 });
+    return NextResponse.json({ error: "GROQ_API_KEY not configured" }, { status: 503 });
   }
 
   let body: {
@@ -81,8 +81,8 @@ Résumé en 3 points : situation actuelle, signal directionnel, risque principal
   }
 
   try {
-    const completion = await bytez.chat.completions.create({
-      model: "meta-llama/Llama-3.1-8B-Instruct",
+    const completion = await groq.chat.completions.create({
+      model: "llama-3.1-8b-instant",
       messages: [
         { role: "system", content: SYSTEM_PROMPT },
         { role: "user", content: userMessage },
@@ -95,6 +95,6 @@ Résumé en 3 points : situation actuelle, signal directionnel, risque principal
     return NextResponse.json({ analysis: text, model: completion.model, mode });
   } catch (err: unknown) {
     const message = err instanceof Error ? err.message : String(err);
-    return NextResponse.json({ error: `Bytez error: ${message}` }, { status: 502 });
+    return NextResponse.json({ error: `Groq error: ${message}` }, { status: 502 });
   }
 }

components/NarrativeButton.tsx

@@ -53,7 +53,7 @@ export default function NarrativeButton({ currency, indicators, macroScore }: Pr
 
       {error && (
         <span className="text-[10px] text-red-500 truncate max-w-[140px]" title={error}>
-          Erreur Bytez
+          Erreur IA
         </span>
       )}
 
@@ -66,7 +66,7 @@ export default function NarrativeButton({ currency, indicators, macroScore }: Pr
             <div className="flex items-center justify-between mb-3">
               <div className="flex items-center gap-2">
                 <Sparkles size={15} className="text-indigo-500" />
-                <span className="font-medium text-sm">Analyse {currency} — Bytez AI</span>
+                <span className="font-medium text-sm">Analyse {currency} — Groq AI</span>
               </div>
               <button onClick={() => setOpen(false)} className="text-gray-400 hover:text-gray-700">
                 <X size={15} />
@@ -74,7 +74,7 @@ export default function NarrativeButton({ currency, indicators, macroScore }: Pr
             </div>
             <p className="text-sm text-gray-700 leading-relaxed whitespace-pre-wrap">{analysis}</p>
             <div className="mt-3 text-[10px] text-gray-400 text-right">
-              Powered by Bytez · Llama 3.1 8B
+              Powered by Groq · Llama 3.1 8B
             </div>
           </div>
         </div>