feat: AI-enriched news scoring + directional alignment on pattern matching

Hook ai_score_news_batch() into /api/geo/news so every news fetch is enriched
by GPT-4o-mini: corrected impact_score, ai_dir_energy/metals/indices, ai_resolution
(ceasefire/peace deal flag), ai_insight (1 French sentence). Gracefully no-ops
when OpenAI is not configured.

Add _compute_ai_alignment() in geo_analyzer: for each pattern compares the news
AI directional signals against the pattern's expected_move direction and produces
a -25..+25 bonus injected into similarity/relevance scores. Contra-signals
(e.g. peace deal → oil bearish while pattern expects oil spike) are flagged.

Frontend GeoRadar: PatternRelevanceCard shows AI alignment badge (green = aligned,
red = contra-signal) + base relevance diff + AI insights. NewsCard shows ai_insight,
directional arrows per asset class (⛽↑ 🥇↓) and resolution badge when expanded.

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

frontend/src/pages/GeoRadar.tsx

@@ -2,7 +2,7 @@ import { useState } from 'react'
 import { useGeoNews, usePatternRelevance, useGeoRiskScore } from '../hooks/useApi'
 import clsx from 'clsx'
 import type { GeoNews } from '../types'
-import { Globe, ExternalLink, Search } from 'lucide-react'
+import { Globe, ExternalLink, Search, Brain } from 'lucide-react'
 
 const CATEGORY_COLORS: Record<string, string> = {
   military: 'badge-red', sanctions: 'badge-orange', elections: 'badge-purple',
@@ -67,6 +67,33 @@ function NewsCard({ news }: { news: GeoNews }) {
 
       {expanded && (
         <>
+          {/* AI insight */}
+          {(news as any).ai_insight && (
+            <div className="flex items-start gap-1.5 mb-2 text-xs text-blue-300 italic bg-blue-900/10 border border-blue-800/30 rounded px-2 py-1">
+              <Brain className="w-3 h-3 mt-0.5 shrink-0 text-blue-400" />
+              {(news as any).ai_insight}
+            </div>
+          )}
+          {/* AI directional signals */}
+          {((news as any).ai_dir_energy || (news as any).ai_dir_metals || (news as any).ai_dir_indices) && (
+            <div className="flex gap-1 flex-wrap mb-2">
+              {(['ai_dir_energy', 'ai_dir_metals', 'ai_dir_indices'] as const).map(field => {
+                const dir = (news as any)[field]
+                if (!dir || dir === 'neutral') return null
+                const labels: Record<string, string> = { ai_dir_energy: '⛽', ai_dir_metals: '🥇', ai_dir_indices: '📊' }
+                return (
+                  <span key={field} className={clsx('text-[10px] px-1.5 py-0.5 rounded font-semibold',
+                    dir === 'bullish' ? 'bg-emerald-900/40 text-emerald-400' : 'bg-red-900/40 text-red-400'
+                  )}>
+                    {labels[field]} {dir === 'bullish' ? '↑' : '↓'}
+                  </span>
+                )
+              })}
+              {(news as any).ai_resolution && (
+                <span className="text-[10px] px-1.5 py-0.5 rounded bg-blue-900/30 text-blue-400">🕊 résolution</span>
+              )}
+            </div>
+          )}
           <p className="text-xs text-slate-400 leading-relaxed mb-3">{news.summary}</p>
           {Object.keys(news.asset_impacts).length > 0 && (
             <div className="mb-3">
@@ -135,9 +162,25 @@ function PatternRelevanceCard({ p }: { p: any }) {
                 <Search className="w-2.5 h-2.5" />{p.matching_news.length} news
               </span>
             )}
+            {/* AI alignment badge */}
+            {p.ai_scored_count > 0 && p.ai_alignment !== 0 && (
+              <span className={clsx('text-[10px] px-1.5 py-0.5 rounded flex items-center gap-0.5 font-semibold',
+                p.ai_contra_signal
+                  ? 'bg-red-900/30 text-red-400 border border-red-700/30'
+                  : 'bg-emerald-900/30 text-emerald-400 border border-emerald-700/30'
+              )}>
+                <Brain className="w-2.5 h-2.5" />
+                {p.ai_contra_signal ? `contre-signal (${p.ai_alignment > 0 ? '+' : ''}${p.ai_alignment}pts)` : `IA aligné (+${p.ai_alignment}pts)`}
+              </span>
+            )}
           </div>
         </div>
-        <RelevanceBar pct={p.relevance} />
+        <div className="text-right">
+          <RelevanceBar pct={p.relevance} />
+          {p.base_relevance !== undefined && p.ai_alignment !== 0 && (
+            <div className="text-[10px] text-slate-600 mt-0.5">base {p.base_relevance}%</div>
+          )}
+        </div>
       </div>
 
       {/* Matched keywords */}
@@ -151,6 +194,18 @@ function PatternRelevanceCard({ p }: { p: any }) {
         </div>
       )}
 
+      {/* AI insights */}
+      {p.ai_insights?.length > 0 && (
+        <div className="mb-2 space-y-1">
+          {p.ai_insights.map((insight: string, i: number) => (
+            <div key={i} className="flex items-start gap-1 text-[10px] text-blue-300 italic">
+              <Brain className="w-2.5 h-2.5 mt-0.5 shrink-0 text-blue-400" />
+              {insight}
+            </div>
+          ))}
+        </div>
+      )}
+
       {/* Toggle matching news */}
       {hasNews && (
         <>