Initial commit — GeoOptions Intelligence Cockpit v2.0

Stack: FastAPI + React/TypeScript + SQLite + GPT-4o
Features: Radar géopolitique, Marchés, Régime Macro, Journal de Bord MTM,
Rapport IA, Super Contexte (base de raisonnement évolutive), Boucle feedback IA.
Deploy: Docker + docker-compose + nginx pour openfin.open-squared.tech

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

backend/routers/geopolitical.py

@@ -0,0 +1,72 @@
+from fastapi import APIRouter, Query
+from typing import Optional, List
+from services.data_fetcher import fetch_geo_news, get_economic_calendar
+from services.geo_analyzer import compute_geo_risk_score, match_patterns, generate_trade_ideas, compute_pattern_relevance
+from services.database import get_custom_patterns
+from datetime import datetime, timezone, timedelta
+
+router = APIRouter(prefix="/api/geo", tags=["geopolitical"])
+
+_news_cache: dict = {"data": [], "ts": 0}
+
+
+@router.get("/news")
+def geo_news(force_refresh: bool = False):
+    import time
+    now = time.time()
+    if not force_refresh and _news_cache["data"] and (now - _news_cache["ts"]) < 3600:
+        return _news_cache["data"]
+    news = fetch_geo_news()
+    _news_cache["data"] = news
+    _news_cache["ts"] = now
+    return news
+
+
+@router.get("/risk-score")
+def risk_score():
+    news = _news_cache["data"] or fetch_geo_news()
+    return compute_geo_risk_score(news)
+
+
+@router.get("/pattern-matches")
+def pattern_matches():
+    news = _news_cache["data"] or fetch_geo_news()
+    all_patterns = get_custom_patterns()
+    return match_patterns(news, patterns=all_patterns)
+
+
+@router.get("/pattern-relevance")
+def pattern_relevance(days: int = 2):
+    """Return ALL active patterns with news-keyword relevance over the last N days."""
+    all_news = _news_cache["data"] or fetch_geo_news()
+    # Filter news to last N days
+    if days > 0:
+        cutoff = datetime.now(timezone.utc) - timedelta(days=days)
+        recent: list = []
+        for n in all_news:
+            try:
+                from email.utils import parsedate_to_datetime
+                d = parsedate_to_datetime(str(n.get("date", "")))
+                if d >= cutoff:
+                    recent.append(n)
+            except Exception:
+                recent.append(n)
+        news = recent if recent else all_news
+    else:
+        news = all_news
+    all_patterns = get_custom_patterns()
+    return compute_pattern_relevance(news, patterns=all_patterns)
+
+
+@router.get("/trade-ideas")
+def trade_ideas():
+    news = _news_cache["data"] or fetch_geo_news()
+    all_patterns = get_custom_patterns()
+    matches = match_patterns(news, patterns=all_patterns)
+    geo_score = compute_geo_risk_score(news)
+    return generate_trade_ideas(matches, geo_score)
+
+
+@router.get("/calendar")
+def calendar():
+    return get_economic_calendar()