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/profiles.py

@@ -0,0 +1,88 @@
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel
+from typing import Optional
+from services.database import get_risk_profiles, upsert_risk_profile, delete_risk_profile, _compute_trade_score
+
+router = APIRouter(prefix="/api/profiles", tags=["profiles"])
+
+
+class RiskProfileRequest(BaseModel):
+    id: Optional[int] = None
+    name: str
+    min_score: int
+    min_gain_pct: float
+    color: Optional[str] = "#3b82f6"
+    enabled: Optional[bool] = True
+    sort_order: Optional[int] = 0
+
+
+@router.get("")
+def list_profiles():
+    """List all risk profiles ordered by sort_order."""
+    profiles = get_risk_profiles()
+    # Annotate each profile with the EV breakeven info
+    result = []
+    for p in profiles:
+        # At the exact frontier: score = min_score, gain = min_gain_pct
+        _, ev_net, trade_score = _compute_trade_score(p["min_score"], p["min_gain_pct"])
+        result.append({
+            **p,
+            "ev_net_at_frontier": round(ev_net, 3),
+            "trade_score_at_frontier": trade_score,
+        })
+    return {"profiles": result}
+
+
+@router.post("")
+def create_profile(req: RiskProfileRequest):
+    """Create a new risk profile."""
+    if not (0 <= req.min_score <= 100):
+        raise HTTPException(400, "min_score must be between 0 and 100")
+    if req.min_gain_pct < 0:
+        raise HTTPException(400, "min_gain_pct must be >= 0")
+    pid = upsert_risk_profile(req.model_dump())
+    profiles = get_risk_profiles()
+    return {"id": pid, "profiles": profiles}
+
+
+@router.put("/{profile_id}")
+def update_profile(profile_id: int, req: RiskProfileRequest):
+    """Update an existing risk profile."""
+    if not (0 <= req.min_score <= 100):
+        raise HTTPException(400, "min_score must be between 0 and 100")
+    data = req.model_dump()
+    data["id"] = profile_id
+    upsert_risk_profile(data)
+    return {"profiles": get_risk_profiles()}
+
+
+@router.delete("/{profile_id}")
+def remove_profile(profile_id: int):
+    """Delete a risk profile."""
+    profiles = get_risk_profiles()
+    if len([p for p in profiles if p["enabled"]]) <= 1:
+        # Allow deletion but warn
+        pass
+    delete_risk_profile(profile_id)
+    return {"profiles": get_risk_profiles()}
+
+
+@router.get("/preview")
+def preview_score(score: int = 50, gain_pct: float = 100.0):
+    """
+    Preview the trade metrics for a given (score, gain_pct) pair.
+    Useful for the Config UI slider simulation.
+    """
+    ev_gross, ev_net, trade_score = _compute_trade_score(score, gain_pct)
+    profiles = get_risk_profiles(enabled_only=True)
+    from services.database import _matches_profile
+    matched = _matches_profile(score, gain_pct, profiles)
+    return {
+        "score": score,
+        "gain_pct": gain_pct,
+        "ev_gross": ev_gross,
+        "ev_net": ev_net,
+        "trade_score": trade_score,
+        "matched_profile": matched,
+        "accepted": matched is not None,
+    }