Files
OpenFin/backend/main.py
OpenSquared f09c5b8ee7 feat: Phase 2 — Pattern Reliability, Contre-thèses & Calibration probabiliste
Sprint 2.1 — Pattern Reliability Score
- database.py: get_pattern_reliability() — win_rate × log(n+1) sur trades matures (≥35% horizon)
- database.py: get_all_pattern_reliability_map() pour injection rapide dans les prompts
- ai_analyzer.py: inject reliability_map dans suggest_patterns (patterns fiables mis en avant)
- auto_cycle.py: charge reliability_map avant suggestion et le passe au suggéreur
- routers/analytics.py: GET /api/analytics/reliability
- PatternEditor.tsx: ReliabilityBadge sur chaque card + usePatternReliability hook
- useApi.ts: usePatternReliability, useCalibration hooks

Sprint 2.2 — Contre-thèses & Invalidation Triggers
- database.py: migration ALTER TABLE — counter_thesis, invalidation_trigger, invalidation_probability
- database.py: save_custom_pattern() persiste les 3 nouveaux champs
- ai_analyzer.py: counter_thesis + invalidation_trigger + invalidation_probability dans le JSON schema
- auto_cycle.py: détection automatique des triggers d'invalidation contre les news (keyword match)
- routers/analytics.py: GET /api/analytics/invalidation-alerts
- PatternEditor.tsx: affichage contre-thèse dans les cards + champs dans le formulaire
- PatternEditor.tsx: affichage dans AiSuggestModal (suggestions IA)
- routers/patterns.py: PatternRequest inclut les 3 nouveaux champs

Sprint 2.3 — Calibration probabiliste & Demi-vie KB
- database.py: migration — predicted_probability sur pattern_score_history
- database.py: save_pattern_scores() stocke probability du pattern à chaque scoring run
- database.py: get_calibration_data() — Brier score + buckets de calibration par décile
- database.py: expires_at + confidence_decay_days sur knowledge_base
- database.py: decay_kb_confidence() — decay automatique + archivage à 0
- auto_cycle.py: decay_kb_confidence() appelé au début de chaque cycle (non-bloquant)
- routers/analytics.py: GET /api/analytics/calibration + POST /api/analytics/kb/decay
- frontend/src/pages/Analytics.tsx: nouvelle page — tableau fiabilité + calibration Brier
- App.tsx + Sidebar.tsx: route /analytics + entrée menu

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-17 16:50:53 +02:00

90 lines
2.9 KiB
Python

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from routers import market_data, geopolitical, options, backtest, ai, portfolio, config, patterns, journal, cycle as cycle_router, profiles as profiles_router, reasoning as reasoning_router, knowledge as knowledge_router, options_vol as options_vol_router, analytics as analytics_router
from services.database import init_db, get_config, cleanup_stale_running_cycles
import os
import uvicorn
app = FastAPI(
title="GeoOptions Intelligence",
description="Geopolitical Options Trading Cockpit API",
version="2.0.0",
)
app.add_middleware(
CORSMiddleware,
allow_origins=["http://localhost:5173", "http://localhost:3000", "http://127.0.0.1:5173"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.on_event("startup")
def startup():
import logging
_log = logging.getLogger(__name__)
init_db()
# Clean up cycles that were left in 'running' state by a previous crashed process
stale = cleanup_stale_running_cycles()
if stale:
_log.warning(f"[Startup] Cleaned up {stale} stale 'running' cycle(s) — server likely reloaded mid-cycle")
# Sync OpenAI key: env var → DB (useful on fresh VPS deployments)
key = get_config("openai_api_key") or ""
if not key:
env_key = os.environ.get("OPENAI_API_KEY", "")
if env_key:
from services.database import set_config
set_config("openai_api_key", env_key)
key = env_key
_log.info("[Startup] OPENAI_API_KEY synced from environment to DB config")
if key:
os.environ["OPENAI_API_KEY"] = key
# Seed built-in patterns into DB (idempotent)
from services.geo_analyzer import GEO_PATTERNS
from services.database import seed_builtin_patterns
seed_builtin_patterns(GEO_PATTERNS)
# Start auto-cycle scheduler if enabled
from services.auto_cycle import start_scheduler
start_scheduler()
@app.on_event("shutdown")
def shutdown():
from services.auto_cycle import stop_scheduler
stop_scheduler()
app.include_router(market_data.router)
app.include_router(geopolitical.router)
app.include_router(options.router)
app.include_router(backtest.router)
app.include_router(ai.router)
app.include_router(portfolio.router)
app.include_router(config.router)
app.include_router(patterns.router)
app.include_router(journal.router)
app.include_router(cycle_router.router)
app.include_router(profiles_router.router)
app.include_router(reasoning_router.router)
app.include_router(knowledge_router.router)
app.include_router(options_vol_router.router)
app.include_router(analytics_router.router)
@app.get("/")
def root():
return {"app": "GeoOptions Intelligence Cockpit", "version": "2.0.0", "docs": "/docs"}
@app.get("/api/health")
def health():
return {"status": "ok", "version": "2.0.0"}
if __name__ == "__main__":
uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True)