d256b65d30
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>
78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
from fastapi import APIRouter, Query
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from typing import Optional, Dict, Any
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from datetime import datetime
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from services.data_fetcher import get_all_quotes, get_historical, compute_historical_iv, WATCHLIST
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_macro_cache: Dict[str, Any] = {}
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router = APIRouter(prefix="/api/market", tags=["market"])
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@router.get("/quotes")
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def quotes_all():
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return get_all_quotes()
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@router.get("/quote/{symbol}")
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def quote_single(symbol: str):
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from services.data_fetcher import get_quote
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return get_quote(symbol)
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@router.get("/history/{symbol}")
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def history(
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symbol: str,
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period: str = Query("1y", description="1d,5d,1mo,3mo,6mo,1y,2y,5y"),
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interval: str = Query("1d", description="1m,5m,15m,1h,1d,1wk,1mo"),
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):
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return get_historical(symbol, period, interval)
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@router.get("/iv/{symbol}")
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def implied_vol(symbol: str, window: int = 30):
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iv = compute_historical_iv(symbol, window)
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return {"symbol": symbol, "iv": iv, "window": window}
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@router.get("/watchlist")
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def watchlist():
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return WATCHLIST
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@router.get("/macro-regime")
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def macro_regime(force: bool = False):
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"""Macro gauge values + 5-scenario scoring. Cached 15 min."""
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from services.data_fetcher import get_macro_gauges, score_macro_scenarios
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now = datetime.utcnow()
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if not force and _macro_cache.get("data") and _macro_cache.get("ts"):
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age = (now - _macro_cache["ts"]).total_seconds()
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if age < 900:
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return {**_macro_cache["data"], "cached": True, "cache_age_sec": int(age)}
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gauges = get_macro_gauges()
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scenarios = score_macro_scenarios(gauges)
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result: Dict[str, Any] = {
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"gauges": gauges,
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"scenarios": scenarios,
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"fetched_at": now.isoformat(),
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"cached": False,
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}
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_macro_cache["data"] = result
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_macro_cache["ts"] = now
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if force:
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# Build a compact gauge summary (key → value + change_pct) for the journal
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gauges_summary = {
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k: {"value": v.get("value"), "change_pct": v.get("change_pct"), "label": v.get("label")}
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for k, v in gauges.items()
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if v.get("value") is not None or v.get("change_pct") is not None
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}
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from services.database import log_macro_regime
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log_macro_regime(
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dominant=scenarios.get("dominant", "incertain"),
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scores=scenarios.get("scores", {}),
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reasons=scenarios.get("reasons", {}),
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gauges_summary=gauges_summary,
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)
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return result
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