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>
75 lines
2.8 KiB
Python
75 lines
2.8 KiB
Python
from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel
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from typing import Optional
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from services.database import get_cycle_runs, get_cycle_run, set_config, get_config
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from services.auto_cycle import get_status, trigger_manual, restart_scheduler
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router = APIRouter(prefix="/api/cycle", tags=["cycle"])
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@router.get("/status")
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def cycle_status():
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"""Current scheduler state + last cycle summary."""
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return get_status()
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@router.get("/history")
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def cycle_history(limit: int = 20):
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"""List recent cycle runs."""
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runs = get_cycle_runs(limit=limit)
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# Parse commentary JSON for frontend
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import json
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for r in runs:
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if r.get("commentary"):
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try:
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r["commentary_parsed"] = json.loads(r["commentary"])
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except Exception:
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r["commentary_parsed"] = {"commentary": r["commentary"]}
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return {"runs": runs, "count": len(runs)}
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@router.post("/trigger")
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def trigger_cycle():
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"""Manually trigger one cycle immediately (non-blocking)."""
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key = get_config("openai_api_key") or ""
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if not key:
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raise HTTPException(400, "Clé OpenAI non configurée")
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trigger_manual()
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return {"triggered": True, "message": "Cycle lancé en arrière-plan"}
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class CycleConfigRequest(BaseModel):
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enabled: Optional[bool] = None
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interval_hours: Optional[float] = None
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similarity_threshold: Optional[float] = None
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min_ev_threshold: Optional[float] = None
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min_score_threshold: Optional[int] = None
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@router.post("/config")
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def update_cycle_config(req: CycleConfigRequest):
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"""Update auto-cycle + filter configuration and restart scheduler."""
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if req.enabled is not None:
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set_config("auto_cycle_enabled", "true" if req.enabled else "false")
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if req.interval_hours is not None:
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if not (0.5 <= req.interval_hours <= 24):
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raise HTTPException(400, "interval_hours must be between 0.5 and 24")
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set_config("auto_cycle_hours", str(req.interval_hours))
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if req.similarity_threshold is not None:
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if not (0.0 <= req.similarity_threshold <= 1.0):
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raise HTTPException(400, "similarity_threshold must be between 0 and 1")
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set_config("auto_cycle_similarity_threshold", str(req.similarity_threshold))
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if req.min_ev_threshold is not None:
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if not (0.0 <= req.min_ev_threshold <= 1.0):
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raise HTTPException(400, "min_ev_threshold must be between 0 and 1")
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set_config("min_ev_threshold", str(req.min_ev_threshold))
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if req.min_score_threshold is not None:
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if not (0 <= req.min_score_threshold <= 100):
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raise HTTPException(400, "min_score_threshold must be between 0 and 100")
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set_config("min_score_threshold", str(req.min_score_threshold))
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# Restart scheduler to pick up changes
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restart_scheduler()
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return get_status()
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