Files
Profeto/src/api/routes/backtest.py
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Python

"""回测路由。"""
from __future__ import annotations
import logging
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel, Field
from src.api.deps import require_admin
from src.llm.backtest import run_backtest
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1", tags=["backtest"])
class BacktestRequest(BaseModel):
league_id: int | None = Field(None, description="联赛 ID")
date_from: str | None = Field(None, description="起始日期 YYYY-MM-DD")
date_to: str | None = Field(None, description="结束日期 YYYY-MM-DD")
mode: str = Field("single", description="预测模式: single(快) / multi(多 agent)")
limit: int = Field(20, ge=1, le=200, description="最大回测场数")
model: str | None = Field(None, description="指定模型 (空=默认)")
@router.post("/backtest", dependencies=[Depends(require_admin)])
async def backtest(req: BacktestRequest):
"""对历史比赛运行回测。
该接口会对每场已完赛比赛各发起一次 LLM 预测,成本高 —— 因此需要
管理员鉴权(require_admin)。
对每场已完赛比赛:
1. 用比赛之前的数据构建上下文 (防未来信息泄漏,cutoff=match_date-1天)
2. 调 LLM 预测(强制 use_cache=False,避免缓存命中导致反复 settle 同一行)
3. 用实际比分回填(settle)
4. 统计准确率 / RMSE / 校准度
限流:单请求上限 200 场(默认 20),避免一次打爆 LLM 额度。
回测写入 run_type='backtest',与实盘(live)互不覆盖(唯一键含 run_type)。
"""
try:
summary = await run_backtest(
league_id=req.league_id,
date_from=req.date_from,
date_to=req.date_to,
mode=req.mode,
limit=req.limit,
model=req.model,
)
except Exception as e:
logger.exception("backtest failed")
raise HTTPException(500, "回测执行失败,请查看服务器日志")
return {
"summary": {
"total": summary.total,
"scored": summary.scored,
"success": summary.success,
"degraded": summary.degraded,
"accuracy_1x2": summary.accuracy_1x2,
"avg_score_rmse": summary.avg_score_rmse,
"avg_subjective_confidence": summary.avg_subjective_confidence,
},
"results": [
{
"match_id": r.match_id,
"league_code": r.league_code,
"home_team": r.home_team,
"away_team": r.away_team,
"home_team_zh": r.home_team_zh,
"away_team_zh": r.away_team_zh,
"match_date": r.match_date,
"actual_score": f"{r.actual_home}-{r.actual_away}",
"actual_1x2": r.actual_1x2,
"pred_home": r.pred_home,
"pred_away": r.pred_away,
"pred_1x2": r.pred_1x2,
"subjective_confidence": r.subjective_confidence,
"correct_1x2": r.correct_1x2,
}
for r in summary.results
],
}