Files
Profeto/src/llm/slices/h2h.py
T
shangfangjian 63caa6736c fix(P0-01): missing score 不得变 0:0 — score_status + CHECK 约束
新增 matches.score_status(known/missing/unknown):
- 替换 ck_matches_finished_has_score 为 ck_matches_score_integrity:
  known → 必须有分; missing/unknown → goals 必须 NULL(不伪造 0:0)
- normalize: 完赛缺分不再静默降级为 scheduled,改设 score_status=missing
- events ingest: 创建/更新 Match 同步 score_status(比分由缺变 known / 确认缺分 missing)
- slices(form/h2h/home_away)/backtest: 显式加 score_status='known' 过滤完赛样本
- 迁移 0022 回填现有数据(绝不 UPDATE goals=0)

测试 tests/test_p0_score_status.py(9/9):约束存在性/Match 构造/normalize 行为。
54 相关测试全绿。
2026-09-22 02:32:53 +08:00

90 lines
3.9 KiB
Python

"""E - 历史交锋切片: 交手史与胜负规律(h2h)。"""
from __future__ import annotations
from typing import TYPE_CHECKING
from sqlalchemy import select
from sqlalchemy.orm import selectinload
from src.db.base import AsyncSessionLocal
from src.db.models import Match
from src.llm.slices.common import MatchHeader, SliceResult
if TYPE_CHECKING:
from sqlalchemy.ext.asyncio import AsyncSession
async def h2h_slice(header: MatchHeader, *, limit: int = 8, before=None, db: AsyncSession | None = None) -> SliceResult:
"""E - 历史交锋切片: 过去数年 + 近期交手数据,提取交手规律。before=match_date 用于回测。
db: 可选共享 session,避免每个切片独立建连(见 context_builder 模块 docstring)。
"""
if db is not None:
h2h = await _get_h2h(db, header.home_team_id, header.away_team_id, before=before, limit=limit)
else:
async with AsyncSessionLocal() as new_db:
h2h = await _get_h2h(new_db, header.home_team_id, header.away_team_id, before=before, limit=limit)
lines = [f"── 历史交锋(近 {limit} 次) ──"]
n_with_score = 0
if h2h:
# 从当前主队视角统计:判断当前主队在每场交锋中是主是客
current_home_wins = current_home_draws = current_home_losses = 0
for hm in h2h:
d = hm.match_date.strftime("%Y-%m") if hm.match_date else "?"
if hm.home_goals is not None:
n_with_score += 1
# 判断当前主队当时是主队还是客队
if hm.home_team_id == header.home_team_id:
# 当前主队当时是主队
if hm.home_goals > hm.away_goals:
current_home_wins += 1
elif hm.home_goals == hm.away_goals:
current_home_draws += 1
else:
current_home_losses += 1
else:
# 当前主队当时是客队(从客队视角看赛果)
if hm.away_goals > hm.home_goals:
current_home_wins += 1
elif hm.away_goals == hm.home_goals:
current_home_draws += 1
else:
current_home_losses += 1
lines.append(f" {d}: {hm.home_team.name} {hm.home_goals}-{hm.away_goals} {hm.away_team.name}")
else:
lines.append(f" {d}: {hm.home_team.name} vs {hm.away_team.name} (无比分)")
total = current_home_wins + current_home_draws + current_home_losses
if total:
lines.append(
f" 总计 {total} 场(从当前主队 {header.home_name} 视角): "
f"{current_home_wins}{current_home_draws}{current_home_losses}负"
)
else:
lines.append(" 无数据")
# has_data 以「有比分的交锋」为准:仅有对阵无比分时不足以支撑分析
return SliceResult(text="\n".join(lines), has_data=n_with_score > 0, n_records=n_with_score)
async def _get_h2h(db, home_id: int, away_id: int, before, *, limit: int = 5) -> list[Match]:
"""两队交锋史。需预加载 home_team / away_team(切片输出队名)。"""
stmt = (
select(Match)
.options(
selectinload(Match.home_team),
selectinload(Match.away_team),
)
.where(Match.match_status == "finished")
.where(Match.score_status == "known")
.where(Match.home_goals.is_not(None))
.where(
((Match.home_team_id == home_id) & (Match.away_team_id == away_id))
| ((Match.home_team_id == away_id) & (Match.away_team_id == home_id))
)
.order_by(Match.match_date.desc())
.limit(limit)
)
if before is not None:
stmt = stmt.where(Match.match_date < before)
result = await db.execute(stmt)
return list(result.scalars().all())