Author SHA1 Message Date
shangfangjian 7df46544b8 Merge branch 'main' into frontend-beautify 2026-09-15 19:59:13 +08:00
WorkBuddy d847f4f3f4 refactor(ui): 去 AI 味,重做为报刊赛程版视觉
- 色板收敛为纸白/暖墨/印报红三色,移除默认 Tailwind 蓝
- 队名彩色哈希块、shimmer/ping/fade-up 动效、圆角卡片阵全部移除
- 报头改为双线+居中宋体刊名+报眉日期行
- 赛程列表表格化:细线分行,联赛改为文字版面切换
- 预测版:方正墨线框,大号宋体比分,胜平负改文字行,专家意见改汉字编号折叠行,终裁改红竖线引文
- 修复:桌面状态列 sm:contents 错位;移动端对阵未同行
2026-09-15 19:56:23 +08:00
shangfangjian 29e718962f Merge pull request 'feat(ui): 清爽专业风设计系统重构,并修复 Tailwind 从未生效的配置缺陷' (#1) from frontend-beautify into main
Reviewed-on: #1
2026-09-15 19:01:22 +08:00
WorkBuddy e3cacc35e4 chore: 忽略本地审查/预览脚手架
.tools/ 与 .preview/ 为本机校验脚本与截图产物,不参与构建,不入库。
2026-09-15 17:45:21 +08:00
WorkBuddy 77d01450b1 feat(ui): 清爽专业风设计系统与界面重构
设计令牌(tailwind.config.js):
- brand 11 档蓝色阶、ink 11 档冷灰色阶、win/draw/loss 语义色
- 中文字体栈、tabular-nums 数字等宽、2xs 字号
- borderRadius card/pill、boxShadow card/raise/focus、fade-up/shimmer 动画

组件层(index.css):
- @layer base: 全局背景/字色/抗锯齿、统一焦点环、自定义滚动条,
  尊重 prefers-reduced-motion
- @layer components: .card .btn .field .pill .skeleton .segment

界面:
- App.tsx: SVG 队徽替代 emoji、sticky 毛玻璃头部、服务状态指示、页脚免责声明
- Matches.tsx: 比赛列表卡片化;新增 TeamMark(队名哈希色相队标)、
  EdgeBar(home_edge 双向可视化)、OutcomeCard、AgentCard(状态徽章+证据
  列表+无数据说明)、骨架屏;SVG Spinner 替代 emoji 转圈

可用性修复:
- 预测面板拆为独立的胜平负/置信度/模式/耗时卡片,胜平负与比分各有
  独立可视化条
- 移动端横向溢出:比赛行改为 flex-col -> sm:flex-row,元信息与操作按钮重排
- 无数据专家卡片补充说明文案,不再空白

保留原有契约:loadSeq/predictSeq 竞态防护、游标分页、全部类型定义。

验证:tsc --noEmit(strict)0 错误;vite build 成功;
360/390/414/768/1280px 五档实测 scrollWidth === viewport,零横向溢出。
2026-09-15 17:45:16 +08:00
WorkBuddy acea7e699d fix(frontend): 修复 postcss 配置误写导致 Tailwind 从未生效
postcss.config.js 中写入的是 Tailwind 的配置对象(content/theme/plugins),
缺少 PostCSS 插件注册所需的 plugins 字段,导致 PostCSS 从未加载 tailwindcss。
所有 className 上的 Tailwind 工具类一直是无效字符串,页面仅使用浏览器默认样式。

修复为标准写法 plugins: { tailwindcss: {}, autoprefixer: {} }。

验证:构建产物 CSS 由 1.81 kB 增至 24.66 kB,且不再残留未编译的
@tailwind / @apply / @layer 指令。
2026-09-15 17:45:10 +08:00
WorkBuddy f965650c10 test+docs: P0 回归测试与文档同步
回归测试(P0 三项,不依赖 DB 的静态断言):
- tests/test_regressions.py:
  · context_builder 三个查询函数 + backtest 必须 eager-load 关系
  · Match.{stats,home_team,away_team,league} 必须 lazy="selectin"
  · bzzoiro normalized_matches 必须携带并解包 (nm, raw) 配对
  这些是「集成方式」缺陷,原先的单元测试(全 mock slice_fn/provider)
  照不出来,故此专项静态锁定。

文档同步(修正与实际不符的表述):
- docs/01-architecture.md: app.py 标注改为「lifespan 仅验证连接,不建表」;
  补 deps.py / repositories.py / unit_of_work.py / validation.py /
  backtest.py / sources.py / http_client.py / retry.py;迁移范围改 0001~0006
- docs/07-development.md: 目录树修正 leagues.py→matches.py,补齐
  backtest.py / deps.py 及 0003~0006 迁移文件

附带: src/core/retry.py 加 NOTE 说明其当前无调用点(P3),
避免「看似有重试实则未生效」的误判。
2026-09-15 16:55:54 +08:00
WorkBuddy c89bfe2af7 fix(P2): no_data 结构化、权重校验、鉴权与前端竞态
P2-1 no_data 门控依赖文案子串(脆弱):
- context_builder 新增 SliceResult(text/has_data/n_records),
  5 个切片函数改为显式声明 has_data
- base._slice_has_data() 优先取结构化结果,str 返回仍走文案回退
  (兼容既有测试 mock 与自定义切片)
- build_context 的 has_stats/has_injuries 直接取切片声明

P2-2 agent_weights 无校验即落库:
- validation 新增 AgentWeightsSchema / validate_agent_weights:
  未知专家名丢弃、越界值钳制、总和非 1 时归一化
- orchestrator 落库前对 agent_weights 做校验

P2-3 1x2 与比分不一致被静默修正:
- 仍以比分修正,但补 logger.warning 暴露 LLM 自相矛盾

P2-5/P2-6 prompt 缓存不可刷新 + 缓存键不含模板内容:
- 新增 clear_prompt_cache() 供改模板后显式失效
- 缓存键纳入模板内容 hash,模板一改缓存自动失效

P2-7 ingest/backtest/settle 接口无鉴权:
- 新增 require_admin_key 依赖(X-API-Key),
  ADMIN_API_KEY 未设置时放行并告警(不破坏本地开发)
- 挂到 3 个 ingest 接口 + backtest + eval/settle

P2-8 前端请求竞态 + 未使用游标分页:
- Matches.tsx 用递增 seq 丢弃过期响应,避免旧筛选结果覆盖新筛选
- 接入后端已有的 cursor 分页 + 「加载更多」按钮

附带: .env.example 补齐 LLM_TIMEOUT / 分档模型 / ADMIN_API_KEY;
tests 新增 10 个用例覆盖 P2-1/2/3。
2026-09-15 16:54:05 +08:00
WorkBuddy 71bf723a10 fix(P1): 消除迁移漂移、回测缓存污染与历史数据越界风险
P1-1 schema/ORM 漂移:
- 新增 0006 迁移: 回填后 drop 幽灵列 predictions.cutoff_at,
  并幂等重建 ix_match_stats_available_at / ix_predictions_cutoff_at
- models.py 为 MatchStats / Prediction 声明上述两个索引,
  使 autogenerate 不再误建议删除

P1-2 迁移对历史越界数据不安全:
- 0004 在建 CHECK 约束前先 op.execute 清洗越界行
  (负数进球/置信度越界/非法 1x2/mode),避免 ALTER 中途失败
  导致迁移卡在半完成状态

P1-3 回测缓存污染:
- predict_match / _predict_single 新增 use_cache 参数,
  use_cache=False 时既不读也不写进程内缓存
- run_backtest 显式传 use_cache=False,避免 settle 到旧记录

P1-5 understat 关系属性访问:
- MatchRepository.find_by_teams_and_date 加 selectinload(Match.stats)

P1-6 日期键构造不统一:
- bzzoiro 抽取 _to_date()/_match_key() 统一去重键构造,
  消除 str(date) 与 isoformat() 的隐式格式依赖
2026-09-15 16:48:03 +08:00
WorkBuddy 235fb0de97 fix(P0): 修复三处静默失效的阻断缺陷
P0-1 backtest 会话生命周期:
- _get_historical_matches 加 selectinload(league/home_team/away_team),
  并在 session 内物化为 BacktestCandidate 纯数据快照,避免 session
  关闭后访问惰性关系抛 MissingGreenlet
- except 收窄并改用 logger.exception 保留堆栈
- 移除未使用的 and_ / League 导入

P0-2 切片函数关系属性 MissingGreenlet:
- models.py 为 Match.league/home_team/away_team/stats 声明 lazy=selectin
- context_builder 的 _get_form/_get_h2h/_get_home_away 显式 selectinload
  (修复 form_slice/h2h_slice 恒定失败,被 fail-open 掩盖的问题)
- repositories.find_by_teams_and_date 加 selectinload(Match.stats)

P0-3 bzzoiro raw 变量泄漏导致血缘错乱:
- normalized_matches 改为携带 (nm, raw) 元组,内层循环解包
- source_event_id / source_record_id 现在取到正确 event id
- 已有比赛补建 stats 时补齐 source/source_event_id/retrieved_at/available_at
- 抽取 _match_key()/_to_date() 统一日期键构造 (P1-6)
2026-09-15 16:45:09 +08:00
28 changed files with 1515 additions and 303 deletions
+10
View File
@@ -10,6 +10,11 @@ LLM_PROVIDER=openai
LLM_API_KEY=sk-xxxx
LLM_BASE_URL=https://api.openai.com/v1
LLM_MODEL=gpt-4o
# 多 Agent 分档模型(留空则回落 LLM_MODEL)
LLM_SPECIALIST_MODEL=
LLM_AGGREGATOR_MODEL=
# 单次 LLM 调用超时(秒)
LLM_TIMEOUT=60
# ---- 数据源 ----
BZZOIRO_KEY=
@@ -17,3 +22,8 @@ API_FOOTBALL_KEY=
# ---- CORS ----
CORS_ORIGINS=http://localhost:5173,http://localhost:3000
# ---- 管理接口鉴权 ----
# 采集/回测/回填接口的访问密钥(请求头 X-API-Key)。
# 留空 = 不启用鉴权(本地开发默认);生产环境必须设置强随机值。
ADMIN_API_KEY=
+4
View File
@@ -10,3 +10,7 @@ frontend/dist/
CLAUDE.md
docs/AGENTS.md
docs/agents/
# 本地审查/预览脚手架(不入库)
.tools/
.preview/
@@ -26,6 +26,21 @@ def upgrade() -> None:
op.add_column('predictions', sa.Column('input_hash', sa.String(length=64), nullable=True))
# 3. 新增 CHECK 约束
# 注意: 对已有数据行加 CHECK 约束时,若存在越界数据 ALTER TABLE 会中途失败,
# 导致迁移卡在半完成状态。这里先做一次性清洗(把越界值收敛到合法域),
# 再建约束,保证在非空库上也能成功。
op.execute("UPDATE predictions SET pred_home_goals = 0 WHERE pred_home_goals IS NOT NULL AND pred_home_goals < 0")
op.execute("UPDATE predictions SET pred_away_goals = 0 WHERE pred_away_goals IS NOT NULL AND pred_away_goals < 0")
op.execute(
"UPDATE predictions SET subjective_confidence = "
"CASE WHEN subjective_confidence < 0 THEN 0 "
" WHEN subjective_confidence > 1 THEN 1 ELSE subjective_confidence END "
"WHERE subjective_confidence IS NOT NULL "
" AND (subjective_confidence < 0 OR subjective_confidence > 1)"
)
op.execute("UPDATE predictions SET pred_1x2 = NULL WHERE pred_1x2 IS NOT NULL AND pred_1x2 NOT IN ('1', 'X', '2')")
op.execute("UPDATE predictions SET mode = 'single' WHERE mode IS NOT NULL AND mode NOT IN ('single', 'multi')")
op.create_check_constraint('ck_pred_home_goals_nonneg', 'predictions', 'pred_home_goals >= 0')
op.create_check_constraint('ck_pred_away_goals_nonneg', 'predictions', 'pred_away_goals >= 0')
op.create_check_constraint('ck_confidence_range', 'predictions', 'subjective_confidence >= 0 AND subjective_confidence <= 1')
@@ -0,0 +1,80 @@
"""清理 schema 与 ORM 模型的漂移
Revision ID: 0006_schema_model_drift_cleanup
Revises: 0005_prediction_status_and_stats_provenance
Create Date: 2026-09-15
背景(见代码审查报告 P1-1):
0005 迁移在 predictions 表留下了 `cutoff_at` 列(删除语句被注释掉),
但 ORM 模型 `Prediction` 中并无该字段 —— 这是一处会长期存在的 schema 漂移,
而 alembic autogenerate 会持续建议 drop 它,造成噪声。
同时 0005 创建的两个索引 `ix_match_stats_available_at` 与
`ix_predictions_cutoff_at` 未在 ORM 声明,autogenerate 会建议删除它们 ——
一旦被误删,数据血缘相关的时间过滤查询会退化为全表扫描。
本迁移做两件事:
1. drop 掉幽灵列 predictions.cutoff_at(数据已由 prediction_cutoff_at 承载,
迁移前先把非空值回填过去,避免丢数据)
2. 显式重建这两个索引(幂等:先 drop if exists 再 create),使 DB 状态与
修正后的 ORM 声明一致
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision: str = '0006_schema_model_drift_cleanup'
down_revision: Union[str, None] = '0005_prediction_status_and_stats_provenance'
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
bind = op.get_bind()
inspector = sa.inspect(bind)
# --- 1. 幽灵列 cutoff_at: 先把数据回填到 prediction_cutoff_at 再删除 ---
pred_cols = {c["name"] for c in inspector.get_columns("predictions")}
if "cutoff_at" in pred_cols:
if "prediction_cutoff_at" in pred_cols:
# 仅回填尚未有值的行,避免覆盖更权威的数据
op.execute(
"UPDATE predictions "
"SET prediction_cutoff_at = cutoff_at "
"WHERE prediction_cutoff_at IS NULL AND cutoff_at IS NOT NULL"
)
op.drop_column("predictions", "cutoff_at")
# --- 2. 与 ORM 声明对齐的索引(幂等重建) ---
stats_idx = {i["name"] for i in inspector.get_indexes("match_stats")}
if "ix_match_stats_available_at" not in stats_idx:
op.create_index("ix_match_stats_available_at", "match_stats", ["available_at"])
pred_idx = {i["name"] for i in inspector.get_indexes("predictions")}
if "ix_predictions_cutoff_at" not in pred_idx:
op.create_index(
"ix_predictions_cutoff_at", "predictions", ["prediction_cutoff_at"]
)
def downgrade() -> None:
bind = op.get_bind()
inspector = sa.inspect(bind)
# 恢复幽灵列(与 0005 的最终状态一致:列存在但无值)
pred_cols = {c["name"] for c in inspector.get_columns("predictions")}
if "cutoff_at" not in pred_cols:
op.add_column(
"predictions",
sa.Column("cutoff_at", sa.DateTime(timezone=True), nullable=True),
)
stats_idx = {i["name"] for i in inspector.get_indexes("match_stats")}
if "ix_match_stats_available_at" in stats_idx:
op.drop_index("ix_match_stats_available_at", table_name="match_stats")
pred_idx = {i["name"] for i in inspector.get_indexes("predictions")}
if "ix_predictions_cutoff_at" in pred_idx:
op.drop_index("ix_predictions_cutoff_at", table_name="predictions")
+18 -8
View File
@@ -57,38 +57,48 @@
Profeto/
├── src/
│ ├── api/
│ │ ├── app.py # FastAPI 工厂(lifespan 建表)
│ │ ├── app.py # FastAPI 工厂(lifespan 仅验证 DB 连接,不建表)
│ │ ├── deps.py # 依赖:管理接口鉴权(X-API-Key)
│ │ ├── schemas.py # Pydantic v2 请求/响应
│ │ └── routes/
│ │ ├── matches.py # 联赛/比赛查询(游标分页)
│ │ ├── predict.py # 预测 + 预测历史
│ │ ├── ingest.py # 采集触发(自管 session)
│ │ ── eval.py # 赛后回填 + 准确率汇总
│ │ ├── ingest.py # 采集触发(自管 session,需鉴权)
│ │ ── eval.py # 赛后回填 + 准确率汇总
│ │ └── backtest.py # 历史回测(需鉴权)
│ ├── db/
│ │ ├── base.py # async engine + get_db/get_db_read
│ │ ── models.py # 6 张表 ORM
│ │ ── models.py # 6 张表 ORM
│ │ ├── repositories.py # 仓储层
│ │ └── unit_of_work.py # 事务边界
│ ├── data/
│ │ ├── bzzoiro.py # 赛果采集 + 幂等入库
│ │ ├── understat.py # xG 回填
│ │ ├── injuries.py # 伤停采集(带文件缓存)
│ │ ├── normalize.py # NormalizedMatch 清洗契约
│ │ ├── team_names.py # 队名归一映射
│ │ ├── sources.py # 数据源注册表
│ │ └── config.py # 联赛代码映射
│ ├── llm/
│ │ ├── provider.py # OpenAI-compatible 抽象(共享连接池/JSON 兜底解析)
│ │ ├── context_builder.py # 数据切片(h2h/form/stats/home_away/injuries)+ 单 agent 拼接
│ │ ├── predict.py # 预测入口(mode 分派 + 缓存)
│ │ ├── eval.py # 准确率统计
│ │ ├── validation.py # LLM 输出严格校验(Pydantic)
│ │ ├── backtest.py # 回测执行
│ │ ├── agents/
│ │ │ ├── base.py # AgentSpec / AgentReport / run_agent
│ │ │ └── orchestrator.py # 并行专家 → 终裁 → 存库
│ │ └── prompts/
│ │ ├── match_prediction_v1/v2.md # 单 agent 模板
│ │ └── agents/{h2h,form,stats,home_away,injuries,aggregator}_v1.md
│ └── core/config.py # pydantic-settings
├── alembic/versions/ # 0001 建表 + 0002 agent 字段
├── frontend/src/pages/Matches.tsx # 单页(预测面板 + 专家报告折叠区)
├── tests/ # 33 项(核心 13 + agent 20)
│ └── core/
│ ├── config.py # pydantic-settings
│ ├── http_client.py # 共享 httpx 客户端
│ └── retry.py # 重试工具
├── alembic/versions/ # 0001~0006(0001 建表 → 0006 漂移清理)
├── frontend/src/pages/Matches.tsx # 单页(预测面板 + 专家报告折叠区 + 游标分页)
├── tests/ # 核心 + agent 测试
├── docker-compose.yml # api + postgres 两容器
└── docs/ # 本文档
```
+18 -5
View File
@@ -35,27 +35,34 @@ Profeto/
├── src/ # 后端源码
│ ├── api/
│ │ ├── routes/ # FastAPI 路由
│ │ │ ├── leagues.py # 联赛/比赛查询
│ │ │ ├── matches.py # 联赛/比赛查询
│ │ │ ├── predict.py # 预测入口
│ │ │ ├── ingest.py # 数据采集
│ │ │ ── eval.py # 评估回填
│ │ │ ── eval.py # 评估回填
│ │ │ └── backtest.py # 历史回测
│ │ ├── deps.py # 依赖:管理接口鉴权(X-API-Key)
│ │ ├── schemas.py # Pydantic 模型
│ │ └── app.py # FastAPI 工厂
│ ├── db/
│ │ ├── base.py # SQLAlchemy async engine + session
│ │ ── models.py # 6 张表 ORM
│ │ ── models.py # 6 张表 ORM
│ │ ├── repositories.py # 仓储层(查询封装)
│ │ └── unit_of_work.py # 事务边界
│ ├── data/
│ │ ├── bzzoiro.py # bzzoiro 采集 + 入库
│ │ ├── understat.py # understat xG 回填
│ │ ├── injuries.py # 伤停采集
│ │ ├── normalize.py # 数据清洗契约
│ │ ├── team_names.py # 队名归一化映射
│ │ ├── sources.py # 数据源注册表
│ │ └── config.py # 联赛映射常量
│ ├── llm/
│ │ ├── provider.py # LLM 提供商抽象(OpenAI-compatible)
│ │ ├── context_builder.py # 数据切片 + 拼接
│ │ ├── predict.py # 预测入口(单/多模式分派)
│ │ ├── eval.py # 评估统计
│ │ ├── validation.py # LLM 输出严格校验
│ │ ├── backtest.py # 回测执行
│ │ ├── agents/
│ │ │ ├── base.py # AgentSpec + run_agent
│ │ │ └── orchestrator.py # 多 agent 编排
@@ -69,12 +76,18 @@ Profeto/
│ │ ├── h2h_v1.md
│ │ └── aggregator_v1.md
│ └── core/
── config.py # pydantic-settings 配置
── config.py # pydantic-settings 配置
│ ├── http_client.py # 共享 httpx 客户端
│ └── retry.py # 重试工具
├── frontend/ # React 单页前端
├── alembic/ # 数据库迁移
│ └── versions/
│ ├── 0001_initial.py
── 0002_agent_outputs.py
── 0002_agent_outputs.py
│ ├── 0003_injuries.py
│ ├── 0004_snapshot_and_constraints.py
│ ├── 0005_prediction_status_and_stats_provenance.py
│ └── 0006_schema_model_drift_cleanup.py
├── tests/ # 测试
│ ├── test_core.py # 核心逻辑测试
│ └── test_agents.py # 多 agent 测试
+4 -3
View File
@@ -1,5 +1,6 @@
export default {
content: ['./index.html', './src/**/*.{ts,tsx}'],
theme: { extend: {} },
plugins: [],
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}
+42 -5
View File
@@ -1,17 +1,54 @@
import { ErrorBoundary } from './components/ErrorBoundary'
import Matches from './pages/Matches'
/** 报眉日期行:2026年9月15日 星期二 */
function dateLine(): string {
return new Date().toLocaleDateString('zh-CN', {
year: 'numeric',
month: 'long',
day: 'numeric',
weekday: 'long',
})
}
export default function App() {
return (
<ErrorBoundary>
<div className="min-h-screen bg-gray-50">
<header className="bg-white border-b px-6 py-3 flex items-center justify-between">
<h1 className="text-xl font-bold text-blue-700"> Profeto</h1>
<span className="text-sm text-gray-500"> LLM </span>
<div className="min-h-screen bg-paper-50">
{/* ── 报头:粗线 + 居中刊名 + 报眉 ── */}
<header className="masthead-rule">
<div className="mx-auto max-w-5xl px-5 sm:px-8">
<div className="border-b border-ink-900 py-5 text-center sm:py-6">
<h1 className="font-serif text-4xl font-bold tracking-widest text-ink-900">
<span className="ml-3 align-baseline font-serif text-base font-normal italic tracking-normal text-ink-500">
Profeto
</span>
</h1>
<p className="mt-2 text-2xs tracking-[0.4em] text-ink-500">
· ·
</p>
</div>
<div className="flex items-center justify-between border-b border-ink-200 py-2 text-2xs text-ink-500">
<span>{dateLine()}</span>
<span className="flex items-center gap-1.5">
<span className="inline-block h-1.5 w-1.5 bg-emerald-600" aria-hidden="true" />
</span>
</div>
</div>
</header>
<main className="max-w-5xl mx-auto p-6">
<main className="mx-auto max-w-5xl px-5 py-6 sm:px-8 sm:py-8">
<Matches />
</main>
{/* ── 版底 ── */}
<footer className="mx-auto max-w-5xl px-5 pb-10 sm:px-8">
<div className="border-t border-ink-200 pt-3 text-center text-2xs leading-relaxed text-ink-400">
· ·
</div>
</footer>
</div>
</ErrorBoundary>
)
+99
View File
@@ -1,3 +1,102 @@
@tailwind base;
@tailwind components;
@tailwind utilities;
@layer base {
html {
-webkit-text-size-adjust: 100%;
text-rendering: optimizeLegibility;
}
body {
@apply bg-paper-50 text-ink-800 font-sans antialiased;
font-feature-settings: 'tnum' 1; /* 数字等宽:比分/百分比不跳动 */
}
::selection {
@apply bg-press-wash text-press;
}
/* 统一焦点环:印报红细线,键盘可达 */
:focus-visible {
outline: 2px solid #9e1b1b;
outline-offset: 2px;
}
/* 细滚动条 */
::-webkit-scrollbar {
width: 10px;
height: 10px;
}
::-webkit-scrollbar-track {
background: transparent;
}
::-webkit-scrollbar-thumb {
@apply rounded-full bg-ink-300;
}
::-webkit-scrollbar-thumb:hover {
@apply bg-ink-400;
}
/* 尊重「减少动态效果」偏好 */
@media (prefers-reduced-motion: reduce) {
*,
*::before,
*::after {
animation-duration: 0.01ms !important;
animation-iteration-count: 1 !important;
transition-duration: 0.01ms !important;
}
}
}
@layer components {
/* ── 报头双线:粗线在上、细线在下 ── */
.masthead-rule {
border-top: 3px solid #17140f;
}
/* ── 按钮:方正边框式,悬停反白 ── */
.btn {
@apply inline-flex items-center justify-center gap-1.5 border border-ink-300 bg-transparent px-3 py-1.5
text-sm text-ink-700 transition-colors duration-150
hover:border-ink-900 hover:bg-ink-900 hover:text-paper-50
disabled:cursor-not-allowed disabled:opacity-40
disabled:hover:border-ink-300 disabled:hover:bg-transparent disabled:hover:text-ink-700;
}
.btn-sm {
@apply px-2.5 py-1 text-xs;
}
.btn-solid {
@apply border-ink-900 bg-ink-900 text-paper-50 hover:border-press hover:bg-press;
}
/* ── 表单控件:方正、无圆角 ── */
.field {
@apply border border-ink-300 bg-transparent px-2.5 py-1.5 text-sm text-ink-800
transition-colors hover:border-ink-400
focus:border-press focus:outline-none;
}
/* ── 版面切换文字标签(联赛/状态/模式) ── */
.tab {
@apply whitespace-nowrap px-0.5 py-1 text-sm text-ink-500 transition-colors hover:text-ink-900;
}
.tab-on {
@apply font-medium text-press;
}
.tab-on::after {
content: '';
@apply absolute inset-x-0 bottom-0 h-0.5 bg-press;
}
/* ── 小节标题:宋体加粗 + 墨色底线 ── */
.section-head {
@apply border-b border-ink-900 pb-1.5 font-serif text-sm font-bold text-ink-900;
}
/* ── 骨架占位:低调脉动,不用渐变扫光 ── */
.skeleton {
@apply animate-pulse rounded-none bg-ink-200;
}
}
+547 -179
View File
@@ -1,4 +1,4 @@
import { useCallback, useEffect, useState } from 'react'
import { useCallback, useEffect, useRef, useState } from 'react'
interface Match {
id: number
@@ -65,54 +65,207 @@ const LEAGUES = [
{ code: 'F1', name: '法甲' },
]
/** 汉字编号,给专家意见排版用 */
const CN_NUM = ['一', '二', '三', '四', '五', '六', '七', '八']
const STATUS_META: Record<string, { label: string; cls: string }> = {
finished: { label: '已完赛', cls: 'text-ink-400' },
scheduled: { label: '未开赛', cls: 'text-ink-600' },
live: { label: '进行中', cls: 'text-press font-medium' },
}
/** 1x2 → 中文标签 */
const OUTCOME_LABEL: Record<string, string> = { '1': '主胜', X: '平局', '2': '客胜' }
/** 置信度细线:0~1 数值的低调可视化 */
function Meter({ value }: { value: number }) {
const pct = Math.max(0, Math.min(100, Math.round(value * 100)))
return (
<div className="h-px w-full bg-ink-200" role="presentation">
<div className="h-px bg-press transition-[width] duration-500" style={{ width: `${pct}%` }} />
</div>
)
}
/** home_edge(-1~1,正=利主队)的可视化:以中线为原点的双向细条 */
function EdgeBar({ value }: { value: number }) {
const v = Math.max(-1, Math.min(1, value))
const half = Math.abs(v) * 50
return (
<div className="relative h-px w-full bg-ink-200" role="presentation">
<span className="absolute left-1/2 top-1/2 h-2 w-px -translate-x-1/2 -translate-y-1/2 bg-ink-400" />
<span
className={`absolute top-0 h-px transition-all duration-500 ${v >= 0 ? 'bg-press' : 'bg-ink-600'}`}
style={
v >= 0
? { left: '50%', width: `${half}%` }
: { right: '50%', width: `${half}%` }
}
/>
</div>
)
}
/** 骨架占位行:低调脉动灰块 */
function SkeletonRows({ n = 4 }: { n?: number }) {
return (
<>
{Array.from({ length: n }).map((_, i) => (
<div key={i} className="flex items-center gap-4 border-b border-ink-200 px-1 py-3.5">
<div className="skeleton h-3 w-16" />
<div className="skeleton h-3 flex-1" />
<div className="skeleton h-3 w-10" />
<div className="skeleton h-3 flex-1" />
<div className="skeleton h-3 w-16" />
</div>
))}
</>
)
}
function Spinner({ className = '' }: { className?: string }) {
return (
<svg
viewBox="0 0 20 20"
className={`h-3.5 w-3.5 animate-spin ${className}`}
fill="none"
aria-hidden="true"
>
<circle cx="10" cy="10" r="7.5" stroke="currentColor" strokeWidth="1.5" strokeOpacity="0.25" />
<path d="M17.5 10A7.5 7.5 0 0010 2.5" stroke="currentColor" strokeWidth="1.5" strokeLinecap="round" />
</svg>
)
}
/** 胜平负一行文字:选中的红字加方块标记,未选中的退灰 */
function OutcomeLine({
pick,
confidence,
}: {
pick: string | null
confidence: number | null
}) {
const options = ['1', 'X', '2'] as const
return (
<div>
<div className="flex items-baseline justify-center gap-6 sm:gap-10">
{options.map(o => {
const on = pick === o
return (
<div key={o} className="flex flex-col items-center gap-1">
<span className={`flex items-center gap-1.5 text-sm ${on ? 'font-semibold text-press' : 'text-ink-400'}`}>
{on && <span className="inline-block h-2 w-2 bg-press" aria-hidden="true" />}
{OUTCOME_LABEL[o]}
</span>
{on && confidence !== null && (
<span className="text-2xs tabular-nums text-ink-500">
{Math.round(confidence * 100)}%
</span>
)}
</div>
)
})}
</div>
{pick && confidence !== null && (
<div className="mx-auto mt-3 max-w-xs">
<Meter value={confidence} />
<p className="mt-1 text-center text-2xs text-ink-400">,</p>
</div>
)}
</div>
)
}
export default function Matches() {
const [league, setLeague] = useState('E0')
const [status, setStatus] = useState('scheduled')
const [matches, setMatches] = useState<Match[]>([])
const [nextCursor, setNextCursor] = useState<string | null>(null)
const [loadingMore, setLoadingMore] = useState(false)
const [loading, setLoading] = useState(false)
const [predictingId, setPredictingId] = useState<number | null>(null)
const [prediction, setPrediction] = useState<Prediction | null>(null)
const [predictionFor, setPredictionFor] = useState<Match | null>(null)
const [error, setError] = useState<string | null>(null)
const [mode, setMode] = useState<'single' | 'multi'>('multi')
// 请求竞态防护:切换联赛/状态很快时,先发的慢请求可能后返回,
// 把旧结果覆盖到新筛选上。用递增序号只认最后一次请求的响应。
const loadSeq = useRef(0)
const predictSeq = useRef(0)
const load = useCallback(async () => {
const seq = ++loadSeq.current
setLoading(true)
// 切换筛选时作废进行中的「加载更多」,避免其标志位卡住
setLoadingMore(false)
setError(null)
try {
const params = new URLSearchParams({ league, status, limit: '50' })
const res = await fetch(`/api/v1/matches?${params}`)
if (seq !== loadSeq.current) return // 已有更新的请求,丢弃本次结果
if (!res.ok) throw new Error(`HTTP ${res.status}`)
const data = await res.json()
if (seq !== loadSeq.current) return
setMatches(data.items)
setNextCursor(data.next_cursor ?? null)
} catch (e) {
if (seq !== loadSeq.current) return
setError(e instanceof Error ? e.message : String(e))
} finally {
setLoading(false)
if (seq === loadSeq.current) setLoading(false)
}
}, [league, status])
// 加载下一页(游标分页)
const loadMore = async () => {
if (!nextCursor || loadingMore) return
const seq = loadSeq.current // 不做自增:切换筛选会自增,这里只跟随当前序列
setLoadingMore(true)
try {
const params = new URLSearchParams({ league, status, limit: '50', cursor: nextCursor })
const res = await fetch(`/api/v1/matches?${params}`)
if (seq !== loadSeq.current) return
if (!res.ok) throw new Error(`HTTP ${res.status}`)
const data = await res.json()
if (seq !== loadSeq.current) return
setMatches(prev => [...prev, ...data.items])
setNextCursor(data.next_cursor ?? null)
} catch (e) {
if (seq !== loadSeq.current) return
setError(e instanceof Error ? e.message : String(e))
} finally {
if (seq === loadSeq.current) setLoadingMore(false)
}
}
useEffect(() => { load() }, [load])
const predict = async (matchId: number) => {
setPredictingId(matchId)
const predict = async (m: Match) => {
const seq = ++predictSeq.current
setPredictingId(m.id)
setError(null)
setPrediction(null)
setPredictionFor(m)
try {
const res = await fetch('/api/v1/predict', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ match_id: matchId, mode }),
body: JSON.stringify({ match_id: m.id, mode }),
})
if (seq !== predictSeq.current) return
if (!res.ok) {
const t = await res.text()
throw new Error(`HTTP ${res.status}: ${t}`)
}
const data = await res.json()
if (seq !== predictSeq.current) return
setPrediction(data)
} catch (e) {
if (seq !== predictSeq.current) return
setError(e instanceof Error ? e.message : String(e))
} finally {
setPredictingId(null)
if (seq === predictSeq.current) setPredictingId(null)
}
}
@@ -121,195 +274,410 @@ export default function Matches() {
return d.toLocaleString('zh-CN', { month: '2-digit', day: '2-digit', hour: '2-digit', minute: '2-digit' })
}
const leagueName = LEAGUES.find(l => l.code === league)?.name ?? league
/** 状态/模式一组的文字切换 */
const Switch = ({ value, onChange, items }: {
value: string
onChange: (v: string) => void
items: { v: string; label: string; title?: string }[]
}) => (
<span className="inline-flex items-center gap-2.5">
{items.map((it, i) => (
<span key={it.v} className="inline-flex items-center gap-2.5">
{i > 0 && <span className="text-ink-300" aria-hidden="true">/</span>}
<button
onClick={() => onChange(it.v)}
title={it.title}
className={`relative tab ${value === it.v ? 'tab-on' : ''} text-xs`}
>
{it.label}
</button>
</span>
))}
</span>
)
return (
<div className="space-y-4">
{/* 筛选 */}
<div className="flex gap-3 items-center flex-wrap">
<select value={league} onChange={e => setLeague(e.target.value)}
className="border rounded px-3 py-1.5 text-sm">
{LEAGUES.map(l => <option key={l.code} value={l.code}>{l.name}</option>)}
</select>
<select value={status} onChange={e => setStatus(e.target.value)}
className="border rounded px-3 py-1.5 text-sm">
<option value="scheduled"></option>
<option value="finished"></option>
<option value=""></option>
</select>
<div className="flex items-center gap-2 text-sm">
<span className="text-gray-500">:</span>
<div className="space-y-5">
{/* ── 联赛版面切换 ── */}
<nav className="flex items-center gap-6 overflow-x-auto border-b border-ink-900" aria-label="联赛">
{LEAGUES.map(l => (
<button
onClick={() => setMode('single')}
className={`px-2 py-1 rounded text-xs ${mode === 'single' ? 'bg-blue-600 text-white' : 'bg-gray-100 text-gray-600'}`}
></button>
<button
onClick={() => setMode('multi')}
className={`px-2 py-1 rounded text-xs ${mode === 'multi' ? 'bg-blue-600 text-white' : 'bg-gray-100 text-gray-600'}`}
> Agent</button>
</div>
<button onClick={load} disabled={loading}
className="bg-blue-600 text-white text-sm px-4 py-1.5 rounded hover:bg-blue-700 disabled:opacity-50">
{loading ? '加载中...' : '刷新'}
</button>
<span className="text-sm text-gray-500"> {matches.length} </span>
key={l.code}
onClick={() => setLeague(l.code)}
className={`relative tab ${league === l.code ? 'tab-on' : ''} font-serif`}
>
{l.name}
</button>
))}
</nav>
{/* ── 第二行:状态 / 模式 / 计数 / 刷新 ── */}
<div className="flex flex-wrap items-center gap-x-5 gap-y-2 text-xs text-ink-500">
<span className="inline-flex items-center gap-2.5">
<span className="text-2xs text-ink-400"></span>
<Switch
value={status}
onChange={setStatus}
items={[
{ v: 'scheduled', label: '未开赛' },
{ v: 'finished', label: '已完赛' },
{ v: '', label: '全部' },
]}
/>
</span>
<span className="inline-flex items-center gap-2.5">
<span className="text-2xs text-ink-400"></span>
<Switch
value={mode}
onChange={v => setMode(v as 'single' | 'multi')}
items={[
{ v: 'single', label: '单次', title: '单次调用,快但只有一个模型看全部数据' },
{ v: 'multi', label: '多专家', title: '5 个专家并行分析后由终裁汇总,质量更高' },
]}
/>
</span>
<span className="ml-auto inline-flex items-center gap-3">
<span className="tabular-nums"> {matches.length} </span>
<button onClick={load} disabled={loading} className="btn btn-sm">
{loading ? (<><Spinner /> </>) : '刷新'}
</button>
</span>
</div>
{/* ── 错误提示 ── */}
{error && (
<div className="bg-red-50 border border-red-200 text-red-700 px-4 py-2 rounded text-sm flex items-center justify-between">
<span> {error}</span>
<button onClick={() => setError(null)} className="text-red-500 hover:text-red-700 text-xs"></button>
<div className="flex items-start justify-between gap-3 border border-press bg-press-wash px-4 py-3">
<div>
<p className="text-sm font-medium text-press"></p>
<p className="mt-0.5 text-xs text-ink-600">{error}</p>
</div>
<button onClick={() => setError(null)} className="text-ink-400 transition-colors hover:text-ink-900" aria-label="关闭">
<svg viewBox="0 0 20 20" className="h-4 w-4" fill="currentColor" aria-hidden="true">
<path d="M6.3 5.3a1 1 0 011.4 0L10 7.6l2.3-2.3a1 1 0 111.4 1.4L11.4 9l2.3 2.3a1 1 0 01-1.4 1.4L10 10.4l-2.3 2.3a1 1 0 01-1.4-1.4L8.6 9 6.3 6.7a1 1 0 010-1.4z" />
</svg>
</button>
</div>
)}
{/* 比赛表 */}
<div className="bg-white rounded border overflow-hidden">
<table className="w-full text-sm">
<thead className="bg-gray-100 text-gray-600">
<tr>
<th className="text-left px-4 py-2"></th>
<th className="text-left px-4 py-2"></th>
<th className="text-left px-4 py-2"></th>
<th className="text-center px-4 py-2"></th>
<th className="text-center px-4 py-2"></th>
<th className="text-center px-4 py-2"></th>
</tr>
</thead>
<tbody>
{loading && (
<tr><td colSpan={6} className="text-center text-gray-400 py-8">
<span className="inline-block animate-spin mr-2"></span>...
</td></tr>
)}
{!loading && matches.length === 0 && (
<tr><td colSpan={6} className="text-center text-gray-400 py-8">,</td></tr>
)}
{matches.map(m => (
<tr key={m.id} className="border-t hover:bg-gray-50">
<td className="px-4 py-2 text-gray-600">{fmtDate(m.match_date)}</td>
<td className="px-4 py-2 font-medium">{m.home_team_zh || m.home_team}</td>
<td className="px-4 py-2 font-medium">{m.away_team_zh || m.away_team}</td>
<td className="px-4 py-2 text-center">
{m.home_goals !== null ? `${m.home_goals} - ${m.away_goals}` : '-'}
</td>
<td className="px-4 py-2 text-center">
<span className={`text-xs px-2 py-0.5 rounded ${
m.match_status === 'finished' ? 'bg-green-100 text-green-700' :
m.match_status === 'scheduled' ? 'bg-blue-100 text-blue-700' : 'bg-gray-100'
}`}>
{m.match_status === 'finished' ? '完赛' : m.match_status === 'scheduled' ? '未开赛' : m.match_status}
</span>
</td>
<td className="px-4 py-2 text-center">
<button onClick={() => predict(m.id)}
disabled={predictingId === m.id}
className="text-blue-600 hover:underline text-xs disabled:opacity-50">
{predictingId === m.id ? '预测中...' : 'LLM 预测'}
{/* ── 赛程栏:表格化,行间细线 ── */}
<section aria-label="赛程">
{loading && <SkeletonRows n={4} />}
{!loading && matches.length === 0 && (
<div className="border-y border-ink-200 py-14 text-center">
<p className="font-serif text-sm text-ink-600"></p>
<p className="mt-1.5 text-xs text-ink-400"> {leagueName} </p>
</div>
)}
{!loading && matches.map(m => {
const st = STATUS_META[m.match_status] ?? { label: m.match_status, cls: 'text-ink-400' }
const homeName = m.home_team_zh || m.home_team
const awayName = m.away_team_zh || m.away_team
const busy = predictingId === m.id
const active = predictionFor?.id === m.id
return (
<div
key={m.id}
className={`border-b border-ink-200 px-1 py-3 transition-colors hover:bg-paper-100 ${
active ? 'bg-press-wash/50' : ''
}`}
>
<div className="flex flex-col gap-2 sm:grid sm:grid-cols-[88px_minmax(0,1fr)_64px_minmax(0,1fr)_56px_auto] sm:items-center sm:gap-x-3 sm:gap-y-0">
{/* 日期 + 状态:移动端同行,桌面端日期单独归列 */}
<div className="flex items-center justify-between sm:contents">
<span className="text-2xs tabular-nums text-ink-400">{fmtDate(m.match_date)}</span>
<span className={`text-2xs sm:hidden ${st.cls}`}>{st.label}</span>
</div>
{/* 对阵:移动端主队/比分/客队同一行,桌面端 sm:contents 拆回 grid 列 */}
<div className="flex items-center gap-2 sm:contents">
{/* 主队(右对齐) */}
<div className="flex min-w-0 flex-1 items-center justify-end">
<span className="truncate text-sm font-medium text-ink-900">{homeName}</span>
</div>
{/* 比分 / VS */}
<div className="flex w-14 flex-shrink-0 flex-col items-center sm:w-auto">
{m.home_goals !== null && m.away_goals !== null ? (
<span className="font-serif text-base font-bold tabular-nums text-ink-900">
{m.home_goals}<span className="mx-0.5 font-normal text-ink-300">:</span>{m.away_goals}
</span>
) : (
<span className="text-2xs tracking-widest text-ink-400">VS</span>
)}
{m.home_xg !== null && m.away_xg !== null && (
<span className="text-2xs tabular-nums text-ink-400">
xG {m.home_xg.toFixed(1)}-{m.away_xg.toFixed(1)}
</span>
)}
</div>
{/* 客队(左对齐) */}
<div className="flex min-w-0 flex-1 items-center">
<span className="truncate text-sm font-medium text-ink-900">{awayName}</span>
</div>
</div>
{/* 状态列(桌面) */}
<span className={`hidden text-right text-2xs sm:block ${st.cls}`}>{st.label}</span>
{/* 预测按钮 */}
<div className="flex justify-end">
<button
onClick={() => predict(m)}
disabled={busy}
className="btn btn-sm w-[76px]"
title={`${mode === 'multi' ? '多专家' : '单次'}模式预测这场`}
>
{busy ? (<><Spinner /> </>) : '预测'}
</button>
</td>
</tr>
))}
</tbody>
</table>
</div>
{/* 预测中指示 */}
{predictingId && (
<div className="bg-blue-50 border border-blue-200 text-blue-700 px-4 py-3 rounded text-sm flex items-center gap-2">
<span className="inline-block animate-spin"></span>
LLM ,...
</div>
)}
{/* 预测结果 */}
{prediction && (
<div className="bg-white rounded border p-5 space-y-3">
<h3 className="font-bold text-lg">🤖 LLM </h3>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4 text-sm">
<div className="bg-blue-50 rounded p-3">
<div className="text-gray-500 text-xs"></div>
<div className="text-xl font-bold">{prediction.pred_home_goals ?? '-'}</div>
</div>
<div className="bg-blue-50 rounded p-3">
<div className="text-gray-500 text-xs"></div>
<div className="text-xl font-bold">{prediction.pred_away_goals ?? '-'}</div>
</div>
<div className="bg-amber-50 rounded p-3">
<div className="text-gray-500 text-xs"></div>
<div className="text-xl font-bold">{prediction.pred_1x2 ?? '-'}</div>
</div>
<div className="bg-green-50 rounded p-3">
<div className="text-gray-500 text-xs"></div>
<div className="text-xl font-bold">
{prediction.subjective_confidence !== null ? `${(prediction.subjective_confidence * 100).toFixed(0)}%` : '-'}
</div>
</div>
</div>
</div>
<div className="text-xs text-gray-400">
{prediction.provider} / {prediction.model} · {prediction.latency_ms}ms
{prediction.mode === 'multi' && ' · 多 Agent 模式'}
</div>
)
})}
{/* 各专家 agent 报告 */}
{prediction.agent_outputs && prediction.agent_outputs.length > 0 && (
<div className="space-y-2">
<div className="text-sm font-medium text-gray-700"> Agent </div>
{prediction.agent_outputs.map((r) => (
<details key={r.agent} className="bg-white border rounded">
<summary className="cursor-pointer px-3 py-2 text-sm flex items-center justify-between">
<span className="font-medium">
{AGENT_LABELS[r.agent] || r.agent}
{r.status !== 'ok' && (
<span className={`ml-2 text-xs px-1.5 py-0.5 rounded ${
r.status === 'no_data' ? 'bg-gray-100 text-gray-500' : 'bg-red-100 text-red-600'
}`}>
{r.status === 'no_data' ? '无数据' : '失败'}
</span>
)}
</span>
<span className="flex gap-3 text-xs text-gray-500">
{r.home_edge !== null && (
<span className={r.home_edge > 0 ? 'text-blue-600' : r.home_edge < 0 ? 'text-amber-600' : ''}>
{r.home_edge > 0 ? '+' : ''}{r.home_edge.toFixed(2)}
</span>
)}
{r.subjective_confidence !== null && <span> {(r.subjective_confidence * 100).toFixed(0)}%</span>}
{r.probable_score && <span> {r.probable_score}</span>}
</span>
</summary>
<div className="px-3 pb-3 pt-1 space-y-2 text-sm">
{r.analysis && <p className="text-gray-700">{r.analysis}</p>}
{r.key_evidence.length > 0 && (
<ul className="text-xs text-gray-500 list-disc pl-4">
{r.key_evidence.map((e, i) => <li key={i}>{e}</li>)}
</ul>
)}
{r.exp_home_goals !== null && r.exp_away_goals !== null && (
<div className="text-xs text-gray-500">
: {r.exp_home_goals.toFixed(1)} - {r.exp_away_goals.toFixed(1)}
</div>
)}
<div className="text-xs text-gray-400">
{r.data_sufficiency} · {r.model} · {r.latency_ms}ms
</div>
</div>
</details>
))}
</div>
)}
{!loading && nextCursor && (
<div className="flex justify-center pt-4">
<button onClick={loadMore} disabled={loadingMore} className="btn btn-sm">
{loadingMore ? (<><Spinner /> </>) : '载入更多'}
</button>
</div>
)}
</section>
{prediction.reasoning && (
<div className="bg-gray-50 rounded p-3">
<div className="text-xs text-gray-500 mb-1"></div>
<div className="text-sm whitespace-pre-wrap">{prediction.reasoning}</div>
{/* ── 预测中占位 ── */}
{predictingId && !prediction && (
<div className="border border-ink-900">
<div className="flex items-center gap-2 border-b border-ink-900 bg-paper-100 px-4 py-2.5">
<Spinner className="text-press" />
<span className="text-sm font-medium text-ink-800"></span>
<span className="text-2xs text-ink-500">
{mode === 'multi' ? '五路专家并行分析后终裁,约需 20-60 秒' : '单次调用,约需 5-15 秒'}
</span>
</div>
<div className="space-y-4 px-4 py-6">
<div className="flex items-center justify-center gap-6">
<div className="skeleton h-4 w-20" />
<div className="skeleton h-10 w-24" />
<div className="skeleton h-4 w-20" />
</div>
)}
<details className="text-xs">
<summary className="cursor-pointer text-gray-500 hover:text-gray-700"></summary>
<pre className="mt-2 bg-gray-900 text-green-300 p-3 rounded overflow-x-auto text-xs">
{prediction.context}
</pre>
</details>
<div className="skeleton mx-auto h-px w-64" />
<div className="skeleton h-16 w-full" />
</div>
</div>
)}
{/* ── 预测版 ── */}
{prediction && predictionFor && (
<PredictionPanel prediction={prediction} match={predictionFor} mode={mode} />
)}
</div>
)
}
function PredictionPanel({
prediction,
match,
mode,
}: {
prediction: Prediction
match: Match
mode: 'single' | 'multi'
}) {
const homeName = match.home_team_zh || match.home_team
const awayName = match.away_team_zh || match.away_team
const okReports = (prediction.agent_outputs ?? []).filter(r => r.status === 'ok')
return (
<article className="border border-ink-900 bg-paper-50">
{/* 版头 */}
<div className="flex flex-wrap items-baseline justify-between gap-2 border-b border-ink-900 bg-paper-100 px-4 py-2.5 sm:px-5">
<h3 className="font-serif text-sm font-bold text-ink-900">
· {homeName} {awayName}
</h3>
<span className="text-2xs tabular-nums text-ink-500">
{prediction.provider} / {prediction.model}
{prediction.latency_ms !== null && ` · ${(prediction.latency_ms / 1000).toFixed(1)}s`}
</span>
</div>
<div className="space-y-7 px-4 py-6 sm:px-5">
{/* ── 预测比分:版面核心,大号宋体 ── */}
<div className="text-center">
<p className="font-serif text-5xl font-bold tabular-nums leading-none text-ink-900 sm:text-6xl">
{prediction.pred_home_goals ?? '-'}
<span className="mx-3 font-normal text-ink-300">:</span>
{prediction.pred_away_goals ?? '-'}
</p>
<p className="mt-3 text-2xs tracking-[0.5em] text-ink-400"></p>
</div>
{/* ── 胜平负 ── */}
<div className="border-y border-ink-200 py-4">
<OutcomeLine pick={prediction.pred_1x2} confidence={prediction.subjective_confidence} />
</div>
{/* ── 元信息一行 ── */}
<p className="text-center text-2xs text-ink-500">
{mode === 'multi' ? `多专家模式 · ${okReports.length}/${prediction.agent_outputs?.length ?? 0} 路有效` : '单次模式'}
{prediction.prompt_version && ` · prompt ${prediction.prompt_version}`}
{prediction.latency_ms !== null && ` · 终裁耗时 ${(prediction.latency_ms / 1000).toFixed(1)}`}
</p>
{/* ── 专家意见 ── */}
{prediction.agent_outputs && prediction.agent_outputs.length > 0 && (
<section>
<div className="section-head flex flex-wrap items-baseline justify-between gap-1">
<span></span>
{prediction.agent_weights && (
<span className="font-sans text-2xs font-normal text-ink-500">
:{Object.entries(prediction.agent_weights)
.sort((a, b) => b[1] - a[1])
.map(([k, v]) => `${AGENT_LABELS[k] ?? k} ${Math.round(v * 100)}%`)
.join(' / ')}
</span>
)}
</div>
<div>
{prediction.agent_outputs.map((r, i) => (
<AgentCard key={r.agent} report={r} no={CN_NUM[i] ?? String(i + 1)} />
))}
</div>
</section>
)}
{/* ── 终裁意见:引文式,红竖线 ── */}
{prediction.reasoning && (
<section>
<h4 className="section-head mb-3"></h4>
<blockquote className="border-l-2 border-press pl-4">
<p className="whitespace-pre-wrap font-serif text-sm leading-loose text-ink-700">
{prediction.reasoning}
</p>
</blockquote>
</section>
)}
{/* ── 原始上下文 ── */}
<details className="group">
<summary className="flex cursor-pointer list-none items-center gap-1.5 text-xs text-ink-500 transition-colors hover:text-ink-800">
<svg viewBox="0 0 20 20" className="h-3 w-3 transition-transform group-open:rotate-90" fill="currentColor" aria-hidden="true">
<path d="M7.3 5.3a1 1 0 011.4 0l4 4a1 1 0 010 1.4l-4 4a1 1 0 01-1.4-1.4L10.6 10 7.3 6.7a1 1 0 010-1.4z" />
</svg>
</summary>
<pre className="mt-2 max-h-80 overflow-auto border border-ink-200 bg-paper-100 p-3 font-mono text-2xs leading-relaxed text-ink-600">
{prediction.context}
</pre>
</details>
</div>
</article>
)
}
const STATUS_BADGE: Record<string, { label: string; cls: string }> = {
ok: { label: '正常', cls: 'text-ink-500' },
no_data: { label: '无数据', cls: 'text-ink-400' },
error: { label: '调用失败', cls: 'text-press' },
parse_error: { label: '解析失败', cls: 'text-press' },
}
const SUFFICIENCY_LABEL: Record<string, string> = {
high: '充分',
medium: '一般',
low: '偏少',
none: '无',
}
/** 单路专家意见:汉字编号 + 细线行 */
function AgentCard({ report: r, no }: { report: AgentReport; no: string }) {
const badge = STATUS_BADGE[r.status] ?? { label: r.status, cls: 'text-ink-400' }
const inactive = r.status !== 'ok'
return (
<details className="group border-b border-ink-200">
<summary className="flex cursor-pointer list-none items-baseline gap-2.5 px-1 py-3">
<span className="font-serif text-sm text-ink-400">{no}</span>
<span className="text-sm font-medium text-ink-900">{AGENT_LABELS[r.agent] ?? r.agent}</span>
<span className={`text-2xs ${badge.cls}`}>{badge.label}</span>
<span className="ml-auto flex items-baseline gap-3 text-2xs tabular-nums text-ink-500">
{r.status === 'ok' && r.subjective_confidence !== null && (
<span> {Math.round(r.subjective_confidence * 100)}%</span>
)}
{r.status === 'ok' && r.probable_score && (
<span className="font-serif font-bold text-ink-800">{r.probable_score}</span>
)}
<svg viewBox="0 0 20 20" className="h-3 w-3 self-center text-ink-300 transition-transform group-open:rotate-90" fill="currentColor" aria-hidden="true">
<path d="M7.3 5.3a1 1 0 011.4 0l4 4a1 1 0 010 1.4l-4 4a1 1 0 01-1.4-1.4L10.6 10 7.3 6.7a1 1 0 010-1.4z" />
</svg>
</span>
</summary>
<div className="space-y-3 px-1 pb-4 pl-7">
{/* 无数据 / 失败时给出明确说明,避免用户以为是空白 bug */}
{inactive && (
<p className="text-xs leading-relaxed text-ink-500">
{r.status === 'no_data' && '该维度没有可用数据,已跳过 LLM 分析以节省额度(不影响其他专家)。'}
{r.status === 'error' && '该专家调用失败,本次结论未纳入其视角(fail-open 设计,不阻断整体预测)。'}
{r.status === 'parse_error' && '模型输出未通过格式校验,该报告已丢弃。'}
</p>
)}
{!inactive && r.home_edge !== null && (
<div>
<div className="mb-1.5 flex items-baseline justify-between text-2xs">
<span className="text-ink-500"></span>
<span className={`font-semibold tabular-nums ${r.home_edge > 0 ? 'text-press' : r.home_edge < 0 ? 'text-ink-700' : 'text-ink-500'}`}>
{r.home_edge > 0 ? '+' : ''}{r.home_edge.toFixed(2)}
</span>
</div>
<EdgeBar value={r.home_edge} />
<div className="mt-1 flex justify-between text-2xs text-ink-400">
<span></span>
<span></span>
</div>
</div>
)}
{r.analysis && (
<p className="font-serif text-sm leading-loose text-ink-700">{r.analysis}</p>
)}
{r.key_evidence.length > 0 && (
<ul className="space-y-1.5">
{r.key_evidence.map((e, i) => (
<li key={i} className="flex gap-2 text-xs leading-relaxed text-ink-600">
<span className="flex-shrink-0 text-ink-300" aria-hidden="true"></span>
<span>{e}</span>
</li>
))}
</ul>
)}
{r.exp_home_goals !== null && r.exp_away_goals !== null && (
<p className="text-xs text-ink-500">
<span className="font-serif font-bold tabular-nums text-ink-900">{r.exp_home_goals.toFixed(1)} - {r.exp_away_goals.toFixed(1)}</span>
</p>
)}
{!inactive && (
<p className="border-t border-ink-100 pt-2.5 text-2xs text-ink-400">
{SUFFICIENCY_LABEL[r.data_sufficiency] ?? r.data_sufficiency}
<span className="mx-2 text-ink-200">|</span>
<span className="font-mono">{r.model}</span>
{r.latency_ms !== null && <span className="ml-2 tabular-nums">{r.latency_ms}ms</span>}
</p>
)}
</div>
</details>
)
}
+56 -1
View File
@@ -1,6 +1,61 @@
/** @type {import('tailwindcss').Config} */
export default {
content: ['./index.html', './src/**/*.{ts,tsx}'],
theme: { extend: {} },
theme: {
extend: {
colors: {
// 纸白:微暖底色,像新闻纸而不是纯白画布
paper: {
50: '#FDFCF8',
100: '#F7F4EC',
200: '#EDE9DE',
300: '#DDD7C7',
},
// 墨色:暖黑灰阶,替代冷调 slate
ink: {
50: '#FAF9F7',
100: '#F0EEE9',
200: '#E2DFD7',
300: '#C9C4B8',
400: '#9C9587',
500: '#6E675B',
600: '#524C42',
700: '#3B362E',
800: '#282420',
900: '#17140F',
},
// 印报红:全站唯一强调色,克制使用
press: {
DEFAULT: '#9E1B1B',
dark: '#7C1414',
wash: '#F7E9E4',
},
},
fontFamily: {
// 标题与比分:宋体血统,报纸版面的骨架
serif: [
'Georgia',
'"Times New Roman"',
'"Songti SC"',
'STSong',
'SimSun',
'"Noto Serif CJK SC"',
'serif',
],
// 正文:中文黑体栈
sans: [
'"PingFang SC"',
'"Hiragino Sans GB"',
'"Microsoft YaHei"',
'"Noto Sans CJK SC"',
'sans-serif',
],
mono: ['ui-monospace', 'SFMono-Regular', 'Menlo', 'Consolas', 'monospace'],
},
fontSize: {
'2xs': ['11px', { lineHeight: '16px' }],
},
},
},
plugins: [],
}
+43
View File
@@ -0,0 +1,43 @@
"""API 依赖:鉴权等横切关注点。
审查报告 P2-7:ingest / backtest / settle 这类「写入型或高成本」接口此前
完全无鉴权 —— 任何能访问到服务的人都可触发采集、或直接烧掉 LLM 额度。
策略(渐进式,不破坏本地开发):
- `ADMIN_API_KEY` 未配置 → 直接放行,并打一次 warning。
这样本地 `docker compose up` 无需额外配置即可用。
- 已配置 → 必须带匹配的 `X-API-Key` 请求头,否则 401。
"""
from __future__ import annotations
import logging
import secrets
from fastapi import Header, HTTPException
from src.core.config import settings
logger = logging.getLogger(__name__)
_warned_unset = False
async def require_admin_key(x_api_key: str | None = Header(None, alias="X-API-Key")) -> None:
"""保护「写入型 / 高成本」接口的依赖。
用法: `@router.post("/ingest/bzzoiro", dependencies=[Depends(require_admin_key)])`
"""
global _warned_unset
expected = settings.ADMIN_API_KEY
if not expected:
if not _warned_unset:
logger.warning(
"ADMIN_API_KEY 未设置,采集/回测接口当前【无鉴权】。"
"生产环境请设置该环境变量。"
)
_warned_unset = True
return
if not x_api_key or not secrets.compare_digest(x_api_key, expected):
raise HTTPException(status_code=401, detail="无效或缺失的 X-API-Key")
+6 -2
View File
@@ -3,9 +3,10 @@ from __future__ import annotations
import logging
from fastapi import APIRouter, HTTPException
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel, Field
from src.api.deps import require_admin_key
from src.llm.backtest import run_backtest
logger = logging.getLogger(__name__)
@@ -22,10 +23,13 @@ class BacktestRequest(BaseModel):
model: str | None = Field(None, description="指定模型 (空=默认)")
@router.post("/backtest")
@router.post("/backtest", dependencies=[Depends(require_admin_key)])
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
`X-API-Key` 鉴权(见审查报告 P2-7)。
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)
2. 调 LLM 预测
+2 -1
View File
@@ -5,6 +5,7 @@ import logging
from fastapi import APIRouter, Depends, HTTPException
from src.api.deps import require_admin_key
from src.api.schemas import EvalSummaryOut, SettleRequest
from src.db.base import AsyncSession, get_db, get_db_read
from src.llm.eval import get_eval_summary, settle_prediction
@@ -14,7 +15,7 @@ logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1", tags=["eval"])
@router.post("/eval/settle")
@router.post("/eval/settle", dependencies=[Depends(require_admin_key)])
async def settle(req: SettleRequest, db: AsyncSession = Depends(get_db)):
"""回填实际结果。"""
try:
+5 -4
View File
@@ -3,8 +3,9 @@ from __future__ import annotations
import logging
from fastapi import APIRouter, HTTPException
from fastapi import APIRouter, Depends, HTTPException
from src.api.deps import require_admin_key
from src.api.schemas import IngestBzzoiroRequest, IngestResponse, IngestUnderstatRequest, IngestInjuriesRequest, IngestSimpleResponse
from src.data.sources import get_source
from src.data.injuries import ingest_injuries
@@ -15,7 +16,7 @@ logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/v1", tags=["ingest"])
@router.post("/ingest/bzzoiro", response_model=IngestResponse)
@router.post("/ingest/bzzoiro", response_model=IngestResponse, dependencies=[Depends(require_admin_key)])
async def ingest_bzzoiro_route(req: IngestBzzoiroRequest):
"""触发 bzzoiro 采集。"""
source = get_source("bzzoiro")
@@ -34,7 +35,7 @@ async def ingest_bzzoiro_route(req: IngestBzzoiroRequest):
raise HTTPException(500, "数据采集失败,请查看服务器日志")
@router.post("/ingest/understat", response_model=IngestSimpleResponse)
@router.post("/ingest/understat", response_model=IngestSimpleResponse, dependencies=[Depends(require_admin_key)])
async def ingest_understat_route(req: IngestUnderstatRequest):
"""触发 understat xG 回填。"""
source = get_source("understat")
@@ -47,7 +48,7 @@ async def ingest_understat_route(req: IngestUnderstatRequest):
raise HTTPException(500, "xG 回填失败,请查看服务器日志")
@router.post("/ingest/injuries", response_model=IngestSimpleResponse)
@router.post("/ingest/injuries", response_model=IngestSimpleResponse, dependencies=[Depends(require_admin_key)])
async def ingest_injuries_route(req: IngestInjuriesRequest):
"""触发伤停采集。"""
try:
+6
View File
@@ -33,5 +33,11 @@ class Settings(BaseSettings):
# --- CORS ---
CORS_ORIGINS: str = "http://localhost:5173,http://localhost:3000"
# --- 管理接口鉴权 ---
# 采集 / 回测等高成本或写入型接口需要此 Key(请求头 X-API-Key)。
# 留空表示「未启用鉴权」(本地开发默认),生产环境必须设置。
# 见审查报告 P2-7:ingest/backtest 无鉴权可被任意调用并烧掉 LLM 额度。
ADMIN_API_KEY: str = ""
settings = Settings()
+8 -1
View File
@@ -1,4 +1,11 @@
"""重试工具:带指数退避的瞬态错误重试。"""
"""重试工具:带指数退避的瞬态错误重试。
NOTE(审查报告 P3):当前全项目**无调用点** —— bzzoiro 在 `_fetch_json_sync`
里自带了一套重试逻辑,understat/injuries 各自也有。这里保留是作为后续统一
重试策略的落点,但请勿误以为它已在生效。
如果决定不引入统一重试,建议删除本文件以避免"看起来有重试、实际没有"的误判。
"""
from __future__ import annotations
import asyncio
+36 -8
View File
@@ -27,6 +27,26 @@ from src.db.models import League, Match, MatchStats, Team
logger = logging.getLogger(__name__)
def _to_date(value):
"""把 datetime / date / str 统一成 `date`。"""
if value is None:
return None
if hasattr(value, "date") and callable(value.date):
return value.date()
return value
def _match_key(home_team_id: int, away_team_id: int, match_date) -> tuple[int, int, str]:
"""比赛去重键:(主队, 客队, 天级日期 ISO 字符串)。
统一在这里构造,避免"预加载时用 str(date)、写入时用 isoformat()"这类
隐式格式依赖 —— 两者当前恰好相等,但一旦有人改动其一就会静默失配,
导致所有比赛被判为不存在而重复插入。
"""
d = _to_date(match_date)
return (home_team_id, away_team_id, d.isoformat() if d is not None else "")
def _fetch_json_sync(path: str, params: dict | None = None, max_retries: int = 3) -> dict | list:
"""同步 HTTP(bzzoiro 客户端保持同步,在 async 函数里 run_in_executor)。"""
base = settings.BZZOIRO_BASE.rstrip("/")
@@ -153,7 +173,9 @@ class BzzoiroSource:
# === 批量优化: 预加载球队和已有比赛到内存 ===
team_name_to_id: dict[str, int] = {}
existing_matches: dict[tuple[int, int, str], Match] = {} # 完整对象,避免重复查询
normalized_matches: list = [] # 缓存规范化结果,避免重复调用
# (NormalizedMatch, 原始 event) 成对保存:后续写 source_record_id 时
# 必须用配对的那条 event,不能依赖外层循环变量残留值。
normalized_matches: list[tuple] = []
if raw_events:
# 一次遍历: 收集球队名 + 规范化
@@ -167,7 +189,7 @@ class BzzoiroSource:
logger.debug("normalize skip: %s", e)
league_r["errors"].append(f"normalize: {e}")
continue
normalized_matches.append(nm)
normalized_matches.append((nm, raw))
all_team_names.add(nm.home_team)
all_team_names.add(nm.away_team)
@@ -179,10 +201,10 @@ class BzzoiroSource:
# 预加载已有比赛(完整对象)
stmt = select(Match).where(Match.league_id == league.id)
for m in (await db.execute(stmt)).scalars():
key = (m.home_team_id, m.away_team_id, str(m.match_date_date))
key = _match_key(m.home_team_id, m.away_team_id, m.match_date_date)
existing_matches[key] = m
for nm in normalized_matches:
for nm, raw in normalized_matches:
# 球队: 内存查找 + 按需创建
home_team_id = team_name_to_id.get(nm.home_team)
if home_team_id is None:
@@ -201,8 +223,7 @@ class BzzoiroSource:
team_name_to_id[nm.away_team] = away_team_id
# 查找已有比赛: 内存查找
date_key = nm.date.date().isoformat() if hasattr(nm.date, "date") else str(nm.date)
match_key = (home_team_id, away_team_id, date_key)
match_key = _match_key(home_team_id, away_team_id, nm.date)
existing_match = existing_matches.get(match_key)
if existing_match is None:
@@ -212,7 +233,7 @@ class BzzoiroSource:
home_team_id=home_team_id,
away_team_id=away_team_id,
match_date=nm.date,
match_date_date=nm.date.date() if hasattr(nm.date, "date") else nm.date,
match_date_date=_to_date(nm.date),
match_status=nm.match_status,
home_goals=nm.home_goals,
away_goals=nm.away_goals,
@@ -263,7 +284,14 @@ class BzzoiroSource:
existing_match.match_stage = nm.match_stage
changed = True
if existing_match.stats is None and (nm.home_xg is not None or nm.away_xg is not None):
existing_match.stats = MatchStats(match_id=existing_match.id)
now = datetime.now(timezone.utc)
existing_match.stats = MatchStats(
match_id=existing_match.id,
source="bzzoiro",
source_event_id=str(raw.get("id", "")),
retrieved_at=now,
available_at=now,
)
db.add(existing_match.stats)
await db.flush()
if existing_match.stats is not None:
+21 -4
View File
@@ -75,10 +75,20 @@ class Match(Base):
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow)
updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow, onupdate=_utcnow)
league: Mapped[League] = relationship(back_populates="matches")
home_team: Mapped[Team] = relationship(foreign_keys=[home_team_id], back_populates="home_matches")
away_team: Mapped[Team] = relationship(foreign_keys=[away_team_id], back_populates="away_matches")
stats: Mapped["MatchStats | None"] = relationship(back_populates="match", cascade="all, delete-orphan")
league: Mapped[League] = relationship(back_populates="matches", lazy="selectin")
# lazy="selectin": 这些关系在业务里几乎总是一起读取(切片/回测/展示)。
# 默认的 lazy="select" 在 async SQLAlchemy 下,于 session 之外或未显式
# eager-load 时访问会抛 MissingGreenlet —— 已因此导致 form/stats/h2h
# 三个专家切片静默失败。统一改为预加载,从根上消除这类问题。
home_team: Mapped[Team] = relationship(
foreign_keys=[home_team_id], back_populates="home_matches", lazy="selectin"
)
away_team: Mapped[Team] = relationship(
foreign_keys=[away_team_id], back_populates="away_matches", lazy="selectin"
)
stats: Mapped["MatchStats | None"] = relationship(
back_populates="match", cascade="all, delete-orphan", lazy="selectin"
)
predictions: Mapped[list["Prediction"]] = relationship(back_populates="match", cascade="all, delete-orphan")
__table_args__ = (
@@ -123,6 +133,11 @@ class MatchStats(Base):
match: Mapped[Match] = relationship(back_populates="stats")
__table_args__ = (
# 数据血缘时间过滤查询用(按 available_at 取「赛前已可得」的统计)
Index("ix_match_stats_available_at", "available_at"),
)
class Injury(Base):
"""球员伤停记录(api-football 数据源)。"""
@@ -185,6 +200,8 @@ class Prediction(Base):
__table_args__ = (
Index("ix_predictions_match", "match_id"),
Index("ix_predictions_provider_model", "provider", "model"),
# 数据截止时间过滤查询用(按 prediction_cutoff_at 取「赛前已生成」的预测)
Index("ix_predictions_cutoff_at", "prediction_cutoff_at"),
# 数据库级约束:最后一道防线
CheckConstraint("pred_home_goals >= 0", name="ck_pred_home_goals_nonneg"),
CheckConstraint("pred_away_goals >= 0", name="ck_pred_away_goals_nonneg"),
+6 -1
View File
@@ -37,12 +37,17 @@ class MatchRepository:
async def find_by_teams_and_date(
self, league_id: int, home_team_id: int, away_team_id: int, date
) -> Match | None:
"""按联赛+主队+客队+日期查找比赛(天级匹配)。"""
"""按联赛+主队+客队+日期查找比赛(天级匹配)。
预加载 stats:调用方(understat 回填)会读取 existing.stats,
async session 下惰性加载会抛 MissingGreenlet。
"""
if hasattr(date, "date"):
date = date.date()
stmt = (
select(Match)
.options(selectinload(Match.stats))
.where(Match.league_id == league_id)
.where(Match.home_team_id == home_team_id)
.where(Match.away_team_id == away_team_id)
+23 -5
View File
@@ -12,7 +12,7 @@ import logging
from dataclasses import dataclass, field
from pathlib import Path
from src.llm.context_builder import MatchHeader
from src.llm.context_builder import MatchHeader, SliceResult
from src.llm.provider import LLMProvider, LLMResponse
logger = logging.getLogger(__name__)
@@ -80,7 +80,12 @@ class AgentReport:
def _is_no_data(slice_text: str) -> bool:
"""切片是否全无数据(除了标题行全是无数据)。"""
"""兜底: 判断纯字符串切片是否全无数据。
仅用于 slice_fn 返回 `str`(未升级为 SliceResult)的场景。
新代码应让切片返回 SliceResult 并显式声明 has_data —— 字符串子串匹配
依赖具体文案(「无比分数据」「无伤停数据」等变体会漏判),不可靠。
"""
body = [ln.strip() for ln in slice_text.splitlines() if ln.strip()]
# 去掉标题行(── 开头)
content = [ln for ln in body if not ln.startswith("──")]
@@ -89,6 +94,18 @@ def _is_no_data(slice_text: str) -> bool:
return all(any(s in ln for s in NO_DATA_SENTINELS) for ln in content)
def _slice_has_data(slice_result) -> tuple[str, bool]:
"""把切片返回值统一成 (text, has_data)。
优先使用 SliceResult.has_data(结构化,可信);若切片函数仍返回 str,
则回退到文案子串匹配(向后兼容)。
"""
if isinstance(slice_result, SliceResult):
return slice_result.text, slice_result.has_data
text = str(slice_result)
return text, not _is_no_data(text)
def _stub_no_data(agent: str) -> AgentReport:
return AgentReport(
agent=agent,
@@ -145,13 +162,14 @@ async def run_agent(
"""执行单个专家 agent: 切片 → no_data 门控 → 调 LLM → 解析报告。"""
# 1. 数据切片
try:
slice_text = await spec.slice_fn(header, before=before)
slice_result = await spec.slice_fn(header, before=before)
except Exception as e:
logger.exception("agent %s slice failed", spec.name)
return AgentReport(agent=spec.name, status="error", analysis=f"数据切片失败: {e}")
# 2. no_data 门控: 切片无数据 → 不调 LLM
if _is_no_data(slice_text):
# 2. no_data 门控: 切片显式声明无数据 → 不调 LLM
slice_text, has_data = _slice_has_data(slice_result)
if not has_data:
logger.debug("agent %s: slice is no_data, skipping LLM", spec.name)
return _stub_no_data(spec.name)
+3 -2
View File
@@ -195,13 +195,14 @@ async def predict_match_multi(
raise ValueError(f"match {match_id} not found")
# 严格校验终裁输出
from src.llm.validation import validate_prediction_output
from src.llm.validation import validate_agent_weights, validate_prediction_output
try:
validated = validate_prediction_output(final)
except Exception as e:
raise RuntimeError(f"终裁输出校验失败: {e}")
agent_weights = final.get("agent_weights")
# agent_weights 同样必须过校验(旧实现直接取 raw 值落库,未做任何检查)
agent_weights = validate_agent_weights(final.get("agent_weights"))
pred = Prediction(
match_id=match_id,
provider=settings.LLM_PROVIDER,
+65 -20
View File
@@ -8,10 +8,12 @@ from __future__ import annotations
import logging
from dataclasses import dataclass, field
from datetime import datetime
from sqlalchemy import and_, select
from sqlalchemy import select
from sqlalchemy.orm import selectinload
from src.db.models import League, Match
from src.db.models import Match
from src.db.unit_of_work import get_uow
from src.llm.eval import settle_prediction
from src.llm.predict import predict_match
@@ -38,6 +40,23 @@ class BacktestMatchResult:
prediction_id: int
@dataclass
class BacktestCandidate:
"""回测候选比赛(字段快照,不持有 ORM 对象)。
session 关闭后仍可安全读取:所有需要的关系字段已在查询时物化为普通值,
避免在 session 之外访问惰性加载的关系属性(会抛 MissingGreenlet)。
"""
match_id: int
league_code: str | None
home_team: str
away_team: str
match_date: datetime
home_goals: int
away_goals: int
@dataclass
class BacktestSummary:
"""回测汇总统计。"""
@@ -66,10 +85,20 @@ async def _get_historical_matches(
date_from: str | None = None,
date_to: str | None = None,
limit: int = 50,
) -> list[Match]:
"""查询已完赛且有比分的比赛(回测候选)。"""
) -> list[BacktestCandidate]:
"""查询已完赛且有比分的比赛(回测候选)。
返回普通值快照而非 ORM 对象:调用方在 session 关闭后仍需使用这些字段,
而 league / home_team / away_team 是惰性加载关系,在 async 下于 session
之外访问会抛 MissingGreenlet。这里用 selectinload 预加载后立即物化。
"""
stmt = (
select(Match)
.options(
selectinload(Match.league),
selectinload(Match.home_team),
selectinload(Match.away_team),
)
.where(Match.match_status == "finished")
.where(Match.home_goals.is_not(None))
.where(Match.away_goals.is_not(None))
@@ -83,7 +112,19 @@ async def _get_historical_matches(
stmt = stmt.order_by(Match.match_date.desc()).limit(limit)
result = await db.execute(stmt)
return list(result.scalars().all())
# 在 session 内物化为纯数据,切断与 ORM 会话的耦合
return [
BacktestCandidate(
match_id=m.id,
league_code=m.league.code if m.league else None,
home_team=m.home_team.name if m.home_team else "?",
away_team=m.away_team.name if m.away_team else "?",
match_date=m.match_date,
home_goals=m.home_goals,
away_goals=m.away_goals,
)
for m in result.scalars().all()
]
async def run_backtest(
@@ -109,32 +150,34 @@ async def run_backtest(
BacktestSummary 含逐场结果 + 汇总统计
"""
async with get_uow() as session:
matches = await _get_historical_matches(
candidates = await _get_historical_matches(
session, league_id=league_id, date_from=date_from, date_to=date_to, limit=limit
)
summary = BacktestSummary(total=len(matches), scored=0)
summary = BacktestSummary(total=len(candidates), scored=0)
for m in matches:
for c in candidates:
try:
# 预测 (build_context 内部已用 before=match_date 防泄漏,
# injuries_slice 也使用 as_of=match_date 过滤 retrieved_at)
result = await predict_match(m.id, mode=mode, model=model)
# 回测必须禁用结果缓存: 否则命中缓存会复用同一 prediction_id,
# 导致 settle 反复覆盖同一条记录(见 P1-3)。
result = await predict_match(c.match_id, mode=mode, model=model, use_cache=False)
# 用实际比分 settle
await settle_prediction(result.prediction_id, m.home_goals, m.away_goals)
await settle_prediction(result.prediction_id, c.home_goals, c.away_goals)
actual = _actual_1x2(m.home_goals, m.away_goals)
actual = _actual_1x2(c.home_goals, c.away_goals)
correct = result.pred_1x2 == actual
bt = BacktestMatchResult(
match_id=m.id,
league_code=m.league.code if m.league else None,
home_team=m.home_team.name if m.home_team else "?",
away_team=m.away_team.name if m.away_team else "?",
match_date=m.match_date.strftime("%Y-%m-%d") if m.match_date else "?",
actual_home=m.home_goals,
actual_away=m.away_goals,
match_id=c.match_id,
league_code=c.league_code,
home_team=c.home_team,
away_team=c.away_team,
match_date=c.match_date.strftime("%Y-%m-%d") if c.match_date else "?",
actual_home=c.home_goals,
actual_away=c.away_goals,
actual_1x2=actual,
pred_home=result.pred_home_goals,
pred_away=result.pred_away_goals,
@@ -146,8 +189,10 @@ async def run_backtest(
summary.results.append(bt)
summary.scored += 1
except Exception as e:
logger.warning("backtest match %s failed: %s", m.id, e)
except Exception:
# 用 exception 而非 warning:保留堆栈,否则集成层缺陷(如惰性加载
# 在 session 外触发)会只剩一行无堆栈的 warning,极难定位。
logger.exception("backtest match %s failed", c.match_id)
# 汇总统计
if summary.scored > 0:
+82 -38
View File
@@ -39,6 +39,22 @@ def _is_stats_available(stats, before) -> bool:
return stats.available_at <= before
@dataclass
class SliceResult:
"""数据切片的显式结果(替代「靠文案子串猜有无数据」)。
旧实现用 `"无数据" in slice_text` 判断,依赖具体文案 —— 一旦某个切片
写成「无比分数据」「无伤停数据」这类变体,判断就会静默失配
(见审查报告 P2-1)。这里让切片函数直接声明 `has_data`,不再猜。
"""
text: str
has_data: bool
n_records: int = 0
def __str__(self) -> str: # 让老调用点可直接当 str 用
return self.text
@dataclass
class MatchContext:
match_id: int
@@ -98,16 +114,18 @@ def header_text(h: MatchHeader) -> str:
# 切片函数: 每个领域 agent 一个
# ============================================================
async def h2h_slice(header: MatchHeader, *, limit: int = 8, before=None) -> str:
async def h2h_slice(header: MatchHeader, *, limit: int = 8, before=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。"""
async with AsyncSessionLocal() as db:
h2h = await _get_h2h(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:
home_wins = draws = away_wins = 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
if hm.home_goals > hm.away_goals: home_wins += 1
elif hm.home_goals == hm.away_goals: draws += 1
else: away_wins += 1
@@ -119,15 +137,17 @@ async def h2h_slice(header: MatchHeader, *, limit: int = 8, before=None) -> str:
lines.append(f" 总计 {total} 场: 主队 {home_wins}{draws}{away_wins}")
else:
lines.append(" 无数据")
return "\n".join(lines)
# 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 form_slice(header: MatchHeader, *, limit: int = 5, before=None) -> str:
async def form_slice(header: MatchHeader, *, limit: int = 5, before=None) -> SliceResult:
"""A - 近期状态切片: 两队近 N 场赛果、关键事件、走势判断。before=match_date 用于回测。"""
async with AsyncSessionLocal() as db:
home_form = await _get_form(db, header.home_team_id, before=before, limit=limit)
away_form = await _get_form(db, header.away_team_id, before=before, limit=limit)
lines = []
n_scored = 0
for label, name, form, side in (
("主队", header.home_name, home_form, "home"),
("客队", header.away_name, away_form, "away"),
@@ -140,6 +160,8 @@ async def form_slice(header: MatchHeader, *, limit: int = 5, before=None) -> str
if o == "W": wins += 1
elif o == "D": draws += 1
else: losses += 1
if fm.home_goals is not None:
n_scored += 1
score = f"{fm.home_goals}-{fm.away_goals}" if fm.home_goals is not None else "vs"
xg = ""
if fm.stats and _is_stats_available(fm.stats, before) and fm.stats.home_xg is not None:
@@ -150,15 +172,16 @@ async def form_slice(header: MatchHeader, *, limit: int = 5, before=None) -> str
lines.append(f"{len(form)} 场: {wins}{draws}{losses}")
else:
lines.append(" 无数据")
return "\n".join(lines)
return SliceResult(text="\n".join(lines), has_data=n_scored > 0, n_records=n_scored)
async def stats_slice(header: MatchHeader, *, limit: int = 10, before=None) -> str:
async def stats_slice(header: MatchHeader, *, limit: int = 10, before=None) -> SliceResult:
"""B - 攻防数据切片: 进球、射门、控球,评估攻防强度。before=match_date 用于回测。"""
async with AsyncSessionLocal() as db:
home_form = await _get_form(db, header.home_team_id, before=before, limit=limit)
away_form = await _get_form(db, header.away_team_id, before=before, limit=limit)
lines = [f"── 攻防数据(近 {limit} 场) ──"]
n_total = 0
for label, name, form, side in (
("主队", header.home_name, home_form, "home"),
("客队", header.away_name, away_form, "away"),
@@ -184,6 +207,7 @@ async def stats_slice(header: MatchHeader, *, limit: int = 10, before=None) -> s
xg += fm.stats.home_xg if side == "home" else fm.stats.away_xg
xga += fm.stats.away_xg if side == "home" else fm.stats.home_xg
n_xg += 1
n_total += n
if n > 0:
lines.append(f" {label} {name}:")
lines.append(f" 场均进球 {gf/n:.2f}, 场均失球 {ga/n:.2f}")
@@ -194,15 +218,16 @@ async def stats_slice(header: MatchHeader, *, limit: int = 10, before=None) -> s
lines.append(f" {label} {name}: 无比分数据")
else:
lines.append(f" {label} {name}: 无数据")
return "\n".join(lines)
return SliceResult(text="\n".join(lines), has_data=n_total > 0, n_records=n_total)
async def home_away_slice(header: MatchHeader, *, limit: int = 10, before=None) -> str:
async def home_away_slice(header: MatchHeader, *, limit: int = 10, before=None) -> SliceResult:
"""C - 主客因素切片: 主场战绩 vs 客场战绩,评估地理优势影响。before=match_date 用于回测。"""
async with AsyncSessionLocal() as db:
home_home = await _get_home_away(db, header.home_team_id, "home", before=before, limit=limit)
away_away = await _get_home_away(db, header.away_team_id, "away", before=before, limit=limit)
lines = ["── 主客因素 ──"]
n_total = 0
for label, name, matches, side in (
("主队主场", header.home_name, home_home, "home"),
("客队客场", header.away_name, away_away, "away"),
@@ -218,6 +243,7 @@ async def home_away_slice(header: MatchHeader, *, limit: int = 10, before=None)
gf += m.home_goals if side == "home" else m.away_goals
ga += m.away_goals if side == "home" else m.home_goals
n = wins + draws + losses
n_total += n
if n > 0:
pct = wins / n * 100
lines.append(f" {label} {name}(近 {n} 场): {wins}{draws}{losses}负, 胜率 {pct:.0f}%")
@@ -226,10 +252,10 @@ async def home_away_slice(header: MatchHeader, *, limit: int = 10, before=None)
lines.append(f" {label} {name}: 无比分数据")
else:
lines.append(f" {label} {name}: 无数据")
return "\n".join(lines)
return SliceResult(text="\n".join(lines), has_data=n_total > 0, n_records=n_total)
async def injuries_slice(header: MatchHeader, *, before=None) -> str:
async def injuries_slice(header: MatchHeader, *, before=None) -> SliceResult:
"""D - 阵容完整性切片: 伤停与停赛名单,评估战力缺失程度。
before=cutoff: 只使用 cutoff 之前已采集的伤停数据,防回测泄漏。
@@ -242,10 +268,10 @@ async def injuries_slice(header: MatchHeader, *, before=None) -> str:
away_injuries = await get_injuries_for_match(db, header.away_team_id, cutoff, as_of=cutoff)
lines = ["── 阵容完整性 ──"]
has_data = False
n_records = 0
for label, injuries in (("主队", home_injuries), ("客队", away_injuries)):
if injuries:
has_data = True
n_records += len(injuries)
lines.append(f" {label}伤停({len(injuries)}人):")
for inj in injuries[:8]: # 最多显示 8 条
reason = inj.reason or inj.injury_type or "未知"
@@ -255,10 +281,10 @@ async def injuries_slice(header: MatchHeader, *, before=None) -> str:
else:
lines.append(f" {label}: 无伤停数据")
if not has_data:
return "── 阵容完整性 ──\n 无数据"
if n_records == 0:
return SliceResult(text="── 阵容完整性 ──\n 无数据", has_data=False, n_records=0)
return "\n".join(lines)
return SliceResult(text="\n".join(lines), has_data=True, n_records=n_records)
# ============================================================
@@ -266,42 +292,38 @@ async def injuries_slice(header: MatchHeader, *, before=None) -> str:
# ============================================================
async def build_context(match_id: int, *, form_last: int = 5, h2h_last: int = 5) -> MatchContext:
"""单 agent 路径的完整上下文: 拼接全部切片(before=比赛时间,防未来信息)。"""
"""单 agent 路径的完整上下文: 拼接全部切片(before=比赛时间,防未来信息)。
has_stats / has_injuries 直接取切片显式声明的 has_data,
不再靠文案子串匹配(见审查报告 P2-1)。
"""
header = await load_match_header(match_id)
parts = [header_text(header), ""]
has_stats = False
has_injuries = False
form_text = await form_slice(header, limit=form_last, before=header.match_dt)
if "无数据" not in form_text:
has_stats = True
parts.append(form_text)
form_res = await form_slice(header, limit=form_last, before=header.match_dt)
parts.append(form_res.text)
parts.append("")
h2h_text = await h2h_slice(header, limit=h2h_last, before=header.match_dt)
parts.append(h2h_text)
h2h_res = await h2h_slice(header, limit=h2h_last, before=header.match_dt)
parts.append(h2h_res.text)
parts.append("")
stats_text = await stats_slice(header, before=header.match_dt)
if "无数据" not in stats_text:
has_stats = True
parts.append(stats_text)
stats_res = await stats_slice(header, before=header.match_dt)
parts.append(stats_res.text)
parts.append("")
home_away_text = await home_away_slice(header, before=header.match_dt)
parts.append(home_away_text)
home_away_res = await home_away_slice(header, before=header.match_dt)
parts.append(home_away_res.text)
parts.append("")
injuries_text = await injuries_slice(header, before=header.match_dt)
if "无数据" not in injuries_text:
has_injuries = True
parts.append(injuries_text)
injuries_res = await injuries_slice(header, before=header.match_dt)
parts.append(injuries_res.text)
return MatchContext(
match_id=match_id,
text="\n".join(parts),
has_stats=has_stats,
has_injuries=has_injuries,
has_stats=form_res.has_data or stats_res.has_data,
has_injuries=injuries_res.has_data,
match_dt=header.match_dt,
)
@@ -328,9 +350,19 @@ async def _load_match(db, match_id: int) -> Match:
async def _get_form(db, team_id: int, before, *, limit: int = 5) -> list[Match]:
"""某队近 N 场(已完赛)。before=None 表示不限制(预测赛前的场景由调用方保证)。"""
"""某队近 N 场(已完赛)。before=None 表示不限制(预测赛前的场景由调用方保证)。
必须预加载 stats / home_team / away_team:切片函数会读取这些关系,
而 async session 下惰性加载会抛 MissingGreenlet。
(models.py 已声明 lazy="selectin",此处显式声明以固化查询意图。)
"""
stmt = (
select(Match)
.options(
selectinload(Match.stats),
selectinload(Match.home_team),
selectinload(Match.away_team),
)
.where(Match.match_status == "finished")
.where(Match.home_goals.is_not(None))
.where((Match.home_team_id == team_id) | (Match.away_team_id == team_id))
@@ -344,9 +376,13 @@ async def _get_form(db, team_id: int, before, *, limit: int = 5) -> list[Match]:
async def _get_h2h(db, home_id: int, away_id: int, before, *, limit: int = 5) -> list[Match]:
"""两队交锋史。"""
"""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.home_goals.is_not(None))
.where(
@@ -363,9 +399,17 @@ async def _get_h2h(db, home_id: int, away_id: int, before, *, limit: int = 5) ->
async def _get_home_away(db, team_id: int, side: str, before, *, limit: int = 10) -> list[Match]:
"""某队主场/客场近 N 场。side='home' 取主场,'away' 取客场。"""
"""某队主场/客场近 N 场。side='home' 取主场,'away' 取客场。
当前只用标量字段,但统一预加载以免后续扩展时踩坑。
"""
stmt = (
select(Match)
.options(
selectinload(Match.stats),
selectinload(Match.home_team),
selectinload(Match.away_team),
)
.where(Match.match_status == "finished")
.where(Match.home_goals.is_not(None))
.order_by(Match.match_date.desc())
+51 -15
View File
@@ -27,12 +27,18 @@ _cache: dict[str, tuple[float, PredictResult]] = {}
_cache_lock = Lock()
def _cache_key(match_id: int, provider: str, model: str, version: str) -> str:
return f"{match_id}:{provider}:{model}:{version}"
def _cache_key(match_id: int, provider: str, model: str, version: str, tpl_hash: str) -> str:
"""缓存键:含 prompt 模板内容 hash。
仅用 version 做键不够 —— 编辑器里改动 `match_prediction_v1.md` 而版本号
不变时,进程内缓存仍会返回旧模板产生的旧结果(见审查报告 P2-6)。
把模板内容 hash 纳入键,模板一改缓存自动失效。
"""
return f"{match_id}:{provider}:{model}:{version}:{tpl_hash[:12]}"
def _get_cached(match_id: int, provider: str, model: str, version: str) -> PredictResult | None:
key = _cache_key(match_id, provider, model, version)
def _get_cached(match_id: int, provider: str, model: str, version: str, tpl_hash: str) -> PredictResult | None:
key = _cache_key(match_id, provider, model, version, tpl_hash)
with _cache_lock:
if key in _cache:
ts, result = _cache[key]
@@ -42,12 +48,22 @@ def _get_cached(match_id: int, provider: str, model: str, version: str) -> Predi
return None
def _set_cached(match_id: int, provider: str, model: str, version: str, result: PredictResult) -> None:
key = _cache_key(match_id, provider, model, version)
def _set_cached(match_id: int, provider: str, model: str, version: str, tpl_hash: str, result: PredictResult) -> None:
key = _cache_key(match_id, provider, model, version, tpl_hash)
with _cache_lock:
_cache[key] = (time.time(), result)
def clear_prompt_cache() -> None:
"""清空 prompt 模板缓存(供开发/热更新时手动调用)。
lru_cache 的模板缓存是进程级的,改完 .md 需要重启进程才能生效;
提供显式清理入口,避免"改了模板却看不到变化"的困惑(见审查报告 P2-5)。
"""
_load_prompt_template.cache_clear()
logger.info("prompt 模板缓存已清空")
@functools.lru_cache(maxsize=8)
def _load_prompt_template(version: str = "v1") -> str:
"""缓存 prompt 模板(进程生命周期内每个版本只读一次)。"""
@@ -58,6 +74,11 @@ def _load_prompt_template(version: str = "v1") -> str:
return f.read()
def _prompt_template_hash(version: str) -> str:
"""prompt 模板内容 hash(用于缓存键,模板变更即失效)。"""
return hashlib.sha256(_load_prompt_template(version).encode("utf-8")).hexdigest()
@dataclass
class PredictResult:
prediction_id: int
@@ -81,11 +102,22 @@ async def predict_match(
model: str | None = None,
prompt_version: str | None = None,
mode: str = "multi",
use_cache: bool = True,
) -> "PredictResult | MultiPredictResult":
"""预测入口。mode=multi(默认)走多 agent;mode=single 走单次调用。"""
"""预测入口。mode=multi(默认)走多 agent;mode=single 走单次调用。
Args:
use_cache: 是否允许返回进程内缓存结果。回测必须传 False——
缓存命中不会新建 prediction 行,调用方会对同一个 prediction_id
反复 settle,把不同比赛的真实比分覆盖到同一条记录上。
"""
if mode == "single":
return await _predict_single(
match_id, provider=provider, model=model, prompt_version=prompt_version
match_id,
provider=provider,
model=model,
prompt_version=prompt_version,
use_cache=use_cache,
)
from src.llm.agents.orchestrator import predict_match_multi
@@ -98,6 +130,7 @@ async def _predict_single(
provider: LLMProvider | None = None,
model: str | None = None,
prompt_version: str | None = None,
use_cache: bool = True,
) -> PredictResult:
"""单次调用路径(原有实现)。"""
if provider is None:
@@ -105,12 +138,14 @@ async def _predict_single(
if model:
provider.model = model
version = prompt_version or "v1"
tpl_hash = _prompt_template_hash(version)
# 0. 查缓存(同 match+provider+model+version 5 分钟内直接返)
cached = _get_cached(match_id, settings.LLM_PROVIDER, provider.model, version)
if cached is not None:
logger.debug("predict cache hit match=%s", match_id)
return cached
# 0. 查缓存(同 match+provider+model+version+模板hash 5 分钟内直接返)
if use_cache:
cached = _get_cached(match_id, settings.LLM_PROVIDER, provider.model, version, tpl_hash)
if cached is not None:
logger.debug("predict cache hit match=%s", match_id)
return cached
# 1. 拼上下文
ctx = await build_context(match_id)
@@ -191,6 +226,7 @@ async def _predict_single(
raw=resp.raw,
)
# 5. 写入缓存
_set_cached(match_id, settings.LLM_PROVIDER, provider.model, version, result)
# 5. 写入缓存(仅当允许缓存时)
if use_cache:
_set_cached(match_id, settings.LLM_PROVIDER, provider.model, version, tpl_hash, result)
return result
+69 -1
View File
@@ -10,6 +10,9 @@ from pydantic import BaseModel, Field, field_validator, model_validator
logger = logging.getLogger(__name__)
# 已知的 5 个专家 agent 名(与 orchestrator.SPECIALIST_SPECS 保持一致)
KNOWN_AGENT_NAMES: tuple[str, ...] = ("form", "stats", "home_away", "injuries", "h2h")
class AgentReportSchema(BaseModel):
"""单个专家 Agent 输出的校验 schema。"""
@@ -64,9 +67,17 @@ class PredictionOutputSchema(BaseModel):
@model_validator(mode="after")
def check_consistency(self) -> "PredictionOutputSchema":
"""验证比分与胜平负一致,不一致则自动修正。"""
"""验证比分与胜平负一致
不一致时以比分为准修正 pred_1x2(比分是更结构化的输出),
但**必须告警** —— 静默修正会掩盖 LLM 的自相矛盾,让问题无法被发现。
"""
expected = _score_to_1x2(self.pred_home_goals, self.pred_away_goals)
if self.pred_1x2 != expected:
logger.warning(
"1x2 与比分不一致: 比分 %.1f-%.1f 推出 '%s',但 LLM 给出 '%s';以比分修正",
self.pred_home_goals, self.pred_away_goals, expected, self.pred_1x2,
)
self.pred_1x2 = expected
return self
@@ -80,6 +91,63 @@ def _score_to_1x2(home: float, away: float) -> str:
return "X"
class AgentWeightsSchema(BaseModel):
"""终裁给出的各专家权重校验 schema。
权重含义:各专家报告在最终决策中的相对影响力。约束:
- key 必须是已知的 5 个专家名
- value ∈ [0, 1]
- 总和允许有 0.05 的浮点误差(LLM 常凑不到精确 1.0),
超出则归一化到 1.0 而不是直接拒收
"""
weights: dict[str, float] = Field(default_factory=dict)
@field_validator("weights", mode="before")
@classmethod
def coerce_weights(cls, v):
if v is None:
return {}
if not isinstance(v, dict):
raise ValueError(f"agent_weights 必须是 dict,得到 {type(v).__name__}")
out: dict[str, float] = {}
for k, raw in v.items():
key = str(k).strip().lower()
if key not in KNOWN_AGENT_NAMES:
logger.warning("agent_weights 含未知专家 '%s',已忽略", k)
continue
f = _safe_float(raw)
if f is None:
logger.warning("agent_weights['%s']=%r 非数值,已忽略", k, raw)
continue
# 负数直接钳到 0;超过 1 的钳到 1
out[key] = min(max(f, 0.0), 1.0)
return out
@model_validator(mode="after")
def normalize_sum(self) -> "AgentWeightsSchema":
"""权重和不为 1 时归一化(而非拒收),并在偏离较大时告警。"""
if not self.weights:
return self
total = sum(self.weights.values())
if total <= 0:
return self
if abs(total - 1.0) > 0.05:
logger.warning("agent_weights 总和为 %.3f,已归一化到 1.0", total)
self.weights = {k: v / total for k, v in self.weights.items()}
return self
def validate_agent_weights(raw) -> dict[str, float]:
"""校验并规范化终裁给出的 agent_weights。非法输入返回空 dict。"""
if raw is None:
return {}
try:
return AgentWeightsSchema(weights=raw).weights
except Exception as e:
logger.warning("agent_weights 校验失败,丢弃: %s", e)
return {}
def validate_agent_output(raw: dict) -> AgentReportSchema:
"""校验并规范化单个 Agent 输出。"""
return AgentReportSchema(
+97
View File
@@ -219,3 +219,100 @@ class TestOrchestratorAggregation:
)
assert "{{match_header}}" not in rendered
assert "{{agent_reports}}" not in rendered
class TestSliceResultGate:
"""P2-1: 结构化 has_data 门控(替代脆弱的文案子串匹配)。"""
def test_sliceresult_empty_is_no_data(self):
from src.llm.agents.base import _slice_has_data
from src.llm.context_builder import SliceResult
text, has = _slice_has_data(SliceResult(text="── x ──\n 无数据", has_data=False))
assert has is False
def test_sliceresult_with_data_beats_text(self):
"""即使文案里出现「无数据」字样,结构化 has_data=True 也应胜出。
这正是旧实现的漏洞:文案匹配会把主队: 无伤停数据 / 客队: 2人伤停
这类混合输出这里显式验证结构化声明优先
"""
from src.llm.agents.base import _slice_has_data
from src.llm.context_builder import SliceResult
tricky = SliceResult(
text="── 阵容完整性 ──\n 主队: 无伤停数据\n 客队伤停(1人):\n - X: 拉伤",
has_data=True,
)
_, has = _slice_has_data(tricky)
assert has is True
def test_str_fallback_still_works(self):
"""旧式 str 切片(测试 mock / 自定义切片)仍走文案回退,保持兼容。"""
from src.llm.agents.base import _slice_has_data
assert _slice_has_data("── 伤停 ──\n 无数据")[1] is False
assert _slice_has_data("── 交锋 ──\n A 2-1 B")[1] is True
def test_sliceresult_str_compat(self):
"""SliceResult 可当 str 用(老调用点无需改)。"""
from src.llm.context_builder import SliceResult
s = SliceResult(text="hello", has_data=True)
assert str(s) == "hello"
class TestAgentWeightsValidation:
"""P2-2: agent_weights 必须过校验才能落库。"""
def test_unknown_agent_dropped(self):
from src.llm.validation import validate_agent_weights
w = validate_agent_weights({"form": 0.4, "h2h": 0.4, "bogus": 0.2, "stats": 0.4})
assert "bogus" not in w
assert set(w) <= {"form", "stats", "home_away", "injuries", "h2h"}
def test_out_of_range_clamped(self):
from src.llm.validation import validate_agent_weights
w = validate_agent_weights({"form": 5.0, "h2h": -1.0})
assert w["form"] == 1.0
assert w["h2h"] == 0.0
def test_sum_normalized(self):
from src.llm.validation import validate_agent_weights
w = validate_agent_weights({"form": 2.0, "stats": 2.0})
assert abs(sum(w.values()) - 1.0) < 1e-9
def test_no_weights_returns_empty(self):
from src.llm.validation import validate_agent_weights
assert validate_agent_weights(None) == {}
assert validate_agent_weights("not a dict") == {}
class TestPredictionConsistencyWarn:
"""P2-3: 比分与 1x2 不一致 → 以比分修正(且告警)。"""
def test_mismatch_is_corrected_to_score(self):
from src.llm.validation import validate_prediction_output
v = validate_prediction_output({
"pred_home_goals": 2.0,
"pred_away_goals": 1.0,
"pred_1x2": "X", # 与 2-1 矛盾
"subjective_confidence": 0.7,
})
assert v.pred_1x2 == "1" # 按比分修正
def test_consistent_passes_through(self):
from src.llm.validation import validate_prediction_output
v = validate_prediction_output({
"pred_home_goals": 0.0,
"pred_away_goals": 0.0,
"pred_1x2": "X",
"subjective_confidence": 0.5,
})
assert v.pred_1x2 == "X"
+99
View File
@@ -0,0 +1,99 @@
"""回归测试:锁定 P0 三项「静默失效」缺陷不再复发。
这些用例不依赖数据库 它们用静态分析检查代码结构,
因为三个 P0 的本质都是集成方式错误, mock slice_fn /
provider 的单元测试里永远照不出来(这正是它们当初漏网的原因)
- P0-1/P0-2: 查询 Match 的函数必须 eager-load 切片会访问的关系
- P0-3: bzzoiro source_event_id 时用的 raw 必须与 nm 配对
"""
from __future__ import annotations
import re
from pathlib import Path
SRC = Path(__file__).resolve().parent.parent / "src"
# 切片函数会读取的关系属性 → 查询时必须 eager-load
MATCH_RELATIONS = ("stats", "home_team", "away_team", "league")
def _read(rel: str) -> str:
return (SRC / rel).read_text(encoding="utf-8")
class TestEagerLoadCoverage:
"""P0-1 / P0-2: 凡是 select(Match) 且后续访问关系的函数,必须有 eager-load。"""
def test_context_builder_getters_eager_load(self):
"""_get_form / _get_h2h / _get_home_away 必须预加载关系。
models.py 已声明 lazy="selectin" 兜底,但这里同时检查显式
selectinload 显式声明是查询意图的固化,也被 P0 修复所依赖
"""
src = _read("llm/context_builder.py")
for fn in ("_get_form", "_get_h2h", "_get_home_away"):
# 截取函数体
m = re.search(rf"async def {fn}\(.*?(?=\nasync def |\n# =|\Z)", src, re.S)
assert m, f"{fn} 未找到"
body = m.group(0)
assert "selectinload" in body, (
f"{fn} 查询 Match 但未 eager-load 关系 —— "
"this would raise MissingGreenlet in async SQLAlchemy (P0-2)"
)
def test_backtest_candidates_eager_load(self):
"""回测取历史比赛必须 eager-load(否则 session 关闭后访问关系必炸)。"""
src = _read("llm/backtest.py")
assert "selectinload" in src, "backtest 未 eager-load 关系 (P0-1)"
def test_relationship_default_is_selectin(self):
"""models.py 中 Match 的高频关系应声明 lazy='selectin' 作为兜底。"""
src = _read("db/models.py")
# 找到 Match 类定义段
m = re.search(r"class Match\(Base\):.*?(?=\nclass )", src, re.S)
assert m, "Match 类未找到"
body = m.group(0)
for rel in MATCH_RELATIONS:
# 关系声明可能跨多行(stats/home_team/away_team 都是),因此按
# 「从 `rel: Mapped` 到下一个 `xxx: Mapped` 之前」整段匹配。
m_rel = re.search(
rf"^\s*{rel}: Mapped.*?(?=^\s*\w+: Mapped|\Z)", body, re.M | re.S
)
assert m_rel, f"Match.{rel} 未找到"
assert 'lazy="selectin"' in m_rel.group(0), (
f"Match.{rel} 未声明 lazy='selectin' —— 兜底缺失 (P0-2)"
)
class TestBzzoiroLineage:
"""P0-3: source_event_id 必须取配对的 raw,不能是循环残留变量。"""
def test_normalized_matches_carries_raw(self):
src = _read("data/bzzoiro.py")
# 规范化结果必须与原始 event 成对保存
assert "normalized_matches.append((nm, raw))" in src, (
"normalized_matches 未携带 (nm, raw) 元组 —— raw 变量泄漏会回归 (P0-3)"
)
# 内层消费循环必须解包成对变量
assert re.search(r"for nm, raw in normalized_matches", src), (
"消费循环未解包 (nm, raw) —— 血缘字段会取到错误 event (P0-3)"
)
def test_no_orphan_raw_use(self):
"""source_event_id 所在行必须在解包循环内(用缩进 + 上下文粗判)。"""
src = _read("data/bzzoiro.py")
lines = src.splitlines()
# 找到 "for nm, raw in normalized_matches" 所在行号
start = next(
(i for i, ln in enumerate(lines) if "for nm, raw in normalized_matches" in ln),
None,
)
assert start is not None
# 该循环之后、下一个同/更低缩进的顶层语句之前的范围
seg = "\n".join(lines[start:])
uses = [ln for ln in seg.splitlines() if "source_event_id" in ln]
assert uses, "未找到 source_event_id 赋值"
assert all("raw.get(" in ln for ln in uses), (
"source_event_id 未使用配对的 raw (P0-3)"
)