fix: 应用代码审查三项发现

- frontend: .tab 补 position:relative,修复激活 tab 下划线定位缺失定位上下文
- core/retry.py: 删除全项目零调用的重试模块(避免"看似生效实际未接入"的误判)
- llm/validation.py: KNOWN_AGENT_NAMES 改为从 orchestrator.SPECIALIST_SPECS 派生,单一权威源

frontend/src/index.css

@@ -80,7 +80,7 @@
 
   /* ── 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;
+    @apply relative 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;

src/core/retry.py

@@ -1,89 +0,0 @@
-"""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
-import functools
-import logging
-import random
-import time
-from typing import Callable, Iterable, TypeVar
-
-logger = logging.getLogger(__name__)
-
-T = TypeVar("T")
-
-
-def with_retry(
-    *,
-    max_retries: int = 3,
-    base_delay: float = 1.0,
-    max_delay: float = 30.0,
-    retryable_exceptions: Iterable[type[BaseException]] = (Exception,),
-    on_retry: Callable[[Exception, int], None] | None = None,
-) -> Callable:
-    """重试装饰器(同步/异步通用,指数退避 + 抖动)。
-
-    Args:
-        max_retries: 最大重试次数
-        base_delay: 基础延迟(秒)
-        max_delay: 最大延迟(秒)
-        retryable_exceptions: 触发重试的异常类型
-        on_retry: 重试回调(exception, attempt)
-    """
-    retryable = tuple(retryable_exceptions)
-
-    def decorator(func: Callable) -> Callable:
-        @functools.wraps(func)
-        async def async_wrapper(*args, **kwargs):
-            last_exc: Exception | None = None
-            for attempt in range(max_retries + 1):
-                try:
-                    return await func(*args, **kwargs)
-                except retryable as e:
-                    last_exc = e
-                    if attempt == max_retries:
-                        break
-                    delay = min(base_delay * (2 ** attempt), max_delay)
-                    delay += random.uniform(0, delay * 0.1)  # 抖动
-                    logger.warning(
-                        "%s failed (attempt %d/%d), retry in %.1fs: %s",
-                        func.__name__, attempt + 1, max_retries, delay, e,
-                    )
-                    if on_retry:
-                        on_retry(e, attempt + 1)
-                    await asyncio.sleep(delay)
-            raise last_exc  # type: ignore[misc]
-
-        @functools.wraps(func)
-        def sync_wrapper(*args, **kwargs):
-            last_exc: Exception | None = None
-            for attempt in range(max_retries + 1):
-                try:
-                    return func(*args, **kwargs)
-                except retryable as e:
-                    last_exc = e
-                    if attempt == max_retries:
-                        break
-                    delay = min(base_delay * (2 ** attempt), max_delay)
-                    delay += random.uniform(0, delay * 0.1)
-                    logger.warning(
-                        "%s failed (attempt %d/%d), retry in %.1fs: %s",
-                        func.__name__, attempt + 1, max_retries, delay, e,
-                    )
-                    if on_retry:
-                        on_retry(e, attempt + 1)
-                    time.sleep(delay)
-            raise last_exc  # type: ignore[misc]
-
-        if asyncio.iscoroutinefunction(func):
-            return async_wrapper
-        return sync_wrapper
-
-    return decorator

src/llm/validation.py

@@ -10,8 +10,10 @@ 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")
+# 单一权威源:从 orchestrator.SPECIALIST_SPECS 派生,避免两端独立定义导致静默偏离
+from src.llm.agents.orchestrator import SPECIALIST_SPECS
+
+KNOWN_AGENT_NAMES: tuple[str, ...] = tuple(spec.name for spec in SPECIALIST_SPECS)
 
 
 class AgentReportSchema(BaseModel):