feat: Sprint 1 - 数据正确性整改

P2-01: 移除 lifespan create_all,改为仅验证连接
       新增 /health/ready 就绪检查
P0-04: LLM 输出严格 Pydantic 校验
       - Agent 输出越界/非法 → parse_error
       - 预测输出自动修正 1X2 与比分一致性
P0-01: injuries cutoff 修复
       - get_injuries_for_match 增加 as_of 参数
       - injuries_slice 使用 as_of 过滤 retrieved_at
       - 防止回测时未来采集数据泄漏
P1-12: 批量入库优化
       - 预加载 teams 到内存 dict
       - 预加载 existing matches 到内存 set
       - 消灭 N+1 查询

tests/test_agents.py

@@ -96,16 +96,24 @@ class TestReportParsing:
 
         parsed = {
             "data_sufficiency": "bogus",   # 非法 → medium
-            "home_edge": "very strong",    # 非法 → None
+            "home_edge": "very strong",    # 非法 → None (宽容降级)
             "confidence": None,
             "key_evidence": "单字符串",      # → [str]
         }
         resp = LLMResponse(content="{}", parsed=parsed)
         r = _parse_report("form", parsed, resp, "m")
+        # 宽容降级: 不抛异常,非法字段变 None 或默认值
+        assert r.status == "ok"
         assert r.data_sufficiency == "medium"
         assert r.home_edge is None
         assert r.key_evidence == ["单字符串"]
 
+        # 验证范围约束: confidence > 1 会被截断或拒绝
+        parsed2 = {"confidence": 1.5, "home_edge": 2.0}
+        r2 = _parse_report("form", parsed2, resp, "m")
+        # Pydantic 会拒绝越界值 → parse_error
+        assert r2.status == "parse_error"
+
 
 class TestRunAgent:
     """run_agent 执行器: 门控 + fail-open。"""