fix(management): validate_config补grade_bounds形状与跨维度code唯一性校验

yunke-server/app/management/metric_definitions.py

@@ -96,23 +96,42 @@ DEFAULT_SCORE_CONFIG: dict = {
 
 
 def validate_config(config: dict) -> list[str]:
-    """配置校验:权重总和/结构/引用的 metric_code 有元数据/阈值形状。
+    """配置校验:权重总和/结构/引用的 metric_code 有元数据/阈值形状/
+    grade_bounds 形状/指标 code 跨维度唯一。
 
     阈值形状(随评分引擎落地的 B0 评审预埋要求):
     - type 须为 target/reverse/band 三者之一
     - target : floor < target
     - reverse: target_ms < floor_ms(100 分线在 0 分线之前)
     - band   : low < high
+    B4 预埋(配置将自 DB 加载,写入侧不再重跑种子校验):
+    - grade_bounds 须含 A/B/C/D 且严格降序
+    - 指标 code 跨维度不得重复:metrics_detail 为扁平 dict,
+      同名 code 会相互覆盖(后写胜出)
     """
     problems: list[str] = []
     dims = config.get("dimensions", {})
     total = sum(d.get("weight", 0) for d in dims.values())
     if total != 100:
         problems.append(f"维度权重总和须=100,当前 {total}")
+    gb = config.get("grade_bounds")
+    if not isinstance(gb, dict) or not all(
+        isinstance(gb.get(k), int) for k in ("A", "B", "C", "D")
+    ):
+        problems.append("grade_bounds 须含 A/B/C/D 且严格降序")
+    elif not (gb["A"] > gb["B"] > gb["C"] > gb["D"]):
+        problems.append(
+            f"grade_bounds 须严格降序 A>B>C>D"
+            f"(当前 A={gb['A']} B={gb['B']} C={gb['C']} D={gb['D']})"
+        )
+    seen_codes: dict[str, str] = {}
     for key, dim in dims.items():
         if dim.get("status") == "pending_data":
             continue
         for code, spec in dim.get("metrics", {}).items():
+            if code in seen_codes:
+                problems.append(f"指标 code 重复定义于多维度: {code}")
+            seen_codes[code] = key
             src = spec.get("metric", code)
             if src not in METRIC_DEFINITIONS:
                 problems.append(f"{key}.{code} 引用未定义指标 {src}")

yunke-server/tests/test_management_scoring.py

@@ -277,3 +277,29 @@ def test_validate_config_threshold_shapes():
                     .update(low=300))  # low>high 200
     assert any("call_band" in p and "low<high" in p
                for p in validate_config(bad_band))
+
+
+def test_validate_config_grade_bounds_shape():
+    """grade_bounds 须含 A/B/C/D 且严格降序(B4 DB 配置加载预埋)。"""
+    missing = json.loads(json.dumps(DEFAULT_SCORE_CONFIG))  # deep copy
+    del missing["grade_bounds"]["A"]
+    assert any("grade_bounds" in p for p in validate_config(missing))
+
+    non_desc = json.loads(json.dumps(DEFAULT_SCORE_CONFIG))
+    non_desc["grade_bounds"].update(A=80, B=90)  # A<B 非降序
+    assert any("grade_bounds" in p and "严格降序" in p
+               for p in validate_config(non_desc))
+
+
+def test_validate_config_cross_dimension_code_unique():
+    """同指标 code 出现于两维度:metrics_detail 扁平 dict 会碰撞,须报问题。"""
+    dup = json.loads(json.dumps(DEFAULT_SCORE_CONFIG))  # deep copy
+    # 把 customer 维的 active_share 整个抄进 service 维 → code 跨维度重复
+    dup["dimensions"]["service"]["metrics"]["active_share"] = \
+        dup["dimensions"]["customer"]["metrics"]["active_share"]
+    assert any("active_share" in p and "重复" in p for p in validate_config(dup))
+
+
+def test_validate_config_default_config_clean():
+    """默认配置自身必须全绿(空问题列表)。"""
+    assert validate_config(DEFAULT_SCORE_CONFIG) == []