refactor(management): 种子函数移入management包+深拷贝冻结配置+清理死代码

Co-Authored-By: Claude Code <noreply@anthropic.com>

yunke-server/app/management/metric_definitions.py

@@ -7,6 +7,10 @@ DEFAULT_SCORE_CONFIG 为 v1.0 试算起点——所有阈值标「试算」,调
 """
 from __future__ import annotations
 
+import copy
+
+import sqlalchemy as sa
+
 # direction: +1 越大越好 / -1 越小越好;caliber 注明与看板差异
 METRIC_DEFINITIONS: dict[str, dict] = {
     "msg_sent": {"name": "发出消息(1:1)", "unit": "条", "direction": 1,
@@ -103,3 +107,37 @@ def validate_config(config: dict) -> list[str]:
             if src not in METRIC_DEFINITIONS:
                 problems.append(f"{key}.{code} 引用未定义指标 {src}")
     return problems
+
+
+async def _seed_score_config(session) -> str | None:
+    """种子默认评分配置;已存在同版本返回 None(幂等)。纯会话函数可测。
+
+    同 ensure_starter_words 先例:域包提供纯会话种子函数,CLI 只做接线。
+    config_json 用 deepcopy 冻结快照——JSON 列须整列重赋值,深拷贝防止
+    长驻 API 进程未来的原地修改波及模块常量。
+    """
+    from app.db.models import EmployeeScoreConfig
+
+    problems = validate_config(DEFAULT_SCORE_CONFIG)
+    if problems:
+        raise ValueError(f"score config invalid: {problems}")
+    exists = (
+        await session.execute(
+            sa.select(EmployeeScoreConfig.id).where(
+                EmployeeScoreConfig.version == DEFAULT_SCORE_CONFIG["version"]
+            )
+        )
+    ).scalar_one_or_none()
+    if exists is not None:
+        return None
+    session.add(
+        EmployeeScoreConfig(
+            version=DEFAULT_SCORE_CONFIG["version"],
+            name=DEFAULT_SCORE_CONFIG["name"],
+            status="active",
+            config_json=copy.deepcopy(DEFAULT_SCORE_CONFIG),
+            created_by="seed-cli",
+        )
+    )
+    await session.flush()
+    return DEFAULT_SCORE_CONFIG["version"]