feat: 增强规则资产管理与审计页面运行时调试

后端新增规则资产版本管理和规则文件 CRUD 接口，优化风险
规则生成模板执行和员工数据模型字段，知识库 RAG 增强本
地回退和文档提取能力，清理旧风险规则文件统一由生成引擎
管理，前端审计页面增加运行时调试面板和规则资产编辑交互，
补充单元测试覆盖。

server/src/app/services/hermes_expense_report.py

@@ -0,0 +1,104 @@
+from __future__ import annotations
+
+import json
+from datetime import datetime, timedelta, timezone
+from typing import Any
+
+from sqlalchemy import func, select
+from sqlalchemy.orm import Session
+
+from app.core.logging import get_logger
+from app.models.financial_record import ExpenseClaim
+from app.services.runtime_chat import RuntimeChatService
+
+logger = get_logger("app.services.hermes_expense_report")
+
+
+class HermesExpenseReportService:
+    def __init__(self, db: Session) -> None:
+        self.db = db
+        self.chat_service = RuntimeChatService(db)
+
+    def generate_weekly_report(self, log_id: str | None = None) -> None:
+        logger.info("Starting Hermes weekly expense report generation...")
+        
+        # 1. 聚合数据
+        aggregated_data = self._aggregate_recent_expenses(days=7)
+        if not aggregated_data.get("total_amount"):
+            logger.info("No expense data in the last 7 days. Skipping report.")
+            return
+
+        # 2. 传入大模型分析
+        report_markdown = self._generate_insights_with_llm(aggregated_data)
+        
+        if not report_markdown:
+            logger.warning("Failed to generate expense report from LLM.")
+            return
+
+        # 3. 模拟发送报告
+        self._deliver_report(report_markdown, log_id)
+        logger.info("Hermes weekly expense report generation completed.")
+
+    def _aggregate_recent_expenses(self, days: int = 7) -> dict[str, Any]:
+        target_date = datetime.now(timezone.utc) - timedelta(days=days)
+        
+        # 基础过滤：最近N天且不是驳回状态的单据
+        base_filter = [
+            ExpenseClaim.occurred_at >= target_date,
+            ExpenseClaim.status != "rejected"
+        ]
+
+        # 1. 按部门汇总
+        dept_stmt = select(
+            ExpenseClaim.department_name, 
+            func.sum(ExpenseClaim.amount).label("total")
+        ).where(*base_filter).group_by(ExpenseClaim.department_name)
+        
+        dept_results = self.db.execute(dept_stmt).all()
+        by_department = {row.department_name or "Unknown": float(row.total or 0) for row in dept_results}
+
+        # 2. 按类目汇总
+        type_stmt = select(
+            ExpenseClaim.expense_type, 
+            func.sum(ExpenseClaim.amount).label("total")
+        ).where(*base_filter).group_by(ExpenseClaim.expense_type)
+        
+        type_results = self.db.execute(type_stmt).all()
+        by_expense_type = {row.expense_type or "Unknown": float(row.total or 0) for row in type_results}
+
+        # 3. 总花费
+        total_amount = sum(by_department.values())
+
+        return {
+            "period": f"Last {days} days",
+            "total_amount": total_amount,
+            "by_department": by_department,
+            "by_expense_type": by_expense_type
+        }
+
+    def _generate_insights_with_llm(self, data: dict[str, Any]) -> str | None:
+        system_prompt = (
+            "你是公司的财务分析专家。请根据提供的最近期业务开销数据，撰写一份简洁有力的【高管费控洞察周报】。\n"
+            "要求：\n"
+            "1. 不要机械地罗列数字，要像人一样指出异常（例如：哪个部门花钱最多？打车费是不是异常高？）。\n"
+            "2. 给出 1 条削减成本的实操建议。\n"
+            "3. 纯 Markdown 格式输出，不超过 300 字。"
+        )
+
+        messages = [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": f"开销统计数据：\n{json.dumps(data, ensure_ascii=False, indent=2)}"}
+        ]
+
+        response = self.chat_service.complete(
+            messages,
+            max_tokens=800,
+            temperature=0.4
+        )
+        return response
+
+    def _deliver_report(self, report_markdown: str, log_id: str | None) -> None:
+        # TODO: 未来在这里接入企微/钉钉机器人或邮件发送接口
+        logger.info(f"\n================ Hermes Weekly Report [LogID: {log_id}] ================\n"
+                    f"{report_markdown}\n"
+                    f"==========================================================================")