feat: 新增风险图谱算法与系统仪表盘及操作反馈体系

后端新增风险图谱算法模块、风险观察与反馈服务、规则 DSL
校验器和可解释性引擎，完善系统仪表盘和财务仪表盘统计，
优化 agent 运行和编排执行链路，清理旧开发文档，前端新增
系统趋势、负载热力图等多种仪表盘图表组件，完善操作反馈
对话框和工作台日期选择器，优化报销创建和审批详情交互，
补充单元测试覆盖。

server/src/app/services/ontology_detection.py

@@ -23,12 +23,12 @@ from app.services.ontology_rules import (
     DRAFT_FOLLOW_UP_KEYWORDS,
     DRAFT_KEYWORDS,
     EXPENSE_APPLICATION_CONTEXT_TYPES,
-    EXPENSE_APPLICATION_KEYWORDS,
     EXPENSE_NARRATIVE_KEYWORDS,
     EXPENSE_REVIEW_ACTIONS,
     EXPLAIN_KEYWORDS,
     GENERIC_EXPENSE_PROMPTS,
     KNOWLEDGE_INTENTS,
+    looks_like_expense_application_signal,
     OPERATE_KEYWORDS,
     QUERY_KEYWORDS,
     RISK_KEYWORDS,
@@ -90,7 +90,7 @@ class OntologyDetectionMixin:
 
     @staticmethod
     def _looks_like_expense_application(compact_query: str) -> bool:
-        return any(keyword in compact_query for keyword in EXPENSE_APPLICATION_KEYWORDS)
+        return looks_like_expense_application_signal(compact_query)
 
     def _detect_scenario(self, compact_query: str) -> tuple[str, float]:
         scores = {key: 0.0 for key in SCENARIO_KEYWORDS}
@@ -320,7 +320,7 @@ class OntologyDetectionMixin:
         time_range: OntologyTimeRange,
         metrics: list[OntologyMetric],
         constraints: list[OntologyConstraint],
-    ) -> LlmOntologyParseResult | None:
+    ) -> tuple[LlmOntologyParseResult | None, list[dict[str, Any]], str | None]:
         messages = self._build_model_messages(
             payload=payload,
             query=query,
@@ -332,20 +332,22 @@ class OntologyDetectionMixin:
             metrics=metrics,
             constraints=constraints,
         )
-        response_text = self.runtime_chat_service.complete(
+        chat_result = self.runtime_chat_service.complete_with_trace(
             messages,
             max_tokens=600,
             temperature=0.0,
         )
+        response_text = chat_result.text
+        traces = chat_result.calls_as_dicts()
         payload_json = self._extract_json_payload(response_text)
         if payload_json is None:
-            return None
+            return None, traces, "model_output_empty_or_invalid_json"
 
         try:
-            return LlmOntologyParseResult.model_validate(payload_json)
+            return LlmOntologyParseResult.model_validate(payload_json), traces, None
         except ValidationError as exc:
             logger.warning("Semantic model output validation failed: %s", exc)
-            return None
+            return None, traces, "model_output_validation_failed"
 
     @staticmethod
     def _build_model_messages(