feat: 新增预算中心本体与风险规则评分回填

后端新增预算本体解析模块和风险规则评分回填服务，优化规则
生成本体对齐和提示词构建，增强费用类型关键词和本体验证，
完善报销查询和审计接口，前端预算中心页面增加对话框和本
体工具函数，重构审计页面元数据和视图模型，补充单元测试。

server/src/app/services/ontology_detection.py

@@ -15,8 +15,10 @@ from app.schemas.ontology import (
     OntologyTimeRange,
 )
 from app.services.ontology_rules import (
-    AR_CORE_KEYWORDS,
     AP_CORE_KEYWORDS,
+    AR_CORE_KEYWORDS,
+    BUDGET_DRAFT_KEYWORDS,
+    BUDGET_OPERATE_KEYWORDS,
     COMPARE_KEYWORDS,
     DRAFT_FOLLOW_UP_KEYWORDS,
     DRAFT_KEYWORDS,
@@ -27,13 +29,13 @@ from app.services.ontology_rules import (
     EXPLAIN_KEYWORDS,
     GENERIC_EXPENSE_PROMPTS,
     KNOWLEDGE_INTENTS,
-    LlmOntologyEntityHint,
-    LlmOntologyParseResult,
     OPERATE_KEYWORDS,
     QUERY_KEYWORDS,
     RISK_KEYWORDS,
     SCENARIO_KEYWORDS,
     STATUS_KEYWORDS,
+    LlmOntologyEntityHint,
+    LlmOntologyParseResult,
 )
 
 logger = get_logger("app.services.ontology")
@@ -99,6 +101,9 @@ class OntologyDetectionMixin:
 
         best_scenario = max(scores, key=scores.get)
         best_score = scores[best_scenario]
+        if scores.get("budget", 0.0) > 0 and scores["budget"] >= best_score:
+            best_scenario = "budget"
+            best_score = scores["budget"]
         if best_score <= 0:
             if "单据" in compact_query and any(
                 keyword in compact_query for keyword in STATUS_KEYWORDS
@@ -111,9 +116,10 @@ class OntologyDetectionMixin:
                 scores["expense"],
                 scores["accounts_receivable"],
                 scores["accounts_payable"],
+                scores["budget"],
             ]
             if max(business_scores) > 0:
-                best_scenario = ("expense", "accounts_receivable", "accounts_payable")[
+                best_scenario = ("expense", "accounts_receivable", "accounts_payable", "budget")[
                     business_scores.index(max(business_scores))
                 ]
                 best_score = max(business_scores)
@@ -130,6 +136,14 @@ class OntologyDetectionMixin:
     ) -> tuple[str, float]:
         if any(keyword in compact_query for keyword in OPERATE_KEYWORDS):
             return "operate", 0.30
+        if scenario == "budget" and any(
+            keyword in compact_query for keyword in BUDGET_OPERATE_KEYWORDS
+        ):
+            return "operate", 0.30
+        if scenario == "budget" and any(
+            keyword in compact_query for keyword in BUDGET_DRAFT_KEYWORDS
+        ):
+            return "draft", 0.28
         status_document_query = (
             "单据" in compact_query
             and any(keyword in compact_query for keyword in STATUS_KEYWORDS)
@@ -383,13 +397,15 @@ class OntologyDetectionMixin:
             "你的任务是把用户输入解析为固定 JSON，用于后续路由、追问和权限判断。"
             "只输出 JSON 对象，不要输出 Markdown、代码块、解释、标题或 <think>。"
             "场景 scenario 只能是：expense, accounts_receivable, "
-            "accounts_payable, knowledge, unknown。"
+            "accounts_payable, budget, knowledge, unknown。"
             "意图 intent 只能是：query, explain, compare, risk_check, draft, operate。"
             "如果用户是在描述一笔待处理费用、待报销事项、上传票据或希望整理报销，"
             "即使没有明确说“生成草稿”，也优先使用 expense + draft。"
             "如果提供了 conversation_history，必须把最近轮次作为当前追问的上下文，"
             "正确理解“这个”“那笔”“改成 800”“继续补充”这类省略表达。"
             "出现“客户”不等于应收，出现“供应商”不等于应付，必须结合动作词和业务目标判断。"
+            "预算编制、预算金额、成本中心、预算科目、预算预警、预算占用、"
+            "剩余预算、可用预算、超预算、预算不足等问题必须使用 budget 场景。"
             "只有明确查询、统计、列出、多少、明细、对比时才优先使用 query 或 compare。"
             "附件名称和 OCR 摘要只作为辅助证据，不能编造未出现的事实。"
             "如果用户明确提到打车、的士票、出租车票、网约车、乘车费、车费等交通票据，"
@@ -397,7 +413,8 @@ class OntologyDetectionMixin:
             "不要输出用户原文未出现、且与规则候选冲突的费用类型。"
             "信息不足时 clarification_required=true，并给出一句简短中文追问。"
             "missing_slots 使用简短 snake_case，例如 expense_type, amount, "
-            "customer_name, participants, attachments。"
+            "customer_name, participants, attachments, budget_period, "
+            "budget_subject, budget_amount。"
             "entity_hints 只填写你比较确定的业务对象；如果不确定，可以返回空数组。"
             "费用申请场景下，建议把干净的申请事由放入 type=reason，"
             "把出行方式放入 type=transport_mode，取值优先为飞机、火车、轮船。"
@@ -422,6 +439,9 @@ class OntologyDetectionMixin:
             '"confidence": 0.86},\n'
             '    {"type": "reason", "value": "服务客户业务部署", '
             '"normalized_value": "服务客户业务部署", "role": "target", '
+            '"confidence": 0.86},\n'
+            '    {"type": "budget_subject", "value": "差旅费", '
+            '"normalized_value": "travel", "role": "filter", '
             '"confidence": 0.86}\n'
             "  ]\n"
             "}"