feat: 扩展风险规则体系、审批动态路由与预算中心列表化改造

- 新增 25+ 条风险规则（预算/报销/申请/通用类），完善风险规则模拟与反馈发布机制
- 引入费用审批动态路由、平台风险分级、预审与风险阶段管理
- 预算中心列表化改造，优化票据夹仪表盘与数字员工工作看板
- 新增 Hermes 风险线索收集器、Agent 链路追踪中心
- 扩展数字员工能力库（18 个领域 Skill）与交通费用自动预估
- 完善报销申请快速预览、权限控制与前端测试覆盖

server/src/app/schemas/agent_asset.py

@@ -146,6 +146,38 @@ class AgentAssetRiskRuleRegenerateRequest(BaseModel):
     requires_attachment: bool | None = None
 
 
+class AgentAssetRiskRuleTemplateFieldRead(BaseModel):
+    key: str
+    label: str
+    display: str
+    source: str
+    type: str
+
+
+class AgentAssetRiskRuleTemplateRead(BaseModel):
+    template_id: str
+    group: str
+    group_label: str
+    title: str
+    description: str = ""
+    business_domain: str = "expense"
+    business_stage: str = "reimbursement"
+    business_stage_label: str = "费用报销"
+    expense_category: str | None = None
+    expense_category_label: str = ""
+    requires_attachment: bool = False
+    natural_language: str
+    fields: list[AgentAssetRiskRuleTemplateFieldRead] = Field(default_factory=list)
+    dsl_example: dict[str, Any] = Field(default_factory=dict)
+
+
+class AgentAssetRiskRuleTemplateGroupRead(BaseModel):
+    group: str
+    group_label: str
+    order: int
+    templates: list[AgentAssetRiskRuleTemplateRead] = Field(default_factory=list)
+
+
 class AgentAssetRiskRuleSampleCase(BaseModel):
     case_id: str | None = Field(default=None, max_length=60)
     name: str = Field(default="测试样例", min_length=1, max_length=80)
@@ -211,6 +243,9 @@ class AgentAssetRiskRuleSimulationRead(BaseModel):
     trace: dict[str, Any] = Field(default_factory=dict)
     attachments: list[dict[str, Any]] = Field(default_factory=list)
     recognized_fields: list[dict[str, Any]] = Field(default_factory=list)
+    ocr_raw_fields: list[dict[str, Any]] = Field(default_factory=list)
+    hermes_normalized_fields: list[dict[str, Any]] = Field(default_factory=list)
+    executor_input_fields: list[dict[str, Any]] = Field(default_factory=list)
     missing_fields: list[dict[str, Any]] = Field(default_factory=list)
     recognition_summary: list[dict[str, Any]] = Field(default_factory=list)
     execution_mode: str = "risk_rule_simulation"
@@ -229,6 +264,38 @@ class AgentAssetRiskRuleLevelUpdate(BaseModel):
     risk_level: str = Field(pattern="^(low|medium|high|critical)$")
 
 
+class AgentAssetRiskRuleFeedbackCreate(BaseModel):
+    version: str | None = Field(default=None, max_length=30)
+    feedback_type: str = Field(pattern="^(false_positive|false_negative|unclear|improvement)$")
+    subject_type: str | None = Field(default=None, max_length=50)
+    subject_key: str | None = Field(default=None, max_length=160)
+    subject_label: str | None = Field(default=None, max_length=200)
+    actual_result: dict[str, Any] = Field(default_factory=dict)
+    expected_result: dict[str, Any] = Field(default_factory=dict)
+    comment: str = Field(min_length=1, max_length=1000)
+    payload: dict[str, Any] = Field(default_factory=dict)
+
+
+class AgentAssetRiskRuleFeedbackRead(BaseModel):
+    model_config = ConfigDict(from_attributes=True)
+
+    id: str
+    feedback_id: str
+    asset_id: str
+    version: str
+    feedback_type: str
+    status: str
+    subject_type: str = ""
+    subject_key: str = ""
+    subject_label: str = ""
+    actual_result_json: dict[str, Any] = Field(default_factory=dict)
+    expected_result_json: dict[str, Any] = Field(default_factory=dict)
+    comment: str | None = None
+    payload_json: dict[str, Any] = Field(default_factory=dict)
+    created_by: str
+    created_at: datetime
+
+
 class AgentAssetRiskRuleTestRunRead(BaseModel):
     model_config = ConfigDict(from_attributes=True)
 

server/src/app/schemas/agent_trace.py

@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Any
+
+from pydantic import BaseModel, ConfigDict, Field
+
+from app.schemas.agent_run import AgentRunRead, AgentToolCallRead, SemanticParseRead
+from app.schemas.orchestrator import ConversationMessageRead
+
+
+class AgentTraceEventRead(BaseModel):
+    model_config = ConfigDict(from_attributes=True)
+
+    id: str
+    run_id: str
+    conversation_id: str | None = None
+    sequence: int
+    stage: str
+    event_name: str
+    title: str
+    summary: str | None = None
+    status: str
+    input_json: dict[str, Any] = Field(default_factory=dict)
+    output_json: dict[str, Any] = Field(default_factory=dict)
+    error_message: str | None = None
+    started_at: datetime
+    finished_at: datetime | None = None
+    duration_ms: int = 0
+    created_at: datetime
+
+
+class AgentTraceListItem(BaseModel):
+    run_id: str
+    conversation_id: str | None = None
+    agent: str
+    source: str
+    status: str
+    scenario: str | None = None
+    intent: str | None = None
+    title: str
+    summary: str | None = None
+    event_count: int = 0
+    tool_call_count: int = 0
+    failed_tool_call_count: int = 0
+    started_at: datetime
+    finished_at: datetime | None = None
+    duration_ms: int = 0
+
+
+class AgentTraceDetailRead(BaseModel):
+    run: AgentRunRead
+    conversation_id: str | None = None
+    events: list[AgentTraceEventRead] = Field(default_factory=list)
+    semantic_parse: SemanticParseRead | None = None
+    tool_calls: list[AgentToolCallRead] = Field(default_factory=list)
+    conversation_messages: list[ConversationMessageRead] = Field(default_factory=list)
+    fallback_generated: bool = False
+
+
+class AgentConversationTraceRead(BaseModel):
+    conversation_id: str
+    runs: list[AgentTraceDetailRead] = Field(default_factory=list)

server/src/app/schemas/digital_employee_dashboard.py

@@ -0,0 +1,16 @@
+from __future__ import annotations
+
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class DigitalEmployeeDashboardRead(BaseModel):
+    window_days: int
+    generated_at: str
+    has_real_data: bool
+    totals: dict[str, Any] = Field(default_factory=dict)
+    daily_work: list[dict[str, Any]] = Field(default_factory=list)
+    task_distribution: list[dict[str, Any]] = Field(default_factory=list)
+    category_distribution: list[dict[str, Any]] = Field(default_factory=list)
+    recent_runs: list[dict[str, Any]] = Field(default_factory=list)

server/src/app/schemas/reimbursement.py

@@ -130,6 +130,9 @@ class ExpenseClaimRead(BaseModel):
     employee_position: str | None = None
     employee_grade: str | None = None
     manager_name: str | None = None
+    budget_approver_name: str | None = None
+    budget_approver_grade: str | None = None
+    budget_approver_role_code: str | None = None
     role_labels: list[str] = Field(default_factory=list)
     project_code: str | None
     expense_type: str
@@ -202,6 +205,7 @@ class ExpenseClaimAttachmentActionResponse(BaseModel):
     item_location: str | None = None
     item_amount: Decimal | None = None
     claim_amount: Decimal | None = None
+    claim_risk_flags: list[Any] = Field(default_factory=list)
     attachment: ExpenseClaimAttachmentRead | None = None
 
 

server/src/app/schemas/risk_observation.py

@@ -117,9 +117,11 @@ class RiskObservationDashboardRead(BaseModel):
     window_days: int
     total_observations: int
     pending_count: int
+    risk_clue_count: int = 0
     high_or_above_count: int
     confirmed_count: int
     false_positive_count: int
+    feedback_sample_count: int = 0
     total_amount: float = 0.0
     average_score: float
     level_distribution: dict[str, int] = Field(default_factory=dict)