feat: 增强风险规则生成引擎与预算中心页面
后端拆分风险规则生成为解释器、语义分析、本体对齐等子模块， 优化模板执行和流程图生成，完善员工种子数据和导入逻辑，增强 报销单权限策略和草稿持久化，前端新增预算中心视图和趋势图 组件，重构审计页面和风险规则测试对话框交互，完善文档中心 和报销创建页面细节，补充单元测试覆盖。
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caoxiaozhu
199
server/src/app/services/risk_rule_manifest_normalizer.py
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199
server/src/app/services/risk_rule_manifest_normalizer.py
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from __future__ import annotations
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from typing import Any
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from app.services.risk_rule_flow_diagram import (
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RiskRuleFlowDiagramField,
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RiskRuleFlowDiagramRenderer,
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RiskRuleFlowDiagramSpec,
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)
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from app.services.risk_rule_generation_semantics import (
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CITY_ATTACHMENT_FIELDS,
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CITY_CONSISTENCY_SEMANTIC_TYPE,
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CITY_CONSISTENCY_SEMANTIC_TYPES,
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CITY_EXCEPTION_FIELDS,
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CITY_EXCEPTION_KEYWORDS,
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CITY_HOME_FIELDS,
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CITY_REFERENCE_FIELDS,
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build_city_consistency_params,
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is_city_consistency_rule,
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)
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RISK_LEVEL_LABELS = {
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"low": "低风险",
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"medium": "中风险",
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"high": "高风险",
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"critical": "极高风险",
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}
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CITY_ROUTE_CONDITION_SUMMARY = (
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"判断公式：A=交通票行程城市∪住宿发票城市，B=申报目的地∪明细发生地点，"
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"C=员工常驻地/合理出发地。若A或B为空则要求补充识别；若A与B无交集且无合理说明，"
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"或票据路线中存在不属于B∪C的额外城市，则命中目的地不一致/中途周转异常风险。"
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)
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CITY_ROUTE_FLOW_DECISION = (
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"附件城市是否覆盖申报行程，且票据路线是否出现申报目的地和常驻地之外的中转城市"
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)
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CITY_ROUTE_FLOW_EVIDENCE = (
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"读取员工常驻地、申报目的地、明细发生地点、交通票行程城市、住宿发票城市和报销事由"
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)
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def normalize_risk_rule_manifest(manifest: dict[str, Any]) -> dict[str, Any]:
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"""把历史误编译的城市一致性规则规范为受控语义 DSL。"""
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if not isinstance(manifest, dict) or not _looks_like_city_consistency_manifest(manifest):
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return manifest
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payload = dict(manifest)
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metadata = dict(payload.get("metadata") if isinstance(payload.get("metadata"), dict) else {})
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params = dict(payload.get("params") if isinstance(payload.get("params"), dict) else {})
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exception_keywords = _read_string_list(
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payload.get("exception_keywords") or params.get("exception_keywords")
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) or list(CITY_EXCEPTION_KEYWORDS)
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field_keys = _resolve_city_field_keys(payload, params)
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severity = _resolve_severity(payload)
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severity_label = RISK_LEVEL_LABELS.get(severity, "中风险")
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payload["template_key"] = "field_compare_v1"
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payload["semantic_type"] = CITY_CONSISTENCY_SEMANTIC_TYPE
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payload["keywords"] = []
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payload["exception_keywords"] = exception_keywords
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params.update(
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build_city_consistency_params(
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{
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"exception_keywords": exception_keywords,
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}
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)
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)
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params["template_key"] = "field_compare_v1"
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params["field_keys"] = field_keys
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params["condition_summary"] = CITY_ROUTE_CONDITION_SUMMARY
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payload["params"] = params
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payload["condition_summary"] = CITY_ROUTE_CONDITION_SUMMARY
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flow = dict(metadata.get("flow") if isinstance(metadata.get("flow"), dict) else {})
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flow["evidence"] = CITY_ROUTE_FLOW_EVIDENCE
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flow["decision"] = CITY_ROUTE_FLOW_DECISION
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flow.setdefault(
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"start",
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"差旅报销单据提交，并上传交通票据、住宿票据或其他可识别城市的附件",
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)
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flow.setdefault(
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"pass",
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"票据城市覆盖申报行程，且未出现申报目的地和常驻地之外的额外城市",
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)
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flow["fail"] = (
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f"票据路线存在目的地不一致或额外中转城市，命中{severity_label}并要求补充说明或退回修改"
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)
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metadata["condition_summary"] = CITY_ROUTE_CONDITION_SUMMARY
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metadata["flow"] = flow
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payload["metadata"] = metadata
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payload["flow_diagram_svg"] = _build_city_flow_svg(payload, field_keys, severity, severity_label)
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return payload
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def _looks_like_city_consistency_manifest(manifest: dict[str, Any]) -> bool:
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params = manifest.get("params") if isinstance(manifest.get("params"), dict) else {}
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semantic_type = str(manifest.get("semantic_type") or params.get("semantic_type") or "").strip()
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if semantic_type in CITY_CONSISTENCY_SEMANTIC_TYPES:
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return True
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metadata = manifest.get("metadata") if isinstance(manifest.get("metadata"), dict) else {}
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text = "\n".join(
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str(value or "")
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for value in (
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metadata.get("natural_language"),
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params.get("natural_language"),
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manifest.get("description"),
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metadata.get("condition_summary"),
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params.get("condition_summary"),
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)
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)
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if is_city_consistency_rule(text):
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return True
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field_keys = set(_resolve_city_field_keys(manifest, params))
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has_attachment_city = bool(field_keys & set(CITY_ATTACHMENT_FIELDS))
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has_reference_city = bool(field_keys & set(CITY_REFERENCE_FIELDS))
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return has_attachment_city and has_reference_city and "风险关键词" in text
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def _resolve_city_field_keys(manifest: dict[str, Any], params: dict[str, Any]) -> list[str]:
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inputs = manifest.get("inputs") if isinstance(manifest.get("inputs"), dict) else {}
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input_fields = inputs.get("fields") if isinstance(inputs.get("fields"), list) else []
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known = {
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str(item.get("key") or "").strip()
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for item in input_fields
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if isinstance(item, dict) and str(item.get("key") or "").strip()
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}
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candidates = [
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*_read_string_list(manifest.get("field_keys")),
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*_read_string_list(params.get("field_keys") or params.get("search_fields")),
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*CITY_ATTACHMENT_FIELDS,
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*CITY_REFERENCE_FIELDS,
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*CITY_HOME_FIELDS,
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*CITY_EXCEPTION_FIELDS,
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]
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resolved: list[str] = []
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for key in candidates:
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if known and key not in known and key not in {
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*CITY_ATTACHMENT_FIELDS,
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*CITY_REFERENCE_FIELDS,
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*CITY_HOME_FIELDS,
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*CITY_EXCEPTION_FIELDS,
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}:
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continue
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if key not in resolved:
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resolved.append(key)
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return resolved
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def _build_city_flow_svg(
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payload: dict[str, Any],
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field_keys: list[str],
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severity: str,
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severity_label: str,
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) -> str:
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inputs = payload.get("inputs") if isinstance(payload.get("inputs"), dict) else {}
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input_fields = inputs.get("fields") if isinstance(inputs.get("fields"), list) else []
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label_by_key = {
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str(item.get("key") or "").strip(): str(item.get("label") or item.get("key") or "").strip()
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for item in input_fields
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if isinstance(item, dict) and str(item.get("key") or "").strip()
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}
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fields = tuple(
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RiskRuleFlowDiagramField(key=key, label=label_by_key.get(key) or key)
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for key in field_keys[:8]
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)
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metadata = payload.get("metadata") if isinstance(payload.get("metadata"), dict) else {}
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flow = metadata.get("flow") if isinstance(metadata.get("flow"), dict) else {}
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return RiskRuleFlowDiagramRenderer().render(
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RiskRuleFlowDiagramSpec(
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title=str(payload.get("name") or "风险规则判断流程").strip(),
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domain_label=str(payload.get("risk_category") or "差旅费").strip(),
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severity=severity,
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severity_label=severity_label,
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fields=fields,
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start=str(flow.get("start") or "差旅报销单据提交").strip(),
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evidence=CITY_ROUTE_FLOW_EVIDENCE,
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decision=CITY_ROUTE_FLOW_DECISION,
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basis=CITY_ROUTE_CONDITION_SUMMARY,
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pass_text=str(flow.get("pass") or "未命中风险，继续流转").strip(),
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fail_text=str(flow.get("fail") or f"命中{severity_label}，进入人工复核").strip(),
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)
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)
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def _resolve_severity(payload: dict[str, Any]) -> str:
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outcomes = payload.get("outcomes") if isinstance(payload.get("outcomes"), dict) else {}
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fail = outcomes.get("fail") if isinstance(outcomes.get("fail"), dict) else {}
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severity = str(fail.get("severity") or payload.get("severity") or "").strip().lower()
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return severity if severity in RISK_LEVEL_LABELS else "medium"
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def _read_string_list(value: Any) -> list[str]:
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if not isinstance(value, list):
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return []
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return [str(item or "").strip() for item in value if str(item or "").strip()]
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