0e861d8fa6
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。
120 lines
5.0 KiB
Python
120 lines
5.0 KiB
Python
from __future__ import annotations
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from typing import Any
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TRAVEL_ROUTE_CITY_SEMANTIC_TYPE = "travel_route_city_consistency"
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LEGACY_CITY_CONSISTENCY_SEMANTIC_TYPE = "travel_city_consistency"
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CITY_CONSISTENCY_SEMANTIC_TYPES = {
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TRAVEL_ROUTE_CITY_SEMANTIC_TYPE,
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LEGACY_CITY_CONSISTENCY_SEMANTIC_TYPE,
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}
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CITY_CONSISTENCY_SEMANTIC_TYPE = TRAVEL_ROUTE_CITY_SEMANTIC_TYPE
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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_ATTACHMENT_FIELDS = ("attachment.route_cities", "attachment.hotel_city")
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CITY_REFERENCE_FIELDS = ("claim.location", "item.item_location")
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CITY_HOME_FIELDS = ("employee.location",)
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CITY_EXCEPTION_FIELDS = ("claim.reason", "item.item_reason")
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CITY_EXCEPTION_KEYWORDS = ("绕行", "跨城办事", "跨城", "临时改签", "改签", "变更")
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def is_city_consistency_rule(text: str) -> bool:
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normalized = str(text or "")
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has_city_subject = any(
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term in normalized
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for term in ("交通票", "住宿票", "住宿发票", "票据", "附件", "行程城市", "住宿城市")
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)
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has_reference = any(
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term in normalized
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for term in ("申报目的地", "申报地点", "明细地点", "发生地点", "意图城市", "目的地")
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)
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has_relation = any(
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term in normalized
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for term in ("一致", "不一致", "形成一致关系", "匹配", "无法与", "对应")
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)
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has_route_anomaly = any(term in normalized for term in ("绕行", "跨城", "中转", "周转", "改签"))
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return has_city_subject and has_reference and (has_relation or has_route_anomaly)
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def build_city_consistency_draft(
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draft: dict[str, Any],
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*,
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natural_language: str,
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fields: list[Any],
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risk_level: str,
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) -> dict[str, Any]:
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del natural_language
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field_by_key = {field.key: field for field in fields}
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field_keys = [
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key
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for key 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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if key in field_by_key
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]
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risk_label = RISK_LEVEL_LABELS.get(risk_level, "风险")
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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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flow = draft.get("flow") if isinstance(draft.get("flow"), dict) else {}
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return {
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**draft,
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"template_key": "field_compare_v1",
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"field_keys": field_keys,
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"semantic_type": TRAVEL_ROUTE_CITY_SEMANTIC_TYPE,
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"condition_summary": condition_summary,
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"keywords": [],
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"exception_keywords": list(CITY_EXCEPTION_KEYWORDS),
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"flow": {
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**flow,
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"start": "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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"evidence": "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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"decision": "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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"pass": "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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"fail": f"票据路线存在目的地不一致或额外中转城市，命中{risk_label}并要求补充说明或退回修改",
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},
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}
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def build_city_consistency_params(draft: dict[str, Any]) -> dict[str, Any]:
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exception_keywords = list(draft.get("exception_keywords") or CITY_EXCEPTION_KEYWORDS)
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return {
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"semantic_type": TRAVEL_ROUTE_CITY_SEMANTIC_TYPE,
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"attachment_city_fields": list(CITY_ATTACHMENT_FIELDS),
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"reference_city_fields": list(CITY_REFERENCE_FIELDS),
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"home_city_fields": list(CITY_HOME_FIELDS),
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"exception_fields": list(CITY_EXCEPTION_FIELDS),
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"exception_keywords": exception_keywords,
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"keywords": [],
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"route_anomaly_policy": "flag_unexpected_intermediate_cities",
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"exception_handling": "exception_text_is_evidence_not_auto_pass_for_route_anomaly",
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"formula": (
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"A=UNION(attachment.route_cities, attachment.hotel_city); "
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"B=UNION(claim.location, item.item_location); "
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"C=UNION(employee.location); "
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"HIT WHEN (A∩B=∅ AND NOT CONTAINS_ANY(exception_fields, exception_keywords)) "
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"OR EXISTS(city IN A WHERE city NOT IN B∪C)"
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),
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"conditions": [
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{
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"left_group": list(CITY_ATTACHMENT_FIELDS),
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"operator": "route_city_consistency",
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"right_group": list(CITY_REFERENCE_FIELDS),
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"home_group": list(CITY_HOME_FIELDS),
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"exception_fields": list(CITY_EXCEPTION_FIELDS),
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"exception_keywords": exception_keywords,
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}
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],
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}
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