d460ee0fe7
补齐规则资产 JSON 读写接口和前端调用，修复 AuditView 导入缺失。 Excel 在线编辑改为比对所有页签并生成最近修改记录，版本快照统一保存到 rules/finance-rules/.versions。 隔离规则表测试存储，避免测试或旧入口写入真实规则目录与 storage/agent_assets。
78 lines
3.4 KiB
Python
78 lines
3.4 KiB
Python
from __future__ import annotations
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from app.schemas.ontology import OntologyParseResult
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RISK_SIGNAL_TO_RULE_CODES: dict[str, list[str]] = {
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"location_mismatch": ["risk.travel.destination_receipt_location"],
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"base_location_overlap": ["risk.travel.base_location_overlap"],
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"intracity_travel": ["risk.travel.intracity_travel_claim"],
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"multi_city_itinerary": ["risk.travel.multi_city_reason_required"],
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"hotel_itinerary_mismatch": ["risk.travel.hotel_without_itinerary"],
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"duplicate_invoice": ["risk.invoice.duplicate_invoice"],
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"buyer_name_mismatch": ["risk.invoice.claimant_buyer_name_match"],
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"document_expense_mismatch": ["risk.invoice.document_expense_mismatch"],
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"cross_year_invoice": ["risk.invoice.cross_year_invoice"],
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"void_or_red_invoice": ["risk.invoice.void_or_red_invoice"],
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"vague_goods_description": ["risk.invoice.vague_goods_description"],
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"entertainment_missing_detail": ["risk.expense.entertainment_missing_detail"],
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"meal_as_travel": ["risk.expense.meal_localized_as_travel"],
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"consecutive_transport_receipts": ["risk.expense.consecutive_transport_receipts"],
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"reason_too_brief": ["risk.expense.reason_too_brief"],
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}
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TEXT_SIGNAL_KEYWORDS: dict[str, tuple[str, ...]] = {
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"location_mismatch": ("地点", "行程", "出差地", "票据地", "城市不一致"),
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"duplicate_invoice": ("重复", "同一张票", "重复报销", "发票重复"),
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"buyer_name_mismatch": ("购买方", "抬头", "开票单位"),
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"document_expense_mismatch": ("附件", "票据", "单据", "材料不一致"),
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"cross_year_invoice": ("跨年", "以前年度", "去年发票"),
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"void_or_red_invoice": ("作废", "红冲", "红字"),
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"vague_goods_description": ("商品名称", "品名", "笼统"),
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"entertainment_missing_detail": ("招待", "宴请", "陪同", "客户餐"),
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"meal_as_travel": ("餐费", "差旅餐", "本地餐"),
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"consecutive_transport_receipts": ("连续交通", "多张车票", "打车"),
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"reason_too_brief": ("事由", "说明太短", "理由不足"),
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}
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def list_all_platform_risk_rule_codes() -> list[str]:
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return sorted({code for codes in RISK_SIGNAL_TO_RULE_CODES.values() for code in codes})
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def resolve_rule_codes_from_ontology(ontology: OntologyParseResult) -> list[str]:
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resolved: list[str] = []
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for signal in ontology.risk_flags:
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for rule_code in RISK_SIGNAL_TO_RULE_CODES.get(str(signal or "").strip(), []):
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if rule_code not in resolved:
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resolved.append(rule_code)
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return resolved
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def infer_risk_signals_from_text(text: str) -> list[str]:
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normalized = str(text or "").strip().lower()
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if not normalized:
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return []
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signals: list[str] = []
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for signal, keywords in TEXT_SIGNAL_KEYWORDS.items():
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if any(keyword.lower() in normalized for keyword in keywords):
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signals.append(signal)
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return signals
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def resolve_rule_codes_for_risk_check(
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ontology: OntologyParseResult,
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*,
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query_text: str = "",
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) -> list[str]:
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if ontology.intent != "risk_check":
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return []
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resolved = resolve_rule_codes_from_ontology(ontology)
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for signal in infer_risk_signals_from_text(query_text):
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for rule_code in RISK_SIGNAL_TO_RULE_CODES.get(signal, []):
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if rule_code not in resolved:
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resolved.append(rule_code)
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return resolved or list_all_platform_risk_rule_codes()
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