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。
This commit is contained in:
@@ -1,9 +1,16 @@
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from __future__ import annotations
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import re
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from datetime import date, datetime, timedelta
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from typing import Any
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from app.models.financial_record import ExpenseClaim
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from app.services.risk_rule_generation_interpreter import COMPOSITE_RULE_TEMPLATE_KEY
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CITY_CONSISTENCY_SEMANTIC_TYPES = {
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"travel_city_consistency",
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"travel_route_city_consistency",
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}
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class RiskRuleTemplateExecutor:
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@@ -20,9 +27,17 @@ class RiskRuleTemplateExecutor:
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if template_key == "field_required_v1":
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return self._evaluate_required_fields(params, claim=claim, contexts=contexts)
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if template_key == "field_compare_v1":
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if str(params.get("semantic_type") or "").strip() in CITY_CONSISTENCY_SEMANTIC_TYPES:
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return self._evaluate_city_consistency_rule(
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params,
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claim=claim,
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contexts=contexts,
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)
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return self._evaluate_compare_conditions(params, claim=claim, contexts=contexts)
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if template_key == "keyword_match_v1":
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return self._evaluate_keyword_match(params, claim=claim, contexts=contexts)
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if template_key == COMPOSITE_RULE_TEMPLATE_KEY:
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return self._evaluate_composite_rule(params, claim=claim, contexts=contexts)
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return None
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def _evaluate_required_fields(
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@@ -105,6 +120,13 @@ class RiskRuleTemplateExecutor:
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claim: ExpenseClaim,
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contexts: list[dict[str, Any]],
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) -> dict[str, Any] | None:
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if self._looks_like_city_consistency_rule(params):
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return self._evaluate_city_consistency_rule(
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params,
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claim=claim,
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contexts=contexts,
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)
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keywords = self._read_string_list(params.get("keywords"))
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search_fields = self._read_string_list(
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params.get("search_fields") or params.get("field_keys")
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@@ -140,6 +162,331 @@ class RiskRuleTemplateExecutor:
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},
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}
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def _evaluate_city_consistency_rule(
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self,
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params: dict[str, Any],
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*,
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claim: ExpenseClaim,
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contexts: list[dict[str, Any]],
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) -> dict[str, Any] | None:
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field_keys = self._read_string_list(params.get("search_fields") or params.get("field_keys"))
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reference_keys = self._read_string_list(params.get("reference_city_fields")) or [
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key for key in field_keys if key in {"claim.location", "item.item_location"}
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] or ["claim.location", "item.item_location"]
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attachment_keys = self._read_string_list(params.get("attachment_city_fields")) or [
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key
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for key in field_keys
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if key in {"attachment.route_cities", "attachment.hotel_city"}
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] or ["attachment.route_cities", "attachment.hotel_city"]
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home_keys = self._read_string_list(params.get("home_city_fields")) or ["employee.location"]
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reference_values: list[str] = []
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attachment_values: list[str] = []
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home_values: list[str] = []
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route_values: list[str] = []
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for key in reference_keys:
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reference_values.extend(self._resolve_values(key, claim=claim, contexts=contexts))
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for key in attachment_keys:
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resolved = self._resolve_values(key, claim=claim, contexts=contexts)
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attachment_values.extend(resolved)
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if key == "attachment.route_cities":
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route_values.extend(resolved)
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for key in home_keys:
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home_values.extend(self._resolve_values(key, claim=claim, contexts=contexts))
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reference_values = self._dedupe_values(reference_values)
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attachment_values = self._dedupe_values(attachment_values)
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home_values = self._dedupe_values(home_values)
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route_values = self._dedupe_values(route_values)
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if not reference_values or not attachment_values:
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return None
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explanation_keywords = self._read_string_list(
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params.get("exception_keywords") or params.get("keywords")
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)
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exception_fields = self._read_string_list(params.get("exception_fields")) or [
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"claim.reason",
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"item.item_reason",
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]
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explanation_corpus = "\n".join(
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value
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for key in exception_fields
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for value in self._resolve_values(key, claim=claim, contexts=contexts)
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)
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keyword_hits = [
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keyword
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for keyword in explanation_keywords
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if keyword and keyword in explanation_corpus
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]
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unexpected_route_cities = self._resolve_unexpected_route_cities(
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route_values,
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reference_values=reference_values,
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home_values=home_values,
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)
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has_destination_overlap = self._condition_passes(
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"overlap",
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attachment_values,
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reference_values,
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)
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if not unexpected_route_cities and (has_destination_overlap or keyword_hits):
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return None
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reason = (
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"票据路线包含申报行程和常驻地之外的中转城市。"
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if unexpected_route_cities
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else "票据城市与申报目的地或明细地点不一致,且未说明绕行、跨城或改签原因。"
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)
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return {
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"message": self._resolve_message(
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params,
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fallback=reason,
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),
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"evidence": {
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"failed_conditions": [
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{
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"left": "attachment.city",
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"operator": "overlap",
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"right": "claim.location",
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"left_values": attachment_values[:5],
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"right_values": reference_values[:5],
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}
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],
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"condition_summary": params.get("condition_summary"),
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"formula": params.get("formula"),
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"city_consistency": {
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"attachment_values": attachment_values[:8],
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"reference_values": reference_values[:8],
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"home_values": home_values[:8],
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"route_values": route_values[:8],
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"unexpected_route_cities": unexpected_route_cities[:8],
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"explanation_keywords": explanation_keywords[:8],
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"explanation_hits": keyword_hits[:8],
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},
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},
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}
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def _evaluate_composite_rule(
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self,
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params: dict[str, Any],
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*,
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claim: ExpenseClaim,
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contexts: list[dict[str, Any]],
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) -> dict[str, Any] | None:
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conditions = params.get("conditions") if isinstance(params.get("conditions"), list) else []
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condition_evidence: list[dict[str, Any]] = []
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condition_results: dict[str, bool] = {}
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for index, condition in enumerate(conditions):
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if not isinstance(condition, dict):
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continue
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condition_id = str(condition.get("id") or f"condition_{index + 1}").strip()
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passed, evidence = self._evaluate_composite_condition(
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condition,
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claim=claim,
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contexts=contexts,
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)
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condition_results[condition_id] = passed
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condition_evidence.append({"id": condition_id, **evidence, "passed": passed})
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hit_logic = params.get("hit_logic")
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hit = (
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self._evaluate_logic_node(hit_logic, condition_results)
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if isinstance(hit_logic, (dict, list, str))
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else bool(condition_results) and all(condition_results.values())
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)
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if not hit:
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return None
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return {
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"message": self._resolve_message(
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params,
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fallback=str(params.get("condition_summary") or "复合规则条件命中,进入人工复核。"),
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),
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"evidence": {
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"condition_summary": params.get("condition_summary"),
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"formula": params.get("formula"),
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"semantic_type": params.get("semantic_type"),
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"conditions": condition_evidence,
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"condition_results": condition_results,
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"hit_logic": hit_logic,
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"rule_ir": params.get("rule_ir") if isinstance(params.get("rule_ir"), dict) else {},
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},
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}
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def _evaluate_composite_condition(
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self,
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condition: dict[str, Any],
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*,
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claim: ExpenseClaim,
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contexts: list[dict[str, Any]],
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) -> tuple[bool, dict[str, Any]]:
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operator = str(condition.get("operator") or "").strip()
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fields = self._read_string_list(condition.get("fields"))
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left_fields = self._read_string_list(condition.get("left_fields"))
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right_fields = self._read_string_list(condition.get("right_fields"))
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if operator == "exists_any":
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values = self._resolve_group_values(fields, claim=claim, contexts=contexts)
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return bool(values), {"operator": operator, "fields": fields, "values": values[:8]}
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if operator in {"exists_all", "all_present"}:
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missing = [
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key for key in fields if not self._resolve_values(key, claim=claim, contexts=contexts)
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]
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return not missing, {"operator": operator, "fields": fields, "missing_fields": missing}
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if operator in {"not_in_scope", "not_in_set", "not_overlap"}:
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left_values = self._resolve_group_values(left_fields, claim=claim, contexts=contexts)
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right_values = self._resolve_group_values(right_fields, claim=claim, contexts=contexts)
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matched = self._values_overlap(left_values, right_values)
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return bool(left_values and right_values and not matched), {
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"operator": operator,
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"left_fields": left_fields,
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"right_fields": right_fields,
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"left_values": left_values[:8],
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"right_values": right_values[:8],
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}
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if operator in {"in_scope", "overlap"}:
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left_values = self._resolve_group_values(left_fields, claim=claim, contexts=contexts)
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right_values = self._resolve_group_values(right_fields, claim=claim, contexts=contexts)
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return self._values_overlap(left_values, right_values), {
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"operator": operator,
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"left_fields": left_fields,
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"right_fields": right_fields,
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"left_values": left_values[:8],
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"right_values": right_values[:8],
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}
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if operator == "date_outside_range":
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return self._evaluate_date_outside_range(condition, claim=claim, contexts=contexts)
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if operator in {"not_contains_any", "contains_any"}:
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keywords = self._read_string_list(condition.get("keywords"))
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values = self._resolve_group_values(fields, claim=claim, contexts=contexts)
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corpus = "\n".join(values)
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hits = [keyword for keyword in keywords if keyword and keyword in corpus]
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passed = not hits if operator == "not_contains_any" else bool(hits)
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return passed, {
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"operator": operator,
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"fields": fields,
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"keyword_hits": hits[:8],
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"values": values[:8],
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}
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left = str(condition.get("left") or "").strip()
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right = str(condition.get("right") or "").strip()
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if left:
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left_values = self._resolve_values(left, claim=claim, contexts=contexts)
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right_values = self._resolve_values(right, claim=claim, contexts=contexts) if right else []
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passed = self._condition_passes(operator or "overlap", left_values, right_values)
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return passed, {
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"operator": operator or "overlap",
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"left": left,
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"right": right,
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"left_values": left_values[:8],
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"right_values": right_values[:8],
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}
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return False, {"operator": operator or "unknown"}
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def _evaluate_date_outside_range(
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self,
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condition: dict[str, Any],
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*,
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claim: ExpenseClaim,
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contexts: list[dict[str, Any]],
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) -> tuple[bool, dict[str, Any]]:
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date_fields = self._read_string_list(condition.get("date_fields"))
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start_fields = self._read_string_list(condition.get("range_start_fields"))
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end_fields = self._read_string_list(condition.get("range_end_fields"))
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tolerance_days = int(condition.get("tolerance_days") or 0)
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dates = self._resolve_group_dates(date_fields, claim=claim, contexts=contexts)
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starts = self._resolve_group_dates(start_fields, claim=claim, contexts=contexts)
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ends = self._resolve_group_dates(end_fields, claim=claim, contexts=contexts)
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if not dates or not (starts or ends):
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return False, {
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"operator": "date_outside_range",
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"date_fields": date_fields,
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"range_start_fields": start_fields,
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"range_end_fields": end_fields,
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"dates": [item.isoformat() for item in dates],
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"range_start": None,
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"range_end": None,
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}
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start = min(starts or ends) - timedelta(days=tolerance_days)
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end = max(ends or starts) + timedelta(days=tolerance_days)
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outside = [item for item in dates if item < start or item > end]
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return bool(outside), {
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"operator": "date_outside_range",
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"date_fields": date_fields,
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"range_start_fields": start_fields,
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"range_end_fields": end_fields,
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"dates": [item.isoformat() for item in dates],
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"range_start": start.isoformat(),
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"range_end": end.isoformat(),
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"outside_dates": [item.isoformat() for item in outside],
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}
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def _resolve_group_values(
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self,
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field_keys: list[str],
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*,
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claim: ExpenseClaim,
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contexts: list[dict[str, Any]],
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) -> list[str]:
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values: list[str] = []
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for key in field_keys:
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values.extend(self._resolve_values(key, claim=claim, contexts=contexts))
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return self._dedupe_values(values)
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def _resolve_group_dates(
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self,
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field_keys: list[str],
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*,
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claim: ExpenseClaim,
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contexts: list[dict[str, Any]],
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) -> list[date]:
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values: list[date] = []
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for key in field_keys:
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for value in self._resolve_values(key, claim=claim, contexts=contexts):
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parsed = self._parse_date_value(value)
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if parsed and parsed not in values:
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values.append(parsed)
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return values
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@staticmethod
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def _evaluate_logic_node(node: Any, condition_results: dict[str, bool]) -> bool:
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if isinstance(node, str):
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return bool(condition_results.get(node))
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if isinstance(node, list):
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return all(RiskRuleTemplateExecutor._evaluate_logic_node(item, condition_results) for item in node)
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if not isinstance(node, dict):
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return bool(node)
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if "all" in node:
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values = node.get("all") if isinstance(node.get("all"), list) else []
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return all(RiskRuleTemplateExecutor._evaluate_logic_node(item, condition_results) for item in values)
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if "any" in node:
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values = node.get("any") if isinstance(node.get("any"), list) else []
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return any(RiskRuleTemplateExecutor._evaluate_logic_node(item, condition_results) for item in values)
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if "not" in node:
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return not RiskRuleTemplateExecutor._evaluate_logic_node(node.get("not"), condition_results)
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return False
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@staticmethod
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def _looks_like_city_consistency_rule(params: dict[str, Any]) -> bool:
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field_keys = RiskRuleTemplateExecutor._read_string_list(
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params.get("search_fields") or params.get("field_keys")
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)
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if str(params.get("semantic_type") or "").strip() in CITY_CONSISTENCY_SEMANTIC_TYPES:
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return True
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has_reference = any(key in {"claim.location", "item.item_location"} for key in field_keys)
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has_attachment_city = any(
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key in {"attachment.route_cities", "attachment.hotel_city"} for key in field_keys
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)
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if not (has_reference and has_attachment_city):
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return False
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text = "\n".join(
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str(params.get(key) or "")
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for key in ("natural_language", "condition_summary", "message_template")
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)
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consistency_terms = ("一致", "不一致", "匹配", "不符", "对应", "出现在")
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city_terms = ("城市", "地点", "目的地", "行程", "票据", "发票")
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return any(term in text for term in consistency_terms) and any(
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term in text for term in city_terms
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)
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def _resolve_values(
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self,
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field_key: str,
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@@ -150,6 +497,12 @@ class RiskRuleTemplateExecutor:
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normalized = str(field_key or "").strip()
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if not normalized:
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return []
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if normalized == "claim.trip_start_date":
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explicit = getattr(claim, "trip_start_date", None)
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return self._normalize_values([explicit or self._claim_trip_date(claim, start=True)])
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if normalized == "claim.trip_end_date":
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explicit = getattr(claim, "trip_end_date", None)
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return self._normalize_values([explicit or self._claim_trip_date(claim, start=False)])
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if normalized.startswith("claim."):
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return self._normalize_values([getattr(claim, normalized.removeprefix("claim."), "")])
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if normalized.startswith("item."):
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@@ -157,10 +510,39 @@ class RiskRuleTemplateExecutor:
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return self._normalize_values(
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[getattr(item, attr, "") for item in list(claim.items or [])]
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)
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if normalized.startswith("employee."):
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employee = getattr(claim, "employee", None)
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if employee is None:
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return []
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return self._normalize_values(
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[getattr(employee, normalized.removeprefix("employee."), "")]
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)
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if normalized.startswith("attachment."):
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return self._resolve_attachment_values(normalized.removeprefix("attachment."), contexts)
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return []
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@staticmethod
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def _resolve_unexpected_route_cities(
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route_values: list[str],
|
||||
*,
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||||
reference_values: list[str],
|
||||
home_values: list[str],
|
||||
) -> list[str]:
|
||||
if len(route_values) < 2:
|
||||
return []
|
||||
allowed = {value.lower() for value in [*reference_values, *home_values] if value}
|
||||
if not allowed:
|
||||
return []
|
||||
candidates = route_values if home_values else route_values[1:-1]
|
||||
unexpected: list[str] = []
|
||||
for city in candidates:
|
||||
normalized = city.lower()
|
||||
if normalized in allowed:
|
||||
continue
|
||||
if city not in unexpected:
|
||||
unexpected.append(city)
|
||||
return unexpected
|
||||
|
||||
def _resolve_attachment_values(
|
||||
self, field_key: str, contexts: list[dict[str, Any]]
|
||||
) -> list[str]:
|
||||
@@ -171,13 +553,15 @@ class RiskRuleTemplateExecutor:
|
||||
document_info = {}
|
||||
if field_key == "ocr_text":
|
||||
values.extend([context.get("ocr_text"), context.get("ocr_summary")])
|
||||
if field_key in {"hotel_city", "route_cities"}:
|
||||
if field_key == "hotel_city":
|
||||
specific_values = self._scan_document_values(document_info, field_key)
|
||||
values.extend(
|
||||
specific_values
|
||||
if specific_values
|
||||
else self._scan_document_values(document_info, "city")
|
||||
)
|
||||
elif field_key == "route_cities":
|
||||
values.extend(self._scan_document_values(document_info, field_key))
|
||||
else:
|
||||
values.extend(self._scan_document_values(document_info, field_key))
|
||||
return self._normalize_values(values)
|
||||
@@ -207,6 +591,8 @@ class RiskRuleTemplateExecutor:
|
||||
"buyer_name": ("购买方", "抬头", "买方"),
|
||||
"goods_name": ("品名", "商品", "服务名称"),
|
||||
"issue_date": ("日期", "开票日期", "发票日期"),
|
||||
"stay_start_date": ("入住日期", "住宿开始", "入住时间", "开始日期"),
|
||||
"stay_end_date": ("离店日期", "退房日期", "住宿结束", "结束日期"),
|
||||
"hotel_city": ("住宿城市", "酒店城市", "酒店地点", "住宿", "酒店"),
|
||||
"route_cities": ("行程", "路线", "目的地", "出差城市"),
|
||||
"city": ("城市", "地点"),
|
||||
@@ -222,6 +608,17 @@ class RiskRuleTemplateExecutor:
|
||||
) -> bool:
|
||||
return bool(self._resolve_values(field_key, claim=claim, contexts=contexts))
|
||||
|
||||
@staticmethod
|
||||
def _claim_trip_date(claim: ExpenseClaim, *, start: bool) -> date | datetime | None:
|
||||
item_dates = [
|
||||
item.item_date
|
||||
for item in list(claim.items or [])
|
||||
if getattr(item, "item_date", None) is not None
|
||||
]
|
||||
if item_dates:
|
||||
return min(item_dates) if start else max(item_dates)
|
||||
return getattr(claim, "occurred_at", None)
|
||||
|
||||
@staticmethod
|
||||
def _condition_passes(operator: str, left_values: list[str], right_values: list[str]) -> bool:
|
||||
if operator == "is_empty":
|
||||
@@ -239,6 +636,43 @@ class RiskRuleTemplateExecutor:
|
||||
return any(any(right in left for right in right_set) for left in left_set)
|
||||
return bool(left_set & right_set)
|
||||
|
||||
@staticmethod
|
||||
def _values_overlap(left_values: list[str], right_values: list[str]) -> bool:
|
||||
left_set = [RiskRuleTemplateExecutor._normalize_match_value(value) for value in left_values]
|
||||
right_set = [RiskRuleTemplateExecutor._normalize_match_value(value) for value in right_values]
|
||||
for left in left_set:
|
||||
for right in right_set:
|
||||
if left and right and (left == right or left in right or right in left):
|
||||
return True
|
||||
return False
|
||||
|
||||
@staticmethod
|
||||
def _normalize_match_value(value: str) -> str:
|
||||
return re.sub(r"[省市区县\s]+$", "", str(value or "").strip().lower())
|
||||
|
||||
@staticmethod
|
||||
def _parse_date_value(value: Any) -> date | None:
|
||||
if isinstance(value, datetime):
|
||||
return value.date()
|
||||
if isinstance(value, date):
|
||||
return value
|
||||
text = str(value or "").strip()
|
||||
if not text:
|
||||
return None
|
||||
iso_match = re.search(r"(\d{4})[-/.](\d{1,2})[-/.](\d{1,2})", text)
|
||||
cn_match = re.search(r"(\d{4})年(\d{1,2})月(\d{1,2})日", text)
|
||||
match = iso_match or cn_match
|
||||
if match:
|
||||
year, month, day = (int(part) for part in match.groups())
|
||||
try:
|
||||
return date(year, month, day)
|
||||
except ValueError:
|
||||
return None
|
||||
try:
|
||||
return date.fromisoformat(text[:10])
|
||||
except ValueError:
|
||||
return None
|
||||
|
||||
@staticmethod
|
||||
def _normalize_values(values: list[Any]) -> list[str]:
|
||||
normalized: list[str] = []
|
||||
@@ -251,6 +685,15 @@ class RiskRuleTemplateExecutor:
|
||||
normalized.append(text)
|
||||
return normalized
|
||||
|
||||
@staticmethod
|
||||
def _dedupe_values(values: list[str]) -> list[str]:
|
||||
deduped: list[str] = []
|
||||
for value in values:
|
||||
text = str(value or "").strip()
|
||||
if text and text not in deduped:
|
||||
deduped.append(text)
|
||||
return deduped
|
||||
|
||||
@staticmethod
|
||||
def _read_string_list(value: Any) -> list[str]:
|
||||
if not isinstance(value, list):
|
||||
|
||||
Reference in New Issue
Block a user