feat: 新增风险图谱算法与系统仪表盘及操作反馈体系
后端新增风险图谱算法模块、风险观察与反馈服务、规则 DSL 校验器和可解释性引擎，完善系统仪表盘和财务仪表盘统计， 优化 agent 运行和编排执行链路，清理旧开发文档，前端新增 系统趋势、负载热力图等多种仪表盘图表组件，完善操作反馈 对话框和工作台日期选择器，优化报销创建和审批详情交互， 补充单元测试覆盖。
This commit is contained in:
caoxiaozhu
173
server/src/app/services/risk_rule_execution_trace.py
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173
server/src/app/services/risk_rule_execution_trace.py
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from __future__ import annotations
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from typing import Any
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def build_risk_rule_execution_trace(
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manifest: dict[str, Any],
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*,
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result: dict[str, Any] | None,
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) -> dict[str, Any]:
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evidence = result.get("evidence") if isinstance(result, dict) else {}
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if not isinstance(evidence, dict):
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evidence = {}
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matched = isinstance(result, dict)
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severity = _risk_severity(manifest) if matched else "none"
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steps = _build_condition_steps(manifest, evidence)
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if not steps:
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steps = [_generic_step(manifest, evidence, matched)]
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path_node_ids = ["start", "evidence", *[step["node_id"] for step in steps]]
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path_node_ids.append("hit" if matched else "pass")
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return {
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"matched": matched,
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"risk_level": severity,
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"risk_score": _risk_score(manifest),
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"path_node_ids": _dedupe(path_node_ids),
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"steps": steps,
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}
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def _build_condition_steps(manifest: dict[str, Any], evidence: dict[str, Any]) -> list[dict[str, Any]]:
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steps: list[dict[str, Any]] = []
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condition_results = evidence.get("condition_results")
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condition_evidence = evidence.get("conditions")
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if isinstance(condition_results, dict):
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evidence_by_id = {
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str(item.get("id") or ""): item
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for item in condition_evidence
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if isinstance(item, dict)
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} if isinstance(condition_evidence, list) else {}
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for condition_id, passed in condition_results.items():
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item = evidence_by_id.get(str(condition_id), {})
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steps.append(
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{
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"node_id": str(condition_id),
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"title": _condition_title(manifest, str(condition_id)),
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"result": bool(passed),
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"operator": str(item.get("operator") or ""),
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"inputs": _compact_inputs(item),
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}
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)
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return steps
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city_consistency = evidence.get("city_consistency")
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if isinstance(city_consistency, dict):
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steps.append(
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{
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"node_id": "city_consistency",
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"title": "城市一致性判断",
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"result": bool(
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city_consistency.get("unexpected_route_cities")
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or not _has_overlap(
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city_consistency.get("attachment_values"),
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city_consistency.get("reference_values"),
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)
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),
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"operator": "route_city_consistency",
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"inputs": {
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"attachment_values": city_consistency.get("attachment_values") or [],
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"reference_values": city_consistency.get("reference_values") or [],
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"home_values": city_consistency.get("home_values") or [],
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"unexpected_route_cities": city_consistency.get("unexpected_route_cities") or [],
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"explanation_hits": city_consistency.get("explanation_hits") or [],
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},
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}
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)
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return steps
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failed_conditions = evidence.get("failed_conditions")
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if isinstance(failed_conditions, list):
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for index, item in enumerate(failed_conditions, start=1):
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if not isinstance(item, dict):
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continue
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steps.append(
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{
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"node_id": str(item.get("id") or f"condition_{index}"),
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"title": _condition_title(manifest, str(item.get("id") or f"condition_{index}")),
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"result": True,
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"operator": str(item.get("operator") or ""),
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"inputs": _compact_inputs(item),
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}
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)
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return steps
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def _generic_step(
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manifest: dict[str, Any],
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evidence: dict[str, Any],
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matched: bool,
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) -> dict[str, Any]:
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params = manifest.get("params") if isinstance(manifest.get("params"), dict) else {}
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return {
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"node_id": "decision",
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"title": "规则判断",
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"result": matched,
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"operator": str(params.get("template_key") or manifest.get("template_key") or ""),
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"inputs": {
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"condition_summary": evidence.get("condition_summary") or params.get("condition_summary") or "",
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"missing_fields": evidence.get("missing_fields") or [],
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"keyword_hits": evidence.get("keyword_hits") or [],
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},
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}
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def _condition_title(manifest: dict[str, Any], condition_id: str) -> str:
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params = manifest.get("params") if isinstance(manifest.get("params"), dict) else {}
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conditions = params.get("conditions") if isinstance(params.get("conditions"), list) else []
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for index, condition in enumerate(conditions, start=1):
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if not isinstance(condition, dict):
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continue
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current_id = str(condition.get("id") or f"condition_{index}")
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if current_id == condition_id:
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return str(condition.get("title") or condition.get("operator") or condition_id)
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return condition_id
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def _compact_inputs(item: dict[str, Any]) -> dict[str, Any]:
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keys = (
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"fields",
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"left_fields",
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"right_fields",
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"left_values",
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"right_values",
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"values",
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"missing_fields",
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"keyword_hits",
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"dates",
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"range_start",
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"range_end",
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"outside_dates",
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)
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return {key: item.get(key) for key in keys if item.get(key) not in (None, "", [])}
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def _risk_severity(manifest: dict[str, Any]) -> str:
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outcomes = manifest.get("outcomes") if isinstance(manifest.get("outcomes"), dict) else {}
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fail = outcomes.get("fail") if isinstance(outcomes.get("fail"), dict) else {}
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return str(fail.get("severity") or "medium")
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def _risk_score(manifest: dict[str, Any]) -> int | None:
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metadata = manifest.get("metadata") if isinstance(manifest.get("metadata"), dict) else {}
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outcomes = manifest.get("outcomes") if isinstance(manifest.get("outcomes"), dict) else {}
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fail = outcomes.get("fail") if isinstance(outcomes.get("fail"), dict) else {}
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for value in (fail.get("risk_score"), metadata.get("risk_score")):
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try:
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return int(value)
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except (TypeError, ValueError):
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continue
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return None
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def _has_overlap(left: Any, right: Any) -> bool:
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left_set = {str(item).strip().lower() for item in left or [] if str(item).strip()}
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right_set = {str(item).strip().lower() for item in right or [] if str(item).strip()}
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return bool(left_set & right_set)
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def _dedupe(values: list[str]) -> list[str]:
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rows: list[str] = []
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for value in values:
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if value and value not in rows:
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rows.append(value)
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return rows
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