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。
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caoxiaozhu
170
server/src/app/models/risk_observation.py
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170
server/src/app/models/risk_observation.py
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from __future__ import annotations
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import uuid
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from datetime import datetime
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from typing import Any
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from sqlalchemy import DateTime, Float, ForeignKey, Index, Integer, String, Text, func
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from sqlalchemy.types import JSON
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from app.db.base_class import Base
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class RiskObservation(Base):
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__tablename__ = "risk_observations"
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__table_args__ = (
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Index("ix_risk_observations_subject", "subject_type", "subject_key"),
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Index("ix_risk_observations_signal_level", "risk_signal", "risk_level"),
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Index("ix_risk_observations_status_created", "status", "created_at"),
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)
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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observation_key: Mapped[str] = mapped_column(String(160), unique=True, index=True)
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subject_type: Mapped[str] = mapped_column(String(50), index=True)
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subject_key: Mapped[str] = mapped_column(String(160), index=True)
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subject_label: Mapped[str] = mapped_column(String(160), default="")
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claim_id: Mapped[str | None] = mapped_column(
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ForeignKey("expense_claims.id"),
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nullable=True,
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index=True,
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)
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claim_no: Mapped[str] = mapped_column(String(80), default="", index=True)
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run_id: Mapped[str | None] = mapped_column(String(80), nullable=True, index=True)
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execution_log_id: Mapped[str | None] = mapped_column(String(36), nullable=True, index=True)
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risk_type: Mapped[str] = mapped_column(String(80), index=True)
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risk_signal: Mapped[str] = mapped_column(String(100), index=True)
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title: Mapped[str] = mapped_column(String(200), default="")
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description: Mapped[str] = mapped_column(Text(), default="")
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risk_score: Mapped[int] = mapped_column(Integer, default=0, index=True)
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risk_level: Mapped[str] = mapped_column(String(20), index=True)
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confidence_score: Mapped[float] = mapped_column(Float, default=0.0)
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control_stage: Mapped[str] = mapped_column(String(50), default="")
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control_mode: Mapped[str] = mapped_column(String(50), default="")
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automation_mode: Mapped[str] = mapped_column(String(50), default="")
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source: Mapped[str] = mapped_column(String(60), default="", index=True)
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algorithm_version: Mapped[str] = mapped_column(String(80), default="", index=True)
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status: Mapped[str] = mapped_column(String(30), default="pending_review", index=True)
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feedback_status: Mapped[str] = mapped_column(String(30), default="unreviewed", index=True)
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contribution_scores_json: Mapped[dict[str, Any]] = mapped_column(JSON, default=dict)
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baseline_json: Mapped[dict[str, Any]] = mapped_column(JSON, default=dict)
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evidence_json: Mapped[list[Any]] = mapped_column(JSON, default=list)
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graph_node_keys_json: Mapped[list[Any]] = mapped_column(JSON, default=list)
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graph_edge_keys_json: Mapped[list[Any]] = mapped_column(JSON, default=list)
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policy_refs_json: Mapped[list[Any]] = mapped_column(JSON, default=list)
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similar_case_claim_ids_json: Mapped[list[Any]] = mapped_column(JSON, default=list)
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ontology_json: Mapped[dict[str, Any]] = mapped_column(JSON, default=dict)
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decision_trace_json: Mapped[dict[str, Any]] = mapped_column(JSON, default=dict)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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server_default=func.now(),
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onupdate=func.now(),
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)
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claim = relationship("ExpenseClaim", foreign_keys=[claim_id])
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feedback_items = relationship(
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"RiskObservationFeedback",
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back_populates="observation",
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cascade="all, delete-orphan",
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order_by="desc(RiskObservationFeedback.created_at)",
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)
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@property
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def sampling_strategy(self) -> dict[str, Any]:
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value = (self.decision_trace_json or {}).get("sampling_strategy")
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return dict(value) if isinstance(value, dict) else {}
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@property
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def evaluation_case_id(self) -> str:
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return _json_text((self.decision_trace_json or {}).get("evaluation_case_id"))
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@property
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def ontology_parse_id(self) -> str:
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return _json_text((self.ontology_json or {}).get("ontology_parse_id"))
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@property
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def ontology_version(self) -> str:
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return _json_text((self.ontology_json or {}).get("ontology_version"))
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@property
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def domain(self) -> str:
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return _json_text((self.ontology_json or {}).get("domain"))
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@property
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def scenario(self) -> str:
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return _json_text((self.ontology_json or {}).get("scenario"))
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@property
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def intent(self) -> str:
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return _json_text((self.ontology_json or {}).get("intent"))
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@property
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def ontology_entities_json(self) -> list[Any]:
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value = (self.ontology_json or {}).get("ontology_entities_json")
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if value is None:
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value = (self.ontology_json or {}).get("entities")
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return list(value) if isinstance(value, list) else []
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@property
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def risk_signals_json(self) -> list[Any]:
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value = (self.ontology_json or {}).get("risk_signals_json")
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if value is None:
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value = (self.ontology_json or {}).get("risk_signals")
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return list(value) if isinstance(value, list) else []
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@property
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def canonical_subject_key(self) -> str:
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return _json_text((self.ontology_json or {}).get("canonical_subject_key"))
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class RiskObservationFeedback(Base):
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__tablename__ = "risk_observation_feedback"
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__table_args__ = (
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Index("ix_risk_observation_feedback_type_created", "feedback_type", "created_at"),
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)
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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observation_id: Mapped[str] = mapped_column(
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ForeignKey("risk_observations.id"),
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index=True,
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)
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feedback_type: Mapped[str] = mapped_column(String(30), index=True)
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action: Mapped[str] = mapped_column(String(50), default="")
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actor: Mapped[str] = mapped_column(String(100), default="")
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comment: Mapped[str | None] = mapped_column(Text(), nullable=True)
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payload_json: Mapped[dict[str, Any]] = mapped_column(JSON, default=dict)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
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observation = relationship("RiskObservation", back_populates="feedback_items")
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@property
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def decision(self) -> str:
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return _json_text((self.payload_json or {}).get("decision")) or self.feedback_type
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@property
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def candidate_rule_source(self) -> str:
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return _json_text((self.payload_json or {}).get("candidate_rule_source"))
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@property
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def confidence_score(self) -> float:
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try:
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return float((self.payload_json or {}).get("confidence_score") or 0)
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except (TypeError, ValueError):
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return 0.0
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@property
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def escalation_target(self) -> str:
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return _json_text((self.payload_json or {}).get("escalation_target"))
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@property
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def supplement_required(self) -> bool:
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return bool((self.payload_json or {}).get("supplement_required"))
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def _json_text(value: Any) -> str:
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return str(value or "").strip()
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