7989f3a159
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。
80 lines
2.0 KiB
Python
80 lines
2.0 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import Any
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from pydantic import BaseModel, ConfigDict, Field
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class AgentToolCallRead(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: str
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run_id: str
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tool_type: str
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tool_name: str
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request_json: dict[str, Any]
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response_json: dict[str, Any]
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status: str
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duration_ms: int
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error_message: str | None
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created_at: datetime
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class SemanticParseRead(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: str
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run_id: str
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user_id: str | None
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raw_query: str
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scenario: str
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intent: str
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entities_json: list[Any]
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time_range_json: dict[str, Any]
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metrics_json: list[Any]
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constraints_json: list[Any]
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risk_flags_json: list[Any]
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permission_json: dict[str, Any]
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confidence: float
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created_at: datetime
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class AgentRunRead(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: str
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run_id: str
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agent: str
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source: str
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user_id: str | None
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task_id: str | None
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ontology_json: dict[str, Any]
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route_json: dict[str, Any]
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permission_level: str
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status: str
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result_summary: str | None
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error_message: str | None
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started_at: datetime
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finished_at: datetime | None
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tool_calls: list[AgentToolCallRead] = Field(default_factory=list)
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semantic_parse: SemanticParseRead | None = None
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class AgentRunStatsRead(BaseModel):
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window_limit: int
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total_runs: int
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succeeded_runs: int
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blocked_runs: int
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failed_runs: int
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tool_call_count: int
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failed_tool_call_count: int
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llm_call_count: int
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failed_llm_call_count: int
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model_fallback_count: int
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model_guardrail_count: int
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agents: dict[str, int] = Field(default_factory=dict)
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statuses: dict[str, int] = Field(default_factory=dict)
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tool_statuses: dict[str, int] = Field(default_factory=dict)
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recent_errors: list[dict[str, Any]] = Field(default_factory=list)
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