wren
86 lines
3.9 KiB
Python
86 lines
3.9 KiB
Python
"""评查详情聚合 VO。"""
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from __future__ import annotations
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from typing import Any
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from pydantic import BaseModel, Field
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class ReviewPointResultVO(BaseModel):
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"""前端评查详情页所需的单条评查点结果。"""
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id: str | int = Field(..., description="评查结果ID")
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documentId: str = Field(..., description="文档ID")
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pointId: str | int = Field(..., description="评查点/规则ID")
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editAuditStatusId: str | int = Field("", description="人工审核状态ID")
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editAuditStatus: int = Field(0, description="人工审核状态")
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editAuditStatusMessage: str = Field("", description="人工审核意见")
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title: str = Field("", description="标题")
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pointName: str = Field("", description="评查点名称")
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pointCode: str = Field("", description="评查点编码")
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groupName: str = Field("", description="所属分组名")
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status: str = Field("success", description="success/warning/error/notApplicable")
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content: dict[str, Any] = Field(default_factory=dict, description="抽取字段内容")
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contentPage: dict[str, str] = Field(default_factory=dict, description="字段页码映射")
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suggestion: str = Field("", description="建议内容")
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postAction: str = Field("", description="后续动作")
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actionContent: Any = Field(default_factory=dict, description="动作配置")
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legalBasis: Any = Field(default_factory=dict, description="法律依据")
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evaluationConfig: Any = Field(default_factory=dict, description="评查配置")
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score: float = Field(0, description="分值")
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finalScore: float | None = Field(None, description="最终得分")
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machineScore: float | None = Field(None, description="机器得分")
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result: bool | None = Field(None, description="是否通过")
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failMessage: str = Field("", description="失败提示")
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passMessage: str = Field("", description="通过提示")
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evaluatedPointResultsLog: dict[str, Any] = Field(default_factory=dict, description="规则执行日志")
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class ReviewPointStatsVO(BaseModel):
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"""统计信息。"""
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total: int = Field(0, description="总数")
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success: int = Field(0, description="通过数")
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warning: int = Field(0, description="警告数")
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error: int = Field(0, description="错误数")
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score: float = Field(0, description="总分")
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class ReviewPointInfoVO(BaseModel):
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"""评查摘要信息。"""
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reviewTime: str = Field("", description="评查时间")
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reviewModel: str = Field("DeepSeek", description="评查模型")
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ruleGroup: str = Field("", description="规则组")
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result: str = Field("success", description="总体结果")
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issueCount: int = Field(0, description="问题数")
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class ReviewPointsAggregateVO(BaseModel):
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"""评查详情聚合响应。"""
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data: list[ReviewPointResultVO] = Field(default_factory=list, description="评查点结果")
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stats: ReviewPointStatsVO = Field(default_factory=ReviewPointStatsVO, description="统计信息")
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reviewInfo: ReviewPointInfoVO = Field(default_factory=ReviewPointInfoVO, description="评查摘要")
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document: dict[str, Any] | None = Field(default=None, description="文档信息")
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comparison_document: dict[str, Any] | None = Field(default=None, description="比对文档信息")
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scoring_proposals: list[dict[str, Any]] = Field(default_factory=list, description="评分提案")
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class ReviewPointAuditVO(BaseModel):
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"""评查点人工审核更新结果。"""
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reviewPointResultId: int = Field(..., description="规则结果ID")
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editAuditStatusId: int = Field(..., description="审核记录ID")
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editAuditStatus: int = Field(..., description="审核状态")
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overrideResult: bool | None = Field(default=None, description="人工覆盖结果")
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message: str = Field("", description="审核意见")
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class DocumentConfirmVO(BaseModel):
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"""文档确认评查结果。"""
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documentId: int = Field(..., description="文档ID")
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auditStatus: int = Field(..., description="文档审核状态")
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