wren
56 lines
2.4 KiB
Python
56 lines
2.4 KiB
Python
"""企查查 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 QichachaCompanyInfoVO(BaseModel):
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"""企业信息响应。"""
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searchKey: str = Field(..., description="查询关键词")
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creditCode: str | None = Field(None, description="统一社会信用代码")
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companyName: str | None = Field(None, description="企业名称")
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enterprise: dict[str, Any] | None = Field(None, description="工商信息")
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dishonesty: dict[str, Any] | None = Field(None, description="失信信息")
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hasDishonesty: bool = Field(False, description="是否存在失信记录")
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dishonestyCount: int = Field(0, description="失信记录数量")
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updatedAt: str | None = Field(None, description="更新时间")
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class QichachaCompanyQueryVO(BaseModel):
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"""企业查询响应。"""
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success: bool = Field(..., description="是否成功")
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message: str = Field(..., description="响应消息")
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data: QichachaCompanyInfoVO | None = Field(None, description="企业信息")
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errorCode: str | None = Field(None, description="错误码")
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errorDetails: dict[str, Any] | None = Field(None, description="错误详情")
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class QichachaBatchQueryVO(BaseModel):
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"""批量企业查询响应。"""
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success: bool = Field(..., description="是否全部成功")
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total: int = Field(..., description="查询总数")
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successCount: int = Field(..., description="成功数")
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failedCount: int = Field(..., description="失败数")
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results: list[QichachaCompanyQueryVO] = Field(default_factory=list, description="查询结果")
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class QichachaRecordStatusVO(BaseModel):
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"""企业缓存记录状态响应。"""
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exists: bool = Field(..., description="是否存在缓存")
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searchKey: str = Field(..., description="查询关键词")
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creditCode: str | None = Field(None, description="统一社会信用代码")
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companyName: str | None = Field(None, description="企业名称")
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hasEnterprise: bool = Field(False, description="是否有工商信息")
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hasDishonesty: bool = Field(False, description="是否有失信信息")
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updatedAt: str | None = Field(None, description="更新时间")
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ageDays: int | None = Field(None, description="缓存天数")
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refreshThresholdDays: int = Field(..., description="刷新阈值")
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needRefresh: bool = Field(False, description="是否需要刷新")
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