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59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
# -*- coding: utf-8 -*-
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from pydantic import BaseModel, ConfigDict, Field
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from fastapi import Query
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from app.core.validator import DateTimeStr
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from app.core.base_schema import BaseSchema, UserBySchema
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class GenDemo01CreateSchema(BaseModel):
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"""
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示例新增模型
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"""
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name: str = Field(default=..., description='名称')
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status: str = Field(default="0", description='是否启用(0:启用 1:禁用)')
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description: str | None = Field(default=None, max_length=255, description='备注/描述')
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class GenDemo01UpdateSchema(GenDemo01CreateSchema):
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"""
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示例更新模型
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"""
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...
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class GenDemo01OutSchema(GenDemo01CreateSchema, BaseSchema, UserBySchema):
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"""
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示例响应模型
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"""
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model_config = ConfigDict(from_attributes=True)
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class GenDemo01QueryParam:
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"""示例查询参数"""
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def __init__(
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self,
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name: str | None = Query(None, description="名称"),
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status: str | None = Query(None, description="是否启用(0:启用 1:禁用)"),
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created_id: int | None = Query(None, description="创建人ID"),
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updated_id: int | None = Query(None, description="更新人ID"),
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created_time: list[DateTimeStr] | None = Query(None, description="创建时间范围", examples=["2025-01-01 00:00:00", "2025-12-31 23:59:59"]),
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updated_time: list[DateTimeStr] | None = Query(None, description="更新时间范围", examples=["2025-01-01 00:00:00", "2025-12-31 23:59:59"]),
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) -> None:
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# 模糊查询字段
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self.name = ("like", name)
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# 模糊查询字段
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self.status = ("like", status)
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# 精确查询字段
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self.created_id = created_id
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# 精确查询字段
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self.updated_id = updated_id
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# 时间范围查询
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if created_time and len(created_time) == 2:
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self.created_time = ("between", (created_time[0], created_time[1]))
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if updated_time and len(updated_time) == 2:
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self.updated_time = ("between", (updated_time[0], updated_time[1]))
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