77 lines
3.3 KiB
Python
77 lines
3.3 KiB
Python
from datetime import datetime
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from pydantic import BaseModel, ConfigDict, Field
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from pydantic.alias_generators import to_camel
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from typing import Optional, List
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from module_admin.annotation.pydantic_annotation import as_query
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class RagflowListQueryModel(BaseModel):
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model_config = ConfigDict(alias_generator=to_camel, from_attributes=True)
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page: int = Field(default=1, description='当前页码')
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page_size: int = Field(default=10, description='每页数量')
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orderby: Optional[str] = Field(default='create_time', description='排序字段')
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desc: Optional[str] = Field(default='true', description='排序方式')
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name: Optional[str] = Field(default=None, description='名称')
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# dataset_id: Optional[str] = Field(default=None, description='数据集ID')
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# chat_id: Optional[str] = Field(default=None, description='聊天ID')
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@as_query
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class ListDocumentsQueryModel(BaseModel):
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"""
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查询文档列表参数模型
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"""
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model_config = ConfigDict(alias_generator=to_camel, from_attributes=True)
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page: int = Field(default=1, description='当前页码')
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page_size: int = Field(default=10, description='每页数量')
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orderby: Optional[str] = Field(default='create_time', description='排序字段')
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desc: Optional[str] = Field(default='true', description='排序方式')
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keywords: Optional[str] = Field(default=None, description='关键字')
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document_id: Optional[str] = Field(default=None, description='文档ID')
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document_name: Optional[str] = Field(default=None, description='文档名称')
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class UpdateFileModel(BaseModel):
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"""
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更新文件模型
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"""
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# name 要带文件后缀名
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model_config = ConfigDict(alias_generator=to_camel, from_attributes=True)
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name: Optional[str] = Field(default=None, description='文件名称')
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meta_fields: Optional[dict] = Field(default=None, description='文件元数据')
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# naive, manual qa table paper book laws presentation picture one email
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chunk_method: Optional[str] = Field(default=None, description='分块方法')
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# 不同的分块方法有不同的参数.
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parser_config: Optional[dict] = Field(default=None, description='解析器配置')
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class DocumentIdsModel(BaseModel):
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model_config = ConfigDict(alias_generator=to_camel, from_attributes=True)
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documnet_ids: list[str] = Field(default=None, description='文件ID列表')
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class DeleteFileModel(BaseModel):
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ids: List[str] = Field(description='文档ID列表')
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class CreateDatasetModel(BaseModel):
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"""
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创建数据集参数模型
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"""
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model_config = ConfigDict(alias_generator=to_camel, from_attributes=True)
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name:str = Field(description='数据集名称')
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avatar: Optional[str] = Field(default=None, description='数据集头像, base64编码')
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description: Optional[str] = Field(default=None, description='数据集描述')
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embedding_model: Optional[str] = Field(default=None, description='数据集的embedding模型')
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permission: Optional[str] = Field(default = "me", description='数据集权限')
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chunk_method: Optional[str] = Field(default = "naive", description='数据集分块方法')
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parser_config: Optional[dict] = Field(default = None, description='数据集解析配置')
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