wren
64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
from pydantic import BaseModel, Field
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class RagChatAppVO(BaseModel):
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appId: str = Field(..., description="应用ID")
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appName: str = Field(..., description="应用名称")
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description: str = Field("", description="应用描述")
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isDefault: bool = Field(False, description="是否默认应用")
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class RagChatAppListVO(BaseModel):
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data: list[RagChatAppVO] = Field(default_factory=list)
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total: int = Field(0)
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class RagConversationItemVO(BaseModel):
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id: str = Field(..., description="会话ID")
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name: str = Field(..., description="会话名称")
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introduction: str = Field("", description="会话简介")
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titleSource: str = Field("default", description="标题来源: default/auto/manual")
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createdAt: int = Field(0, description="创建时间戳")
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updatedAt: int = Field(0, description="更新时间戳")
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lastMessageAt: int = Field(0, description="最后一条消息完成时间戳")
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class RagConversationPageVO(BaseModel):
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data: list[RagConversationItemVO] = Field(default_factory=list)
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hasMore: bool = Field(False)
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limit: int = Field(20)
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class RagMessageItemVO(BaseModel):
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id: str = Field(...)
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conversationId: str = Field(...)
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query: str = Field(...)
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answer: str = Field(...)
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feedback: dict | None = Field(None)
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retrieverResources: list[dict] | None = Field(None)
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suggestedQuestions: list[str] = Field(default_factory=list)
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status: str = Field("completed")
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createdAt: int = Field(0)
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class RagMessagePageVO(BaseModel):
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data: list[RagMessageItemVO] = Field(default_factory=list)
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hasMore: bool = Field(False)
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limit: int = Field(20)
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class RagConversationRenameVO(BaseModel):
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result: str = Field("success")
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name: str = Field(...)
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class RagOperationResultVO(BaseModel):
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result: str = Field("success")
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class RagAppParametersVO(BaseModel):
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openingStatement: str = Field("", description="开场白")
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suggestedQuestions: list[str] = Field(default_factory=list)
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userInputForm: list[dict] = Field(default_factory=list)
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fileUpload: dict = Field(default_factory=lambda: {"image": {"enabled": False}})
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