xiamuceer
1cde345ed9
2.修复deepseek模型调用问题，舍弃思考过程AI响应内容，只获取结果内容 3.新增会话过期机制，更新后添加到.env中 4.支持用户在生成章节内容时设置字数
68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
"""章节相关的Pydantic模型"""
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from pydantic import BaseModel, Field
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from typing import Optional
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from datetime import datetime
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class ChapterBase(BaseModel):
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"""章节基础模型"""
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title: str = Field(..., description="章节标题")
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chapter_number: int = Field(..., description="章节序号")
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content: Optional[str] = Field(None, description="章节内容")
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summary: Optional[str] = Field(None, description="章节摘要")
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word_count: Optional[int] = Field(0, description="字数")
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status: Optional[str] = Field("draft", description="章节状态")
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class ChapterCreate(BaseModel):
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"""创建章节的请求模型"""
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project_id: str = Field(..., description="所属项目ID")
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title: str = Field(..., description="章节标题")
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chapter_number: int = Field(..., description="章节序号")
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content: Optional[str] = Field(None, description="章节内容")
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summary: Optional[str] = Field(None, description="章节摘要")
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status: Optional[str] = Field("draft", description="章节状态")
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class ChapterUpdate(BaseModel):
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"""更新章节的请求模型"""
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title: Optional[str] = None
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content: Optional[str] = None
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# chapter_number 不允许修改，只能通过大纲的重排序来调整
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summary: Optional[str] = None
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# word_count 自动计算，不允许手动修改
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status: Optional[str] = None
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class ChapterResponse(BaseModel):
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"""章节响应模型"""
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id: str
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project_id: str
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title: str
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chapter_number: int
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content: Optional[str] = None
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summary: Optional[str] = None
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word_count: int = 0
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status: str
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created_at: datetime
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updated_at: datetime
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class Config:
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from_attributes = True
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class ChapterListResponse(BaseModel):
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"""章节列表响应模型"""
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total: int
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items: list[ChapterResponse]
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class ChapterGenerateRequest(BaseModel):
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"""AI生成章节内容的请求模型"""
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style_id: Optional[int] = Field(None, description="写作风格ID，不提供则不使用任何风格")
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target_word_count: Optional[int] = Field(
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3000,
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description="目标字数，默认3000字",
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ge=500, # 最小500字
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le=10000 # 最大10000字
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) |