xiamuceer-j
147 lines
7.1 KiB
Python
147 lines
7.1 KiB
Python
"""大纲相关的Pydantic模型"""
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from pydantic import BaseModel, Field, ConfigDict
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from typing import Optional, List, Dict, Any
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from datetime import datetime
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class OutlineBase(BaseModel):
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"""大纲基础模型"""
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title: str = Field(..., description="章节标题")
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content: str = Field(..., description="章节内容概要")
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class OutlineCreate(BaseModel):
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"""创建大纲的请求模型"""
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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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content: str = Field(..., description="章节内容概要")
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order_index: int = Field(..., description="章节序号", ge=1)
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structure: Optional[str] = Field(None, description="结构化大纲数据(JSON)")
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class OutlineUpdate(BaseModel):
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"""更新大纲的请求模型"""
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title: Optional[str] = None
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content: Optional[str] = None
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structure: Optional[str] = Field(None, description="结构化大纲数据(JSON)")
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# order_index 不允许通过普通更新修改，只能通过 reorder_outlines 接口批量调整
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class OutlineResponse(BaseModel):
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"""大纲响应模型"""
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id: str
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project_id: str
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title: str
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content: str
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structure: Optional[str] = None
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order_index: int
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has_chapters: Optional[bool] = None
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created_at: datetime
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updated_at: datetime
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model_config = ConfigDict(from_attributes=True)
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class OutlineGenerateRequest(BaseModel):
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"""AI生成大纲的请求模型 - 支持全新生成和智能续写"""
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project_id: str = Field(..., description="项目ID")
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genre: Optional[str] = Field(None, description="小说类型，如：玄幻、都市、悬疑等")
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theme: str = Field(..., description="小说主题")
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chapter_count: int = Field(..., ge=1, description="章节数量")
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narrative_perspective: str = Field(..., description="叙事视角")
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world_context: Optional[dict] = Field(None, description="世界观背景")
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characters_context: Optional[list] = Field(None, description="角色信息")
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target_words: int = Field(100000, description="目标字数")
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requirements: Optional[str] = Field(None, description="其他特殊要求")
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provider: Optional[str] = Field(None, description="AI提供商")
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model: Optional[str] = Field(None, description="AI模型")
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# 续写相关参数
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mode: str = Field("auto", description="生成模式: auto(自动判断), new(全新生成), continue(续写)")
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story_direction: Optional[str] = Field(None, description="故事发展方向提示(续写时使用)")
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plot_stage: str = Field("development", description="情节阶段: development(发展), climax(高潮), ending(结局)")
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keep_existing: bool = Field(False, description="是否保留现有大纲(续写时)")
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enable_mcp: bool = Field(True, description="是否启用MCP工具增强（搜索情节设计参考）")
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class ChapterOutlineGenerateRequest(BaseModel):
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"""为单个章节生成大纲的请求模型"""
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outline_id: str = Field(..., description="大纲ID")
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context: Optional[str] = Field(None, description="额外上下文")
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provider: Optional[str] = Field(None, description="AI提供商")
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model: Optional[str] = Field(None, description="AI模型")
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class OutlineListResponse(BaseModel):
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"""大纲列表响应模型"""
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total: int
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items: list[OutlineResponse]
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class ChapterPlanItem(BaseModel):
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"""单个章节规划项"""
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sub_index: int = Field(..., description="子章节序号", ge=1)
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title: str = Field(..., description="章节标题")
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plot_summary: str = Field(..., description="剧情摘要(200-300字)")
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key_events: list[str] = Field(..., description="关键事件列表")
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character_focus: list[str] = Field(..., description="主要涉及的角色")
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emotional_tone: str = Field(..., description="情感基调")
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narrative_goal: str = Field(..., description="叙事目标")
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conflict_type: str = Field(..., description="冲突类型")
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estimated_words: int = Field(3000, description="预计字数", ge=1000)
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scenes: Optional[list[str]] = Field(None, description="场景列表(可选)")
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class OutlineExpansionRequest(BaseModel):
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"""大纲展开为多章节的请求模型（outline_id从路径参数获取）"""
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target_chapter_count: int = Field(3, description="目标章节数", ge=1, le=10)
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expansion_strategy: str = Field("balanced", description="展开策略: balanced(均衡), climax(高潮重点), detail(细节丰富)")
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enable_scene_analysis: bool = Field(False, description="是否包含场景规划")
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auto_create_chapters: bool = Field(True, description="是否自动创建章节记录")
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provider: Optional[str] = Field(None, description="AI提供商")
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model: Optional[str] = Field(None, description="AI模型")
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class OutlineExpansionResponse(BaseModel):
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"""大纲展开响应模型"""
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outline_id: str = Field(..., description="大纲ID")
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outline_title: str = Field(..., description="大纲标题")
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target_chapter_count: int = Field(..., description="目标章节数")
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actual_chapter_count: int = Field(..., description="实际生成的章节数")
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expansion_strategy: str = Field(..., description="使用的展开策略")
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chapter_plans: list[ChapterPlanItem] = Field(..., description="章节规划列表")
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created_chapters: Optional[list] = Field(None, description="已创建的章节列表")
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class BatchOutlineExpansionRequest(BaseModel):
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"""批量大纲展开请求模型"""
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project_id: str = Field(..., description="项目ID")
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outline_ids: Optional[list[str]] = Field(None, description="要展开的大纲ID列表(为空则展开所有)")
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chapters_per_outline: int = Field(3, description="每个大纲的目标章节数", ge=1, le=10)
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expansion_strategy: str = Field("balanced", description="展开策略")
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enable_scene_analysis: bool = Field(False, description="是否包含场景规划")
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auto_create_chapters: bool = Field(True, description="是否自动创建章节记录")
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provider: Optional[str] = Field(None, description="AI提供商")
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model: Optional[str] = Field(None, description="AI模型")
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class BatchOutlineExpansionResponse(BaseModel):
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"""批量大纲展开响应模型"""
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project_id: str = Field(..., description="项目ID")
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total_outlines_expanded: int = Field(..., description="总共展开的大纲数")
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total_chapters_created: int = Field(..., description="总共创建的章节数")
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expansion_results: list[OutlineExpansionResponse] = Field(..., description="展开结果列表")
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skipped_outlines: Optional[list[dict]] = Field(None, description="跳过的大纲列表(已展开)")
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class CreateChaptersFromPlansRequest(BaseModel):
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"""根据已有规划创建章节的请求模型"""
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chapter_plans: list[ChapterPlanItem] = Field(..., description="章节规划列表（来自之前的AI生成结果）")
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class CreateChaptersFromPlansResponse(BaseModel):
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"""根据已有规划创建章节的响应模型"""
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outline_id: str = Field(..., description="大纲ID")
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outline_title: str = Field(..., description="大纲标题")
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chapters_created: int = Field(..., description="创建的章节数")
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created_chapters: list = Field(..., description="创建的章节列表") |