update:新增用户API配置提示优化大纲全新/续写的分批生成

2025-10-30 22:01:10 +08:00
parent c4f8cd78f0
commit 12ded06b36
7 changed files with 830 additions and 91 deletions
@@ -2,7 +2,7 @@
 from fastapi import APIRouter, Depends, HTTPException
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy import select, func, delete
-from typing import List
+from typing import List, AsyncGenerator, Dict, Any
 import json

 from app.database import get_db
@@ -23,6 +23,7 @@ from app.services.ai_service import AIService
 from app.services.prompt_service import prompt_service
 from app.logger import get_logger
 from app.api.settings import get_user_ai_service
+from app.utils.sse_response import SSEResponse, create_sse_response

 router = APIRouter(prefix="/outlines", tags=["大纲管理"])
 logger = get_logger(__name__)
@@ -479,27 +480,21 @@ async def _continue_outline(
    db: AsyncSession,
    user_ai_service: AIService
 ) -> OutlineListResponse:
-    """续写大纲"""
+    """续写大纲 - 分批生成，每批5章"""
    logger.info(f"续写大纲 - 项目: {project.id}, 已有: {len(existing_outlines)} 章")
    
    # 分析已有大纲
    current_chapter_count = len(existing_outlines)
    last_chapter_number = existing_outlines[-1].order_index
    
-    # 获取最近2章的剧情
-    recent_outlines = existing_outlines[-2:] if len(existing_outlines) >= 2 else existing_outlines
-    recent_plot = "\n".join([
-        f"第{o.order_index}章《{o.title}》: {o.content}"
-        for o in recent_outlines
-    ])
-    # logger.debug(f"最近三章内容：{recent_plot}")
-    # 全部章节概览
-    all_chapters_brief = "\n".join([
-        f"第{o.order_index}章: {o.title}"
-        for o in existing_outlines
-    ])
+    # 计算需要生成的总章数和批次
+    total_chapters_to_generate = request.chapter_count
+    batch_size = 5  # 每批生成5章
+    total_batches = (total_chapters_to_generate + batch_size - 1) // batch_size
    
-    # 获取角色信息
+    logger.info(f"分批生成计划: 总共{total_chapters_to_generate}章，分{total_batches}批，每批{batch_size}章")
+    
+    # 获取角色信息（所有批次共用）
    characters_result = await db.execute(
        select(Character).where(Character.project_id == project.id)
    )
@@ -518,65 +513,104 @@ async def _continue_outline(
    }
    stage_instruction = stage_instructions.get(request.plot_stage, "")
    
-    # 使用标准续写提示词模板
-    prompt = prompt_service.get_outline_continue_prompt(
-        title=project.title,
-        theme=request.theme or project.theme or "未设定",
-        genre=request.genre or project.genre or "通用",
-        narrative_perspective=request.narrative_perspective,
-        chapter_count=request.chapter_count,
-        time_period=project.world_time_period or "未设定",
-        location=project.world_location or "未设定",
-        atmosphere=project.world_atmosphere or "未设定",
-        rules=project.world_rules or "未设定",
-        characters_info=characters_info or "暂无角色信息",
-        current_chapter_count=current_chapter_count,
-        all_chapters_brief=all_chapters_brief,
-        recent_plot=recent_plot,
-        plot_stage_instruction=stage_instruction,
-        start_chapter=last_chapter_number + 1,
-        story_direction=request.story_direction or "自然延续",
-        requirements=request.requirements or ""
-    )
+    # 批量生成
+    all_new_outlines = []
+    current_start_chapter = last_chapter_number + 1
    
-    # 调用AI
-    ai_response = await user_ai_service.generate_text(
-        prompt=prompt,
-        provider=request.provider,
-        model=request.model
-    )
-    
-    # 解析响应
-    outline_data = _parse_ai_response(ai_response)
-    
-    # 保存续写的大纲
-    new_outlines = await _save_outlines(
-        project.id, outline_data, db, start_index=last_chapter_number + 1
-    )
-    
-    # 记录历史
-    history = GenerationHistory(
-        project_id=project.id,
-        prompt=prompt,
-        generated_content=ai_response,
-        model=request.model or "default"
-    )
-    db.add(history)
-    
-    await db.commit()
-    
-    for outline in new_outlines:
-        await db.refresh(outline)
+    for batch_num in range(total_batches):
+        # 计算当前批次的章节数
+        remaining_chapters = total_chapters_to_generate - len(all_new_outlines)
+        current_batch_size = min(batch_size, remaining_chapters)
+        
+        logger.info(f"开始生成第{batch_num + 1}/{total_batches}批，章节范围: {current_start_chapter}-{current_start_chapter + current_batch_size - 1}")
+        
+        # 获取最新的大纲列表（包括之前批次生成的）
+        latest_result = await db.execute(
+            select(Outline)
+            .where(Outline.project_id == project.id)
+            .order_by(Outline.order_index)
+        )
+        latest_outlines = latest_result.scalars().all()
+        
+        # 获取最近2章的剧情
+        recent_outlines = latest_outlines[-2:] if len(latest_outlines) >= 2 else latest_outlines
+        recent_plot = "\n".join([
+            f"第{o.order_index}章《{o.title}》: {o.content}"
+            for o in recent_outlines
+        ])
+        
+        # 全部章节概览
+        all_chapters_brief = "\n".join([
+            f"第{o.order_index}章: {o.title}"
+            for o in latest_outlines
+        ])
+        
+        # 使用标准续写提示词模板
+        prompt = prompt_service.get_outline_continue_prompt(
+            title=project.title,
+            theme=request.theme or project.theme or "未设定",
+            genre=request.genre or project.genre or "通用",
+            narrative_perspective=request.narrative_perspective,
+            chapter_count=current_batch_size,  # 当前批次的章节数
+            time_period=project.world_time_period or "未设定",
+            location=project.world_location or "未设定",
+            atmosphere=project.world_atmosphere or "未设定",
+            rules=project.world_rules or "未设定",
+            characters_info=characters_info or "暂无角色信息",
+            current_chapter_count=len(latest_outlines),
+            all_chapters_brief=all_chapters_brief,
+            recent_plot=recent_plot,
+            plot_stage_instruction=stage_instruction,
+            start_chapter=current_start_chapter,
+            story_direction=request.story_direction or "自然延续",
+            requirements=request.requirements or ""
+        )
+        
+        # 调用AI生成当前批次
+        logger.info(f"正在调用AI生成第{batch_num + 1}批...")
+        ai_response = await user_ai_service.generate_text(
+            prompt=prompt,
+            provider=request.provider,
+            model=request.model
+        )
+        
+        # 解析响应
+        outline_data = _parse_ai_response(ai_response)
+        
+        # 保存当前批次的大纲
+        batch_outlines = await _save_outlines(
+            project.id, outline_data, db, start_index=current_start_chapter
+        )
+        
+        # 记录历史
+        history = GenerationHistory(
+            project_id=project.id,
+            prompt=f"[批次{batch_num + 1}/{total_batches}] {str(prompt)[:500]}",
+            generated_content=ai_response,
+            model=request.model or "default"
+        )
+        db.add(history)
+        
+        # 提交当前批次
+        await db.commit()
+        
+        for outline in batch_outlines:
+            await db.refresh(outline)
+        
+        all_new_outlines.extend(batch_outlines)
+        current_start_chapter += current_batch_size
+        
+        logger.info(f"第{batch_num + 1}批生成完成，本批生成{len(batch_outlines)}章")
    
    # 返回所有大纲（包括旧的和新的）
-    all_result = await db.execute(
+    final_result = await db.execute(
        select(Outline)
        .where(Outline.project_id == project.id)
        .order_by(Outline.order_index)
    )
-    all_outlines = all_result.scalars().all()
+    all_outlines = final_result.scalars().all()
    
-    logger.info(f"续写完成 - 新增 {len(new_outlines)} 章，总计 {len(all_outlines)} 章")
+    logger.info(f"续写完成 - 共{total_batches}批，新增 {len(all_new_outlines)} 章，总计 {len(all_outlines)} 章")
    return OutlineListResponse(total=len(all_outlines), items=all_outlines)


@@ -658,4 +692,437 @@ async def _save_outlines(
        )
        db.add(chapter)
    
-    return outlines
+    return outlines
+
+
+async def new_outline_generator(
+    data: Dict[str, Any],
+    db: AsyncSession,
+    user_ai_service: AIService
+) -> AsyncGenerator[str, None]:
+    """全新生成大纲SSE生成器"""
+    db_committed = False
+    try:
+        yield await SSEResponse.send_progress("开始生成大纲...", 5)
+        
+        project_id = data.get("project_id")
+        # 确保chapter_count是整数（前端可能传字符串）
+        chapter_count = int(data.get("chapter_count", 10))
+        
+        # 验证项目
+        yield await SSEResponse.send_progress("加载项目信息...", 10)
+        result = await db.execute(
+            select(Project).where(Project.id == project_id)
+        )
+        project = result.scalar_one_or_none()
+        if not project:
+            yield await SSEResponse.send_error("项目不存在", 404)
+            return
+        
+        yield await SSEResponse.send_progress(f"准备生成{chapter_count}章大纲...", 15)
+        
+        # 获取角色信息
+        characters_result = await db.execute(
+            select(Character).where(Character.project_id == project_id)
+        )
+        characters = characters_result.scalars().all()
+        characters_info = "\n".join([
+            f"- {char.name} ({'组织' if char.is_organization else '角色'}, {char.role_type}): "
+            f"{char.personality[:100] if char.personality else '暂无描述'}"
+            for char in characters
+        ])
+        
+        # 使用完整提示词
+        yield await SSEResponse.send_progress("准备AI提示词...", 20)
+        prompt = prompt_service.get_complete_outline_prompt(
+            title=project.title,
+            theme=data.get("theme") or project.theme or "未设定",
+            genre=data.get("genre") or project.genre or "通用",
+            chapter_count=chapter_count,
+            narrative_perspective=data.get("narrative_perspective") or "第三人称",
+            target_words=data.get("target_words") or project.target_words or 100000,
+            time_period=project.world_time_period or "未设定",
+            location=project.world_location or "未设定",
+            atmosphere=project.world_atmosphere or "未设定",
+            rules=project.world_rules or "未设定",
+            characters_info=characters_info or "暂无角色信息",
+            requirements=data.get("requirements") or ""
+        )
+        
+        # 调用AI
+        yield await SSEResponse.send_progress("🤖 正在调用AI生成...", 30)
+        ai_response = await user_ai_service.generate_text(
+            prompt=prompt,
+            provider=data.get("provider"),
+            model=data.get("model")
+        )
+        
+        yield await SSEResponse.send_progress("✅ AI生成完成，正在解析...", 70)
+        
+        # 解析响应
+        outline_data = _parse_ai_response(ai_response)
+        
+        # 删除旧大纲和章节
+        yield await SSEResponse.send_progress("清理旧数据...", 75)
+        logger.info(f"删除项目 {project_id} 的旧大纲和章节")
+        await db.execute(
+            delete(Outline).where(Outline.project_id == project_id)
+        )
+        await db.execute(
+            delete(Chapter).where(Chapter.project_id == project_id)
+        )
+        
+        # 保存新大纲
+        yield await SSEResponse.send_progress("💾 保存大纲到数据库...", 80)
+        outlines = await _save_outlines(
+            project_id, outline_data, db, start_index=1
+        )
+        
+        # 记录历史
+        history = GenerationHistory(
+            project_id=project_id,
+            prompt=prompt,
+            generated_content=ai_response,
+            model=data.get("model") or "default"
+        )
+        db.add(history)
+        
+        await db.commit()
+        db_committed = True
+        
+        for outline in outlines:
+            await db.refresh(outline)
+        
+        yield await SSEResponse.send_progress("整理结果数据...", 95)
+        
+        logger.info(f"全新生成完成 - {len(outlines)} 章")
+        
+        # 发送最终结果
+        yield await SSEResponse.send_result({
+            "message": f"成功生成{len(outlines)}章大纲",
+            "total_chapters": len(outlines),
+            "outlines": [
+                {
+                    "id": outline.id,
+                    "project_id": outline.project_id,
+                    "title": outline.title,
+                    "content": outline.content,
+                    "order_index": outline.order_index,
+                    "structure": outline.structure,
+                    "created_at": outline.created_at.isoformat() if outline.created_at else None,
+                    "updated_at": outline.updated_at.isoformat() if outline.updated_at else None
+                } for outline in outlines
+            ]
+        })
+        
+        yield await SSEResponse.send_progress("🎉 生成完成!", 100, "success")
+        yield await SSEResponse.send_done()
+        
+    except GeneratorExit:
+        logger.warning("大纲生成器被提前关闭")
+        if not db_committed and db.in_transaction():
+            await db.rollback()
+            logger.info("大纲生成事务已回滚（GeneratorExit）")
+    except Exception as e:
+        logger.error(f"大纲生成失败: {str(e)}")
+        if not db_committed and db.in_transaction():
+            await db.rollback()
+            logger.info("大纲生成事务已回滚（异常）")
+        yield await SSEResponse.send_error(f"生成失败: {str(e)}")
+
+
+async def continue_outline_generator(
+    data: Dict[str, Any],
+    db: AsyncSession,
+    user_ai_service: AIService
+) -> AsyncGenerator[str, None]:
+    """大纲续写SSE生成器 - 分批生成，推送进度"""
+    db_committed = False
+    try:
+        yield await SSEResponse.send_progress("开始续写大纲...", 5)
+        
+        project_id = data.get("project_id")
+        # 确保chapter_count是整数（前端可能传字符串）
+        total_chapters_to_generate = int(data.get("chapter_count", 5))
+        
+        # 验证项目
+        yield await SSEResponse.send_progress("加载项目信息...", 10)
+        result = await db.execute(
+            select(Project).where(Project.id == project_id)
+        )
+        project = result.scalar_one_or_none()
+        if not project:
+            yield await SSEResponse.send_error("项目不存在", 404)
+            return
+        
+        # 获取现有大纲
+        yield await SSEResponse.send_progress("分析已有大纲...", 15)
+        existing_result = await db.execute(
+            select(Outline)
+            .where(Outline.project_id == project_id)
+            .order_by(Outline.order_index)
+        )
+        existing_outlines = existing_result.scalars().all()
+        
+        if not existing_outlines:
+            yield await SSEResponse.send_error("续写模式需要已有大纲，当前项目没有大纲", 400)
+            return
+        
+        current_chapter_count = len(existing_outlines)
+        last_chapter_number = existing_outlines[-1].order_index
+        
+        yield await SSEResponse.send_progress(
+            f"当前已有{str(current_chapter_count)}章，将续写{str(total_chapters_to_generate)}章",
+            20
+        )
+        
+        # 获取角色信息
+        characters_result = await db.execute(
+            select(Character).where(Character.project_id == project_id)
+        )
+        characters = characters_result.scalars().all()
+        characters_info = "\n".join([
+            f"- {char.name} ({'组织' if char.is_organization else '角色'}, {char.role_type}): "
+            f"{char.personality[:100] if char.personality else '暂无描述'}"
+            for char in characters
+        ])
+
+        # 分批配置
+        batch_size = 5
+        total_batches = (total_chapters_to_generate + batch_size - 1) // batch_size
+        yield await SSEResponse.send_progress(
+            f"分批生成计划: 总共{str(total_chapters_to_generate)}章，分{str(total_batches)}批，每批{str(batch_size)}章",
+            25
+        )
+        
+        # 情节阶段指导
+        stage_instructions = {
+            "development": "继续展开情节，深化角色关系，推进主线冲突",
+            "climax": "进入故事高潮，矛盾激化，关键冲突爆发",
+            "ending": "解决主要冲突，收束伏笔，给出结局"
+        }
+        stage_instruction = stage_instructions.get(data.get("plot_stage", "development"), "")
+        
+        # 批量生成
+        all_new_outlines = []
+        current_start_chapter = last_chapter_number + 1
+
+        for batch_num in range(total_batches):
+            # 计算当前批次的章节数
+            remaining_chapters = int(total_chapters_to_generate) - len(all_new_outlines)
+            current_batch_size = min(batch_size, remaining_chapters)
+            
+            batch_progress = 25 + (batch_num * 60 // total_batches)
+            
+            yield await SSEResponse.send_progress(
+                f"📝 第{str(batch_num + 1)}/{str(total_batches)}批: 生成第{str(current_start_chapter)}-{str(current_start_chapter + current_batch_size - 1)}章",
+                batch_progress
+            )
+            
+            # 获取最新的大纲列表（包括之前批次生成的）
+            latest_result = await db.execute(
+                select(Outline)
+                .where(Outline.project_id == project_id)
+                .order_by(Outline.order_index)
+            )
+            latest_outlines = latest_result.scalars().all()
+            
+            # 获取最近2章的剧情
+            recent_outlines = latest_outlines[-2:] if len(latest_outlines) >= 2 else latest_outlines
+            recent_plot = "\n".join([
+                f"第{o.order_index}章《{o.title}》: {o.content}"
+                for o in recent_outlines
+            ])
+            
+            # 全部章节概览
+            all_chapters_brief = "\n".join([
+                f"第{o.order_index}章: {o.title}"
+                for o in latest_outlines
+            ])
+            
+            yield await SSEResponse.send_progress(
+                f"🤖 调用AI生成第{str(batch_num + 1)}批...",
+                batch_progress + 5
+            )
+            
+            # 使用标准续写提示词模板
+            prompt = prompt_service.get_outline_continue_prompt(
+                title=project.title,
+                theme=data.get("theme") or project.theme or "未设定",
+                genre=data.get("genre") or project.genre or "通用",
+                narrative_perspective=data.get("narrative_perspective") or project.narrative_perspective or "第三人称",
+                chapter_count=current_batch_size,
+                time_period=project.world_time_period or "未设定",
+                location=project.world_location or "未设定",
+                atmosphere=project.world_atmosphere or "未设定",
+                rules=project.world_rules or "未设定",
+                characters_info=characters_info or "暂无角色信息",
+                current_chapter_count=len(latest_outlines),
+                all_chapters_brief=all_chapters_brief,
+                recent_plot=recent_plot,
+                plot_stage_instruction=stage_instruction,
+                start_chapter=current_start_chapter,
+                story_direction=data.get("story_direction", "自然延续"),
+                requirements=data.get("requirements", "")
+            )
+            
+            # 调用AI生成当前批次
+            ai_response = await user_ai_service.generate_text(
+                prompt=prompt,
+                provider=data.get("provider"),
+                model=data.get("model")
+            )
+            
+            yield await SSEResponse.send_progress(
+                f"✅ 第{str(batch_num + 1)}批AI生成完成，正在解析...",
+                batch_progress + 10
+            )
+            
+            # 解析响应
+            outline_data = _parse_ai_response(ai_response)
+            
+            # 保存当前批次的大纲
+            batch_outlines = await _save_outlines(
+                project_id, outline_data, db, start_index=current_start_chapter
+            )
+            
+            # 记录历史
+            history = GenerationHistory(
+                project_id=project_id,
+                prompt=f"[续写批次{batch_num + 1}/{total_batches}] {str(prompt)[:500]}",
+                generated_content=ai_response,
+                model=data.get("model") or "default"
+            )
+            db.add(history)
+            
+            # 提交当前批次
+            await db.commit()
+            
+            for outline in batch_outlines:
+                await db.refresh(outline)
+            
+            all_new_outlines.extend(batch_outlines)
+            current_start_chapter += current_batch_size
+            
+            yield await SSEResponse.send_progress(
+                f"💾 第{str(batch_num + 1)}批保存成功！本批生成{str(len(batch_outlines))}章，累计新增{str(len(all_new_outlines))}章",
+                batch_progress + 15
+            )
+            
+            logger.info(f"第{str(batch_num + 1)}批生成完成，本批生成{str(len(batch_outlines))}章")
+        
+        db_committed = True
+        
+        # 返回所有大纲（包括旧的和新的）
+        final_result = await db.execute(
+            select(Outline)
+            .where(Outline.project_id == project_id)
+            .order_by(Outline.order_index)
+        )
+        all_outlines = final_result.scalars().all()
+        
+        yield await SSEResponse.send_progress("整理结果数据...", 95)
+        
+        # 发送最终结果
+        yield await SSEResponse.send_result({
+            "message": f"续写完成！共{str(total_batches)}批，新增{str(len(all_new_outlines))}章，总计{str(len(all_outlines))}章",
+            "total_batches": total_batches,
+            "new_chapters": len(all_new_outlines),
+            "total_chapters": len(all_outlines),
+            "outlines": [
+                {
+                    "id": outline.id,
+                    "project_id": outline.project_id,
+                    "title": outline.title,
+                    "content": outline.content,
+                    "order_index": outline.order_index,
+                    "structure": outline.structure,
+                    "created_at": outline.created_at.isoformat() if outline.created_at else None,
+                    "updated_at": outline.updated_at.isoformat() if outline.updated_at else None
+                } for outline in all_outlines
+            ]
+        })
+        
+        yield await SSEResponse.send_progress("🎉 续写完成!", 100, "success")
+        yield await SSEResponse.send_done()
+        
+    except GeneratorExit:
+        logger.warning("大纲续写生成器被提前关闭")
+        if not db_committed and db.in_transaction():
+            await db.rollback()
+            logger.info("大纲续写事务已回滚（GeneratorExit）")
+    except Exception as e:
+        logger.error(f"大纲续写失败: {str(e)}")
+        if not db_committed and db.in_transaction():
+            await db.rollback()
+            logger.info("大纲续写事务已回滚（异常）")
+        yield await SSEResponse.send_error(f"续写失败: {str(e)}")
+
+
+@router.post("/generate-stream", summary="AI生成/续写大纲(SSE流式)")
+async def generate_outline_stream(
+    data: Dict[str, Any],
+    db: AsyncSession = Depends(get_db),
+    user_ai_service: AIService = Depends(get_user_ai_service)
+):
+    """
+    使用SSE流式生成或续写小说大纲，实时推送批次进度
+    
+    支持模式：
+    - auto: 自动判断（无大纲→新建，有大纲→续写）
+    - new: 全新生成
+    - continue: 续写模式
+    
+    请求体示例：
+    {
+        "project_id": "项目ID",
+        "chapter_count": 5,  // 章节数
+        "mode": "auto",  // auto/new/continue
+        "theme": "故事主题",  // new模式必需
+        "story_direction": "故事发展方向",  // continue模式可选
+        "plot_stage": "development",  // continue模式：development/climax/ending
+        "narrative_perspective": "第三人称",
+        "requirements": "其他要求",
+        "provider": "openai",  // 可选
+        "model": "gpt-4"  // 可选
+    }
+    """
+    # 验证项目是否存在
+    result = await db.execute(
+        select(Project).where(Project.id == data.get("project_id"))
+    )
+    project = result.scalar_one_or_none()
+    if not project:
+        raise HTTPException(status_code=404, detail="项目不存在")
+    
+    # 判断模式
+    mode = data.get("mode", "auto")
+    
+    # 获取现有大纲
+    existing_result = await db.execute(
+        select(Outline)
+        .where(Outline.project_id == data.get("project_id"))
+        .order_by(Outline.order_index)
+    )
+    existing_outlines = existing_result.scalars().all()
+    
+    # 自动判断模式
+    if mode == "auto":
+        mode = "continue" if existing_outlines else "new"
+        logger.info(f"自动判断模式：{'续写' if existing_outlines else '新建'}")
+    
+    # 根据模式选择生成器
+    if mode == "new":
+        return create_sse_response(new_outline_generator(data, db, user_ai_service))
+    elif mode == "continue":
+        if not existing_outlines:
+            raise HTTPException(
+                status_code=400,
+                detail="续写模式需要已有大纲，当前项目没有大纲"
+            )
+        return create_sse_response(continue_outline_generator(data, db, user_ai_service))
+    else:
+        raise HTTPException(
+            status_code=400,
+            detail=f"不支持的模式: {mode}"
+        )
@@ -148,7 +148,7 @@ async def get_db(request: Request):
            
            logger.debug(f"📊 会话关闭 [User:{user_id}][ID:{session_id}] - 活跃:{_session_stats['active']}, 总创建:{_session_stats['created']}, 总关闭:{_session_stats['closed']}, 错误:{_session_stats['errors']}")
            
-            if _session_stats["active"] > 10:
+            if _session_stats["active"] > 100:
                logger.warning(f"🚨 活跃会话数过多: {_session_stats['active']}，可能存在连接泄漏！")
            elif _session_stats["active"] < 0:
                logger.error(f"🚨 活跃会话数异常: {_session_stats['active']}，统计可能不准确！")
@@ -150,7 +150,7 @@ class PromptService:
 3. 不要引用任何本批次中不存在的角色或组织名称
 4. 文本描述中不要使用中文引号（""），改用【】或《》"""

-    # 完整大纲生成提示词
+    # 向导大纲生成提示词
    COMPLETE_OUTLINE_GENERATION = """你是一位经验丰富的小说作家和编剧。请根据以下信息生成完整的{chapter_count}章小说大纲：

 基本信息：
@@ -639,7 +639,7 @@ class PromptService:
                                   target_words: int, time_period: str, location: str,
                                   atmosphere: str, rules: str, characters_info: str,
                                   requirements: str = "") -> str:
-        """获取完整大纲生成提示词"""
+        """获取向导大纲生成提示词"""
        return cls.format_prompt(
            cls.COMPLETE_OUTLINE_GENERATION,
            title=title,