feat: add synopsis generation endpoint and frontend integration

qwen3-tts-backend/api/audiobook.py

@@ -24,6 +24,7 @@ from schemas.audiobook import (
     AudiobookGenerateRequest,
     AudiobookAnalyzeRequest,
     ScriptGenerationRequest,
+    SynopsisGenerationRequest,
 )
 from core.config import settings
 
@@ -152,6 +153,47 @@ async def list_projects(
     return [_project_to_response(p) for p in projects]
 
 
+@router.post("/projects/generate-synopsis")
+async def generate_synopsis(
+    data: SynopsisGenerationRequest,
+    current_user: User = Depends(get_current_user),
+    db: Session = Depends(get_db),
+):
+    from db.crud import get_system_setting
+    if not get_system_setting(db, "llm_api_key") or not get_system_setting(db, "llm_base_url") or not get_system_setting(db, "llm_model"):
+        raise HTTPException(status_code=400, detail="LLM config not set. Please configure LLM API key first.")
+
+    from core.audiobook_service import _get_llm_service
+    llm = _get_llm_service(db)
+
+    system_prompt = (
+        "你是一位专业的小说策划师，擅长根据创作参数生成引人入胜的故事简介。"
+        "请根据用户提供的类型、风格、主角、冲突等参数，生成一段200-400字的中文故事简介。"
+        "简介需涵盖：世界观背景、主角基本情况、核心矛盾冲突、故事基调。"
+        "直接输出简介正文，不要加任何前缀标题或说明文字。"
+    )
+    parts = [f"类型：{data.genre}"]
+    if data.subgenre:
+        parts.append(f"子类型：{data.subgenre}")
+    if data.protagonist_type:
+        parts.append(f"主角类型：{data.protagonist_type}")
+    if data.tone:
+        parts.append(f"故事基调：{data.tone}")
+    if data.conflict_scale:
+        parts.append(f"冲突规模：{data.conflict_scale}")
+    parts.append(f"角色数量：约{data.num_characters}个主要角色")
+    parts.append(f"故事体量：约{data.num_chapters}章")
+    user_message = "\n".join(parts) + "\n\n请生成故事简介："
+
+    try:
+        synopsis = await llm.chat(system_prompt, user_message)
+    except Exception as e:
+        logger.error(f"Synopsis generation failed: {e}")
+        raise HTTPException(status_code=500, detail=f"LLM generation failed: {str(e)}")
+
+    return {"synopsis": synopsis}
+
+
 @router.post("/projects/generate-script", response_model=AudiobookProjectResponse, status_code=status.HTTP_201_CREATED)
 async def create_ai_script_project(
     data: ScriptGenerationRequest,