重构简历优化

app/api/resume.py

@@ -1,10 +1,11 @@
 """简历上传解析接口"""
 
 from fastapi import APIRouter, UploadFile, File
+from pydantic import BaseModel, Field
 
 from app.core.context import RequestContext
 from app.core.database import get_db
-from app.services.resume_parse_service import ResumeParseService
+from app.services.resume_service import ResumeService
 
 router = APIRouter(prefix="/resume", tags=["简历"])
 
@@ -15,7 +16,7 @@ async def upload_resume(file: UploadFile = File(...)):
     user_id = RequestContext.user_id.get()
     content = await file.read()
 
-    service = ResumeParseService()
+    service = ResumeService()
     # 文件解析 + AI 结构化（不占数据库连接）
     parsed = await service.parse_and_extract(file.filename, content)
     # 短事务：只做数据库写入
@@ -23,3 +24,15 @@ async def upload_resume(file: UploadFile = File(...)):
     async for session in get_db():
         resume_id = await service.save_resume(session, user_id, file.filename, parsed)
     return {"resumeId": resume_id}
+
+
+class PolishParam(BaseModel):
+    content: list[str] = Field(..., description="待润色的简历段落文本数组")
+
+
+@router.post("/polish", summary="AI润色简历段落")
+async def polish_resume(param: PolishParam):
+    """对前端提交的简历段落做表达层面的润色（格式/错字/表达），不改内容，返回等长数组"""
+    service = ResumeService()
+    result = await service.polish_paragraphs(param.content)
+    return {"content": result}