dsProject/dsLightRag/Routes/ZuoWen.py

from fastapi import APIRouter, Request, HTTPException
import json
import logging

from Util import OcrUtil, LlmUtil
from sse_starlette.sse import EventSourceResponse

# 创建路由路由器
router = APIRouter(prefix="/api", tags=["作文批阅"])

# 配置日志
logger = logging.getLogger(__name__)

@router.post("/zuowen_chinese")
async def zuowen_chinese(request: Request):
    """
    批阅中文作文接口
    参数:
        grade_name: 年级名称 (如: 三年级, 四年级)
        image_url: 已上传的作文图片URL
    返回:
        SSE流式响应，包含作文识别和批阅结果
    """
    try:
        # 获取请求参数
        try:
            data = await request.json()
            grade_name = data.get("grade_name")
            image_url = data.get("image_url")
        except Exception:
            # 如果JSON解析失败，尝试从表单数据中获取
            form = await request.form()
            grade_name = form.get("grade_name")
            image_url = form.get("image_url")

        # 验证参数
        if not grade_name or not image_url:
            raise HTTPException(status_code=400, detail="缺少必要参数: grade_name 或 image_url")

        async def generate_zuowen_response():
            try:
                # 步骤1: OCR识别作文内容
                yield f"{json.dumps({'step': 'ocr', 'content': '开始识别作文内容...'}, ensure_ascii=False)}"
                content = OcrUtil.recognize_handwriting(image_url)
                yield f"{json.dumps({'step': 'ocr', 'content': content}, ensure_ascii=False)}"

                # 步骤2: 生成点评提示词
                query_text = f'我将提供一篇{grade_name}学生作文，请点评学生作文，并打分，满分30分。下面是作文内容：{content}'
                yield f"{json.dumps({'step': 'review', 'content': '开始生成作文点评...'}, ensure_ascii=False)}"

                # 步骤3: 异步调用LLM进行点评
                full_response = []
                async for chunk in LlmUtil.get_llm_response_async(query_text):
                    if chunk:
                        full_response.append(chunk)
                        yield f"{json.dumps({'step': 'review', 'content': chunk}, ensure_ascii=False)}"

                # 发送完成信号
                yield f"{json.dumps({'step': 'review', 'content': '作文点评完成', 'done': True}, ensure_ascii=False)}"
                yield f"DONE"
            except Exception as e:
                logger.error(f"作文批阅异常: {str(e)}")
                yield f"{json.dumps({'error': f'处理异常: {str(e)}'}, ensure_ascii=False)}"
                yield f"DONE"

        # 返回SSE响应
        return EventSourceResponse(generate_zuowen_response())
    except HTTPException as e:
        raise e
    except Exception as e:
        logger.error(f"接口异常: {str(e)}")
        raise HTTPException(status_code=500, detail=f"服务器内部错误: {str(e)}")


@router.post("/zuowen_english")
async def zuowen_english(request: Request):
    """
    批阅英文作文接口
    参数:
        grade_name: 年级名称 (如: Grade 3, Grade 4)
        image_url: 已上传的作文图片URL
    返回:
        SSE流式响应，包含作文识别和批阅结果
    """
    try:
        # 获取请求参数
        try:
            data = await request.json()
            grade_name = data.get("grade_name")
            image_url = data.get("image_url")
        except Exception:
            # 如果JSON解析失败，尝试从表单数据中获取
            form = await request.form()
            grade_name = form.get("grade_name")
            image_url = form.get("image_url")

        # 验证参数
        if not grade_name or not image_url:
            raise HTTPException(status_code=400, detail="缺少必要参数: grade_name 或 image_url")

        async def generate_zuowen_response():
            try:
                # 步骤1: OCR识别作文内容
                yield f"{json.dumps({'step': 'ocr', 'content': '开始识别英文作文内容...'}, ensure_ascii=False)}"
                content = OcrUtil.recognize_handwriting(image_url)
                yield f"{json.dumps({'step': 'ocr', 'content': content}, ensure_ascii=False)}"

                # 步骤2: 生成点评提示词
                query_text = f"I will provide an English composition from a {grade_name} student. Please evaluate the composition and give a score out of 30 points. Here is the composition content: {content}"
                yield f"{json.dumps({'step': 'review', 'content': '开始生成作文点评...'}, ensure_ascii=False)}"

                # 步骤3: 异步调用LLM进行点评
                full_response = []
                async for chunk in LlmUtil.get_llm_response_async(query_text):
                    if chunk:
                        full_response.append(chunk)
                        yield f"{json.dumps({'step': 'review', 'content': chunk}, ensure_ascii=False)}"

                # 发送完成信号
                yield f"{json.dumps({'step': 'review', 'content': '作文点评完成', 'done': True}, ensure_ascii=False)}"
                yield f"DONE"
            except Exception as e:
                logger.error(f"英文作文批阅异常: {str(e)}")
                yield f"{json.dumps({'error': f'处理异常: {str(e)}'}, ensure_ascii=False)}"
                yield f"DONE"

        # 返回SSE响应
        return EventSourceResponse(generate_zuowen_response())
    except HTTPException as e:
        raise e
    except Exception as e:
        logger.error(f"英文作文批阅接口异常: {str(e)}")
        raise HTTPException(status_code=500, detail=f"服务器内部错误: {str(e)}")