70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
import logging
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from fastapi import APIRouter, Request, HTTPException
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from Util.FormulaRecognizer import FormulaRecognizer
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from Util.ShiTiRecognizer import ShiTiRecognizer
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# 创建路由路由器
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router = APIRouter(prefix="/api", tags=["教育场景识别"])
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# 配置日志
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logger = logging.getLogger(__name__)
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@router.post("/recognize-formula")
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async def recognize_formula(request: Request):
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"""
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公式识别接口
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参数:
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image_url: 图片URL
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返回:
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JSON响应，包含公式识别结果
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"""
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try:
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# 获取请求参数
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data = await request.json()
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image_url = data.get("image_url")
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# 验证参数
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if not image_url:
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raise HTTPException(status_code=400, detail="缺少必要参数: image_url")
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# 调用公式识别器
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recognizer = FormulaRecognizer()
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result = recognizer.recognize_formula(image_url)
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return result
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except HTTPException as e:
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raise e
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except Exception as e:
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logger.error(f"公式识别接口异常: {str(e)}")
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raise HTTPException(status_code=500, detail=f"服务器内部错误: {str(e)}")
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@router.post("/recognize-question")
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async def recognize_question(request: Request):
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"""
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试题识别接口
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参数:
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image_url: 图片URL
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返回:
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JSON响应，包含试题识别结果
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"""
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try:
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# 获取请求参数
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data = await request.json()
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image_url = data.get("image_url")
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# 验证参数
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if not image_url:
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raise HTTPException(status_code=400, detail="缺少必要参数: image_url")
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# 调用试题识别器
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recognizer = ShiTiRecognizer()
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result = recognizer.recognize_question(image_url)
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return result
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except HTTPException as e:
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raise e
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except Exception as e:
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logger.error(f"试题识别接口异常: {str(e)}")
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raise HTTPException(status_code=500, detail=f"服务器内部错误: {str(e)}") |