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from openai import OpenAI
try :
client = OpenAI (
# 若没有配置环境变量， ：
api_key = ' sk-f6da0c787eff4b0389e4ad03a35a911f ' ,
base_url = " https://dashscope.aliyuncs.com/compatible-mode/v1 " ,
)
# 读取md文件内容
with open ( " Res/2、识别出结果.md " , " r " , encoding = " utf-8 " ) as f :
text = f . read ( )
prompt = """
我将提供一份markdown格式的试卷， ：
1. 题目序号
2. 题目内容（自动识别并添加$或$$包裹数学公式）
3. 选项（如果有）
4. 答案
5. 解析
要求：
- 一道题一道题输出，不要使用表格
- 自动检测数学表达式并用$或$$正确包裹
- 确保公式中的特殊字符正确转义
- 除题目内容外，不要输出其它无关信息
内容如下：
"""
prompt + = text
completion = client . chat . completions . create (
model = " deepseek-v3 " ,
messages = [
{ " role " : " system " , " content " : " You are a helpful assistant. " } ,
{ " role " : " user " ,
" content " : prompt } ,
] ,
)
print ( completion . choices [ 0 ] . message . content )
# 将上面的返回内容写入到文件 3、整理后的结果.md 中
with open ( " Res/3、整理后的结果.md " , " w " , encoding = " utf-8 " ) as f :
f . write ( completion . choices [ 0 ] . message . content )
print ( " 保存成功！ " )
except Exception as e :
print ( f " 错误信息： { e } " )
print ( " 请参考文档： " )
