from openai import OpenAI
from utils.image_utils import encode_image

# 初始化OpenAI客户端
client = OpenAI(
    api_key="sk-f6da0c787eff4b0389e4ad03a35a911f",
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
)

base64_image = encode_image(r"D:\ocr\QQ截图20250814093022.jpg")

reasoning_content = ""  # 定义完整思考过程
answer_content = ""  # 定义完整回复
is_answering = False  # 判断是否结束思考过程并开始回复

prompt = """
你是一个初中数学图片的描述专家，请将图片中的内容转换为文本。
1、注意数学公式需要用latex格式输出。注意只输出文本内容，不要输出任何解释。
2、如果图片中有图形，请根据题干对图形进行描述，只要描述不需要任何解释。
3、如果图片中是坐标系，一定要说明抛物线的开口和抛物线经过了几个象限。
4、要以markdown格式输出，注意latex格式两边要加$
输出格式为
【题干】
【图形描述】
"""

# 创建聊天完成请求
completion = client.chat.completions.create(
    model="qvq-max-latest",  # 此处以 qvq-max 为例，可按需更换模型名称
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        # "url": "https://dsideal.obs.cn-north-1.myhuaweicloud.com/wb/img10.jpg"
                        'url': f'data:image/jpeg;base64,{base64_image}'
                    },
                },
                {"type": "text",
                 "text": prompt},
            ],
        },
    ],
    stream=True,
)

print("\n" + "=" * 20 + "思考过程" + "=" * 20 + "\n")

for chunk in completion:
    # 如果chunk.choices为空，则打印usage
    if not chunk.choices:
        print("\nUsage:")
        print(chunk.usage)
    else:
        delta = chunk.choices[0].delta
        # 打印思考过程
        if hasattr(delta, 'reasoning_content') and delta.reasoning_content != None:
            print(delta.reasoning_content, end='', flush=True)
            reasoning_content += delta.reasoning_content
        else:
            # 开始回复
            if delta.content != "" and is_answering is False:
                print("\n" + "=" * 20 + "完整回复" + "=" * 20 + "\n")
                is_answering = True
            # 打印回复过程
            print(delta.content, end='', flush=True)
            answer_content += delta.content

# print("=" * 20 + "完整思考过程" + "=" * 20 + "\n")
# print(reasoning_content)
# print("=" * 20 + "完整回复" + "=" * 20 + "\n")
# 保存成QvqResult.txt
with open("QvqResult.txt", "w", encoding='utf-8') as f:
    f.write(answer_content)
print("试题解析文本保存成功！")