126 lines
4.6 KiB
Python
126 lines
4.6 KiB
Python
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import json
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import logging
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import requests
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from Config.Config import OBS_AK, OBS_SERVER, OBS_SK, OBS_PREFIX, OBS_BUCKET, \
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GLM_BASE_URL, GLM_API_KEY, GLM_MODEL_NAME
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from Util.ObsUtil import ObsUploader
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logger = logging.getLogger(__name__)
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# 批量处理图片
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def batch_glm(output_dir, img_list):
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img_url_list = []
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for file_path in img_list:
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# 创建上传器实例
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uploader = ObsUploader(OBS_AK, OBS_SK, "https://" + OBS_SERVER)
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# 上传参数
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object_key = OBS_PREFIX + "/" + file_path
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# 执行上传
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success, result = uploader.upload_file(OBS_BUCKET, object_key, file_path)
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# 处理结果
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if success:
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logger.info(f'{file_path}上传成功!')
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# 获取上传文件的 URL
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file_url = f"https://{OBS_BUCKET}.{OBS_SERVER}/{object_key}"
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img_url_list.append(file_url)
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else:
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logger.error(f'{file_path}上传失败!')
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if 'errorCode' in result:
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logger.info(f'错误代码: {result["errorCode"]}')
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logger.info(f'错误信息: {result["errorMessage"]}')
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else:
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logger.error(f'错误信息: {result["error"]}')
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# 多张图片开始解析
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answer_content = ""
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for img_url in img_url_list:
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answer_content = answer_content + glm_single(img_url)
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# 保存结果到JSON文件
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qvq_result = f"{output_dir}/QvqResult.json"
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with open(qvq_result, "w", encoding='utf-8') as f:
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f.write(answer_content)
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return qvq_result
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def glm_single(img_url):
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url = GLM_BASE_URL
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headers = {
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"Authorization": "Bearer " + GLM_API_KEY,
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"Content-Type": "application/json"
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}
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prompt = """
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### 几何图形识别专家指令（输入：纯几何图形照片）
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**任务目标**
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精确提取图形中的几何元素及其空间关系，为GeoGebra重建建立数学模型
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## 一、坐标系建立规则（必须遵守）
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1. 原点设定：
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- 若存在明显顶点，选最左下角的点为原点(0,0)
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- 若图形对称，选对称中心为原点
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- 示例：原点O = 三角形ABC的顶点A
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2. 坐标轴定向：
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- 优先顺序：水平线段 > 垂直线段 > 最长线段
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- 具体规则：
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if 存在水平线段: 以该线段为x轴正方向
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elif 存在垂直结构: 以最左侧垂直线为y轴
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else: 以最长线段为基准轴
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## 二、元素列举
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1. 按点，线，三角形，四边形，梯形，平行四边形，矩形，正方形，圆等由简单到复杂的顺序列举所有图形
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2. 详细描述元素之间的关系，比如点D在线段AB上
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3. 详细描述元素之间的位置关系，比如D 在A点正上方，B在CD边的上方中间位置
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"""
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data = {
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"model": GLM_MODEL_NAME,
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"messages": [
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{
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"role": "user",
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# "content": "做水煮鱼一般用什么鱼"
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"content":
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[
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{
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"type": "text",
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"text": prompt
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},
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{
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"type": "image_url",
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"image_url": {
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"url": img_url
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}
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}
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]
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}
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],
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"stream": True # 启用流式调用
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}
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answer_content=''
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with requests.post(url, headers=headers, json=data, stream=True) as response:
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for chunk in response.iter_lines():
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if chunk:
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decoded = chunk.decode('utf-8')
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if decoded.startswith('[DONE]'):
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print("完成！")
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break
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try:
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decoded = decoded[5:]
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json_data = json.loads(decoded)
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content = json_data["choices"][0]["delta"]['content']
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if content and len(content) > 0:
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print(content, end="")
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answer_content=answer_content+"\n"+content
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except Exception as e:
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print(e)
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# print("=" * 20 + "完整思考过程" + "=" * 20 + "\n")
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# print(reasoning_content)
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# print("=" * 20 + "完整回复" + "=" * 20 + "\n")
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answer_content = answer_content.replace("```json", "")
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answer_content = answer_content.replace("```", "")
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return answer_content
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