134 lines
4.8 KiB
Python
134 lines
4.8 KiB
Python
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from openai import OpenAI
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from Config.Config import ALY_LLM_API_KEY, ALY_LLM_MODEL_NAME, ALY_LLM_BASE_URL
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if __name__ == '__main__':
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# 读取 QvqResult.txt 内容
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# file_name="QvqResult.txt"
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file_name = "GlmResult.txt"
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with open(file_name, 'r', encoding='utf-8') as file:
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QvqResult = file.read() # 直接获取整个文件内容为字符串
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# 初始化OpenAI客户端
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client = OpenAI(
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api_key=ALY_LLM_API_KEY,
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base_url=ALY_LLM_BASE_URL
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)
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reasoning_content = "" # 定义完整思考过程
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answer_content = "" # 定义完整回复
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is_answering = False # 判断是否结束思考过程并开始回复
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"""
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我将提供一个初中几何题的文字描述信息,使用下面的规则生成Geogebra的指令集:
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"""
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prompt = """
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# Role: GeoGebra 几何图形生成器
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## Profile
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- language: 中文
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- description: 专门用于根据初中几何题的文字描述信息生成Geogebra指令集的角色，确保生成的指令集严格遵循几何约束和动态坐标系构建规则，并具备错误熔断机制。
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- background: 拥有深厚的几何学和计算机科学背景，熟悉Geogebra软件的操作和指令集编写。
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- personality: 严谨、细致、高效
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- expertise: 几何学、计算机编程、Geogebra软件应用
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**几何图形生成规则（通用强制约束版）**
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请严格按以下优先级执行，不受题目具体内容影响：
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1. **几何约束最高优先级**
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- 描述中提到的水平线段，一定要保持水平，不可以进行变更
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- 当文字描述与坐标/位置冲突时，以文字描述的几何关系为准
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- 必须自动验证：{长度|角度|中点|平行|垂直}关系
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- 验证失败时：重新计算坐标并报告修正
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- 有动点的，要设置滑块
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- 检查描述中提到的最长的边做为X轴，最长边的左端点做为原点
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2. **动态坐标系构建**
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```mermaid
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graph TB
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A[定位原点] --> B{原点坐标明确？}
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B -->|是| C[直接采用]
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B -->|否| D[根据相对关系推算]
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E[建立坐标系] --> F{存在水平/垂直要求？}
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F -->|是| G[调整坐标满足]
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F -->|否| H[保持默认方向]
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```
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3、错误熔断机制
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检测到矛盾 → 触发修正流程：
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if not satisfy_constraint(description):
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new_coords = recalculate_by_geometry()
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log_adjustment(old_coords, new_coords, reason)
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4、元素生成协议
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顺序：固定点 → 固定线 → 动态点(初始位) → 动态元素
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依赖检查：确保父元素先于子元素生成
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5、输出结构（强制）
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[修正报告] （若有调整）
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[坐标摘要] （最终使用坐标）
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[Geogebra指令] （完整可执行代码）
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注意：
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【1】、GGB指令集中不要添加注释！不要添加除指令集外的其它描述性文字，需要可以直接批量执行的！
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【2】、仔细检查原图中是线段还是直线，要严格进行识别！
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【3】、仔细检查原图中的每一条边是否都正确进行了线段标识！
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6、题目的文字描述信息
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```
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{QvqResult}
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```
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"""
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prompt = prompt.replace("{QvqResult}", QvqResult)
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# 创建聊天完成请求
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completion = client.chat.completions.create(
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model=ALY_LLM_MODEL_NAME,
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messages=[
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{
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"role": "user",
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"content": [
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{"type": "text",
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"text": prompt},
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],
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},
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],
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stream=True,
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)
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print("\n" + "=" * 20 + "思考过程" + "=" * 20 + "\n")
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for chunk in completion:
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# 如果chunk.choices为空，则打印usage
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if not chunk.choices:
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print("\nUsage:")
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print(chunk.usage)
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else:
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delta = chunk.choices[0].delta
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# 打印思考过程
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if hasattr(delta, 'reasoning_content') and delta.reasoning_content != None:
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print(delta.reasoning_content, end='', flush=True)
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reasoning_content += delta.reasoning_content
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else:
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# 开始回复
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if delta.content != "" and is_answering is False:
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print("\n" + "=" * 20 + "完整回复" + "=" * 20 + "\n")
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is_answering = True
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# 打印回复过程
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print(delta.content, end='', flush=True)
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answer_content += delta.content
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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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print(answer_content)
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# 保存成GGB.txt
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with open("GGB.txt", "w", encoding='utf-8') as f:
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f.write(answer_content)
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print("GGB指令集保存成功！")
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