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# -*- coding: utf-8 -*-
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import time
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from typing import Iterator, Tuple
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from openai import OpenAI
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from openai.types.chat import ChatCompletionChunk
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from Config import API_KEY, MODEL_R1, MODEL_URL
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class KnowledgeGraph:
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def __init__(self, shiti_content: str):
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self.shiti_content = shiti_content
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self.client = OpenAI(api_key=API_KEY, base_url=MODEL_URL)
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def _generate_stream(self) -> Iterator[ChatCompletionChunk]:
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system_prompt = '''回答以下内容:
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1. 这道题目有哪些知识点，哪些能力点
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2. 生成Neo4j 5.26.2的插入语句'''
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return self.client.chat.completions.create(
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model=MODEL_R1,
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messages=[
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": self.shiti_content}
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],
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stream=True,
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timeout=300
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)
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def run(self) -> Tuple[bool, str]:
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"""执行生成流程（返回状态和完整内容）"""
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start_time = time.time()
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spinner = ['⠋', '⠙', '⠹', '⠸', '⠼', '⠴', '⠦', '⠧', '⠇', '⠏']
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content_buffer = []
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try:
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print(f"🚀 开始生成知识点和能力点的总结和插入语句")
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stream = self._generate_stream()
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for idx, chunk in enumerate(stream):
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print(f"\r{spinner[idx % 10]} 生成中（{int(time.time() - start_time)}秒）", end="")
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if chunk.choices and chunk.choices[0].delta.content:
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content_chunk = chunk.choices[0].delta.content
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content_buffer.append(content_chunk)
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if len(content_buffer) == 1:
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print("\n\n📝 内容生成开始：")
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print(content_chunk, end="", flush=True)
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if content_buffer:
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full_content = ''.join(content_buffer)
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print(f"\n\n✅ 生成成功！耗时 {int(time.time() - start_time)}秒")
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print("\n================ 完整结果 ================")
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print(full_content)
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print("========================================")
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return True, full_content
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return False, ""
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except Exception as e:
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print(f"\n\n❌ 生成失败：{str(e)}")
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return False, str(e)
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if __name__ == '__main__':
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shiti_content = '''
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下面是一道小学三年级的数学题目，巧求周长：
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把7个完全相同的小长方形拼成如图的样子，已知每个小长方形的长是10厘米，则拼成的大长方形的周长是多少厘米？
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'''
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kg = KnowledgeGraph(shiti_content)
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success, result = kg.run() # 获取返回结果
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# 如果需要进一步处理结果
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if success:
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with open("result.txt", "w", encoding="utf-8") as f:
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f.write(result) |
