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# -*- coding: utf-8 -*-
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import re
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import time
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import hashlib
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from typing import Iterator, Tuple
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from openai import OpenAI
from openai.types.chat import ChatCompletionChunk
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from Config import *
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class KnowledgeGraph:
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def __init__(self, shiti_content: str):
self.shiti_content = shiti_content
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self.client = OpenAI(api_key=MODEL_API_KEY, base_url=MODEL_API_URL)
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self.question_id = self._generate_question_id()
def _generate_question_id(self) -> str:
"""生成题目唯一标识符"""
return hashlib.md5(self.shiti_content.encode()).hexdigest()[:8]
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def _generate_stream(self) -> Iterator[ChatCompletionChunk]:
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"""流式生成内容优化约束和MERGE"""
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system_prompt = f'''
总结本题有哪些知识点和能力点
将总结出的知识点能力点等信息按以下要求生成Neo4j 5.26+的Cypher语句
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1. 必须包含约束创建
CREATE CONSTRAINT IF NOT EXISTS FOR (kp:KnowledgePoint) REQUIRE kp.id IS UNIQUE;
CREATE CONSTRAINT IF NOT EXISTS FOR (ab:AbilityPoint) REQUIRE ab.id IS UNIQUE;
2. 节点使用MERGE并包含唯一ID
// 知识点节点
MERGE (kp:KnowledgePoint {{id: "KP_101"}})
SET kp.name = "长方形周长计算",
kp.level = "小学"
// 题目节点使用生成的ID{self.question_id}
MERGE (q:Question {{id: "{self.question_id}"}})
SET q.content = "巧求周长7个相同小长方形拼图求周长",
q.difficulty = 3
3. 关系基于已存在节点
MATCH (q:Question {{id: "{self.question_id}"}}), (kp:KnowledgePoint {{id: "KP_101"}})
MERGE (q)-[r:TESTS_KNOWLEDGE]->(kp)
SET r.weight = 0.8'''
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return self.client.chat.completions.create(
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model=MODEL_NAME,
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messages=[
{"role": "system", "content": system_prompt},
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{"role": "user", "content": self.shiti_content}
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],
stream=True,
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timeout=300
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)
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def _extract_cypher(self, content: str) -> str:
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"""增强的Cypher提取处理多代码块"""
cypher_blocks = []
# 匹配所有cypher代码块包含语言声明
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pattern = r"```(?:cypher)?\n(.*?)```"
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for block in re.findall(pattern, content, re.DOTALL):
# 清理注释和空行
cleaned = [
line.split('//')[0].strip()
for line in block.split('\n')
if line.strip() and not line.strip().startswith('//')
]
if cleaned:
cypher_blocks.append('\n'.join(cleaned))
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return ';\n\n'.join(cypher_blocks)
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def run(self) -> Tuple[bool, str, str]:
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"""执行生成流程(确保所有路径都有返回值)"""
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start_time = time.time()
spinner = ['', '', '', '', '', '', '', '', '', '']
content_buffer = []
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cypher_script = ""
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try:
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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# 添加流数据检查
if not stream:
print("\n❌ 生成失败:无法获取生成流")
return False, "生成流获取失败", ""
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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:
content_chunk = chunk.choices[0].delta.content
content_buffer.append(content_chunk)
if len(content_buffer) == 1:
print("\n\n📝 内容生成开始:")
print(content_chunk, end="", flush=True)
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# 确保最终返回
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if content_buffer:
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full_content = ''.join(content_buffer)
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cypher_script = self._extract_cypher(full_content)
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print(f"\n\n✅ 生成成功!耗时 {int(time.time() - start_time)}")
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print("\n================ 完整结果 ================")
print(full_content)
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print("\n================ Cypher语句 ===============")
print(cypher_script if cypher_script else "未检测到Cypher语句")
print("==========================================")
return True, full_content, cypher_script
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# 添加空内容处理
print("\n⚠️ 生成完成但未获取到有效内容")
return False, "空内容", ""
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except Exception as e:
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
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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kg = KnowledgeGraph(shiti_content)
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success, result, cypher = kg.run()
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if success and cypher:
with open("knowledge_graph.cypher", "w", encoding="utf-8") as f:
f.write(cypher)
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print(f"\nCypher语句已保存至 knowledge_graph.cypher (题目ID: {kg.question_id})")