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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, Dict
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from py2neo import Graph
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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 *
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from K2_Neo4jExecutor import *
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class KnowledgeGraph:
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def __init__(self, content: str):
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self.content = content
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self.question_id = self._generate_question_id()
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self.graph = self._init_graph_connection()
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self.existing_knowledge = self._fetch_existing_nodes("KnowledgePoint")
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self.existing_ability = self._fetch_existing_nodes("AbilityPoint")
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self.client = OpenAI(api_key=MODEL_API_KEY, base_url=MODEL_API_URL)
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def _init_graph_connection(self) -> Graph:
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"""初始化并测试数据库连接"""
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try:
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graph = Graph(NEO4J_URI, auth=NEO4J_AUTH)
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graph.run("RETURN 1").data()
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print("✅ Neo4j连接成功")
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return graph
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except Exception as e:
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raise ConnectionError(f"❌ 数据库连接失败: {str(e)}")
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def _generate_question_id(self) -> str:
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"""生成题目唯一标识符"""
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return hashlib.md5(self.content.encode()).hexdigest()[:8]
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def _fetch_existing_nodes(self, label: str) -> Dict[str, str]:
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"""从Neo4j获取已有节点"""
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try:
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cypher = f"MATCH (n:{label}) RETURN n.id as id, n.name as name"
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result = self.graph.run(cypher).data()
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return {item['id']: item['name'] for item in result}
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except Exception as e:
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print(f"❌ 节点查询失败: {str(e)}")
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return {}
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def _generate_stream(self) -> Iterator[ChatCompletionChunk]:
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"""生成限制性提示词"""
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# 修改提示词中的Cypher示例部分
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system_prompt = f'''
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// 修改后的正确示例
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MERGE (q:Question {{id: "{self.question_id}"}})
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SET q.content = "题目内容摘要"
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// 必须添加WITH子句
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WITH q
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MATCH (kp:KnowledgePoint {{id: "KP_xxxxxx"}})
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MERGE (q)-[:TESTS_KNOWLEDGE {{weight: 0.8}}]->(kp)
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WITH q // 多个关系需要继续传递
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MATCH (ab:AbilityPoint {{id: "AB_xxxxxx"}})
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MERGE (q)-[:REQUIRES_ABILITY {{weight: 0.7}}]->(ab)
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'''
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return self.client.chat.completions.create(
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model=MODEL_NAME,
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messages=[
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": self.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 _format_node_list(self, nodes: Dict[str, str]) -> str:
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"""格式化节点列表"""
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if not nodes:
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return " （无相关节点）"
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sample = []
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for i, (k, v) in enumerate(nodes.items()):
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if i >= 5:
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sample.append(f" ...（共{len(nodes)}个，仅显示前5个）")
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break
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sample.append(f" - {k}: {v}")
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return '\n'.join(sample)
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def _extract_cypher(self, content: str) -> str:
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"""安全提取Cypher"""
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safe_blocks = []
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for block in re.findall(r"```(?:cypher)?\n(.*?)```", content, re.DOTALL):
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cleaned = self._sanitize_cypher(block)
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if cleaned:
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safe_blocks.append(cleaned)
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return ';\n\n'.join(safe_blocks) if safe_blocks else ""
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def _sanitize_cypher(self, cypher: str) -> str:
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"""消毒Cypher语句"""
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valid_lines = []
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for line in cypher.split('\n'):
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line = line.split('//')[0].strip()
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if not line:
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continue
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# 检查非法操作
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if re.search(r'\bCREATE\b', line, re.IGNORECASE):
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continue
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# 验证节点ID
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if not self._validate_ids(line):
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continue
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# 验证权重范围
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if not self._validate_weight(line):
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continue
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valid_lines.append(line)
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return '\n'.join(valid_lines) if valid_lines else ''
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def _validate_ids(self, line: str) -> bool:
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"""验证行内的所有ID"""
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kp_ids = {id_.upper() for id_ in re.findall(r'kp_[\da-f]{6}', line, re.IGNORECASE)}
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ab_ids = {id_.upper() for id_ in re.findall(r'ab_[\da-f]{6}', line, re.IGNORECASE)}
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valid_kp = all(kp in self.existing_knowledge for kp in kp_ids)
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valid_ab = all(ab in self.existing_ability for ab in ab_ids)
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return valid_kp and valid_ab
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def _validate_weight(self, line: str) -> bool:
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"""验证关系权重是否合法"""
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weight_match = re.search(r"weight\s*:\s*([0-9.]+)", line)
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if weight_match:
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try:
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weight = float(weight_match.group(1))
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return 0.0 <= weight <= 1.0
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except ValueError:
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return False
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return True # 没有weight属性时视为合法
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def _validate_cypher_structure(self, cypher: str) -> bool:
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"""验证WITH子句存在性"""
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has_merge = re.search(r'\bMERGE\s*\(q:Question\b', cypher, re.IGNORECASE)
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has_with = re.search(r'\bWITH\s+q\b', cypher, re.IGNORECASE)
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return not has_merge or (has_merge and has_with)
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def run(self) -> Tuple[bool, str, str]:
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"""执行安全生成流程"""
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if not self.existing_knowledge or not self.existing_ability:
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print("❌ 知识库或能力点为空，请检查数据库")
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return False, "节点数据为空", ""
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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：{len(self.existing_knowledge)}个，能力点：{len(self.existing_ability)}个）")
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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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cypher_script = self._extract_cypher(full_content)
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print(f"\n\n✅ 生成完成！耗时 {int(time.time() - start_time)}秒")
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print("\n================ 安全Cypher ===============")
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print(cypher_script if cypher_script else "未通过安全检查")
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print("==========================================")
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return True, full_content, cypher_script
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print("\n⚠️ 生成完成但未获取到有效内容")
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return False, "空内容", ""
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# 修改run方法中的异常处理
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except Exception as e:
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# 原错误代码
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# print(f"\n\n❌ 生成失败：{str(e)}")
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# 修正后的代码
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error_msg = str(e) if not isinstance(e, dict) else json.dumps(e)
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print(f"\n\n❌ 生成失败：{error_msg}")
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return False, error_msg, ""
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if __name__ == '__main__':
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# 准备执行
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executor = K2_Neo4jExecutor(
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uri=NEO4J_URI,
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auth=NEO4J_AUTH
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)
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# 测试用例
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test_content = '''
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题目：一个长方体的长是8厘米，宽是5厘米，高是3厘米，求它的表面积是多少平方厘米？
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'''
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try:
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kg = KnowledgeGraph(test_content)
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success, result, cypher = kg.run()
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if success and cypher:
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res = executor.execute_cypher_text(cypher)
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print("\n\n执行结果：" + res)
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except Exception as e:
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print(f"程序初始化失败: {str(e)}")
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