QingLong/AI/Neo4j/K1_KnowledgeGraph.py

# -*- coding: utf-8 -*-
import re
import time
import hashlib
from typing import Iterator, Tuple, Dict
from py2neo import Graph
from openai import OpenAI
from openai.types.chat import ChatCompletionChunk
from Config import *
from K2_Neo4jExecutor import *


class KnowledgeGraph:
    def __init__(self, content: str):
        self.content = content
        self.question_id = self._generate_question_id()
        self.graph = self._init_graph_connection()
        self.existing_knowledge = self._fetch_existing_nodes("KnowledgePoint")
        self.existing_ability = self._fetch_existing_nodes("AbilityPoint")
        self.client = OpenAI(api_key=MODEL_API_KEY, base_url=MODEL_API_URL)

    def _init_graph_connection(self) -> Graph:
        """初始化并测试数据库连接"""
        try:
            graph = Graph(NEO4J_URI, auth=NEO4J_AUTH)
            graph.run("RETURN 1").data()
            print("✅ Neo4j连接成功")
            return graph
        except Exception as e:
            raise ConnectionError(f"❌ 数据库连接失败: {str(e)}")

    def _generate_question_id(self) -> str:
        """生成题目唯一标识符"""
        return hashlib.md5(self.content.encode()).hexdigest()[:8]

    def _fetch_existing_nodes(self, label: str) -> Dict[str, str]:
        """从Neo4j获取已有节点"""
        try:
            cypher = f"MATCH (n:{label}) RETURN n.id as id, n.name as name"
            result = self.graph.run(cypher).data()
            return {item['id']: item['name'] for item in result}
        except Exception as e:
            print(f"❌ 节点查询失败: {str(e)}")
            return {}

    def _generate_stream(self) -> Iterator[ChatCompletionChunk]:
        """生成限制性提示词"""
        system_prompt = f'''# 严格生成规则
1. 仅允许使用以下预注册节点：
   - 知识点列表（共{len(self.existing_knowledge)}个）：
{self._format_node_list(self.existing_knowledge)}
   - 能力点列表（共{len(self.existing_ability)}个）： 
{self._format_node_list(self.existing_ability)}

2. 必须遵守的Cypher模式：
MERGE (q:Question {{id: "{self.question_id}"}})
SET q.content = "题目内容摘要"

WITH q
MATCH (kp:KnowledgePoint {{id: "KP_xxxxxx"}})
MERGE (q)-[:TESTS_KNOWLEDGE {{weight: 0.8}}]->(kp)

MATCH (ab:AbilityPoint {{id: "AB_xxxxxx"}})
MERGE (q)-[:REQUIRES_ABILITY {{weight: 0.7}}]->(ab)

3. 绝对禁止：
- 使用CREATE创建新节点
- 修改已有节点属性
- 使用未注册的ID'''

        return self.client.chat.completions.create(
            model=MODEL_NAME,
            messages=[
                {"role": "system", "content": system_prompt},
                {"role": "user", "content": self.content}
            ],
            stream=True,
            timeout=300
        )

    def _format_node_list(self, nodes: Dict[str, str]) -> str:
        """格式化节点列表"""
        if not nodes:
            return "     （无相关节点）"

        sample = []
        for i, (k, v) in enumerate(nodes.items()):
            if i >= 5:
                sample.append(f"     ...（共{len(nodes)}个，仅显示前5个）")
                break
            sample.append(f"     - {k}: {v}")
        return '\n'.join(sample)

    def _extract_cypher(self, content: str) -> str:
        """安全提取Cypher"""
        safe_blocks = []
        for block in re.findall(r"```(?:cypher)?\n(.*?)```", content, re.DOTALL):
            cleaned = self._sanitize_cypher(block)
            if cleaned:
                safe_blocks.append(cleaned)
        return ';\n\n'.join(safe_blocks) if safe_blocks else ""

    def _sanitize_cypher(self, cypher: str) -> str:
        """消毒Cypher语句"""
        valid_lines = []
        for line in cypher.split('\n'):
            line = line.split('//')[0].strip()
            if not line:
                continue

            # 检查非法操作
            if re.search(r'\bCREATE\b', line, re.IGNORECASE):
                continue

            # 验证节点ID
            if not self._validate_ids(line):
                continue

            # 验证权重范围
            if not self._validate_weight(line):
                continue

            valid_lines.append(line)

        return '\n'.join(valid_lines) if valid_lines else ''

    def _validate_ids(self, line: str) -> bool:
        """验证行内的所有ID"""
        kp_ids = {id_.upper() for id_ in re.findall(r'kp_[\da-f]{6}', line, re.IGNORECASE)}
        ab_ids = {id_.upper() for id_ in re.findall(r'ab_[\da-f]{6}', line, re.IGNORECASE)}

        valid_kp = all(kp in self.existing_knowledge for kp in kp_ids)
        valid_ab = all(ab in self.existing_ability for ab in ab_ids)

        return valid_kp and valid_ab

    def _validate_weight(self, line: str) -> bool:
        """验证关系权重是否合法"""
        weight_match = re.search(r"weight\s*:\s*([0-9.]+)", line)
        if weight_match:
            try:
                weight = float(weight_match.group(1))
                return 0.0 <= weight <= 1.0
            except ValueError:
                return False
        return True  # 没有weight属性时视为合法

    def run(self) -> Tuple[bool, str, str]:
        """执行安全生成流程"""
        if not self.existing_knowledge or not self.existing_ability:
            print("❌ 知识库或能力点为空，请检查数据库")
            return False, "节点数据为空", ""

        start_time = time.time()
        spinner = ['⠋', '⠙', '⠹', '⠸', '⠼', '⠴', '⠦', '⠧', '⠇', '⠏']
        content_buffer = []

        try:
            print(f"🚀 开始生成（知识点：{len(self.existing_knowledge)}个，能力点：{len(self.existing_ability)}个）")
            stream = self._generate_stream()

            for idx, chunk in enumerate(stream):
                print(f"\r{spinner[idx % 10]} 生成中（{int(time.time() - start_time)}秒）", end="")

                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)

            if content_buffer:
                full_content = ''.join(content_buffer)
                cypher_script = self._extract_cypher(full_content)

                print(f"\n\n✅ 生成完成！耗时 {int(time.time() - start_time)}秒")
                print("\n================ 安全Cypher ===============")
                print(cypher_script if cypher_script else "未通过安全检查")
                print("==========================================")
                return True, full_content, cypher_script

            print("\n⚠️ 生成完成但未获取到有效内容")
            return False, "空内容", ""

        except Exception as e:
            print(f"\n\n❌ 生成失败：{str(e)}")
            return False, str(e), ""


if __name__ == '__main__':
    # 准备执行
    executor = K2_Neo4jExecutor(
        uri=NEO4J_URI,
        auth=NEO4J_AUTH
    )

    # 测试用例
    test_content = '''
    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？
    '''
    try:
        kg = KnowledgeGraph(test_content)
        success, result, cypher = kg.run()

        if success and cypher:
            res = executor.execute_cypher_text(cypher)
            print("\n\n执行结果：" + res)
    except Exception as e:
        print(f"程序初始化失败: {str(e)}")