QingLong/AI/Neo4j/K1_KnowledgeGraph.py

# -*- coding: utf-8 -*-
import hashlib
import json
import time
from typing import Iterator, Dict

from openai import OpenAI
from openai.types.chat import ChatCompletionChunk
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 _validate_ids(self, line: str) -> bool:
        """强化ID验证（严格过滤非法节点）"""
        # 调整正则表达式严格匹配格式
        found_ids = {
            'kp': set(re.findall(r'\b(kp_[a-f0-9]{6})\b', line.lower())),
            'ab': set(re.findall(r'\b(ab_[a-f0-9]{6})\b', line.lower()))
        }

        # 严格检查存在性（空集合视为有效）
        valid_kp = not found_ids['kp'] or all(kp in self.existing_knowledge for kp in found_ids['kp'])
        valid_ab = not found_ids['ab'] or all(ab in self.existing_ability for ab in found_ids['ab'])

        return valid_kp and valid_ab


    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 _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 _validate_cypher_structure(self, cypher: str) -> bool:
        """验证WITH子句存在性"""
        has_merge = re.search(r'\bMERGE\s*\(q:Question\b', cypher, re.IGNORECASE)
        has_with = re.search(r'\bWITH\s+q\b', cypher, re.IGNORECASE)
        return not has_merge or (has_merge and has_with)

    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]:
        """强化提示词限制"""
        # 生成现有ID列表的提示
        existing_kp_ids = '\n'.join([f"- {k}" for k in list(self.existing_knowledge.keys())[:5]])
        existing_ab_ids = '\n'.join([f"- {k}" for k in list(self.existing_ability.keys())[:5]])

        system_prompt = f'''
        将题目中涉及到的小学数学知识点、能力点进行总结，并且按照以下格式生成在neo4j-community-5.26.2上的语句：        
        重要限制条件（违反将导致执行失败）：
        1. 只输出cypher脚本，不要输出其它内容,也不要加代码块的起始终止符
        2. 禁止创建新节点（只能使用以下现有ID）
        3. 现有知识点ID列表：
        {existing_kp_ids}
        ...
        4. 现有能力点ID列表：
        {existing_ab_ids}
        ...
        5. 必须使用MATCH定位已有节点后才能建立关系

        生成格式示例（注意WITH子句）：
        MERGE (q:Question {{id: "{self.question_id}"}})
        SET q.content = "题目内容", 
            q.name = "前10字符"

        WITH q
        MATCH (kp1:KnowledgePoint {{id: "kp_3f5g6h"}})
        WHERE kp1 IS NOT NULL
        MERGE (q)-[:TESTS_KNOWLEDGE]->(kp1)
        '''

        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:
        # 新增过滤条件：禁止MERGE非Question节点
        if re.search(r'\bMERGE\s*\((?!q:Question)', cypher, re.IGNORECASE):
            print("⚠️ 检测到非法MERGE语句，已过滤")
            return ""

        # 新增过滤条件：验证所有MATCH的节点是否带ID
        for line in cypher.split('\n'):
            if 'MATCH' in line and not re.search(r'\{id:\s*".+?"\}', line):
                print(f"⚠️ 检测到无ID的MATCH语句: {line[:50]}")
                return ""

    def run(self) -> Tuple[bool, str, str]:
        """执行安全生成流程（修正返回三元组）"""
        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", ""  # 保持三元组格式

        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)  # 新增提取步骤
                print(f"\n\n✅ 生成完成！耗时 {int(time.time() - start_time)}秒")
                return True, full_content, cypher_script  # 返回三元组

            print("\n⚠️ 生成完成但未获取到有效内容")
            return False, "空内容", ""  # 修正为三元组

        except Exception as e:
            error_msg = str(e) if not isinstance(e, dict) else json.dumps(e)
            print(f"\n\n❌ 生成失败：{error_msg}")
            return False, error_msg, ""  # 保持三元组格式