'commit'

5 months ago · 4580388489
parent 8f7e40b603
commit 4580388489
12 changed files with 152 additions and 365 deletions
--- a/AI/Neo4j/Backup/K1_KnowledgeGraph.py
+++ b/AI/Neo4j/Backup/K1_KnowledgeGraph.py
--- a/AI/Neo4j/Backup/K2_Neo4jExecutor.py
+++ b/AI/Neo4j/Backup/K2_Neo4jExecutor.py
--- a/AI/Neo4j/Backup/K3_Start.py
+++ b/AI/Neo4j/Backup/K3_Start.py
@ -36,7 +36,7 @@ if __name__ == '__main__':
    executor.execute_cypher_text(init_script)

    # 分段读入题目
-    question_blocks = split_questions('ShiTi.md')
+    question_blocks = split_questions('../ShiTi.md')

    # 验证分割结果
    for i, block in enumerate(question_blocks, 1):
--- a/AI/Neo4j/Backup/pycache/K2_Neo4jExecutor.cpython-310.pyc
+++ b/AI/Neo4j/Backup/pycache/K2_Neo4jExecutor.cpython-310.pyc
--- a/AI/Neo4j/Backup/import.cypher
+++ b/AI/Neo4j/Backup/import.cypher
--- a/AI/Neo4j/Backup/优化.cypher
+++ b/AI/Neo4j/Backup/优化.cypher
--- a/AI/Neo4j/Backup/小学数学一至三年级.cypher
+++ b/AI/Neo4j/Backup/小学数学一至三年级.cypher
--- a/AI/Neo4j/Backup/小学数学四至六年级.cypher
+++ b/AI/Neo4j/Backup/小学数学四至六年级.cypher
--- a/AI/Neo4j/InputShiTi.py
+++ b/AI/Neo4j/InputShiTi.py
@ -0,0 +1,148 @@
+# -*- coding: utf-8 -*-
+import re
+import hashlib
+from py2neo import Graph
+from openai import OpenAI
+from Config import *
+
+
+class KnowledgeGraph:
+    def __init__(self, content: str):
+        self.content = content
+        self.question_id = hashlib.md5(content.encode()).hexdigest()[:8]
+        self.graph = Graph(NEO4J_URI, auth=NEO4J_AUTH)
+        self.knowledge_points = self._get_knowledge_points()
+        self.client = OpenAI(api_key=MODEL_API_KEY, base_url=MODEL_API_URL)
+
+    def _get_knowledge_points(self) -> dict:
+        """修复字段名称错误"""
+        try:
+            # 确保返回字段与节点属性名称匹配
+            return {row['n.id'].lower(): row['n.name']  # 修改为n.id
+                    for row in self.graph.run("MATCH (n:KnowledgePoint) RETURN n.id, n.name")}
+        except Exception as e:
+            print(f"获取知识点失败：", str(e))
+            return {}
+
+    def _make_prompt(self) -> str:
+        """生成知识点识别专用提示词"""
+        example_ids = list(self.knowledge_points.keys())[:5]
+        example_names = [self.knowledge_points[k] for k in example_ids]
+
+        return f"""你是一个数学专家，请分析题目考查的知识点，严格：
+1. 只使用以下存在的知识点（格式：ID:名称）：
+{", ".join([f"{k}:{v}" for k, v in zip(example_ids, example_names)])}...
+共{len(self.knowledge_points)}个可用知识点
+
+2. 按此格式生成Cypher：
+MERGE (q:Question {{id: "{self.question_id}"}})
+SET q.content = "题目内容"
+WITH q
+MATCH (kp:KnowledgePoint {{id: "知识点ID"}})
+MERGE (q)-[:TESTS_KNOWLEDGE]->(kp)"""
+
+    def _clean_cypher(self, code: str) -> str:
+        """修复WITH语句顺序问题"""
+        safe = []
+        cypher_block = re.findall(r"```(?:cypher)?\n(.*?)```", code, re.DOTALL)
+        if not cypher_block:
+            return ""
+
+        # 强制先创建Question节点
+        has_question = False
+        for line in cypher_block[0].split('\n'):
+            line = line.split('//')[0].strip()
+            if not line:
+                continue
+
+            # 确保Question节点最先创建
+            if 'MERGE (q:Question' in line:
+                has_question = True
+                safe.insert(0, line)  # 确保这行在最前面
+                continue
+
+            # 安全过滤
+            if 'CREATE' in line.upper():
+                continue
+
+            # 自动补全WITH语句（仅在Question创建之后）
+            if has_question and 'MERGE (q)-[:TESTS_KNOWLEDGE]' in line and not any('WITH q' in l for l in safe):
+                safe.append("WITH q")
+
+            # ID存在性验证
+            if 'MATCH (kp:KnowledgePoint' in line:
+                kp_id = re.findall(r"id: ['\"](.*?)['\"]", line)
+                if kp_id and kp_id[0] not in self.knowledge_points:
+                    continue
+
+            safe.append(line)
+
+        # 补充必要WITH语句
+        if has_question and not any(line.startswith('WITH q') for line in safe):
+            safe.insert(1, "WITH q")  # 在创建Question之后立即添加
+
+        return '\n'.join([line for line in safe if line])
+
+    def run(self) -> str:
+        """执行知识点关联流程"""
+        try:
+            response = self.client.chat.completions.create(
+                model=MODEL_NAME,
+                messages=[
+                    {
+                        "role": "system",
+                        "content": self._make_prompt()
+                    },
+                    {
+                        "role": "user",
+                        "content": f"题目内容：{self.content}\n请分析考查的知识点，只返回Cypher代码"
+                    }
+                ]
+            )
+
+            raw_cypher = response.choices[0].message.content
+            cleaned_cypher = self._clean_cypher(raw_cypher)
+
+            if cleaned_cypher:
+                print("验证通过的Cypher：\n", cleaned_cypher)
+                return cleaned_cypher
+            return ""
+
+        except Exception as e:
+            print("知识点分析失败：", str(e))
+            return ""
+
+def query_related_knowledge(self):
+    """查询题目关联的知识点"""
+    cypher = f"""
+    MATCH (q:Question {{id: "{self.question_id}"}})-[:TESTS_KNOWLEDGE]->(kp)
+    RETURN kp.id AS knowledge_id, kp.name AS knowledge_name
+    """
+    try:
+        result = self.graph.run(cypher).data()
+        if result:
+            print(f"题目关联的知识点（{self.question_id}）：")
+            for row in result:
+                print(f"- {row['knowledge_name']} (ID: {row['knowledge_id']})")
+        else:
+            print("该题目尚未关联知识点")
+        return result
+    except Exception as e:
+        print("查询失败：", str(e))
+        return []
+
+# 测试用例
+if __name__ == '__main__':
+    test_case = """【时间问题】甲乙两车从相距240公里的两地同时出发相向而行，甲车时速60公里，乙车时速40公里，几小时后相遇？"""
+
+    test_case = """【时间问题】甲乙两车从相距240公里的两地同时出发相向而行..."""
+
+    kg = KnowledgeGraph(test_case)
+    cypher = kg.run()
+
+    if cypher:
+        kg.graph.run(cypher)
+        print("执行成功！关联知识点：")
+        kg.query_related_knowledge()  # 新增查询
+    else:
+        print("未生成有效Cypher")
--- a/AI/Neo4j/ReadXiaoXueMath.py
+++ b/AI/Neo4j/ReadXiaoXueMath.py
@ -1,6 +1,8 @@
 import json

-from K2_Neo4jExecutor import *
+from Neo4j.Backup.K2_Neo4jExecutor import *
+from Neo4j.Util import clear
+

 def json_to_cypher(data):
    """将知识体系JSON转换为Cypher插入脚本"""
--- a/AI/Neo4j/XiaoXueMath2.json
+++ b/AI/Neo4j/XiaoXueMath2.json
@ -1,363 +0,0 @@
-{
-  "status": 200,
-  "data": {
-    "tree": [
-      {
-        "children": [
-          {
-            "children": [
-              {
-                "isLeaf": true,
-                "title": "整数的认识",
-                "value": "297B32CE384244A9A4B1560F7B788D6A",
-                "key": "297B32CE384244A9A4B1560F7B788D6A",
-                "parentValue": "B978FCBCEE0347B5AA8DB8E96A7B12F3"
-              },
-              {
-                "isLeaf": true,
-                "title": "奇数与偶数的初步认识",
-                "value": "E00DED49C41A4A9A8892026BD713E7D6",
-                "key": "E00DED49C41A4A9A8892026BD713E7D6",
-                "parentValue": "B978FCBCEE0347B5AA8DB8E96A7B12F3"
-              },
-              {
-                "isLeaf": true,
-                "title": "奇偶性问题",
-                "value": "FD14220D3B1941B8A1F9B5E70731593E",
-                "key": "FD14220D3B1941B8A1F9B5E70731593E",
-                "parentValue": "B978FCBCEE0347B5AA8DB8E96A7B12F3"
-              },
-              {
-                "isLeaf": true,
-                "title": "十进制计数法",
-                "value": "00F3E0C387C6493A9215547B4C9824EE",
-                "key": "00F3E0C387C6493A9215547B4C9824EE",
-                "parentValue": "B978FCBCEE0347B5AA8DB8E96A7B12F3"
-              },
-              {
-                "isLeaf": true,
-                "title": "倒数的认识",
-                "value": "18ABC778EE82483486EE501882CF4945",
-                "key": "18ABC778EE82483486EE501882CF4945",
-                "parentValue": "B978FCBCEE0347B5AA8DB8E96A7B12F3"
-              },
-              {
-                "isLeaf": true,
-                "title": "整数的读法和写法",
-                "value": "1C8DE94C3B194D14A2D195781E471640",
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-              },
-              {
-                "isLeaf": true,
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-                "value": "ED4C27B6E4164D1186D47A1388D42C13",
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-                "parentValue": "B978FCBCEE0347B5AA8DB8E96A7B12F3"
-              },
-              {
-                "isLeaf": true,
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-              {
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--- a/AI/Neo4j/pycache/K1_KnowledgeGraph.cpython-310.pyc
+++ b/AI/Neo4j/pycache/K1_KnowledgeGraph.cpython-310.pyc