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62 lines
2.4 KiB
62 lines
2.4 KiB
from py2neo import Graph
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from Config.Config import *
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def query_all_questions():
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# Neo4j连接配置
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neo4j_config = {
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"uri": NEO4J_URI, # 从Config导入
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"auth": NEO4J_AUTH # 从Config导入
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}
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# 初始化图数据库连接
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graph = Graph(**neo4j_config)
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try:
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# 获取所有试题ID
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question_ids = graph.run(
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"MATCH (q:Question) RETURN q.id AS question_id"
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).data()
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results = []
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# 遍历每个试题
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for record in question_ids:
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qid = record['question_id']
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# 修改查询部分
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data = graph.run("""
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MATCH (q:Question {id: $qid})
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OPTIONAL MATCH (q)-[:REQUIRES_KNOWLEDGE]->(kp:KnowledgePoint)
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OPTIONAL MATCH (q)-[:DEVELOPS_LITERACY]->(lp:LiteracyNode)
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RETURN
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q.content AS content,
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collect(DISTINCT {id: kp.id, name: kp.name}) AS knowledge_points,
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collect(DISTINCT {id: lp.value, title: lp.title}) AS literacy_points
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""", qid=qid).data()
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if data:
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result = {
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"question_id": qid,
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"content": data[0]['content'],
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"knowledge_points": data[0]['knowledge_points'],
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"literacy_points": data[0]['literacy_points']
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}
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results.append(result)
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# 增强版输出展示
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print(f"\n{'=' * 40} 题目详情 {'=' * 40}")
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print(f"📚 试题ID: {qid}")
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print(f"📝 内容全文: {result['content']}") # 新增完整内容输出
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print(f"🔍 内容摘要: {result['content'][:50]}...") # 保留摘要显示
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print(f"🧠 知识点: {[kp['name'] for kp in result['knowledge_points']]}")
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print(f"🆔 知识点ID: {[kp['id'] for kp in result['knowledge_points']]}")
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print(f"🌟 素养点: {[lp['title'] for lp in result['literacy_points']]}")
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print(f"🔢 素养点ID: {[lp['id'] for lp in result['literacy_points']]}")
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print('=' * 90)
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except Exception as e:
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print(f"❌ 查询失败: {str(e)}")
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if __name__ == '__main__':
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query_all_questions() |