205 lines
7.0 KiB
Python
205 lines
7.0 KiB
Python
# 导入必要的库
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import os # 用于文件路径操作
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import json # 用于JSON数据处理
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import xml.etree.ElementTree as ET # 用于解析XML文件
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from neo4j import GraphDatabase # Neo4j数据库驱动
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from Config.Config import * # 导入配置文件
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from Util.Neo4jExecutor import Neo4jExecutor
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# 动画学院
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WORKING_DIR = "./Topic/DongHua"
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def xml_to_json(xml_file):
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"""
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将GraphML格式的XML文件转换为JSON格式
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:param xml_file: 输入的XML文件路径
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:return: 包含节点和边的字典，或None(解析失败时)
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"""
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try:
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# 解析XML文件
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tree = ET.parse(xml_file)
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root = tree.getroot()
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# 打印根元素信息
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print(f"Root element: {root.tag}")
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print(f"Root attributes: {root.attrib}")
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# 初始化数据结构
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data = {"nodes": [], "edges": []}
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# 定义XML命名空间
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namespace = {"": "http://graphml.graphdrawing.org/xmlns"}
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# 提取所有节点数据
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for node in root.findall(".//node", namespace):
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node_data = {
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"id": node.get("id").strip('"'), # 节点ID
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"entity_type": node.find("./data[@key='d1']", namespace).text.strip('"')
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if node.find("./data[@key='d1']", namespace) is not None
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else "", # 实体类型
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"description": node.find("./data[@key='d2']", namespace).text
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if node.find("./data[@key='d2']", namespace) is not None
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else "", # 节点描述
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"source_id": node.find("./data[@key='d3']", namespace).text
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if node.find("./data[@key='d3']", namespace) is not None
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else "", # 源ID
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}
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data["nodes"].append(node_data)
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# 提取所有边数据
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for edge in root.findall(".//edge", namespace):
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edge_data = {
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"source": edge.get("source").strip('"'), # 源节点
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"target": edge.get("target").strip('"'), # 目标节点
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"weight": float(edge.find("./data[@key='d5']", namespace).text)
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if edge.find("./data[@key='d5']", namespace) is not None
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else 0.0, # 边权重
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"description": edge.find("./data[@key='d6']", namespace).text
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if edge.find("./data[@key='d6']", namespace) is not None
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else "", # 边描述
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"keywords": edge.find("./data[@key='d7']", namespace).text
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if edge.find("./data[@key='d7']", namespace) is not None
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else "", # 关键词
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"source_id": edge.find("./data[@key='d8']", namespace).text
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if edge.find("./data[@key='d8']", namespace) is not None
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else "", # 源ID
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}
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data["edges"].append(edge_data)
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# 打印找到的节点和边数量
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print(f"Found {len(data['nodes'])} nodes and {len(data['edges'])} edges")
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return data
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except ET.ParseError as e:
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print(f"Error parsing XML file: {e}")
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return None
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except Exception as e:
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print(f"An error occurred: {e}")
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return None
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def convert_xml_to_json(xml_path, output_path):
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"""
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将XML文件转换为JSON并保存输出
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:param xml_path: 输入XML文件路径
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:param output_path: 输出JSON文件路径
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:return: JSON数据或None(转换失败时)
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"""
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if not os.path.exists(xml_path):
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print(f"Error: File not found - {xml_path}")
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return None
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json_data = xml_to_json(xml_path)
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if json_data:
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with open(output_path, "w", encoding="utf-8") as f:
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json.dump(json_data, f, ensure_ascii=False, indent=2)
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print(f"JSON file created: {output_path}")
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return json_data
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else:
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print("Failed to create JSON data")
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return None
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def process_in_batches(tx, query, data, batch_size):
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"""
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批量处理数据并执行查询
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:param tx: Neo4j事务对象
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:param query: Cypher查询语句
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:param data: 要处理的数据
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:param batch_size: 每批处理的数据量
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"""
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for i in range(0, len(data), batch_size):
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batch = data[i: i + batch_size]
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tx.run(query, {"nodes": batch} if "nodes" in query else {"edges": batch})
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if __name__ == "__main__":
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# 创建Neo4jExecutor实例
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executor = Neo4jExecutor.create_default()
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executor.graph.run("MATCH (n) DETACH DELETE n")
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print("清库成功")
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# 文件路径设置
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xml_file = os.path.join(WORKING_DIR, "graph_chunk_entity_relation.graphml")
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json_file = os.path.join(WORKING_DIR, "graph_data.json")
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# 将XML转换为JSON
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json_data = convert_xml_to_json(xml_file, json_file)
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if json_data is None:
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exit(0)
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# 加载节点和边数据
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nodes = json_data.get("nodes", [])
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edges = json_data.get("edges", [])
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# Neo4j查询语句
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create_nodes_query = """
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UNWIND $nodes AS node
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MERGE (e:Entity {id: node.id})
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SET e.entity_type = node.entity_type,
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e.description = node.description,
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e.source_id = node.source_id,
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e.displayName = node.id
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REMOVE e:Entity
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WITH e, node
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CALL apoc.create.addLabels(e, [node.id]) YIELD node AS labeledNode
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RETURN count(*)
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"""
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create_edges_query = """
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UNWIND $edges AS edge
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MATCH (source {id: edge.source})
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MATCH (target {id: edge.target})
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WITH source, target, edge,
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CASE
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WHEN edge.keywords CONTAINS 'lead' THEN 'lead'
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WHEN edge.keywords CONTAINS 'participate' THEN 'participate'
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WHEN edge.keywords CONTAINS 'uses' THEN 'uses'
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WHEN edge.keywords CONTAINS 'located' THEN 'located'
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WHEN edge.keywords CONTAINS 'occurs' THEN 'occurs'
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ELSE REPLACE(SPLIT(edge.keywords, ',')[0], '"', '')
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END AS relType
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CALL apoc.create.relationship(source, relType, {
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weight: edge.weight,
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description: edge.description,
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keywords: edge.keywords,
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source_id: edge.source_id
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}, target) YIELD rel
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RETURN count(*)
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"""
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set_displayname_and_labels_query = """
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MATCH (n)
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SET n.displayName = n.id
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WITH n
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CALL apoc.create.setLabels(n, [n.entity_type]) YIELD node
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RETURN count(*)
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"""
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# 创建Neo4j驱动连接
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driver = GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USERNAME, NEO4J_PASSWORD))
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try:
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# 执行批量查询
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with driver.session() as session:
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# 批量插入节点
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session.execute_write(
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process_in_batches, create_nodes_query, nodes, BATCH_SIZE_NODES
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)
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# 批量插入边
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session.execute_write(
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process_in_batches, create_edges_query, edges, BATCH_SIZE_EDGES
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)
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# 设置显示名称和标签
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session.run(set_displayname_and_labels_query)
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except Exception as e:
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print(f"Error occurred: {e}")
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finally:
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# 关闭数据库连接
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driver.close()
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