python 实现查询Neo4j多节点的多层关系

Python  /  管理员 发布于 7年前   317

需求：查询出满足3人及3案有关系的集合

# -*- coding: utf-8 -*-from py2neo import Graphimport psycopg2# 二维数组查找def find(target, array): for i, val in enumerate(array):  for j, temp in enumerate(val):   if temp == target:    return True;   return Falsegraph = Graph(host="192.168.3.186://7474", auth=("neo4j", "wabjtam123"))data = graph.run('match data=(p:anjian)-[:参与 *2..5]-(u:anjian) with p,collect( distinct u.AJBH) as ajbhs match (p:anjian)-[:参与 *1..5]-(c:xyr) with p,ajbhs, collect(distinct c.XYRBH) as xyrbh_list,(ajbhs+p.AJBH) as ajbh_list where size(xyrbh_list)>2 and size(ajbh_list)>2 return p.AJBH as ajbh,ajbh_list,xyrbh_list')aj = []xyr_result = []aj_result = []for node in data: ajbh = node.get('ajbh') ajbh_list = node.get('ajbh_list') xyrbh_list = node.get('xyrbh_list')  ajbh_list.append(ajbh)  ajbh_list = list(set(node.get('ajbh_list'))) xyrbh_list = list(set(node.get('xyrbh_list')))  flag = True if len(aj_result) > 0:  for i, val in enumerate(ajbh_list):    f = find(val, aj_result)       if f:    flag = False    break;  if flag:  if len(ajbh_list) > 2 and len(xyrbh_list) > 2:   aj.append(ajbh)          aj_result.append(ajbh_list)    xyr_result.append(xyrbh_list)         print('MATCH p=(:anjian{AJBH:"'+ajbh+'"})-[*]-() RETURN p LIMIT 25')   name = str(len(xyrbh_list)) + "人" + str(len(ajbh_list)) + "案"    print(name)print(len(aj_result))print(aj)print('----------------------------')print(aj_result)conn = psycopg2.connect(database="zfgfh", user="postgres", password="postgres", host="192.168.3.202", port="5432")cursor = conn.cursor() for ajbh in aj_result: for temp in ajbh:  insert_sql = "insert into test.gm (\"ajbh\") values ('%s')"  insert_sql = insert_sql % temp  print(insert_sql)  # 插入  cursor.execute(insert_sql)# 提交conn.commit() cursor.close() # 关闭Cursorconn.close() # 关闭数据库

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以上这篇python 实现查询Neo4j多节点的多层关系就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。