目录
- 爬取信息说明
- 创建英雄类型节点rtTvtX
- 创建英雄信息节点
- 获取英雄信息
- 保存英雄信息
- 完整代码
- 实现效果
爬取信息说明
- 英雄名称
- 英雄类型
- 英雄包含的所有皮肤名称
创建英雄类型节点
王者荣耀官方给出的英雄类型是以下几种:
直接准备好英雄类型词典
hero_type_dict = [ '战士', '法师', '坦克', '刺客', '射手', '辅助' ]
添加到图数据库中
def create_hero_type_node(): for hero_type in hero_type_dict: cypher = "MERGE (n:HeroType{label: '" + hero_type + "'})" graph.run(cypher).data() print('创建英雄类型节点成功')
创建英雄信息节点
获取英雄信息
def get_hero_info_list(): # 英雄的全部python信息的url hero_info = 'https://pvp.qq.com/web201605/js/herolist.json编程' # 获取英雄的全部信息 response = requests.get(hero_info) # 转为字典格式 hero_info_dict = json.loads(response.text) return hero_info_dict
打印的内容如下:
这里需要注意的是,部分英雄包含两个英雄类别。
保存英雄信息
def create_hero_node(): hero_info_dict = get_hero_info_list() # 1战士 2法师 3坦克 4刺客 5射手 6辅助 for hero in hero_info_dict: # print(hero) # print(str(hero.get('cname')) + '===' + str(hero_type[hero.get('hero_type')-1]) + '===' + str(hero.get('skin_name'))) hero_type_list = [str(hero_type_dict[hero.get('hero_type') - 1])] if '|' in str(hero.get('skin_name')): skin_name_list = hero.get('skin_name').split('|') else: skin_name_list = [hero.get('skin_name')] if 'hero_type2' in str(hero): hero_type_list.append(str(hero_type_dict[hero.get('hero_type2') - 1])) # 创建英雄信息节点 hero_cypher = "MERGE (n:Hero{label: '" + str(hero.get('cname')) + "'})" graph.run(hero_cypher).data() # 创建英雄->类型关系 for hero_type in hero_type_list: cypher_rel = "MATCH(h:Hero{label:'" + str( hero.get('cname')) + "'}),(t:HeroType{label:'" + hero_type + "'}) MERGE (h)-[r:类型]->(t) RETURN h,r,t" graph.run(cypher_rel).data() for skin_name in skin_name_list: # 创建英雄皮肤节点 cypher = "MERGE (n:Skin{label:'" + skin_name + "'})" graph.run(cypher).data() # 创建英雄->皮肤关系 cypher_rel = "MATCH(h:Hero{label:'" + str( hero.get('cname')) + "'}),(s:Skin{label:'" + skin_name + "'}) MERGE (h)-[r:皮肤]->(s) RETURN h,r,s" graph.run(cypher_rel).data() print(str(hero.get('cname')) + '===' + str(hero_type_list) + '===' + str(skin_name_list))
完整代码
import json import requests from bs4 import BeautifulSoup from py2neo import Graph, RelationshipMatcher, NodeMatcher from dict import hero_type_dict url = "bolt://localhost:7687" username = "neo4j" password = 'Suns3535' graph = Graph(url, auth=(username, password), name="wzry") node_matcher = NodeMatcher(graph=graph) relationship_matcher = RelationshipMatcjavascripther(graph=graph) def get_hero_info_list(): # 英雄的全部信息的url hero_info = 'https://pvp.qq.com/web201605/js/herolist.json' # 获取英雄的全部信息 response = requests.get(hero_info) # 转为字典格式 hero_info_dict = json.loads(response.text) return hero_info_dict def create_hero_type_node(): for hero_type in hero_type_dict: cypher = "MERGE (n:HeroType{label: '" + hero_type + "'})" graph.run(cypher).data() print('创建英雄类型节点成功') def create_hero_node(): hero_info_dict = get_hero_info_list() # 1战士 2法师 3坦克 4刺客 5射手 6辅助 for hero in hero_info_dict: # print(hero) # print(str(hero.get('cname')) + '===' + str(hero_type[hero.get('hero_type')-1]) + '===' + str(hero.get('skin_name'))) hero_type_list = [str(hero_type_dict[hero.get('hero_type') - 1])] if '|' in str(hero.get('skin_name')): skin_name_list = hero.get('skin_name').split('|') else: skin_name_list = [hero.get('skin_name')] if 'hero_type2' in str(hero): hero_type_list.append(str(hero_type_dict[hero.get('hero_type2') - 1])) # 创建英雄信息节点 hero_cypher = "MERGE (n:Hero{label: '" + str(hero.get('cname')) + "'})" graph.run(hero_cypher).data() # 创建英雄->类型关系 for hero_type in hero_type_list: 编程 cypher_rel = "MATCH(h:Hero{label:'" + str( hero.get('cname')) + "'}),(t:HeroType{label:'" + hero_type + "'}) MERGE (h)-[r:类型]->(t) RETURN h,r,t" graph.run(cypher_rel).data() for skin_name in skin_name_list: # 创建英雄皮肤节点 cypher = "MERGE (n:Skin{label:'" + skin_name + "'})" graph.run(cypher).data() # 创建英雄->皮肤关系 cypher_rel = "MATCH(h:Hero{label:'" + str( hero.get('cname')) + "'}),(s:Skin{label:'" + skin_name + "'}) MERGE (h)-[r:皮肤]->(s) RETURN h,r,s" graph.run(cypher_rel).data() print(str(hero.get('cname')) + '===' + str(hero_type_list) + '===' + str(skin_name_list)) # 创建英雄类型节点 create_hero_type_node() # 创建英雄信息 create_hero_node()
实现效果
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