文章目录
前言
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项目介绍
随着开数字化阅读的普及，豆瓣电子图书推荐系统应运而生，旨在为用户提供个性化的阅读体验。基于Hadoop的强大数据处理能力，该系统能够有效处理海量用户数据和书籍信息，通过复杂的算法模型为用户推荐高质量的内容。管理员功能涵盖用户管理、豆瓣高分管理等，确保了平台的高效运营。用户个人中心则提供修改密码、我的发布等服务，增强了用户体验。整体上，该推荐系统不仅提升了用户的阅读便利性，也促进了知识分享与文化交流。
根据本系统的基本设计思路，本系统在设计方面前台采用了java技术等进行基本的页面设计，后台数据库采用MySQL。本系统的实现为豆瓣电子图书推荐系统的运行打下了基础，为豆瓣电子图书推荐提供良好的条件。
最后我们通过需求分析、测试调整，与豆瓣电子图书管理的实际需求相结合，设计实现了豆瓣电子图书推荐系统。
技术介绍
开发语言：Java
框架：springboot
JDK版本：JDK1.8
服务器：tomcat7
数据库：mysql
数据库工具：Navicat11
开发软件：eclipse/myeclipse/idea
Maven包：Maven
功能介绍
系统的功能设计是整个系统的运行基础，是一个把设计需求替换成以计算机系统的形式表示出来。通过对豆瓣电子图书推荐系统的调查、分析和研究，得出了该系统的总体规划，这是开发设计系统的初步核心。如下图所示：
在这里插入图片描述
图4-1总体规划结构图
核心代码
c
# # -*- coding: utf-8 -*-
# 数据爬取文件
import scrapy
import pymysql
import pymssql
from ..items import DoubanItem
import time
from datetime import datetime,timedelta
import datetime as formattime
import re
import random
import platform
import json
import os
import urllib
from urllib.parse import urlparse
import requests
import emoji
import numpy as np
import pandas as pd
from sqlalchemy import create_engine
from selenium.webdriver import ChromeOptions, ActionChains
from scrapy.http import TextResponse
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
# 豆瓣高分
class DoubanSpider(scrapy.Spider):
name = 'doubanSpider'
spiderUrl = 'https://read.douban.com/j/kind/'
start_urls = spiderUrl.split(";")
protocol = ''
hostname = ''
realtime = False
def __init__(self,realtime=False,*args, **kwargs):
super().__init__(*args, **kwargs)
self.realtime = realtime=='true'
def start_requests(self):
plat = platform.system().lower()
if not self.realtime and (plat == 'linux' or plat == 'windows'):
connect = self.db_connect()
cursor = connect.cursor()
if self.table_exists(cursor, 'l908648a_douban') == 1:
cursor.close()
connect.close()
self.temp_data()
return
data_json={"sort": "book_rating","page": 1,"kind": 100,"query": "\n query getFilterWorksList($works_ids: [ID!]) {\n worksList(worksIds: $works_ids) {\n \n id\n isOrigin\n isEssay\n \n title\n cover(useSmall: false)\n url\n isBundle\n coverLabel(preferVip: true)\n \n \n url\n title\n\n \n author {\n name\n url\n }\n origAuthor {\n name\n url\n }\n translator {\n name\n url\n }\n\n \n abstract\n authorHighlight\n editorHighlight\n\n \n isOrigin\n kinds {\n \n name @skip(if: true)\n shortName @include(if: true)\n id\n \n }\n ... on WorksBase @include(if: true) {\n wordCount\n wordCountUnit\n }\n ... on WorksBase @include(if: false) {\n inLibraryCount\n }\n ... on WorksBase @include(if: false) {\n \n isEssay\n \n ... on EssayWorks {\n favorCount\n }\n \n \n \n averageRating\n ratingCount\n url\n isColumn\n isFinished\n \n \n \n }\n ... on EbookWorks @include(if: true) {\n \n ... on EbookWorks {\n book {\n url\n averageRating\n ratingCount\n }\n }\n \n }\n ... on WorksBase @include(if: false) {\n isColumn\n isEssay\n onSaleTime\n ... on ColumnWorks {\n updateTime\n }\n }\n ... on WorksBase @include(if: true) {\n isColumn\n ... on ColumnWorks {\n isFinished\n }\n }\n ... on EssayWorks {\n essayActivityData {\n \n title\n uri\n tag {\n name\n color\n background\n icon2x\n icon3x\n iconSize {\n height\n }\n iconPosition {\n x y\n }\n }\n \n }\n }\n highlightTags {\n name\n }\n ... on WorksBase @include(if: false) {\n fanfiction {\n tags {\n id\n name\n url\n }\n }\n }\n \n \n ... on WorksBase {\n copyrightInfo {\n newlyAdapted\n newlyPublished\n adaptedName\n publishedName\n }\n }\n\n isInLibrary\n ... on WorksBase @include(if: false) {\n \n fixedPrice\n salesPrice\n isRebate\n \n }\n ... on EbookWorks {\n \n fixedPrice\n salesPrice\n isRebate\n \n }\n ... on WorksBase @include(if: true) {\n ... on EbookWorks {\n id\n isPurchased\n isInWishlist\n }\n }\n ... on WorksBase @include(if: false) {\n fanfiction {\n fandoms {\n title\n url\n }\n }\n }\n ... on WorksBase @include(if: false) {\n fanfiction {\n kudoCount\n }\n }\n \n }\n }\n ","variables": {}}
pageNum = 1 + 1
for page in range(1, pageNum):
data_json["page"] = page
raw = json.dumps(data_json)
yield scrapy.FormRequest(
url=self.spiderUrl,
body=raw,
method='POST',
callback=self.parse,
headers={'Content-Type': 'application/json'},
dont_filter=True
)
# 列表解析
def parse(self, response):
_url = urlparse(self.spiderUrl)
self.protocol = _url.scheme
self.hostname = _url.netloc
plat = platform.system().lower()
if not self.realtime and (plat == 'linux' or plat == 'windows'):
connect = self.db_connect()
cursor = connect.cursor()
if self.table_exists(cursor, 'l908648a_douban') == 1:
cursor.close()
connect.close()
self.temp_data()
return
print("response:",response.text)
data = json.loads(response.text)
try:
list = data["list"]
except:
pass
for item in list:
fields = DoubanItem()
fields["bookname"] = item["title"]
fields["cover"] = item["cover"]
fields["laiyuan"] = "https://read.douban.com"+item["url"]
fields["wordcount"] = int(item["wordCount"])
fields["salesprice"] = float(item["salesPrice"])
yield scrapy.Request(
url="https://read.douban.com/j"+item["url"],
meta={"fields":fields},
callback=self.detail_parse,
dont_filter=True
)
# 详情解析
def detail_parse(self, response):
print("detail_parse:",response.text)
fields = response.meta['fields']
data = json.loads(response.text)
try:
fields["author"] = data["author"]
except:
fields["author"] = data["original_author"]
try:
fields["chuban"] = data["publisher"]
except:
pass
try:
fields["tags"] = ",".join(i["tag"] for i in data["tags"])
except:
pass
try:
fields["mulu"] = ";".join(i["title"] for i in data["table_of_contents"])
except:
pass
try:
fields["rating"] = data["book_average_rating"]
except:
pass
return fields
# 数据清洗
def pandas_filter(self):
engine = create_engine('mysql+pymysql://root:123456@localhost/spiderl908648a?charset=UTF8MB4')
df = pd.read_sql('select * from douban limit 50', con = engine)
# 重复数据过滤
df.duplicated()
df.drop_duplicates()
#空数据过滤
df.isnull()
df.dropna()
# 填充空数据
df.fillna(value = '暂无')
# 异常值过滤
# 滤出 大于800 和 小于 100 的
a = np.random.randint(0, 1000, size = 200)
cond = (a<=800) & (a>=100)
a[cond]
# 过滤正态分布的异常值
b = np.random.randn(100000)
# 3σ过滤异常值，σ即是标准差
cond = np.abs(b) > 3 * 1
b[cond]
# 正态分布数据
df2 = pd.DataFrame(data = np.random.randn(10000,3))
# 3σ过滤异常值，σ即是标准差
cond = (df2 > 3*df2.std()).any(axis = 1)
# 不满⾜条件的⾏索引
index = df2[cond].index
# 根据⾏索引，进⾏数据删除
df2.drop(labels=index,axis = 0)
# 去除多余html标签
def remove_html(self, html):
if html == None:
return ''
pattern = re.compile(r'<[^>]+>', re.S)
return pattern.sub('', html).strip()
# 数据库连接
def db_connect(self):
type = self.settings.get('TYPE', 'mysql')
host = self.settings.get('HOST', 'localhost')
port = int(self.settings.get('PORT', 3306))
user = self.settings.get('USER', 'root')
password = self.settings.get('PASSWORD', '123456')
try:
database = self.databaseName
except:
database = self.settings.get('DATABASE', '')
if type == 'mysql':
connect = pymysql.connect(host=host, port=port, db=database, user=user, passwd=password, charset='utf8')
else:
connect = pymssql.connect(host=host, user=user, password=password, database=database)
return connect
# 断表是否存在
def table_exists(self, cursor, table_name):
cursor.execute("show tables;")
tables = [cursor.fetchall()]
table_list = re.findall('(\'.*?\')',str(tables))
table_list = [re.sub("'",'',each) for each in table_list]
if table_name in table_list:
return 1
else:
return 0
# 数据缓存源
def temp_data(self):
connect = self.db_connect()
cursor = connect.cursor()
sql = '''
insert into `douban`(
id
,bookname
,author
,cover
,laiyuan
,wordcount
,salesprice
,chuban
,tags
,mulu
,rating
)
select
id
,bookname
,author
,cover
,laiyuan
,wordcount
,salesprice
,chuban
,tags
,mulu
,rating
from `l908648a_douban`
where(not exists (select
id
,bookname
,author
,cover
,laiyuan
,wordcount
,salesprice
,chuban
,tags
,mulu
,rating
from `douban` where
`douban`.id=`l908648a_douban`.id
))
'''
cursor.execute(sql)
connect.commit()
connect.close()数据库参考
csharp
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `discussdouban`
--
LOCK TABLES `discussdouban` WRITE;
/*!40000 ALTER TABLE `discussdouban` DISABLE KEYS */;
/*!40000 ALTER TABLE `discussdouban` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `douban`
--
DROP TABLE IF EXISTS `douban`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `douban` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键',
`addtime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`bookname` varchar(200) DEFAULT NULL COMMENT '书名',
`author` varchar(200) DEFAULT NULL COMMENT '作者',
`cover` longtext COMMENT '封面',
`laiyuan` varchar(200) DEFAULT NULL COMMENT '来源',
`wordcount` int(11) DEFAULT NULL COMMENT '字数',
`salesprice` double DEFAULT NULL COMMENT '价格',
`chuban` varchar(200) DEFAULT NULL COMMENT '出版社',
`tags` varchar(200) DEFAULT NULL COMMENT '标签',
`mulu` longtext COMMENT '章节目录',
`rating` double DEFAULT NULL COMMENT '评分',
`thumbsupnum` int(11) DEFAULT '0' COMMENT '赞',
`crazilynum` int(11) DEFAULT '0' COMMENT '踩',
`clicktime` datetime DEFAULT NULL COMMENT '最近点击时间',
`clicknum` int(11) DEFAULT '0' COMMENT '点击次数',
`discussnum` int(11) DEFAULT '0' COMMENT '评论数',
`storeupnum` int(11) DEFAULT '0' COMMENT '收藏数',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=29 DEFAULT CHARSET=utf8 COMMENT='豆瓣高分';
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `douban`
--
LOCK TABLES `douban` WRITE;
/*!40000 ALTER TABLE `douban` DISABLE KEYS */;
INSERT INTO `douban` VALUES (21,'2024-03-14 13:36:40','书名1','作者1','upload/douban_cover1.jpg,upload/douban_cover2.jpg,upload/douban_cover3.jpg','来源1',1,1,'出版社1','标签1','章节目录1',1,1,1,'2024-03-14 21:36:40',1,0,1),(22,'2024-03-14 13:36:40','书名2','作者2','upload/douban_cover2.jpg,upload/douban_cover3.jpg,upload/douban_cover4.jpg','来源2',2,2,'出版社2','标签2','章节目录2',2,2,2,'2024-03-14 21:36:40',2,0,2),(23,'2024-03-14 13:36:40','书名3','作者3','upload/douban_cover3.jpg,upload/douban_cover4.jpg,upload/douban_cover5.jpg','来源3',3,3,'出版社3','标签3','章节目录3',3,3,3,'2024-03-14 21:36:40',3,0,3),(24,'2024-03-14 13:36:40','书名4','作者4','upload/douban_cover4.jpg,upload/douban_cover5.jpg,upload/douban_cover6.jpg','来源4',4,4,'出版社4','标签4','章节目录4',4,4,4,'2024-03-14 21:36:40',4,0,4),(25,'2024-03-14 13:36:40','书名5','作者5','upload/douban_cover5.jpg,upload/douban_cover6.jpg,upload/douban_cover7.jpg','来源5',5,5,'出版社5','标签5','章节目录5',5,5,5,'2024-03-14 21:36:40',5,0,5),(26,'2024-03-14 13:36:40','书名6','作者6','upload/douban_cover6.jpg,upload/douban_cover7.jpg,upload/douban_cover8.jpg','来源6',6,6,'出版社6','标签6','章节目录6',6,6,6,'2024-03-14 21:36:40',6,0,6),(27,'2024-03-14 13:36:40','书名7','作者7','upload/douban_cover7.jpg,upload/douban_cover8.jpg,upload/douban_cover9.jpg','来源7',7,7,'出版社7','标签7','章节目录7',7,7,7,'2024-03-14 21:36:40',7,0,7),(28,'2024-03-14 13:36:40','书名8','作者8','upload/douban_cover8.jpg,upload/douban_cover9.jpg,upload/douban_cover10.jpg','来源8',8,8,'出版社8','标签8','章节目录8',8,8,8,'2024-03-14 21:36:40',8,0,8);
/*!40000 ALTER TABLE `douban` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `forum`
--
DROP TABLE IF EXISTS `forum`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `forum` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键',
`addtime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`title` varchar(200) DEFAULT NULL COMMENT '帖子标题',
`content` longtext NOT NULL COMMENT '帖子内容',
`parentid` bigint(20) DEFAULT NULL COMMENT '父节点id',
`userid` bigint(20) NOT NULL COMMENT '用户id',
`username` varchar(200) DEFAULT NULL COMMENT '用户名',
`avatarurl` longtext COMMENT '头像',
`isdone` varchar(200) DEFAULT NULL COMMENT '状态',
`istop` int(11) DEFAULT '0' COMMENT '是否置顶',
`toptime` datetime DEFAULT NULL COMMENT '置顶时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=39 DEFAULT CHARSET=utf8 COMMENT='论坛交流';
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `forum`
--
LOCK TABLES `forum` WRITE;
/*!40000 ALTER TABLE `forum` DISABLE KEYS */;
INSERT INTO `forum` VALUES (31,'2024-03-14 13:36:40','帖子标题1','帖子内容1',0,1,'用户名1','upload/forum_avatarurl1.jpg,upload/forum_avatarurl2.jpg,upload/forum_avatarurl3.jpg','开放',0,'2024-03-14 21:36:40'),(32,'2024-03-14 13:36:40','帖子标题2','帖子内容2',0,2,'用户名2','upload/forum_avatarurl2.jpg,upload/forum_avatarurl3.jpg,upload/forum_avatarurl4.jpg','开放',0,'2024-03-14 21:36:40'),(33,'2024-03-14 13:36:40','帖子标题3','帖子内容3',0,3,'用户名3','upload/forum_avatarurl3.jpg,upload/forum_avatarurl4.jpg,upload/forum_avatarurl5.jpg','开放',0,'2024-03-14 21:36:40'),(34,'2024-03-14 13:36:40','帖子标题4','帖子内容4',0,4,'用户名4','upload/forum_avatarurl4.jpg,upload/forum_avatarurl5.jpg,upload/forum_avatarurl6.jpg','开放',0,'2024-03-14 21:36:40'),(35,'2024-03-14 13:36:40','帖子标题5','帖子内容5',0,5,'用户名5','upload/forum_avatarurl5.jpg,upload/forum_avatarurl6.jpg,upload/forum_avatarurl7.jpg','开放',0,'2024-03-14 21:36:40'),(36,'2024-03-14 13:36:40','帖子标题6','帖子内容6',0,6,'用户名6','upload/forum_avatarurl6.jpg,upload/forum_avatarurl7.jpg,upload/forum_avatarurl8.jpg','开放',0,'2024-03-14 21:36:40'),(37,'2024-03-14 13:36:40','帖子标题7','帖子内容7',0,7,'用户名7','upload/forum_avatarurl7.jpg,upload/forum_avatarurl8.jpg,upload/forum_avatarurl9.jpg','开放',0,'2024-03-14 21:36:40'),(38,'2024-03-14 13:36:40','帖子标题8','帖子内容8',0,8,'用户名8','upload/forum_avatarurl8.jpg,upload/forum_avatarurl9.jpg,upload/forum_avatarurl10.jpg','开放',0,'2024-03-14 21:36:40');
/*!40000 ALTER TABLE `forum` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `l908648a_douban`
--
DROP TABLE IF EXISTS `l908648a_douban`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `l908648a_douban` (
`id` bigint(20) NOT NULL DEFAULT '0' COMMENT '主键',
`addtime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`bookname` varchar(200) CHARACTER SET utf8 DEFAULT NULL COMMENT '书名',
`author` varchar(200) CHARACTER SET utf8 DEFAULT NULL COMMENT '作者',
`cover` longtext CHARACTER SET utf8 COMMENT '封面',
`laiyuan` longtext CHARACTER SET utf8 COMMENT '来源',
`wordcount` int(11) DEFAULT NULL COMMENT '字数',
`salesprice` double DEFAULT NULL COMMENT '价格',
`chuban` varchar(200) CHARACTER SET utf8 DEFAULT NULL COMMENT '出版社',
`tags` varchar(200) CHARACTER SET utf8 DEFAULT NULL COMMENT '标签',
`mulu` longtext CHARACTER SET utf8 COMMENT '章节目录',
`rating` double DEFAULT NULL COMMENT '评分'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
/*!40101 SET character_set_client = @saved_cs_client */;系统效果图
