├── .gitignore ├── Frame.md ├── README.md ├── data ├── show.png └── stopword.txt ├── ml ├── Cut.py ├── InverseIndex.py ├── Search.py └── __init__.py ├── news_spider ├── news_spider │ ├── __init__.py │ ├── commands │ │ ├── __init__.py │ │ └── crawlall.py │ ├── items.py │ ├── pipelines.py │ ├── rotateuseragent.py │ ├── settings.py │ ├── setup.py │ └── spiders │ │ ├── NetEase.py │ │ ├── Tencent.py │ │ ├── TouTiaoSpider.py │ │ ├── TouTiaoSpider.py.old │ │ └── __init__.py └── scrapy.cfg ├── requirements.txt ├── start.sh ├── test └── test_tool.py ├── testdata └── data │ ├── cutnews │ ├── 0.txt │ ├── 1.txt │ ├── 10.txt │ ├── 11.txt │ ├── 12.txt │ ├── 13.txt │ ├── 14.txt │ ├── 2.txt │ ├── 3.txt │ ├── 4.txt │ ├── 5.txt │ ├── 6.txt │ ├── 7.txt │ ├── 8.txt │ └── 9.txt │ ├── inversedata │ ├── 0.txt │ ├── 1.txt │ ├── 10.txt │ ├── 100.txt │ ├── 101.txt │ ├── 102.txt │ ├── 103.txt │ ├── 104.txt │ ├── 105.txt │ ├── 106.txt │ ├── 107.txt │ ├── 108.txt │ ├── 109.txt │ ├── 11.txt │ ├── 110.txt │ ├── 111.txt │ ├── 112.txt │ ├── 113.txt │ ├── 114.txt │ ├── 115.txt │ ├── 116.txt │ ├── 117.txt │ ├── 118.txt │ ├── 119.txt │ ├── 12.txt │ ├── 120.txt │ ├── 121.txt │ ├── 122.txt │ ├── 123.txt │ ├── 124.txt │ ├── 125.txt │ ├── 126.txt │ ├── 127.txt │ ├── 128.txt │ ├── 129.txt │ ├── 13.txt │ ├── 130.txt │ ├── 131.txt │ ├── 132.txt │ ├── 133.txt │ ├── 134.txt │ ├── 135.txt │ ├── 136.txt │ ├── 137.txt │ ├── 138.txt │ ├── 139.txt │ ├── 14.txt │ ├── 140.txt │ ├── 141.txt │ ├── 15.txt │ ├── 16.txt │ ├── 17.txt │ ├── 18.txt │ ├── 19.txt │ ├── 2.txt │ ├── 20.txt │ ├── 21.txt │ ├── 22.txt │ ├── 23.txt │ ├── 24.txt │ ├── 25.txt │ ├── 26.txt │ ├── 27.txt │ ├── 28.txt │ ├── 29.txt │ ├── 3.txt │ ├── 30.txt │ ├── 31.txt │ ├── 32.txt │ ├── 33.txt │ ├── 34.txt │ ├── 35.txt │ ├── 36.txt │ ├── 37.txt │ ├── 38.txt │ ├── 39.txt │ ├── 4.txt │ ├── 40.txt │ ├── 41.txt │ ├── 42.txt │ ├── 43.txt │ ├── 44.txt │ ├── 45.txt │ ├── 46.txt │ ├── 47.txt │ ├── 48.txt │ ├── 49.txt │ ├── 5.txt │ ├── 50.txt │ ├── 51.txt │ ├── 52.txt │ ├── 53.txt │ ├── 54.txt │ ├── 55.txt │ ├── 56.txt │ ├── 57.txt │ ├── 58.txt │ ├── 59.txt │ ├── 6.txt │ ├── 60.txt │ ├── 61.txt │ ├── 62.txt │ ├── 63.txt │ ├── 64.txt │ ├── 65.txt │ ├── 66.txt │ ├── 67.txt │ ├── 68.txt │ ├── 69.txt │ ├── 7.txt │ ├── 70.txt │ ├── 71.txt │ ├── 72.txt │ ├── 73.txt │ ├── 74.txt │ ├── 75.txt │ ├── 76.txt │ ├── 77.txt │ ├── 78.txt │ ├── 79.txt │ ├── 8.txt │ ├── 80.txt │ ├── 81.txt │ ├── 82.txt │ ├── 83.txt │ ├── 84.txt │ ├── 85.txt │ ├── 86.txt │ ├── 87.txt │ ├── 88.txt │ ├── 89.txt │ ├── 9.txt │ ├── 90.txt │ ├── 91.txt │ ├── 92.txt │ ├── 93.txt │ ├── 94.txt │ ├── 95.txt │ ├── 96.txt │ ├── 97.txt │ ├── 98.txt │ ├── 99.txt │ └── id.txt │ ├── news.json │ ├── orinews │ ├── 0.txt │ ├── 1.txt │ ├── 10.txt │ ├── 11.txt │ ├── 12.txt │ ├── 13.txt │ ├── 14.txt │ ├── 2.txt │ ├── 3.txt │ ├── 4.txt │ ├── 5.txt │ ├── 6.txt │ ├── 7.txt │ ├── 8.txt │ └── 9.txt │ └── title.json ├── tools ├── Global.py ├── Init.py ├── __init__.py ├── news2db.py ├── preprocess.py ├── show.py └── stopword.txt └── web ├── main.py └── templates ├── index.html └── news.html /.gitignore: -------------------------------------------------------------------------------- 1 | data/ne.json 2 | data/news.db 3 | data/news.json 4 | data/title.json 5 | data/cutnews 6 | data/orinews 7 | data/inversedata 8 | **/*.pyc 9 | tools/news.db 10 | -------------------------------------------------------------------------------- /Frame.md: -------------------------------------------------------------------------------- 1 | #新闻检索系统框架 2 | 3 | ##后端程序 4 | ### 抓取新闻 5 | - Step1:采集网易，头条和腾讯新闻，以json格式保存 6 | - Step2:由于抓取内容较大，对文件进行拆分，每个文件保存100个新闻文档 7 | ++**新闻在文件中的书序默认从1开始到结束**++ 8 | 9 | ### 构建索引 10 | - 根据tf-idf提取每篇新闻文档的关键词。 11 | - 建立倒排索引，以小文件进行存储，因此需要维护两个词典 12 | - `词项-编号`，以json格式存储到文件，启动系统初加载到字典中。 13 | - `词项-文档编号`，（即倒排记录），查询时按需进行加载。 14 | - 避免一次性读写，分批次读取新闻内容，建好索引写入文件，对于已经出现的词项更新倒排记录。 15 | 16 | ### 检索 17 | - Step1:对输入的词或句子进行拆分，分别查询每个词 18 | - Step2:对每个词返回的倒排记录进行合并，得到最终的查询记录。**优化：按照文档频率从小到大进行合并** 19 | - Step3:可以考虑对结果按时间进行排序。 20 | - Step4:返回内容摘要及url链接 21 | 22 | ###~~相似新闻推荐~~ 23 | **++待定++** 24 | 25 | ##前段展示 26 | - 暂定使用webpy轻量级框架进行开发。 27 | - 页面结构 28 | - 搜索首页 29 | - 搜索结果展示页 30 | - 新闻页（侧边包含推荐相似新闻部分） -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## 包含网站： 2 | - 今日头条 3 | - 网易新闻 4 | - 腾讯新闻 5 | 6 | ## 主要功能 7 | - 新闻抓取 8 | - 索引构建 9 | - 前端搜索 10 | 11 | ### [整体结构](https://github.com/lzjqsdd/NewsSpider/blob/master/Frame.md) 12 | 13 | ## 运行 14 | 15 | ### 一键启动 16 | 直接执行工程目录下的start.sh，可以启动抓取，索引和检索。可以修改tools/Global.py中的project_root路径，默认所有处理的数据均在该目录下 17 | 18 | ### 同时运行所有爬虫 19 | ```shell 20 | git clone https://github.com/lzjqsdd/NewsSpider.git 21 | cd NewsSpider/news_spider 22 | scrapy crawlall 23 | ``` 24 | 25 | ### 运行单个爬虫 26 | ```shell 27 | scrapy crawl [toutiao|netease|tencent] 28 | ``` 29 | 30 | ### 数据及注意事项 31 | - 抓取的新闻为utf-8格式的，并不是乱码 32 | - 网易新闻2015年的内容格式和2016的不一样，可以抓取，需要修改xpath解析方式 33 | - 默认参数可以抓取到13万条左右的数据， 34 | - title.json(不含新闻内容) 35 | - news.json(含新闻内容)，可以在setting.py中修改默认写入选项 36 | - `news2db.py` 可以将json文件写入`sqlite3`数据库 37 | - 所有的数据配置均可以在tool/Global.py中修改 38 | 39 | ### TODO 40 | - 相似新闻推荐 41 | - 排序算法 42 | 43 | ### Demo展示 44 | ![Demo](https://github.com/lzjqsdd/NewsSpider/blob/master/data/show.png) 45 | -------------------------------------------------------------------------------- /data/show.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lzjqsdd/NewsSpider/58c576eddaca753f76395db28a05154779db62c3/data/show.png -------------------------------------------------------------------------------- /ml/Cut.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | import json 3 | import sys 4 | sys.path.append("..") 5 | import tools.Global as Global 6 | import os 7 | import linecache 8 | import jieba 9 | 10 | class Cut: 11 | def __init__(self): 12 | pass 13 | 14 | def cutfile(self,path,fliename,size): 15 | file_data = open(fliename,'r') 16 | num = 0 17 | flag = 0 18 | while True: 19 | if flag == 1: 20 | break 21 | if not os.path.exists(path): 22 | os.makedirs(path) 23 | cutfilename = path+'/'+str(num)+'.txt' 24 | cut_file = open(cutfilename,'wb') 25 | print 'Generate:'+cutfilename+'...' 26 | for i in range(0,size): 27 | line = file_data.readline() 28 | if not line: 29 | flag = 1 30 | break 31 | data = json.loads(line) 32 | seg_list = jieba.cut(data['content'],cut_all=False) 33 | result = ' '.join(seg_list) 34 | data['content'] = result 35 | cut_file.write(json.dumps(data)+'\n') 36 | cut_file.close() 37 | num+=1 38 | 39 | def cutfileWithoutCut(self,path,fliename,size): 40 | file_data = open(fliename,'r') 41 | num = 0 42 | flag = 0 43 | while True: 44 | if flag == 1: 45 | break 46 | if not os.path.exists(path): 47 | os.makedirs(path) 48 | cutfilename = path+'/'+str(num)+'.txt' 49 | cut_file = open(cutfilename,'wb') 50 | print 'Generate:'+cutfilename+'...' 51 | for i in range(0,size): 52 | line = file_data.readline() 53 | if not line: 54 | flag = 1 55 | break 56 | cut_file.write(line) 57 | cut_file.close() 58 | num+=1 59 | 60 | def getInverseIndexRow(self,recordnum,path,size): 61 | filenum = (recordnum-1)/size 62 | linenum = (recordnum-1)%size+1 63 | cutfilename = path+'/'+str(filenum)+'.txt' 64 | print cutfilename,linenum 65 | linecache.clearcache() 66 | line = linecache.getline(cutfilename,linenum) 67 | linecache.clearcache() 68 | data = json.loads(line) 69 | return line 70 | 71 | def getRow(self,recordnum,path,size): 72 | filenum = (recordnum-1)/size 73 | linenum = (recordnum-1)%size+1 74 | cutfilename = path+'/'+str(filenum)+'.txt' 75 | print cutfilename,linenum 76 | linecache.clearcache() 77 | line = linecache.getline(cutfilename,linenum) 78 | linecache.clearcache() 79 | data = json.loads(line) 80 | return line 81 | 82 | #test cutfile 83 | #c = Cut() 84 | #c.cutfileWithoutCut(Global.cutnews_origin_dir,Global.content_dir,Global.filesize) 85 | #c.cutfile(Global.cutnews_dir,Global.content_dir,Global.filesize) 86 | 87 | #test getRow 88 | #c = Cut() 89 | #c.getRow(200,Global.cutnews_dir,Global.filesize) 90 | -------------------------------------------------------------------------------- /ml/InverseIndex.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | import jieba 3 | import jieba.analyse as analyse 4 | import json 5 | import sys 6 | reload(sys) 7 | sys.path.append("..") 8 | sys.setdefaultencoding('utf-8') 9 | import tools.Global as Global 10 | from Cut import Cut 11 | from sklearn import feature_extraction 12 | from sklearn.feature_extraction.text import TfidfTransformer 13 | from sklearn.feature_extraction.text import CountVectorizer 14 | from tools.show import show 15 | import numpy as np 16 | 17 | 18 | class InverseIndex: 19 | 20 | def __init__(self): 21 | self.file_data= open(Global.title_dir) 22 | self.file_sw = open(Global.stopword_dir) 23 | #self.ii = open(Global.inverse_dir,'wb') 24 | self.stopword=[] 25 | self.worddict = dict() 26 | 27 | #load stopword list 28 | def loadsw(self): 29 | while True: 30 | line = self.file_sw.readline() 31 | if not line: 32 | break 33 | self.stopword.append(line) 34 | print line, 35 | 36 | #load origin data:news.json,title.json 37 | def CalcInverseIndex(self): 38 | self.loadsw() 39 | count=0 40 | while True: 41 | line = self.file_data.readline() 42 | if not line: 43 | break 44 | data = json.loads(line) 45 | seg_list = list(jieba.cut(data['title'], cut_all=False)) 46 | count+=1 47 | for w in seg_list: 48 | if w not in self.worddict: 49 | self.worddict[w] = [] 50 | if w not in self.stopword: 51 | print w, 52 | self.worddict[w].append(count) 53 | 54 | def loadDataFromFile(self): 55 | doc = [] 56 | f = open(Global.content_dir,'r') 57 | while True: 58 | line = f.readline() 59 | if not line: 60 | break 61 | data = json.loads(line) 62 | seg_list = list(jieba.cut(data['title'],cut_all=False)) 63 | doc.append(seg_list) 64 | return doc 65 | 66 | 67 | def loadDataFromCutFile(self,totalnum): 68 | doc = [] 69 | cut = Cut() 70 | for i in range(1,totalnum): 71 | line = cut.getRow(i,Global.cutnews_dir,Global.filesize) 72 | if not line: 73 | break 74 | data = json.loads(line) 75 | keyword = analyse.extract_tags(data['content'],topK=20) 76 | seg = " ".join(keyword) 77 | print seg 78 | doc.append(seg) 79 | return doc 80 | 81 | 82 | #calculate tf-idf 83 | def CalcTFIDF(self): 84 | sh = show() 85 | count = sh.showcount() 86 | docArray = self.loadDataFromCutFile(count) 87 | #docArray = self.loadDataFromCutFile(10) 88 | vectorizer = CountVectorizer() 89 | transformer = TfidfTransformer() 90 | tfidf = transformer.fit_transform(vectorizer.fit_transform(docArray)) 91 | print 'done' 92 | #write index-doc to file 93 | i = 0 94 | indexdoc = dict() 95 | f = open(Global.inverse_dir+'id.txt','wb') 96 | word = vectorizer.get_feature_names() 97 | for name in vectorizer.get_feature_names(): 98 | i+=1 99 | indexdoc[name] = i 100 | f.write(json.dumps(indexdoc)) 101 | f.close() 102 | 103 | colnum = tfidf.shape[1] 104 | #for i in range(0,colnum): 105 | # filename = Global.inverse_dir+str(i/Global.filesize)+'.txt' 106 | # f = open(filename,'a') 107 | # idx_list = dict() 108 | # for j in range(0,row): 109 | # val = tfidf[j,i] 110 | # if val > 0: 111 | # idx_list[j+1] = val 112 | # f.write(json.dumps(idx_list)+'\n') 113 | # f.close() 114 | #i表示词项的编号，row表示非零文档所在的行 115 | for i in range(0,colnum): 116 | filename = Global.inverse_dir+str(i/Global.filesize)+'.txt' 117 | coldata = tfidf.getcol(i) 118 | col_nonzero_index = np.nonzero(coldata) 119 | item_weight_dict = dict() 120 | for row in col_nonzero_index[0]: 121 | item_weight_dict[row+1] = coldata[row][0].data[0] 122 | f = open(filename,'a') 123 | f.write(json.dumps(item_weight_dict)+'\n') 124 | f.close() 125 | print 'item ',i,'calculate done' 126 | 127 | 128 | def WriteInverseIndex(self,mat): 129 | pass 130 | 131 | 132 | #test 133 | #ii = InverseIndex() 134 | #ii.CalcTFIDF() 135 | #ii.loadDataFromCutFile(20) 136 | -------------------------------------------------------------------------------- /ml/Search.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | import sys 3 | import json 4 | reload(sys) 5 | sys.path.append("..") 6 | sys.setdefaultencoding('utf-8') 7 | from Cut import Cut 8 | import tools.Global as Global 9 | import jieba 10 | import time 11 | 12 | class Search: 13 | def __init__(self): 14 | self.kw_id = self.loadKW_ID() 15 | 16 | def loadKW_ID(self): 17 | f = open(Global.inverse_dir+'id.txt') 18 | line = f.readline() 19 | kw_id = json.loads(line, encoding='utf-8') 20 | return kw_id 21 | 22 | 23 | #返回文档号 24 | def QuerySingle(self,searchWord,ishow): 25 | if self.kw_id.has_key(searchWord.decode('utf-8')): 26 | idx = self.kw_id[searchWord.decode('utf-8')] 27 | cut = Cut() 28 | ii_line = cut.getInverseIndexRow(idx,Global.inverse_dir,Global.filesize) 29 | record =json.loads(ii_line) 30 | if ishow: 31 | for rec in record: 32 | line = cut.getRow(int(rec),Global.cutnews_origin_dir,Global.filesize) 33 | data = json.loads(line) 34 | print data['title'],'\n',data['time'],'\n',data['content'],'\n' 35 | #返回单个词项对应的倒排记录表 36 | return record 37 | else: 38 | if isshow: 39 | print 'Not Exists Record!' 40 | #调用该函数后需要对结果进行判断 41 | return dict() 42 | 43 | 44 | #'与'查询：先分词，再合并倒排记录,不考虑权重,返回文档号 45 | def QueryPhrase(self,searchPhrase,isshow = True): 46 | words = jieba.cut(searchPhrase.decode('utf-8'),cut_all=False) 47 | cut = Cut() 48 | result = set(range(1,100000)) 49 | for word in words: 50 | if not self.kw_id.has_key(word): 51 | print 'Not Exist Record' 52 | return set() 53 | idx = self.kw_id[word] 54 | ii_line = cut.getInverseIndexRow(idx,Global.inverse_dir,Global.filesize) 55 | record =json.loads(ii_line) 56 | re = set() 57 | for rec in record: 58 | re.add(int(rec)) 59 | result = result & re 60 | if len(result) == 0: 61 | print 'Not Exists Record!' 62 | newslist=list() 63 | count = 0 64 | for rst in result: 65 | count+=1 66 | if count > Global.listsize: 67 | break 68 | line = cut.getRow(int(rst),Global.cutnews_origin_dir,Global.filesize) 69 | data = json.loads(line) 70 | if isshow: 71 | print data['title'],'\n',data['time'],'\n',data['content'],'\n' 72 | tm = time.localtime(int(data['time'])) 73 | data['time'] = time.strftime('%Y-%m-%d %H:%M:%S',tm) 74 | data['content'] = data['content'][0:Global.snippetsize] 75 | data['id'] = rst 76 | newslist.append(data) 77 | return newslist 78 | 79 | #返回热点新闻 80 | def QueryHotNews(self): 81 | pass 82 | 83 | #返回最新新闻 84 | def QueryByTime(self,searchPhrase): 85 | newslist = self.QueryPhrase(searchPhrase,False) 86 | return sorted(newslist,lambda x,y:cmp(y['time'],x['time'])) 87 | 88 | def QueryById(self,no): 89 | no = int(no.decode('utf-8')) 90 | default = dict() 91 | default['title'] = "No Such News" 92 | default['time']='' 93 | default['content'] = "Oh No!" 94 | default['url'] = "#" 95 | if not no: 96 | return default 97 | cut = Cut() 98 | line = cut.getRow(no,Global.cutnews_origin_dir,Global.filesize) 99 | if line: 100 | data = json.loads(line) 101 | return data 102 | else: 103 | return default 104 | 105 | 106 | #search = Search() 107 | #search.QueryPhrase(sys.argv[1]) 108 | #search.QueryPhrase(sys.argv[1]) 109 | -------------------------------------------------------------------------------- /ml/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lzjqsdd/NewsSpider/58c576eddaca753f76395db28a05154779db62c3/ml/__init__.py -------------------------------------------------------------------------------- /news_spider/news_spider/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lzjqsdd/NewsSpider/58c576eddaca753f76395db28a05154779db62c3/news_spider/news_spider/__init__.py -------------------------------------------------------------------------------- /news_spider/news_spider/commands/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lzjqsdd/NewsSpider/58c576eddaca753f76395db28a05154779db62c3/news_spider/news_spider/commands/__init__.py -------------------------------------------------------------------------------- /news_spider/news_spider/commands/crawlall.py: -------------------------------------------------------------------------------- 1 | from scrapy.commands import ScrapyCommand 2 | from scrapy.crawler import CrawlerRunner 3 | from scrapy.utils.conf import arglist_to_dict 4 | 5 | class Command(ScrapyCommand): 6 | 7 | requires_project = True 8 | 9 | def syntax(self): 10 | return '[options]' 11 | 12 | def short_desc(self): 13 | return 'Runs all of the spiders' 14 | 15 | def add_options(self, parser): 16 | ScrapyCommand.add_options(self, parser) 17 | parser.add_option("-a", dest="spargs", action="append", default=[], metavar="NAME=VALUE", 18 | help="set spider argument (may be repeated)") 19 | parser.add_option("-o", "--output", metavar="FILE", 20 | help="dump scraped items into FILE (use - for stdout)") 21 | parser.add_option("-t", "--output-format", metavar="FORMAT", 22 | help="format to use for dumping items with -o") 23 | 24 | def process_options(self, args, opts): 25 | ScrapyCommand.process_options(self, args, opts) 26 | try: 27 | opts.spargs = arglist_to_dict(opts.spargs) 28 | except ValueError: 29 | raise UsageError("Invalid -a value, use -a NAME=VALUE", print_help=False) 30 | 31 | def run(self, args, opts): 32 | #settings = get_project_settings() 33 | 34 | spider_loader = self.crawler_process.spider_loader 35 | for spidername in args or spider_loader.list(): 36 | print "*********crawlall spidername************" + spidername 37 | self.crawler_process.crawl(spidername, **opts.spargs) 38 | self.crawler_process.start() 39 | -------------------------------------------------------------------------------- /news_spider/news_spider/items.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | # Define here the models for your scraped items 4 | # 5 | # See documentation in: 6 | # http://doc.scrapy.org/en/latest/topics/items.html 7 | 8 | import scrapy 9 | 10 | class NewsSpiderItem(scrapy.Item): 11 | # define the fields for your item here like: 12 | # name = scrapy.Field() 13 | title = scrapy.Field() 14 | time = scrapy.Field() 15 | content = scrapy.Field() 16 | url = scrapy.Field() 17 | 18 | class TitleSpiderItem(scrapy.Item): 19 | title = scrapy.Field() 20 | time = scrapy.Field() 21 | url = scrapy.Field() 22 | 23 | -------------------------------------------------------------------------------- /news_spider/news_spider/pipelines.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | # Define your item pipelines here 4 | # 5 | # Don't forget to add your pipeline to the ITEM_PIPELINES setting 6 | # See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html 7 | import codecs 8 | import json 9 | from items import TitleSpiderItem 10 | import threading 11 | import sys 12 | reload(sys) 13 | sys.path.append("..") 14 | import tools.Global as Global 15 | 16 | 17 | class NewsSpiderPipeline(object): 18 | lock = threading.Lock() 19 | file = open(Global.content_dir,'a') 20 | 21 | def __init__(self): 22 | pass 23 | 24 | def process_item(self,item,spider): 25 | line = json.dumps(dict(item))+'\n' 26 | try: 27 | NewsSpiderPipeline.lock.acquire() 28 | NewsSpiderPipeline.file.write(line) 29 | except: 30 | pass 31 | finally: 32 | NewsSpiderPipeline.lock.release() 33 | return item 34 | def spider_closed(self,spider): 35 | pass 36 | 37 | 38 | class TitlePipeline(object): 39 | lock = threading.Lock() 40 | file = open(Global.title_dir,'a') 41 | 42 | def __init__(self): 43 | pass 44 | 45 | def process_item(self,item,spider): 46 | title_item = TitleSpiderItem() 47 | title_item['title'] = item['title'] 48 | title_item['time'] = item['time'] 49 | title_item['url'] = item['url'] 50 | line = json.dumps(dict(title_item))+'\n' 51 | 52 | try: 53 | TitlePipeline.lock.acquire() 54 | TitlePipeline.file_title.write(line) 55 | except: 56 | pass 57 | finally: 58 | TitlePipeline.lock.release() 59 | return item 60 | 61 | def spider_closed(self,spider): 62 | pass 63 | -------------------------------------------------------------------------------- /news_spider/news_spider/rotateuseragent.py: -------------------------------------------------------------------------------- 1 | # -*-coding:utf-8-*- 2 | 3 | import logging 4 | 5 | """避免被ban策略之一：使用useragent池。 6 | 7 | 使用注意：需在settings.py中进行相应的设置。 8 | """ 9 | 10 | import random 11 | from scrapy import signals 12 | 13 | class UserAgentMiddleware(object): 14 | """This middleware allows spiders to override the user_agent""" 15 | 16 | def __init__(self, user_agent='Scrapy'): 17 | self.user_agent = user_agent 18 | 19 | @classmethod 20 | def from_crawler(cls, crawler): 21 | o = cls(crawler.settings['USER_AGENT']) 22 | crawler.signals.connect(o.spider_opened, signal=signals.spider_opened) 23 | return o 24 | 25 | def spider_opened(self, spider): 26 | self.user_agent = getattr(spider, 'user_agent', self.user_agent) 27 | 28 | def process_request(self, request, spider): 29 | if self.user_agent: 30 | request.headers.setdefault(b'User-Agent', self.user_agent) 31 | 32 | class RotateUserAgentMiddleware(UserAgentMiddleware): 33 | 34 | def __init__(self, user_agent=''): 35 | self.user_agent = user_agent 36 | 37 | def process_request(self, request, spider): 38 | ua = random.choice(self.user_agent_list) 39 | if ua: 40 | #显示当前使用的useragent 41 | print "********Current UserAgent:%s************" % ua 42 | logging.info('Current UserAgent:'+ua) 43 | request.headers.setdefault('User-Agent', ua) 44 | 45 | #the default user_agent_list composes chrome,I E,firefox,Mozilla,opera,netscape 46 | #for more user agent strings,you can find it in http://www.useragentstring.com/pages/useragentstring.php 47 | user_agent_list = [\ 48 | "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 " 49 | "(KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1", 50 | "Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 " 51 | "(KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11", 52 | "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 " 53 | "(KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6", 54 | "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 " 55 | "(KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6", 56 | "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 " 57 | "(KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1", 58 | "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 " 59 | "(KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5", 60 | "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 " 61 | "(KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5", 62 | "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 " 63 | "(KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", 64 | "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 " 65 | "(KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", 66 | "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 " 67 | "(KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", 68 | "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 " 69 | "(KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3", 70 | "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 " 71 | "(KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3", 72 | "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 " 73 | "(KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", 74 | "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 " 75 | "(KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", 76 | "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 " 77 | "(KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", 78 | "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 " 79 | "(KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3", 80 | "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 " 81 | "(KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24", 82 | "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 " 83 | "(KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24" 84 | ] 85 | 86 | -------------------------------------------------------------------------------- /news_spider/news_spider/settings.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | # Scrapy settings for news_spider project 4 | # 5 | # For simplicity, this file contains only settings considered important or 6 | # commonly used. You can find more settings consulting the documentation: 7 | # 8 | # http://doc.scrapy.org/en/latest/topics/settings.html 9 | # http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html 10 | # http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html 11 | 12 | BOT_NAME = 'news_spider' 13 | 14 | SPIDER_MODULES = ['news_spider.spiders'] 15 | NEWSPIDER_MODULE = 'news_spider.spiders' 16 | COMMANDS_MODULE='news_spider.commands' 17 | 18 | 19 | # Crawl responsibly by identifying yourself (and your website) on the user-agent 20 | #USER_AGENT = 'news_spider (+http://www.yourdomain.com)' 21 | #USER_AGENT = 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2049.0 Safari/537.36' 22 | 23 | 24 | # Configure maximum concurrent requests performed by Scrapy (default: 16) 25 | #CONCURRENT_REQUESTS=32 26 | 27 | # Configure a delay for requests for the same website (default: 0) 28 | # See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay 29 | # See also autothrottle settings and docs 30 | DOWNLOAD_DELAY=3 31 | # The download delay setting will honor only one of: 32 | #CONCURRENT_REQUESTS_PER_DOMAIN=16 33 | #CONCURRENT_REQUESTS_PER_IP=16 34 | 35 | # Disable cookies (enabled by default) 36 | #COOKIES_ENABLED=False 37 | 38 | # Disable Telnet Console (enabled by default) 39 | #TELNETCONSOLE_ENABLED=False 40 | 41 | # Override the default request headers: 42 | #DEFAULT_REQUEST_HEADERS = { 43 | # 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 44 | # 'Accept-Language': 'en', 45 | #} 46 | 47 | # Enable or disable spider middlewares 48 | # See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html 49 | #SPIDER_MIDDLEWARES = { 50 | # 'news_spider.middlewares.MyCustomSpiderMiddleware': 543, 51 | #} 52 | 53 | # Enable or disable downloader middlewares 54 | # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html 55 | DOWNLOADER_MIDDLEWARES = { 56 | 'news_spider.middlewares.MyCustomDownloaderMiddleware': None, 57 | 'news_spider.rotateuseragent.RotateUserAgentMiddleware':400 58 | } 59 | 60 | # Enable or disable extensions 61 | # See http://scrapy.readthedocs.org/en/latest/topics/extensions.html 62 | #EXTENSIONS = { 63 | # 'scrapy.telnet.TelnetConsole': None, 64 | #} 65 | 66 | # Configure item pipelines 67 | # See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html 68 | ITEM_PIPELINES = { 69 | 'news_spider.pipelines.NewsSpiderPipeline': 300, 70 | 'news_spider.pipelines.TitlePipeline': 500, 71 | } 72 | 73 | # Enable and configure the AutoThrottle extension (disabled by default) 74 | # See http://doc.scrapy.org/en/latest/topics/autothrottle.html 75 | # NOTE: AutoThrottle will honour the standard settings for concurrency and delay 76 | #AUTOTHROTTLE_ENABLED=True 77 | # The initial download delay 78 | #AUTOTHROTTLE_START_DELAY=5 79 | # The maximum download delay to be set in case of high latencies 80 | #AUTOTHROTTLE_MAX_DELAY=60 81 | # Enable showing throttling stats for every response received: 82 | #AUTOTHROTTLE_DEBUG=False 83 | 84 | # Enable and configure HTTP caching (disabled by default) 85 | # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings 86 | #HTTPCACHE_ENABLED=True 87 | #HTTPCACHE_EXPIRATION_SECS=0 88 | #HTTPCACHE_DIR='httpcache' 89 | #HTTPCACHE_IGNORE_HTTP_CODES=[] 90 | #HTTPCACHE_STORAGE='scrapy.extensions.httpcache.FilesystemCacheStorage' 91 | -------------------------------------------------------------------------------- /news_spider/news_spider/setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import setup, find_packages 2 | 3 | setup(name='scrapy-mymodule', 4 | entry_points={ 5 | 'scrapy.commands': [ 6 | 'crawlall=news_spider.commands:crawlall', 7 | ], 8 | }, 9 | ) 10 | -------------------------------------------------------------------------------- /news_spider/news_spider/spiders/NetEase.py: -------------------------------------------------------------------------------- 1 | #encoding=utf-8 2 | import scrapy 3 | from news_spider.items import NewsSpiderItem 4 | import json 5 | import time 6 | import re 7 | 8 | class NetEaseSpider(scrapy.Spider): 9 | 10 | start_urls = ['http://snapshot.news.163.com/wgethtml/http+!!news.163.com!/2016-04/17/12.html'] 11 | name='netease' 12 | allowed_domains=['news.163.com'] 13 | 14 | base_url = 'http://snapshot.news.163.com/wgethtml/http+!!news.163.com!' 15 | # year = ['2016','2015'] 16 | # month = ['12','11','10','09','08','07','06','05','04','03','02','01'] 17 | # day = ['31','30','29','28','27','26','25','24','23','22','21', 18 | # '20','19','18','17','16','15','14','13','12','11','10', 19 | # '09','08','07','06','05','04','03','02','01'] 20 | year = ['2016'] 21 | month = ['03'] 22 | day = ['31','30','29','28','27','26','25','24','23','22','21'] 23 | 24 | def parse(self,response): 25 | for y in self.year: 26 | for m in self.month: 27 | for d in self.day: 28 | url = self.base_url+'/'+y+'-'+m+'/'+d+'/12.html' 29 | yield scrapy.Request(url,self.parseList) 30 | 31 | 32 | def parseList(self,response): 33 | urls = response.xpath("//a/@href").extract() 34 | for url in urls: 35 | yield scrapy.Request(url,self.parseNews) 36 | 37 | def parseNews(self,response): 38 | data = response.xpath("//div[@class='post_content_main']") 39 | item = NewsSpiderItem() 40 | timee = data.xpath("//div[@class='post_time_source']/text()").extract() 41 | title = data.xpath("//h1/text()").extract() 42 | content = data.xpath("//div[@class='post_text']/p/text()").extract() 43 | 44 | time_pattern = re.compile("[0-9]{4}-[0-9]{2}-[0-9]{2}\s[0-9]{2}:[0-9]{2}") 45 | if(len(timee)!=0 and len(title)!=0 and len(content)!=0): 46 | tm = time_pattern.findall(timee[0])[0] 47 | item['time'] = int(time.mktime(time.strptime(tm,'%Y-%m-%d %H:%M'))) 48 | item['title'] = title[0] 49 | item['url'] = response.url 50 | cc='' 51 | if(len(content)!=0): 52 | for c in content: 53 | cc = cc+c+'\n' 54 | item['content'] = cc 55 | yield item 56 | -------------------------------------------------------------------------------- /news_spider/news_spider/spiders/Tencent.py: -------------------------------------------------------------------------------- 1 | #encoding=utf-8 2 | import scrapy 3 | from news_spider.items import NewsSpiderItem 4 | import json 5 | import time 6 | import re 7 | 8 | class TencentSpider(scrapy.Spider): 9 | 10 | start_urls = ['http://news.qq.com'] 11 | name='tencent' 12 | allowed_domains=['news.qq.com'] 13 | 14 | base_url = 'http://news.qq.com/b/history/index' 15 | # year = ['2016','2015','2014'] 16 | # month = ['12','11','10','09','08','07','06','05','04','03','02','01'] 17 | # day = ['31','30','29','28','27','26','25','24','23','22','21', 18 | # '20','19','18','17','16','15','14','13','12','11','10', 19 | # '09','08','07','06','05','04','03','02','01'] 20 | tp = ['am','pm'] 21 | 22 | day = ['31'] 23 | year = ['2016'] 24 | month = ['03'] 25 | 26 | def parse(self,response): 27 | for y in self.year: 28 | for m in self.month: 29 | for d in self.day: 30 | for t in self.tp: 31 | url = self.base_url+y+m+d+t+'.shtml?' 32 | yield scrapy.Request(url,self.parseList) 33 | 34 | 35 | def parseList(self,response): 36 | urls = response.xpath("//a/@href").extract() 37 | for url in urls: 38 | if 'http' in url: 39 | yield scrapy.Request(url,self.parseNews) 40 | 41 | def parseNews(self,response): 42 | data = response.xpath("//div[@id='C-Main-Article-QQ']") 43 | item = NewsSpiderItem() 44 | timee = data.xpath("//span[@class='article-time']/text()").extract() 45 | title = data.xpath("//div[@class='hd']//h1/text()").extract() 46 | content = data.xpath("//p/text()").extract() 47 | 48 | time_pattern = re.compile("[0-9]{4}-[0-9]{2}-[0-9]{2}\s[0-9]{2}:[0-9]{2}") 49 | if(len(timee)!=0 and len(title)!=0 and len(content)!=0): 50 | tm = time_pattern.findall(timee[0])[0] 51 | item['time'] = int(time.mktime(time.strptime(tm,'%Y-%m-%d %H:%M'))) 52 | item['title'] = title[0] 53 | item['url'] = response.url 54 | cc='' 55 | if(len(content)!=0): 56 | for c in content: 57 | cc = cc+c+'\n' 58 | item['content'] = cc 59 | yield item 60 | -------------------------------------------------------------------------------- /news_spider/news_spider/spiders/TouTiaoSpider.py: -------------------------------------------------------------------------------- 1 | #encoding=utf-8 2 | import scrapy 3 | from news_spider.items import NewsSpiderItem 4 | import json 5 | import time 6 | class TouTiaoSpider(scrapy.Spider): 7 | 8 | name = 'toutiao' 9 | allowed_domains = ["toutiao.com"] 10 | start_urls = [ 11 | 'http://toutiao.com/articles_news_society/p1' 12 | ] 13 | base_class_url = 'http://toutiao.com/articles_news_society' 14 | base_url = 'http://toutiao.com' 15 | #maxpage = 501;#允许爬的最大的页数 16 | maxpage = 5;#允许爬的最大的页数 17 | category = ['articles_news_society','articles_news_entertainment', 18 | 'articles_movie','articles_news_tech','articles_digital', 19 | 'articels_news_sports','articles_news_finance','articles_news_military', 20 | 'articles_news_culture','articles_science_all' 21 | ] 22 | 23 | #请求每一个分类,按页数来 24 | def parse(self,response): 25 | for ctg in self.category: 26 | for page in range(0,self.maxpage): 27 | url = self.base_url+'/'+ctg+'/p'+str(page) 28 | yield scrapy.Request(url,self.parseNewsHref) 29 | 30 | #解析每页新闻列表的地址 31 | def parseNewsHref(self,response): 32 | urls = response.xpath("//div[@class='info']//a/@href").extract() 33 | for url in urls: 34 | news_url = self.base_url+url 35 | yield scrapy.Request(news_url,self.parseNews) 36 | 37 | #解析具体新闻内容 38 | def parseNews(self,response): 39 | articles = response.xpath("//div[@id='pagelet-article']") 40 | item = NewsSpiderItem() 41 | title = articles.xpath("//div[@class='article-header']/h1/text()").extract()[0] 42 | tm = articles.xpath("//div[@id='pagelet-article']//span[@class='time']/text()").extract()[0] 43 | content = articles.xpath("//div[@class='article-content']//p/text()").extract() 44 | 45 | if(len(title)!=0 and len(tm)!=0 and len(content)!=0): 46 | item['title'] = title 47 | item['time'] = int(time.mktime(time.strptime(tm,'%Y-%m-%d %H:%M'))) 48 | item['url'] = response.url 49 | cc='' 50 | if(len(content) != 0): 51 | for c in content: 52 | cc = cc+c+'\n' 53 | item['content'] = cc 54 | yield item 55 | 56 | def printC(self,text): 57 | for t in text: 58 | print t.encode('utf-8') 59 | -------------------------------------------------------------------------------- /news_spider/news_spider/spiders/TouTiaoSpider.py.old: -------------------------------------------------------------------------------- 1 | #coding:cp936 2 | import scrapy 3 | from news_spider.items import NewsSpiderItem 4 | import json 5 | import time 6 | 7 | class TouTiaoSpider(scrapy.Spider): 8 | 9 | name = 'toutiao' 10 | # allowed_domains = ["toutiao.com"] 11 | maxbetime = int(time.time()) 12 | aliastime = int(time.time()*1000) 13 | baseurl = 'http://toutiao.com/api/article/recent/?source=2&count=20&category=__all__&offset=0' 14 | # baseurl = 'http://toutiao.com/api/article/recent/?source=2&count=100&category=news_hot&utm_source=toutiao&offset=0' 15 | start_urls = [baseurl+'&max_behot_time='+str(maxbetime)+'&_='+str(aliastime)] 16 | 17 | def parse(self,response): 18 | print response.url 19 | data = json.loads(response.body) 20 | self.maxbetime = data['next']['max_behot_time'] 21 | for news in data['data']: 22 | item = NewsSpiderItem() 23 | item['title'] = news['title'] 24 | item['abstract'] = news['abstract'] 25 | item['time'] = news['datetime'] 26 | news_url = news['url'] 27 | yield scrapy.Request(news_url,callback=self.parseNews) 28 | nexturl = self.baseurl+'&max_behot_time='+str(self.maxbetime) 29 | yield scrapy.Request(nexturl,callback=self.parse) 30 | 31 | def parseNews(self,response): 32 | print response.xpath("//div[@class='article-content']/p/text()").extract() 33 | 34 | -------------------------------------------------------------------------------- /news_spider/news_spider/spiders/__init__.py: -------------------------------------------------------------------------------- 1 | # This package will contain the spiders of your Scrapy project 2 | # 3 | # Please refer to the documentation for information on how to create and manage 4 | # your spiders. 5 | 6 | -------------------------------------------------------------------------------- /news_spider/scrapy.cfg: -------------------------------------------------------------------------------- 1 | # Automatically created by: scrapy startproject 2 | # 3 | # For more information about the [deploy] section see: 4 | # https://scrapyd.readthedocs.org/en/latest/deploy.html 5 | 6 | [settings] 7 | default = news_spider.settings 8 | 9 | [deploy] 10 | url = http://localhost:6800/ 11 | project = news_spider 12 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | Scrapy==1.7.3 2 | -------------------------------------------------------------------------------- /start.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | echo "Start Crawl..." 4 | cd tools 5 | python Init.py 6 | echo "Init File Done." 7 | cd ../news_spider 8 | scrapy crawlall 9 | echo "Crawl Data Done." 10 | cd ../tools 11 | python preprocess.py 12 | cd ../web 13 | python main.py 1111 14 | -------------------------------------------------------------------------------- /test/test_tool.py: -------------------------------------------------------------------------------- 1 | import sys 2 | sys.path.append("..") 3 | from tools.show import show 4 | import tools.Global as Global 5 | from ml.Cut import Cut 6 | 7 | s = show() 8 | #s.showcount() 9 | #s.shownews(1) 10 | s.showKeyWord() 11 | #s.showitem(2608) 12 | 13 | #c = Cut() 14 | #line = c.getRow(50,Global.cutnews_origin_dir,Global.filesize) 15 | #s.showitem(line) 16 | -------------------------------------------------------------------------------- /testdata/data/inversedata/101.txt: -------------------------------------------------------------------------------- 1 | {"539": 0.25823357635029609} 2 | {"138": 0.248592176392366} 3 | {"515": 0.24152938057327702} 4 | {"974": 0.23651675668928704} 5 | {"268": 0.2426625149458119} 6 | {"395": 0.22774744132521524} 7 | {"1161": 0.23635201329766631} 8 | {"614": 0.2267288051700253} 9 | {"560": 0.22345656713422898, "556": 0.22353183890299699, "500": 0.2165452424728786, "502": 0.20753413044894553, "569": 0.2290159785328261} 10 | {"560": 0.2612410483304467} 11 | {"230": 0.26830704896556989} 12 | {"445": 0.24275496685686304} 13 | {"923": 0.25298141501278726} 14 | {"1414": 0.25939920169006148} 15 | {"1319": 0.42931069736063804, "1111": 0.22267887364279357} 16 | {"548": 0.25235156097471606} 17 | {"754": 0.23913122465631781, "639": 0.2525663559924799} 18 | {"1152": 0.23031913529693829, "562": 0.21764686585164558, "620": 0.21940012113020468, "666": 0.22312552369605007} 19 | {"1152": 0.26191425647098554} 20 | {"276": 0.26108104612077043} 21 | {"1209": 0.25353298207080066} 22 | {"288": 0.25819570709370171} 23 | {"14": 0.24779960705023818} 24 | {"14": 0.24779960705023818} 25 | {"538": 0.24663965265200119} 26 | {"666": 0.24018943703952303, "1165": 0.23130534164592734} 27 | {"565": 0.22537008065000699} 28 | {"651": 0.24837484832934656} 29 | {"944": 0.24981562677095739, "841": 0.23132739296446989} 30 | {"138": 0.248592176392366} 31 | {"447": 0.24332475491428421} 32 | {"517": 0.23900174542024} 33 | {"1378": 0.23305683376606579} 34 | {"1210": 0.23999554921901387} 35 | {"585": 0.21728588187518361} 36 | {"674": 0.24046207318157189} 37 | {"253": 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/testdata/data/inversedata/141.txt: -------------------------------------------------------------------------------- 1 | {"1021": 0.25379112970311646} 2 | {"971": 0.24179686540198014} 3 | {"721": 0.25056890784492736} 4 | {"980": 0.24432677329467725, "647": 0.24167735861641795} 5 | {"716": 0.26097297130830149} 6 | {"448": 0.24022113964425762} 7 | {"435": 0.24239174377968339} 8 | {"218": 0.24773372832203236} 9 | {"602": 0.24083977279741539} 10 | {"777": 0.23744149729161823} 11 | {"438": 0.2374424098372788} 12 | {"376": 0.24148825587497375, "51": 0.23268158203769357} 13 | {"51": 0.24580260072609389} 14 | {"317": 0.249746273546289, "573": 0.2443389515691968} 15 | {"452": 0.23541534692290969} 16 | {"1155": 0.24542475723208165} 17 | {"1302": 0.23125997136708776} 18 | {"976": 0.26246462123729392} 19 | {"484": 0.22477769295985867} 20 | {"610": 0.24621080524329206} 21 | {"1331": 0.24304674583569311} 22 | {"505": 0.25481952365730953} 23 | {"369": 0.22640597465329518, "882": 0.22855863885048783, 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{"450": 0.22692185235748336} 100 | {"450": 0.22692185235748336} 101 | -------------------------------------------------------------------------------- /testdata/data/inversedata/88.txt: -------------------------------------------------------------------------------- 1 | {"490": 0.24079394906590915, "494": 0.24346465039327847} 2 | {"65": 0.2406684633008232} 3 | {"429": 0.22978939604146817} 4 | {"1378": 0.22061618805169628, "1430": 0.24352128132983486} 5 | {"368": 0.2457275561553835, "735": 0.24015567572964855} 6 | {"718": 0.36652381896066799} 7 | {"152": 0.2300220806728295, "5": 0.2300220806728295, "646": 0.21984445081497875} 8 | {"690": 0.24575318885035274} 9 | {"1378": 0.21178940944564797, "1410": 0.21222917101927044, "854": 0.21723091456272231} 10 | {"1302": 0.23125997136708776} 11 | {"429": 0.22978939604146817} 12 | {"513": 0.2421764047236647} 13 | {"513": 0.2421764047236647} 14 | {"535": 0.25019222296050547} 15 | {"535": 0.25019222296050547} 16 | {"535": 0.25019222296050547} 17 | 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-------------------------------------------------------------------------------- 1 | {"161": 0.25818918282360626} 2 | {"162": 0.2628888227392645, "4": 0.25401581799836126} 3 | {"1131": 0.25482859854252937} 4 | {"880": 0.23224997895001726, "1044": 0.23426430709122045} 5 | {"728": 0.24107912407442844} 6 | {"1452": 0.2473087545358886} 7 | {"736": 0.23795542119022442} 8 | {"808": 0.22966934301711817} 9 | {"1198": 0.25757908231636129} 10 | {"313": 0.25213155911058444} 11 | {"1406": 0.24133143911979954} 12 | {"304": 0.22858971523258798, "769": 0.21775969836075326, "1178": 0.29269832186951567, "77": 0.22858971523258798} 13 | {"436": 0.24510479327993387} 14 | {"617": 0.25888070620540204} 15 | {"1437": 0.24494570292331846} 16 | {"89": 0.21094379833120713, "932": 0.22163256261240571, "372": 0.20917376377495944} 17 | {"1224": 0.25298330964960825} 18 | {"371": 0.25107129607391537} 19 | {"808": 0.22966934301711817} 20 | {"65": 0.22782150645272398, "955": 0.25634374485032246} 21 | {"1111": 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{"69": 0.25609801196027543} 50 | {"1170": 0.24316980621711445} 51 | {"111": 0.25386461117256487} 52 | {"1121": 0.21519050254573152, "900": 0.20661333530656292, "392": 0.20066605068221488, "754": 0.21095229736779655, "1429": 0.2000163927271002, "441": 0.21307418067662873} 53 | {"393": 0.25336955937313704} 54 | {"1409": 0.22876936141504556} 55 | {"1137": 0.24709738192325972} 56 | {"584": 0.23683642187613047} 57 | {"1126": 0.24162568160669837} 58 | {"648": 0.21783388913759746, "929": 0.22072277789401287, "1371": 0.20480414391421972, "1223": 0.21043858252198763, "1121": 0.22042015263293735} 59 | {"1415": 0.41183001022472387} 60 | {"456": 0.21756462522150471, "531": 0.22192584538239954, "458": 0.21500705142465501, "459": 0.23145892192389744} 61 | {"1272": 0.23503597270616672} 62 | {"1397": 0.23441627090716988} 63 | {"1116": 0.33131635286037159} 64 | {"254": 0.2493221348097317} 65 | {"1430": 0.24352128132983486, "807": 0.22391467379233229} 66 | {"305": 0.25595933572749785} 67 | {"394": 0.25427681795687679} 68 | {"825": 0.24861109460439329} 69 | {"299": 0.24464989330140266} 70 | {"1323": 0.24841617601474625} 71 | {"1348": 0.24362777054768145} 72 | {"344": 0.24577196706190349} 73 | {"1169": 0.24399045819159293} 74 | {"1169": 0.24399045819159293} 75 | {"715": 0.18320580843576575, "996": 0.19639378694468071, "616": 0.19981881614210426, "42": 0.20193880950806342, "107": 0.20295203578257431, "1356": 0.1927799586755487, "1455": 0.19103816359149733, "50": 0.18557911589654208, "1219": 0.2108226820610451, "820": 0.19572860037601489, "1367": 0.1926397233784802, "605": 0.19337548607569283} 76 | {"1224": 0.25298330964960825} 77 | {"45": 0.23580383043605016} 78 | {"609": 0.24231451085058661} 79 | {"321": 0.25337029149150869} 80 | {"179": 0.25125350280644027, "597": 0.24342550801304741} 81 | {"1316": 0.25230411504345268} 82 | {"870": 0.24596124548799769} 83 | {"323": 0.24390773941995386} 84 | {"236": 0.23921974782980776} 85 | {"1438": 0.23957929319362631} 86 | {"255": 0.26131139930704861} 87 | {"12": 0.23698111063828853} 88 | {"730": 0.22615028654792624, "807": 0.22391467379233229} 89 | {"709": 0.25510384173651074} 90 | {"58": 0.23994372682396051} 91 | {"1044": 0.2474745763546945} 92 | {"429": 0.22978939604146817} 93 | {"395": 0.22774744132521524} 94 | {"516": 0.24882493385961807, "140": 0.23885441268404636, "301": 0.23134334481692884} 95 | {"634": 0.24541773560911118, "516": 0.24882493385961807, "367": 0.23705167025354593} 96 | {"207": 0.25150568058850115} 97 | {"1389": 0.23557820392990564} 98 | {"880": 0.23224997895001726, "1044": 0.23426430709122045} 99 | {"1422": 0.32514570112616104} 100 | {"1378": 0.23305683376606579} 101 | -------------------------------------------------------------------------------- /testdata/data/title.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lzjqsdd/NewsSpider/58c576eddaca753f76395db28a05154779db62c3/testdata/data/title.json -------------------------------------------------------------------------------- /tools/Global.py: -------------------------------------------------------------------------------- 1 | #-*- coding: utf-8 -*- 2 | 3 | #项目根目录 4 | project_root="../testdata/" 5 | #project_root="../" 6 | #抓取内容不包含新闻正文的数据文件 7 | title_dir = project_root+"data/title.json" 8 | #抓取内容包含新闻正文内容的数据文件 9 | content_dir=project_root+"data/news.json" 10 | #以sqlite文件存放的数据，暂未用到 11 | db_dir = project_root+"data/news.db" 12 | #停用词文件位置 13 | #stopword_dir=project_root+"data/stopword.txt" 14 | stopword_dir="stopword.txt" 15 | #倒排索引的文件目录，以分块方式存储，包含的id.txt为字典 16 | inverse_dir=project_root+"data/inversedata/" 17 | #对抓取新闻分块切割，并提取关键词后的位置 18 | cutnews_dir=project_root+"data/cutnews/" 19 | #只做简单的分割，方便索引新闻的展示 20 | cutnews_origin_dir=project_root+"data/orinews" 21 | #每个分块文件记录的条数 22 | filesize = 100 23 | #控制摘要的大小 24 | snippetsize = 500 25 | #控制首页新闻的个数，避免加载过多 26 | listsize = 15 27 | -------------------------------------------------------------------------------- /tools/Init.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | 3 | # Define your item pipelines here 4 | # 5 | # Don't forget to add your pipeline to the ITEM_PIPELINES setting 6 | # See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html 7 | import sys 8 | sys.path.append("..") 9 | import tools.Global as Global 10 | import os 11 | 12 | #init project_root 13 | print "Make Data Root Dir..." 14 | if not os.path.exists(Global.project_root): 15 | os.makedirs(Global.project_root) 16 | if not os.path.exists(Global.project_root+'data'): 17 | os.makedirs(Global.project_root+'data') 18 | if not os.path.exists(Global.inverse_dir): 19 | os.makedirs(Global.inverse_dir) 20 | print 'Done.' 21 | print 'Create Data File...' 22 | if not os.path.exists(Global.content_dir): 23 | f = open(Global.content_dir,'w') 24 | f.close() 25 | if not os.path.exists(Global.title_dir): 26 | f = open(Global.title_dir,'w') 27 | f.close() 28 | print 'Done.' 29 | -------------------------------------------------------------------------------- /tools/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lzjqsdd/NewsSpider/58c576eddaca753f76395db28a05154779db62c3/tools/__init__.py -------------------------------------------------------------------------------- /tools/news2db.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | #!/usr/bin/python 3 | import json 4 | import re 5 | import sqlite3 6 | import sys 7 | import Global 8 | reload(sys) 9 | sys.setdefaultencoding('utf-8') 10 | 11 | file = open(Global.content_dir) 12 | conn = sqlite3.connect('news.db') 13 | 14 | # Check table is exist 15 | # Method 1 16 | # cursor = conn.execute("SELECT count(*) FROM sqlite_master WHERE type='table' AND name='news';") 17 | # result = cursor.fetchone()[0] 18 | # Method 2 19 | conn.execute("CREATE TABLE IF NOT EXISTS news (title, content, time, url)") 20 | conn.commit() 21 | 22 | while 1: 23 | line = file.readline() 24 | if not line: 25 | break 26 | line = re.sub("'","’",line) 27 | data = json.loads(line) 28 | insertsql = "insert into news(title,content,time,url) values ('"+str(data['title']).decode('utf-8')+"','"+str(data['content'])+"','"+str(data['time']).decode('utf-8')+"','"+str(data['url']).decode('utf-8')+"')" 29 | print data['title'].decode('utf-8') 30 | conn.execute(insertsql) 31 | conn.commit() 32 | 33 | conn.close() 34 | -------------------------------------------------------------------------------- /tools/preprocess.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import json 3 | import sys 4 | reload(sys) 5 | sys.path.append("..") 6 | import Global 7 | sys.setdefaultencoding( "utf-8" ) 8 | from ml.Cut import Cut 9 | from ml.InverseIndex import InverseIndex 10 | 11 | print "Cut Data......." 12 | cut = Cut() 13 | cut.cutfileWithoutCut(Global.cutnews_origin_dir,Global.content_dir,Global.filesize) 14 | cut.cutfile(Global.cutnews_dir,Global.content_dir,Global.filesize) 15 | print "Done." 16 | 17 | print "Create Invese Index" 18 | ii = InverseIndex() 19 | ii.CalcTFIDF() 20 | print "Done." 21 | 22 | -------------------------------------------------------------------------------- /tools/show.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import json 3 | import sys 4 | reload(sys) 5 | import Global 6 | sys.setdefaultencoding( "utf-8" ) 7 | 8 | 9 | class show: 10 | def shownews(self,type): 11 | f = open(Global.content_dir,'r') 12 | while True: 13 | line = f.readline() 14 | if not line: 15 | break 16 | data = json.loads(line) 17 | if type == 1: 18 | print "-->",data['time'],data['title'],data['url'],data['content'] 19 | else: 20 | print "-->",data['time'],data['title'],data['url'] 21 | f.close() 22 | 23 | def showcount(self): 24 | f = open(Global.content_dir,'r') 25 | c=0 26 | while True: 27 | line = f.readline() 28 | if not line: 29 | break 30 | c+=1 31 | f.close() 32 | print c 33 | return c 34 | 35 | def showitem(self,line): 36 | data = json.loads(line) 37 | print "-->",data['time'],data['title'],data['url'],data['content'] 38 | 39 | 40 | def showKeyWord(self): 41 | f = open(Global.inverse_dir+'id.txt','r') 42 | line = f.readline() 43 | data = json.loads(line) 44 | print 'load keyword done.' 45 | print type(data) 46 | print len(data) 47 | # for k in data.keys(): 48 | # print k,data[k] 49 | 50 | -------------------------------------------------------------------------------- /web/main.py: -------------------------------------------------------------------------------- 1 | import web 2 | import sys 3 | sys.path.append("..") 4 | from ml.Search import Search 5 | 6 | render = web.template.render('templates/') 7 | 8 | urls=( 9 | "/","index", 10 | "/news","news" 11 | ) 12 | 13 | app = web.application(urls,globals()) 14 | 15 | class index: 16 | def __init__(self): 17 | self.se = Search() 18 | def GET(self): 19 | data = web.input() 20 | if data: 21 | searchword = data.searchword 22 | else: 23 | searchword = '' 24 | newslist=list() 25 | if searchword: 26 | newslist = self.se.QueryByTime(searchword) 27 | return render.index(searchword,newslist) 28 | 29 | class news: 30 | def __init__(self): 31 | self.se = Search() 32 | def GET(self): 33 | data = web.input() 34 | if data: 35 | ID = data.id 36 | else: 37 | ID='' 38 | news = self.se.QueryById(ID) 39 | return render.news(news) 40 | 41 | if __name__ == "__main__": 42 | app = web.application(urls,globals()) 43 | app.run() 44 | -------------------------------------------------------------------------------- /web/templates/index.html: -------------------------------------------------------------------------------- 1 | $def with(searchword,newslist) 2 | 3 | 4 | 5 | 6 | 新闻聚合搜索引擎 7 | 8 | 9 | 10 | 11 | 12 | 13 |
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17 | 18 | 19 | 20 | 21 |
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26 | 27 | $if len(newslist) > 0: 28 | $for news in newslist: 29 |
30 |
31 |
32 | 时间:$news['time'] $news['title'] 33 |
34 |
35 | $news['content'] ... 查看全文>>> 36 |

37 | 原始网页链接:$news['url'] 38 |
39 |
40 |
41 | $else: 42 |
43 |
44 |
45 | 未检索到相关新闻 46 |
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50 |
51 | 52 | 53 | 54 | -------------------------------------------------------------------------------- /web/templates/news.html: -------------------------------------------------------------------------------- 1 | $def with(news) 2 | 3 | 4 | 5 | 6 | 新闻聚合搜索引擎 7 | 8 | 9 | 10 | 11 | 12 | 13 | $if news: 14 |
15 |
16 |
17 |
18 | $news['time'] $news['title'] 19 |
20 |
21 | $news['content'] 22 |

23 | 原始网页链接:$news['url'] 24 |
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26 |
27 |
28 |
29 |
相关新闻
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40 | 41 | 42 | 43 | --------------------------------------------------------------------------------