def crawl_page(self, req_url, req_data=None, req_referer=None):
'''页面抓取的公共方法'''
response = None
try:
# req = self.__get_req(req_url, req_data, req_referer)
debug_handler = urllib2.HTTPHandler(debuglevel=0)
opener = urllib2.build_opener(debug_handler, RedirctHandler)
headers = Headers
if req_referer:
headers['Referer'] = req_referer
opener.handlers.append(headers)
response = opener.open(req_url, timeout=20)
# response = urllib2.urlopen(req,timeout=1000)
html = ''
status = response.getcode()
if status == 200:
html = response.read()
return status, html
except urllib2.URLError, e:
if hasattr(e, 'code'):
logger.error("URLError, code is :%s" % e.code)
return e.code, ''
elif hasattr(e, 'reason'):
logger.error("URLError, code is :%s" % e.reason)
return e.reason, ''
def get_compnewsurls(code_names_file, url_prefix, finance_homes=None):
'''产生上市公司新闻频道的urls
@param code_names_file: 公司上市代码列表
@param url_prefix: 拼接上市公司新闻url的前缀
@param finance_homes: 财经频道首页地址
'''
if code_names_file is None or url_prefix is None:
logger.error(' code_names_file or url_prefix is None')
return []
news_chanel_urls = []
if finance_homes and len(finance_homes) > 0:
for f_home in finance_homes:
news_chanel_urls.append((FINANCE_HOME, f_home))
try:
path = os.path.realpath(__file__)
path = os.path.dirname(path)
lspath = os.path.split(path)
if lspath[0] and lspath[1]:
code_names_file = lspath[0] + '/data/' + code_names_file
for code_name in open(code_names_file):
if code_name and len(code_name) > 0:
cols = code_name.split('\t')
if cols and len(cols) > 1:
news_chanel_urls.append((cols[0], url_prefix + cols[0]))
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
return news_chanel_urls
def get_compnewsurls(code_names_file,url_prefix,finance_homes=None):
'''产生上市公司新闻频道的urls
@param code_names_file: 公司上市代码列表
@param url_prefix: 拼接上市公司新闻url的前缀
@param finance_homes: 财经频道首页地址
'''
if code_names_file is None or url_prefix is None:
logger.error(' code_names_file or url_prefix is None')
return []
news_chanel_urls = []
if finance_homes and len(finance_homes) > 0:
for f_home in finance_homes:
news_chanel_urls.append((FINANCE_HOME,f_home))
try:
path = os.path.realpath(__file__)
path = os.path.dirname(path)
lspath = os.path.split(path)
if lspath[0] and lspath[1]:
code_names_file = lspath[0] + '/data/' + code_names_file
for code_name in open(code_names_file):
if code_name and len(code_name) > 0:
cols = code_name.split('\t')
if cols and len(cols) > 1:
news_chanel_urls.append((cols[0],url_prefix + cols[0]))
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
return news_chanel_urls
def go_yahoo():
'''抓取雅虎的所有公司'''
baseCrawl = BaseCrawl()
baseExtract = BaseExtract()
cxn_db = None
try:
cxn_db = get_cxn_db()
cur_db = cxn_db.cursor()
in_sql = """ insert into yahoo_comps (code_name,crawl_time,return_type,add_time,count)
values (%s,now(),%s,now(),1)
on duplicate key update crawl_time = now(),return_type = %s,count=count+1 """
code_names = get_comps()
logger.info("number of companys is %d"%len(code_names))
for code in code_names:
logger.debug("crawl %s, start............ "%code)
status,headlines_links = go_crawl_headlines(code,baseCrawl,baseExtract)
cur_db.execute(in_sql,(code,status,status))
if status == 0 and len(headlines_links) > 0:
extract_headlines_news(code,headlines_links,cur_db)
logger.debug("crawl %s, end.............. "%code)
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
finally:
if cxn_db:
cxn_db.close()
def go_yahoo():
'''抓取雅虎的所有公司'''
baseCrawl = BaseCrawl()
baseExtract = BaseExtract()
cxn_db = None
try:
cxn_db = get_cxn_db()
cur_db = cxn_db.cursor()
in_sql = """ insert into yahoo_comps (code_name,crawl_time,return_type,add_time,count)
values (%s,now(),%s,now(),1)
on duplicate key update crawl_time = now(),return_type = %s,count=count+1 """
code_names = get_comps()
logger.info("number of companys is %d" % len(code_names))
for code in code_names:
logger.debug("crawl %s, start............ " % code)
status, headlines_links = go_crawl_headlines(
code, baseCrawl, baseExtract)
cur_db.execute(in_sql, (code, status, status))
if status == 0 and len(headlines_links) > 0:
extract_headlines_news(code, headlines_links, cur_db)
logger.debug("crawl %s, end.............. " % code)
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
finally:
if cxn_db:
cxn_db.close()
def crawl_page(self, req_url, req_data=None , req_referer=None):
'''页面抓取的公共方法'''
response = None
try:
# req = self.__get_req(req_url, req_data, req_referer)
debug_handler = urllib2.HTTPHandler(debuglevel = 0)
opener = urllib2.build_opener(debug_handler, RedirctHandler)
headers = Headers
if req_referer:
headers['Referer'] = req_referer
opener.handlers.append(headers)
response = opener.open(req_url,timeout=20)
# response = urllib2.urlopen(req,timeout=1000)
html = ''
status = response.getcode()
if status == 200:
html = response.read()
return status,html
except urllib2.URLError, e:
if hasattr(e, 'code'):
logger.error("URLError, code is :%s" % e.code)
return e.code,''
elif hasattr(e, 'reason'):
logger.error("URLError, code is :%s" % e.reason)
return e.reason,''
def go_newsextrac(source_type, code_names_file, url_prefix, req_referer,
finance_homes, extracteNewsurls):
'''抓取所有的新闻链接、抽取并存储
@param source_type: 抓取来源：比如yahoo、google等
@param code_names_file: 公司上市代码列表
@param url_prefix: 拼接上市公司新闻url的前缀
@param req_referer: 抓取前连，防封禁
@param finance_homes: 财经频道首页地址
@param extracteNewsurls: 个性化的抽取对象
'''
baseCrawl = BaseCrawl()
baseExtract = BaseExtract()
cxn_db = None
try:
cxn_db = get_cxn_db()
cur_db = cxn_db.cursor()
#构造一个boolm filter
initUrlsBloomFilter(cur_db, source_type)
in_sql = """ insert into com_news_extract_state (url,code_name,crawl_time,return_type,add_time,crawl_count,source_type)
values (%s,%s,now(),%s,now(),1,%s)
on duplicate key update crawl_time = now(),return_type = %s,crawl_count=crawl_count+1,source_type = %s """
news_chanel_urls = get_compnewsurls(code_names_file, url_prefix,
finance_homes)
logger.info("number of companys is %d" % len(news_chanel_urls))
for code, news_chanel_url in news_chanel_urls:
logger.debug("crawl %s, start............ " % news_chanel_url)
is_finance_home = False
if code == FINANCE_HOME:
is_finance_home = True
status, news_links = extracteNewsurls.extracte(news_chanel_url,
is_finance_home,
baseCrawl,
baseExtract,
req_referer,
try_times=1)
cur_db.execute(in_sql, (news_chanel_url, code, status, source_type,
status, source_type))
if status == 0 and len(news_links) > 0:
extract_news(code, news_links, source_type, cur_db)
logger.debug("crawl %s, end.............. " % code)
logger.info("number of news url is %s" % NEWS_URL_EXTRACTE)
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
finally:
if cxn_db:
cxn_db.close()
def get_cxn_db():
'''获取数据库的连接'''
try:
return MySQLdb.connect(host=DB_HOST,
user=DB_USER,
passwd=DB_PASSWD,
db=DB_NAME,
port=DB_PORT,
charset='UTF8')
except:
logger.error('create mysql connect error' + ',Except: ' +
traceback.format_exc())
return None
def extracte(self,
news_chanel_url,
is_finance_home,
baseCrawl,
baseExtract,
req_referer,
try_times=1):
'''抽取频道首页或者每个公司新闻频道中得所有urls,
每个页面最多抓取 MAX_TRY_TIMES+1 次
@param news_chanel_url: 抓取的链接，
@param is_finance_home:是否是finance_home，可能需要单独处理
@param baseCrawl: 封装的抓取基类
@param baseExtract: 封装的抽取基类
@param try_times: 重试次数
@return: 抓取状态，抽取的新闻链接
'''
logger.info("crawl %s, %d time" % (news_chanel_url, try_times))
time.sleep(IDEL_TIME * (try_times - 1))
status = 2
html = ''
try:
status, html = baseCrawl.crawl_page(news_chanel_url,
req_referer=req_referer)
#返回频道下面所有新闻链接
news_links = []
if status == 200:
status = 0
logger.info("crawl %s, success " % news_chanel_url)
news_links = self.extracteUrls(baseExtract, html,
is_finance_home)
elif status in [301, 302]:
status = 1
logger.info("crawl %s, no data,fail" % news_chanel_url)
else:
if try_times <= MAX_TRY_TIMES:
return self.extracte(news_chanel_url, is_finance_home,
baseCrawl, baseExtract, req_referer,
try_times + 1)
else:
status = 2
logger.error("crawl %s, %d time,fail" %
(news_chanel_url, try_times))
except:
logger.error("crawl %s, failed ,Error:%s" %
(news_chanel_url, traceback.format_exc()))
return status, news_links
def go_newsextrac(source_type,code_names_file,url_prefix,req_referer,finance_homes,extracteNewsurls):
'''抓取所有的新闻链接、抽取并存储
@param source_type: 抓取来源：比如yahoo、google等
@param code_names_file: 公司上市代码列表
@param url_prefix: 拼接上市公司新闻url的前缀
@param req_referer: 抓取前连，防封禁
@param finance_homes: 财经频道首页地址
@param extracteNewsurls: 个性化的抽取对象
'''
baseCrawl = BaseCrawl()
baseExtract = BaseExtract()
cxn_db = None
try:
cxn_db = get_cxn_db()
cur_db = cxn_db.cursor()
#构造一个boolm filter
initUrlsBloomFilter(cur_db,source_type)
in_sql = """ insert into com_news_extract_state (url,code_name,crawl_time,return_type,add_time,crawl_count,source_type)
values (%s,%s,now(),%s,now(),1,%s)
on duplicate key update crawl_time = now(),return_type = %s,crawl_count=crawl_count+1,source_type = %s """
news_chanel_urls = get_compnewsurls(code_names_file,url_prefix,finance_homes)
logger.info("number of companys is %d"%len(news_chanel_urls))
for code,news_chanel_url in news_chanel_urls:
logger.debug("crawl %s, start............ "%news_chanel_url)
is_finance_home = False
if code == FINANCE_HOME:
is_finance_home = True
status,news_links = extracteNewsurls.extracte(news_chanel_url,is_finance_home,baseCrawl,baseExtract,req_referer,try_times = 1)
cur_db.execute(in_sql,(news_chanel_url,code,status,source_type,status,source_type))
if status == 0 and len(news_links) > 0:
extract_news(code,news_links,source_type,cur_db)
logger.debug("crawl %s, end.............. "%code)
logger.info("number of news url is %s"%NEWS_URL_EXTRACTE)
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
finally:
if cxn_db:
cxn_db.close()
def get_comps():
'''从文件中获取所有的上市公司名单'''
code_names = []
try:
code_names_file = '../data/code_name_vol.lst'
path = os.path.realpath(__file__)
path = os.path.dirname(path)
lspath = os.path.split(path)
if lspath[0] and lspath[1]:
code_names_file = lspath[0] + '/data/code_name_vol.lst'
for code_name in open(code_names_file):
if code_name and len(code_name) > 0:
cols = code_name.split('\t')
if cols and len(cols) > 1:
code_names.append(cols[0])
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
return code_names
def get_comps():
'''从文件中获取所有的上市公司名单'''
code_names = []
try:
code_names_file = '../data/code_name_vol.lst'
path = os.path.realpath(__file__)
path = os.path.dirname(path)
lspath = os.path.split(path)
if lspath[0] and lspath[1]:
code_names_file = lspath[0] + '/data/code_name_vol.lst'
for code_name in open(code_names_file):
if code_name and len(code_name) > 0:
cols = code_name.split('\t')
if cols and len(cols) > 1:
code_names.append(cols[0])
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
return code_names
def go_crawl_headlines(code_name, baseCrawl, baseExtract, try_times=1):
'''雅虎金融每个公司页面的新闻抓取的抓取,每个页面最多抓取 MAX_TRY_TIMES+1 次
@param req_url: 抓取的链接，形如：http://finance.yahoo.com/q/h?s=bidu
@param baseCrawl: 封装的抓取基类
@param baseExtract: 封装的抽取基类
@param try_times: 重试次数
@return: 抓取状态，抽取的新闻链接，
'''
req_url = 'http://finance.yahoo.com/q/h?s=%s' % code_name
logger.info("crawl %s, %d time" % (req_url, try_times))
time.sleep(IDEL_TIME * try_times)
status, html = baseCrawl.crawl_page(req_url, req_referer=REQ_REFER)
#返回新闻链接
headlines_links = []
if status == 200:
status = 0
logger.info("crawl %s, success " % req_url)
beautifulSoup = baseExtract.get_bs(html)
content = beautifulSoup.find(
'div', {'class': 'mod yfi_quote_headline withsky'})
if content is None:
logger.info("extract %s is none " % req_url)
else:
for link in beautifulSoup.findAll('a'):
headlines_links.append(link.get('href'))
elif status in [301, 302]:
status = 1
logger.info("crawl %s, no data,fail" % req_url)
else:
if try_times <= MAX_TRY_TIMES:
return go_crawl_headlines(req_url, baseCrawl, baseExtract,
try_times + 1)
else:
status = 2
logger.error("crawl %s, %d time,fail" % (req_url, try_times))
return status, headlines_links
def extracte(self,news_chanel_url,is_finance_home,baseCrawl,baseExtract,req_referer,try_times = 1):
'''抽取频道首页或者每个公司新闻频道中得所有urls,
每个页面最多抓取 MAX_TRY_TIMES+1 次
@param news_chanel_url: 抓取的链接，
@param is_finance_home:是否是finance_home，可能需要单独处理
@param baseCrawl: 封装的抓取基类
@param baseExtract: 封装的抽取基类
@param try_times: 重试次数
@return: 抓取状态，抽取的新闻链接
'''
logger.info("crawl %s, %d time"%(news_chanel_url,try_times))
time.sleep(IDEL_TIME * (try_times-1))
status = 2
html = ''
try:
status,html = baseCrawl.crawl_page(news_chanel_url, req_referer = req_referer)
#返回频道下面所有新闻链接
news_links = []
if status == 200:
status = 0
logger.info("crawl %s, success "%news_chanel_url)
news_links = self.extracteUrls(baseExtract,html, is_finance_home)
elif status in [301,302]:
status = 1
logger.info("crawl %s, no data,fail"%news_chanel_url)
else:
if try_times <= MAX_TRY_TIMES:
return self.extracte(news_chanel_url,is_finance_home, baseCrawl, baseExtract, req_referer, try_times+1)
else:
status = 2
logger.error("crawl %s, %d time,fail"%(news_chanel_url,try_times))
except:
logger.error("crawl %s, failed ,Error:%s" % (news_chanel_url,traceback.format_exc()))
return status,news_links
def go_crawl_headlines(code_name,baseCrawl,baseExtract,try_times = 1):
'''雅虎金融每个公司页面的新闻抓取的抓取,每个页面最多抓取 MAX_TRY_TIMES+1 次
@param req_url: 抓取的链接，形如：http://finance.yahoo.com/q/h?s=bidu
@param baseCrawl: 封装的抓取基类
@param baseExtract: 封装的抽取基类
@param try_times: 重试次数
@return: 抓取状态，抽取的新闻链接，
'''
req_url = 'http://finance.yahoo.com/q/h?s=%s'%code_name
logger.info("crawl %s, %d time"%(req_url,try_times))
time.sleep(IDEL_TIME * try_times)
status,html = baseCrawl.crawl_page(req_url, req_referer = REQ_REFER)
#返回新闻链接
headlines_links = []
if status == 200:
status = 0
logger.info("crawl %s, success "%req_url)
beautifulSoup = baseExtract.get_bs(html)
content = beautifulSoup.find('div', {'class':'mod yfi_quote_headline withsky'})
if content is None:
logger.info("extract %s is none "%req_url)
else:
for link in beautifulSoup.findAll('a'):
headlines_links.append(link.get('href'))
elif status in [301,302]:
status = 1
logger.info("crawl %s, no data,fail"%req_url)
else:
if try_times <= MAX_TRY_TIMES:
return go_crawl_headlines(req_url,baseCrawl,baseExtract,try_times+1)
else:
status = 2
logger.error("crawl %s, %d time,fail"%(req_url,try_times))
return status,headlines_links
def extract_news(code,news_links,crawl_source,cursor):
'''抽取新闻，并进行NLP
@param code: 上市公司编码
@param news_links: 需要抽取的新闻链接
@param crawl_source
@param cursor: 数据库游标
'''
in_sql = """ INSERT INTO news_extract_content(url_md5,url,code_name,newspaper_title,newspaper_text,
newspaper_authors,newspaper_summary,newspaper_keywords,boilerpipe_article,
boilerpipe_articlesentences,boilerpipe_keepeverything,boilerpipe_largestcontent,
boilerpipe_numwordsrules,boilerpipe_canola,up_time,add_time,extract_count,crawl_source)
VALUES
(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,now(),now(),1,%s)
on duplicate key update code_name = %s,newspaper_title = %s,newspaper_text = %s,
newspaper_authors = %s,newspaper_summary = %s,newspaper_keywords = %s,
boilerpipe_article = %s,boilerpipe_articlesentences = %s,boilerpipe_keepeverything = %s,
boilerpipe_largestcontent = %s,boilerpipe_numwordsrules = %s,boilerpipe_canola = %s,
up_time = now(),extract_count=extract_count+1,crawl_source = %s """
for link in news_links:
#长度小于30的url一般都不是新闻连接,暴力，简单可依赖
if link is None or len(link) <= 30:
continue
#已经抓取的url就不需要抓取了
if link in bf:
continue
try:
global NEWS_URL_EXTRACTE
NEWS_URL_EXTRACTE += 1
url_md5 = hashlib.md5(link).hexdigest()
#首先让使用newspaper
newspaper_title = ''
newspaper_text = ''
newspaper_authors = ''
newspaper_summary = ''
newspaper_keywords = ''
article = Article(link)
article.download()
html = article.html
if html is None or len(html) == 0:
continue
article.parse()
if article.text and len(article.text) > 0:
newspaper_title = article.title
newspaper_text = article.text
newspaper_authors = article.authors
if newspaper_authors and len(newspaper_authors) > 0:
newspaper_authors = ','.join(newspaper_authors)
else:
newspaper_authors = ''
article.nlp()
newspaper_summary = article.summary
newspaper_keywords = article.keywords
if newspaper_keywords and len(newspaper_keywords) > 0:
newspaper_keywords = ','.join(newspaper_keywords)
else:
newspaper_keywords = ''
#然后使用boilerpipe
extractor = Extractor(extractor='ArticleExtractor',html = html)
boilerpipe_article = extractor.getText()
extractor = Extractor(extractor='ArticleSentencesExtractor',html = html)
boilerpipe_articlesentences = extractor.getText()
extractor = Extractor(extractor='KeepEverythingExtractor',html = html)
boilerpipe_keepeverything = extractor.getText()
extractor = Extractor(extractor='LargestContentExtractor',html = html)
boilerpipe_largestcontent = extractor.getText()
extractor = Extractor(extractor='NumWordsRulesExtractor',html = html)
boilerpipe_numwordsrules = extractor.getText()
extractor = Extractor(extractor='CanolaExtractor',html = html)
boilerpipe_canola = extractor.getText()
#输入的参数
content = (url_md5,link,code, newspaper_title, newspaper_text, newspaper_authors,newspaper_summary,newspaper_keywords,\
boilerpipe_article,boilerpipe_articlesentences,boilerpipe_keepeverything,boilerpipe_largestcontent,\
boilerpipe_numwordsrules,boilerpipe_canola,crawl_source, \
code, newspaper_title,newspaper_text, newspaper_authors,\
newspaper_summary,newspaper_keywords,boilerpipe_article,boilerpipe_articlesentences,boilerpipe_keepeverything,\
boilerpipe_largestcontent,boilerpipe_numwordsrules,boilerpipe_canola,crawl_source)
cursor.execute(in_sql,content)
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
html = ''
status = response.getcode()
if status == 200:
html = response.read()
return status,html
except urllib2.URLError, e:
if hasattr(e, 'code'):
logger.error("URLError, code is :%s" % e.code)
return e.code,''
elif hasattr(e, 'reason'):
logger.error("URLError, code is :%s" % e.reason)
return e.reason,''
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
return -100,''
finally:
if response:
response.close()
class BaseExtract(object):
'''页面抽取基类'''
def get_bs(self, markup, parser='lxml', page_encoding=None):
'''获取定制的BS
@param markup: 网页内容
@param parser: 解析器，替换html.parser默认使用 lxml解析,very fast
解析器有：lxml>html.parser>html5lib
@param page_encoding: 网页编码
'''
return BeautifulSoup(markup, features=parser, from_encoding=page_encoding)
def extract_headlines_news(code,headlines_links,cursor):
'''抽取yahoo的新闻链接并解析'''
in_sql = """ INSERT INTO yahoo_comp_news(url_md5,url,code_name,newspaper_title,newspaper_text,
newspaper_authors,newspaper_summary,newspaper_keywords,boilerpipe_article,
boilerpipe_articlesentences,boilerpipe_keepeverything,boilerpipe_largestcontent,
boilerpipe_numwordsrules,boilerpipe_canola,up_time,add_time,count)
VALUES
(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,now(),now(),1)
on duplicate key update code_name = %s,newspaper_title = %s,newspaper_text = %s,
newspaper_authors = %s,newspaper_summary = %s,newspaper_keywords = %s,
boilerpipe_article = %s,boilerpipe_articlesentences = %s,boilerpipe_keepeverything = %s,
boilerpipe_largestcontent = %s,boilerpipe_numwordsrules = %s,boilerpipe_canola = %s,
up_time = now(),count=count+1 """
for link in headlines_links:
#长度小于35的url一般都不是新闻连接
if link is None or len(link) <= 35:
continue
try:
url_md5 = hashlib.md5(link).hexdigest()
#首先让使用newspaper
newspaper_title = ''
newspaper_text = ''
newspaper_authors = ''
newspaper_summary = ''
newspaper_keywords = ''
article = Article(link)
article.download()
html = article.html
if html is None or len(html) == 0:
continue
article.parse()
if article.text and len(article.text) > 0:
newspaper_title = article.title
newspaper_text = article.text
newspaper_authors = article.authors
if newspaper_authors and len(newspaper_authors) > 0:
newspaper_authors = ','.join(newspaper_authors)
else:
newspaper_authors = ''
article.nlp()
newspaper_summary = article.summary
newspaper_keywords = article.keywords
if newspaper_keywords and len(newspaper_keywords) > 0:
newspaper_keywords = ','.join(newspaper_keywords)
else:
newspaper_keywords = ''
#然后使用boilerpipe
extractor = Extractor(extractor='ArticleExtractor',html = html)
boilerpipe_article = extractor.getText()
extractor = Extractor(extractor='ArticleSentencesExtractor',html = html)
boilerpipe_articlesentences = extractor.getText()
extractor = Extractor(extractor='KeepEverythingExtractor',html = html)
boilerpipe_keepeverything = extractor.getText()
extractor = Extractor(extractor='LargestContentExtractor',html = html)
boilerpipe_largestcontent = extractor.getText()
extractor = Extractor(extractor='NumWordsRulesExtractor',html = html)
boilerpipe_numwordsrules = extractor.getText()
extractor = Extractor(extractor='CanolaExtractor',html = html)
boilerpipe_canola = extractor.getText()
#输入的参数
content = (url_md5,link,code, newspaper_title, newspaper_text, newspaper_authors,newspaper_summary,newspaper_keywords,\
boilerpipe_article,boilerpipe_articlesentences,boilerpipe_keepeverything,boilerpipe_largestcontent,\
boilerpipe_numwordsrules,boilerpipe_canola, \
code, newspaper_title,newspaper_text, newspaper_authors,\
newspaper_summary,newspaper_keywords,boilerpipe_article,boilerpipe_articlesentences,boilerpipe_keepeverything,\
boilerpipe_largestcontent,boilerpipe_numwordsrules,boilerpipe_canola)
cursor.execute(in_sql,content)
except:
logger.error("crawl_page failed ,Error:%s" % traceback.format_exc())
def extract_headlines_news(code, headlines_links, cursor):
'''抽取yahoo的新闻链接并解析'''
in_sql = """ INSERT INTO yahoo_comp_news(url_md5,url,code_name,newspaper_title,newspaper_text,
newspaper_authors,newspaper_summary,newspaper_keywords,boilerpipe_article,
boilerpipe_articlesentences,boilerpipe_keepeverything,boilerpipe_largestcontent,
boilerpipe_numwordsrules,boilerpipe_canola,up_time,add_time,count)
VALUES
(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,now(),now(),1)
on duplicate key update code_name = %s,newspaper_title = %s,newspaper_text = %s,
newspaper_authors = %s,newspaper_summary = %s,newspaper_keywords = %s,
boilerpipe_article = %s,boilerpipe_articlesentences = %s,boilerpipe_keepeverything = %s,
boilerpipe_largestcontent = %s,boilerpipe_numwordsrules = %s,boilerpipe_canola = %s,
up_time = now(),count=count+1 """
for link in headlines_links:
#长度小于35的url一般都不是新闻连接
if link is None or len(link) <= 35:
continue
try:
url_md5 = hashlib.md5(link).hexdigest()
#首先让使用newspaper
newspaper_title = ''
newspaper_text = ''
newspaper_authors = ''
newspaper_summary = ''
newspaper_keywords = ''
article = Article(link)
article.download()
html = article.html
if html is None or len(html) == 0:
continue
article.parse()
if article.text and len(article.text) > 0:
newspaper_title = article.title
newspaper_text = article.text
newspaper_authors = article.authors
if newspaper_authors and len(newspaper_authors) > 0:
newspaper_authors = ','.join(newspaper_authors)
else:
newspaper_authors = ''
article.nlp()
newspaper_summary = article.summary
newspaper_keywords = article.keywords
if newspaper_keywords and len(newspaper_keywords) > 0:
newspaper_keywords = ','.join(newspaper_keywords)
else:
newspaper_keywords = ''
#然后使用boilerpipe
extractor = Extractor(extractor='ArticleExtractor', html=html)
boilerpipe_article = extractor.getText()
extractor = Extractor(extractor='ArticleSentencesExtractor',
html=html)
boilerpipe_articlesentences = extractor.getText()
extractor = Extractor(extractor='KeepEverythingExtractor',
html=html)
boilerpipe_keepeverything = extractor.getText()
extractor = Extractor(extractor='LargestContentExtractor',
html=html)
boilerpipe_largestcontent = extractor.getText()
extractor = Extractor(extractor='NumWordsRulesExtractor',
html=html)
boilerpipe_numwordsrules = extractor.getText()
extractor = Extractor(extractor='CanolaExtractor', html=html)
boilerpipe_canola = extractor.getText()
#输入的参数
content = (url_md5,link,code, newspaper_title, newspaper_text, newspaper_authors,newspaper_summary,newspaper_keywords,\
boilerpipe_article,boilerpipe_articlesentences,boilerpipe_keepeverything,boilerpipe_largestcontent,\
boilerpipe_numwordsrules,boilerpipe_canola, \
code, newspaper_title,newspaper_text, newspaper_authors,\
newspaper_summary,newspaper_keywords,boilerpipe_article,boilerpipe_articlesentences,boilerpipe_keepeverything,\
boilerpipe_largestcontent,boilerpipe_numwordsrules,boilerpipe_canola)
cursor.execute(in_sql, content)
except:
logger.error("crawl_page failed ,Error:%s" %
traceback.format_exc())
def extract_news(code, news_links, crawl_source, cursor):
'''抽取新闻，并进行NLP
@param code: 上市公司编码
@param news_links: 需要抽取的新闻链接
@param crawl_source
@param cursor: 数据库游标
'''
in_sql = """ INSERT INTO news_extract_content(url_md5,url,code_name,newspaper_title,newspaper_text,
newspaper_authors,newspaper_summary,newspaper_keywords,boilerpipe_article,
boilerpipe_articlesentences,boilerpipe_keepeverything,boilerpipe_largestcontent,
boilerpipe_numwordsrules,boilerpipe_canola,up_time,add_time,extract_count,crawl_source)
VALUES
(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,now(),now(),1,%s)
on duplicate key update code_name = %s,newspaper_title = %s,newspaper_text = %s,
newspaper_authors = %s,newspaper_summary = %s,newspaper_keywords = %s,
boilerpipe_article = %s,boilerpipe_articlesentences = %s,boilerpipe_keepeverything = %s,
boilerpipe_largestcontent = %s,boilerpipe_numwordsrules = %s,boilerpipe_canola = %s,
up_time = now(),extract_count=extract_count+1,crawl_source = %s """
for link in news_links:
#长度小于30的url一般都不是新闻连接,暴力，简单可依赖
if link is None or len(link) <= 30:
continue
#已经抓取的url就不需要抓取了
if link in bf:
continue
try:
global NEWS_URL_EXTRACTE
NEWS_URL_EXTRACTE += 1
url_md5 = hashlib.md5(link).hexdigest()
#首先让使用newspaper
newspaper_title = ''
newspaper_text = ''
newspaper_authors = ''
newspaper_summary = ''
newspaper_keywords = ''
article = Article(link)
article.download()
html = article.html
if html is None or len(html) == 0:
continue
article.parse()
if article.text and len(article.text) > 0:
newspaper_title = article.title
newspaper_text = article.text
newspaper_authors = article.authors
if newspaper_authors and len(newspaper_authors) > 0:
newspaper_authors = ','.join(newspaper_authors)
else:
newspaper_authors = ''
article.nlp()
newspaper_summary = article.summary
newspaper_keywords = article.keywords
if newspaper_keywords and len(newspaper_keywords) > 0:
newspaper_keywords = ','.join(newspaper_keywords)
else:
newspaper_keywords = ''
#然后使用boilerpipe
extractor = Extractor(extractor='ArticleExtractor', html=html)
boilerpipe_article = extractor.getText()
extractor = Extractor(extractor='ArticleSentencesExtractor',
html=html)
boilerpipe_articlesentences = extractor.getText()
extractor = Extractor(extractor='KeepEverythingExtractor',
html=html)
boilerpipe_keepeverything = extractor.getText()
extractor = Extractor(extractor='LargestContentExtractor',
html=html)
boilerpipe_largestcontent = extractor.getText()
extractor = Extractor(extractor='NumWordsRulesExtractor',
html=html)
boilerpipe_numwordsrules = extractor.getText()
extractor = Extractor(extractor='CanolaExtractor', html=html)
boilerpipe_canola = extractor.getText()
#输入的参数
content = (url_md5,link,code, newspaper_title, newspaper_text, newspaper_authors,newspaper_summary,newspaper_keywords,\
boilerpipe_article,boilerpipe_articlesentences,boilerpipe_keepeverything,boilerpipe_largestcontent,\
boilerpipe_numwordsrules,boilerpipe_canola,crawl_source, \
code, newspaper_title,newspaper_text, newspaper_authors,\
newspaper_summary,newspaper_keywords,boilerpipe_article,boilerpipe_articlesentences,boilerpipe_keepeverything,\
boilerpipe_largestcontent,boilerpipe_numwordsrules,boilerpipe_canola,crawl_source)
cursor.execute(in_sql, content)
except:
logger.error("crawl_page failed ,Error:%s" %
traceback.format_exc())
html = ''
status = response.getcode()
if status == 200:
html = response.read()
return status, html
except urllib2.URLError, e:
if hasattr(e, 'code'):
logger.error("URLError, code is :%s" % e.code)
return e.code, ''
elif hasattr(e, 'reason'):
logger.error("URLError, code is :%s" % e.reason)
return e.reason, ''
except:
logger.error("crawl_page failed ,Error:%s" %
traceback.format_exc())
return -100, ''
finally:
if response:
response.close()
class BaseExtract(object):
'''页面抽取基类'''
def get_bs(self, markup, parser='lxml', page_encoding=None):
'''获取定制的BS
@param markup: 网页内容
@param parser: 解析器，替换html.parser默认使用 lxml解析,very fast
解析器有：lxml>html.parser>html5lib
@param page_encoding: 网页编码
'''