def fail_action(self, values):
'''
消息动作处理失败之后，更改队列中间件中该消息的失败次数并记录执行机器的IP
如果达到该机器的最大尝试失败次数，则更改队列中间件中该消息的状态为未处理，目的让其它机器再次尝试去处理该消息
:param values: 消息动作处理之后的结果
'''
update_sql = """
update hainiu_queue set fail_times=fail_times+1,fail_ip='%s' where id=%s;
"""
update_sql_1 = """
update hainiu_queue set type=1 where id=%s
"""
try:
d = DBUtil(config._HAINIU_DB)
id = values[0]
u = Util()
ip = u.get_local_ip()
sql = update_sql % (ip, id)
d.execute_no_commit(sql)
if (self.try_num == Consumer._WORK_TRY_NUM):
sql = update_sql_1 % id
d.execute_no_commit(sql)
d.commit()
except:
self.rl.exception()
self.rl.error(sql)
d.rollback()
finally:
d.close()
def fail_action(self, values):
update_sql = """
update hainiu_queue set fail_times=fail_times+1,fail_ip='%s' where id=%s;
"""
update_sql_1 = """
update hainiu_queue set type=1 where id=%s;
"""
update_hainiu_news_seed_sql = """
update hainiu_web_seed set fail_times=fail_times+1,fail_ip="%s" where md5="%s";
"""
try:
d = DBUtil(config._HAINIU_DB)
id = values[5]
u = Util()
ip = u.get_local_ip()
sql = update_sql % (ip, id)
d.execute_no_commit(sql)
main_md5 = values[0]
sql = update_hainiu_news_seed_sql % (ip, main_md5)
d.execute_no_commit(sql)
if (self.try_num == Consumer._WORK_TRY_NUM):
sql = update_sql_1 % (id)
d.execute_no_commit(sql)
d.commit()
except:
self.rl.exception()
self.rl.error(sql)
d.rollback()
d.commit()
finally:
d.close()
def date_merge():
u = Util()
fi = FileUtil()
t = TimeUtil()
s = SendSmsUtil()
alter_time = t.now_time()
beijing_now = datetime.now()
now_time = int(time.mktime(beijing_now.timetuple()))
tmp_path = config._LOCAL_DATA_DIR % ('%s/%s_%s.tmp' % ('tmp','hainiu', now_time))
up_path = config._LOCAL_DATA_DIR % ('%s/%s_%s.done' % ('up','hainiu', now_time))
start_char = ''
for dirpath, dirnames, filenames in os.walk(config._LOCAL_DATA_DIR % ('done')):
for filename in filenames:
total = 0
merge_total = 0
dir = os.path.join(dirpath, filename)
file_size = os.path.getsize(dir)
record_list = []
with open(dir) as f:
for line in f:
try:
total += 1
line = line.strip().encode('utf-8')
if not line:
continue
md5 = line[:line.find('\001')]
record = line[line.find('\001') + 1:]
record_md5 = u.get_md5(record)
if md5 == record_md5:
merge_total += 1
record_list.append(record)
else:
raise Exception('check is faild')
if record_list.__len__() >=10:
fi.write_file_content_pattern(tmp_path,start_char + ('\n'.join(record_list)), pattern='a')
record_list = []
start_char = '\n'
except Exception:
traceback.print_exc()
print line
alter_msg = 'alter merge api hainiu time:%s ip:%s' % (alter_time, u.get_local_ip())
s.send_sms(alter_msg)
if record_list.__len__() >0:
fi.write_file_content_pattern(tmp_path,start_char + ('\n'.join(record_list)), pattern='a')
start_char = '\n'
os.remove(dir)
print dir,file_size,total,merge_total
if os.path.exists(tmp_path) and os.path.getsize(tmp_path) > 0:
shutil.move(tmp_path, up_path)
def crawler_web_seed_url(url):
'''
爬取种子页的所有a链接
:param url: 种子页url
:return: 无
'''
r = RequestUtil()
hu = HtmlUtil()
u = Util()
# 通过phandomjs 请求url，返回网页，包括网页的ajax请求
html = r.http_get_phandomjs(url)
#html = html.decode('utf-8').encode(sys.getfilesystemdomainencoding())
#print html
#可以从HTML或XML文件中提取数据的Python第三方库
soup = BeautifulSoup(html, 'lxml')
# a链接dom对象列表
a_docs = soup.find_all("a")
aset = set()
#获取domain
domain = hu.get_url_domain(url)
#获取host
host = hu.get_url_host(url)
print 'domain==>', domain
print 'host==>', host
for a in a_docs:
#获取a标签的href
a_href = hu.get_format_url(url, a, host)
#获取a标签的内容
a_title = a.get_text().strip()
if a_href == '' or a_title == '':
continue
if aset.__contains__(a_href):
continue
aset.add(a_href)
#获取a标签的host
a_host = hu.get_url_host(a_href)
#获取a标签href链接url的md5
a_md5 = u.get_md5(a_href)
#获取a标签所对应的xpath
a_xpath = hu.get_dom_parent_xpath_js_new(a)
print("%s\t%s\t%s\t%s\t%s") % (a_title.decode("utf-8"), a_href, a_host,
a_md5, a_xpath)
r.close_phandomjs()
def fail_action(self, values):
ip = Util().get_local_ip()
db_util = DBUtil(_HAINIU_DB)
#1）记录队列表错误次数和ip；
queue_update_sql1 = """
update hainiu_queue set fail_times=fail_times+1,fail_ip=%s where id=%s;
"""
#2）当某个机器的错误次数达到了当前机器设定的最大重试次数，把hainiu_queue 表对应的记录的
#is_work = 0，让其他机器重试；
queue_update_sql2 = """
update hainiu_queue set is_work=0 where id=%s;
"""
#3）更新内链表的失败次数和失败ip，队列表的数据不删除；
inner_update_sql = """
update hainiu_web_seed_internally set fail_times=fail_times+1,fail_ip=%s where md5=%s and a_md5=%s
"""
try:
# 1)
sql_params = [ip, values[0]]
db_util.execute_no_commit(queue_update_sql1, sql_params)
# 2)
# 比较失败次数
if self.current_retry_num == _QUEUE_NEWS_FIND['C_RETRY_TIMES'] - 1:
sql_params = [self.id]
db_util.execute_no_commit(queue_update_sql2, sql_params)
sql_params = [ip, values[1], values[2]]
db_util.execute_no_commit(inner_update_sql, sql_params)
db_util.commit()
except Exception, e:
db_util.rollback()
traceback.print_exc(e)
def fail_action(self, values):
ip = Util().get_local_ip()
db_util = DBUtil(_HAINIU_DB)
#1）记录hainiu_queue表错误次数和ip；
# is_success,self.id,len(inner_list),len(exter_list),md5
queue_update_sql1 = """
update hainiu_queue set fail_times=fail_times+1,fail_ip=%s where id=%s;
"""
#2）当某个机器的错误次数达到了当前机器设定的最大重试次数，把hainiu_queue
# 表对应的记录的 is_work = 0，让其他机器重试；
queue_update_sql2 = """
update hainiu_queue set is_work=0 where id=%s;
"""
#3）更新种子表的失败次数、失败ip；队列表的数据不删除，有可能是因为目标网站把ip给封了，
# 在某个时间，写个脚本，把失败的队列数据改状态和失败次数和失败ip，重新爬取试试。
seed_update_sql = """
update hainiu_web_seed set fail_times=fail_times+1,fail_ip=%s where md5=%s
"""
try:
sql_params = [ip, values[0]]
db_util.execute_no_commit(queue_update_sql1, sql_params)
# 比较失败次数
if self.current_retry_num == _QUEUE_NEWS_FIND['C_RETRY_TIMES'] - 1:
sql_params = [self.id]
db_util.execute_no_commit(queue_update_sql2, sql_params)
sql_params = [ip, values[3]]
db_util.execute_no_commit(seed_update_sql, sql_params)
db_util.commit()
except Exception, e:
traceback.print_exc(e)
db_util.rollback()
def push_message(self, message):
self.__lock.acquire()
u = Util()
producer = u.get_dict_value(self.__kafka_connect_cache, self.cache_key)
if producer is None:
client = KafkaClient(hosts=self.host)
topic = client.topics[self.topic]
producer = topic.get_producer()
self.__kafka_connect_cache[self.cache_key] = producer
is_success = True
try:
producer.produce(message)
except:
is_success = False
del self.__kafka_connect_cache[self.cache_key]
self.rl.error('kafka push error cacheKey is %s' % (self.cache_key))
self.rl.exception()
self.__lock.release()
return is_success
def test_beautiful():
# url = 'http://roll.news.qq.com'
url ='http://politics.gmw.cn/node_9844.htm'
r = RequestUtil()
hu = HtmlUtil()
html = r.http_get_phandomjs(url)
domain = get_tld(url)
host = hu.get_url_host(url)
u = Util()
print "domain:",domain,":host:",host
soup = BeautifulSoup(html, 'lxml')
a_docs = soup.find_all("a")
for a in a_docs:
a_href = get_format_url(url,a,host)
if a.text:
print a.text
if a_href:
xpath = hu.get_dom_parent_xpath_js(a)
print a_href,'_',xpath,u.get_md5(xpath)
def test_beautiful():
r = RequestUtil()
hu = HtmlUtil()
u = Util()
url = 'https://news.sina.com.cn/roll/#pageid=153&lid=2509&k=&num=50&page=1'
html = r.http_get_phandomjs(url)
#html = html.decode('utf-8').encode(sys.getfilesystemencoding())
#print html
#可以从HTML或XML文件中提取数据的Python第三方库
soup = BeautifulSoup(html, 'lxml')
a_docs = soup.find_all("a")
aset = set()
#获取domain
domain = get_fld(url)
#获取host
host = hu.get_url_host(url)
print 'domain==>', domain
print 'host==>', host
for a in a_docs:
#获取a标签的href
a_href = get_format_url(url, a, host)
#获取a标签的内容
a_title = a.get_text().strip()
if a_href == '' or a_title == '':
continue
if aset.__contains__(a_href):
continue
aset.add(a_href)
#获取a标签的host
a_host = hu.get_url_host(a_href)
#获取a标签href链接url的md5
a_md5 = u.get_md5(a_href)
#获取a标签所对应的xpath
a_xpath = hu.get_dom_parent_xpath_js(a)
print("%s\t%s\t%s\t%s\t%s") % (a_title.decode("utf-8"), a_href, a_host,
a_md5, a_xpath)
def create_seed():
url = "https://www.autohome.com.cn/all"
catetory = "汽车"
sql = """
insert into hainiu_web_seed (url,md5,domain,host,category,status) values
('%s','%s','%s','%s','%s',0);
"""
hu = HtmlUtil()
domain = get_tld(url)
host = hu.get_url_host(url)
u = Util()
md5 = u.get_md5(url)
rl = LogUtil().get_base_logger()
try:
d = DBUtil(config._HAINIU_DB)
sql = sql % (url, md5, domain, host, catetory)
d.execute(sql)
except:
rl.exception()
d.rollback()
finally:
d.close()
def create_seed():
sql = """
insert into web_seed (url,md5,domain,host,category,status) values
('%s','%s','%s','%s','%s',0);
"""
url = "https://news.sina.com.cn/"
catetory = "新闻"
hu = HtmlUtil()
domain = get_tld(url)
host = hu.get_url_host(url)
u = Util()
md5 = u.get_md5(url)
rl = LogUtil().get_base_logger()
try:
d = DBUtil(config._ZZ_DB)
sql = sql % (url, md5, domain, host, catetory)
d.execute(sql)
except:
rl.exception()
d.rollback()
finally:
d.close()
def print_news_url_content(news_url):
'''
打印最终新闻页面内容
:param news_url:
:return:
'''
r = RequestUtil()
hu = HtmlUtil()
u = Util()
# 通过phandomjs 请求url，返回网页，包括网页的ajax请求
html = r.http_get_phandomjs(news_url)
#html = html.decode('utf-8').encode(sys.getfilesystemdomainencoding())
print html
r.close_phandomjs()
def queue_items(self):
'''
通过悲观锁+事务+更新状态来实现多个机器串行拿取数据，
并把其封装成HainiuConsumerAction对象实例列表返回
'''
select_sql = """
select id,action,params
from hainiu_queue where type=%s and is_work=%s and fail_ip!=%s and fail_times<%s limit %s for update;
"""
# 更新SQL-拼字符串
update_sql = """
update hainiu_queue set is_work=1 where id in (%s);
"""
c_actions = []
# 用于装id，来更新
ids = []
db_util = DBUtil(_HAINIU_DB)
try:
# sql_params = [1, 0, _QUEUE_NEWS_FIND['MAX_FAIL_TIMES'], _QUEUE_NEWS_FIND['LIMIT_NUM']]
# 屏蔽ip查询的参数
ip = Util().get_local_ip()
sql_params = [
1, 0, ip, _QUEUE_NEWS_FIND['MAX_FAIL_TIMES'],
_QUEUE_NEWS_FIND['LIMIT_NUM']
]
# ({},{})
res1 = db_util.read_dict(select_sql, sql_params)
for row in res1:
id = row['id']
ids.append(str(id))
act = row['action']
params = row['params']
c_action = NewsFindConsumerAction(id, act, params)
c_actions.append(c_action)
if len(ids) > 0:
db_util.execute_no_commit(update_sql % ",".join(ids))
db_util.commit()
except Exception, e:
db_util.rollback()
traceback.print_exc(e)
def queue_items(self):
# 屏蔽ip的查询方式
select_sql='''
select id, action, params from web_queue where type=%s
and is_work=%s and fail_ip != %s and fail_times < %s limit 0, %s for update;
'''
update_sql='''
update web_queue set is_work=1 where id in(%s);
'''
db_util = DBUtil(_ZZ_DB)
try:
ip = Util().get_local_ip()
sql_params = [1, 0, ip, _QUEUE_ZZ["MAX_FAIL_TIMES"], _QUEUE_ZZ["LIMIT_NUM"]]
res = db_util.read_dict(select_sql, sql_params)
actions = []
ids = []
for row in res:
id = row["id"]
ids.append(str(id))
action = row["action"]
params = row["params"]
# 封装对象
c_action = WebConsumerAction(id, action, params)
actions.append(c_action)
if len(actions) != 0:
# 更新 is_work=1
db_util.execute_no_commit(update_sql % ",".join(ids))
db_util.commit()
except Exception, err:
actions = []
db_util.rollback()
traceback.print_exc(err)
def fail_action(self, values):
# 每次失败都需要更新ip 和 失败次数
update_sql1='''
update web_queue set fail_ip = %s , fail_times = fail_times + 1 where id = %s;
'''
# 当失败次数到达每台机器的最大重试次数，就将该记录的is_work=0 ,让其重试
update_sql2='''
update web_queue set is_work = 0 where id = %s;
'''
# 更新seed表状态
update_seed_sql = '''
update web_seed set fail_times=fail_times + 1,fail_ip=%s where md5 =%s;
'''
# 更新externally表状态
update_exter_sql = '''
update web_seed_externally set fail_times=fail_times + 1,fail_ip=%s where a_md5 =%s;
'''
db_util = DBUtil(_ZZ_DB)
try:
id = values[0]
ip = Util().get_local_ip()
# 每次更新失败ip 和失败次数
# queue表
sql_params = [ip, id]
db_util.execute_no_commit(update_sql1, sql_params)
# seed 表
sql_params = [ip, values[1]]
db_util.execute(update_seed_sql, sql_params)
# externally表
db_util.execute(update_exter_sql, sql_params)
if self.current_retry_num == _QUEUE_ZZ["C_RETRY_TIMES"] - 1:
db_util.execute_no_commit(update_sql2 % id)
db_util.commit()
except Exception,err:
db_util.rollback()
traceback.print_exc(err)
Copyright (c) 2019/3/16, 海牛学院版权所有.
@author: 潘牛
'''
import mx.URL, sys
from tld import get_tld
from bs4 import BeautifulSoup
from lxml import etree
from commons.util.request_util import RequestUtil
from commons.util.html_util import HtmlUtil
from commons.util.util import Util
if __name__ == '__main__':
r = RequestUtil()
hu = HtmlUtil()
u = Util()
url = 'https://news.sina.com.cn/roll/#pageid=153&lid=2509&k=&num=50&page=1'
html = r.http_get_phandomjs(url)
dom_tree = etree.HTML(html)
###XPath匹配
a_text = dom_tree.xpath(
"//div[@id='d_list']/ul[5]/li[2]/span[contains(@class,'c_tit')]/a[1]/text()"
)
a_href = dom_tree.xpath("//div[@id='d_list']/ul[8]/li[3]/span[2]/a/@href")
print a_text[0]
print a_href[0]
#--------本地测试-----------------------
# myPage = '''<html>
def action(self):
is_success = True
t = TimeUtil()
f = FileUtil()
u = Util()
hu = HtmlUtil()
r = RequestUtil()
values = []
md5 = u.get_md5(self.url)
now_time = datetime.now()
update_time = int(time.mktime(now_time.timetuple()))
create_time = update_time
create_day = int(t.now_day().replace('-', ''))
create_hour = int(t.now_hour())
now_minute = int(t.now_min())
for i in xrange(60, -5, -5):
if now_minute >= i:
now_minute = i
break
now_minute = t.now_time(format='%Y%m%d%H') + (
'0%s' % (str(now_minute)) if now_minute < 10 else str(now_minute))
values.append(MySQLdb.escape_string(self.url))
values.append(md5)
values.append(create_time)
values.append(create_day)
values.append(create_hour)
values.append('')
values.append(MySQLdb.escape_string(self.param))
values.append(update_time)
try:
html = r.http_get_phandomjs(self.url)
domain = get_tld(self.url)
values[5] = domain
soup = BeautifulSoup(html, 'lxml')
title_doc = soup.find('title')
title = title_doc.contents[0] if title_doc is not None and len(
title_doc.contents) == 1 else ''
host = hu.get_url_host(self.url)
values.append(host)
values.append(MySQLdb.escape_string(title))
# k = KafkaUtil(config._KAFKA_CONFIG)
html = html.replace(content._SEQ1,
'').replace(content._SEQ2, content._SEQ4)
# push_str = content._SEQ3.join(('%s','%s')) % (self.url,html)
# push_str = content._SEQ3.join(('%s','%s')) % (u.get_md5(push_str),push_str)
# push_str = bytes(push_str)
# is_success = k.push_message(push_str)
is_success = True
if is_success:
self.save_file(create_time, f, now_minute, u, self.url, html)
else:
values.append('')
values.append('')
self.rl.error("kafka push error")
except:
is_success = False
values.append('')
values.append('')
self.rl.exception()
finally:
r.close_phandomjs()
try:
if is_success:
values.append(1)
insert_web_page_sql = """
insert into hainiu_web_page (url,md5,create_time,create_day,create_hour,domain,param,update_time,host,
title,status) values ("%s","%s",%s,%s,%s,"%s","%s",%s,"%s","%s",%s) on DUPLICATE KEY UPDATE update_time=values(update_time);
"""
else:
ip = u.get_local_ip()
values.append(ip)
values.append(2)
insert_web_page_sql = """
insert into hainiu_web_page (url,md5,create_time,create_day,create_hour,domain,param,update_time,host,
title,fail_ip,status) values ("%s","%s",%s,%s,%s,"%s","%s",%s,"%s","%s","%s",%s)
on DUPLICATE KEY UPDATE fail_times=fail_times+1,fail_ip=values(fail_ip);
"""
d = DBUtil(config._HAINIU_DB)
sql = insert_web_page_sql % tuple(values)
d.execute(sql)
except:
is_success = False
self.rl.exception()
self.rl.error(sql)
d.rollback()
d.commit()
finally:
d.close()
return super(self.__class__,
self).result(is_success,
[md5, self.url, update_time, self.queue_id])
def action(self):
is_success = True
t = TimeUtil()
u = Util()
hu = HtmlUtil()
r = RequestUtil()
in_values = []
ex_values = []
a_href = ''
main_md5 = u.get_md5(self.url)
now_time = datetime.now()
update_time = int(time.mktime(now_time.timetuple()))
create_time = update_time
create_day = int(t.now_day().replace('-', ''))
create_hour = int(t.now_hour())
try:
html = r.http_get_phandomjs(self.url)
domain = get_tld(self.url)
soup = BeautifulSoup(html, 'lxml')
a_docs = soup.find_all("a")
a_set = set()
a_param = {}
out_json_srt = ''
status = 0
host = hu.get_url_host(self.url)
for a in a_docs:
a_href = self.get_format_url(a,host)
a_title = a.get_text().strip()
if a_href == '' or a_title == '':
continue
if a_set.__contains__(a_href):
continue
a_set.add(a_href)
req = urllib2.Request(url=a_href)
a_host = req.get_host() if req.get_host() is not None else ''
a_md5 = u.get_md5(a_href)
if a_title != '':
a_param['title'] = a_title
out_json_srt = json.dumps(a_param,ensure_ascii=False)
a_xpath = hu.get_dom_parent_xpath_js(a)
insert_values = (main_md5,domain,host,a_md5,a_host,a_xpath,create_time,create_day,create_hour,update_time,status,
MySQLdb.escape_string(self.url),
MySQLdb.escape_string(a_href),
MySQLdb.escape_string(a_title),
out_json_srt)
if a_host.__contains__(domain):
in_values.append(insert_values)
else:
ex_values.append(insert_values)
in_table = 'hainiu_web_seed_internally'
ex_table = 'hainiu_web_seed_externally'
insert_sql = """
insert into <table> (md5,domain,host,a_md5,a_host,a_xpath,create_time,create_day,create_hour,update_time,status,url,a_url,a_title,param)
values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE update_time=update_time;
"""
try:
d = DBUtil(config._HAINIU_DB)
d.execute_no_commit("set NAMES utf8mb4;")
if in_values.__len__() != 0:
sql = insert_sql.replace('<table>',in_table)
d.executemany_no_commit(sql,in_values)
if ex_values.__len__() != 0:
sql = insert_sql.replace('<table>',ex_table)
d.executemany_no_commit(sql,ex_values)
d.commit()
except:
is_success = False
self.rl.exception()
self.rl.error(sql)
d.rollback()
finally:
d.close()
except:
is_success = False
self.rl.exception()
finally:
r.close_phandomjs()
return super(self.__class__, self).result(is_success, [main_md5,self.url,a_href,in_values.__len__(),ex_values.__len__(),self.queue_id])
def action(self):
#爬取 hainiu_queue 中符合要求的url 请求页面的所有 a标签url
r = RequestUtil()
hu = HtmlUtil()
u = Util()
#
is_success = True
db_util = DBUtil(_HAINIU_DB)
time_util = TimeUtil()
# 内外链表的列表
inner_list = []
exter_list = []
#获取种子的md5
md5 = u.get_md5(self.act)
try:
# 通过phandomjs 请求url，返回网页，包括网页的ajax请求
html = r.http_get_phandomjs(self.act)
#可以从HTML或XML文件中提取数据的Python第三方库
soup = BeautifulSoup(html, 'lxml')
# a链接dom对象列表
a_docs = soup.find_all("a")
if len(a_docs) == 0:
is_success = False
aset = set()
#获取种子的domain
domain = hu.get_url_domain(self.act)
#获取种子的host
host = hu.get_url_host(self.act)
# 时间（create_time、create_day、create_hour、update_time）
# create_time=time_util.get_timestamp()
#
# create_day = int(time_util.now_day().replace('-', ''))
# create_hour=int(time_util.now_hour())
# update_time=create_time
create_time = time_util.get_timestamp()
# 获取年月日格式
create_day = int(time_util.now_day(format='%Y%m%d'))
# 获取小时
create_hour = int(time_util.now_hour())
update_time = create_time
# params_json = json.dumps(self.params, ensure_ascii=False, encoding='utf-8')
for a_doc in a_docs:
#获取a标签的href
a_href = hu.get_format_url(self.act, a_doc, host)
#获取a标签的内容
a_title = a_doc.get_text().strip()
if a_href == '' or a_title == '':
continue
if aset.__contains__(a_href):
continue
aset.add(a_href)
#获取a标签的host
a_host = hu.get_url_host(a_href)
#获取a标签href链接url的md5
a_md5 = u.get_md5(a_href)
#获取a标签所对应的xpath
a_xpath = hu.get_dom_parent_xpath_js_new(a_doc)
# 一行数据
row_data = (self.act, md5, self.params, domain, host, a_href,
a_md5, a_host, a_xpath, a_title, create_time,
create_day, create_hour, update_time)
if a_href.__contains__(domain):
inner_list.append(row_data)
else:
exter_list.append(row_data)
# 并解析存入内链表或外链表，在存入时，如果url已存在，只做
# update 操作。（保证链接页面不会重复爬取）
if len(inner_list) > 0:
inner_insert_sql = """
insert into hainiu_web_seed_internally
(url,md5,param,domain,host,a_url,a_md5,a_host,a_xpath,a_title,create_time,
create_day,create_hour,update_time)
values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
ON DUPLICATE KEY UPDATE update_time=values(update_time);
"""
db_util.executemany_no_commit(inner_insert_sql, inner_list)
if len(exter_list) > 0:
exter_insert_sql = """
insert into hainiu_web_seed_externally
(url,md5,param,domain,host,a_url,a_md5,a_host,a_xpath,a_title,create_time,
create_day,create_hour,update_time)
values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
ON DUPLICATE KEY UPDATE update_time=values(update_time);
"""
db_util.executemany_no_commit(exter_insert_sql, exter_list)
db_util.commit()
except Exception, e:
is_success = False
db_util.rollback()
traceback.print_exc(e)
def action(self):
logger = LogUtil().get_logger("download_action", "download_action")
#1）把队列中的url的HTML内容下载到文件中，每个消费线程每隔5分钟生成一个新的文件。
r = RequestUtil()
# hu = HtmlUtil()
u = Util()
db_util = DBUtil(_HAINIU_DB)
time_util = TimeUtil()
# 通过phandomjs 请求url，返回网页，包括网页的ajax请求
html = r.http_get_phandomjs(self.act)
# 拼接要写入的内容
html = html.replace("\r", "").replace("\n", "\002")
str1 = self.act + "\001" + html
str2 = u.get_md5(str1) + "\001" + str1
# 成功失败标记
is_success = True
# 获取时间
# now_time====>年月日时分秒
now_time = time.strftime("%Y%m%d,%H,%M,%S").split(",")
day = now_time[0]
hour = now_time[1]
minute = int(now_time[2])
for i in range(60, -5, -5):
if minute < i:
continue
minute = i
break
minute = '0%s' % minute if minute < 10 else minute
now_minute = '%s%s%s' % (day, hour, minute)
file_names = os.listdir(_LOCAL_DATA_DIR % ('tmp'))
logger.info("file_names:%s" % file_names)
thread_name = self.consumer_thread_name
logger.info("thread_name:%s" % thread_name)
last_file_name = ''
for file_name in file_names:
tmp = file_name.split("#")[0]
if tmp == thread_name:
last_file_name = file_name
break
now_file_name = "%s#%s" % (thread_name, now_minute)
try:
if last_file_name == '' or last_file_name != now_file_name:
# 移动老文件
# if last_file_name != '':
oldPath = _LOCAL_DATA_DIR % ("tmp/") + last_file_name
logger.info("oldPath:%s" % oldPath)
# if os.path.exists(oldPath) and os.path.getsize(oldPath) > 0:
if last_file_name != '':
done_file_name = last_file_name + "#" + str(
TimeUtil().get_timestamp())
logger.info("last_file_name:%s" % last_file_name)
newPath = _LOCAL_DATA_DIR % ("done/") + done_file_name
logger.info("newPath:%s" % newPath)
shutil.move(oldPath, newPath)
# 写入新文件
now_file_name = _LOCAL_DATA_DIR % ("tmp/") + now_file_name
# if not os.path.exists(_LOCAL_DATA_DIR+'tmp2/'):
# os.mkdir(_LOCAL_DATA_DIR+'tmp2/')
logger.info("now_file_name:%s" % now_file_name)
f = open(now_file_name, 'a+')
f.write(str2)
f.close()
else:
last_file_name = _LOCAL_DATA_DIR % ("tmp/") + last_file_name
logger.info("last_file_name:%s" % last_file_name)
# 写入老文件时进行换行
insert_str = "\n" + str2
f = open(last_file_name, 'a+')
f.write(insert_str)
f.close()
except Exception, e:
is_success = False
traceback.print_exc(e)
def action(self, *values):
# 插入内链表sql语句
insert_seed_internally='''
insert into web_seed_internally
(url,md5,param,domain,host,a_url,a_md5,a_host,a_xpath,a_title,create_time,create_day,create_hour,update_time,status)
values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE update_time=VALUES(update_time);
'''
# 插入外链表sql语句
insert_seed_externally='''
insert into web_seed_externally
(url,md5,param,domain,host,a_url,a_md5,a_host,a_xpath,a_title,create_time,create_day,create_hour,update_time,status)
values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) ON DUPLICATE KEY UPDATE update_time=VALUES(update_time);
'''
# 获取时间
a_time = TimeUtil()
db_util = DBUtil(_ZZ_DB)
# redis_d = RedisUtill()
total_count = 0
in_count = 0
ex_count = 0
try:
# 解析主网页信息
hu = HtmlUtil()
domain = hu.get_url_domain(self.act)
host = hu.get_url_host(self.act)
u = Util()
md5 = u.get_md5(self.act)
# 解析a标签信息
r = RequestUtil()
# 通过phandomjs 请求url，返回网页，包括网页的ajax请求
html = r.http_get_phandomjs(self.act)
# 可以从HTML或XML文件中提取数据的Python第三方库
soup = BeautifulSoup(html, 'lxml')
# a链接dom对象列表
aset = set()
# 获取host
a_host = hu.get_url_host(self.act)
# a_docs = soup.find_all("a",href=re.compile("^(/|.*"+domain+")"))
a_docs = soup.find_all("a")
for a in a_docs:
total_count += 1
# 获取a标签的href
a_url = hu.get_format_url(self.act,a,a_host)
# 获取a标签的内容
a_title = a.get_text().strip()
if a_url == '' or a_title == '':
continue
if aset.__contains__(a_url):
continue
aset.add(a_url)
# 获取a标签的host
a_host = hu.get_url_host(a_url)
# 获取a标签href链接url的md5
a_md5 = u.get_md5(a_url)
# 获取a标签所对应的xpath
a_xpath = hu.get_dom_parent_xpath_js_new(a)
create_time = a_time.get_timestamp()
create_day = int(a_time.now_day(format='%Y%m%d'))
create_hour = int(a_time.now_hour())
params_sql = [self.act,md5,self.params,domain,host,a_url,a_md5,a_host,a_xpath,a_title,create_time,create_day,create_hour,create_time,0]
if re.compile("^(/|.*"+domain+")").match(a_url) is not None:
db_util.execute(insert_seed_internally, params_sql)
#
# # redis
# redis_md5 = u.get_md5(md5+"\001"+a_md5)
# find_key = redis_d.get_value_for_key('seed:%s:a_url' % redis_md5)
# if find_key == None:
# # url,md5,param,domain,host,a_url,a_md5,a_host,a_xpath,a_title,create_time,create_day,create_hour,update_time,status
# dicts = {'seed:%s:param' % redis_md5 :self.params, 'seed:%s:a_url' % redis_md5 : a_url,
# 'seed:%s:md5' % redis_md5 : md5, 'seed:%s:a_md5' % redis_md5 :a_md5}
#
# dicts_temp = {'seed_temp:%s:param' % redis_md5 :self.params,'seed_temp:%s:a_url' % redis_md5 : a_url,
# 'seed_temp:%s:md5' % redis_md5 : md5, 'seed_temp:%s:a_md5' % redis_md5 : a_md5}
# redis_d.set_batch_datas(dicts)
# redis_d.set_batch_datas(dicts_temp)
in_count += 1
else:
db_util.execute(insert_seed_externally, params_sql)
ex_count += 1
r.close_phandomjs()
except Exception, err:
db_util.rollback()
traceback.print_exc(err)
