def one_id_text(self, one_user, a, b, s):
"""
爬取猎头博文的方法
:param a: 博文的开始页
:param b: 博文的结束页
:param s: 信号量，防止多进程时，WeiboPage.all_hunterlist, append时冲突
:return: all_dict 字典的键，即是uid, 值为(时间,博文id,博文,点赞,转发链接,转发量,评论链接,评论量,新闻源）元组组成的列表
"""
all_dict = {}
writing_time = []
weibo = []
weibo_id = []
praise = []
forward = []
comment = []
forward_url = []
comment_url = []
blog_origin = []
try:
host_url = "http://weibo.cn/u/" + str(one_user)
url_request = urllib2.Request(host_url, headers=self.header)
response = urllib2.urlopen(url_request, timeout=30)
text = response.read()
page_num = re.compile('跳页" />.*?/(.*?)页') # 匹配微博页数
num = page_num.findall(text)
for nm in num: # 判断页数,不足b页时到pm页为止
pm = int(nm)
if b > pm:
b = pm
else:
pass
for k in xrange(a, b): # 每一页的博文获取
if k % 5 == 4:
time.sleep(random.randint(0, 5))
else:
pass
print "第", k, "页"
url = "http://weibo.cn/u/" + str(one_user) + "?page=" + str(k) # 猎头的首页
req = urllib2.Request(url=url, headers=self.header)
homepage = urllib2.urlopen(req).read()
base_patterns = re.compile(
'class="c" id="(.*?)">.*?<span class="ctt">(.*?)</span>.*?>赞\[(\d+)]</a> <a href="(.*?)">转发\[(\d+)]</a> <a href="(.*?)" class="cc">评论\[(\d+)]</a>.*?<span class="ct">(.*?) ',
re.M) # 匹配博文id 、博文 点赞 转发链接 转发 评论链接 评论 时间
self.base_page = base_patterns.findall(homepage)
if len(self.base_page) > 0:
print "登陆成功"
else:
print "登陆失败"
self.add_text() # 进行今天的博文筛选
if len(self.dictwt) > 0:
print "用户 ", one_user, " 今天有发表博文"
for item0, item1 in self.dictwt.items(): # item0为tu[0],键=博文id. item1 = 值
weibo_id.append(item0)
post_time = self.cleaned_wbtime(item1[6])
blog_origin_patternts = re.compile('>(http://t.cn/.*?)</a></span>')
blog_origin_one = blog_origin_patternts.findall(item1[0])
if len(blog_origin_one) == 0:
blog_origin.append(str(None))
else:
blog_origin.append(blog_origin_one[0])
content = self.cleaned_weibo(item1[0])
writing_time.append(post_time)
weibo.append(content)
praise.append(item1[1])
forward_url.append(item1[2])
forward.append(item1[3])
comment_url.append(item1[4])
comment.append(item1[5])
else:
print "用户 ", one_user, " 今天没有发表博文"
if len(weibo) > 0:
all_list = zip(writing_time, weibo_id, weibo, praise, forward_url, forward, comment_url, comment,
blog_origin)
all_dict.setdefault(one_user, all_list)
s.acquire()
WeiboPage.all_hunterlist.append(all_dict) # 中间变量保存全部猎头的博文
s.release()
self.dictwt.clear() # 清空一个用户的信息,准备开始下一个用户
except:
pass
write_hunter_txt(all_dict.keys(), all_dict.values())
return all_dict
def one_id_text(self, one_user, a, b, s):
"""
爬取猎头博文的方法
:param a: 博文的开始页
:param b: 博文的结束页
:param s: 信号量，防止多进程时，WeiboPage.all_hunterlist, append时冲突
:return: all_dict 字典的键，即是uid, 值为(时间,博文,点赞,转发链接,转发量,评论链接,评论量）元组组成的列表
"""
all_dict = {}
writing_time = []
weibo = []
weibo_id = []
praise = []
forward = []
comment = []
forward_url = []
comment_url = []
blog_origin = []
try:
host_url = "http://weibo.cn/u/" + str(one_user)
url_request = urllib2.Request(host_url, headers=self.header)
response = urllib2.urlopen(url_request, timeout=30)
text = response.read()
page_num = re.compile('跳页" />.*?/(.*?)页') # 匹配微博页数
num = page_num.findall(text)
for nm in num: # 判断页数,不足b页时到pm页为止
pm = int(nm)
if b > pm:
b = pm
else:
pass
for k in xrange(a, b): # 每一页的博文获取
if k % 5 == 4:
time.sleep(random.randint(0, 5))
else:
pass
print "第", k, "页"
url = "http://weibo.cn/u/" + str(one_user) + "?page=" + str(k) # 猎头的首页
req = urllib2.Request(url=url, headers=self.header)
homepage = urllib2.urlopen(req).read()
base_patterns = re.compile(
'class="c" id="(.*?)">.*?<span class="ctt">(.*?)</span>.*?>赞\[(\d+)]</a> <a href="(.*?)">转发\[(\d+)]</a> <a href="(.*?)" class="cc">评论\[(\d+)]</a>.*?<span class="ct">(.*?) ',
re.M) # 匹配博文id 、博文 点赞 转发链接 转发 评论链接 评论 时间
self.base_page = base_patterns.findall(homepage)
if len(self.base_page) > 0:
print "登陆成功"
else:
print "登陆失败"
self.add_text() # 进行今天的博文筛选
if len(self.dictwt) > 0:
print "用户 ", one_user, " 今天有发表博文"
for item0, item1 in self.dictwt.items(): # item0为tu[0],键=博文id. item1 = 值
weibo_id.append(item0)
post_time = self.cleaned_wbtime(item1[6])
blog_origin_patternts = re.compile('>(http://t.cn/.*?)</a></span>')
blog_origin_one = blog_origin_patternts.findall(item1[0])
if len(blog_origin_one) == 0:
blog_origin.append(str(None))
else:
blog_origin.append(blog_origin_one[0])
content = self.cleaned_weibo(item1[0])
writing_time.append(post_time)
weibo.append(content)
praise.append(item1[1])
forward_url.append(item1[2])
forward.append(item1[3])
comment_url.append(item1[4])
comment.append(item1[5])
else:
print "用户 ", one_user, " 今天没有发表博文"
if len(weibo) > 0:
all_list = zip(writing_time, weibo_id, weibo, praise, forward_url, forward, comment_url, comment,
blog_origin)
all_dict.setdefault(one_user, all_list)
s.acquire()
WeiboPage.all_hunterlist.append(all_dict) # 中间变量保存全部猎头的博文
s.release()
self.dictwt.clear() # 清空一个用户的信息,准备开始下一个用户
except:
pass
write_hunter_txt(all_dict.keys(), all_dict.values())
return all_dict
