def zhouyihaoma2(num):
headers = headertool.randHeader()
headers['Host'] = 'www.fututa.com'
headers['Referer'] = 'Referer http://cesuan.fututa.com/zhouyihaoma/'
headers[
'Accept-Language'] = 'zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2'
t = str(1529471366095 + random.randint(0, 10000000))
url = 'http://www.fututa.com/smajax?t=haoma&hm={0}&hmt=1&jsoncallback=jsonp{1}'.format(
num, t)
r = requests.get(url, headers=headers)
content = re.match('jsonp\d+\(({.*?})\)', r.text).group(1)
contentdic = json.loads(content)
comment = contentdic['comment']
soup = BeautifulSoup(comment, 'lxml')
rqxm = {}
b = soup.find('b', text=re.compile('大象：'))
rqxm['dx'] = str(b) + b.next_sibling
b = soup.find('b', text=re.compile('总论：'))
rqxm['zl'] = str(b) + b.next_sibling
b = soup.find('b', text=re.compile('建议：'))
rqxm['jy'] = str(b) + b.next_sibling
b = soup.find('b', text=re.compile('事业：'))
rqxm['sy'] = str(b) + b.next_sibling
b = soup.find('b', text=re.compile('经商：'))
rqxm['js'] = str(b) + b.next_sibling
b = soup.find('b', text=re.compile('求名：'))
rqxm['qm'] = str(b) + b.next_sibling
b = soup.find('b', text=re.compile('婚恋：'))
rqxm['hl'] = str(b) + b.next_sibling
rqxm['sl'] = re.match(
'“\d+”.*?(\d+).*?',
soup.find('p', text=re.compile('周易数理为\d')).get_text()).group(1)
return rqxm
def xingmingjixiong(xs, mz):
headers = headertool.randHeader()
headers['Host'] = 'xmcs.buyiju.com'
headers['Referer'] = 'http://xmcs.buyiju.com/dafen.php'
dataload = {'xs': xs, 'mz': mz, 'action': 'test'}
r = requests.post("http://xmcs.buyiju.com/dafen.php",
data=dataload,
headers=headers)
xmjxdata = {}
soup = BeautifulSoup(r.text)
nametable = soup.table.table.table
nametr = nametable.find_all('tr')
xmjxdata['nameinfo'] = {}
xmjxdata['nameinfo']['name'] = []
for tr in nametr:
tds = tr.find_all('td')
tdvalues = [
tds[1].get_text(), tds[2].get_text(), tds[3].get_text(),
tds[4].get_text()
]
xmjxdata['nameinfo']['name'].append(tdvalues)
getd = nametable.parent.next_sibling.next_sibling
xmjxdata['nameinfo']['ge'] = getd.get_text().strip().split('\r\n')
xmjxdata['conents'] = []
gebs = soup.find_all('b', text=re.compile("[天|人|外|总]格\d+所示"))
for geb in gebs:
contentp = geb.parent.next_sibling.next_element
xmjxdata['conents'].append((geb.get_text(), contentp.get_text()))
clist = soup.find('b', text=re.compile("三才配置"))
xmjxdata['conents'].append(
(clist.get_text(), clist.parent.next_sibling.next_element.get_text()))
clist = soup.find('b', text=re.compile("基础运"))
xmjxdata['conents'].append((clist.get_text(), clist.next_sibling[1:]))
clist = soup.find('b', text=re.compile("成功运"))
xmjxdata['conents'].append((clist.get_text(), clist.next_sibling[1:]))
clist = soup.find('b', text=re.compile("社交运"))
xmjxdata['conents'].append((clist.get_text(), clist.next_sibling[1:]))
anshis = soup.find_all('b', text=re.compile("[天|人|外|总]格\d+之数理暗示"))
for anshi in anshis:
xmjxdata['conents'].append((anshi.get_text(), anshi.next_sibling[1:]))
shuoming = soup.find('strong', text=re.compile("说明"))
xmjxdata['conents'].append(
(shuoming.get_text(), shuoming.next_sibling[1:]))
zongti = soup.find('b', text=re.compile("总评及打分"))
xmjxdata['conents'].append(
(zongti.get_text(),
zongti.parent.next_sibling.next_element.get_text()[13:].strip()))
return xmjxdata
def shoujijixiong(pnum):
headers = headertool.randHeader()
headers['Host'] = 'www.buyiju.com'
headers['Referer'] = 'http://www.buyiju.com/shouji/'
dataload = {'sjhao': pnum}
r = requests.post("http://www.buyiju.com/shouji/",
data=dataload,
headers=headers)
soup = BeautifulSoup(r.text)
p = soup.find('div', class_="content").find_all('p')
shuli, qianyu, jixiong, xiangjie = (sjjx_values(p[2]), sjjx_values(p[3]),
sjjx_values(p[4]), sjjx_values(p[5]))
datadic = {
'shoujijixiong': {
'shuli': shuli,
'qianyu': qianyu,
'jixiong': jixiong,
'xiangjie': xiangjie
}
}
return json.dumps(datadic, ensure_ascii=False)
def lifemobile(pnum,
year,
month,
day,
hour,
minute,
sex,
name,
isbz='1',
datatype='0',
act='submit'):
headers = headertool.randHeader()
headers['Host'] = 'life.httpcn.com'
headers['Referer'] = 'http://life.httpcn.com/mobile.asp'
headers[
'Accept-Language'] = 'zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2'
dataload = {
'act': act,
'cid': '',
'data_type': datatype,
'day': day,
'hour': hour,
'isbz': isbz,
'minute': minute,
'month': month,
'name': '%C7%D8%C7%D8',
'pid': '',
'sex': sex,
'word': pnum,
'year': year
}
r = requests.post("http://life.httpcn.com/mobile.asp",
data=dataload,
headers=headers)
r.encoding = 'gb2312'
lifedata = {}
lifedata['suli'] = []
soup = BeautifulSoup(r.content.decode('gb2312'), 'lxml')
hmfxb = soup.find('b', text=re.compile('号码分析：'))
yxb = soup.find('b', text=re.compile('该号码长期使用可能会对主人产生以下潜在影响：'))
pfb = soup.find('b', text=re.compile('数理评分：'))
lifedata['suli'].append(hmfxb.next_sibling[:-1] + '-' +
hmfxb.next_sibling.next_sibling.get_text())
lifedata['suli'].append(pfb.next_sibling.get_text())
lifedata['suli'].append(yxb.next_sibling.strip())
lifedata['pnum'] = pnum
lifedata['uname'] = name
#print(lifedata)
lifedata['yunshi'] = {}
lifedata['yunshi']['dqysxq'] = []
lifedata['yunshi']['cqysxq'] = []
dq = soup.find('b', text=re.compile('短期运势影响：'))
lifedata['yunshi']['dqys'] = dq.next_sibling.get_text()
cq = soup.find('b', text=re.compile('长期运势影响：'))
lifedata['yunshi']['cqys'] = cq.next_sibling.get_text()
yunimgs = soup.find_all('img', src=re.compile('/images/ico/jia.gif'))
for yunimg in yunimgs[:4]:
lifedata['yunshi']['dqysxq'].append(
(yunimg.next_sibling[:-1],
yunimg.next_sibling.next_sibling.get_text()))
for yunimg in yunimgs[4:]:
lifedata['yunshi']['cqysxq'].append(
(yunimg.next_sibling[:-1],
yunimg.next_sibling.next_sibling.get_text()))
#print(lifedata)
lifedata['mima'] = {}
jq = soup.find(text=re.compile('节气：'))
dy = soup.find(text=re.compile('起大运周岁：'))
jxhm = soup.find('span', class_='red', text=re.compile('尾数为(\d、?)+'))
jxys = soup.find('span', class_='red', text=re.compile('.+色、(.+色、?)+'))
zs = soup.find('div', class_='columnc')
lifedata['mima']['jq'] = jq
lifedata['mima']['dy'] = dy
lifedata['mima']['jxhm'] = jxhm.get_text()
lifedata['mima']['jxys'] = jxys.get_text()
lifedata['mima']['zs'] = zs.get_text().strip()[5:]
return lifedata