/
spider_zhenzhou.py
303 lines (282 loc) · 11.8 KB
/
spider_zhenzhou.py
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import xml
from urllib.parse import urlencode
from urllib.request import urlopen, Request
import json
from urllib.request import urlopen
import json
import requests
import json
import pandas as pd
from bs4 import BeautifulSoup
from lxml import html
import xml.etree.ElementTree as ET
import io
# http://www.czce.com.cn/portal/DFSStaticFiles/Future/2018/20180522/FutureDataHolding.htm
def czce_scrape(year=2018, month=6, day=11):
from lxml import html
url = 'http://www.czce.com.cn/portal/DFSStaticFiles/Future/' \
'{year:>04}/{year:>04}{month:>02}{day:>02}/FutureDataHolding.htm'.format(year=year, month=month, day=day)
parser = html.HTMLParser(encoding='gbk')
# root = html.document_fromstring(content, parser=parser)
tree = html.parse(url, parser=parser)
# tree.docinfo
table = tree.findall('//table')[1]
data = [
[td.text_content().strip() for td in row.findall('td')]
for row in table.findall('tr')
]
df = pd.DataFrame(data, )
df[0] = df[0].str.replace('\xa0', '')
print(df)
form_header = ['品种', '合约', '合计']
temp_index = []
start_index = []
import collections
header_index_dict = collections.OrderedDict()
for a_header in form_header:
a_index_list = df.index[df[0].str.contains(a_header)].tolist()
if not a_index_list:
continue
header_index_dict.update({a_header: a_index_list})
if '品种' in header_index_dict:
contracts = header_index_dict['品种']
if '合计' not in header_index_dict:
print("Error")
end_index = header_index_dict['合计']
for beg, end in zip(contracts, end_index):
t_df = df[beg:end]
t_df.reset_index(inplace=True, drop=True)
print(t_df)
h_str = t_df.iat[0, 0]
# '品种：苹果AP 日期：2018-05-23'
import re
# m = re.match(
# r"品种：(?P<productname>[\u4e00-\u9fa5]+)(?P<instrumentid>[a-zA-Z]+)\W*日期：(?P<date>[\d-]+)", h_str)
m = re.match(
r"品种：(?P<productname>[\u4e00-\u9fa5]+)?(?P<instrumentid>[a-zA-Z]+)\W*日期：(?P<date>[\d-]+)",
h_str)
t_instrumentid = m.group('instrumentid')
t_productname = m.group('productname')
if not t_productname:
t_productname = "EMPTY"
t_date = m.group('date')
# productname 铜 instrumentid cu1804
t_df = t_df.drop([0, 1])
t_df['instrumentid'] = t_instrumentid
t_df['productname'] = t_productname
t_df['date'] = t_date
print(t_df)
col_names = ['rank', 'PARTICIPANTABBR1', 'CJ1', 'CJ1_CHG',
'PARTICIPANTABBR2', 'CJ2', 'CJ2_CHG',
'PARTICIPANTABBR3', 'CJ3', 'CJ3_CHG',
'instrumentid', 'productname', 'date']
t_df.columns = col_names
t_df['date'] = pd.to_datetime(t_df['date'])
print(t_df)
from db_insert2 import set_ranks_df
t_df = t_df.drop(columns='date')
set_ranks_df(t_df, year=year, month=month, day=day, exchange='CZCE')
if '合约' in header_index_dict:
instruments_index = header_index_dict['合约']
len_instruments_index = len(instruments_index)
if '合计' not in header_index_dict:
print("Error")
end_index = header_index_dict['合计']
end_index = end_index[-len_instruments_index:]
for beg, end in zip(instruments_index, end_index):
t_df = df[beg:end]
t_df.reset_index(inplace=True, drop=True)
print(t_df)
h_str = t_df.iat[0, 0]
import re
# m = re.match(
# r"品种：(?P<productname>[\u4e00-\u9fa5]+)(?P<instrumentid>[a-zA-Z]+)\W*日期：(?P<date>[\d-]+)", h_str)
m = re.match(
r"合约：(?P<productname>[\u4e00-\u9fa5]+)?(?P<instrumentid>[a-zA-Z\d]+)\W*日期：(?P<date>[\d-]+)",
h_str)
t_instrumentid = m.group('instrumentid')
t_productname = m.group('productname')
if not t_productname:
t_productname = "EMPTY"
t_date = m.group('date')
# productname 铜 instrumentid cu1804
t_df = t_df.drop([0, 1])
t_df['instrumentid'] = t_instrumentid
t_df['productname'] = t_productname
t_df['date'] = t_date
print(t_df)
col_names = ['rank', 'PARTICIPANTABBR1', 'CJ1', 'CJ1_CHG',
'PARTICIPANTABBR2', 'CJ2', 'CJ2_CHG',
'PARTICIPANTABBR3', 'CJ3', 'CJ3_CHG',
'instrumentid', 'productname', 'date']
t_df.columns = col_names
t_df['date'] = pd.to_datetime(t_df['date'])
print(t_df)
from db_insert2 import set_ranks_df
t_df = t_df.drop(columns='date')
set_ranks_df(t_df, year=year, month=month, day=day, exchange='CZCE')
return
def html_parse(year=2018, month=6, day=11):
from lxml import html
url = 'http://www.czce.com.cn/portal/DFSStaticFiles/Future/' \
'{year:>04}/{year:>04}{month:>02}{day:>02}/FutureDataHolding.htm'.format(year=year, month=month, day=day)
parser = html.HTMLParser(encoding='gbk')
# root = html.document_fromstring(content, parser=parser)
tree = html.parse(url, parser=parser)
# tree.docinfo
table = tree.findall('//table')[1]
data = [
[td.text_content().strip() for td in row.findall('td')]
for row in table.findall('tr')
]
df = pd.DataFrame(data, )
df[0] = df[0].str.replace('\xa0', '')
print(df)
form_header = ['品种', '合约', '合计' ]
temp_index = []
start_index = []
import collections
header_index_dict = collections.OrderedDict()
for a_header in form_header:
a_index_list = df.index[df[0].str.contains(a_header)].tolist()
if not a_index_list:
continue
header_index_dict.update({a_header: a_index_list})
if '品种' in header_index_dict:
contracts = header_index_dict['品种']
if '合计' not in header_index_dict:
print("Error")
end_index = header_index_dict['合计']
for beg, end in zip(contracts, end_index):
t_df = df[beg:end]
t_df.reset_index(inplace=True, drop=True)
print(t_df)
h_str = t_df.iat[0,0]
# '品种：苹果AP 日期：2018-05-23'
import re
# m = re.match(
# r"品种：(?P<productname>[\u4e00-\u9fa5]+)(?P<instrumentid>[a-zA-Z]+)\W*日期：(?P<date>[\d-]+)", h_str)
m = re.match(
r"品种：(?P<productname>[\u4e00-\u9fa5]+)?(?P<instrumentid>[a-zA-Z]+)\W*日期：(?P<date>[\d-]+)",
h_str)
t_instrumentid = m.group('instrumentid')
t_productname = m.group('productname')
if not t_productname:
t_productname = "EMPTY"
t_date = m.group('date')
# productname 铜 instrumentid cu1804
t_df = t_df.drop([0,1])
t_df['instrumentid'] = t_instrumentid
t_df['productname'] = t_productname
t_df['date'] = t_date
print(t_df)
col_names = ['rank', 'PARTICIPANTABBR1', 'CJ1', 'CJ1_CHG',
'PARTICIPANTABBR2', 'CJ2', 'CJ2_CHG',
'PARTICIPANTABBR3', 'CJ3', 'CJ3_CHG',
'instrumentid', 'productname', 'date']
t_df.columns = col_names
t_df['date'] = pd.to_datetime(t_df['date'])
print(t_df)
from db_insert2 import set_ranks_df
set_ranks_df(t_df, year=2018, month=5, day=23, exchange='CZCE')
if '合约' in header_index_dict:
instruments_index = header_index_dict['合约']
len_instruments_index = len(instruments_index)
if '合计' not in header_index_dict:
print("Error")
end_index = header_index_dict['合计']
end_index = end_index[-len_instruments_index:]
for beg, end in zip(instruments_index, end_index):
t_df = df[beg:end]
t_df.reset_index(inplace=True, drop=True)
print(t_df)
h_str = t_df.iat[0,0]
import re
# m = re.match(
# r"品种：(?P<productname>[\u4e00-\u9fa5]+)(?P<instrumentid>[a-zA-Z]+)\W*日期：(?P<date>[\d-]+)", h_str)
m = re.match(
r"合约：(?P<productname>[\u4e00-\u9fa5]+)?(?P<instrumentid>[a-zA-Z\d]+)\W*日期：(?P<date>[\d-]+)",
h_str)
t_instrumentid = m.group('instrumentid')
t_productname = m.group('productname')
if not t_productname:
t_productname = "EMPTY"
t_date = m.group('date')
# productname 铜 instrumentid cu1804
t_df = t_df.drop([0, 1])
t_df['instrumentid'] = t_instrumentid
t_df['productname'] = t_productname
t_df['date'] = t_date
print(t_df)
col_names = ['rank', 'PARTICIPANTABBR1', 'CJ1', 'CJ1_CHG',
'PARTICIPANTABBR2', 'CJ2', 'CJ2_CHG',
'PARTICIPANTABBR3', 'CJ3', 'CJ3_CHG',
'instrumentid', 'productname', 'date']
t_df.columns = col_names
t_df['date'] = pd.to_datetime(t_df['date'])
print(t_df)
from db_insert2 import set_ranks_df
set_ranks_df(t_df, year=year, month=month, day=day, exchange='CZCE')
return
def test1():
j = json.loads('{"one" : "1", "two" : "2", "three" : "3"}')
html = urlopen("http://www.czce.com.cn/portal/DFSStaticFiles/Future/2017/20171026/FutureDataDaily.xls")
data = html.read()
print(data)
return
def test2():
session = requests.Session()
# params = {'username': 'username', 'password': 'password'}
s = session.post("http://www.czce.com.cn/portal/index.htm")
print(s.cookies.get_dict())
print("-----------")
print("Going to profile page...")
# s = session.get("http://www.czce.com.cn/portal/DFSStaticFiles/Future/2018/20180309/FutureDataHolding.htm")
# http://www.czce.com.cn/portal/DFSStaticFiles/Future/2017/20171026/FutureDataDaily.xls
# http://www.czce.com.cn/portal/DFSStaticFiles/Future/2018/20180522/FutureDataHolding.txt
# http://www.czce.com.cn/portal/DFSStaticFiles/Future/2018/20180523/FutureDataHolding.htm
# url = 'http://www.czce.com.cn/portal/DFSStaticFiles/Future/2018/20180416/FutureDataTradeamt.htm'
url = 'http://www.czce.com.cn/portal/DFSStaticFiles/Future/2018/20180523/FutureDataHolding.htm'
s = session.get(url)
s.encoding = 'gbk'
print(s.text)
# import pandas as pd
# dfs = pd.read_html(s.text)
# print(dfs)
# i=0
# for df in dfs:
# df.to_csv("zhenzhoutest{id}.csv".format(id=i), encoding='gbk')
# i += 1
try:
import lxml
root = lxml.html.fromstring(s.text)
except Exception as e:
print(e)
return
for child in root:
print("_" * 30)
print(child.tag, child.attrib)
for grandchild in child:
print(grandchild.tag, grandchild.attrib)
# dfs.to_csv("zhenzhoutest.csv")
return
def main():
import datetime
today = datetime.datetime(2018, 6, 14)
endday = datetime.datetime(2018, 6, 8)
for i in range(30):
from shfe_spider import getLastWeekDay
weekday = getLastWeekDay(today)
today = weekday
if today <= endday:
break
print(weekday)
czce_scrape(year=weekday.year, month=weekday.month, day=weekday.day)
from time import sleep
sleep(2)
# czce_scrape()
# html_parse()
# test2()
return
if __name__ == '__main__':
main()