def _get_sina_json_dd_url(vol='0', type='0', num='10000', count=None):
urllist = []
vol = str(vol)
type = str(type)
num = str(num)
if count == None:
url = ct.JSON_DD_CountURL % (ct.DD_VOL_List[vol], type)
log.info("_json_dd_url:%s" % url)
data = cct.get_url_data(url)
# return []
# print data.find('abc')
count = re.findall('(\d+)', data, re.S)
log.debug("_json_dd_url_count:%s" % count)
# print count
if len(count) > 0:
count = count[0]
bigcount = getconfigBigCount(count, write=False)
print("Big:%s V:%s " % (bigcount[0], bigcount[1])),
if int(count) >= int(num):
page_count = int(math.ceil(int(count) / int(num)))
for page in range(1, page_count + 1):
# print page
url = ct.JSON_DD_Data_URL_Page % (
int(num), page, ct.DD_VOL_List[vol], type)
urllist.append(url)
else:
url = ct.JSON_DD_Data_URL_Page % (count, '1',
ct.DD_VOL_List[vol], type)
urllist.append(url)
else:
log.error("url Count error:%s count:%s" % (url, count))
return []
else:
url = ct.JSON_DD_CountURL % (ct.DD_VOL_List[vol], type)
# print url
data = cct.get_url_data(url)
# print data
count_now = re.findall('(\d+)', data, re.S)
urllist = []
if count < count_now:
count_diff = int(count_now) - int(count)
if int(math.ceil(int(count_diff) / 10000)) >= 1:
page_start = int(math.ceil(int(count) / 10000))
page_end = int(math.ceil(int(count_now) / 10000))
for page in range(page_start, page_end + 1):
# print page
url = ct.JSON_DD_Data_URL_Page % (
'10000', page, ct.DD_VOL_List[vol], type)
urllist.append(url)
else:
page = int(math.ceil(int(count_now) / 10000))
url = ct.JSON_DD_Data_URL_Page % ('10000', page,
ct.DD_VOL_List[vol], type)
urllist.append(url)
# print "url:",urllist[:0]
return urllist
def sina_json_Big_Count(vol='1', type='0', num='10000'):
"""[summary]
[description]
Parameters
----------
vol : {str}, optional
[description] (the default is '1', which [default_description])
type : {str}, optional
[description] (the default is '0', which [default_description])
num : {str}, optional
[description] (the default is '10000', which [default_description])
Returns
-------
[type]
[description]
"""
url = ct.JSON_DD_CountURL % (ct.DD_VOL_List[vol], type)
log.info("Big_Count_url:%s"%url)
data = cct.get_url_data(url)
count = re.findall('(\d+)', data, re.S)
log.debug("Big_Count_count:%s"%count)
if len(count) > 0:
count = count[0]
else:
count = 0
return count
def _get_sina_Market_url(market='sh_a', count=None, num='1000'):
num = str(num)
if count == None:
url = ct.JSON_Market_Center_CountURL % (market)
# print url
data = cct.get_url_data(url,timeout=10)
# print data
count = re.findall('(\d+)', data, re.S)
urllist = []
if len(count) > 0:
count = count[0]
if int(count) >= int(num):
page_count = int(math.ceil(int(count) / int(num)))
for page in range(1, page_count + 1):
# print page
url = ct.JSON_Market_Center_RealURL % (page, num, market)
# print "url",url
urllist.append(url)
else:
url = ct.JSON_Market_Center_RealURL % ('1', count, market)
urllist.append(url)
# print "%s count: %s"%(market,count),
# print urllist[0],
return urllist
def get_tzrq(url, today):
global rzrqCount
url = url % today
if rzrqCount < 3:
data = cct.get_url_data(url)
# data = cct.get_url_data_R(url)
if len(data) < 1:
rzrqCount += 1
vol_l = []
# vollist=re.findall('{data:(\d+)',code)
else:
vol_l = re.findall('\"([\d\D]+?)\"', data)
else:
vol_l = []
# print vol_l
dd = {}
# print vol_l
# print len(vol_l)
if len(vol_l) == 3:
data = vol_l[0].split(',')
data2 = vol_l[1].split(',')
dataall = vol_l[2].split(',')
dd['sh'] = round(float(data[5]) /
100000000, 1) if len(data[5]) > 0 else 0
dd['sz'] = round(float(data2[5]) /
100000000, 1) if len(data2[5]) > 0 else 0
dd['all'] = round(float(dataall[5]) /
100000000, 1) if len(dataall[5]) > 0 else 0
return dd
def _parsing_sina_dd_price_json(url):
"""
处理当日行情分页数据，格式为json
Parameters
------
pageNum:页码
return
-------
DataFrame 当日所有股票交易数据(DataFrame)
"""
ct._write_console()
# request = Request(ct.SINA_DAY_PRICE_URL%(ct.P_TYPE['http'], ct.DOMAINS['vsf'],
# ct.PAGES['jv'], pageNum))
# request = Request(url)
# text = urlopen(request, timeout=10).read()
# sinaheader = {'Referer':'http://vip.stock.finance.sina.com.cn'}
text = cct.get_url_data(url, headers=sinaheader)
# print(len(text))
# return text
if len(text) < 10 or text.find('*****@*****.**') > 0:
return ''
#2020 new json
text = text.replace('symbol', 'code')
# text = text.replace('turnoverratio', 'ratio')
# text.decode('unicode-escape')
js = json.loads(text, encoding='GBK')
# df = pd.DataFrame(pd.read_json(js, dtype={'code':object}),columns=ct.MARKET_COLUMNS)
log.debug("parsing_sina_dd:%s" % js[0])
df = pd.DataFrame(js, columns=ct.DAY_REAL_DD_COLUMNS)
#20200422 problem json
'''
reg = re.compile(r'\,(.*?)\:')
text = reg.sub(r',"\1":', text.decode('gbk') if ct.PY3 else text)
text = text.replace('"{symbol', '{"code')
text = text.replace('{symbol', '{"code"')
if ct.PY3:
jstr = json.dumps(text)
else:
# jstr = json.dumps(text, encoding='GBK')
jstr = json.dumps(text)
js = json.loads(jstr)
df = pd.DataFrame(pd.read_json(js, dtype={'code': object}),
columns=ct.DAY_REAL_DD_COLUMNS)
'''
df = df.drop('symbol', axis=1)
df = df.ix[df.volume > 0]
# print ""
# print df['name'][len(df.index)-1:],len(df.index)
return df
def get_sina_tick_js_LastPrice(symbols):
symbols_list = ''
if len(symbols) == 0:
return ''
if isinstance(symbols, list) or isinstance(symbols, set) or isinstance(
symbols, tuple) or isinstance(symbols, pd.Series):
for code in symbols:
symbols_list += cct.code_to_symbol(code) + ','
else:
symbols_list = cct.code_to_symbol(symbols)
# print symbol_str
url = "http://hq.sinajs.cn/list=%s" % (symbols_list)
# print url
data = cct.get_url_data(url)
# vollist=re.findall('{data:(\d+)',code)
# print data
ulist = data.split(";")
price_dict = {}
for var in range(0, len(ulist) - 1):
# print var
if len(ulist) == 2:
code = symbols
else:
code = symbols[var]
tempData = re.search('''(")(.+)(")''', ulist[var]).group(2)
stockInfo = tempData.split(",")
# stockName = stockInfo[0] #名称
# stockStart = stockInfo[1] #开盘
stockLastEnd = stockInfo[2] #昨收盘
# stockCur = stockInfo[3] #当前
# stockMax = stockInfo[4] #最高
# stockMin = stockInfo[5] #最低
# price_dict[code]=stockLastEnd
price_dict[code] = float(stockLastEnd)
# stockUp = round(float(stockCur) - float(stockLastEnd), 2)
# stockRange = round(float(stockUp) / float(stockLastEnd), 4) * 100
# stockVolume = round(float(stockInfo[8]) / (100 * 10000), 2)
# stockMoney = round(float(stockInfo[9]) / (100000000), 2)
# stockTime = stockInfo[31]
# dd={}
return price_dict
def get_dfcfw_rzrq_SHSZ(url=ct.DFCFW_RZYE):
data = {}
log.info("rzrq:%s" % (ct.DFCFW_RZYE))
# rzdata = cct.get_url_data(url)
# rzdata = cct.get_url_data_R(url,timeout=10)
rzdata = cct.get_url_data(url, timeout=10)
rz_dic = re.findall('"data":([\D\d]+.}])', rzdata.encode('utf8'))[0]
# rz_dic = rz_dic.replace(';', '')
# ct.DFCFW_RZYE2sh
rzdata_dic = json.loads(rz_dic)
df = pd.DataFrame(rzdata_dic, columns=ct.dfcfw_rzye_col2022)
# rzdata_list=(rzdata_dic['result']['data'])
# df=pd.DataFrame(rzdata_list,columns=ct.dfcfw_rzye_col2022)
# rzdata = rzdata.replace(':"-"',':0.1')
# rz_dic = re.findall('{"tdate"[\D\d]+?}', rzdata.encode('utf8'))
# rzdict=[eval(x) for x in rz_dic ]
# df=pd.DataFrame(rzdict,columns=ct.dfcfw_rzye_columns)
# df.tdate=df.tdate.apply(lambda x: x[:10])
# df = df.set_index('tdate')
# df.index = pd.to_datetime(df.index,format='%Y-%m-%d')
# df.rename(columns={'rzye_hs': 'all'}, inplace=True)
# df.rename(columns={'rzye_h': 'sh'}, inplace=True)
# df.rename(columns={'rzye_s': 'sz'}, inplace=True)
df.rename(columns={'RZYE': 'all'}, inplace=True)
df.rename(columns={'H_RZYE': 'sh'}, inplace=True)
df.rename(columns={'H_RQYL': 'sz'}, inplace=True)
df['DIM_DATE'] = df['DIM_DATE'].apply(lambda x: x[:10])
df = df.set_index('DIM_DATE')
df['all'] = df['all'].apply(lambda x: round((x / 1000 / 1000 / 100), 2))
df['sh'] = df['sh'].apply(lambda x: round((x / 1000 / 1000 / 100), 2))
df['sz'] = df['sz'].apply(lambda x: round((x / 1000 / 1000 / 1), 2))
# data=get_tzrq(url,today)
# yestoday = cct.last_tddate(1)
# log.debug(today)
# beforeyesterday = cct.last_tddate(days=2)
def get_days_data(days=1, df=None):
rzrq_status = 1
# data=''
da = 0
i = 0
data2 = ''
while rzrq_status:
for x in range(1, 20):
yestoday = cct.last_tddate(x)
# print("yestoday:%s"%(yestoday))
if yestoday in df.index:
data2 = df.loc[yestoday]
# log.info("yestoday:%s data:%s" % (yestoday, data2))
days -= 1
if days == 0:
break
# print da
else:
log.error("%s:None" % (yestoday))
rzrq_status = 0
return data2
# data = df.loc[yestoday]
# data2 = df.loc[beforeyesterday]
# log.info("data1:%s,data2:%s", data1, data2)
if len(df) > 0:
data1 = get_days_data(1, df)
data2 = get_days_data(2, df)
# print data1
data['all'] = round(data1.loc['all'], 2)
data['sh'] = round(data1.loc['sh'], 2)
data['sz'] = round(data1.loc['sz'], 2)
data['dff'] = round(data1.loc['all'] - data2.loc['all'], 2)
data['shrz'] = round(data1.loc['sh'] - data2.loc['sh'], 2)
data['szrz'] = round(data1.loc['sz'] - data2.loc['sz'], 2)
else:
log.debug("df is None:%s" % (url))
data['dff'] = 'error'
data['all'] = 0
data['sh'] = 0
data['sz'] = 0
data['shrz'] = 0
data['szrz'] = 0
if len(data) == 0:
log.error("Fund_f NO Url:%s" % url)
return data
def get_dfcfw_rzrq_SHSZ(url=ct.DFCFW_RZYE):
data = {}
log.info("rzrq:%s" % (ct.DFCFW_RZYE))
# rzdata = cct.get_url_data(url)
# rzdata = cct.get_url_data_R(url,timeout=10)
rzdata = cct.get_url_data(url, timeout=10)
# import pdb;pdb.set_trace()
rzdata = rzdata.replace(':"-"', ':0.1')
# rz_dic = re.findall('{"tdate"[\D\d]+?}', rzdata.encode('utf8'))
rz_dic = re.findall('{"tdate"[\D\d]+?}', rzdata)
rzdict = [eval(x) for x in rz_dic]
df = pd.DataFrame(rzdict, columns=ct.dfcfw_rzye_columns)
df.tdate = df.tdate.apply(lambda x: x[:10])
df = df.set_index('tdate')
# df.index = pd.to_datetime(df.index,format='%Y-%m-%d')
df.rename(columns={'rzye_hs': 'all'}, inplace=True)
df.rename(columns={'rzye_h': 'sh'}, inplace=True)
df.rename(columns={'rzye_s': 'sz'}, inplace=True)
df['all'] = df['all'].apply(lambda x: round((x / 1000 / 1000 / 100), 2))
df['sh'] = df['sh'].apply(lambda x: round((x / 1000 / 1000 / 100), 2))
df['sz'] = df['sz'].apply(lambda x: round((x / 1000 / 1000 / 100), 2))
# data=get_tzrq(url,today)
# yestoday = cct.last_tddate(1)
# log.debug(today)
# beforeyesterday = cct.last_tddate(days=2)
def get_days_data(days=1, df=None):
rzrq_status = 1
# data=''
da = 0
i = 0
data2 = ''
while rzrq_status:
for x in range(days, 20):
yestoday = cct.last_tddate(x)
if yestoday in df.index:
data2 = df.loc[yestoday]
# log.info("yestoday:%s data:%s" % (yestoday, data2))
break
# print da
else:
log.error("%s:None" % (yestoday))
rzrq_status = 0
return data2
data1 = get_days_data(1, df)
data2 = get_days_data(2, df)
# data = df.loc[yestoday]
# data2 = df.loc[beforeyesterday]
# log.info("data1:%s,data2:%s", data1, data2)
if len(data2) > 0:
# print data1
data['all'] = round(data1.loc['all'], 2)
data['sh'] = round(data1.loc['sh'], 2)
data['sz'] = round(data1.loc['sz'], 2)
data['dff'] = round(data1.loc['all'] - data2.loc['all'], 2)
data['shrz'] = round(data1.loc['sh'] - data2.loc['sh'], 2)
data['szrz'] = round(data1.loc['sz'] - data2.loc['sz'], 2)
else:
log.error("data2:%s" % (data2))
data['dff'] = 'error'
data['all'] = 0
data['sh'] = 0
data['sz'] = 0
data['shrz'] = 0
data['szrz'] = 0
if len(data) == 0:
log.error("Fund_f NO Url:%s" % url)
return data
