def format_realtime_quotes(self, realtime_quotes_data):
result = dict()
stocks_detail = ''.join(realtime_quotes_data)
grep_result = self.realtime_quotes_format_zs.finditer(stocks_detail)
for stock_match_object in grep_result:
groups = stock_match_object.groups()
price_A1 = eval(groups[0])
price_A2 = eval(groups[1])
perform = eval('[\'\'%s]' % (',\'0\'' * 26))
g = eval(groups[2])
grep_result = self.realtime_quotes_format.finditer(stocks_detail)
for stock_match_object in grep_result:
groups = stock_match_object.groups()
price_A1 = eval(groups[0])
price_A2 = eval(groups[1])
perform = eval(groups[2])
g = eval(groups[3])
q = Quote()
if 'zs' == price_A1[0][:2]:
q.symbol = zs_symbol_of(price_A1[0][-6:])
if 'cn' == price_A1[0][:2]:
q.symbol = symbol_of(price_A1[0][-6:])
q.code = code_from_symbol(q.symbol)
q.name = price_A1[1].decode('utf-8')
q.now = to_float(price_A1[2])
q.open = to_float(price_A2[3])
q.close = to_float(price_A2[1])
q.high = to_float(price_A2[5])
q.low = to_float(price_A2[7])
q.buy = to_float(perform[12])
q.sell = to_float(perform[10])
q.volume = to_int(price_A2[8]) * 100
q.turnover = to_float(price_A2[12]) * 10000
q.bid1_volume = to_int(perform[13]) * 100
q.bid1 = to_float(perform[12])
q.bid2_volume = to_int(perform[15]) * 100
q.bid2 = to_float(perform[14])
q.bid3_volume = to_int(perform[17]) * 100
q.bid3 = to_float(perform[16])
q.bid4_volume = to_int(perform[19]) * 100
q.bid4 = to_float(perform[18])
q.bid5_volume = to_int(perform[21]) * 100
q.bid5 = to_float(perform[20])
q.ask1_volume = to_int(perform[11]) * 100
q.ask1 = to_float(perform[10])
q.ask2_volume = to_int(perform[9]) * 100
q.ask2 = to_float(perform[8])
q.ask3_volume = to_int(perform[7]) * 100
q.ask3 = to_float(perform[6])
q.ask4_volume = to_int(perform[5]) * 100
q.ask4 = to_float(perform[4])
q.ask5_volume = to_int(perform[3]) * 100
q.ask5 = to_float(perform[2])
t = '%s-%s-%s %s:%s:%s' % (g[0], g[1], g[2], g[3], g[4], g[5])
q.time = date_time.str_to_time(t)
result[q.code] = q
return result
def format_realtime_quotes(self, realtime_quotes_data):
result = dict()
stocks_detail = ''.join(realtime_quotes_data)
grep_result = self.realtime_quotes_format.finditer(stocks_detail)
for stock_match_object in grep_result:
q = Quote()
groups = stock_match_object.groups()
l = json.loads(groups[1])
ask_bid = []
for i in l:
ab = re.split(r',', i)
ask_bid.append(ab)
s = re.split(r',', groups[0])
q.symbol = symbol_of(s[1])
q.code = code_from_em_symbol(s[1] + s[0])
q.name = s[2]
q.now = float(s[3])
q.open = float(s[8])
q.close = float(s[9])
q.high = float(s[10])
q.low = float(s[11])
q.buy = float(ask_bid[5][0])
q.sell = float(ask_bid[4][0])
q.volume = int(s[17]) * 100
q.turnover = float(s[19]) * 10000
q.bid1_volume = int(ask_bid[5][1]) * 100
q.bid1 = float(ask_bid[5][0])
q.bid2_volume = int(ask_bid[6][1]) * 100
q.bid2 = float(ask_bid[6][0])
q.bid3_volume = int(ask_bid[7][1]) * 100
q.bid3 = float(ask_bid[7][0])
q.bid4_volume = int(ask_bid[8][1]) * 100
q.bid4 = float(ask_bid[8][0])
q.bid5_volume = int(ask_bid[9][1]) * 100
q.bid5 = float(ask_bid[9][0])
q.ask1_volume = int(ask_bid[4][1]) * 100
q.ask1 = float(ask_bid[4][0])
q.ask2_volume = int(ask_bid[3][1]) * 100
q.ask2 = float(ask_bid[3][0])
q.ask3_volume = int(ask_bid[2][1]) * 100
q.ask3 = float(ask_bid[2][0])
q.ask4_volume = int(ask_bid[1][1]) * 100
q.ask4 = float(ask_bid[1][0])
q.ask5_volume = int(ask_bid[0][1]) * 100
q.ask5 = float(ask_bid[0][0])
q.time = date_time.str_to_time(s[27])
result[q.code] = q
return result
def format_realtime_quotes(self, realtime_quotes_data):
result = dict()
stocks_detail = ''.join(realtime_quotes_data)
grep_result = self.realtime_quotes_format.finditer(stocks_detail)
for stock_match_object in grep_result:
stock = stock_match_object.groups()
q = Quote()
q.symbol = stock[0]
q.code = code_from_symbol(stock[0])
q.name = stock[1]
q.open = float(stock[2])
q.close = float(stock[3])
q.now = float(stock[4])
q.high = float(stock[5])
q.low = float(stock[6])
q.buy = float(stock[7])
q.sell = float(stock[8])
q.volume = int(stock[9])
q.turnover = float(stock[10])
q.bid1_volume = int(stock[11])
q.bid1 = float(stock[12])
q.bid2_volume = int(stock[13])
q.bid2 = float(stock[14])
q.bid3_volume = int(stock[15])
q.bid3 = float(stock[16])
q.bid4_volume = int(stock[17])
q.bid4 = float(stock[18])
q.bid5_volume = int(stock[19])
q.bid5 = float(stock[20])
q.ask1_volume = int(stock[21])
q.ask1 = float(stock[22])
q.ask2_volume = int(stock[23])
q.ask2 = float(stock[24])
q.ask3_volume = int(stock[25])
q.ask3 = float(stock[26])
q.ask4_volume = int(stock[27])
q.ask4 = float(stock[28])
q.ask5_volume = int(stock[29])
q.ask5 = float(stock[30])
#q.date = date_time.str_to_date(stock[31])
q.time = date_time.str_to_time(stock[31] + ' ' + stock[32])
result[q.code] = q
return result
def __init__(self):
# 完整代码
self.symbol = ''
# 股票代码
self.code = ''
# 股票名字
self.name = ''
# 当前价格
self.now = 0
# 今日开盘价
self.open = 0
# 昨日收盘价
self.close = 0
# 今日最高价
self.high = 0
# 今日最低价
self.low = 0
# 竞买价，即“买一”报价
self.buy = 0
# 竞卖价，即“卖一”报价
self.sell = 0
# 成交的股票数，由于股票交易以一百股为基本单位，所以在使用时，通常把该值除以一百
self.volume = 0
# 成交金额，单位为“元”，为了一目了然，通常以“万元”为成交金额的单位，所以通常把该值除以一万
self.turnover = 0
# 买一申报量
self.bid1_volume = 0
# 买一报价
self.bid1 = 0
# 买二申报量
self.bid2_volume = 0
# 买二报价
self.bid2 = 0
# 买三申报量
self.bid3_volume = 0
# 买三报价
self.bid3 = 0
# 买四申报量
self.bid4_volume = 0
# 买四报价
self.bid4 = 0
# 买五申报量
self.bid5_volume = 0
# 买五报价
self.bid5 = 0
# 卖一申报量
self.ask1_volume = 0
# 卖一报价
self.ask1 = 0
# 卖二申报量
self.ask2_volume = 0
# 卖二报价
self.ask2 = 0
# 卖三申报量
self.ask3_volume = 0
# 卖三报价
self.ask3 = 0
# 卖四申报量
self.ask4_volume = 0
# 卖四报价
self.ask4 = 0
# 卖五申报量
self.ask5_volume = 0
# 卖五报价
self.ask5 = 0
# 日期
# self.date = date_time.str_to_date('1900-01-01')
# 时间
self.time = date_time.str_to_time('1900-01-01 00:00:00')
return
