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)
#stock_detail_list = stocks_detail.split(';')
grep_result = self.realtime_quotes_format.finditer(stocks_detail)
for stock_match_object in grep_result:
#i = 0
#for x in stock_match_object.groups():
# print i
# print x.encode('utf-8')
# i += 1
stock = stock_match_object.groups()
q = Quote()
q.symbol = stock[0]
q.code = code_from_symbol(q.symbol)
q.name = stock[2]
q.open = float(stock[6])
q.close = float(stock[5])
q.now = float(stock[4])
q.high = float(stock[34])
q.low = float(stock[35])
q.buy = float(stock[10])
q.sell = float(stock[20])
q.turnover = float(stock[38]) * 10000
q.volume = int(stock[37]) * 100
q.bid1_volume = int(stock[11]) * 100
q.bid1 = float(stock[10])
q.bid2_volume = int(stock[13]) * 100
q.bid2 = float(stock[12])
q.bid3_volume = int(stock[15]) * 100
q.bid3 = float(stock[14])
q.bid4_volume = int(stock[17]) * 100
q.bid4 = float(stock[16])
q.bid5_volume = int(stock[19]) * 100
q.bid5 = float(stock[18])
q.ask1_volume = int(stock[21]) * 100
q.ask1 = float(stock[20])
q.ask2_volume = int(stock[23]) * 100
q.ask2 = float(stock[22])
q.ask3_volume = int(stock[25]) * 100
q.ask3 = float(stock[24])
q.ask4_volume = int(stock[27]) * 100
q.ask4 = float(stock[26])
q.ask5_volume = int(stock[29]) * 100
q.ask5 = float(stock[28])
#q.date = date_time.str_to_date(stock[31])
q.time = datetime.datetime.strptime(stock[31], '%Y%m%d%H%M%S')
result[q.code] = q
return result
def format_xq(self, information):
super(Entrust, self).format_yh(information)
if self.status == Status.STATUS_ERR:
return False
self.entrust_no = information['entrust_no']
self.entrust_status = information['entrust_status']
self.stock_name = information['stock_name']
self.stock_code = symbol.code_from_symbol(information['stock_code'])
self.entrust_price = information['entrust_price']
self.entrust_amount = information['entrust_amount']
self.business_amount = information['business_amount']
self.time = date_time.str_to_date(information['report_time'], '%Y-%m-%d %H:%M:%S')
return True
def format_xq(self, information):
super(Position, self).format_yh(information)
if self.status == 'error':
return 'error'
self.stock_name = information['stock_name']
self.stock_code = symbol.code_from_symbol(information['stock_code'])
self.current_amount = information['current_amount']
self.enable_amount = information['enable_amount']
self.keep_cost_price = information['keep_cost_price']
self.last_price = information['last_price']
self.income_balance = information['income_balance']
self.income_balance_ratio = information['income_balance'] #TODO
self.market_value = information['market_value']
return True
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
