查询相关股票十档行情的方法

#!/usr/bin/env python3.5
# -*- coding:utf8 -*-
import time,os
import asyncio
import aiohttp
# 十档行情
class Leverfun:
stock_api = 'https://app.leverfun.com/timelyInfo/timelyOrderForm'
def __init__(self):
self.stocks_dict = dict()
def stocks(self, stock_codes):
if type(stock_codes) is not list:
stock_codes = [stock_codes]
threads = []
for stock in stock_codes:
threads.append(self.get_stock_detail(stock))
try:
loop = asyncio.get_event_loop()
except RuntimeError:
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
loop.run_until_complete(asyncio.wait(threads))
return self.stocks_dict
async def get_stock_detail(self, stock_code):
params = dict(stockCode=stock_code)
async with aiohttp.get(Leverfun.stock_api, params=params) as r:
r_json = await r.json()
self.stocks_dict[stock_code] = Leverfun.format_response_data(r_json)
@classmethod
def format_response_data(cls, response_data, **kwargs):
data = response_data['data']
buys = data['buyPankou']
sells = data['sellPankou']
stock_dict = dict(
close=round(data['preClose'], 3),
now=data['match'],
buy=buys[0]['price'],
sell=sells[0]['price'],
)
for trade_info_li, name in zip([sells, buys], ['ask', 'bid']):
for i, trade_info in enumerate(trade_info_li):
stock_dict['{name}{index}'.format(name=name, index=i + 1)] = trade_info['price']
stock_dict['{name}{index}_volume'.format(name=name, index=i + 1)] = trade_info['volume'] * 100
return stock_dict
if __name__ == "__main__":
code = ""
if code == "":
code = input("请输入代码：")
if code:
# 实例化十档行情
q = Leverfun()
while True:
# d_sina = quotaion_sina(code)
d_lf = q.stocks(code)
os.system("cls")
mydata = """
现价：%s 元
卖十价：%s   卖十量：%s 手    买十价：%s   买十量：%s 手
卖九价：%s   卖九量：%s 手    买九价：%s   买九量：%s 手
卖八价：%s   卖八量：%s 手    买八价：%s   买八量：%s 手
卖七价：%s   卖七量：%s 手    买七价：%s   买七量：%s 手
卖六价：%s   卖六量：%s 手    买六价：%s   买六量：%s 手
卖五价：%s   卖五量：%s 手    买五价：%s   买五量：%s 手
卖四价：%s   卖四量：%s 手    买四价：%s   买四量：%s 手
卖三价：%s   卖三量：%s 手    买三价：%s   买三量：%s 手
卖二价：%s   卖二量：%s 手    买二价：%s   买二量：%s 手
卖一价：%s   卖一量：%s 手    买一价：%s   买一量：%s 手
""" %(d_lf[code]['now'],d_lf[code]['ask10'],d_lf[code]['ask10_volume']/100,d_lf[code]['bid10'],d_lf[code]['bid10_volume']/100,
d_lf[code]['ask9'],d_lf[code]['ask9_volume']/100,d_lf[code]['bid9'],d_lf[code]['bid9_volume']/100,
d_lf[code]['ask8'],d_lf[code]['ask8_volume']/100,d_lf[code]['bid8'],d_lf[code]['bid8_volume']/100,
d_lf[code]['ask7'],d_lf[code]['ask7_volume']/100,d_lf[code]['bid7'],d_lf[code]['bid7_volume']/100,
d_lf[code]['ask6'],d_lf[code]['ask6_volume']/100,d_lf[code]['bid6'],d_lf[code]['bid6_volume']/100,
d_lf[code]['ask5'],d_lf[code]['ask5_volume']/100,d_lf[code]['bid5'],d_lf[code]['bid5_volume']/100,
d_lf[code]['ask4'],d_lf[code]['ask4_volume']/100,d_lf[code]['bid4'],d_lf[code]['bid4_volume']/100,
d_lf[code]['ask3'],d_lf[code]['ask3_volume']/100,d_lf[code]['bid3'],d_lf[code]['bid3_volume']/100,
d_lf[code]['ask2'],d_lf[code]['ask2_volume']/100,d_lf[code]['bid2'],d_lf[code]['bid2_volume']/100,
d_lf[code]['ask1'],d_lf[code]['ask1_volume']/100,d_lf[code]['bid1'],d_lf[code]['bid1_volume']/100,
)
print(mydata)
time.sleep(3)