def test_get_all_alignment(self):
""" Compare bulk 'all_info' values to individual values.
Currently broken due to misalignment from invalid CSV in
fields: f6, k3, and maybe j2, a5, b6.
"""
symbol = 'GOOG'
all_info = ystockquote.get_all(symbol)
self.assertIsInstance(all_info, dict)
self.assertEquals(
all_info['previous_close'],
ystockquote.get_previous_close(symbol))
self.assertEquals(
all_info['volume'],
ystockquote.get_volume(symbol))
self.assertEquals(
all_info['bid_realtime'],
ystockquote.get_bid_realtime(symbol))
self.assertEquals(
all_info['ask_realtime'],
ystockquote.get_ask_realtime(symbol))
self.assertEquals(
all_info['last_trade_price'],
ystockquote.get_last_trade_price(symbol))
self.assertEquals(
all_info['today_open'],
ystockquote.get_today_open(symbol))
self.assertEquals(
all_info['todays_high'],
ystockquote.get_todays_high(symbol))
self.assertEquals(
all_info['last_trade_date'],
ystockquote.get_last_trade_date(symbol))
def test_get_all_alignment_new(self):
""" Compare bulk 'all_info' values to individual values.
Currently broken due to misalignment from invalid CSV in
fields: f6, k3, and maybe j2, a5, b6.
"""
symbol = 'GOOG'
all_info = quote_properties.get_all(symbol)
self.assertIsInstance(all_info, dict)
self.assertEquals(
all_info['PreviousClose'],
ystockquote.get_previous_close(symbol))
self.assertEquals(
all_info['Volume'],
ystockquote.get_volume(symbol))
self.assertEquals(
all_info['BidRealtime'],
ystockquote.get_bid_realtime(symbol))
self.assertEquals(
all_info['AskRealtime'],
ystockquote.get_ask_realtime(symbol))
self.assertEquals(
all_info['LastTradePriceOnly'],
ystockquote.get_last_trade_price(symbol))
self.assertEquals(
all_info['Open'],
ystockquote.get_today_open(symbol))
self.assertEquals(
all_info['DaysHigh'],
ystockquote.get_todays_high(symbol))
self.assertEquals(
all_info['LastTradeDate'],
ystockquote.get_last_trade_date(symbol))
def stock_properties(stock):
""" Retrieves properties for a given stock and returns a
dictionary containing it. """
stock_dict = {}
stock_dict["stock_name"] = stock.name
stock_dict["stock_ask_realtime"] = ystockquote.get_ask_realtime(stock.symbol)
stock_dict["stock_today_open"] = ystockquote.get_today_open(stock.symbol)
stock_dict["stock_volume"] = ystockquote.get_volume(stock.symbol)
stock_dict["stock_change"] = ystockquote.get_change(stock.symbol)
stock_dict["stock_change_percent"] = ystockquote.get_change_percent(stock.symbol)[1:-1]
stock_dict["stock_todays_range"] = ystockquote.get_todays_range(stock.symbol)[1:-1]
# Gets past dates
stock_dict["historical_prices_dict"] = collections.OrderedDict(
sorted(eval(stock.historical_prices).items(), key=lambda t: t[0])
)
return stock_dict
#!/usr/bin/python
#coding=utf8
import ystockquote
#获取该股票所有信息
print ystockquote.get_all('GOOG')
#获取当前股价
print ystockquote.get_ask_realtime('GOOG')
#获取2012.11.22到2013.10.1历史报价
print ystockquote.get_historical_prices("GOOG", '2012.11.22', '2013.10.1')