def update_realtime(self, fakeNow = None):
if not trading_date_time.isRealtimeDataAvailableChina(fakeNow):
print("Not requesting realtime data because trade has closed.")
return
data = price_data_loader_china.get().get_realtime_quotes(self.code).iloc[0]
print(data)
price = float(data["price"])
time_str = "%s %s" % (data["date"], data["time"])
for interval in PriceData.INTERVALS:
self.__update_realtime_at_interval(interval, price, time_str)
def get_tencent_hist_data_by_interval(self, interval):
data = price_data_loader_china.get().get_k_data(code = self.code, ktype = PriceData.INTERVAL_TO_REQUEST_MAP[interval])
if interval.endswith("min"):
# Fix date format for minute intervals.
size = len(data.index)
for i in range(size):
data.at[i, "date"] = "%s:00" % data.at[i, "date"]
# Remove irregular data. Tecent data gives one more minute record for current minute interval when trading!
i = size - 1
last_datetime = datetime.datetime.strptime(data.at[i, "date"], TradingDateTime.DATETIME_STRFTIME)
close_datetime = trading_date_time.closeTimeOfCurrentMinuteIntervalChina(int(interval[:-3]), last_datetime)
if last_datetime != close_datetime:
print(last_datetime, close_datetime)
data.drop(i, inplace = True)
data = data.set_index("date").sort_index()
return data
def get_ifeng_hist_data_by_interval(self, interval):
return price_data_loader_china.get().get_hist_data(code = self.code, ktype = PriceData.INTERVAL_TO_REQUEST_MAP[interval])
def __load_data_frame_from_csv(self, csv_path):
if os.path.exists(csv_path):
return price_data_loader_china.get().read_csv(csv_path, index_col = 0)
else:
print("File not found: %s. Will do fresh download instead." % csv_path)
return None
def __save_data_frame_to_csv(self, df, csv_path):
price_data_loader_china.get().save_csv(df, csv_path)
def nowChina(self):
return price_data_loader_china.get().now()