def get_prices_by_date(self, coins, dates, **kwargs):
"""
:param coins: [] of str
List of coins
:param dates: [] of datetime
Dates and times to get price
:param kwargs: **
Extra args
:return: [] of {}
Price of coins at specified date and time
"""
start_time = time.time()
dates = list(dates)
prices = []
for i, date in enumerate(dates):
try:
new_prices = self.get_price(coins, date, **kwargs)
new_prices[DATE_TIME_KEY] = datetime_to_str(date)
prices.append(new_prices)
self.log("got price up to", date)
print_time_eta(get_time_eta(i + 1, len(dates), start_time))
except:
print("Failed getting price for", date)
return prices
def save_time_update(self):
"""
:return: void
Saves last time of update to config file
"""
self.last_update = datetime.now()
self.data["last_update"] = datetime_to_str(self.last_update)
self.save()
def get_market_cap(self, since, until):
"""
:param since: datetime
Get data since this date
:param until: datetime
Get data until this date
:return: {} <datetime -> float>
Each dict key is date and its value is the market cap at the date
"""
raw_data = self.download(self._create_url("marketcap", since, until))
data = raw_data["market_cap_by_available_supply"]
data = [{
DATE_TIME_KEY:
datetime_to_str(unix_timestamp_ms_to_datetime(item[0])),
VALUE_KEY:
float(item[1])
} for item in data]
return data
def run(self):
"""
:return: void
Updates each client and saves data
"""
interval = self.manager.update_interval().total_seconds()
threading.Timer(interval, self.run).start()
if self.verbose:
print("Updating local data...")
for updater in self.api_updaters:
try:
updater.update(self.verbose)
except:
print("Cannot update", get_actual_class_name(updater))
self.manager.save_time_update()
print("Next update:", datetime_to_str(self.manager.time_next_update()))
def save_balance(balances, output_file, timestamp=datetime.now()):
"""
:param balances: [] of {}
List of balanced for each wallet
:param output_file: str
Path to save data to
:param timestamp: datetime
Time of log
:return: void
Saves data to file
"""
balances = [
balance for balance in balances if not is_nan(balance[VALUE_KEY])
] # do not save
data = {}
for balance in balances: # lst -> dict
data[balance["symbol"]] = balance
data[DATE_TIME_KEY] = datetime_to_str(timestamp)
write_dicts_to_json(data, output_file)
