from pykrakenapi import KrakenAPI
import pandas
import krakenex
import time

class Kraken:
    def __init__(self):
        self.krakenAPI = krakenex.API()
        self.krakenAPI.load_key("kraken.key")
        self.krakenWrapper = KrakenAPI(self.krakenAPI)
        
    # Updates the current wallet prices from the internet
    def updateBalances(self):
        __newBalances = self.krakenWrapper.get_account_balance()
        #print(self.balances.loc["XXBT","vol"]-__newBalances.loc["XXBT","vol"])
        #print(self.balances.loc["XXDG","vol"]-__newBalances.loc["XXDG","vol"])
        #print(self.balances.loc["ZUSD","vol"]-__newBalances.loc["ZUSD","vol"])
        
        self.balances = __newBalances
    
    # Gets a table of the price history of the pair since time at intervals of interval minutes
    def getPrices(self, pair, time=round(time.time())-(30*24*3600), interval=60):
        self.prices = self.krakenWrapper.get_ohlc_data(pair, interval=interval, since=time)[0].close.iloc[::-1]


    # Calculates the exponential moving average by grabbing data from Kraken on the conversion rate every interval minutes.
    def calculateEMA(self, shortTime=round(time.time())-(7*24*3600), longTime=round(time.time())-(30*24*3600), interval=60):
        #self.prices = self.krakenWrapper.get_ohlc_data("XXBTZUSD", interval=interval, since=longTime)[0].close.iloc[::-1]
        
        self.longEMA = self.prices.ewm(span=1*24).mean()
        self.shortEMA = self.prices.ewm(span=6).mean()