Refactor async-refresh to it's own function
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@ -2,7 +2,7 @@
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""" Cryptocurrency Exchanges support """
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import logging
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from random import randint
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from typing import List, Dict, Any, Optional
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from typing import List, Dict, Tuple, Any, Optional
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from datetime import datetime
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from math import floor, ceil
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@ -95,7 +95,7 @@ class Exchange(object):
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'secret': exchange_config.get('secret'),
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'password': exchange_config.get('password'),
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'uid': exchange_config.get('uid', ''),
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#'enableRateLimit': True,
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# 'enableRateLimit': True,
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'enableRateLimit': False,
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})
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except (KeyError, AttributeError):
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@ -334,23 +334,23 @@ class Exchange(object):
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logger.info("returning cached ticker-data for %s", pair)
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return self._cached_ticker[pair]
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async def async_get_tickers_history(self, pairs, tick_interval):
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# COMMENTED CODE IS FOR DISCUSSION: where should we close the loop on async ?
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#loop = asyncio.new_event_loop()
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#asyncio.set_event_loop(loop)
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input_coroutines = [self.async_get_ticker_history(symbol, tick_interval) for symbol in pairs]
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# COMMENTED CODE IS FOR DISCUSSION: where should we close the loop on async ?
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# loop = asyncio.new_event_loop()
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# asyncio.set_event_loop(loop)
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input_coroutines = [self.async_get_ticker_history(
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symbol, tick_interval) for symbol in pairs]
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tickers = await asyncio.gather(*input_coroutines, return_exceptions=True)
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#await self._api_async.close()
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# await self._api_async.close()
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return tickers
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async def async_get_ticker_history(self, pair: str, tick_interval: str,
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since_ms: Optional[int] = None) -> List[Dict]:
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since_ms: Optional[int] = None) -> Tuple[str, List]:
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try:
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# fetch ohlcv asynchronously
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print("fetching %s ..." % pair)
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logger.debug("fetching %s ...", pair)
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data = await self._api_async.fetch_ohlcv(pair, timeframe=tick_interval, since=since_ms)
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print("done fetching %s ..." % pair)
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logger.debug("done fetching %s ...", pair)
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return pair, data
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except ccxt.NotSupported as e:
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@ -363,6 +363,12 @@ class Exchange(object):
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except ccxt.BaseError as e:
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raise OperationalException(f'Could not fetch ticker data. Msg: {e}')
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def refresh_tickers(self, pair_list: List[str], ticker_interval: str) -> Dict:
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logger.debug("Refreshing klines for %d pairs", len(pair_list))
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datatups = asyncio.get_event_loop().run_until_complete(
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self.async_get_tickers_history(pair_list, ticker_interval))
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return {pair: data for (pair, data) in datatups}
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@retrier
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def get_ticker_history(self, pair: str, tick_interval: str,
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since_ms: Optional[int] = None) -> List[Dict]:
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@ -8,7 +8,6 @@ import time
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import traceback
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from datetime import datetime
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from typing import Any, Callable, Dict, List, Optional
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import asyncio
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import arrow
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import requests
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@ -149,9 +148,7 @@ class FreqtradeBot(object):
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final_list = sanitized_list[:nb_assets] if nb_assets else sanitized_list
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self.config['exchange']['pair_whitelist'] = final_list
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datatups = asyncio.get_event_loop().run_until_complete(
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self.exchange.async_get_tickers_history(final_list, self.strategy.ticker_interval))
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self._klines = {pair: data for (pair, data) in datatups}
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self._klines = self.exchange.refresh_tickers(final_list, self.strategy.ticker_interval)
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# Query trades from persistence layer
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trades = Trade.query.filter(Trade.is_open.is_(True)).all()
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@ -306,13 +303,7 @@ class FreqtradeBot(object):
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amount_reserve_percent += self.strategy.stoploss
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# it should not be more than 50%
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amount_reserve_percent = max(amount_reserve_percent, 0.5)
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return min(min_stake_amounts)/amount_reserve_percent
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async def async_get_tickers(self, exchange, pairs):
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input_coroutines = [exchange.async_get_ticker_history(symbol, self.strategy.ticker_interval) for symbol in pairs]
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tickers = await asyncio.gather(*input_coroutines, return_exceptions=True)
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return tickers
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#await exchange.close()
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return min(min_stake_amounts) / amount_reserve_percent
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def create_trade(self) -> bool:
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"""
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@ -341,17 +332,13 @@ class FreqtradeBot(object):
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if not whitelist:
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raise DependencyException('No currency pairs in whitelist')
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# fetching kline history for all pairs asynchronously and wait till all done
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# data = asyncio.get_event_loop().run_until_complete(self.exchange.async_get_tickers_history(whitelist, self.strategy.ticker_interval))
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# list of pairs having buy signals
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buy_pairs = []
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# running get_signal on historical data fetched
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# to find buy signals
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for _pair, thistory in self._klines.items():
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(buy, sell) = self.strategy.get_signal(_pair, interval, thistory)
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for _pair in whitelist:
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(buy, sell) = self.strategy.get_signal(_pair, interval, self._klines[_pair])
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if buy and not sell:
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buy_pairs.append(_pair)
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