Improve some typehints
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@ -1388,8 +1388,7 @@ class Exchange:
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return pair, timeframe, candle_type, data
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return pair, timeframe, candle_type, data
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def refresh_latest_ohlcv(self, pair_list: ListPairsWithTimeframes, *,
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def refresh_latest_ohlcv(self, pair_list: ListPairsWithTimeframes, *,
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since_ms: Optional[int] = None, cache: bool = True,
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since_ms: Optional[int] = None, cache: bool = True
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candle_type: CandleType = CandleType.SPOT_
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) -> Dict[PairWithTimeframe, DataFrame]:
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) -> Dict[PairWithTimeframe, DataFrame]:
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"""
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"""
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Refresh in-memory OHLCV asynchronously and set `_klines` with the result
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Refresh in-memory OHLCV asynchronously and set `_klines` with the result
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@ -1398,7 +1397,6 @@ class Exchange:
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:param pair_list: List of 2 element tuples containing pair, interval to refresh
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:param pair_list: List of 2 element tuples containing pair, interval to refresh
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:param since_ms: time since when to download, in milliseconds
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:param since_ms: time since when to download, in milliseconds
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:param cache: Assign result to _klines. Usefull for one-off downloads like for pairlists
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:param cache: Assign result to _klines. Usefull for one-off downloads like for pairlists
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:param candle_type: '', mark, index, premiumIndex, or funding_rate
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:return: Dict of [{(pair, timeframe): Dataframe}]
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:return: Dict of [{(pair, timeframe): Dataframe}]
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"""
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"""
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logger.debug("Refreshing candle (OHLCV) data for %d pairs", len(pair_list))
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logger.debug("Refreshing candle (OHLCV) data for %d pairs", len(pair_list))
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@ -9,6 +9,7 @@ import arrow
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from pandas import DataFrame
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from pandas import DataFrame
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from freqtrade.configuration import PeriodicCache
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from freqtrade.configuration import PeriodicCache
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from freqtrade.constants import ListPairsWithTimeframes
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from freqtrade.enums import CandleType
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from freqtrade.enums import CandleType
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from freqtrade.exceptions import OperationalException
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from freqtrade.exceptions import OperationalException
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from freqtrade.misc import plural
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from freqtrade.misc import plural
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@ -72,7 +73,7 @@ class AgeFilter(IPairList):
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:param tickers: Tickers (from exchange.get_tickers()). May be cached.
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:param tickers: Tickers (from exchange.get_tickers()). May be cached.
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:return: new allowlist
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:return: new allowlist
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"""
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"""
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needed_pairs = [
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needed_pairs: ListPairsWithTimeframes = [
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(p, '1d', CandleType.SPOT_) for p in pairlist
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(p, '1d', CandleType.SPOT_) for p in pairlist
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if p not in self._symbolsChecked and p not in self._symbolsCheckFailed]
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if p not in self._symbolsChecked and p not in self._symbolsCheckFailed]
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if not needed_pairs:
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if not needed_pairs:
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@ -11,6 +11,7 @@ import numpy as np
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from cachetools.ttl import TTLCache
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from cachetools.ttl import TTLCache
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from pandas import DataFrame
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from pandas import DataFrame
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from freqtrade.constants import ListPairsWithTimeframes
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from freqtrade.enums import CandleType
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from freqtrade.enums import CandleType
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from freqtrade.exceptions import OperationalException
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from freqtrade.exceptions import OperationalException
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from freqtrade.misc import plural
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from freqtrade.misc import plural
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@ -68,7 +69,8 @@ class VolatilityFilter(IPairList):
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:param tickers: Tickers (from exchange.get_tickers()). May be cached.
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:param tickers: Tickers (from exchange.get_tickers()). May be cached.
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:return: new allowlist
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:return: new allowlist
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"""
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"""
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needed_pairs = [(p, '1d', CandleType.SPOT_) for p in pairlist if p not in self._pair_cache]
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needed_pairs: ListPairsWithTimeframes = [
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(p, '1d', CandleType.SPOT_) for p in pairlist if p not in self._pair_cache]
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since_ms = (arrow.utcnow()
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since_ms = (arrow.utcnow()
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.floor('day')
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.floor('day')
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@ -10,6 +10,7 @@ from typing import Any, Dict, List
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import arrow
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import arrow
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from cachetools.ttl import TTLCache
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from cachetools.ttl import TTLCache
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from freqtrade.constants import ListPairsWithTimeframes
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from freqtrade.enums import CandleType
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from freqtrade.enums import CandleType
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from freqtrade.exceptions import OperationalException
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from freqtrade.exceptions import OperationalException
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.exchange import timeframe_to_minutes
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@ -160,7 +161,7 @@ class VolumePairList(IPairList):
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self.log_once(f"Using volume range of {self._lookback_period} candles, timeframe: "
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self.log_once(f"Using volume range of {self._lookback_period} candles, timeframe: "
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f"{self._lookback_timeframe}, starting from {format_ms_time(since_ms)} "
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f"{self._lookback_timeframe}, starting from {format_ms_time(since_ms)} "
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f"till {format_ms_time(to_ms)}", logger.info)
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f"till {format_ms_time(to_ms)}", logger.info)
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needed_pairs = [
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needed_pairs: ListPairsWithTimeframes = [
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(p, self._lookback_timeframe, CandleType.SPOT_) for p in
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(p, self._lookback_timeframe, CandleType.SPOT_) for p in
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[s['symbol'] for s in filtered_tickers]
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[s['symbol'] for s in filtered_tickers]
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if p not in self._pair_cache
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if p not in self._pair_cache
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@ -9,6 +9,7 @@ import arrow
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from cachetools.ttl import TTLCache
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from cachetools.ttl import TTLCache
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from pandas import DataFrame
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from pandas import DataFrame
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from freqtrade.constants import ListPairsWithTimeframes
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from freqtrade.enums import CandleType
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from freqtrade.enums import CandleType
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from freqtrade.exceptions import OperationalException
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from freqtrade.exceptions import OperationalException
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from freqtrade.misc import plural
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from freqtrade.misc import plural
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@ -66,7 +67,8 @@ class RangeStabilityFilter(IPairList):
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:param tickers: Tickers (from exchange.get_tickers()). May be cached.
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:param tickers: Tickers (from exchange.get_tickers()). May be cached.
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:return: new allowlist
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:return: new allowlist
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"""
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"""
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needed_pairs = [(p, '1d', CandleType.SPOT_) for p in pairlist if p not in self._pair_cache]
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needed_pairs: ListPairsWithTimeframes = [
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(p, '1d', CandleType.SPOT_) for p in pairlist if p not in self._pair_cache]
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since_ms = (arrow.utcnow()
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since_ms = (arrow.utcnow()
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.floor('day')
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.floor('day')
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