store dataframe updated as tuple
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fd97ad9b76
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@ -336,4 +336,5 @@ CANCEL_REASON = {
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}
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# List of pairs with their timeframes
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ListPairsWithTimeframes = List[Tuple[str, str]]
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PairWithTimeframe = Tuple[str, str]
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ListPairsWithTimeframes = List[PairWithTimeframe]
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@ -5,12 +5,13 @@ including ticker and orderbook data, live and historical candle (OHLCV) data
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Common Interface for bot and strategy to access data.
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"""
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import logging
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from datetime import datetime
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from typing import Any, Dict, List, Optional, Tuple
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from arrow import Arrow
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from pandas import DataFrame
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from freqtrade.constants import ListPairsWithTimeframes
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from freqtrade.constants import ListPairsWithTimeframes, PairWithTimeframe
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from freqtrade.data.history import load_pair_history
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from freqtrade.exceptions import DependencyException, OperationalException
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from freqtrade.exchange import Exchange
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@ -25,7 +26,7 @@ class DataProvider:
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self._config = config
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self._exchange = exchange
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self._pairlists = pairlists
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self.__cached_pairs: Dict[Tuple(str, str), DataFrame] = {}
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self.__cached_pairs: Dict[PairWithTimeframe, Tuple(DataFrame, datetime)] = {}
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def _set_cached_df(self, pair: str, timeframe: str, dataframe: DataFrame) -> None:
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"""
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@ -36,10 +37,7 @@ class DataProvider:
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:param timeframe: Timeframe to get data for
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:param dataframe: analyzed dataframe
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"""
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self.__cached_pairs[(pair, timeframe)] = {
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'data': dataframe,
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'updated': Arrow.utcnow().datetime,
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}
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self.__cached_pairs[(pair, timeframe)] = (dataframe, Arrow.utcnow().datetime)
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def refresh(self,
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pairlist: ListPairsWithTimeframes,
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@ -104,15 +102,17 @@ class DataProvider:
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logger.warning(f"No data found for ({pair}, {timeframe}).")
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return data
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def get_analyzed_dataframe(self, pair: str, timeframe: str = None) -> DataFrame:
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def get_analyzed_dataframe(self, pair: str,
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timeframe: str = None) -> Tuple[DataFrame, datetime]:
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"""
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:param pair: pair to get the data for
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:param timeframe: timeframe to get data for
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:return: Analyzed Dataframe for this pair
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:return: Tuple of (Analyzed Dataframe, lastrefreshed) for the requested pair / timeframe
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combination
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"""
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# TODO: check updated time and don't return outdated data.
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if (pair, timeframe) in self._set_cached_df:
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return self._set_cached_df[(pair, timeframe)]['data']
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if (pair, timeframe) in self.__cached_pairs:
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return self.__cached_pairs[(pair, timeframe)]
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else:
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# TODO: this is most likely wrong...
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raise ValueError(f"No analyzed dataframe found for ({pair}, {timeframe})")
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