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Explicitly check if dp is available

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This commit is contained in:
Matthias 2020-06-15 14:08:57 +02:00
parent 55fa514ec9
commit 8166b37253
2 changed files with 9 additions and 5 deletions
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5
freqtrade/data/dataprovider.py
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@ -26,7 +26,7 @@ class DataProvider:
self._config = config self._config = config
self._exchange = exchange self._exchange = exchange
self._pairlists = pairlists self._pairlists = pairlists
self.__cached_pairs: Dict[PairWithTimeframe, Tuple(DataFrame, datetime)] = {} self.__cached_pairs: Dict[PairWithTimeframe, Tuple[DataFrame, datetime]] = {}
def _set_cached_df(self, pair: str, timeframe: str, dataframe: DataFrame) -> None: def _set_cached_df(self, pair: str, timeframe: str, dataframe: DataFrame) -> None:
""" """
@ -102,8 +102,7 @@ class DataProvider:
logger.warning(f"No data found for ({pair}, {timeframe}).") logger.warning(f"No data found for ({pair}, {timeframe}).")
return data return data
def get_analyzed_dataframe(self, pair: str, def get_analyzed_dataframe(self, pair: str, timeframe: str) -> Tuple[DataFrame, datetime]:
timeframe: str = None) -> Tuple[DataFrame, datetime]:
""" """
:param pair: pair to get the data for :param pair: pair to get the data for
:param timeframe: timeframe to get data for :param timeframe: timeframe to get data for

9
freqtrade/strategy/interface.py
View File

@ -14,7 +14,7 @@ from pandas import DataFrame
from freqtrade.constants import ListPairsWithTimeframes from freqtrade.constants import ListPairsWithTimeframes
from freqtrade.data.dataprovider import DataProvider from freqtrade.data.dataprovider import DataProvider
from freqtrade.exceptions import StrategyError from freqtrade.exceptions import StrategyError, OperationalException
from freqtrade.exchange import timeframe_to_minutes from freqtrade.exchange import timeframe_to_minutes
from freqtrade.persistence import Trade from freqtrade.persistence import Trade
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
@ -276,7 +276,8 @@ class IStrategy(ABC):
# Defs that only make change on new candle data. # Defs that only make change on new candle data.
dataframe = self.analyze_ticker(dataframe, metadata) dataframe = self.analyze_ticker(dataframe, metadata)
self._last_candle_seen_per_pair[pair] = dataframe.iloc[-1]['date'] self._last_candle_seen_per_pair[pair] = dataframe.iloc[-1]['date']
self.dp._set_cached_df(pair, self.timeframe, dataframe) if self.dp:
self.dp._set_cached_df(pair, self.timeframe, dataframe)
else: else:
logger.debug("Skipping TA Analysis for already analyzed candle") logger.debug("Skipping TA Analysis for already analyzed candle")
dataframe['buy'] = 0 dataframe['buy'] = 0
@ -295,6 +296,8 @@ class IStrategy(ABC):
The analyzed dataframe is then accessible via `dp.get_analyzed_dataframe()`. The analyzed dataframe is then accessible via `dp.get_analyzed_dataframe()`.
:param pair: Pair to analyze. :param pair: Pair to analyze.
""" """
if not self.dp:
raise OperationalException("DataProvider not found.")
dataframe = self.dp.ohlcv(pair, self.timeframe) dataframe = self.dp.ohlcv(pair, self.timeframe)
if not isinstance(dataframe, DataFrame) or dataframe.empty: if not isinstance(dataframe, DataFrame) or dataframe.empty:
logger.warning('Empty candle (OHLCV) data for pair %s', pair) logger.warning('Empty candle (OHLCV) data for pair %s', pair)
@ -349,6 +352,8 @@ class IStrategy(ABC):
:param dataframe: Dataframe to analyze :param dataframe: Dataframe to analyze
:return: (Buy, Sell) A bool-tuple indicating buy/sell signal :return: (Buy, Sell) A bool-tuple indicating buy/sell signal
""" """
if not self.dp:
raise OperationalException("DataProvider not found.")
dataframe, _ = self.dp.get_analyzed_dataframe(pair, timeframe) dataframe, _ = self.dp.get_analyzed_dataframe(pair, timeframe)