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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._exchange = exchange
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:
"""
@ -102,8 +102,7 @@ class DataProvider:
logger.warning(f"No data found for ({pair}, {timeframe}).")
return data
def get_analyzed_dataframe(self, pair: str,
timeframe: str = None) -> Tuple[DataFrame, datetime]:
def get_analyzed_dataframe(self, pair: str, timeframe: str) -> Tuple[DataFrame, datetime]:
"""
:param pair: pair to get the 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.data.dataprovider import DataProvider
from freqtrade.exceptions import StrategyError
from freqtrade.exceptions import StrategyError, OperationalException
from freqtrade.exchange import timeframe_to_minutes
from freqtrade.persistence import Trade
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.
dataframe = self.analyze_ticker(dataframe, metadata)
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:
logger.debug("Skipping TA Analysis for already analyzed candle")
dataframe['buy'] = 0
@ -295,6 +296,8 @@ class IStrategy(ABC):
The analyzed dataframe is then accessible via `dp.get_analyzed_dataframe()`.
:param pair: Pair to analyze.
"""
if not self.dp:
raise OperationalException("DataProvider not found.")
dataframe = self.dp.ohlcv(pair, self.timeframe)
if not isinstance(dataframe, DataFrame) or dataframe.empty:
logger.warning('Empty candle (OHLCV) data for pair %s', pair)
@ -349,6 +352,8 @@ class IStrategy(ABC):
:param dataframe: Dataframe to analyze
: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)