Merge pull request #6312 from freqtrade/short_informative_decorator

Short informative decorator
This commit is contained in:
Matthias
2022-01-30 15:33:52 +01:00
committed by GitHub
5 changed files with 69 additions and 45 deletions

View File

@@ -1,4 +1,5 @@
from typing import Any, Callable, NamedTuple, Optional, Union
from dataclasses import dataclass
from typing import Any, Callable, Optional, Union
from pandas import DataFrame
@@ -10,16 +11,19 @@ from freqtrade.strategy.strategy_helper import merge_informative_pair
PopulateIndicators = Callable[[Any, DataFrame, dict], DataFrame]
class InformativeData(NamedTuple):
@dataclass
class InformativeData:
asset: Optional[str]
timeframe: str
fmt: Union[str, Callable[[Any], str], None]
ffill: bool
candle_type: CandleType
candle_type: Optional[CandleType]
def informative(timeframe: str, asset: str = '',
fmt: Optional[Union[str, Callable[[Any], str]]] = None,
*,
candle_type: Optional[CandleType] = None,
ffill: bool = True) -> Callable[[PopulateIndicators], PopulateIndicators]:
"""
A decorator for populate_indicators_Nn(self, dataframe, metadata), allowing these functions to
@@ -54,12 +58,11 @@ def informative(timeframe: str, asset: str = '',
_timeframe = timeframe
_fmt = fmt
_ffill = ffill
_candle_type = CandleType.from_string(candle_type) if candle_type else None
def decorator(fn: PopulateIndicators):
informative_pairs = getattr(fn, '_ft_informative', [])
# TODO-lev: Add candle_type to InformativeData
informative_pairs.append(InformativeData(_asset, _timeframe, _fmt, _ffill,
CandleType.SPOT))
informative_pairs.append(InformativeData(_asset, _timeframe, _fmt, _ffill, _candle_type))
setattr(fn, '_ft_informative', informative_pairs)
return fn
return decorator
@@ -76,6 +79,8 @@ def _create_and_merge_informative_pair(strategy, dataframe: DataFrame, metadata:
asset = inf_data.asset or ''
timeframe = inf_data.timeframe
fmt = inf_data.fmt
candle_type = inf_data.candle_type
config = strategy.config
if asset:
@@ -102,7 +107,7 @@ def _create_and_merge_informative_pair(strategy, dataframe: DataFrame, metadata:
fmt = '{base}_{quote}_' + fmt # Informatives of other pairs
inf_metadata = {'pair': asset, 'timeframe': timeframe}
inf_dataframe = strategy.dp.get_pair_dataframe(asset, timeframe)
inf_dataframe = strategy.dp.get_pair_dataframe(asset, timeframe, candle_type)
inf_dataframe = populate_indicators(strategy, inf_dataframe, inf_metadata)
formatter: Any = None

View File

@@ -147,7 +147,8 @@ class IStrategy(ABC, HyperStrategyMixin):
cls_method = getattr(self.__class__, attr_name)
if not callable(cls_method):
continue
informative_data_list = getattr(cls_method, '_ft_informative', None)
informative_data_list = getattr(
cls_method, '_ft_informative', None)
if not isinstance(informative_data_list, list):
# Type check is required because mocker would return a mock object that evaluates to
# True, confusing this code.
@@ -157,6 +158,8 @@ class IStrategy(ABC, HyperStrategyMixin):
if timeframe_to_minutes(informative_data.timeframe) < strategy_timeframe_minutes:
raise OperationalException('Informative timeframe must be equal or higher than '
'strategy timeframe!')
if not informative_data.candle_type:
informative_data.candle_type = config['candle_type_def']
self._ft_informative.append((informative_data, cls_method))
@abstractmethod
@@ -465,14 +468,17 @@ class IStrategy(ABC, HyperStrategyMixin):
# Compatibility code for 2 tuple informative pairs
informative_pairs = [
(p[0], p[1], CandleType.from_string(p[2]) if len(
p) > 2 else self.config.get('candle_type_def', CandleType.SPOT))
p) > 2 and p[2] != '' else self.config.get('candle_type_def', CandleType.SPOT))
for p in informative_pairs]
for inf_data, _ in self._ft_informative:
# Get default candle type if not provided explicitly.
candle_type = (inf_data.candle_type if inf_data.candle_type
else self.config.get('candle_type_def', CandleType.SPOT))
if inf_data.asset:
pair_tf = (
_format_pair_name(self.config, inf_data.asset),
inf_data.timeframe,
inf_data.candle_type
candle_type,
)
informative_pairs.append(pair_tf)
else:
@@ -480,7 +486,7 @@ class IStrategy(ABC, HyperStrategyMixin):
raise OperationalException('@informative decorator with unspecified asset '
'requires DataProvider instance.')
for pair in self.dp.current_whitelist():
informative_pairs.append((pair, inf_data.timeframe, inf_data.candle_type))
informative_pairs.append((pair, inf_data.timeframe, candle_type))
return list(set(informative_pairs))
def get_strategy_name(self) -> str: