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Fix type errors by converting all hyperopt methods to instance methods

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This commit is contained in:
Matthias 2021-04-01 06:47:23 +02:00
parent 5e5b11d4d6
commit 5acdc9bf42
2 changed files with 14 additions and 22 deletions
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33
freqtrade/optimize/hyperopt_interface.py
View File

@ -44,36 +44,31 @@ class IHyperOpt(ABC):
IHyperOpt.ticker_interval = str(config['timeframe']) # DEPRECATED
IHyperOpt.timeframe = str(config['timeframe'])
@staticmethod
def buy_strategy_generator(params: Dict[str, Any]) -> Callable:
def buy_strategy_generator(self, params: Dict[str, Any]) -> Callable:
"""
Create a buy strategy generator.
"""
raise OperationalException(_format_exception_message('buy_strategy_generator', 'buy'))
@staticmethod
def sell_strategy_generator(params: Dict[str, Any]) -> Callable:
def sell_strategy_generator(self, params: Dict[str, Any]) -> Callable:
"""
Create a sell strategy generator.
"""
raise OperationalException(_format_exception_message('sell_strategy_generator', 'sell'))
@staticmethod
def indicator_space() -> List[Dimension]:
def indicator_space(self) -> List[Dimension]:
"""
Create an indicator space.
"""
raise OperationalException(_format_exception_message('indicator_space', 'buy'))
@staticmethod
def sell_indicator_space() -> List[Dimension]:
def sell_indicator_space(self) -> List[Dimension]:
"""
Create a sell indicator space.
"""
raise OperationalException(_format_exception_message('sell_indicator_space', 'sell'))
@staticmethod
def generate_roi_table(params: Dict) -> Dict[int, float]:
def generate_roi_table(self, params: Dict) -> Dict[int, float]:
"""
Create a ROI table.
@ -88,8 +83,7 @@ class IHyperOpt(ABC):
return roi_table
@staticmethod
def roi_space() -> List[Dimension]:
def roi_space(self) -> List[Dimension]:
"""
Create a ROI space.
@ -109,7 +103,7 @@ class IHyperOpt(ABC):
roi_t_alpha = 1.0
roi_p_alpha = 1.0
timeframe_min = timeframe_to_minutes(IHyperOpt.ticker_interval)
timeframe_min = timeframe_to_minutes(self.ticker_interval)
# We define here limits for the ROI space parameters automagically adapted to the
# timeframe used by the bot:
@ -145,7 +139,7 @@ class IHyperOpt(ABC):
'roi_p2': roi_limits['roi_p2_min'],
'roi_p3': roi_limits['roi_p3_min'],
}
logger.info(f"Min roi table: {round_dict(IHyperOpt.generate_roi_table(p), 5)}")
logger.info(f"Min roi table: {round_dict(self.generate_roi_table(p), 5)}")
p = {
'roi_t1': roi_limits['roi_t1_max'],
'roi_t2': roi_limits['roi_t2_max'],
@ -154,7 +148,7 @@ class IHyperOpt(ABC):
'roi_p2': roi_limits['roi_p2_max'],
'roi_p3': roi_limits['roi_p3_max'],
}
logger.info(f"Max roi table: {round_dict(IHyperOpt.generate_roi_table(p), 5)}")
logger.info(f"Max roi table: {round_dict(self.generate_roi_table(p), 5)}")
return [
Integer(roi_limits['roi_t1_min'], roi_limits['roi_t1_max'], name='roi_t1'),
@ -165,8 +159,7 @@ class IHyperOpt(ABC):
Real(roi_limits['roi_p3_min'], roi_limits['roi_p3_max'], name='roi_p3'),
]
@staticmethod
def stoploss_space() -> List[Dimension]:
def stoploss_space(self) -> List[Dimension]:
"""
Create a stoploss space.
@ -177,8 +170,7 @@ class IHyperOpt(ABC):
Real(-0.35, -0.02, name='stoploss'),
]
@staticmethod
def generate_trailing_params(params: Dict) -> Dict:
def generate_trailing_params(self, params: Dict) -> Dict:
"""
Create dict with trailing stop parameters.
"""
@ -190,8 +182,7 @@ class IHyperOpt(ABC):
'trailing_only_offset_is_reached': params['trailing_only_offset_is_reached'],
}
@staticmethod
def trailing_space() -> List[Dimension]:
def trailing_space(self) -> List[Dimension]:
"""
Create a trailing stoploss space.

3
freqtrade/strategy/hyper.py
View File

@ -101,7 +101,8 @@ class FloatParameter(BaseParameter):
opt_range: Sequence[float]
def __init__(self, low: Union[float, Sequence[float]], high: Optional[float] = None, *,
default: float, space: Optional[str] = None, optimize: bool = True, load: bool = True, **kwargs):
default: float, space: Optional[str] = None,
optimize: bool = True, load: bool = True, **kwargs):
"""
Initialize hyperopt-optimizable parameter.
:param low: Lower end (inclusive) of optimization space or [low, high].