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ignore initializer type

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This commit is contained in:
robcaulk 2022-12-04 14:10:33 +01:00
parent 24766928ba
commit d8565261e1
2 changed files with 4 additions and 4 deletions
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1
freqtrade/freqai/RL/BaseEnvironment.py
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@ -77,6 +77,7 @@ class BaseEnvironment(gym.Env):
# set here to default 5Ac, but all children envs can overwrite this # set here to default 5Ac, but all children envs can overwrite this
self.actions: Type[Enum] = BaseActions self.actions: Type[Enum] = BaseActions
self.custom_info: dict = {}
def reset_env(self, df: DataFrame, prices: DataFrame, window_size: int, def reset_env(self, df: DataFrame, prices: DataFrame, window_size: int,
reward_kwargs: dict, starting_point=True): reward_kwargs: dict, starting_point=True):

7
freqtrade/freqai/RL/TensorboardCallback.py
View File

@ -4,7 +4,7 @@ from typing import Any, Dict, Type, Union
from stable_baselines3.common.callbacks import BaseCallback from stable_baselines3.common.callbacks import BaseCallback
from stable_baselines3.common.logger import HParam from stable_baselines3.common.logger import HParam
from freqtrade.freqai.RL.BaseEnvironment import BaseActions from freqtrade.freqai.RL.BaseEnvironment import BaseActions, BaseEnvironment
class TensorboardCallback(BaseCallback): class TensorboardCallback(BaseCallback):
@ -15,9 +15,8 @@ class TensorboardCallback(BaseCallback):
def __init__(self, verbose=1, actions: Type[Enum] = BaseActions): def __init__(self, verbose=1, actions: Type[Enum] = BaseActions):
super(TensorboardCallback, self).__init__(verbose) super(TensorboardCallback, self).__init__(verbose)
self.model: Any = None self.model: Any = None
# An alias for self.model.get_env(), the environment used for training
self.logger = None # type: Any self.logger = None # type: Any
# self.training_env = None # type: Union[gym.Env, VecEnv] self.training_env: BaseEnvironment = None # type: ignore
self.actions: Type[Enum] = actions self.actions: Type[Enum] = actions
def _on_training_start(self) -> None: def _on_training_start(self) -> None:
@ -43,7 +42,7 @@ class TensorboardCallback(BaseCallback):
) )
def _on_step(self) -> bool: def _on_step(self) -> bool:
custom_info = self.training_env.get_attr("custom_info")[0] # type: ignore custom_info = self.training_env.custom_info
self.logger.record("_state/position", self.locals["infos"][0]["position"]) self.logger.record("_state/position", self.locals["infos"][0]["position"])
self.logger.record("_state/trade_duration", self.locals["infos"][0]["trade_duration"]) self.logger.record("_state/trade_duration", self.locals["infos"][0]["trade_duration"])
self.logger.record("_state/current_profit_pct", self.locals["infos"] self.logger.record("_state/current_profit_pct", self.locals["infos"]