57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
# pragma pylint: disable=attribute-defined-outside-init
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"""
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This module load a custom model for freqai
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"""
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import logging
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from pathlib import Path
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from freqtrade.constants import USERPATH_FREQAIMODELS, Config
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from freqtrade.exceptions import OperationalException
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from freqtrade.freqai.freqai_interface import IFreqaiModel
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from freqtrade.resolvers import IResolver
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logger = logging.getLogger(__name__)
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class FreqaiModelResolver(IResolver):
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"""
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This class contains all the logic to load custom hyperopt loss class
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"""
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object_type = IFreqaiModel
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object_type_str = "FreqaiModel"
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user_subdir = USERPATH_FREQAIMODELS
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initial_search_path = (
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Path(__file__).parent.parent.joinpath("freqai/prediction_models").resolve()
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)
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extra_path = "freqaimodel_path"
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@staticmethod
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def load_freqaimodel(config: Config) -> IFreqaiModel:
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"""
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Load the custom class from config parameter
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:param config: configuration dictionary
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"""
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disallowed_models = ["BaseRegressionModel", "BaseTensorFlowModel"]
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freqaimodel_name = config.get("freqaimodel")
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if not freqaimodel_name:
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raise OperationalException(
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"No freqaimodel set. Please use `--freqaimodel` to "
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"specify the FreqaiModel class to use.\n"
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)
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if freqaimodel_name in disallowed_models:
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raise OperationalException(
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f"{freqaimodel_name} is a baseclass and cannot be used directly. Please choose "
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"an existing child class or inherit from this baseclass.\n"
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)
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freqaimodel = FreqaiModelResolver.load_object(
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freqaimodel_name,
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config,
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kwargs={"config": config},
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)
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return freqaimodel
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