78 lines
2.9 KiB
Python
78 lines
2.9 KiB
Python
# pragma pylint: disable=attribute-defined-outside-init
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"""
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This module load custom hyperopts
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"""
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import logging
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from pathlib import Path
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from typing import Optional, Dict
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from freqtrade.constants import DEFAULT_HYPEROPT
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from freqtrade.optimize.hyperopt_interface import IHyperOpt
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from freqtrade.resolvers import IResolver
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logger = logging.getLogger(__name__)
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class HyperOptResolver(IResolver):
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"""
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This class contains all the logic to load custom hyperopt class
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"""
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__slots__ = ['hyperopt']
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def __init__(self, config: Optional[Dict] = None) -> None:
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"""
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Load the custom class from config parameter
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:param config: configuration dictionary or None
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"""
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config = config or {}
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# Verify the hyperopt is in the configuration, otherwise fallback to the default hyperopt
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hyperopt_name = config.get('hyperopt') or DEFAULT_HYPEROPT
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self.hyperopt = self._load_hyperopt(hyperopt_name, extra_dir=config.get('hyperopt_path'))
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# Assign ticker_interval to be used in hyperopt
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self.hyperopt.__class__.ticker_interval = str(config['ticker_interval'])
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if not hasattr(self.hyperopt, 'populate_buy_trend'):
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logger.warning("Custom Hyperopt does not provide populate_buy_trend. "
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"Using populate_buy_trend from DefaultStrategy.")
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if not hasattr(self.hyperopt, 'populate_sell_trend'):
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logger.warning("Custom Hyperopt does not provide populate_sell_trend. "
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"Using populate_sell_trend from DefaultStrategy.")
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def _load_hyperopt(
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self, hyperopt_name: str, extra_dir: Optional[str] = None) -> IHyperOpt:
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"""
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Search and loads the specified hyperopt.
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:param hyperopt_name: name of the module to import
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:param extra_dir: additional directory to search for the given hyperopt
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:return: HyperOpt instance or None
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"""
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current_path = Path(__file__).parent.parent.joinpath('optimize').resolve()
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abs_paths = [
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current_path.parent.parent.joinpath('user_data/hyperopts'),
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current_path,
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]
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if extra_dir:
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# Add extra hyperopt directory on top of search paths
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abs_paths.insert(0, Path(extra_dir))
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for _path in abs_paths:
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try:
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hyperopt = self._search_object(directory=_path, object_type=IHyperOpt,
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object_name=hyperopt_name)
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if hyperopt:
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logger.info("Using resolved hyperopt %s from '%s'", hyperopt_name, _path)
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return hyperopt
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except FileNotFoundError:
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logger.warning('Path "%s" does not exist', _path.relative_to(Path.cwd()))
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raise ImportError(
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"Impossible to load Hyperopt '{}'. This class does not exist"
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" or contains Python code errors".format(hyperopt_name)
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)
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