# pragma pylint: disable=attribute-defined-outside-init """ This module load custom strategies """ import importlib.util import inspect import logging import os from collections import OrderedDict from typing import Optional, Dict, Type from freqtrade import constants from freqtrade.strategy.interface import IStrategy logger = logging.getLogger(__name__) class StrategyResolver(object): """ This class contains all the logic to load custom strategy class """ __slots__ = ['strategy'] def __init__(self, config: Optional[Dict] = None) -> None: """ Load the custom class from config parameter :param config: configuration dictionary or None """ config = config or {} # Verify the strategy is in the configuration, otherwise fallback to the default strategy strategy_name = config.get('strategy') or constants.DEFAULT_STRATEGY self.strategy = self._load_strategy(strategy_name, extra_dir=config.get('strategy_path')) # Set attributes # Check if we need to override configuration if 'minimal_roi' in config: self.strategy.minimal_roi = config['minimal_roi'] logger.info("Override strategy \'minimal_roi\' with value in config file.") if 'stoploss' in config: self.strategy.stoploss = config['stoploss'] logger.info( "Override strategy \'stoploss\' with value in config file: %s.", config['stoploss'] ) if 'ticker_interval' in config: self.strategy.ticker_interval = config['ticker_interval'] logger.info( "Override strategy \'ticker_interval\' with value in config file: %s.", config['ticker_interval'] ) # Sort and apply type conversions self.strategy.minimal_roi = OrderedDict(sorted( {int(key): value for (key, value) in self.strategy.minimal_roi.items()}.items(), key=lambda t: t[0])) self.strategy.stoploss = float(self.strategy.stoploss) def _load_strategy( self, strategy_name: str, extra_dir: Optional[str] = None) -> Optional[IStrategy]: """ Search and loads the specified strategy. :param strategy_name: name of the module to import :param extra_dir: additional directory to search for the given strategy :return: Strategy instance or None """ current_path = os.path.dirname(os.path.realpath(__file__)) abs_paths = [ os.path.join(current_path, '..', '..', 'user_data', 'strategies'), current_path, ] if extra_dir: # Add extra strategy directory on top of search paths abs_paths.insert(0, extra_dir) for path in abs_paths: strategy = self._search_strategy(path, strategy_name) if strategy: logger.info('Using resolved strategy %s from \'%s\'', strategy_name, path) return strategy raise ImportError( "Impossible to load Strategy '{}'. This class does not exist" " or contains Python code errors".format(strategy_name) ) @staticmethod def _get_valid_strategies(module_path: str, strategy_name: str) -> Optional[Type[IStrategy]]: """ Returns a list of all possible strategies for the given module_path :param module_path: absolute path to the module :param strategy_name: Class name of the strategy :return: Tuple with (name, class) or None """ # Generate spec based on absolute path spec = importlib.util.spec_from_file_location('user_data.strategies', module_path) module = importlib.util.module_from_spec(spec) spec.loader.exec_module(module) valid_strategies_gen = ( obj for name, obj in inspect.getmembers(module, inspect.isclass) if strategy_name == name and IStrategy in obj.__bases__ ) return next(valid_strategies_gen, None) @staticmethod def _search_strategy(directory: str, strategy_name: str) -> Optional[IStrategy]: """ Search for the strategy_name in the given directory :param directory: relative or absolute directory path :return: name of the strategy class """ logger.debug('Searching for strategy %s in \'%s\'', strategy_name, directory) for entry in os.listdir(directory): # Only consider python files if not entry.endswith('.py'): logger.debug('Ignoring %s', entry) continue strategy = StrategyResolver._get_valid_strategies( os.path.abspath(os.path.join(directory, entry)), strategy_name ) if strategy: return strategy() return None