mirror of
https://github.com/freqtrade/freqtrade.git
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372 lines
15 KiB
Python
372 lines
15 KiB
Python
"""
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This module contains the configuration class
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"""
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import logging
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import warnings
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from argparse import Namespace
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from copy import deepcopy
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from pathlib import Path
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from typing import Any, Callable, Dict, List, Optional
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from freqtrade import OperationalException, constants
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from freqtrade.configuration.check_exchange import check_exchange
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from freqtrade.configuration.config_validation import (
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validate_config_consistency, validate_config_schema)
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from freqtrade.configuration.directory_operations import (create_datadir,
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create_userdata_dir)
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from freqtrade.configuration.load_config import load_config_file
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from freqtrade.loggers import setup_logging
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from freqtrade.misc import deep_merge_dicts, json_load
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from freqtrade.state import RunMode
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logger = logging.getLogger(__name__)
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class Configuration(object):
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"""
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Class to read and init the bot configuration
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Reuse this class for the bot, backtesting, hyperopt and every script that required configuration
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"""
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def __init__(self, args: Namespace, runmode: RunMode = None) -> None:
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self.args = args
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self.config: Optional[Dict[str, Any]] = None
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self.runmode = runmode
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def get_config(self) -> Dict[str, Any]:
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"""
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Return the config. Use this method to get the bot config
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:return: Dict: Bot config
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"""
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if self.config is None:
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self.config = self.load_config()
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return self.config
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@staticmethod
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def from_files(files: List[str]) -> Dict[str, Any]:
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"""
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Iterate through the config files passed in, loading all of them
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and merging their contents.
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Files are loaded in sequence, parameters in later configuration files
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override the same parameter from an earlier file (last definition wins).
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:param files: List of file paths
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:return: configuration dictionary
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"""
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# Keep this method as staticmethod, so it can be used from interactive environments
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config: Dict[str, Any] = {}
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if not files:
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return deepcopy(constants.MINIMAL_CONFIG)
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# We expect here a list of config filenames
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for path in files:
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logger.info(f'Using config: {path} ...')
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# Merge config options, overwriting old values
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config = deep_merge_dicts(load_config_file(path), config)
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# Normalize config
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if 'internals' not in config:
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config['internals'] = {}
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# validate configuration before returning
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logger.info('Validating configuration ...')
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validate_config_schema(config)
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return config
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def load_config(self) -> Dict[str, Any]:
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"""
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Extract information for sys.argv and load the bot configuration
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:return: Configuration dictionary
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"""
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# Load all configs
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config: Dict[str, Any] = Configuration.from_files(self.args.config)
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self._process_common_options(config)
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self._process_optimize_options(config)
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self._process_plot_options(config)
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self._process_runmode(config)
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# Check if the exchange set by the user is supported
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check_exchange(config, config.get('experimental', {}).get('block_bad_exchanges', True))
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self._resolve_pairs_list(config)
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validate_config_consistency(config)
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return config
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def _process_logging_options(self, config: Dict[str, Any]) -> None:
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"""
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Extract information for sys.argv and load logging configuration:
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the -v/--verbose, --logfile options
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"""
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# Log level
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if 'verbosity' in self.args and self.args.verbosity:
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config.update({'verbosity': self.args.verbosity})
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else:
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config.update({'verbosity': 0})
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if 'logfile' in self.args and self.args.logfile:
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config.update({'logfile': self.args.logfile})
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setup_logging(config)
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def _process_common_options(self, config: Dict[str, Any]) -> None:
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self._process_logging_options(config)
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# Set strategy if not specified in config and or if it's non default
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if self.args.strategy != constants.DEFAULT_STRATEGY or not config.get('strategy'):
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config.update({'strategy': self.args.strategy})
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self._args_to_config(config, argname='strategy_path',
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logstring='Using additional Strategy lookup path: {}')
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if ('db_url' in self.args and self.args.db_url and
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self.args.db_url != constants.DEFAULT_DB_PROD_URL):
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config.update({'db_url': self.args.db_url})
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logger.info('Parameter --db-url detected ...')
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if config.get('dry_run', False):
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logger.info('Dry run is enabled')
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if config.get('db_url') in [None, constants.DEFAULT_DB_PROD_URL]:
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# Default to in-memory db for dry_run if not specified
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config['db_url'] = constants.DEFAULT_DB_DRYRUN_URL
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else:
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if not config.get('db_url', None):
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config['db_url'] = constants.DEFAULT_DB_PROD_URL
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logger.info('Dry run is disabled')
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logger.info(f'Using DB: "{config["db_url"]}"')
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if config.get('forcebuy_enable', False):
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logger.warning('`forcebuy` RPC message enabled.')
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# Setting max_open_trades to infinite if -1
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if config.get('max_open_trades') == -1:
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config['max_open_trades'] = float('inf')
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# Support for sd_notify
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if 'sd_notify' in self.args and self.args.sd_notify:
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config['internals'].update({'sd_notify': True})
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def _process_datadir_options(self, config: Dict[str, Any]) -> None:
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"""
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Extract information for sys.argv and load directory configurations
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--user-data, --datadir
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"""
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# Check exchange parameter here - otherwise `datadir` might be wrong.
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if "exchange" in self.args and self.args.exchange:
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config['exchange']['name'] = self.args.exchange
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logger.info(f"Using exchange {config['exchange']['name']}")
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if 'user_data_dir' in self.args and self.args.user_data_dir:
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config.update({'user_data_dir': self.args.user_data_dir})
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elif 'user_data_dir' not in config:
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# Default to cwd/user_data (legacy option ...)
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config.update({'user_data_dir': str(Path.cwd() / "user_data")})
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# reset to user_data_dir so this contains the absolute path.
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config['user_data_dir'] = create_userdata_dir(config['user_data_dir'], create_dir=False)
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logger.info('Using user-data directory: %s ...', config['user_data_dir'])
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if 'datadir' in self.args and self.args.datadir:
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config.update({'datadir': create_datadir(config, self.args.datadir)})
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else:
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config.update({'datadir': create_datadir(config, None)})
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logger.info('Using data directory: %s ...', config.get('datadir'))
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def _process_optimize_options(self, config: Dict[str, Any]) -> None:
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# This will override the strategy configuration
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self._args_to_config(config, argname='ticker_interval',
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logstring='Parameter -i/--ticker-interval detected ... '
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'Using ticker_interval: {} ...')
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self._args_to_config(config, argname='position_stacking',
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logstring='Parameter --enable-position-stacking detected ...')
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if 'use_max_market_positions' in self.args and not self.args.use_max_market_positions:
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config.update({'use_max_market_positions': False})
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logger.info('Parameter --disable-max-market-positions detected ...')
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logger.info('max_open_trades set to unlimited ...')
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elif 'max_open_trades' in self.args and self.args.max_open_trades:
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config.update({'max_open_trades': self.args.max_open_trades})
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logger.info('Parameter --max_open_trades detected, '
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'overriding max_open_trades to: %s ...', config.get('max_open_trades'))
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else:
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logger.info('Using max_open_trades: %s ...', config.get('max_open_trades'))
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self._args_to_config(config, argname='stake_amount',
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logstring='Parameter --stake_amount detected, '
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'overriding stake_amount to: {} ...')
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self._args_to_config(config, argname='timerange',
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logstring='Parameter --timerange detected: {} ...')
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self._process_datadir_options(config)
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self._args_to_config(config, argname='refresh_pairs',
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logstring='Parameter -r/--refresh-pairs-cached detected ...',
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deprecated_msg='-r/--refresh-pairs-cached will be removed soon.')
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self._args_to_config(config, argname='strategy_list',
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logstring='Using strategy list of {} Strategies', logfun=len)
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self._args_to_config(config, argname='ticker_interval',
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logstring='Overriding ticker interval with Command line argument')
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self._args_to_config(config, argname='export',
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logstring='Parameter --export detected: {} ...')
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self._args_to_config(config, argname='exportfilename',
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logstring='Storing backtest results to {} ...')
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# Edge section:
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if 'stoploss_range' in self.args and self.args.stoploss_range:
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txt_range = eval(self.args.stoploss_range)
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config['edge'].update({'stoploss_range_min': txt_range[0]})
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config['edge'].update({'stoploss_range_max': txt_range[1]})
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config['edge'].update({'stoploss_range_step': txt_range[2]})
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logger.info('Parameter --stoplosses detected: %s ...', self.args.stoploss_range)
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# Hyperopt section
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self._args_to_config(config, argname='hyperopt',
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logstring='Using Hyperopt file {}')
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self._args_to_config(config, argname='hyperopt_path',
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logstring='Using additional Hyperopt lookup path: {}')
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self._args_to_config(config, argname='epochs',
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logstring='Parameter --epochs detected ... '
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'Will run Hyperopt with for {} epochs ...'
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)
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self._args_to_config(config, argname='spaces',
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logstring='Parameter -s/--spaces detected: {}')
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self._args_to_config(config, argname='print_all',
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logstring='Parameter --print-all detected ...')
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if 'print_colorized' in self.args and not self.args.print_colorized:
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logger.info('Parameter --no-color detected ...')
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config.update({'print_colorized': False})
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else:
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config.update({'print_colorized': True})
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self._args_to_config(config, argname='print_json',
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logstring='Parameter --print-json detected ...')
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self._args_to_config(config, argname='hyperopt_jobs',
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logstring='Parameter -j/--job-workers detected: {}')
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self._args_to_config(config, argname='hyperopt_random_state',
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logstring='Parameter --random-state detected: {}')
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self._args_to_config(config, argname='hyperopt_min_trades',
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logstring='Parameter --min-trades detected: {}')
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self._args_to_config(config, argname='hyperopt_continue',
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logstring='Hyperopt continue: {}')
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self._args_to_config(config, argname='hyperopt_loss',
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logstring='Using loss function: {}')
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def _process_plot_options(self, config: Dict[str, Any]) -> None:
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self._args_to_config(config, argname='pairs',
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logstring='Using pairs {}')
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self._args_to_config(config, argname='indicators1',
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logstring='Using indicators1: {}')
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self._args_to_config(config, argname='indicators2',
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logstring='Using indicators2: {}')
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self._args_to_config(config, argname='plot_limit',
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logstring='Limiting plot to: {}')
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self._args_to_config(config, argname='trade_source',
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logstring='Using trades from: {}')
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self._args_to_config(config, argname='erase',
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logstring='Erase detected. Deleting existing data.')
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self._args_to_config(config, argname='timeframes',
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logstring='timeframes --timeframes: {}')
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self._args_to_config(config, argname='days',
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logstring='Detected --days: {}')
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def _process_runmode(self, config: Dict[str, Any]) -> None:
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if not self.runmode:
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# Handle real mode, infer dry/live from config
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self.runmode = RunMode.DRY_RUN if config.get('dry_run', True) else RunMode.LIVE
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logger.info(f"Runmode set to {self.runmode}.")
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config.update({'runmode': self.runmode})
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def _args_to_config(self, config: Dict[str, Any], argname: str,
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logstring: str, logfun: Optional[Callable] = None,
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deprecated_msg: Optional[str] = None) -> None:
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"""
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:param config: Configuration dictionary
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:param argname: Argumentname in self.args - will be copied to config dict.
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:param logstring: Logging String
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:param logfun: logfun is applied to the configuration entry before passing
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that entry to the log string using .format().
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sample: logfun=len (prints the length of the found
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configuration instead of the content)
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"""
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if argname in self.args and getattr(self.args, argname):
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config.update({argname: getattr(self.args, argname)})
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if logfun:
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logger.info(logstring.format(logfun(config[argname])))
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else:
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logger.info(logstring.format(config[argname]))
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if deprecated_msg:
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warnings.warn(f"DEPRECATED: {deprecated_msg}", DeprecationWarning)
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def _resolve_pairs_list(self, config: Dict[str, Any]) -> None:
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"""
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Helper for download script.
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Takes first found:
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* -p (pairs argument)
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* --pairs-file
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* whitelist from config
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"""
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if "pairs" in config:
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return
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if "pairs_file" in self.args and self.args.pairs_file:
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pairs_file = Path(self.args.pairs_file)
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logger.info(f'Reading pairs file "{pairs_file}".')
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# Download pairs from the pairs file if no config is specified
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# or if pairs file is specified explicitely
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if not pairs_file.exists():
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raise OperationalException(f'No pairs file found with path "{pairs_file}".')
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with pairs_file.open('r') as f:
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config['pairs'] = json_load(f)
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config['pairs'].sort()
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return
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if "config" in self.args and self.args.config:
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logger.info("Using pairlist from configuration.")
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config['pairs'] = config.get('exchange', {}).get('pair_whitelist')
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else:
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# Fall back to /dl_path/pairs.json
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pairs_file = Path(config['datadir']) / "pairs.json"
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if pairs_file.exists():
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with pairs_file.open('r') as f:
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config['pairs'] = json_load(f)
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if 'pairs' in config:
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config['pairs'].sort()
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