180 lines
7.0 KiB
Python
180 lines
7.0 KiB
Python
"""
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This module contains the configuration class
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"""
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import json
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from typing import Dict, List, Any
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from jsonschema import Draft4Validator, validate
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from jsonschema.exceptions import ValidationError, best_match
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from freqtrade.constants import Constants
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from freqtrade.logger import Logger
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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: List[str]) -> None:
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self.args = args
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self.logging = Logger(name=__name__)
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self.logger = self.logging.get_logger()
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self.config = self._load_config()
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self.show_info()
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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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self.logger.info('Using config: %s ...', self.args.config)
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config = self._load_config_file(self.args.config)
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# Add the strategy file to use
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config.update({'strategy': self.args.strategy})
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# Add dynamic_whitelist if found
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if 'dynamic_whitelist' in self.args and self.args.dynamic_whitelist:
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config.update({'dynamic_whitelist': self.args.dynamic_whitelist})
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# Add dry_run_db if found and the bot in dry run
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if self.args.dry_run_db and config.get('dry_run', False):
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config.update({'dry_run_db': True})
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# Log level
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if 'loglevel' in self.args and self.args.loglevel:
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config.update({'loglevel': self.args.loglevel})
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self.logging.set_level(self.args.loglevel)
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# Load Backtesting
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config = self._load_backtesting_config(config)
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# Load Hyperopt
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config = self._load_hyperopt_config(config)
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return config
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def _load_config_file(self, path: str) -> Dict[str, Any]:
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"""
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Loads a config file from the given path
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:param path: path as str
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:return: configuration as dictionary
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"""
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with open(path) as file:
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conf = json.load(file)
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if 'internals' not in conf:
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conf['internals'] = {}
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self.logger.info('Validating configuration ...')
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return self._validate_config(conf)
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def _load_backtesting_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Extract information for sys.argv and load Backtesting configuration
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:return: configuration as dictionary
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"""
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# If -i/--ticker-interval is used we override the configuration parameter
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# (that will override the strategy configuration)
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if 'ticker_interval' in self.args and self.args.ticker_interval:
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config.update({'ticker_interval': self.args.ticker_interval})
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self.logger.info('Parameter -i/--ticker-interval detected ...')
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self.logger.info('Using ticker_interval: %d ...', config.get('ticker_interval'))
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# If -l/--live is used we add it to the configuration
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if 'live' in self.args and self.args.live:
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config.update({'live': True})
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self.logger.info('Parameter -l/--live detected ...')
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# If --realistic-simulation is used we add it to the configuration
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if 'realistic_simulation' in self.args and self.args.realistic_simulation:
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config.update({'realistic_simulation': True})
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self.logger.info('Parameter --realistic-simulation detected ...')
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self.logger.info('Using max_open_trades: %s ...', config.get('max_open_trades'))
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# If --timerange is used we add it to the configuration
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if 'timerange' in self.args and self.args.timerange:
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config.update({'timerange': self.args.timerange})
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self.logger.info('Parameter --timerange detected: %s ...', self.args.timerange)
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# If --datadir is used we add it to the configuration
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if 'datadir' in self.args and self.args.datadir:
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config.update({'datadir': self.args.datadir})
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self.logger.info('Parameter --datadir detected: %s ...', self.args.datadir)
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# If -r/--refresh-pairs-cached is used we add it to the configuration
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if 'refresh_pairs' in self.args and self.args.refresh_pairs:
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config.update({'refresh_pairs': True})
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self.logger.info('Parameter -r/--refresh-pairs-cached detected ...')
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# If --export is used we add it to the configuration
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if 'export' in self.args and self.args.export:
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config.update({'export': self.args.export})
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self.logger.info('Parameter --export detected: %s ...', self.args.export)
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return config
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def _load_hyperopt_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Extract information for sys.argv and load Hyperopt configuration
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:return: configuration as dictionary
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"""
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# If --realistic-simulation is used we add it to the configuration
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if 'epochs' in self.args and self.args.epochs:
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config.update({'epochs': self.args.epochs})
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self.logger.info('Parameter --epochs detected ...')
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self.logger.info('Will run Hyperopt with for %s epochs ...', config.get('epochs'))
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# If --mongodb is used we add it to the configuration
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if 'mongodb' in self.args and self.args.mongodb:
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config.update({'mongodb': self.args.mongodb})
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self.logger.info('Parameter --use-mongodb detected ...')
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return config
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def _validate_config(self, conf: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Validate the configuration follow the Config Schema
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:param conf: Config in JSON format
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:return: Returns the config if valid, otherwise throw an exception
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"""
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try:
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validate(conf, Constants.CONF_SCHEMA)
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return conf
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except ValidationError as exception:
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self.logger.fatal(
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'Invalid configuration. See config.json.example. Reason: %s',
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exception
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)
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raise ValidationError(
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best_match(Draft4Validator(Constants.CONF_SCHEMA).iter_errors(conf)).message
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)
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def show_info(self) -> None:
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"""
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Display info message to user depending of the configuration of the bot
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:return: None
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"""
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if self.config.get('dynamic_whitelist', False):
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self.logger.info(
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'Using dynamically generated whitelist. (--dynamic-whitelist detected)'
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)
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if self.config.get('dry_run_db', False):
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if self.config.get('dry_run', False):
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self.logger.info(
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'Dry_run will use the DB file: "tradesv3.dry_run.sqlite". '
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'(--dry_run_db detected)'
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)
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else:
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self.logger.info('Dry run is disabled. (--dry_run_db ignored)')
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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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return self.config
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