freqtrade_origin/freqtrade/configuration/configuration.py

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"""
This module contains the configuration class
"""
import json
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import logging
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import sys
import warnings
from argparse import Namespace
from pathlib import Path
from typing import Any, Callable, Dict, Optional
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from freqtrade import OperationalException, constants
from freqtrade.configuration.check_exchange import check_exchange
from freqtrade.configuration.folder_operations import create_datadir, create_userdata_dir
from freqtrade.configuration.json_schema import validate_config_schema
from freqtrade.loggers import setup_logging
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from freqtrade.misc import deep_merge_dicts
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from freqtrade.state import RunMode
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logger = logging.getLogger(__name__)
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class Configuration(object):
"""
Class to read and init the bot configuration
Reuse this class for the bot, backtesting, hyperopt and every script that required configuration
"""
def __init__(self, args: Namespace, runmode: RunMode = None) -> None:
self.args = args
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self.config: Optional[Dict[str, Any]] = None
self.runmode = runmode
def get_config(self) -> Dict[str, Any]:
"""
Return the config. Use this method to get the bot config
:return: Dict: Bot config
"""
if self.config is None:
self.config = self.load_config()
return self.config
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def _load_config_files(self) -> Dict[str, Any]:
"""
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Iterate through the config files passed in the args,
loading all of them and merging their contents.
"""
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config: Dict[str, Any] = {}
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# We expect here a list of config filenames
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for path in self.args.config:
logger.info('Using config: %s ...', path)
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# Merge config options, overwriting old values
config = deep_merge_dicts(self._load_config_file(path), config)
return config
def _load_config_file(self, path: str) -> Dict[str, Any]:
"""
Loads a config file from the given path
:param path: path as str
:return: configuration as dictionary
"""
try:
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# Read config from stdin if requested in the options
with open(path) if path != '-' else sys.stdin as file:
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config = json.load(file)
except FileNotFoundError:
raise OperationalException(
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f'Config file "{path}" not found!'
' Please create a config file or check whether it exists.')
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return config
def _normalize_config(self, config: Dict[str, Any]) -> None:
"""
Make config more canonical -- i.e. for example add missing parts that we expect
to be normally in it...
"""
if 'internals' not in config:
config['internals'] = {}
def load_config(self) -> Dict[str, Any]:
"""
Extract information for sys.argv and load the bot configuration
:return: Configuration dictionary
"""
# Load all configs
config: Dict[str, Any] = self._load_config_files()
# Make resulting config more canonical
self._normalize_config(config)
logger.info('Validating configuration ...')
validate_config_schema(config)
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self._validate_config_consistency(config)
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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return config
def _process_logging_options(self, config: Dict[str, Any]) -> None:
"""
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Extract information for sys.argv and load logging configuration:
the -v/--verbose, --logfile options
"""
# Log level
if 'verbosity' in self.args and self.args.verbosity:
config.update({'verbosity': self.args.verbosity})
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else:
config.update({'verbosity': 0})
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if 'logfile' in self.args and self.args.logfile:
config.update({'logfile': self.args.logfile})
setup_logging(config)
def _process_strategy_options(self, config: Dict[str, Any]) -> None:
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# Set strategy if not specified in config and or if it's non default
if self.args.strategy != constants.DEFAULT_STRATEGY or not config.get('strategy'):
config.update({'strategy': self.args.strategy})
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self._args_to_config(config, argname='strategy_path',
logstring='Using additional Strategy lookup path: {}')
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def _process_common_options(self, config: Dict[str, Any]) -> None:
self._process_logging_options(config)
self._process_strategy_options(config)
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if ('db_url' in self.args and self.args.db_url and
self.args.db_url != constants.DEFAULT_DB_PROD_URL):
config.update({'db_url': self.args.db_url})
logger.info('Parameter --db-url detected ...')
if config.get('dry_run', False):
logger.info('Dry run is enabled')
if config.get('db_url') in [None, constants.DEFAULT_DB_PROD_URL]:
# Default to in-memory db for dry_run if not specified
config['db_url'] = constants.DEFAULT_DB_DRYRUN_URL
else:
if not config.get('db_url', None):
config['db_url'] = constants.DEFAULT_DB_PROD_URL
logger.info('Dry run is disabled')
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logger.info(f'Using DB: "{config["db_url"]}"')
if config.get('forcebuy_enable', False):
logger.warning('`forcebuy` RPC message enabled.')
# Setting max_open_trades to infinite if -1
if config.get('max_open_trades') == -1:
config['max_open_trades'] = float('inf')
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# Support for sd_notify
if 'sd_notify' in self.args and self.args.sd_notify:
config['internals'].update({'sd_notify': True})
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# Check if the exchange set by the user is supported
check_exchange(config)
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def _process_datadir_options(self, config: Dict[str, Any]) -> None:
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"""
Extract information for sys.argv and load datadir configuration:
the --datadir option
"""
if 'user_data_dir' in self.args and self.args.user_data_dir:
config.update({'user_data_dir': self.args.user_data_dir})
create_userdata_dir(config['user_data_dir'])
elif 'user_data_dir' not in config:
config.update({'user_data_dir': str(Path.cwd() / "user_data")})
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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:
# This will override the strategy configuration
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self._args_to_config(config, argname='ticker_interval',
logstring='Parameter -i/--ticker-interval detected ... '
'Using ticker_interval: {} ...')
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self._args_to_config(config, argname='live',
logstring='Parameter -l/--live detected ...',
deprecated_msg='--live will be removed soon.')
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self._args_to_config(config, argname='position_stacking',
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:
config.update({'use_max_market_positions': False})
logger.info('Parameter --disable-max-market-positions detected ...')
logger.info('max_open_trades set to unlimited ...')
elif 'max_open_trades' in self.args and self.args.max_open_trades:
config.update({'max_open_trades': self.args.max_open_trades})
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logger.info('Parameter --max_open_trades detected, '
'overriding max_open_trades to: %s ...', config.get('max_open_trades'))
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else:
logger.info('Using max_open_trades: %s ...', config.get('max_open_trades'))
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self._args_to_config(config, argname='stake_amount',
logstring='Parameter --stake_amount detected, '
'overriding stake_amount to: {} ...')
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self._args_to_config(config, argname='timerange',
logstring='Parameter --timerange detected: {} ...')
self._process_datadir_options(config)
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self._args_to_config(config, argname='refresh_pairs',
logstring='Parameter -r/--refresh-pairs-cached detected ...')
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self._args_to_config(config, argname='strategy_list',
logstring='Using strategy list of {} Strategies', logfun=len)
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self._args_to_config(config, argname='ticker_interval',
logstring='Overriding ticker interval with Command line argument')
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self._args_to_config(config, argname='export',
logstring='Parameter --export detected: {} ...')
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self._args_to_config(config, argname='exportfilename',
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:
txt_range = eval(self.args.stoploss_range)
config['edge'].update({'stoploss_range_min': txt_range[0]})
config['edge'].update({'stoploss_range_max': txt_range[1]})
config['edge'].update({'stoploss_range_step': txt_range[2]})
logger.info('Parameter --stoplosses detected: %s ...', self.args.stoploss_range)
# 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',
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 ... '
'Will run Hyperopt with for {} epochs ...'
)
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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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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',
logstring='Parameter --random-state detected: {}')
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self._args_to_config(config, argname='hyperopt_min_trades',
logstring='Parameter --min-trades detected: {}')
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self._args_to_config(config, argname='hyperopt_continue',
logstring='Hyperopt continue: {}')
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self._args_to_config(config, argname='hyperopt_loss',
logstring='Using loss function: {}')
def _process_plot_options(self, config: Dict[str, Any]) -> None:
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self._args_to_config(config, argname='pairs',
logstring='Using pairs {}')
self._args_to_config(config, argname='indicators1',
logstring='Using indicators1: {}')
self._args_to_config(config, argname='indicators2',
logstring='Using indicators2: {}')
self._args_to_config(config, argname='plot_limit',
logstring='Limiting plot to: {}')
self._args_to_config(config, argname='trade_source',
logstring='Using trades from: {}')
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def _process_runmode(self, config: Dict[str, Any]) -> None:
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if not self.runmode:
# Handle real mode, infer dry/live from config
self.runmode = RunMode.DRY_RUN if config.get('dry_run', True) else RunMode.LIVE
logger.info("Runmode set to {self.runmode}.")
config.update({'runmode': self.runmode})
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def _validate_config_consistency(self, conf: Dict[str, Any]) -> None:
"""
Validate the configuration consistency
:param conf: Config in JSON format
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:return: Returns None if everything is ok, otherwise throw an OperationalException
"""
# validating trailing stoploss
self._validate_trailing_stoploss(conf)
def _validate_trailing_stoploss(self, conf: Dict[str, Any]) -> None:
# Skip if trailing stoploss is not activated
if not conf.get('trailing_stop', False):
return
tsl_positive = float(conf.get('trailing_stop_positive', 0))
tsl_offset = float(conf.get('trailing_stop_positive_offset', 0))
tsl_only_offset = conf.get('trailing_only_offset_is_reached', False)
if tsl_only_offset:
if tsl_positive == 0.0:
raise OperationalException(
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f'The config trailing_only_offset_is_reached needs '
'trailing_stop_positive_offset to be more than 0 in your config.')
if tsl_positive > 0 and 0 < tsl_offset <= tsl_positive:
raise OperationalException(
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f'The config trailing_stop_positive_offset needs '
'to be greater than trailing_stop_positive_offset in your config.')
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def _args_to_config(self, config: Dict[str, Any], argname: str,
logstring: str, logfun: Optional[Callable] = None,
deprecated_msg: Optional[str] = None) -> None:
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"""
:param config: Configuration dictionary
:param argname: Argumentname in self.args - will be copied to config dict.
:param logstring: Logging String
:param logfun: logfun is applied to the configuration entry before passing
that entry to the log string using .format().
sample: logfun=len (prints the length of the found
configuration instead of the content)
"""
if argname in self.args and getattr(self.args, argname):
config.update({argname: getattr(self.args, argname)})
if logfun:
logger.info(logstring.format(logfun(config[argname])))
else:
logger.info(logstring.format(config[argname]))
if deprecated_msg:
warnings.warn(f"DEPRECATED: {deprecated_msg}", DeprecationWarning)