stable/freqtrade/configuration/configuration.py

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"""
This module contains the configuration class
"""
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import logging
import warnings
from copy import deepcopy
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional
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from freqtrade import constants
from freqtrade.configuration.check_exchange import check_exchange
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from freqtrade.configuration.deprecated_settings import process_temporary_deprecated_settings
from freqtrade.configuration.directory_operations import (create_datadir,
create_userdata_dir)
from freqtrade.configuration.load_config import load_config_file
from freqtrade.exceptions import OperationalException
from freqtrade.loggers import setup_logging
from freqtrade.misc import deep_merge_dicts, json_load
from freqtrade.state import NON_UTIL_MODES, TRADING_MODES, RunMode
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logger = logging.getLogger(__name__)
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class Configuration:
"""
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: Dict[str, Any], 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
@staticmethod
def from_files(files: List[str]) -> Dict[str, Any]:
"""
Iterate through the config files passed in, loading all of them
and merging their contents.
Files are loaded in sequence, parameters in later configuration files
override the same parameter from an earlier file (last definition wins).
Runs through the whole Configuration initialization, so all expected config entries
are available to interactive environments.
:param files: List of file paths
:return: configuration dictionary
"""
c = Configuration({"config": files}, RunMode.OTHER)
return c.get_config()
def load_from_files(self, files: List[str]) -> Dict[str, Any]:
# 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:
return deepcopy(constants.MINIMAL_CONFIG)
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# We expect here a list of config filenames
for path in files:
logger.info(f'Using config: {path} ...')
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# Merge config options, overwriting old values
config = deep_merge_dicts(load_config_file(path), config)
# Normalize config
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if 'internals' not in config:
config['internals'] = {}
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# TODO: This can be deleted along with removal of deprecated
# experimental settings
if 'ask_strategy' not in config:
config['ask_strategy'] = {}
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if 'pairlists' not in config:
config['pairlists'] = []
return config
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def load_config(self) -> Dict[str, Any]:
"""
Extract information for sys.argv and load the bot configuration
:return: Configuration dictionary
"""
# Load all configs
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config: Dict[str, Any] = self.load_from_files(self.args.get("config", []))
# Keep a copy of the original configuration file
config['original_config'] = deepcopy(config)
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self._process_logging_options(config)
self._process_runmode(config)
self._process_common_options(config)
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self._process_trading_options(config)
self._process_optimize_options(config)
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self._process_plot_options(config)
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# Check if the exchange set by the user is supported
check_exchange(config, config.get('experimental', {}).get('block_bad_exchanges', True))
self._resolve_pairs_list(config)
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process_temporary_deprecated_settings(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
config.update({'verbosity': self.args.get("verbosity", 0)})
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if 'logfile' in self.args and self.args["logfile"]:
config.update({'logfile': self.args["logfile"]})
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setup_logging(config)
def _process_trading_options(self, config: Dict[str, Any]) -> None:
if config['runmode'] not in TRADING_MODES:
return
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')
logger.info(f'Using DB: "{config["db_url"]}"')
def _process_common_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
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if self.args.get("strategy") or not config.get('strategy'):
config.update({'strategy': self.args.get("strategy")})
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self._args_to_config(config, argname='strategy_path',
logstring='Using additional Strategy lookup path: {}')
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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('forcebuy_enable', False):
logger.warning('`forcebuy` RPC message enabled.')
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# Support for sd_notify
if 'sd_notify' in self.args and self.args["sd_notify"]:
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config['internals'].update({'sd_notify': True})
def _process_datadir_options(self, config: Dict[str, Any]) -> None:
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"""
Extract information for sys.argv and load directory configurations
--user-data, --datadir
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"""
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# Check exchange parameter here - otherwise `datadir` might be wrong.
if "exchange" in self.args and self.args["exchange"]:
config['exchange']['name'] = self.args["exchange"]
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logger.info(f"Using exchange {config['exchange']['name']}")
if 'pair_whitelist' not in config['exchange']:
config['exchange']['pair_whitelist'] = []
if 'user_data_dir' in self.args and self.args["user_data_dir"]:
config.update({'user_data_dir': self.args["user_data_dir"]})
elif 'user_data_dir' not in config:
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# Default to cwd/user_data (legacy option ...)
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.
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'])
config.update({'datadir': create_datadir(config, self.args.get("datadir", None))})
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logger.info('Using data directory: %s ...', config.get('datadir'))
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if self.args.get('exportfilename'):
self._args_to_config(config, argname='exportfilename',
logstring='Storing backtest results to {} ...')
config['exportfilename'] = Path(config['exportfilename'])
else:
config['exportfilename'] = (config['user_data_dir']
/ 'backtest_results')
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='timeframe',
logstring='Parameter -i/--timeframe detected ... '
'Using timeframe: {} ...')
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self._args_to_config(config, argname='position_stacking',
logstring='Parameter --enable-position-stacking detected ...')
# Setting max_open_trades to infinite if -1
if config.get('max_open_trades') == -1:
config['max_open_trades'] = float('inf')
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})
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, '
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'overriding max_open_trades to: %s ...', config.get('max_open_trades'))
elif config['runmode'] in NON_UTIL_MODES:
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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, '
'overriding stake_amount to: {} ...')
self._args_to_config(config, argname='fee',
logstring='Parameter --fee detected, '
'setting fee 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='strategy_list',
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logstring='Using strategy list of {} strategies', logfun=len)
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self._args_to_config(config, argname='timeframe',
logstring='Overriding timeframe with Command line argument')
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self._args_to_config(config, argname='export',
logstring='Parameter --export detected: {} ...')
# Edge section:
if 'stoploss_range' in self.args and self.args["stoploss_range"]:
txt_range = eval(self.args["stoploss_range"])
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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"])
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# Hyperopt section
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self._args_to_config(config, argname='hyperopt',
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logstring='Using Hyperopt class name: {}')
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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 ...')
if 'print_colorized' in self.args and not self.args["print_colorized"]:
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logger.info('Parameter --no-color detected ...')
config.update({'print_colorized': False})
else:
config.update({'print_colorized': True})
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self._args_to_config(config, argname='print_json',
logstring='Parameter --print-json detected ...')
self._args_to_config(config, argname='export_csv',
logstring='Parameter --export-csv 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',
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logstring='Using Hyperopt loss class name: {}')
self._args_to_config(config, argname='hyperopt_show_index',
logstring='Parameter -n/--index detected: {}')
self._args_to_config(config, argname='hyperopt_list_best',
logstring='Parameter --best detected: {}')
self._args_to_config(config, argname='hyperopt_list_profitable',
logstring='Parameter --profitable detected: {}')
self._args_to_config(config, argname='hyperopt_list_min_trades',
logstring='Parameter --min-trades detected: {}')
self._args_to_config(config, argname='hyperopt_list_max_trades',
logstring='Parameter --max-trades detected: {}')
self._args_to_config(config, argname='hyperopt_list_min_avg_time',
logstring='Parameter --min-avg-time detected: {}')
self._args_to_config(config, argname='hyperopt_list_max_avg_time',
logstring='Parameter --max-avg-time detected: {}')
self._args_to_config(config, argname='hyperopt_list_min_avg_profit',
logstring='Parameter --min-avg-profit detected: {}')
self._args_to_config(config, argname='hyperopt_list_max_avg_profit',
logstring='Parameter --max-avg-profit detected: {}')
self._args_to_config(config, argname='hyperopt_list_min_total_profit',
logstring='Parameter --min-total-profit detected: {}')
self._args_to_config(config, argname='hyperopt_list_max_total_profit',
logstring='Parameter --max-total-profit detected: {}')
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self._args_to_config(config, argname='hyperopt_list_min_objective',
logstring='Parameter --min-objective detected: {}')
self._args_to_config(config, argname='hyperopt_list_max_objective',
logstring='Parameter --max-objective detected: {}')
self._args_to_config(config, argname='hyperopt_list_no_details',
logstring='Parameter --no-details detected: {}')
self._args_to_config(config, argname='hyperopt_show_no_header',
logstring='Parameter --no-header detected: {}')
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: {}')
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self._args_to_config(config, argname='trade_ids',
logstring='Filtering on trade_ids: {}')
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self._args_to_config(config, argname='plot_limit',
logstring='Limiting plot to: {}')
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self._args_to_config(config, argname='trade_source',
logstring='Using trades from: {}')
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self._args_to_config(config, argname='erase',
logstring='Erase detected. Deleting existing data.')
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self._args_to_config(config, argname='no_trades',
logstring='Parameter --no-trades detected.')
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self._args_to_config(config, argname='timeframes',
logstring='timeframes --timeframes: {}')
self._args_to_config(config, argname='days',
logstring='Detected --days: {}')
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self._args_to_config(config, argname='download_trades',
logstring='Detected --dl-trades: {}')
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self._args_to_config(config, argname='dataformat_ohlcv',
logstring='Using "{}" to store OHLCV data.')
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self._args_to_config(config, argname='dataformat_trades',
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logstring='Using "{}" to store trades data.')
def _process_runmode(self, config: Dict[str, Any]) -> None:
self._args_to_config(config, argname='dry_run',
logstring='Parameter --dry-run detected, '
'overriding dry_run to: {} ...')
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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
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logger.info(f"Runmode set to {self.runmode.value}.")
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config.update({'runmode': self.runmode})
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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 self.args[argname] is not None
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and self.args[argname] is not False):
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config.update({argname: self.args[argname]})
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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)
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def _resolve_pairs_list(self, config: Dict[str, Any]) -> None:
"""
Helper for download script.
Takes first found:
* -p (pairs argument)
* --pairs-file
* whitelist from config
"""
if "pairs" in config:
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return
if "pairs_file" in self.args and self.args["pairs_file"]:
pairs_file = Path(self.args["pairs_file"])
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logger.info(f'Reading pairs file "{pairs_file}".')
# Download pairs from the pairs file if no config is specified
# or if pairs file is specified explicitely
if not pairs_file.exists():
raise OperationalException(f'No pairs file found with path "{pairs_file}".')
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with pairs_file.open('r') as f:
config['pairs'] = json_load(f)
config['pairs'].sort()
return
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if "config" in self.args and self.args["config"]:
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logger.info("Using pairlist from configuration.")
config['pairs'] = config.get('exchange', {}).get('pair_whitelist')
else:
# Fall back to /dl_path/pairs.json
pairs_file = config['datadir'] / "pairs.json"
if pairs_file.exists():
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with pairs_file.open('r') as f:
config['pairs'] = json_load(f)
if 'pairs' in config:
config['pairs'].sort()