make configuration a sep. module, including arguments

This commit is contained in:
hroff-1902
2019-07-11 21:23:23 +03:00
parent 7763b4cf5b
commit 1bdffcc73b
24 changed files with 164 additions and 143 deletions

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from freqtrade.configuration.arguments import Arguments, TimeRange # noqa: F401
from freqtrade.configuration.arguments import ( # noqa: F401
ARGS_DOWNLOADER,
ARGS_PLOT_DATAFRAME,
ARGS_PLOT_PROFIT)
from freqtrade.configuration.configuration import Configuration # noqa: F401

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"""
This module contains the argument manager class
"""
import argparse
import os
import re
from typing import List, NamedTuple, Optional
import arrow
from freqtrade import __version__, constants
def check_int_positive(value: str) -> int:
try:
uint = int(value)
if uint <= 0:
raise ValueError
except ValueError:
raise argparse.ArgumentTypeError(
f"{value} is invalid for this parameter, should be a positive integer value"
)
return uint
class Arg:
# Optional CLI arguments
def __init__(self, *args, **kwargs):
self.cli = args
self.kwargs = kwargs
# List of available command line options
AVAILABLE_CLI_OPTIONS = {
# Common options
"verbosity": Arg(
'-v', '--verbose',
help='Verbose mode (-vv for more, -vvv to get all messages).',
action='count',
default=0,
),
"logfile": Arg(
'--logfile',
help='Log to the file specified.',
metavar='FILE',
),
"version": Arg(
'--version',
action='version',
version=f'%(prog)s {__version__}',
),
"config": Arg(
'-c', '--config',
help=f'Specify configuration file (default: `{constants.DEFAULT_CONFIG}`). '
f'Multiple --config options may be used. '
f'Can be set to `-` to read config from stdin.',
action='append',
metavar='PATH',
),
"datadir": Arg(
'-d', '--datadir',
help='Path to backtest data.',
metavar='PATH',
),
# Main options
"strategy": Arg(
'-s', '--strategy',
help='Specify strategy class name (default: `%(default)s`).',
metavar='NAME',
default='DefaultStrategy',
),
"strategy_path": Arg(
'--strategy-path',
help='Specify additional strategy lookup path.',
metavar='PATH',
),
"dynamic_whitelist": Arg(
'--dynamic-whitelist',
help='Dynamically generate and update whitelist '
'based on 24h BaseVolume (default: %(const)s). '
'DEPRECATED.',
const=constants.DYNAMIC_WHITELIST,
type=int,
metavar='INT',
nargs='?',
),
"db_url": Arg(
'--db-url',
help=f'Override trades database URL, this is useful in custom deployments '
f'(default: `{constants.DEFAULT_DB_PROD_URL}` for Live Run mode, '
f'`{constants.DEFAULT_DB_DRYRUN_URL}` for Dry Run).',
metavar='PATH',
),
"sd_notify": Arg(
'--sd-notify',
help='Notify systemd service manager.',
action='store_true',
),
# Optimize common
"ticker_interval": Arg(
'-i', '--ticker-interval',
help='Specify ticker interval (`1m`, `5m`, `30m`, `1h`, `1d`).',
),
"timerange": Arg(
'--timerange',
help='Specify what timerange of data to use.',
),
"max_open_trades": Arg(
'--max_open_trades',
help='Specify max_open_trades to use.',
type=int,
metavar='INT',
),
"stake_amount": Arg(
'--stake_amount',
help='Specify stake_amount.',
type=float,
),
"refresh_pairs": Arg(
'-r', '--refresh-pairs-cached',
help='Refresh the pairs files in tests/testdata with the latest data from the '
'exchange. Use it if you want to run your optimization commands with '
'up-to-date data.',
action='store_true',
),
# Backtesting
"position_stacking": Arg(
'--eps', '--enable-position-stacking',
help='Allow buying the same pair multiple times (position stacking).',
action='store_true',
default=False,
),
"use_max_market_positions": Arg(
'--dmmp', '--disable-max-market-positions',
help='Disable applying `max_open_trades` during backtest '
'(same as setting `max_open_trades` to a very high number).',
action='store_false',
default=True,
),
"live": Arg(
'-l', '--live',
help='Use live data.',
action='store_true',
),
"strategy_list": Arg(
'--strategy-list',
help='Provide a comma-separated list of strategies to backtest. '
'Please note that ticker-interval needs to be set either in config '
'or via command line. When using this together with `--export trades`, '
'the strategy-name is injected into the filename '
'(so `backtest-data.json` becomes `backtest-data-DefaultStrategy.json`',
nargs='+',
),
"export": Arg(
'--export',
help='Export backtest results, argument are: trades. '
'Example: `--export=trades`',
),
"exportfilename": Arg(
'--export-filename',
help='Save backtest results to the file with this filename (default: `%(default)s`). '
'Requires `--export` to be set as well. '
'Example: `--export-filename=user_data/backtest_data/backtest_today.json`',
metavar='PATH',
default=os.path.join('user_data', 'backtest_data',
'backtest-result.json'),
),
# Edge
"stoploss_range": Arg(
'--stoplosses',
help='Defines a range of stoploss values against which edge will assess the strategy. '
'The format is "min,max,step" (without any space). '
'Example: `--stoplosses=-0.01,-0.1,-0.001`',
),
# Hyperopt
"hyperopt": Arg(
'--customhyperopt',
help='Specify hyperopt class name (default: `%(default)s`).',
metavar='NAME',
default=constants.DEFAULT_HYPEROPT,
),
"epochs": Arg(
'-e', '--epochs',
help='Specify number of epochs (default: %(default)d).',
type=check_int_positive,
metavar='INT',
default=constants.HYPEROPT_EPOCH,
),
"spaces": Arg(
'-s', '--spaces',
help='Specify which parameters to hyperopt. Space-separated list. '
'Default: `%(default)s`.',
choices=['all', 'buy', 'sell', 'roi', 'stoploss'],
nargs='+',
default='all',
),
"print_all": Arg(
'--print-all',
help='Print all results, not only the best ones.',
action='store_true',
default=False,
),
"hyperopt_jobs": Arg(
'-j', '--job-workers',
help='The number of concurrently running jobs for hyperoptimization '
'(hyperopt worker processes). '
'If -1 (default), all CPUs are used, for -2, all CPUs but one are used, etc. '
'If 1 is given, no parallel computing code is used at all.',
type=int,
metavar='JOBS',
default=-1,
),
"hyperopt_random_state": Arg(
'--random-state',
help='Set random state to some positive integer for reproducible hyperopt results.',
type=check_int_positive,
metavar='INT',
),
"hyperopt_min_trades": Arg(
'--min-trades',
help="Set minimal desired number of trades for evaluations in the hyperopt "
"optimization path (default: 1).",
type=check_int_positive,
metavar='INT',
default=1,
),
# List exchanges
"print_one_column": Arg(
'-1', '--one-column',
help='Print exchanges in one column.',
action='store_true',
),
# Script options
"pairs": Arg(
'-p', '--pairs',
help='Show profits for only these pairs. Pairs are comma-separated.',
),
# Download data
"pairs_file": Arg(
'--pairs-file',
help='File containing a list of pairs to download.',
metavar='FILE',
),
"days": Arg(
'--days',
help='Download data for given number of days.',
type=check_int_positive,
metavar='INT',
),
"exchange": Arg(
'--exchange',
help=f'Exchange name (default: `{constants.DEFAULT_EXCHANGE}`). '
f'Only valid if no config is provided.',
),
"timeframes": Arg(
'-t', '--timeframes',
help=f'Specify which tickers to download. Space-separated list. '
f'Default: `{constants.DEFAULT_DOWNLOAD_TICKER_INTERVALS}`.',
choices=['1m', '3m', '5m', '15m', '30m', '1h', '2h', '4h',
'6h', '8h', '12h', '1d', '3d', '1w'],
nargs='+',
),
"erase": Arg(
'--erase',
help='Clean all existing data for the selected exchange/pairs/timeframes.',
action='store_true',
),
# Plot dataframe
"indicators1": Arg(
'--indicators1',
help='Set indicators from your strategy you want in the first row of the graph. '
'Comma-separated list. Example: `ema3,ema5`. Default: `%(default)s`.',
default='sma,ema3,ema5',
),
"indicators2": Arg(
'--indicators2',
help='Set indicators from your strategy you want in the third row of the graph. '
'Comma-separated list. Example: `fastd,fastk`. Default: `%(default)s`.',
default='macd,macdsignal',
),
"plot_limit": Arg(
'--plot-limit',
help='Specify tick limit for plotting. Notice: too high values cause huge files. '
'Default: %(default)s.',
type=check_int_positive,
metavar='INT',
default=750,
),
"trade_source": Arg(
'--trade-source',
help='Specify the source for trades (Can be DB or file (backtest file)) '
'Default: %(default)s',
choices=["DB", "file"],
default="file",
),
}
ARGS_COMMON = ["verbosity", "logfile", "version", "config", "datadir"]
ARGS_STRATEGY = ["strategy", "strategy_path"]
ARGS_MAIN = ARGS_COMMON + ARGS_STRATEGY + ["dynamic_whitelist", "db_url", "sd_notify"]
ARGS_COMMON_OPTIMIZE = ["ticker_interval", "timerange",
"max_open_trades", "stake_amount", "refresh_pairs"]
ARGS_BACKTEST = ARGS_COMMON_OPTIMIZE + ["position_stacking", "use_max_market_positions",
"live", "strategy_list", "export", "exportfilename"]
ARGS_HYPEROPT = ARGS_COMMON_OPTIMIZE + ["hyperopt", "position_stacking", "epochs", "spaces",
"use_max_market_positions", "print_all", "hyperopt_jobs",
"hyperopt_random_state", "hyperopt_min_trades"]
ARGS_EDGE = ARGS_COMMON_OPTIMIZE + ["stoploss_range"]
ARGS_LIST_EXCHANGES = ["print_one_column"]
ARGS_DOWNLOADER = ARGS_COMMON + ["pairs", "pairs_file", "days", "exchange", "timeframes", "erase"]
ARGS_PLOT_DATAFRAME = (ARGS_COMMON + ARGS_STRATEGY +
["pairs", "indicators1", "indicators2", "plot_limit", "db_url",
"trade_source", "export", "exportfilename", "timerange",
"refresh_pairs", "live"])
ARGS_PLOT_PROFIT = (ARGS_COMMON + ARGS_STRATEGY +
["pairs", "timerange", "export", "exportfilename", "db_url", "trade_source"])
class TimeRange(NamedTuple):
"""
NamedTuple defining timerange inputs.
[start/stop]type defines if [start/stop]ts shall be used.
if *type is None, don't use corresponding startvalue.
"""
starttype: Optional[str] = None
stoptype: Optional[str] = None
startts: int = 0
stopts: int = 0
class Arguments(object):
"""
Arguments Class. Manage the arguments received by the cli
"""
def __init__(self, args: Optional[List[str]], description: str) -> None:
self.args = args
self.parsed_arg: Optional[argparse.Namespace] = None
self.parser = argparse.ArgumentParser(description=description)
def _load_args(self) -> None:
self.build_args(optionlist=ARGS_MAIN)
self._build_subcommands()
def get_parsed_arg(self) -> argparse.Namespace:
"""
Return the list of arguments
:return: List[str] List of arguments
"""
if self.parsed_arg is None:
self._load_args()
self.parsed_arg = self.parse_args()
return self.parsed_arg
def parse_args(self, no_default_config: bool = False) -> argparse.Namespace:
"""
Parses given arguments and returns an argparse Namespace instance.
"""
parsed_arg = self.parser.parse_args(self.args)
# Workaround issue in argparse with action='append' and default value
# (see https://bugs.python.org/issue16399)
if not no_default_config and parsed_arg.config is None:
parsed_arg.config = [constants.DEFAULT_CONFIG]
return parsed_arg
def build_args(self, optionlist, parser=None):
parser = parser or self.parser
for val in optionlist:
opt = AVAILABLE_CLI_OPTIONS[val]
parser.add_argument(*opt.cli, dest=val, **opt.kwargs)
def _build_subcommands(self) -> None:
"""
Builds and attaches all subcommands.
:return: None
"""
from freqtrade.optimize import start_backtesting, start_hyperopt, start_edge
from freqtrade.utils import start_list_exchanges
subparsers = self.parser.add_subparsers(dest='subparser')
# Add backtesting subcommand
backtesting_cmd = subparsers.add_parser('backtesting', help='Backtesting module.')
backtesting_cmd.set_defaults(func=start_backtesting)
self.build_args(optionlist=ARGS_BACKTEST, parser=backtesting_cmd)
# Add edge subcommand
edge_cmd = subparsers.add_parser('edge', help='Edge module.')
edge_cmd.set_defaults(func=start_edge)
self.build_args(optionlist=ARGS_EDGE, parser=edge_cmd)
# Add hyperopt subcommand
hyperopt_cmd = subparsers.add_parser('hyperopt', help='Hyperopt module.')
hyperopt_cmd.set_defaults(func=start_hyperopt)
self.build_args(optionlist=ARGS_HYPEROPT, parser=hyperopt_cmd)
# Add list-exchanges subcommand
list_exchanges_cmd = subparsers.add_parser(
'list-exchanges',
help='Print available exchanges.'
)
list_exchanges_cmd.set_defaults(func=start_list_exchanges)
self.build_args(optionlist=ARGS_LIST_EXCHANGES, parser=list_exchanges_cmd)
@staticmethod
def parse_timerange(text: Optional[str]) -> TimeRange:
"""
Parse the value of the argument --timerange to determine what is the range desired
:param text: value from --timerange
:return: Start and End range period
"""
if text is None:
return TimeRange(None, None, 0, 0)
syntax = [(r'^-(\d{8})$', (None, 'date')),
(r'^(\d{8})-$', ('date', None)),
(r'^(\d{8})-(\d{8})$', ('date', 'date')),
(r'^-(\d{10})$', (None, 'date')),
(r'^(\d{10})-$', ('date', None)),
(r'^(\d{10})-(\d{10})$', ('date', 'date')),
(r'^(-\d+)$', (None, 'line')),
(r'^(\d+)-$', ('line', None)),
(r'^(\d+)-(\d+)$', ('index', 'index'))]
for rex, stype in syntax:
# Apply the regular expression to text
match = re.match(rex, text)
if match: # Regex has matched
rvals = match.groups()
index = 0
start: int = 0
stop: int = 0
if stype[0]:
starts = rvals[index]
if stype[0] == 'date' and len(starts) == 8:
start = arrow.get(starts, 'YYYYMMDD').timestamp
else:
start = int(starts)
index += 1
if stype[1]:
stops = rvals[index]
if stype[1] == 'date' and len(stops) == 8:
stop = arrow.get(stops, 'YYYYMMDD').timestamp
else:
stop = int(stops)
return TimeRange(stype[0], stype[1], start, stop)
raise Exception('Incorrect syntax for timerange "%s"' % text)

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import logging
from typing import Any, Dict
from freqtrade import OperationalException
from freqtrade.exchange import (is_exchange_bad, is_exchange_available,
is_exchange_officially_supported, available_exchanges)
logger = logging.getLogger(__name__)
def check_exchange(config: Dict[str, Any], check_for_bad: bool = True) -> bool:
"""
Check if the exchange name in the config file is supported by Freqtrade
:param check_for_bad: if True, check the exchange against the list of known 'bad'
exchanges
:return: False if exchange is 'bad', i.e. is known to work with the bot with
critical issues or does not work at all, crashes, etc. True otherwise.
raises an exception if the exchange if not supported by ccxt
and thus is not known for the Freqtrade at all.
"""
logger.info("Checking exchange...")
exchange = config.get('exchange', {}).get('name').lower()
if not is_exchange_available(exchange):
raise OperationalException(
f'Exchange "{exchange}" is not supported by ccxt '
f'and therefore not available for the bot.\n'
f'The following exchanges are supported by ccxt: '
f'{", ".join(available_exchanges())}'
)
if check_for_bad and is_exchange_bad(exchange):
logger.warning(f'Exchange "{exchange}" is known to not work with the bot yet. '
f'Use it only for development and testing purposes.')
return False
if is_exchange_officially_supported(exchange):
logger.info(f'Exchange "{exchange}" is officially supported '
f'by the Freqtrade development team.')
else:
logger.warning(f'Exchange "{exchange}" is supported by ccxt '
f'and therefore available for the bot but not officially supported '
f'by the Freqtrade development team. '
f'It may work flawlessly (please report back) or have serious issues. '
f'Use it at your own discretion.')
return True

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"""
This module contains the configuration class
"""
import json
import logging
import os
import sys
from argparse import Namespace
from typing import Any, Callable, Dict, Optional
from freqtrade import OperationalException, constants
from freqtrade.configuration.check_exchange import check_exchange
from freqtrade.configuration.json_schema import validate_config_schema
from freqtrade.loggers import setup_logging
from freqtrade.misc import deep_merge_dicts
from freqtrade.state import RunMode
logger = logging.getLogger(__name__)
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
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
def load_config(self) -> Dict[str, Any]:
"""
Extract information for sys.argv and load the bot configuration
:return: Configuration dictionary
"""
config: Dict[str, Any] = {}
# Now expecting a list of config filenames here, not a string
for path in self.args.config:
logger.info('Using config: %s ...', path)
# Merge config options, overwriting old values
config = deep_merge_dicts(self._load_config_file(path), config)
if 'internals' not in config:
config['internals'] = {}
logger.info('Validating configuration ...')
validate_config_schema(config)
self._validate_config_consistency(config)
# 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})
if self.args.strategy_path:
config.update({'strategy_path': self.args.strategy_path})
# Load Common configuration
config = self._load_common_config(config)
# Load Optimize configurations
config = self._load_optimize_config(config)
# Add plotting options if available
config = self._load_plot_config(config)
# Set runmode
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
config.update({'runmode': self.runmode})
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:
# Read config from stdin if requested in the options
with open(path) if path != '-' else sys.stdin as file:
conf = json.load(file)
except FileNotFoundError:
raise OperationalException(
f'Config file "{path}" not found!'
' Please create a config file or check whether it exists.')
return conf
def _load_logging_config(self, config: Dict[str, Any]) -> None:
"""
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})
else:
config.update({'verbosity': 0})
if 'logfile' in self.args and self.args.logfile:
config.update({'logfile': self.args.logfile})
setup_logging(config)
def _load_common_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
"""
Extract information for sys.argv and load common configuration
:return: configuration as dictionary
"""
self._load_logging_config(config)
# Support for sd_notify
if 'sd_notify' in self.args and self.args.sd_notify:
config['internals'].update({'sd_notify': True})
# Add dynamic_whitelist if found
if 'dynamic_whitelist' in self.args and self.args.dynamic_whitelist:
# Update to volumePairList (the previous default)
config['pairlist'] = {'method': 'VolumePairList',
'config': {'number_assets': self.args.dynamic_whitelist}
}
logger.warning(
'Parameter --dynamic-whitelist has been deprecated, '
'and will be completely replaced by the whitelist dict in the future. '
'For now: using dynamically generated whitelist based on VolumePairList. '
'(not applicable with Backtesting and Hyperopt)'
)
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')
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')
logger.info(f'Using DB: "{config["db_url"]}"')
# Check if the exchange set by the user is supported
check_exchange(config)
return config
def _create_datadir(self, config: Dict[str, Any], datadir: Optional[str] = None) -> str:
if not datadir:
# set datadir
exchange_name = config.get('exchange', {}).get('name').lower()
datadir = os.path.join('user_data', 'data', exchange_name)
if not os.path.isdir(datadir):
os.makedirs(datadir)
logger.info(f'Created data directory: {datadir}')
return datadir
def _args_to_config(self, config: Dict[str, Any], argname: str,
logstring: str, logfun: Optional[Callable] = None) -> None:
"""
: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]))
def _load_datadir_config(self, config: Dict[str, Any]) -> None:
"""
Extract information for sys.argv and load datadir configuration:
the --datadir option
"""
if 'datadir' in self.args and self.args.datadir:
config.update({'datadir': self._create_datadir(config, self.args.datadir)})
else:
config.update({'datadir': self._create_datadir(config, None)})
logger.info('Using data directory: %s ...', config.get('datadir'))
def _load_optimize_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
"""
Extract information for sys.argv and load Optimize configuration
:return: configuration as dictionary
"""
# This will override the strategy configuration
self._args_to_config(config, argname='ticker_interval',
logstring='Parameter -i/--ticker-interval detected ... '
'Using ticker_interval: {} ...')
self._args_to_config(config, argname='live',
logstring='Parameter -l/--live detected ...')
self._args_to_config(config, argname='position_stacking',
logstring='Parameter --enable-position-stacking detected ...')
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})
logger.info('Parameter --max_open_trades detected, '
'overriding max_open_trades to: %s ...', config.get('max_open_trades'))
else:
logger.info('Using max_open_trades: %s ...', config.get('max_open_trades'))
self._args_to_config(config, argname='stake_amount',
logstring='Parameter --stake_amount detected, '
'overriding stake_amount to: {} ...')
self._args_to_config(config, argname='timerange',
logstring='Parameter --timerange detected: {} ...')
self._load_datadir_config(config)
self._args_to_config(config, argname='refresh_pairs',
logstring='Parameter -r/--refresh-pairs-cached detected ...')
self._args_to_config(config, argname='strategy_list',
logstring='Using strategy list of {} Strategies', logfun=len)
self._args_to_config(config, argname='ticker_interval',
logstring='Overriding ticker interval with Command line argument')
self._args_to_config(config, argname='export',
logstring='Parameter --export detected: {} ...')
self._args_to_config(config, argname='exportfilename',
logstring='Storing backtest results to {} ...')
# Edge section:
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
self._args_to_config(config, argname='hyperopt',
logstring='Using Hyperopt file {}')
self._args_to_config(config, argname='epochs',
logstring='Parameter --epochs detected ... '
'Will run Hyperopt with for {} epochs ...'
)
self._args_to_config(config, argname='spaces',
logstring='Parameter -s/--spaces detected: {}')
self._args_to_config(config, argname='print_all',
logstring='Parameter --print-all detected ...')
self._args_to_config(config, argname='hyperopt_jobs',
logstring='Parameter -j/--job-workers detected: {}')
self._args_to_config(config, argname='hyperopt_random_state',
logstring='Parameter --random-state detected: {}')
self._args_to_config(config, argname='hyperopt_min_trades',
logstring='Parameter --min-trades detected: {}')
return config
def _load_plot_config(self, config: Dict[str, Any]) -> Dict[str, Any]:
"""
Extract information for sys.argv Plotting configuration
:return: configuration as dictionary
"""
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: {}')
return config
def _validate_config_consistency(self, conf: Dict[str, Any]) -> None:
"""
Validate the configuration consistency
:param conf: Config in JSON format
: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(
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(
f'The config trailing_stop_positive_offset needs '
'to be greater than trailing_stop_positive_offset in your config.')

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import logging
from typing import Any, Dict
from jsonschema import Draft4Validator, validators
from jsonschema.exceptions import ValidationError, best_match
from freqtrade import constants
logger = logging.getLogger(__name__)
def _extend_validator(validator_class):
"""
Extended validator for the Freqtrade configuration JSON Schema.
Currently it only handles defaults for subschemas.
"""
validate_properties = validator_class.VALIDATORS['properties']
def set_defaults(validator, properties, instance, schema):
for prop, subschema in properties.items():
if 'default' in subschema:
instance.setdefault(prop, subschema['default'])
for error in validate_properties(
validator, properties, instance, schema,
):
yield error
return validators.extend(
validator_class, {'properties': set_defaults}
)
FreqtradeValidator = _extend_validator(Draft4Validator)
def validate_config_schema(conf: Dict[str, Any]) -> Dict[str, Any]:
"""
Validate the configuration follow the Config Schema
:param conf: Config in JSON format
:return: Returns the config if valid, otherwise throw an exception
"""
try:
FreqtradeValidator(constants.CONF_SCHEMA).validate(conf)
return conf
except ValidationError as e:
logger.critical(
f"Invalid configuration. See config.json.example. Reason: {e}"
)
raise ValidationError(
best_match(Draft4Validator(constants.CONF_SCHEMA).iter_errors(conf)).message
)