freqtrade_origin/freqtrade/commands/list_commands.py

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import csv
import logging
import sys
from collections import OrderedDict
from pathlib import Path
from typing import Any, Dict
import rapidjson
from tabulate import tabulate
from freqtrade.configuration import setup_utils_configuration
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from freqtrade.constants import USERPATH_HYPEROPTS, USERPATH_STRATEGIES
from freqtrade.exceptions import OperationalException
from freqtrade.exchange import (available_exchanges, ccxt_exchanges,
market_is_active, symbol_is_pair)
from freqtrade.misc import plural
from freqtrade.resolvers import ExchangeResolver, StrategyResolver
from freqtrade.state import RunMode
logger = logging.getLogger(__name__)
def start_list_exchanges(args: Dict[str, Any]) -> None:
"""
Print available exchanges
:param args: Cli args from Arguments()
:return: None
"""
exchanges = ccxt_exchanges() if args['list_exchanges_all'] else available_exchanges()
if args['print_one_column']:
print('\n'.join(exchanges))
else:
if args['list_exchanges_all']:
print(f"All exchanges supported by the ccxt library: {', '.join(exchanges)}")
else:
print(f"Exchanges available for Freqtrade: {', '.join(exchanges)}")
def start_list_strategies(args: Dict[str, Any]) -> None:
"""
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Print files with Strategy custom classes available in the directory
"""
config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
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directory = Path(config.get('strategy_path', config['user_data_dir'] / USERPATH_STRATEGIES))
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strategies = StrategyResolver.search_all_objects(directory, not args['print_one_column'])
# Sort alphabetically
strategies = sorted(strategies, key=lambda x: x['name'])
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names = [s['name'] for s in strategies]
strats_to_print = [{
'name': s['name'] if s['name'] else "--",
'location': s['location'].name,
'status': ("LOAD FAILED" if s['class'] is None
else "OK" if names.count(s['name']) == 1
else "DUPLICATED NAME")
} for s in strategies]
if args['print_one_column']:
print('\n'.join([s['name'] for s in strategies]))
else:
print(tabulate(strats_to_print, headers='keys', tablefmt='pipe'))
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def start_list_hyperopts(args: Dict[str, Any]) -> None:
"""
Print files with HyperOpt custom classes available in the directory
"""
from freqtrade.resolvers.hyperopt_resolver import HyperOptResolver
config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
directory = Path(config.get('hyperopt_path', config['user_data_dir'] / USERPATH_HYPEROPTS))
hyperopts = HyperOptResolver.search_all_objects(directory)
# Sort alphabetically
hyperopts = sorted(hyperopts, key=lambda x: x['name'])
hyperopts_to_print = [{'name': s['name'], 'location': s['location'].name} for s in hyperopts]
if args['print_one_column']:
print('\n'.join([s['name'] for s in hyperopts]))
else:
print(tabulate(hyperopts_to_print, headers='keys', tablefmt='pipe'))
def start_list_timeframes(args: Dict[str, Any]) -> None:
"""
Print ticker intervals (timeframes) available on Exchange
"""
config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
# Do not use ticker_interval set in the config
config['ticker_interval'] = None
# Init exchange
exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config, validate=False)
if args['print_one_column']:
print('\n'.join(exchange.timeframes))
else:
print(f"Timeframes available for the exchange `{exchange.name}`: "
f"{', '.join(exchange.timeframes)}")
def start_list_markets(args: Dict[str, Any], pairs_only: bool = False) -> None:
"""
Print pairs/markets on the exchange
:param args: Cli args from Arguments()
:param pairs_only: if True print only pairs, otherwise print all instruments (markets)
:return: None
"""
config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
# Init exchange
exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config, validate=False)
# By default only active pairs/markets are to be shown
active_only = not args.get('list_pairs_all', False)
base_currencies = args.get('base_currencies', [])
quote_currencies = args.get('quote_currencies', [])
try:
pairs = exchange.get_markets(base_currencies=base_currencies,
quote_currencies=quote_currencies,
pairs_only=pairs_only,
active_only=active_only)
# Sort the pairs/markets by symbol
pairs = OrderedDict(sorted(pairs.items()))
except Exception as e:
raise OperationalException(f"Cannot get markets. Reason: {e}") from e
else:
summary_str = ((f"Exchange {exchange.name} has {len(pairs)} ") +
("active " if active_only else "") +
(plural(len(pairs), "pair" if pairs_only else "market")) +
(f" with {', '.join(base_currencies)} as base "
f"{plural(len(base_currencies), 'currency', 'currencies')}"
if base_currencies else "") +
(" and" if base_currencies and quote_currencies else "") +
(f" with {', '.join(quote_currencies)} as quote "
f"{plural(len(quote_currencies), 'currency', 'currencies')}"
if quote_currencies else ""))
headers = ["Id", "Symbol", "Base", "Quote", "Active",
*(['Is pair'] if not pairs_only else [])]
tabular_data = []
for _, v in pairs.items():
tabular_data.append({'Id': v['id'], 'Symbol': v['symbol'],
'Base': v['base'], 'Quote': v['quote'],
'Active': market_is_active(v),
**({'Is pair': symbol_is_pair(v['symbol'])}
if not pairs_only else {})})
if (args.get('print_one_column', False) or
args.get('list_pairs_print_json', False) or
args.get('print_csv', False)):
# Print summary string in the log in case of machine-readable
# regular formats.
logger.info(f"{summary_str}.")
else:
# Print empty string separating leading logs and output in case of
# human-readable formats.
print()
if len(pairs):
if args.get('print_list', False):
# print data as a list, with human-readable summary
print(f"{summary_str}: {', '.join(pairs.keys())}.")
elif args.get('print_one_column', False):
print('\n'.join(pairs.keys()))
elif args.get('list_pairs_print_json', False):
print(rapidjson.dumps(list(pairs.keys()), default=str))
elif args.get('print_csv', False):
writer = csv.DictWriter(sys.stdout, fieldnames=headers)
writer.writeheader()
writer.writerows(tabular_data)
else:
# print data as a table, with the human-readable summary
print(f"{summary_str}:")
print(tabulate(tabular_data, headers='keys', tablefmt='pipe'))
elif not (args.get('print_one_column', False) or
args.get('list_pairs_print_json', False) or
args.get('print_csv', False)):
print(f"{summary_str}.")