stable/freqtrade/utils.py

import logging
import sys
from collections import OrderedDict
from pathlib import Path
from typing import Any, Dict, List

import arrow
import csv
import rapidjson
from tabulate import tabulate

from freqtrade import OperationalException
from freqtrade.configuration import Configuration, TimeRange, remove_credentials
from freqtrade.configuration.directory_operations import create_userdata_dir
from freqtrade.data.history import (convert_trades_to_ohlcv,
                                    refresh_backtest_ohlcv_data,
                                    refresh_backtest_trades_data)
from freqtrade.exchange import (available_exchanges, ccxt_exchanges, market_is_active,
                                symbol_is_pair)
from freqtrade.misc import plural
from freqtrade.resolvers import ExchangeResolver
from freqtrade.state import RunMode

logger = logging.getLogger(__name__)


def setup_utils_configuration(args: Dict[str, Any], method: RunMode) -> Dict[str, Any]:
    """
    Prepare the configuration for utils subcommands
    :param args: Cli args from Arguments()
    :return: Configuration
    """
    configuration = Configuration(args, method)
    config = configuration.get_config()

    # Ensure we do not use Exchange credentials
    remove_credentials(config)

    return config


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_create_userdir(args: Dict[str, Any]) -> None:
    """
    Create "user_data" directory to contain user data strategies, hyperopts, ...)
    :param args: Cli args from Arguments()
    :return: None
    """
    if "user_data_dir" in args and args["user_data_dir"]:
        create_userdata_dir(args["user_data_dir"], create_dir=True)
    else:
        logger.warning("`create-userdir` requires --userdir to be set.")
        sys.exit(1)


def start_download_data(args: Dict[str, Any]) -> None:
    """
    Download data (former download_backtest_data.py script)
    """
    config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)

    timerange = TimeRange()
    if 'days' in config:
        time_since = arrow.utcnow().shift(days=-config['days']).strftime("%Y%m%d")
        timerange = TimeRange.parse_timerange(f'{time_since}-')

    if 'pairs' not in config:
        raise OperationalException(
            "Downloading data requires a list of pairs. "
            "Please check the documentation on how to configure this.")

    dl_path = Path(config['datadir'])
    logger.info(f'About to download pairs: {config["pairs"]}, '
                f'intervals: {config["timeframes"]} to {dl_path}')

    pairs_not_available: List[str] = []

    # Init exchange
    exchange = ExchangeResolver(config['exchange']['name'], config).exchange
    try:

        if config.get('download_trades'):
            pairs_not_available = refresh_backtest_trades_data(
                exchange, pairs=config["pairs"], datadir=Path(config['datadir']),
                timerange=timerange, erase=config.get("erase"))

            # Convert downloaded trade data to different timeframes
            convert_trades_to_ohlcv(
                pairs=config["pairs"], timeframes=config["timeframes"],
                datadir=Path(config['datadir']), timerange=timerange, erase=config.get("erase"))
        else:
            pairs_not_available = refresh_backtest_ohlcv_data(
                exchange, pairs=config["pairs"], timeframes=config["timeframes"],
                dl_path=Path(config['datadir']), timerange=timerange, erase=config.get("erase"))

    except KeyboardInterrupt:
        sys.exit("SIGINT received, aborting ...")

    finally:
        if pairs_not_available:
            logger.info(f"Pairs [{','.join(pairs_not_available)}] not available "
                        f"on exchange {exchange.name}.")


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(config['exchange']['name'], config, validate=False).exchange

    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(config['exchange']['name'], config, validate=False).exchange

    # 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}.")