freqtrade_origin/freqtrade/commands/data_commands.py

import logging
import sys
from collections import defaultdict
from typing import Any, Dict

from freqtrade.configuration import TimeRange, setup_utils_configuration
from freqtrade.constants import DATETIME_PRINT_FORMAT, DL_DATA_TIMEFRAMES, Config
from freqtrade.data.converter import (
    convert_ohlcv_format,
    convert_trades_format,
    convert_trades_to_ohlcv,
)
from freqtrade.data.history import download_data_main
from freqtrade.enums import CandleType, RunMode, TradingMode
from freqtrade.exceptions import ConfigurationError
from freqtrade.exchange import timeframe_to_minutes
from freqtrade.plugins.pairlist.pairlist_helpers import dynamic_expand_pairlist
from freqtrade.resolvers import ExchangeResolver
from freqtrade.util.migrations import migrate_data


logger = logging.getLogger(__name__)


def _check_data_config_download_sanity(config: Config) -> None:
    if "days" in config and "timerange" in config:
        raise ConfigurationError(
            "--days and --timerange are mutually exclusive. "
            "You can only specify one or the other."
        )

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


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)

    _check_data_config_download_sanity(config)

    try:
        download_data_main(config)

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


def start_convert_trades(args: Dict[str, Any]) -> None:
    config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)

    timerange = TimeRange()

    # Remove stake-currency to skip checks which are not relevant for datadownload
    config["stake_currency"] = ""

    if "timeframes" not in config:
        config["timeframes"] = DL_DATA_TIMEFRAMES

    # Init exchange
    exchange = ExchangeResolver.load_exchange(config, validate=False)
    # Manual validations of relevant settings

    for timeframe in config["timeframes"]:
        exchange.validate_timeframes(timeframe)
    available_pairs = [
        p
        for p in exchange.get_markets(
            tradable_only=True, active_only=not config.get("include_inactive")
        ).keys()
    ]

    expanded_pairs = dynamic_expand_pairlist(config, available_pairs)

    # Convert downloaded trade data to different timeframes
    convert_trades_to_ohlcv(
        pairs=expanded_pairs,
        timeframes=config["timeframes"],
        datadir=config["datadir"],
        timerange=timerange,
        erase=bool(config.get("erase")),
        data_format_ohlcv=config["dataformat_ohlcv"],
        data_format_trades=config["dataformat_trades"],
        candle_type=config.get("candle_type_def", CandleType.SPOT),
    )


def start_convert_data(args: Dict[str, Any], ohlcv: bool = True) -> None:
    """
    Convert data from one format to another
    """
    config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
    if ohlcv:
        migrate_data(config)
        convert_ohlcv_format(
            config,
            convert_from=args["format_from"],
            convert_to=args["format_to"],
            erase=args["erase"],
        )
    else:
        convert_trades_format(
            config,
            convert_from=args["format_from_trades"],
            convert_to=args["format_to"],
            erase=args["erase"],
        )


def start_list_data(args: Dict[str, Any]) -> None:
    """
    List available backtest data
    """

    config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)

    from tabulate import tabulate

    from freqtrade.data.history import get_datahandler

    dhc = get_datahandler(config["datadir"], config["dataformat_ohlcv"])

    paircombs = dhc.ohlcv_get_available_data(
        config["datadir"], config.get("trading_mode", TradingMode.SPOT)
    )

    if args["pairs"]:
        paircombs = [comb for comb in paircombs if comb[0] in args["pairs"]]

    print(f"Found {len(paircombs)} pair / timeframe combinations.")
    if not config.get("show_timerange"):
        groupedpair = defaultdict(list)
        for pair, timeframe, candle_type in sorted(
            paircombs, key=lambda x: (x[0], timeframe_to_minutes(x[1]), x[2])
        ):
            groupedpair[(pair, candle_type)].append(timeframe)

        if groupedpair:
            print(
                tabulate(
                    [
                        (pair, ", ".join(timeframes), candle_type)
                        for (pair, candle_type), timeframes in groupedpair.items()
                    ],
                    headers=("Pair", "Timeframe", "Type"),
                    tablefmt="psql",
                    stralign="right",
                )
            )
    else:
        paircombs1 = [
            (pair, timeframe, candle_type, *dhc.ohlcv_data_min_max(pair, timeframe, candle_type))
            for pair, timeframe, candle_type in paircombs
        ]

        print(
            tabulate(
                [
                    (
                        pair,
                        timeframe,
                        candle_type,
                        start.strftime(DATETIME_PRINT_FORMAT),
                        end.strftime(DATETIME_PRINT_FORMAT),
                        length,
                    )
                    for pair, timeframe, candle_type, start, end, length in sorted(
                        paircombs1, key=lambda x: (x[0], timeframe_to_minutes(x[1]), x[2])
                    )
                ],
                headers=("Pair", "Timeframe", "Type", "From", "To", "Candles"),
                tablefmt="psql",
                stralign="right",
            )
        )