Merge pull request #1750 from hroff-1902/ccxt-to-exchange-only
minor: limit usage of ccxt to freqtrade/exchange only
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commit
577ccd32f0
@ -9,14 +9,15 @@ from argparse import Namespace
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from logging.handlers import RotatingFileHandler
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from typing import Any, Dict, List, Optional
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import ccxt
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from jsonschema import Draft4Validator, validate
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from jsonschema.exceptions import ValidationError, best_match
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from freqtrade import OperationalException, constants
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from freqtrade.exchange import is_exchange_supported, supported_exchanges
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from freqtrade.misc import deep_merge_dicts
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from freqtrade.state import RunMode
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logger = logging.getLogger(__name__)
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@ -384,10 +385,11 @@ class Configuration(object):
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:return: True or raised an exception if the exchange if not supported
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"""
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exchange = config.get('exchange', {}).get('name').lower()
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if exchange not in ccxt.exchanges:
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if not is_exchange_supported(exchange):
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exception_msg = f'Exchange "{exchange}" not supported.\n' \
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f'The following exchanges are supported: {", ".join(ccxt.exchanges)}'
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f'The following exchanges are supported: ' \
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f'{", ".join(supported_exchanges())}'
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logger.critical(exception_msg)
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raise OperationalException(
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@ -2,9 +2,9 @@
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Functions to convert data from one format to another
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"""
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import logging
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import pandas as pd
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from pandas import DataFrame, to_datetime
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from freqtrade.misc import timeframe_to_minutes
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logger = logging.getLogger(__name__)
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@ -58,6 +58,8 @@ def ohlcv_fill_up_missing_data(dataframe: DataFrame, ticker_interval: str) -> Da
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using the previous close as price for "open", "high" "low" and "close", volume is set to 0
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"""
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from freqtrade.exchange import timeframe_to_minutes
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ohlc_dict = {
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'open': 'first',
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'high': 'max',
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@ -1,10 +1,10 @@
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"""
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Handle historic data (ohlcv).
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includes:
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Includes:
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* load data for a pair (or a list of pairs) from disk
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* download data from exchange and store to disk
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"""
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import logging
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from pathlib import Path
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from typing import Optional, List, Dict, Tuple, Any
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@ -15,8 +15,7 @@ from pandas import DataFrame
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from freqtrade import misc, OperationalException
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from freqtrade.arguments import TimeRange
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from freqtrade.data.converter import parse_ticker_dataframe
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from freqtrade.exchange import Exchange
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from freqtrade.misc import timeframe_to_minutes
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from freqtrade.exchange import Exchange, timeframe_to_minutes
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logger = logging.getLogger(__name__)
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@ -1,3 +1,8 @@
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from freqtrade.exchange.exchange import Exchange # noqa: F401
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from freqtrade.exchange.exchange import (is_exchange_supported, # noqa: F401
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supported_exchanges)
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from freqtrade.exchange.exchange import (timeframe_to_seconds, # noqa: F401
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timeframe_to_minutes,
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timeframe_to_msecs)
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from freqtrade.exchange.kraken import Kraken # noqa: F401
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from freqtrade.exchange.binance import Binance # noqa: F401
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@ -1,5 +1,7 @@
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# pragma pylint: disable=W0603
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""" Cryptocurrency Exchanges support """
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"""
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Cryptocurrency Exchanges support
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"""
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import logging
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import inspect
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from random import randint
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@ -16,7 +18,6 @@ from pandas import DataFrame
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from freqtrade import (constants, DependencyException, OperationalException,
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TemporaryError, InvalidOrderException)
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from freqtrade.data.converter import parse_ticker_dataframe
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from freqtrade.misc import timeframe_to_seconds, timeframe_to_msecs
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logger = logging.getLogger(__name__)
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@ -138,7 +139,7 @@ class Exchange(object):
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# Find matching class for the given exchange name
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name = exchange_config['name']
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if name not in ccxt_module.exchanges:
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if not is_exchange_supported(name, ccxt_module):
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raise OperationalException(f'Exchange {name} is not supported')
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ex_config = {
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@ -689,3 +690,34 @@ class Exchange(object):
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f'Could not get fee info due to {e.__class__.__name__}. Message: {e}')
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except ccxt.BaseError as e:
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raise OperationalException(e)
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def is_exchange_supported(exchange: str, ccxt_module=None) -> bool:
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return exchange in supported_exchanges(ccxt_module)
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def supported_exchanges(ccxt_module=None) -> List[str]:
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return ccxt_module.exchanges if ccxt_module is not None else ccxt.exchanges
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def timeframe_to_seconds(ticker_interval: str) -> int:
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"""
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Translates the timeframe interval value written in the human readable
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form ('1m', '5m', '1h', '1d', '1w', etc.) to the number
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of seconds for one timeframe interval.
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"""
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return ccxt.Exchange.parse_timeframe(ticker_interval)
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def timeframe_to_minutes(ticker_interval: str) -> int:
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"""
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Same as above, but returns minutes.
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"""
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return ccxt.Exchange.parse_timeframe(ticker_interval) // 60
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def timeframe_to_msecs(ticker_interval: str) -> int:
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"""
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Same as above, but returns milliseconds.
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"""
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return ccxt.Exchange.parse_timeframe(ticker_interval) * 1000
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@ -16,7 +16,7 @@ from freqtrade import (DependencyException, OperationalException, InvalidOrderEx
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from freqtrade.data.converter import order_book_to_dataframe
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.edge import Edge
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from freqtrade.misc import timeframe_to_minutes
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.persistence import Trade
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from freqtrade.rpc import RPCManager, RPCMessageType
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from freqtrade.resolvers import ExchangeResolver, StrategyResolver, PairListResolver
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@ -460,7 +460,7 @@ class FreqtradeBot(object):
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def get_real_amount(self, trade: Trade, order: Dict) -> float:
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"""
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Get real amount for the trade
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Necessary for self.exchanges which charge fees in base currency (e.g. binance)
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Necessary for exchanges which charge fees in base currency (e.g. binance)
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"""
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order_amount = order['amount']
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# Only run for closed orders
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@ -1,18 +1,17 @@
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"""
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Various tool function for Freqtrade and scripts
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"""
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import gzip
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import logging
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import re
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from datetime import datetime
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from typing import Dict
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from ccxt import Exchange
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import numpy as np
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from pandas import DataFrame
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import rapidjson
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logger = logging.getLogger(__name__)
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@ -132,26 +131,3 @@ def deep_merge_dicts(source, destination):
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destination[key] = value
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return destination
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def timeframe_to_seconds(ticker_interval: str) -> int:
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"""
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Translates the timeframe interval value written in the human readable
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form ('1m', '5m', '1h', '1d', '1w', etc.) to the number
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of seconds for one timeframe interval.
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"""
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return Exchange.parse_timeframe(ticker_interval)
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def timeframe_to_minutes(ticker_interval: str) -> int:
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"""
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Same as above, but returns minutes.
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"""
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return Exchange.parse_timeframe(ticker_interval) // 60
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def timeframe_to_msecs(ticker_interval: str) -> int:
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"""
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Same as above, but returns milliseconds.
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"""
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return Exchange.parse_timeframe(ticker_interval) * 1000
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@ -19,12 +19,14 @@ from freqtrade.arguments import Arguments
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from freqtrade.configuration import Configuration
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from freqtrade.data import history
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.misc import file_dump_json, timeframe_to_minutes
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.misc import file_dump_json
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from freqtrade.persistence import Trade
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from freqtrade.resolvers import ExchangeResolver, StrategyResolver
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from freqtrade.state import RunMode
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from freqtrade.strategy.interface import SellType, IStrategy
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logger = logging.getLogger(__name__)
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@ -6,6 +6,7 @@ from freqtrade.strategy.interface import IStrategy
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# Import Default-Strategy to have hyperopt correctly resolve
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from freqtrade.strategy.default_strategy import DefaultStrategy # noqa: F401
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logger = logging.getLogger(__name__)
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@ -16,7 +17,6 @@ def import_strategy(strategy: IStrategy, config: dict) -> IStrategy:
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"""
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# Copy all attributes from base class and class
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comb = {**strategy.__class__.__dict__, **strategy.__dict__}
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# Delete '_abc_impl' from dict as deepcopy fails on 3.7 with
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@ -26,6 +26,7 @@ def import_strategy(strategy: IStrategy, config: dict) -> IStrategy:
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del comb['_abc_impl']
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attr = deepcopy(comb)
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# Adjust module name
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attr['__module__'] = 'freqtrade.strategy'
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@ -13,10 +13,11 @@ import arrow
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from pandas import DataFrame
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.misc import timeframe_to_minutes
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.persistence import Trade
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from freqtrade.wallets import Wallets
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logger = logging.getLogger(__name__)
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@ -3,7 +3,7 @@ from typing import NamedTuple, List
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import arrow
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from pandas import DataFrame
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from freqtrade.misc import timeframe_to_minutes
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.strategy.interface import SellType
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ticker_start_time = arrow.get(2018, 10, 3)
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@ -2,7 +2,7 @@
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from freqtrade import optimize
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from freqtrade.arguments import TimeRange
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from freqtrade.data import history
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from freqtrade.misc import timeframe_to_minutes
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.strategy.default_strategy import DefaultStrategy
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from freqtrade.tests.conftest import log_has, patch_exchange
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@ -27,10 +27,12 @@ from plotly.offline import plot
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from freqtrade.arguments import Arguments
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from freqtrade.configuration import Configuration
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from freqtrade.data import history
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from freqtrade.misc import common_datearray, timeframe_to_seconds
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from freqtrade.exchange import timeframe_to_seconds
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from freqtrade.misc import common_datearray
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from freqtrade.resolvers import StrategyResolver
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from freqtrade.state import RunMode
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logger = logging.getLogger(__name__)
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