mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-10 10:21:59 +00:00
1259 lines
35 KiB
Python
1259 lines
35 KiB
Python
# pragma pylint: disable=missing-docstring
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import json
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import logging
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import re
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from copy import deepcopy
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from datetime import datetime
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from functools import reduce
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from pathlib import Path
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from unittest.mock import MagicMock, PropertyMock
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import arrow
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import numpy as np
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import pytest
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from telegram import Chat, Message, Update
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from freqtrade import constants, persistence
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from freqtrade.configuration import Arguments
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from freqtrade.data.converter import parse_ticker_dataframe
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from freqtrade.edge import Edge, PairInfo
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from freqtrade.exchange import Exchange
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from freqtrade.freqtradebot import FreqtradeBot
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from freqtrade.persistence import Trade
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from freqtrade.resolvers import ExchangeResolver
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from freqtrade.worker import Worker
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logging.getLogger('').setLevel(logging.INFO)
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# Do not mask numpy errors as warnings that no one read, raise the exсeption
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np.seterr(all='raise')
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def log_has(line, logs):
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# caplog mocker returns log as a tuple: ('freqtrade.something', logging.WARNING, 'foobar')
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# and we want to match line against foobar in the tuple
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return reduce(lambda a, b: a or b,
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filter(lambda x: x[2] == line, logs.record_tuples),
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False)
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def log_has_re(line, logs):
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return reduce(lambda a, b: a or b,
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filter(lambda x: re.match(line, x[2]), logs.record_tuples),
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False)
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def get_args(args):
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return Arguments(args).get_parsed_arg()
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def patched_configuration_load_config_file(mocker, config) -> None:
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mocker.patch(
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'freqtrade.configuration.configuration.load_config_file',
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lambda *args, **kwargs: config
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)
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def patch_exchange(mocker, api_mock=None, id='bittrex', mock_markets=True) -> None:
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mocker.patch('freqtrade.exchange.Exchange._load_markets', MagicMock(return_value={}))
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mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
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mocker.patch('freqtrade.exchange.Exchange.validate_timeframes', MagicMock())
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mocker.patch('freqtrade.exchange.Exchange.validate_ordertypes', MagicMock())
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mocker.patch('freqtrade.exchange.Exchange.id', PropertyMock(return_value=id))
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mocker.patch('freqtrade.exchange.Exchange.name', PropertyMock(return_value=id.title()))
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if mock_markets:
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mocker.patch('freqtrade.exchange.Exchange.markets',
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PropertyMock(return_value=get_markets()))
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if api_mock:
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mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
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else:
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mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock())
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def get_patched_exchange(mocker, config, api_mock=None, id='bittrex',
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mock_markets=True) -> Exchange:
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patch_exchange(mocker, api_mock, id, mock_markets)
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config["exchange"]["name"] = id
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try:
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exchange = ExchangeResolver(id, config).exchange
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except ImportError:
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exchange = Exchange(config)
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return exchange
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def patch_wallet(mocker, free=999.9) -> None:
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mocker.patch('freqtrade.wallets.Wallets.get_free', MagicMock(
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return_value=free
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))
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def patch_whitelist(mocker, conf) -> None:
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mocker.patch('freqtrade.freqtradebot.FreqtradeBot._refresh_whitelist',
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MagicMock(return_value=conf['exchange']['pair_whitelist']))
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def patch_edge(mocker) -> None:
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# "ETH/BTC",
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# "LTC/BTC",
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# "XRP/BTC",
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# "NEO/BTC"
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mocker.patch('freqtrade.edge.Edge._cached_pairs', mocker.PropertyMock(
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return_value={
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'NEO/BTC': PairInfo(-0.20, 0.66, 3.71, 0.50, 1.71, 10, 25),
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'LTC/BTC': PairInfo(-0.21, 0.66, 3.71, 0.50, 1.71, 11, 20),
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}
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))
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mocker.patch('freqtrade.edge.Edge.calculate', MagicMock(return_value=True))
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def get_patched_edge(mocker, config) -> Edge:
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patch_edge(mocker)
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edge = Edge(config)
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return edge
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# Functions for recurrent object patching
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def patch_freqtradebot(mocker, config) -> None:
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"""
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This function patch _init_modules() to not call dependencies
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:param mocker: a Mocker object to apply patches
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:param config: Config to pass to the bot
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:return: None
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"""
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mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
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persistence.init(config['db_url'])
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patch_exchange(mocker)
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mocker.patch('freqtrade.freqtradebot.RPCManager._init', MagicMock())
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mocker.patch('freqtrade.freqtradebot.RPCManager.send_msg', MagicMock())
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patch_whitelist(mocker, config)
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def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
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"""
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This function patches _init_modules() to not call dependencies
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:param mocker: a Mocker object to apply patches
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:param config: Config to pass to the bot
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:return: FreqtradeBot
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"""
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patch_freqtradebot(mocker, config)
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return FreqtradeBot(config)
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def get_patched_worker(mocker, config) -> Worker:
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"""
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This function patches _init_modules() to not call dependencies
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:param mocker: a Mocker object to apply patches
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:param config: Config to pass to the bot
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:return: Worker
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"""
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patch_freqtradebot(mocker, config)
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return Worker(args=None, config=config)
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def patch_get_signal(freqtrade: FreqtradeBot, value=(True, False)) -> None:
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"""
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:param mocker: mocker to patch IStrategy class
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:param value: which value IStrategy.get_signal() must return
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:return: None
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"""
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freqtrade.strategy.get_signal = lambda e, s, t: value
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freqtrade.exchange.refresh_latest_ohlcv = lambda p: None
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@pytest.fixture(autouse=True)
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def patch_coinmarketcap(mocker) -> None:
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"""
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Mocker to coinmarketcap to speed up tests
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:param mocker: mocker to patch coinmarketcap class
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:return: None
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"""
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tickermock = MagicMock(return_value={'price_usd': 12345.0})
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listmock = MagicMock(return_value={'data': [{'id': 1, 'name': 'Bitcoin', 'symbol': 'BTC',
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'website_slug': 'bitcoin'},
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{'id': 1027, 'name': 'Ethereum', 'symbol': 'ETH',
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'website_slug': 'ethereum'}
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]})
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mocker.patch.multiple(
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'freqtrade.rpc.fiat_convert.Market',
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ticker=tickermock,
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listings=listmock,
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)
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@pytest.fixture(scope='function')
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def init_persistence(default_conf):
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persistence.init(default_conf['db_url'], default_conf['dry_run'])
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@pytest.fixture(scope="function")
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def default_conf(testdatadir):
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""" Returns validated configuration suitable for most tests """
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configuration = {
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"max_open_trades": 1,
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"stake_currency": "BTC",
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"stake_amount": 0.001,
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"fiat_display_currency": "USD",
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"ticker_interval": '5m',
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"dry_run": True,
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"minimal_roi": {
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"40": 0.0,
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"30": 0.01,
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"20": 0.02,
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"0": 0.04
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},
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"stoploss": -0.10,
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"unfilledtimeout": {
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"buy": 10,
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"sell": 30
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},
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"bid_strategy": {
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"ask_last_balance": 0.0,
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"use_order_book": False,
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"order_book_top": 1,
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"check_depth_of_market": {
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"enabled": False,
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"bids_to_ask_delta": 1
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}
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},
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"ask_strategy": {
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"use_order_book": False,
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"order_book_min": 1,
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"order_book_max": 1
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},
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"exchange": {
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"name": "bittrex",
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"enabled": True,
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"key": "key",
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"secret": "secret",
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"pair_whitelist": [
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"ETH/BTC",
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"LTC/BTC",
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"XRP/BTC",
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"NEO/BTC"
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],
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"pair_blacklist": [
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"DOGE/BTC",
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"HOT/BTC",
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]
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},
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"telegram": {
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"enabled": True,
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"token": "token",
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"chat_id": "0"
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},
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"datadir": str(testdatadir),
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"initial_state": "running",
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"db_url": "sqlite://",
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"user_data_dir": Path("user_data"),
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"verbosity": 3,
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}
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return configuration
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@pytest.fixture
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def update():
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_update = Update(0)
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_update.message = Message(0, 0, datetime.utcnow(), Chat(0, 0))
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return _update
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@pytest.fixture
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def fee():
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return MagicMock(return_value=0.0025)
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@pytest.fixture
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def ticker():
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return MagicMock(return_value={
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'bid': 0.00001098,
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'ask': 0.00001099,
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'last': 0.00001098,
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})
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@pytest.fixture
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def ticker_sell_up():
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return MagicMock(return_value={
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'bid': 0.00001172,
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'ask': 0.00001173,
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'last': 0.00001172,
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})
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@pytest.fixture
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def ticker_sell_down():
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return MagicMock(return_value={
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'bid': 0.00001044,
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'ask': 0.00001043,
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'last': 0.00001044,
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})
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@pytest.fixture
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def markets():
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return get_markets()
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def get_markets():
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return {
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'ETH/BTC': {
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'id': 'ethbtc',
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'symbol': 'ETH/BTC',
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'base': 'ETH',
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'quote': 'BTC',
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'active': True,
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'precision': {
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'price': 8,
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'amount': 8,
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'cost': 8,
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},
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'lot': 0.00000001,
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'limits': {
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'amount': {
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'min': 0.01,
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'max': 1000,
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},
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'price': 500000,
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'cost': {
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'min': 1,
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'max': 500000,
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},
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},
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'info': {},
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},
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'TKN/BTC': {
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'id': 'tknbtc',
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'symbol': 'TKN/BTC',
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'base': 'TKN',
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'quote': 'BTC',
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# According to ccxt, markets without active item set are also active
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# 'active': True,
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'precision': {
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'price': 8,
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'amount': 8,
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'cost': 8,
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},
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'lot': 0.00000001,
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'limits': {
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'amount': {
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'min': 0.01,
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'max': 1000,
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},
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'price': 500000,
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'cost': {
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'min': 1,
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'max': 500000,
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},
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},
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'info': {},
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},
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'BLK/BTC': {
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'id': 'blkbtc',
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'symbol': 'BLK/BTC',
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'base': 'BLK',
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'quote': 'BTC',
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'active': True,
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'precision': {
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'price': 8,
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'amount': 8,
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'cost': 8,
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},
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'lot': 0.00000001,
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'limits': {
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'amount': {
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'min': 0.01,
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'max': 1000,
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},
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'price': 500000,
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'cost': {
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'min': 1,
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'max': 500000,
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},
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},
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'info': {},
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},
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'LTC/BTC': {
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'id': 'ltcbtc',
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'symbol': 'LTC/BTC',
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'base': 'LTC',
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'quote': 'BTC',
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'active': True,
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'precision': {
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'price': 8,
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'amount': 8,
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'cost': 8,
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},
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'lot': 0.00000001,
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'limits': {
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'amount': {
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'min': 0.01,
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'max': 1000,
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},
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'price': 500000,
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'cost': {
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'min': 1,
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'max': 500000,
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},
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},
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'info': {},
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},
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'XRP/BTC': {
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'id': 'xrpbtc',
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'symbol': 'XRP/BTC',
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'base': 'XRP',
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'quote': 'BTC',
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'active': True,
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'precision': {
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'price': 8,
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'amount': 8,
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'cost': 8,
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},
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'lot': 0.00000001,
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'limits': {
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'amount': {
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'min': 0.01,
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'max': 1000,
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},
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'price': 500000,
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'cost': {
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'min': 1,
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'max': 500000,
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},
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},
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'info': {},
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},
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'NEO/BTC': {
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'id': 'neobtc',
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'symbol': 'NEO/BTC',
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'base': 'NEO',
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'quote': 'BTC',
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'active': True,
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'precision': {
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'price': 8,
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'amount': 8,
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'cost': 8,
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},
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'lot': 0.00000001,
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'limits': {
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'amount': {
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'min': 0.01,
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||
'max': 1000,
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||
},
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'price': 500000,
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'cost': {
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'min': 1,
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'max': 500000,
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},
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},
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'info': {},
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},
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'BTT/BTC': {
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'id': 'BTTBTC',
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'symbol': 'BTT/BTC',
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'base': 'BTT',
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'quote': 'BTC',
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'active': False,
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'precision': {
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'base': 8,
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||
'quote': 8,
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'amount': 0,
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||
'price': 8
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||
},
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||
'limits': {
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||
'amount': {
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||
'min': 1.0,
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'max': 90000000.0
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},
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||
'price': {
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||
'min': None,
|
||
'max': None
|
||
},
|
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'cost': {
|
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'min': 0.001,
|
||
'max': None
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||
}
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},
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'info': {},
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},
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'ETH/USDT': {
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||
'id': 'USDT-ETH',
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||
'symbol': 'ETH/USDT',
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||
'base': 'ETH',
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||
'quote': 'USDT',
|
||
'precision': {
|
||
'amount': 8,
|
||
'price': 8
|
||
},
|
||
'limits': {
|
||
'amount': {
|
||
'min': 0.02214286,
|
||
'max': None
|
||
},
|
||
'price': {
|
||
'min': 1e-08,
|
||
'max': None
|
||
}
|
||
},
|
||
'active': True,
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||
'info': {},
|
||
},
|
||
'LTC/USDT': {
|
||
'id': 'USDT-LTC',
|
||
'symbol': 'LTC/USDT',
|
||
'base': 'LTC',
|
||
'quote': 'USDT',
|
||
'active': False,
|
||
'precision': {
|
||
'amount': 8,
|
||
'price': 8
|
||
},
|
||
'limits': {
|
||
'amount': {
|
||
'min': 0.06646786,
|
||
'max': None
|
||
},
|
||
'price': {
|
||
'min': 1e-08,
|
||
'max': None
|
||
}
|
||
},
|
||
'info': {},
|
||
},
|
||
'LTC/USD': {
|
||
'id': 'USD-LTC',
|
||
'symbol': 'LTC/USD',
|
||
'base': 'LTC',
|
||
'quote': 'USD',
|
||
'active': True,
|
||
'precision': {
|
||
'amount': 8,
|
||
'price': 8
|
||
},
|
||
'limits': {
|
||
'amount': {
|
||
'min': 0.06646786,
|
||
'max': None
|
||
},
|
||
'price': {
|
||
'min': 1e-08,
|
||
'max': None
|
||
}
|
||
},
|
||
'info': {},
|
||
},
|
||
'XLTCUSDT': {
|
||
'id': 'xLTCUSDT',
|
||
'symbol': 'XLTCUSDT',
|
||
'base': 'LTC',
|
||
'quote': 'USDT',
|
||
'active': True,
|
||
'precision': {
|
||
'amount': 8,
|
||
'price': 8
|
||
},
|
||
'limits': {
|
||
'amount': {
|
||
'min': 0.06646786,
|
||
'max': None
|
||
},
|
||
'price': {
|
||
'min': 1e-08,
|
||
'max': None
|
||
}
|
||
},
|
||
'info': {},
|
||
}
|
||
}
|
||
|
||
|
||
@pytest.fixture
|
||
def markets_empty():
|
||
return MagicMock(return_value=[])
|
||
|
||
|
||
@pytest.fixture(scope='function')
|
||
def limit_buy_order():
|
||
return {
|
||
'id': 'mocked_limit_buy',
|
||
'type': 'limit',
|
||
'side': 'buy',
|
||
'pair': 'mocked',
|
||
'datetime': arrow.utcnow().isoformat(),
|
||
'price': 0.00001099,
|
||
'amount': 90.99181073,
|
||
'remaining': 0.0,
|
||
'status': 'closed'
|
||
}
|
||
|
||
|
||
@pytest.fixture(scope='function')
|
||
def market_buy_order():
|
||
return {
|
||
'id': 'mocked_market_buy',
|
||
'type': 'market',
|
||
'side': 'buy',
|
||
'pair': 'mocked',
|
||
'datetime': arrow.utcnow().isoformat(),
|
||
'price': 0.00004099,
|
||
'amount': 91.99181073,
|
||
'remaining': 0.0,
|
||
'status': 'closed'
|
||
}
|
||
|
||
|
||
@pytest.fixture
|
||
def market_sell_order():
|
||
return {
|
||
'id': 'mocked_limit_sell',
|
||
'type': 'market',
|
||
'side': 'sell',
|
||
'pair': 'mocked',
|
||
'datetime': arrow.utcnow().isoformat(),
|
||
'price': 0.00004173,
|
||
'amount': 91.99181073,
|
||
'remaining': 0.0,
|
||
'status': 'closed'
|
||
}
|
||
|
||
|
||
@pytest.fixture
|
||
def limit_buy_order_old():
|
||
return {
|
||
'id': 'mocked_limit_buy_old',
|
||
'type': 'limit',
|
||
'side': 'buy',
|
||
'pair': 'mocked',
|
||
'datetime': str(arrow.utcnow().shift(minutes=-601).datetime),
|
||
'price': 0.00001099,
|
||
'amount': 90.99181073,
|
||
'remaining': 90.99181073,
|
||
'status': 'open'
|
||
}
|
||
|
||
|
||
@pytest.fixture
|
||
def limit_sell_order_old():
|
||
return {
|
||
'id': 'mocked_limit_sell_old',
|
||
'type': 'limit',
|
||
'side': 'sell',
|
||
'pair': 'ETH/BTC',
|
||
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
|
||
'price': 0.00001099,
|
||
'amount': 90.99181073,
|
||
'remaining': 90.99181073,
|
||
'status': 'open'
|
||
}
|
||
|
||
|
||
@pytest.fixture
|
||
def limit_buy_order_old_partial():
|
||
return {
|
||
'id': 'mocked_limit_buy_old_partial',
|
||
'type': 'limit',
|
||
'side': 'buy',
|
||
'pair': 'ETH/BTC',
|
||
'datetime': arrow.utcnow().shift(minutes=-601).isoformat(),
|
||
'price': 0.00001099,
|
||
'amount': 90.99181073,
|
||
'remaining': 67.99181073,
|
||
'status': 'open'
|
||
}
|
||
|
||
|
||
@pytest.fixture
|
||
def limit_buy_order_old_partial_canceled(limit_buy_order_old_partial):
|
||
res = deepcopy(limit_buy_order_old_partial)
|
||
res['status'] = 'canceled'
|
||
res['fee'] = {'cost': 0.0001, 'currency': 'ETH'}
|
||
return res
|
||
|
||
|
||
@pytest.fixture
|
||
def limit_sell_order():
|
||
return {
|
||
'id': 'mocked_limit_sell',
|
||
'type': 'limit',
|
||
'side': 'sell',
|
||
'pair': 'mocked',
|
||
'datetime': arrow.utcnow().isoformat(),
|
||
'price': 0.00001173,
|
||
'amount': 90.99181073,
|
||
'remaining': 0.0,
|
||
'status': 'closed'
|
||
}
|
||
|
||
|
||
@pytest.fixture
|
||
def order_book_l2():
|
||
return MagicMock(return_value={
|
||
'bids': [
|
||
[0.043936, 10.442],
|
||
[0.043935, 31.865],
|
||
[0.043933, 11.212],
|
||
[0.043928, 0.088],
|
||
[0.043925, 10.0],
|
||
[0.043921, 10.0],
|
||
[0.04392, 37.64],
|
||
[0.043899, 0.066],
|
||
[0.043885, 0.676],
|
||
[0.04387, 22.758]
|
||
],
|
||
'asks': [
|
||
[0.043949, 0.346],
|
||
[0.04395, 0.608],
|
||
[0.043951, 3.948],
|
||
[0.043954, 0.288],
|
||
[0.043958, 9.277],
|
||
[0.043995, 1.566],
|
||
[0.044, 0.588],
|
||
[0.044002, 0.992],
|
||
[0.044003, 0.095],
|
||
[0.04402, 37.64]
|
||
],
|
||
'timestamp': None,
|
||
'datetime': None,
|
||
'nonce': 288004540
|
||
})
|
||
|
||
|
||
@pytest.fixture
|
||
def ticker_history_list():
|
||
return [
|
||
[
|
||
1511686200000, # unix timestamp ms
|
||
8.794e-05, # open
|
||
8.948e-05, # high
|
||
8.794e-05, # low
|
||
8.88e-05, # close
|
||
0.0877869, # volume (in quote currency)
|
||
],
|
||
[
|
||
1511686500000,
|
||
8.88e-05,
|
||
8.942e-05,
|
||
8.88e-05,
|
||
8.893e-05,
|
||
0.05874751,
|
||
],
|
||
[
|
||
1511686800000,
|
||
8.891e-05,
|
||
8.893e-05,
|
||
8.875e-05,
|
||
8.877e-05,
|
||
0.7039405
|
||
]
|
||
]
|
||
|
||
|
||
@pytest.fixture
|
||
def ticker_history(ticker_history_list):
|
||
return parse_ticker_dataframe(ticker_history_list, "5m", pair="UNITTEST/BTC", fill_missing=True)
|
||
|
||
|
||
@pytest.fixture
|
||
def tickers():
|
||
return MagicMock(return_value={
|
||
'ETH/BTC': {
|
||
'symbol': 'ETH/BTC',
|
||
'timestamp': 1522014806207,
|
||
'datetime': '2018-03-25T21:53:26.207Z',
|
||
'high': 0.061697,
|
||
'low': 0.060531,
|
||
'bid': 0.061588,
|
||
'bidVolume': 3.321,
|
||
'ask': 0.061655,
|
||
'askVolume': 0.212,
|
||
'vwap': 0.06105296,
|
||
'open': 0.060809,
|
||
'close': 0.060761,
|
||
'first': None,
|
||
'last': 0.061588,
|
||
'change': 1.281,
|
||
'percentage': None,
|
||
'average': None,
|
||
'baseVolume': 111649.001,
|
||
'quoteVolume': 6816.50176926,
|
||
'info': {}
|
||
},
|
||
'TKN/BTC': {
|
||
'symbol': 'TKN/BTC',
|
||
'timestamp': 1522014806169,
|
||
'datetime': '2018-03-25T21:53:26.169Z',
|
||
'high': 0.01885,
|
||
'low': 0.018497,
|
||
'bid': 0.018799,
|
||
'bidVolume': 8.38,
|
||
'ask': 0.018802,
|
||
'askVolume': 15.0,
|
||
'vwap': 0.01869197,
|
||
'open': 0.018585,
|
||
'close': 0.018573,
|
||
'last': 0.018799,
|
||
'baseVolume': 81058.66,
|
||
'quoteVolume': 2247.48374509,
|
||
},
|
||
'BLK/BTC': {
|
||
'symbol': 'BLK/BTC',
|
||
'timestamp': 1522014806072,
|
||
'datetime': '2018-03-25T21:53:26.720Z',
|
||
'high': 0.007745,
|
||
'low': 0.007512,
|
||
'bid': 0.007729,
|
||
'bidVolume': 0.01,
|
||
'ask': 0.007743,
|
||
'askVolume': 21.37,
|
||
'vwap': 0.00761466,
|
||
'open': 0.007653,
|
||
'close': 0.007652,
|
||
'first': None,
|
||
'last': 0.007743,
|
||
'change': 1.176,
|
||
'percentage': None,
|
||
'average': None,
|
||
'baseVolume': 295152.26,
|
||
'quoteVolume': 1515.14631229,
|
||
'info': {}
|
||
},
|
||
'LTC/BTC': {
|
||
'symbol': 'LTC/BTC',
|
||
'timestamp': 1523787258992,
|
||
'datetime': '2018-04-15T10:14:19.992Z',
|
||
'high': 0.015978,
|
||
'low': 0.0157,
|
||
'bid': 0.015954,
|
||
'bidVolume': 12.83,
|
||
'ask': 0.015957,
|
||
'askVolume': 0.49,
|
||
'vwap': 0.01581636,
|
||
'open': 0.015823,
|
||
'close': 0.01582,
|
||
'first': None,
|
||
'last': 0.015951,
|
||
'change': 0.809,
|
||
'percentage': None,
|
||
'average': None,
|
||
'baseVolume': 88620.68,
|
||
'quoteVolume': 1401.65697943,
|
||
'info': {}
|
||
},
|
||
'BTT/BTC': {
|
||
'symbol': 'BTT/BTC',
|
||
'timestamp': 1550936557206,
|
||
'datetime': '2019-02-23T15:42:37.206Z',
|
||
'high': 0.00000026,
|
||
'low': 0.00000024,
|
||
'bid': 0.00000024,
|
||
'bidVolume': 2446894197.0,
|
||
'ask': 0.00000025,
|
||
'askVolume': 2447913837.0,
|
||
'vwap': 0.00000025,
|
||
'open': 0.00000026,
|
||
'close': 0.00000024,
|
||
'last': 0.00000024,
|
||
'previousClose': 0.00000026,
|
||
'change': -0.00000002,
|
||
'percentage': -7.692,
|
||
'average': None,
|
||
'baseVolume': 4886464537.0,
|
||
'quoteVolume': 1215.14489611,
|
||
'info': {}
|
||
},
|
||
'ETH/USDT': {
|
||
'symbol': 'ETH/USDT',
|
||
'timestamp': 1522014804118,
|
||
'datetime': '2018-03-25T21:53:24.118Z',
|
||
'high': 530.88,
|
||
'low': 512.0,
|
||
'bid': 529.73,
|
||
'bidVolume': 0.2,
|
||
'ask': 530.21,
|
||
'askVolume': 0.2464,
|
||
'vwap': 521.02438405,
|
||
'open': 527.27,
|
||
'close': 528.42,
|
||
'first': None,
|
||
'last': 530.21,
|
||
'change': 0.558,
|
||
'percentage': None,
|
||
'average': None,
|
||
'baseVolume': 72300.0659,
|
||
'quoteVolume': 37670097.3022171,
|
||
'info': {}
|
||
},
|
||
'TKN/USDT': {
|
||
'symbol': 'TKN/USDT',
|
||
'timestamp': 1522014806198,
|
||
'datetime': '2018-03-25T21:53:26.198Z',
|
||
'high': 8718.0,
|
||
'low': 8365.77,
|
||
'bid': 8603.64,
|
||
'bidVolume': 0.15846,
|
||
'ask': 8603.67,
|
||
'askVolume': 0.069147,
|
||
'vwap': 8536.35621697,
|
||
'open': 8680.0,
|
||
'close': 8680.0,
|
||
'first': None,
|
||
'last': 8603.67,
|
||
'change': -0.879,
|
||
'percentage': None,
|
||
'average': None,
|
||
'baseVolume': 30414.604298,
|
||
'quoteVolume': 259629896.48584127,
|
||
'info': {}
|
||
},
|
||
'BLK/USDT': {
|
||
'symbol': 'BLK/USDT',
|
||
'timestamp': 1522014806145,
|
||
'datetime': '2018-03-25T21:53:26.145Z',
|
||
'high': 66.95,
|
||
'low': 63.38,
|
||
'bid': 66.473,
|
||
'bidVolume': 4.968,
|
||
'ask': 66.54,
|
||
'askVolume': 2.704,
|
||
'vwap': 65.0526901,
|
||
'open': 66.43,
|
||
'close': 66.383,
|
||
'first': None,
|
||
'last': 66.5,
|
||
'change': 0.105,
|
||
'percentage': None,
|
||
'average': None,
|
||
'baseVolume': 294106.204,
|
||
'quoteVolume': 19132399.743954,
|
||
'info': {}
|
||
},
|
||
'LTC/USDT': {
|
||
'symbol': 'LTC/USDT',
|
||
'timestamp': 1523787257812,
|
||
'datetime': '2018-04-15T10:14:18.812Z',
|
||
'high': 129.94,
|
||
'low': 124.0,
|
||
'bid': 129.28,
|
||
'bidVolume': 0.03201,
|
||
'ask': 129.52,
|
||
'askVolume': 0.14529,
|
||
'vwap': 126.92838682,
|
||
'open': 127.0,
|
||
'close': 127.1,
|
||
'first': None,
|
||
'last': 129.28,
|
||
'change': 1.795,
|
||
'percentage': None,
|
||
'average': None,
|
||
'baseVolume': 59698.79897,
|
||
'quoteVolume': 29132399.743954,
|
||
'info': {}
|
||
}
|
||
})
|
||
|
||
|
||
@pytest.fixture
|
||
def result(testdatadir):
|
||
with (testdatadir / 'UNITTEST_BTC-1m.json').open('r') as data_file:
|
||
return parse_ticker_dataframe(json.load(data_file), '1m', pair="UNITTEST/BTC",
|
||
fill_missing=True)
|
||
|
||
|
||
@pytest.fixture(scope="function")
|
||
def trades_for_order():
|
||
return [{'info': {'id': 34567,
|
||
'orderId': 123456,
|
||
'price': '0.24544100',
|
||
'qty': '8.00000000',
|
||
'commission': '0.00800000',
|
||
'commissionAsset': 'LTC',
|
||
'time': 1521663363189,
|
||
'isBuyer': True,
|
||
'isMaker': False,
|
||
'isBestMatch': True},
|
||
'timestamp': 1521663363189,
|
||
'datetime': '2018-03-21T20:16:03.189Z',
|
||
'symbol': 'LTC/ETH',
|
||
'id': '34567',
|
||
'order': '123456',
|
||
'type': None,
|
||
'side': 'buy',
|
||
'price': 0.245441,
|
||
'cost': 1.963528,
|
||
'amount': 8.0,
|
||
'fee': {'cost': 0.008, 'currency': 'LTC'}}]
|
||
|
||
|
||
@pytest.fixture(scope="function")
|
||
def trades_history():
|
||
return [{'info': {'a': 126181329,
|
||
'p': '0.01962700',
|
||
'q': '0.04000000',
|
||
'f': 138604155,
|
||
'l': 138604155,
|
||
'T': 1565798399463,
|
||
'm': False,
|
||
'M': True},
|
||
'timestamp': 1565798399463,
|
||
'datetime': '2019-08-14T15:59:59.463Z',
|
||
'symbol': 'ETH/BTC',
|
||
'id': '126181329',
|
||
'order': None,
|
||
'type': None,
|
||
'takerOrMaker': None,
|
||
'side': 'buy',
|
||
'price': 0.019627,
|
||
'amount': 0.04,
|
||
'cost': 0.00078508,
|
||
'fee': None},
|
||
{'info': {'a': 126181330,
|
||
'p': '0.01962700',
|
||
'q': '0.24400000',
|
||
'f': 138604156,
|
||
'l': 138604156,
|
||
'T': 1565798399629,
|
||
'm': False,
|
||
'M': True},
|
||
'timestamp': 1565798399629,
|
||
'datetime': '2019-08-14T15:59:59.629Z',
|
||
'symbol': 'ETH/BTC',
|
||
'id': '126181330',
|
||
'order': None,
|
||
'type': None,
|
||
'takerOrMaker': None,
|
||
'side': 'buy',
|
||
'price': 0.019627,
|
||
'amount': 0.244,
|
||
'cost': 0.004788987999999999,
|
||
'fee': None},
|
||
{'info': {'a': 126181331,
|
||
'p': '0.01962600',
|
||
'q': '0.01100000',
|
||
'f': 138604157,
|
||
'l': 138604157,
|
||
'T': 1565798399752,
|
||
'm': True,
|
||
'M': True},
|
||
'timestamp': 1565798399752,
|
||
'datetime': '2019-08-14T15:59:59.752Z',
|
||
'symbol': 'ETH/BTC',
|
||
'id': '126181331',
|
||
'order': None,
|
||
'type': None,
|
||
'takerOrMaker': None,
|
||
'side': 'sell',
|
||
'price': 0.019626,
|
||
'amount': 0.011,
|
||
'cost': 0.00021588599999999999,
|
||
'fee': None},
|
||
{'info': {'a': 126181332,
|
||
'p': '0.01962600',
|
||
'q': '0.01100000',
|
||
'f': 138604158,
|
||
'l': 138604158,
|
||
'T': 1565798399862,
|
||
'm': True,
|
||
'M': True},
|
||
'timestamp': 1565798399862,
|
||
'datetime': '2019-08-14T15:59:59.862Z',
|
||
'symbol': 'ETH/BTC',
|
||
'id': '126181332',
|
||
'order': None,
|
||
'type': None,
|
||
'takerOrMaker': None,
|
||
'side': 'sell',
|
||
'price': 0.019626,
|
||
'amount': 0.011,
|
||
'cost': 0.00021588599999999999,
|
||
'fee': None},
|
||
{'info': {'a': 126181333,
|
||
'p': '0.01952600',
|
||
'q': '0.01200000',
|
||
'f': 138604158,
|
||
'l': 138604158,
|
||
'T': 1565798399872,
|
||
'm': True,
|
||
'M': True},
|
||
'timestamp': 1565798399872,
|
||
'datetime': '2019-08-14T15:59:59.872Z',
|
||
'symbol': 'ETH/BTC',
|
||
'id': '126181333',
|
||
'order': None,
|
||
'type': None,
|
||
'takerOrMaker': None,
|
||
'side': 'sell',
|
||
'price': 0.019626,
|
||
'amount': 0.011,
|
||
'cost': 0.00021588599999999999,
|
||
'fee': None}]
|
||
|
||
|
||
@pytest.fixture(scope="function")
|
||
def trades_for_order2():
|
||
return [{'info': {'id': 34567,
|
||
'orderId': 123456,
|
||
'price': '0.24544100',
|
||
'qty': '8.00000000',
|
||
'commission': '0.00800000',
|
||
'commissionAsset': 'LTC',
|
||
'time': 1521663363189,
|
||
'isBuyer': True,
|
||
'isMaker': False,
|
||
'isBestMatch': True},
|
||
'timestamp': 1521663363189,
|
||
'datetime': '2018-03-21T20:16:03.189Z',
|
||
'symbol': 'LTC/ETH',
|
||
'id': '34567',
|
||
'order': '123456',
|
||
'type': None,
|
||
'side': 'buy',
|
||
'price': 0.245441,
|
||
'cost': 1.963528,
|
||
'amount': 4.0,
|
||
'fee': {'cost': 0.004, 'currency': 'LTC'}},
|
||
{'info': {'id': 34567,
|
||
'orderId': 123456,
|
||
'price': '0.24544100',
|
||
'qty': '8.00000000',
|
||
'commission': '0.00800000',
|
||
'commissionAsset': 'LTC',
|
||
'time': 1521663363189,
|
||
'isBuyer': True,
|
||
'isMaker': False,
|
||
'isBestMatch': True},
|
||
'timestamp': 1521663363189,
|
||
'datetime': '2018-03-21T20:16:03.189Z',
|
||
'symbol': 'LTC/ETH',
|
||
'id': '34567',
|
||
'order': '123456',
|
||
'type': None,
|
||
'side': 'buy',
|
||
'price': 0.245441,
|
||
'cost': 1.963528,
|
||
'amount': 4.0,
|
||
'fee': {'cost': 0.004, 'currency': 'LTC'}}]
|
||
|
||
|
||
@pytest.fixture
|
||
def buy_order_fee():
|
||
return {
|
||
'id': 'mocked_limit_buy_old',
|
||
'type': 'limit',
|
||
'side': 'buy',
|
||
'pair': 'mocked',
|
||
'datetime': str(arrow.utcnow().shift(minutes=-601).datetime),
|
||
'price': 0.245441,
|
||
'amount': 8.0,
|
||
'remaining': 90.99181073,
|
||
'status': 'closed',
|
||
'fee': None
|
||
}
|
||
|
||
|
||
@pytest.fixture(scope="function")
|
||
def edge_conf(default_conf):
|
||
conf = deepcopy(default_conf)
|
||
conf['max_open_trades'] = -1
|
||
conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
|
||
conf['edge'] = {
|
||
"enabled": True,
|
||
"process_throttle_secs": 1800,
|
||
"calculate_since_number_of_days": 14,
|
||
"capital_available_percentage": 0.5,
|
||
"allowed_risk": 0.01,
|
||
"stoploss_range_min": -0.01,
|
||
"stoploss_range_max": -0.1,
|
||
"stoploss_range_step": -0.01,
|
||
"maximum_winrate": 0.80,
|
||
"minimum_expectancy": 0.20,
|
||
"min_trade_number": 15,
|
||
"max_trade_duration_minute": 1440,
|
||
"remove_pumps": False
|
||
}
|
||
|
||
return conf
|
||
|
||
|
||
@pytest.fixture
|
||
def rpc_balance():
|
||
return {
|
||
'BTC': {
|
||
'total': 12.0,
|
||
'free': 12.0,
|
||
'used': 0.0
|
||
},
|
||
'ETH': {
|
||
'total': 0.0,
|
||
'free': 0.0,
|
||
'used': 0.0
|
||
},
|
||
'USDT': {
|
||
'total': 10000.0,
|
||
'free': 10000.0,
|
||
'used': 0.0
|
||
},
|
||
'LTC': {
|
||
'total': 10.0,
|
||
'free': 10.0,
|
||
'used': 0.0
|
||
},
|
||
'XRP': {
|
||
'total': 1.0,
|
||
'free': 1.0,
|
||
'used': 0.0
|
||
},
|
||
'EUR': {
|
||
'total': 10.0,
|
||
'free': 10.0,
|
||
'used': 0.0
|
||
},
|
||
}
|
||
|
||
|
||
@pytest.fixture
|
||
def testdatadir() -> Path:
|
||
"""Return the path where testdata files are stored"""
|
||
return (Path(__file__).parent / "testdata").resolve()
|
||
|
||
|
||
@pytest.fixture(scope="function")
|
||
def import_fails() -> None:
|
||
# Source of this test-method:
|
||
# https://stackoverflow.com/questions/2481511/mocking-importerror-in-python
|
||
import builtins
|
||
realimport = builtins.__import__
|
||
|
||
def mockedimport(name, *args, **kwargs):
|
||
if name in ["filelock"]:
|
||
raise ImportError(f"No module named '{name}'")
|
||
return realimport(name, *args, **kwargs)
|
||
|
||
builtins.__import__ = mockedimport
|
||
|
||
# Run test - then cleanup
|
||
yield
|
||
|
||
# restore previous importfunction
|
||
builtins.__import__ = realimport
|
||
|
||
|
||
@pytest.fixture(scope="function")
|
||
def open_trade():
|
||
return Trade(
|
||
pair='ETH/BTC',
|
||
open_rate=0.00001099,
|
||
exchange='bittrex',
|
||
open_order_id='123456789',
|
||
amount=90.99181073,
|
||
fee_open=0.0,
|
||
fee_close=0.0,
|
||
stake_amount=1,
|
||
open_date=arrow.utcnow().shift(minutes=-601).datetime,
|
||
is_open=True
|
||
)
|