# pragma pylint: disable=missing-docstring
import json
import logging
import re
from copy import deepcopy
from datetime import datetime
from functools import reduce
from pathlib import Path
from typing import List
from unittest.mock import MagicMock, PropertyMock

import arrow
import pytest
from telegram import Chat, Message, Update

from freqtrade import constants, persistence
from freqtrade.configuration import Arguments
from freqtrade.data.converter import parse_ticker_dataframe
from freqtrade.edge import Edge, PairInfo
from freqtrade.exchange import Exchange
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.resolvers import ExchangeResolver
from freqtrade.worker import Worker


logging.getLogger('').setLevel(logging.INFO)


def log_has(line, logs):
    # caplog mocker returns log as a tuple: ('freqtrade.something', logging.WARNING, 'foobar')
    # and we want to match line against foobar in the tuple
    return reduce(lambda a, b: a or b,
                  filter(lambda x: x[2] == line, logs),
                  False)


def log_has_re(line, logs):
    return reduce(lambda a, b: a or b,
                  filter(lambda x: re.match(line, x[2]), logs),
                  False)


def get_args(args):
    return Arguments(args, '').get_parsed_arg()


def patch_exchange(mocker, api_mock=None, id='bittrex') -> None:
    mocker.patch('freqtrade.exchange.Exchange._load_markets', MagicMock(return_value={}))
    mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
    mocker.patch('freqtrade.exchange.Exchange.validate_timeframes', MagicMock())
    mocker.patch('freqtrade.exchange.Exchange.validate_ordertypes', MagicMock())
    mocker.patch('freqtrade.exchange.Exchange.id', PropertyMock(return_value=id))
    mocker.patch('freqtrade.exchange.Exchange.name', PropertyMock(return_value=id.title()))

    if api_mock:
        mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
    else:
        mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock())


def get_patched_exchange(mocker, config, api_mock=None, id='bittrex') -> Exchange:
    patch_exchange(mocker, api_mock, id)
    config["exchange"]["name"] = id
    try:
        exchange = ExchangeResolver(id, config).exchange
    except ImportError:
        exchange = Exchange(config)
    return exchange


def patch_wallet(mocker, free=999.9) -> None:
    mocker.patch('freqtrade.wallets.Wallets.get_free', MagicMock(
        return_value=free
    ))


def patch_edge(mocker) -> None:
    # "ETH/BTC",
    # "LTC/BTC",
    # "XRP/BTC",
    # "NEO/BTC"

    mocker.patch('freqtrade.edge.Edge._cached_pairs', mocker.PropertyMock(
        return_value={
            'NEO/BTC': PairInfo(-0.20, 0.66, 3.71, 0.50, 1.71, 10, 25),
            'LTC/BTC': PairInfo(-0.21, 0.66, 3.71, 0.50, 1.71, 11, 20),
        }
    ))
    mocker.patch('freqtrade.edge.Edge.calculate', MagicMock(return_value=True))


def get_patched_edge(mocker, config) -> Edge:
    patch_edge(mocker)
    edge = Edge(config)
    return edge

# Functions for recurrent object patching


def patch_freqtradebot(mocker, config) -> None:
    """
    This function patch _init_modules() to not call dependencies
    :param mocker: a Mocker object to apply patches
    :param config: Config to pass to the bot
    :return: None
    """
    mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock())
    persistence.init(config['db_url'])
    patch_exchange(mocker, None)
    mocker.patch('freqtrade.freqtradebot.RPCManager._init', MagicMock())
    mocker.patch('freqtrade.freqtradebot.RPCManager.send_msg', MagicMock())


def get_patched_freqtradebot(mocker, config) -> FreqtradeBot:
    """
    This function patches _init_modules() to not call dependencies
    :param mocker: a Mocker object to apply patches
    :param config: Config to pass to the bot
    :return: FreqtradeBot
    """
    patch_freqtradebot(mocker, config)
    return FreqtradeBot(config)


def get_patched_worker(mocker, config) -> Worker:
    """
    This function patches _init_modules() to not call dependencies
    :param mocker: a Mocker object to apply patches
    :param config: Config to pass to the bot
    :return: Worker
    """
    patch_freqtradebot(mocker, config)
    return Worker(args=None, config=config)


def patch_get_signal(freqtrade: FreqtradeBot, value=(True, False)) -> None:
    """
    :param mocker: mocker to patch IStrategy class
    :param value: which value IStrategy.get_signal() must return
    :return: None
    """
    freqtrade.strategy.get_signal = lambda e, s, t: value
    freqtrade.exchange.refresh_latest_ohlcv = lambda p: None


@pytest.fixture(autouse=True)
def patch_coinmarketcap(mocker) -> None:
    """
    Mocker to coinmarketcap to speed up tests
    :param mocker: mocker to patch coinmarketcap class
    :return: None
    """

    tickermock = MagicMock(return_value={'price_usd': 12345.0})
    listmock = MagicMock(return_value={'data': [{'id': 1, 'name': 'Bitcoin', 'symbol': 'BTC',
                                                 'website_slug': 'bitcoin'},
                                                {'id': 1027, 'name': 'Ethereum', 'symbol': 'ETH',
                                                 'website_slug': 'ethereum'}
                                                ]})
    mocker.patch.multiple(
        'freqtrade.rpc.fiat_convert.Market',
        ticker=tickermock,
        listings=listmock,

    )


@pytest.fixture(scope='function')
def init_persistence(default_conf):
    persistence.init(default_conf['db_url'], default_conf['dry_run'])


@pytest.fixture(scope="function")
def default_conf():
    """ Returns validated configuration suitable for most tests """
    configuration = {
        "max_open_trades": 1,
        "stake_currency": "BTC",
        "stake_amount": 0.001,
        "fiat_display_currency": "USD",
        "ticker_interval": '5m',
        "dry_run": True,
        "minimal_roi": {
            "40": 0.0,
            "30": 0.01,
            "20": 0.02,
            "0": 0.04
        },
        "stoploss": -0.10,
        "unfilledtimeout": {
            "buy": 10,
            "sell": 30
        },
        "bid_strategy": {
            "ask_last_balance": 0.0,
            "use_order_book": False,
            "order_book_top": 1,
            "check_depth_of_market": {
                "enabled": False,
                "bids_to_ask_delta": 1
            }
        },
        "ask_strategy": {
            "use_order_book": False,
            "order_book_min": 1,
            "order_book_max": 1
        },
        "exchange": {
            "name": "bittrex",
            "enabled": True,
            "key": "key",
            "secret": "secret",
            "pair_whitelist": [
                "ETH/BTC",
                "LTC/BTC",
                "XRP/BTC",
                "NEO/BTC"
            ],
            "pair_blacklist": [
                "DOGE/BTC",
                "HOT/BTC",
            ]
        },
        "telegram": {
            "enabled": True,
            "token": "token",
            "chat_id": "0"
        },
        "initial_state": "running",
        "db_url": "sqlite://",
        "verbosity": 3,
    }
    return configuration


@pytest.fixture
def update():
    _update = Update(0)
    _update.message = Message(0, 0, datetime.utcnow(), Chat(0, 0))
    return _update


@pytest.fixture
def fee():
    return MagicMock(return_value=0.0025)


@pytest.fixture
def ticker():
    return MagicMock(return_value={
        'bid': 0.00001098,
        'ask': 0.00001099,
        'last': 0.00001098,
    })


@pytest.fixture
def ticker_sell_up():
    return MagicMock(return_value={
        'bid': 0.00001172,
        'ask': 0.00001173,
        'last': 0.00001172,
    })


@pytest.fixture
def ticker_sell_down():
    return MagicMock(return_value={
        'bid': 0.00001044,
        'ask': 0.00001043,
        'last': 0.00001044,
    })


@pytest.fixture
def markets():
    return {
        'ETH/BTC': {
            'id': 'ethbtc',
            'symbol': 'ETH/BTC',
            'base': 'ETH',
            'quote': 'BTC',
            'active': True,
            'precision': {
                'price': 8,
                'amount': 8,
                'cost': 8,
            },
            'lot': 0.00000001,
            'limits': {
                'amount': {
                    'min': 0.01,
                    'max': 1000,
                },
                'price': 500000,
                'cost': {
                    'min': 1,
                    'max': 500000,
                },
            },
            'info': '',
        },
        'TKN/BTC': {
            'id': 'tknbtc',
            'symbol': 'TKN/BTC',
            'base': 'TKN',
            'quote': 'BTC',
            'active': True,
            'precision': {
                'price': 8,
                'amount': 8,
                'cost': 8,
            },
            'lot': 0.00000001,
            'limits': {
                'amount': {
                    'min': 0.01,
                    'max': 1000,
                },
                'price': 500000,
                'cost': {
                    'min': 1,
                    'max': 500000,
                },
            },
            'info': '',
        },
        'BLK/BTC': {
            'id': 'blkbtc',
            'symbol': 'BLK/BTC',
            'base': 'BLK',
            'quote': 'BTC',
            'active': True,
            'precision': {
                'price': 8,
                'amount': 8,
                'cost': 8,
            },
            'lot': 0.00000001,
            'limits': {
                'amount': {
                    'min': 0.01,
                    'max': 1000,
                },
                'price': 500000,
                'cost': {
                    'min': 1,
                    'max': 500000,
                },
            },
            'info': '',
        },
        'LTC/BTC': {
            'id': 'ltcbtc',
            'symbol': 'LTC/BTC',
            'base': 'LTC',
            'quote': 'BTC',
            'active': False,
            'precision': {
                'price': 8,
                'amount': 8,
                'cost': 8,
            },
            'lot': 0.00000001,
            'limits': {
                'amount': {
                    'min': 0.01,
                    'max': 1000,
                },
                'price': 500000,
                'cost': {
                    'min': 1,
                    'max': 500000,
                },
            },
            'info': '',
        },
        'XRP/BTC': {
            'id': 'xrpbtc',
            'symbol': 'XRP/BTC',
            'base': 'XRP',
            'quote': 'BTC',
            'active': False,
            'precision': {
                'price': 8,
                'amount': 8,
                'cost': 8,
            },
            'lot': 0.00000001,
            'limits': {
                'amount': {
                    'min': 0.01,
                    'max': 1000,
                },
                'price': 500000,
                'cost': {
                    'min': 1,
                    'max': 500000,
                },
            },
            'info': '',
        },
        'NEO/BTC': {
            'id': 'neobtc',
            'symbol': 'NEO/BTC',
            'base': 'NEO',
            'quote': 'BTC',
            'active': False,
            'precision': {
                'price': 8,
                'amount': 8,
                'cost': 8,
            },
            'lot': 0.00000001,
            'limits': {
                'amount': {
                    'min': 0.01,
                    'max': 1000,
                },
                'price': 500000,
                'cost': {
                    'min': 1,
                    'max': 500000,
                },
            },
            'info': '',
        },
        'BTT/BTC': {
            'id': 'BTTBTC',
            'symbol': 'BTT/BTC',
            'base': 'BTT',
            'quote': 'BTC',
            'active': True,
            'precision': {
                'base': 8,
                'quote': 8,
                'amount': 0,
                'price': 8
            },
            'limits': {
                'amount': {
                    'min': 1.0,
                    'max': 90000000.0
                },
                'price': {
                    'min': None,
                    'max': None
                },
                'cost': {
                    'min': 0.001,
                    'max': None
                }
            },
            'info': "",
        },
        'ETH/USDT': {
            'id': 'USDT-ETH',
            'symbol': 'ETH/USDT',
            'base': 'ETH',
            'quote': 'USDT',
            'precision': {
                'amount': 8,
                'price': 8
            },
            'limits': {
                'amount': {
                    'min': 0.02214286,
                    'max': None
                },
                'price': {
                    'min': 1e-08,
                    'max': None
                }
            },
            'active': True,
            'info': ""
        },
        'LTC/USDT': {
            'id': 'USDT-LTC',
            'symbol': 'LTC/USDT',
            '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_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():
    with Path('freqtrade/tests/testdata/UNITTEST_BTC-1m.json').open('r') as data_file:
        return parse_ticker_dataframe(json.load(data_file), '1m', pair="UNITTEST/BTC",
                                      fill_missing=True)

# FIX:
# Create an fixture/function
# that inserts a trade of some type and open-status
# return the open-order-id
# See tests in rpc/main that could use this


@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_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
        },
    }