# pragma pylint: disable=missing-docstring import json import logging from datetime import datetime from functools import reduce from unittest.mock import MagicMock import arrow import pytest from jsonschema import validate from sqlalchemy import create_engine from telegram import Chat, Message, Update from freqtrade.analyze import Analyze from freqtrade.constants import Constants from freqtrade.freqtradebot import FreqtradeBot logging.getLogger('').setLevel(logging.INFO) def log_has(line, logs): # caplog mocker returns log as a tuple: ('freqtrade.analyze', 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) # Functions for recurrent object patching def get_patched_freqtradebot(mocker, config) -> FreqtradeBot: """ 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.fiat_convert.Market', {'price_usd': 12345.0}) mocker.patch('freqtrade.freqtradebot.Analyze', MagicMock()) mocker.patch('freqtrade.freqtradebot.RPCManager', MagicMock()) mocker.patch('freqtrade.freqtradebot.persistence.init', MagicMock()) mocker.patch('freqtrade.freqtradebot.exchange.init', MagicMock()) mocker.patch('freqtrade.freqtradebot.RPCManager._init', MagicMock()) mocker.patch('freqtrade.freqtradebot.RPCManager.send_msg', MagicMock()) mocker.patch('freqtrade.freqtradebot.Analyze.get_signal', MagicMock()) return FreqtradeBot(config, create_engine('sqlite://')) @pytest.fixture(scope="module") 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": 600, "bid_strategy": { "ask_last_balance": 0.0 }, "exchange": { "name": "bittrex", "enabled": True, "key": "key", "secret": "secret", "pair_whitelist": [ "ETH/BTC", "TKN/BTC", "TRST/BTC", "SWT/BTC", "BCC/BTC" ] }, "telegram": { "enabled": True, "token": "token", "chat_id": "0" }, "initial_state": "running", "loglevel": logging.DEBUG } validate(configuration, Constants.CONF_SCHEMA) return configuration @pytest.fixture def update(): _update = Update(0) _update.message = Message(0, 0, datetime.utcnow(), Chat(0, 0)) return _update @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 MagicMock(return_value=[ { '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': 500000, }, 'info': '', }, { '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': 500000, }, 'info': '', }, { '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': 500000, }, 'info': '', } ]) @pytest.fixture def markets_empty(): return MagicMock(return_value=[]) @pytest.fixture 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 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 ticker_history_api(): 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, ], [ 1511686800, 8.891e-05, 8.893e-05, 8.875e-05, 8.877e-05, 0.7039405 ] ] @pytest.fixture def ticker_history(): return [ { "O": 8.794e-05, "H": 8.948e-05, "L": 8.794e-05, "C": 8.88e-05, "V": 991.09056638, "T": "2017-11-26T08:50:00", "BV": 0.0877869 }, { "O": 8.88e-05, "H": 8.942e-05, "L": 8.88e-05, "C": 8.893e-05, "V": 658.77935965, "T": "2017-11-26T08:55:00", "BV": 0.05874751 }, { "O": 8.891e-05, "H": 8.893e-05, "L": 8.875e-05, "C": 8.877e-05, "V": 7920.73570705, "T": "2017-11-26T09:00:00", "BV": 0.7039405 } ] @pytest.fixture def ticker_history_without_bv(): return [ { "O": 8.794e-05, "H": 8.948e-05, "L": 8.794e-05, "C": 8.88e-05, "V": 991.09056638, "T": "2017-11-26T08:50:00" }, { "O": 8.88e-05, "H": 8.942e-05, "L": 8.88e-05, "C": 8.893e-05, "V": 658.77935965, "T": "2017-11-26T08:55:00" }, { "O": 8.891e-05, "H": 8.893e-05, "L": 8.875e-05, "C": 8.877e-05, "V": 7920.73570705, "T": "2017-11-26T09:00:00" } ] @pytest.fixture def result(): with open('freqtrade/tests/testdata/UNITTEST_BTC-1m.json') as data_file: return Analyze.parse_ticker_dataframe(json.load(data_file)) # 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