test: use pytest fixture
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@ -3,6 +3,7 @@
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import logging
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import math
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import pandas as pd
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import pytest
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from unittest.mock import MagicMock
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from freqtrade import exchange, optimize
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from freqtrade.exchange import Bittrex
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@ -12,7 +13,8 @@ import freqtrade.optimize.backtesting as backtesting
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from freqtrade.strategy.strategy import Strategy
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def setup_strategy():
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@pytest.fixture
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def default_strategy():
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strategy = Strategy()
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strategy.init({'strategy': 'default_strategy'})
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return strategy
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@ -44,7 +46,7 @@ def test_generate_text_table():
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'TOTAL 2 15.00 0.60000000 100.0 2 0') # noqa
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def test_get_timeframe():
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def test_get_timeframe(default_strategy):
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data = preprocess(optimize.load_data(
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None, ticker_interval=1, pairs=['BTC_UNITEST']))
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min_date, max_date = get_timeframe(data)
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@ -52,8 +54,7 @@ def test_get_timeframe():
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assert max_date.isoformat() == '2017-11-14T22:59:00+00:00'
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def test_backtest(default_conf, mocker):
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setup_strategy()
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def test_backtest(default_strategy, default_conf, mocker):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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exchange._API = Bittrex({'key': '', 'secret': ''})
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@ -66,10 +67,9 @@ def test_backtest(default_conf, mocker):
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assert not results.empty
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def test_backtest_1min_ticker_interval(default_conf, mocker):
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def test_backtest_1min_ticker_interval(default_strategy, default_conf, mocker):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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exchange._API = Bittrex({'key': '', 'secret': ''})
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setup_strategy()
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# Run a backtesting for an exiting 5min ticker_interval
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data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'])
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@ -125,7 +125,6 @@ def load_data_test(what):
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def simple_backtest(config, contour, num_results):
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setup_strategy()
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data = load_data_test(contour)
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processed = optimize.preprocess(data)
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assert isinstance(processed, dict)
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@ -141,8 +140,7 @@ def simple_backtest(config, contour, num_results):
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# loaded by freqdata/optimize/__init__.py::load_data()
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def test_backtest2(default_conf, mocker):
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setup_strategy()
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def test_backtest2(default_conf, mocker, default_strategy):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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data = optimize.load_data(None, ticker_interval=5, pairs=['BTC_ETH'])
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data = trim_dictlist(data, -200)
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@ -153,8 +151,7 @@ def test_backtest2(default_conf, mocker):
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assert not results.empty
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def test_processed(default_conf, mocker):
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setup_strategy()
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def test_processed(default_conf, mocker, default_strategy):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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dict_of_tickerrows = load_data_test('raise')
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dataframes = optimize.preprocess(dict_of_tickerrows)
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@ -166,7 +163,7 @@ def test_processed(default_conf, mocker):
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assert col in cols
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def test_backtest_pricecontours(default_conf, mocker):
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def test_backtest_pricecontours(default_conf, mocker, default_strategy):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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tests = [['raise', 17], ['lower', 0], ['sine', 17]]
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for [contour, numres] in tests:
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