Implement missing_data_fillup to tests and operations
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@@ -75,7 +75,7 @@ def load_data_test(what):
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pair[x][5] # Keep old volume
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] for x in range(0, datalen)
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]
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return {'UNITTEST/BTC': parse_ticker_dataframe(data)}
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return {'UNITTEST/BTC': parse_ticker_dataframe(data, '1m', fill_missing=True)}
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def simple_backtest(config, contour, num_results, mocker) -> None:
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@@ -104,7 +104,7 @@ def simple_backtest(config, contour, num_results, mocker) -> None:
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def mocked_load_data(datadir, pairs=[], ticker_interval='0m', refresh_pairs=False,
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timerange=None, exchange=None):
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tickerdata = history.load_tickerdata_file(datadir, 'UNITTEST/BTC', '1m', timerange=timerange)
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pairdata = {'UNITTEST/BTC': parse_ticker_dataframe(tickerdata)}
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pairdata = {'UNITTEST/BTC': parse_ticker_dataframe(tickerdata, '1m', fill_missing=True)}
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return pairdata
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@@ -322,15 +322,15 @@ def test_backtesting_init(mocker, default_conf) -> None:
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assert backtesting.fee == 0.5
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def test_tickerdata_to_dataframe(default_conf, mocker) -> None:
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def test_tickerdata_to_dataframe_bt(default_conf, mocker) -> None:
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patch_exchange(mocker)
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timerange = TimeRange(None, 'line', 0, -100)
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tick = history.load_tickerdata_file(None, 'UNITTEST/BTC', '1m', timerange=timerange)
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick)}
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick, '1m', fill_missing=True)}
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backtesting = Backtesting(default_conf)
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data = backtesting.strategy.tickerdata_to_dataframe(tickerlist)
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assert len(data['UNITTEST/BTC']) == 99
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assert len(data['UNITTEST/BTC']) == 102
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# Load strategy to compare the result between Backtesting function and strategy are the same
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strategy = DefaultStrategy(default_conf)
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@@ -593,7 +593,7 @@ def test_processed(default_conf, mocker) -> None:
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def test_backtest_pricecontours(default_conf, fee, mocker) -> None:
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mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
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tests = [['raise', 18], ['lower', 0], ['sine', 19]]
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tests = [['raise', 19], ['lower', 0], ['sine', 18]]
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# We need to enable sell-signal - otherwise it sells on ROI!!
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default_conf['experimental'] = {"use_sell_signal": True}
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@@ -243,7 +243,7 @@ def test_has_space(hyperopt):
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def test_populate_indicators(hyperopt) -> None:
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick)}
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick, '1m', fill_missing=True)}
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dataframes = hyperopt.strategy.tickerdata_to_dataframe(tickerlist)
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dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
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{'pair': 'UNITTEST/BTC'})
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@@ -256,7 +256,7 @@ def test_populate_indicators(hyperopt) -> None:
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def test_buy_strategy_generator(hyperopt) -> None:
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tick = load_tickerdata_file(None, 'UNITTEST/BTC', '1m')
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick)}
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tickerlist = {'UNITTEST/BTC': parse_ticker_dataframe(tick, '1m', fill_missing=True)}
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dataframes = hyperopt.strategy.tickerdata_to_dataframe(tickerlist)
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dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
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{'pair': 'UNITTEST/BTC'})
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@@ -30,7 +30,8 @@ def test_validate_backtest_data_warn(default_conf, mocker, caplog) -> None:
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history.load_data(
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datadir=None,
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ticker_interval='1m',
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pairs=['UNITTEST/BTC']
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pairs=['UNITTEST/BTC'],
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fill_up_missing=False
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)
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)
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min_date, max_date = optimize.get_timeframe(data)
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