Use joblib instead of pickle, add signal candle read/write test, move docs to new Advanced Backtesting doc
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@@ -2,6 +2,7 @@ import re
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from datetime import timedelta
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from pathlib import Path
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import joblib
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import pandas as pd
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import pytest
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from arrow import Arrow
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@@ -204,23 +205,58 @@ def test_store_backtest_stats(testdatadir, mocker):
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def test_store_backtest_candles(testdatadir, mocker):
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dump_mock = mocker.patch('freqtrade.optimize.optimize_reports.file_dump_pickle')
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dump_mock = mocker.patch('freqtrade.optimize.optimize_reports.file_dump_joblib')
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# test directory exporting
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store_backtest_signal_candles(testdatadir, {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}})
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candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
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# mock directory exporting
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store_backtest_signal_candles(testdatadir, candle_dict)
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assert dump_mock.call_count == 1
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assert isinstance(dump_mock.call_args_list[0][0][0], Path)
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assert str(dump_mock.call_args_list[0][0][0]).endswith(str('_signals.pkl'))
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dump_mock.reset_mock()
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# test file exporting
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filename = testdatadir / 'testresult'
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store_backtest_signal_candles(filename, {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}})
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# mock file exporting
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filename = Path(testdatadir / 'testresult')
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store_backtest_signal_candles(filename, candle_dict)
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assert dump_mock.call_count == 1
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assert isinstance(dump_mock.call_args_list[0][0][0], Path)
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# result will be testdatadir / testresult-<timestamp>_signals.pkl
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assert str(dump_mock.call_args_list[0][0][0]).endswith(str('_signals.pkl'))
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dump_mock.reset_mock()
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def test_write_read_backtest_candles(tmpdir):
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candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
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# test directory exporting
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stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict)
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scp = open(stored_file, "rb")
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pickled_signal_candles = joblib.load(scp)
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scp.close()
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assert pickled_signal_candles.keys() == candle_dict.keys()
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assert pickled_signal_candles['DefStrat'].keys() == pickled_signal_candles['DefStrat'].keys()
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assert pickled_signal_candles['DefStrat']['UNITTEST/BTC'] \
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.equals(pickled_signal_candles['DefStrat']['UNITTEST/BTC'])
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_clean_test_file(stored_file)
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# test file exporting
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filename = Path(tmpdir / 'testresult')
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stored_file = store_backtest_signal_candles(filename, candle_dict)
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scp = open(stored_file, "rb")
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pickled_signal_candles = joblib.load(scp)
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scp.close()
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assert pickled_signal_candles.keys() == candle_dict.keys()
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assert pickled_signal_candles['DefStrat'].keys() == pickled_signal_candles['DefStrat'].keys()
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assert pickled_signal_candles['DefStrat']['UNITTEST/BTC'] \
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.equals(pickled_signal_candles['DefStrat']['UNITTEST/BTC'])
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_clean_test_file(stored_file)
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def test_generate_pair_metrics():
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