Better test hyperopt writing and reading
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@ -31,23 +31,7 @@ from .hyperopts.default_hyperopt import DefaultHyperOpt
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# Functions for recurrent object patching
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def create_results(mocker, hyperopt, testdatadir) -> List[Dict]:
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"""
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When creating results, mock the hyperopt so that *by default*
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- we don't create any pickle'd files in the filesystem
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- we might have a pickle'd file so make sure that we return
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false when looking for it
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"""
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hyperopt.results_file = testdatadir / 'optimize/ut_results.pickle'
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mocker.patch.object(Path, "is_file", MagicMock(return_value=False))
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stat_mock = MagicMock()
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stat_mock.st_size = 1
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mocker.patch.object(Path, "stat", MagicMock(return_value=stat_mock))
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mocker.patch.object(Path, "unlink", MagicMock(return_value=True))
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mocker.patch('freqtrade.optimize.hyperopt.dump', return_value=None)
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mocker.patch('freqtrade.optimize.hyperopt.file_dump_json')
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def create_results() -> List[Dict]:
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return [{'loss': 1, 'result': 'foo', 'params': {}, 'is_best': True}]
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@ -321,54 +305,49 @@ def test_no_log_if_loss_does_not_improve(hyperopt, caplog) -> None:
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assert caplog.record_tuples == []
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def test_save_results_saves_epochs(mocker, hyperopt, testdatadir, caplog) -> None:
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epochs = create_results(mocker, hyperopt, testdatadir)
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mock_dump = mocker.patch('freqtrade.optimize.hyperopt.dump', return_value=None)
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mock_dump_json = mocker.patch('freqtrade.optimize.hyperopt.file_dump_json', return_value=None)
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results_file = testdatadir / 'optimize' / 'ut_results.pickle'
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def test_save_results_saves_epochs(mocker, hyperopt, tmpdir, caplog) -> None:
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# Test writing to temp dir and reading again
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epochs = create_results()
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hyperopt.results_file = Path(tmpdir / 'ut_results.fthypt')
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caplog.set_level(logging.DEBUG)
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hyperopt.epochs = epochs
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hyperopt._save_results()
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assert log_has(f"1 epoch saved to '{results_file}'.", caplog)
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mock_dump.assert_called_once()
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mock_dump_json.assert_called_once()
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for epoch in epochs:
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hyperopt._save_result(epoch)
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assert log_has(f"1 epoch saved to '{hyperopt.results_file}'.", caplog)
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hyperopt.epochs = epochs + epochs
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hyperopt._save_results()
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assert log_has(f"2 epochs saved to '{results_file}'.", caplog)
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hyperopt._save_result(epochs[0])
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assert log_has(f"2 epochs saved to '{hyperopt.results_file}'.", caplog)
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hyperopt_epochs = HyperoptTools.load_previous_results(hyperopt.results_file)
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assert len(hyperopt_epochs) == 2
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def test_read_results_returns_epochs(mocker, hyperopt, testdatadir, caplog) -> None:
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epochs = create_results(mocker, hyperopt, testdatadir)
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mock_load = mocker.patch('joblib.load', return_value=epochs)
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results_file = testdatadir / 'optimize' / 'ut_results.pickle'
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hyperopt_epochs = HyperoptTools._read_results(results_file)
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assert log_has(f"Reading epochs from '{results_file}'", caplog)
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assert hyperopt_epochs == epochs
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mock_load.assert_called_once()
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def test_load_previous_results(testdatadir, caplog) -> None:
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def test_load_previous_results(mocker, hyperopt, testdatadir, caplog) -> None:
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epochs = create_results(mocker, hyperopt, testdatadir)
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mock_load = mocker.patch('joblib.load', return_value=epochs)
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mocker.patch.object(Path, 'is_file', MagicMock(return_value=True))
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statmock = MagicMock()
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statmock.st_size = 5
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# mocker.patch.object(Path, 'stat', MagicMock(return_value=statmock))
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results_file = testdatadir / 'optimize' / 'ut_results.pickle'
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results_file = testdatadir / 'hyperopt_results_SampleStrategy.pickle'
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hyperopt_epochs = HyperoptTools.load_previous_results(results_file)
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assert hyperopt_epochs == epochs
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mock_load.assert_called_once()
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assert len(hyperopt_epochs) == 5
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assert log_has_re(r"Reading pickled epochs from .*", caplog)
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del epochs[0]['is_best']
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mock_load = mocker.patch('joblib.load', return_value=epochs)
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caplog.clear()
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with pytest.raises(OperationalException):
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# Modern version
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results_file = testdatadir / 'strategy_SampleStrategy.fthypt'
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hyperopt_epochs = HyperoptTools.load_previous_results(results_file)
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assert len(hyperopt_epochs) == 5
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assert log_has_re(r"Reading epochs from .*", caplog)
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def test_load_previous_results2(mocker, testdatadir, caplog) -> None:
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mocker.patch('freqtrade.optimize.hyperopt_tools.HyperoptTools._read_results_pickle',
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return_value=[{'asdf': '222'}])
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results_file = testdatadir / 'hyperopt_results_SampleStrategy.pickle'
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with pytest.raises(OperationalException, match=r"The file .* incompatible.*"):
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HyperoptTools.load_previous_results(results_file)
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@ -1,5 +1,5 @@
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import re
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from datetime import datetime, timedelta, timezone
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from datetime import timedelta
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from pathlib import Path
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import pandas as pd
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tests/testdata/hyperopt_results_SampleStrategy.pickle
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tests/testdata/hyperopt_results_SampleStrategy.pickle
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tests/testdata/strategy_SampleStrategy.fthypt
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tests/testdata/strategy_SampleStrategy.fthypt
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