Add test to ensure --hyperopt-loss is mandatory
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.github/workflows/ci.yml
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2
.github/workflows/ci.yml
vendored
@ -154,7 +154,7 @@ jobs:
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run: |
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run: |
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cp config.json.example config.json
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cp config.json.example config.json
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freqtrade create-userdir --userdir user_data
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freqtrade create-userdir --userdir user_data
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freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt --print-all
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freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt --hyperopt-loss SharpeHyperOptLossDaily --print-all
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- name: Flake8
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- name: Flake8
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run: |
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run: |
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@ -82,8 +82,4 @@ class HyperOptLossResolver(IResolver):
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hyperoptloss.__class__.ticker_interval = str(config['timeframe'])
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hyperoptloss.__class__.ticker_interval = str(config['timeframe'])
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hyperoptloss.__class__.timeframe = str(config['timeframe'])
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hyperoptloss.__class__.timeframe = str(config['timeframe'])
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if not hasattr(hyperoptloss, 'hyperopt_loss_function'):
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raise OperationalException(
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f"Found HyperoptLoss class {hyperoptloss_name} does not "
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"implement `hyperopt_loss_function`.")
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return hyperoptloss
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return hyperoptloss
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@ -230,6 +230,13 @@ def test_hyperoptresolver_noname(default_conf):
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HyperOptResolver.load_hyperopt(default_conf)
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HyperOptResolver.load_hyperopt(default_conf)
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def test_hyperoptlossresolver_noname(default_conf):
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with pytest.raises(OperationalException,
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match="No Hyperopt loss set. Please use `--hyperopt-loss` to specify "
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"the Hyperopt-Loss class to use."):
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HyperOptLossResolver.load_hyperoptloss(default_conf)
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def test_hyperoptlossresolver(mocker, default_conf) -> None:
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def test_hyperoptlossresolver(mocker, default_conf) -> None:
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hl = DefaultHyperOptLoss
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hl = DefaultHyperOptLoss
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