Merge pull request #6723 from freqtrade/strategy_v1_remove
Strategy v1 remove
This commit is contained in:
commit
f45bafdb16
@ -217,15 +217,19 @@ class StrategyResolver(IResolver):
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raise OperationalException(
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"`populate_exit_trend` or `populate_sell_trend` must be implemented.")
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strategy._populate_fun_len = len(getfullargspec(strategy.populate_indicators).args)
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strategy._buy_fun_len = len(getfullargspec(strategy.populate_buy_trend).args)
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strategy._sell_fun_len = len(getfullargspec(strategy.populate_sell_trend).args)
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_populate_fun_len = len(getfullargspec(strategy.populate_indicators).args)
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_buy_fun_len = len(getfullargspec(strategy.populate_buy_trend).args)
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_sell_fun_len = len(getfullargspec(strategy.populate_sell_trend).args)
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if any(x == 2 for x in [
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strategy._populate_fun_len,
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strategy._buy_fun_len,
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strategy._sell_fun_len
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_populate_fun_len,
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_buy_fun_len,
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_sell_fun_len
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]):
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strategy.INTERFACE_VERSION = 1
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raise OperationalException(
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"Strategy Interface v1 is no longer supported. "
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"Please update your strategy to implement "
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"`populate_indicators`, `populate_entry_trend` and `populate_exit_trend` "
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"with the metadata argument. ")
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return strategy
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@staticmethod
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@ -3,7 +3,6 @@ IStrategy interface
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This module defines the interface to apply for strategies
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"""
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import logging
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import warnings
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from abc import ABC, abstractmethod
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from datetime import datetime, timedelta, timezone
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from typing import Dict, List, Optional, Tuple, Union
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@ -44,14 +43,11 @@ class IStrategy(ABC, HyperStrategyMixin):
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"""
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# Strategy interface version
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# Default to version 2
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# Version 1 is the initial interface without metadata dict
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# Version 1 is the initial interface without metadata dict - deprecated and no longer supported.
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# Version 2 populate_* include metadata dict
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# Version 3 - First version with short and leverage support
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INTERFACE_VERSION: int = 3
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_populate_fun_len: int = 0
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_buy_fun_len: int = 0
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_sell_fun_len: int = 0
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_ft_params_from_file: Dict
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# associated minimal roi
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minimal_roi: Dict = {}
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@ -1090,12 +1086,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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dataframe = _create_and_merge_informative_pair(
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self, dataframe, metadata, inf_data, populate_fn)
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if self._populate_fun_len == 2:
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warnings.warn("deprecated - check out the Sample strategy to see "
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"the current function headers!", DeprecationWarning)
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return self.populate_indicators(dataframe) # type: ignore
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else:
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return self.populate_indicators(dataframe, metadata)
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return self.populate_indicators(dataframe, metadata)
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def advise_entry(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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"""
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@ -1109,12 +1100,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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logger.debug(f"Populating enter signals for pair {metadata.get('pair')}.")
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if self._buy_fun_len == 2:
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warnings.warn("deprecated - check out the Sample strategy to see "
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"the current function headers!", DeprecationWarning)
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df = self.populate_buy_trend(dataframe) # type: ignore
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else:
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df = self.populate_entry_trend(dataframe, metadata)
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df = self.populate_entry_trend(dataframe, metadata)
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if 'enter_long' not in df.columns:
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df = df.rename({'buy': 'enter_long', 'buy_tag': 'enter_tag'}, axis='columns')
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@ -1129,14 +1115,8 @@ class IStrategy(ABC, HyperStrategyMixin):
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currently traded pair
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:return: DataFrame with exit column
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"""
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logger.debug(f"Populating exit signals for pair {metadata.get('pair')}.")
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if self._sell_fun_len == 2:
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warnings.warn("deprecated - check out the Sample strategy to see "
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"the current function headers!", DeprecationWarning)
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df = self.populate_sell_trend(dataframe) # type: ignore
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else:
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df = self.populate_exit_trend(dataframe, metadata)
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df = self.populate_exit_trend(dataframe, metadata)
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if 'exit_long' not in df.columns:
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df = df.rename({'sell': 'exit_long'}, axis='columns')
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return df
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@ -859,8 +859,8 @@ def test_start_list_strategies(capsys):
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# pargs['config'] = None
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start_list_strategies(pargs)
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captured = capsys.readouterr()
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assert "TestStrategyLegacyV1" in captured.out
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assert "legacy_strategy_v1.py" not in captured.out
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assert "StrategyTestV2" in captured.out
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assert "strategy_test_v2.py" not in captured.out
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assert CURRENT_TEST_STRATEGY in captured.out
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# Test regular output
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@ -874,8 +874,8 @@ def test_start_list_strategies(capsys):
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# pargs['config'] = None
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start_list_strategies(pargs)
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captured = capsys.readouterr()
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assert "TestStrategyLegacyV1" in captured.out
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assert "legacy_strategy_v1.py" in captured.out
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assert "StrategyTestV2" in captured.out
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assert "strategy_test_v2.py" in captured.out
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assert CURRENT_TEST_STRATEGY in captured.out
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# Test color output
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@ -888,8 +888,8 @@ def test_start_list_strategies(capsys):
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# pargs['config'] = None
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start_list_strategies(pargs)
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captured = capsys.readouterr()
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assert "TestStrategyLegacyV1" in captured.out
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assert "legacy_strategy_v1.py" in captured.out
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assert "StrategyTestV2" in captured.out
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assert "strategy_test_v2.py" in captured.out
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assert CURRENT_TEST_STRATEGY in captured.out
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assert "LOAD FAILED" in captured.out
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# Recursive
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@ -907,8 +907,8 @@ def test_start_list_strategies(capsys):
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# pargs['config'] = None
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start_list_strategies(pargs)
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captured = capsys.readouterr()
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assert "TestStrategyLegacyV1" in captured.out
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assert "legacy_strategy_v1.py" in captured.out
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assert "StrategyTestV2" in captured.out
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assert "strategy_test_v2.py" in captured.out
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assert "StrategyTestV2" in captured.out
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assert "TestStrategyNoImplements" in captured.out
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assert str(Path("broken_strats/broken_futures_strategies.py")) in captured.out
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@ -500,7 +500,7 @@ def test_backtesting_pairlist_list(default_conf, mocker, caplog, testdatadir, ti
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Backtesting(default_conf)
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# Multiple strategies
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default_conf['strategy_list'] = [CURRENT_TEST_STRATEGY, 'TestStrategyLegacyV1']
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default_conf['strategy_list'] = [CURRENT_TEST_STRATEGY, 'StrategyTestV2']
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with pytest.raises(OperationalException,
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match='PrecisionFilter not allowed for backtesting multiple strategies.'):
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Backtesting(default_conf)
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@ -1198,7 +1198,7 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
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'--disable-max-market-positions',
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'--strategy-list',
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CURRENT_TEST_STRATEGY,
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'TestStrategyLegacyV1',
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'StrategyTestV2',
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]
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args = get_args(args)
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start_backtesting(args)
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@ -1221,14 +1221,13 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
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'up to 2017-11-14 22:58:00 (0 days).',
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'Parameter --enable-position-stacking detected ...',
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f'Running backtesting for Strategy {CURRENT_TEST_STRATEGY}',
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'Running backtesting for Strategy TestStrategyLegacyV1',
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'Running backtesting for Strategy StrategyTestV2',
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]
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for line in exists:
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assert log_has(line, caplog)
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@pytest.mark.filterwarnings("ignore:deprecated")
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def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdatadir, capsys):
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default_conf.update({
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"use_exit_signal": True,
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@ -1310,7 +1309,7 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
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'--breakdown', 'day',
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'--strategy-list',
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CURRENT_TEST_STRATEGY,
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'TestStrategyLegacyV1',
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'StrategyTestV2',
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]
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args = get_args(args)
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start_backtesting(args)
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@ -1327,7 +1326,7 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
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'up to 2017-11-14 22:58:00 (0 days).',
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'Parameter --enable-position-stacking detected ...',
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f'Running backtesting for Strategy {CURRENT_TEST_STRATEGY}',
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'Running backtesting for Strategy TestStrategyLegacyV1',
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'Running backtesting for Strategy StrategyTestV2',
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]
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for line in exists:
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@ -1592,7 +1591,7 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
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min_backtest_date = now - timedelta(weeks=4)
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load_backtest_metadata = MagicMock(return_value={
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'StrategyTestV2': {'run_id': '1', 'backtest_start_time': now.timestamp()},
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'TestStrategyLegacyV1': {'run_id': run_id, 'backtest_start_time': start_time.timestamp()}
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'StrategyTestV3': {'run_id': run_id, 'backtest_start_time': start_time.timestamp()}
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})
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load_backtest_stats = MagicMock(side_effect=[
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{
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@ -1601,9 +1600,9 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
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'strategy_comparison': [{'key': 'StrategyTestV2'}]
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},
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{
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'metadata': {'TestStrategyLegacyV1': {'run_id': '2'}},
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'strategy': {'TestStrategyLegacyV1': {}},
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'strategy_comparison': [{'key': 'TestStrategyLegacyV1'}]
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'metadata': {'StrategyTestV3': {'run_id': '2'}},
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'strategy': {'StrategyTestV3': {}},
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'strategy_comparison': [{'key': 'StrategyTestV3'}]
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}
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])
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mocker.patch('pathlib.Path.glob', return_value=[
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@ -1627,7 +1626,7 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
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'--cache', cache,
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'--strategy-list',
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'StrategyTestV2',
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'TestStrategyLegacyV1',
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'StrategyTestV3',
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]
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args = get_args(args)
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start_backtesting(args)
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@ -1649,7 +1648,7 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
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assert backtestmock.call_count == 2
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exists = [
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'Running backtesting for Strategy StrategyTestV2',
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'Running backtesting for Strategy TestStrategyLegacyV1',
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'Running backtesting for Strategy StrategyTestV3',
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'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
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'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).',
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]
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@ -1657,12 +1656,12 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
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assert backtestmock.call_count == 0
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exists = [
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'Reusing result of previous backtest for StrategyTestV2',
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'Reusing result of previous backtest for TestStrategyLegacyV1',
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'Reusing result of previous backtest for StrategyTestV3',
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]
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else:
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exists = [
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'Reusing result of previous backtest for StrategyTestV2',
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'Running backtesting for Strategy TestStrategyLegacyV1',
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'Running backtesting for Strategy StrategyTestV3',
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'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
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'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).',
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]
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@ -1389,7 +1389,6 @@ def test_api_strategies(botclient):
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'StrategyTestV2',
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'StrategyTestV3',
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'StrategyTestV3Futures',
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'TestStrategyLegacyV1',
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]}
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30
tests/strategy/strats/broken_strats/legacy_strategy_v1.py
Normal file
30
tests/strategy/strats/broken_strats/legacy_strategy_v1.py
Normal file
@ -0,0 +1,30 @@
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# type: ignore
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from pandas import DataFrame
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from freqtrade.strategy import IStrategy
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# Dummy strategy - no longer loads but raises an exception.
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class TestStrategyLegacyV1(IStrategy):
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minimal_roi = {
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"40": 0.0,
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"30": 0.01,
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"20": 0.02,
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"0": 0.04
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}
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stoploss = -0.10
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timeframe = '5m'
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def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
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return dataframe
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def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
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return dataframe
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def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
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return dataframe
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@ -1,85 +0,0 @@
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# --- Do not remove these libs ---
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# Add your lib to import here
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import talib.abstract as ta
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from pandas import DataFrame
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from freqtrade.strategy import IStrategy
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# --------------------------------
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# This class is a sample. Feel free to customize it.
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class TestStrategyLegacyV1(IStrategy):
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"""
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This is a test strategy using the legacy function headers, which will be
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removed in a future update.
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Please do not use this as a template, but refer to user_data/strategy/sample_strategy.py
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for a uptodate version of this template.
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"""
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# Minimal ROI designed for the strategy.
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# This attribute will be overridden if the config file contains "minimal_roi"
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minimal_roi = {
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"40": 0.0,
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"30": 0.01,
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"20": 0.02,
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"0": 0.04
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}
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# Optimal stoploss designed for the strategy
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# This attribute will be overridden if the config file contains "stoploss"
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stoploss = -0.10
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timeframe = '5m'
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def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
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"""
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Adds several different TA indicators to the given DataFrame
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Performance Note: For the best performance be frugal on the number of indicators
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you are using. Let uncomment only the indicator you are using in your strategies
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or your hyperopt configuration, otherwise you will waste your memory and CPU usage.
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"""
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# Momentum Indicator
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# ------------------------------------
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# ADX
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dataframe['adx'] = ta.ADX(dataframe)
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# TEMA - Triple Exponential Moving Average
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dataframe['tema'] = ta.TEMA(dataframe, timeperiod=9)
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return dataframe
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def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
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"""
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Based on TA indicators, populates the buy signal for the given dataframe
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:param dataframe: DataFrame
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:return: DataFrame with buy column
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"""
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dataframe.loc[
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(
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(dataframe['adx'] > 30) &
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(dataframe['tema'] > dataframe['tema'].shift(1)) &
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(dataframe['volume'] > 0)
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),
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'buy'] = 1
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return dataframe
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def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
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"""
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Based on TA indicators, populates the sell signal for the given dataframe
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:param dataframe: DataFrame
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:return: DataFrame with buy column
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"""
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dataframe.loc[
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(
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(dataframe['adx'] > 70) &
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(dataframe['tema'] < dataframe['tema'].shift(1)) &
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(dataframe['volume'] > 0)
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),
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'sell'] = 1
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return dataframe
|
@ -56,19 +56,6 @@ class StrategyTestV2(IStrategy):
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# By default this strategy does not use Position Adjustments
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position_adjustment_enable = False
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def informative_pairs(self):
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"""
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Define additional, informative pair/interval combinations to be cached from the exchange.
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These pair/interval combinations are non-tradeable, unless they are part
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of the whitelist as well.
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For more information, please consult the documentation
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:return: List of tuples in the format (pair, interval)
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Sample: return [("ETH/USDT", "5m"),
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("BTC/USDT", "15m"),
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]
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"""
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return []
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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"""
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Adds several different TA indicators to the given DataFrame
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|
@ -686,7 +686,7 @@ def test_is_pair_locked(default_conf):
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def test_is_informative_pairs_callback(default_conf):
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default_conf.update({'strategy': 'TestStrategyLegacyV1'})
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default_conf.update({'strategy': 'StrategyTestV2'})
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strategy = StrategyResolver.load_strategy(default_conf)
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# Should return empty
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# Uses fallback to base implementation
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|
@ -1,6 +1,5 @@
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# pragma pylint: disable=missing-docstring, protected-access, C0103
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import logging
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import warnings
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from base64 import urlsafe_b64encode
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from pathlib import Path
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@ -35,7 +34,7 @@ def test_search_all_strategies_no_failed():
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directory = Path(__file__).parent / "strats"
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strategies = StrategyResolver.search_all_objects(directory, enum_failed=False)
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assert isinstance(strategies, list)
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||||
assert len(strategies) == 6
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assert len(strategies) == 5
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assert isinstance(strategies[0], dict)
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@ -43,10 +42,10 @@ def test_search_all_strategies_with_failed():
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directory = Path(__file__).parent / "strats"
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strategies = StrategyResolver.search_all_objects(directory, enum_failed=True)
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assert isinstance(strategies, list)
|
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assert len(strategies) == 7
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assert len(strategies) == 6
|
||||
# with enum_failed=True search_all_objects() shall find 2 good strategies
|
||||
# and 1 which fails to load
|
||||
assert len([x for x in strategies if x['class'] is not None]) == 6
|
||||
assert len([x for x in strategies if x['class'] is not None]) == 5
|
||||
assert len([x for x in strategies if x['class'] is None]) == 1
|
||||
|
||||
|
||||
@ -100,7 +99,7 @@ def test_load_strategy_noname(default_conf):
|
||||
|
||||
|
||||
@pytest.mark.filterwarnings("ignore:deprecated")
|
||||
@pytest.mark.parametrize('strategy_name', ['StrategyTestV2', 'TestStrategyLegacyV1'])
|
||||
@pytest.mark.parametrize('strategy_name', ['StrategyTestV2'])
|
||||
def test_strategy_pre_v3(result, default_conf, strategy_name):
|
||||
default_conf.update({'strategy': strategy_name})
|
||||
|
||||
@ -346,40 +345,6 @@ def test_strategy_override_use_exit_profit_only(caplog, default_conf):
|
||||
assert log_has("Override strategy 'exit_profit_only' with value in config file: True.", caplog)
|
||||
|
||||
|
||||
@pytest.mark.filterwarnings("ignore:deprecated")
|
||||
def test_deprecate_populate_indicators(result, default_conf):
|
||||
default_location = Path(__file__).parent / "strats"
|
||||
default_conf.update({'strategy': 'TestStrategyLegacyV1',
|
||||
'strategy_path': default_location})
|
||||
strategy = StrategyResolver.load_strategy(default_conf)
|
||||
with warnings.catch_warnings(record=True) as w:
|
||||
# Cause all warnings to always be triggered.
|
||||
warnings.simplefilter("always")
|
||||
indicators = strategy.advise_indicators(result, {'pair': 'ETH/BTC'})
|
||||
assert len(w) == 1
|
||||
assert issubclass(w[-1].category, DeprecationWarning)
|
||||
assert "deprecated - check out the Sample strategy to see the current function headers!" \
|
||||
in str(w[-1].message)
|
||||
|
||||
with warnings.catch_warnings(record=True) as w:
|
||||
# Cause all warnings to always be triggered.
|
||||
warnings.simplefilter("always")
|
||||
strategy.advise_entry(indicators, {'pair': 'ETH/BTC'})
|
||||
assert len(w) == 1
|
||||
assert issubclass(w[-1].category, DeprecationWarning)
|
||||
assert "deprecated - check out the Sample strategy to see the current function headers!" \
|
||||
in str(w[-1].message)
|
||||
|
||||
with warnings.catch_warnings(record=True) as w:
|
||||
# Cause all warnings to always be triggered.
|
||||
warnings.simplefilter("always")
|
||||
strategy.advise_exit(indicators, {'pair': 'ETH_BTC'})
|
||||
assert len(w) == 1
|
||||
assert issubclass(w[-1].category, DeprecationWarning)
|
||||
assert "deprecated - check out the Sample strategy to see the current function headers!" \
|
||||
in str(w[-1].message)
|
||||
|
||||
|
||||
@pytest.mark.filterwarnings("ignore:deprecated")
|
||||
def test_missing_implements(default_conf, caplog):
|
||||
|
||||
@ -438,33 +403,14 @@ def test_missing_implements(default_conf, caplog):
|
||||
StrategyResolver.load_strategy(default_conf)
|
||||
|
||||
|
||||
@pytest.mark.filterwarnings("ignore:deprecated")
|
||||
def test_call_deprecated_function(result, default_conf, caplog):
|
||||
default_location = Path(__file__).parent / "strats"
|
||||
def test_call_deprecated_function(default_conf):
|
||||
default_location = Path(__file__).parent / "strats/broken_strats/"
|
||||
del default_conf['timeframe']
|
||||
default_conf.update({'strategy': 'TestStrategyLegacyV1',
|
||||
'strategy_path': default_location})
|
||||
strategy = StrategyResolver.load_strategy(default_conf)
|
||||
metadata = {'pair': 'ETH/BTC'}
|
||||
|
||||
# Make sure we are using a legacy function
|
||||
assert strategy._populate_fun_len == 2
|
||||
assert strategy._buy_fun_len == 2
|
||||
assert strategy._sell_fun_len == 2
|
||||
assert strategy.INTERFACE_VERSION == 1
|
||||
assert strategy.timeframe == '5m'
|
||||
|
||||
indicator_df = strategy.advise_indicators(result, metadata=metadata)
|
||||
assert isinstance(indicator_df, DataFrame)
|
||||
assert 'adx' in indicator_df.columns
|
||||
|
||||
enterdf = strategy.advise_entry(result, metadata=metadata)
|
||||
assert isinstance(enterdf, DataFrame)
|
||||
assert 'enter_long' in enterdf.columns
|
||||
|
||||
exitdf = strategy.advise_exit(result, metadata=metadata)
|
||||
assert isinstance(exitdf, DataFrame)
|
||||
assert 'exit_long' in exitdf
|
||||
with pytest.raises(OperationalException,
|
||||
match=r"Strategy Interface v1 is no longer supported.*"):
|
||||
StrategyResolver.load_strategy(default_conf)
|
||||
|
||||
|
||||
def test_strategy_interface_versioning(result, default_conf):
|
||||
@ -472,10 +418,6 @@ def test_strategy_interface_versioning(result, default_conf):
|
||||
strategy = StrategyResolver.load_strategy(default_conf)
|
||||
metadata = {'pair': 'ETH/BTC'}
|
||||
|
||||
# Make sure we are using a legacy function
|
||||
assert strategy._populate_fun_len == 3
|
||||
assert strategy._buy_fun_len == 3
|
||||
assert strategy._sell_fun_len == 3
|
||||
assert strategy.INTERFACE_VERSION == 2
|
||||
|
||||
indicator_df = strategy.advise_indicators(result, metadata=metadata)
|
||||
|
Loading…
Reference in New Issue
Block a user