Merge pull request #6723 from freqtrade/strategy_v1_remove

Strategy v1 remove
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Matthias 2022-04-25 08:26:35 +02:00 committed by GitHub
commit f45bafdb16
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GPG Key ID: 4AEE18F83AFDEB23
10 changed files with 76 additions and 220 deletions

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@ -217,15 +217,19 @@ class StrategyResolver(IResolver):
raise OperationalException( raise OperationalException(
"`populate_exit_trend` or `populate_sell_trend` must be implemented.") "`populate_exit_trend` or `populate_sell_trend` must be implemented.")
strategy._populate_fun_len = len(getfullargspec(strategy.populate_indicators).args) _populate_fun_len = len(getfullargspec(strategy.populate_indicators).args)
strategy._buy_fun_len = len(getfullargspec(strategy.populate_buy_trend).args) _buy_fun_len = len(getfullargspec(strategy.populate_buy_trend).args)
strategy._sell_fun_len = len(getfullargspec(strategy.populate_sell_trend).args) _sell_fun_len = len(getfullargspec(strategy.populate_sell_trend).args)
if any(x == 2 for x in [ if any(x == 2 for x in [
strategy._populate_fun_len, _populate_fun_len,
strategy._buy_fun_len, _buy_fun_len,
strategy._sell_fun_len _sell_fun_len
]): ]):
strategy.INTERFACE_VERSION = 1 raise OperationalException(
"Strategy Interface v1 is no longer supported. "
"Please update your strategy to implement "
"`populate_indicators`, `populate_entry_trend` and `populate_exit_trend` "
"with the metadata argument. ")
return strategy return strategy
@staticmethod @staticmethod

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@ -3,7 +3,6 @@ IStrategy interface
This module defines the interface to apply for strategies This module defines the interface to apply for strategies
""" """
import logging import logging
import warnings
from abc import ABC, abstractmethod from abc import ABC, abstractmethod
from datetime import datetime, timedelta, timezone from datetime import datetime, timedelta, timezone
from typing import Dict, List, Optional, Tuple, Union from typing import Dict, List, Optional, Tuple, Union
@ -44,14 +43,11 @@ class IStrategy(ABC, HyperStrategyMixin):
""" """
# Strategy interface version # Strategy interface version
# Default to version 2 # Default to version 2
# Version 1 is the initial interface without metadata dict # Version 1 is the initial interface without metadata dict - deprecated and no longer supported.
# Version 2 populate_* include metadata dict # Version 2 populate_* include metadata dict
# Version 3 - First version with short and leverage support # Version 3 - First version with short and leverage support
INTERFACE_VERSION: int = 3 INTERFACE_VERSION: int = 3
_populate_fun_len: int = 0
_buy_fun_len: int = 0
_sell_fun_len: int = 0
_ft_params_from_file: Dict _ft_params_from_file: Dict
# associated minimal roi # associated minimal roi
minimal_roi: Dict = {} minimal_roi: Dict = {}
@ -1090,11 +1086,6 @@ class IStrategy(ABC, HyperStrategyMixin):
dataframe = _create_and_merge_informative_pair( dataframe = _create_and_merge_informative_pair(
self, dataframe, metadata, inf_data, populate_fn) self, dataframe, metadata, inf_data, populate_fn)
if self._populate_fun_len == 2:
warnings.warn("deprecated - check out the Sample strategy to see "
"the current function headers!", DeprecationWarning)
return self.populate_indicators(dataframe) # type: ignore
else:
return self.populate_indicators(dataframe, metadata) return self.populate_indicators(dataframe, metadata)
def advise_entry(self, dataframe: DataFrame, metadata: dict) -> DataFrame: def advise_entry(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
@ -1109,11 +1100,6 @@ class IStrategy(ABC, HyperStrategyMixin):
logger.debug(f"Populating enter signals for pair {metadata.get('pair')}.") logger.debug(f"Populating enter signals for pair {metadata.get('pair')}.")
if self._buy_fun_len == 2:
warnings.warn("deprecated - check out the Sample strategy to see "
"the current function headers!", DeprecationWarning)
df = self.populate_buy_trend(dataframe) # type: ignore
else:
df = self.populate_entry_trend(dataframe, metadata) df = self.populate_entry_trend(dataframe, metadata)
if 'enter_long' not in df.columns: if 'enter_long' not in df.columns:
df = df.rename({'buy': 'enter_long', 'buy_tag': 'enter_tag'}, axis='columns') df = df.rename({'buy': 'enter_long', 'buy_tag': 'enter_tag'}, axis='columns')
@ -1129,13 +1115,7 @@ class IStrategy(ABC, HyperStrategyMixin):
currently traded pair currently traded pair
:return: DataFrame with exit column :return: DataFrame with exit column
""" """
logger.debug(f"Populating exit signals for pair {metadata.get('pair')}.") logger.debug(f"Populating exit signals for pair {metadata.get('pair')}.")
if self._sell_fun_len == 2:
warnings.warn("deprecated - check out the Sample strategy to see "
"the current function headers!", DeprecationWarning)
df = self.populate_sell_trend(dataframe) # type: ignore
else:
df = self.populate_exit_trend(dataframe, metadata) df = self.populate_exit_trend(dataframe, metadata)
if 'exit_long' not in df.columns: if 'exit_long' not in df.columns:
df = df.rename({'sell': 'exit_long'}, axis='columns') df = df.rename({'sell': 'exit_long'}, axis='columns')

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@ -859,8 +859,8 @@ def test_start_list_strategies(capsys):
# pargs['config'] = None # pargs['config'] = None
start_list_strategies(pargs) start_list_strategies(pargs)
captured = capsys.readouterr() captured = capsys.readouterr()
assert "TestStrategyLegacyV1" in captured.out assert "StrategyTestV2" in captured.out
assert "legacy_strategy_v1.py" not in captured.out assert "strategy_test_v2.py" not in captured.out
assert CURRENT_TEST_STRATEGY in captured.out assert CURRENT_TEST_STRATEGY in captured.out
# Test regular output # Test regular output
@ -874,8 +874,8 @@ def test_start_list_strategies(capsys):
# pargs['config'] = None # pargs['config'] = None
start_list_strategies(pargs) start_list_strategies(pargs)
captured = capsys.readouterr() captured = capsys.readouterr()
assert "TestStrategyLegacyV1" in captured.out assert "StrategyTestV2" in captured.out
assert "legacy_strategy_v1.py" in captured.out assert "strategy_test_v2.py" in captured.out
assert CURRENT_TEST_STRATEGY in captured.out assert CURRENT_TEST_STRATEGY in captured.out
# Test color output # Test color output
@ -888,8 +888,8 @@ def test_start_list_strategies(capsys):
# pargs['config'] = None # pargs['config'] = None
start_list_strategies(pargs) start_list_strategies(pargs)
captured = capsys.readouterr() captured = capsys.readouterr()
assert "TestStrategyLegacyV1" in captured.out assert "StrategyTestV2" in captured.out
assert "legacy_strategy_v1.py" in captured.out assert "strategy_test_v2.py" in captured.out
assert CURRENT_TEST_STRATEGY in captured.out assert CURRENT_TEST_STRATEGY in captured.out
assert "LOAD FAILED" in captured.out assert "LOAD FAILED" in captured.out
# Recursive # Recursive
@ -907,8 +907,8 @@ def test_start_list_strategies(capsys):
# pargs['config'] = None # pargs['config'] = None
start_list_strategies(pargs) start_list_strategies(pargs)
captured = capsys.readouterr() captured = capsys.readouterr()
assert "TestStrategyLegacyV1" in captured.out assert "StrategyTestV2" in captured.out
assert "legacy_strategy_v1.py" in captured.out assert "strategy_test_v2.py" in captured.out
assert "StrategyTestV2" in captured.out assert "StrategyTestV2" in captured.out
assert "TestStrategyNoImplements" in captured.out assert "TestStrategyNoImplements" in captured.out
assert str(Path("broken_strats/broken_futures_strategies.py")) in captured.out 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
Backtesting(default_conf) Backtesting(default_conf)
# Multiple strategies # Multiple strategies
default_conf['strategy_list'] = [CURRENT_TEST_STRATEGY, 'TestStrategyLegacyV1'] default_conf['strategy_list'] = [CURRENT_TEST_STRATEGY, 'StrategyTestV2']
with pytest.raises(OperationalException, with pytest.raises(OperationalException,
match='PrecisionFilter not allowed for backtesting multiple strategies.'): match='PrecisionFilter not allowed for backtesting multiple strategies.'):
Backtesting(default_conf) Backtesting(default_conf)
@ -1198,7 +1198,7 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
'--disable-max-market-positions', '--disable-max-market-positions',
'--strategy-list', '--strategy-list',
CURRENT_TEST_STRATEGY, CURRENT_TEST_STRATEGY,
'TestStrategyLegacyV1', 'StrategyTestV2',
] ]
args = get_args(args) args = get_args(args)
start_backtesting(args) start_backtesting(args)
@ -1221,14 +1221,13 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
'up to 2017-11-14 22:58:00 (0 days).', 'up to 2017-11-14 22:58:00 (0 days).',
'Parameter --enable-position-stacking detected ...', 'Parameter --enable-position-stacking detected ...',
f'Running backtesting for Strategy {CURRENT_TEST_STRATEGY}', f'Running backtesting for Strategy {CURRENT_TEST_STRATEGY}',
'Running backtesting for Strategy TestStrategyLegacyV1', 'Running backtesting for Strategy StrategyTestV2',
] ]
for line in exists: for line in exists:
assert log_has(line, caplog) assert log_has(line, caplog)
@pytest.mark.filterwarnings("ignore:deprecated")
def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdatadir, capsys): def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdatadir, capsys):
default_conf.update({ default_conf.update({
"use_exit_signal": True, "use_exit_signal": True,
@ -1310,7 +1309,7 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
'--breakdown', 'day', '--breakdown', 'day',
'--strategy-list', '--strategy-list',
CURRENT_TEST_STRATEGY, CURRENT_TEST_STRATEGY,
'TestStrategyLegacyV1', 'StrategyTestV2',
] ]
args = get_args(args) args = get_args(args)
start_backtesting(args) start_backtesting(args)
@ -1327,7 +1326,7 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
'up to 2017-11-14 22:58:00 (0 days).', 'up to 2017-11-14 22:58:00 (0 days).',
'Parameter --enable-position-stacking detected ...', 'Parameter --enable-position-stacking detected ...',
f'Running backtesting for Strategy {CURRENT_TEST_STRATEGY}', f'Running backtesting for Strategy {CURRENT_TEST_STRATEGY}',
'Running backtesting for Strategy TestStrategyLegacyV1', 'Running backtesting for Strategy StrategyTestV2',
] ]
for line in exists: for line in exists:
@ -1592,7 +1591,7 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
min_backtest_date = now - timedelta(weeks=4) min_backtest_date = now - timedelta(weeks=4)
load_backtest_metadata = MagicMock(return_value={ load_backtest_metadata = MagicMock(return_value={
'StrategyTestV2': {'run_id': '1', 'backtest_start_time': now.timestamp()}, 'StrategyTestV2': {'run_id': '1', 'backtest_start_time': now.timestamp()},
'TestStrategyLegacyV1': {'run_id': run_id, 'backtest_start_time': start_time.timestamp()} 'StrategyTestV3': {'run_id': run_id, 'backtest_start_time': start_time.timestamp()}
}) })
load_backtest_stats = MagicMock(side_effect=[ load_backtest_stats = MagicMock(side_effect=[
{ {
@ -1601,9 +1600,9 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
'strategy_comparison': [{'key': 'StrategyTestV2'}] 'strategy_comparison': [{'key': 'StrategyTestV2'}]
}, },
{ {
'metadata': {'TestStrategyLegacyV1': {'run_id': '2'}}, 'metadata': {'StrategyTestV3': {'run_id': '2'}},
'strategy': {'TestStrategyLegacyV1': {}}, 'strategy': {'StrategyTestV3': {}},
'strategy_comparison': [{'key': 'TestStrategyLegacyV1'}] 'strategy_comparison': [{'key': 'StrategyTestV3'}]
} }
]) ])
mocker.patch('pathlib.Path.glob', return_value=[ mocker.patch('pathlib.Path.glob', return_value=[
@ -1627,7 +1626,7 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
'--cache', cache, '--cache', cache,
'--strategy-list', '--strategy-list',
'StrategyTestV2', 'StrategyTestV2',
'TestStrategyLegacyV1', 'StrategyTestV3',
] ]
args = get_args(args) args = get_args(args)
start_backtesting(args) start_backtesting(args)
@ -1649,7 +1648,7 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
assert backtestmock.call_count == 2 assert backtestmock.call_count == 2
exists = [ exists = [
'Running backtesting for Strategy StrategyTestV2', 'Running backtesting for Strategy StrategyTestV2',
'Running backtesting for Strategy TestStrategyLegacyV1', 'Running backtesting for Strategy StrategyTestV3',
'Ignoring max_open_trades (--disable-max-market-positions was used) ...', 'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).', 'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).',
] ]
@ -1657,12 +1656,12 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
assert backtestmock.call_count == 0 assert backtestmock.call_count == 0
exists = [ exists = [
'Reusing result of previous backtest for StrategyTestV2', 'Reusing result of previous backtest for StrategyTestV2',
'Reusing result of previous backtest for TestStrategyLegacyV1', 'Reusing result of previous backtest for StrategyTestV3',
] ]
else: else:
exists = [ exists = [
'Reusing result of previous backtest for StrategyTestV2', 'Reusing result of previous backtest for StrategyTestV2',
'Running backtesting for Strategy TestStrategyLegacyV1', 'Running backtesting for Strategy StrategyTestV3',
'Ignoring max_open_trades (--disable-max-market-positions was used) ...', 'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).', 'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).',
] ]

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@ -1389,7 +1389,6 @@ def test_api_strategies(botclient):
'StrategyTestV2', 'StrategyTestV2',
'StrategyTestV3', 'StrategyTestV3',
'StrategyTestV3Futures', 'StrategyTestV3Futures',
'TestStrategyLegacyV1',
]} ]}

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@ -0,0 +1,30 @@
# type: ignore
from pandas import DataFrame
from freqtrade.strategy import IStrategy
# Dummy strategy - no longer loads but raises an exception.
class TestStrategyLegacyV1(IStrategy):
minimal_roi = {
"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
}
stoploss = -0.10
timeframe = '5m'
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
return dataframe
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
return dataframe
def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
return dataframe

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@ -1,85 +0,0 @@
# --- Do not remove these libs ---
# Add your lib to import here
import talib.abstract as ta
from pandas import DataFrame
from freqtrade.strategy import IStrategy
# --------------------------------
# This class is a sample. Feel free to customize it.
class TestStrategyLegacyV1(IStrategy):
"""
This is a test strategy using the legacy function headers, which will be
removed in a future update.
Please do not use this as a template, but refer to user_data/strategy/sample_strategy.py
for a uptodate version of this template.
"""
# Minimal ROI designed for the strategy.
# This attribute will be overridden if the config file contains "minimal_roi"
minimal_roi = {
"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
}
# Optimal stoploss designed for the strategy
# This attribute will be overridden if the config file contains "stoploss"
stoploss = -0.10
timeframe = '5m'
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
"""
Adds several different TA indicators to the given DataFrame
Performance Note: For the best performance be frugal on the number of indicators
you are using. Let uncomment only the indicator you are using in your strategies
or your hyperopt configuration, otherwise you will waste your memory and CPU usage.
"""
# Momentum Indicator
# ------------------------------------
# ADX
dataframe['adx'] = ta.ADX(dataframe)
# TEMA - Triple Exponential Moving Average
dataframe['tema'] = ta.TEMA(dataframe, timeperiod=9)
return dataframe
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
"""
Based on TA indicators, populates the buy signal for the given dataframe
:param dataframe: DataFrame
:return: DataFrame with buy column
"""
dataframe.loc[
(
(dataframe['adx'] > 30) &
(dataframe['tema'] > dataframe['tema'].shift(1)) &
(dataframe['volume'] > 0)
),
'buy'] = 1
return dataframe
def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
"""
Based on TA indicators, populates the sell signal for the given dataframe
:param dataframe: DataFrame
:return: DataFrame with buy column
"""
dataframe.loc[
(
(dataframe['adx'] > 70) &
(dataframe['tema'] < dataframe['tema'].shift(1)) &
(dataframe['volume'] > 0)
),
'sell'] = 1
return dataframe

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@ -56,19 +56,6 @@ class StrategyTestV2(IStrategy):
# By default this strategy does not use Position Adjustments # By default this strategy does not use Position Adjustments
position_adjustment_enable = False position_adjustment_enable = False
def informative_pairs(self):
"""
Define additional, informative pair/interval combinations to be cached from the exchange.
These pair/interval combinations are non-tradeable, unless they are part
of the whitelist as well.
For more information, please consult the documentation
:return: List of tuples in the format (pair, interval)
Sample: return [("ETH/USDT", "5m"),
("BTC/USDT", "15m"),
]
"""
return []
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
""" """
Adds several different TA indicators to the given DataFrame Adds several different TA indicators to the given DataFrame

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@ -686,7 +686,7 @@ def test_is_pair_locked(default_conf):
def test_is_informative_pairs_callback(default_conf): def test_is_informative_pairs_callback(default_conf):
default_conf.update({'strategy': 'TestStrategyLegacyV1'}) default_conf.update({'strategy': 'StrategyTestV2'})
strategy = StrategyResolver.load_strategy(default_conf) strategy = StrategyResolver.load_strategy(default_conf)
# Should return empty # Should return empty
# Uses fallback to base implementation # Uses fallback to base implementation

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@ -1,6 +1,5 @@
# pragma pylint: disable=missing-docstring, protected-access, C0103 # pragma pylint: disable=missing-docstring, protected-access, C0103
import logging import logging
import warnings
from base64 import urlsafe_b64encode from base64 import urlsafe_b64encode
from pathlib import Path from pathlib import Path
@ -35,7 +34,7 @@ def test_search_all_strategies_no_failed():
directory = Path(__file__).parent / "strats" directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=False) strategies = StrategyResolver.search_all_objects(directory, enum_failed=False)
assert isinstance(strategies, list) assert isinstance(strategies, list)
assert len(strategies) == 6 assert len(strategies) == 5
assert isinstance(strategies[0], dict) assert isinstance(strategies[0], dict)
@ -43,10 +42,10 @@ def test_search_all_strategies_with_failed():
directory = Path(__file__).parent / "strats" directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=True) strategies = StrategyResolver.search_all_objects(directory, enum_failed=True)
assert isinstance(strategies, list) assert isinstance(strategies, list)
assert len(strategies) == 7 assert len(strategies) == 6
# with enum_failed=True search_all_objects() shall find 2 good strategies # with enum_failed=True search_all_objects() shall find 2 good strategies
# and 1 which fails to load # 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 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.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): def test_strategy_pre_v3(result, default_conf, strategy_name):
default_conf.update({'strategy': 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) 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") @pytest.mark.filterwarnings("ignore:deprecated")
def test_missing_implements(default_conf, caplog): def test_missing_implements(default_conf, caplog):
@ -438,33 +403,14 @@ def test_missing_implements(default_conf, caplog):
StrategyResolver.load_strategy(default_conf) StrategyResolver.load_strategy(default_conf)
@pytest.mark.filterwarnings("ignore:deprecated") def test_call_deprecated_function(default_conf):
def test_call_deprecated_function(result, default_conf, caplog): default_location = Path(__file__).parent / "strats/broken_strats/"
default_location = Path(__file__).parent / "strats"
del default_conf['timeframe'] del default_conf['timeframe']
default_conf.update({'strategy': 'TestStrategyLegacyV1', default_conf.update({'strategy': 'TestStrategyLegacyV1',
'strategy_path': default_location}) 'strategy_path': default_location})
strategy = StrategyResolver.load_strategy(default_conf) with pytest.raises(OperationalException,
metadata = {'pair': 'ETH/BTC'} match=r"Strategy Interface v1 is no longer supported.*"):
StrategyResolver.load_strategy(default_conf)
# 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
def test_strategy_interface_versioning(result, 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) strategy = StrategyResolver.load_strategy(default_conf)
metadata = {'pair': 'ETH/BTC'} 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 assert strategy.INTERFACE_VERSION == 2
indicator_df = strategy.advise_indicators(result, metadata=metadata) indicator_df = strategy.advise_indicators(result, metadata=metadata)