stable/freqtrade/tests/strategy/test_strategy.py
2018-11-24 20:39:16 +01:00

276 lines
9.4 KiB
Python

# pragma pylint: disable=missing-docstring, protected-access, C0103
import logging
from base64 import urlsafe_b64encode
from os import path
from pathlib import Path
import warnings
import pytest
from pandas import DataFrame
from freqtrade.strategy import import_strategy
from freqtrade.strategy.default_strategy import DefaultStrategy
from freqtrade.strategy.interface import IStrategy
from freqtrade.resolvers import StrategyResolver
def test_import_strategy(caplog):
caplog.set_level(logging.DEBUG)
default_config = {}
strategy = DefaultStrategy(default_config)
strategy.some_method = lambda *args, **kwargs: 42
assert strategy.__module__ == 'freqtrade.strategy.default_strategy'
assert strategy.some_method() == 42
imported_strategy = import_strategy(strategy, default_config)
assert dir(strategy) == dir(imported_strategy)
assert imported_strategy.__module__ == 'freqtrade.strategy'
assert imported_strategy.some_method() == 42
assert (
'freqtrade.strategy',
logging.DEBUG,
'Imported strategy freqtrade.strategy.default_strategy.DefaultStrategy '
'as freqtrade.strategy.DefaultStrategy',
) in caplog.record_tuples
def test_search_strategy():
default_config = {}
default_location = Path(__file__).parent.parent.joinpath('strategy').resolve()
assert isinstance(
StrategyResolver._search_object(
directory=default_location,
object_type=IStrategy,
kwargs={'config': default_config},
object_name='DefaultStrategy'
),
IStrategy
)
assert StrategyResolver._search_object(
directory=default_location,
object_type=IStrategy,
kwargs={'config': default_config},
object_name='NotFoundStrategy'
) is None
def test_load_strategy(result):
resolver = StrategyResolver({'strategy': 'TestStrategy'})
metadata = {'pair': 'ETH/BTC'}
assert 'adx' in resolver.strategy.advise_indicators(result, metadata=metadata)
def test_load_strategy_byte64(result):
with open("freqtrade/tests/strategy/test_strategy.py", "r") as file:
encoded_string = urlsafe_b64encode(file.read().encode("utf-8")).decode("utf-8")
resolver = StrategyResolver({'strategy': 'TestStrategy:{}'.format(encoded_string)})
assert 'adx' in resolver.strategy.advise_indicators(result, 'ETH/BTC')
def test_load_strategy_invalid_directory(result, caplog):
resolver = StrategyResolver()
extra_dir = path.join('some', 'path')
resolver._load_strategy('TestStrategy', config={}, extra_dir=extra_dir)
assert (
'freqtrade.resolvers.strategy_resolver',
logging.WARNING,
'Path "{}" does not exist'.format(extra_dir),
) in caplog.record_tuples
assert 'adx' in resolver.strategy.advise_indicators(result, {'pair': 'ETH/BTC'})
def test_load_not_found_strategy():
strategy = StrategyResolver()
with pytest.raises(ImportError,
match=r"Impossible to load Strategy 'NotFoundStrategy'."
r" This class does not exist or contains Python code errors"):
strategy._load_strategy(strategy_name='NotFoundStrategy', config={})
def test_strategy(result):
config = {'strategy': 'DefaultStrategy'}
resolver = StrategyResolver(config)
metadata = {'pair': 'ETH/BTC'}
assert resolver.strategy.minimal_roi[0] == 0.04
assert config["minimal_roi"]['0'] == 0.04
assert resolver.strategy.stoploss == -0.10
assert config['stoploss'] == -0.10
assert resolver.strategy.ticker_interval == '5m'
assert config['ticker_interval'] == '5m'
df_indicators = resolver.strategy.advise_indicators(result, metadata=metadata)
assert 'adx' in df_indicators
dataframe = resolver.strategy.advise_buy(df_indicators, metadata=metadata)
assert 'buy' in dataframe.columns
dataframe = resolver.strategy.advise_sell(df_indicators, metadata=metadata)
assert 'sell' in dataframe.columns
def test_strategy_override_minimal_roi(caplog):
caplog.set_level(logging.INFO)
config = {
'strategy': 'DefaultStrategy',
'minimal_roi': {
"0": 0.5
}
}
resolver = StrategyResolver(config)
assert resolver.strategy.minimal_roi[0] == 0.5
assert ('freqtrade.resolvers.strategy_resolver',
logging.INFO,
"Override strategy 'minimal_roi' with value in config file: {'0': 0.5}."
) in caplog.record_tuples
def test_strategy_override_stoploss(caplog):
caplog.set_level(logging.INFO)
config = {
'strategy': 'DefaultStrategy',
'stoploss': -0.5
}
resolver = StrategyResolver(config)
assert resolver.strategy.stoploss == -0.5
assert ('freqtrade.resolvers.strategy_resolver',
logging.INFO,
"Override strategy 'stoploss' with value in config file: -0.5."
) in caplog.record_tuples
def test_strategy_override_ticker_interval(caplog):
caplog.set_level(logging.INFO)
config = {
'strategy': 'DefaultStrategy',
'ticker_interval': 60
}
resolver = StrategyResolver(config)
assert resolver.strategy.ticker_interval == 60
assert ('freqtrade.resolvers.strategy_resolver',
logging.INFO,
"Override strategy 'ticker_interval' with value in config file: 60."
) in caplog.record_tuples
def test_strategy_override_process_only_new_candles(caplog):
caplog.set_level(logging.INFO)
config = {
'strategy': 'DefaultStrategy',
'process_only_new_candles': True
}
resolver = StrategyResolver(config)
assert resolver.strategy.process_only_new_candles
assert ('freqtrade.resolvers.strategy_resolver',
logging.INFO,
"Override process_only_new_candles 'process_only_new_candles' "
"with value in config file: True."
) in caplog.record_tuples
def test_strategy_override_order_types(caplog):
caplog.set_level(logging.INFO)
order_types = {
'buy': 'market',
'sell': 'limit',
'stoploss': 'limit'
}
config = {
'strategy': 'DefaultStrategy',
'order_types': order_types
}
resolver = StrategyResolver(config)
assert resolver.strategy.order_types
for method in ['buy', 'sell', 'stoploss']:
assert resolver.strategy.order_types[method] == order_types[method]
assert ('freqtrade.resolvers.strategy_resolver',
logging.INFO,
"Override strategy 'order_types' with value in config file:"
" {'buy': 'market', 'sell': 'limit', 'stoploss': 'limit'}."
) in caplog.record_tuples
config = {
'strategy': 'DefaultStrategy',
'order_types': {'buy': 'market'}
}
# Raise error for invalid configuration
with pytest.raises(ImportError,
match=r"Impossible to load Strategy 'DefaultStrategy'. "
r"Order-types mapping is incomplete."):
StrategyResolver(config)
def test_deprecate_populate_indicators(result):
default_location = path.join(path.dirname(path.realpath(__file__)))
resolver = StrategyResolver({'strategy': 'TestStrategyLegacy',
'strategy_path': default_location})
with warnings.catch_warnings(record=True) as w:
# Cause all warnings to always be triggered.
warnings.simplefilter("always")
indicators = resolver.strategy.advise_indicators(result, '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")
resolver.strategy.advise_buy(indicators, '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")
resolver.strategy.advise_sell(indicators, '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)
def test_call_deprecated_function(result, monkeypatch):
default_location = path.join(path.dirname(path.realpath(__file__)))
resolver = StrategyResolver({'strategy': 'TestStrategyLegacy',
'strategy_path': default_location})
metadata = {'pair': 'ETH/BTC'}
# Make sure we are using a legacy function
assert resolver.strategy._populate_fun_len == 2
assert resolver.strategy._buy_fun_len == 2
assert resolver.strategy._sell_fun_len == 2
indicator_df = resolver.strategy.advise_indicators(result, metadata=metadata)
assert type(indicator_df) is DataFrame
assert 'adx' in indicator_df.columns
buydf = resolver.strategy.advise_buy(result, metadata=metadata)
assert type(buydf) is DataFrame
assert 'buy' in buydf.columns
selldf = resolver.strategy.advise_sell(result, metadata=metadata)
assert type(selldf) is DataFrame
assert 'sell' in selldf