freqtrade_origin/tests/persistence/test_trade_custom_data.py

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from copy import deepcopy
from unittest.mock import MagicMock
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import pytest
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from freqtrade.data.history.history_utils import get_timerange
from freqtrade.optimize.backtesting import Backtesting
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from freqtrade.persistence import Trade, disable_database_use, enable_database_use
from freqtrade.persistence.custom_data import CustomDataWrapper
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from tests.conftest import (EXMS, create_mock_trades_usdt, generate_test_data,
get_patched_freqtradebot, patch_exchange)
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@pytest.mark.usefixtures("init_persistence")
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@pytest.mark.parametrize("use_db", [True, False])
def test_trade_custom_data(fee, use_db):
if not use_db:
disable_database_use('5m')
Trade.reset_trades()
CustomDataWrapper.reset_custom_data()
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create_mock_trades_usdt(fee, use_db=use_db)
trade1 = Trade.get_trades_proxy()[0]
if not use_db:
trade1.id = 1
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assert trade1.get_all_custom_data() == []
trade1.set_custom_data('test_str', 'test_value')
trade1.set_custom_data('test_int', 1)
trade1.set_custom_data('test_float', 1.55)
trade1.set_custom_data('test_bool', True)
trade1.set_custom_data('test_dict', {'test': 'dict'})
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assert len(trade1.get_all_custom_data()) == 5
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assert trade1.get_custom_data('test_str') == 'test_value'
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trade1.set_custom_data('test_str', 'test_value_updated')
assert trade1.get_custom_data('test_str') == 'test_value_updated'
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assert trade1.get_custom_data('test_int') == 1
assert isinstance(trade1.get_custom_data('test_int'), int)
assert trade1.get_custom_data('test_float') == 1.55
assert isinstance(trade1.get_custom_data('test_float'), float)
assert trade1.get_custom_data('test_bool') is True
assert isinstance(trade1.get_custom_data('test_bool'), bool)
assert trade1.get_custom_data('test_dict') == {'test': 'dict'}
assert isinstance(trade1.get_custom_data('test_dict'), dict)
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enable_database_use()
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def test_trade_custom_data_strategy_compat(mocker, default_conf_usdt, fee):
mocker.patch(f'{EXMS}.get_rate', return_value=0.50)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_real_amount', return_value=None)
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default_conf_usdt["minimal_roi"] = {"0": 100}
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freqtrade = get_patched_freqtradebot(mocker, default_conf_usdt)
create_mock_trades_usdt(fee)
trade1 = Trade.get_trades_proxy(pair='ADA/USDT')[0]
trade1.set_custom_data('test_str', 'test_value')
trade1.set_custom_data('test_int', 1)
def custom_exit(pair, trade, **kwargs):
if pair == 'ADA/USDT':
custom_val = trade.get_custom_data('test_str')
custom_val_i = trade.get_custom_data('test_int')
return f"{custom_val}_{custom_val_i}"
freqtrade.strategy.custom_exit = custom_exit
ff_spy = mocker.spy(freqtrade.strategy, 'custom_exit')
trades = Trade.get_open_trades()
freqtrade.exit_positions(trades)
Trade.commit()
trade_after = Trade.get_trades_proxy(pair='ADA/USDT')[0]
assert trade_after.get_custom_data('test_str') == 'test_value'
assert trade_after.get_custom_data('test_int') == 1
# 2 open pairs eligible for exit
assert ff_spy.call_count == 2
assert trade_after.exit_reason == 'test_value_1'
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def test_trade_custom_data_strategy_backtest_compat(mocker, default_conf_usdt, fee):
mocker.patch(f'{EXMS}.get_fee', fee)
mocker.patch(f"{EXMS}.get_min_pair_stake_amount", return_value=10)
mocker.patch(f"{EXMS}.get_max_pair_stake_amount", return_value=float('inf'))
mocker.patch(f"{EXMS}.get_max_leverage", return_value=10)
mocker.patch(f"{EXMS}.get_maintenance_ratio_and_amt", return_value=(0.1, 0.1))
mocker.patch('freqtrade.optimize.backtesting.Backtesting._run_funding_fees')
patch_exchange(mocker)
default_conf_usdt.update({
"stake_amount": 100.0,
"max_open_trades": 2,
"dry_run_wallet": 1000.0,
"strategy": "StrategyTestV3",
"trading_mode": "futures",
"margin_mode": "isolated",
"stoploss": -2,
"minimal_roi": {"0": 100},
})
default_conf_usdt['pairlists'] = [{'method': 'StaticPairList', 'allow_inactive': True}]
backtesting = Backtesting(default_conf_usdt)
df = generate_test_data(default_conf_usdt['timeframe'], 100, '2022-01-01 00:00:00+00:00')
pair_exp = 'XRP/USDT:USDT'
def custom_exit(pair, trade, **kwargs):
custom_val = trade.get_custom_data('test_str')
custom_val_i = trade.get_custom_data('test_int', 0)
if pair == pair_exp:
trade.set_custom_data('test_str', 'test_value')
trade.set_custom_data('test_int', custom_val_i + 1)
if custom_val_i >= 2:
return f"{custom_val}_{custom_val_i}"
backtesting._set_strategy(backtesting.strategylist[0])
processed = backtesting.strategy.advise_all_indicators({
pair_exp: df,
'BTC/USDT:USDT': df,
})
def fun(dataframe, *args, **kwargs):
dataframe.loc[dataframe.index == 50, 'enter_long'] = 1
return dataframe
backtesting.strategy.advise_entry = fun
backtesting.strategy.leverage = MagicMock(return_value=1)
backtesting.strategy.custom_exit = custom_exit
ff_spy = mocker.spy(backtesting.strategy, 'custom_exit')
min_date, max_date = get_timerange(processed)
result = backtesting.backtest(
processed=deepcopy(processed),
start_date=min_date,
end_date=max_date,
)
results = result['results']
assert not results.empty
assert len(results) == 2
assert results['pair'][0] == pair_exp
assert results['pair'][1] == 'BTC/USDT:USDT'
assert results['exit_reason'][0] == 'test_value_2'
assert results['exit_reason'][1] == 'exit_signal'
assert ff_spy.call_count == 7
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enable_database_use()