Merge branch 'develop' into pr/yazeed/3055

This commit is contained in:
Matthias
2020-08-24 07:21:48 +02:00
152 changed files with 6643 additions and 2380 deletions

View File

@@ -44,7 +44,7 @@ def test_start_new_config(mocker, caplog, exchange):
'stake_currency': 'USDT',
'stake_amount': 100,
'fiat_display_currency': 'EUR',
'ticker_interval': '15m',
'timeframe': '15m',
'dry_run': True,
'exchange_name': exchange,
'exchange_key': 'sampleKey',
@@ -68,7 +68,7 @@ def test_start_new_config(mocker, caplog, exchange):
result = rapidjson.loads(wt_mock.call_args_list[0][0][0],
parse_mode=rapidjson.PM_COMMENTS | rapidjson.PM_TRAILING_COMMAS)
assert result['exchange']['name'] == exchange
assert result['ticker_interval'] == '15m'
assert result['timeframe'] == '15m'
def test_start_new_config_exists(mocker, caplog):

View File

@@ -6,12 +6,12 @@ import pytest
from freqtrade.commands import (start_convert_data, start_create_userdir,
start_download_data, start_hyperopt_list,
start_hyperopt_show, start_list_exchanges,
start_list_hyperopts, start_list_markets,
start_list_strategies, start_list_timeframes,
start_new_hyperopt, start_new_strategy,
start_show_trades, start_test_pairlist,
start_trading)
start_hyperopt_show, start_list_data,
start_list_exchanges, start_list_hyperopts,
start_list_markets, start_list_strategies,
start_list_timeframes, start_new_hyperopt,
start_new_strategy, start_show_trades,
start_test_pairlist, start_trading)
from freqtrade.configuration import setup_utils_configuration
from freqtrade.exceptions import OperationalException
from freqtrade.state import RunMode
@@ -667,7 +667,7 @@ def test_start_list_hyperopts(mocker, caplog, capsys):
args = [
"list-hyperopts",
"--hyperopt-path",
str(Path(__file__).parent.parent / "optimize"),
str(Path(__file__).parent.parent / "optimize" / "hyperopts"),
"-1"
]
pargs = get_args(args)
@@ -683,7 +683,7 @@ def test_start_list_hyperopts(mocker, caplog, capsys):
args = [
"list-hyperopts",
"--hyperopt-path",
str(Path(__file__).parent.parent / "optimize"),
str(Path(__file__).parent.parent / "optimize" / "hyperopts"),
]
pargs = get_args(args)
# pargs['config'] = None
@@ -692,7 +692,6 @@ def test_start_list_hyperopts(mocker, caplog, capsys):
assert "TestHyperoptLegacy" not in captured.out
assert "legacy_hyperopt.py" not in captured.out
assert "DefaultHyperOpt" in captured.out
assert "test_hyperopt.py" in captured.out
def test_start_test_pairlist(mocker, caplog, tickers, default_conf, capsys):
@@ -736,7 +735,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details"
"--no-details",
]
pargs = get_args(args)
pargs['config'] = None
@@ -749,7 +748,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--best",
"--no-details"
"--no-details",
]
pargs = get_args(args)
pargs['config'] = None
@@ -763,7 +762,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--profitable",
"--no-details"
"--no-details",
]
pargs = get_args(args)
pargs['config'] = None
@@ -776,7 +775,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable"
"--profitable",
]
pargs = get_args(args)
pargs['config'] = None
@@ -792,7 +791,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
"hyperopt-list",
"--no-details",
"--no-color",
"--min-trades", "20"
"--min-trades", "20",
]
pargs = get_args(args)
pargs['config'] = None
@@ -806,7 +805,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
"hyperopt-list",
"--profitable",
"--no-details",
"--max-trades", "20"
"--max-trades", "20",
]
pargs = get_args(args)
pargs['config'] = None
@@ -821,7 +820,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
"hyperopt-list",
"--profitable",
"--no-details",
"--min-avg-profit", "0.11"
"--min-avg-profit", "0.11",
]
pargs = get_args(args)
pargs['config'] = None
@@ -835,7 +834,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--max-avg-profit", "0.10"
"--max-avg-profit", "0.10",
]
pargs = get_args(args)
pargs['config'] = None
@@ -849,7 +848,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--min-total-profit", "0.4"
"--min-total-profit", "0.4",
]
pargs = get_args(args)
pargs['config'] = None
@@ -863,7 +862,35 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--max-total-profit", "0.4"
"--max-total-profit", "0.4",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12"])
assert all(x not in captured.out
for x in [" 4/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--min-objective", "0.1",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--max-objective", "0.1",
]
pargs = get_args(args)
pargs['config'] = None
@@ -878,7 +905,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
"hyperopt-list",
"--profitable",
"--no-details",
"--min-avg-time", "2000"
"--min-avg-time", "2000",
]
pargs = get_args(args)
pargs['config'] = None
@@ -892,7 +919,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--max-avg-time", "1500"
"--max-avg-time", "1500",
]
pargs = get_args(args)
pargs['config'] = None
@@ -906,7 +933,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
args = [
"hyperopt-list",
"--no-details",
"--export-csv", "test_file.csv"
"--export-csv", "test_file.csv",
]
pargs = get_args(args)
pargs['config'] = None
@@ -1043,6 +1070,40 @@ def test_convert_data_trades(mocker, testdatadir):
assert trades_mock.call_args[1]['erase'] is False
def test_start_list_data(testdatadir, capsys):
args = [
"list-data",
"--data-format-ohlcv",
"json",
"--datadir",
str(testdatadir),
]
pargs = get_args(args)
pargs['config'] = None
start_list_data(pargs)
captured = capsys.readouterr()
assert "Found 16 pair / timeframe combinations." in captured.out
assert "\n| Pair | Timeframe |\n" in captured.out
assert "\n| UNITTEST/BTC | 1m, 5m, 8m, 30m |\n" in captured.out
args = [
"list-data",
"--data-format-ohlcv",
"json",
"--pairs", "XRP/ETH",
"--datadir",
str(testdatadir),
]
pargs = get_args(args)
pargs['config'] = None
start_list_data(pargs)
captured = capsys.readouterr()
assert "Found 2 pair / timeframe combinations." in captured.out
assert "\n| Pair | Timeframe |\n" in captured.out
assert "UNITTEST/BTC" not in captured.out
assert "\n| XRP/ETH | 1m, 5m |\n" in captured.out
@pytest.mark.usefixtures("init_persistence")
def test_show_trades(mocker, fee, capsys, caplog):
mocker.patch("freqtrade.persistence.init")
@@ -1055,7 +1116,7 @@ def test_show_trades(mocker, fee, capsys, caplog):
pargs = get_args(args)
pargs['config'] = None
start_show_trades(pargs)
assert log_has("Printing 3 Trades: ", caplog)
assert log_has("Printing 4 Trades: ", caplog)
captured = capsys.readouterr()
assert "Trade(id=1" in captured.out
assert "Trade(id=2" in captured.out

View File

@@ -9,7 +9,7 @@
"fiat_display_currency": "USD", // C++-style comment
"amount_reserve_percent" : 0.05, // And more, tabs before this comment
"dry_run": false,
"ticker_interval": "5m",
"timeframe": "5m",
"trailing_stop": false,
"trailing_stop_positive": 0.005,
"trailing_stop_positive_offset": 0.0051,
@@ -92,7 +92,6 @@
"enabled": false,
"process_throttle_secs": 3600,
"calculate_since_number_of_days": 7,
"capital_available_percentage": 0.5,
"allowed_risk": 0.01,
"stoploss_range_min": -0.01,
"stoploss_range_max": -0.1,

View File

@@ -56,6 +56,7 @@ def patched_configuration_load_config_file(mocker, config) -> None:
def patch_exchange(mocker, api_mock=None, id='bittrex', mock_markets=True) -> None:
mocker.patch('freqtrade.exchange.Exchange._load_async_markets', MagicMock(return_value={}))
mocker.patch('freqtrade.exchange.Exchange._load_markets', MagicMock(return_value={}))
mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes', MagicMock())
@@ -162,7 +163,7 @@ def patch_get_signal(freqtrade: FreqtradeBot, value=(True, False)) -> None:
:param value: which value IStrategy.get_signal() must return
:return: None
"""
freqtrade.strategy.get_signal = lambda e, s, t: value
freqtrade.strategy.get_signal = lambda e, s, x: value
freqtrade.exchange.refresh_latest_ohlcv = lambda p: None
@@ -175,11 +176,13 @@ def create_mock_trades(fee):
pair='ETH/BTC',
stake_amount=0.001,
amount=123.0,
amount_requested=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
open_order_id='dry_run_buy_12345'
open_order_id='dry_run_buy_12345',
strategy='DefaultStrategy',
)
Trade.session.add(trade)
@@ -187,6 +190,7 @@ def create_mock_trades(fee):
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
amount_requested=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
@@ -194,7 +198,22 @@ def create_mock_trades(fee):
close_profit=0.005,
exchange='bittrex',
is_open=False,
open_order_id='dry_run_sell_12345'
open_order_id='dry_run_sell_12345',
strategy='DefaultStrategy',
)
Trade.session.add(trade)
trade = Trade(
pair='XRP/BTC',
stake_amount=0.001,
amount=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.05,
close_rate=0.06,
close_profit=0.01,
exchange='bittrex',
is_open=False,
)
Trade.session.add(trade)
@@ -203,11 +222,13 @@ def create_mock_trades(fee):
pair='ETC/BTC',
stake_amount=0.001,
amount=123.0,
amount_requested=124.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
open_order_id='prod_buy_12345'
open_order_id='prod_buy_12345',
strategy='DefaultStrategy',
)
Trade.session.add(trade)
@@ -247,7 +268,7 @@ def default_conf(testdatadir):
"stake_currency": "BTC",
"stake_amount": 0.001,
"fiat_display_currency": "USD",
"ticker_interval": '5m',
"timeframe": '5m',
"dry_run": True,
"cancel_open_orders_on_exit": False,
"minimal_roi": {
@@ -660,7 +681,8 @@ def shitcoinmarkets(markets):
Fixture with shitcoin markets - used to test filters in pairlists
"""
shitmarkets = deepcopy(markets)
shitmarkets.update({'HOT/BTC': {
shitmarkets.update({
'HOT/BTC': {
'id': 'HOTBTC',
'symbol': 'HOT/BTC',
'base': 'HOT',
@@ -765,7 +787,32 @@ def shitcoinmarkets(markets):
"spot": True,
"future": False,
"active": True
},
},
'ADADOUBLE/USDT': {
"percentage": True,
"tierBased": False,
"taker": 0.001,
"maker": 0.001,
"precision": {
"base": 8,
"quote": 8,
"amount": 2,
"price": 4
},
"limits": {
},
"id": "ADADOUBLEUSDT",
"symbol": "ADADOUBLE/USDT",
"base": "ADADOUBLE",
"quote": "USDT",
"baseId": "ADADOUBLE",
"quoteId": "USDT",
"info": {},
"type": "spot",
"spot": True,
"future": False,
"active": True
},
})
return shitmarkets
@@ -786,6 +833,7 @@ def limit_buy_order():
'price': 0.00001099,
'amount': 90.99181073,
'filled': 90.99181073,
'cost': 0.0009999,
'remaining': 0.0,
'status': 'closed'
}
@@ -1386,6 +1434,28 @@ def tickers():
"quoteVolume": 0.0,
"info": {}
},
"ADADOUBLE/USDT": {
"symbol": "ADADOUBLE/USDT",
"timestamp": 1580469388244,
"datetime": "2020-01-31T11:16:28.244Z",
"high": None,
"low": None,
"bid": 0.7305,
"bidVolume": None,
"ask": 0.7342,
"askVolume": None,
"vwap": None,
"open": None,
"close": None,
"last": 0,
"previousClose": None,
"change": None,
"percentage": 2.628,
"average": None,
"baseVolume": 0.0,
"quoteVolume": 0.0,
"info": {}
},
})
@@ -1423,7 +1493,7 @@ def trades_for_order():
@pytest.fixture(scope="function")
def trades_history():
return [[1565798399463, '126181329', None, 'buy', 0.019627, 0.04, 0.00078508],
return [[1565798389463, '126181329', None, 'buy', 0.019627, 0.04, 0.00078508],
[1565798399629, '126181330', None, 'buy', 0.019627, 0.244, 0.004788987999999999],
[1565798399752, '126181331', None, 'sell', 0.019626, 0.011, 0.00021588599999999999],
[1565798399862, '126181332', None, 'sell', 0.019626, 0.011, 0.00021588599999999999],
@@ -1590,6 +1660,7 @@ def buy_order_fee():
'datetime': str(arrow.utcnow().shift(minutes=-601).datetime),
'price': 0.245441,
'amount': 8.0,
'cost': 1.963528,
'remaining': 90.99181073,
'status': 'closed',
'fee': None

View File

@@ -6,24 +6,48 @@ from arrow import Arrow
from pandas import DataFrame, DateOffset, Timestamp, to_datetime
from freqtrade.configuration import TimeRange
from freqtrade.constants import LAST_BT_RESULT_FN
from freqtrade.data.btanalysis import (BT_DATA_COLUMNS,
analyze_trade_parallelism,
calculate_market_change,
calculate_max_drawdown,
combine_dataframes_with_mean,
create_cum_profit,
extract_trades_of_period,
get_latest_backtest_filename,
load_backtest_data, load_trades,
load_trades_from_db)
from freqtrade.data.history import load_data, load_pair_history
from freqtrade.optimize.backtesting import BacktestResult
from tests.conftest import create_mock_trades
def test_load_backtest_data(testdatadir):
def test_get_latest_backtest_filename(testdatadir, mocker):
with pytest.raises(ValueError, match=r"Directory .* does not exist\."):
get_latest_backtest_filename(testdatadir / 'does_not_exist')
with pytest.raises(ValueError,
match=r"Directory .* does not seem to contain .*"):
get_latest_backtest_filename(testdatadir.parent)
res = get_latest_backtest_filename(testdatadir)
assert res == 'backtest-result_new.json'
res = get_latest_backtest_filename(str(testdatadir))
assert res == 'backtest-result_new.json'
mocker.patch("freqtrade.data.btanalysis.json_load", return_value={})
with pytest.raises(ValueError, match=r"Invalid '.last_result.json' format."):
get_latest_backtest_filename(testdatadir)
def test_load_backtest_data_old_format(testdatadir):
filename = testdatadir / "backtest-result_test.json"
bt_data = load_backtest_data(filename)
assert isinstance(bt_data, DataFrame)
assert list(bt_data.columns) == BT_DATA_COLUMNS + ["profit"]
assert list(bt_data.columns) == BT_DATA_COLUMNS + ["profit_abs"]
assert len(bt_data) == 179
# Test loading from string (must yield same result)
@@ -34,6 +58,49 @@ def test_load_backtest_data(testdatadir):
load_backtest_data(str("filename") + "nofile")
def test_load_backtest_data_new_format(testdatadir):
filename = testdatadir / "backtest-result_new.json"
bt_data = load_backtest_data(filename)
assert isinstance(bt_data, DataFrame)
assert set(bt_data.columns) == set(list(BacktestResult._fields) + ["profit_abs"])
assert len(bt_data) == 179
# Test loading from string (must yield same result)
bt_data2 = load_backtest_data(str(filename))
assert bt_data.equals(bt_data2)
# Test loading from folder (must yield same result)
bt_data3 = load_backtest_data(testdatadir)
assert bt_data.equals(bt_data3)
with pytest.raises(ValueError, match=r"File .* does not exist\."):
load_backtest_data(str("filename") + "nofile")
with pytest.raises(ValueError, match=r"Unknown dataformat."):
load_backtest_data(testdatadir / LAST_BT_RESULT_FN)
def test_load_backtest_data_multi(testdatadir):
filename = testdatadir / "backtest-result_multistrat.json"
for strategy in ('DefaultStrategy', 'TestStrategy'):
bt_data = load_backtest_data(filename, strategy=strategy)
assert isinstance(bt_data, DataFrame)
assert set(bt_data.columns) == set(list(BacktestResult._fields) + ["profit_abs"])
assert len(bt_data) == 179
# Test loading from string (must yield same result)
bt_data2 = load_backtest_data(str(filename), strategy=strategy)
assert bt_data.equals(bt_data2)
with pytest.raises(ValueError, match=r"Strategy XYZ not available in the backtest result\."):
load_backtest_data(filename, strategy='XYZ')
with pytest.raises(ValueError, match=r"Detected backtest result with more than one strategy.*"):
load_backtest_data(filename)
@pytest.mark.usefixtures("init_persistence")
def test_load_trades_from_db(default_conf, fee, mocker):
@@ -43,15 +110,19 @@ def test_load_trades_from_db(default_conf, fee, mocker):
trades = load_trades_from_db(db_url=default_conf['db_url'])
assert init_mock.call_count == 1
assert len(trades) == 3
assert len(trades) == 4
assert isinstance(trades, DataFrame)
assert "pair" in trades.columns
assert "open_time" in trades.columns
assert "profitperc" in trades.columns
assert "open_date" in trades.columns
assert "profit_percent" in trades.columns
for col in BT_DATA_COLUMNS:
if col not in ['index', 'open_at_end']:
assert col in trades.columns
trades = load_trades_from_db(db_url=default_conf['db_url'], strategy='DefaultStrategy')
assert len(trades) == 3
trades = load_trades_from_db(db_url=default_conf['db_url'], strategy='NoneStrategy')
assert len(trades) == 0
def test_extract_trades_of_period(testdatadir):
@@ -66,13 +137,13 @@ def test_extract_trades_of_period(testdatadir):
{'pair': [pair, pair, pair, pair],
'profit_percent': [0.0, 0.1, -0.2, -0.5],
'profit_abs': [0.0, 1, -2, -5],
'open_time': to_datetime([Arrow(2017, 11, 13, 15, 40, 0).datetime,
'open_date': to_datetime([Arrow(2017, 11, 13, 15, 40, 0).datetime,
Arrow(2017, 11, 14, 9, 41, 0).datetime,
Arrow(2017, 11, 14, 14, 20, 0).datetime,
Arrow(2017, 11, 15, 3, 40, 0).datetime,
], utc=True
),
'close_time': to_datetime([Arrow(2017, 11, 13, 16, 40, 0).datetime,
'close_date': to_datetime([Arrow(2017, 11, 13, 16, 40, 0).datetime,
Arrow(2017, 11, 14, 10, 41, 0).datetime,
Arrow(2017, 11, 14, 15, 25, 0).datetime,
Arrow(2017, 11, 15, 3, 55, 0).datetime,
@@ -81,10 +152,10 @@ def test_extract_trades_of_period(testdatadir):
trades1 = extract_trades_of_period(data, trades)
# First and last trade are dropped as they are out of range
assert len(trades1) == 2
assert trades1.iloc[0].open_time == Arrow(2017, 11, 14, 9, 41, 0).datetime
assert trades1.iloc[0].close_time == Arrow(2017, 11, 14, 10, 41, 0).datetime
assert trades1.iloc[-1].open_time == Arrow(2017, 11, 14, 14, 20, 0).datetime
assert trades1.iloc[-1].close_time == Arrow(2017, 11, 14, 15, 25, 0).datetime
assert trades1.iloc[0].open_date == Arrow(2017, 11, 14, 9, 41, 0).datetime
assert trades1.iloc[0].close_date == Arrow(2017, 11, 14, 10, 41, 0).datetime
assert trades1.iloc[-1].open_date == Arrow(2017, 11, 14, 14, 20, 0).datetime
assert trades1.iloc[-1].close_date == Arrow(2017, 11, 14, 15, 25, 0).datetime
def test_analyze_trade_parallelism(default_conf, mocker, testdatadir):
@@ -105,7 +176,8 @@ def test_load_trades(default_conf, mocker):
load_trades("DB",
db_url=default_conf.get('db_url'),
exportfilename=default_conf.get('exportfilename'),
no_trades=False
no_trades=False,
strategy="DefaultStrategy",
)
assert db_mock.call_count == 1
@@ -135,6 +207,14 @@ def test_load_trades(default_conf, mocker):
assert bt_mock.call_count == 0
def test_calculate_market_change(testdatadir):
pairs = ["ETH/BTC", "ADA/BTC"]
data = load_data(datadir=testdatadir, pairs=pairs, timeframe='5m')
result = calculate_market_change(data)
assert isinstance(result, float)
assert pytest.approx(result) == 0.00955514
def test_combine_dataframes_with_mean(testdatadir):
pairs = ["ETH/BTC", "ADA/BTC"]
data = load_data(datadir=testdatadir, pairs=pairs, timeframe='5m')
@@ -165,7 +245,7 @@ def test_create_cum_profit1(testdatadir):
filename = testdatadir / "backtest-result_test.json"
bt_data = load_backtest_data(filename)
# Move close-time to "off" the candle, to make sure the logic still works
bt_data.loc[:, 'close_time'] = bt_data.loc[:, 'close_time'] + DateOffset(seconds=20)
bt_data.loc[:, 'close_date'] = bt_data.loc[:, 'close_date'] + DateOffset(seconds=20)
timerange = TimeRange.parse_timerange("20180110-20180112")
df = load_pair_history(pair="TRX/BTC", timeframe='5m',
@@ -178,6 +258,10 @@ def test_create_cum_profit1(testdatadir):
assert cum_profits.iloc[0]['cum_profits'] == 0
assert cum_profits.iloc[-1]['cum_profits'] == 0.0798005
with pytest.raises(ValueError, match='Trade dataframe empty.'):
create_cum_profit(df.set_index('date'), bt_data[bt_data["pair"] == 'NOTAPAIR'],
"cum_profits", timeframe="5m")
def test_calculate_max_drawdown(testdatadir):
filename = testdatadir / "backtest-result_test.json"
@@ -200,11 +284,11 @@ def test_calculate_max_drawdown2():
-0.033961, 0.010680, 0.010886, -0.029274, 0.011178, 0.010693, 0.010711]
dates = [Arrow(2020, 1, 1).shift(days=i) for i in range(len(values))]
df = DataFrame(zip(values, dates), columns=['profit', 'open_time'])
df = DataFrame(zip(values, dates), columns=['profit', 'open_date'])
# sort by profit and reset index
df = df.sort_values('profit').reset_index(drop=True)
df1 = df.copy()
drawdown, h, low = calculate_max_drawdown(df, date_col='open_time', value_col='profit')
drawdown, h, low = calculate_max_drawdown(df, date_col='open_date', value_col='profit')
# Ensure df has not been altered.
assert df.equals(df1)
@@ -213,6 +297,6 @@ def test_calculate_max_drawdown2():
assert h < low
assert drawdown == 0.091755
df = DataFrame(zip(values[:5], dates[:5]), columns=['profit', 'open_time'])
df = DataFrame(zip(values[:5], dates[:5]), columns=['profit', 'open_date'])
with pytest.raises(ValueError, match='No losing trade, therefore no drawdown.'):
calculate_max_drawdown(df, date_col='open_time', value_col='profit')
calculate_max_drawdown(df, date_col='open_date', value_col='profit')

View File

@@ -1,18 +1,19 @@
from datetime import datetime, timezone
from unittest.mock import MagicMock
from pandas import DataFrame
import pytest
from pandas import DataFrame
from freqtrade.data.dataprovider import DataProvider
from freqtrade.exceptions import ExchangeError, OperationalException
from freqtrade.pairlist.pairlistmanager import PairListManager
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.state import RunMode
from tests.conftest import get_patched_exchange
def test_ohlcv(mocker, default_conf, ohlcv_history):
default_conf["runmode"] = RunMode.DRY_RUN
timeframe = default_conf["ticker_interval"]
timeframe = default_conf["timeframe"]
exchange = get_patched_exchange(mocker, default_conf)
exchange._klines[("XRP/BTC", timeframe)] = ohlcv_history
exchange._klines[("UNITTEST/BTC", timeframe)] = ohlcv_history
@@ -53,47 +54,47 @@ def test_historic_ohlcv(mocker, default_conf, ohlcv_history):
def test_get_pair_dataframe(mocker, default_conf, ohlcv_history):
default_conf["runmode"] = RunMode.DRY_RUN
ticker_interval = default_conf["ticker_interval"]
timeframe = default_conf["timeframe"]
exchange = get_patched_exchange(mocker, default_conf)
exchange._klines[("XRP/BTC", ticker_interval)] = ohlcv_history
exchange._klines[("UNITTEST/BTC", ticker_interval)] = ohlcv_history
exchange._klines[("XRP/BTC", timeframe)] = ohlcv_history
exchange._klines[("UNITTEST/BTC", timeframe)] = ohlcv_history
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.DRY_RUN
assert ohlcv_history.equals(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval))
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
assert dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval) is not ohlcv_history
assert not dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval).empty
assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
assert ohlcv_history.equals(dp.get_pair_dataframe("UNITTEST/BTC", timeframe))
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", timeframe), DataFrame)
assert dp.get_pair_dataframe("UNITTEST/BTC", timeframe) is not ohlcv_history
assert not dp.get_pair_dataframe("UNITTEST/BTC", timeframe).empty
assert dp.get_pair_dataframe("NONESENSE/AAA", timeframe).empty
# Test with and without parameter
assert dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval)\
assert dp.get_pair_dataframe("UNITTEST/BTC", timeframe)\
.equals(dp.get_pair_dataframe("UNITTEST/BTC"))
default_conf["runmode"] = RunMode.LIVE
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.LIVE
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", timeframe), DataFrame)
assert dp.get_pair_dataframe("NONESENSE/AAA", timeframe).empty
historymock = MagicMock(return_value=ohlcv_history)
mocker.patch("freqtrade.data.dataprovider.load_pair_history", historymock)
default_conf["runmode"] = RunMode.BACKTEST
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.BACKTEST
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
# assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", timeframe), DataFrame)
# assert dp.get_pair_dataframe("NONESENSE/AAA", timeframe).empty
def test_available_pairs(mocker, default_conf, ohlcv_history):
exchange = get_patched_exchange(mocker, default_conf)
ticker_interval = default_conf["ticker_interval"]
exchange._klines[("XRP/BTC", ticker_interval)] = ohlcv_history
exchange._klines[("UNITTEST/BTC", ticker_interval)] = ohlcv_history
timeframe = default_conf["timeframe"]
exchange._klines[("XRP/BTC", timeframe)] = ohlcv_history
exchange._klines[("UNITTEST/BTC", timeframe)] = ohlcv_history
dp = DataProvider(default_conf, exchange)
assert len(dp.available_pairs) == 2
assert dp.available_pairs == [("XRP/BTC", ticker_interval), ("UNITTEST/BTC", ticker_interval), ]
assert dp.available_pairs == [("XRP/BTC", timeframe), ("UNITTEST/BTC", timeframe), ]
def test_refresh(mocker, default_conf, ohlcv_history):
@@ -101,10 +102,10 @@ def test_refresh(mocker, default_conf, ohlcv_history):
mocker.patch("freqtrade.exchange.Exchange.refresh_latest_ohlcv", refresh_mock)
exchange = get_patched_exchange(mocker, default_conf, id="binance")
ticker_interval = default_conf["ticker_interval"]
pairs = [("XRP/BTC", ticker_interval), ("UNITTEST/BTC", ticker_interval)]
timeframe = default_conf["timeframe"]
pairs = [("XRP/BTC", timeframe), ("UNITTEST/BTC", timeframe)]
pairs_non_trad = [("ETH/USDT", ticker_interval), ("BTC/TUSD", "1h")]
pairs_non_trad = [("ETH/USDT", timeframe), ("BTC/TUSD", "1h")]
dp = DataProvider(default_conf, exchange)
dp.refresh(pairs)
@@ -164,7 +165,7 @@ def test_ticker(mocker, default_conf, tickers):
assert 'symbol' in res
assert res['symbol'] == 'ETH/BTC'
ticker_mock = MagicMock(side_effect=DependencyException('Pair not found'))
ticker_mock = MagicMock(side_effect=ExchangeError('Pair not found'))
mocker.patch("freqtrade.exchange.Exchange.fetch_ticker", ticker_mock)
exchange = get_patched_exchange(mocker, default_conf)
dp = DataProvider(default_conf, exchange)
@@ -194,3 +195,29 @@ def test_current_whitelist(mocker, default_conf, tickers):
with pytest.raises(OperationalException):
dp = DataProvider(default_conf, exchange)
dp.current_whitelist()
def test_get_analyzed_dataframe(mocker, default_conf, ohlcv_history):
default_conf["runmode"] = RunMode.DRY_RUN
timeframe = default_conf["timeframe"]
exchange = get_patched_exchange(mocker, default_conf)
dp = DataProvider(default_conf, exchange)
dp._set_cached_df("XRP/BTC", timeframe, ohlcv_history)
dp._set_cached_df("UNITTEST/BTC", timeframe, ohlcv_history)
assert dp.runmode == RunMode.DRY_RUN
dataframe, time = dp.get_analyzed_dataframe("UNITTEST/BTC", timeframe)
assert ohlcv_history.equals(dataframe)
assert isinstance(time, datetime)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert ohlcv_history.equals(dataframe)
assert isinstance(time, datetime)
dataframe, time = dp.get_analyzed_dataframe("NOTHING/BTC", timeframe)
assert dataframe.empty
assert isinstance(time, datetime)
assert time == datetime(1970, 1, 1, tzinfo=timezone.utc)

View File

@@ -36,7 +36,7 @@ def _backup_file(file: Path, copy_file: bool = False) -> None:
"""
Backup existing file to avoid deleting the user file
:param file: complete path to the file
:param touch_file: create an empty file in replacement
:param copy_file: keep file in place too.
:return: None
"""
file_swp = str(file) + '.swp'
@@ -354,7 +354,7 @@ def test_init(default_conf, mocker) -> None:
assert {} == load_data(
datadir=Path(''),
pairs=[],
timeframe=default_conf['ticker_interval']
timeframe=default_conf['timeframe']
)
@@ -363,13 +363,13 @@ def test_init_with_refresh(default_conf, mocker) -> None:
refresh_data(
datadir=Path(''),
pairs=[],
timeframe=default_conf['ticker_interval'],
timeframe=default_conf['timeframe'],
exchange=exchange
)
assert {} == load_data(
datadir=Path(''),
pairs=[],
timeframe=default_conf['ticker_interval']
timeframe=default_conf['timeframe']
)
@@ -557,6 +557,7 @@ def test_download_trades_history(trades_history, mocker, default_conf, testdatad
assert ght_mock.call_count == 1
# Check this in seconds - since we had to convert to seconds above too.
assert int(ght_mock.call_args_list[0][1]['since'] // 1000) == since_time2 - 5
assert ght_mock.call_args_list[0][1]['from_id'] is not None
# clean files freshly downloaded
_clean_test_file(file1)
@@ -568,6 +569,27 @@ def test_download_trades_history(trades_history, mocker, default_conf, testdatad
pair='ETH/BTC')
assert log_has_re('Failed to download historic trades for pair: "ETH/BTC".*', caplog)
file2 = testdatadir / 'XRP_ETH-trades.json.gz'
_backup_file(file2, True)
ght_mock.reset_mock()
mocker.patch('freqtrade.exchange.Exchange.get_historic_trades',
ght_mock)
# Since before first start date
since_time = int(trades_history[0][0] // 1000) - 500
timerange = TimeRange('date', None, since_time, 0)
assert _download_trades_history(data_handler=data_handler, exchange=exchange,
pair='XRP/ETH', timerange=timerange)
assert ght_mock.call_count == 1
assert int(ght_mock.call_args_list[0][1]['since'] // 1000) == since_time
assert ght_mock.call_args_list[0][1]['from_id'] is None
assert log_has_re(r'Start earlier than available data. Redownloading trades for.*', caplog)
_clean_test_file(file2)
def test_convert_trades_to_ohlcv(mocker, default_conf, testdatadir, caplog):
@@ -609,6 +631,20 @@ def test_jsondatahandler_ohlcv_get_pairs(testdatadir):
assert set(pairs) == {'UNITTEST/BTC'}
def test_jsondatahandler_ohlcv_get_available_data(testdatadir):
paircombs = JsonDataHandler.ohlcv_get_available_data(testdatadir)
# Convert to set to avoid failures due to sorting
assert set(paircombs) == {('UNITTEST/BTC', '5m'), ('ETH/BTC', '5m'), ('XLM/BTC', '5m'),
('TRX/BTC', '5m'), ('LTC/BTC', '5m'), ('XMR/BTC', '5m'),
('ZEC/BTC', '5m'), ('UNITTEST/BTC', '1m'), ('ADA/BTC', '5m'),
('ETC/BTC', '5m'), ('NXT/BTC', '5m'), ('DASH/BTC', '5m'),
('XRP/ETH', '1m'), ('XRP/ETH', '5m'), ('UNITTEST/BTC', '30m'),
('UNITTEST/BTC', '8m')}
paircombs = JsonGzDataHandler.ohlcv_get_available_data(testdatadir)
assert set(paircombs) == {('UNITTEST/BTC', '8m')}
def test_jsondatahandler_trades_get_pairs(testdatadir):
pairs = JsonGzDataHandler.trades_get_pairs(testdatadir)
# Convert to set to avoid failures due to sorting

View File

@@ -27,7 +27,7 @@ from tests.optimize import (BTContainer, BTrade, _build_backtest_dataframe,
####################################################################
tests_start_time = arrow.get(2018, 10, 3)
ticker_interval_in_minute = 60
timeframe_in_minute = 60
_ohlc = {'date': 0, 'buy': 1, 'open': 2, 'high': 3, 'low': 4, 'close': 5, 'sell': 6, 'volume': 7}
# Helpers for this test file
@@ -49,7 +49,7 @@ def _build_dataframe(buy_ohlc_sell_matrice):
'date': tests_start_time.shift(
minutes=(
ohlc[0] *
ticker_interval_in_minute)).timestamp *
timeframe_in_minute)).timestamp *
1000,
'buy': ohlc[1],
'open': ohlc[2],
@@ -70,7 +70,7 @@ def _build_dataframe(buy_ohlc_sell_matrice):
def _time_on_candle(number):
return np.datetime64(tests_start_time.shift(
minutes=(number * ticker_interval_in_minute)).timestamp * 1000, 'ms')
minutes=(number * timeframe_in_minute)).timestamp * 1000, 'ms')
# End helper functions
@@ -163,8 +163,8 @@ def test_edge_results(edge_conf, mocker, caplog, data) -> None:
for c, trade in enumerate(data.trades):
res = results.iloc[c]
assert res.exit_type == trade.sell_reason
assert res.open_time == _get_frame_time_from_offset(trade.open_tick).replace(tzinfo=None)
assert res.close_time == _get_frame_time_from_offset(trade.close_tick).replace(tzinfo=None)
assert res.open_date == _get_frame_time_from_offset(trade.open_tick).replace(tzinfo=None)
assert res.close_date == _get_frame_time_from_offset(trade.close_tick).replace(tzinfo=None)
def test_adjust(mocker, edge_conf):
@@ -262,7 +262,7 @@ def mocked_load_data(datadir, pairs=[], timeframe='0m',
NEOBTC = [
[
tests_start_time.shift(minutes=(x * ticker_interval_in_minute)).timestamp * 1000,
tests_start_time.shift(minutes=(x * timeframe_in_minute)).timestamp * 1000,
math.sin(x * hz) / 1000 + base,
math.sin(x * hz) / 1000 + base + 0.0001,
math.sin(x * hz) / 1000 + base - 0.0001,
@@ -274,7 +274,7 @@ def mocked_load_data(datadir, pairs=[], timeframe='0m',
base = 0.002
LTCBTC = [
[
tests_start_time.shift(minutes=(x * ticker_interval_in_minute)).timestamp * 1000,
tests_start_time.shift(minutes=(x * timeframe_in_minute)).timestamp * 1000,
math.sin(x * hz) / 1000 + base,
math.sin(x * hz) / 1000 + base + 0.0001,
math.sin(x * hz) / 1000 + base - 0.0001,
@@ -354,10 +354,8 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_time': np.datetime64('2018-10-03T00:05:00.000000000'),
'close_time': np.datetime64('2018-10-03T00:10:00.000000000'),
'open_index': 1,
'close_index': 1,
'open_date': np.datetime64('2018-10-03T00:05:00.000000000'),
'close_date': np.datetime64('2018-10-03T00:10:00.000000000'),
'trade_duration': '',
'open_rate': 17,
'close_rate': 17,
@@ -367,10 +365,8 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_time': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_time': np.datetime64('2018-10-03T00:25:00.000000000'),
'open_index': 4,
'close_index': 4,
'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
'trade_duration': '',
'open_rate': 20,
'close_rate': 20,
@@ -380,10 +376,8 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_time': np.datetime64('2018-10-03T00:30:00.000000000'),
'close_time': np.datetime64('2018-10-03T00:40:00.000000000'),
'open_index': 6,
'close_index': 7,
'open_date': np.datetime64('2018-10-03T00:30:00.000000000'),
'close_date': np.datetime64('2018-10-03T00:40:00.000000000'),
'trade_duration': '',
'open_rate': 26,
'close_rate': 34,
@@ -409,3 +403,98 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc
final = edge._process_expectancy(trades_df)
assert len(final) == 0
assert isinstance(final, dict)
def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,):
edge_conf['edge']['min_trade_number'] = 2
edge_conf['edge']['remove_pumps'] = True
freqtrade = get_patched_freqtradebot(mocker, edge_conf)
freqtrade.exchange.get_fee = fee
edge = Edge(edge_conf, freqtrade.exchange, freqtrade.strategy)
trades = [
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_date': np.datetime64('2018-10-03T00:05:00.000000000'),
'close_date': np.datetime64('2018-10-03T00:10:00.000000000'),
'open_index': 1,
'close_index': 1,
'trade_duration': '',
'open_rate': 17,
'close_rate': 15,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
'open_index': 4,
'close_index': 4,
'trade_duration': '',
'open_rate': 20,
'close_rate': 10,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
'open_index': 4,
'close_index': 4,
'trade_duration': '',
'open_rate': 20,
'close_rate': 10,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
'open_index': 4,
'close_index': 4,
'trade_duration': '',
'open_rate': 20,
'close_rate': 10,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
'open_index': 4,
'close_index': 4,
'trade_duration': '',
'open_rate': 20,
'close_rate': 10,
'exit_type': 'sell_signal'},
{'pair': 'TEST/BTC',
'stoploss': -0.9,
'profit_percent': '',
'profit_abs': '',
'open_date': np.datetime64('2018-10-03T00:30:00.000000000'),
'close_date': np.datetime64('2018-10-03T00:40:00.000000000'),
'open_index': 6,
'close_index': 7,
'trade_duration': '',
'open_rate': 26,
'close_rate': 134,
'exit_type': 'sell_signal'}
]
trades_df = DataFrame(trades)
trades_df = edge._fill_calculable_fields(trades_df)
final = edge._process_expectancy(trades_df)
assert 'TEST/BTC' in final
assert final['TEST/BTC'].stoploss == -0.9
assert final['TEST/BTC'].nb_trades == len(trades_df) - 1
assert round(final['TEST/BTC'].winrate, 10) == 0.0

View File

@@ -5,8 +5,9 @@ import ccxt
import pytest
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
OperationalException)
from tests.conftest import get_patched_exchange
from tests.exchange.test_exchange import ccxt_exceptionhandlers
@pytest.mark.parametrize('limitratio,expected', [
@@ -62,15 +63,9 @@ def test_stoploss_order_binance(default_conf, mocker, limitratio, expected):
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
with pytest.raises(TemporaryError):
api_mock.create_order = MagicMock(side_effect=ccxt.NetworkError("No connection"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
with pytest.raises(OperationalException, match=r".*DeadBeef.*"):
api_mock.create_order = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'binance')
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
ccxt_exceptionhandlers(mocker, default_conf, api_mock, "binance",
"stoploss", "create_order", retries=1,
pair='ETH/BTC', amount=1, stop_price=220, order_types={})
def test_stoploss_order_dry_run_binance(default_conf, mocker):

View File

@@ -4,18 +4,19 @@ import copy
import logging
from datetime import datetime, timezone
from random import randint
from unittest.mock import MagicMock, Mock, PropertyMock
from unittest.mock import MagicMock, Mock, PropertyMock, patch
import arrow
import ccxt
import pytest
from pandas import DataFrame
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exceptions import (DDosProtection, DependencyException,
InvalidOrderException, OperationalException,
TemporaryError)
from freqtrade.exchange import Binance, Exchange, Kraken
from freqtrade.exchange.common import API_RETRY_COUNT
from freqtrade.exchange.exchange import (market_is_active, symbol_is_pair,
from freqtrade.exchange.common import API_RETRY_COUNT, calculate_backoff
from freqtrade.exchange.exchange import (market_is_active,
timeframe_to_minutes,
timeframe_to_msecs,
timeframe_to_next_date,
@@ -25,7 +26,7 @@ from freqtrade.resolvers.exchange_resolver import ExchangeResolver
from tests.conftest import get_patched_exchange, log_has, log_has_re
# Make sure to always keep one exchange here which is NOT subclassed!!
EXCHANGES = ['bittrex', 'binance', 'kraken', ]
EXCHANGES = ['bittrex', 'binance', 'kraken', 'ftx']
# Source: https://stackoverflow.com/questions/29881236/how-to-mock-asyncio-coroutines
@@ -37,12 +38,20 @@ def get_mock_coro(return_value):
def ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
fun, mock_ccxt_fun, **kwargs):
fun, mock_ccxt_fun, retries=API_RETRY_COUNT + 1, **kwargs):
with patch('freqtrade.exchange.common.time.sleep'):
with pytest.raises(DDosProtection):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.DDoSProtection("DDos"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
with pytest.raises(TemporaryError):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.NetworkError("DeaDBeef"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == API_RETRY_COUNT + 1
assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
with pytest.raises(OperationalException):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
@@ -51,12 +60,21 @@ def ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
assert api_mock.__dict__[mock_ccxt_fun].call_count == 1
async def async_ccxt_exception(mocker, default_conf, api_mock, fun, mock_ccxt_fun, **kwargs):
async def async_ccxt_exception(mocker, default_conf, api_mock, fun, mock_ccxt_fun,
retries=API_RETRY_COUNT + 1, **kwargs):
with patch('freqtrade.exchange.common.asyncio.sleep', get_mock_coro(None)):
with pytest.raises(DDosProtection):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.DDoSProtection("Dooh"))
exchange = get_patched_exchange(mocker, default_conf, api_mock)
await getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
with pytest.raises(TemporaryError):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.NetworkError("DeadBeef"))
exchange = get_patched_exchange(mocker, default_conf, api_mock)
await getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == API_RETRY_COUNT + 1
assert api_mock.__dict__[mock_ccxt_fun].call_count == retries
with pytest.raises(OperationalException):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
@@ -88,15 +106,19 @@ def test_init_ccxt_kwargs(default_conf, mocker, caplog):
caplog.clear()
conf = copy.deepcopy(default_conf)
conf['exchange']['ccxt_config'] = {'TestKWARG': 11}
conf['exchange']['ccxt_sync_config'] = {'TestKWARG44': 11}
conf['exchange']['ccxt_async_config'] = {'asyncio_loop': True}
asynclogmsg = "Applying additional ccxt config: {'TestKWARG': 11, 'asyncio_loop': True}"
ex = Exchange(conf)
assert not log_has("Applying additional ccxt config: {'aiohttp_trust_env': True}", caplog)
assert not ex._api_async.aiohttp_trust_env
assert hasattr(ex._api, 'TestKWARG')
assert ex._api.TestKWARG == 11
assert not hasattr(ex._api_async, 'TestKWARG')
assert log_has("Applying additional ccxt config: {'TestKWARG': 11}", caplog)
# ccxt_config is assigned to both sync and async
assert not hasattr(ex._api_async, 'TestKWARG44')
assert hasattr(ex._api_async, 'TestKWARG')
assert log_has("Applying additional ccxt config: {'TestKWARG': 11, 'TestKWARG44': 11}", caplog)
assert log_has(asynclogmsg, caplog)
def test_destroy(default_conf, mocker, caplog):
@@ -315,7 +337,12 @@ def test_set_sandbox_exception(default_conf, mocker):
def test__load_async_markets(default_conf, mocker, caplog):
exchange = get_patched_exchange(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange._init_ccxt')
mocker.patch('freqtrade.exchange.Exchange.validate_pairs')
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes')
mocker.patch('freqtrade.exchange.Exchange._load_markets')
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
exchange = Exchange(default_conf)
exchange._api_async.load_markets = get_mock_coro(None)
exchange._load_async_markets()
assert exchange._api_async.load_markets.call_count == 1
@@ -348,7 +375,7 @@ def test__load_markets(default_conf, mocker, caplog):
assert ex.markets == expected_return
def test__reload_markets(default_conf, mocker, caplog):
def test_reload_markets(default_conf, mocker, caplog):
caplog.set_level(logging.DEBUG)
initial_markets = {'ETH/BTC': {}}
@@ -361,23 +388,26 @@ def test__reload_markets(default_conf, mocker, caplog):
default_conf['exchange']['markets_refresh_interval'] = 10
exchange = get_patched_exchange(mocker, default_conf, api_mock, id="binance",
mock_markets=False)
exchange._load_async_markets = MagicMock()
exchange._last_markets_refresh = arrow.utcnow().timestamp
updated_markets = {'ETH/BTC': {}, "LTC/BTC": {}}
assert exchange.markets == initial_markets
# less than 10 minutes have passed, no reload
exchange._reload_markets()
exchange.reload_markets()
assert exchange.markets == initial_markets
assert exchange._load_async_markets.call_count == 0
# more than 10 minutes have passed, reload is executed
exchange._last_markets_refresh = arrow.utcnow().timestamp - 15 * 60
exchange._reload_markets()
exchange.reload_markets()
assert exchange.markets == updated_markets
assert exchange._load_async_markets.call_count == 1
assert log_has('Performing scheduled market reload..', caplog)
def test__reload_markets_exception(default_conf, mocker, caplog):
def test_reload_markets_exception(default_conf, mocker, caplog):
caplog.set_level(logging.DEBUG)
api_mock = MagicMock()
@@ -386,7 +416,7 @@ def test__reload_markets_exception(default_conf, mocker, caplog):
exchange = get_patched_exchange(mocker, default_conf, api_mock, id="binance")
# less than 10 minutes have passed, no reload
exchange._reload_markets()
exchange.reload_markets()
assert exchange._last_markets_refresh == 0
assert log_has_re(r"Could not reload markets.*", caplog)
@@ -574,7 +604,7 @@ def test_validate_pairs_stakecompatibility_fail(default_conf, mocker, caplog):
('5m'), ("1m"), ("15m"), ("1h")
])
def test_validate_timeframes(default_conf, mocker, timeframe):
default_conf["ticker_interval"] = timeframe
default_conf["timeframe"] = timeframe
api_mock = MagicMock()
id_mock = PropertyMock(return_value='test_exchange')
type(api_mock).id = id_mock
@@ -592,7 +622,7 @@ def test_validate_timeframes(default_conf, mocker, timeframe):
def test_validate_timeframes_failed(default_conf, mocker):
default_conf["ticker_interval"] = "3m"
default_conf["timeframe"] = "3m"
api_mock = MagicMock()
id_mock = PropertyMock(return_value='test_exchange')
type(api_mock).id = id_mock
@@ -609,7 +639,7 @@ def test_validate_timeframes_failed(default_conf, mocker):
with pytest.raises(OperationalException,
match=r"Invalid timeframe '3m'. This exchange supports.*"):
Exchange(default_conf)
default_conf["ticker_interval"] = "15s"
default_conf["timeframe"] = "15s"
with pytest.raises(OperationalException,
match=r"Timeframes < 1m are currently not supported by Freqtrade."):
@@ -617,7 +647,7 @@ def test_validate_timeframes_failed(default_conf, mocker):
def test_validate_timeframes_emulated_ohlcv_1(default_conf, mocker):
default_conf["ticker_interval"] = "3m"
default_conf["timeframe"] = "3m"
api_mock = MagicMock()
id_mock = PropertyMock(return_value='test_exchange')
type(api_mock).id = id_mock
@@ -637,7 +667,7 @@ def test_validate_timeframes_emulated_ohlcv_1(default_conf, mocker):
def test_validate_timeframes_emulated_ohlcvi_2(default_conf, mocker):
default_conf["ticker_interval"] = "3m"
default_conf["timeframe"] = "3m"
api_mock = MagicMock()
id_mock = PropertyMock(return_value='test_exchange')
type(api_mock).id = id_mock
@@ -658,7 +688,7 @@ def test_validate_timeframes_emulated_ohlcvi_2(default_conf, mocker):
def test_validate_timeframes_not_in_config(default_conf, mocker):
del default_conf["ticker_interval"]
del default_conf["timeframe"]
api_mock = MagicMock()
id_mock = PropertyMock(return_value='test_exchange')
type(api_mock).id = id_mock
@@ -685,13 +715,13 @@ def test_validate_order_types(default_conf, mocker):
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes')
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
mocker.patch('freqtrade.exchange.Exchange.name', 'Bittrex')
default_conf['order_types'] = {
'buy': 'limit',
'sell': 'limit',
'stoploss': 'market',
'stoploss_on_exchange': False
}
Exchange(default_conf)
type(api_mock).has = PropertyMock(return_value={'createMarketOrder': False})
@@ -701,9 +731,8 @@ def test_validate_order_types(default_conf, mocker):
'buy': 'limit',
'sell': 'limit',
'stoploss': 'market',
'stoploss_on_exchange': 'false'
'stoploss_on_exchange': False
}
with pytest.raises(OperationalException,
match=r'Exchange .* does not support market orders.'):
Exchange(default_conf)
@@ -714,7 +743,6 @@ def test_validate_order_types(default_conf, mocker):
'stoploss': 'limit',
'stoploss_on_exchange': True
}
with pytest.raises(OperationalException,
match=r'On exchange stoploss is not supported for .*'):
Exchange(default_conf)
@@ -1115,9 +1143,10 @@ def test_get_balance_prod(default_conf, mocker, exchange_name):
exchange.get_balance(currency='BTC')
def test_get_balances_dry_run(default_conf, mocker):
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_balances_dry_run(default_conf, mocker, exchange_name):
default_conf['dry_run'] = True
exchange = get_patched_exchange(mocker, default_conf)
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
assert exchange.get_balances() == {}
@@ -1254,7 +1283,8 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
# one_call calculation * 1.8 should do 2 calls
since = 5 * 60 * 500 * 1.8
since = 5 * 60 * exchange._ft_has['ohlcv_candle_limit'] * 1.8
ret = exchange.get_historic_ohlcv(pair, "5m", int((arrow.utcnow().timestamp - since) * 1000))
assert exchange._async_get_candle_history.call_count == 2
@@ -1346,7 +1376,7 @@ async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_
# exchange = Exchange(default_conf)
await async_ccxt_exception(mocker, default_conf, MagicMock(),
"_async_get_candle_history", "fetch_ohlcv",
pair='ABCD/BTC', timeframe=default_conf['ticker_interval'])
pair='ABCD/BTC', timeframe=default_conf['timeframe'])
api_mock = MagicMock()
with pytest.raises(OperationalException,
@@ -1413,13 +1443,13 @@ def test_refresh_latest_ohlcv_inv_result(default_conf, mocker, caplog):
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_order_book(default_conf, mocker, order_book_l2, exchange_name):
def test_fetch_l2_order_book(default_conf, mocker, order_book_l2, exchange_name):
default_conf['exchange']['name'] = exchange_name
api_mock = MagicMock()
api_mock.fetch_l2_order_book = order_book_l2
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
order_book = exchange.get_order_book(pair='ETH/BTC', limit=10)
order_book = exchange.fetch_l2_order_book(pair='ETH/BTC', limit=10)
assert 'bids' in order_book
assert 'asks' in order_book
assert len(order_book['bids']) == 10
@@ -1427,20 +1457,20 @@ def test_get_order_book(default_conf, mocker, order_book_l2, exchange_name):
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_order_book_exception(default_conf, mocker, exchange_name):
def test_fetch_l2_order_book_exception(default_conf, mocker, exchange_name):
api_mock = MagicMock()
with pytest.raises(OperationalException):
api_mock.fetch_l2_order_book = MagicMock(side_effect=ccxt.NotSupported("Not supported"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.get_order_book(pair='ETH/BTC', limit=50)
exchange.fetch_l2_order_book(pair='ETH/BTC', limit=50)
with pytest.raises(TemporaryError):
api_mock.fetch_l2_order_book = MagicMock(side_effect=ccxt.NetworkError("DeadBeef"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.get_order_book(pair='ETH/BTC', limit=50)
exchange.fetch_l2_order_book(pair='ETH/BTC', limit=50)
with pytest.raises(OperationalException):
api_mock.fetch_l2_order_book = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.get_order_book(pair='ETH/BTC', limit=50)
exchange.fetch_l2_order_book(pair='ETH/BTC', limit=50)
def make_fetch_ohlcv_mock(data):
@@ -1476,7 +1506,7 @@ async def test___async_get_candle_history_sort(default_conf, mocker, exchange_na
exchange._api_async.fetch_ohlcv = get_mock_coro(ohlcv)
sort_mock = mocker.patch('freqtrade.exchange.exchange.sorted', MagicMock(side_effect=sort_data))
# Test the OHLCV data sort
res = await exchange._async_get_candle_history('ETH/BTC', default_conf['ticker_interval'])
res = await exchange._async_get_candle_history('ETH/BTC', default_conf['timeframe'])
assert res[0] == 'ETH/BTC'
res_ohlcv = res[2]
@@ -1513,9 +1543,9 @@ async def test___async_get_candle_history_sort(default_conf, mocker, exchange_na
# Reset sort mock
sort_mock = mocker.patch('freqtrade.exchange.sorted', MagicMock(side_effect=sort_data))
# Test the OHLCV data sort
res = await exchange._async_get_candle_history('ETH/BTC', default_conf['ticker_interval'])
res = await exchange._async_get_candle_history('ETH/BTC', default_conf['timeframe'])
assert res[0] == 'ETH/BTC'
assert res[1] == default_conf['ticker_interval']
assert res[1] == default_conf['timeframe']
res_ohlcv = res[2]
# Sorted not called again - data is already in order
assert sort_mock.call_count == 0
@@ -1729,6 +1759,7 @@ def test_cancel_order_dry_run(default_conf, mocker, exchange_name):
default_conf['dry_run'] = True
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
assert exchange.cancel_order(order_id='123', pair='TKN/BTC') == {}
assert exchange.cancel_stoploss_order(order_id='123', pair='TKN/BTC') == {}
@pytest.mark.parametrize("exchange_name", EXCHANGES)
@@ -1788,7 +1819,7 @@ def test_cancel_order_with_result_error(default_conf, mocker, exchange_name, cap
res = exchange.cancel_order_with_result('1234', 'ETH/BTC', 1541)
assert isinstance(res, dict)
assert log_has("Could not cancel order 1234.", caplog)
assert log_has("Could not cancel order 1234 for ETH/BTC.", caplog)
assert log_has("Could not fetch cancelled order 1234.", caplog)
assert res['amount'] == 1541
@@ -1814,31 +1845,95 @@ def test_cancel_order(default_conf, mocker, exchange_name):
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_order(default_conf, mocker, exchange_name):
def test_cancel_stoploss_order(default_conf, mocker, exchange_name):
default_conf['dry_run'] = False
api_mock = MagicMock()
api_mock.cancel_order = MagicMock(return_value=123)
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
assert exchange.cancel_stoploss_order(order_id='_', pair='TKN/BTC') == 123
with pytest.raises(InvalidOrderException):
api_mock.cancel_order = MagicMock(side_effect=ccxt.InvalidOrder("Did not find order"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.cancel_stoploss_order(order_id='_', pair='TKN/BTC')
assert api_mock.cancel_order.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
"cancel_stoploss_order", "cancel_order",
order_id='_', pair='TKN/BTC')
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_fetch_order(default_conf, mocker, exchange_name):
default_conf['dry_run'] = True
order = MagicMock()
order.myid = 123
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
exchange._dry_run_open_orders['X'] = order
assert exchange.get_order('X', 'TKN/BTC').myid == 123
assert exchange.fetch_order('X', 'TKN/BTC').myid == 123
with pytest.raises(InvalidOrderException, match=r'Tried to get an invalid dry-run-order.*'):
exchange.get_order('Y', 'TKN/BTC')
exchange.fetch_order('Y', 'TKN/BTC')
default_conf['dry_run'] = False
api_mock = MagicMock()
api_mock.fetch_order = MagicMock(return_value=456)
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
assert exchange.get_order('X', 'TKN/BTC') == 456
assert exchange.fetch_order('X', 'TKN/BTC') == 456
with pytest.raises(InvalidOrderException):
api_mock.fetch_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.get_order(order_id='_', pair='TKN/BTC')
exchange.fetch_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == 1
api_mock.fetch_order = MagicMock(side_effect=ccxt.OrderNotFound("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
with patch('freqtrade.exchange.common.time.sleep') as tm:
with pytest.raises(InvalidOrderException):
exchange.fetch_order(order_id='_', pair='TKN/BTC')
# Ensure backoff is called
assert tm.call_args_list[0][0][0] == 1
assert tm.call_args_list[1][0][0] == 2
assert tm.call_args_list[2][0][0] == 5
assert tm.call_args_list[3][0][0] == 10
assert api_mock.fetch_order.call_count == 6
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
'fetch_order', 'fetch_order', retries=6,
order_id='_', pair='TKN/BTC')
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_fetch_stoploss_order(default_conf, mocker, exchange_name):
# Don't test FTX here - that needs a seperate test
if exchange_name == 'ftx':
return
default_conf['dry_run'] = True
order = MagicMock()
order.myid = 123
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
exchange._dry_run_open_orders['X'] = order
assert exchange.fetch_stoploss_order('X', 'TKN/BTC').myid == 123
with pytest.raises(InvalidOrderException, match=r'Tried to get an invalid dry-run-order.*'):
exchange.fetch_stoploss_order('Y', 'TKN/BTC')
default_conf['dry_run'] = False
api_mock = MagicMock()
api_mock.fetch_order = MagicMock(return_value=456)
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
assert exchange.fetch_stoploss_order('X', 'TKN/BTC') == 456
with pytest.raises(InvalidOrderException):
api_mock.fetch_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.fetch_stoploss_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
'get_order', 'fetch_order',
'fetch_stoploss_order', 'fetch_order',
retries=6,
order_id='_', pair='TKN/BTC')
@@ -2046,6 +2141,13 @@ def test_get_markets(default_conf, mocker, markets,
assert sorted(pairs.keys()) == sorted(expected_keys)
def test_get_markets_error(default_conf, mocker):
ex = get_patched_exchange(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.markets', PropertyMock(return_value=None))
with pytest.raises(OperationalException, match="Markets were not loaded."):
ex.get_markets('LTC', 'USDT', True, False)
def test_timeframe_to_minutes():
assert timeframe_to_minutes("5m") == 5
assert timeframe_to_minutes("10m") == 10
@@ -2117,25 +2219,42 @@ def test_timeframe_to_next_date():
assert timeframe_to_next_date("5m") > date
@pytest.mark.parametrize("market_symbol,base_currency,quote_currency,expected_result", [
("BTC/USDT", None, None, True),
("USDT/BTC", None, None, True),
("BTCUSDT", None, None, False),
("BTC/USDT", None, "USDT", True),
("USDT/BTC", None, "USDT", False),
("BTCUSDT", None, "USDT", False),
("BTC/USDT", "BTC", None, True),
("USDT/BTC", "BTC", None, False),
("BTCUSDT", "BTC", None, False),
("BTC/USDT", "BTC", "USDT", True),
("BTC/USDT", "USDT", "BTC", False),
("BTC/USDT", "BTC", "USD", False),
("BTCUSDT", "BTC", "USDT", False),
("BTC/", None, None, False),
("/USDT", None, None, False),
@pytest.mark.parametrize("market_symbol,base,quote,exchange,add_dict,expected_result", [
("BTC/USDT", 'BTC', 'USDT', "binance", {}, True),
("USDT/BTC", 'USDT', 'BTC', "binance", {}, True),
("USDT/BTC", 'BTC', 'USDT', "binance", {}, False), # Reversed currencies
("BTCUSDT", 'BTC', 'USDT', "binance", {}, False), # No seperating /
("BTCUSDT", None, "USDT", "binance", {}, False), #
("USDT/BTC", "BTC", None, "binance", {}, False),
("BTCUSDT", "BTC", None, "binance", {}, False),
("BTC/USDT", "BTC", "USDT", "binance", {}, True),
("BTC/USDT", "USDT", "BTC", "binance", {}, False), # reversed currencies
("BTC/USDT", "BTC", "USD", "binance", {}, False), # Wrong quote currency
("BTC/", "BTC", 'UNK', "binance", {}, False),
("/USDT", 'UNK', 'USDT', "binance", {}, False),
("BTC/EUR", 'BTC', 'EUR', "kraken", {"darkpool": False}, True),
("EUR/BTC", 'EUR', 'BTC', "kraken", {"darkpool": False}, True),
("EUR/BTC", 'BTC', 'EUR', "kraken", {"darkpool": False}, False), # Reversed currencies
("BTC/EUR", 'BTC', 'USD', "kraken", {"darkpool": False}, False), # wrong quote currency
("BTC/EUR", 'BTC', 'EUR', "kraken", {"darkpool": True}, False), # no darkpools
("BTC/EUR.d", 'BTC', 'EUR', "kraken", {"darkpool": True}, False), # no darkpools
("BTC/USD", 'BTC', 'USD', "ftx", {'spot': True}, True),
("USD/BTC", 'USD', 'BTC', "ftx", {'spot': True}, True),
("BTC/USD", 'BTC', 'USDT', "ftx", {'spot': True}, False), # Wrong quote currency
("BTC/USD", 'USD', 'BTC', "ftx", {'spot': True}, False), # Reversed currencies
("BTC/USD", 'BTC', 'USD', "ftx", {'spot': False}, False), # Can only trade spot markets
("BTC-PERP", 'BTC', 'USD', "ftx", {'spot': False}, False), # Can only trade spot markets
])
def test_symbol_is_pair(market_symbol, base_currency, quote_currency, expected_result) -> None:
assert symbol_is_pair(market_symbol, base_currency, quote_currency) == expected_result
def test_market_is_tradable(mocker, default_conf, market_symbol, base,
quote, add_dict, exchange, expected_result) -> None:
ex = get_patched_exchange(mocker, default_conf, id=exchange)
market = {
'symbol': market_symbol,
'base': base,
'quote': quote,
**(add_dict),
}
assert ex.market_is_tradable(market) == expected_result
@pytest.mark.parametrize("market,expected_result", [
@@ -2188,15 +2307,45 @@ def test_extract_cost_curr_rate(mocker, default_conf, order, expected) -> None:
'fee': {'currency': 'NEO', 'cost': 0.0012}}, 0.001944),
({'symbol': 'ETH/BTC', 'amount': 2.21, 'cost': 0.02992561,
'fee': {'currency': 'NEO', 'cost': 0.00027452}}, 0.00074305),
# TODO: More tests here!
# Rate included in return - return as is
({'symbol': 'ETH/BTC', 'amount': 0.04, 'cost': 0.05,
'fee': {'currency': 'USDT', 'cost': 0.34, 'rate': 0.01}}, 0.01),
({'symbol': 'ETH/BTC', 'amount': 0.04, 'cost': 0.05,
'fee': {'currency': 'USDT', 'cost': 0.34, 'rate': 0.005}}, 0.005),
# 0.1% filled - no costs (kraken - #3431)
({'symbol': 'ETH/BTC', 'amount': 0.04, 'cost': 0.0,
'fee': {'currency': 'BTC', 'cost': 0.0, 'rate': None}}, None),
({'symbol': 'ETH/BTC', 'amount': 0.04, 'cost': 0.0,
'fee': {'currency': 'ETH', 'cost': 0.0, 'rate': None}}, 0.0),
({'symbol': 'ETH/BTC', 'amount': 0.04, 'cost': 0.0,
'fee': {'currency': 'NEO', 'cost': 0.0, 'rate': None}}, None),
])
def test_calculate_fee_rate(mocker, default_conf, order, expected) -> None:
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', return_value={'last': 0.081})
ex = get_patched_exchange(mocker, default_conf)
assert ex.calculate_fee_rate(order) == expected
@pytest.mark.parametrize('retrycount,max_retries,expected', [
(0, 3, 10),
(1, 3, 5),
(2, 3, 2),
(3, 3, 1),
(0, 1, 2),
(1, 1, 1),
(0, 4, 17),
(1, 4, 10),
(2, 4, 5),
(3, 4, 2),
(4, 4, 1),
(0, 5, 26),
(1, 5, 17),
(2, 5, 10),
(3, 5, 5),
(4, 5, 2),
(5, 5, 1),
])
def test_calculate_backoff(retrycount, max_retries, expected):
assert calculate_backoff(retrycount, max_retries) == expected

158
tests/exchange/test_ftx.py Normal file
View File

@@ -0,0 +1,158 @@
# pragma pylint: disable=missing-docstring, C0103, bad-continuation, global-statement
# pragma pylint: disable=protected-access
from random import randint
from unittest.mock import MagicMock
import ccxt
import pytest
from freqtrade.exceptions import DependencyException, InvalidOrderException
from tests.conftest import get_patched_exchange
from .test_exchange import ccxt_exceptionhandlers
STOPLOSS_ORDERTYPE = 'stop'
def test_stoploss_order_ftx(default_conf, mocker):
api_mock = MagicMock()
order_id = 'test_prod_buy_{}'.format(randint(0, 10 ** 6))
api_mock.create_order = MagicMock(return_value={
'id': order_id,
'info': {
'foo': 'bar'
}
})
default_conf['dry_run'] = False
mocker.patch('freqtrade.exchange.Exchange.amount_to_precision', lambda s, x, y: y)
mocker.patch('freqtrade.exchange.Exchange.price_to_precision', lambda s, x, y: y)
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'ftx')
# stoploss_on_exchange_limit_ratio is irrelevant for ftx market orders
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=190,
order_types={'stoploss_on_exchange_limit_ratio': 1.05})
assert api_mock.create_order.call_args_list[0][1]['symbol'] == 'ETH/BTC'
assert api_mock.create_order.call_args_list[0][1]['type'] == STOPLOSS_ORDERTYPE
assert api_mock.create_order.call_args_list[0][1]['side'] == 'sell'
assert api_mock.create_order.call_args_list[0][1]['amount'] == 1
assert api_mock.create_order.call_args_list[0][1]['price'] == 190
assert 'orderPrice' not in api_mock.create_order.call_args_list[0][1]['params']
assert api_mock.create_order.call_count == 1
api_mock.create_order.reset_mock()
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
assert 'id' in order
assert 'info' in order
assert order['id'] == order_id
assert api_mock.create_order.call_args_list[0][1]['symbol'] == 'ETH/BTC'
assert api_mock.create_order.call_args_list[0][1]['type'] == STOPLOSS_ORDERTYPE
assert api_mock.create_order.call_args_list[0][1]['side'] == 'sell'
assert api_mock.create_order.call_args_list[0][1]['amount'] == 1
assert api_mock.create_order.call_args_list[0][1]['price'] == 220
assert 'orderPrice' not in api_mock.create_order.call_args_list[0][1]['params']
api_mock.create_order.reset_mock()
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220,
order_types={'stoploss': 'limit'})
assert 'id' in order
assert 'info' in order
assert order['id'] == order_id
assert api_mock.create_order.call_args_list[0][1]['symbol'] == 'ETH/BTC'
assert api_mock.create_order.call_args_list[0][1]['type'] == STOPLOSS_ORDERTYPE
assert api_mock.create_order.call_args_list[0][1]['side'] == 'sell'
assert api_mock.create_order.call_args_list[0][1]['amount'] == 1
assert api_mock.create_order.call_args_list[0][1]['price'] == 220
assert 'orderPrice' in api_mock.create_order.call_args_list[0][1]['params']
assert api_mock.create_order.call_args_list[0][1]['params']['orderPrice'] == 217.8
# test exception handling
with pytest.raises(DependencyException):
api_mock.create_order = MagicMock(side_effect=ccxt.InsufficientFunds("0 balance"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'ftx')
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
with pytest.raises(InvalidOrderException):
api_mock.create_order = MagicMock(
side_effect=ccxt.InvalidOrder("ftx Order would trigger immediately."))
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'ftx')
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
ccxt_exceptionhandlers(mocker, default_conf, api_mock, "ftx",
"stoploss", "create_order", retries=1,
pair='ETH/BTC', amount=1, stop_price=220, order_types={})
def test_stoploss_order_dry_run_ftx(default_conf, mocker):
api_mock = MagicMock()
default_conf['dry_run'] = True
mocker.patch('freqtrade.exchange.Exchange.amount_to_precision', lambda s, x, y: y)
mocker.patch('freqtrade.exchange.Exchange.price_to_precision', lambda s, x, y: y)
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'ftx')
api_mock.create_order.reset_mock()
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
assert 'id' in order
assert 'info' in order
assert 'type' in order
assert order['type'] == STOPLOSS_ORDERTYPE
assert order['price'] == 220
assert order['amount'] == 1
def test_stoploss_adjust_ftx(mocker, default_conf):
exchange = get_patched_exchange(mocker, default_conf, id='ftx')
order = {
'type': STOPLOSS_ORDERTYPE,
'price': 1500,
}
assert exchange.stoploss_adjust(1501, order)
assert not exchange.stoploss_adjust(1499, order)
# Test with invalid order case ...
order['type'] = 'stop_loss_limit'
assert not exchange.stoploss_adjust(1501, order)
def test_fetch_stoploss_order(default_conf, mocker):
default_conf['dry_run'] = True
order = MagicMock()
order.myid = 123
exchange = get_patched_exchange(mocker, default_conf, id='ftx')
exchange._dry_run_open_orders['X'] = order
assert exchange.fetch_stoploss_order('X', 'TKN/BTC').myid == 123
with pytest.raises(InvalidOrderException, match=r'Tried to get an invalid dry-run-order.*'):
exchange.fetch_stoploss_order('Y', 'TKN/BTC')
default_conf['dry_run'] = False
api_mock = MagicMock()
api_mock.fetch_orders = MagicMock(return_value=[{'id': 'X', 'status': '456'}])
exchange = get_patched_exchange(mocker, default_conf, api_mock, id='ftx')
assert exchange.fetch_stoploss_order('X', 'TKN/BTC')['status'] == '456'
api_mock.fetch_orders = MagicMock(return_value=[{'id': 'Y', 'status': '456'}])
exchange = get_patched_exchange(mocker, default_conf, api_mock, id='ftx')
with pytest.raises(InvalidOrderException, match=r"Could not get stoploss order for id X"):
exchange.fetch_stoploss_order('X', 'TKN/BTC')['status']
with pytest.raises(InvalidOrderException):
api_mock.fetch_orders = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id='ftx')
exchange.fetch_stoploss_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_orders.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock, 'ftx',
'fetch_stoploss_order', 'fetch_orders',
retries=6,
order_id='_', pair='TKN/BTC')

View File

@@ -6,11 +6,12 @@ from unittest.mock import MagicMock
import ccxt
import pytest
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exceptions import DependencyException, InvalidOrderException
from tests.conftest import get_patched_exchange
from tests.exchange.test_exchange import ccxt_exceptionhandlers
STOPLOSS_ORDERTYPE = 'stop-loss'
def test_buy_kraken_trading_agreement(default_conf, mocker):
api_mock = MagicMock()
@@ -159,7 +160,6 @@ def test_get_balances_prod(default_conf, mocker):
def test_stoploss_order_kraken(default_conf, mocker):
api_mock = MagicMock()
order_id = 'test_prod_buy_{}'.format(randint(0, 10 ** 6))
order_type = 'stop-loss'
api_mock.create_order = MagicMock(return_value={
'id': order_id,
@@ -187,7 +187,7 @@ def test_stoploss_order_kraken(default_conf, mocker):
assert 'info' in order
assert order['id'] == order_id
assert api_mock.create_order.call_args_list[0][1]['symbol'] == 'ETH/BTC'
assert api_mock.create_order.call_args_list[0][1]['type'] == order_type
assert api_mock.create_order.call_args_list[0][1]['type'] == STOPLOSS_ORDERTYPE
assert api_mock.create_order.call_args_list[0][1]['side'] == 'sell'
assert api_mock.create_order.call_args_list[0][1]['amount'] == 1
assert api_mock.create_order.call_args_list[0][1]['price'] == 220
@@ -205,20 +205,13 @@ def test_stoploss_order_kraken(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
with pytest.raises(TemporaryError):
api_mock.create_order = MagicMock(side_effect=ccxt.NetworkError("No connection"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
with pytest.raises(OperationalException, match=r".*DeadBeef.*"):
api_mock.create_order = MagicMock(side_effect=ccxt.BaseError("DeadBeef"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, 'kraken')
exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220, order_types={})
ccxt_exceptionhandlers(mocker, default_conf, api_mock, "kraken",
"stoploss", "create_order", retries=1,
pair='ETH/BTC', amount=1, stop_price=220, order_types={})
def test_stoploss_order_dry_run_kraken(default_conf, mocker):
api_mock = MagicMock()
order_type = 'stop-loss'
default_conf['dry_run'] = True
mocker.patch('freqtrade.exchange.Exchange.amount_to_precision', lambda s, x, y: y)
mocker.patch('freqtrade.exchange.Exchange.price_to_precision', lambda s, x, y: y)
@@ -233,7 +226,7 @@ def test_stoploss_order_dry_run_kraken(default_conf, mocker):
assert 'info' in order
assert 'type' in order
assert order['type'] == order_type
assert order['type'] == STOPLOSS_ORDERTYPE
assert order['price'] == 220
assert order['amount'] == 1
@@ -241,7 +234,7 @@ def test_stoploss_order_dry_run_kraken(default_conf, mocker):
def test_stoploss_adjust_kraken(mocker, default_conf):
exchange = get_patched_exchange(mocker, default_conf, id='kraken')
order = {
'type': 'stop-loss',
'type': STOPLOSS_ORDERTYPE,
'price': 1500,
}
assert exchange.stoploss_adjust(1501, order)

View File

@@ -0,0 +1,202 @@
# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
from functools import reduce
from typing import Any, Callable, Dict, List
import talib.abstract as ta
from pandas import DataFrame
from skopt.space import Categorical, Dimension, Integer
import freqtrade.vendor.qtpylib.indicators as qtpylib
from freqtrade.optimize.hyperopt_interface import IHyperOpt
class DefaultHyperOpt(IHyperOpt):
"""
Default hyperopt provided by the Freqtrade bot.
You can override it with your own Hyperopt
"""
@staticmethod
def populate_indicators(dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Add several indicators needed for buy and sell strategies defined below.
"""
# ADX
dataframe['adx'] = ta.ADX(dataframe)
# MACD
macd = ta.MACD(dataframe)
dataframe['macd'] = macd['macd']
dataframe['macdsignal'] = macd['macdsignal']
# MFI
dataframe['mfi'] = ta.MFI(dataframe)
# RSI
dataframe['rsi'] = ta.RSI(dataframe)
# Stochastic Fast
stoch_fast = ta.STOCHF(dataframe)
dataframe['fastd'] = stoch_fast['fastd']
# Minus-DI
dataframe['minus_di'] = ta.MINUS_DI(dataframe)
# Bollinger bands
bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
dataframe['bb_lowerband'] = bollinger['lower']
dataframe['bb_upperband'] = bollinger['upper']
# SAR
dataframe['sar'] = ta.SAR(dataframe)
return dataframe
@staticmethod
def buy_strategy_generator(params: Dict[str, Any]) -> Callable:
"""
Define the buy strategy parameters to be used by Hyperopt.
"""
def populate_buy_trend(dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Buy strategy Hyperopt will build and use.
"""
conditions = []
# GUARDS AND TRENDS
if 'mfi-enabled' in params and params['mfi-enabled']:
conditions.append(dataframe['mfi'] < params['mfi-value'])
if 'fastd-enabled' in params and params['fastd-enabled']:
conditions.append(dataframe['fastd'] < params['fastd-value'])
if 'adx-enabled' in params and params['adx-enabled']:
conditions.append(dataframe['adx'] > params['adx-value'])
if 'rsi-enabled' in params and params['rsi-enabled']:
conditions.append(dataframe['rsi'] < params['rsi-value'])
# TRIGGERS
if 'trigger' in params:
if params['trigger'] == 'bb_lower':
conditions.append(dataframe['close'] < dataframe['bb_lowerband'])
if params['trigger'] == 'macd_cross_signal':
conditions.append(qtpylib.crossed_above(
dataframe['macd'], dataframe['macdsignal']
))
if params['trigger'] == 'sar_reversal':
conditions.append(qtpylib.crossed_above(
dataframe['close'], dataframe['sar']
))
if conditions:
dataframe.loc[
reduce(lambda x, y: x & y, conditions),
'buy'] = 1
return dataframe
return populate_buy_trend
@staticmethod
def indicator_space() -> List[Dimension]:
"""
Define your Hyperopt space for searching buy strategy parameters.
"""
return [
Integer(10, 25, name='mfi-value'),
Integer(15, 45, name='fastd-value'),
Integer(20, 50, name='adx-value'),
Integer(20, 40, name='rsi-value'),
Categorical([True, False], name='mfi-enabled'),
Categorical([True, False], name='fastd-enabled'),
Categorical([True, False], name='adx-enabled'),
Categorical([True, False], name='rsi-enabled'),
Categorical(['bb_lower', 'macd_cross_signal', 'sar_reversal'], name='trigger')
]
@staticmethod
def sell_strategy_generator(params: Dict[str, Any]) -> Callable:
"""
Define the sell strategy parameters to be used by Hyperopt.
"""
def populate_sell_trend(dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Sell strategy Hyperopt will build and use.
"""
conditions = []
# GUARDS AND TRENDS
if 'sell-mfi-enabled' in params and params['sell-mfi-enabled']:
conditions.append(dataframe['mfi'] > params['sell-mfi-value'])
if 'sell-fastd-enabled' in params and params['sell-fastd-enabled']:
conditions.append(dataframe['fastd'] > params['sell-fastd-value'])
if 'sell-adx-enabled' in params and params['sell-adx-enabled']:
conditions.append(dataframe['adx'] < params['sell-adx-value'])
if 'sell-rsi-enabled' in params and params['sell-rsi-enabled']:
conditions.append(dataframe['rsi'] > params['sell-rsi-value'])
# TRIGGERS
if 'sell-trigger' in params:
if params['sell-trigger'] == 'sell-bb_upper':
conditions.append(dataframe['close'] > dataframe['bb_upperband'])
if params['sell-trigger'] == 'sell-macd_cross_signal':
conditions.append(qtpylib.crossed_above(
dataframe['macdsignal'], dataframe['macd']
))
if params['sell-trigger'] == 'sell-sar_reversal':
conditions.append(qtpylib.crossed_above(
dataframe['sar'], dataframe['close']
))
if conditions:
dataframe.loc[
reduce(lambda x, y: x & y, conditions),
'sell'] = 1
return dataframe
return populate_sell_trend
@staticmethod
def sell_indicator_space() -> List[Dimension]:
"""
Define your Hyperopt space for searching sell strategy parameters.
"""
return [
Integer(75, 100, name='sell-mfi-value'),
Integer(50, 100, name='sell-fastd-value'),
Integer(50, 100, name='sell-adx-value'),
Integer(60, 100, name='sell-rsi-value'),
Categorical([True, False], name='sell-mfi-enabled'),
Categorical([True, False], name='sell-fastd-enabled'),
Categorical([True, False], name='sell-adx-enabled'),
Categorical([True, False], name='sell-rsi-enabled'),
Categorical(['sell-bb_upper',
'sell-macd_cross_signal',
'sell-sar_reversal'], name='sell-trigger')
]
def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Based on TA indicators. Should be a copy of same method from strategy.
Must align to populate_indicators in this file.
Only used when --spaces does not include buy space.
"""
dataframe.loc[
(
(dataframe['close'] < dataframe['bb_lowerband']) &
(dataframe['mfi'] < 16) &
(dataframe['adx'] > 25) &
(dataframe['rsi'] < 21)
),
'buy'] = 1
return dataframe
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Based on TA indicators. Should be a copy of same method from strategy.
Must align to populate_indicators in this file.
Only used when --spaces does not include sell space.
"""
dataframe.loc[
(
(qtpylib.crossed_above(
dataframe['macdsignal'], dataframe['macd']
)) &
(dataframe['fastd'] > 54)
),
'sell'] = 1
return dataframe

View File

@@ -360,7 +360,7 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None:
"""
default_conf["stoploss"] = data.stop_loss
default_conf["minimal_roi"] = data.roi
default_conf["ticker_interval"] = tests_timeframe
default_conf["timeframe"] = tests_timeframe
default_conf["trailing_stop"] = data.trailing_stop
default_conf["trailing_only_offset_is_reached"] = data.trailing_only_offset_is_reached
# Only add this to configuration If it's necessary
@@ -395,5 +395,5 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None:
for c, trade in enumerate(data.trades):
res = results.iloc[c]
assert res.sell_reason == trade.sell_reason
assert res.open_time == _get_frame_time_from_offset(trade.open_tick)
assert res.close_time == _get_frame_time_from_offset(trade.close_tick)
assert res.open_date == _get_frame_time_from_offset(trade.open_tick)
assert res.close_date == _get_frame_time_from_offset(trade.close_tick)

View File

@@ -81,7 +81,7 @@ def load_data_test(what, testdatadir):
def simple_backtest(config, contour, num_results, mocker, testdatadir) -> None:
patch_exchange(mocker)
config['ticker_interval'] = '1m'
config['timeframe'] = '1m'
backtesting = Backtesting(config)
data = load_data_test(contour, testdatadir)
@@ -165,7 +165,7 @@ def test_setup_optimize_configuration_without_arguments(mocker, default_conf, ca
assert 'pair_whitelist' in config['exchange']
assert 'datadir' in config
assert log_has('Using data directory: {} ...'.format(config['datadir']), caplog)
assert 'ticker_interval' in config
assert 'timeframe' in config
assert not log_has_re('Parameter -i/--ticker-interval detected .*', caplog)
assert 'position_stacking' not in config
@@ -189,7 +189,7 @@ def test_setup_bt_configuration_with_arguments(mocker, default_conf, caplog) ->
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'--datadir', '/foo/bar',
'--ticker-interval', '1m',
'--timeframe', '1m',
'--enable-position-stacking',
'--disable-max-market-positions',
'--timerange', ':100',
@@ -208,8 +208,8 @@ def test_setup_bt_configuration_with_arguments(mocker, default_conf, caplog) ->
assert config['runmode'] == RunMode.BACKTEST
assert log_has('Using data directory: {} ...'.format(config['datadir']), caplog)
assert 'ticker_interval' in config
assert log_has('Parameter -i/--ticker-interval detected ... Using ticker_interval: 1m ...',
assert 'timeframe' in config
assert log_has('Parameter -i/--timeframe detected ... Using timeframe: 1m ...',
caplog)
assert 'position_stacking' in config
@@ -286,9 +286,9 @@ def test_backtesting_init(mocker, default_conf, order_types) -> None:
assert not backtesting.strategy.order_types["stoploss_on_exchange"]
def test_backtesting_init_no_ticker_interval(mocker, default_conf, caplog) -> None:
def test_backtesting_init_no_timeframe(mocker, default_conf, caplog) -> None:
patch_exchange(mocker)
del default_conf['ticker_interval']
del default_conf['timeframe']
default_conf['strategy_list'] = ['DefaultStrategy',
'SampleStrategy']
@@ -308,6 +308,11 @@ def test_data_with_fee(default_conf, mocker, testdatadir) -> None:
assert backtesting.fee == 0.1234
assert fee_mock.call_count == 0
default_conf['fee'] = 0.0
backtesting = Backtesting(default_conf)
assert backtesting.fee == 0.0
assert fee_mock.call_count == 0
def test_data_to_dataframe_bt(default_conf, mocker, testdatadir) -> None:
patch_exchange(mocker)
@@ -333,11 +338,12 @@ def test_backtesting_start(default_conf, mocker, testdatadir, caplog) -> None:
mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
patch_exchange(mocker)
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest')
mocker.patch('freqtrade.optimize.backtesting.generate_backtest_stats')
mocker.patch('freqtrade.optimize.backtesting.show_backtest_results')
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['UNITTEST/BTC']))
default_conf['ticker_interval'] = '1m'
default_conf['timeframe'] = '1m'
default_conf['datadir'] = testdatadir
default_conf['export'] = None
default_conf['timerange'] = '-1510694220'
@@ -348,8 +354,8 @@ def test_backtesting_start(default_conf, mocker, testdatadir, caplog) -> None:
exists = [
'Using stake_currency: BTC ...',
'Using stake_amount: 0.001 ...',
'Backtesting with data from 2017-11-14T21:17:00+00:00 '
'up to 2017-11-14T22:59:00+00:00 (0 days)..'
'Backtesting with data from 2017-11-14 21:17:00 '
'up to 2017-11-14 22:59:00 (0 days)..'
]
for line in exists:
assert log_has(line, caplog)
@@ -367,7 +373,7 @@ def test_backtesting_start_no_data(default_conf, mocker, caplog, testdatadir) ->
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['UNITTEST/BTC']))
default_conf['ticker_interval'] = "1m"
default_conf['timeframe'] = "1m"
default_conf['datadir'] = testdatadir
default_conf['export'] = None
default_conf['timerange'] = '20180101-20180102'
@@ -387,7 +393,7 @@ def test_backtesting_no_pair_left(default_conf, mocker, caplog, testdatadir) ->
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=[]))
default_conf['ticker_interval'] = "1m"
default_conf['timeframe'] = "1m"
default_conf['datadir'] = testdatadir
default_conf['export'] = None
default_conf['timerange'] = '20180101-20180102'
@@ -400,6 +406,38 @@ def test_backtesting_no_pair_left(default_conf, mocker, caplog, testdatadir) ->
Backtesting(default_conf)
def test_backtesting_pairlist_list(default_conf, mocker, caplog, testdatadir, tickers) -> None:
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))
mocker.patch('freqtrade.exchange.Exchange.get_tickers', tickers)
mocker.patch('freqtrade.exchange.Exchange.price_to_precision', lambda s, x, y: y)
mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
patch_exchange(mocker)
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest')
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['XRP/BTC']))
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.refresh_pairlist')
default_conf['ticker_interval'] = "1m"
default_conf['datadir'] = testdatadir
default_conf['export'] = None
# Use stoploss from strategy
del default_conf['stoploss']
default_conf['timerange'] = '20180101-20180102'
default_conf['pairlists'] = [{"method": "VolumePairList", "number_assets": 5}]
with pytest.raises(OperationalException, match='VolumePairList not allowed for backtesting.'):
Backtesting(default_conf)
default_conf['pairlists'] = [{"method": "StaticPairList"}, {"method": "PrecisionFilter"}, ]
Backtesting(default_conf)
# Multiple strategies
default_conf['strategy_list'] = ['DefaultStrategy', 'TestStrategyLegacy']
with pytest.raises(OperationalException,
match='PrecisionFilter not allowed for backtesting multiple strategies.'):
Backtesting(default_conf)
def test_backtest(default_conf, fee, mocker, testdatadir) -> None:
default_conf['ask_strategy']['use_sell_signal'] = False
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
@@ -426,34 +464,35 @@ def test_backtest(default_conf, fee, mocker, testdatadir) -> None:
{'pair': [pair, pair],
'profit_percent': [0.0, 0.0],
'profit_abs': [0.0, 0.0],
'open_time': pd.to_datetime([Arrow(2018, 1, 29, 18, 40, 0).datetime,
'open_date': pd.to_datetime([Arrow(2018, 1, 29, 18, 40, 0).datetime,
Arrow(2018, 1, 30, 3, 30, 0).datetime], utc=True
),
'close_time': pd.to_datetime([Arrow(2018, 1, 29, 22, 35, 0).datetime,
'open_rate': [0.104445, 0.10302485],
'open_fee': [0.0025, 0.0025],
'close_date': pd.to_datetime([Arrow(2018, 1, 29, 22, 35, 0).datetime,
Arrow(2018, 1, 30, 4, 10, 0).datetime], utc=True),
'open_index': [78, 184],
'close_index': [125, 192],
'close_rate': [0.104969, 0.103541],
'close_fee': [0.0025, 0.0025],
'amount': [0.00957442, 0.0097064],
'trade_duration': [235, 40],
'open_at_end': [False, False],
'open_rate': [0.104445, 0.10302485],
'close_rate': [0.104969, 0.103541],
'sell_reason': [SellType.ROI, SellType.ROI]
})
pd.testing.assert_frame_equal(results, expected)
data_pair = processed[pair]
for _, t in results.iterrows():
ln = data_pair.loc[data_pair["date"] == t["open_time"]]
ln = data_pair.loc[data_pair["date"] == t["open_date"]]
# Check open trade rate alignes to open rate
assert ln is not None
assert round(ln.iloc[0]["open"], 6) == round(t["open_rate"], 6)
# check close trade rate alignes to close rate or is between high and low
ln = data_pair.loc[data_pair["date"] == t["close_time"]]
ln = data_pair.loc[data_pair["date"] == t["close_date"]]
assert (round(ln.iloc[0]["open"], 6) == round(t["close_rate"], 6) or
round(ln.iloc[0]["low"], 6) < round(
t["close_rate"], 6) < round(ln.iloc[0]["high"], 6))
def test_backtest_1min_ticker_interval(default_conf, fee, mocker, testdatadir) -> None:
def test_backtest_1min_timeframe(default_conf, fee, mocker, testdatadir) -> None:
default_conf['ask_strategy']['use_sell_signal'] = False
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
patch_exchange(mocker)
@@ -534,7 +573,7 @@ def test_backtest_alternate_buy_sell(default_conf, fee, mocker, testdatadir):
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
backtest_conf = _make_backtest_conf(mocker, conf=default_conf,
pair='UNITTEST/BTC', datadir=testdatadir)
default_conf['ticker_interval'] = '1m'
default_conf['timeframe'] = '1m'
backtesting = Backtesting(default_conf)
backtesting.strategy.advise_buy = _trend_alternate # Override
backtesting.strategy.advise_sell = _trend_alternate # Override
@@ -573,7 +612,7 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
# Remove data for one pair from the beginning of the data
data[pair] = data[pair][tres:].reset_index()
default_conf['ticker_interval'] = '5m'
default_conf['timeframe'] = '5m'
backtesting = Backtesting(default_conf)
backtesting.strategy.advise_buy = _trend_alternate_hold # Override
@@ -612,8 +651,9 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
def test_backtest_start_timerange(default_conf, mocker, caplog, testdatadir):
patch_exchange(mocker)
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.show_backtest_results', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest')
mocker.patch('freqtrade.optimize.backtesting.generate_backtest_stats')
mocker.patch('freqtrade.optimize.backtesting.show_backtest_results')
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['UNITTEST/BTC']))
patched_configuration_load_config_file(mocker, default_conf)
@@ -623,7 +663,7 @@ def test_backtest_start_timerange(default_conf, mocker, caplog, testdatadir):
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'--datadir', str(testdatadir),
'--ticker-interval', '1m',
'--timeframe', '1m',
'--timerange', '1510694220-1510700340',
'--enable-position-stacking',
'--disable-max-market-positions'
@@ -632,16 +672,16 @@ def test_backtest_start_timerange(default_conf, mocker, caplog, testdatadir):
start_backtesting(args)
# check the logs, that will contain the backtest result
exists = [
'Parameter -i/--ticker-interval detected ... Using ticker_interval: 1m ...',
'Parameter -i/--timeframe detected ... Using timeframe: 1m ...',
'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
'Parameter --timerange detected: 1510694220-1510700340 ...',
f'Using data directory: {testdatadir} ...',
'Using stake_currency: BTC ...',
'Using stake_amount: 0.001 ...',
'Loading data from 2017-11-14T20:57:00+00:00 '
'up to 2017-11-14T22:58:00+00:00 (0 days)..',
'Backtesting with data from 2017-11-14T21:17:00+00:00 '
'up to 2017-11-14T22:58:00+00:00 (0 days)..',
'Loading data from 2017-11-14 20:57:00 '
'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)..',
'Parameter --enable-position-stacking detected ...'
]
@@ -657,11 +697,19 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['UNITTEST/BTC']))
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', backtestmock)
gen_table_mock = MagicMock()
mocker.patch('freqtrade.optimize.optimize_reports.generate_text_table', gen_table_mock)
gen_strattable_mock = MagicMock()
mocker.patch('freqtrade.optimize.optimize_reports.generate_text_table_strategy',
gen_strattable_mock)
text_table_mock = MagicMock()
sell_reason_mock = MagicMock()
strattable_mock = MagicMock()
strat_summary = MagicMock()
mocker.patch.multiple('freqtrade.optimize.optimize_reports',
text_table_bt_results=text_table_mock,
text_table_strategy=strattable_mock,
generate_pair_metrics=MagicMock(),
generate_sell_reason_stats=sell_reason_mock,
generate_strategy_metrics=strat_summary,
generate_daily_stats=MagicMock(),
)
patched_configuration_load_config_file(mocker, default_conf)
args = [
@@ -669,7 +717,7 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
'--config', 'config.json',
'--datadir', str(testdatadir),
'--strategy-path', str(Path(__file__).parents[1] / 'strategy/strats'),
'--ticker-interval', '1m',
'--timeframe', '1m',
'--timerange', '1510694220-1510700340',
'--enable-position-stacking',
'--disable-max-market-positions',
@@ -681,21 +729,23 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
start_backtesting(args)
# 2 backtests, 4 tables
assert backtestmock.call_count == 2
assert gen_table_mock.call_count == 4
assert gen_strattable_mock.call_count == 1
assert text_table_mock.call_count == 4
assert strattable_mock.call_count == 1
assert sell_reason_mock.call_count == 2
assert strat_summary.call_count == 1
# check the logs, that will contain the backtest result
exists = [
'Parameter -i/--ticker-interval detected ... Using ticker_interval: 1m ...',
'Parameter -i/--timeframe detected ... Using timeframe: 1m ...',
'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
'Parameter --timerange detected: 1510694220-1510700340 ...',
f'Using data directory: {testdatadir} ...',
'Using stake_currency: BTC ...',
'Using stake_amount: 0.001 ...',
'Loading data from 2017-11-14T20:57:00+00:00 '
'up to 2017-11-14T22:58:00+00:00 (0 days)..',
'Backtesting with data from 2017-11-14T21:17:00+00:00 '
'up to 2017-11-14T22:58:00+00:00 (0 days)..',
'Loading data from 2017-11-14 20:57:00 '
'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)..',
'Parameter --enable-position-stacking detected ...',
'Running backtesting for Strategy DefaultStrategy',
'Running backtesting for Strategy TestStrategyLegacy',
@@ -703,3 +753,88 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
for line in exists:
assert log_has(line, caplog)
@pytest.mark.filterwarnings("ignore:deprecated")
def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdatadir, capsys):
patch_exchange(mocker)
backtestmock = MagicMock(side_effect=[
pd.DataFrame({'pair': ['XRP/BTC', 'LTC/BTC'],
'profit_percent': [0.0, 0.0],
'profit_abs': [0.0, 0.0],
'open_date': pd.to_datetime(['2018-01-29 18:40:00',
'2018-01-30 03:30:00', ], utc=True
),
'close_date': pd.to_datetime(['2018-01-29 20:45:00',
'2018-01-30 05:35:00', ], utc=True),
'trade_duration': [235, 40],
'open_at_end': [False, False],
'open_rate': [0.104445, 0.10302485],
'close_rate': [0.104969, 0.103541],
'sell_reason': [SellType.ROI, SellType.ROI]
}),
pd.DataFrame({'pair': ['XRP/BTC', 'LTC/BTC', 'ETH/BTC'],
'profit_percent': [0.03, 0.01, 0.1],
'profit_abs': [0.01, 0.02, 0.2],
'open_date': pd.to_datetime(['2018-01-29 18:40:00',
'2018-01-30 03:30:00',
'2018-01-30 05:30:00'], utc=True
),
'close_date': pd.to_datetime(['2018-01-29 20:45:00',
'2018-01-30 05:35:00',
'2018-01-30 08:30:00'], utc=True),
'trade_duration': [47, 40, 20],
'open_at_end': [False, False, False],
'open_rate': [0.104445, 0.10302485, 0.122541],
'close_rate': [0.104969, 0.103541, 0.123541],
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
}),
])
mocker.patch('freqtrade.pairlist.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['UNITTEST/BTC']))
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', backtestmock)
patched_configuration_load_config_file(mocker, default_conf)
args = [
'backtesting',
'--config', 'config.json',
'--datadir', str(testdatadir),
'--strategy-path', str(Path(__file__).parents[1] / 'strategy/strats'),
'--timeframe', '1m',
'--timerange', '1510694220-1510700340',
'--enable-position-stacking',
'--disable-max-market-positions',
'--strategy-list',
'DefaultStrategy',
'TestStrategyLegacy',
]
args = get_args(args)
start_backtesting(args)
# check the logs, that will contain the backtest result
exists = [
'Parameter -i/--timeframe detected ... Using timeframe: 1m ...',
'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
'Parameter --timerange detected: 1510694220-1510700340 ...',
f'Using data directory: {testdatadir} ...',
'Using stake_currency: BTC ...',
'Using stake_amount: 0.001 ...',
'Loading data from 2017-11-14 20:57:00 '
'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)..',
'Parameter --enable-position-stacking detected ...',
'Running backtesting for Strategy DefaultStrategy',
'Running backtesting for Strategy TestStrategyLegacy',
]
for line in exists:
assert log_has(line, caplog)
captured = capsys.readouterr()
assert 'BACKTESTING REPORT' in captured.out
assert 'SELL REASON STATS' in captured.out
assert 'LEFT OPEN TRADES REPORT' in captured.out
assert 'STRATEGY SUMMARY' in captured.out

View File

@@ -29,7 +29,7 @@ def test_setup_optimize_configuration_without_arguments(mocker, default_conf, ca
assert 'pair_whitelist' in config['exchange']
assert 'datadir' in config
assert log_has('Using data directory: {} ...'.format(config['datadir']), caplog)
assert 'ticker_interval' in config
assert 'timeframe' in config
assert not log_has_re('Parameter -i/--ticker-interval detected .*', caplog)
assert 'timerange' not in config
@@ -48,7 +48,7 @@ def test_setup_edge_configuration_with_arguments(mocker, edge_conf, caplog) -> N
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'--datadir', '/foo/bar',
'--ticker-interval', '1m',
'--timeframe', '1m',
'--timerange', ':100',
'--stoplosses=-0.01,-0.10,-0.001'
]
@@ -62,8 +62,8 @@ def test_setup_edge_configuration_with_arguments(mocker, edge_conf, caplog) -> N
assert 'datadir' in config
assert config['runmode'] == RunMode.EDGE
assert log_has('Using data directory: {} ...'.format(config['datadir']), caplog)
assert 'ticker_interval' in config
assert log_has('Parameter -i/--ticker-interval detected ... Using ticker_interval: 1m ...',
assert 'timeframe' in config
assert log_has('Parameter -i/--timeframe detected ... Using timeframe: 1m ...',
caplog)
assert 'timerange' in config
@@ -105,3 +105,17 @@ def test_edge_init_fee(mocker, edge_conf) -> None:
edge_cli = EdgeCli(edge_conf)
assert edge_cli.edge.fee == 0.1234
assert fee_mock.call_count == 0
def test_edge_start(mocker, edge_conf) -> None:
mock_calculate = mocker.patch('freqtrade.edge.edge_positioning.Edge.calculate',
return_value=True)
table_mock = mocker.patch('freqtrade.optimize.edge_cli.generate_edge_table')
patch_exchange(mocker)
edge_conf['stake_amount'] = 20
edge_cli = EdgeCli(edge_conf)
edge_cli.start()
assert mock_calculate.call_count == 1
assert table_mock.call_count == 1

View File

@@ -3,6 +3,7 @@ import locale
import logging
from datetime import datetime
from pathlib import Path
from copy import deepcopy
from typing import Dict, List
from unittest.mock import MagicMock, PropertyMock
@@ -16,7 +17,6 @@ from freqtrade.commands.optimize_commands import (setup_optimize_configuration,
start_hyperopt)
from freqtrade.data.history import load_data
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.optimize.default_hyperopt import DefaultHyperOpt
from freqtrade.optimize.default_hyperopt_loss import DefaultHyperOptLoss
from freqtrade.optimize.hyperopt import Hyperopt
from freqtrade.resolvers.hyperopt_resolver import (HyperOptLossResolver,
@@ -26,15 +26,28 @@ from freqtrade.strategy.interface import SellType
from tests.conftest import (get_args, log_has, log_has_re, patch_exchange,
patched_configuration_load_config_file)
from .hyperopts.default_hyperopt import DefaultHyperOpt
@pytest.fixture(scope='function')
def hyperopt(default_conf, mocker):
default_conf.update({
'spaces': ['default'],
'hyperopt': 'DefaultHyperOpt',
})
def hyperopt_conf(default_conf):
hyperconf = deepcopy(default_conf)
hyperconf.update({
'hyperopt': 'DefaultHyperOpt',
'hyperopt_path': str(Path(__file__).parent / 'hyperopts'),
'epochs': 1,
'timerange': None,
'spaces': ['default'],
'hyperopt_jobs': 1,
})
return hyperconf
@pytest.fixture(scope='function')
def hyperopt(hyperopt_conf, mocker):
patch_exchange(mocker)
return Hyperopt(default_conf)
return Hyperopt(hyperopt_conf)
@pytest.fixture(scope='function')
@@ -46,7 +59,7 @@ def hyperopt_results():
'profit_abs': [-0.2, 0.4, 0.6],
'trade_duration': [10, 30, 10],
'sell_reason': [SellType.STOP_LOSS, SellType.ROI, SellType.ROI],
'close_time':
'close_date':
[
datetime(2019, 1, 1, 9, 26, 3, 478039),
datetime(2019, 2, 1, 9, 26, 3, 478039),
@@ -94,7 +107,7 @@ def test_setup_hyperopt_configuration_without_arguments(mocker, default_conf, ca
assert 'pair_whitelist' in config['exchange']
assert 'datadir' in config
assert log_has('Using data directory: {} ...'.format(config['datadir']), caplog)
assert 'ticker_interval' in config
assert 'timeframe' in config
assert not log_has_re('Parameter -i/--ticker-interval detected .*', caplog)
assert 'position_stacking' not in config
@@ -117,7 +130,7 @@ def test_setup_hyperopt_configuration_with_arguments(mocker, default_conf, caplo
'--config', 'config.json',
'--hyperopt', 'DefaultHyperOpt',
'--datadir', '/foo/bar',
'--ticker-interval', '1m',
'--timeframe', '1m',
'--timerange', ':100',
'--enable-position-stacking',
'--disable-max-market-positions',
@@ -136,8 +149,8 @@ def test_setup_hyperopt_configuration_with_arguments(mocker, default_conf, caplo
assert config['runmode'] == RunMode.HYPEROPT
assert log_has('Using data directory: {} ...'.format(config['datadir']), caplog)
assert 'ticker_interval' in config
assert log_has('Parameter -i/--ticker-interval detected ... Using ticker_interval: 1m ...',
assert 'timeframe' in config
assert log_has('Parameter -i/--timeframe detected ... Using timeframe: 1m ...',
caplog)
assert 'position_stacking' in config
@@ -160,7 +173,7 @@ def test_setup_hyperopt_configuration_with_arguments(mocker, default_conf, caplo
assert log_has('Parameter --print-all detected ...', caplog)
def test_setup_hyperopt_configuration_unlimited_stake_amount(mocker, default_conf, caplog) -> None:
def test_setup_hyperopt_configuration_unlimited_stake_amount(mocker, default_conf) -> None:
default_conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
patched_configuration_load_config_file(mocker, default_conf)
@@ -197,10 +210,11 @@ def test_hyperoptresolver(mocker, default_conf, caplog) -> None:
"Using populate_sell_trend from the strategy.", caplog)
assert log_has("Hyperopt class does not provide populate_buy_trend() method. "
"Using populate_buy_trend from the strategy.", caplog)
assert hasattr(x, "ticker_interval")
assert hasattr(x, "ticker_interval") # DEPRECATED
assert hasattr(x, "timeframe")
def test_hyperoptresolver_wrongname(mocker, default_conf, caplog) -> None:
def test_hyperoptresolver_wrongname(default_conf) -> None:
default_conf.update({'hyperopt': "NonExistingHyperoptClass"})
with pytest.raises(OperationalException, match=r'Impossible to load Hyperopt.*'):
@@ -215,7 +229,7 @@ def test_hyperoptresolver_noname(default_conf):
HyperOptResolver.load_hyperopt(default_conf)
def test_hyperoptlossresolver(mocker, default_conf, caplog) -> None:
def test_hyperoptlossresolver(mocker, default_conf) -> None:
hl = DefaultHyperOptLoss
mocker.patch(
@@ -226,14 +240,14 @@ def test_hyperoptlossresolver(mocker, default_conf, caplog) -> None:
assert hasattr(x, "hyperopt_loss_function")
def test_hyperoptlossresolver_wrongname(mocker, default_conf, caplog) -> None:
def test_hyperoptlossresolver_wrongname(default_conf) -> None:
default_conf.update({'hyperopt_loss': "NonExistingLossClass"})
with pytest.raises(OperationalException, match=r'Impossible to load HyperoptLoss.*'):
HyperOptLossResolver.load_hyperoptloss(default_conf)
def test_start_not_installed(mocker, default_conf, caplog, import_fails) -> None:
def test_start_not_installed(mocker, default_conf, import_fails) -> None:
start_mock = MagicMock()
patched_configuration_load_config_file(mocker, default_conf)
@@ -244,6 +258,8 @@ def test_start_not_installed(mocker, default_conf, caplog, import_fails) -> None
'hyperopt',
'--config', 'config.json',
'--hyperopt', 'DefaultHyperOpt',
'--hyperopt-path',
str(Path(__file__).parent / "hyperopts"),
'--epochs', '5'
]
pargs = get_args(args)
@@ -252,9 +268,9 @@ def test_start_not_installed(mocker, default_conf, caplog, import_fails) -> None
start_hyperopt(pargs)
def test_start(mocker, default_conf, caplog) -> None:
def test_start(mocker, hyperopt_conf, caplog) -> None:
start_mock = MagicMock()
patched_configuration_load_config_file(mocker, default_conf)
patched_configuration_load_config_file(mocker, hyperopt_conf)
mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
patch_exchange(mocker)
@@ -271,8 +287,8 @@ def test_start(mocker, default_conf, caplog) -> None:
assert start_mock.call_count == 1
def test_start_no_data(mocker, default_conf, caplog) -> None:
patched_configuration_load_config_file(mocker, default_conf)
def test_start_no_data(mocker, hyperopt_conf) -> None:
patched_configuration_load_config_file(mocker, hyperopt_conf)
mocker.patch('freqtrade.data.history.load_pair_history', MagicMock(return_value=pd.DataFrame))
mocker.patch(
'freqtrade.optimize.hyperopt.get_timerange',
@@ -292,9 +308,9 @@ def test_start_no_data(mocker, default_conf, caplog) -> None:
start_hyperopt(pargs)
def test_start_filelock(mocker, default_conf, caplog) -> None:
start_mock = MagicMock(side_effect=Timeout(Hyperopt.get_lock_filename(default_conf)))
patched_configuration_load_config_file(mocker, default_conf)
def test_start_filelock(mocker, hyperopt_conf, caplog) -> None:
start_mock = MagicMock(side_effect=Timeout(Hyperopt.get_lock_filename(hyperopt_conf)))
patched_configuration_load_config_file(mocker, hyperopt_conf)
mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
patch_exchange(mocker)
@@ -518,7 +534,7 @@ def test_roi_table_generation(hyperopt) -> None:
assert hyperopt.custom_hyperopt.generate_roi_table(params) == {0: 6, 15: 3, 25: 1, 30: 0}
def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
def test_start_calls_optimizer(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -544,15 +560,9 @@ def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
)
patch_exchange(mocker)
# Co-test loading timeframe from strategy
del default_conf['ticker_interval']
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'default',
'hyperopt_jobs': 1, })
del hyperopt_conf['timeframe']
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
@@ -568,7 +578,7 @@ def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
assert hasattr(hyperopt, "max_open_trades")
assert hyperopt.max_open_trades == default_conf['max_open_trades']
assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
assert hasattr(hyperopt, "position_stacking")
@@ -685,13 +695,36 @@ def test_buy_strategy_generator(hyperopt, testdatadir) -> None:
assert 1 in result['buy']
def test_generate_optimizer(mocker, default_conf) -> None:
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'timerange': None,
'spaces': 'all',
'hyperopt_min_trades': 1,
})
def test_sell_strategy_generator(hyperopt, testdatadir) -> None:
data = load_data(testdatadir, '1m', ['UNITTEST/BTC'], fill_up_missing=True)
dataframes = hyperopt.backtesting.strategy.ohlcvdata_to_dataframe(data)
dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
{'pair': 'UNITTEST/BTC'})
populate_sell_trend = hyperopt.custom_hyperopt.sell_strategy_generator(
{
'sell-adx-value': 20,
'sell-fastd-value': 75,
'sell-mfi-value': 80,
'sell-rsi-value': 20,
'sell-adx-enabled': True,
'sell-fastd-enabled': True,
'sell-mfi-enabled': True,
'sell-rsi-enabled': True,
'sell-trigger': 'sell-bb_upper'
}
)
result = populate_sell_trend(dataframe, {'pair': 'UNITTEST/BTC'})
# Check if some indicators are generated. We will not test all of them
print(result)
assert 'sell' in result
assert 1 in result['sell']
def test_generate_optimizer(mocker, hyperopt_conf) -> None:
hyperopt_conf.update({'spaces': 'all',
'hyperopt_min_trades': 1,
})
trades = [
('TRX/BTC', 0.023117, 0.000233, 100)
@@ -743,8 +776,10 @@ def test_generate_optimizer(mocker, default_conf) -> None:
}
response_expected = {
'loss': 1.9840569076926293,
'results_explanation': (' 1 trades. Avg profit 2.31%. Total profit 0.00023300 BTC '
'( 2.31\N{GREEK CAPITAL LETTER SIGMA}%). Avg duration 100.0 min.'
'results_explanation': (' 1 trades. 1/0/0 Wins/Draws/Losses. '
'Avg profit 2.31%. Median profit 2.31%. Total profit '
'0.00023300 BTC ( 2.31\N{GREEK CAPITAL LETTER SIGMA}%). '
'Avg duration 100.0 min.'
).encode(locale.getpreferredencoding(), 'replace').decode('utf-8'),
'params_details': {'buy': {'adx-enabled': False,
'adx-value': 0,
@@ -775,55 +810,47 @@ def test_generate_optimizer(mocker, default_conf) -> None:
'trailing_stop_positive_offset': 0.07}},
'params_dict': optimizer_param,
'results_metrics': {'avg_profit': 2.3117,
'draws': 0,
'duration': 100.0,
'losses': 0,
'winsdrawslosses': '1/0/0',
'median_profit': 2.3117,
'profit': 2.3117,
'total_profit': 0.000233,
'trade_count': 1},
'trade_count': 1,
'wins': 1},
'total_profit': 0.00023300
}
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.dimensions = hyperopt.hyperopt_space()
generate_optimizer_value = hyperopt.generate_optimizer(list(optimizer_param.values()))
assert generate_optimizer_value == response_expected
def test_clean_hyperopt(mocker, default_conf, caplog):
def test_clean_hyperopt(mocker, hyperopt_conf, caplog):
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'default',
'hyperopt_jobs': 1,
})
mocker.patch("freqtrade.optimize.hyperopt.Path.is_file", MagicMock(return_value=True))
unlinkmock = mocker.patch("freqtrade.optimize.hyperopt.Path.unlink", MagicMock())
h = Hyperopt(default_conf)
h = Hyperopt(hyperopt_conf)
assert unlinkmock.call_count == 2
assert log_has(f"Removing `{h.data_pickle_file}`.", caplog)
def test_continue_hyperopt(mocker, default_conf, caplog):
def test_continue_hyperopt(mocker, hyperopt_conf, caplog):
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'default',
'hyperopt_jobs': 1,
'hyperopt_continue': True
})
hyperopt_conf.update({'hyperopt_continue': True})
mocker.patch("freqtrade.optimize.hyperopt.Path.is_file", MagicMock(return_value=True))
unlinkmock = mocker.patch("freqtrade.optimize.hyperopt.Path.unlink", MagicMock())
Hyperopt(default_conf)
Hyperopt(hyperopt_conf)
assert unlinkmock.call_count == 0
assert log_has("Continuing on previous hyperopt results.", caplog)
def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
def test_print_json_spaces_all(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -854,16 +881,12 @@ def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
)
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'all',
'hyperopt_jobs': 1,
'print_json': True,
})
hyperopt_conf.update({'spaces': 'all',
'hyperopt_jobs': 1,
'print_json': True,
})
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
@@ -882,7 +905,7 @@ def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
assert dumper.call_count == 2
def test_print_json_spaces_default(mocker, default_conf, caplog, capsys) -> None:
def test_print_json_spaces_default(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -912,16 +935,9 @@ def test_print_json_spaces_default(mocker, default_conf, caplog, capsys) -> None
)
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'default',
'hyperopt_jobs': 1,
'print_json': True,
})
hyperopt_conf.update({'print_json': True})
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
@@ -936,7 +952,7 @@ def test_print_json_spaces_default(mocker, default_conf, caplog, capsys) -> None
assert dumper.call_count == 2
def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) -> None:
def test_print_json_spaces_roi_stoploss(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -962,16 +978,12 @@ def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) ->
)
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'roi stoploss',
'hyperopt_jobs': 1,
'print_json': True,
})
hyperopt_conf.update({'spaces': 'roi stoploss',
'hyperopt_jobs': 1,
'print_json': True,
})
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
@@ -986,7 +998,7 @@ def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) ->
assert dumper.call_count == 2
def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys) -> None:
def test_simplified_interface_roi_stoploss(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -1011,14 +1023,9 @@ def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys)
)
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'roi stoploss',
'hyperopt_jobs': 1, })
hyperopt_conf.update({'spaces': 'roi stoploss'})
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
@@ -1039,11 +1046,11 @@ def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys)
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
assert hasattr(hyperopt, "max_open_trades")
assert hyperopt.max_open_trades == default_conf['max_open_trades']
assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
assert hasattr(hyperopt, "position_stacking")
def test_simplified_interface_all_failed(mocker, default_conf, caplog, capsys) -> None:
def test_simplified_interface_all_failed(mocker, hyperopt_conf) -> None:
mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -1054,14 +1061,9 @@ def test_simplified_interface_all_failed(mocker, default_conf, caplog, capsys) -
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'all',
'hyperopt_jobs': 1, })
hyperopt_conf.update({'spaces': 'all', })
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
@@ -1074,7 +1076,7 @@ def test_simplified_interface_all_failed(mocker, default_conf, caplog, capsys) -
hyperopt.start()
def test_simplified_interface_buy(mocker, default_conf, caplog, capsys) -> None:
def test_simplified_interface_buy(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -1099,14 +1101,9 @@ def test_simplified_interface_buy(mocker, default_conf, caplog, capsys) -> None:
)
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'buy',
'hyperopt_jobs': 1, })
hyperopt_conf.update({'spaces': 'buy'})
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
@@ -1127,11 +1124,11 @@ def test_simplified_interface_buy(mocker, default_conf, caplog, capsys) -> None:
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
assert hasattr(hyperopt, "max_open_trades")
assert hyperopt.max_open_trades == default_conf['max_open_trades']
assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
assert hasattr(hyperopt, "position_stacking")
def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None:
def test_simplified_interface_sell(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -1156,14 +1153,9 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None
)
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': 'sell',
'hyperopt_jobs': 1, })
hyperopt_conf.update({'spaces': 'sell', })
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
@@ -1184,7 +1176,7 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
assert hasattr(hyperopt, "max_open_trades")
assert hyperopt.max_open_trades == default_conf['max_open_trades']
assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
assert hasattr(hyperopt, "position_stacking")
@@ -1194,7 +1186,7 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None
('sell_strategy_generator', 'sell'),
('sell_indicator_space', 'sell'),
])
def test_simplified_interface_failed(mocker, default_conf, caplog, capsys, method, space) -> None:
def test_simplified_interface_failed(mocker, hyperopt_conf, method, space) -> None:
mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -1205,14 +1197,9 @@ def test_simplified_interface_failed(mocker, default_conf, caplog, capsys, metho
patch_exchange(mocker)
default_conf.update({'config': 'config.json.example',
'hyperopt': 'DefaultHyperOpt',
'epochs': 1,
'timerange': None,
'spaces': space,
'hyperopt_jobs': 1, })
hyperopt_conf.update({'spaces': space})
hyperopt = Hyperopt(default_conf)
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})

View File

@@ -1,17 +1,32 @@
import re
from datetime import timedelta
from pathlib import Path
import pandas as pd
import pytest
from arrow import Arrow
from freqtrade.configuration import TimeRange
from freqtrade.constants import LAST_BT_RESULT_FN
from freqtrade.data import history
from freqtrade.data.btanalysis import (get_latest_backtest_filename,
load_backtest_data)
from freqtrade.edge import PairInfo
from freqtrade.optimize.optimize_reports import (
generate_edge_table, generate_text_table, generate_text_table_sell_reason,
generate_text_table_strategy, store_backtest_result)
from freqtrade.optimize.optimize_reports import (generate_backtest_stats,
generate_daily_stats,
generate_edge_table,
generate_pair_metrics,
generate_sell_reason_stats,
generate_strategy_metrics,
store_backtest_stats,
text_table_bt_results,
text_table_sell_reason,
text_table_strategy)
from freqtrade.strategy.interface import SellType
from tests.conftest import patch_exchange
from tests.data.test_history import _backup_file, _clean_test_file
def test_generate_text_table(default_conf, mocker):
def test_text_table_bt_results(default_conf, mocker):
results = pd.DataFrame(
{
@@ -35,12 +50,170 @@ def test_generate_text_table(default_conf, mocker):
'| TOTAL | 2 | 15.00 | 30.00 | 0.60000000 |'
' 15.00 | 0:20:00 | 2 | 0 | 0 |'
)
assert generate_text_table(data={'ETH/BTC': {}},
stake_currency='BTC', max_open_trades=2,
results=results) == result_str
pair_results = generate_pair_metrics(data={'ETH/BTC': {}}, stake_currency='BTC',
max_open_trades=2, results=results)
assert text_table_bt_results(pair_results, stake_currency='BTC') == result_str
def test_generate_text_table_sell_reason(default_conf, mocker):
def test_generate_backtest_stats(default_conf, testdatadir):
results = {'DefStrat': pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC",
"UNITTEST/BTC", "UNITTEST/BTC"],
"profit_percent": [0.003312, 0.010801, 0.013803, 0.002780],
"profit_abs": [0.000003, 0.000011, 0.000014, 0.000003],
"open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime,
Arrow(2017, 11, 14, 21, 36, 00).datetime,
Arrow(2017, 11, 14, 22, 12, 00).datetime,
Arrow(2017, 11, 14, 22, 44, 00).datetime],
"close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime,
Arrow(2017, 11, 14, 22, 10, 00).datetime,
Arrow(2017, 11, 14, 22, 43, 00).datetime,
Arrow(2017, 11, 14, 22, 58, 00).datetime],
"open_rate": [0.002543, 0.003003, 0.003089, 0.003214],
"close_rate": [0.002546, 0.003014, 0.003103, 0.003217],
"trade_duration": [123, 34, 31, 14],
"open_at_end": [False, False, False, True],
"sell_reason": [SellType.ROI, SellType.STOP_LOSS,
SellType.ROI, SellType.FORCE_SELL]
})}
timerange = TimeRange.parse_timerange('1510688220-1510700340')
min_date = Arrow.fromtimestamp(1510688220)
max_date = Arrow.fromtimestamp(1510700340)
btdata = history.load_data(testdatadir, '1m', ['UNITTEST/BTC'], timerange=timerange,
fill_up_missing=True)
stats = generate_backtest_stats(default_conf, btdata, results, min_date, max_date)
assert isinstance(stats, dict)
assert 'strategy' in stats
assert 'DefStrat' in stats['strategy']
assert 'strategy_comparison' in stats
strat_stats = stats['strategy']['DefStrat']
assert strat_stats['backtest_start'] == min_date.datetime
assert strat_stats['backtest_end'] == max_date.datetime
assert strat_stats['total_trades'] == len(results['DefStrat'])
# Above sample had no loosing trade
assert strat_stats['max_drawdown'] == 0.0
results = {'DefStrat': pd.DataFrame(
{"pair": ["UNITTEST/BTC", "UNITTEST/BTC", "UNITTEST/BTC", "UNITTEST/BTC"],
"profit_percent": [0.003312, 0.010801, -0.013803, 0.002780],
"profit_abs": [0.000003, 0.000011, -0.000014, 0.000003],
"open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime,
Arrow(2017, 11, 14, 21, 36, 00).datetime,
Arrow(2017, 11, 14, 22, 12, 00).datetime,
Arrow(2017, 11, 14, 22, 44, 00).datetime],
"close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime,
Arrow(2017, 11, 14, 22, 10, 00).datetime,
Arrow(2017, 11, 14, 22, 43, 00).datetime,
Arrow(2017, 11, 14, 22, 58, 00).datetime],
"open_rate": [0.002543, 0.003003, 0.003089, 0.003214],
"close_rate": [0.002546, 0.003014, 0.0032903, 0.003217],
"trade_duration": [123, 34, 31, 14],
"open_at_end": [False, False, False, True],
"sell_reason": [SellType.ROI, SellType.STOP_LOSS,
SellType.ROI, SellType.FORCE_SELL]
})}
assert strat_stats['max_drawdown'] == 0.0
assert strat_stats['drawdown_start'] == Arrow.fromtimestamp(0).datetime
assert strat_stats['drawdown_end'] == Arrow.fromtimestamp(0).datetime
assert strat_stats['drawdown_end_ts'] == 0
assert strat_stats['drawdown_start_ts'] == 0
assert strat_stats['pairlist'] == ['UNITTEST/BTC']
# Test storing stats
filename = Path(testdatadir / 'btresult.json')
filename_last = Path(testdatadir / LAST_BT_RESULT_FN)
_backup_file(filename_last, copy_file=True)
assert not filename.is_file()
store_backtest_stats(filename, stats)
# get real Filename (it's btresult-<date>.json)
last_fn = get_latest_backtest_filename(filename_last.parent)
assert re.match(r"btresult-.*\.json", last_fn)
filename1 = (testdatadir / last_fn)
assert filename1.is_file()
content = filename1.read_text()
assert 'max_drawdown' in content
assert 'strategy' in content
assert 'pairlist' in content
assert filename_last.is_file()
_clean_test_file(filename_last)
filename1.unlink()
def test_store_backtest_stats(testdatadir, mocker):
dump_mock = mocker.patch('freqtrade.optimize.optimize_reports.file_dump_json')
store_backtest_stats(testdatadir, {})
assert dump_mock.call_count == 2
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
assert str(dump_mock.call_args_list[0][0][0]).startswith(str(testdatadir/'backtest-result'))
dump_mock.reset_mock()
filename = testdatadir / 'testresult.json'
store_backtest_stats(filename, {})
assert dump_mock.call_count == 2
assert isinstance(dump_mock.call_args_list[0][0][0], Path)
# result will be testdatadir / testresult-<timestamp>.json
assert str(dump_mock.call_args_list[0][0][0]).startswith(str(testdatadir / 'testresult'))
def test_generate_pair_metrics(default_conf, mocker):
results = pd.DataFrame(
{
'pair': ['ETH/BTC', 'ETH/BTC'],
'profit_percent': [0.1, 0.2],
'profit_abs': [0.2, 0.4],
'trade_duration': [10, 30],
'wins': [2, 0],
'draws': [0, 0],
'losses': [0, 0]
}
)
pair_results = generate_pair_metrics(data={'ETH/BTC': {}}, stake_currency='BTC',
max_open_trades=2, results=results)
assert isinstance(pair_results, list)
assert len(pair_results) == 2
assert pair_results[-1]['key'] == 'TOTAL'
assert (
pytest.approx(pair_results[-1]['profit_mean_pct']) == pair_results[-1]['profit_mean'] * 100)
assert (
pytest.approx(pair_results[-1]['profit_sum_pct']) == pair_results[-1]['profit_sum'] * 100)
def test_generate_daily_stats(testdatadir):
filename = testdatadir / "backtest-result_new.json"
bt_data = load_backtest_data(filename)
res = generate_daily_stats(bt_data)
assert isinstance(res, dict)
assert round(res['backtest_best_day'], 4) == 0.1796
assert round(res['backtest_worst_day'], 4) == -0.1468
assert res['winning_days'] == 14
assert res['draw_days'] == 4
assert res['losing_days'] == 3
assert res['winner_holding_avg'] == timedelta(seconds=1440)
assert res['loser_holding_avg'] == timedelta(days=1, seconds=21420)
# Select empty dataframe!
res = generate_daily_stats(bt_data.loc[bt_data['open_date'] == '2000-01-01', :])
assert isinstance(res, dict)
assert round(res['backtest_best_day'], 4) == 0.0
assert res['winning_days'] == 0
assert res['draw_days'] == 0
assert res['losing_days'] == 0
def test_text_table_sell_reason(default_conf):
results = pd.DataFrame(
{
@@ -65,11 +238,49 @@ def test_generate_text_table_sell_reason(default_conf, mocker):
'| stop_loss | 1 | 0 | 0 | 1 |'
' -10 | -10 | -0.2 | -5 |'
)
assert generate_text_table_sell_reason(stake_currency='BTC', max_open_trades=2,
results=results) == result_str
sell_reason_stats = generate_sell_reason_stats(max_open_trades=2,
results=results)
assert text_table_sell_reason(sell_reason_stats=sell_reason_stats,
stake_currency='BTC') == result_str
def test_generate_text_table_strategy(default_conf, mocker):
def test_generate_sell_reason_stats(default_conf):
results = pd.DataFrame(
{
'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
'profit_percent': [0.1, 0.2, -0.1],
'profit_abs': [0.2, 0.4, -0.2],
'trade_duration': [10, 30, 10],
'wins': [2, 0, 0],
'draws': [0, 0, 0],
'losses': [0, 0, 1],
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
}
)
sell_reason_stats = generate_sell_reason_stats(max_open_trades=2,
results=results)
roi_result = sell_reason_stats[0]
assert roi_result['sell_reason'] == 'roi'
assert roi_result['trades'] == 2
assert pytest.approx(roi_result['profit_mean']) == 0.15
assert roi_result['profit_mean_pct'] == round(roi_result['profit_mean'] * 100, 2)
assert pytest.approx(roi_result['profit_mean']) == 0.15
assert roi_result['profit_mean_pct'] == round(roi_result['profit_mean'] * 100, 2)
stop_result = sell_reason_stats[1]
assert stop_result['sell_reason'] == 'stop_loss'
assert stop_result['trades'] == 1
assert pytest.approx(stop_result['profit_mean']) == -0.1
assert stop_result['profit_mean_pct'] == round(stop_result['profit_mean'] * 100, 2)
assert pytest.approx(stop_result['profit_mean']) == -0.1
assert stop_result['profit_mean_pct'] == round(stop_result['profit_mean'] * 100, 2)
def test_text_table_strategy(default_conf, mocker):
results = {}
results['TestStrategy1'] = pd.DataFrame(
{
@@ -106,7 +317,12 @@ def test_generate_text_table_strategy(default_conf, mocker):
'| TestStrategy2 | 3 | 30.00 | 90.00 | 1.30000000 |'
' 45.00 | 0:20:00 | 3 | 0 | 0 |'
)
assert generate_text_table_strategy('BTC', 2, all_results=results) == result_str
strategy_results = generate_strategy_metrics(stake_currency='BTC',
max_open_trades=2,
all_results=results)
assert text_table_strategy(strategy_results, 'BTC') == result_str
def test_generate_edge_table(edge_conf, mocker):
@@ -117,77 +333,3 @@ def test_generate_edge_table(edge_conf, mocker):
assert generate_edge_table(results).count('| ETH/BTC |') == 1
assert generate_edge_table(results).count(
'| Risk Reward Ratio | Required Risk Reward | Expectancy |') == 1
def test_backtest_record(default_conf, fee, mocker):
names = []
records = []
patch_exchange(mocker)
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
mocker.patch(
'freqtrade.optimize.optimize_reports.file_dump_json',
new=lambda n, r: (names.append(n), records.append(r))
)
results = {'DefStrat': pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC",
"UNITTEST/BTC", "UNITTEST/BTC"],
"profit_percent": [0.003312, 0.010801, 0.013803, 0.002780],
"profit_abs": [0.000003, 0.000011, 0.000014, 0.000003],
"open_time": [Arrow(2017, 11, 14, 19, 32, 00).datetime,
Arrow(2017, 11, 14, 21, 36, 00).datetime,
Arrow(2017, 11, 14, 22, 12, 00).datetime,
Arrow(2017, 11, 14, 22, 44, 00).datetime],
"close_time": [Arrow(2017, 11, 14, 21, 35, 00).datetime,
Arrow(2017, 11, 14, 22, 10, 00).datetime,
Arrow(2017, 11, 14, 22, 43, 00).datetime,
Arrow(2017, 11, 14, 22, 58, 00).datetime],
"open_rate": [0.002543, 0.003003, 0.003089, 0.003214],
"close_rate": [0.002546, 0.003014, 0.003103, 0.003217],
"open_index": [1, 119, 153, 185],
"close_index": [118, 151, 184, 199],
"trade_duration": [123, 34, 31, 14],
"open_at_end": [False, False, False, True],
"sell_reason": [SellType.ROI, SellType.STOP_LOSS,
SellType.ROI, SellType.FORCE_SELL]
})}
store_backtest_result(Path("backtest-result.json"), results)
# Assert file_dump_json was only called once
assert names == [Path('backtest-result.json')]
records = records[0]
# Ensure records are of correct type
assert len(records) == 4
# reset test to test with strategy name
names = []
records = []
results['Strat'] = results['DefStrat']
results['Strat2'] = results['DefStrat']
store_backtest_result(Path("backtest-result.json"), results)
assert names == [
Path('backtest-result-DefStrat.json'),
Path('backtest-result-Strat.json'),
Path('backtest-result-Strat2.json'),
]
records = records[0]
# Ensure records are of correct type
assert len(records) == 4
# ('UNITTEST/BTC', 0.00331158, '1510684320', '1510691700', 0, 117)
# Below follows just a typecheck of the schema/type of trade-records
oix = None
for (pair, profit, date_buy, date_sell, buy_index, dur,
openr, closer, open_at_end, sell_reason) in records:
assert pair == 'UNITTEST/BTC'
assert isinstance(profit, float)
# FIX: buy/sell should be converted to ints
assert isinstance(date_buy, float)
assert isinstance(date_sell, float)
assert isinstance(openr, float)
assert isinstance(closer, float)
assert isinstance(open_at_end, bool)
assert isinstance(sell_reason, str)
isinstance(buy_index, pd._libs.tslib.Timestamp)
if oix:
assert buy_index > oix
oix = buy_index
assert dur > 0

View File

@@ -19,7 +19,8 @@ def whitelist_conf(default_conf):
'TKN/BTC',
'TRST/BTC',
'SWT/BTC',
'BCC/BTC'
'BCC/BTC',
'HOT/BTC',
]
default_conf['exchange']['pair_blacklist'] = [
'BLK/BTC'
@@ -34,6 +35,53 @@ def whitelist_conf(default_conf):
return default_conf
@pytest.fixture(scope="function")
def whitelist_conf_2(default_conf):
default_conf['stake_currency'] = 'BTC'
default_conf['exchange']['pair_whitelist'] = [
'ETH/BTC', 'TKN/BTC', 'BLK/BTC', 'LTC/BTC',
'BTT/BTC', 'HOT/BTC', 'FUEL/BTC', 'XRP/BTC'
]
default_conf['exchange']['pair_blacklist'] = [
'BLK/BTC'
]
default_conf['pairlists'] = [
# { "method": "StaticPairList"},
{
"method": "VolumePairList",
"number_assets": 5,
"sort_key": "quoteVolume",
"refresh_period": 0,
},
]
return default_conf
@pytest.fixture(scope="function")
def whitelist_conf_3(default_conf):
default_conf['stake_currency'] = 'BTC'
default_conf['exchange']['pair_whitelist'] = [
'ETH/BTC', 'TKN/BTC', 'BLK/BTC', 'LTC/BTC',
'BTT/BTC', 'HOT/BTC', 'FUEL/BTC', 'XRP/BTC'
]
default_conf['exchange']['pair_blacklist'] = [
'BLK/BTC'
]
default_conf['pairlists'] = [
{
"method": "VolumePairList",
"number_assets": 5,
"sort_key": "quoteVolume",
"refresh_period": 0,
},
{
"method": "AgeFilter",
"min_days_listed": 2
}
]
return default_conf
@pytest.fixture(scope="function")
def static_pl_conf(whitelist_conf):
whitelist_conf['pairlists'] = [
@@ -119,24 +167,49 @@ def test_refresh_pairlist_dynamic(mocker, shitcoinmarkets, tickers, whitelist_co
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=shitcoinmarkets),
)
)
# argument: use the whitelist dynamically by exchange-volume
whitelist = ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC', 'HOT/BTC']
freqtrade.pairlists.refresh_pairlist()
assert whitelist == freqtrade.pairlists.whitelist
whitelist_conf['pairlists'] = [{'method': 'VolumePairList',
'config': {}
}
]
whitelist_conf['pairlists'] = [{'method': 'VolumePairList'}]
with pytest.raises(OperationalException,
match=r'`number_assets` not specified. Please check your configuration '
r'for "pairlist.config.number_assets"'):
PairListManager(freqtrade.exchange, whitelist_conf)
def test_refresh_pairlist_dynamic_2(mocker, shitcoinmarkets, tickers, whitelist_conf_2):
tickers_dict = tickers()
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
exchange_has=MagicMock(return_value=True),
)
# Remove caching of ticker data to emulate changing volume by the time of second call
mocker.patch.multiple(
'freqtrade.pairlist.pairlistmanager.PairListManager',
_get_cached_tickers=MagicMock(return_value=tickers_dict),
)
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf_2)
# Remock markets with shitcoinmarkets since get_patched_freqtradebot uses the markets fixture
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=shitcoinmarkets),
)
whitelist = ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC', 'HOT/BTC']
freqtrade.pairlists.refresh_pairlist()
assert whitelist == freqtrade.pairlists.whitelist
whitelist = ['FUEL/BTC', 'ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC']
tickers_dict['FUEL/BTC']['quoteVolume'] = 10000.0
freqtrade.pairlists.refresh_pairlist()
assert whitelist == freqtrade.pairlists.whitelist
def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
@@ -162,7 +235,7 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "bidVolume"}],
"BTC", ['HOT/BTC', 'FUEL/BTC', 'XRP/BTC', 'LTC/BTC', 'TKN/BTC']),
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"}],
"USDT", ['ETH/USDT', 'NANO/USDT', 'ADAHALF/USDT']),
"USDT", ['ETH/USDT', 'NANO/USDT', 'ADAHALF/USDT', 'ADADOUBLE/USDT']),
# No pair for ETH, VolumePairList
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"}],
"ETH", []),
@@ -172,17 +245,28 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
# No pair for ETH, all handlers
([{"method": "StaticPairList"},
{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "AgeFilter", "min_days_listed": 2},
{"method": "PrecisionFilter"},
{"method": "PriceFilter", "low_price_ratio": 0.03},
{"method": "SpreadFilter", "max_spread_ratio": 0.005},
{"method": "ShuffleFilter"}],
"ETH", []),
# AgeFilter and VolumePairList (require 2 days only, all should pass age test)
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "AgeFilter", "min_days_listed": 2}],
"BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC', 'HOT/BTC']),
# AgeFilter and VolumePairList (require 10 days, all should fail age test)
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "AgeFilter", "min_days_listed": 10}],
"BTC", []),
# Precisionfilter and quote volume
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "PrecisionFilter"}], "BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC']),
{"method": "PrecisionFilter"}],
"BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC']),
# Precisionfilter bid
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "bidVolume"},
{"method": "PrecisionFilter"}], "BTC", ['FUEL/BTC', 'XRP/BTC', 'LTC/BTC', 'TKN/BTC']),
{"method": "PrecisionFilter"}],
"BTC", ['FUEL/BTC', 'XRP/BTC', 'LTC/BTC', 'TKN/BTC']),
# PriceFilter and VolumePairList
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "PriceFilter", "low_price_ratio": 0.03}],
@@ -191,22 +275,27 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "PriceFilter", "low_price_ratio": 0.03}],
"USDT", ['ETH/USDT', 'NANO/USDT']),
# Hot is removed by precision_filter, Fuel by low_price_filter.
# Hot is removed by precision_filter, Fuel by low_price_ratio, Ripple by min_price.
([{"method": "VolumePairList", "number_assets": 6, "sort_key": "quoteVolume"},
{"method": "PrecisionFilter"},
{"method": "PriceFilter", "low_price_ratio": 0.02}],
"BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC']),
{"method": "PriceFilter", "low_price_ratio": 0.02, "min_price": 0.01}],
"BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC']),
# Hot is removed by precision_filter, Fuel by low_price_ratio, Ethereum by max_price.
([{"method": "VolumePairList", "number_assets": 6, "sort_key": "quoteVolume"},
{"method": "PrecisionFilter"},
{"method": "PriceFilter", "low_price_ratio": 0.02, "max_price": 0.05}],
"BTC", ['TKN/BTC', 'LTC/BTC', 'XRP/BTC']),
# HOT and XRP are removed because below 1250 quoteVolume
([{"method": "VolumePairList", "number_assets": 5,
"sort_key": "quoteVolume", "min_value": 1250}],
"BTC", ['ETH/BTC', 'TKN/BTC', 'LTC/BTC']),
# StaticPairlist only
([{"method": "StaticPairList"}],
"BTC", ['ETH/BTC', 'TKN/BTC']),
"BTC", ['ETH/BTC', 'TKN/BTC', 'HOT/BTC']),
# Static Pairlist before VolumePairList - sorting changes
([{"method": "StaticPairList"},
{"method": "VolumePairList", "number_assets": 5, "sort_key": "bidVolume"}],
"BTC", ['TKN/BTC', 'ETH/BTC']),
"BTC", ['HOT/BTC', 'TKN/BTC', 'ETH/BTC']),
# SpreadFilter
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "SpreadFilter", "max_spread_ratio": 0.005}],
@@ -214,69 +303,143 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
# ShuffleFilter
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "ShuffleFilter", "seed": 77}],
"USDT", ['ETH/USDT', 'ADAHALF/USDT', 'NANO/USDT']),
"USDT", ['ADADOUBLE/USDT', 'ETH/USDT', 'NANO/USDT', 'ADAHALF/USDT']),
# ShuffleFilter, other seed
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "ShuffleFilter", "seed": 42}],
"USDT", ['NANO/USDT', 'ETH/USDT', 'ADAHALF/USDT']),
"USDT", ['ADAHALF/USDT', 'NANO/USDT', 'ADADOUBLE/USDT', 'ETH/USDT']),
# ShuffleFilter, no seed
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "quoteVolume"},
{"method": "ShuffleFilter"}],
"USDT", 3),
"USDT", 3), # whitelist_result is integer -- check only length of randomized pairlist
# AgeFilter only
([{"method": "AgeFilter", "min_days_listed": 2}],
"BTC", 'filter_at_the_beginning'), # OperationalException expected
# PrecisionFilter after StaticPairList
([{"method": "StaticPairList"},
{"method": "PrecisionFilter"}],
"BTC", ['ETH/BTC', 'TKN/BTC']),
# PrecisionFilter only
([{"method": "PrecisionFilter"}],
"BTC", 'filter_at_the_beginning'), # OperationalException expected
# PriceFilter after StaticPairList
([{"method": "StaticPairList"},
{"method": "PriceFilter", "low_price_ratio": 0.02, "min_price": 0.000001, "max_price": 0.1}],
"BTC", ['ETH/BTC', 'TKN/BTC']),
# PriceFilter only
([{"method": "PriceFilter", "low_price_ratio": 0.02}],
"BTC", 'filter_at_the_beginning'), # OperationalException expected
# ShuffleFilter after StaticPairList
([{"method": "StaticPairList"},
{"method": "ShuffleFilter", "seed": 42}],
"BTC", ['TKN/BTC', 'ETH/BTC', 'HOT/BTC']),
# ShuffleFilter only
([{"method": "ShuffleFilter", "seed": 42}],
"BTC", 'filter_at_the_beginning'), # OperationalException expected
# SpreadFilter after StaticPairList
([{"method": "StaticPairList"},
{"method": "SpreadFilter", "max_spread_ratio": 0.005}],
"BTC", ['ETH/BTC', 'TKN/BTC']),
# SpreadFilter only
([{"method": "SpreadFilter", "max_spread_ratio": 0.005}],
"BTC", 'filter_at_the_beginning'), # OperationalException expected
# Static Pairlist after VolumePairList, on a non-first position
([{"method": "VolumePairList", "number_assets": 5, "sort_key": "bidVolume"},
{"method": "StaticPairList"}],
"BTC", 'static_in_the_middle'),
([{"method": "VolumePairList", "number_assets": 20, "sort_key": "quoteVolume"},
{"method": "PriceFilter", "low_price_ratio": 0.02}],
"USDT", ['ETH/USDT', 'NANO/USDT']),
])
def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, tickers,
pairlists, base_currency, whitelist_result,
caplog) -> None:
ohlcv_history_list, pairlists, base_currency,
whitelist_result, caplog) -> None:
whitelist_conf['pairlists'] = pairlists
whitelist_conf['stake_currency'] = base_currency
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf)
if whitelist_result == 'static_in_the_middle':
with pytest.raises(OperationalException,
match=r"StaticPairList can only be used in the first position "
r"in the list of Pairlist Handlers."):
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf)
return
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf)
mocker.patch.multiple('freqtrade.exchange.Exchange',
get_tickers=tickers,
markets=PropertyMock(return_value=shitcoinmarkets),
markets=PropertyMock(return_value=shitcoinmarkets)
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
get_historic_ohlcv=MagicMock(return_value=ohlcv_history_list),
)
freqtrade.pairlists.refresh_pairlist()
whitelist = freqtrade.pairlists.whitelist
assert isinstance(whitelist, list)
# Verify length of pairlist matches (used for ShuffleFilter without seed)
if type(whitelist_result) is list:
assert whitelist == whitelist_result
# Set whitelist_result to None if pairlist is invalid and should produce exception
if whitelist_result == 'filter_at_the_beginning':
with pytest.raises(OperationalException,
match=r"This Pairlist Handler should not be used at the first position "
r"in the list of Pairlist Handlers."):
freqtrade.pairlists.refresh_pairlist()
else:
len(whitelist) == whitelist_result
freqtrade.pairlists.refresh_pairlist()
whitelist = freqtrade.pairlists.whitelist
for pairlist in pairlists:
if pairlist['method'] == 'PrecisionFilter' and whitelist_result:
assert log_has_re(r'^Removed .* from whitelist, because stop price .* '
r'would be <= stop limit.*', caplog)
if pairlist['method'] == 'PriceFilter' and whitelist_result:
assert (log_has_re(r'^Removed .* from whitelist, because 1 unit is .*%$', caplog) or
log_has_re(r"^Removed .* from whitelist, because ticker\['last'\] is empty.*",
caplog))
if pairlist['method'] == 'VolumePairList':
logmsg = ("DEPRECATED: using any key other than quoteVolume for "
"VolumePairList is deprecated.")
if pairlist['sort_key'] != 'quoteVolume':
assert log_has(logmsg, caplog)
else:
assert not log_has(logmsg, caplog)
assert isinstance(whitelist, list)
# Verify length of pairlist matches (used for ShuffleFilter without seed)
if type(whitelist_result) is list:
assert whitelist == whitelist_result
else:
len(whitelist) == whitelist_result
for pairlist in pairlists:
if pairlist['method'] == 'AgeFilter' and pairlist['min_days_listed'] and \
len(ohlcv_history_list) <= pairlist['min_days_listed']:
assert log_has_re(r'^Removed .* from whitelist, because age .* is less than '
r'.* day.*', caplog)
if pairlist['method'] == 'PrecisionFilter' and whitelist_result:
assert log_has_re(r'^Removed .* from whitelist, because stop price .* '
r'would be <= stop limit.*', caplog)
if pairlist['method'] == 'PriceFilter' and whitelist_result:
assert (log_has_re(r'^Removed .* from whitelist, because 1 unit is .*%$', caplog) or
log_has_re(r'^Removed .* from whitelist, '
r'because last price < .*%$', caplog) or
log_has_re(r'^Removed .* from whitelist, '
r'because last price > .*%$', caplog) or
log_has_re(r"^Removed .* from whitelist, because ticker\['last'\] "
r"is empty.*", caplog))
if pairlist['method'] == 'VolumePairList':
logmsg = ("DEPRECATED: using any key other than quoteVolume for "
"VolumePairList is deprecated.")
if pairlist['sort_key'] != 'quoteVolume':
assert log_has(logmsg, caplog)
else:
assert not log_has(logmsg, caplog)
def test_PrecisionFilter_error(mocker, whitelist_conf, tickers) -> None:
whitelist_conf['pairlists'] = [{"method": "StaticPairList"}, {"method": "PrecisionFilter"}]
del whitelist_conf['stoploss']
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))
with pytest.raises(OperationalException,
match=r"PrecisionFilter can only work with stoploss defined\..*"):
PairListManager(MagicMock, whitelist_conf)
def test_gen_pair_whitelist_not_supported(mocker, default_conf, tickers) -> None:
default_conf['pairlists'] = [{'method': 'VolumePairList',
'config': {'number_assets': 10}
}]
default_conf['pairlists'] = [{'method': 'VolumePairList', 'number_assets': 10}]
mocker.patch.multiple('freqtrade.exchange.Exchange',
get_tickers=tickers,
exchange_has=MagicMock(return_value=False),
)
with pytest.raises(OperationalException):
with pytest.raises(OperationalException,
match=r'Exchange does not support dynamic whitelist.*'):
get_patched_freqtradebot(mocker, default_conf)
@@ -305,7 +468,9 @@ def test_pairlist_class(mocker, whitelist_conf, markets, pairlist):
# BCH/BTC not available
(['ETH/BTC', 'TKN/BTC', 'BCH/BTC'], "is not compatible with exchange"),
# BTT/BTC is inactive
(['ETH/BTC', 'TKN/BTC', 'BTT/BTC'], "Market is not active")
(['ETH/BTC', 'TKN/BTC', 'BTT/BTC'], "Market is not active"),
# XLTCUSDT is not a valid pair
(['ETH/BTC', 'TKN/BTC', 'XLTCUSDT'], "is not tradable with Freqtrade"),
])
def test__whitelist_for_active_markets(mocker, whitelist_conf, markets, pairlist, whitelist, caplog,
log_message, tickers):
@@ -326,6 +491,23 @@ def test__whitelist_for_active_markets(mocker, whitelist_conf, markets, pairlist
assert log_message in caplog.text
@pytest.mark.parametrize("pairlist", AVAILABLE_PAIRLISTS)
def test__whitelist_for_active_markets_empty(mocker, whitelist_conf, markets, pairlist, tickers):
whitelist_conf['pairlists'][0]['method'] = pairlist
mocker.patch('freqtrade.exchange.Exchange.exchange_has', return_value=True)
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf)
mocker.patch.multiple('freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=None),
get_tickers=tickers
)
# Assign starting whitelist
pairlist_handler = freqtrade.pairlists._pairlist_handlers[0]
with pytest.raises(OperationalException, match=r'Markets not loaded.*'):
pairlist_handler._whitelist_for_active_markets(['ETH/BTC'])
def test_volumepairlist_invalid_sortvalue(mocker, markets, whitelist_conf):
whitelist_conf['pairlists'][0].update({"sort_key": "asdf"})
@@ -356,6 +538,114 @@ def test_volumepairlist_caching(mocker, markets, whitelist_conf, tickers):
assert freqtrade.pairlists._pairlist_handlers[0]._last_refresh == lrf
def test_agefilter_min_days_listed_too_small(mocker, default_conf, markets, tickers, caplog):
default_conf['pairlists'] = [{'method': 'VolumePairList', 'number_assets': 10},
{'method': 'AgeFilter', 'min_days_listed': -1}]
mocker.patch.multiple('freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
exchange_has=MagicMock(return_value=True),
get_tickers=tickers
)
with pytest.raises(OperationalException,
match=r'AgeFilter requires min_days_listed to be >= 1'):
get_patched_freqtradebot(mocker, default_conf)
def test_agefilter_min_days_listed_too_large(mocker, default_conf, markets, tickers, caplog):
default_conf['pairlists'] = [{'method': 'VolumePairList', 'number_assets': 10},
{'method': 'AgeFilter', 'min_days_listed': 99999}]
mocker.patch.multiple('freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
exchange_has=MagicMock(return_value=True),
get_tickers=tickers
)
with pytest.raises(OperationalException,
match=r'AgeFilter requires min_days_listed to not exceed '
r'exchange max request size \([0-9]+\)'):
get_patched_freqtradebot(mocker, default_conf)
def test_agefilter_caching(mocker, markets, whitelist_conf_3, tickers, ohlcv_history_list):
mocker.patch.multiple('freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
exchange_has=MagicMock(return_value=True),
get_tickers=tickers
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
get_historic_ohlcv=MagicMock(return_value=ohlcv_history_list),
)
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf_3)
assert freqtrade.exchange.get_historic_ohlcv.call_count == 0
freqtrade.pairlists.refresh_pairlist()
assert freqtrade.exchange.get_historic_ohlcv.call_count > 0
previous_call_count = freqtrade.exchange.get_historic_ohlcv.call_count
freqtrade.pairlists.refresh_pairlist()
# Should not have increased since first call.
assert freqtrade.exchange.get_historic_ohlcv.call_count == previous_call_count
@pytest.mark.parametrize("pairlistconfig,desc_expected,exception_expected", [
({"method": "PriceFilter", "low_price_ratio": 0.001, "min_price": 0.00000010,
"max_price": 1.0},
"[{'PriceFilter': 'PriceFilter - Filtering pairs priced below "
"0.1% or below 0.00000010 or above 1.00000000.'}]",
None
),
({"method": "PriceFilter", "low_price_ratio": 0.001, "min_price": 0.00000010},
"[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or below 0.00000010.'}]",
None
),
({"method": "PriceFilter", "low_price_ratio": 0.001, "max_price": 1.00010000},
"[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or above 1.00010000.'}]",
None
),
({"method": "PriceFilter", "min_price": 0.00002000},
"[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.00002000.'}]",
None
),
({"method": "PriceFilter"},
"[{'PriceFilter': 'PriceFilter - No price filters configured.'}]",
None
),
({"method": "PriceFilter", "low_price_ratio": -0.001},
None,
"PriceFilter requires low_price_ratio to be >= 0"
), # OperationalException expected
({"method": "PriceFilter", "min_price": -0.00000010},
None,
"PriceFilter requires min_price to be >= 0"
), # OperationalException expected
({"method": "PriceFilter", "max_price": -1.00010000},
None,
"PriceFilter requires max_price to be >= 0"
), # OperationalException expected
])
def test_pricefilter_desc(mocker, whitelist_conf, markets, pairlistconfig,
desc_expected, exception_expected):
mocker.patch.multiple('freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
exchange_has=MagicMock(return_value=True)
)
whitelist_conf['pairlists'] = [pairlistconfig]
if desc_expected is not None:
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf)
short_desc = str(freqtrade.pairlists.short_desc())
assert short_desc == desc_expected
else: # OperationalException expected
with pytest.raises(OperationalException,
match=exception_expected):
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf)
def test_pairlistmanager_no_pairlist(mocker, markets, whitelist_conf, caplog):
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))

View File

@@ -8,12 +8,13 @@ import pytest
from numpy import isnan
from freqtrade.edge import PairInfo
from freqtrade.exceptions import DependencyException, TemporaryError
from freqtrade.exceptions import ExchangeError, InvalidOrderException, TemporaryError
from freqtrade.persistence import Trade
from freqtrade.rpc import RPC, RPCException
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
from freqtrade.state import State
from tests.conftest import get_patched_freqtradebot, patch_get_signal, create_mock_trades
from tests.conftest import (create_mock_trades, get_patched_freqtradebot,
patch_get_signal)
# Functions for recurrent object patching
@@ -42,22 +43,27 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
rpc._rpc_trade_status()
freqtradebot.enter_positions()
trades = Trade.get_open_trades()
trades[0].open_order_id = None
freqtradebot.exit_positions(trades)
results = rpc._rpc_trade_status()
assert {
assert results[0] == {
'trade_id': 1,
'pair': 'ETH/BTC',
'base_currency': 'BTC',
'open_date': ANY,
'open_date_hum': ANY,
'open_timestamp': ANY,
'is_open': ANY,
'fee_open': ANY,
'fee_open_cost': ANY,
'fee_open_currency': ANY,
'fee_close': ANY,
'fee_close': fee.return_value,
'fee_close_cost': ANY,
'fee_close_currency': ANY,
'open_rate_requested': ANY,
'open_trade_price': ANY,
'open_trade_price': 0.0010025,
'close_rate_requested': ANY,
'sell_reason': ANY,
'sell_order_status': ANY,
@@ -65,39 +71,59 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'max_rate': ANY,
'strategy': ANY,
'ticker_interval': ANY,
'timeframe': ANY,
'open_order_id': ANY,
'close_date': None,
'close_date_hum': None,
'close_timestamp': None,
'open_rate': 1.098e-05,
'close_rate': None,
'current_rate': 1.099e-05,
'amount': 91.07468124,
'amount': 91.07468123,
'amount_requested': 91.07468123,
'stake_amount': 0.001,
'close_profit': None,
'current_profit': -0.41,
'stop_loss': 0.0,
'initial_stop_loss': 0.0,
'initial_stop_loss_pct': None,
'stop_loss_pct': None,
'open_order': '(limit buy rem=0.00000000)'
} == results[0]
'close_profit_pct': None,
'close_profit_abs': None,
'current_profit': -0.00408133,
'current_profit_pct': -0.41,
'current_profit_abs': -4.09e-06,
'stop_loss': 9.882e-06,
'stop_loss_abs': 9.882e-06,
'stop_loss_pct': -10.0,
'stop_loss_ratio': -0.1,
'stoploss_order_id': None,
'stoploss_last_update': ANY,
'stoploss_last_update_timestamp': ANY,
'initial_stop_loss': 9.882e-06,
'initial_stop_loss_abs': 9.882e-06,
'initial_stop_loss_pct': -10.0,
'initial_stop_loss_ratio': -0.1,
'stoploss_current_dist': -1.1080000000000002e-06,
'stoploss_current_dist_ratio': -0.10081893,
'stoploss_entry_dist': -0.00010475,
'stoploss_entry_dist_ratio': -0.10448878,
'open_order': None,
'exchange': 'bittrex',
}
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
MagicMock(side_effect=DependencyException("Pair 'ETH/BTC' not available")))
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
results = rpc._rpc_trade_status()
assert isnan(results[0]['current_profit'])
assert isnan(results[0]['current_rate'])
assert {
assert results[0] == {
'trade_id': 1,
'pair': 'ETH/BTC',
'base_currency': 'BTC',
'open_date': ANY,
'open_date_hum': ANY,
'open_timestamp': ANY,
'is_open': ANY,
'fee_open': ANY,
'fee_open_cost': ANY,
'fee_open_currency': ANY,
'fee_close': ANY,
'fee_close': fee.return_value,
'fee_close_cost': ANY,
'fee_close_currency': ANY,
'open_rate_requested': ANY,
@@ -109,22 +135,41 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'max_rate': ANY,
'strategy': ANY,
'ticker_interval': ANY,
'timeframe': ANY,
'open_order_id': ANY,
'close_date': None,
'close_date_hum': None,
'close_timestamp': None,
'open_rate': 1.098e-05,
'close_rate': None,
'current_rate': ANY,
'amount': 91.07468124,
'amount': 91.07468123,
'amount_requested': 91.07468123,
'stake_amount': 0.001,
'close_profit': None,
'close_profit_pct': None,
'close_profit_abs': None,
'current_profit': ANY,
'stop_loss': 0.0,
'initial_stop_loss': 0.0,
'initial_stop_loss_pct': None,
'stop_loss_pct': None,
'open_order': '(limit buy rem=0.00000000)'
} == results[0]
'current_profit_pct': ANY,
'current_profit_abs': ANY,
'stop_loss': 9.882e-06,
'stop_loss_abs': 9.882e-06,
'stop_loss_pct': -10.0,
'stop_loss_ratio': -0.1,
'stoploss_order_id': None,
'stoploss_last_update': ANY,
'stoploss_last_update_timestamp': ANY,
'initial_stop_loss': 9.882e-06,
'initial_stop_loss_abs': 9.882e-06,
'initial_stop_loss_pct': -10.0,
'initial_stop_loss_ratio': -0.1,
'stoploss_current_dist': ANY,
'stoploss_current_dist_ratio': ANY,
'stoploss_entry_dist': -0.00010475,
'stoploss_entry_dist_ratio': -0.10448878,
'open_order': None,
'exchange': 'bittrex',
}
def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
@@ -167,7 +212,7 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
assert '-0.41% (-0.06)' == result[0][3]
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
MagicMock(side_effect=DependencyException("Pair 'ETH/BTC' not available")))
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
result, headers = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
assert 'instantly' == result[0][2]
assert 'ETH/BTC' in result[0][1]
@@ -210,11 +255,11 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
assert days['fiat_display_currency'] == default_conf['fiat_display_currency']
for day in days['data']:
# [datetime.date(2018, 1, 11), '0.00000000 BTC', '0.000 USD']
assert (day['abs_profit'] == '0.00000000' or
day['abs_profit'] == '0.00006217')
assert (day['abs_profit'] == 0.0 or
day['abs_profit'] == 0.00006217)
assert (day['fiat_value'] == '0.000' or
day['fiat_value'] == '0.767')
assert (day['fiat_value'] == 0.0 or
day['fiat_value'] == 0.76748865)
# ensure first day is current date
assert str(days['data'][0]['date']) == str(datetime.utcnow().date())
@@ -241,12 +286,66 @@ def test_rpc_trade_history(mocker, default_conf, markets, fee):
assert isinstance(trades['trades'][1], dict)
trades = rpc._rpc_trade_history(0)
assert len(trades['trades']) == 3
assert trades['trades_count'] == 3
# The first trade is for ETH ... sorting is descending
assert trades['trades'][-1]['pair'] == 'ETH/BTC'
assert trades['trades'][0]['pair'] == 'ETC/BTC'
assert trades['trades'][1]['pair'] == 'ETC/BTC'
assert len(trades['trades']) == 2
assert trades['trades_count'] == 2
# The first closed trade is for ETC ... sorting is descending
assert trades['trades'][-1]['pair'] == 'ETC/BTC'
assert trades['trades'][0]['pair'] == 'XRP/BTC'
def test_rpc_delete_trade(mocker, default_conf, fee, markets, caplog):
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
stoploss_mock = MagicMock()
cancel_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
cancel_order=cancel_mock,
cancel_stoploss_order=stoploss_mock,
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
freqtradebot.strategy.order_types['stoploss_on_exchange'] = True
create_mock_trades(fee)
rpc = RPC(freqtradebot)
with pytest.raises(RPCException, match='invalid argument'):
rpc._rpc_delete('200')
create_mock_trades(fee)
trades = Trade.query.all()
trades[1].stoploss_order_id = '1234'
trades[2].stoploss_order_id = '1234'
assert len(trades) > 2
res = rpc._rpc_delete('1')
assert isinstance(res, dict)
assert res['result'] == 'success'
assert res['trade_id'] == '1'
assert res['cancel_order_count'] == 1
assert cancel_mock.call_count == 1
assert stoploss_mock.call_count == 0
cancel_mock.reset_mock()
stoploss_mock.reset_mock()
res = rpc._rpc_delete('2')
assert isinstance(res, dict)
assert cancel_mock.call_count == 1
assert stoploss_mock.call_count == 1
assert res['cancel_order_count'] == 2
stoploss_mock = mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order',
side_effect=InvalidOrderException)
res = rpc._rpc_delete('3')
assert stoploss_mock.call_count == 1
stoploss_mock.reset_mock()
cancel_mock = mocker.patch('freqtrade.exchange.Exchange.cancel_order',
side_effect=InvalidOrderException)
res = rpc._rpc_delete('4')
assert cancel_mock.call_count == 1
assert stoploss_mock.call_count == 0
def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
@@ -271,8 +370,12 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
rpc = RPC(freqtradebot)
rpc._fiat_converter = CryptoToFiatConverter()
with pytest.raises(RPCException, match=r'.*no closed trade*'):
rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
res = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert res['trade_count'] == 0
assert res['first_trade_date'] == ''
assert res['first_trade_timestamp'] == 0
assert res['latest_trade_date'] == ''
assert res['latest_trade_timestamp'] == 0
# Create some test data
freqtradebot.enter_positions()
@@ -319,7 +422,7 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
# Test non-available pair
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
MagicMock(side_effect=DependencyException("Pair 'ETH/BTC' not available")))
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert stats['trade_count'] == 2
assert stats['first_trade_date'] == 'just now'
@@ -548,7 +651,7 @@ def test_rpc_stopbuy(mocker, default_conf) -> None:
assert freqtradebot.config['max_open_trades'] != 0
result = rpc._rpc_stopbuy()
assert {'status': 'No more buy will occur from now. Run /reload_conf to reset.'} == result
assert {'status': 'No more buy will occur from now. Run /reload_config to reset.'} == result
assert freqtradebot.config['max_open_trades'] == 0
@@ -560,7 +663,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker) -> None:
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
cancel_order=cancel_order_mock,
get_order=MagicMock(
fetch_order=MagicMock(
return_value={
'status': 'closed',
'type': 'limit',
@@ -606,7 +709,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker) -> None:
trade = Trade.query.filter(Trade.id == '1').first()
filled_amount = trade.amount / 2
mocker.patch(
'freqtrade.exchange.Exchange.get_order',
'freqtrade.exchange.Exchange.fetch_order',
return_value={
'status': 'open',
'type': 'limit',
@@ -625,7 +728,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker) -> None:
amount = trade.amount
# make an limit-buy open trade, if there is no 'filled', don't sell it
mocker.patch(
'freqtrade.exchange.Exchange.get_order',
'freqtrade.exchange.Exchange.fetch_order',
return_value={
'status': 'open',
'type': 'limit',
@@ -642,7 +745,7 @@ def test_rpc_forcesell(default_conf, ticker, fee, mocker) -> None:
freqtradebot.enter_positions()
# make an limit-sell open trade
mocker.patch(
'freqtrade.exchange.Exchange.get_order',
'freqtrade.exchange.Exchange.fetch_order',
return_value={
'status': 'open',
'type': 'limit',
@@ -825,6 +928,20 @@ def test_rpc_blacklist(mocker, default_conf) -> None:
assert ret['blacklist'] == default_conf['exchange']['pair_blacklist']
assert ret['blacklist'] == ['DOGE/BTC', 'HOT/BTC', 'ETH/BTC']
ret = rpc._rpc_blacklist(["ETH/BTC"])
assert 'errors' in ret
assert isinstance(ret['errors'], dict)
assert ret['errors']['ETH/BTC']['error_msg'] == 'Pair ETH/BTC already in pairlist.'
ret = rpc._rpc_blacklist(["ETH/ETH"])
assert 'StaticPairList' in ret['method']
assert len(ret['blacklist']) == 3
assert ret['blacklist'] == default_conf['exchange']['pair_blacklist']
assert ret['blacklist'] == ['DOGE/BTC', 'HOT/BTC', 'ETH/BTC']
assert 'errors' in ret
assert isinstance(ret['errors'], dict)
assert ret['errors']['ETH/ETH']['error_msg'] == 'Pair ETH/ETH does not match stake currency.'
def test_rpc_edge_disabled(mocker, default_conf) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())

View File

@@ -24,6 +24,7 @@ def botclient(default_conf, mocker):
default_conf.update({"api_server": {"enabled": True,
"listen_ip_address": "127.0.0.1",
"listen_port": 8080,
"CORS_origins": ['http://example.com'],
"username": _TEST_USER,
"password": _TEST_PASS,
}})
@@ -39,17 +40,28 @@ def client_post(client, url, data={}):
return client.post(url,
content_type="application/json",
data=data,
headers={'Authorization': _basic_auth_str(_TEST_USER, _TEST_PASS)})
headers={'Authorization': _basic_auth_str(_TEST_USER, _TEST_PASS),
'Origin': 'http://example.com'})
def client_get(client, url):
return client.get(url, headers={'Authorization': _basic_auth_str(_TEST_USER, _TEST_PASS)})
# Add fake Origin to ensure CORS kicks in
return client.get(url, headers={'Authorization': _basic_auth_str(_TEST_USER, _TEST_PASS),
'Origin': 'http://example.com'})
def assert_response(response, expected_code=200):
def client_delete(client, url):
# Add fake Origin to ensure CORS kicks in
return client.delete(url, headers={'Authorization': _basic_auth_str(_TEST_USER, _TEST_PASS),
'Origin': 'http://example.com'})
def assert_response(response, expected_code=200, needs_cors=True):
assert response.status_code == expected_code
assert response.content_type == "application/json"
assert ('Access-Control-Allow-Origin', '*') in response.headers._list
if needs_cors:
assert ('Access-Control-Allow-Credentials', 'true') in response.headers._list
assert ('Access-Control-Allow-Origin', 'http://example.com') in response.headers._list
def test_api_not_found(botclient):
@@ -66,12 +78,12 @@ def test_api_not_found(botclient):
def test_api_unauthorized(botclient):
ftbot, client = botclient
rc = client.get(f"{BASE_URI}/ping")
assert_response(rc)
assert_response(rc, needs_cors=False)
assert rc.json == {'status': 'pong'}
# Don't send user/pass information
rc = client.get(f"{BASE_URI}/version")
assert_response(rc, 401)
assert_response(rc, 401, needs_cors=False)
assert rc.json == {'error': 'Unauthorized'}
# Change only username
@@ -105,7 +117,8 @@ def test_api_token_login(botclient):
# test Authentication is working with JWT tokens too
rc = client.get(f"{BASE_URI}/count",
content_type="application/json",
headers={'Authorization': f'Bearer {rc.json["access_token"]}'})
headers={'Authorization': f'Bearer {rc.json["access_token"]}',
'Origin': 'http://example.com'})
assert_response(rc)
@@ -116,7 +129,8 @@ def test_api_token_refresh(botclient):
rc = client.post(f"{BASE_URI}/token/refresh",
content_type="application/json",
data=None,
headers={'Authorization': f'Bearer {rc.json["refresh_token"]}'})
headers={'Authorization': f'Bearer {rc.json["refresh_token"]}',
'Origin': 'http://example.com'})
assert_response(rc)
assert 'access_token' in rc.json
assert 'refresh_token' not in rc.json
@@ -245,10 +259,10 @@ def test_api_cleanup(default_conf, mocker, caplog):
def test_api_reloadconf(botclient):
ftbot, client = botclient
rc = client_post(client, f"{BASE_URI}/reload_conf")
rc = client_post(client, f"{BASE_URI}/reload_config")
assert_response(rc)
assert rc.json == {'status': 'reloading config ...'}
assert ftbot.state == State.RELOAD_CONF
assert ftbot.state == State.RELOAD_CONFIG
def test_api_stopbuy(botclient):
@@ -257,7 +271,7 @@ def test_api_stopbuy(botclient):
rc = client_post(client, f"{BASE_URI}/stopbuy")
assert_response(rc)
assert rc.json == {'status': 'No more buy will occur from now. Run /reload_conf to reset.'}
assert rc.json == {'status': 'No more buy will occur from now. Run /reload_config to reset.'}
assert ftbot.config['max_open_trades'] == 0
@@ -317,8 +331,13 @@ def test_api_show_config(botclient, mocker):
assert 'dry_run' in rc.json
assert rc.json['exchange'] == 'bittrex'
assert rc.json['ticker_interval'] == '5m'
assert rc.json['timeframe'] == '5m'
assert rc.json['timeframe_ms'] == 300000
assert rc.json['timeframe_min'] == 5
assert rc.json['state'] == 'running'
assert not rc.json['trailing_stop']
assert 'bid_strategy' in rc.json
assert 'ask_strategy' in rc.json
def test_api_daily(botclient, mocker, ticker, fee, markets):
@@ -339,7 +358,7 @@ def test_api_daily(botclient, mocker, ticker, fee, markets):
assert rc.json['data'][0]['date'] == str(datetime.utcnow().date())
def test_api_trades(botclient, mocker, ticker, fee, markets):
def test_api_trades(botclient, mocker, fee, markets):
ftbot, client = botclient
patch_get_signal(ftbot, (True, False))
mocker.patch.multiple(
@@ -355,12 +374,53 @@ def test_api_trades(botclient, mocker, ticker, fee, markets):
rc = client_get(client, f"{BASE_URI}/trades")
assert_response(rc)
assert len(rc.json['trades']) == 3
assert rc.json['trades_count'] == 3
rc = client_get(client, f"{BASE_URI}/trades?limit=2")
assert_response(rc)
assert len(rc.json['trades']) == 2
assert rc.json['trades_count'] == 2
rc = client_get(client, f"{BASE_URI}/trades?limit=1")
assert_response(rc)
assert len(rc.json['trades']) == 1
assert rc.json['trades_count'] == 1
def test_api_delete_trade(botclient, mocker, fee, markets):
ftbot, client = botclient
patch_get_signal(ftbot, (True, False))
stoploss_mock = MagicMock()
cancel_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
cancel_order=cancel_mock,
cancel_stoploss_order=stoploss_mock,
)
rc = client_delete(client, f"{BASE_URI}/trades/1")
# Error - trade won't exist yet.
assert_response(rc, 502)
create_mock_trades(fee)
ftbot.strategy.order_types['stoploss_on_exchange'] = True
trades = Trade.query.all()
trades[1].stoploss_order_id = '1234'
assert len(trades) > 2
rc = client_delete(client, f"{BASE_URI}/trades/1")
assert_response(rc)
assert rc.json['result_msg'] == 'Deleted trade 1. Closed 1 open orders.'
assert len(trades) - 1 == len(Trade.query.all())
assert cancel_mock.call_count == 1
cancel_mock.reset_mock()
rc = client_delete(client, f"{BASE_URI}/trades/1")
# Trade is gone now.
assert_response(rc, 502)
assert cancel_mock.call_count == 0
assert len(trades) - 1 == len(Trade.query.all())
rc = client_delete(client, f"{BASE_URI}/trades/2")
assert_response(rc)
assert rc.json['result_msg'] == 'Deleted trade 2. Closed 2 open orders.'
assert len(trades) - 2 == len(Trade.query.all())
assert stoploss_mock.call_count == 1
def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
@@ -390,9 +450,8 @@ def test_api_profit(botclient, mocker, ticker, fee, markets, limit_buy_order, li
)
rc = client_get(client, f"{BASE_URI}/profit")
assert_response(rc, 502)
assert len(rc.json) == 1
assert rc.json == {"error": "Error querying _profit: no closed trade"}
assert_response(rc, 200)
assert rc.json['trade_count'] == 0
ftbot.enter_positions()
trade = Trade.query.first()
@@ -400,8 +459,11 @@ def test_api_profit(botclient, mocker, ticker, fee, markets, limit_buy_order, li
# Simulate fulfilled LIMIT_BUY order for trade
trade.update(limit_buy_order)
rc = client_get(client, f"{BASE_URI}/profit")
assert_response(rc, 502)
assert rc.json == {"error": "Error querying _profit: no closed trade"}
assert_response(rc, 200)
# One open trade
assert rc.json['trade_count'] == 1
assert rc.json['best_pair'] == ''
assert rc.json['best_rate'] == 0
trade.update(limit_sell_order)
@@ -414,14 +476,27 @@ def test_api_profit(botclient, mocker, ticker, fee, markets, limit_buy_order, li
'best_pair': 'ETH/BTC',
'best_rate': 6.2,
'first_trade_date': 'just now',
'first_trade_timestamp': ANY,
'latest_trade_date': 'just now',
'latest_trade_timestamp': ANY,
'profit_all_coin': 6.217e-05,
'profit_all_fiat': 0,
'profit_all_fiat': 0.76748865,
'profit_all_percent': 6.2,
'profit_all_percent_mean': 6.2,
'profit_all_ratio_mean': 0.06201058,
'profit_all_percent_sum': 6.2,
'profit_all_ratio_sum': 0.06201058,
'profit_closed_coin': 6.217e-05,
'profit_closed_fiat': 0,
'profit_closed_fiat': 0.76748865,
'profit_closed_percent': 6.2,
'trade_count': 1
'profit_closed_ratio_mean': 0.06201058,
'profit_closed_percent_mean': 6.2,
'profit_closed_ratio_sum': 0.06201058,
'profit_closed_percent_sum': 6.2,
'trade_count': 1,
'closed_trade_count': 1,
'winning_trades': 1,
'losing_trades': 0,
}
@@ -484,27 +559,49 @@ def test_api_status(botclient, mocker, ticker, fee, markets):
assert rc.json == []
ftbot.enter_positions()
trades = Trade.get_open_trades()
trades[0].open_order_id = None
ftbot.exit_positions(trades)
rc = client_get(client, f"{BASE_URI}/status")
assert_response(rc)
assert len(rc.json) == 1
assert rc.json == [{'amount': 91.07468124,
assert rc.json == [{'amount': 91.07468123,
'amount_requested': 91.07468123,
'base_currency': 'BTC',
'close_date': None,
'close_date_hum': None,
'close_timestamp': None,
'close_profit': None,
'close_profit_pct': None,
'close_profit_abs': None,
'close_rate': None,
'current_profit': -0.41,
'current_profit': -0.00408133,
'current_profit_pct': -0.41,
'current_profit_abs': -4.09e-06,
'current_rate': 1.099e-05,
'initial_stop_loss': 0.0,
'initial_stop_loss_pct': None,
'open_date': ANY,
'open_date_hum': 'just now',
'open_order': '(limit buy rem=0.00000000)',
'open_timestamp': ANY,
'open_order': None,
'open_rate': 1.098e-05,
'pair': 'ETH/BTC',
'stake_amount': 0.001,
'stop_loss': 0.0,
'stop_loss_pct': None,
'stop_loss': 9.882e-06,
'stop_loss_abs': 9.882e-06,
'stop_loss_pct': -10.0,
'stop_loss_ratio': -0.1,
'stoploss_order_id': None,
'stoploss_last_update': ANY,
'stoploss_last_update_timestamp': ANY,
'initial_stop_loss': 9.882e-06,
'initial_stop_loss_abs': 9.882e-06,
'initial_stop_loss_pct': -10.0,
'initial_stop_loss_ratio': -0.1,
'stoploss_current_dist': -1.1080000000000002e-06,
'stoploss_current_dist_ratio': -0.10081893,
'stoploss_entry_dist': -0.00010475,
'stoploss_entry_dist_ratio': -0.10448878,
'trade_id': 1,
'close_rate_requested': None,
'current_rate': 1.099e-05,
@@ -516,15 +613,18 @@ def test_api_status(botclient, mocker, ticker, fee, markets):
'fee_open_currency': None,
'open_date': ANY,
'is_open': True,
'max_rate': 0.0,
'min_rate': None,
'open_order_id': ANY,
'max_rate': 1.099e-05,
'min_rate': 1.098e-05,
'open_order_id': None,
'open_rate_requested': 1.098e-05,
'open_trade_price': 0.0010025,
'sell_reason': None,
'sell_order_status': None,
'strategy': 'DefaultStrategy',
'ticker_interval': 5}]
'ticker_interval': 5,
'timeframe': 5,
'exchange': 'bittrex',
}]
def test_api_version(botclient):
@@ -542,7 +642,9 @@ def test_api_blacklist(botclient, mocker):
assert_response(rc)
assert rc.json == {"blacklist": ["DOGE/BTC", "HOT/BTC"],
"length": 2,
"method": ["StaticPairList"]}
"method": ["StaticPairList"],
"errors": {},
}
# Add ETH/BTC to blacklist
rc = client_post(client, f"{BASE_URI}/blacklist",
@@ -550,7 +652,9 @@ def test_api_blacklist(botclient, mocker):
assert_response(rc)
assert rc.json == {"blacklist": ["DOGE/BTC", "HOT/BTC", "ETH/BTC"],
"length": 3,
"method": ["StaticPairList"]}
"method": ["StaticPairList"],
"errors": {},
}
def test_api_whitelist(botclient):
@@ -585,6 +689,7 @@ def test_api_forcebuy(botclient, mocker, fee):
fbuy_mock = MagicMock(return_value=Trade(
pair='ETH/ETH',
amount=1,
amount_requested=1,
exchange='bittrex',
stake_amount=1,
open_rate=0.245441,
@@ -601,20 +706,31 @@ def test_api_forcebuy(botclient, mocker, fee):
data='{"pair": "ETH/BTC"}')
assert_response(rc)
assert rc.json == {'amount': 1,
'amount_requested': 1,
'trade_id': None,
'close_date': None,
'close_date_hum': None,
'close_timestamp': None,
'close_rate': 0.265441,
'initial_stop_loss': None,
'initial_stop_loss_pct': None,
'open_date': ANY,
'open_date_hum': 'just now',
'open_timestamp': ANY,
'open_rate': 0.245441,
'pair': 'ETH/ETH',
'stake_amount': 1,
'stop_loss': None,
'stop_loss_abs': None,
'stop_loss_pct': None,
'trade_id': None,
'stop_loss_ratio': None,
'stoploss_order_id': None,
'stoploss_last_update': None,
'stoploss_last_update_timestamp': None,
'initial_stop_loss': None,
'initial_stop_loss_abs': None,
'initial_stop_loss_pct': None,
'initial_stop_loss_ratio': None,
'close_profit': None,
'close_profit_abs': None,
'close_rate_requested': None,
'fee_close': 0.0025,
'fee_close_cost': None,
@@ -627,11 +743,13 @@ def test_api_forcebuy(botclient, mocker, fee):
'min_rate': None,
'open_order_id': '123456',
'open_rate_requested': None,
'open_trade_price': 0.2460546025,
'open_trade_price': 0.24605460,
'sell_reason': None,
'sell_order_status': None,
'strategy': None,
'ticker_interval': None
'ticker_interval': None,
'timeframe': None,
'exchange': 'bittrex',
}

View File

@@ -21,8 +21,9 @@ from freqtrade.rpc import RPCMessageType
from freqtrade.rpc.telegram import Telegram, authorized_only
from freqtrade.state import State
from freqtrade.strategy.interface import SellType
from tests.conftest import (get_patched_freqtradebot, log_has, patch_exchange,
patch_get_signal, patch_whitelist)
from tests.conftest import (create_mock_trades, get_patched_freqtradebot,
log_has, patch_exchange, patch_get_signal,
patch_whitelist)
class DummyCls(Telegram):
@@ -60,7 +61,7 @@ def test__init__(default_conf, mocker) -> None:
assert telegram._config == default_conf
def test_init(default_conf, mocker, caplog) -> None:
def test_telegram_init(default_conf, mocker, caplog) -> None:
start_polling = MagicMock()
mocker.patch('freqtrade.rpc.telegram.Updater', MagicMock(return_value=start_polling))
@@ -71,10 +72,11 @@ def test_init(default_conf, mocker, caplog) -> None:
assert start_polling.dispatcher.add_handler.call_count > 0
assert start_polling.start_polling.call_count == 1
message_str = "rpc.telegram is listening for following commands: [['status'], ['profit'], " \
"['balance'], ['start'], ['stop'], ['forcesell'], ['forcebuy'], " \
"['performance'], ['daily'], ['count'], ['reload_conf'], ['show_config'], " \
"['stopbuy'], ['whitelist'], ['blacklist'], ['edge'], ['help'], ['version']]"
message_str = ("rpc.telegram is listening for following commands: [['status'], ['profit'], "
"['balance'], ['start'], ['stop'], ['forcesell'], ['forcebuy'], ['trades'], "
"['delete'], ['performance'], ['daily'], ['count'], ['reload_config', "
"'reload_conf'], ['show_config', 'show_conf'], ['stopbuy'], "
"['whitelist'], ['blacklist'], ['edge'], ['help'], ['version']]")
assert log_has(message_str, caplog)
@@ -166,8 +168,9 @@ def test_status(default_conf, update, mocker, fee, ticker,) -> None:
'current_rate': 1.098e-05,
'amount': 90.99181074,
'stake_amount': 90.99181074,
'close_profit': None,
'current_profit': -0.59,
'close_profit_pct': None,
'current_profit': -0.0059,
'current_profit_pct': -0.59,
'initial_stop_loss': 1.098e-05,
'stop_loss': 1.099e-05,
'sell_order_status': None,
@@ -419,7 +422,7 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
telegram._profit(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert 'no closed trade' in msg_mock.call_args_list[0][0][0]
assert 'No trades yet.' in msg_mock.call_args_list[0][0][0]
msg_mock.reset_mock()
# Create some test data
@@ -431,7 +434,10 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
telegram._profit(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert 'no closed trade' in msg_mock.call_args_list[-1][0][0]
assert 'No closed trade' in msg_mock.call_args_list[-1][0][0]
assert '*ROI:* All trades' in msg_mock.call_args_list[-1][0][0]
assert ('∙ `-0.00000500 BTC (-0.50%) (-0.5 \N{GREEK CAPITAL LETTER SIGMA}%)`'
in msg_mock.call_args_list[-1][0][0])
msg_mock.reset_mock()
# Update the ticker with a market going up
@@ -443,11 +449,13 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
telegram._profit(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert '*ROI:* Close trades' in msg_mock.call_args_list[-1][0][0]
assert '∙ `0.00006217 BTC (6.20%)`' in msg_mock.call_args_list[-1][0][0]
assert '*ROI:* Closed trades' in msg_mock.call_args_list[-1][0][0]
assert ('∙ `0.00006217 BTC (6.20%) (6.2 \N{GREEK CAPITAL LETTER SIGMA}%)`'
in msg_mock.call_args_list[-1][0][0])
assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
assert '*ROI:* All trades' in msg_mock.call_args_list[-1][0][0]
assert '∙ `0.00006217 BTC (6.20%)`' in msg_mock.call_args_list[-1][0][0]
assert ('∙ `0.00006217 BTC (6.20%) (6.2 \N{GREEK CAPITAL LETTER SIGMA}%)`'
in msg_mock.call_args_list[-1][0][0])
assert '∙ `0.933 USD`' in msg_mock.call_args_list[-1][0][0]
assert '*Best Performing:* `ETH/BTC: 6.20%`' in msg_mock.call_args_list[-1][0][0]
@@ -660,11 +668,11 @@ def test_stopbuy_handle(default_conf, update, mocker) -> None:
telegram._stopbuy(update=update, context=MagicMock())
assert freqtradebot.config['max_open_trades'] == 0
assert msg_mock.call_count == 1
assert 'No more buy will occur from now. Run /reload_conf to reset.' \
assert 'No more buy will occur from now. Run /reload_config to reset.' \
in msg_mock.call_args_list[0][0][0]
def test_reload_conf_handle(default_conf, update, mocker) -> None:
def test_reload_config_handle(default_conf, update, mocker) -> None:
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
@@ -677,14 +685,14 @@ def test_reload_conf_handle(default_conf, update, mocker) -> None:
freqtradebot.state = State.RUNNING
assert freqtradebot.state == State.RUNNING
telegram._reload_conf(update=update, context=MagicMock())
assert freqtradebot.state == State.RELOAD_CONF
telegram._reload_config(update=update, context=MagicMock())
assert freqtradebot.state == State.RELOAD_CONFIG
assert msg_mock.call_count == 1
assert 'reloading config' in msg_mock.call_args_list[0][0][0]
def test_forcesell_handle(default_conf, update, ticker, fee,
ticker_sell_up, mocker) -> None:
def test_telegram_forcesell_handle(default_conf, update, ticker, fee,
ticker_sell_up, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock())
@@ -718,11 +726,12 @@ def test_forcesell_handle(default_conf, update, ticker, fee,
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'profit',
'limit': 1.173e-05,
'amount': 91.07468123861567,
'amount': 91.07468123,
'order_type': 'limit',
'open_rate': 1.098e-05,
'current_rate': 1.173e-05,
@@ -736,8 +745,8 @@ def test_forcesell_handle(default_conf, update, ticker, fee,
} == last_msg
def test_forcesell_down_handle(default_conf, update, ticker, fee,
ticker_sell_down, mocker) -> None:
def test_telegram_forcesell_down_handle(default_conf, update, ticker, fee,
ticker_sell_down, mocker) -> None:
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=15000.0)
rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock())
@@ -777,11 +786,12 @@ def test_forcesell_down_handle(default_conf, update, ticker, fee,
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'loss',
'limit': 1.043e-05,
'amount': 91.07468123861567,
'amount': 91.07468123,
'order_type': 'limit',
'open_rate': 1.098e-05,
'current_rate': 1.043e-05,
@@ -825,11 +835,12 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None
msg = rpc_mock.call_args_list[0][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'loss',
'limit': 1.099e-05,
'amount': 91.07468123861567,
'amount': 91.07468123,
'order_type': 'limit',
'open_rate': 1.098e-05,
'current_rate': 1.099e-05,
@@ -1010,9 +1021,8 @@ def test_count_handle(default_conf, update, ticker, fee, mocker) -> None:
msg_mock.reset_mock()
telegram._count(update=update, context=MagicMock())
msg = '<pre> current max total stake\n--------- ----- -------------\n' \
' 1 {} {}</pre>'\
.format(
msg = ('<pre> current max total stake\n--------- ----- -------------\n'
' 1 {} {}</pre>').format(
default_conf['max_open_trades'],
default_conf['stake_amount']
)
@@ -1084,6 +1094,18 @@ def test_blacklist_static(default_conf, update, mocker) -> None:
in msg_mock.call_args_list[0][0][0])
assert freqtradebot.pairlists.blacklist == ["DOGE/BTC", "HOT/BTC", "ETH/BTC"]
msg_mock.reset_mock()
context = MagicMock()
context.args = ["ETH/ETH"]
telegram._blacklist(update=update, context=context)
assert msg_mock.call_count == 2
assert ("Error adding `ETH/ETH` to blacklist: `Pair ETH/ETH does not match stake currency.`"
in msg_mock.call_args_list[0][0][0])
assert ("Blacklist contains 3 pairs\n`DOGE/BTC, HOT/BTC, ETH/BTC`"
in msg_mock.call_args_list[1][0][0])
assert freqtradebot.pairlists.blacklist == ["DOGE/BTC", "HOT/BTC", "ETH/BTC"]
def test_edge_disabled(default_conf, update, mocker) -> None:
msg_mock = MagicMock()
@@ -1125,6 +1147,63 @@ def test_edge_enabled(edge_conf, update, mocker) -> None:
assert 'Pair Winrate Expectancy Stoploss' in msg_mock.call_args_list[0][0][0]
def test_telegram_trades(mocker, update, default_conf, fee):
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_send_msg=msg_mock
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
context = MagicMock()
context.args = []
telegram._trades(update=update, context=context)
assert "<b>0 recent trades</b>:" in msg_mock.call_args_list[0][0][0]
assert "<pre>" not in msg_mock.call_args_list[0][0][0]
msg_mock.reset_mock()
create_mock_trades(fee)
context = MagicMock()
context.args = [5]
telegram._trades(update=update, context=context)
msg_mock.call_count == 1
assert "2 recent trades</b>:" in msg_mock.call_args_list[0][0][0]
assert "Profit (" in msg_mock.call_args_list[0][0][0]
assert "Open Date" in msg_mock.call_args_list[0][0][0]
assert "<pre>" in msg_mock.call_args_list[0][0][0]
def test_telegram_delete_trade(mocker, update, default_conf, fee):
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_send_msg=msg_mock
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
context = MagicMock()
context.args = []
telegram._delete_trade(update=update, context=context)
assert "invalid argument" in msg_mock.call_args_list[0][0][0]
msg_mock.reset_mock()
create_mock_trades(fee)
context = MagicMock()
context.args = [1]
telegram._delete_trade(update=update, context=context)
msg_mock.call_count == 1
assert "Deleted trade 1." in msg_mock.call_args_list[0][0][0]
assert "Please make sure to take care of this asset" in msg_mock.call_args_list[0][0][0]
def test_help_handle(default_conf, update, mocker) -> None:
msg_mock = MagicMock()
mocker.patch.multiple(
@@ -1207,7 +1286,7 @@ def test_send_msg_buy_notification(default_conf, mocker) -> None:
'open_date': arrow.utcnow().shift(hours=-1)
})
assert msg_mock.call_args[0][0] \
== '*Bittrex:* Buying ETH/BTC\n' \
== '\N{LARGE BLUE CIRCLE} *Bittrex:* Buying ETH/BTC\n' \
'*Amount:* `1333.33333333`\n' \
'*Open Rate:* `0.00001099`\n' \
'*Current Rate:* `0.00001099`\n' \
@@ -1229,7 +1308,7 @@ def test_send_msg_buy_cancel_notification(default_conf, mocker) -> None:
'pair': 'ETH/BTC',
})
assert msg_mock.call_args[0][0] \
== ('*Bittrex:* Cancelling Open Buy Order for ETH/BTC')
== ('\N{WARNING SIGN} *Bittrex:* Cancelling Open Buy Order for ETH/BTC')
def test_send_msg_sell_notification(default_conf, mocker) -> None:
@@ -1262,7 +1341,7 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
'close_date': arrow.utcnow(),
})
assert msg_mock.call_args[0][0] \
== ('*Binance:* Selling KEY/ETH\n'
== ('\N{WARNING SIGN} *Binance:* Selling KEY/ETH\n'
'*Amount:* `1333.33333333`\n'
'*Open Rate:* `0.00007500`\n'
'*Current Rate:* `0.00003201`\n'
@@ -1290,7 +1369,7 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
'close_date': arrow.utcnow(),
})
assert msg_mock.call_args[0][0] \
== ('*Binance:* Selling KEY/ETH\n'
== ('\N{WARNING SIGN} *Binance:* Selling KEY/ETH\n'
'*Amount:* `1333.33333333`\n'
'*Open Rate:* `0.00007500`\n'
'*Current Rate:* `0.00003201`\n'
@@ -1320,7 +1399,8 @@ def test_send_msg_sell_cancel_notification(default_conf, mocker) -> None:
'reason': 'Cancelled on exchange'
})
assert msg_mock.call_args[0][0] \
== ('*Binance:* Cancelling Open Sell Order for KEY/ETH. Reason: Cancelled on exchange')
== ('\N{WARNING SIGN} *Binance:* Cancelling Open Sell Order for KEY/ETH. '
'Reason: Cancelled on exchange')
msg_mock.reset_mock()
telegram.send_msg({
@@ -1330,7 +1410,7 @@ def test_send_msg_sell_cancel_notification(default_conf, mocker) -> None:
'reason': 'timeout'
})
assert msg_mock.call_args[0][0] \
== ('*Binance:* Cancelling Open Sell Order for KEY/ETH. Reason: timeout')
== ('\N{WARNING SIGN} *Binance:* Cancelling Open Sell Order for KEY/ETH. Reason: timeout')
# Reset singleton function to avoid random breaks
telegram._fiat_converter.convert_amount = old_convamount
@@ -1364,7 +1444,7 @@ def test_warning_notification(default_conf, mocker) -> None:
'type': RPCMessageType.WARNING_NOTIFICATION,
'status': 'message'
})
assert msg_mock.call_args[0][0] == '*Warning:* `message`'
assert msg_mock.call_args[0][0] == '\N{WARNING SIGN} *Warning:* `message`'
def test_custom_notification(default_conf, mocker) -> None:
@@ -1422,12 +1502,11 @@ def test_send_msg_buy_notification_no_fiat(default_conf, mocker) -> None:
'amount': 1333.3333333333335,
'open_date': arrow.utcnow().shift(hours=-1)
})
assert msg_mock.call_args[0][0] \
== '*Bittrex:* Buying ETH/BTC\n' \
'*Amount:* `1333.33333333`\n' \
'*Open Rate:* `0.00001099`\n' \
'*Current Rate:* `0.00001099`\n' \
'*Total:* `(0.001000 BTC)`'
assert msg_mock.call_args[0][0] == ('\N{LARGE BLUE CIRCLE} *Bittrex:* Buying ETH/BTC\n'
'*Amount:* `1333.33333333`\n'
'*Open Rate:* `0.00001099`\n'
'*Current Rate:* `0.00001099`\n'
'*Total:* `(0.001000 BTC)`')
def test_send_msg_sell_notification_no_fiat(default_conf, mocker) -> None:
@@ -1458,15 +1537,37 @@ def test_send_msg_sell_notification_no_fiat(default_conf, mocker) -> None:
'open_date': arrow.utcnow().shift(hours=-2, minutes=-35, seconds=-3),
'close_date': arrow.utcnow(),
})
assert msg_mock.call_args[0][0] \
== '*Binance:* Selling KEY/ETH\n' \
'*Amount:* `1333.33333333`\n' \
'*Open Rate:* `0.00007500`\n' \
'*Current Rate:* `0.00003201`\n' \
'*Close Rate:* `0.00003201`\n' \
'*Sell Reason:* `stop_loss`\n' \
'*Duration:* `2:35:03 (155.1 min)`\n' \
'*Profit:* `-57.41%`'
assert msg_mock.call_args[0][0] == ('\N{WARNING SIGN} *Binance:* Selling KEY/ETH\n'
'*Amount:* `1333.33333333`\n'
'*Open Rate:* `0.00007500`\n'
'*Current Rate:* `0.00003201`\n'
'*Close Rate:* `0.00003201`\n'
'*Sell Reason:* `stop_loss`\n'
'*Duration:* `2:35:03 (155.1 min)`\n'
'*Profit:* `-57.41%`')
@pytest.mark.parametrize('msg,expected', [
({'profit_percent': 20.1, 'sell_reason': 'roi'}, "\N{ROCKET}"),
({'profit_percent': 5.1, 'sell_reason': 'roi'}, "\N{ROCKET}"),
({'profit_percent': 2.56, 'sell_reason': 'roi'}, "\N{EIGHT SPOKED ASTERISK}"),
({'profit_percent': 1.0, 'sell_reason': 'roi'}, "\N{EIGHT SPOKED ASTERISK}"),
({'profit_percent': 0.0, 'sell_reason': 'roi'}, "\N{EIGHT SPOKED ASTERISK}"),
({'profit_percent': -5.0, 'sell_reason': 'stop_loss'}, "\N{WARNING SIGN}"),
({'profit_percent': -2.0, 'sell_reason': 'sell_signal'}, "\N{CROSS MARK}"),
])
def test__sell_emoji(default_conf, mocker, msg, expected):
del default_conf['fiat_display_currency']
msg_mock = MagicMock()
mocker.patch.multiple(
'freqtrade.rpc.telegram.Telegram',
_init=MagicMock(),
_send_msg=msg_mock
)
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
telegram = Telegram(freqtradebot)
assert telegram._get_sell_emoji(msg) == expected
def test__send_msg(default_conf, mocker) -> None:

View File

@@ -29,7 +29,7 @@ class DefaultStrategy(IStrategy):
stoploss = -0.10
# Optimal ticker interval for the strategy
ticker_interval = '5m'
timeframe = '5m'
# Optional order type mapping
order_types = {

View File

@@ -31,6 +31,7 @@ class TestStrategyLegacy(IStrategy):
stoploss = -0.10
# Optimal ticker interval for the strategy
# Keep the legacy value here to test compatibility
ticker_interval = '5m'
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:

View File

@@ -6,7 +6,7 @@ from .strats.default_strategy import DefaultStrategy
def test_default_strategy_structure():
assert hasattr(DefaultStrategy, 'minimal_roi')
assert hasattr(DefaultStrategy, 'stoploss')
assert hasattr(DefaultStrategy, 'ticker_interval')
assert hasattr(DefaultStrategy, 'timeframe')
assert hasattr(DefaultStrategy, 'populate_indicators')
assert hasattr(DefaultStrategy, 'populate_buy_trend')
assert hasattr(DefaultStrategy, 'populate_sell_trend')
@@ -18,7 +18,7 @@ def test_default_strategy(result):
metadata = {'pair': 'ETH/BTC'}
assert type(strategy.minimal_roi) is dict
assert type(strategy.stoploss) is float
assert type(strategy.ticker_interval) is str
assert type(strategy.timeframe) is str
indicators = strategy.populate_indicators(result, metadata)
assert type(indicators) is DataFrame
assert type(strategy.populate_buy_trend(indicators, metadata)) is DataFrame

View File

@@ -13,12 +13,14 @@ from freqtrade.exceptions import StrategyError
from freqtrade.persistence import Trade
from freqtrade.resolvers import StrategyResolver
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
from tests.conftest import get_patched_exchange, log_has, log_has_re
from freqtrade.data.dataprovider import DataProvider
from tests.conftest import log_has, log_has_re
from .strats.default_strategy import DefaultStrategy
# Avoid to reinit the same object again and again
_STRATEGY = DefaultStrategy(config={})
_STRATEGY.dp = DataProvider({}, None, None)
def test_returns_latest_signal(mocker, default_conf, ohlcv_history):
@@ -29,63 +31,60 @@ def test_returns_latest_signal(mocker, default_conf, ohlcv_history):
mocked_history['buy'] = 0
mocked_history.loc[1, 'sell'] = 1
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=mocked_history
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (False, True)
assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, True)
mocked_history.loc[1, 'sell'] = 0
mocked_history.loc[1, 'buy'] = 1
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=mocked_history
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (True, False)
assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (True, False)
mocked_history.loc[1, 'sell'] = 0
mocked_history.loc[1, 'buy'] = 0
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=mocked_history
)
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (False, False)
assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, False)
def test_get_signal_empty(default_conf, mocker, caplog):
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['ticker_interval'],
DataFrame())
assert log_has('Empty candle (OHLCV) data for pair foo', caplog)
caplog.clear()
assert (False, False) == _STRATEGY.get_signal('bar', default_conf['ticker_interval'],
[])
assert log_has('Empty candle (OHLCV) data for pair bar', caplog)
def test_get_signal_exception_valueerror(default_conf, mocker, caplog, ohlcv_history):
caplog.set_level(logging.INFO)
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
side_effect=ValueError('xyz')
)
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['ticker_interval'],
ohlcv_history)
assert log_has_re(r'Strategy caused the following exception: xyz.*', caplog)
def test_get_signal_empty_dataframe(default_conf, mocker, caplog, ohlcv_history):
caplog.set_level(logging.INFO)
def test_analyze_pair_empty(default_conf, mocker, caplog, ohlcv_history):
mocker.patch.object(_STRATEGY.dp, 'ohlcv', return_value=ohlcv_history)
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=DataFrame([])
)
mocker.patch.object(_STRATEGY, 'assert_df')
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'],
ohlcv_history)
assert log_has('Empty dataframe for pair xyz', caplog)
_STRATEGY.analyze_pair('ETH/BTC')
assert log_has('Empty dataframe for pair ETH/BTC', caplog)
def test_get_signal_empty(default_conf, mocker, caplog):
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['timeframe'], DataFrame())
assert log_has('Empty candle (OHLCV) data for pair foo', caplog)
caplog.clear()
assert (False, False) == _STRATEGY.get_signal('bar', default_conf['timeframe'], None)
assert log_has('Empty candle (OHLCV) data for pair bar', caplog)
caplog.clear()
assert (False, False) == _STRATEGY.get_signal('baz', default_conf['timeframe'], DataFrame([]))
assert log_has('Empty candle (OHLCV) data for pair baz', caplog)
def test_get_signal_exception_valueerror(default_conf, mocker, caplog, ohlcv_history):
caplog.set_level(logging.INFO)
mocker.patch.object(_STRATEGY.dp, 'ohlcv', return_value=ohlcv_history)
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
side_effect=ValueError('xyz')
)
_STRATEGY.analyze_pair('foo')
assert log_has_re(r'Strategy caused the following exception: xyz.*', caplog)
caplog.clear()
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
side_effect=Exception('invalid ticker history ')
)
_STRATEGY.analyze_pair('foo')
assert log_has_re(r'Strategy caused the following exception: xyz.*', caplog)
def test_get_signal_old_candle(default_conf, mocker, caplog, ohlcv_history):
@@ -98,7 +97,7 @@ def test_get_signal_old_candle(default_conf, mocker, caplog, ohlcv_history):
_STRATEGY, '_analyze_ticker_internal',
return_value=DataFrame(ticks)
)
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'],
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'],
ohlcv_history)
assert log_has('Old candle for pair xyz. Last candle is 10 minutes old', caplog)
@@ -114,13 +113,9 @@ def test_get_signal_old_dataframe(default_conf, mocker, caplog, ohlcv_history):
mocked_history.loc[1, 'buy'] = 1
caplog.set_level(logging.INFO)
mocker.patch.object(
_STRATEGY, '_analyze_ticker_internal',
return_value=mocked_history
)
mocker.patch.object(_STRATEGY, 'assert_df')
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'],
ohlcv_history)
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'], mocked_history)
assert log_has('Outdated history for pair xyz. Last tick is 16 minutes old', caplog)
@@ -135,17 +130,18 @@ def test_assert_df_raise(default_conf, mocker, caplog, ohlcv_history):
mocked_history.loc[1, 'buy'] = 1
caplog.set_level(logging.INFO)
mocker.patch.object(_STRATEGY.dp, 'ohlcv', return_value=ohlcv_history)
mocker.patch.object(_STRATEGY.dp, 'get_analyzed_dataframe', return_value=(mocked_history, 0))
mocker.patch.object(
_STRATEGY, 'assert_df',
side_effect=StrategyError('Dataframe returned...')
)
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'],
ohlcv_history)
_STRATEGY.analyze_pair('xyz')
assert log_has('Unable to analyze candle (OHLCV) data for pair xyz: Dataframe returned...',
caplog)
def test_assert_df(default_conf, mocker, ohlcv_history):
def test_assert_df(default_conf, mocker, ohlcv_history, caplog):
# Ensure it's running when passed correctly
_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
ohlcv_history.loc[1, 'close'], ohlcv_history.loc[1, 'date'])
@@ -163,14 +159,13 @@ def test_assert_df(default_conf, mocker, ohlcv_history):
_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
ohlcv_history.loc[1, 'close'], ohlcv_history.loc[0, 'date'])
def test_get_signal_handles_exceptions(mocker, default_conf):
exchange = get_patched_exchange(mocker, default_conf)
mocker.patch.object(
_STRATEGY, 'analyze_ticker',
side_effect=Exception('invalid ticker history ')
)
assert _STRATEGY.get_signal(exchange, 'ETH/BTC', '5m') == (False, False)
_STRATEGY.disable_dataframe_checks = True
caplog.clear()
_STRATEGY.assert_df(ohlcv_history, len(ohlcv_history),
ohlcv_history.loc[1, 'close'], ohlcv_history.loc[0, 'date'])
assert log_has_re(r"Dataframe returned from strategy.*last date\.", caplog)
# reset to avoid problems in other tests due to test leakage
_STRATEGY.disable_dataframe_checks = False
def test_ohlcvdata_to_dataframe(default_conf, testdatadir) -> None:
@@ -349,6 +344,7 @@ def test__analyze_ticker_internal_skip_analyze(ohlcv_history, mocker, caplog) ->
)
strategy = DefaultStrategy({})
strategy.dp = DataProvider({}, None, None)
strategy.process_only_new_candles = True
ret = strategy._analyze_ticker_internal(ohlcv_history, {'pair': 'ETH/BTC'})
@@ -407,6 +403,14 @@ def test_is_pair_locked(default_conf):
assert not strategy.is_pair_locked(pair)
def test_is_informative_pairs_callback(default_conf):
default_conf.update({'strategy': 'TestStrategyLegacy'})
strategy = StrategyResolver.load_strategy(default_conf)
# Should return empty
# Uses fallback to base implementation
assert [] == strategy.informative_pairs()
@pytest.mark.parametrize('error', [
ValueError, KeyError, Exception,
])
@@ -426,6 +430,11 @@ def test_strategy_safe_wrapper_error(caplog, error):
assert isinstance(ret, bool)
assert ret
caplog.clear()
# Test supressing error
ret = strategy_safe_wrapper(failing_method, message='DeadBeef', supress_error=True)()
assert log_has_re(r'DeadBeef.*', caplog)
@pytest.mark.parametrize('value', [
1, 22, 55, True, False, {'a': 1, 'b': '112'},

View File

@@ -105,8 +105,9 @@ def test_strategy(result, default_conf):
assert strategy.stoploss == -0.10
assert default_conf['stoploss'] == -0.10
assert strategy.timeframe == '5m'
assert strategy.ticker_interval == '5m'
assert default_conf['ticker_interval'] == '5m'
assert default_conf['timeframe'] == '5m'
df_indicators = strategy.advise_indicators(result, metadata=metadata)
assert 'adx' in df_indicators
@@ -176,19 +177,19 @@ def test_strategy_override_trailing_stop_positive(caplog, default_conf):
caplog)
def test_strategy_override_ticker_interval(caplog, default_conf):
def test_strategy_override_timeframe(caplog, default_conf):
caplog.set_level(logging.INFO)
default_conf.update({
'strategy': 'DefaultStrategy',
'ticker_interval': 60,
'timeframe': 60,
'stake_currency': 'ETH'
})
strategy = StrategyResolver.load_strategy(default_conf)
assert strategy.ticker_interval == 60
assert strategy.timeframe == 60
assert strategy.stake_currency == 'ETH'
assert log_has("Override strategy 'ticker_interval' with value in config file: 60.",
assert log_has("Override strategy 'timeframe' with value in config file: 60.",
caplog)
@@ -357,8 +358,9 @@ def test_deprecate_populate_indicators(result, default_conf):
@pytest.mark.filterwarnings("ignore:deprecated")
def test_call_deprecated_function(result, monkeypatch, default_conf):
def test_call_deprecated_function(result, monkeypatch, default_conf, caplog):
default_location = Path(__file__).parent / "strats"
del default_conf['timeframe']
default_conf.update({'strategy': 'TestStrategyLegacy',
'strategy_path': default_location})
strategy = StrategyResolver.load_strategy(default_conf)
@@ -369,6 +371,8 @@ def test_call_deprecated_function(result, monkeypatch, default_conf):
assert strategy._buy_fun_len == 2
assert strategy._sell_fun_len == 2
assert strategy.INTERFACE_VERSION == 1
assert strategy.timeframe == '5m'
assert strategy.ticker_interval == '5m'
indicator_df = strategy.advise_indicators(result, metadata=metadata)
assert isinstance(indicator_df, DataFrame)
@@ -382,6 +386,9 @@ def test_call_deprecated_function(result, monkeypatch, default_conf):
assert isinstance(selldf, DataFrame)
assert 'sell' in selldf
assert log_has("DEPRECATED: Please migrate to using 'timeframe' instead of 'ticker_interval'.",
caplog)
def test_strategy_interface_versioning(result, monkeypatch, default_conf):
default_conf.update({'strategy': 'DefaultStrategy'})

View File

@@ -131,7 +131,7 @@ def test_parse_args_backtesting_custom() -> None:
assert call_args["verbosity"] == 0
assert call_args["command"] == 'backtesting'
assert call_args["func"] is not None
assert call_args["ticker_interval"] == '1m'
assert call_args["timeframe"] == '1m'
assert type(call_args["strategy_list"]) is list
assert len(call_args["strategy_list"]) == 2

View File

@@ -87,7 +87,7 @@ def test_load_config_file_error_range(default_conf, mocker, caplog) -> None:
assert isinstance(x, str)
assert (x == '{"max_open_trades": 1, "stake_currency": "BTC", '
'"stake_amount": .001, "fiat_display_currency": "USD", '
'"ticker_interval": "5m", "dry_run": true, ')
'"timeframe": "5m", "dry_run": true, "cance')
def test__args_to_config(caplog):
@@ -401,8 +401,8 @@ def test_setup_configuration_without_arguments(mocker, default_conf, caplog) ->
assert 'datadir' in config
assert 'user_data_dir' in config
assert log_has('Using data directory: {} ...'.format(config['datadir']), caplog)
assert 'ticker_interval' in config
assert not log_has('Parameter -i/--ticker-interval detected ...', caplog)
assert 'timeframe' in config
assert not log_has('Parameter -i/--timeframe detected ...', caplog)
assert 'position_stacking' not in config
assert not log_has('Parameter --enable-position-stacking detected ...', caplog)
@@ -448,8 +448,8 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
assert log_has('Using user-data directory: {} ...'.format(Path("/tmp/freqtrade")), caplog)
assert 'user_data_dir' in config
assert 'ticker_interval' in config
assert log_has('Parameter -i/--ticker-interval detected ... Using ticker_interval: 1m ...',
assert 'timeframe' in config
assert log_has('Parameter -i/--timeframe detected ... Using timeframe: 1m ...',
caplog)
assert 'position_stacking' in config
@@ -494,8 +494,8 @@ def test_setup_configuration_with_stratlist(mocker, default_conf, caplog) -> Non
assert 'pair_whitelist' in config['exchange']
assert 'datadir' in config
assert log_has('Using data directory: {} ...'.format(config['datadir']), caplog)
assert 'ticker_interval' in config
assert log_has('Parameter -i/--ticker-interval detected ... Using ticker_interval: 1m ...',
assert 'timeframe' in config
assert log_has('Parameter -i/--timeframe detected ... Using timeframe: 1m ...',
caplog)
assert 'strategy_list' in config
@@ -654,12 +654,14 @@ def test_set_loggers() -> None:
assert logging.getLogger('requests').level is logging.DEBUG
assert logging.getLogger('ccxt.base.exchange').level is logging.INFO
assert logging.getLogger('telegram').level is logging.INFO
assert logging.getLogger('werkzeug').level is logging.INFO
_set_loggers(verbosity=3)
_set_loggers(verbosity=3, api_verbosity='error')
assert logging.getLogger('requests').level is logging.DEBUG
assert logging.getLogger('ccxt.base.exchange').level is logging.DEBUG
assert logging.getLogger('telegram').level is logging.INFO
assert logging.getLogger('werkzeug').level is logging.ERROR
@pytest.mark.skipif(sys.platform == "win32", reason="does not run on windows")
@@ -869,6 +871,14 @@ def test_load_config_default_exchange_name(all_conf) -> None:
validate_config_schema(all_conf)
def test_load_config_stoploss_exchange_limit_ratio(all_conf) -> None:
all_conf['order_types']['stoploss_on_exchange_limit_ratio'] = 1.15
with pytest.raises(ValidationError,
match=r"1.15 is greater than the maximum"):
validate_config_schema(all_conf)
@pytest.mark.parametrize("keys", [("exchange", "sandbox", False),
("exchange", "key", ""),
("exchange", "secret", ""),
@@ -1048,8 +1058,9 @@ def test_process_deprecated_setting_edge(mocker, edge_conf, caplog):
'capital_available_percentage': 0.5,
}})
process_temporary_deprecated_settings(edge_conf)
assert log_has_re(r"DEPRECATED.*Using 'edge.capital_available_percentage'*", caplog)
with pytest.raises(OperationalException,
match=r"DEPRECATED.*Using 'edge.capital_available_percentage'*"):
process_temporary_deprecated_settings(edge_conf)
def test_check_conflicting_settings(mocker, default_conf, caplog):
@@ -1137,3 +1148,25 @@ def test_process_deprecated_setting(mocker, default_conf, caplog):
'sectionB', 'deprecated_setting')
assert not log_has_re('DEPRECATED', caplog)
assert default_conf['sectionA']['new_setting'] == 'valA'
def test_process_deprecated_ticker_interval(mocker, default_conf, caplog):
message = "DEPRECATED: Please use 'timeframe' instead of 'ticker_interval."
config = deepcopy(default_conf)
process_temporary_deprecated_settings(config)
assert not log_has(message, caplog)
del config['timeframe']
config['ticker_interval'] = '15m'
process_temporary_deprecated_settings(config)
assert log_has(message, caplog)
assert config['ticker_interval'] == '15m'
config = deepcopy(default_conf)
# Have both timeframe and ticker interval in config
# Can also happen when using ticker_interval in configuration, and --timeframe as cli argument
config['timeframe'] = '5m'
config['ticker_interval'] = '4h'
with pytest.raises(OperationalException,
match=r"Both 'timeframe' and 'ticker_interval' detected."):
process_temporary_deprecated_settings(config)

View File

@@ -2,7 +2,8 @@
# Test Documentation boxes -
# !!! <TYPE>: is not allowed!
# !!! <TYPE> "title" - Title needs to be quoted!
grep -Er '^!{3}\s\S+:|^!{3}\s\S+\s[^"]' docs/*
# !!! <TYPE> Spaces at the beginning are not allowed
grep -Er '^!{3}\s\S+:|^!{3}\s\S+\s[^"]|^\s+!{3}\s\S+' docs/*
if [ $? -ne 0 ]; then
echo "Docs test success."

View File

@@ -9,20 +9,22 @@ from unittest.mock import ANY, MagicMock, PropertyMock
import arrow
import pytest
import requests
from freqtrade.constants import MATH_CLOSE_PREC, UNLIMITED_STAKE_AMOUNT, CANCEL_REASON
from freqtrade.exceptions import (DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.constants import (CANCEL_REASON, MATH_CLOSE_PREC,
UNLIMITED_STAKE_AMOUNT)
from freqtrade.exceptions import (DependencyException, ExchangeError,
InvalidOrderException, OperationalException,
PricingError, TemporaryError)
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.persistence import Trade
from freqtrade.rpc import RPCMessageType
from freqtrade.state import RunMode, State
from freqtrade.strategy.interface import SellCheckTuple, SellType
from freqtrade.worker import Worker
from tests.conftest import (get_patched_freqtradebot, get_patched_worker,
log_has, log_has_re, patch_edge, patch_exchange,
patch_get_signal, patch_wallet, patch_whitelist, create_mock_trades)
from tests.conftest import (create_mock_trades, get_patched_freqtradebot,
get_patched_worker, log_has, log_has_re,
patch_edge, patch_exchange, patch_get_signal,
patch_wallet, patch_whitelist)
def patch_RPCManager(mocker) -> MagicMock:
@@ -318,7 +320,7 @@ def test_edge_overrides_stoploss(limit_buy_order, fee, caplog, mocker, edge_conf
# stoploss shoud be hit
assert freqtrade.handle_trade(trade) is True
assert log_has('Executing Sell for NEO/BTC. Reason: SellType.STOP_LOSS', caplog)
assert log_has('Executing Sell for NEO/BTC. Reason: stop_loss', caplog)
assert trade.sell_reason == SellType.STOP_LOSS.value
@@ -593,7 +595,7 @@ def test_create_trade_minimal_amount(default_conf, ticker, limit_buy_order,
freqtrade.create_trade('ETH/BTC')
rate, amount = buy_mock.call_args[1]['rate'], buy_mock.call_args[1]['amount']
assert rate * amount >= default_conf['stake_amount']
assert rate * amount <= default_conf['stake_amount']
def test_create_trade_too_small_stake_amount(default_conf, ticker, limit_buy_order,
@@ -760,7 +762,7 @@ def test_process_trade_creation(default_conf, ticker, limit_buy_order,
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_order=MagicMock(return_value=limit_buy_order),
fetch_order=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf)
@@ -780,7 +782,7 @@ def test_process_trade_creation(default_conf, ticker, limit_buy_order,
assert trade.open_date is not None
assert trade.exchange == 'bittrex'
assert trade.open_rate == 0.00001098
assert trade.amount == 91.07468123861567
assert trade.amount == 91.07468123
assert log_has(
'Buy signal found: about create a new trade with stake_amount: 0.001 ...', caplog
@@ -829,7 +831,7 @@ def test_process_trade_handling(default_conf, ticker, limit_buy_order, fee, mock
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_order=MagicMock(return_value=limit_buy_order),
fetch_order=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf)
@@ -856,7 +858,7 @@ def test_process_trade_no_whitelist_pair(default_conf, ticker, limit_buy_order,
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_order=MagicMock(return_value=limit_buy_order),
fetch_order=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
freqtrade = FreqtradeBot(default_conf)
@@ -909,6 +911,7 @@ def test_process_informative_pairs_added(default_conf, ticker, mocker) -> None:
refresh_latest_ohlcv=refresh_mock,
)
inf_pairs = MagicMock(return_value=[("BTC/ETH", '1m'), ("ETH/USDT", "1h")])
mocker.patch('freqtrade.strategy.interface.IStrategy.get_signal', return_value=(False, False))
mocker.patch('time.sleep', return_value=None)
freqtrade = FreqtradeBot(default_conf)
@@ -921,7 +924,7 @@ def test_process_informative_pairs_added(default_conf, ticker, mocker) -> None:
assert refresh_mock.call_count == 1
assert ("BTC/ETH", "1m") in refresh_mock.call_args[0][0]
assert ("ETH/USDT", "1h") in refresh_mock.call_args[0][0]
assert ("ETH/BTC", default_conf["ticker_interval"]) in refresh_mock.call_args[0][0]
assert ("ETH/BTC", default_conf["timeframe"]) in refresh_mock.call_args[0][0]
@pytest.mark.parametrize("side,ask,bid,last,last_ab,expected", [
@@ -950,6 +953,7 @@ def test_process_informative_pairs_added(default_conf, ticker, mocker) -> None:
])
def test_get_buy_rate(mocker, default_conf, caplog, side, ask, bid,
last, last_ab, expected) -> None:
caplog.set_level(logging.DEBUG)
default_conf['bid_strategy']['ask_last_balance'] = last_ab
default_conf['bid_strategy']['price_side'] = side
freqtrade = get_patched_freqtradebot(mocker, default_conf)
@@ -971,6 +975,7 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
patch_RPCManager(mocker)
patch_exchange(mocker)
freqtrade = FreqtradeBot(default_conf)
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=False)
stake_amount = 2
bid = 0.11
buy_rate_mock = MagicMock(return_value=bid)
@@ -992,13 +997,21 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
)
pair = 'ETH/BTC'
assert not freqtrade.execute_buy(pair, stake_amount)
assert buy_rate_mock.call_count == 1
assert buy_mm.call_count == 0
assert freqtrade.strategy.confirm_trade_entry.call_count == 1
buy_rate_mock.reset_mock()
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=True)
assert freqtrade.execute_buy(pair, stake_amount)
assert buy_rate_mock.call_count == 1
assert buy_mm.call_count == 1
call_args = buy_mm.call_args_list[0][1]
assert call_args['pair'] == pair
assert call_args['rate'] == bid
assert call_args['amount'] == stake_amount / bid
assert call_args['amount'] == round(stake_amount / bid, 8)
buy_rate_mock.reset_mock()
# Should create an open trade with an open order id
# As the order is not fulfilled yet
@@ -1011,13 +1024,13 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
fix_price = 0.06
assert freqtrade.execute_buy(pair, stake_amount, fix_price)
# Make sure get_buy_rate wasn't called again
assert buy_rate_mock.call_count == 1
assert buy_rate_mock.call_count == 0
assert buy_mm.call_count == 2
call_args = buy_mm.call_args_list[1][1]
assert call_args['pair'] == pair
assert call_args['rate'] == fix_price
assert call_args['amount'] == stake_amount / fix_price
assert call_args['amount'] == round(stake_amount / fix_price, 8)
# In case of closed order
limit_buy_order['status'] = 'closed'
@@ -1057,11 +1070,44 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
assert not freqtrade.execute_buy(pair, stake_amount)
def test_execute_buy_confirm_error(mocker, default_conf, fee, limit_buy_order) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch.multiple(
'freqtrade.freqtradebot.FreqtradeBot',
get_buy_rate=MagicMock(return_value=0.11),
_get_min_pair_stake_amount=MagicMock(return_value=1)
)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=MagicMock(return_value={
'bid': 0.00001172,
'ask': 0.00001173,
'last': 0.00001172
}),
buy=MagicMock(return_value=limit_buy_order),
get_fee=fee,
)
stake_amount = 2
pair = 'ETH/BTC'
freqtrade.strategy.confirm_trade_entry = MagicMock(side_effect=ValueError)
assert freqtrade.execute_buy(pair, stake_amount)
freqtrade.strategy.confirm_trade_entry = MagicMock(side_effect=Exception)
assert freqtrade.execute_buy(pair, stake_amount)
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=True)
assert freqtrade.execute_buy(pair, stake_amount)
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=False)
assert not freqtrade.execute_buy(pair, stake_amount)
def test_add_stoploss_on_exchange(mocker, default_conf, limit_buy_order) -> None:
patch_RPCManager(mocker)
patch_exchange(mocker)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_trade', MagicMock(return_value=True))
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=[])
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_real_amount',
return_value=limit_buy_order['amount'])
@@ -1123,7 +1169,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
trade.stoploss_order_id = 100
hanging_stoploss_order = MagicMock(return_value={'status': 'open'})
mocker.patch('freqtrade.exchange.Exchange.get_order', hanging_stoploss_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', hanging_stoploss_order)
assert freqtrade.handle_stoploss_on_exchange(trade) is False
assert trade.stoploss_order_id == 100
@@ -1136,7 +1182,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
trade.stoploss_order_id = 100
canceled_stoploss_order = MagicMock(return_value={'status': 'canceled'})
mocker.patch('freqtrade.exchange.Exchange.get_order', canceled_stoploss_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', canceled_stoploss_order)
stoploss.reset_mock()
assert freqtrade.handle_stoploss_on_exchange(trade) is False
@@ -1161,7 +1207,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
'average': 2,
'amount': limit_buy_order['amount'],
})
mocker.patch('freqtrade.exchange.Exchange.get_order', stoploss_order_hit)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hit)
assert freqtrade.handle_stoploss_on_exchange(trade) is True
assert log_has('STOP_LOSS_LIMIT is hit for {}.'.format(trade), caplog)
assert trade.stoploss_order_id is None
@@ -1169,18 +1215,19 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
mocker.patch(
'freqtrade.exchange.Exchange.stoploss',
side_effect=DependencyException()
side_effect=ExchangeError()
)
trade.is_open = True
freqtrade.handle_stoploss_on_exchange(trade)
assert log_has('Unable to place a stoploss order on exchange.', caplog)
assert trade.stoploss_order_id is None
# Fifth case: get_order returns InvalidOrder
# Fifth case: fetch_order returns InvalidOrder
# It should try to add stoploss order
trade.stoploss_order_id = 100
stoploss.reset_mock()
mocker.patch('freqtrade.exchange.Exchange.get_order', side_effect=InvalidOrderException())
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order',
side_effect=InvalidOrderException())
mocker.patch('freqtrade.exchange.Exchange.stoploss', stoploss)
freqtrade.handle_stoploss_on_exchange(trade)
assert stoploss.call_count == 1
@@ -1190,7 +1237,7 @@ def test_handle_stoploss_on_exchange(mocker, default_conf, fee, caplog,
trade.stoploss_order_id = None
trade.is_open = False
stoploss.reset_mock()
mocker.patch('freqtrade.exchange.Exchange.get_order')
mocker.patch('freqtrade.exchange.Exchange.fetch_order')
mocker.patch('freqtrade.exchange.Exchange.stoploss', stoploss)
assert freqtrade.handle_stoploss_on_exchange(trade) is False
assert stoploss.call_count == 0
@@ -1211,8 +1258,8 @@ def test_handle_sle_cancel_cant_recreate(mocker, default_conf, fee, caplog,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
sell=MagicMock(return_value={'id': limit_sell_order['id']}),
get_fee=fee,
get_order=MagicMock(return_value={'status': 'canceled'}),
stoploss=MagicMock(side_effect=DependencyException()),
fetch_stoploss_order=MagicMock(return_value={'status': 'canceled'}),
stoploss=MagicMock(side_effect=ExchangeError()),
)
freqtrade = FreqtradeBot(default_conf)
patch_get_signal(freqtrade)
@@ -1245,7 +1292,7 @@ def test_create_stoploss_order_invalid_order(mocker, default_conf, caplog, fee,
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
sell=sell_mock,
get_fee=fee,
get_order=MagicMock(return_value={'status': 'canceled'}),
fetch_order=MagicMock(return_value={'status': 'canceled'}),
stoploss=MagicMock(side_effect=InvalidOrderException()),
)
freqtrade = FreqtradeBot(default_conf)
@@ -1255,7 +1302,7 @@ def test_create_stoploss_order_invalid_order(mocker, default_conf, caplog, fee,
freqtrade.enter_positions()
trade = Trade.query.first()
caplog.clear()
freqtrade.create_stoploss_order(trade, 200, 199)
freqtrade.create_stoploss_order(trade, 200)
assert trade.stoploss_order_id is None
assert trade.sell_reason == SellType.EMERGENCY_SELL.value
assert log_has("Unable to place a stoploss order on exchange. ", caplog)
@@ -1328,7 +1375,7 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
}
})
mocker.patch('freqtrade.exchange.Exchange.get_order', stoploss_order_hanging)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hanging)
# stoploss initially at 5%
assert freqtrade.handle_trade(trade) is False
@@ -1343,7 +1390,7 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
cancel_order_mock = MagicMock()
stoploss_order_mock = MagicMock()
mocker.patch('freqtrade.exchange.Exchange.cancel_order', cancel_order_mock)
mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order', cancel_order_mock)
mocker.patch('freqtrade.exchange.Exchange.stoploss', stoploss_order_mock)
# stoploss should not be updated as the interval is 60 seconds
@@ -1361,7 +1408,7 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
assert freqtrade.handle_stoploss_on_exchange(trade) is False
cancel_order_mock.assert_called_once_with(100, 'ETH/BTC')
stoploss_order_mock.assert_called_once_with(amount=85.32423208191126,
stoploss_order_mock.assert_called_once_with(amount=85.32423208,
pair='ETH/BTC',
order_types=freqtrade.strategy.order_types,
stop_price=0.00002346 * 0.95)
@@ -1426,8 +1473,9 @@ def test_handle_stoploss_on_exchange_trailing_error(mocker, default_conf, fee, c
'stopPrice': '0.1'
}
}
mocker.patch('freqtrade.exchange.Exchange.cancel_order', side_effect=InvalidOrderException())
mocker.patch('freqtrade.exchange.Exchange.get_order', stoploss_order_hanging)
mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order',
side_effect=InvalidOrderException())
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hanging)
freqtrade.handle_trailing_stoploss_on_exchange(trade, stoploss_order_hanging)
assert log_has_re(r"Could not cancel stoploss order abcd for pair ETH/BTC.*", caplog)
@@ -1436,8 +1484,8 @@ def test_handle_stoploss_on_exchange_trailing_error(mocker, default_conf, fee, c
# Fail creating stoploss order
caplog.clear()
cancel_mock = mocker.patch("freqtrade.exchange.Exchange.cancel_order", MagicMock())
mocker.patch("freqtrade.exchange.Exchange.stoploss", side_effect=DependencyException())
cancel_mock = mocker.patch("freqtrade.exchange.Exchange.cancel_stoploss_order", MagicMock())
mocker.patch("freqtrade.exchange.Exchange.stoploss", side_effect=ExchangeError())
freqtrade.handle_trailing_stoploss_on_exchange(trade, stoploss_order_hanging)
assert cancel_mock.call_count == 1
assert log_has_re(r"Could not create trailing stoploss order for pair ETH/BTC\..*", caplog)
@@ -1507,7 +1555,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
}
})
mocker.patch('freqtrade.exchange.Exchange.get_order', stoploss_order_hanging)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_order_hanging)
# stoploss initially at 20% as edge dictated it.
assert freqtrade.handle_trade(trade) is False
@@ -1516,7 +1564,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
cancel_order_mock = MagicMock()
stoploss_order_mock = MagicMock()
mocker.patch('freqtrade.exchange.Exchange.cancel_order', cancel_order_mock)
mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order', cancel_order_mock)
mocker.patch('freqtrade.exchange.Binance.stoploss', stoploss_order_mock)
# price goes down 5%
@@ -1548,7 +1596,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
# stoploss should be set to 1% as trailing is on
assert trade.stop_loss == 0.00002346 * 0.99
cancel_order_mock.assert_called_once_with(100, 'NEO/BTC')
stoploss_order_mock.assert_called_once_with(amount=2132892.491467577,
stoploss_order_mock.assert_called_once_with(amount=2132892.49146757,
pair='NEO/BTC',
order_types=freqtrade.strategy.order_types,
stop_price=0.00002346 * 0.99)
@@ -1584,7 +1632,7 @@ def test_exit_positions(mocker, default_conf, limit_buy_order, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_trade', MagicMock(return_value=True))
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=[])
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_real_amount',
return_value=limit_buy_order['amount'])
@@ -1608,11 +1656,12 @@ def test_exit_positions(mocker, default_conf, limit_buy_order, caplog) -> None:
def test_exit_positions_exception(mocker, default_conf, limit_buy_order, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
trade = MagicMock()
trade.open_order_id = None
trade.open_fee = 0.001
trade.pair = 'ETH/BTC'
trades = [trade]
# Test raise of DependencyException exception
@@ -1622,14 +1671,14 @@ def test_exit_positions_exception(mocker, default_conf, limit_buy_order, caplog)
)
n = freqtrade.exit_positions(trades)
assert n == 0
assert log_has('Unable to sell trade: ', caplog)
assert log_has('Unable to sell trade ETH/BTC: ', caplog)
def test_update_trade_state(mocker, default_conf, limit_buy_order, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_trade', MagicMock(return_value=True))
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=[])
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_real_amount',
return_value=limit_buy_order['amount'])
@@ -1668,8 +1717,8 @@ def test_update_trade_state(mocker, default_conf, limit_buy_order, caplog) -> No
def test_update_trade_state_withorderdict(default_conf, trades_for_order, limit_buy_order, fee,
mocker):
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=trades_for_order)
# get_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.get_order', MagicMock(side_effect=ValueError))
# fetch_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.fetch_order', MagicMock(side_effect=ValueError))
patch_exchange(mocker)
Trade.session = MagicMock()
amount = sum(x['amount'] for x in trades_for_order)
@@ -1679,6 +1728,7 @@ def test_update_trade_state_withorderdict(default_conf, trades_for_order, limit_
amount=amount,
exchange='binance',
open_rate=0.245441,
open_date=arrow.utcnow().datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_order_id="123456",
@@ -1693,8 +1743,8 @@ def test_update_trade_state_withorderdict_rounding_fee(default_conf, trades_for_
limit_buy_order, mocker, caplog):
trades_for_order[0]['amount'] = limit_buy_order['amount'] + 1e-14
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=trades_for_order)
# get_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.get_order', MagicMock(side_effect=ValueError))
# fetch_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.fetch_order', MagicMock(side_effect=ValueError))
patch_exchange(mocker)
Trade.session = MagicMock()
amount = sum(x['amount'] for x in trades_for_order)
@@ -1719,7 +1769,7 @@ def test_update_trade_state_withorderdict_rounding_fee(default_conf, trades_for_
def test_update_trade_state_exception(mocker, default_conf,
limit_buy_order, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.get_order', return_value=limit_buy_order)
mocker.patch('freqtrade.exchange.Exchange.fetch_order', return_value=limit_buy_order)
trade = MagicMock()
trade.open_order_id = '123'
@@ -1736,7 +1786,7 @@ def test_update_trade_state_exception(mocker, default_conf,
def test_update_trade_state_orderexception(mocker, default_conf, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.get_order',
mocker.patch('freqtrade.exchange.Exchange.fetch_order',
MagicMock(side_effect=InvalidOrderException))
trade = MagicMock()
@@ -1752,8 +1802,8 @@ def test_update_trade_state_orderexception(mocker, default_conf, caplog) -> None
def test_update_trade_state_sell(default_conf, trades_for_order, limit_sell_order, mocker):
mocker.patch('freqtrade.exchange.Exchange.get_trades_for_order', return_value=trades_for_order)
# get_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.get_order', MagicMock(side_effect=ValueError))
# fetch_order should not be called!!
mocker.patch('freqtrade.exchange.Exchange.fetch_order', MagicMock(side_effect=ValueError))
wallet_mock = MagicMock()
mocker.patch('freqtrade.wallets.Wallets.update', wallet_mock)
@@ -1769,6 +1819,7 @@ def test_update_trade_state_sell(default_conf, trades_for_order, limit_sell_orde
open_rate=0.245441,
fee_open=0.0025,
fee_close=0.0025,
open_date=arrow.utcnow().datetime,
open_order_id="123456",
is_open=True,
)
@@ -1958,17 +2009,34 @@ def test_close_trade(default_conf, ticker, limit_buy_order, limit_sell_order,
freqtrade.handle_trade(trade)
def test_bot_loop_start_called_once(mocker, default_conf, caplog):
ftbot = get_patched_freqtradebot(mocker, default_conf)
patch_get_signal(ftbot)
ftbot.strategy.bot_loop_start = MagicMock(side_effect=ValueError)
ftbot.strategy.analyze = MagicMock()
ftbot.process()
assert log_has_re(r'Strategy caused the following exception.*', caplog)
assert ftbot.strategy.bot_loop_start.call_count == 1
assert ftbot.strategy.analyze.call_count == 1
def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_order_old, open_trade,
fee, mocker) -> None:
default_conf["unfilledtimeout"] = {"buy": 1400, "sell": 30}
rpc_mock = patch_RPCManager(mocker)
cancel_order_mock = MagicMock(return_value=limit_buy_order_old)
cancel_buy_order = deepcopy(limit_buy_order_old)
cancel_buy_order['status'] = 'canceled'
cancel_order_wr_mock = MagicMock(return_value=cancel_buy_order)
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old),
fetch_order=MagicMock(return_value=limit_buy_order_old),
cancel_order_with_result=cancel_order_wr_mock,
cancel_order=cancel_order_mock,
get_fee=fee
)
@@ -2001,7 +2069,7 @@ def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_or
freqtrade.strategy.check_buy_timeout = MagicMock(return_value=True)
# Trade should be closed since the function returns true
freqtrade.check_handle_timedout()
assert cancel_order_mock.call_count == 1
assert cancel_order_wr_mock.call_count == 1
assert rpc_mock.call_count == 1
trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all()
nb_trades = len(trades)
@@ -2012,12 +2080,14 @@ def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_or
def test_check_handle_timedout_buy(default_conf, ticker, limit_buy_order_old, open_trade,
fee, mocker) -> None:
rpc_mock = patch_RPCManager(mocker)
cancel_order_mock = MagicMock(return_value=limit_buy_order_old)
limit_buy_cancel = deepcopy(limit_buy_order_old)
limit_buy_cancel['status'] = 'canceled'
cancel_order_mock = MagicMock(return_value=limit_buy_cancel)
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old),
fetch_order=MagicMock(return_value=limit_buy_order_old),
cancel_order_with_result=cancel_order_mock,
get_fee=fee
)
@@ -2047,7 +2117,7 @@ def test_check_handle_cancelled_buy(default_conf, ticker, limit_buy_order_old, o
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old),
fetch_order=MagicMock(return_value=limit_buy_order_old),
cancel_order=cancel_order_mock,
get_fee=fee
)
@@ -2074,7 +2144,7 @@ def test_check_handle_timedout_buy_exception(default_conf, ticker, limit_buy_ord
'freqtrade.exchange.Exchange',
validate_pairs=MagicMock(),
fetch_ticker=ticker,
get_order=MagicMock(side_effect=DependencyException),
fetch_order=MagicMock(side_effect=ExchangeError),
cancel_order=cancel_order_mock,
get_fee=fee
)
@@ -2100,7 +2170,7 @@ def test_check_handle_timedout_sell_usercustom(default_conf, ticker, limit_sell_
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_sell_order_old),
fetch_order=MagicMock(return_value=limit_sell_order_old),
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@@ -2147,7 +2217,7 @@ def test_check_handle_timedout_sell(default_conf, ticker, limit_sell_order_old,
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_sell_order_old),
fetch_order=MagicMock(return_value=limit_sell_order_old),
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@@ -2178,7 +2248,7 @@ def test_check_handle_cancelled_sell(default_conf, ticker, limit_sell_order_old,
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_sell_order_old),
fetch_order=MagicMock(return_value=limit_sell_order_old),
cancel_order_with_result=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@@ -2200,12 +2270,15 @@ def test_check_handle_cancelled_sell(default_conf, ticker, limit_sell_order_old,
def test_check_handle_timedout_partial(default_conf, ticker, limit_buy_order_old_partial,
open_trade, mocker) -> None:
rpc_mock = patch_RPCManager(mocker)
cancel_order_mock = MagicMock(return_value=limit_buy_order_old_partial)
limit_buy_canceled = deepcopy(limit_buy_order_old_partial)
limit_buy_canceled['status'] = 'canceled'
cancel_order_mock = MagicMock(return_value=limit_buy_canceled)
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old_partial),
fetch_order=MagicMock(return_value=limit_buy_order_old_partial),
cancel_order_with_result=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@@ -2233,7 +2306,7 @@ def test_check_handle_timedout_partial_fee(default_conf, ticker, open_trade, cap
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old_partial),
fetch_order=MagicMock(return_value=limit_buy_order_old_partial),
cancel_order_with_result=cancel_order_mock,
get_trades_for_order=MagicMock(return_value=trades_for_order),
)
@@ -2271,7 +2344,7 @@ def test_check_handle_timedout_partial_except(default_conf, ticker, open_trade,
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(return_value=limit_buy_order_old_partial),
fetch_order=MagicMock(return_value=limit_buy_order_old_partial),
cancel_order_with_result=cancel_order_mock,
get_trades_for_order=MagicMock(return_value=trades_for_order),
)
@@ -2315,7 +2388,7 @@ def test_check_handle_timedout_exception(default_conf, ticker, open_trade, mocke
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
get_order=MagicMock(side_effect=requests.exceptions.RequestException('Oh snap')),
fetch_order=MagicMock(side_effect=ExchangeError('Oh snap')),
cancel_order=cancel_order_mock
)
freqtrade = FreqtradeBot(default_conf)
@@ -2333,7 +2406,11 @@ def test_check_handle_timedout_exception(default_conf, ticker, open_trade, mocke
def test_handle_cancel_buy(mocker, caplog, default_conf, limit_buy_order) -> None:
patch_RPCManager(mocker)
patch_exchange(mocker)
cancel_order_mock = MagicMock(return_value=limit_buy_order)
cancel_buy_order = deepcopy(limit_buy_order)
cancel_buy_order['status'] = 'canceled'
del cancel_buy_order['filled']
cancel_order_mock = MagicMock(return_value=cancel_buy_order)
mocker.patch('freqtrade.exchange.Exchange.cancel_order_with_result', cancel_order_mock)
freqtrade = FreqtradeBot(default_conf)
@@ -2353,9 +2430,12 @@ def test_handle_cancel_buy(mocker, caplog, default_conf, limit_buy_order) -> Non
assert not freqtrade.handle_cancel_buy(trade, limit_buy_order, reason)
assert cancel_order_mock.call_count == 1
limit_buy_order['filled'] = 2
mocker.patch('freqtrade.exchange.Exchange.cancel_order', side_effect=InvalidOrderException)
# Order remained open for some reason (cancel failed)
cancel_buy_order['status'] = 'open'
cancel_order_mock = MagicMock(return_value=cancel_buy_order)
mocker.patch('freqtrade.exchange.Exchange.cancel_order_with_result', cancel_order_mock)
assert not freqtrade.handle_cancel_buy(trade, limit_buy_order, reason)
assert log_has_re(r"Order .* for .* not cancelled.", caplog)
@pytest.mark.parametrize("limit_buy_order_canceled_empty", ['binance', 'ftx', 'kraken', 'bittrex'],
@@ -2484,30 +2564,42 @@ def test_execute_sell_up(default_conf, ticker, fee, ticker_sell_up, mocker) -> N
patch_whitelist(mocker, default_conf)
freqtrade = FreqtradeBot(default_conf)
patch_get_signal(freqtrade)
freqtrade.strategy.confirm_trade_exit = MagicMock(return_value=False)
# Create some test data
freqtrade.enter_positions()
rpc_mock.reset_mock()
trade = Trade.query.first()
assert trade
assert freqtrade.strategy.confirm_trade_exit.call_count == 0
# Increase the price and sell it
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker_sell_up
)
# Prevented sell ...
freqtrade.execute_sell(trade=trade, limit=ticker_sell_up()['bid'], sell_reason=SellType.ROI)
assert rpc_mock.call_count == 0
assert freqtrade.strategy.confirm_trade_exit.call_count == 1
# Repatch with true
freqtrade.strategy.confirm_trade_exit = MagicMock(return_value=True)
freqtrade.execute_sell(trade=trade, limit=ticker_sell_up()['bid'], sell_reason=SellType.ROI)
assert freqtrade.strategy.confirm_trade_exit.call_count == 1
assert rpc_mock.call_count == 2
assert rpc_mock.call_count == 1
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'trade_id': 1,
'type': RPCMessageType.SELL_NOTIFICATION,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'profit',
'limit': 1.172e-05,
'amount': 91.07468123861567,
'amount': 91.07468123,
'order_type': 'limit',
'open_rate': 1.098e-05,
'current_rate': 1.173e-05,
@@ -2552,11 +2644,12 @@ def test_execute_sell_down(default_conf, ticker, fee, ticker_sell_down, mocker)
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'loss',
'limit': 1.044e-05,
'amount': 91.07468123861567,
'amount': 91.07468123,
'order_type': 'limit',
'open_rate': 1.098e-05,
'current_rate': 1.043e-05,
@@ -2608,11 +2701,12 @@ def test_execute_sell_down_stoploss_on_exchange_dry_run(default_conf, ticker, fe
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'loss',
'limit': 1.08801e-05,
'amount': 91.07468123861567,
'amount': 91.07468123,
'order_type': 'limit',
'open_rate': 1.098e-05,
'current_rate': 1.043e-05,
@@ -2629,7 +2723,8 @@ def test_execute_sell_down_stoploss_on_exchange_dry_run(default_conf, ticker, fe
def test_execute_sell_sloe_cancel_exception(mocker, default_conf, ticker, fee, caplog) -> None:
freqtrade = get_patched_freqtradebot(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.cancel_order', side_effect=InvalidOrderException())
mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order',
side_effect=InvalidOrderException())
mocker.patch('freqtrade.wallets.Wallets.get_free', MagicMock(return_value=300))
sellmock = MagicMock()
patch_exchange(mocker)
@@ -2677,7 +2772,7 @@ def test_execute_sell_with_stoploss_on_exchange(default_conf, ticker, fee, ticke
amount_to_precision=lambda s, x, y: y,
price_to_precision=lambda s, x, y: y,
stoploss=stoploss,
cancel_order=cancel_order,
cancel_stoploss_order=cancel_order,
)
freqtrade = FreqtradeBot(default_conf)
@@ -2768,7 +2863,7 @@ def test_may_execute_sell_after_stoploss_on_exchange_hit(default_conf, ticker, f
"fee": None,
"trades": None
})
mocker.patch('freqtrade.exchange.Exchange.get_order', stoploss_executed)
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', stoploss_executed)
freqtrade.exit_positions(trades)
assert trade.stoploss_order_id is None
@@ -2812,11 +2907,12 @@ def test_execute_sell_market_order(default_conf, ticker, fee,
last_msg = rpc_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'trade_id': 1,
'exchange': 'Bittrex',
'pair': 'ETH/BTC',
'gain': 'profit',
'limit': 1.172e-05,
'amount': 91.07468123861567,
'amount': 91.07468123,
'order_type': 'market',
'open_rate': 1.098e-05,
'current_rate': 1.173e-05,
@@ -3695,7 +3791,7 @@ def test_order_book_depth_of_market(default_conf, ticker, limit_buy_order, fee,
default_conf['bid_strategy']['check_depth_of_market']['bids_to_ask_delta'] = 0.1
patch_RPCManager(mocker)
patch_exchange(mocker)
mocker.patch('freqtrade.exchange.Exchange.get_order_book', order_book_l2)
mocker.patch('freqtrade.exchange.Exchange.fetch_l2_order_book', order_book_l2)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
@@ -3732,7 +3828,7 @@ def test_order_book_depth_of_market_high_delta(default_conf, ticker, limit_buy_o
default_conf['bid_strategy']['check_depth_of_market']['bids_to_ask_delta'] = 100
patch_RPCManager(mocker)
patch_exchange(mocker)
mocker.patch('freqtrade.exchange.Exchange.get_order_book', order_book_l2)
mocker.patch('freqtrade.exchange.Exchange.fetch_l2_order_book', order_book_l2)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
@@ -3757,7 +3853,7 @@ def test_order_book_bid_strategy1(mocker, default_conf, order_book_l2) -> None:
ticker_mock = MagicMock(return_value={'ask': 0.045, 'last': 0.046})
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
get_order_book=order_book_l2,
fetch_l2_order_book=order_book_l2,
fetch_ticker=ticker_mock,
)
@@ -3772,29 +3868,26 @@ def test_order_book_bid_strategy1(mocker, default_conf, order_book_l2) -> None:
assert ticker_mock.call_count == 0
def test_order_book_bid_strategy2(mocker, default_conf, order_book_l2) -> None:
"""
test if function get_buy_rate will return the ask rate (since its value is lower)
instead of the order book rate (even if enabled)
"""
def test_order_book_bid_strategy_exception(mocker, default_conf, caplog) -> None:
patch_exchange(mocker)
ticker_mock = MagicMock(return_value={'ask': 0.042, 'last': 0.046})
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
get_order_book=order_book_l2,
fetch_l2_order_book=MagicMock(return_value={'bids': [[]], 'asks': [[]]}),
fetch_ticker=ticker_mock,
)
default_conf['exchange']['name'] = 'binance'
default_conf['bid_strategy']['use_order_book'] = True
default_conf['bid_strategy']['order_book_top'] = 2
default_conf['bid_strategy']['order_book_top'] = 1
default_conf['bid_strategy']['ask_last_balance'] = 0
default_conf['telegram']['enabled'] = False
freqtrade = FreqtradeBot(default_conf)
# orderbook shall be used even if tickers would be lower.
assert freqtrade.get_buy_rate('ETH/BTC', True) != 0.042
assert ticker_mock.call_count == 0
with pytest.raises(PricingError):
freqtrade.get_buy_rate('ETH/BTC', refresh=True)
assert log_has_re(r'Buy Price from orderbook could not be determined.', caplog)
def test_check_depth_of_market_buy(default_conf, mocker, order_book_l2) -> None:
@@ -3804,7 +3897,7 @@ def test_check_depth_of_market_buy(default_conf, mocker, order_book_l2) -> None:
patch_exchange(mocker)
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
get_order_book=order_book_l2
fetch_l2_order_book=order_book_l2
)
default_conf['telegram']['enabled'] = False
default_conf['exchange']['name'] = 'binance'
@@ -3818,11 +3911,11 @@ def test_check_depth_of_market_buy(default_conf, mocker, order_book_l2) -> None:
def test_order_book_ask_strategy(default_conf, limit_buy_order, limit_sell_order,
fee, mocker, order_book_l2) -> None:
fee, mocker, order_book_l2, caplog) -> None:
"""
test order book ask strategy
"""
mocker.patch('freqtrade.exchange.Exchange.get_order_book', order_book_l2)
mocker.patch('freqtrade.exchange.Exchange.fetch_l2_order_book', order_book_l2)
default_conf['exchange']['name'] = 'binance'
default_conf['ask_strategy']['use_order_book'] = True
default_conf['ask_strategy']['order_book_min'] = 1
@@ -3856,6 +3949,13 @@ def test_order_book_ask_strategy(default_conf, limit_buy_order, limit_sell_order
patch_get_signal(freqtrade, value=(False, True))
assert freqtrade.handle_trade(trade) is True
assert trade.close_rate_requested == order_book_l2.return_value['asks'][0][0]
mocker.patch('freqtrade.exchange.Exchange.fetch_l2_order_book',
return_value={'bids': [[]], 'asks': [[]]})
with pytest.raises(PricingError):
freqtrade.handle_trade(trade)
assert log_has('Sell Price at location 1 from orderbook could not be determined.', caplog)
@pytest.mark.parametrize('side,ask,bid,expected', [
@@ -3870,6 +3970,8 @@ def test_order_book_ask_strategy(default_conf, limit_buy_order, limit_sell_order
('ask', 0.006, 1.0, 0.006),
])
def test_get_sell_rate(default_conf, mocker, caplog, side, bid, ask, expected) -> None:
caplog.set_level(logging.DEBUG)
default_conf['ask_strategy']['price_side'] = side
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', return_value={'ask': ask, 'bid': bid})
pair = "ETH/BTC"
@@ -3891,14 +3993,14 @@ def test_get_sell_rate(default_conf, mocker, caplog, side, bid, ask, expected) -
('ask', 0.043949), # Value from order_book_l2 fiture - asks side
])
def test_get_sell_rate_orderbook(default_conf, mocker, caplog, side, expected, order_book_l2):
caplog.set_level(logging.DEBUG)
# Test orderbook mode
default_conf['ask_strategy']['price_side'] = side
default_conf['ask_strategy']['use_order_book'] = True
default_conf['ask_strategy']['order_book_min'] = 1
default_conf['ask_strategy']['order_book_max'] = 2
# TODO: min/max is irrelevant for this test until refactoring
pair = "ETH/BTC"
mocker.patch('freqtrade.exchange.Exchange.get_order_book', order_book_l2)
mocker.patch('freqtrade.exchange.Exchange.fetch_l2_order_book', order_book_l2)
ft = get_patched_freqtradebot(mocker, default_conf)
rate = ft.get_sell_rate(pair, True)
assert not log_has("Using cached sell rate for ETH/BTC.", caplog)
@@ -3909,6 +4011,44 @@ def test_get_sell_rate_orderbook(default_conf, mocker, caplog, side, expected, o
assert log_has("Using cached sell rate for ETH/BTC.", caplog)
def test_get_sell_rate_orderbook_exception(default_conf, mocker, caplog):
# Test orderbook mode
default_conf['ask_strategy']['price_side'] = 'ask'
default_conf['ask_strategy']['use_order_book'] = True
default_conf['ask_strategy']['order_book_min'] = 1
default_conf['ask_strategy']['order_book_max'] = 2
pair = "ETH/BTC"
# Test What happens if the exchange returns an empty orderbook.
mocker.patch('freqtrade.exchange.Exchange.fetch_l2_order_book',
return_value={'bids': [[]], 'asks': [[]]})
ft = get_patched_freqtradebot(mocker, default_conf)
with pytest.raises(PricingError):
ft.get_sell_rate(pair, True)
assert log_has("Sell Price at location from orderbook could not be determined.", caplog)
def test_get_sell_rate_exception(default_conf, mocker, caplog):
# Ticker on one side can be empty in certain circumstances.
default_conf['ask_strategy']['price_side'] = 'ask'
pair = "ETH/BTC"
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
return_value={'ask': None, 'bid': 0.12})
ft = get_patched_freqtradebot(mocker, default_conf)
with pytest.raises(PricingError, match=r"Sell-Rate for ETH/BTC was empty."):
ft.get_sell_rate(pair, True)
ft.config['ask_strategy']['price_side'] = 'bid'
assert ft.get_sell_rate(pair, True) == 0.12
# Reverse sides
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
return_value={'ask': 0.13, 'bid': None})
with pytest.raises(PricingError, match=r"Sell-Rate for ETH/BTC was empty."):
ft.get_sell_rate(pair, True)
ft.config['ask_strategy']['price_side'] = 'ask'
assert ft.get_sell_rate(pair, True) == 0.13
def test_startup_state(default_conf, mocker):
default_conf['pairlist'] = {'method': 'VolumePairList',
'config': {'number_assets': 20}
@@ -3970,15 +4110,31 @@ def test_sync_wallet_dry_run(mocker, default_conf, ticker, fee, limit_buy_order,
@pytest.mark.usefixtures("init_persistence")
def test_cancel_all_open_orders(mocker, default_conf, fee, limit_buy_order, limit_sell_order):
default_conf['cancel_open_orders_on_exit'] = True
mocker.patch('freqtrade.exchange.Exchange.get_order',
side_effect=[DependencyException(), limit_sell_order, limit_buy_order])
mocker.patch('freqtrade.exchange.Exchange.fetch_order',
side_effect=[ExchangeError(), limit_sell_order, limit_buy_order])
buy_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_cancel_buy')
sell_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_cancel_sell')
freqtrade = get_patched_freqtradebot(mocker, default_conf)
create_mock_trades(fee)
trades = Trade.query.all()
assert len(trades) == 3
assert len(trades) == 4
freqtrade.cancel_all_open_orders()
assert buy_mock.call_count == 1
assert sell_mock.call_count == 1
@pytest.mark.usefixtures("init_persistence")
def test_check_for_open_trades(mocker, default_conf, fee, limit_buy_order, limit_sell_order):
freqtrade = get_patched_freqtradebot(mocker, default_conf)
freqtrade.check_for_open_trades()
assert freqtrade.rpc.send_msg.call_count == 0
create_mock_trades(fee)
trade = Trade.query.first()
trade.is_open = True
freqtrade.check_for_open_trades()
assert freqtrade.rpc.send_msg.call_count == 1
assert 'Handle these trades manually' in freqtrade.rpc.send_msg.call_args[0][0]['status']

View File

@@ -62,8 +62,8 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
get_fee=fee,
amount_to_precision=lambda s, x, y: y,
price_to_precision=lambda s, x, y: y,
get_order=stoploss_order_mock,
cancel_order=cancel_order_mock,
fetch_stoploss_order=stoploss_order_mock,
cancel_stoploss_order=cancel_order_mock,
)
mocker.patch.multiple(
@@ -79,10 +79,15 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
freqtrade.strategy.order_types['stoploss_on_exchange'] = True
# Switch ordertype to market to close trade immediately
freqtrade.strategy.order_types['sell'] = 'market'
freqtrade.strategy.confirm_trade_entry = MagicMock(return_value=True)
freqtrade.strategy.confirm_trade_exit = MagicMock(return_value=True)
patch_get_signal(freqtrade)
# Create some test data
freqtrade.enter_positions()
assert freqtrade.strategy.confirm_trade_entry.call_count == 3
freqtrade.strategy.confirm_trade_entry.reset_mock()
assert freqtrade.strategy.confirm_trade_exit.call_count == 0
wallets_mock.reset_mock()
Trade.session = MagicMock()
@@ -95,6 +100,9 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
n = freqtrade.exit_positions(trades)
assert n == 2
assert should_sell_mock.call_count == 2
assert freqtrade.strategy.confirm_trade_entry.call_count == 0
assert freqtrade.strategy.confirm_trade_exit.call_count == 1
freqtrade.strategy.confirm_trade_exit.reset_mock()
# Only order for 3rd trade needs to be cancelled
assert cancel_order_mock.call_count == 1

View File

@@ -35,12 +35,12 @@ def test_parse_args_backtesting(mocker) -> None:
main(['backtesting'])
assert backtesting_mock.call_count == 1
call_args = backtesting_mock.call_args[0][0]
assert call_args["config"] == ['config.json']
assert call_args["verbosity"] == 0
assert call_args["command"] == 'backtesting'
assert call_args["func"] is not None
assert callable(call_args["func"])
assert call_args["ticker_interval"] is None
assert call_args['config'] == ['config.json']
assert call_args['verbosity'] == 0
assert call_args['command'] == 'backtesting'
assert call_args['func'] is not None
assert callable(call_args['func'])
assert call_args['timeframe'] is None
def test_main_start_hyperopt(mocker) -> None:
@@ -141,12 +141,12 @@ def test_main_operational_exception1(mocker, default_conf, caplog) -> None:
assert log_has_re(r'SIGINT.*', caplog)
def test_main_reload_conf(mocker, default_conf, caplog) -> None:
def test_main_reload_config(mocker, default_conf, caplog) -> None:
patch_exchange(mocker)
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.cleanup', MagicMock())
# Simulate Running, reload, running workflow
worker_mock = MagicMock(side_effect=[State.RUNNING,
State.RELOAD_CONF,
State.RELOAD_CONFIG,
State.RUNNING,
OperationalException("Oh snap!")])
mocker.patch('freqtrade.worker.Worker._worker', worker_mock)

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@@ -11,7 +11,7 @@ from freqtrade.misc import (datesarray_to_datetimearray, file_dump_json,
file_load_json, format_ms_time, pair_to_filename,
plural, render_template,
render_template_with_fallback, safe_value_fallback,
shorten_date)
safe_value_fallback2, shorten_date)
def test_shorten_date() -> None:
@@ -96,24 +96,40 @@ def test_format_ms_time() -> None:
def test_safe_value_fallback():
dict1 = {'keya': None, 'keyb': 2, 'keyc': 5, 'keyd': None}
assert safe_value_fallback(dict1, 'keya', 'keyb') == 2
assert safe_value_fallback(dict1, 'keyb', 'keya') == 2
assert safe_value_fallback(dict1, 'keyb', 'keyc') == 2
assert safe_value_fallback(dict1, 'keya', 'keyc') == 5
assert safe_value_fallback(dict1, 'keyc', 'keyb') == 5
assert safe_value_fallback(dict1, 'keya', 'keyd') is None
assert safe_value_fallback(dict1, 'keyNo', 'keyNo') is None
assert safe_value_fallback(dict1, 'keyNo', 'keyNo', 55) == 55
def test_safe_value_fallback2():
dict1 = {'keya': None, 'keyb': 2, 'keyc': 5, 'keyd': None}
dict2 = {'keya': 20, 'keyb': None, 'keyc': 6, 'keyd': None}
assert safe_value_fallback(dict1, dict2, 'keya', 'keya') == 20
assert safe_value_fallback(dict2, dict1, 'keya', 'keya') == 20
assert safe_value_fallback2(dict1, dict2, 'keya', 'keya') == 20
assert safe_value_fallback2(dict2, dict1, 'keya', 'keya') == 20
assert safe_value_fallback(dict1, dict2, 'keyb', 'keyb') == 2
assert safe_value_fallback(dict2, dict1, 'keyb', 'keyb') == 2
assert safe_value_fallback2(dict1, dict2, 'keyb', 'keyb') == 2
assert safe_value_fallback2(dict2, dict1, 'keyb', 'keyb') == 2
assert safe_value_fallback(dict1, dict2, 'keyc', 'keyc') == 5
assert safe_value_fallback(dict2, dict1, 'keyc', 'keyc') == 6
assert safe_value_fallback2(dict1, dict2, 'keyc', 'keyc') == 5
assert safe_value_fallback2(dict2, dict1, 'keyc', 'keyc') == 6
assert safe_value_fallback(dict1, dict2, 'keyd', 'keyd') is None
assert safe_value_fallback(dict2, dict1, 'keyd', 'keyd') is None
assert safe_value_fallback(dict2, dict1, 'keyd', 'keyd', 1234) == 1234
assert safe_value_fallback2(dict1, dict2, 'keyd', 'keyd') is None
assert safe_value_fallback2(dict2, dict1, 'keyd', 'keyd') is None
assert safe_value_fallback2(dict2, dict1, 'keyd', 'keyd', 1234) == 1234
assert safe_value_fallback(dict1, dict2, 'keyNo', 'keyNo') is None
assert safe_value_fallback(dict2, dict1, 'keyNo', 'keyNo') is None
assert safe_value_fallback(dict2, dict1, 'keyNo', 'keyNo', 1234) == 1234
assert safe_value_fallback2(dict1, dict2, 'keyNo', 'keyNo') is None
assert safe_value_fallback2(dict2, dict1, 'keyNo', 'keyNo') is None
assert safe_value_fallback2(dict2, dict1, 'keyNo', 'keyNo', 1234) == 1234
def test_plural() -> None:

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@@ -298,7 +298,7 @@ def test_calc_profit(limit_buy_order, limit_sell_order, fee):
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'profit_percent'
trade.open_order_id = 'something'
trade.update(limit_buy_order) # Buy @ 0.00001099
# Custom closing rate and regular fee rate
@@ -332,7 +332,7 @@ def test_calc_profit_ratio(limit_buy_order, limit_sell_order, fee):
fee_close=fee.return_value,
exchange='bittrex',
)
trade.open_order_id = 'profit_percent'
trade.open_order_id = 'something'
trade.update(limit_buy_order) # Buy @ 0.00001099
# Get percent of profit with a custom rate (Higher than open rate)
@@ -457,6 +457,7 @@ def test_migrate_old(mocker, default_conf, fee):
assert trade.close_rate_requested is None
assert trade.is_open == 1
assert trade.amount == amount
assert trade.amount_requested == amount
assert trade.stake_amount == default_conf.get("stake_amount")
assert trade.pair == "ETC/BTC"
assert trade.exchange == "bittrex"
@@ -469,6 +470,7 @@ def test_migrate_old(mocker, default_conf, fee):
assert trade.fee_open_currency is None
assert trade.fee_close_cost is None
assert trade.fee_close_currency is None
assert trade.timeframe is None
trade = Trade.query.filter(Trade.id == 2).first()
assert trade.close_rate is not None
@@ -512,11 +514,11 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
);"""
insert_table_old = """INSERT INTO trades (exchange, pair, is_open, fee,
open_rate, stake_amount, amount, open_date,
stop_loss, initial_stop_loss, max_rate)
stop_loss, initial_stop_loss, max_rate, ticker_interval)
VALUES ('binance', 'ETC/BTC', 1, {fee},
0.00258580, {stake}, {amount},
'2019-11-28 12:44:24.000000',
0.0, 0.0, 0.0)
0.0, 0.0, 0.0, '5m')
""".format(fee=fee.return_value,
stake=default_conf.get("stake_amount"),
amount=amount
@@ -545,6 +547,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
assert trade.close_rate_requested is None
assert trade.is_open == 1
assert trade.amount == amount
assert trade.amount_requested == amount
assert trade.stake_amount == default_conf.get("stake_amount")
assert trade.pair == "ETC/BTC"
assert trade.exchange == "binance"
@@ -554,7 +557,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
assert trade.initial_stop_loss == 0.0
assert trade.sell_reason is None
assert trade.strategy is None
assert trade.ticker_interval is None
assert trade.timeframe == '5m'
assert trade.stoploss_order_id is None
assert trade.stoploss_last_update is None
assert log_has("trying trades_bak1", caplog)
@@ -724,6 +727,7 @@ def test_to_json(default_conf, fee):
pair='ETH/BTC',
stake_amount=0.001,
amount=123.0,
amount_requested=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=arrow.utcnow().shift(hours=-2).datetime,
@@ -739,9 +743,11 @@ def test_to_json(default_conf, fee):
'is_open': None,
'open_date_hum': '2 hours ago',
'open_date': trade.open_date.strftime("%Y-%m-%d %H:%M:%S"),
'open_timestamp': int(trade.open_date.timestamp() * 1000),
'open_order_id': 'dry_run_buy_12345',
'close_date_hum': None,
'close_date': None,
'close_timestamp': None,
'open_rate': 0.123,
'open_rate_requested': None,
'open_trade_price': 15.1668225,
@@ -754,24 +760,37 @@ def test_to_json(default_conf, fee):
'close_rate': None,
'close_rate_requested': None,
'amount': 123.0,
'amount_requested': 123.0,
'stake_amount': 0.001,
'close_profit': None,
'close_profit_abs': None,
'sell_reason': None,
'sell_order_status': None,
'stop_loss': None,
'stop_loss_abs': None,
'stop_loss_ratio': None,
'stop_loss_pct': None,
'stoploss_order_id': None,
'stoploss_last_update': None,
'stoploss_last_update_timestamp': None,
'initial_stop_loss': None,
'initial_stop_loss_abs': None,
'initial_stop_loss_pct': None,
'initial_stop_loss_ratio': None,
'min_rate': None,
'max_rate': None,
'strategy': None,
'ticker_interval': None}
'ticker_interval': None,
'timeframe': None,
'exchange': 'bittrex',
}
# Simulate dry_run entries
trade = Trade(
pair='XRP/BTC',
stake_amount=0.001,
amount=100.0,
amount_requested=101.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=arrow.utcnow().shift(hours=-2).datetime,
@@ -787,17 +806,28 @@ def test_to_json(default_conf, fee):
'pair': 'XRP/BTC',
'open_date_hum': '2 hours ago',
'open_date': trade.open_date.strftime("%Y-%m-%d %H:%M:%S"),
'open_timestamp': int(trade.open_date.timestamp() * 1000),
'close_date_hum': 'an hour ago',
'close_date': trade.close_date.strftime("%Y-%m-%d %H:%M:%S"),
'close_timestamp': int(trade.close_date.timestamp() * 1000),
'open_rate': 0.123,
'close_rate': 0.125,
'amount': 100.0,
'amount_requested': 101.0,
'stake_amount': 0.001,
'stop_loss': None,
'stop_loss_abs': None,
'stop_loss_pct': None,
'stop_loss_ratio': None,
'stoploss_order_id': None,
'stoploss_last_update': None,
'stoploss_last_update_timestamp': None,
'initial_stop_loss': None,
'initial_stop_loss_abs': None,
'initial_stop_loss_pct': None,
'initial_stop_loss_ratio': None,
'close_profit': None,
'close_profit_abs': None,
'close_rate_requested': None,
'fee_close': 0.0025,
'fee_close_cost': None,
@@ -814,7 +844,10 @@ def test_to_json(default_conf, fee):
'sell_reason': None,
'sell_order_status': None,
'strategy': None,
'ticker_interval': None}
'ticker_interval': None,
'timeframe': None,
'exchange': 'bittrex',
}
def test_stoploss_reinitialization(default_conf, fee):
@@ -962,7 +995,7 @@ def test_get_overall_performance(fee):
create_mock_trades(fee)
res = Trade.get_overall_performance()
assert len(res) == 1
assert len(res) == 2
assert 'pair' in res[0]
assert 'profit' in res[0]
assert 'count' in res[0]
@@ -977,5 +1010,5 @@ def test_get_best_pair(fee):
create_mock_trades(fee)
res = Trade.get_best_pair()
assert len(res) == 2
assert res[0] == 'ETC/BTC'
assert res[1] == 0.005
assert res[0] == 'XRP/BTC'
assert res[1] == 0.01

View File

@@ -21,7 +21,7 @@ from freqtrade.plot.plotting import (add_indicators, add_profit,
load_and_plot_trades, plot_profit,
plot_trades, store_plot_file)
from freqtrade.resolvers import StrategyResolver
from tests.conftest import get_args, log_has, log_has_re
from tests.conftest import get_args, log_has, log_has_re, patch_exchange
def fig_generating_mock(fig, *args, **kwargs):
@@ -47,7 +47,7 @@ def generate_empty_figure():
def test_init_plotscript(default_conf, mocker, testdatadir):
default_conf['timerange'] = "20180110-20180112"
default_conf['trade_source'] = "file"
default_conf['ticker_interval'] = "5m"
default_conf['timeframe'] = "5m"
default_conf["datadir"] = testdatadir
default_conf['exportfilename'] = testdatadir / "backtest-result_test.json"
ret = init_plotscript(default_conf)
@@ -124,7 +124,7 @@ def test_plot_trades(testdatadir, caplog):
trade_sell = find_trace_in_fig_data(figure.data, 'Sell - Profit')
assert isinstance(trade_sell, go.Scatter)
assert trade_sell.yaxis == 'y'
assert len(trades.loc[trades['profitperc'] > 0]) == len(trade_sell.x)
assert len(trades.loc[trades['profit_percent'] > 0]) == len(trade_sell.x)
assert trade_sell.marker.color == 'green'
assert trade_sell.marker.symbol == 'square-open'
assert trade_sell.text[0] == '4.0%, roi, 15 min'
@@ -132,7 +132,7 @@ def test_plot_trades(testdatadir, caplog):
trade_sell_loss = find_trace_in_fig_data(figure.data, 'Sell - Loss')
assert isinstance(trade_sell_loss, go.Scatter)
assert trade_sell_loss.yaxis == 'y'
assert len(trades.loc[trades['profitperc'] <= 0]) == len(trade_sell_loss.x)
assert len(trades.loc[trades['profit_percent'] <= 0]) == len(trade_sell_loss.x)
assert trade_sell_loss.marker.color == 'red'
assert trade_sell_loss.marker.symbol == 'square-open'
assert trade_sell_loss.text[5] == '-10.4%, stop_loss, 720 min'
@@ -267,7 +267,7 @@ def test_generate_profit_graph(testdatadir):
trades = load_backtest_data(filename)
timerange = TimeRange.parse_timerange("20180110-20180112")
pairs = ["TRX/BTC", "XLM/BTC"]
trades = trades[trades['close_time'] < pd.Timestamp('2018-01-12', tz='UTC')]
trades = trades[trades['close_date'] < pd.Timestamp('2018-01-12', tz='UTC')]
data = history.load_data(datadir=testdatadir,
pairs=pairs,
@@ -316,6 +316,8 @@ def test_start_plot_dataframe(mocker):
def test_load_and_plot_trades(default_conf, mocker, caplog, testdatadir):
patch_exchange(mocker)
default_conf['trade_source'] = 'file'
default_conf["datadir"] = testdatadir
default_conf['exportfilename'] = testdatadir / "backtest-result_test.json"
@@ -374,7 +376,7 @@ def test_start_plot_profit_error(mocker):
def test_plot_profit(default_conf, mocker, testdatadir, caplog):
default_conf['trade_source'] = 'file'
default_conf["datadir"] = testdatadir
default_conf['exportfilename'] = testdatadir / "backtest-result_test.json"
default_conf['exportfilename'] = testdatadir / "backtest-result_test_nofile.json"
default_conf['pairs'] = ["ETH/BTC", "LTC/BTC"]
profit_mock = MagicMock()
@@ -384,6 +386,12 @@ def test_plot_profit(default_conf, mocker, testdatadir, caplog):
generate_profit_graph=profit_mock,
store_plot_file=store_mock
)
with pytest.raises(OperationalException,
match=r"No trades found, cannot generate Profit-plot.*"):
plot_profit(default_conf)
default_conf['exportfilename'] = testdatadir / "backtest-result_test.json"
plot_profit(default_conf)
# Plot-profit generates one combined plot

1
tests/testdata/.last_result.json vendored Normal file
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@@ -0,0 +1 @@
{"latest_backtest":"backtest-result_new.json"}

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