import json from datetime import datetime, timezone import pytest from freqtrade.persistence.trade_model import LocalTrade, Trade from tests.conftest import create_mock_trades_usdt @pytest.mark.usefixtures("init_persistence") def test_trade_fromjson(): """Test the Trade.from_json() method.""" trade_string = """{ "trade_id": 25, "pair": "ETH/USDT", "base_currency": "ETH", "quote_currency": "USDT", "is_open": false, "exchange": "binance", "amount": 407.0, "amount_requested": 102.92547026, "stake_amount": 102.7494348, "strategy": "SampleStrategy55", "buy_tag": "Strategy2", "enter_tag": "Strategy2", "timeframe": 5, "fee_open": 0.001, "fee_open_cost": 0.1027494, "fee_open_currency": "ETH", "fee_close": 0.001, "fee_close_cost": 0.1054944, "fee_close_currency": "USDT", "open_date": "2022-10-18 09:12:42", "open_timestamp": 1666084362912, "open_rate": 0.2518998249562391, "open_rate_requested": 0.2516, "open_trade_value": 102.62575199, "close_date": "2022-10-18 09:45:22", "close_timestamp": 1666086322208, "realized_profit": 2.76315361, "close_rate": 0.2592, "close_rate_requested": 0.2592, "close_profit": 0.026865, "close_profit_pct": 2.69, "close_profit_abs": 2.76315361, "trade_duration_s": 1959, "trade_duration": 32, "profit_ratio": 0.02686, "profit_pct": 2.69, "profit_abs": 2.76315361, "sell_reason": "no longer good", "exit_reason": "no longer good", "exit_order_status": "closed", "stop_loss_abs": 0.1981, "stop_loss_ratio": -0.216, "stop_loss_pct": -21.6, "stoploss_last_update": "2022-10-18 09:13:42", "stoploss_last_update_timestamp": 1666077222000, "initial_stop_loss_abs": 0.1981, "initial_stop_loss_ratio": -0.216, "initial_stop_loss_pct": -21.6, "min_rate": 0.2495, "max_rate": 0.2592, "leverage": 1.0, "interest_rate": 0.0, "liquidation_price": null, "is_short": false, "trading_mode": "spot", "funding_fees": 0.0, "amount_precision": 1.0, "price_precision": 3.0, "precision_mode": 2, "contract_size": 1.0, "open_order_id": null, "orders": [ { "amount": 102.0, "safe_price": 0.2526, "ft_order_side": "buy", "order_filled_timestamp": 1666084370887, "ft_is_entry": true, "pair": "ETH/USDT", "order_id": "78404228", "status": "closed", "average": 0.2526, "cost": 25.7652, "filled": 102.0, "is_open": false, "order_date": "2022-10-18 09:12:42", "order_timestamp": 1666084362684, "order_filled_date": "2022-10-18 09:12:50", "order_type": "limit", "price": 0.2526, "remaining": 0.0 }, { "amount": 102.0, "safe_price": 0.2517, "ft_order_side": "buy", "order_filled_timestamp": 1666084379056, "ft_is_entry": true, "pair": "ETH/USDT", "order_id": "78405139", "status": "closed", "average": 0.2517, "cost": 25.6734, "filled": 102.0, "is_open": false, "order_date": "2022-10-18 09:12:57", "order_timestamp": 1666084377681, "order_filled_date": "2022-10-18 09:12:59", "order_type": "limit", "price": 0.2517, "remaining": 0.0 }, { "amount": 102.0, "safe_price": 0.2517, "ft_order_side": "buy", "order_filled_timestamp": 1666084389644, "ft_is_entry": true, "pair": "ETH/USDT", "order_id": "78405265", "status": "closed", "average": 0.2517, "cost": 25.6734, "filled": 102.0, "is_open": false, "order_date": "2022-10-18 09:13:03", "order_timestamp": 1666084383295, "order_filled_date": "2022-10-18 09:13:09", "order_type": "limit", "price": 0.2517, "remaining": 0.0 }, { "amount": 102.0, "safe_price": 0.2516, "ft_order_side": "buy", "order_filled_timestamp": 1666084723521, "ft_is_entry": true, "pair": "ETH/USDT", "order_id": "78405395", "status": "closed", "average": 0.2516, "cost": 25.6632, "filled": 102.0, "is_open": false, "order_date": "2022-10-18 09:13:13", "order_timestamp": 1666084393920, "order_filled_date": "2022-10-18 09:18:43", "order_type": "limit", "price": 0.2516, "remaining": 0.0 }, { "amount": 407.0, "safe_price": 0.2592, "ft_order_side": "sell", "order_filled_timestamp": 1666086322198, "ft_is_entry": false, "pair": "ETH/USDT", "order_id": "78432649", "status": "closed", "average": 0.2592, "cost": 105.4944, "filled": 407.0, "is_open": false, "order_date": "2022-10-18 09:45:21", "order_timestamp": 1666086321435, "order_filled_date": "2022-10-18 09:45:22", "order_type": "market", "price": 0.2592, "remaining": 0.0, "funding_fee": -0.055 } ] }""" trade = Trade.from_json(trade_string) Trade.session.add(trade) Trade.commit() assert trade.id == 25 assert trade.pair == 'ETH/USDT' assert trade.open_date_utc == datetime(2022, 10, 18, 9, 12, 42, tzinfo=timezone.utc) assert isinstance(trade.open_date, datetime) assert trade.exit_reason == 'no longer good' assert trade.realized_profit == 2.76315361 assert trade.precision_mode == 2 assert trade.amount_precision == 1.0 assert trade.contract_size == 1.0 assert len(trade.orders) == 5 last_o = trade.orders[-1] assert last_o.order_filled_utc == datetime(2022, 10, 18, 9, 45, 22, tzinfo=timezone.utc) assert isinstance(last_o.order_date, datetime) assert last_o.funding_fee == -0.055 @pytest.mark.usefixtures("init_persistence") def test_trade_serialize_load_back(fee): create_mock_trades_usdt(fee, None) t = Trade.get_trades([Trade.id == 1]).first() assert t.id == 1 t.funding_fees = 0.025 t.orders[0].funding_fee = 0.0125 assert len(t.orders) == 2 Trade.commit() tjson = t.to_json(False) assert isinstance(tjson, dict) trade_string = json.dumps(tjson) trade = Trade.from_json(trade_string) assert trade.id == t.id assert trade.funding_fees == t.funding_fees assert len(trade.orders) == len(t.orders) assert trade.orders[0].funding_fee == t.orders[0].funding_fee excluded = [ 'trade_id', 'quote_currency', 'open_timestamp', 'close_timestamp', 'realized_profit_ratio', 'close_profit_pct', 'trade_duration_s', 'trade_duration', 'profit_ratio', 'profit_pct', 'profit_abs', 'stop_loss_abs', 'initial_stop_loss_abs', 'orders', ] failed = [] # Ensure all attributes written can be read. for obj, value in tjson.items(): if obj in excluded: continue tattr = getattr(trade, obj, None) if isinstance(tattr, datetime): tattr = tattr.strftime('%Y-%m-%d %H:%M:%S') if tattr != value: failed.append((obj, tattr, value)) assert tjson.get('trade_id') == trade.id assert tjson.get('quote_currency') == trade.stake_currency assert tjson.get('stop_loss_abs') == trade.stop_loss assert tjson.get('initial_stop_loss_abs') == trade.initial_stop_loss excluded_o = [ 'order_filled_timestamp', 'ft_is_entry', 'pair', 'is_open', 'order_timestamp', ] order_obj = trade.orders[0] for obj, value in tjson['orders'][0].items(): if obj in excluded_o: continue tattr = getattr(order_obj, obj, None) if isinstance(tattr, datetime): tattr = tattr.strftime('%Y-%m-%d %H:%M:%S') if tattr != value: failed.append((obj, tattr, value)) assert tjson['orders'][0]['pair'] == order_obj.ft_pair assert not failed trade2 = LocalTrade.from_json(trade_string) assert len(trade2.orders) == len(t.orders) trade3 = LocalTrade.from_json(trade_string) assert len(trade3.orders) == len(t.orders)