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freqtrade_origin/tests/persistence/test_trade_fromjson.py
Matthias 1696aa3915 Adjust tests for new fields
2024-02-15 20:39:06 +01:00

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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', 'open_fill_date', 'open_fill_timestamp',
'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)
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