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Update test for new trades handling

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Matthias
2023-08-17 09:56:31 +02:00
parent 7ac9d33c31
commit a595074754
2 changed files with 17 additions and 9 deletions
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7
tests/conftest.py
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@@ -2349,6 +2349,13 @@ def trades_history():
[1565798399872, '1261aa81333', None, 'sell', 0.019626, 0.011, 0.00021588599999999999]]
@pytest.fixture(scope="function")
def trades_history_df(trades_history):
trades = pd.DataFrame(trades_history, columns=constants.DEFAULT_TRADES_COLUMNS)
trades['timestamp'] = pd.to_datetime(trades['timestamp'], unit='ms', utc=True)
return trades
@pytest.fixture(scope="function")
def fetch_trades_result():
return [{'info': {'a': 126181329,

19
tests/data/test_converter.py
View File

@@ -4,6 +4,7 @@ from pathlib import Path
from shutil import copyfile
import numpy as np
import pandas as pd
import pytest
from freqtrade.configuration.timerange import TimeRange
@@ -34,13 +35,13 @@ def test_ohlcv_to_dataframe(ohlcv_history_list, caplog):
assert log_has('Converting candle (OHLCV) data to dataframe for pair UNITTEST/BTC.', caplog)
def test_trades_to_ohlcv(trades_history, caplog):
def test_trades_to_ohlcv(trades_history_df, caplog):
caplog.set_level(logging.DEBUG)
with pytest.raises(ValueError, match="Trade-list empty."):
trades_to_ohlcv([], '1m')
trades_to_ohlcv(pd.DataFrame(columns=trades_history_df.columns), '1m')
df = trades_to_ohlcv(trades_history, '1m')
df = trades_to_ohlcv(trades_history_df, '1m')
assert not df.empty
assert len(df) == 1
assert 'open' in df.columns
@@ -297,13 +298,13 @@ def test_trim_dataframe(testdatadir) -> None:
assert all(data_modify.iloc[0] == data.iloc[25])
def test_trades_remove_duplicates(trades_history):
trades_history1 = trades_history * 3
assert len(trades_history1) == len(trades_history) * 3
def test_trades_remove_duplicates(trades_history_df):
trades_history1 = pd.concat([trades_history_df, trades_history_df, trades_history_df]
).reset_index(drop=True)
assert len(trades_history1) == len(trades_history_df) * 3
res = trades_remove_duplicates(trades_history1)
assert len(res) == len(trades_history)
for i, t in enumerate(res):
assert t == trades_history[i]
assert len(res) == len(trades_history_df)
assert res.equals(trades_history_df)
def test_trades_dict_to_list(fetch_trades_result):