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Use Datetime_format from constants

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Matthias
2022-09-09 20:17:34 +02:00
parent 37fcbeba58
commit 97be3318f4
4 changed files with 15 additions and 14 deletions
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6
tests/data/test_history.py
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@@ -13,7 +13,7 @@ from pandas import DataFrame
from pandas.testing import assert_frame_equal
from freqtrade.configuration import TimeRange
from freqtrade.constants import AVAILABLE_DATAHANDLERS
from freqtrade.constants import AVAILABLE_DATAHANDLERS, DATETIME_PRINT_FORMAT
from freqtrade.data.converter import ohlcv_to_dataframe
from freqtrade.data.history.hdf5datahandler import HDF5DataHandler
from freqtrade.data.history.history_utils import (_download_pair_history, _download_trades_history,
@@ -386,7 +386,7 @@ def test_load_partial_missing(testdatadir, caplog) -> None:
assert td != len(data['UNITTEST/BTC'])
start_real = data['UNITTEST/BTC'].iloc[0, 0]
assert log_has(f'UNITTEST/BTC, spot, 5m, '
f'data starts at {start_real.strftime("%Y-%m-%d %H:%M:%S")}',
f'data starts at {start_real.strftime(DATETIME_PRINT_FORMAT)}',
caplog)
# Make sure we start fresh - test missing data at end
caplog.clear()
@@ -401,7 +401,7 @@ def test_load_partial_missing(testdatadir, caplog) -> None:
# Shift endtime with +5 - as last candle is dropped (partial candle)
end_real = arrow.get(data['UNITTEST/BTC'].iloc[-1, 0]).shift(minutes=5)
assert log_has(f'UNITTEST/BTC, spot, 5m, '
f'data ends at {end_real.strftime("%Y-%m-%d %H:%M:%S")}',
f'data ends at {end_real.strftime(DATETIME_PRINT_FORMAT)}',
caplog)