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test: update rel_mean test to use USDT Pairs

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This will allow highlighting a problem pointed out in #12588
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Matthias
2025-12-04 20:04:44 +01:00
parent 7f831f8a9c
commit fe95581acd
1 changed files with 7 additions and 5 deletions
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12
tests/data/test_btanalysis.py
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@@ -290,20 +290,22 @@ def test_combine_dataframes_with_mean(testdatadir):
def test_combined_dataframes_with_rel_mean(testdatadir): def test_combined_dataframes_with_rel_mean(testdatadir):
pairs = ["ETH/BTC", "ADA/BTC"] pairs = ["BTC/USDT", "XRP/USDT"]
data = load_data(datadir=testdatadir, pairs=pairs, timeframe="5m") data = load_data(datadir=testdatadir, pairs=pairs, timeframe="5m")
df = combined_dataframes_with_rel_mean( df = combined_dataframes_with_rel_mean(
data, datetime(2018, 1, 12, tzinfo=UTC), datetime(2018, 1, 28, tzinfo=UTC) data,
fromdt=data["BTC/USDT"].at[0, "date"],
todt=data["BTC/USDT"].at[data["BTC/USDT"].index[-1], "date"],
) )
assert isinstance(df, DataFrame) assert isinstance(df, DataFrame)
assert "ETH/BTC" not in df.columns assert "BTC/USDT" not in df.columns
assert "ADA/BTC" not in df.columns assert "XRP/USDT" not in df.columns
assert "mean" in df.columns assert "mean" in df.columns
assert "rel_mean" in df.columns assert "rel_mean" in df.columns
assert "count" in df.columns assert "count" in df.columns
assert df.iloc[0]["count"] == 2 assert df.iloc[0]["count"] == 2
assert df.iloc[-1]["count"] == 2 assert df.iloc[-1]["count"] == 2
assert len(df) < len(data["ETH/BTC"]) assert len(df) < len(data["BTC/USDT"])
def test_combine_dataframes_with_mean_no_data(testdatadir): def test_combine_dataframes_with_mean_no_data(testdatadir):