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Reduce verbosity of missing data if less than 1% of data is missing

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Matthias
2021-03-30 07:26:39 +02:00
parent 71dea3fb93
commit 50fcb3f330
2 changed files with 13 additions and 6 deletions
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9
freqtrade/data/converter.py
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@@ -110,8 +110,15 @@ def ohlcv_fill_up_missing_data(dataframe: DataFrame, timeframe: str, pair: str)
df.reset_index(inplace=True)
len_before = len(dataframe)
len_after = len(df)
pct_missing = (len_after - len_before) / len_before if len_before > 0 else 0
if len_before != len_after:
logger.info(f"Missing data fillup for {pair}: before: {len_before} - after: {len_after}")
message = (f"Missing data fillup for {pair}: before: {len_before} - after: {len_after}"
f" - {round(pct_missing * 100, 2)} %")
if pct_missing > 0.01:
logger.info(message)
else:
# Don't be verbose if only a small amount is missing
logger.debug(message)
return df