raise OperationalException if latest historical data candle is older than earliest dataprovider candle
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@ -627,12 +627,12 @@ class FreqaiDataDrawer:
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for pair in dk.all_pairs:
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for pair in dk.all_pairs:
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for tf in feat_params.get("include_timeframes"):
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for tf in feat_params.get("include_timeframes"):
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hist_df = history_data[pair][tf]
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# check if newest candle is already appended
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# check if newest candle is already appended
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df_dp = strategy.dp.get_pair_dataframe(pair, tf)
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df_dp = strategy.dp.get_pair_dataframe(pair, tf)
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if len(df_dp.index) == 0:
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if len(df_dp.index) == 0:
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continue
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continue
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if str(history_data[pair][tf].iloc[-1]["date"]) == str(
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if str(hist_df.iloc[-1]["date"]) == str(
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df_dp.iloc[-1:]["date"].iloc[-1]
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df_dp.iloc[-1:]["date"].iloc[-1]
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):
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):
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continue
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continue
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@ -640,28 +640,30 @@ class FreqaiDataDrawer:
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try:
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try:
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index = (
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index = (
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df_dp.loc[
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df_dp.loc[
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df_dp["date"] == history_data[pair][tf].iloc[-1]["date"]
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df_dp["date"] == hist_df.iloc[-1]["date"]
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].index[0]
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].index[0]
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+ 1
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+ 1
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)
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)
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except IndexError:
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except IndexError:
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if history_data[pair][tf].iloc[-1]['date'] < df_dp['date'].iloc[0]:
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if hist_df.iloc[-1]['date'] < df_dp['date'].iloc[0]:
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index = 0
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raise OperationalException("In memory historical data is older than "
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f"oldest DataProvider candle for {pair} on "
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f"timeframe {tf}")
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else:
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else:
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index = -1
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index = -1
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logger.warning(
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logger.warning(
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f"No common dates in historical data and dataprovider for {pair}. "
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f"No common dates in historical data and dataprovider for {pair}. "
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f"Appending dataprovider to historical data (full? {not bool(index)})"
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f"Appending latest dataprovider candle to historical data "
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"but please be aware that there is likely a gap in the historical "
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"but please be aware that there is likely a gap in the historical "
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"data. \n"
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"data. \n"
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f"Historical data ends at {history_data[pair][tf].iloc[-1]['date']} "
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f"Historical data ends at {hist_df.iloc[-1]['date']} "
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f"while dataprovider starts at {df_dp['date'].iloc[0]} and"
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f"while dataprovider starts at {df_dp['date'].iloc[0]} and"
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f"ends at {df_dp['date'].iloc[0]}."
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f"ends at {df_dp['date'].iloc[0]}."
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)
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)
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history_data[pair][tf] = pd.concat(
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hist_df = pd.concat(
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[
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[
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history_data[pair][tf],
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hist_df,
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df_dp.iloc[index:],
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df_dp.iloc[index:],
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],
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],
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ignore_index=True,
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ignore_index=True,
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