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Small type fixes

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This commit is contained in:
Matthias 2024-05-18 16:45:49 +02:00
parent 1167917cf6
commit d0eb55a0be
1 changed files with 6 additions and 7 deletions
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13
freqtrade/exchange/exchange.py
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@ -34,8 +34,9 @@ from freqtrade.constants import (
OBLiteral,
PairWithTimeframe,
)
from freqtrade.data.converter import clean_ohlcv_dataframe, ohlcv_to_dataframe
from freqtrade.data.converter.trade_converter import (
from freqtrade.data.converter import (
clean_ohlcv_dataframe,
ohlcv_to_dataframe,
trades_df_remove_duplicates,
trades_dict_to_list,
trades_list_to_df,
@ -2553,7 +2554,7 @@ class Exchange:
c_type: CandleType,
ticks: List[List],
cache: bool,
first_required_candle_date: Optional[int],
first_required_candle_date: int,
) -> DataFrame:
# keeping parsed dataframe in cache
trades_df = trades_list_to_df(ticks, True)
@ -2568,10 +2569,8 @@ class Exchange:
trades_df_remove_duplicates(combined_df), columns=combined_df.columns
)
# Age out old candles
if first_required_candle_date:
# slice of older dates
trades_df = trades_df[first_required_candle_date < trades_df["timestamp"]]
trades_df = trades_df.reset_index(drop=True)
trades_df = trades_df[first_required_candle_date < trades_df["timestamp"]]
trades_df = trades_df.reset_index(drop=True)
self._trades[(pair, timeframe, c_type)] = trades_df
return trades_df