Convert validate_backtest_data to take dataframe directly
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@ -286,12 +286,13 @@ def get_timeframe(data: Dict[str, DataFrame]) -> Tuple[arrow.Arrow, arrow.Arrow]
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max(timeframe, key=operator.itemgetter(1))[1]
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def validate_backtest_data(data: Dict[str, DataFrame], min_date: datetime,
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def validate_backtest_data(data: DataFrame, pair: str, min_date: datetime,
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max_date: datetime, ticker_interval_mins: int) -> bool:
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"""
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Validates preprocessed backtesting data for missing values and shows warnings about it that.
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:param data: dictionary with preprocessed backtesting data
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:param data: preprocessed backtesting data (as DataFrame)
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:param pair: pair used for log output.
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:param min_date: start-date of the data
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:param max_date: end-date of the data
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:param ticker_interval_mins: ticker interval in minutes
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@ -299,10 +300,9 @@ def validate_backtest_data(data: Dict[str, DataFrame], min_date: datetime,
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# total difference in minutes / interval-minutes
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expected_frames = int((max_date - min_date).total_seconds() // 60 // ticker_interval_mins)
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found_missing = False
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for pair, df in data.items():
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dflen = len(df)
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if dflen < expected_frames:
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found_missing = True
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logger.warning("%s has missing frames: expected %s, got %s, that's %s missing values",
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pair, expected_frames, dflen, expected_frames - dflen)
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dflen = len(data)
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if dflen < expected_frames:
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found_missing = True
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logger.warning("%s has missing frames: expected %s, got %s, that's %s missing values",
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pair, expected_frames, dflen, expected_frames - dflen)
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return found_missing
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