From 104fa9e32db3dc69d5fdf43ffffdcc03dbd58d5b Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 20 May 2023 19:58:14 +0200 Subject: [PATCH] Use logger, not the logging module --- freqtrade/optimize/lookahead_analysis.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/freqtrade/optimize/lookahead_analysis.py b/freqtrade/optimize/lookahead_analysis.py index dfb1a9ea2..e40322c88 100755 --- a/freqtrade/optimize/lookahead_analysis.py +++ b/freqtrade/optimize/lookahead_analysis.py @@ -121,9 +121,9 @@ class LookaheadAnalysis: if not self.current_analysis.false_indicators.__contains__(col_name[0]): self.current_analysis.false_indicators.append(col_name[0]) - logging.info(f"=> found look ahead bias in indicator " - f"{col_name[0]}. " - f"{str(self_value)} != {str(other_value)}") + logger.info(f"=> found look ahead bias in indicator " + f"{col_name[0]}. " + f"{str(self_value)} != {str(other_value)}") def prepare_data(self, varholder: VarHolder, pairs_to_load: List[pd.DataFrame]): @@ -232,14 +232,14 @@ class LookaheadAnalysis: # check if requirements have been met of full_varholder found_signals: int = self.full_varHolder.result['results'].shape[0] + 1 if found_signals >= self.targeted_trade_amount: - logging.info(f"Found {found_signals} trades, " - f"calculating {self.targeted_trade_amount} trades.") + logger.info(f"Found {found_signals} trades, " + f"calculating {self.targeted_trade_amount} trades.") elif self.targeted_trade_amount >= found_signals >= self.minimum_trade_amount: - logging.info(f"Only found {found_signals} trades. Calculating all available trades.") + logger.info(f"Only found {found_signals} trades. Calculating all available trades.") else: - logging.info(f"found {found_signals} trades " - f"which is less than minimum_trade_amount {self.minimum_trade_amount}. " - f"Cancelling this backtest lookahead bias test.") + logger.info(f"found {found_signals} trades " + f"which is less than minimum_trade_amount {self.minimum_trade_amount}. " + f"Cancelling this backtest lookahead bias test.") return # now we loop through all signals @@ -253,9 +253,9 @@ class LookaheadAnalysis: if (self.current_analysis.false_entry_signals > 0 or self.current_analysis.false_exit_signals > 0 or len(self.current_analysis.false_indicators) > 0): - logging.info(f" => {self.local_config['strategy']} + : bias detected!") + logger.info(f" => {self.local_config['strategy']} + : bias detected!") self.current_analysis.has_bias = True else: - logging.info(self.local_config['strategy'] + ": no bias detected") + logger.info(self.local_config['strategy'] + ": no bias detected") self.failed_bias_check = False