mirror of
https://github.com/freqtrade/freqtrade.git
synced 2026-02-05 22:00:25 +00:00
fix mypy
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@@ -44,7 +44,7 @@ class RecursiveAnalysis:
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self.local_config['strategy'] = strategy_obj['name']
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self._startup_candle = config.get('startup_candle', [199, 399, 499, 999, 1999])
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self.strategy_obj = strategy_obj
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self.dict_recursive: Dict[Any] = dict()
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self.dict_recursive: Dict[str, Any] = dict()
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@staticmethod
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def dt_to_timestamp(dt: datetime):
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@@ -39,86 +39,8 @@ class RecursiveAnalysisSubFunctions:
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print(table)
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return table, headers, data
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@staticmethod
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def export_to_csv(config: Dict[str, Any], lookahead_analysis: List[RecursiveAnalysis]):
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def add_or_update_row(df, row_data):
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if (
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(df['filename'] == row_data['filename']) &
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(df['strategy'] == row_data['strategy'])
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).any():
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# Update existing row
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pd_series = pd.DataFrame([row_data])
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df.loc[
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(df['filename'] == row_data['filename']) &
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(df['strategy'] == row_data['strategy'])
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] = pd_series
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else:
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# Add new row
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df = pd.concat([df, pd.DataFrame([row_data], columns=df.columns)])
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return df
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if Path(config['lookahead_analysis_exportfilename']).exists():
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# Read CSV file into a pandas dataframe
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csv_df = pd.read_csv(config['lookahead_analysis_exportfilename'])
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else:
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# Create a new empty DataFrame with the desired column names and set the index
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csv_df = pd.DataFrame(columns=[
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'filename', 'strategy', 'has_bias', 'total_signals',
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'biased_entry_signals', 'biased_exit_signals', 'biased_indicators'
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],
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index=None)
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for inst in lookahead_analysis:
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# only update if
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if (inst.current_analysis.total_signals > config['minimum_trade_amount']
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and inst.failed_bias_check is not True):
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new_row_data = {'filename': inst.strategy_obj['location'].parts[-1],
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'strategy': inst.strategy_obj['name'],
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'has_bias': inst.current_analysis.has_bias,
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'total_signals':
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int(inst.current_analysis.total_signals),
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'biased_entry_signals':
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int(inst.current_analysis.false_entry_signals),
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'biased_exit_signals':
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int(inst.current_analysis.false_exit_signals),
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'biased_indicators':
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",".join(inst.current_analysis.false_indicators)}
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csv_df = add_or_update_row(csv_df, new_row_data)
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# Fill NaN values with a default value (e.g., 0)
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csv_df['total_signals'] = csv_df['total_signals'].fillna(0)
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csv_df['biased_entry_signals'] = csv_df['biased_entry_signals'].fillna(0)
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csv_df['biased_exit_signals'] = csv_df['biased_exit_signals'].fillna(0)
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# Convert columns to integers
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csv_df['total_signals'] = csv_df['total_signals'].astype(int)
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csv_df['biased_entry_signals'] = csv_df['biased_entry_signals'].astype(int)
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csv_df['biased_exit_signals'] = csv_df['biased_exit_signals'].astype(int)
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logger.info(f"saving {config['lookahead_analysis_exportfilename']}")
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csv_df.to_csv(config['lookahead_analysis_exportfilename'], index=False)
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@staticmethod
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def calculate_config_overrides(config: Config):
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if config['targeted_trade_amount'] < config['minimum_trade_amount']:
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# this combo doesn't make any sense.
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raise OperationalException(
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"Targeted trade amount can't be smaller than minimum trade amount."
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)
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if len(config['pairs']) > config['max_open_trades']:
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logger.info('Max_open_trades were less than amount of pairs. '
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'Set max_open_trades to amount of pairs just to avoid false positives.')
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config['max_open_trades'] = len(config['pairs'])
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min_dry_run_wallet = 1000000000
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if config['dry_run_wallet'] < min_dry_run_wallet:
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logger.info('Dry run wallet was not set to 1 billion, pushing it up there '
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'just to avoid false positives')
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config['dry_run_wallet'] = min_dry_run_wallet
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# enforce cache to be 'none', shift it to 'none' if not already
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# (since the default value is 'day')
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if config.get('backtest_cache') is None:
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config['backtest_cache'] = 'none'
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elif config['backtest_cache'] != 'none':
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@@ -173,8 +95,6 @@ class RecursiveAnalysisSubFunctions:
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if RecursiveAnalysis_instances:
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RecursiveAnalysisSubFunctions.text_table_recursive_analysis_instances(
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config, RecursiveAnalysis_instances)
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if config.get('lookahead_analysis_exportfilename') is not None:
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RecursiveAnalysisSubFunctions.export_to_csv(config, RecursiveAnalysis_instances)
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else:
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logger.error("There were no strategies specified neither through "
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"--strategy nor through "
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