From: Jérôme Benoit <jerome.benoit@piment-noir.org>
Date: Tue, 4 Mar 2025 21:55:49 +0000 (+0100)
Subject: refactor(qav3): code reformatting
X-Git-Url: https://git.piment-noir.org/?a=commitdiff_plain;h=64eb1aceb6191b3666a9c828e47699b3b01a0686;p=freqai-strategies.git

refactor(qav3): code reformatting

Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>
---

diff --git a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
index c095527..eeef89f 100644
--- a/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/LightGBMRegressorQuickAdapterV35.py
@@ -70,9 +70,9 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel):
             )
             self.freqai_info["feature_parameters"][pair] = {}
             self.freqai_info["feature_parameters"][pair]["label_period_candles"] = (
-                self.__optuna_period_params[
-                    pair
-                ].get("label_period_candles", self.ft_params["label_period_candles"])
+                self.__optuna_period_params[pair].get(
+                    "label_period_candles", self.ft_params["label_period_candles"]
+                )
             )
 
     def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any:
@@ -230,9 +230,9 @@ class LightGBMRegressorQuickAdapterV35(BaseRegressionModel):
         dk.data["extra_returns_per_train"]["DI_cutoff"] = cutoff
 
         dk.data["extra_returns_per_train"]["label_period_candles"] = (
-            self.__optuna_period_params.get(
-                pair, {}
-            ).get("label_period_candles", self.ft_params["label_period_candles"])
+            self.__optuna_period_params.get(pair, {}).get(
+                "label_period_candles", self.ft_params["label_period_candles"]
+            )
         )
         dk.data["extra_returns_per_train"]["hp_rmse"] = self.__optuna_hp_rmse.get(
             pair, -1
diff --git a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
index 076b40e..3936076 100644
--- a/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
+++ b/quickadapter/user_data/freqaimodels/XGBoostRegressorQuickAdapterV35.py
@@ -70,9 +70,9 @@ class XGBoostRegressorQuickAdapterV35(BaseRegressionModel):
             )
             self.freqai_info["feature_parameters"][pair] = {}
             self.freqai_info["feature_parameters"][pair]["label_period_candles"] = (
-                self.__optuna_period_params[
-                    pair
-                ].get("label_period_candles", self.ft_params["label_period_candles"])
+                self.__optuna_period_params[pair].get(
+                    "label_period_candles", self.ft_params["label_period_candles"]
+                )
             )
 
     def fit(self, data_dictionary: Dict, dk: FreqaiDataKitchen, **kwargs) -> Any:
@@ -231,9 +231,9 @@ class XGBoostRegressorQuickAdapterV35(BaseRegressionModel):
         dk.data["extra_returns_per_train"]["DI_cutoff"] = cutoff
 
         dk.data["extra_returns_per_train"]["label_period_candles"] = (
-            self.__optuna_period_params.get(
-                pair, {}
-            ).get("label_period_candles", self.ft_params["label_period_candles"])
+            self.__optuna_period_params.get(pair, {}).get(
+                "label_period_candles", self.ft_params["label_period_candles"]
+            )
         )
         dk.data["extra_returns_per_train"]["hp_rmse"] = self.__optuna_hp_rmse.get(
             pair, -1