]> Piment Noir Git Repositories - freqai-strategies.git/commitdiff
refactor(qav3): trivial code cleanups
authorJérôme Benoit <jerome.benoit@piment-noir.org>
Sat, 19 Jul 2025 19:13:52 +0000 (21:13 +0200)
committerJérôme Benoit <jerome.benoit@piment-noir.org>
Sat, 19 Jul 2025 19:13:52 +0000 (21:13 +0200)
Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>
quickadapter/user_data/freqaimodels/QuickAdapterRegressorV3.py
quickadapter/user_data/strategies/QuickAdapterV3.py

index 3da8560b74141f05d5da57fe7f8b9919ff3d1def..acc7eff3c33bf1a1d77417edb40c3a73cc502389 100644 (file)
@@ -105,7 +105,7 @@ class QuickAdapterRegressorV3(BaseRegressionModel):
                 "FreqAI model requires StaticPairList method defined in pairlists configuration and 'pair_whitelist' defined in exchange section configuration"
             )
         if (
-            self.freqai_info.get("identifier") is None
+            not isinstance(self.freqai_info.get("identifier"), str)
             or self.freqai_info.get("identifier").strip() == ""
         ):
             raise ValueError(
index e4c7b42de329507ab1bc3258c54a2af11adc9262..b2ddb1574b779ba2a6961265be480e8c89443902 100644 (file)
@@ -169,7 +169,7 @@ class QuickAdapterV3(IStrategy):
                 "FreqAI strategy requires StaticPairList method defined in pairlists configuration and 'pair_whitelist' defined in exchange section configuration"
             )
         if (
-            self.freqai_info.get("identifier") is None
+            not isinstance(self.freqai_info.get("identifier"), str)
             or self.freqai_info.get("identifier").strip() == ""
         ):
             raise ValueError(
@@ -755,7 +755,6 @@ class QuickAdapterV3(IStrategy):
         df, _ = self.dp.get_analyzed_dataframe(
             pair=pair, timeframe=self.config.get("timeframe")
         )
-
         if df.empty:
             return None
 
@@ -781,7 +780,6 @@ class QuickAdapterV3(IStrategy):
         df, _ = self.dp.get_analyzed_dataframe(
             pair=pair, timeframe=self.config.get("timeframe")
         )
-
         if df.empty:
             return None