fix(api/core/model_manager.py): Avoid mutation during iteration. (#6536)

api/core/model_manager.py

         self._model = model
         self._load_balancing_configs = load_balancing_configs
 
-        for load_balancing_config in self._load_balancing_configs:
+        for load_balancing_config in self._load_balancing_configs[:]:  # Iterate over a shallow copy of the list
             if load_balancing_config.name == "__inherit__":
                 if not managed_credentials:
-                    # FIXME: Mutation to loop iterable `self._load_balancing_configs` during iteration
                     # remove __inherit__ if managed credentials is not provided
                     self._load_balancing_configs.remove(load_balancing_config)
                 else:

api/core/rag/datasource/keyword/keyword_base.py

         raise NotImplementedError
 
     def _filter_duplicate_texts(self, texts: list[Document]) -> list[Document]:
-        for text in texts:
+        for text in texts[:]:
             doc_id = text.metadata['doc_id']
             exists_duplicate_node = self.text_exists(doc_id)
             if exists_duplicate_node:
-                # FIXME: Mutation to loop iterable `texts` during iteration
                 texts.remove(text)
 
         return texts

api/core/rag/datasource/vdb/vector_base.py

         raise NotImplementedError
 
     def _filter_duplicate_texts(self, texts: list[Document]) -> list[Document]:
-        for text in texts:
+        for text in texts[:]:
             doc_id = text.metadata['doc_id']
             exists_duplicate_node = self.text_exists(doc_id)
             if exists_duplicate_node:
-                # FIXME: Mutation to loop iterable `texts` during iteration
                 texts.remove(text)
 
         return texts

api/core/rag/datasource/vdb/vector_factory.py

         return CacheEmbedding(embedding_model)
 
     def _filter_duplicate_texts(self, texts: list[Document]) -> list[Document]:
-        for text in texts:
+        for text in texts[:]:
             doc_id = text.metadata['doc_id']
             exists_duplicate_node = self.text_exists(doc_id)
             if exists_duplicate_node:
-                # FIXME: Mutation to loop iterable `texts` during iteration
                 texts.remove(text)
 
         return texts

api/services/model_load_balancing_service.py

                 load_balancing_configs.insert(0, inherit_config)
             else:
                 # move the inherit configuration to the first
-                for i, load_balancing_config in enumerate(load_balancing_configs):
+                for i, load_balancing_config in enumerate(load_balancing_configs[:]):
                     if load_balancing_config.name == '__inherit__':
-                        # FIXME: Mutation to loop iterable `load_balancing_configs` during iteration
                         inherit_config = load_balancing_configs.pop(i)
                         load_balancing_configs.insert(0, inherit_config)