fix test, linting, and vector_store folder

src/backend/langflow/graph/graph.py

@@ -27,7 +27,7 @@ from langflow.interface.text_splitters.base import textsplitter_creator
 from langflow.interface.toolkits.base import toolkits_creator
 from langflow.interface.tools.base import tool_creator
 from langflow.interface.tools.constants import FILE_TOOLS
-from langflow.interface.vectorstore.base import vectorstore_creator
+from langflow.interface.vector_store.base import vectorstore_creator
 from langflow.interface.wrappers.base import wrapper_creator
 from langflow.utils import payload
 

src/backend/langflow/interface/base.py

@@ -1,10 +1,10 @@
 from abc import ABC, abstractmethod
 from typing import Any, Dict, List, Optional, Type, Union
-from langflow.utils.logger import logger
 
 from pydantic import BaseModel
 
 from langflow.template.base import FrontendNode, Template, TemplateField
+from langflow.utils.logger import logger
 
 # Assuming necessary imports for Field, Template, and FrontendNode classes
 

src/backend/langflow/interface/chains/base.py

@@ -5,8 +5,8 @@ from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.custom_lists import chain_type_to_cls_dict
 from langflow.settings import settings
 from langflow.template.nodes import ChainFrontendNode
-from langflow.utils.util import build_template_from_class
 from langflow.utils.logger import logger
+from langflow.utils.util import build_template_from_class
 
 # Assuming necessary imports for Field, Template, and FrontendNode classes
 

src/backend/langflow/interface/document_loaders/base.py

@@ -3,8 +3,8 @@ from typing import Dict, List, Optional
 from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.custom_lists import documentloaders_type_to_cls_dict
 from langflow.settings import settings
-from langflow.utils.util import build_template_from_class
 from langflow.utils.logger import logger
+from langflow.utils.util import build_template_from_class
 
 
 def build_file_path_template(

src/backend/langflow/interface/embeddings/base.py

@@ -3,8 +3,8 @@ from typing import Dict, List, Optional
 from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.custom_lists import embedding_type_to_cls_dict
 from langflow.settings import settings
-from langflow.utils.util import build_template_from_class
 from langflow.utils.logger import logger
+from langflow.utils.util import build_template_from_class
 
 
 class EmbeddingCreator(LangChainTypeCreator):

src/backend/langflow/interface/listing.py

@@ -8,7 +8,7 @@ from langflow.interface.prompts.base import prompt_creator
 from langflow.interface.text_splitters.base import textsplitter_creator
 from langflow.interface.toolkits.base import toolkits_creator
 from langflow.interface.tools.base import tool_creator
-from langflow.interface.vectorstore.base import vectorstore_creator
+from langflow.interface.vector_store.base import vectorstore_creator
 from langflow.interface.wrappers.base import wrapper_creator
 
 

src/backend/langflow/interface/llms/base.py

@@ -4,8 +4,8 @@ from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.custom_lists import llm_type_to_cls_dict
 from langflow.settings import settings
 from langflow.template.nodes import LLMFrontendNode
-from langflow.utils.util import build_template_from_class
 from langflow.utils.logger import logger
+from langflow.utils.util import build_template_from_class
 
 
 class LLMCreator(LangChainTypeCreator):

src/backend/langflow/interface/prompts/base.py

@@ -7,8 +7,8 @@ from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.importing.utils import import_class
 from langflow.settings import settings
 from langflow.template.nodes import PromptFrontendNode
-from langflow.utils.util import build_template_from_class
 from langflow.utils.logger import logger
+from langflow.utils.util import build_template_from_class
 
 
 class PromptCreator(LangChainTypeCreator):

src/backend/langflow/interface/toolkits/base.py

@@ -5,8 +5,8 @@ from langchain.agents import agent_toolkits
 from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.importing.utils import import_class, import_module
 from langflow.settings import settings
-from langflow.utils.util import build_template_from_class
 from langflow.utils.logger import logger
+from langflow.utils.util import build_template_from_class
 
 
 class ToolkitCreator(LangChainTypeCreator):

src/backend/langflow/interface/types.py

@@ -8,7 +8,7 @@ from langflow.interface.prompts.base import prompt_creator
 from langflow.interface.text_splitters.base import textsplitter_creator
 from langflow.interface.toolkits.base import toolkits_creator
 from langflow.interface.tools.base import tool_creator
-from langflow.interface.vectorstore.base import vectorstore_creator
+from langflow.interface.vector_store.base import vectorstore_creator
 from langflow.interface.wrappers.base import wrapper_creator
 
 

src/backend/langflow/interface/vector_store/base.py

@@ -3,8 +3,8 @@ from typing import Dict, List, Optional
 from langflow.interface.base import LangChainTypeCreator
 from langflow.interface.custom_lists import vectorstores_type_to_cls_dict
 from langflow.settings import settings
-from langflow.utils.util import build_template_from_class
 from langflow.utils.logger import logger
+from langflow.utils.util import build_template_from_class
 
 
 class VectorstoreCreator(LangChainTypeCreator):

src/backend/langflow/interface/wrappers/base.py

@@ -3,8 +3,8 @@ from typing import Dict, List, Optional
 from langchain import requests
 
 from langflow.interface.base import LangChainTypeCreator
-from langflow.utils.util import build_template_from_class
 from langflow.utils.logger import logger
+from langflow.utils.util import build_template_from_class
 
 
 class WrapperCreator(LangChainTypeCreator):

tests/test_llms_template.py

@@ -440,7 +440,7 @@ def test_chat_open_ai(client: TestClient):
     assert template["_type"] == "ChatOpenAI"
     assert (
         model["description"]
-        == "Wrapper around OpenAI Chat large language models.To use, you should have the ``openai`` python package installed, and theenvironment variable ``OPENAI_API_KEY`` set with your API key.Any parameters that are valid to be passed to the openai.create call can be passedin, even if not explicitly saved on this class."  # noqa E501
+        == "Wrapper around OpenAI Chat large language models."  # noqa E501
     )
     assert set(model["base_classes"]) == {
         "BaseChatModel",