formatting

src/backend/langflow/cache/base.py

@@ -8,12 +8,10 @@ import os
 import tempfile
 from collections import OrderedDict
 from pathlib import Path
-from typing import Any
-from PIL import Image
-import dill
-import pandas as pd  # type: ignore
+from typing import Any, Dict
+import dill  # type: ignore
 
-CACHE = {}
+CACHE: Dict[str, Any] = {}
 
 
 def create_cache_folder(func):

src/backend/langflow/graph/base.py

@@ -162,7 +162,8 @@ class Node:
                 # If the key is "func", then we need to use the run method
                 if key == "func":
                     if not isinstance(result, types.FunctionType):
-                        # func can be PythonFunction(code='\ndef upper_case(text: str) -> str:\n    return text.upper()\n')
+                        # func can be
+                        # PythonFunction(code='\ndef upper_case(text: str) -> str:\n    return text.upper()\n')
                         # so we need to check if there is an attribute called run
                         if hasattr(result, "run"):
                             result = result.run  # type: ignore

src/backend/langflow/template/base.py

@@ -229,10 +229,6 @@ class FrontendNode(BaseModel):
             field.required = False
             if field.value is None:
                 field.value = ""
-        # If the field.name contains api or api and key, then it might be an api key
-        # other conditions are to make sure that it is not an input or output variable
-        if "api" in key.lower() and "key" in key.lower():
-            field.required = False
 
         if "kwargs" in field.name.lower():
             field.advanced = True