🔨 refactor(formatter/base.py): make FieldFormatter inherit from pydantic.BaseModel for improved type checking

🔥 chore(constants.py): remove unused DEFAULT_CUSTOM_COMPONENT_CODE constant
The FieldFormatter class now inherits from pydantic.BaseModel, which allows for improved type checking and validation of the format method arguments. The unused DEFAULT_CUSTOM_COMPONENT_CODE constant has been removed to clean up the codebase.

src/backend/langflow/template/frontend_node/formatter/base.py

@@ -2,9 +2,10 @@ from abc import ABC, abstractmethod
 from typing import Optional
 
 from langflow.template.field.base import TemplateField
+from pydantic import BaseModel
 
 
-class FieldFormatter(ABC):
+class FieldFormatter(BaseModel, ABC):
     @abstractmethod
     def format(self, field: TemplateField, name: Optional[str]) -> None:
         pass

src/backend/langflow/utils/constants.py

@@ -48,24 +48,4 @@ def python_function(text: str) -> str:
     return text
 """
 
-DEFAULT_CUSTOM_COMPONENT_CODE = """
-from langchain.llms import OpenAI
-from langchain.chains import ConversationChain
-from langchain.memory import ConversationBufferMemory
-
-
-class MyPythonClass:
-    def my_conversation(self, openai_api_key):
-        llm = OpenAI(
-            openai_api_key=openai_api_key,
-            temperature=0
-        )
-        return ConversationChain(
-            llm=llm, verbose=True, memory=ConversationBufferMemory()
-        )
-
-    def build(self, openai_api_key: str) -> ConversationChain:
-        return self.my_conversation(openai_api_key)
-"""
-
 DIRECT_TYPES = ["str", "bool", "code", "int", "float", "Any", "prompt"]