🔀 chore(field_typing): reorganize imports and update __all__ list for better readability and maintainability

🔥 chore(field_typing): remove unused base.py file as it is no longer needed
🔀 chore(constants): update import statements and add type aliases for better readability and maintainability

src/backend/langflow/field_typing/__init__.py

@@ -1,8 +1,53 @@
-from .base import NestedDict, Data
-from .constants import *
-
-__all__ = (
-    ["NestedDict", "Data"]
-    + list(LANGCHAIN_BASE_TYPES.keys())
-    + list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())
+# LANGCHAIN_BASE_TYPES = {
+#     "Chain": Chain,
+#     "AgentExecutor": AgentExecutor,
+#     "Tool": Tool,
+#     "BaseLLM": BaseLLM,
+#     "PromptTemplate": PromptTemplate,
+#     "BaseLoader": BaseLoader,
+#     "Document": Document,
+#     "TextSplitter": TextSplitter,
+#     "VectorStore": VectorStore,
+#     "Embeddings": Embeddings,
+#     "BaseRetriever": BaseRetriever,
+#     "BaseOutputParser": BaseOutputParser,
+#     "BaseMemory": BaseMemory,
+#     "BaseChatMemory": BaseChatMemory,
+# }
+from .constants import (
+    Tool,
+    PromptTemplate,
+    Chain,
+    BaseChatMemory,
+    BaseLLM,
+    BaseLoader,
+    BaseMemory,
+    BaseOutputParser,
+    BaseRetriever,
+    VectorStore,
+    Embeddings,
+    TextSplitter,
+    Document,
+    AgentExecutor,
+    NestedDict,
+    Data,
 )
+
+__all__ = [
+    "NestedDict",
+    "Data",
+    "Tool",
+    "PromptTemplate",
+    "Chain",
+    "BaseChatMemory",
+    "BaseLLM",
+    "BaseLoader",
+    "BaseMemory",
+    "BaseOutputParser",
+    "BaseRetriever",
+    "VectorStore",
+    "Embeddings",
+    "TextSplitter",
+    "Document",
+    "AgentExecutor",
+]

src/backend/langflow/field_typing/base.py

@@ -1,5 +0,0 @@
-from typing import Union, Dict, Any
-
-# Type alias for more complex dicts
-NestedDict = Dict[str, Union[str, Dict]]
-Data = Any

src/backend/langflow/field_typing/constants.py

@@ -10,7 +10,14 @@ from langchain.schema.memory import BaseMemory
 from langchain.text_splitter import TextSplitter
 from langchain.tools import Tool
 from langchain.vectorstores.base import VectorStore
-from langflow.field_typing import Data, NestedDict
+from typing import Union, Dict
+
+# Type alias for more complex dicts
+NestedDict = Dict[str, Union[str, Dict]]
+
+
+class Data:
+    pass
 
 
 LANGCHAIN_BASE_TYPES = {