refactor: Speed up function _serialize_series by 234% in PR #6044 (…

…`refactor-serialization`) (#6079)

* feat: Implement serialization functions for various data types and add a unified serialize method

* optmize conditional

Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>

* fix: Update string and list truncation to include ellipsis for clarity

* ⚡️ Speed up function `_serialize_series` by 234% in PR #6044 (`refactor-serialization`)
Certainly! Here is a more optimized version of the program.



Changes made.
1. Replaced the `apply` method with dictionary comprehension. This avoids creating an intermediate Series, which can be an expensive operation.
2. Moved `_truncate_value` outside of the main function to keep the main function concise and focused.

* refactor: Remove unused `_truncate_value` function from serialization module

---------

Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>

src/backend/base/langflow/serialization/serialization.py

@@ -128,8 +128,7 @@ def _serialize_series(obj: pd.Series, max_length: int | None, max_items: int | N
     """Serialize pandas Series to a dictionary format."""
     if max_items is not None and len(obj) > max_items:
         obj = obj.head(max_items)
-    obj = obj.apply(lambda x: _truncate_value(x, max_length, max_items))
-    return obj.to_dict()
+    return {index: _truncate_value(value, max_length, max_items) for index, value in obj.items()}
 
 
 def _is_numpy_type(obj: Any) -> bool: