refactor: (codeflash)⚡️ Speed up method JSONCleaner._remove_control_characters by 1,491% (#5322)

* ⚡️ Speed up method `JSONCleaner._remove_control_characters` by 1,491%
To optimize the function `_remove_control_characters`, we can use the `translate` method with a translation table to remove control characters. This method is generally faster than using regular expressions for character replacement/removal tasks.

Here is the optimized version of the program.



By precompiling the translation table in the `__init__` method, we're reducing the repeated overhead of creating this table every time `_remove_control_characters` is called. Using `str.translate` with this precompiled table significantly improves the performance compared to using a regular expression substitution.

* add super()

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

src/backend/base/langflow/components/processing/json_cleaner.py

@@ -1,5 +1,4 @@
 import json
-import re
 import unicodedata
 
 from langflow.custom import Component
@@ -83,7 +82,7 @@ class JSONCleaner(Component):
 
     def _remove_control_characters(self, s: str) -> str:
         """Remove control characters from the string."""
-        return re.sub(r"[\x00-\x1F\x7F]", "", s)
+        return s.translate(self.translation_table)
 
     def _normalize_unicode(self, s: str) -> str:
         """Normalize Unicode characters in the string."""
@@ -97,3 +96,8 @@ class JSONCleaner(Component):
             msg = f"Invalid JSON string: {e}"
             raise ValueError(msg) from e
         return s
+
+    def __init__(self):
+        # Create a translation table that maps control characters to None
+        super().__init__()
+        self.translation_table = str.maketrans("", "", "".join(chr(i) for i in range(32)) + chr(127))