From 2bd51c61041a98e6a697afd9f0f4bfbd4a9f822c Mon Sep 17 00:00:00 2001
From: Gabriel Luiz Freitas Almeida <gabriel@logspace.ai>
Date: Fri, 16 Jun 2023 14:31:16 -0300
Subject: [PATCH] =?UTF-8?q?=F0=9F=94=A5=20refactor(utils.py):=20remove=20u?=
 =?UTF-8?q?nused=20functions=20save=5Fcache=20and=20load=5Fcache=20The=20f?=
 =?UTF-8?q?unctions=20save=5Fcache=20and=20load=5Fcache=20are=20not=20used?=
 =?UTF-8?q?=20in=20the=20codebase=20and=20can=20be=20safely=20removed=20to?=
 =?UTF-8?q?=20improve=20code=20readability=20and=20maintainability.?=
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---
 src/backend/langflow/cache/utils.py   | 20 --------------------
 src/backend/langflow/interface/run.py | 16 +---------------
 2 files changed, 1 insertion(+), 35 deletions(-)

diff --git a/src/backend/langflow/cache/utils.py b/src/backend/langflow/cache/utils.py
index 0f1ff5d92..6058f6923 100644
--- a/src/backend/langflow/cache/utils.py
+++ b/src/backend/langflow/cache/utils.py
@@ -9,7 +9,6 @@ from collections import OrderedDict
 from pathlib import Path
 from typing import Any, Dict
 
-import dill  # type: ignore
 
 CACHE: Dict[str, Any] = {}
 
@@ -133,22 +132,3 @@ def save_binary_file(content: str, file_name: str, accepted_types: list[str]) ->
         file.write(decoded_bytes)
 
     return file_path
-
-
-@create_cache_folder
-def save_cache(hash_val: str, chat_data, clean_old_cache_files: bool):
-    cache_path = Path(tempfile.gettempdir()) / PREFIX / f"{hash_val}.dill"
-    with cache_path.open("wb") as cache_file:
-        dill.dump(chat_data, cache_file)
-
-    if clean_old_cache_files:
-        clear_old_cache_files()
-
-
-@create_cache_folder
-def load_cache(hash_val):
-    cache_path = Path(tempfile.gettempdir()) / PREFIX / f"{hash_val}.dill"
-    if cache_path.exists():
-        with cache_path.open("rb") as cache_file:
-            return dill.load(cache_file)
-    return None
diff --git a/src/backend/langflow/interface/run.py b/src/backend/langflow/interface/run.py
index 6fe4c089b..a3efe2b0c 100644
--- a/src/backend/langflow/interface/run.py
+++ b/src/backend/langflow/interface/run.py
@@ -1,22 +1,8 @@
-from langflow.cache.utils import compute_dict_hash, load_cache, memoize_dict
+from langflow.cache.utils import memoize_dict
 from langflow.graph import Graph
 from langflow.utils.logger import logger
 
 
-def load_langchain_object(data_graph, is_first_message=False):
-    """
-    Load langchain object from cache if it exists, otherwise build it.
-    """
-    computed_hash = compute_dict_hash(data_graph)
-    if is_first_message:
-        langchain_object = build_langchain_object(data_graph)
-    else:
-        logger.debug("Loading langchain object from cache")
-        langchain_object = load_cache(computed_hash)
-
-    return computed_hash, langchain_object
-
-
 @memoize_dict(maxsize=10)
 def build_langchain_object_with_caching(data_graph):
     """