perf: ⚡️ Speed up convert_kwargs() by 9% in src/backend/base/langflow/interface/initialize/loading.py (#2529)

* refactor(base.py): refactor logic to find start_component_id based on multiple keywords for improved flexibility and readability

* feat(schema.py): add WebhookInput component type to INPUT_COMPONENTS list for handling webhook inputs in the graph schema

* refactor(base.py): refactor logic to determine start_component_id based on webhook or chat component presence in input vertices

* refactor: prioritize webhook component for determining start_component_id

* ⚡️ Speed up convert_kwargs() by 9%
To optimize the given Python program, we can focus on a few key areas.

1. **Avoid Repeated Lookups:** Instead of repeatedly looking up keys and values in the dictionary, we can iterate over items directly.
2. **Efficient JSON Parsing:** Using `orjson` is already a good choice for performance. We will handle the exception based on `orjson` capabilities.
3. **In-place Modification:** We can modify the dictionary in place without creating additional lists.

Here is the optimized program.



### Changes Made.

1. **Direct Looping:** We iterate directly over `params.items()` to process keys and values together, which helps avoid multiple lookups.
2. **Exception Handling:** We catch `orjson.JSONDecodeError` directly, avoiding unnecessary import and potential mismatches.
3. **Deferred Removal:** We collect keys to remove in `items_to_remove` and then remove them outside the loop, which helps avoid modification issues during iteration.

This should result in more efficient iteration and handling while reducing overhead from unnecessary operations.

* [autofix.ci] apply automated fixes

---------

Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

src/backend/base/langflow/interface/initialize/loading.py

@@ -1,5 +1,4 @@
 import inspect
-import json
 import os
 import warnings
 from typing import TYPE_CHECKING, Any, Type
@@ -59,7 +58,10 @@ async def build_component_and_get_results(
     # Remove code from params
     class_object: Type["CustomComponent" | "Component"] = eval_custom_component_code(params_copy.pop("code"))
     custom_component: "CustomComponent" | "Component" = class_object(
-        user_id=user_id, parameters=params_copy, vertex=vertex, tracing_service=tracing_service
+        user_id=user_id,
+        parameters=params_copy,
+        vertex=vertex,
+        tracing_service=tracing_service,
     )
     params_copy = update_params_with_load_from_db_fields(
         custom_component, params_copy, vertex.load_from_db_fields, fallback_to_env_vars
@@ -84,22 +86,28 @@ def convert_params_to_sets(params):
 
 
 def convert_kwargs(params):
-    # if *kwargs are passed as a string, convert to dict
-    # first find any key that has kwargs or config in it
-    kwargs_keys = [key for key in params.keys() if "kwargs" in key or "config" in key]
-    for key in kwargs_keys:
-        if isinstance(params[key], str):
-            try:
-                params[key] = orjson.loads(params[key])
-            except json.JSONDecodeError:
-                # if the string is not a valid json string, we will
-                # remove the key from the params
-                params.pop(key, None)
+    # Loop through items to avoid repeated lookups
+    items_to_remove = []
+    for key, value in params.items():
+        if "kwargs" in key or "config" in key:
+            if isinstance(value, str):
+                try:
+                    params[key] = orjson.loads(value)
+                except orjson.JSONDecodeError:
+                    items_to_remove.append(key)
+
+    # Remove invalid keys outside the loop to avoid modifying dict during iteration
+    for key in items_to_remove:
+        params.pop(key, None)
+
     return params
 
 
 def update_params_with_load_from_db_fields(
-    custom_component: "CustomComponent", params, load_from_db_fields, fallback_to_env_vars=False
+    custom_component: "CustomComponent",
+    params,
+    load_from_db_fields,
+    fallback_to_env_vars=False,
 ):
     # For each field in load_from_db_fields, we will check if it's in the params
     # and if it is, we will get the value from the custom_component.keys(name)