fix: Refactor a few more components to proper folders (#8324)

* fix: Refactor a few more components to proper folders

* Rename action for load files

* [autofix.ci] apply automated fixes

* Update tests for new naming

* Update video_file.py

* Update video_file.py

* Update video_file.py

* Update test_batch_run_component.py

* Move unit tests

* Update test_structured_output_component.py

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Yuqi Tang <yuqi.tang@datastax.com>

src/backend/tests/unit/components/processing/test_batch_run_component.py

@@ -1,7 +1,7 @@
 import re
 
 import pytest
-from langflow.components.helpers.batch_run import BatchRunComponent
+from langflow.components.processing.batch_run import BatchRunComponent
 from langflow.schema import DataFrame
 
 from tests.base import ComponentTestBaseWithoutClient

src/backend/tests/unit/components/processing/test_structured_output_component.py

@@ -5,7 +5,7 @@ from unittest.mock import patch
 import openai
 import pytest
 from langchain_openai import ChatOpenAI
-from langflow.components.helpers.structured_output import StructuredOutputComponent
+from langflow.components.processing.structured_output import StructuredOutputComponent
 from langflow.helpers.base_model import build_model_from_schema
 from langflow.inputs.inputs import TableInput
 from pydantic import BaseModel
@@ -53,7 +53,7 @@ class TestStructuredOutputComponent(ComponentTestBaseWithoutClient):
             system_prompt="Test system prompt",
         )
 
-        with patch("langflow.components.helpers.structured_output.get_chat_result", mock_get_chat_result):
+        with patch("langflow.components.processing.structured_output.get_chat_result", mock_get_chat_result):
             result = component.build_structured_output_base()
             assert isinstance(result, list)
             assert result == [{"field": "value"}]
@@ -174,7 +174,7 @@ class TestStructuredOutputComponent(ComponentTestBaseWithoutClient):
         with pytest.raises(ValueError, match="Invalid type: invalid_type"):
             component.build_structured_output()
 
-    @patch("langflow.components.helpers.structured_output.get_chat_result")
+    @patch("langflow.components.processing.structured_output.get_chat_result")
     def test_nested_output_schema(self, mock_get_chat_result):
         class ChildModel(BaseModel):
             child: str = "value"
@@ -208,7 +208,7 @@ class TestStructuredOutputComponent(ComponentTestBaseWithoutClient):
         assert isinstance(result, list)
         assert result == [{"parent": {"child": "value"}}]
 
-    @patch("langflow.components.helpers.structured_output.get_chat_result")
+    @patch("langflow.components.processing.structured_output.get_chat_result")
     def test_large_input_value(self, mock_get_chat_result):
         large_input = "Test input " * 1000
 

src/backend/tests/unit/initial_setup/starter_projects/test_vector_store_rag.py

@@ -24,7 +24,7 @@ def ingestion_graph():
     file_component.set(path="test.txt")
     file_component.set_on_output(name="dataframe", value=Data(text="This is a test file."), cache=True)
     text_splitter = SplitTextComponent(_id="text-splitter-123")
-    text_splitter.set(data_inputs=file_component.load_dataframe)
+    text_splitter.set(data_inputs=file_component.load_files)
     openai_embeddings = OpenAIEmbeddingsComponent(_id="openai-embeddings-123")
     openai_embeddings.set(
         openai_api_key="sk-123", openai_api_base="https://api.openai.com/v1", openai_api_type="openai"