Update langflow components and constants to improve functionality, error handling, and user experience. This includes fixing rendering issues in dropdownComponent and improving value handling in tableNodeCellRender. The MonitorService now supports read-only mode in the exec_query method. The APIRequestComponent has been enhanced to parse curl commands and update the build configuration accordingly. The URLComponent now includes metadata in the returned data objects. Additionally, the SessionView and MessagesPage components have been updated to sort columns using the messagesSorter utility function, ensuring consistent column ordering. The unused Tabs component has been removed from FlowLogsModal. The CHAT_FIRST_INITIAL_TEXT and CHAT_SECOND_INITIAL_TEXT constants have been updated. Lastly, the error message in the Vertex class of base.py has been improved for building Components. These changes enhance the overall performance, functionality, and clarity of the codebase.
198 lines
6.7 KiB
Python
198 lines
6.7 KiB
Python
import os
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from pathlib import Path
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from unittest.mock import Mock, patch
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import httpx
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import pytest
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import respx
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from dictdiffer import diff
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from httpx import Response
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from langflow.components import data
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@pytest.fixture
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def api_request():
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# This fixture provides an instance of APIRequest for each test case
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return data.APIRequestComponent()
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@pytest.mark.asyncio
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@respx.mock
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async def test_successful_get_request(api_request):
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# Mocking a successful GET request
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url = "https://example.com/api/test"
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method = "GET"
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mock_response = {"success": True}
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respx.get(url).mock(return_value=Response(200, json=mock_response))
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# Making the request
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result = await api_request.make_request(client=httpx.AsyncClient(), method=method, url=url)
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# Assertions
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assert result.data["status_code"] == 200
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assert result.data["result"] == mock_response
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def test_parse_curl(api_request):
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# Arrange
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field_value = (
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"curl -X GET https://example.com/api/test -H 'Content-Type: application/json' -d '{\"key\": \"value\"}'"
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)
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build_config = {
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"method": {"value": ""},
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"urls": {"value": []},
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"headers": {},
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"body": {},
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}
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# Act
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new_build_config = api_request.parse_curl(field_value, build_config.copy())
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# Assert
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assert new_build_config["method"]["value"] == "GET"
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assert new_build_config["urls"]["value"] == ["https://example.com/api/test"]
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assert new_build_config["headers"]["value"] == {"Content-Type": "application/json"}
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assert new_build_config["body"]["value"] == {"key": "value"}
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@pytest.mark.asyncio
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@respx.mock
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async def test_failed_request(api_request):
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# Mocking a failed GET request
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url = "https://example.com/api/test"
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method = "GET"
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respx.get(url).mock(return_value=Response(404))
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# Making the request
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result = await api_request.make_request(client=httpx.AsyncClient(), method=method, url=url)
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# Assertions
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assert result.data["status_code"] == 404
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@pytest.mark.asyncio
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@respx.mock
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async def test_timeout(api_request):
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# Mocking a timeout
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url = "https://example.com/api/timeout"
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method = "GET"
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respx.get(url).mock(side_effect=httpx.TimeoutException(message="Timeout", request=None))
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# Making the request
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result = await api_request.make_request(client=httpx.AsyncClient(), method=method, url=url, timeout=1)
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# Assertions
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assert result.data["status_code"] == 408
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assert result.data["error"] == "Request timed out"
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@pytest.mark.asyncio
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@respx.mock
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async def test_build_with_multiple_urls(api_request):
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# This test depends on having a working internet connection and accessible URLs
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# It's better to mock these requests using respx or a similar library
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# Setup for multiple URLs
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method = "GET"
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urls = ["https://example.com/api/one", "https://example.com/api/two"]
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# You would mock these requests similarly to the single request tests
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for url in urls:
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respx.get(url).mock(return_value=Response(200, json={"success": True}))
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# Do I have to mock the async client?
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#
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# Execute the build method
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api_request.set_attributes(
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{
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"method": method,
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"urls": urls,
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}
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)
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results = await api_request.make_requests()
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# Assertions
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assert len(results) == len(urls)
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@patch("langflow.components.data.Directory.parallel_load_data")
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@patch("langflow.components.data.Directory.retrieve_file_paths")
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@patch("langflow.components.data.DirectoryComponent.resolve_path")
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def test_directory_component_build_with_multithreading(
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mock_resolve_path, mock_retrieve_file_paths, mock_parallel_load_data
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):
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# Arrange
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directory_component = data.DirectoryComponent()
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path = os.path.dirname(os.path.abspath(__file__))
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depth = 1
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max_concurrency = 2
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load_hidden = False
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recursive = True
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silent_errors = False
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use_multithreading = True
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mock_resolve_path.return_value = path
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mock_retrieve_file_paths.return_value = [
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os.path.join(path, file) for file in os.listdir(path) if file.endswith(".py")
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]
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mock_parallel_load_data.return_value = [Mock()]
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# Act
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directory_component.set_attributes(
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{
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"path": path,
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"depth": depth,
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"max_concurrency": max_concurrency,
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"load_hidden": load_hidden,
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"recursive": recursive,
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"silent_errors": silent_errors,
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"use_multithreading": use_multithreading,
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}
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)
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directory_component.load_directory()
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# Assert
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mock_resolve_path.assert_called_once_with(path)
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mock_retrieve_file_paths.assert_called_once_with(path, load_hidden, recursive, depth)
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mock_parallel_load_data.assert_called_once_with(
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mock_retrieve_file_paths.return_value, silent_errors, max_concurrency
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)
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def test_directory_without_mocks():
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directory_component = data.DirectoryComponent()
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from langflow.initial_setup import setup
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from langflow.initial_setup.setup import load_starter_projects
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_, projects = zip(*load_starter_projects())
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# the setup module has a folder where the projects are stored
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# the contents of that folder are in the projects variable
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# the directory component can be used to load the projects
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# and we can validate if the contents are the same as the projects variable
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setup_path = Path(setup.__file__).parent / "starter_projects"
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directory_component.set_attributes({"path": str(setup_path), "use_multithreading": False})
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results = directory_component.load_directory()
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assert len(results) == len(projects)
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# each result is a Data that contains the content attribute
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# each are dict that are exactly the same as one of the projects
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for i, result in enumerate(results):
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assert result.text in projects, list(diff(result.text, projects[i]))
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# in ../docs/docs/components there are many mdx files
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# check if the directory component can load them
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# just check if the number of results is the same as the number of files
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directory_component = data.DirectoryComponent()
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docs_path = Path(__file__).parent.parent / "docs" / "docs" / "components"
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directory_component.set_attributes({"path": str(docs_path), "use_multithreading": False})
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results = directory_component.load_directory()
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docs_files = list(docs_path.glob("*.mdx"))
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assert len(results) == len(docs_files)
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def test_url_component():
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url_component = data.URLComponent()
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url_component.set_attributes({"urls": ["https://langflow.org"]})
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# the url component can be used to load the contents of a website
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_data = url_component.fetch_content()
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assert all(value.data for value in _data)
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assert all(value.content for value in _data)
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assert all(value.source for value in _data)
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