How to add CSVOutput

[minhbtrc]

Hi everyone. I'm using langflow local. When creating flow, my last node in the flow is return a Dataframe, and I also see there is option for view CSV file in frontend but I don't know how to do that. Can anyone tried it give me some idea to display a CSV in frontend for better view?

[dosubot[bot]]

To display a CSV in the frontend when your flow's last node returns a DataFrame, you can use the CsvOutputComponent with AgGridReact from ag-grid-react. Here's a streamlined guide:

1. Install ag-grid-react: Ensure you have ag-grid-react and its CSS styles. Install with:

   npm install ag-grid-react ag-grid-community

   Include the CSS in your project:

   import "ag-grid-community/styles/ag-grid.css";
   import "ag-grid-community/styles/ag-theme-balham.css";

2. Convert DataFrame to JSON: The component expects CSV data in JSON format, where each JSON object represents a row and object keys are column names. Convert your DataFrame to this format.

3. Use CsvOutputComponent: This component handles the display of CSV data. It transforms the JSON to a format suitable for AgGridReact, managing grid appearance and behavior. Customize it as needed for your application's requirements.

4. Customization and Styling: Adjust the AgGridReact component's props within CsvOutputComponent for customization, such as column types, row selection, and themes.

5. Dark Mode Support: If your application uses dark mode, ensure the component's styling adapts accordingly, or adjust this feature based on your needs.

This approach provides a flexible and efficient way to display CSV data in the frontend, enhancing user experience with features like filtering and responsive design. For the complete CsvOutputComponent implementation, refer to the langflow repository.

Details

Sources

• src/frontend/src/components/csvOutputComponent/index.tsx
• src/frontend/src/components/csvOutputComponent/index.tsx
• src/frontend/src/components/csvOutputComponent/helpers/convert-data-function.ts

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[minhbtrc]

thanks @dosu, so after that, how can I define a custom node using that csvcomponent?

[minhbtrc]

Everything with Frontend is done. But I see the implementation require us define a node with type "CSVOutput", and please help me on this @dosu

[dosubot[bot]]

To define a custom node with the type "CSVOutput" that integrates with the frontend using CsvOutputComponent and AgGridReact, follow these steps:

1. Implement CsvOutputComponent: This should be a React component that renders CSV data with AgGridReact. It involves parsing CSV data into a format AgGridReact can use, and handling loading and error states.

2. Register the Custom Node in React Flow: Add your CsvOutputComponent to the React Flow configuration using the nodeTypes prop, assigning it a unique identifier, in this case, "CSVOutput".

3. Use in React Flow: When adding nodes to your React Flow instance, specify the type as "CSVOutput" for nodes that should render using your custom component.

Here's a brief example:

Implement CsvOutputComponent

// CsvOutputComponent.js
import React from 'react';
import { AgGridReact } from 'ag-grid-react';
import 'ag-grid-community/styles/ag-grid.css';
import 'ag-grid-community/styles/ag-theme-alpine.css';

const CsvOutputComponent = ({ csvData }) => {
  // Logic to parse CSV data and set grid data
  return (
    <div className="ag-theme-alpine" style={{ height: 400, width: 600 }}>
      <AgGridReact rowData={parsedRowData} columnDefs={columnDefs} />
    </div>
  );
};

Register Custom Node in React Flow

import ReactFlow, { addNodeTypes } from 'react-flow-renderer';
import CsvOutputComponent from './CsvOutputComponent';

const nodeTypes = {
  CSVOutput: CsvOutputComponent,
};

function App() {
  return <ReactFlow nodeTypes={nodeTypes} />;
}

Use in React Flow

const nodes = [
  {
    id: '1',
    type: 'CSVOutput',
    position: { x: 100, y: 100 },
    data: { csvData: 'your,csv,data' },
  },
];

This setup allows you to integrate a custom node for displaying CSV data in the frontend, enhancing the user experience with interactive and responsive data visualization.

Details

Sources

• src/frontend/src/components/csvOutputComponent/index.tsx
• src/frontend/src/components/csvOutputComponent/index.tsx
• src/frontend/src/CustomNodes/GenericNode/index.tsx

About Dosu
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

To continue the conversation, mention @dosu.

[minhbtrc]

So how can I drag that node and use it in UI? @dosu
Your implementation just in frontend and I need the backend as well.

[dosubot[bot]]

To make your "CSVOutput" node draggable in the UI and ensure it's fully functional with backend support, follow these steps:

1. Frontend - Making the Node Draggable:
   • Implement drag-and-drop functionality using react-dnd. Wrap your CsvOutputComponent with useDrag from react-dnd to make it draggable. This involves specifying a drag type, item, and collecting monitor state to adjust the component's appearance during drag operations.

import { useDrag } from 'react-dnd';

function CsvOutputComponent({ csvNode }) {
  const [{ isDragging }, drag] = useDrag(() => ({
    type: 'CSV_OUTPUT_NODE',
    item: { id: csvNode.id },
    collect: (monitor) => ({
      isDragging: !!monitor.isDragging(),
    }),
  }));

  return (
    <div ref={drag} style={{ opacity: isDragging ? 0.5 : 1 }}>
      {/* Your component content */}
    </div>
  );
}

2. Backend - Supporting the Operation:

   • Ensure your backend can handle operations initiated by the draggable component. This might include creating endpoints to process data refreshes or updates based on the drag-and-drop actions.

3. Integrating with AgGridReact:

   • Ensure that the drag-and-drop functionality does not interfere with AgGridReact operations. Handle necessary events to maintain grid state and data.

4. State Management and UI Updates:

   • Use appropriate state management techniques to reflect changes in the UI based on drag-and-drop actions. This includes re-rendering components or updating data displayed.

5. Persistence:

   • If the drag-and-drop actions should result in persistent changes, ensure these are communicated to the backend for appropriate processing and storage.

For the backend, you'll need to define a new class for the "CSVOutput" node, specifying its behavior, output types, and any custom fields relevant to CSV processing. This class should inherit from a base node class and utilize utility functions to add output types, base classes, and custom fields. Finally, register this new node type within your system to ensure it's recognized and properly managed within your application's ecosystem.

This approach ensures a seamless integration of a draggable "CSVOutput" node in your UI, backed by full support from your application's backend, enhancing both functionality and user experience.

Details

Sources

• src/frontend/src/components/csvOutputComponent/index.tsx
• src/backend/base/langflow/api/v1/endpoints.py
• src/backend/langflow/api/router.py
• src/backend/base/langflow/api/router.py
• src/frontend/src/controllers/API/index.ts
• src/backend/base/langflow/graph/graph/state_manager.py
• src/backend/base/langflow/services/state/service.py
• src/backend/base/langflow/services/state/factory.py
• src/frontend/src/stores/darkStore.tsx
• src/frontend/src/stores/flowStore.ts
• src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx
• src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx
• src/frontend/src/components/csvOutputComponent/index.tsx
• src/frontend/src/stores/flowsManagerStore.ts
• src/frontend/src/stores/flowsManagerStore.ts
• src/backend/base/langflow/legacy_custom/customs.py
• src/backend/base/langflow/interface/custom/utils.py

About Dosu
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

To continue the conversation, mention @dosu.