Handling Data Intents

• First, create and initialize your Connectifi Agent using the Connectifi Agent SDK.
• Then, raise the intent by calling agent.raiseIntent with the intent name and a context.
• Once the intent is handled, await the result using getResult(), and finally, render the returned data (for example, by updating your UI).

Below is a TypeScript code example that demonstrates these steps:


import { DesktopAgent } from '@finos/fdc3';
import { createAgent } from "https://platform.connectifi.app/agent/main.bundle.js";
 
// Function to render the response data to the UI
function renderResponse(data: any): void {
    // Implement your rendering logic here; for example, updating the DOM or state
    console.log("Rendered Response:", data);
}
 
// Immediately Invoked Async Function to initialize and raise intent
(async () => {
    // Create the Agent instance from Connectifi Platform
    const agent: DesktopAgent = await createAgent('https://platform.connectifi.app', 'APP@DIRECTORY');
 
    // Define your context to be passed with the intent. Ensure it matches your application's data schema.
    const contextData = {
        type: 'fdc3.example.context',
        data: {
            id: "12345",
            name: "Sample Data"
        }
    };
 
    try {
        // Raise the intent; for instance, "YourCustomIntent" should correspond to an intent configured in your Connectifi Platform
        const intentResult = await agent.raiseIntent('YourCustomIntent', contextData);
        
        // Await the result from the intent handler
        const resultData = await intentResult.getResult();
        
        // Render the response data
        renderResponse(resultData);
    } catch (error) {
        console.error("Error while raising the intent:", error);
    }
})();

This pattern encapsulates Connectifi’s approach to inter-application communication using FDC3 APIs and ensuring that workflows can easily trigger and render responses from intents.