Bolt.new AI and RescueTime integration: Step-by-Step Guide 2025

 

Step 1: Creating the RescueTime Integration File

  Create a new file in your project named rescueTime.ts in your source folder (for example, in the same directory as your main code file). This file will contain the functions to fetch data from the RescueTime API.

export interface RescueTimeData {
  // Add properties here as defined by the RescueTime API response.
  // For example:
  rows: any[];
  // You can add more fields based on your needs.
}

export async function fetchRescueTimeData(apiKey: string): Promise<RescueTimeData> {
  const baseURL = "https://www.rescuetime.com/anapi/data";
  // Construct query parameters.
  const params = new URLSearchParams({
    key: apiKey,
    // Specify a format and any additional parameters as required by RescueTime.
    format: "json"
    // You can add more parameters here (e.g., perspective, resolutiontime, restrictbegin, restrict_end, etc.)
  });

  const response = await fetch(${baseURL}?${params.toString()});

  if (!response.ok) {
    throw new Error(Error fetching RescueTime data: ${response.statusText});
  }
  
  const data = await response.json();
  return data;
}

 

Step 2: Integrating RescueTime Data in Your Main Code

  Open your main TypeScript file (for example, index.ts or the main project file for Bolt.new AI). Insert the following code snippet where you would like to call and integrate the RescueTime data. This snippet imports the function from your newly created rescueTime.ts file, invokes it using your RescueTime API key, and handles the result.

import { fetchRescueTimeData } from "./rescueTime";

// Replace "YOURRESCUETIMEAPI_KEY" with your actual RescueTime API key.
// You can also choose to use an environment variable if you prefer.
const RESCUETIMEAPIKEY = "YOURRESCUETIMEAPIKEY";

async function integrateRescueTime() {
  try {
    const data = await fetchRescueTimeData(RESCUETIMEAPI_KEY);
    console.log("RescueTime Data:", data);
    // Process and integrate the fetched data with your Bolt.new AI application as needed.
    // For example, update your application's UI or trigger further logic.
  } catch (error) {
    console.error("Failed to fetch RescueTime data:", error);
  }
}

// Call this function at an appropriate point in your application startup.
integrateRescueTime();

 

Step 3: Handling Dependencies Without a Terminal

  Since Bolt.new AI does not provide a terminal, you need to include any dependencies via code rather than installation commands. The example above uses the built-in fetch function, which is available in modern browsers and many environments. If you require additional libraries (for example, if you need to polyfill fetch in a Node.js environment), you can include them by:

// In environments that lack a native fetch implementation, you could dynamically load a polyfill as follows.

if (typeof fetch === "undefined") {
  // Example of dynamically importing the 'node-fetch' library.
  import("node-fetch").then(module => {
    // @ts-ignore
    global.fetch = module.default;
  });
}

Place this polyfill snippet near the top of your main file so that the fetch function is available when calling the RescueTime API.

 

Step 4: Testing and Finalizing the Integration

  After adding the code snippets:

// Ensure all your changes are saved.

When your Bolt.new AI project runs, it will execute the integrateRescueTime function, which calls the RescueTime API and logs the result. Monitor the console output for your API data or any error messages. Adjust the code and query parameters as needed based on the RescueTime API documentation and the needs of your application.