APP

Step 1: Add the Code Analysis Logic

First, make sure you have set up the language model API as discussed earlier. You'll need the code to send requests to the AI model and receive the improved code. Modify your extension's activate function to include the code analysis logic. Replace the existing activate function with the following code:

const vscode = require('vscode');

const axios = require('axios');

function activate(context) {

console.log('Congratulations, your extension "appdrew" is now active!');

let disposable = vscode.commands.registerCommand('appdrew.improveCode', async function () {

const editor = vscode.window.activeTextEditor;

if (!editor) {

return;

}

const code = editor.document.getText();

try {

// Replace 'https://your-ai-model-api-endpoint.com/analyze' with the actual AI model API endpoint

const modelEndpoint = 'https://your-ai-model-api-endpoint.com/analyze';

const payload = {

code,

};

const response = await axios.post(modelEndpoint, payload);

const improvedCode = response.data.improvedCode;

if (improvedCode) {

editor.edit((editBuilder) => {

const documentRange = new vscode.Range(

editor.document.positionAt(0),

editor.document.positionAt(code.length)

);

editBuilder.replace(documentRange, improvedCode);

});

vscode.window.showInformationMessage('Code improved successfully!');

} else {

vscode.window.showErrorMessage('Failed to improve the code. Please check the AI model and API.');

}

} catch (error) {

console.error('Error improving code:', error.message);

vscode.window.showErrorMessage('Failed to improve the code. Please check the AI model and API.');

}

});

context.subscriptions.push(disposable);

}

function deactivate() {}

module.exports = {

activate,

deactivate

};

Please keep in mind that you'll need to have the axios library installed in your extension's node_modules folder. You can install it by running npm install axios in your extension's root directory.

Make sure you have set up your AI model and its API endpoint correctly to receive the code, analyze it, and return the improved code. Additionally, handle any potential errors or edge cases specific to your AI model's behavior or API response. Always take precautions when applying automated changes to code, especially in a production environment. Test the extension on a smaller scale before applying it to larger projects.

You can use the model orca 3b with flask api for this project.