diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..16061a6 --- /dev/null +++ b/.gitignore @@ -0,0 +1,11 @@ +.DS_Store +npm-debug.log +Thumbs.db +**/node_modules/ +*/out/ +*/.vs/ +tsconfig.lsif.json +*.lsif +*.db +*.tsbuildinfo +out \ No newline at end of file diff --git a/.vscode-test.mjs b/.vscode-test.mjs new file mode 100644 index 0000000..b62ba25 --- /dev/null +++ b/.vscode-test.mjs @@ -0,0 +1,5 @@ +import { defineConfig } from '@vscode/test-cli'; + +export default defineConfig({ + files: 'out/test/**/*.test.js', +}); diff --git a/.vscode/extensions.json b/.vscode/extensions.json new file mode 100644 index 0000000..186459d --- /dev/null +++ b/.vscode/extensions.json @@ -0,0 +1,8 @@ +{ + // See http://go.microsoft.com/fwlink/?LinkId=827846 + // for the documentation about the extensions.json format + "recommendations": [ + "dbaeumer.vscode-eslint", + "ms-vscode.extension-test-runner" + ] +} diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 0000000..8880465 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,21 @@ +// A launch configuration that compiles the extension and then opens it inside a new window +// Use IntelliSense to learn about possible attributes. +// Hover to view descriptions of existing attributes. +// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Run Extension", + "type": "extensionHost", + "request": "launch", + "args": [ + "--extensionDevelopmentPath=${workspaceFolder}" + ], + "outFiles": [ + "${workspaceFolder}/out/**/*.js" + ], + "preLaunchTask": "${defaultBuildTask}" + } + ] +} diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..c307688 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,12 @@ +// Place your settings in this file to overwrite default and user settings. +{ + "files.exclude": { + "out": false // set this to true to hide the "out" folder with the compiled JS files + }, + "search.exclude": { + "out": true // set this to false to include "out" folder in search results + }, + // Turn off tsc task auto detection since we have the necessary tasks as npm scripts + "typescript.tsc.autoDetect": "off", + "r.lsp.promptToInstall": false +} diff --git a/.vscode/tasks.json b/.vscode/tasks.json new file mode 100644 index 0000000..3b17e53 --- /dev/null +++ b/.vscode/tasks.json @@ -0,0 +1,20 @@ +// See https://go.microsoft.com/fwlink/?LinkId=733558 +// for the documentation about the tasks.json format +{ + "version": "2.0.0", + "tasks": [ + { + "type": "npm", + "script": "watch", + "problemMatcher": "$tsc-watch", + "isBackground": true, + "presentation": { + "reveal": "never" + }, + "group": { + "kind": "build", + "isDefault": true + } + } + ] +} diff --git a/.vscodeignore b/.vscodeignore new file mode 100644 index 0000000..7d3e5c7 --- /dev/null +++ b/.vscodeignore @@ -0,0 +1,11 @@ +.vscode/** +.vscode-test/** +src/** +.gitignore +.yarnrc +vsc-extension-quickstart.md +**/tsconfig.json +**/eslint.config.mjs +**/*.map +**/*.ts +**/.vscode-test.* diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..0f28c94 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,9 @@ +# Change Log + +All notable changes to the "vscode-momma" extension will be documented in this file. + +Check [Keep a Changelog](http://keepachangelog.com/) for recommendations on how to structure this file. + +## [Unreleased] + +- Initial release \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..a81ed26 --- /dev/null +++ b/README.md @@ -0,0 +1,55 @@ +# VsCode Mama: AI-Powered Code Optimization Extension + +**VsCode Mama** is an AI-driven VS Code extension designed to enhance, refactor, and optimize your code effortlessly. Supporting various Large Language Models (LLMs) like OpenAI, Claude.ai, and Ollama's Llama 3.2, this tool enables production-level code improvements and documentation with just a few clicks or shortcuts. + +## ✨ Features + +- **Supports Multiple LLMs:** Choose between OpenAI, Claude.ai, and Ollama (Llama 3.2). +- **Code Refactoring and Optimization:** Refactor entire files or highlighted sections for targeted improvements. +- **Customizable API Key Integration:** Easily add your own API keys for OpenAI and Claude.ai. +- **Quick Model Switching:** Reset configuration and seamlessly switch between LLMs as needed. + +## 🚀 Getting Started + +### Installation + +1. **Download and Install Ollama (Llama 3.2)** + For Llama, download from [Ollama's site](https://ollama.com/download) and follow the instructions to install Llama 3.2 locally. + +2. **Install VsCode Mama Extension** + - Visit [mammagonnacleanyocode.co](https://mammagonnacleanyocode.co) to learn more about the extension and download it. + - Alternatively, open VS Code, go to the Extensions panel, and search for "VsCode Mama" to install it directly. + +### Initial Setup + +1. **Activate the Extension** + Run the shortcut `Command + Control + S` or search "VsCode Mama" in the command palette. + +2. **Select Your Preferred Model** + Upon first use, a popup will appear with three model options: + - **OpenAI**: Requires an API key. Obtain it from [OpenAI's API Key Page](https://platform.openai.com/api-keys). + - **Claude.ai**: Requires an API key. Obtain it from [Claude's API Key Page](https://console.anthropic.com/settings/keys). + - **Ollama (Llama 3.2)**: Works locally; ensure you’ve downloaded and installed it from [here](https://ollama.com/download). + +3. **Enter API Keys** + After selecting OpenAI or Claude.ai, you will be prompted to enter your API key. + +## 🛠 Usage + +1. **Refactor Code** + - Run the shortcut `Command + Control + S` on the current file, or select a specific code section and run the shortcut to refactor only that part. + - The LLM will optimize, clean up, and add comments to your code as needed. + +2. **Switch Models** + - To reset and choose a different LLM, run `VsCode Mama: Reset Configuration` from the command palette. You will be guided through selecting a new model and re-entering API keys if necessary. + +## 📚 Documentation + +- **Supported LLMs** + - **OpenAI**: Integrate by obtaining an API key from OpenAI's platform. + - **Claude.ai**: Integrate with Claude.ai’s key for flexible AI-based optimizations. + - **Ollama (Llama 3.2)**: Run locally; no API key required, but Llama 3.2 must be installed on your device. + +## 📝 License + +This project is licensed under the MIT License - see the LICENSE file for details. diff --git a/eslint.config.mjs b/eslint.config.mjs new file mode 100644 index 0000000..d5c0b53 --- /dev/null +++ b/eslint.config.mjs @@ -0,0 +1,28 @@ +import typescriptEslint from "@typescript-eslint/eslint-plugin"; +import tsParser from "@typescript-eslint/parser"; + +export default [{ + files: ["**/*.ts"], +}, { + plugins: { + "@typescript-eslint": typescriptEslint, + }, + + languageOptions: { + parser: tsParser, + ecmaVersion: 2022, + sourceType: "module", + }, + + rules: { + 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"title": "VsCode Momma Configuration", + "properties": { + "vscode-momma.apiTokens.openai": { + "type": "string", + "default": "", + "description": "Your OpenAI API key", + "scope": "application" + }, + "vscode-momma.apiTokens.claudeAi": { + "type": "string", + "default": "", + "description": "Your Claude.ai API key", + "scope": "application" + }, + "vscode-momma.apiTokens.ollamaSelected": { + "type": "boolean", + "default": false, + "description": "Use Llama locally (no API key required)" + } + } + } + }, + "scripts": { + "vscode:prepublish": "npm run compile", + "compile": "tsc -p ./", + "watch": "tsc -watch -p ./", + "pretest": "npm run compile && npm run lint", + "lint": "eslint src", + "test": "vscode-test" + }, + "devDependencies": { + "@types/mocha": "^10.0.9", + "@types/node": "20.x", + "@types/vscode": "^1.95.0", + "@typescript-eslint/eslint-plugin": "^8.10.0", + "@typescript-eslint/parser": "^8.7.0", + "@vscode/test-cli": "^0.0.10", + "@vscode/test-electron": "^2.4.1", + "eslint": "^9.13.0", + "typescript": "^5.6.3", + "vscode-test": "^1.6.1" + }, + "dependencies": { + "axios": "^1.7.7", + "claude-ai": "^1.2.2", + "openai": "^4.71.1" + } +} diff --git a/src/commands/resetConfig.ts b/src/commands/resetConfig.ts new file mode 100644 index 0000000..9f1e1c5 --- /dev/null +++ b/src/commands/resetConfig.ts @@ -0,0 +1,21 @@ +import * as vscode from "vscode"; + +export async function resetConfig() { + const config = vscode.workspace.getConfiguration("vscode-momma"); + + const confirm = await vscode.window.showWarningMessage( + "Are you sure you want to reset VsCode Momma configuration?", + { modal: true }, + "Yes", + "No" + ); + + if (confirm === "Yes") { + await config.update("apiTokens.openai", undefined, vscode.ConfigurationTarget.Global); + await config.update("apiTokens.claudeAi", undefined, vscode.ConfigurationTarget.Global); + await config.update("apiTokens.ollamaSelected", false, vscode.ConfigurationTarget.Global); + vscode.window.showInformationMessage("VsCode Momma configuration has been reset."); + } else { + vscode.window.showInformationMessage("Reset configuration cancelled."); + } +} diff --git a/src/commands/runCommands.ts b/src/commands/runCommands.ts new file mode 100644 index 0000000..9a6a470 --- /dev/null +++ b/src/commands/runCommands.ts @@ -0,0 +1,92 @@ +import * as vscode from "vscode"; +import { promptForConfiguration } from "../utils/configHelpers"; +import { callOpenAI } from "../utils/openaiHelpers"; +import { callClaudeAI } from "../utils/claudeHelpers"; +import OllamaService from "../utils/ollamaHelpers"; +import { CLEAN_CODE_PROMPT } from "../utils/constants"; +import { + checkCodeSelection, + replaceSelectedText, +} from "../utils/checkCodeSelection"; + +export async function runVsCodeMama() { + const config = vscode.workspace.getConfiguration("vscode-momma"); + const openaiKey = config.get("apiTokens.openai"); + const claudeKey = config.get("apiTokens.claudeAi"); + const ollamaSelected = config.get("apiTokens.ollamaSelected"); + + const { text: codeText, selection, language } = await checkCodeSelection(); + const prompt = `${CLEAN_CODE_PROMPT}\n\nIn ${language} Programming Language\n\n${codeText}`; + + let aiResponse = ""; + + // Show loading animation while the AI processes the code cleaning + aiResponse = await vscode.window.withProgress( + { + location: vscode.ProgressLocation.Notification, + cancellable: false, + }, + async (progress, token) => { + // We are using an asynchronous function to handle the progress + let dots = 1; + const loadingInterval = setInterval(() => { + if (dots > 3) { + dots = 1; + } + progress.report({ message: `Cleaning Code${".".repeat(dots)}` }); + dots++; + }, 500); + + // Process the AI request based on the available keys + if (openaiKey) { + vscode.window.showInformationMessage( + "Using OpenAI with your configured API key." + ); + aiResponse = await callOpenAI(prompt); + } else if (claudeKey) { + vscode.window.showInformationMessage( + "Using Claude.ai with your configured API key." + ); + aiResponse = await callClaudeAI(prompt); + } else if (ollamaSelected) { + const ollamaService = new OllamaService(); + const ollamaReady = await ollamaService.checkAndRunLlama(); + + if (ollamaReady) { + const port = await ollamaService.findOllamaPort(); + if (port) { + aiResponse = await ollamaService.sendMessage("llama3.2", prompt); + } else { + vscode.window.showErrorMessage( + "Unable to connect to Ollama on the expected ports." + ); + } + } + } else { + promptForConfiguration(config); + } + + // Clear the loading animation once the AI response is obtained + clearInterval(loadingInterval); + + return aiResponse; + } + ); + + // If AI returned a valid response, clean the AI output and replace text in the file + if (aiResponse) { + aiResponse = cleanAIResponse(aiResponse); + await replaceSelectedText(aiResponse, selection); + } +} + +function cleanAIResponse(response: string): string { + const lines = response.split("\n"); + if (lines[0].startsWith("```")) { + lines.shift(); // Remove starting code block + } + if (lines[lines.length - 1].startsWith("```")) { + lines.pop(); // Remove ending code block + } + return lines.join("\n").trim(); +} diff --git a/src/extension.ts b/src/extension.ts new file mode 100644 index 0000000..438cac6 --- /dev/null +++ b/src/extension.ts @@ -0,0 +1,15 @@ +import * as vscode from "vscode"; +import { runVsCodeMama } from "./commands/runCommands"; +import { resetConfig } from "./commands/resetConfig"; + +export function activate(context: vscode.ExtensionContext) { + console.log('Your extension "vscode-momma" is now active!'); + + const disposable = vscode.commands.registerCommand("vscode-momma.VsCodeMama", runVsCodeMama); + const resetDisposable = vscode.commands.registerCommand("vscode-momma.resetConfig", resetConfig); + + context.subscriptions.push(disposable); + context.subscriptions.push(resetDisposable); +} + +export function deactivate() {} diff --git a/src/test/extension.test.ts b/src/test/extension.test.ts new file mode 100644 index 0000000..4ca0ab4 --- /dev/null +++ b/src/test/extension.test.ts @@ -0,0 +1,15 @@ +import * as assert from 'assert'; + +// You can import and use all API from the 'vscode' module +// as well as import your extension to test it +import * as vscode from 'vscode'; +// import * as myExtension from '../../extension'; + +suite('Extension Test Suite', () => { + vscode.window.showInformationMessage('Start all tests.'); + + test('Sample test', () => { + assert.strictEqual(-1, [1, 2, 3].indexOf(5)); + assert.strictEqual(-1, [1, 2, 3].indexOf(0)); + }); +}); diff --git a/src/utils/checkCodeSelection.ts b/src/utils/checkCodeSelection.ts new file mode 100644 index 0000000..56c9b15 --- /dev/null +++ b/src/utils/checkCodeSelection.ts @@ -0,0 +1,41 @@ +import * as vscode from "vscode"; + +export async function checkCodeSelection(): Promise<{ text: string; selection: vscode.Selection | null; language: string | null }> { + const editor = vscode.window.activeTextEditor; + if (editor) { + const document = editor.document; + const language = document.languageId; // Get the language ID of the document + const selection = editor.selection; + + if (selection.isEmpty) { + vscode.window.showInformationMessage("No text selected. Using the entire file."); + // console.log("No text selected. Using the entire file."); + return { text: document.getText(), selection: null, language }; // Return entire document content and language + } else { + vscode.window.showInformationMessage(`Using selected text from lines ${selection.start.line + 1} to ${selection.end.line + 1}.`); + return { text: document.getText(selection), selection, language }; // Return selected text, selection range, and language + } + } + + return { text: "", selection: null, language: null }; // Return empty if no editor is active +} + + +export async function replaceSelectedText(newText: string, selection: vscode.Selection | null) { + const editor = vscode.window.activeTextEditor; + if (editor) { + await editor.edit(editBuilder => { + if (selection) { + // Replace only the selected text + editBuilder.replace(selection, newText); + } else { + // Replace entire document content + const fullRange = new vscode.Range( + editor.document.positionAt(0), + editor.document.positionAt(editor.document.getText().length) + ); + editBuilder.replace(fullRange, newText); + } + }); + } +} diff --git a/src/utils/claudeHelpers.ts b/src/utils/claudeHelpers.ts new file mode 100644 index 0000000..442280f --- /dev/null +++ b/src/utils/claudeHelpers.ts @@ -0,0 +1,40 @@ +import * as vscode from "vscode"; +import axios from "axios"; + +export async function callClaudeAI(prompt: string): Promise { + try { + // Access the Claude.ai API key from the VS Code settings + const config = vscode.workspace.getConfiguration("vscode-momma"); + const apiKey = config.get("apiTokens.claudeAi"); + + if (!apiKey) { + throw new Error("Claude.ai API key is not set. Please configure it in the extension settings."); + } + + // API endpoint for Claude's completions + const endpoint = "https://api.claude.ai/v1/complete"; // Update with the correct Claude endpoint + + // Make the API request to Claude + const response = await axios.post( + endpoint, + { + model: "claude-2", // Specify Claude model, if required + prompt: prompt, + max_tokens_to_sample: 1024, + temperature: 0.7, + }, + { + headers: { + "Authorization": `Bearer ${apiKey}`, + "Content-Type": "application/json", + }, + } + ); + + // Return the response content from Claude + return response.data.completion ?? ""; + } catch (error) { + console.error("Error calling Claude.ai API:", error); + throw error; + } +} diff --git a/src/utils/configHelpers.ts b/src/utils/configHelpers.ts new file mode 100644 index 0000000..c10d6f7 --- /dev/null +++ b/src/utils/configHelpers.ts @@ -0,0 +1,99 @@ +import * as vscode from "vscode"; + +export async function promptForConfiguration( + config: vscode.WorkspaceConfiguration +) { + // Display a loading animation while the user is selecting an AI provider + const selectedProvider = await vscode.window.withProgress( + { + location: vscode.ProgressLocation.Notification, + cancellable: false, + }, + async (progress, token) => { + // We are using an asynchronous function to handle the progress + // Create the dots animation + let dots = 1; + const loadingInterval = setInterval(() => { + if (dots > 3) { + dots = 1; + } + progress.report({ message: `Loading${".".repeat(dots)}` }); + dots++; + }, 500); + + // Wait for the user to select an AI provider + const selectedProvider = await vscode.window.showQuickPick( + ["OpenAI", "Claude.ai", "Ollama (local)"], + { + placeHolder: "Select the LLM provider to configure", + } + ); + + // Clear the loading animation once the user selects an option + clearInterval(loadingInterval); + + // Return the selected provider to proceed with the configuration + return selectedProvider; + } + ); + + if (selectedProvider) { + if (selectedProvider === "Ollama (local)") { + await config.update( + "apiTokens.ollamaSelected", + true, + vscode.ConfigurationTarget.Global + ); + vscode.window.showInformationMessage("Ollama selected for local usage."); + } else { + // Display a loading animation while waiting for the user to input the API key + const apiKey = await vscode.window.withProgress( + { + location: vscode.ProgressLocation.Notification, + cancellable: false, + }, + async (progress, token) => { + // We are using an asynchronous function to handle the progress + // Create the dots animation + let dots = 1; + const loadingInterval = setInterval(() => { + if (dots > 3) { + dots = 1; + } + progress.report({ message: `Loading${".".repeat(dots)}` }); + dots++; + }, 500); + + // Wait for the user to enter their API key + const apiKey = await vscode.window.showInputBox({ + prompt: `Enter your API key for ${selectedProvider}`, + ignoreFocusOut: true, + password: true, + }); + + // Clear the loading animation once the user inputs the API key or cancels + clearInterval(loadingInterval); + + return apiKey; + } + ); + + if (apiKey) { + const keyName = + selectedProvider === "OpenAI" + ? "apiTokens.openai" + : "apiTokens.claudeAi"; + await config.update(keyName, apiKey, vscode.ConfigurationTarget.Global); + vscode.window.showInformationMessage( + `API key for ${selectedProvider} saved successfully!` + ); + } else { + vscode.window.showWarningMessage("API key input was canceled."); + } + } + } else { + vscode.window.showWarningMessage( + "No provider selected. Please configure an API key to proceed." + ); + } +} diff --git a/src/utils/constants.ts b/src/utils/constants.ts new file mode 100644 index 0000000..6dd7e2f --- /dev/null +++ b/src/utils/constants.ts @@ -0,0 +1,24 @@ +// Prompt for simplifying and structuring messy code into production-level code with comments +export const CLEAN_CODE_PROMPT = ` +You are a professional software engineer with expertise in writing clean, well-structured, and maintainable production-level code. + +You will be given a code snippet **from any programming language**, which may be messy, unstructured, or lacking comments. +**Your task is to convert this code into clean, well-commented code**, focusing on readability, organization, and clarity, +while strictly preserving the existing function names and the number of parameters for each function. + +In your restructured code: + + 1. **DO NOT CHANGE** any function names or the number of parameters for each function. + 2. Refactor and organize the code with a clean structure, following best practices. + 3. Inside each function, you may rename variables to improve readability **if needed**. + 4. Add comments that explain complex sections, logic flow, and any essential details for maintainability. + 5. Use standard indentation, spacing, and formatting for production-level code. + 6. If necessary, group related sections together and improve modularity by breaking down large functions into smaller, well-defined ones (within each function's scope). + 7. Ensure the final code is production-ready while **preserving the original logic**. + +**Your output should be ONLY the clean, structured, well-commented Python code, ready for production. Do NOT include any explanations or additional text.** + +Your input: +`; + + diff --git a/src/utils/ollamaHelpers.ts b/src/utils/ollamaHelpers.ts new file mode 100644 index 0000000..1495acf --- /dev/null +++ b/src/utils/ollamaHelpers.ts @@ -0,0 +1,100 @@ +import * as vscode from "vscode"; +import { exec } from "child_process"; +import axios from 'axios'; +import net from 'net'; + +class OllamaService { + private OLLAMA_PORTS: number[]; + private port: number | null; + + constructor() { + this.OLLAMA_PORTS = [11434, 8080, 3000]; + this.port = null; + } + + async checkAndRunLlama(): Promise { + return new Promise((resolve) => { + exec("/usr/local/bin/ollama -v", (error, stdout, stderr) => { + if (error) { + console.log("ERRORRR"); + console.error(error); + vscode.window.showWarningMessage("Llama LLM is not installed. Would you like to download it?", "Download").then(selection => { + if (selection === "Download") { + vscode.env.openExternal(vscode.Uri.parse("https://ollama.com/download")); + } + }); + resolve(false); + } else { + vscode.window.showInformationMessage("Llama LLM is installed and ready to use locally!"); + resolve(true); + } + }); + }); + } + + async findOllamaPort(): Promise { + for (const port of this.OLLAMA_PORTS) { + try { + await new Promise((resolve, reject) => { + const socket = new net.Socket(); + socket.setTimeout(1000); + socket.on('connect', () => { + socket.destroy(); + resolve(); + }); + socket.on('timeout', () => { + socket.destroy(); + reject(new Error('timeout')); + }); + socket.on('error', reject); + socket.connect(port, 'localhost'); + }); + this.port = port; + console.log('Ollama port found:', port); + return port; + } catch (error) { + continue; + } + } + return null; + } + + async sendMessage(model: string, message: string): Promise { + console.log('Sending message to Ollama:', message); + if (!this.port) { + return "Error: Ollama port not found."; + } + console.log('Ollama port:', this.port); + + try { + const response = await axios.post(`http://localhost:${this.port}/api/generate`, { + model: model, + prompt: message + }, { + responseType: 'text' + }); + console.log('Received response from Ollama:', response.data); + + const lines = response.data.split('\n'); + let finalResponse = ''; + console.log('Lines:', lines); + + for (const line of lines) { + if (line.trim()) { + const json = JSON.parse(line); + finalResponse += json.response; + if (json.done) { + break; + } + } + } + console.log('Received response from Ollama:', finalResponse); + return finalResponse; + } catch (error) { + console.error('Error sending message to Ollama:', error); + return "Error: Unable to get response from Ollama"; + } + } +} + +export default OllamaService; diff --git a/src/utils/openaiHelpers.ts b/src/utils/openaiHelpers.ts new file mode 100644 index 0000000..2b58441 --- /dev/null +++ b/src/utils/openaiHelpers.ts @@ -0,0 +1,33 @@ +import * as vscode from "vscode"; +import OpenAI from "openai"; + +export async function callOpenAI(prompt: string): Promise { + try { + // Access the OpenAI API key from the VS Code settings + const config = vscode.workspace.getConfiguration("vscode-momma"); + const apiKey = config.get("apiTokens.openai"); + + if (!apiKey) { + throw new Error("OpenAI API key is not set. Please configure it in the extension settings."); + } + + // Initialize the OpenAI client with the API key + const openai = new OpenAI({ apiKey }); + + // Create the completion with gpt-4o-mini + const completion = await openai.chat.completions.create({ + model: "gpt-4o", + messages: [ + { role: "system", content: "You are a helpful assistant." }, + { role: "user", content: prompt } + ] + }); + // console.log(completion); + + // Return the response content from the OpenAI API + return completion.choices[0].message?.content ?? ""; + } catch (error) { + console.error("Error calling OpenAI API:", error); + throw error; + } +} diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..6954702 --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,17 @@ +{ + "compilerOptions": { + "module": "Node16", + "target": "ES2022", + "outDir": "out", + "lib": [ + "ES2022" + ], + "sourceMap": true, + "rootDir": "src", + "strict": true /* enable all strict type-checking options */ + /* Additional Checks */ + // "noImplicitReturns": true, /* Report error when not all code paths in function return a value. */ + // "noFallthroughCasesInSwitch": true, /* Report errors for fallthrough cases in switch statement. */ + // "noUnusedParameters": true, /* Report errors on unused parameters. */ + } +} diff --git a/vsc-extension-quickstart.md b/vsc-extension-quickstart.md new file mode 100644 index 0000000..c912064 --- /dev/null +++ b/vsc-extension-quickstart.md @@ -0,0 +1,44 @@ +# Welcome to your VS Code Extension + +## What's in the folder + +* This folder contains all of the files necessary for your extension. +* `package.json` - this is the manifest file in which you declare your extension and command. + * The sample plugin registers a command and defines its title and command name. With this information VS Code can show the command in the command palette. It doesn’t yet need to load the plugin. +* `src/extension.ts` - this is the main file where you will provide the implementation of your command. + * The file exports one function, `activate`, which is called the very first time your extension is activated (in this case by executing the command). Inside the `activate` function we call `registerCommand`. + * We pass the function containing the implementation of the command as the second parameter to `registerCommand`. + +## Get up and running straight away + +* Press `F5` to open a new window with your extension loaded. +* Run your command from the command palette by pressing (`Ctrl+Shift+P` or `Cmd+Shift+P` on Mac) and typing `Hello World`. +* Set breakpoints in your code inside `src/extension.ts` to debug your extension. +* Find output from your extension in the debug console. + +## Make changes + +* You can relaunch the extension from the debug toolbar after changing code in `src/extension.ts`. +* You can also reload (`Ctrl+R` or `Cmd+R` on Mac) the VS Code window with your extension to load your changes. + +## Explore the API + +* You can open the full set of our API when you open the file `node_modules/@types/vscode/index.d.ts`. + +## Run tests + +* Install the [Extension Test Runner](https://marketplace.visualstudio.com/items?itemName=ms-vscode.extension-test-runner) +* Run the "watch" task via the **Tasks: Run Task** command. Make sure this is running, or tests might not be discovered. +* Open the Testing view from the activity bar and click the Run Test" button, or use the hotkey `Ctrl/Cmd + ; A` +* See the output of the test result in the Test Results view. +* Make changes to `src/test/extension.test.ts` or create new test files inside the `test` folder. + * The provided test runner will only consider files matching the name pattern `**.test.ts`. + * You can create folders inside the `test` folder to structure your tests any way you want. + +## Go further + +* [Follow UX guidelines](https://code.visualstudio.com/api/ux-guidelines/overview) to create extensions that seamlessly integrate with VS Code's native interface and patterns. +* Reduce the extension size and improve the startup time by [bundling your extension](https://code.visualstudio.com/api/working-with-extensions/bundling-extension). +* [Publish your extension](https://code.visualstudio.com/api/working-with-extensions/publishing-extension) on the VS Code extension marketplace. +* Automate builds by setting up [Continuous Integration](https://code.visualstudio.com/api/working-with-extensions/continuous-integration). +* Integrate to the [report issue](https://code.visualstudio.com/api/get-started/wrapping-up#issue-reporting) flow to get issue and feature requests reported by users.