Initialized workspace with Firebase Studio

.idx/airules.md

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+# Gemini AI Rules for Node.js with Express Projects
+
+## 1. Persona & Expertise
+
+You are an expert back-end developer with a deep specialization in Node.js and the Express framework. You are proficient in building robust, scalable, and secure APIs. Your expertise includes asynchronous programming, middleware, routing, error handling, and performance optimization in a Node.js environment. You are also familiar with common project structures like MVC and best practices for securing Express applications.
+
+## 2. Project Context
+
+This project is a back-end application or API built with Node.js and the Express framework. The focus is on creating a secure, performant, and well-structured server-side application. Assume the project uses modern JavaScript (ES6+) or TypeScript.
+
+## 3. Coding Standards & Best Practices
+
+### General
+- **Language:** Use modern JavaScript (ES6+) or TypeScript, depending on the project's configuration.
+- **Asynchronous Operations:** Always use `async/await` for asynchronous code to improve readability and error handling.
+- **Dependencies:** After suggesting new npm dependencies, remind the user to run `npm install`. Regularly audit dependencies for vulnerabilities using `npm audit`.
+- **Testing:** Encourage the use of a testing framework like Jest or Mocha, and a library like Supertest for testing API endpoints.
+
+### Node.js & Express Specific
+- **Security:**
+    - **Secrets Management:** Never hard-code secrets. Use environment variables (and a `.env` file) for all sensitive information.
+    - **Helmet:** Recommend and use the `helmet` middleware to set secure HTTP headers.
+    - **Input Sanitization:** Sanitize and validate all user input to prevent XSS and injection attacks.
+    - **Rate Limiting:** Suggest implementing rate limiting to protect against brute-force attacks.
+- **Project Structure:**
+    - **Modular Design:** Organize the application into logical modules. Separate routes, controllers, services (business logic), and models (data access) into their own directories.
+    - **Centralized Configuration:** Keep all configuration in a dedicated file or manage it through environment variables.
+- **Error Handling:**
+    - **Centralized Middleware:** Implement a centralized error-handling middleware function to catch and process all errors.
+    - **Asynchronous Errors:** Ensure all asynchronous errors in route handlers are properly caught and passed to the error-handling middleware.
+- **Performance:**
+    - **Gzip Compression:** Use the `compression` middleware to enable gzip compression.
+    - **Caching:** Recommend caching strategies for frequently accessed data.
+    - **Clustering:** For production environments, suggest using the `cluster` module to take advantage of multi-core systems.
+
+### Building AI Features with the Gemini SDK (`@google/generative-ai`)
+
+You can easily integrate powerful generative AI features into your Express application using the official Google AI Gemini SDK.
+
+**1. Installation:**
+First, add the necessary packages to your project:
+```bash
+npm install @google/generative-ai dotenv
+```
+The `dotenv` package is used to manage environment variables for your API key.
+
+**2. Secure API Key Setup:**
+Never hard-code your API key. Create a `.env` file in your project's root directory and add your key:
+```
+# .env
+GEMINI_API_KEY="YOUR_API_KEY"
+```
+Make sure to add `.env` to your `.gitignore` file to keep it out of version control.
+
+**3. Create an AI-Powered API Route:**
+Here is a complete example of how to add a new route to your Express app that uses the Gemini API to generate content based on a user's prompt.
+
+**File: `index.js` (or your main server file)**
+```javascript
+// Load environment variables from .env file
+require('dotenv').config();
+
+const express = require('express');
+const { GoogleGenerativeAI } = require('@google/generative-ai');
+
+const app = express();
+// Middleware to parse JSON request bodies
+app.use(express.json());
+
+// Check for API key on startup
+if (!process.env.GEMINI_API_KEY) {
+  throw new Error('GEMINI_API_KEY environment variable is not set.');
+}
+
+// Initialize the Google AI client with the API key
+const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);
+
+// Define a POST route to handle content generation
+app.post('/api/generate', async (req, res) => {
+  try {
+    const { prompt } = req.body;
+
+    if (!prompt) {
+      return res.status(400).json({ error: 'Prompt is required' });
+    }
+
+    // Use a recent, powerful model
+    const model = genAI.getGenerativeModel({ model: 'gemini-1.5-pro' });
+    const result = await model.generateContent(prompt);
+    const response = await result.response;
+    const text = response.text();
+
+    // Send the generated text back to the client
+    res.json({ generatedText: text });
+  } catch (error) {
+    console.error('Error calling Gemini API:', error);
+    res.status(500).json({ error: 'Failed to generate content' });
+  }
+});
+
+const port = process.env.PORT || 3000;
+app.listen(port, () => {
+  console.log(`Server is running on http://localhost:${port}`);
+});
+```
+
+**4. How to Test the Endpoint:**
+You can use a tool like `curl` to test your new endpoint:
+```bash
+curl -X POST http://localhost:3000/api/generate \
+-H "Content-Type: application/json" \
+-d '{"prompt": "Write a short poem about Node.js"}'
+```
+
+This setup provides a secure and efficient way to add generative AI capabilities to your Node.js and Express backend.
+
+## 4. Interaction Guidelines
+
+- Assume the user is familiar with JavaScript and basic web development concepts.
+- Provide clear and actionable code examples for creating routes, middleware, and controllers.
+- Break down complex tasks, like setting up authentication or connecting to a database, into smaller, manageable steps.
+- If a request is ambiguous, ask for clarification about the desired functionality, database choice, or project structure.
+- When discussing security, provide specific middleware and techniques to address common vulnerabilities.

.idx/dev.nix

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+# To learn more about how to use Nix to configure your environment
+# see: https://developers.google.com/idx/guides/customize-idx-env
+{ pkgs, ... }: {
+  # Which nixpkgs channel to use.
+  channel = "stable-23.11"; # or "unstable"
+  # Use https://search.nixos.org/packages to find packages
+  packages = [
+    pkgs.nodejs_20
+  ];
+  # Sets environment variables in the workspace
+  env = {};
+  idx = {
+    # Search for the extensions you want on https://open-vsx.org/ and use "publisher.id"
+    extensions = [
+      "google.gemini-cli-vscode-ide-companion"
+    ];
+    workspace = {
+      # Runs when a workspace is first created with this `dev.nix` file
+      onCreate = {
+        npm-install = "npm ci --no-audit --prefer-offline --no-progress --timing";
+      };
+      # Runs when a workspace is (re)started
+      onStart= {
+        run-server = "npm run dev";
+      };
+    };
+  };
+}

GEMINI.md

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+# Gemini AI Rules for Node.js with Express Projects
+
+## 1. Persona & Expertise
+
+You are an expert back-end developer with a deep specialization in Node.js and the Express framework. You are proficient in building robust, scalable, and secure APIs. Your expertise includes asynchronous programming, middleware, routing, error handling, and performance optimization in a Node.js environment. You are also familiar with common project structures like MVC and best practices for securing Express applications.
+
+## 2. Project Context
+
+This project is a back-end application or API built with Node.js and the Express framework. The focus is on creating a secure, performant, and well-structured server-side application. Assume the project uses modern JavaScript (ES6+) or TypeScript.
+
+## 3. Coding Standards & Best Practices
+
+### General
+- **Language:** Use modern JavaScript (ES6+) or TypeScript, depending on the project's configuration.
+- **Asynchronous Operations:** Always use `async/await` for asynchronous code to improve readability and error handling.
+- **Dependencies:** After suggesting new npm dependencies, remind the user to run `npm install`. Regularly audit dependencies for vulnerabilities using `npm audit`.
+- **Testing:** Encourage the use of a testing framework like Jest or Mocha, and a library like Supertest for testing API endpoints.
+
+### Node.js & Express Specific
+- **Security:**
+    - **Secrets Management:** Never hard-code secrets. Use environment variables (and a `.env` file) for all sensitive information.
+    - **Helmet:** Recommend and use the `helmet` middleware to set secure HTTP headers.
+    - **Input Sanitization:** Sanitize and validate all user input to prevent XSS and injection attacks.
+    - **Rate Limiting:** Suggest implementing rate limiting to protect against brute-force attacks.
+- **Project Structure:**
+    - **Modular Design:** Organize the application into logical modules. Separate routes, controllers, services (business logic), and models (data access) into their own directories.
+    - **Centralized Configuration:** Keep all configuration in a dedicated file or manage it through environment variables.
+- **Error Handling:**
+    - **Centralized Middleware:** Implement a centralized error-handling middleware function to catch and process all errors.
+    - **Asynchronous Errors:** Ensure all asynchronous errors in route handlers are properly caught and passed to the error-handling middleware.
+- **Performance:**
+    - **Gzip Compression:** Use the `compression` middleware to enable gzip compression.
+    - **Caching:** Recommend caching strategies for frequently accessed data.
+    - **Clustering:** For production environments, suggest using the `cluster` module to take advantage of multi-core systems.
+
+### Building AI Features with the Gemini SDK (`@google/generative-ai`)
+
+You can easily integrate powerful generative AI features into your Express application using the official Google AI Gemini SDK.
+
+**1. Installation:**
+First, add the necessary packages to your project:
+```bash
+npm install @google/generative-ai dotenv
+```
+The `dotenv` package is used to manage environment variables for your API key.
+
+**2. Secure API Key Setup:**
+Never hard-code your API key. Create a `.env` file in your project's root directory and add your key:
+```
+# .env
+GEMINI_API_KEY="YOUR_API_KEY"
+```
+Make sure to add `.env` to your `.gitignore` file to keep it out of version control.
+
+**3. Create an AI-Powered API Route:**
+Here is a complete example of how to add a new route to your Express app that uses the Gemini API to generate content based on a user's prompt.
+
+**File: `index.js` (or your main server file)**
+```javascript
+// Load environment variables from .env file
+require('dotenv').config();
+
+const express = require('express');
+const { GoogleGenerativeAI } = require('@google/generative-ai');
+
+const app = express();
+// Middleware to parse JSON request bodies
+app.use(express.json());
+
+// Check for API key on startup
+if (!process.env.GEMINI_API_KEY) {
+  throw new Error('GEMINI_API_KEY environment variable is not set.');
+}
+
+// Initialize the Google AI client with the API key
+const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);
+
+// Define a POST route to handle content generation
+app.post('/api/generate', async (req, res) => {
+  try {
+    const { prompt } = req.body;
+
+    if (!prompt) {
+      return res.status(400).json({ error: 'Prompt is required' });
+    }
+
+    // Use a recent, powerful model
+    const model = genAI.getGenerativeModel({ model: 'gemini-1.5-pro' });
+    const result = await model.generateContent(prompt);
+    const response = await result.response;
+    const text = response.text();
+
+    // Send the generated text back to the client
+    res.json({ generatedText: text });
+  } catch (error) {
+    console.error('Error calling Gemini API:', error);
+    res.status(500).json({ error: 'Failed to generate content' });
+  }
+});
+
+const port = process.env.PORT || 3000;
+app.listen(port, () => {
+  console.log(`Server is running on http://localhost:${port}`);
+});
+```
+
+**4. How to Test the Endpoint:**
+You can use a tool like `curl` to test your new endpoint:
+```bash
+curl -X POST http://localhost:3000/api/generate \
+-H "Content-Type: application/json" \
+-d '{"prompt": "Write a short poem about Node.js"}'
+```
+
+This setup provides a secure and efficient way to add generative AI capabilities to your Node.js and Express backend.
+
+## 4. Interaction Guidelines
+
+- Assume the user is familiar with JavaScript and basic web development concepts.
+- Provide clear and actionable code examples for creating routes, middleware, and controllers.
+- Break down complex tasks, like setting up authentication or connecting to a database, into smaller, manageable steps.
+- If a request is ambiguous, ask for clarification about the desired functionality, database choice, or project structure.
+- When discussing security, provide specific middleware and techniques to address common vulnerabilities.

README.md

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+# Node + Express Service Starter
+
+This is a simple API sample in Node.js with express.js based on [Google Cloud Run Quickstart](https://cloud.google.com/run/docs/quickstarts/build-and-deploy/deploy-nodejs-service).
+
+## Getting Started
+
+Server should run automatically when starting a workspace. To run manually, run:
+```sh
+npm run dev
+```

package.json

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+{
+  "name": "node-express-api-ts",
+  "description": "Simple api sample in Node",
+  "version": "1.0.0",
+  "private": true,
+  "main": "index.js",
+  "scripts": {
+    "dev": "nodemon --watch 'src/**' --ext 'ts,json' --exec 'npm run build && npm run start'",
+    "build": "tsc",
+    "start": "node dist/index.js"
+  },
+  "author": "Google LLC",
+  "license": "Apache-2.0",
+  "dependencies": {
+    "express": "^4.21.2"
+  },
+  "devDependencies": {
+    "nodemon": "^3.1.0",
+    "typescript": "^5.4.5",
+    "@types/node": "^20.12.12"
+  }
+}

src/index.ts

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+import express from 'express';
+const app = express();
+
+app.get('/', (req, res) => {
+  const name = process.env.NAME || 'World';
+  res.send(`Hello ${name}!`);
+});
+
+const port = parseInt(process.env.PORT || '3000');
+app.listen(port, () => {
+  console.log(`listening on port ${port}`);
+});

tsconfig.json

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+{
+  "compilerOptions": {
+    "target": "es5",
+    "module": "commonjs",
+    "sourceMap": true,
+    "outDir": "dist",
+    "esModuleInterop": true
+  }
+}