@bhagat-surya-dev/dashchat-database-manager/dist/example.js

AI-powered database schema analysis and management library

"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
const DatabaseManager_1 = __importDefault(require("./DatabaseManager"));
const dotenv = __importStar(require("dotenv"));
const fs = __importStar(require("fs/promises"));
dotenv.config();
/**
 * Main function to run the database analysis process.
 */
async function main() {
    // --- 1. Configuration ---
    // It's recommended to load these from environment variables (.env file)
    const cerebrasApiKey = "csk-j54r63jt99m6rw43evwtv9ek3wr2pwtcndhh9h585fettw4m";
    const databaseUrl = 'mongodb://admin:password123@localhost:27017/ecommerce_startup?authSource=admin';
    if (!cerebrasApiKey) {
        console.error('❌ Cerebras API key not found. Please set it in your .env file or directly in the script.');
        return;
    }
    // Initialize the DatabaseManager with your configuration
    const dbManager = new DatabaseManager_1.default({
        cerebrasApiKey: cerebrasApiKey,
        databaseUrl: databaseUrl,
        model: "qwen-3-235b-a22b-instruct-2507" // Specify the model you want to use
    });
    // --- 2. Test Database Connection ---
    console.log('🧪 Testing database connection...');
    try {
        const isConnected = await dbManager.testConnection();
        if (isConnected) {
            console.log('✅ Connection successful!');
        }
        else {
            // The testConnection method will log detailed errors internally
            console.error('❌ Connection failed. Please check your database URL, credentials, and network access.');
        }
    }
    catch (error) {
        console.error('❌ Error during connection test:', error);
    }
    // --- 3. Perform AI Schema Analysis and Save to File ---
    console.log('\n🤖 Performing AI-powered schema analysis...');
    try {
        // A unique ID for your database, used by the manager for caching or logging
        const databaseId = 'ecommerce_startup_db';
        // Call the analysis function to get AI-generated descriptions for your schema
        const analyzedSchema = await dbManager.analyzeAndCacheSchema(databaseUrl, databaseId);
        // Check if the analysis returned any data before proceeding
        if (!analyzedSchema || analyzedSchema.tables.length === 0) {
            console.warn('⚠️ AI analysis did not return any table data. This could be due to an empty database or permissions issues. Halting.');
            return;
        }
        // Convert the schema object into a nicely formatted JSON string
        const schemaJson = JSON.stringify(analyzedSchema, null, 2);
        // Create a timestamp string (e.g., "2025-08-14T19-30-00") to make the filename unique
        const timestamp = new Date().toISOString().replace(/:/g, '-').slice(0, 19);
        const outputFilename = `schema_analysis_${timestamp}.json`;
        // Asynchronously write the JSON string to the new timestamped file
        await fs.writeFile(outputFilename, schemaJson);
        console.log(`✅ AI-analyzed schema successfully saved to ${outputFilename}`);
    }
    catch (error) {
        console.error('❌ An error occurred during AI analysis or file saving:', error);
    }
}
// Run the main function
main();
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