"use strict";
/**
 * BEGINNER TUTORIAL: Simple Data Generation
 *
 * Learn how to generate structured synthetic data with agentic-synth.
 * Perfect for creating test data, mock APIs, or prototyping.
 *
 * What you'll learn:
 * - Defining data schemas
 * - Generating structured data
 * - Saving output to files
 * - Working with different formats
 *
 * Prerequisites:
 * - Set GEMINI_API_KEY environment variable
 * - npm install @ruvector/agentic-synth
 *
 * Run: npx tsx examples/beginner/simple-data-generation.ts
 */
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Object.defineProperty(exports, "__esModule", { value: true });
exports.synth = void 0;
exports.generateUserData = generateUserData;
exports.generateWithConstraints = generateWithConstraints;
const agentic_synth_1 = require("@ruvector/agentic-synth");
const fs_1 = require("fs");
const path_1 = require("path");
// Step 1: Define your data schema
// This is like a blueprint for the data you want to generate
const userSchema = {
    // Basic fields with types
    id: { type: 'string', required: true },
    name: { type: 'string', required: true },
    email: { type: 'string', required: true },
    age: { type: 'number', required: true, minimum: 18, maximum: 80 },
    // Enum fields (restricted choices)
    role: {
        type: 'string',
        required: true,
        enum: ['user', 'admin', 'moderator']
    },
    // Nested object
    address: {
        type: 'object',
        required: false,
        properties: {
            street: { type: 'string' },
            city: { type: 'string' },
            country: { type: 'string' },
            postalCode: { type: 'string' }
        }
    },
    // Array field
    interests: {
        type: 'array',
        required: false,
        items: { type: 'string' }
    }
};
// Step 2: Initialize AgenticSynth
// We're using Gemini because it's fast and cost-effective
const synth = new agentic_synth_1.AgenticSynth({
    provider: 'gemini',
    apiKey: process.env.GEMINI_API_KEY,
    model: 'gemini-2.0-flash-exp',
    cacheStrategy: 'memory', // Cache results to save API calls
    cacheTTL: 3600 // Cache for 1 hour
});
exports.synth = synth;
// Step 3: Main generation function
async function generateUserData() {
    console.log('🎯 Simple Data Generation Tutorial\n');
    console.log('='.repeat(60));
    // Step 3a: Generate a small batch first (5 users)
    console.log('\n📊 Generating 5 sample users...\n');
    try {
        const result = await synth.generateStructured({
            count: 5,
            schema: userSchema,
            format: 'json', // Can also be 'csv' or 'array'
            constraints: {
                // Additional constraints for more realistic data
                emailDomain: '@example.com',
                nameFormat: 'FirstName LastName',
                countryList: ['USA', 'UK', 'Canada', 'Australia']
            }
        });
        // Step 4: Display the results
        console.log('✅ Generation Complete!\n');
        console.log(`Generated ${result.metadata.count} users in ${result.metadata.duration}ms`);
        console.log(`Provider: ${result.metadata.provider}`);
        console.log(`Model: ${result.metadata.model}`);
        console.log(`Cached: ${result.metadata.cached ? 'Yes ⚡' : 'No'}\n`);
        // Show the generated data
        console.log('👥 Generated Users:\n');
        result.data.forEach((user, index) => {
            console.log(`${index + 1}. ${user.name} (${user.role})`);
            console.log(`   📧 ${user.email}`);
            console.log(`   🎂 Age: ${user.age}`);
            if (user.address) {
                console.log(`   🏠 ${user.address.city}, ${user.address.country}`);
            }
            if (user.interests && user.interests.length > 0) {
                console.log(`   ❤️  Interests: ${user.interests.join(', ')}`);
            }
            console.log('');
        });
        // Step 5: Save to file
        const outputDir = (0, path_1.join)(process.cwd(), 'examples', 'output');
        const outputFile = (0, path_1.join)(outputDir, 'sample-users.json');
        try {
            // Create output directory if it doesn't exist
            const { mkdirSync } = await Promise.resolve().then(() => __importStar(require('fs')));
            mkdirSync(outputDir, { recursive: true });
            // Save the data
            (0, fs_1.writeFileSync)(outputFile, JSON.stringify(result.data, null, 2));
            console.log(`💾 Data saved to: ${outputFile}\n`);
        }
        catch (error) {
            console.warn('⚠️  Could not save file:', error instanceof Error ? error.message : 'Unknown error');
        }
        // Step 6: Generate a larger batch
        console.log('='.repeat(60));
        console.log('\n📈 Now generating 20 users (to demonstrate scaling)...\n');
        const largeResult = await synth.generateStructured({
            count: 20,
            schema: userSchema,
            format: 'json'
        });
        console.log('✅ Large batch complete!');
        console.log(`   Generated: ${largeResult.metadata.count} users`);
        console.log(`   Time: ${largeResult.metadata.duration}ms`);
        console.log(`   Cached: ${largeResult.metadata.cached ? 'Yes ⚡' : 'No'}\n`);
        // Step 7: Demonstrate CSV format
        console.log('='.repeat(60));
        console.log('\n📄 Generating data in CSV format...\n');
        const csvResult = await synth.generateStructured({
            count: 3,
            schema: {
                id: { type: 'string', required: true },
                name: { type: 'string', required: true },
                email: { type: 'string', required: true },
                role: { type: 'string', required: true }
            },
            format: 'csv'
        });
        console.log('CSV Output (first 3 users):');
        console.log('─'.repeat(60));
        // Note: CSV format will be in the data array as strings
        console.log('✅ CSV generation successful\n');
        // Step 8: Show statistics
        console.log('='.repeat(60));
        console.log('\n📊 Session Statistics:');
        console.log(`   Total users generated: ${result.data.length + largeResult.data.length + csvResult.data.length}`);
        console.log(`   Total API calls: ${result.metadata.cached ? '1 (cached)' : '2'}`);
        console.log(`   Total time: ${result.metadata.duration + largeResult.metadata.duration}ms`);
        // Step 9: Next steps
        console.log('\n💡 What You Can Do Next:');
        console.log('   1. Modify the schema to match your use case');
        console.log('   2. Try different data types (timeseries, events)');
        console.log('   3. Experiment with constraints for more realistic data');
        console.log('   4. Generate thousands of records for load testing');
        console.log('   5. Integrate with your test suite or mock API\n');
    }
    catch (error) {
        console.error('❌ Generation failed:', error instanceof Error ? error.message : 'Unknown error');
        // Helpful error messages
        if (error instanceof Error) {
            if (error.message.includes('API key')) {
                console.error('\n💡 Tip: Make sure GEMINI_API_KEY is set in your environment');
            }
            else if (error.message.includes('schema')) {
                console.error('\n💡 Tip: Check your schema definition for errors');
            }
        }
        process.exit(1);
    }
}
// Additional helper: Generate with custom constraints
async function generateWithConstraints() {
    console.log('\n🎨 Example: Custom Constraints\n');
    const result = await synth.generateStructured({
        count: 3,
        schema: {
            productName: { type: 'string', required: true },
            price: { type: 'number', required: true, minimum: 10, maximum: 1000 },
            category: {
                type: 'string',
                enum: ['Electronics', 'Clothing', 'Books', 'Food']
            },
            inStock: { type: 'boolean', required: true }
        },
        constraints: {
            priceFormat: 'USD',
            includeDiscounts: true,
            realistic: true
        }
    });
    console.log('Generated products:', result.data);
}
// Run the example
if (import.meta.url === `file://${process.argv[1]}`) {
    generateUserData().catch(error => {
        console.error('Fatal error:', error);
        process.exit(1);
    });
}
//# sourceMappingURL=simple-data-generation.js.map