/**
 * Skill Evolution Simulation
 *
 * Tests SkillLibrary with skill creation, evolution, and composition
 */
import { createUnifiedDatabase } from '../../src/db-unified.js';
import { SkillLibrary } from '../../src/controllers/SkillLibrary.js';
import { EmbeddingService } from '../../src/controllers/EmbeddingService.js';
import * as path from 'path';
export default {
    description: 'Skill library evolution with composition and refinement',
    async run(config) {
        const { verbosity = 2 } = config;
        if (verbosity >= 2) {
            console.log('   🛠️  Initializing Skill Evolution Simulation');
        }
        // Initialize AgentDB
        const embedder = new EmbeddingService({
            model: 'Xenova/all-MiniLM-L6-v2',
            dimension: 384,
            provider: 'transformers'
        });
        await embedder.initialize();
        const db = await createUnifiedDatabase(path.join(process.cwd(), 'simulation', 'data', 'skills.graph'), embedder, { forceMode: 'graph' });
        const skills = new SkillLibrary(db.getGraphDatabase(), embedder, undefined, // vectorBackend
        db.getGraphDatabase() // graphBackend
        );
        // Simulate skill creation and evolution
        const skillTemplates = [
            {
                name: 'jwt_authentication',
                description: 'Generate and verify JWT tokens',
                code: 'function generateJWT(payload) { return jwt.sign(payload, SECRET); }',
                successRate: 0.95
            },
            {
                name: 'database_query_optimizer',
                description: 'Optimize database queries with batch loading',
                code: 'function batchLoad(ids) { return DataLoader.load(ids); }',
                successRate: 0.88
            },
            {
                name: 'error_handler',
                description: 'Comprehensive error handling middleware',
                code: 'function errorHandler(err, req, res, next) { /* ... */ }',
                successRate: 0.92
            },
            {
                name: 'cache_manager',
                description: 'Redis-based caching with TTL',
                code: 'function cacheSet(key, val, ttl) { return redis.setex(key, ttl, val); }',
                successRate: 0.90
            },
            {
                name: 'validation_schema',
                description: 'Request validation with Zod schemas',
                code: 'const schema = z.object({ email: z.string().email() });',
                successRate: 0.93
            }
        ];
        const results = {
            created: 0,
            searched: 0,
            avgSuccessRate: 0,
            totalTime: 0
        };
        const startTime = performance.now();
        // Create skills
        for (const template of skillTemplates) {
            await skills.createSkill(template);
            results.created++;
            results.avgSuccessRate += template.successRate;
            if (verbosity >= 3) {
                console.log(`      ✅ Created skill: ${template.name}`);
            }
        }
        // Search for skills
        const searchQueries = [
            'authentication',
            'database optimization',
            'error handling',
            'caching',
            'validation'
        ];
        for (const query of searchQueries) {
            const found = await skills.searchSkills({
                query,
                k: 3,
                minSuccessRate: 0.8
            });
            results.searched += found.length;
            if (verbosity >= 3) {
                console.log(`      🔍 Found ${found.length} skills for: ${query}`);
            }
        }
        const endTime = performance.now();
        results.totalTime = endTime - startTime;
        results.avgSuccessRate /= skillTemplates.length;
        db.close();
        if (verbosity >= 2) {
            console.log(`      📊 Created: ${results.created} skills`);
            console.log(`      📊 Searched: ${results.searched} results`);
            console.log(`      📊 Avg Success Rate: ${(results.avgSuccessRate * 100).toFixed(1)}%`);
            console.log(`      ⏱️  Duration: ${results.totalTime.toFixed(2)}ms`);
        }
        return results;
    }
};
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