context-crystallizer/dist/commands/init.js

AI Crystallization Engineering for Large Repositories - Transform massive repositories into crystallized, AI-consumable knowledge through systematic analysis and optimization. Crystallization extracts meaningful context from any readable files.

import { Command } from 'commander';
import chalk from 'chalk';
import { CrystallizerCore } from '../shared/crystallizer-core.js';
export function createInitCommand() {
    return new Command('init')
        .description('Initialize crystallization for a repository. Automatically respects .gitignore patterns.')
        .argument('<repo-path>', 'Path to the repository to crystallize')
        .option('-e, --exclude <patterns...>', 'Additional patterns to exclude (beyond .gitignore and defaults: node_modules, .git, dist, build)', ['node_modules', '.git', 'dist', 'build'])
        .action(async (repoPath, options) => {
        try {
            console.log(chalk.blue('🔮 Initializing crystallization...'));
            const core = new CrystallizerCore();
            const result = await core.initializeCrystallization(repoPath, options.exclude);
            console.log(chalk.green('✓ Crystallization initialized successfully!'));
            console.log(chalk.cyan(`📁 Repository: ${repoPath}`));
            console.log(chalk.cyan(`📊 Files queued: ${result.filesQueued}`));
            console.log(chalk.yellow('💡 Use "context-crystallizer progress" to monitor crystallization'));
        }
        catch (error) {
            console.error(chalk.red('❌ Failed to initialize crystallization:'));
            console.error(chalk.red(error instanceof Error ? error.message : String(error)));
            process.exit(1);
        }
    });
}
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