cost-claude/dist/cli/commands/insights.js

Claude Code cost monitoring, analytics, and optimization toolkit

import chalk from 'chalk';
import { logger } from '../../utils/logger.js';
import { UsageInsightsAnalyzer } from '../../services/usage-insights.js';
import { JSONLParser } from '../../core/jsonl-parser.js';
export async function insightsCommand(options) {
    try {
        const projectPath = options.path?.replace('~', process.env.HOME || '') ||
            `${process.env.HOME}/.claude/projects`;
        const days = parseInt(options.days || '30');
        if (isNaN(days) || days < 1) {
            console.error(chalk.red('Invalid days value. Must be a positive number.'));
            process.exit(1);
        }
        const parser = new JSONLParser();
        const analyzer = new UsageInsightsAnalyzer();
        console.log(chalk.blue(`Analyzing ${days} days of usage data...`));
        const allMessages = await parser.parseDirectory(projectPath);
        const cutoffDate = new Date();
        cutoffDate.setDate(cutoffDate.getDate() - days);
        const messages = allMessages.filter((msg) => msg.timestamp && new Date(msg.timestamp) >= cutoffDate);
        if (messages.length === 0) {
            console.log(chalk.yellow('⚠️  No messages found in the specified time range'));
            return;
        }
        console.log(chalk.dim(`Found ${messages.length} messages to analyze`));
        const insights = await analyzer.analyzeUsage(messages);
        if (options.format === 'json') {
            console.log(JSON.stringify(insights, null, 2));
            return;
        }
        console.log('\n' + analyzer.formatInsights(insights));
        if (options.export) {
            const { writeFileSync } = await import('fs');
            const exportData = {
                generated: new Date().toISOString(),
                period: `${days} days`,
                messagesAnalyzed: messages.length,
                insights
            };
            writeFileSync(options.export, JSON.stringify(exportData, null, 2));
            console.log(chalk.green(`\n✅ Insights exported to ${options.export}`));
        }
        const criticalCount = insights.filter(i => i.severity === 'critical').length;
        const warningCount = insights.filter(i => i.severity === 'warning').length;
        const potentialSavings = insights
            .filter(i => i.impact !== undefined)
            .reduce((sum, i) => sum + (i.impact || 0), 0);
        if (criticalCount > 0 || warningCount > 0 || potentialSavings > 0) {
            console.log('\n' + chalk.bold('🎯 Action Items:'));
            console.log('='.repeat(40));
            if (criticalCount > 0) {
                console.log(chalk.red(`1. Address ${criticalCount} critical issues immediately`));
            }
            if (warningCount > 0) {
                console.log(chalk.yellow(`2. Review ${warningCount} optimization opportunities`));
            }
            if (potentialSavings > 0.01) {
                console.log(chalk.green(`3. Save up to $${potentialSavings.toFixed(2)} by implementing recommendations`));
            }
            console.log('\n' + chalk.dim('Run with --export <file> to save full report'));
        }
    }
    catch (error) {
        logger.error('Insights command failed:', error);
        console.error(chalk.red('Error:'), error.message);
        process.exit(1);
    }
}
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