85bf1341f3
Frontend Enhancements: - Complete React TypeScript frontend with modern UI components - Distributed workflows management interface with real-time updates - Socket.IO integration for live agent status monitoring - Agent management dashboard with cluster visualization - Project management interface with metrics and task tracking - Responsive design with proper error handling and loading states Backend Infrastructure: - Distributed coordinator for multi-agent workflow orchestration - Cluster management API with comprehensive agent operations - Enhanced database models for agents and projects - Project service for filesystem-based project discovery - Performance monitoring and metrics collection - Comprehensive API documentation and error handling Documentation: - Complete distributed development guide (README_DISTRIBUTED.md) - Comprehensive development report with architecture insights - System configuration templates and deployment guides The platform now provides a complete web interface for managing the distributed AI cluster with real-time monitoring, workflow orchestration, and agent coordination capabilities. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
24 lines
549 B
JavaScript
24 lines
549 B
JavaScript
'use strict';
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const fs = require('fs');
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const shebangCommand = require('shebang-command');
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function readShebang(command) {
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// Read the first 150 bytes from the file
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const size = 150;
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const buffer = Buffer.alloc(size);
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let fd;
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try {
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fd = fs.openSync(command, 'r');
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fs.readSync(fd, buffer, 0, size, 0);
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fs.closeSync(fd);
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} catch (e) { /* Empty */ }
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// Attempt to extract shebang (null is returned if not a shebang)
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return shebangCommand(buffer.toString());
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}
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module.exports = readShebang;
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