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>
71 lines
1.4 KiB
JavaScript
71 lines
1.4 KiB
JavaScript
'use strict'
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let pico = require('picocolors')
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let tokenizer = require('./tokenize')
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let Input
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function registerInput(dependant) {
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Input = dependant
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}
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const HIGHLIGHT_THEME = {
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';': pico.yellow,
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':': pico.yellow,
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'(': pico.cyan,
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')': pico.cyan,
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'[': pico.yellow,
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']': pico.yellow,
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'{': pico.yellow,
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'}': pico.yellow,
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'at-word': pico.cyan,
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'brackets': pico.cyan,
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'call': pico.cyan,
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'class': pico.yellow,
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'comment': pico.gray,
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'hash': pico.magenta,
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'string': pico.green
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}
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function getTokenType([type, value], processor) {
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if (type === 'word') {
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if (value[0] === '.') {
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return 'class'
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}
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if (value[0] === '#') {
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return 'hash'
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}
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}
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if (!processor.endOfFile()) {
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let next = processor.nextToken()
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processor.back(next)
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if (next[0] === 'brackets' || next[0] === '(') return 'call'
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}
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return type
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}
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function terminalHighlight(css) {
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let processor = tokenizer(new Input(css), { ignoreErrors: true })
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let result = ''
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while (!processor.endOfFile()) {
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let token = processor.nextToken()
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let color = HIGHLIGHT_THEME[getTokenType(token, processor)]
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if (color) {
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result += token[1]
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.split(/\r?\n/)
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.map(i => color(i))
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.join('\n')
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} else {
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result += token[1]
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}
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}
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return result
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}
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terminalHighlight.registerInput = registerInput
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module.exports = terminalHighlight
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