 85bf1341f3
			
		
	
	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>
		
			
				
	
	
		
			75 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
			
		
		
	
	
			75 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
| "use strict";Object.defineProperty(exports, "__esModule", {value: true}); function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }var _linesandcolumns = require('lines-and-columns'); var _linesandcolumns2 = _interopRequireDefault(_linesandcolumns);
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| 
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| 
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| var _types = require('../parser/tokenizer/types');
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| 
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|  function formatTokens(code, tokens) {
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|   if (tokens.length === 0) {
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|     return "";
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|   }
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| 
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|   const tokenKeys = Object.keys(tokens[0]).filter(
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|     (k) => k !== "type" && k !== "value" && k !== "start" && k !== "end" && k !== "loc",
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|   );
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|   const typeKeys = Object.keys(tokens[0].type).filter((k) => k !== "label" && k !== "keyword");
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| 
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|   const headings = ["Location", "Label", "Raw", ...tokenKeys, ...typeKeys];
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| 
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|   const lines = new (0, _linesandcolumns2.default)(code);
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|   const rows = [headings, ...tokens.map(getTokenComponents)];
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|   const padding = headings.map(() => 0);
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|   for (const components of rows) {
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|     for (let i = 0; i < components.length; i++) {
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|       padding[i] = Math.max(padding[i], components[i].length);
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|     }
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|   }
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|   return rows
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|     .map((components) => components.map((component, i) => component.padEnd(padding[i])).join(" "))
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|     .join("\n");
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| 
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|   function getTokenComponents(token) {
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|     const raw = code.slice(token.start, token.end);
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|     return [
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|       formatRange(token.start, token.end),
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|       _types.formatTokenType.call(void 0, token.type),
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|       truncate(String(raw), 14),
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|       // @ts-ignore: Intentional dynamic access by key.
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|       ...tokenKeys.map((key) => formatValue(token[key], key)),
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|       // @ts-ignore: Intentional dynamic access by key.
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|       ...typeKeys.map((key) => formatValue(token.type[key], key)),
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|     ];
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|   }
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| 
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|   // eslint-disable-next-line @typescript-eslint/no-explicit-any
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|   function formatValue(value, key) {
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|     if (value === true) {
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|       return key;
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|     } else if (value === false || value === null) {
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|       return "";
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|     } else {
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|       return String(value);
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|     }
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|   }
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| 
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|   function formatRange(start, end) {
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|     return `${formatPos(start)}-${formatPos(end)}`;
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|   }
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| 
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|   function formatPos(pos) {
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|     const location = lines.locationForIndex(pos);
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|     if (!location) {
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|       return "Unknown";
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|     } else {
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|       return `${location.line + 1}:${location.column + 1}`;
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|     }
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|   }
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| } exports.default = formatTokens;
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| 
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| function truncate(s, length) {
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|   if (s.length > length) {
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|     return `${s.slice(0, length - 3)}...`;
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|   } else {
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|     return s;
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|   }
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| }
 |