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
732 B
JavaScript
24 lines
732 B
JavaScript
import requiredArgs from "../_lib/requiredArgs/index.js";
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import { millisecondsInHour } from "../constants/index.js";
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/**
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* @name hoursToMilliseconds
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* @category Conversion Helpers
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* @summary Convert hours to milliseconds.
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*
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* @description
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* Convert a number of hours to a full number of milliseconds.
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*
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* @param {number} hours - number of hours to be converted
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*
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* @returns {number} the number of hours converted to milliseconds
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* @throws {TypeError} 1 argument required
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*
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* @example
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* // Convert 2 hours to milliseconds:
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* const result = hoursToMilliseconds(2)
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* //=> 7200000
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*/
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export default function hoursToMilliseconds(hours) {
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requiredArgs(1, arguments);
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return Math.floor(hours * millisecondsInHour);
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} |