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>
26 lines
772 B
JavaScript
26 lines
772 B
JavaScript
import toDate from "../toDate/index.js";
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import requiredArgs from "../_lib/requiredArgs/index.js";
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/**
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* @name endOfDay
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* @category Day Helpers
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* @summary Return the end of a day for the given date.
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*
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* @description
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* Return the end of a day for the given date.
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* The result will be in the local timezone.
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*
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* @param {Date|Number} date - the original date
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* @returns {Date} the end of a day
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* @throws {TypeError} 1 argument required
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*
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* @example
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* // The end of a day for 2 September 2014 11:55:00:
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* const result = endOfDay(new Date(2014, 8, 2, 11, 55, 0))
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* //=> Tue Sep 02 2014 23:59:59.999
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*/
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export default function endOfDay(dirtyDate) {
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requiredArgs(1, arguments);
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var date = toDate(dirtyDate);
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date.setHours(23, 59, 59, 999);
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return date;
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} |