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>
15 lines
724 B
JavaScript
15 lines
724 B
JavaScript
import toDate from "../../toDate/index.js";
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import startOfUTCISOWeek from "../startOfUTCISOWeek/index.js";
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import startOfUTCISOWeekYear from "../startOfUTCISOWeekYear/index.js";
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import requiredArgs from "../requiredArgs/index.js";
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var MILLISECONDS_IN_WEEK = 604800000;
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export default function getUTCISOWeek(dirtyDate) {
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requiredArgs(1, arguments);
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var date = toDate(dirtyDate);
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var diff = startOfUTCISOWeek(date).getTime() - startOfUTCISOWeekYear(date).getTime();
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// Round the number of days to the nearest integer
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// because the number of milliseconds in a week is not constant
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// (e.g. it's different in the week of the daylight saving time clock shift)
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return Math.round(diff / MILLISECONDS_IN_WEEK) + 1;
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} |