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>
22 lines
794 B
JavaScript
22 lines
794 B
JavaScript
import { useRef, useContext, useEffect } from 'react';
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import { MotionConfigContext } from '../context/MotionConfigContext.mjs';
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import { frame, cancelFrame } from '../frameloop/frame.mjs';
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function useAnimationFrame(callback) {
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const initialTimestamp = useRef(0);
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const { isStatic } = useContext(MotionConfigContext);
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useEffect(() => {
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if (isStatic)
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return;
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const provideTimeSinceStart = ({ timestamp, delta }) => {
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if (!initialTimestamp.current)
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initialTimestamp.current = timestamp;
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callback(timestamp - initialTimestamp.current, delta);
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};
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frame.update(provideTimeSinceStart, true);
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return () => cancelFrame(provideTimeSinceStart);
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}, [callback]);
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}
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export { useAnimationFrame };
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