 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>
		
			
				
	
	
		
			55 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
			
		
		
	
	
			55 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
| "use client";
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| 
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| // src/HydrationBoundary.tsx
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| import * as React from "react";
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| import { hydrate } from "@tanstack/query-core";
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| import { useQueryClient } from "./QueryClientProvider.js";
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| var HydrationBoundary = ({
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|   children,
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|   options = {},
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|   state,
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|   queryClient
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| }) => {
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|   const client = useQueryClient(queryClient);
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|   const optionsRef = React.useRef(options);
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|   optionsRef.current = options;
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|   const hydrationQueue = React.useMemo(() => {
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|     if (state) {
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|       if (typeof state !== "object") {
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|         return;
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|       }
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|       const queryCache = client.getQueryCache();
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|       const queries = state.queries || [];
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|       const newQueries = [];
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|       const existingQueries = [];
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|       for (const dehydratedQuery of queries) {
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|         const existingQuery = queryCache.get(dehydratedQuery.queryHash);
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|         if (!existingQuery) {
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|           newQueries.push(dehydratedQuery);
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|         } else {
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|           const hydrationIsNewer = dehydratedQuery.state.dataUpdatedAt > existingQuery.state.dataUpdatedAt || dehydratedQuery.promise && existingQuery.state.status !== "pending" && existingQuery.state.fetchStatus !== "fetching" && dehydratedQuery.dehydratedAt !== void 0 && dehydratedQuery.dehydratedAt > existingQuery.state.dataUpdatedAt;
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|           if (hydrationIsNewer) {
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|             existingQueries.push(dehydratedQuery);
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|           }
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|         }
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|       }
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|       if (newQueries.length > 0) {
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|         hydrate(client, { queries: newQueries }, optionsRef.current);
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|       }
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|       if (existingQueries.length > 0) {
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|         return existingQueries;
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|       }
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|     }
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|     return void 0;
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|   }, [client, state]);
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|   React.useEffect(() => {
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|     if (hydrationQueue) {
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|       hydrate(client, { queries: hydrationQueue }, optionsRef.current);
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|     }
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|   }, [client, hydrationQueue]);
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|   return children;
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| };
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| export {
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|   HydrationBoundary
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| };
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| //# sourceMappingURL=HydrationBoundary.js.map
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