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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// 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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