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>
40 lines
743 B
JavaScript
40 lines
743 B
JavaScript
"use strict";
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Object.defineProperty(exports, "__esModule", {
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value: true
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});
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exports.findSuggestion = findSuggestion;
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const {
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min
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} = Math;
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function levenshtein(a, b) {
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let t = [],
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u = [],
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i,
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j;
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const m = a.length,
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n = b.length;
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if (!m) {
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return n;
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}
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if (!n) {
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return m;
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}
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for (j = 0; j <= n; j++) {
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t[j] = j;
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}
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for (i = 1; i <= m; i++) {
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for (u = [i], j = 1; j <= n; j++) {
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u[j] = a[i - 1] === b[j - 1] ? t[j - 1] : min(t[j - 1], t[j], u[j - 1]) + 1;
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}
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t = u;
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}
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return u[n];
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}
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function findSuggestion(str, arr) {
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const distances = arr.map(el => levenshtein(el, str));
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return arr[distances.indexOf(min(...distances))];
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}
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//# sourceMappingURL=find-suggestion.js.map
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