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>
32 lines
772 B
JavaScript
32 lines
772 B
JavaScript
"use strict";Object.defineProperty(exports, "__esModule", {value: true});
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var _base = require('./traverser/base');
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var _index = require('./traverser/index');
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class File {
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constructor(tokens, scopes) {
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this.tokens = tokens;
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this.scopes = scopes;
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}
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} exports.File = File;
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function parse(
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input,
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isJSXEnabled,
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isTypeScriptEnabled,
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isFlowEnabled,
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) {
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if (isFlowEnabled && isTypeScriptEnabled) {
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throw new Error("Cannot combine flow and typescript plugins.");
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}
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_base.initParser.call(void 0, input, isJSXEnabled, isTypeScriptEnabled, isFlowEnabled);
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const result = _index.parseFile.call(void 0, );
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if (_base.state.error) {
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throw _base.augmentError.call(void 0, _base.state.error);
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}
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return result;
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} exports.parse = parse;
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