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>
31 lines
772 B
JavaScript
31 lines
772 B
JavaScript
var nativeCreate = require('./_nativeCreate');
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/** Used to stand-in for `undefined` hash values. */
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var HASH_UNDEFINED = '__lodash_hash_undefined__';
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/** Used for built-in method references. */
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var objectProto = Object.prototype;
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/** Used to check objects for own properties. */
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var hasOwnProperty = objectProto.hasOwnProperty;
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/**
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* Gets the hash value for `key`.
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*
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* @private
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* @name get
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* @memberOf Hash
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* @param {string} key The key of the value to get.
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* @returns {*} Returns the entry value.
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*/
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function hashGet(key) {
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var data = this.__data__;
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if (nativeCreate) {
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var result = data[key];
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return result === HASH_UNDEFINED ? undefined : result;
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}
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return hasOwnProperty.call(data, key) ? data[key] : undefined;
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}
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module.exports = hashGet;
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