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>
96 lines
3.0 KiB
JavaScript
96 lines
3.0 KiB
JavaScript
/**
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* @fileoverview TAP reporter
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* @author Jonathan Kingston
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*/
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"use strict";
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const yaml = require("js-yaml");
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//------------------------------------------------------------------------------
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// Helper Functions
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//------------------------------------------------------------------------------
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/**
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* Returns a canonical error level string based upon the error message passed in.
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* @param {Object} message Individual error message provided by eslint
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* @returns {string} Error level string
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*/
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function getMessageType(message) {
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if (message.fatal || message.severity === 2) {
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return "error";
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}
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return "warning";
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}
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/**
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* Takes in a JavaScript object and outputs a TAP diagnostics string
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* @param {Object} diagnostic JavaScript object to be embedded as YAML into output.
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* @returns {string} diagnostics string with YAML embedded - TAP version 13 compliant
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*/
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function outputDiagnostics(diagnostic) {
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const prefix = " ";
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let output = `${prefix}---\n`;
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output += prefix + yaml.dump(diagnostic).split("\n").join(`\n${prefix}`);
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output += "...\n";
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return output;
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}
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//------------------------------------------------------------------------------
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// Public Interface
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//------------------------------------------------------------------------------
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module.exports = function(results) {
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let output = `TAP version 13\n1..${results.length}\n`;
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results.forEach((result, id) => {
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const messages = result.messages;
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let testResult = "ok";
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let diagnostics = {};
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if (messages.length > 0) {
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messages.forEach(message => {
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const severity = getMessageType(message);
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const diagnostic = {
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message: message.message,
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severity,
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data: {
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line: message.line || 0,
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column: message.column || 0,
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ruleId: message.ruleId || ""
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}
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};
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// This ensures a warning message is not flagged as error
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if (severity === "error") {
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testResult = "not ok";
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}
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/*
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* If we have multiple messages place them under a messages key
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* The first error will be logged as message key
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* This is to adhere to TAP 13 loosely defined specification of having a message key
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*/
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if ("message" in diagnostics) {
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if (typeof diagnostics.messages === "undefined") {
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diagnostics.messages = [];
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}
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diagnostics.messages.push(diagnostic);
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} else {
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diagnostics = diagnostic;
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}
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});
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}
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output += `${testResult} ${id + 1} - ${result.filePath}\n`;
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// If we have an error include diagnostics
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if (messages.length > 0) {
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output += outputDiagnostics(diagnostics);
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}
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});
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return output;
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};
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