claude-flow-multilang
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Revolutionary multilingual AI orchestration framework with cultural awareness and DDD architecture
655 lines (583 loc) • 22.6 kB
JavaScript
/**
* Enhanced UI Views for Claude-Flow Web UI
* Provides comprehensive interfaces for all 71+ missing MCP tools
* Organized by tool categories with real-time updates
*/
import ToolExecutionFramework from './tool-execution-framework.js';
// Enhanced view modes with all missing tool categories
const ENHANCED_VIEWS = {
PROCESSES: 'processes',
STATUS: 'status',
ORCHESTRATION: 'orchestration',
MEMORY: 'memory',
LOGS: 'logs',
HELP: 'help',
// New enhanced views for missing tools
NEURAL: 'neural', // Neural Network tools (15 tools)
ANALYSIS: 'analysis', // Analysis & Monitoring tools (13 tools)
WORKFLOW: 'workflow', // Workflow & Automation tools (11 tools)
GITHUB: 'github', // GitHub Integration tools (8 tools)
DAA: 'daa', // Dynamic Agent Architecture tools (8 tools)
SYSTEM: 'system', // System & Utilities tools (6+ tools)
TOOLS: 'tools', // Tool execution center
};
export class EnhancedUIViews {
constructor(ui) {
this.ui = ui;
this.toolFramework = new ToolExecutionFramework(ui);
this.selectedIndices = new Map(); // Track selection for each view
this.viewData = new Map(); // Store view-specific data
this.refreshIntervals = new Map(); // Auto-refresh intervals
// Initialize view data
this.initializeViewData();
// Setup auto-refresh for dynamic views
this.setupAutoRefresh();
}
/**
* Initialize data for all views
*/
initializeViewData() {
// Neural tools data
this.viewData.set('neural', {
models: [],
trainingJobs: [],
patterns: [],
selectedModel: null,
});
// Analysis data
this.viewData.set('analysis', {
reports: [],
metrics: [],
trends: [],
bottlenecks: [],
});
// Workflow data
this.viewData.set('workflow', {
workflows: [],
pipelines: [],
schedules: [],
templates: [],
});
// GitHub data
this.viewData.set('github', {
repositories: [],
pullRequests: [],
issues: [],
releases: [],
});
// DAA data
this.viewData.set('daa', {
dynamicAgents: [],
capabilities: [],
resources: [],
communications: [],
});
// System data
this.viewData.set('system', {
configs: [],
backups: [],
diagnostics: [],
security: [],
});
}
/**
* Setup auto-refresh for dynamic views
*/
setupAutoRefresh() {
// Refresh neural status every 10 seconds
this.refreshIntervals.set(
'neural',
setInterval(() => {
if (this.ui.currentView === ENHANCED_VIEWS.NEURAL) {
this.refreshNeuralData();
}
}, 10000),
);
// Refresh analysis data every 30 seconds
this.refreshIntervals.set(
'analysis',
setInterval(() => {
if (this.ui.currentView === ENHANCED_VIEWS.ANALYSIS) {
this.refreshAnalysisData();
}
}, 30000),
);
}
/**
* Render Neural Network Tools View (15 tools)
*/
renderNeuralView() {
const colors = this.ui.colors || this.getColors();
const data = this.viewData.get('neural');
console.log(colors.white(colors.bold('🧠 Neural Network Management')));
console.log();
// Neural status overview
console.log(colors.cyan('📊 Neural Status'));
console.log(` Available Models: ${colors.yellow(data.models.length || 0)}`);
console.log(
` Training Jobs: ${colors.green(data.trainingJobs.filter((j) => j.status === 'running').length)} running`,
);
console.log(` WASM Support: ${colors.green('✓ Enabled')}`);
console.log(` SIMD Acceleration: ${colors.green('✓ Active')}`);
console.log();
// Neural tools grid
console.log(colors.cyan('🔧 Neural Tools'));
const neuralTools = [
{ key: '1', tool: 'neural_train', desc: 'Train neural patterns' },
{ key: '2', tool: 'neural_predict', desc: 'Make predictions' },
{ key: '3', tool: 'neural_status', desc: 'Check model status' },
{ key: '4', tool: 'model_save', desc: 'Save trained model' },
{ key: '5', tool: 'model_load', desc: 'Load existing model' },
{ key: '6', tool: 'pattern_recognize', desc: 'Recognize patterns' },
{ key: '7', tool: 'cognitive_analyze', desc: 'Analyze behavior' },
{ key: '8', tool: 'learning_adapt', desc: 'Adaptive learning' },
{ key: '9', tool: 'neural_compress', desc: 'Compress models' },
{ key: 'a', tool: 'ensemble_create', desc: 'Create ensembles' },
{ key: 'b', tool: 'transfer_learn', desc: 'Transfer learning' },
{ key: 'c', tool: 'neural_explain', desc: 'Explain predictions' },
{ key: 'd', tool: 'wasm_optimize', desc: 'WASM optimization' },
{ key: 'e', tool: 'inference_run', desc: 'Run inference' },
];
this.renderToolGrid(neuralTools, colors);
// Recent training jobs
console.log();
console.log(colors.cyan('🎯 Recent Training Jobs'));
if (data.trainingJobs.length > 0) {
data.trainingJobs.slice(0, 3).forEach((job) => {
const status =
job.status === 'completed'
? colors.green('✓')
: job.status === 'running'
? colors.yellow('⟳')
: colors.gray('○');
console.log(
` ${status} ${job.pattern_type} - Accuracy: ${(job.accuracy * 100).toFixed(1)}% (${job.epochs} epochs)`,
);
});
} else {
console.log(colors.gray(' No training jobs yet'));
}
}
/**
* Render Analysis & Monitoring View (13 tools)
*/
renderAnalysisView() {
const colors = this.getColors();
const data = this.viewData.get('analysis');
console.log(colors.white(colors.bold('📊 Analysis & Monitoring')));
console.log();
// System metrics overview
console.log(colors.cyan('📈 System Metrics'));
console.log(` Token Usage: ${colors.yellow('1.2M')} (${colors.green('-32.3%')} reduction)`);
console.log(` Success Rate: ${colors.green('84.8%')} (SWE-Bench)`);
console.log(` Speed Improvement: ${colors.green('2.8-4.4x')} faster`);
console.log(` Memory Efficiency: ${colors.green('78%')}`);
console.log();
// Analysis tools grid
console.log(colors.cyan('🔧 Analysis Tools'));
const analysisTools = [
{ key: '1', tool: 'performance_report', desc: 'Generate performance reports' },
{ key: '2', tool: 'bottleneck_analyze', desc: 'Identify bottlenecks' },
{ key: '3', tool: 'token_usage', desc: 'Analyze token consumption' },
{ key: '4', tool: 'benchmark_run', desc: 'Run benchmarks' },
{ key: '5', tool: 'metrics_collect', desc: 'Collect system metrics' },
{ key: '6', tool: 'trend_analysis', desc: 'Analyze trends' },
{ key: '7', tool: 'cost_analysis', desc: 'Resource cost analysis' },
{ key: '8', tool: 'quality_assess', desc: 'Quality assessment' },
{ key: '9', tool: 'error_analysis', desc: 'Error pattern analysis' },
{ key: 'a', tool: 'usage_stats', desc: 'Usage statistics' },
{ key: 'b', tool: 'health_check', desc: 'System health check' },
{ key: 'c', tool: 'task_status', desc: 'Check task status' },
{ key: 'd', tool: 'task_results', desc: 'Get task results' },
];
this.renderToolGrid(analysisTools, colors);
// Recent reports
console.log();
console.log(colors.cyan('📋 Recent Reports'));
const mockReports = [
{ name: 'Daily Performance', time: '2h ago', status: 'completed' },
{ name: 'Token Analysis', time: '4h ago', status: 'completed' },
{ name: 'System Health', time: '6h ago', status: 'completed' },
];
mockReports.forEach((report) => {
const status = colors.green('✓');
console.log(` ${status} ${report.name} (${colors.gray(report.time)})`);
});
}
/**
* Render Workflow & Automation View (11 tools)
*/
renderWorkflowView() {
const colors = this.getColors();
const workflows = this.toolFramework.getPredefinedWorkflows();
console.log(colors.white(colors.bold('🔄 Workflow & Automation')));
console.log();
// Workflow status
console.log(colors.cyan('📊 Workflow Status'));
console.log(` Active Workflows: ${colors.yellow(Object.keys(workflows).length)}`);
console.log(` Scheduled Tasks: ${colors.green('12')} running`);
console.log(` Automation Rules: ${colors.blue('8')} active`);
console.log();
// Workflow tools
console.log(colors.cyan('🔧 Workflow Tools'));
const workflowTools = [
{ key: '1', tool: 'workflow_create', desc: 'Create custom workflow' },
{ key: '2', tool: 'workflow_execute', desc: 'Execute workflow' },
{ key: '3', tool: 'sparc_mode', desc: 'SPARC development modes' },
{ key: '4', tool: 'automation_setup', desc: 'Setup automation' },
{ key: '5', tool: 'pipeline_create', desc: 'Create CI/CD pipeline' },
{ key: '6', tool: 'scheduler_manage', desc: 'Manage scheduling' },
{ key: '7', tool: 'trigger_setup', desc: 'Setup triggers' },
{ key: '8', tool: 'batch_process', desc: 'Batch processing' },
{ key: '9', tool: 'parallel_execute', desc: 'Parallel execution' },
{ key: 'a', tool: 'workflow_template', desc: 'Workflow templates' },
{ key: 'b', tool: 'workflow_export', desc: 'Export workflows' },
];
this.renderToolGrid(workflowTools, colors);
// Predefined workflows
console.log();
console.log(colors.cyan('📋 Predefined Workflows'));
Object.entries(workflows).forEach(([key, workflow], index) => {
const prefix = colors.yellow(`${index + 1}.`);
console.log(` ${prefix} ${workflow.name}`);
console.log(` ${colors.gray(workflow.description)}`);
console.log(` ${colors.dim(`${workflow.steps.length} steps`)}`);
});
}
/**
* Render GitHub Integration View (8 tools)
*/
renderGitHubView() {
const colors = this.getColors();
console.log(colors.white(colors.bold('🐙 GitHub Integration')));
console.log();
// GitHub status
console.log(colors.cyan('📊 GitHub Status'));
console.log(` Connected Repos: ${colors.yellow('5')}`);
console.log(` Active PRs: ${colors.green('12')}`);
console.log(` Open Issues: ${colors.blue('8')}`);
console.log(` Release Pipeline: ${colors.green('✓ Active')}`);
console.log();
// GitHub tools
console.log(colors.cyan('🔧 GitHub Tools'));
const githubTools = [
{ key: '1', tool: 'github_repo_analyze', desc: 'Analyze repository' },
{ key: '2', tool: 'github_pr_manage', desc: 'Manage pull requests' },
{ key: '3', tool: 'github_issue_track', desc: 'Track issues' },
{ key: '4', tool: 'github_release_coord', desc: 'Coordinate releases' },
{ key: '5', tool: 'github_workflow_auto', desc: 'Workflow automation' },
{ key: '6', tool: 'github_code_review', desc: 'Automated code review' },
{ key: '7', tool: 'github_sync_coord', desc: 'Multi-repo sync' },
{ key: '8', tool: 'github_metrics', desc: 'Repository metrics' },
];
this.renderToolGrid(githubTools, colors);
// Recent activity
console.log();
console.log(colors.cyan('🔔 Recent Activity'));
const mockActivity = [
{ action: 'PR merged', repo: 'claude-code-flow', time: '1h ago' },
{ action: 'Issue closed', repo: 'ruv-swarm', time: '2h ago' },
{ action: 'Release created', repo: 'claude-code-flow', time: '4h ago' },
];
mockActivity.forEach((activity) => {
console.log(
` ${colors.green('✓')} ${activity.action} in ${colors.yellow(activity.repo)} (${colors.gray(activity.time)})`,
);
});
}
/**
* Render DAA (Dynamic Agent Architecture) View (8 tools)
*/
renderDAAView() {
const colors = this.getColors();
console.log(colors.white(colors.bold('🤖 Dynamic Agent Architecture')));
console.log();
// DAA status
console.log(colors.cyan('📊 DAA Status'));
console.log(` Dynamic Agents: ${colors.yellow('15')} active`);
console.log(` Resource Pool: ${colors.green('78%')} available`);
console.log(` Communication: ${colors.green('✓ Optimal')}`);
console.log(` Consensus: ${colors.blue('92%')} agreement`);
console.log();
// DAA tools
console.log(colors.cyan('🔧 DAA Tools'));
const daaTools = [
{ key: '1', tool: 'daa_agent_create', desc: 'Create dynamic agent' },
{ key: '2', tool: 'daa_capability_match', desc: 'Match capabilities' },
{ key: '3', tool: 'daa_resource_alloc', desc: 'Resource allocation' },
{ key: '4', tool: 'daa_lifecycle_manage', desc: 'Lifecycle management' },
{ key: '5', tool: 'daa_communication', desc: 'Inter-agent communication' },
{ key: '6', tool: 'daa_consensus', desc: 'Consensus mechanisms' },
{ key: '7', tool: 'daa_fault_tolerance', desc: 'Fault tolerance' },
{ key: '8', tool: 'daa_optimization', desc: 'Performance optimization' },
];
this.renderToolGrid(daaTools, colors);
// Agent pool
console.log();
console.log(colors.cyan('🎯 Agent Pool'));
const mockAgents = [
{ type: 'researcher', count: 4, status: 'active' },
{ type: 'coder', count: 6, status: 'active' },
{ type: 'analyst', count: 3, status: 'idle' },
{ type: 'coordinator', count: 2, status: 'active' },
];
mockAgents.forEach((agent) => {
const status = agent.status === 'active' ? colors.green('●') : colors.gray('○');
console.log(` ${status} ${agent.type}: ${colors.yellow(agent.count)} agents`);
});
}
/**
* Render System & Utilities View (6+ tools)
*/
renderSystemView() {
const colors = this.getColors();
console.log(colors.white(colors.bold('🛠️ System & Utilities')));
console.log();
// System status
console.log(colors.cyan('📊 System Status'));
console.log(` Security Status: ${colors.green('✓ Secure')}`);
console.log(` Backup Status: ${colors.green('✓ Current')}`);
console.log(` Diagnostics: ${colors.green('✓ Healthy')}`);
console.log(` Configuration: ${colors.blue('Optimized')}`);
console.log();
// System tools
console.log(colors.cyan('🔧 System Tools'));
const systemTools = [
{ key: '1', tool: 'config_manage', desc: 'Configuration management' },
{ key: '2', tool: 'security_scan', desc: 'Security scanning' },
{ key: '3', tool: 'backup_create', desc: 'Create system backup' },
{ key: '4', tool: 'restore_system', desc: 'System restoration' },
{ key: '5', tool: 'log_analysis', desc: 'Log analysis' },
{ key: '6', tool: 'diagnostic_run', desc: 'Run diagnostics' },
{ key: '7', tool: 'terminal_execute', desc: 'Execute commands' },
{ key: '8', tool: 'features_detect', desc: 'Feature detection' },
];
this.renderToolGrid(systemTools, colors);
// System health
console.log();
console.log(colors.cyan('❤️ System Health'));
const healthItems = [
{ component: 'CPU', status: 'optimal', value: '12%' },
{ component: 'Memory', status: 'good', value: '68%' },
{ component: 'Disk', status: 'optimal', value: '45%' },
{ component: 'Network', status: 'excellent', value: '2ms' },
];
healthItems.forEach((item) => {
const status =
item.status === 'excellent'
? colors.green('🟢')
: item.status === 'optimal'
? colors.green('🟢')
: item.status === 'good'
? colors.yellow('🟡')
: colors.red('🔴');
console.log(` ${status} ${item.component}: ${colors.yellow(item.value)}`);
});
}
/**
* Render Tool Execution Center
*/
renderToolsView() {
const colors = this.getColors();
const status = this.toolFramework.getStatus();
console.log(colors.white(colors.bold('🎛️ Tool Execution Center')));
console.log();
// Execution status
console.log(colors.cyan('📊 Execution Status'));
console.log(
` Active Executions: ${colors.yellow(status.currentExecutions)}/${status.maxConcurrent}`,
);
console.log(` Queued Executions: ${colors.blue(status.queuedExecutions)}`);
console.log(` Available Tools: ${colors.green(status.availableTools)}`);
console.log(` Available Workflows: ${colors.magenta(status.availableWorkflows)}`);
console.log();
// Tool categories
console.log(colors.cyan('📂 Tool Categories'));
const categories = this.toolFramework.getCategories();
categories.forEach((category, index) => {
const tools = this.toolFramework.getToolsByCategory(category);
const prefix = colors.yellow(`${index + 1}.`);
console.log(` ${prefix} ${category.toUpperCase()}: ${colors.gray(`${tools.length} tools`)}`);
});
// Quick actions
console.log();
console.log(colors.cyan('⚡ Quick Actions'));
console.log(` ${colors.yellow('r')} - Run custom tool`);
console.log(` ${colors.yellow('w')} - Execute workflow`);
console.log(` ${colors.yellow('b')} - Batch execution`);
console.log(` ${colors.yellow('s')} - Show execution status`);
}
/**
* Render tool grid helper
*/
renderToolGrid(tools, colors, columns = 2) {
for (let i = 0; i < tools.length; i += columns) {
let row = '';
for (let j = 0; j < columns && i + j < tools.length; j++) {
const tool = tools[i + j];
const keyLabel = colors.yellow(`[${tool.key}]`);
const toolName = colors.white(tool.tool);
const desc = colors.gray(tool.desc);
row += ` ${keyLabel} ${toolName} - ${desc}`;
if (j < columns - 1) row += ' ';
}
console.log(row);
}
}
/**
* Handle enhanced view input
*/
async handleEnhancedInput(key, currentView) {
try {
switch (currentView) {
case ENHANCED_VIEWS.NEURAL:
return await this.handleNeuralInput(key);
case ENHANCED_VIEWS.ANALYSIS:
return await this.handleAnalysisInput(key);
case ENHANCED_VIEWS.WORKFLOW:
return await this.handleWorkflowInput(key);
case ENHANCED_VIEWS.GITHUB:
return await this.handleGitHubInput(key);
case ENHANCED_VIEWS.DAA:
return await this.handleDAAInput(key);
case ENHANCED_VIEWS.SYSTEM:
return await this.handleSystemInput(key);
case ENHANCED_VIEWS.TOOLS:
return await this.handleToolsInput(key);
default:
return false;
}
} catch (error) {
this.ui.addLog('error', `Input handling error: ${error.message}`);
return true;
}
}
/**
* Handle neural view input
*/
async handleNeuralInput(key) {
const neuralActions = {
1: () => this.promptNeuralTrain(),
2: () => this.promptNeuralPredict(),
3: () => this.executeQuickTool('neural_status'),
4: () => this.promptModelSave(),
5: () => this.promptModelLoad(),
6: () => this.executeQuickTool('pattern_recognize', { data: ['sample_data'] }),
7: () =>
this.executeQuickTool('cognitive_analyze', { behavior: 'coordination_optimization' }),
8: () =>
this.executeQuickTool('learning_adapt', { experience: { type: 'coordination_success' } }),
9: () => this.promptModelCompress(),
a: () => this.promptEnsembleCreate(),
b: () => this.promptTransferLearn(),
c: () => this.promptNeuralExplain(),
d: () => this.executeQuickTool('wasm_optimize', { operation: 'neural_inference' }),
e: () => this.promptInferenceRun(),
};
const action = neuralActions[key];
if (action) {
await action();
return true;
}
return false;
}
/**
* Execute quick tool with default parameters
*/
async executeQuickTool(toolName, parameters = {}) {
try {
this.ui.addLog('info', `Executing ${toolName}...`);
const result = await this.toolFramework.executeTool(toolName, parameters);
this.ui.addLog('success', `${toolName} completed successfully`);
this.displayToolResult(result);
} catch (error) {
this.ui.addLog('error', `${toolName} failed: ${error.message}`);
}
}
/**
* Display formatted tool result
*/
displayToolResult(execution) {
const colors = this.getColors();
if (execution.result) {
console.log();
console.log(colors.cyan('📋 Execution Result:'));
console.log(colors.white(` ${execution.result.title}`));
console.log(colors.gray(` ${execution.result.summary}`));
if (execution.result.details) {
execution.result.details.forEach((detail) => {
console.log(colors.dim(` ${detail}`));
});
}
}
}
/**
* Prompt for neural training
*/
async promptNeuralTrain() {
// In a real implementation, this would show an interactive form
const params = {
pattern_type: 'coordination',
epochs: 50,
training_data: 'recent_swarm_data',
};
await this.executeQuickTool('neural_train', params);
}
/**
* Refresh neural data
*/
async refreshNeuralData() {
try {
const status = await this.toolFramework.executeTool('neural_status');
// Update view data with fresh neural status
const data = this.viewData.get('neural');
data.lastUpdate = new Date();
} catch (error) {
// Silently handle refresh errors
}
}
/**
* Refresh analysis data
*/
async refreshAnalysisData() {
try {
const report = await this.toolFramework.executeTool('performance_report', {
timeframe: '1h',
});
// Update view data with fresh metrics
const data = this.viewData.get('analysis');
data.lastUpdate = new Date();
} catch (error) {
// Silently handle refresh errors
}
}
/**
* Get color utilities
*/
getColors() {
return {
cyan: (text) => `\x1b[36m${text}\x1b[0m`,
gray: (text) => `\x1b[90m${text}\x1b[0m`,
white: (text) => `\x1b[37m${text}\x1b[0m`,
yellow: (text) => `\x1b[33m${text}\x1b[0m`,
green: (text) => `\x1b[32m${text}\x1b[0m`,
red: (text) => `\x1b[31m${text}\x1b[0m`,
blue: (text) => `\x1b[34m${text}\x1b[0m`,
magenta: (text) => `\x1b[35m${text}\x1b[0m`,
bold: (text) => `\x1b[1m${text}\x1b[0m`,
dim: (text) => `\x1b[2m${text}\x1b[0m`,
};
}
/**
* Cleanup resources
*/
cleanup() {
// Clear all refresh intervals
for (const interval of this.refreshIntervals.values()) {
clearInterval(interval);
}
this.refreshIntervals.clear();
}
}
export { EnhancedUIViews, ENHANCED_VIEWS };
export default EnhancedUIViews;