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script.js
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// Navigation functionality - removed old NavigationManager class
console.log('Script.js loaded successfully!');
console.log('Testing JavaScript execution...');
// Chat functionality
class ChatManager {
constructor() {
this.chatInput = document.getElementById('chatInput');
this.sendButton = document.getElementById('sendButton');
this.chatMessages = document.getElementById('chatMessages');
this.clearChatBtn = document.getElementById('clearChat');
this.newChatBtn = document.getElementById('newChat');
this.initializeEventListeners();
this.autoResizeTextarea();
}
initializeEventListeners() {
// Send message on button click
this.sendButton.addEventListener('click', () => this.sendMessage());
// Send message on Enter key (but allow Shift+Enter for new lines)
this.chatInput.addEventListener('keydown', (e) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();
this.sendMessage();
}
});
// Clear chat
this.clearChatBtn.addEventListener('click', () => this.clearChat());
// New chat
this.newChatBtn.addEventListener('click', () => this.startNewChat());
}
autoResizeTextarea() {
this.chatInput.addEventListener('input', () => {
this.chatInput.style.height = 'auto';
this.chatInput.style.height = Math.min(this.chatInput.scrollHeight, 200) + 'px';
});
}
sendMessage() {
const message = this.chatInput.value.trim();
if (!message) return;
// Add user message
this.addMessage(message, 'user');
// Clear input
this.chatInput.value = '';
this.chatInput.style.height = 'auto';
// Simulate AI response
setTimeout(() => {
this.generateAIResponse(message);
}, 1000);
}
addMessage(text, sender, isFlowResponse = false, messageType = 'normal') {
const messageDiv = document.createElement('div');
messageDiv.className = `message ${sender}-message`;
const avatar = document.createElement('div');
avatar.className = 'message-avatar';
avatar.innerHTML = sender === 'user' ? '<i class="fas fa-user"></i>' : '<i class="fas fa-robot"></i>';
const content = document.createElement('div');
content.className = 'message-content';
const messageText = document.createElement('div');
messageText.className = 'message-text';
// Set up styling first
if (isFlowResponse) {
messageText.className += ' flow-response-text';
messageText.style.cursor = 'default';
messageText.style.border = '2px solid #28a745';
messageText.style.backgroundColor = '#f0fff4';
} else if (messageType === 'error') {
messageText.style.color = '#dc3545';
messageText.style.backgroundColor = '#f8d7da';
messageText.style.border = '1px solid #f5c6cb';
messageText.style.borderRadius = '4px';
messageText.style.padding = '0.75rem';
} else if (sender === 'assistant') {
messageText.className += ' assistant-text';
}
const messageTime = document.createElement('div');
messageTime.className = 'message-time';
messageTime.textContent = new Date().toLocaleTimeString();
content.appendChild(messageText);
content.appendChild(messageTime);
messageDiv.appendChild(avatar);
messageDiv.appendChild(content);
this.chatMessages.appendChild(messageDiv);
this.scrollToBottom();
// Start typewriter effect for assistant messages
if (sender === 'assistant') {
this.typewriterEffect(messageText, text, isFlowResponse);
} else {
messageText.textContent = text;
}
}
typewriterEffect(element, text, isFlowResponse = false) {
let index = 0;
const speed = isFlowResponse ? 4 : 6; // 5x faster: 20->4, 30->6
const cursor = document.createElement('span');
cursor.textContent = '|';
cursor.style.animation = 'blink 1s infinite';
cursor.style.color = '#007bff';
element.appendChild(cursor);
const typeInterval = setInterval(() => {
if (index < text.length) {
// Remove cursor, add character, add cursor back
element.removeChild(cursor);
element.textContent = text.substring(0, index + 1);
element.appendChild(cursor);
index++;
// Scroll to bottom as text appears
this.scrollToBottom();
} else {
// Remove cursor when done
element.removeChild(cursor);
clearInterval(typeInterval);
// Auto-generate flow if it's a flow response
if (isFlowResponse) {
setTimeout(() => {
if (window.flowsManager) {
window.flowsManager.generateFlowFromChat();
}
}, 1000);
}
}
}, speed);
}
generateAIResponse(userMessage) {
let response = '';
let isFlowResponse = false;
const lowerMessage = userMessage.toLowerCase();
// Handle configuration choice responses FIRST (highest priority)
if (window.flowsManager && window.flowsManager.isWaitingForConfigChoice) {
window.flowsManager.handleConfigChoice(userMessage, window.flowsManager.pendingConfigComponent);
return; // Don't process any other response logic
}
// Handle command actions
if (lowerMessage.includes('run') || lowerMessage.includes('execute')) {
if (window.flowsManager) {
window.flowsManager.runFlow();
}
return; // Don't add additional response, the runFlow method handles messaging
} else if (lowerMessage.includes('deploy')) {
if (window.flowsManager) {
window.flowsManager.deployFlow();
}
return; // Don't add additional response, the deployFlow method handles messaging
} else if (lowerMessage.includes('export') || lowerMessage.includes('save')) {
if (window.flowsManager) {
window.flowsManager.exportFlow();
}
return; // Don't add additional response, the exportFlow method handles messaging
} else if (lowerMessage.includes('new flow') || lowerMessage.includes('create flow')) {
if (window.flowsManager) {
window.flowsManager.createNewFlow();
}
return; // Don't add additional response, the createNewFlow method handles messaging
} else if (lowerMessage.includes('payload') || lowerMessage.includes('sample')) {
if (window.flowsManager) {
window.flowsManager.showSamplePayload();
}
return; // Don't add additional response, the showSamplePayload method handles messaging
} else if (lowerMessage.includes('response') || lowerMessage.includes('result')) {
if (window.flowsManager) {
window.flowsManager.showResponsePayloads();
}
return; // Don't add additional response, the showResponsePayloads method handles messaging
}
// Handle component configuration commands
else if (lowerMessage.includes('configure') || lowerMessage.includes('config')) {
if (window.flowsManager) {
window.flowsManager.handleConfigCommand(userMessage);
}
return; // Don't add additional response, the handleConfigCommand method handles messaging
}
// Enhanced response logic with detailed reasoning and step-by-step explanations
if (lowerMessage.includes('onboard') || lowerMessage.includes('employee')) {
response = `π§ Analysis & Reasoning:
I understand you want to create an Employee Onboarding Flow. Let me break down the integration requirements and design approach:
π Business Requirements Analysis:
β’ Trigger: New employee data received via HTTP POST
β’ Validation: Ensure all required fields are present and valid
β’ Parallel Processing: Multiple systems need to be provisioned simultaneously
β’ Data Aggregation: Collect responses from all systems
β’ Persistence: Log the onboarding status for audit trail
π§ Technical Architecture:
Step 1: HTTP Listener receives JSON payload with employee details
Step 2: Input validation ensures data integrity (name, email, department)
Step 3: Scatter-Gather pattern initiates parallel API calls:
β’ Directory System API β Create user account
β’ Email System API β Create mailbox
β’ Slack API β Invite to workspace
β’ Workday API β Create employee record
Step 4: Gather component aggregates all responses
Step 5: Database connector logs final status
β‘ Performance Considerations:
β’ Parallel execution reduces total processing time
β’ Error handling ensures partial failures don't block entire process
β’ Response aggregation provides comprehensive status
π― Auto-Generating Flow: Creating the Employee Onboarding Flow with this architecture automatically...
β³ Processing: Flow will appear on canvas in a moment with all components configured.`;
isFlowResponse = true;
} else if (lowerMessage.includes('mulesoft') || lowerMessage.includes('flow')) {
response = `π§ MuleSoft Integration Expertise:
π My Capabilities Analysis:
I specialize in MuleSoft integration patterns and can help you with:
π§ Component Architecture:
β’ HTTP Listener: REST/SOAP endpoint configuration and security
β’ Transform Message: DataWeave 2.0 transformations and data mapping
β’ Database Connector: CRUD operations, connection pooling, transactions
β’ Choice Router: Conditional logic and routing strategies
β’ For Each & Batch Job: Bulk processing and iteration patterns
π System Connectors:
β’ Salesforce Connector: CRM integration, object operations, bulk processing
β’ SAP Connector: ERP integration, IDoc processing, RFC calls
β’ File/FTP Connectors: File processing, batch operations, scheduling
β’ Email Connector: SMTP configuration, attachments, templates
π οΈ Development Support:
β’ Flow Design: Best practices, error handling, performance optimization
β’ DataWeave: Syntax, functions, data transformation patterns
β’ Debugging: Logging strategies, error diagnosis, troubleshooting
β’ Deployment: Environment management, configuration, monitoring
β‘ Quick Commands Available:
β’ run - Execute current flow with detailed monitoring
β’ deploy - Deploy to production with validation checks
β’ export - Save flow configuration and dependencies
β’ new flow - Create new integration flow from scratch
π‘ What specific integration challenge are you working on?`;
} else if (lowerMessage.includes('dataweave') || lowerMessage.includes('transform')) {
response = `π§ DataWeave 2.0 Deep Dive:
π Language Analysis:
DataWeave 2.0 is MuleSoft's functional transformation language designed for:
β’ Type Safety: Strong typing with automatic type inference
β’ Functional Programming: Immutable data structures and pure functions
β’ Performance: Optimized for large data processing
β’ Readability: Declarative syntax for complex transformations
π§ Core Concepts:
1. Data Types: String, Number, Boolean, DateTime, Object, Array
2. Selectors: Dot notation, bracket notation, wildcards
3. Functions: Built-in functions for data manipulation
4. Operators: Mathematical, logical, comparison operators
5. Flow Control: if-else, unless, map, filter, reduce
π‘ Common Patterns:
β’ Data Mapping: Transform between different data formats
β’ Data Filtering: Extract specific records or fields
β’ Data Aggregation: Group, sum, count, average operations
β’ Data Validation: Check data integrity and format
π― Transform Message Component:
The Transform Message component in your flows uses DataWeave for:
β’ Input/Output metadata definition
β’ Data transformation logic
β’ Error handling and validation
β’ Performance optimization
β What specific transformation are you working on?
I can help with syntax, functions, performance optimization, or debugging your DataWeave code.`;
} else if (lowerMessage.includes('error') || lowerMessage.includes('debug')) {
response = `π§ Error Handling Strategy Analysis:
π Error Handling Importance:
Robust error handling is critical for production-ready integrations because:
β’ Reliability: Ensures system stability under failure conditions
β’ Observability: Provides clear error tracking and debugging
β’ User Experience: Graceful degradation and meaningful error messages
β’ Compliance: Audit trails and error logging for regulatory requirements
π§ MuleSoft Error Handling Components:
1. Try-Catch Block:
β’ Catches exceptions within specific scope
β’ Allows custom error processing
β’ Supports multiple catch blocks for different error types
2. Error Handlers:
β’ On-Error-Continue: Logs error and continues processing
β’ On-Error-Propagate: Logs error and stops processing
β’ Global Error Handler: Application-wide error handling
3. Custom Error Handling:
β’ Error response transformation
β’ Retry mechanisms with exponential backoff
β’ Dead letter queues for failed messages
β’ Error notification systems
π‘ Best Practices:
β’ Specific Error Types: Handle different exceptions appropriately
β’ Error Logging: Comprehensive logging with correlation IDs
β’ Error Recovery: Implement retry and fallback mechanisms
β’ Error Monitoring: Set up alerts and dashboards
β What type of error are you encountering?
I can help diagnose the issue and recommend appropriate error handling strategies.`;
} else if (lowerMessage.includes('create') || lowerMessage.includes('new')) {
response = `π§ <strong>Flow Creation Strategy Analysis:</strong><br/><br/>
<strong>π Flow Design Process:</strong><br/>
Creating a new MuleSoft flow requires careful planning and architecture:<br/><br/>
<strong>π§ Step-by-Step Flow Creation:</strong><br/>
<strong>1. Requirements Analysis:</strong><br/>
β’ Identify data sources and targets<br/>
β’ Define input/output formats<br/>
β’ Determine processing requirements<br/>
β’ Plan error handling strategy<br/><br/>
<strong>2. Component Selection:</strong><br/>
β’ <strong>HTTP Listener:</strong> REST/SOAP endpoints<br/>
β’ <strong>Transform Message:</strong> DataWeave transformations<br/>
β’ <strong>Database Connector:</strong> Data persistence<br/>
β’ <strong>Choice Router:</strong> Conditional logic<br/>
β’ <strong>For Each/Batch Job:</strong> Bulk processing<br/><br/>
<strong>3. Connector Integration:</strong><br/>
β’ <strong>Salesforce:</strong> CRM operations and bulk processing<br/>
β’ <strong>SAP:</strong> ERP integration and IDoc processing<br/>
β’ <strong>File/FTP:</strong> File-based integrations<br/>
β’ <strong>Email:</strong> Notification and document delivery<br/><br/>
<strong>4. Error Handling Implementation:</strong><br/>
β’ Try-Catch blocks for specific error handling<br/>
β’ Global error handlers for application-wide errors<br/>
β’ Retry mechanisms for transient failures<br/>
β’ Logging and monitoring setup<br/><br/>
<strong>5. Testing & Optimization:</strong><br/>
β’ Unit testing with mock services<br/>
β’ Performance testing and optimization<br/>
β’ Error scenario testing<br/>
β’ Documentation and deployment preparation<br/><br/>
<strong>β‘ Quick Start Options:</strong><br/>
β’ Type <strong>"new flow"</strong> to create a flow with best practices<br/>
β’ Type <strong>"employee onboarding"</strong> for a complete example<br/>
β’ Ask specific questions about component configuration<br/><br/>
<strong>β What type of integration are you building?</strong><br/>
I can guide you through the complete flow creation process with detailed explanations.`;
} else if (lowerMessage.includes('connector')) {
response = `π§ <strong>MuleSoft Connector Architecture Analysis:</strong><br/><br/>
<strong>π Connector Ecosystem:</strong><br/>
MuleSoft provides a comprehensive set of connectors for enterprise integration:<br/><br/>
<strong>π Available Connectors in Your Flows:</strong><br/>
<strong>1. Database Connector:</strong><br/>
β’ <strong>Operations:</strong> Select, Insert, Update, Delete, Stored Procedures<br/>
β’ <strong>Configuration:</strong> Connection pooling, transaction management<br/>
β’ <strong>Use Cases:</strong> Data persistence, audit logging, configuration storage<br/><br/>
<strong>2. Salesforce Connector:</strong><br/>
β’ <strong>Operations:</strong> Query, Create, Update, Delete, Bulk operations<br/>
β’ <strong>Authentication:</strong> OAuth 2.0, Session-based authentication<br/>
β’ <strong>Use Cases:</strong> CRM integration, lead management, opportunity tracking<br/><br/>
<strong>3. SAP Connector:</strong><br/>
β’ <strong>Operations:</strong> RFC calls, IDoc processing, BAPI operations<br/>
β’ <strong>Configuration:</strong> Connection parameters, authentication<br/>
β’ <strong>Use Cases:</strong> ERP integration, master data synchronization<br/><br/>
<strong>4. File Connector:</strong><br/>
β’ <strong>Operations:</strong> Read, Write, List, Move, Delete<br/>
β’ <strong>Configuration:</strong> File patterns, encoding, streaming<br/>
β’ <strong>Use Cases:</strong> Batch processing, file-based integrations<br/><br/>
<strong>5. FTP Connector:</strong><br/>
β’ <strong>Operations:</strong> Upload, Download, List, Delete<br/>
β’ <strong>Configuration:</strong> FTP/SFTP settings, security protocols<br/>
β’ <strong>Use Cases:</strong> File transfer, legacy system integration<br/><br/>
<strong>6. Email Connector:</strong><br/>
β’ <strong>Operations:</strong> Send, Receive, List, Delete<br/>
β’ <strong>Configuration:</strong> SMTP/IMAP settings, authentication<br/>
β’ <strong>Use Cases:</strong> Notifications, document delivery, alerts<br/><br/>
<strong>βοΈ Configuration Best Practices:</strong><br/>
β’ <strong>Connection Pooling:</strong> Optimize resource usage<br/>
β’ <strong>Security:</strong> Use secure authentication methods<br/>
β’ <strong>Error Handling:</strong> Implement retry and timeout strategies<br/>
β’ <strong>Monitoring:</strong> Set up connection health checks<br/><br/>
<strong>β Which connector are you working with?</strong><br/>
I can provide specific configuration guidance, operation details, and troubleshooting help.`;
} else if (lowerMessage.includes('batch') || lowerMessage.includes('foreach')) {
response = `π§ <strong>Batch Processing Architecture Analysis:</strong><br/><br/>
<strong>π Processing Pattern Analysis:</strong><br/>
Batch processing in MuleSoft is designed for handling large datasets efficiently:<br/><br/>
<strong>π§ Core Components:</strong><br/>
<strong>1. Batch Job Component:</strong><br/>
β’ <strong>Purpose:</strong> Process large datasets in chunks<br/>
β’ <strong>Phases:</strong> Load & Dispatch, Process, On Complete<br/>
β’ <strong>Benefits:</strong> Memory efficiency, fault tolerance, parallel processing<br/>
β’ <strong>Use Cases:</strong> Bulk data migration, large file processing<br/><br/>
<strong>2. For Each Component:</strong><br/>
β’ <strong>Purpose:</strong> Iterate through collections sequentially<br/>
β’ <strong>Configuration:</strong> Collection source, batch size, error handling<br/>
β’ <strong>Benefits:</strong> Simple iteration, individual record processing<br/>
β’ <strong>Use Cases:</strong> API calls per record, data transformation<br/><br/>
<strong>β‘ Performance Considerations:</strong><br/>
<strong>Batch Job Advantages:</strong><br/>
β’ <strong>Memory Management:</strong> Processes data in configurable chunks<br/>
β’ <strong>Parallel Processing:</strong> Multiple threads for faster execution<br/>
β’ <strong>Fault Tolerance:</strong> Failed records don't stop entire batch<br/>
β’ <strong>Progress Tracking:</strong> Built-in monitoring and reporting<br/><br/>
<strong>For Each Advantages:</strong><br/>
β’ <strong>Simplicity:</strong> Easy to understand and implement<br/>
β’ <strong>Sequential Control:</strong> Predictable execution order<br/>
β’ <strong>Error Isolation:</strong> Individual record error handling<br/>
β’ <strong>Resource Control:</strong> Lower memory footprint<br/><br/>
<strong>π― When to Use Each:</strong><br/>
<strong>Use Batch Job for:</strong><br/>
β’ Large datasets (>1000 records)<br/>
β’ Independent record processing<br/>
β’ Performance-critical operations<br/>
β’ Fault tolerance requirements<br/><br/>
<strong>Use For Each for:</strong><br/>
β’ Small to medium datasets<br/>
β’ Sequential processing requirements<br/>
β’ Simple iteration logic<br/>
β’ API rate limiting considerations<br/><br/>
<strong>β What type of bulk operation are you implementing?</strong><br/>
I can help you choose the right approach and optimize the configuration.`;
} else if (lowerMessage.includes('help') || lowerMessage.includes('commands')) {
response = `π§ MuleSoft Integration Assistant - Command Reference:
π Available Commands Analysis:
I provide comprehensive MuleSoft integration support with the following capabilities:
β‘ Flow Control Commands:
β’ run - Execute the current flow with detailed component monitoring
β Provides real-time execution tracking and performance metrics
β’ deploy - Deploy the flow to production with validation checks
β Includes dependency verification and environment configuration
β’ export - Export/save the flow configuration and dependencies
β Generates complete project package for version control
β’ new flow - Create a new flow from scratch with best practices
β Includes error handling, logging, and performance optimization
π Data & Testing Commands:
β’ payload - Show sample payload for testing and validation
β Displays realistic test data for flow development
β’ response - Show response payload samples (success/failure)
β Provides expected API response formats for testing
β’ employee onboarding - Generate the complete Employee Onboarding Flow
β Creates production-ready flow with all components
π§ Technical Support Areas:
β’ Component Design: HTTP Listener, Transform Message, Database Connector
β’ DataWeave: Transformations, functions, performance optimization
β’ Error Handling: Try-Catch, Error Handlers, retry mechanisms
β’ Connectors: Salesforce, SAP, File, FTP, Email configuration
β’ Performance: Batch processing, parallel execution, optimization
β’ Debugging: Logging strategies, error diagnosis, troubleshooting
π‘ Usage Examples:
β’ Type "run" to execute your flow and see detailed component execution
β’ Type "payload" to view the sample employee data for testing
β’ Type "employee onboarding" to generate a complete integration flow
β’ Ask specific questions about DataWeave, connectors, or error handling
β What would you like to work on?
I'm ready to help with flow design, debugging, optimization, or any MuleSoft integration challenge!`;
} else {
response = `π§ MuleSoft Integration Development Assistant:
π My Expertise Analysis:
I'm your comprehensive MuleSoft integration partner, specializing in:
π§ Flow Architecture & Design:
β’ Component Selection: HTTP Listener, Transform Message, Database Connector, Choice Router
β’ Integration Patterns: Request-Reply, Fire-and-Forget, Scatter-Gather, Batch Processing
β’ Error Handling: Try-Catch blocks, Error Handlers, retry mechanisms
β’ Performance Optimization: Parallel processing, connection pooling, caching
π System Connectors:
β’ Enterprise Systems: Salesforce, SAP, Workday, ServiceNow
β’ Data Sources: Database, File, FTP, Email, REST/SOAP APIs
β’ Cloud Platforms: AWS, Azure, Google Cloud integrations
β’ Legacy Systems: Mainframe, AS/400, custom applications
π» Development Support:
β’ DataWeave 2.0: Transformations, functions, data mapping, validation
β’ Debugging: Logging strategies, error diagnosis, performance tuning
β’ Testing: Unit testing, integration testing, mock services
β’ Deployment: Environment management, configuration, monitoring
β‘ Quick Actions Available:
β’ run - Execute current flow with detailed monitoring
β’ deploy - Deploy to production with validation
β’ export - Save flow configuration and dependencies
β’ new flow - Create new integration from scratch
π― Current Flow Components:
Your Employee Onboarding Flow includes: HTTP Listener, Input Validation, Scatter-Gather pattern with Employee Directory/Gmail/Slack/Workday APIs, Response Aggregation, and Database Logging.
β What integration challenge can I help you solve?
I'm ready to assist with flow design, component configuration, error handling, performance optimization, or any MuleSoft development task!`;
}
this.addMessage(response, 'assistant', isFlowResponse);
}
clearChat() {
this.chatMessages.innerHTML = `
<div class="message assistant-message">
<div class="message-avatar">
<i class="fas fa-robot"></i>
</div>
<div class="message-content">
<div class="message-text">
Chat cleared! How can I help you with your MuleSoft integration flows today?
</div>
<div class="message-time">Just now</div>
</div>
</div>
`;
}
startNewChat() {
this.clearChat();
}
scrollToBottom() {
this.chatMessages.scrollTop = this.chatMessages.scrollHeight;
}
}
// MuleSoft Flows functionality
class FlowsManager {
constructor() {
this.createFlowBtn = document.getElementById('createFlow');
this.runFlowBtn = document.getElementById('runFlow');
this.deployFlowBtn = document.getElementById('deployFlow');
this.exportFlowBtn = document.getElementById('exportFlow');
this.flowDiagram = document.getElementById('flowDiagram');
console.log('Button elements found:');
console.log('createFlowBtn:', this.createFlowBtn);
console.log('runFlowBtn:', this.runFlowBtn);
console.log('deployFlowBtn:', this.deployFlowBtn);
console.log('exportFlowBtn:', this.exportFlowBtn);
this.flows = {
'main-flow': {
name: 'Employee Onboarding Flow',
status: 'running',
nodes: [
{ type: 'start', label: 'Flow Start' },
{ type: 'http-listener', label: 'HTTP Listener', details: 'POST /api/onboard' },
{ type: 'validator', label: 'Validate Input', details: 'Check required fields' },
{ type: 'scatter', label: 'Scatter', details: 'Start parallel calls' },
{ type: 'directory-api', label: 'Employee Directory', details: 'Create user account' },
{ type: 'email-api', label: 'Gmail', details: 'Create mailbox' },
{ type: 'slack-api', label: 'Slack', details: 'Invite to workspace' },
{ type: 'workday-api', label: 'Workday', details: 'Create employee record' },
{ type: 'gather', label: 'Gather', details: 'Aggregate responses' },
{ type: 'database-connector', label: 'Onboarding DB', details: 'Log status' },
{ type: 'end', label: 'Flow End' }
]
},
'error-handler': {
name: 'Global Error Handler',
status: 'running',
nodes: [
{ type: 'start', label: 'Flow Start' },
{ type: 'error-handler', label: 'Error Handler', details: 'Global Error Handler' },
{ type: 'logger', label: 'Logger', details: 'Log Error Details' },
{ type: 'set-variable', label: 'Set Variable', details: 'Set Error Context' },
{ type: 'end', label: 'Flow End' }
]
},
'data-transform': {
name: 'DataWeave Transform Flow',
status: 'running',
nodes: [
{ type: 'start', label: 'Flow Start' },
{ type: 'file-connector', label: 'File Connector', details: 'Read CSV File' },
{ type: 'transform-message', label: 'Transform Message', details: 'DataWeave 2.0' },
{ type: 'validator', label: 'Validator', details: 'Schema Validation' },
{ type: 'salesforce-connector', label: 'Salesforce Connector', details: 'Create Records' },
{ type: 'end', label: 'Flow End' }
]
},
'api-gateway': {
name: 'API Gateway Flow',
status: 'running',
nodes: [
{ type: 'start', label: 'Flow Start' },
{ type: 'http-listener', label: 'HTTP Listener', details: 'POST /api/gateway' },
{ type: 'choice-router', label: 'Choice Router', details: 'Route by Content Type' },
{ type: 'logger', label: 'Logger', details: 'Log Request' },
{ type: 'end', label: 'Flow End' }
]
},
'batch-processing': {
name: 'Batch Processing Flow',
status: 'stopped',
nodes: [
{ type: 'start', label: 'Flow Start' },
{ type: 'batch-job', label: 'Batch Job', details: 'Process Large Dataset' },
{ type: 'foreach', label: 'For Each', details: 'Process Each Record' },
{ type: 'transform-message', label: 'Transform Message', details: 'DataWeave 2.0' },
{ type: 'database-connector', label: 'Database Connector', details: 'Bulk Insert' },
{ type: 'end', label: 'Flow End' }
]
},
'sap-integration': {
name: 'SAP Integration Flow',
status: 'running',
nodes: [
{ type: 'start', label: 'Flow Start' },
{ type: 'http-listener', label: 'HTTP Listener', details: 'GET /sap/orders' },
{ type: 'sap-connector', label: 'SAP Connector', details: 'RFC Call' },
{ type: 'transform-message', label: 'Transform Message', details: 'DataWeave 2.0' },
{ type: 'email-connector', label: 'Email Connector', details: 'Send Notification' },
{ type: 'end', label: 'Flow End' }
]
}
};
// Load sample payload and response payloads
this.samplePayload = null;
this.responsePayloads = null;
this.loadSamplePayload();
this.loadResponsePayloads();
// Execution tracking
this.executions = [];
this.executionCounter = 0;
// Component configurations storage
this.componentConfigs = {};
// Configuration choice waiting state
this.isWaitingForConfigChoice = false;
this.pendingConfigComponent = null;
this.initializeEventListeners();
this.initializeTabs();
this.initializeConfigPanel();
this.initializeConfigPanelResize();
this.initializeComponentSeparator();
this.initializeNavigation();
this.initializeConnectorsPage();
this.initializeProjectsPage();
this.showZeroState();
}
async loadSamplePayload() {
try {
const response = await fetch('sample-payload.json');
if (response.ok) {
this.samplePayload = await response.json();
console.log('Sample payload loaded:', this.samplePayload);
} else {
console.log('Sample payload file not found, using default payload');
this.samplePayload = {
"employeeId": "E12345",
"firstName": "Ananya",
"lastName": "Rao",
"email": "ananya.rao@example.com",
"jobTitle": "Product Manager",
"department": "Product",
"location": "Bangalore",
"manager": {
"name": "Sujan Balachandran",
"email": "sujan.balachandran@company.com"
},
"startDate": "2025-10-20",
"systemsToProvision": {
"directoryAccount": true,
"emailAccount": true,
"slackAccount": true,
"vpnAccess": false
},
"hardwareRequest": {
"laptop": "MacBook Pro 14-inch",
"accessories": ["Docking Station", "Noise Cancelling Headset"]
},
"metadata": {
"requestedBy": "HR-System",
"requestTimestamp": "2025-10-16T10:30:00Z"
}
};
}
} catch (error) {
console.error('Error loading sample payload:', error);
// Use default payload if file loading fails
this.samplePayload = {
"employeeId": "E12345",
"firstName": "Ananya",
"lastName": "Rao",
"email": "ananya.rao@example.com",
"jobTitle": "Product Manager",
"department": "Product",
"location": "Bangalore",
"manager": {
"name": "Sujan Balachandran",
"email": "sujan.balachandran@company.com"
},
"startDate": "2025-10-20",
"systemsToProvision": {
"directoryAccount": true,
"emailAccount": true,
"slackAccount": true,
"vpnAccess": false
},
"hardwareRequest": {
"laptop": "MacBook Pro 14-inch",
"accessories": ["Docking Station", "Noise Cancelling Headset"]
},
"metadata": {
"requestedBy": "HR-System",
"requestTimestamp": "2025-10-16T10:30:00Z"
}
};
}
}
async loadResponsePayloads() {
try {
const response = await fetch('response-payloads.json');
if (response.ok) {
this.responsePayloads = await response.json();
console.log('Response payloads loaded:', this.responsePayloads);
} else {
console.log('Response payloads file not found, using default payloads');
this.responsePayloads = {
"success": {
"status": "success",
"employeeId": "E12345",
"message": "Employee provisioned successfully",
"provisionedSystems": {
"directoryAccount": {
"status": "created",
"userId": "okta-98213"
},
"emailAccount": {
"status": "created",
"accountId": "gmail-jane.austin"
},
"slackAccount": {
"status": "invited",
"userId": "U029384"
}
},
"timestamp": "2025-10-16T11:05:00Z"
},
"failure": {
"status": "failed",
"employeeId": "E12345",
"error": {
"message": "Slack provisioning failed",
"details": "Rate limit exceeded for Slack API",
"failedSystem": "Slack"
},
"partialProvision": {
"directoryAccount": "created",
"emailAccount": "created"
},
"timestamp": "2025-10-16T11:06:30Z"
}
};
}
} catch (error) {
console.error('Error loading response payloads:', error);
// Use default payloads if file loading fails
this.responsePayloads = {
"success": {
"status": "success",
"employeeId": "E12345",
"message": "Employee provisioned successfully",
"provisionedSystems": {
"directoryAccount": {
"status": "created",
"userId": "okta-98213"
},
"emailAccount": {
"status": "created",
"accountId": "gmail-jane.austin"
},
"slackAccount": {
"status": "invited",
"userId": "U029384"
}
},
"timestamp": "2025-10-16T11:05:00Z"
},
"failure": {
"status": "failed",
"employeeId": "E12345",
"error": {
"message": "Slack provisioning failed",
"details": "Rate limit exceeded for Slack API",
"failedSystem": "Slack"
},
"partialProvision": {
"directoryAccount": "created",
"emailAccount": "created"
},
"timestamp": "2025-10-16T11:06:30Z"
}
};
}
}
initializeEventListeners() {
// Create new flow (header button)
this.createFlowBtn.addEventListener('click', () => this.createNewFlow());
// Create new flow (canvas button)
const createFlowFromZero = document.getElementById('createFlowFromZero');
if (createFlowFromZero) {
createFlowFromZero.addEventListener('click', () => this.createNewFlow());
}
// Run flow
this.runFlowBtn.addEventListener('click', () => this.runFlow());
// Deploy flow
this.deployFlowBtn.addEventListener('click', () => this.deployFlow());
// Export flow
this.exportFlowBtn.addEventListener('click', () => this.exportFlow());
// Flow node interactions
this.flowDiagram.addEventListener('click', (e) => {
console.log('Flow diagram clicked, target:', e.target);
console.log('Target classList:', e.target.classList);
const node = e.target.closest('.flow-node');
if (node) {
console.log('Flow node clicked');
this.showComponentConfig(node);
}
// Add component button interactions
const addBtn = e.target.closest('.add-component-btn');
console.log('Add button check:', addBtn);
if (addBtn) {
console.log('Add component button clicked');
this.showAddComponentDialog(addBtn);
}
});
}
selectFlow(flowId, skipDesignErrors = false) {
// Render flow diagram
this.renderFlowDiagram(flowId);
// Update flow properties
this.updateFlowProperties(flowId);
// Update design errors for the selected flow (unless skipped for new flows)
if (!skipDesignErrors) {
this.updateDesignErrors();
}
}
showZeroState() {
const zeroState = document.getElementById('zeroState');
const flowNodesElement = document.getElementById('flowNodes');
if (zeroState) {
zeroState.style.display = 'flex';
}
if (flowNodesElement) {
flowNodesElement.style.display = 'none';
}
}
clearDesignErrors() {
const errorsTableBody = document.getElementById('errorsTableBody');
if (errorsTableBody) {
errorsTableBody.innerHTML = '';
}
console.log('Design errors cleared');
}
getCurrentFlowId() {
// For now, return the first flow ID or 'main-flow' if it exists
// This is a simplified implementation - in a real app you'd track the selected flow
if (this.flows['main-flow']) {
return 'main-flow';
}
const flowIds = Object.keys(this.flows);
return flowIds.length > 0 ? flowIds[0] : null;
}
generateFlowFromChat() {
console.log('generateFlowFromChat called');
console.log('flowDiagram element:', this.flowDiagram);
console.log('Available flows:', this.flows);
// Clear any existing design errors before generating new flow
this.clearDesignErrors();
// Step 1: Analysis and reasoning (already done in generateAIResponse)
// Step 2: Flow generation in progress with typewriter effect
this.addAgentMessage(`π§ Flow Generation in Progress:
π Generation Process:
β’ Analyzing flow requirements and architecture
β’ Configuring HTTP Listener for employee data reception
β’ Setting up input validation for data integrity
β’ Implementing Scatter-Gather pattern for parallel processing
β’ Configuring API connectors (Employee Directory, Gmail, Slack, Workday)
β’ Setting up response aggregation and database logging
β‘ Components Being Created:
β’ HTTP Listener β Input Validation β Scatter
β’ Parallel Branches β Employee Directory, Gmail, Slack, Workday APIs
β’ Gather β Database Connector β Flow End
π― Status: Flow will appear on canvas momentarily with all components properly connected and configured.`);
// Step 3: Wait for typewriter effect to complete, then generate flow on canvas
setTimeout(() => {
// Hide zero state
const zeroState = document.querySelector('.zero-state');
if (zeroState) {
zeroState.style.display = 'none';
}
// Generate the employee onboarding flow automatically
this.renderFlowDiagram('main-flow');
this.updateFlowProperties('main-flow');
// Create Employee Onboarding project in navigation
this.createEmployeeOnboardingProject();
// Update design errors to show connection string issues (with small delay to ensure DOM is ready)
setTimeout(() => {
this.updateDesignErrors();
}, 100);
// Step 4: Add completion message after flow is generated
setTimeout(() => {
this.addAgentMessage(`β
Flow Generation Complete:
π Generated Components:
β’ HTTP Listener: Configured to receive employee onboarding requests
β’ Input Validation: Validates required fields (name, email, department)
β’ Scatter-Gather Pattern: Parallel processing for multiple system provisioning
β’ API Connectors: Employee Directory, Gmail, Slack, and Workday integrations
β’ Response Aggregation: Collects and processes all system responses
β’ Database Logging: Persists onboarding status for audit trail
π **Project Created:**
β’ Employee Onboarding project added to navigation
β’ Employee Onboarding flow created under the project