class ChatComponent extends HTMLElement {
constructor() {
super();
this.client = null;
this.messages = [
{
role: "assistant",
content: "Hello! I'm your AI assistant. How can I help you today?"
}
];
}
connectedCallback() {
this.attachShadow({ mode: 'open' });
this.render();
this.initializeOpenAI();
this.setupEventListeners();
}
render() {
this.shadowRoot.innerHTML = `
`;
}
initializeOpenAI() {
// Note: In a real implementation, the API key should be handled securely on the server-side
// This is just for demonstration purposes
try {
// Load Feather icons
const script = document.createElement('script');
script.src = "https://cdn.jsdelivr.net/npm/feather-icons/dist/feather.min.js";
script.onload = () => {
if (this.shadowRoot) {
window.feather.replace();
}
};
this.shadowRoot.appendChild(script);
} catch (error) {
console.error('Error initializing OpenAI:', error);
}
}
setupEventListeners() {
const form = this.shadowRoot.getElementById('chatForm');
const input = this.shadowRoot.getElementById('messageInput');
form.addEventListener('submit', async (e) => {
e.preventDefault();
const message = input.value.trim();
if (message) {
this.sendMessage(message);
input.value = '';
}
});
// Load initial messages
this.loadMessages();
}
loadMessages() {
const container = this.shadowRoot.getElementById('messagesContainer');
container.innerHTML = '';
this.messages.forEach(msg => {
this.displayMessage(msg);
});
container.scrollTop = container.scrollHeight;
}
displayMessage(message) {
const container = this.shadowRoot.getElementById('messagesContainer');
const messageDiv = document.createElement('div');
messageDiv.className = `message message-${message.role}`;
let icon = 'user';
let name = 'You';
if (message.role === 'assistant') {
icon = 'cpu';
name = 'AI Assistant';
}
messageDiv.innerHTML = `
${message.content}
`;
container.appendChild(messageDiv);
window.feather.replace();
container.scrollTop = container.scrollHeight;
}
showTypingIndicator() {
const container = this.shadowRoot.getElementById('messagesContainer');
const typingDiv = document.createElement('div');
typingDiv.className = 'typing-indicator';
typingDiv.id = 'typingIndicator';
typingDiv.innerHTML = `
`;
container.appendChild(typingDiv);
container.scrollTop = container.scrollHeight;
}
hideTypingIndicator() {
const indicator = this.shadowRoot.getElementById('typingIndicator');
if (indicator) {
indicator.remove();
}
}
async sendMessage(content) {
// Add user message to UI
const userMessage = { role: 'user', content };
this.messages.push(userMessage);
this.displayMessage(userMessage);
// Show typing indicator
this.showTypingIndicator();
try {
// In a real implementation, this would call the actual API
// For now, we'll simulate a response
const response = await this.getAIResponse(content);
// Add AI response to UI
const aiMessage = { role: 'assistant', content: response };
this.messages.push(aiMessage);
this.hideTypingIndicator();
this.displayMessage(aiMessage);
} catch (error) {
console.error('Error getting AI response:', error);
this.hideTypingIndicator();
const errorMessage = {
role: 'assistant',
content: 'Sorry, I encountered an error. Please try again.'
};
this.messages.push(errorMessage);
this.displayMessage(errorMessage);
}
}
async getAIResponse(prompt) {
// Simulate API delay
await new Promise(resolve => setTimeout(resolve, 1000 + Math.random() * 2000));
// Simple response logic for demonstration
const responses = [
"I understand your question about \"" + prompt + "\". Based on my analysis, this is an important topic that requires careful consideration.",
"Thanks for asking about \"" + prompt + "\". I've processed your request and here's what I found...",
"Regarding \"" + prompt + "\", I can provide some insights. This is a complex matter with several factors to consider.",
"I've analyzed your query about \"" + prompt + "\". Here's what I recommend based on current best practices.",
"That's an interesting question about \"" + prompt + "\". Let me break this down for you..."
];
return responses[Math.floor(Math.random() * responses.length)] +
" This is a simulated response. In a real implementation, this would connect to the Llama API.";
}
}
customElements.define('chat-component', ChatComponent);