mirror of
https://github.com/thecyberlearn/quantum-ai-v2.git
synced 2026-08-18 21:12:58 +00:00
## Major Features Added: ### 🕒 Session Time Limits (2hr → 30min) - Updated ChatSession model: expires_at, extend_session methods - Changed session creation and extension logic - Updated JavaScript timing calculations - Fixed timing indicator functionality with real-time server data ### 💬 Message Limits (50 → 20) - Added message_limit field to Agent model with migration - Implemented auto-completion when message limit reached - Only count user messages (not agent responses) toward limit - Enhanced error messaging for limit exceeded ### 📥 Chat Download System - Added PDF and TXT export functionality using ReportLab - Download buttons in chat header for active sessions - Comprehensive export with session metadata and formatting - New API endpoints: /agents/api/chat/export/{session_id}/ ### 📋 Previous Sessions Management - Created Previous Sessions widget showing last 5 non-active sessions - Download access for all completed sessions with messages - Session status indicators (✅ Completed, ⏰ Expired, ❌ Abandoned) - Clean sidebar organization with session history ### 🎨 UI/UX Improvements - Moved session info from main chat to sidebar for cleaner interface - Increased chat height: 600px → 800px (mobile: 500px → 650px) - Added Current Session widget with status, ID, and start time - Enhanced sidebar layout with proper component stacking - Responsive design with mobile optimizations ### 🔧 Session Indicators System - Real-time session status API with server-side data - Progress bars for time remaining and message usage - Warning notifications for approaching limits - Automatic updates every 30 seconds ### 💰 Payment Flow Fixes - Fixed charging system to actually deduct wallet balance - Each new session charges 15 AED for 20 messages + 30 minutes - Proper error handling for insufficient balance - Session cleanup on payment failures ## Technical Implementation: **Backend Changes:** - Enhanced ChatSession model with 30-minute duration - Message counting logic (user messages only) - Auto-completion on limit reached - Session status API endpoint - PDF/TXT export with ReportLab **Frontend Changes:** - Comprehensive sidebar widget system - Real-time indicator updates with server sync - Download functionality with loading states - Session history display with status icons - Responsive layout improvements **Database:** - Added message_limit field to Agent model - Updated ChatSession expiration logic - Efficient queries for session history ## User Experience: ✅ Clear session limits (20 messages, 30 minutes) ✅ Automatic session completion with preserved history ✅ Easy download access for all previous sessions ✅ Transparent pricing (15 AED per session) ✅ Clean, organized interface with more chat space ✅ Real-time feedback on session progress 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
69 lines
3.1 KiB
Python
69 lines
3.1 KiB
Python
from django.core.management.base import BaseCommand
|
|
from agents.models import AgentCategory, Agent
|
|
|
|
class Command(BaseCommand):
|
|
help = 'Create the 5 Whys chat-based analysis agent'
|
|
|
|
def handle(self, *args, **options):
|
|
# Create or get the Analysis category
|
|
category, created = AgentCategory.objects.get_or_create(
|
|
slug='analysis',
|
|
defaults={
|
|
'name': 'Analysis & Problem Solving',
|
|
'description': 'Advanced analytical tools for problem-solving and decision making',
|
|
'icon': '🧠',
|
|
'is_active': True
|
|
}
|
|
)
|
|
|
|
if created:
|
|
self.stdout.write(f'✅ Created category: {category.name}')
|
|
else:
|
|
self.stdout.write(f'📂 Using existing category: {category.name}')
|
|
|
|
# Create the 5 Whys agent
|
|
agent, created = Agent.objects.get_or_create(
|
|
slug='five-whys-analysis',
|
|
defaults={
|
|
'name': '5 Whys Analysis',
|
|
'short_description': 'Interactive problem-solving using the proven 5 Whys methodology',
|
|
'description': '''Systematically find root causes through guided 5 Whys methodology. Perfect for troubleshooting operational problems, understanding failures, and identifying systemic issues.''',
|
|
'category': category,
|
|
'price': 15.00,
|
|
'agent_type': 'chat', # This is a chat-based agent
|
|
'message_limit': 20, # Limit messages per session
|
|
'form_schema': None, # Chat agents don't use form schemas
|
|
'webhook_url': 'http://localhost:5678/webhook/5-whys-web', # N8N webhook URL
|
|
'is_active': True
|
|
}
|
|
)
|
|
|
|
if created:
|
|
self.stdout.write(
|
|
self.style.SUCCESS(f'🎉 Successfully created 5 Whys Analysis agent!')
|
|
)
|
|
self.stdout.write(f' 💬 Agent Type: {agent.agent_type}')
|
|
self.stdout.write(f' 💰 Price: {agent.price} AED')
|
|
self.stdout.write(f' 🔗 Webhook: {agent.webhook_url}')
|
|
self.stdout.write(f' 📂 Category: {agent.category.name}')
|
|
else:
|
|
self.stdout.write(
|
|
self.style.WARNING(f'⚠️ 5 Whys Analysis agent already exists')
|
|
)
|
|
|
|
# Update existing agent to ensure it's chat-based
|
|
if agent.agent_type != 'chat':
|
|
agent.agent_type = 'chat'
|
|
agent.form_schema = None
|
|
agent.save()
|
|
self.stdout.write(
|
|
self.style.SUCCESS(f'✅ Updated existing agent to chat-based')
|
|
)
|
|
|
|
self.stdout.write('')
|
|
self.stdout.write('🚀 Next steps:')
|
|
self.stdout.write(' 1. Ensure N8N webhook is running on localhost:5678')
|
|
self.stdout.write(' 2. Visit /agents/five-whys-analysis/ to test the chat interface')
|
|
self.stdout.write(' 3. Start a conversation to test the 5 Whys methodology')
|
|
self.stdout.write('')
|
|
self.stdout.write('💡 The agent is now ready for interactive problem-solving!') |