mirror of
https://github.com/kjanat/livegraphs-django.git
synced 2026-01-16 18:32:11 +01:00
Kaj Kowalski
482bea1ba5
- Implemented AJAX-based navigation for links and forms to improve user experience. - Added loading indicators during AJAX requests to enhance feedback. - Refactored data tables and search results to load content dynamically via AJAX. - Created partial templates for data tables and search results to streamline rendering. - Updated pagination links to work with AJAX, maintaining browser history. - Added JavaScript files for handling AJAX navigation and pagination. - Improved session detail view with conditional rendering for action buttons. - Updated Docker Compose file for consistency in version formatting. - Created a TODO list for future enhancements and features.
135 lines
3.9 KiB
Markdown
135 lines
3.9 KiB
Markdown
# Chat Analytics Dashboard: Implementation Summary
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## Core Features Implemented
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1. **Multi-Tenant Architecture**:
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- Companies have isolated data and user access
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- Users belong to specific companies
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- Role-based permissions (admin, company admin, regular user)
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2. **Data Management**:
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- CSV file upload and processing
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- Data source management
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- Chat session records with comprehensive metadata
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3. **Dashboard Visualization**:
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- Interactive charts using Plotly.js
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- Key metrics and KPIs
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- Time-series analysis
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- Geographic distribution
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- Sentiment analysis
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- Category distribution
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4. **Search and Analysis**:
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- Full-text search across chat sessions
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- Filtering by various attributes
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- Detailed view of individual chat sessions
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- Transcript viewing
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5. **User Management**:
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- User registration and authentication
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- Profile management
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- Password change functionality
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- Role assignment
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6. **Admin Interface**:
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- Company management
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- User administration
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- Data source oversight
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- System-wide configuration
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7. **Responsive Design**:
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- Mobile-friendly interface using Bootstrap 5
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- Consistent layout and navigation
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- Accessible UI components
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## Technical Implementation
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### Backend (Django)
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- **Custom User Model**: Extended for company association and roles
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- **Database Models**: Structured for efficient data storage and queries
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- **View Logic**: Separation of concerns with dedicated view functions
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- **Form Handling**: Validated data input and file uploads
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- **Data Processing**: CSV parsing and structured storage
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- **Template Context**: Prepared data for frontend rendering
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- **URL Routing**: Clean URL structure
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- **Access Control**: Permission checks throughout
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### Frontend
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- **Bootstrap 5**: For responsive layout and UI components
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- **Plotly.js**: For interactive charts and visualizations
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- **jQuery**: For AJAX functionality
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- **Font Awesome**: For icons
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- **Custom CSS**: For styling enhancements
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### Data Flow
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1. **Upload Process**:
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- File validation
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- CSV parsing
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- Data normalization
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- Record creation
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- Association with company
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2. **Dashboard Generation**:
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- Data aggregation
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- Statistical calculations
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- Chart data preparation
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- JSON serialization for frontend
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3. **User Authentication**:
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- Login/registration handling
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- Session management
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- Permission checks
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- Access control based on company
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### Deployment Configuration
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- **Docker**: Containerization for consistent deployment
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- **Docker Compose**: Multi-container orchestration
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- **Nginx**: Web server and static file serving
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- **PostgreSQL**: Production-ready database
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- **Gunicorn**: WSGI HTTP server
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## API Structure
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While the current implementation does not have a formal REST API, the foundation is in place for adding one in the future:
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1. **Dashboard API**: Already implemented for chart data (JSON responses)
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2. **Data Source API**: Potential endpoint for uploading data programmatically
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3. **Chat Session API**: Could expose data for external integration
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## Testing and Development
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- **Sample Data Generation**: Management command to create test data
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- **Local Development Setup**: Easy configuration with sqlite
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- **Production Deployment**: Docker-based for scalability
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## Security Considerations
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- **Authentication**: Django's secure authentication system
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- **Data Isolation**: Company-specific queries prevent data leakage
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- **Password Management**: Secure password handling
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- **CSRF Protection**: Django's built-in CSRF protection
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- **Input Validation**: Form validation for all user inputs
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## Future Extensions
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The architecture supports easy extension for:
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1. **API Integration**: Direct connection to chat platforms
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2. **Real-time Updates**: WebSockets for live dashboard updates
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3. **Advanced Analytics**: Machine learning integration
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4. **Customizable Reports**: Report generation and scheduling
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5. **Enhanced Visualization**: More chart types and interactive features
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