Implementing Syncfusion MAUI Smart DataGrid
A comprehensive skill for implementing and customizing the Syncfusion.NET MAUI Smart DataGrid (SfSmartDataGrid) control. The Smart DataGrid combines traditional tabular data display with AI-powered natural language capabilities, enabling users to perform complex operations like sorting, filtering, grouping, and highlighting using simple text commands. It displays and manipulates data in a tabular format with advanced support for intelligent data operations, AI-assisted features, customizable assistant views, and event-driven architecture.
When to Use This Skill
Use this skill when you need to:
- Add a Smart DataGrid to.NET MAUI applications that requires AI-assisted data operations
- Enable natural language commands for users to sort, filter, group, and highlight data without coding
- Configure Azure OpenAI or other AI providers to power intelligent grid operations
- Customize the AssistView UI with templates and styling for appearance customization
- Implement AI-powered features like intelligent sorting with multi-column support and advanced filtering
- Manage grid operations programmatically using methods like
GetResponseAsync()and events - Style toolbar, buttons, and assistant views to match application design requirements
Component Overview
The SfSmartDataGrid (Syncfusion.NET MAUI Smart DataGrid) is an advanced data grid control that combines traditional grid functionality with AI-powered natural language processing. Users can interact with data using simple text commands instead of manual UI navigation.
Key Capabilities:
- AI-Assisted Operations: Sort, filter, group, and highlight data using natural language prompts
- Multi-Column Operations: Apply complex operations in a single command (e.g., sort by multiple columns)
- Customizable AssistView: Configure suggestions, prompts, and initial commands
- Flexible Styling: Customize toolbar, buttons, and assistant view appearance with templates
- Event-Driven Architecture: Handle requests, opening, and closing events for AI operations
- AI Service Integration: Configure Azure OpenAI, Gemini, DeepSeek, or Groq services
Documentation and Navigation Guide
Getting Started
📄 Read: references/getting-started.md
- Install Syncfusion.Maui.SmartComponents NuGet package
- Register handlers in MauiProgram.cs
- Configure Azure AI service with credentials
- Create basic Smart DataGrid with data binding
- Add OrderInfo data model and repository
- Enable AI-assisted operations
- Running and testing the application
AI-Powered Features
📄 Read: references/ai-powered-features.md
- Natural language sorting (single and multi-column)
- Intelligent grouping with hierarchical support
- Advanced filtering with conditions (AND/OR logic)
- Highlighting rows and cells with custom colors
- Clearing operations (sort, filter, group, highlight)
- Example prompts and practical use cases
Customization and Configuration
📄 Read: references/customization.md
- Set SuggestedPrompts for predefined suggestions
- Configure Prompt for auto-execution on startup
- Enable/disable smart actions with EnableSmartActions
- Show AssistView programmatically with ShowAssistView()
- Apply AI operations dynamically using GetResponseAsync()
- Handle AssistViewRequest events
- Manage AssistViewOpening and AssistViewClosing events
Appearance and Styling
📄 Read: references/appearance-styling.md
- Style toolbar with background, stroke, and thickness
- Create custom toolbar layout with ToolbarTemplate
- Configure AssistButton appearance and icon color
- Define custom AssistButton and icon templates
- Customize AssistView popup, header, and colors
- Create AssistView header, banner, and editor templates
- Styling SmartAssistStyle properties
AI Service Configuration
📄 Read: references/ai-service-configuration.md
- Configure Azure OpenAI service setup
- Register ConfigureSyncfusionAIServices()
- Set API key, endpoint, and deployment name
- AI service requirements and prerequisites
- Supporting alternative AI providers
- Troubleshooting AI service connectivity
Configure Chat Client
📄 Read: references/configure-chat-client.md
- Configure Microsoft.Extensions.AI-compatible chat clients
- Azure OpenAI setup and configuration
- OpenAI API integration with model selection
- Self-hosted Ollama configuration and benefits
- Environment-specific configuration with appsettings.json
- Using environment variables for credentials
- Troubleshooting authentication and connection errors
Custom AI Service Integration
📄 Read: references/custom-ai-service.md
- Implement custom AI services using IChatInferenceService interface
- Create AI service class and inference service wrapper
- Register custom services in MauiProgram.cs
- Complete custom implementation example
- Testing custom integration
- Best practices for error handling and logging
- Troubleshooting response generation and performance
Claude AI Integration
📄 Read: references/claude-service.md
- Create Anthropic Claude account and get API key
- Implement ClaudeAIService and ClaudeInferenceService
- Register Claude service in MauiProgram.cs
- Available Claude models and capabilities
Google Gemini Integration
📄 Read: references/gemini-service.md
- Get Google AI Studio API key for Gemini
- Implement GeminiService and GeminiInferenceService
- Configure Gemini models and generation settings
- Register Gemini service in MauiProgram.cs
Groq AI Integration
📄 Read: references/groq-service.md
- Set up Groq console and API key
- Implement GroqService and GroqInferenceService
- Configure Groq models with OpenAI-compatible endpoint
- Register Groq service in MauiProgram.cs
DeepSeek AI Integration
📄 Read: references/deepseek-service.md
- Set up DeepSeek platform and API key
- Implement DeepSeekAIService and DeepSeekInferenceService
- Configure DeepSeek models and temperature settings
- Register DeepSeek service in MauiProgram.cs