# Architecture Overview Flow Master is built on a modular, cross-platform architecture designed for reliability, performance, and maintainability. This document provides a comprehensive overview of the system architecture. ## Table of Contents - [System Architecture](#system-architecture) - [Core Modules](#core-modules) - [Technology Stack](#technology-stack) - [Data Flow](#data-flow) - [Platform Abstraction](#platform-abstraction) - [Performance Considerations](#performance-considerations) ## System Architecture ### High-Level Architecture ``` ┌─────────────────────────────────────────────┐ │ User Interface │ │ (Flutter Framework) │ └─────────────┬───────────────────────────────┘ │ ┌─────────────▼───────────────────────────────┐ │ Application Layer │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────┐│ │ │ Flows │ │ Components │ │Settings ││ │ │ Management │ │ Management │ │Manager ││ │ └─────────────┘ └─────────────┘ └─────────┘│ └─────────────┬───────────────────────────────┘ │ ┌─────────────▼───────────────────────────────┐ │ Service Layer │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────┐│ │ │ Automation │ │ Image │ │Database ││ │ │ Engine │ │ Processing │ │Service ││ │ └─────────────┘ └─────────────┘ └─────────┘│ └─────────────┬───────────────────────────────┘ │ ┌─────────────▼───────────────────────────────┐ │ Platform Layer │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────┐│ │ │ Windows │ │ macOS │ │ Linux ││ │ │ Automation │ │ Automation │ │Automation││ │ └─────────────┘ └─────────────┘ └─────────┘│ └─────────────────────────────────────────────┘ ``` ### Architectural Principles #### Separation of Concerns - **UI Layer**: Pure presentation logic, no business rules - **Application Layer**: Business logic and workflow coordination - **Service Layer**: Core functionality and data processing - **Platform Layer**: OS-specific implementations #### Cross-Platform Design - **Platform Abstraction**: Common interfaces for platform-specific code - **Shared Business Logic**: Maximum code reuse across platforms - **Native Integration**: Platform-specific optimizations where needed - **Consistent API**: Uniform interface regardless of underlying platform ## Core Modules ### Automation Engine ``` Automation Engine Architecture: ├── Flow Executor │ ├── Flow Parser: Interprets flow definitions │ ├── Action Dispatcher: Routes actions to appropriate handlers │ ├── State Manager: Tracks execution state │ └── Error Handler: Manages exceptions and recovery ├── Component Recognition │ ├── Image Matcher: Template matching algorithms │ ├── Feature Detector: Advanced image analysis │ ├── Cache Manager: Performance optimization │ └── Calibration System: Accuracy tuning ├── Platform Automation │ ├── Mouse Controller: Cursor movement and clicking │ ├── Keyboard Controller: Text input and key combinations │ ├── Screen Capture: Screenshot and monitoring │ └── Window Manager: Application focus and positioning └── Scheduling System ├── Task Scheduler: Time-based execution ├── Event Monitor: Trigger detection ├── Resource Manager: System resource coordination └── Execution Queue: Task prioritization and management ``` ### Data Management ``` Data Architecture: ├── Database Layer │ ├── SQLite Database: Primary data storage │ ├── Hive Storage: Fast key-value storage │ ├── File System: Large file management │ └── Cache Layer: Performance optimization ├── Data Models │ ├── Flow Definition: Automation workflow structure │ ├── Component Library: UI element repository │ ├── Execution History: Runtime tracking │ └── User Settings: Configuration management ├── Data Access Layer │ ├── Repository Pattern: Data access abstraction │ ├── Query Optimization: Performance tuning │ ├── Transaction Management: Data consistency │ └── Migration System: Schema evolution └── Synchronization ├── Conflict Resolution: Handle data conflicts ├── Incremental Sync: Efficient data transfer ├── Offline Support: Work without connectivity └── Backup System: Data protection ``` ### User Interface Architecture ``` UI Architecture (Flutter): ├── Presentation Layer │ ├── Screens: Main application views │ ├── Widgets: Reusable UI components │ ├── Themes: Visual styling system │ └── Responsive Design: Multi-device support ├── State Management (Riverpod) │ ├── Providers: Data and state management │ ├── Notifiers: State change notifications │ ├── Consumers: UI state binding │ └── Caching: Performance optimization ├── Navigation │ ├── Route Management: Screen transitions │ ├── Deep Linking: Direct navigation │ ├── State Preservation: Maintain user context │ └── History Management: Back/forward navigation └── Platform Integration ├── Native Channels: Platform-specific features ├── File System Access: Document management ├── System Notifications: User alerts └── Hardware Integration: Device capabilities ``` ## Technology Stack ### Core Technologies ``` Primary Stack: ├── Framework: Flutter 3.29.3 │ ├── Dart Language: Modern, efficient development │ ├── Cross-Platform: Single codebase for all platforms │ ├── Performance: Compiled to native code │ └── Ecosystem: Rich package ecosystem ├── State Management: Riverpod 2.6.1 │ ├── Reactive Programming: Efficient state updates │ ├── Dependency Injection: Clean architecture │ ├── Testing Support: Comprehensive test utilities │ └── DevTools Integration: Debug and monitoring ├── Database: SQLite + Hive │ ├── SQLite: Relational data with complex queries │ ├── Hive: Fast NoSQL storage for simple data │ ├── Local Storage: No network dependency │ └── Migration Support: Schema evolution └── Image Processing: Custom + OpenCV ├── Template Matching: Core recognition algorithm ├── Feature Detection: Advanced image analysis ├── Performance Optimization: GPU acceleration └── Cross-Platform: Consistent behavior ``` ### Platform-Specific Technologies ``` Platform Integration: ├── Windows │ ├── Win32 API: Native Windows automation │ ├── PowerShell: Scripting and system integration │ ├── COM Objects: Application automation │ └── Windows Runtime: Modern API access ├── macOS │ ├── Accessibility API: Native automation framework │ ├── AppleScript: Application scripting │ ├── Core Graphics: Screen capture and drawing │ └── Foundation: System service integration ├── Linux │ ├── X11/Wayland: Display server integration │ ├── xdotool: Command-line automation │ ├── GTK/Qt: Desktop environment integration │ └── D-Bus: Inter-process communication └── Mobile (Future) ├── Android: Accessibility services ├── iOS: UI testing framework ├── React Native: Hybrid development └── Native Modules: Platform-specific features ``` ### Supporting Libraries ``` Key Dependencies: ├── Networking: HTTP client for API communication ├── Serialization: JSON/XML data handling ├── Encryption: Secure data storage ├── Logging: Comprehensive logging system ├── Testing: Unit and integration test framework ├── Analytics: Usage monitoring and optimization ├── Crash Reporting: Error tracking and resolution └── Localization: Multi-language support ``` ## Data Flow ### Automation Execution Flow ``` Execution Pipeline: 1. User Trigger → Manual run, schedule, or hotkey 2. Flow Loading → Retrieve flow definition from database 3. Validation → Check flow integrity and dependencies 4. Preparation → Initialize execution context 5. Step Execution → Process each flow step sequentially ├── Component Search → Find UI elements on screen ├── Action Execution → Perform clicks, typing, etc. ├── Validation → Verify expected results └── State Update → Track progress and variables 6. Completion → Cleanup and result reporting 7. Logging → Record execution details and metrics ``` ### Component Recognition Flow ``` Recognition Pipeline: 1. Screen Capture → Take current screen screenshot 2. Preprocessing → Enhance image quality 3. Template Loading → Retrieve component templates 4. Matching → Execute recognition algorithms 5. Post-processing → Filter and validate results 6. Caching → Store results for performance 7. Result Return → Provide component locations ``` ### Data Persistence Flow ``` Data Management: 1. User Action → Create, modify, or delete data 2. Validation → Ensure data integrity 3. Transaction → Begin database transaction 4. Processing → Apply changes to data store 5. Indexing → Update search indexes 6. Caching → Update in-memory cache 7. Commit → Finalize transaction 8. Notification → Inform UI of changes ``` ## Platform Abstraction ### Automation Abstraction ``` Platform Interface: interface PlatformAutomation { // Mouse and Keyboard Control click(x: double, y: double): Future doubleClick(x: double, y: double): Future rightClick(x: double, y: double): Future type(text: String): Future pressKey(key: String): Future hotkey(keys: List): Future // Screen and Window Management takeScreenshot(): Future getWindows(): Future> getActiveWindow(): Future focusWindow(title: String): Future // Mouse Management getMousePosition(): Future moveMouse(x: double, y: double): Future // Advanced Operations drag(fromX, fromY, toX, toY: double): Future scroll(clicks: int, x: double, y: double): Future } ``` ### Implementation Strategy ``` Platform Implementation: ├── Common Interface: Shared automation contract ├── Platform Factories: Create platform-specific instances ├── Feature Detection: Check available capabilities ├── Graceful Degradation: Handle missing features └── Performance Optimization: Platform-specific optimizations ``` ## Performance Considerations ### Optimization Strategies ``` Performance Architecture: ├── Lazy Loading: Load resources on demand ├── Connection Pooling: Reuse expensive resources ├── Caching Layers: Multiple levels of caching ├── Async Processing: Non-blocking operations ├── Resource Management: Efficient memory usage ├── Batch Operations: Group similar operations ├── Hardware Acceleration: GPU utilization └── Profile-Guided Optimization: Data-driven tuning ``` ### Scalability Design ``` Scalability Features: ├── Modular Architecture: Independent component scaling ├── Plugin System: Extensible functionality ├── Configuration Management: Runtime optimization ├── Resource Monitoring: Automatic performance tuning ├── Graceful Degradation: Handle resource constraints ├── Load Balancing: Distribute processing load ├── Memory Management: Efficient resource utilization └── Background Processing: Offload intensive tasks ``` ### Monitoring and Diagnostics ``` Observability System: ├── Performance Metrics: Real-time monitoring ├── Error Tracking: Comprehensive error logging ├── Usage Analytics: User behavior insights ├── Resource Monitoring: System resource tracking ├── Health Checks: Automated system validation ├── Alerting System: Proactive issue notification ├── Debug Tools: Development and troubleshooting └── Reporting Dashboard: Visual system overview ``` This architecture provides a solid foundation for Flow Master's cross-platform automation capabilities while maintaining performance, reliability, and maintainability across different operating systems and use cases.