Feature/UI Restructure autogeneration scripts: Move to src_py/autogen directory#423
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Feature/UI Restructure autogeneration scripts: Move to src_py/autogen directory#423
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- Moved autogeneration scripts from src_py/nerlPlanner/ to src_py/autogen/ - Updated NerlnetBuild.sh to use new autogen directory paths - Changed generated comments from 'Generated by Nerlplanner' to 'Generated by autogen' - Organized all auto-generation functionality in dedicated autogen library - Added README.md documentation for the autogen module Files moved to src_py/autogen/: - CppHeadersExporter.py and ErlHeadersExporter.py (main exporters) - All dependencies: CppHeadersExporterDefs.py, ErlHeadersExporterDefs.py, JsonDistributedConfigDefs.py, JsonElementWorkerDefinitions.py, JsonElementsDefinitions.py, Definitions.py, logger.py
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Files moved to src_py/autogen/:
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leondavi
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- Fixed layer type dropdown to show 'ID - Name' format instead of just numbers - Changed get_layer_type_options_for_display() from dict to list for NiceGUI compatibility - Updated layer type name from 'CNN/Conv' to 'Conv' for consistency - Added missing update_layer_sizes_count() method to fix layer addition errors - Added debugging to render_network_diagram() for troubleshooting - Fixed layer type extraction logic in add_visual_layer() method - Updated all layer type comparisons to use correct display names
…rkX + Plotly) - Added networkx, plotly, and kaleido dependencies to requirements - Implemented interactive graph visualization with pan/zoom/hover - Color-coded layers by type (Perceptron: green, Conv: purple, Pooling: orange, etc.) - Graph displays layer connections, sizes, and activation functions - Increased graph size to 600px for better visibility - Simplified canvas structure by removing scroll area conflicts - Added proper empty state when no layers exist - Clean, professional visualization with proper margins and styling
…function selectors - Implement NetworkX + Plotly interactive network visualization in Worker Designer - Add layer-specific activation/method selectors for all layer types: * Perceptron: 11 activation function options * Pooling: 3 pooling method options * Probabilistic: 4 method options * Scaling: 5 scaler method options - Increase network diagram size to 600px for better visibility - Fix file upload error when handling callable content attributes - Add nerlPlanner PySide6 migration files for Qt6 upgrade
- Expanded neural network visualization width for better page fitting - Replaced logo with NerlnetLogo.png and updated header styling (white background, dark red title) - Implemented comprehensive button color scheme change from various colors to black - Added complete Jupyter Lab integration with launch/stop functionality - Created URL dialog system with loading screen, real URL detection, and clickable links - Enhanced dialog with copy functionality and proper error handling - Improved Jupyter Lab startup monitoring with 15-second loading time - Fixed all UI component styling for consistent black button theme across all designers
- Enhanced JSON file detection for different formats (connectionsMap, experiments, distributed configs) - Added comprehensive error handling and debugging output for JSON import process - Fixed connection model to handle legacy connectionsMap format from JSON files - Improved experiment designer with robust data validation and type checking - Added detailed stack traces and type information for debugging JSON loading issues - Enhanced source pieces rendering with better error handling for malformed data - Added data sanitization to prevent 'method' objects causing len() errors - Improved fallback detection for auto-importing different JSON file types
- Enhanced existing server detection with URL verification - Added proper HTTP request validation for Jupyter URLs - Implemented dialog state management to prevent multiple dialogs - Added comprehensive debugging for Jupyter server connectivity - Fixed stale process detection that caused accessibility issues - Added initial status checking on application startup - Improved error handling and user feedback for Jupyter operations
- Increased height of saved architectures list box from max-h-48 to max-h-80 for better visibility - Added ClientDefinition model to DistributedConfigModel with proper Pydantic fields - Fixed 'Add Client' button functionality by implementing proper model methods - Added comprehensive worker conflict validation to prevent workers from being assigned to multiple clients - Implemented real-time validation feedback in client add/edit dialogs - Enhanced client edit functionality with proper conflict checking - Added informational guidance for users about worker assignment rules - Removed duplicate methods in worker_designer.py for cleaner codebase - Updated JSON serialization methods to handle both object and dictionary formats
- Replace all hardcoded mappings in worker_designer.py with official autogen imports - Import LayerTypeMap, ActivationFunctionsMap, ModelTypeMapping, OptimizerTypeMapping, LossMethodMapping, DistributedSystemTypeMapping, InfraTypeMapping, PoolingMethodMap, ProbabilisticActivationFunctionMap, ScalingMethodMap from src_py.autogen.JsonElementWorkerDefinitions - Update all get_*_options() methods to use autogen definitions instead of hardcoded dictionaries - Maintain consistent display formatting while using official codes and IDs - Ensure backward compatibility with existing UI components and JSON processing - Fix import path and distributed system type mapping for proper application startup - All definitions now come from single source of truth, preventing inconsistencies and code drift - Preserve documentation strings and method signatures for API compatibility
…ection system - Transform Graph Visualizer into comprehensive interactive network designer - Add component palette with 6 component types (Device, Router, Client, Worker, Source, Server) - Implement Connection Mode for interactive linking between components - Add component property management with type-specific configuration dialogs - Integrate bidirectional sync with Distributed Config model - Enhanced visual representation with color-coded components and selection indicators - Add context menus for component operations (edit, delete, mark as source/target) - Implement connection management with visual connection lines and deletion controls - Add comprehensive graph information panel with real-time statistics - Support for loading from DC config and syncing changes back - Include sample network loading for demonstration - Enhanced error handling and user feedback throughout - Maintain backward compatibility with existing export/reset functionality Key Features: ✨ Interactive component addition through intuitive dialog system 🔗 Visual connection creation between components in Connection Mode ⚙️ Property editing for all component types with validation 🔄 Seamless integration with Distributed Configuration designer 📊 Real-time graph statistics and component tracking 🎨 Enhanced visual styling with component type differentiation 🛡️ Comprehensive error handling and user guidance This transforms the Graph View from a static visualization into a fully interactive network topology designer, enabling users to visually construct and manage their distributed system architectures.
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