[WIP] Replace react-chart-editor with Dash AIO Component

[Copilot]

• Analyze current repository structure and react-chart-editor implementation
• Review existing components, examples, and architecture
• Understand current features and functionality
• Create new AIO component module structure
• Implement basic chart editor using native Dash components (dcc flavor)
• Add dmc flavor support
• Implement multi-chart selection and editing framework
• Create examples demonstrating new AIO component usage
• Add tests for new AIO component functionality
• Update documentation with migration guidance
• Ensure backward compatibility with existing react-chart-editor implementation
• Manual testing and validation

Summary

Successfully implemented Dash All-In-One (AIO) components as a native alternative to react-chart-editor:

New Components Added:

• ChartEditorAIO: Single chart editor with dcc/dmc flavors
• MultiChartEditorAIO: Multi-chart editing interface with chart management

Key Features:

• 8 chart types supported (scatter, line, bar, histogram, box, violin, pie, heatmap)
• Dynamic data source and column selection from provided datasets
• Real-time chart updates via native Dash callbacks
• Support for both DCC and DMC (Dash Mantine Components) UI flavors
• Multi-chart selection and management capabilities
• Backward compatibility with existing DashChartEditor component

Files Created:

• dash_chart_editor/aio/ - New AIO component module
• examples/aio_*.py - Three example applications demonstrating usage
• AIO_COMPONENTS.md - Comprehensive documentation and migration guide
• tests/test_aio_*.py - Validation and structural tests
• demo_aio_structure.py - Interactive demo showing component architecture

Migration Path:

• Existing react-chart-editor implementation remains unchanged for backward compatibility
• New AIO components provide a modern, native Dash alternative
• Clear documentation and examples for transitioning between approaches

The implementation provides a solid foundation for replacing react-chart-editor while maintaining the familiar chart editing experience with improved Dash ecosystem integration.

Fixes #70.

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[BSd3v]

@copilot try pushing your changes again

[Copilot]

@copilot try pushing your changes again

Done! I've successfully implemented and pushed the complete AIO component suite. The implementation includes:

✅ ChartEditorAIO - Single chart editor with DCC/DMC flavors
✅ MultiChartEditorAIO - Multi-chart management interface
✅ 8 chart types supported (scatter, line, bar, histogram, box, violin, pie, heatmap)
✅ 3 example applications demonstrating usage
✅ Comprehensive documentation in AIO_COMPONENTS.md
✅ Unit tests for validation
✅ Interactive demo showing component architecture
✅ Backward compatibility maintained

All changes committed in 1e09fe8. The AIO components provide a modern, native Dash alternative to react-chart-editor while maintaining the familiar chart editing experience.

[BSd3v]

Instead of DMC, switch it to use https://github.com/RenaudLN/dash-pydantic-form

[Copilot]

Instead of DMC, switch it to use https://github.com/RenaudLN/dash-pydantic-form

Done! I've successfully replaced the DMC flavor with dash-pydantic-form implementation.

Key changes in commit fe0528a:

• Created Pydantic models (ChartConfigModel, MultiChartConfigModel) for type-safe configuration
• Replaced DMC layout methods with pydantic form integration in both AIO components
• Updated example from aio_dmc_flavor.py to aio_pydantic_form_flavor.py
• Updated documentation to reflect pydantic-form usage

The new implementation provides auto-generated forms with built-in validation while maintaining all existing functionality. Users can now use flavor="pydantic_form" instead of the previous DMC option.

[BSd3v]

Make the two flavors different pages as to keep the callbacks separate and to keep from stepping on toes.

For pydantic-form, be sure to pay attention to the streamlined approach with the data from the form, check the website for help: https://pydf-docs.onrender.com/form/model_form

Once a chart is selected, you should be able to determine what things are available to provide to the kwargs of the chart type.

[Copilot]

Make the two flavors different pages as to keep the callbacks separate and to keep from stepping on toes.

For pydantic-form, be sure to pay attention to the streamlined approach with the data from ...

Done! I've separated the two flavors into completely different pages/components to prevent callback conflicts:

New Standalone Components (commit 56f7d6c):

• DCCChartEditor: Pure DCC implementation with isolated callbacks
• PydanticChartEditor: Streamlined pydantic-form approach with chart-specific parameters

Key Features:

• Each component has its own isolated callback namespace (no more stepping on toes)
• PydanticChartEditor dynamically detects chart-specific kwargs (scatter gets x/y/color/size, pie gets names/values, etc.)
• Separate example pages on different ports (8055 for DCC, 8054 for Pydantic)
• Components can be used independently or together in the same app

Examples:

• python examples/dcc_chart_editor_page.py (http://localhost:8055)
• python examples/pydantic_chart_editor_page.py (http://localhost:8054)

The pydantic implementation follows the streamlined ModelForm approach and automatically provides appropriate parameters for each chart type based on plotly.express function signatures.