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MayaFlux::Kakshya::DataProcessor Class Referenceabstract
Interface for processing data within SignalSourceContainer objects. More...
#include <DataProcessor.hpp>
Inheritance diagram for MayaFlux::Kakshya::DataProcessor:
Collaboration diagram for MayaFlux::Kakshya::DataProcessor:
Public Member Functions | |
| virtual | ~DataProcessor ()=default |
| Virtual destructor for proper cleanup. | |
| virtual void | on_attach (std::shared_ptr< SignalSourceContainer > container)=0 |
| Called when this processor is attached to a container. | |
| virtual void | on_detach (std::shared_ptr< SignalSourceContainer > container)=0 |
| Called when this processor is detached from a container. | |
| virtual void | process (std::shared_ptr< SignalSourceContainer > container)=0 |
| Processes the data in the container. | |
| virtual bool | is_processing () const =0 |
| Checks if the processor is currently performing processing. | |
Detailed Description
Interface for processing data within SignalSourceContainer objects.
DataProcessor defines the interface for components that transform data stored in SignalSourceContainer objects. While conceptually similar to BufferProcessor in the audio buffer domain, DataProcessor operates with greater independence and flexibility, designed specifically for on-demand processing of arbitrary data sources.
Key differences from BufferProcessor:
- Independence from engine cycle: DataProcessors can be invoked on demand rather than being tied to the audio engine's processing cycle
- Broader data scope: Operates on arbitrary data sources beyond audio buffers
- Lifecycle management: Includes explicit attach/detach methods for resource management
- State tracking: Maintains processing state for asynchronous operations
- Self-contained: Can operate without dependency on BufferManager or other engine components
DataProcessors enable flexible data transformation workflows that can operate independently of the real-time audio processing path, making them ideal for tasks like:
- File loading and format conversion
- Offline processing of large datasets
- Background analysis and feature extraction
- Scheduled or event-driven processing
- Integration with external data sources and sinks
Definition at line 32 of file DataProcessor.hpp.
The documentation for this class was generated from the following file:
