Add granular metrics collection for audio processing latency in both input and output paths. This enables better performance monitoring through histograms.
Also update build tags to include ARM platform and rename UI label for clarity.
- Add LatencyHistogramData interface and implement histogram collection in granular metrics
- Create LatencyHistogram component for visualizing latency distribution
- Update audio metrics events to include histogram data
- Add comprehensive tests for histogram functionality
- Improve error handling for OPUS encoder parameter updates
- Optimize validation cache initialization
Split generic frame data validation error into specific cases for empty and oversized frames to provide better error context. The optimized validation maintains performance while improving debuggability.
Consolidate audio frame validation functions into a single optimized implementation and add dynamic OPUS encoder parameter updates based on quality settings. Initialize validation cache at startup for consistent performance.
Add latency profiler for end-to-end audio pipeline monitoring. Update test cases to use unified validation function and initialize cache.
The changes improve performance by reducing function call overhead and enabling runtime optimization of audio encoding parameters based on quality presets.
refactor validation functions to be more comprehensive and add detailed error messages
add new logging standards implementation for audio components
remove deprecated validation_enhanced.go file
add performance-critical tests for validation functions
refactor(audio): restructure metrics and supervisor components into base implementations
feat(audio): add validation for all audio configurations and frames
fix(audio): fix atomic alignment in metrics structures
refactor(audio): consolidate common functionality into base manager and supervisor
feat(audio): add output IPC manager and config validation
Rename audio server/client components to be more specific (AudioOutputServer/Client). Add new validation.go and ipc_common.go files for shared IPC functionality. Improve error handling and cleanup in input/output IPC components.
Disable granular metrics logging to reduce log pollution. Reset metrics on failed start and ensure proper cleanup. Add common IPC message interface and optimized message pool for reuse.
Alex P