use crate::types::{AdvancedFeature, LanguageCode, SynthesisConfig};
use crate::{AudioBuffer, VoirsError, VoirsResult};
use async_trait::async_trait;
use futures::Stream;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::pin::Pin;
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct UnifiedStreamingRequest {
pub text: String,
pub language: LanguageCode,
pub synthesis_config: SynthesisConfig,
pub feature_configs: HashMap<AdvancedFeature, FeatureStreamingConfig>,
pub streaming_params: StreamingParameters,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StreamingParameters {
pub chunk_size_ms: u32,
pub overlap_ms: u32,
pub max_latency_ms: u32,
pub quality_preference: f32,
pub predictive_processing: bool,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum FeatureStreamingConfig {
Emotion {
emotion_type: String,
intensity: f32,
enable_transitions: bool,
transition_duration_ms: u32,
},
Cloning {
speaker_id: String,
adaptation_strength: f32,
realtime_adaptation: bool,
},
Conversion {
target_age: Option<u8>,
target_gender: Option<String>,
conversion_strength: f32,
preserve_prosody: bool,
},
Singing {
score: Vec<MusicalNote>,
technique: String,
vibrato_rate: f32,
vibrato_depth: f32,
},
SpatialAudio {
position: [f32; 3],
listener_position: [f32; 3],
room_model: String,
head_tracking: bool,
},
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MusicalNote {
pub pitch: String,
pub duration: f32,
pub start_time: f32,
pub lyrics: String,
}
#[derive(Debug, Clone)]
pub struct UnifiedStreamingResult {
pub audio: AudioBuffer,
pub metadata: StreamingMetadata,
pub feature_results: HashMap<AdvancedFeature, FeatureStreamingResult>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StreamingMetadata {
pub chunk_id: u32,
pub timestamp_ms: u64,
pub latency_ms: u32,
pub quality_metrics: QualityMetrics,
pub performance_metrics: PerformanceMetrics,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityMetrics {
pub snr_db: f32,
pub thd_percent: f32,
pub spectral_centroid: f32,
pub confidence_score: f32,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceMetrics {
pub processing_time_ms: u32,
pub memory_usage_mb: u32,
pub cpu_utilization: f32,
pub gpu_utilization: Option<f32>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum FeatureStreamingResult {
Emotion {
applied_intensity: f32,
transitions: Vec<EmotionTransition>,
},
Cloning {
similarity_score: f32,
adaptation_quality: f32,
},
Conversion {
success_rate: f32,
detected_characteristics: HashMap<String, f32>,
},
Singing {
pitch_accuracy: f32,
rhythm_accuracy: f32,
expression_score: f32,
},
SpatialAudio {
positioning_accuracy: f32,
acoustics_quality: f32,
binaural_quality: f32,
},
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EmotionTransition {
pub start_time_ms: u32,
pub duration_ms: u32,
pub from_emotion: String,
pub to_emotion: String,
pub curve_type: String,
}
#[async_trait]
pub trait UnifiedStreamingSynthesis: Send + Sync {
async fn start_unified_streaming(
&self,
request: UnifiedStreamingRequest,
) -> VoirsResult<Pin<Box<dyn Stream<Item = VoirsResult<UnifiedStreamingResult>> + Send>>>;
async fn update_streaming_parameters(&self, params: StreamingParameters) -> VoirsResult<()>;
async fn update_feature_config(
&self,
feature: AdvancedFeature,
config: FeatureStreamingConfig,
) -> VoirsResult<()>;
async fn stop_streaming(&self) -> VoirsResult<()>;
async fn get_streaming_status(&self) -> VoirsResult<StreamingStatus>;
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StreamingStatus {
pub is_active: bool,
pub current_chunk: u32,
pub total_chunks_processed: u32,
pub avg_latency_ms: f32,
pub active_features: Vec<AdvancedFeature>,
pub resource_utilization: ResourceUtilization,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceUtilization {
pub cpu_percent: f32,
pub memory_mb: u32,
pub gpu_percent: Option<f32>,
pub network_mbps: f32,
}
pub struct UnifiedStreamingPipeline {
feature_processors: HashMap<AdvancedFeature, Box<dyn FeatureStreamingProcessor>>,
streaming_state: Option<StreamingState>,
performance_monitor: Box<dyn StreamingPerformanceMonitor>,
}
#[derive(Debug)]
struct StreamingState {
request: UnifiedStreamingRequest,
chunk_counter: u32,
start_time: std::time::Instant,
metrics_history: Vec<PerformanceMetrics>,
}
#[async_trait]
pub trait FeatureStreamingProcessor: Send + Sync {
async fn process_chunk(
&self,
audio: &AudioBuffer,
config: &FeatureStreamingConfig,
metadata: &StreamingMetadata,
) -> VoirsResult<(AudioBuffer, FeatureStreamingResult)>;
async fn update_config(&self, config: &FeatureStreamingConfig) -> VoirsResult<()>;
fn get_capabilities(&self) -> FeatureCapabilities;
}
#[derive(Debug, Clone)]
pub struct FeatureCapabilities {
pub realtime_capable: bool,
pub min_chunk_size_ms: u32,
pub max_chunk_size_ms: u32,
pub required_overlap_ms: u32,
pub latency_contribution_ms: u32,
}
#[async_trait]
pub trait StreamingPerformanceMonitor: Send + Sync {
async fn record_chunk_metrics(&self, metrics: &PerformanceMetrics);
async fn get_average_performance(&self, window_seconds: u32)
-> VoirsResult<PerformanceMetrics>;
async fn check_performance_limits(&self, limits: &PerformanceLimits) -> VoirsResult<bool>;
async fn get_performance_recommendations(&self) -> Vec<PerformanceRecommendation>;
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceLimits {
pub max_latency_ms: u32,
pub max_cpu_utilization: f32,
pub max_memory_mb: u32,
pub min_quality_threshold: f32,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceRecommendation {
pub recommendation_type: RecommendationType,
pub description: String,
pub expected_impact: String,
pub priority: RecommendationPriority,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum RecommendationType {
ReduceChunkSize,
DisableFeatures,
UseGpuAcceleration,
ReduceQuality,
IncreaseBufferSize,
OptimizeThreads,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Serialize, Deserialize)]
pub enum RecommendationPriority {
Low,
Medium,
High,
Critical,
}
impl Default for StreamingParameters {
fn default() -> Self {
Self {
chunk_size_ms: 100,
overlap_ms: 10,
max_latency_ms: 500,
quality_preference: 0.7,
predictive_processing: true,
}
}
}
impl Default for QualityMetrics {
fn default() -> Self {
Self {
snr_db: 0.0,
thd_percent: 0.0,
spectral_centroid: 0.0,
confidence_score: 1.0,
}
}
}
impl Default for PerformanceMetrics {
fn default() -> Self {
Self {
processing_time_ms: 0,
memory_usage_mb: 0,
cpu_utilization: 0.0,
gpu_utilization: None,
}
}
}
impl Default for UnifiedStreamingPipeline {
fn default() -> Self {
Self::new()
}
}
impl UnifiedStreamingPipeline {
pub fn new() -> Self {
Self {
feature_processors: HashMap::new(),
streaming_state: None,
performance_monitor: Box::new(DefaultStreamingPerformanceMonitor::new()),
}
}
pub fn add_feature_processor(
&mut self,
feature: AdvancedFeature,
processor: Box<dyn FeatureStreamingProcessor>,
) {
self.feature_processors.insert(feature, processor);
}
pub fn remove_feature_processor(&mut self, feature: &AdvancedFeature) {
self.feature_processors.remove(feature);
}
pub fn supported_features(&self) -> Vec<AdvancedFeature> {
self.feature_processors.keys().cloned().collect()
}
}
#[async_trait]
impl UnifiedStreamingSynthesis for UnifiedStreamingPipeline {
async fn start_unified_streaming(
&self,
request: UnifiedStreamingRequest,
) -> VoirsResult<Pin<Box<dyn Stream<Item = VoirsResult<UnifiedStreamingResult>> + Send>>> {
self.validate_request(&request)?;
let streaming_state = StreamingState {
request: request.clone(),
chunk_counter: 0,
start_time: std::time::Instant::now(),
metrics_history: Vec::new(),
};
let stream = UnifiedStreamingImpl::new(request).await?;
Ok(Box::pin(stream))
}
async fn update_streaming_parameters(&self, _params: StreamingParameters) -> VoirsResult<()> {
Ok(())
}
async fn update_feature_config(
&self,
feature: AdvancedFeature,
config: FeatureStreamingConfig,
) -> VoirsResult<()> {
if let Some(processor) = self.feature_processors.get(&feature) {
processor.update_config(&config).await?;
}
Ok(())
}
async fn stop_streaming(&self) -> VoirsResult<()> {
Ok(())
}
async fn get_streaming_status(&self) -> VoirsResult<StreamingStatus> {
Ok(StreamingStatus {
is_active: self.streaming_state.is_some(),
current_chunk: 0,
total_chunks_processed: 0,
avg_latency_ms: 0.0,
active_features: self.supported_features(),
resource_utilization: ResourceUtilization {
cpu_percent: 0.0,
memory_mb: 0,
gpu_percent: None,
network_mbps: 0.0,
},
})
}
}
impl UnifiedStreamingPipeline {
fn validate_request(&self, request: &UnifiedStreamingRequest) -> VoirsResult<()> {
for feature in request.feature_configs.keys() {
if !self.feature_processors.contains_key(feature) {
return Err(VoirsError::FeatureUnavailable {
feature: format!("{:?}", feature),
reason: "Feature processor not available".to_string(),
});
}
}
if request.streaming_params.chunk_size_ms == 0 {
return Err(VoirsError::InvalidConfiguration {
field: "chunk_size_ms".to_string(),
value: "0".to_string(),
reason: "Chunk size must be greater than zero".to_string(),
valid_values: Some(vec!["1".to_string(), "100".to_string(), "1000".to_string()]),
});
}
Ok(())
}
}
struct UnifiedStreamingImpl {
}
impl UnifiedStreamingImpl {
async fn new(_request: UnifiedStreamingRequest) -> VoirsResult<Self> {
Ok(Self {})
}
}
impl Stream for UnifiedStreamingImpl {
type Item = VoirsResult<UnifiedStreamingResult>;
fn poll_next(
self: Pin<&mut Self>,
_cx: &mut std::task::Context<'_>,
) -> std::task::Poll<Option<Self::Item>> {
std::task::Poll::Ready(None)
}
}
struct DefaultStreamingPerformanceMonitor {
metrics_history: std::sync::Arc<std::sync::Mutex<Vec<PerformanceMetrics>>>,
}
impl DefaultStreamingPerformanceMonitor {
fn new() -> Self {
Self {
metrics_history: std::sync::Arc::new(std::sync::Mutex::new(Vec::new())),
}
}
}
#[async_trait]
impl StreamingPerformanceMonitor for DefaultStreamingPerformanceMonitor {
async fn record_chunk_metrics(&self, metrics: &PerformanceMetrics) {
if let Ok(mut history) = self.metrics_history.lock() {
history.push(metrics.clone());
if history.len() > 1000 {
history.remove(0);
}
}
}
async fn get_average_performance(
&self,
_window_seconds: u32,
) -> VoirsResult<PerformanceMetrics> {
Ok(PerformanceMetrics::default())
}
async fn check_performance_limits(&self, _limits: &PerformanceLimits) -> VoirsResult<bool> {
Ok(true)
}
async fn get_performance_recommendations(&self) -> Vec<PerformanceRecommendation> {
vec![]
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_unified_streaming_request_creation() {
let request = UnifiedStreamingRequest {
text: "Hello, world!".to_string(),
language: LanguageCode::EnUs,
synthesis_config: SynthesisConfig::default(),
feature_configs: HashMap::new(),
streaming_params: StreamingParameters::default(),
};
assert_eq!(request.text, "Hello, world!");
assert_eq!(request.language, LanguageCode::EnUs);
}
#[test]
fn test_streaming_parameters_default() {
let params = StreamingParameters::default();
assert_eq!(params.chunk_size_ms, 100);
assert_eq!(params.overlap_ms, 10);
assert_eq!(params.max_latency_ms, 500);
assert_eq!(params.quality_preference, 0.7);
assert!(params.predictive_processing);
}
#[test]
fn test_feature_streaming_config_emotion() {
let config = FeatureStreamingConfig::Emotion {
emotion_type: "happy".to_string(),
intensity: 0.8,
enable_transitions: true,
transition_duration_ms: 200,
};
match config {
FeatureStreamingConfig::Emotion {
emotion_type,
intensity,
..
} => {
assert_eq!(emotion_type, "happy");
assert_eq!(intensity, 0.8);
}
_ => panic!("Expected emotion config"),
}
}
#[test]
fn test_unified_streaming_pipeline_creation() {
let pipeline = UnifiedStreamingPipeline::new();
assert!(pipeline.supported_features().is_empty());
}
}