Module services 

External services integration for SubX.

This module provides comprehensive integration with external services that power SubX’s intelligent subtitle processing capabilities. It serves as the abstraction layer between SubX’s core processing engines and external AI providers, audio analysis libraries, and other third-party services.

Architecture Overview

The services layer follows a provider pattern with standardized interfaces:

• Service Abstraction: Common traits for different service types
• Multiple Providers: Support for different AI and audio processing backends
• Async Integration: Non-blocking service calls with proper error handling
• Resource Management: Connection pooling, rate limiting, and caching
• Failover Support: Automatic fallback between different service providers

Service Categories

AI Services (ai module)

Intelligent content analysis and matching services:

• Content Analysis: Video and subtitle content understanding
• Semantic Matching: AI-powered file pairing with confidence scoring
• Language Detection: Automatic language identification and verification
• Quality Assessment: Content quality evaluation and recommendations
• Multi-Provider Support: OpenAI, Anthropic, and other AI service backends

Audio Processing (audio module)

Advanced audio analysis and synchronization services:

• Dialogue Detection: Speech segment identification and timing
• Audio Feature Extraction: Waveform analysis and acoustic features
• Synchronization Analysis: Audio-subtitle timing correlation
• Voice Activity Detection: Speech vs. silence classification
• Multi-Language Support: Language-specific audio processing models

Usage Patterns

AI-Powered Matching

use subx_cli::core::ComponentFactory;
use subx_cli::config::ProductionConfigService;
use std::sync::Arc;

async fn intelligent_matching() -> subx_cli::Result<()> {
    let config_service = Arc::new(ProductionConfigService::new()?);
    let factory = ComponentFactory::new(config_service.as_ref())?;
    let ai_client = factory.create_ai_provider()?;
     
    // AI client is ready to use for analysis
    println!("AI client created successfully");
    Ok(())
}

Audio Synchronization

use subx_cli::services::vad::LocalVadDetector;
use subx_cli::config::VadConfig;

async fn synchronize_audio() -> subx_cli::Result<()> {
    let vad_config = VadConfig::default();
    let detector = LocalVadDetector::new(vad_config)?;

    // Directly process various audio formats without transcoding
    let result = detector.detect_speech("video.mp4").await?;

    println!("Detected {} speech segments", result.speech_segments.len());
    Ok(())
}

Performance Considerations

• Caching Strategy: Aggressive caching of AI analysis results and audio features
• Async Processing: Non-blocking service calls with concurrent processing
• Resource Pooling: Connection and compute resource management
• Rate Limiting: Built-in rate limiting for external API compliance
• Memory Efficiency: Streaming processing for large audio files

Error Handling

All services use standardized error handling with automatic retry logic:

• Network Failures: Automatic retry with exponential backoff
• Service Unavailability: Graceful fallback to alternative providers
• Rate Limiting: Intelligent backoff and queue management
• Data Validation: Input validation and sanitization

Configuration

Services are configured through SubX’s unified configuration system:

• API credentials and endpoints
• Performance tuning parameters
• Provider priority and fallback rules
• Caching and resource limits

Modules

• ai - AI service providers for content analysis and intelligent matching
• audio - Audio processing and synchronization analysis utilities

Modules

ai

AI service integration for intelligent subtitle matching and content analysis.

audio

Advanced audio processing and analysis services for SubX.

vad

Local Voice Activity Detection (VAD) module.