Expand description
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::services::ai::{AIClientFactory, AnalysisRequest};
async fn intelligent_matching() -> subx_cli::Result<()> {
let ai_client = AIClientFactory::create_client("openai").await?;
let request = AnalysisRequest {
video_files: vec!["movie.mp4".to_string()],
subtitle_files: vec!["subs1.srt".to_string(), "subs2.srt".to_string()],
content_samples: vec![/* content samples */],
};
let result = ai_client.analyze_content(request).await?;
println!("Best match confidence: {}", result.confidence);
Ok(())
}§Audio Synchronization
ⓘ
use subx_cli::services::audio::AudioTranscoder;
async fn synchronize_audio() -> subx_cli::Result<()> {
let transcoder = AudioTranscoder::new()?;
let wav_path = transcoder.transcode_to_wav("video.mp4").await?;
// Process audio for synchronization
println!("Audio transcoded to: {}", wav_path.display());
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