tts_interface.py

"""
TTS Interface and Implementations
"""

from abc import ABC, abstractmethod
from typing import Optional, Dict, Any, Set
import httpx
import os
from datetime import datetime
import sys

from tts_preprocessor import TTSPreprocessor

def log(message: str):
    timestamp = datetime.now().strftime("%H:%M:%S.%f")[:-3]
    print(f"[{timestamp}] {message}")
    sys.stdout.flush()

class TTSInterface(ABC):
    """Abstract base class for TTS providers"""
    
    def __init__(self):
        self.preprocessing_flags: Set[str] = set()
        self.supports_ssml: bool = False
        
    @abstractmethod
    async def synthesize(self, text: str, voice_id: Optional[str] = None, **kwargs) -> bytes:
        """Convert text to speech and return audio bytes"""
        pass
    
    @abstractmethod
    def get_supported_voices(self) -> Dict[str, str]:
        """Get list of supported voices"""
        pass
    
    def get_preprocessing_flags(self) -> Set[str]:
        """Get preprocessing flags for this provider"""
        return self.preprocessing_flags
    
    def supports_ssml_format(self) -> bool:
        """Check if provider supports SSML"""
        return self.supports_ssml

class ElevenLabsTTS(TTSInterface):
    """ElevenLabs TTS implementation"""
    
    def __init__(self, api_key: str):
        super().__init__()
        self.api_key = api_key.strip()  # Başındaki/sonundaki boşlukları temizle
        self.base_url = "https://api.elevenlabs.io/v1"
        self.default_voice_id = "2thYbn2sOGtiTwd9QwWH" # Avencia

        # ElevenLabs için preprocessing gereken alanlar
        self.preprocessing_flags = {
            TTSPreprocessor.PREPROCESS_NUMBERS,    # Büyük sayılar
            TTSPreprocessor.PREPROCESS_CURRENCY,   # Para birimleri
            TTSPreprocessor.PREPROCESS_TIME,       # Saat formatı
            TTSPreprocessor.PREPROCESS_CODES,      # PNR kodları
            TTSPreprocessor.PREPROCESS_PERCENTAGE  # Yüzdeler
        }
        
        # tr-TR -> tr dönüşümü
        self.preprocessor = TTSPreprocessor(language="tr")
    
    async def synthesize(
        self, 
        text: str, 
        voice_id: Optional[str] = None,
        model_id: Optional[str] = None,
        output_format: Optional[str] = None,
        **kwargs
    ) -> bytes:
        """Convert text to speech using ElevenLabs API"""
        
        # Preprocess text
        processed_text = self.preprocessor.preprocess(text, self.preprocessing_flags)
        
        # Use defaults if not provided
        voice_id = voice_id or self.default_voice_id
        model_id = model_id or "eleven_multilingual_v2"
        output_format = output_format or "mp3_44100_128"
        
        url = f"{self.base_url}/text-to-speech/{voice_id}"
        
        headers = {
            "Accept": "audio/mpeg",
            "Content-Type": "application/json",
            "xi-api-key": self.api_key
        }
        
        data = {
            "text": processed_text,
            "model_id": model_id,
            "voice_settings": {
                "stability": 0.5,
                "similarity_boost": 0.75,
                "style": 0.0,
                "use_speaker_boost": True
            }
        }
        
        # Add output format to URL if specified
        if output_format:
            url += f"?output_format={output_format}"
        
        try:
            async with httpx.AsyncClient() as client:
                log(f"🎤 ElevenLabs TTS request: voice={voice_id}, model={model_id}")
                log(f"📝 Text (first 100 chars): {processed_text[:100]}...")
                
                response = await client.post(
                    url, 
                    json=data, 
                    headers=headers,
                    timeout=30.0
                )
                
                response.raise_for_status()
                audio_data = response.content
                
                log(f"✅ ElevenLabs TTS returned {len(audio_data)} bytes")
                return audio_data
                
        except httpx.HTTPStatusError as e:
            log(f"❌ ElevenLabs API error: {e.response.status_code} - {e.response.text}")
            raise
        except Exception as e:
            log(f"❌ TTS synthesis error: {e}")
            raise
    
    def get_supported_voices(self) -> Dict[str, str]:
        """Get default voices - full list can be fetched from API"""
        return {
            "21m00Tcm4TlvDq8ikWAM": "Rachel (Female)",
            "EXAVITQu4vr4xnSDxMaL": "Bella (Female)",
            "ErXwobaYiN019PkySvjV": "Antoni (Male)",
            "VR6AewLTigWG4xSOukaG": "Arnold (Male)",
            "pNInz6obpgDQGcFmaJgB": "Adam (Male)",
            "yoZ06aMxZJJ28mfd3POQ": "Sam (Male)",
        }

class BlazeTTS(TTSInterface):
    """Placeholder for future Blaze TTS implementation"""
    
    def __init__(self, api_key: str):
        super().__init__()
        self.api_key = api_key
        
    async def synthesize(self, text: str, voice_id: Optional[str] = None, **kwargs) -> bytes:
        raise NotImplementedError("Blaze TTS not implemented yet")
    
    def get_supported_voices(self) -> Dict[str, str]:
        return {}


def create_tts_provider(engine: str, api_key: Optional[str] = None) -> Optional[TTSInterface]:
    """Factory function to create TTS provider instances"""
    if engine == "elevenlabs" and api_key:
        return ElevenLabsTTS(api_key)
    elif engine == "blaze" and api_key:
        return BlazeTTS(api_key)
    elif engine == "no_tts":
        return None
    else:
        log(f"⚠️ Unknown or unconfigured TTS engine: {engine}")
        return None