"""
Template: Multi-Provider Factory

Use this template to create a factory that supports multiple providers
for transcription, LLM, and TTS services.
"""

from typing import Dict, Any
from abc import ABC, abstractmethod
import logging

logger = logging.getLogger(__name__)


# ============================================================================
# Provider Interfaces
# ============================================================================

class TranscriberProvider(ABC):
    """Abstract base class for transcriber providers"""
    
    @abstractmethod
    async def transcribe_stream(self, audio_stream):
        """Transcribe streaming audio"""
        pass


class LLMProvider(ABC):
    """Abstract base class for LLM providers"""
    
    @abstractmethod
    async def generate_response(self, messages, stream=True):
        """Generate response from messages"""
        pass


class TTSProvider(ABC):
    """Abstract base class for TTS providers"""
    
    @abstractmethod
    async def synthesize_speech(self, text):
        """Synthesize speech from text"""
        pass


# ============================================================================
# Multi-Provider Factory
# ============================================================================

class VoiceComponentFactory:
    """
    Factory for creating voice AI components with multiple provider support
    
    Supports:
    - Multiple transcription providers (Deepgram, AssemblyAI, Azure, Google)
    - Multiple LLM providers (OpenAI, Gemini, Claude)
    - Multiple TTS providers (ElevenLabs, Azure, Google, Polly, Play.ht)
    """
    
    def __init__(self):
        self.transcriber_providers = {
            "deepgram": self._create_deepgram_transcriber,
            "assemblyai": self._create_assemblyai_transcriber,
            "azure": self._create_azure_transcriber,
            "google": self._create_google_transcriber,
        }
        
        self.llm_providers = {
            "openai": self._create_openai_agent,
            "gemini": self._create_gemini_agent,
            "claude": self._create_claude_agent,
        }
        
        self.tts_providers = {
            "elevenlabs": self._create_elevenlabs_synthesizer,
            "azure": self._create_azure_synthesizer,
            "google": self._create_google_synthesizer,
            "polly": self._create_polly_synthesizer,
            "playht": self._create_playht_synthesizer,
        }
    
    def create_transcriber(self, config: Dict[str, Any]):
        """
        Create transcriber based on configuration
        
        Args:
            config: Configuration dict with 'transcriberProvider' key
        
        Returns:
            Transcriber instance
        
        Raises:
            ValueError: If provider is not supported
        """
        provider = config.get("transcriberProvider", "deepgram").lower()
        
        if provider not in self.transcriber_providers:
            raise ValueError(
                f"Unknown transcriber provider: {provider}. "
                f"Supported: {list(self.transcriber_providers.keys())}"
            )
        
        logger.info(f"🎤 Creating transcriber: {provider}")
        return self.transcriber_providers[provider](config)
    
    def create_agent(self, config: Dict[str, Any]):
        """
        Create LLM agent based on configuration
        
        Args:
            config: Configuration dict with 'llmProvider' key
        
        Returns:
            Agent instance
        
        Raises:
            ValueError: If provider is not supported
        """
        provider = config.get("llmProvider", "openai").lower()
        
        if provider not in self.llm_providers:
            raise ValueError(
                f"Unknown LLM provider: {provider}. "
                f"Supported: {list(self.llm_providers.keys())}"
            )
        
        logger.info(f"🤖 Creating agent: {provider}")
        return self.llm_providers[provider](config)
    
    def create_synthesizer(self, config: Dict[str, Any]):
        """
        Create TTS synthesizer based on configuration
        
        Args:
            config: Configuration dict with 'voiceProvider' key
        
        Returns:
            Synthesizer instance
        
        Raises:
            ValueError: If provider is not supported
        """
        provider = config.get("voiceProvider", "elevenlabs").lower()
        
        if provider not in self.tts_providers:
            raise ValueError(
                f"Unknown voice provider: {provider}. "
                f"Supported: {list(self.tts_providers.keys())}"
            )
        
        logger.info(f"🔊 Creating synthesizer: {provider}")
        return self.tts_providers[provider](config)
    
    # ========================================================================
    # Transcriber Implementations
    # ========================================================================
    
    def _create_deepgram_transcriber(self, config: Dict[str, Any]):
        """Create Deepgram transcriber"""
        # TODO: Implement Deepgram transcriber
        # from .transcribers.deepgram import DeepgramTranscriber
        # return DeepgramTranscriber(
        #     api_key=config.get("deepgramApiKey"),
        #     model=config.get("deepgramModel", "nova-2"),
        #     language=config.get("language", "en-US")
        # )
        raise NotImplementedError("Deepgram transcriber not implemented")
    
    def _create_assemblyai_transcriber(self, config: Dict[str, Any]):
        """Create AssemblyAI transcriber"""
        # TODO: Implement AssemblyAI transcriber
        raise NotImplementedError("AssemblyAI transcriber not implemented")
    
    def _create_azure_transcriber(self, config: Dict[str, Any]):
        """Create Azure Speech transcriber"""
        # TODO: Implement Azure transcriber
        raise NotImplementedError("Azure transcriber not implemented")
    
    def _create_google_transcriber(self, config: Dict[str, Any]):
        """Create Google Cloud Speech transcriber"""
        # TODO: Implement Google transcriber
        raise NotImplementedError("Google transcriber not implemented")
    
    # ========================================================================
    # LLM Agent Implementations
    # ========================================================================
    
    def _create_openai_agent(self, config: Dict[str, Any]):
        """Create OpenAI agent"""
        # TODO: Implement OpenAI agent
        # from .agents.openai import OpenAIAgent
        # return OpenAIAgent(
        #     api_key=config.get("openaiApiKey"),
        #     model=config.get("openaiModel", "gpt-4"),
        #     system_prompt=config.get("prompt", "You are a helpful assistant.")
        # )
        raise NotImplementedError("OpenAI agent not implemented")
    
    def _create_gemini_agent(self, config: Dict[str, Any]):
        """Create Google Gemini agent"""
        # TODO: Implement Gemini agent
        # from .agents.gemini import GeminiAgent
        # return GeminiAgent(
        #     api_key=config.get("geminiApiKey"),
        #     model=config.get("geminiModel", "gemini-pro"),
        #     system_prompt=config.get("prompt", "You are a helpful assistant.")
        # )
        raise NotImplementedError("Gemini agent not implemented")
    
    def _create_claude_agent(self, config: Dict[str, Any]):
        """Create Anthropic Claude agent"""
        # TODO: Implement Claude agent
        raise NotImplementedError("Claude agent not implemented")
    
    # ========================================================================
    # TTS Synthesizer Implementations
    # ========================================================================
    
    def _create_elevenlabs_synthesizer(self, config: Dict[str, Any]):
        """Create ElevenLabs synthesizer"""
        # TODO: Implement ElevenLabs synthesizer
        # from .synthesizers.elevenlabs import ElevenLabsSynthesizer
        # return ElevenLabsSynthesizer(
        #     api_key=config.get("elevenlabsApiKey"),
        #     voice_id=config.get("elevenlabsVoiceId"),
        #     model_id=config.get("elevenlabsModel", "eleven_monolingual_v1")
        # )
        raise NotImplementedError("ElevenLabs synthesizer not implemented")
    
    def _create_azure_synthesizer(self, config: Dict[str, Any]):
        """Create Azure TTS synthesizer"""
        # TODO: Implement Azure synthesizer
        raise NotImplementedError("Azure synthesizer not implemented")
    
    def _create_google_synthesizer(self, config: Dict[str, Any]):
        """Create Google Cloud TTS synthesizer"""
        # TODO: Implement Google synthesizer
        raise NotImplementedError("Google synthesizer not implemented")
    
    def _create_polly_synthesizer(self, config: Dict[str, Any]):
        """Create Amazon Polly synthesizer"""
        # TODO: Implement Polly synthesizer
        raise NotImplementedError("Polly synthesizer not implemented")
    
    def _create_playht_synthesizer(self, config: Dict[str, Any]):
        """Create Play.ht synthesizer"""
        # TODO: Implement Play.ht synthesizer
        raise NotImplementedError("Play.ht synthesizer not implemented")


# ============================================================================
# Example Usage
# ============================================================================

def example_usage():
    """Example of how to use the factory"""
    
    # Configuration
    config = {
        "transcriberProvider": "deepgram",
        "deepgramApiKey": "your-api-key",
        "llmProvider": "gemini",
        "geminiApiKey": "your-api-key",
        "voiceProvider": "elevenlabs",
        "elevenlabsApiKey": "your-api-key",
        "elevenlabsVoiceId": "your-voice-id",
        "prompt": "You are a helpful AI assistant."
    }
    
    # Create factory
    factory = VoiceComponentFactory()
    
    try:
        # Create components
        transcriber = factory.create_transcriber(config)
        agent = factory.create_agent(config)
        synthesizer = factory.create_synthesizer(config)
        
        print("✅ All components created successfully!")
        
    except ValueError as e:
        print(f"❌ Configuration error: {e}")
    except NotImplementedError as e:
        print(f"⚠️ Not implemented: {e}")


if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO)
    example_usage()