import asyncio
import json
import logging
import base64
import os
from typing import AsyncGenerator, Optional, Dict, Any, Tuple
import websockets
# For actual Gemini Live API, an SDK would be used. This is a PoC wrapper.

logger = logging.getLogger(__name__)

class GeminiLiveAPIClient:
    """
    Client for interacting with Gemini Live API for real-time, bidirectional STT and TTS.
    This is a Proof-of-Concept wrapper, simulating the Gemini Live API behavior.
    """
    def __init__(self, api_key: str, cache_name_file: str = ".gemini/context_cache_name.txt"):
        self.api_key = api_key
        self.cache_name = None
        # In a real implementation, you'd initialize the official Gemini Live API client here.
        if not self.api_key or self.api_key == "YOUR_GEMINI_API_KEY":
            logger.warning("GEMINI_API_KEY not set for GeminiLiveAPIClient. Running in simulated mode.")
        
        try:
            with open(cache_name_file, 'r') as f:
                self.cache_name = f.read().strip()
            logger.info(f"GeminiLiveAPIClient initialized with context cache: {self.cache_name}")
        except FileNotFoundError:
            logger.warning(f"Context cache name file not found at {cache_name_file}. GeminiLiveAPIClient will not use a cache.")
        except Exception as e:
            logger.error(f"Error reading context cache name file: {e}")

        logger.info("GeminiLiveAPIClient initialized (PoC mode)")

    async def generate_response_stream(
        self,
        audio_stream: AsyncGenerator[bytes, None],
        # visual_stream: Optional[AsyncGenerator[bytes, None]] = None, # For multimodal input
        context: Optional[str] = None
    ) -> AsyncGenerator[Dict[str, Any], None]:
        """
        Connects to Gemini Live API and yields responses (text, audio, etc.).
        Expects an async generator of audio chunks.
        """
        if self.cache_name:
            logger.info(f"Connecting to simulated Gemini Live API stream with cache: {self.cache_name}")
            # In a real implementation, you would pass self.cache_name to the Gemini API client here.
            # e.g., client.generate_content(..., cached_content=self.cache_name)
        else:
            logger.info("Connecting to simulated Gemini Live API stream...")
        
        # Simulate initial connection time
        await asyncio.sleep(0.1)

        full_transcription = ""
        sentence_buffer = ""
        last_yield_time = asyncio.get_event_loop().time()
        
        # Simulate various response types from Gemini
        simulated_responses = [
            {"type": "stt_segment", "text_segment": "Hello"},
            {"type": "stt_segment", "text_segment": "how can I"},
            {"type": "stt_segment", "text_segment": "help you?"},
            {"type": "tts_response", "text": "I am ready to assist you. Please tell me your query.", "audio_base64": base64.b64encode(b"simulated aiva audio bytes 1").decode()},
            {"type": "stt_segment", "text_segment": "I need to"},
            {"type": "stt_segment", "text_segment": "browse a website"},
            {"type": "tts_response", "text": "Understood. Which website would you like to visit?", "audio_base64": base64.b64encode(b"simulated aiva audio bytes 2").decode()}
        ]
        response_idx = 0


        async for audio_chunk in audio_stream:
            # In a real scenario, this audio_chunk would be sent to Gemini Live API
            # and we'd await actual responses.
            # For PoC, we simulate the STT side and then cycle through pre-defined responses.
            
            # Simulate STT processing for incoming audio
            sim_stt_segment = self._simulate_stt_from_chunk(audio_chunk)
            if sim_stt_segment:
                full_transcription += sim_stt_segment + " "
                yield {"type": "stt_segment", "text_segment": sim_stt_segment}
            
            # Yield simulated Gemini responses periodically
            if response_idx < len(simulated_responses) and 
               (asyncio.get_event_loop().time() - last_yield_time > 1.0 or self._is_sentence_complete(full_transcription)):
                
                response = simulated_responses[response_idx]
                yield response
                last_yield_time = asyncio.get_event_loop().time()
                response_idx += 1
                if response.get("type") == "tts_response":
                    full_transcription = "" # Reset transcription after a full TTS response

    def _simulate_stt_from_chunk(self, audio_chunk: bytes) -> str:
        """A placeholder for actual STT via Gemini Live API."""
        # In a real Gemini Live API integration, audio_chunk would be sent and text segments received.
        # This just simulates some output based on chunk size.
        if len(audio_chunk) > 1000:
            return "some words"
        elif len(audio_chunk) > 500:
            return "a few"
        return ""

    def _is_sentence_complete(self, text: str) -> bool:
        """Heuristic to detect end of a spoken sentence."""
        return bool(text.strip().endswith((".", "?", "!")))

# Example usage (for testing)
async def main():
    api_key = os.environ.get("GEMINI_API_KEY", "YOUR_GEMINI_API_KEY")
    client = GeminiLiveAPIClient(api_key=api_key)

    async def dummy_audio_stream():
        """Generates dummy audio chunks."""
        yield b"dummy audio data for hello" * 500
        await asyncio.sleep(0.5)
        yield b"dummy audio data for gemini" * 500
        await asyncio.sleep(1.0) # Simulate a pause
        yield b"dummy audio data for browse" * 500
        await asyncio.sleep(0.5)
        yield b"dummy audio data for website" * 500
        await asyncio.sleep(1.0)

    print("Starting Gemini Live API client PoC (Simulated)...")
    async for response in client.generate_response_stream(dummy_audio_stream()):
        if response.get("type") == "stt_segment":
            print(f"STT Segment: {response.get('text_segment')}")
        elif response.get("type") == "tts_response":
            print(f"TTS Response: {response.get('text')} (Audio length: {len(base64.b64decode(response['audio_base64']))} bytes)")
        else:
            print(f"Received: {response}")

if __name__ == "__main__":
    asyncio.run(main())