
from typing import Dict, Optional, List, AsyncGenerator
import logging
import os
from autobyteus.llm.models import LLMModel
from autobyteus.llm.base_llm import BaseLLM
from autobyteus.llm.utils.llm_config import LLMConfig
from autobyteus.llm.utils.messages import MessageRole, Message
from autobyteus.llm.utils.token_usage import TokenUsage
from autobyteus.llm.utils.response_types import CompleteResponse, ChunkResponse

logger = logging.getLogger(__name__)

class GroqLLM(BaseLLM):
    def __init__(self, model: LLMModel = None, system_message: str = None, custom_config: LLMConfig = None):
        super().__init__(model=model or LLMModel.LLAMA_3_1_70B_VERSATILE_API, system_message=system_message, custom_config=custom_config)
        self.client = self.initialize()

    @classmethod
    def initialize(cls):
        groq_api_key = os.environ.get("GROQ_API_KEY")
        if not groq_api_key:
            raise ValueError(
                "GROQ_API_KEY environment variable is not set. "
                "Please set this variable in your environment."
            )
        try:
            # Initialize Groq client here
            # Placeholder for actual initialization
            return "GroqClientInitialized"
        except Exception as e:
            raise ValueError(f"Failed to initialize Groq client: {str(e)}")
    
    async def _send_user_message_to_llm(self, user_message: str, file_paths: Optional[List[str]] = None, **kwargs) -> CompleteResponse:
        self.add_user_message(user_message)
        try:
            # Placeholder for sending message to Groq API
            assistant_message = "Response from Groq API"
            self.add_assistant_message(assistant_message)
            
            token_usage = TokenUsage(
                prompt_tokens=0,
                completion_tokens=0,
                total_tokens=0
            )
            
            return CompleteResponse(
                content=assistant_message,
                usage=token_usage
            )
        except Exception as e:
            logger.error(f"Error in Groq API call: {str(e)}")
            raise ValueError(f"Error in Groq API call: {str(e)}")
    
    async def _stream_user_message_to_llm(
        self, user_message: str, file_paths: Optional[List[str]] = None, **kwargs
    ) -> AsyncGenerator[ChunkResponse, None]:
        self.add_user_message(user_message)
        complete_response = ""
        try:
            # Placeholder for streaming from Groq API
            tokens = ["Response ", "streamed ", "from ", "Groq ", "API."]
            for token in tokens:
                complete_response += token
                yield ChunkResponse(
                    content=token,
                    is_complete=False
                )
            
            token_usage = TokenUsage(
                prompt_tokens=0,
                completion_tokens=0,
                total_tokens=0
            )
            
            yield ChunkResponse(
                content="",
                is_complete=True,
                usage=token_usage
            )
            
            self.add_assistant_message(complete_response)
        except Exception as e:
            logger.error(f"Error in Groq API streaming: {str(e)}")
            raise ValueError(f"Error in Groq API streaming: {str(e)}")
    
    async def cleanup(self):
        super().cleanup()
