# services/llm/grok_service.py
"""
Grok service implementation
"""
from typing import Dict, List, Optional
import json
from .base import LLMService
from config.api_keys import APIKeyManager

class GrokService(LLMService):
    def __init__(self, model: str = "grok-1", temperature: float = 0.3):
        api_key = APIKeyManager.get_grok_key()
        if not api_key:
            raise ValueError("Grok API key not found. Please set up your API keys.")
            
        self.api_key = api_key
        self.model = model
        self.temperature = temperature

    def generate_text(self, prompt: str) -> str:
        """
        Generate text using the Grok API
        TODO: Update this method when Grok API is available
        """
        try:
            # Placeholder for Grok API implementation
            # Update this when the API is released
            raise NotImplementedError("Grok API is not implemented yet")
            
        except Exception as e:
            print(f"Error in Grok API call: {e}")
            return None

    def get_similarity_scores(self, texts_pairs: Dict[str, List[str]]) -> List[float]:
        """
        Calculate similarity scores using the Grok API
        TODO: Update this method when Grok API is available
        """
        try:
            system_prompt = (
                "Evaluate the semantic similarity between the following table of pairs of texts "
                "in json format on a scale from 0 to 1. Return the similarity scores for every "
                "row in JSON format as a list of numbers, without any additional text or formatting."
            )
            
            request_payload = json.dumps(texts_pairs)
            
            # Placeholder for Grok API implementation
            # Update this when the API is released
            raise NotImplementedError("Grok API is not implemented yet")
            
        except Exception as e:
            print(f"Error in Grok similarity calculation: {e}")
            return None

# Update config/api_keys.py to include Grok
@classmethod
def get_grok_key(cls) -> Optional[str]:
    """Get Grok API key from environment or stored configuration"""
    return (
        os.getenv('GROK_API_KEY') or 
        cls._get_stored_key('grok')
    )