"""
Service for interacting with Google's Gemini API.
"""
import logging

import google.generativeai as genai

from app.core.config import settings

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Configure Gemini API
genai.configure(api_key=settings.GEMINI_API_KEY)


async def analyze_messages(messages: list[str]) -> str | None:
    """
    Analyze a list of WhatsApp messages using Gemini 2.5 Pro.

    Args:
        messages: List of message texts to analyze

    Returns:
        Analysis text or None if analysis failed
    """
    try:
        # Join messages into a single string with line breaks
        messages_text = "\n\n".join(messages)

        # Prepare prompt for Gemini
        prompt = f"""
        You are an expert in analyzing WhatsApp conversations. I will provide you with a set of WhatsApp messages.

        Please analyze these messages and provide the following insights:

        1. Key topics and themes discussed
        2. Sentiment analysis (overall mood of the conversations)
        3. Frequent participants and their engagement levels
        4. Any action items or follow-ups mentioned
        5. Suggestions or recommendations based on the conversations

        Format your response in a well-organized manner with clear headings and bullet points.

        Here are the messages to analyze:

        {messages_text}
        """

        # Get Gemini model
        model = genai.GenerativeModel(model_name="gemini-1.5-pro")

        # Generate response
        response = await model.generate_content_async(prompt)

        # Return the analysis text
        return response.text

    except Exception as e:
        logger.exception(f"Error analyzing messages with Gemini: {str(e)}")
        return None