from openai import OpenAI
from fastapi import HTTPException
from .models import SystemSettings

def get_ai_response(messages: list, settings: SystemSettings) -> str:
    """
    Route la conversation vers le premier fournisseur IA disponible configuré par l'admin.
    """
    if not settings:
        raise HTTPException(status_code=500, detail="Configuration système introuvable.")

    # Formatage de l'historique pour l'API (OpenAI compatible)
    formatted_messages = [{"role": msg.role, "content": msg.content} for msg in messages]

    try:
        # 1. Test OpenRouter
        if settings.openrouter_api_key:
            client = OpenAI(
                base_url="https://openrouter.ai/api/v1",
                api_key=settings.openrouter_api_key,
            )
            model = "google/gemini-pro"
            response = client.chat.completions.create(
                model=model,
                messages=formatted_messages,
                extra_headers={"HTTP-Referer": "https://aethas38.duckdns.org", "X-Title": "AETHAS38"}
            )
        
        # 2. Test Gemini direct (Google propose désormais une API compatible OpenAI !)
        elif settings.gemini_api_key:
            client = OpenAI(
                base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
                api_key=settings.gemini_api_key,
            )
            model = "gemini-1.5-flash"
            response = client.chat.completions.create(
                model=model,
                messages=formatted_messages
            )

        # 3. Test DeepSeek
        elif settings.deepseek_api_key:
            client = OpenAI(
                base_url="https://api.deepseek.com/v1",
                api_key=settings.deepseek_api_key,
            )
            model = "deepseek-chat"
            response = client.chat.completions.create(
                model=model,
                messages=formatted_messages
            )
            
        # 4. Test Groq
        elif settings.groq_api_key:
            client = OpenAI(
                base_url="https://api.groq.com/openai/v1",
                api_key=settings.groq_api_key,
            )
            model = "llama3-8b-8192"
            response = client.chat.completions.create(
                model=model,
                messages=formatted_messages
            )
            
        else:
            raise HTTPException(status_code=400, detail="Aucune clé API IA n'est configurée.")

        return response.choices[0].message.content

    except Exception as e:
        # On capture l'erreur exacte et on la renvoie au frontend pour comprendre le blocage
        print(f"Erreur détaillée : {str(e)}")
        raise HTTPException(status_code=502, detail=f"Détail du fournisseur : {str(e)}")