import os
import time
import json
from dotenv import load_dotenv
from openai import OpenAI
from modules.logger import log_event

load_dotenv()

api_key_openrouter = os.getenv("OPENROUTER_API_KEY") or "sk-or-v1-cle-non-definie"
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=api_key_openrouter)
CATALOGUE_FILE = "/DATA/AppData/MULTI-IA-AETHAS38/catalogue_dynamique.json"

def verifier_cle_api():
    cle = os.getenv("OPENROUTER_API_KEY")
    if not cle or cle == "sk-or-v1-cle-non-definie":
        raise Exception("Clé OPENROUTER_API_KEY absente dans le fichier .env.")
    return cle

def obtenir_modele_dynamique(premium: bool, prompt: str = ""):
    """Charge le catalogue dynamiquement et adapte le modèle si la règle Éducation est détectée."""
    est_education = "RÈGLE ÉDUCATION NATIONALE" in prompt
    
    try:
        if os.path.exists(CATALOGUE_FILE):
            with open(CATALOGUE_FILE, "r", encoding="utf-8") as f:
                data = json.load(f)
                if premium:
                    paid_models = data.get("paid_models", [])
                    claude = [m for m in paid_models if "claude-3.5-sonnet" in m.lower()]
                    return claude[0] if claude else (paid_models[0] if paid_models else "anthropic/claude-3.5-sonnet")
                else:
                    # En mode gratuit + Education, Mistral est le plus pointu en syntaxe française
                    if est_education:
                        return "mistralai/mistral-small-24b-instruct-2501:free"
                        
                    free_models = data.get("free_models", [])
                    priorites = [m for m in free_models if "gemma" in m.lower() or "nemotron" in m.lower()]
                    return priorites[0] if priorites else (free_models[0] if free_models else "google/gemma-2-9b-it:free")
    except Exception:
        pass
        
    if premium: return "anthropic/claude-3.5-sonnet"
    return "mistralai/mistral-small-24b-instruct-2501:free" if est_education else "google/gemma-2-9b-it:free"

def interroger_openrouter(prompt: str, type_modele: str = "openrouter_chat", premium: bool = False, max_retries: int = 2, chat_id: str = None):
    verifier_cle_api()
    nom_modele_api = obtenir_modele_dynamique(premium, prompt) # On passe le prompt pour détecter le marqueur
    nom_affichage = f"OpenRouter ({nom_modele_api.split('/')[-1]})"
    couleur = "#d97757" if premium else "#4a90e2"
    
    extra_body_data = {"session_id": chat_id} if chat_id else {}

    for tentative in range(max_retries):
        try:
            response = client.chat.completions.create(
                model=nom_modele_api,
                messages=[{"role": "user", "content": prompt}],
                extra_headers={"HTTP-Referer": "https://aethas38.duckdns.org", "X-Title": "Aethas38 Multi-IA"},
                extra_body=extra_body_data,
                timeout=90.0
            )
            texte = response.choices[0].message.content
            usage = response.usage
            tokens_in = usage.prompt_tokens if usage else 0
            tokens_out = usage.completion_tokens if usage else 0
            return texte, couleur, "OpenRouter", nom_affichage, tokens_in, tokens_out

        except Exception as e:
            log_event("WARNING", "OPENROUTER", f"Tentative {tentative + 1} échouée pour {nom_modele_api} : {e}")
            if tentative == max_retries - 1:
                try:
                    from modules.model_updater import trigger_update_now
                    trigger_update_now()
                except Exception:
                    pass
                raise e
            time.sleep(1)

    return None, None, None, None, 0, 0

def interroger_openrouter_multi(prompt: str, type_modele: str = "openrouter_code", premium: bool = False, chat_id: str = None) -> list:
    verifier_cle_api()
    extra_body_data = {"session_id": chat_id} if chat_id else {}
    
    # --- LA LISTE BLANCHE DES 5 MEILLEURS MODÈLES ---
    if premium:
        modeles = [
            "anthropic/claude-3.5-sonnet",     # Le meilleur en code/logique
            "openai/gpt-4o",                   # Ultra polyvalent
            "google/gemini-1.5-pro",           # Excellent contexte
            "mistralai/mistral-large-2407",    # Top pour le français
            "meta-llama/llama-3.1-405b-instruct" # Le titan OpenSource
        ]
    else:
        modeles = [
            "google/gemma-2-9b-it:free",
            "meta-llama/llama-3.1-8b-instruct:free",
            "microsoft/phi-3-mini-128k-instruct:free",
            "mistralai/mistral-nemo:free",
            "qwen/qwen-2-7b-instruct:free"
        ]

    reponses = []
    for modele in modeles:
        try:
            res = client.chat.completions.create(
                model=modele,
                messages=[{"role": "user", "content": prompt}],
                extra_headers={"HTTP-Referer": "https://aethas38.duckdns.org", "X-Title": "Aethas38 Multi-IA"},
                extra_body=extra_body_data,
                timeout=90.0
            )
            contenu = res.choices[0].message.content
            if contenu:
                reponses.append({"modele": modele, "texte": contenu})
        except Exception as e:
            log_event("WARNING", "OPENROUTER_MULTI", f"Échec rapide pour {modele} : {e}")
            continue

    return reponses