import os
import gradio as gr
import logging

# --- Config logs ---
logging.basicConfig(
    level=logging.INFO,
    format="[%(asctime)s] %(levelname)s - %(message)s"
)
logger = logging.getLogger(__name__)

# --- OpenAI (SDK officiel) ---
from openai import OpenAI
openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

# --- Mistral (SDK officiel) ---
from mistralai import Mistral
mistral_client = Mistral(api_key=os.getenv("MISTRAL_API_KEY"))

# Choix par défaut
DEFAULT_PROVIDER = "openai"  # ou "mistral"


def llm_chat(messages, max_tokens, temperature, top_p, provider=DEFAULT_PROVIDER):
    provider = (provider or "").strip().lower()
    logger.info(f"Appel LLM provider={provider}, max_tokens={max_tokens}, temp={temperature}, top_p={top_p}")
    logger.info(f"Messages envoyés: {messages}")

    if provider == "openai":
        logger.info("→ Appel OpenAI Chat Completions")
        stream = openai_client.chat.completions.create(
            model="gpt-4o-mini",
            messages=messages,
            temperature=temperature,
            top_p=top_p,
            max_tokens=max_tokens,
            stream=True,
        )
        for chunk in stream:
            delta = chunk.choices[0].delta
            if delta and delta.content:
                logger.debug(f"OpenAI renvoie token: {delta.content!r}")
                yield delta.content

    elif provider == "mistral":
        logger.info("→ Appel Mistral Chat Completions")
        stream = mistral_client.chat.stream(
            model="mistral-large-latest",
            messages=messages,
            temperature=temperature,
            top_p=top_p,
            max_tokens=max_tokens,
        )
        for event in stream:
            if event.type == "chat.completion.chunk":
                piece = event.data.delta or ""
                if piece:
                    logger.debug(f"Mistral renvoie token: {piece!r}")
                    yield piece
        stream.close()

    else:
        logger.error(f"Provider inconnu: {provider}")
        yield "[Erreur] Provider inconnu (utilise 'openai' ou 'mistral')."


def respond(
    message,
    history: list[dict[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
    provider,  # "openai" ou "mistral"
):
    messages = [{"role": "system", "content": system_message}]
    messages.extend(history)
    messages.append({"role": "user", "content": message})

    logger.info(f"Nouvelle requête utilisateur: {message}")
    response = ""
    for token in llm_chat(
        messages=messages,
        max_tokens=max_tokens,
        temperature=temperature,
        top_p=top_p,
        provider=provider,
    ):
        response += token
        yield response
    logger.info(f"Réponse finale générée: {response}")


chatbot = gr.ChatInterface(
    respond,
    type="messages",
    additional_inputs=[
        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
        gr.Slider(minimum=1, maximum=4096, value=512, step=1, label="Max new tokens"),
        gr.Slider(minimum=0.0, maximum=2.0, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(minimum=0.0, maximum=1.0, value=0.95, step=0.05, label="Top-p"),
        gr.Dropdown(choices=["openai", "mistral"], value=DEFAULT_PROVIDER, label="Provider"),
    ],
)

with gr.Blocks() as demo:
    chatbot.render()

if __name__ == "__main__":
    demo.launch()