app.py

import asyncio
import gradio as gr
from core.utils import generate_first_question
from core.mbti_analyzer import analyze_mbti
from core.interviewer import generate_next_question


# ---- Адаптер ----
def analyze_and_ask_sync(user_text, prev_count, user_id="default_user"):
    """Синхронный адаптер для Gradio"""
    return asyncio.run(analyze_and_ask(user_text, prev_count, user_id))


# ---- Асинхронная логика ----
async def analyze_and_ask(user_text, prev_count, user_id="default_user"):
    if not user_text.strip():
        return "⚠️ Введите ответ.", "", prev_count

    try:
        n = int(prev_count.split("/")[0]) + 1
    except Exception:
        n = 1
    counter = f"{n}/16"

    mbti_text = ""
    for part in analyze_mbti(user_text):
        mbti_text = part

    next_q_data = await generate_next_question(user_id, user_text)
    if next_q_data["completed"]:
        next_question = "✅ Interview finished! All 16 personality categories covered."
    else:
        next_question = f"({next_q_data['category']}) {next_q_data['question']}"

    return mbti_text, next_question, counter


# ---- Gradio UI ----
with gr.Blocks(theme=gr.themes.Soft(), title="MBTI Interviewer AI") as demo:
    gr.Markdown("## 🧠 MBTI Personality Interviewer\nАнализ и вопросы по 16 категориям MBTI.")

    with gr.Row():
        with gr.Column(scale=1):
            inp = gr.Textbox(label="Ваш ответ", placeholder="Например: I enjoy organizing group projects.", lines=4)
            btn = gr.Button("Отправить", variant="primary")
        with gr.Column(scale=1):
            mbti_out = gr.Textbox(label="📊 Анализ MBTI", lines=4)
            interviewer_out = gr.Textbox(label="💬 Следующий вопрос", lines=3)
            progress = gr.Textbox(label="⏳ Прогресс", value="0/16")

    # Здесь вызываем адаптер
    btn.click(analyze_and_ask_sync, inputs=[inp, progress], outputs=[mbti_out, interviewer_out, progress])

    demo.load(lambda: ("", generate_first_question(), "0/16"),
              inputs=None, outputs=[mbti_out, interviewer_out, progress])

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