app/chat.py

import streamlit as st
from streamlit_chat import message
from streamlit_mic_recorder import speech_to_text
import base64
import asyncio
import edge_tts
import gtts
from hashlib import md5
from io import BytesIO
from app.db import supabase
import os
import glob
import time
from dotenv import load_dotenv

load_dotenv()

# Bersihkan cache audio lama (opsional)
def clean_old_cache(tts_dir="cache_tts", max_age_hours=12):
    now = time.time()
    for f in glob.glob(os.path.join(tts_dir, "*.mp3")):
        if os.stat(f).st_mtime < now - max_age_hours * 3600:
            os.remove(f)

# Jalankan pembersihan saat startup
clean_old_cache()

def save_feedback_to_supabase(feedback_text):
    try:
        data = {"message": feedback_text}
        supabase.table("feedback").insert(data).execute()
        return True
    except Exception as e:
        st.error(f"Gagal menyimpan feedback: {e}")
        return False

def initialize_session_state():
    if 'history' not in st.session_state:
        st.session_state['history'] = []
    if 'generated' not in st.session_state:
        st.session_state['generated'] = ["Halo! Saya bisa membantu anda menjawab pertanyaan seputar Politeknik Negeri Padang!"]
    if 'past' not in st.session_state:
        st.session_state['past'] = ["Hai! 👋"]
    if 'data_len' not in st.session_state:
        st.session_state['data_len'] = 0
    if 'vector_store' not in st.session_state:
        st.session_state['vector_store'] = None
    if 'should_speak' not in st.session_state:
        st.session_state['should_speak'] = False
    if 'input_text' not in st.session_state:
        st.session_state['input_text'] = ""
    if 'tts_output' not in st.session_state:
        st.session_state['tts_output'] = ""
    if 'tts_played' not in st.session_state:
        st.session_state['tts_played'] = True  # default True supaya tidak main saat awal

# edge-tts fallback (cadangan)
async def generate_audio_edge(text, path, voice="id-ID-GadisNeural"):
    communicate = edge_tts.Communicate(text, voice=voice)
    await communicate.save(path)

# fungsi utama TTS dengan fallback
def text_to_speech(text):
    cache_dir = "cache_tts"
    os.makedirs(cache_dir, exist_ok=True)
    filename = f"{md5(text.encode()).hexdigest()}.mp3"
    path = os.path.join(cache_dir, filename)

    if not os.path.exists(path):
        try:
            # ✅ Utama: gTTS
            tts = gtts.gTTS(text, lang="id")
            tts.save(path)
        except Exception as e:
            print(f"[gTTS gagal] {e}")
            try:
                # ✅ Cadangan: edge-tts
                asyncio.run(generate_audio_edge(text, path))
            except Exception as e2:
                print(f"[Edge-TTS juga gagal] {e2}")
                st.warning("🔇 Gagal membuat audio TTS.")
                return ""

    try:
        with open(path, "rb") as audio_file:
            audio_base64 = base64.b64encode(audio_file.read()).decode()

        return f"""
        <audio autoplay>
            <source src="data:audio/mp3;base64,{audio_base64}" type="audio/mp3">
        </audio>
        """
    except Exception as e:
        print(f"[Error saat membaca audio] {e}")
        return ""

def conversation_chat(query, chain, history):
    result = chain({"question": query, "chat_history": history})
    history.append((query, result["answer"]))
    return result["answer"]

def display_chat_history(chain):
    reply_container = st.container()

    user_input_obj = st.chat_input("Masukkan pertanyaan", key="chat_input_field")

    col2, col3 = st.columns([1, 1])

    # Tombol TTS Aktif / Nonaktif
    with col2:
        if st.button("🔊 Text-to-Speech Aktif" if st.session_state['should_speak'] else "🔇 Text-to-Speech Nonaktif", 
                     key="toggle_tts", 
                     help="Aktifkan/Nonaktifkan Text-to-Speech", 
                     use_container_width=True):
            st.session_state['should_speak'] = not st.session_state['should_speak']
            st.experimental_rerun()

    # Tombol Input Suara
    with col3:
        stt_text = speech_to_text(
            start_prompt="🎤 Input Suara",
            stop_prompt="🛑 Stop",
            language='id',
            just_once=True,
            key='stt_input',
            use_container_width=True,
        )

    # Ambil input user dari teks atau suara
    user_input = user_input_obj or stt_text

    # Jika ada input
    if user_input:
        with st.spinner('Sedang membuat jawaban...'):
            output = conversation_chat(user_input, chain, st.session_state['history'])

        st.session_state['past'].append(user_input)
        st.session_state['generated'].append(output)

        # Mainkan TTS jika diaktifkan.
        if st.session_state['should_speak']:
            st.markdown(text_to_speech(output), unsafe_allow_html=True)

    # Tampilkan Riwayat Chat
    if st.session_state['generated']:
        with reply_container:
            for i in range(len(st.session_state['generated'])):
                message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="no-avatar")
                message(st.session_state["generated"][i], key=str(i), avatar_style="no-avatar")