import streamlit as st
import google.generativeai as genai
import os
from dotenv import load_dotenv
import http.client
import json
import shutil
import streamlit.components.v1 as components

# Charger les variables d'environnement
load_dotenv()
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

# Paramètres de sécurité
safety_settings = [
    {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
]

# Instructions système (inchangées pour brièveté)
ss = """
# Prompt System pour Mariam, IA conçu par youssouf 
[...]
"""

model = genai.GenerativeModel('gemini-2.0-flash-exp', tools='code_execution',
                              safety_settings=safety_settings,
                              system_instruction=ss)

# Fonctions de recherche web (inchangées)
def perform_web_search(query):
    conn = http.client.HTTPSConnection("google.serper.dev")
    payload = json.dumps({"q": query})
    headers = {'X-API-KEY': '9b90a274d9e704ff5b21c0367f9ae1161779b573', 'Content-Type': 'application/json'}
    try:
        conn.request("POST", "/search", payload, headers)
        res = conn.getresponse()
        data = json.loads(res.read().decode("utf-8"))
        return data
    except Exception as e:
        st.error(f"Erreur lors de la recherche web : {e}")
        return None
    finally:
        conn.close()

def format_search_results(data):
    if not data:
        return "Aucun résultat trouvé"
    result = ""
    if 'knowledgeGraph' in data:
        kg = data['knowledgeGraph']
        result += f"### {kg.get('title', '')}\n*{kg.get('type', '')}*\n\n{kg.get('description', '')}\n\n"
    if 'organic' in data:
        result += "### Résultats principaux:\n"
        for item in data['organic'][:3]:
            result += f"- **{item['title']}**\n  {item['snippet']}\n  [Lien]({item['link']})\n\n"
    return result

# Initialisation de l’état
if "chat" not in st.session_state:
    st.session_state.chat = model.start_chat(history=[])
if "web_search" not in st.session_state:
    st.session_state.web_search = False
if "messages" not in st.session_state:
    st.session_state.messages = []

# Fonction pour effacer l’historique
def clear_chat_history():
    st.session_state.chat = model.start_chat(history=[])
    st.session_state.messages = []

# CSS personnalisé pour mobile
st.markdown("""
    <style>
    .chat-container {
        height: 60vh;
        overflow-y: auto;
        padding: 10px;
        background-color: #f9f9f9;
        border-radius: 10px;
    }
    .user-message {
        background-color: #007bff;
        color: white;
        padding: 10px;
        border-radius: 10px;
        margin: 5px 0;
        max-width: 80%;
        align-self: flex-end;
    }
    .assistant-message {
        background-color: #e9ecef;
        color: black;
        padding: 10px;
        border-radius: 10px;
        margin: 5px 0;
        max-width: 80%;
    }
    .input-container {
        position: fixed;
        bottom: 0;
        width: 100%;
        padding: 10px;
        background-color: white;
        box-shadow: 0 -2px 5px rgba(0,0,0,0.1);
    }
    @media (max-width: 600px) {
        .chat-container {
            height: 70vh;
        }
        .stTextArea textarea {
            height: 80px !important;
        }
    }
    </style>
""", unsafe_allow_html=True)

# Titre
st.title("Mariam AI")

# Section des paramètres (expansible)
with st.expander("Paramètres"):
    st.session_state.web_search = st.toggle("Activer la recherche web", value=st.session_state.web_search, 
                                            help="Permet des réponses enrichies avec des données du web.")
    if st.button("Effacer l’historique"):
        clear_chat_history()
        st.success("Historique effacé.")

# Section de téléchargement
with st.expander("Télécharger un fichier"):
    st.info("Types acceptés : jpg, jpeg, png, pdf, txt")
    uploaded_file = st.file_uploader("Choisir un fichier", type=['jpg', 'jpeg', 'png', 'pdf', 'txt'])

# Zone de conversation
st.markdown('<div class="chat-container">', unsafe_allow_html=True)
for message in st.session_state.messages:
    if message["role"] == "user":
        st.markdown(f'<div class="user-message">{message["content"]}</div>', unsafe_allow_html=True)
    else:
        st.markdown(f'<div class="assistant-message">{message["content"]}</div>', unsafe_allow_html=True)
st.markdown('</div>', unsafe_allow_html=True)

# JavaScript pour défiler automatiquement
components.html("""
    <script>
    const chatContainer = document.querySelector('.chat-container');
    chatContainer.scrollTop = chatContainer.scrollHeight;
    </script>
""")

# Zone de saisie
st.markdown('<div class="input-container">', unsafe_allow_html=True)
user_input = st.text_area("Votre message", height=80, key="input")
col1, col2 = st.columns([3, 1])
with col1:
    pass
with col2:
    send_button = st.button("Envoyer")
st.markdown('</div>', unsafe_allow_html=True)

# Traitement de l’entrée utilisateur
if send_button and user_input:
    st.session_state.messages.append({"role": "user", "content": user_input})
    
    # Traitement du fichier
    uploaded_gemini_file = None
    if uploaded_file:
        file_ext = uploaded_file.name.split('.')[-1].lower()
        if file_ext in ['jpg', 'jpeg', 'png', 'pdf', 'txt']:
            with open(os.path.join("temp", uploaded_file.name), "wb") as f:
                f.write(uploaded_file.getbuffer())
            try:
                uploaded_gemini_file = genai.upload_file(os.path.join("temp", uploaded_file.name))
            except Exception as e:
                st.error(f"Erreur lors de l’upload : {e}")
        else:
            st.error("Type de fichier non accepté.")
    
    # Recherche web
    web_results = None
    if st.session_state.web_search:
        with st.spinner("Recherche web en cours..."):
            web_results = perform_web_search(user_input)
            if web_results:
                formatted_results = format_search_results(web_results)
                user_input = f"{user_input}\n\nRésultats de recherche :\n{formatted_results}\nAnalyse ces informations et réponds-moi."

    # Réponse de Mariam
    try:
        if uploaded_gemini_file:
            response = st.session_state.chat.send_message([uploaded_gemini_file, "\n\n", user_input])
        else:
            response = st.session_state.chat.send_message(user_input)
        st.session_state.messages.append({"role": "assistant", "content": response.text})
    except Exception as e:
        st.error(f"Erreur : {e}")
    
    # Nettoyage
    if uploaded_file:
        shutil.rmtree("temp", ignore_errors=True)
    os.makedirs("temp", exist_ok=True)
    
    # Rafraîchir la page pour afficher la réponse
    st.rerun()