import json
import random
from pathlib import Path

import streamlit as st
from streamlit import session_state as ss

# Initialize session state
if "current_question" not in ss:
    ss.current_question = None


# Function to select a random question
def select_question():
    with open("donnees/questions.json") as file:
        questions = json.load(file)["questions"]
        random.shuffle(questions)
        ss.current_question = questions.pop()
        # Shuffle the answers
        answers = [
            ss.current_question["answer1"],
            ss.current_question["answer2"],
            ss.current_question["answer3"],
            ss.current_question["answer4"]
        ]
        random.shuffle(answers)
        ss.current_answers = answers


# Function to check the selected answer
def check_answer():
    correct_answer = ss.current_question["answer1"]
    selected_answer = ss.selected_answer

    if selected_answer == correct_answer:
        st.success("Bonne réponse!")
    else:
        st.error(f"Mauvaise réponse! La bonne réponse est: {correct_answer}")
    st.subheader("Explication")
    st.write(ss.current_question["explanation"])
    ss.clear()


# Main app
st.image("images/banniere.jpeg")
st.title("Culture Créative - Version Bêta !")

# Haut de page
header_content = Path("donnees/header.md").read_text()
st.markdown(header_content, unsafe_allow_html=True)

# Check if a question is already selected
if not ss.current_question:
    select_question()

# Form for answerr
with st.form("answer_form"):
    # Display the current question
    st.subheader("Question")
    st.write(ss.current_question["question"])
    # Display the answer options
    st.subheader("Réponses possibles")
    ss.selected_answer = st.radio(f"Choisis une réponse", options=["---"] + ss.current_answers, key=0)
    # Display the correct answer
    if st.form_submit_button(label="Vérifier") and ss.selected_answer != "---":
        check_answer()
        if st.form_submit_button(label="Prochaine question"):
            ss.clear()
            select_question()
# Pied de page
footer_content = Path("donnees/footer.md").read_text()
st.markdown(footer_content, unsafe_allow_html=True)