app.py

import streamlit as st
import pandas as pd
import numpy as np

from get_next_question import next_question_level
lvl = {"easy" : 0, "medium" : 1, "hard" : 2}
idx = ["easy", "medium", "hard"]

# Limit
limit = 15

# Update Ability Score
def ability(H,L,R,W):
    if R == 0:
        R  = 0.5
        W -= 0.5
    elif W == 0:
        W  = 0.5
        R -= 0.5

    score = (H/L) + np.log(R/W)
    return score

def fetch_question(fileName, level, visitedQuestions):
    # Difficulty Level
    if (level > 2 or level < 0):
        return None

    difficulty_level = ["Easy", "Medium", "Hard"][level]

    # Fetch Data from Excel
    df = pd.read_excel(fileName)

    # Filter Based On Difficulty
    df_filtered = df[df["Difficulty Level"] == difficulty_level]

    # Select a Random Question from Filtered Sample
    df_sample = None
    while (df_sample is None) or (df_sample.index[0] in visitedQuestions):
        df_sample = df_filtered.sample(n=1)

    # Assign Unique Number
    df_sample["id"] = df_sample.index[0]

    # Question
    question = df_sample.iloc[0].to_dict()

    return question

def next_level(currentLevel, response):
    st.session_state.next_class.response_to_current_question(response["correct"], currentLevel)
    return lvl[st.session_state.next_class.level()]

def start_test(fileName):
    # __init__ Values
    while 'next_class' not in st.session_state:
        st.session_state.next_class = next_question_level({'easy':50,'medium':30, 'hard':20})

    while 'probability' not in st.session_state:
        st.session_state.probability = st.session_state.next_class.get_probabilty

    while 'score' not in st.session_state:
        st.session_state.score = 0
        
    while 'level' not in st.session_state:
        st.session_state.level = lvl[st.session_state.next_class.level()]

    while 'visited_question' not in st.session_state:
        st.session_state.visited_question = []

    while 'question_no' not in st.session_state:
        st.session_state.question_no = 1

    while 'H' not in st.session_state:
        st.session_state.H = 0

    while 'L' not in st.session_state:
        st.session_state.L = 0

    while 'R' not in st.session_state:
        st.session_state.R = 0

    while 'W' not in st.session_state:
        st.session_state.W = 0 

    while 'question' not in st.session_state:
        st.session_state.question = fetch_question(fileName, st.session_state.level, st.session_state.visited_question)
        
    question = st.session_state.question

    with st.form("button_form"):
        # Difficulty Level
        st.write("Question No", st.session_state.question_no)
        st.write("Difficulty Level : ", question["Difficulty Level"], ", Difficulty Rating : ", question["Difficulty Rating"])

        # Question
        st.write(question["Question"])

        # Options
        options = st.radio("Options : ", [question["Option1"], question["Option2"],
                                          question["Option3"], question["Option4"]])

        ####
        st.write("Correct Answer : ",question["Correct Answer"])
        
        # Submit Button
        submit_button = st.form_submit_button("Next Question", disabled=(st.session_state.question_no >= limit))

        # End Button
        end_test = st.form_submit_button("End Test", disabled=(st.session_state.question_no < limit))
    
    if submit_button:
        correct = (options == question["Correct Answer"])
        question["correct"] = correct
        
        # Response -> Updated Question with Correct or Not
        response = question

        # Update Score
        st.session_state.score += int(response["correct"])

        # Update L, H, R, W
        st.session_state.L = st.session_state.question_no
        st.session_state.H = st.session_state.level + 1
        st.session_state.R += int(response["correct"])
        st.session_state.W += int(not response["correct"])

        # Update Question No
        st.session_state.question_no += 1

        # Update Next State
        st.session_state.visited_question.append(response["id"])
        st.session_state.level = next_level(idx[st.session_state.level], response)

        # Next Question 
        st.session_state.question = fetch_question(fileName, st.session_state.level, st.session_state.visited_question)
        question = st.session_state.question

        # Re-Render the Page
        st.experimental_rerun()
    
    if end_test:
        correct = (options == question["Correct Answer"])
        question["correct"] = correct
    
        # Response -> Updated Question with Correct or Not
        response = question

        # Update Score
        st.session_state.score += int(response["correct"])

        # Update L, H, R, W
        st.session_state.L = st.session_state.question_no
        st.session_state.H = st.session_state.level + 1
        st.session_state.R += int(response["correct"])
        st.session_state.W += int(not response["correct"])

        # Display Values
        st.write("No of Questions : ", st.session_state.question_no)
        st.write("Ability Score : ", ability(st.session_state.H, st.session_state.L, st.session_state.R, st.session_state.W))
        st.write("Correct Answers : ", st.session_state.R)
        st.write("Wrong Answers : ", st.session_state.W)

        # Reset Values
        st.session_state.next_class = next_question_level({'easy':50,'medium':30, 'hard':20})
        st.session_state.probability = st.session_state.next_class.get_probabilty
        st.session_state.score = 0
        st.session_state.level = lvl[st.session_state.next_class.level()]
        st.session_state.visited_question = []
        st.session_state.question_no = 1
        st.session_state.H = 0
        st.session_state.L = 0
        st.session_state.R = 0
        st.session_state.W = 0 
        st.session_state.question = fetch_question(fileName, st.session_state.level, st.session_state.visited_question)

        # Re-Test Button
        re_test = st.button("Attempt Again")

        if re_test:
            st.session_state.clicked = False

            # Re-Render the Page
            st.experimental_rerun()

    # Probability and Chart
    probabilty = st.session_state.next_class.get_probabilty()
    
    data = {"Difficulty Level" : ["1 - Easy", "2 - Medium", "3 - Hard"], "Probabilty" : probabilty.values()}
    chart_data = pd.DataFrame(data)
    st.bar_chart(chart_data, x = "Difficulty Level", y = "Probabilty")

st.title("Adaptive Quiz")

start_test("DSA90.xlsx")