Create app.py

app.py

@@ -0,0 +1,152 @@
+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"]
+
+# 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"]])
+        
+        # Submit Button
+        submit_button = st.form_submit_button("Next Question")
+
+        # End Button
+        end_test = st.form_submit_button("End Test")
+    
+    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 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
+
+        # 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
+
+        # Re-Render the Page
+        st.experimental_rerun()
+    
+    if end_test:
+        st.write("No of Questions : ", st.session_state.question_no - 1)
+        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)
+
+    # Probability and Chart
+    probabilty = st.session_state.next_class.get_probabilty()
+    st.write(probabilty)
+    
+    data = {"Difficulty Level" : ["Easy", "Medium", "Hard"], "Probabilty" : probabilty.values()}
+    chart_data = pd.DataFrame(data)
+    st.bar_chart(chart_data, x = "Difficulty Level", y = "Probabilty")
+
+st.title("SIH_1460 Quiz")
+
+start_test("DSA90.xlsx")