chatbot_tutor / pages /postquiz.py
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import streamlit as st
import pandas as pd
from utils.firebase_util import push_postquiz_data
import time
df = pd.read_csv("./LSATLR_questions.csv")
df['qid'] = df['qid'].astype(int)
postquiz_qs = df[df['qid'] > 0].sort_values(by='qid', ascending=True).reset_index(drop=True)
st.title("Post-Quiz")
st.write("Please answer the following questions to the best of your ability. (Est. time: 15m)")
questions = []
for index, row in postquiz_qs.iterrows():
st.write(f"Question {index + 1}:")
questions.append(st.radio(
row['Question'],
[row['A'], row['B'], row['C'], row['D'], row['E']],
key=f'prequiz{row["qid"]}',
))
st.divider()
def on_submit():
print(time.time())
print(st.session_state.postquiz_start_time)
duration = time.time() - st.session_state.postquiz_start_time
corr = []
for index, row in postquiz_qs.iterrows():
correct_answer = row[row['Correct Ans.']]
if questions[index] == correct_answer:
corr.append(1)
else:
corr.append(0)
postquiz_qs['Correct'] = corr
postquiz_qs.groupby('Subtopic').agg(num_correct=('Correct', 'sum'), num_questions=('Correct', 'count')).reset_index()
push_postquiz_data(corr, duration)
st.switch_page("pages/postsurvey.py")
btn = st.button("Submit")
if btn:
on_submit()
st.markdown(
"""<style>
div[class*="stRadio"] > label > div[data-testid="stMarkdownContainer"] > p {
font-size: 18px;
}
</style>
""", unsafe_allow_html=True)