diff --git "a/session_page.py" "b/session_page.py"
--- "a/session_page.py"
+++ "b/session_page.py"
@@ -1,2896 +1,3 @@
-# from collections import defaultdict
-# import json
-# import random
-# import requests
-# import streamlit as st
-# from datetime import datetime, timedelta
-# from youtube_transcript_api import YouTubeTranscriptApi
-# from utils.helpers import display_progress_bar, create_notification, format_datetime
-# from file_upload_vectorize import upload_resource, extract_text_from_file, create_vector_store, resources_collection, model, assignment_submit
-# from db import courses_collection2, chat_history_collection, students_collection, faculty_collection, vectors_collection
-# from chatbot import give_chat_response
-# from bson import ObjectId
-# from live_polls import LivePollFeature
-# import pandas as pd
-# import plotly.express as px
-# from dotenv import load_dotenv
-# import os
-# from pymongo import MongoClient
-# from gen_mcqs import generate_mcqs, save_quiz, quizzes_collection, get_student_quiz_score, submit_quiz_answers
-# from create_course import courses_collection
-# # from pre_class_analytics import NovaScholarAnalytics
-# from pre_class_analytics2 import NovaScholarAnalytics
-# import openai
-# from openai import OpenAI
-# import google.generativeai as genai
-# from google.generativeai import caching
-# from goals2 import GoalAnalyzer
-# from openai import OpenAI
-# import asyncio
-# import numpy as np
-# import re
-# from analytics import derive_analytics, create_embeddings, cosine_similarity
-# from bs4 import BeautifulSoup
-# import streamlit.components.v1 as components
-# from live_chat_feature import display_live_chat_interface
-# from code_playground import display_code_playground
-# from urllib.parse import urlparse, parse_qs
-# from bs4 import BeautifulSoup
-# from rubrics import display_rubrics_tab
-# from subjective_test_evaluation import evaluate_subjective_answers, display_evaluation_to_faculty
-
-# # Load environment variables
-# load_dotenv()
-# MONGO_URI = os.getenv('MONGO_URI')
-# PERPLEXITY_API_KEY = os.getenv('PERPLEXITY_KEY')
-# OPENAI_API_KEY = os.getenv('OPENAI_KEY')
-# client = MongoClient(MONGO_URI)
-# db = client["novascholar_db"]
-# polls_collection = db["polls"]
-# subjective_tests_collection = db["subjective_tests"]
-# subjective_test_evaluation_collection = db["subjective_test_evaluation"]
-# assignment_evaluation_collection = db["assignment_evaluation"]
-# subjective_tests_collection = db["subjective_tests"]
-# synoptic_store_collection = db["synoptic_store"]
-# assignments_collection = db["assignments"]
-
-# # for implementing Context Caching:
-# # PROJECT_ID = "novascholar-446709"
-# # vertexai.init(project=PROJECT_ID, location="us-west4")
-
-# def get_current_user():
-# if 'current_user' not in st.session_state:
-# return None
-# return students_collection.find_one({"_id": st.session_state.user_id})
-
-# # def display_preclass_content(session, student_id, course_id):
-# """Display pre-class materials for a session"""
-
-# # Initialize 'messages' in session_state if it doesn't exist
-# if 'messages' not in st.session_state:
-# st.session_state.messages = []
-
-# # Display pre-class materials
-# materials = list(resources_collection.find({"course_id": course_id, "session_id": session['session_id']}))
-# st.subheader("Pre-class Materials")
-
-# if materials:
-# for material in materials:
-# with st.expander(f"{material['file_name']} ({material['material_type'].upper()})"):
-# file_type = material.get('file_type', 'unknown')
-# if file_type == 'application/pdf':
-# st.markdown(f"đ [Open PDF Document]({material['file_name']})")
-# if st.button("View PDF", key=f"view_pdf_{material['file_name']}"):
-# st.text_area("PDF Content", material['text_content'], height=300)
-# if st.button("Download PDF", key=f"download_pdf_{material['file_name']}"):
-# st.download_button(
-# label="Download PDF",
-# data=material['file_content'],
-# file_name=material['file_name'],
-# mime='application/pdf'
-# )
-# if st.button("Mark PDF as Read", key=f"pdf_{material['file_name']}"):
-# create_notification("PDF marked as read!", "success")
-# else:
-# st.info("No pre-class materials uploaded by the faculty.")
-# st.subheader("Upload Pre-class Material")
-
-# # File upload section for students
-# uploaded_file = st.file_uploader("Upload Material", type=['txt', 'pdf', 'docx'])
-# if uploaded_file is not None:
-# with st.spinner("Processing document..."):
-# file_name = uploaded_file.name
-# file_content = extract_text_from_file(uploaded_file)
-# if file_content:
-# material_type = st.selectbox("Select Material Type", ["pdf", "docx", "txt"])
-# if st.button("Upload Material"):
-# upload_resource(course_id, session['session_id'], file_name, uploaded_file, material_type)
-
-# # Search for the newly uploaded resource's _id in resources_collection
-# resource_id = resources_collection.find_one({"file_name": file_name})["_id"]
-# create_vector_store(file_content, resource_id)
-# st.success("Material uploaded successfully!")
-
-# st.subheader("Learn the Topic Using Chatbot")
-# st.write(f"**Session Title:** {session['title']}")
-# st.write(f"**Description:** {session.get('description', 'No description available.')}")
-
-# # Chatbot interface
-# if prompt := st.chat_input("Ask a question about the session topic"):
-# if len(st.session_state.messages) >= 20:
-# st.warning("Message limit (20) reached for this session.")
-# return
-
-# st.session_state.messages.append({"role": "user", "content": prompt})
-
-# # Display User Message
-# with st.chat_message("user"):
-# st.markdown(prompt)
-
-# # Get response from chatbot
-# context = ""
-# for material in materials:
-# if 'text_content' in material:
-# context += material['text_content'] + "\n"
-
-# response = give_chat_response(student_id, session['session_id'], prompt, session['title'], session.get('description', ''), context)
-# st.session_state.messages.append({"role": "assistant", "content": response})
-
-# # Display Assistant Response
-# with st.chat_message("assistant"):
-# st.markdown(response)
-
-# # st.subheader("Your Chat History")
-# # for message in st.session_state.messages:
-# # content = message.get("content", "") # Default to an empty string if "content" is not present
-# # role = message.get("role", "user") # Default to "user" if "role" is not present
-# # with st.chat_message(role):
-# # st.markdown(content)
-# # user = get_current_user()
-
-# def display_preclass_content(session, student_id, course_id):
-# """Display pre-class materials for a session including external resources"""
-# st.subheader("Pre-class Materials")
-# print("Session ID is: ", session['session_id'])
-
-# # Display uploaded materials
-# materials = resources_collection.find({"session_id": session['session_id']})
-
-# for material in materials:
-# file_type = material.get('file_type', 'unknown')
-
-# # Handle external resources
-# if file_type == 'external' or file_type == 'video':
-# with st.expander(f"đ {material['file_name']}"):
-# st.markdown(f"Source: [{material['source_url']}]({material['source_url']})")
-
-# if material['material_type'].lower() == 'video':
-# # Embed YouTube video if it's a YouTube URL
-# if 'youtube.com' in material['source_url'] or 'youtu.be' in material['source_url']:
-# video_id = extract_youtube_id(material['source_url'])
-# if video_id:
-# st.video(f"https://youtube.com/watch?v={video_id}")
-
-# if st.button("View Content", key=f"view_external_{material['_id']}"):
-# st.text_area("Extracted Content", material['text_content'], height=300)
-
-# if st.button("Mark as Read", key=f"external_{material['_id']}"):
-# create_notification(f"{material['material_type']} content marked as read!", "success")
-
-# # Handle traditional file types
-# else:
-# with st.expander(f"{material['file_name']} ({material['material_type'].upper()})"):
-# if file_type == 'application/pdf':
-# st.markdown(f"đ [Open PDF Document]({material['file_name']})")
-# if st.button("View PDF", key=f"view_pdf_{material['_id']}"):
-# st.text_area("PDF Content", material['text_content'], height=300)
-# if st.button("Download PDF", key=f"download_pdf_{material['_id']}"):
-# st.download_button(
-# label="Download PDF",
-# data=material['file_content'],
-# file_name=material['file_name'],
-# mime='application/pdf'
-# )
-# if st.button("Mark PDF as Read", key=f"pdf_{material['_id']}"):
-# create_notification("PDF marked as read!", "success")
-
-# elif file_type == 'text/plain':
-# st.markdown(f"đ [Open Text Document]({material['file_name']})")
-# if st.button("View Text", key=f"view_text_{material['_id']}"):
-# st.text_area("Text Content", material['text_content'], height=300)
-# if st.button("Download Text", key=f"download_text_{material['_id']}"):
-# st.download_button(
-# label="Download Text",
-# data=material['file_content'],
-# file_name=material['file_name'],
-# mime='text/plain'
-# )
-# if st.button("Mark Text as Read", key=f"text_{material['_id']}"):
-# create_notification("Text marked as read!", "success")
-
-# elif file_type == 'application/vnd.openxmlformats-officedocument.wordprocessingml.document':
-# st.markdown(f"đ [Open Word Document]({material['file_name']})")
-# if st.button("View Word", key=f"view_word_{material['_id']}"):
-# st.text_area("Word Content", material['text_content'], height=300)
-# if st.button("Download Word", key=f"download_word_{material['_id']}"):
-# st.download_button(
-# label="Download Word",
-# data=material['file_content'],
-# file_name=material['file_name'],
-# mime='application/vnd.openxmlformats-officedocument.wordprocessingml.document'
-# )
-# if st.button("Mark Word as Read", key=f"word_{material['_id']}"):
-# create_notification("Word document marked as read!", "success")
-
-# elif file_type == 'application/vnd.openxmlformats-officedocument.presentationml.presentation':
-# st.markdown(f"đ [Open PowerPoint Presentation]({material['file_name']})")
-# if st.button("View PowerPoint", key=f"view_pptx_{material['_id']}"):
-# st.text_area("PowerPoint Content", material['text_content'], height=300)
-# if st.button("Download PowerPoint", key=f"download_pptx_{material['_id']}"):
-# st.download_button(
-# label="Download PowerPoint",
-# data=material['file_content'],
-# file_name=material['file_name'],
-# mime='application/vnd.openxmlformats-officedocument.presentationml.presentation'
-# )
-# if st.button("Mark PowerPoint as Read", key=f"pptx_{material['_id']}"):
-# create_notification("PowerPoint presentation marked as read!", "success")
-
-
-# # Initialize 'messages' in session_state if it doesn't exist
-# if 'messages' not in st.session_state:
-# st.session_state.messages = []
-
-# # Chat input
-# # Add a check, if materials are available, only then show the chat input
-# if(st.session_state.user_type == "student"):
-# if materials:
-# if prompt := st.chat_input("Ask a question about Pre-class Materials"):
-# # if len(st.session_state.messages) >= 20:
-# # st.warning("Message limit (20) reached for this session.")
-# # return
-
-# st.session_state.messages.append({"role": "user", "content": prompt})
-
-# # Display User Message
-# with st.chat_message("user"):
-# st.markdown(prompt)
-
-# # Get document context
-# context = ""
-# print("Session ID is: ", session['session_id'])
-# materials = resources_collection.find({"session_id": session['session_id']})
-# print(materials)
-# context = ""
-# vector_data = None
-
-# # for material in materials:
-# # print(material)
-# context = ""
-# for material in materials:
-# resource_id = material['_id']
-# print("Supposed Resource ID is: ", resource_id)
-# vector_data = vectors_collection.find_one({"resource_id": resource_id})
-# # print(vector_data)
-# if vector_data and 'text' in vector_data:
-# context += vector_data['text'] + "\n"
-
-# if not vector_data:
-# st.error("No Pre-class materials found for this session.")
-# return
-
-# try:
-# # Generate response using Gemini
-# # context_prompt = f"""
-# # Based on the following context, answer the user's question:
-
-# # Context:
-# # {context}
-
-# # Question: {prompt}
-
-# # Please provide a clear and concise answer based only on the information provided in the context.
-# # """
-# # context_prompt = f"""
-# # You are a highly intelligent and resourceful assistant capable of synthesizing information from the provided context.
-
-# # Context:
-# # {context}
-
-# # Instructions:
-# # 1. Base your answers primarily on the given context.
-# # 2. If the answer to the user's question is not explicitly in the context but can be inferred or synthesized from the information provided, do so thoughtfully.
-# # 3. Only use external knowledge or web assistance when:
-# # - The context lacks sufficient information, and
-# # - The question requires knowledge beyond what can be reasonably inferred from the context.
-# # 4. Clearly state if you are relying on web assistance for any part of your answer.
-# # 5. Do not respond with a negative. If the answer is not in the context, provide a thoughtful response based on the information available on the web about it.
-
-# # Question: {prompt}
-
-# # Please provide a clear and comprehensive answer based on the above instructions.
-# # """
-# context_prompt = f"""
-# You are a highly intelligent and resourceful assistant capable of synthesizing information from the provided context and external sources.
-
-# Context:
-# {context}
-
-# Instructions:
-# 1. Base your answers on the provided context wherever possible.
-# 2. If the answer to the user's question is not explicitly in the context:
-# - Use external knowledge or web assistance to provide a clear and accurate response.
-# 3. Do not respond negatively. If the answer is not in the context, use web assistance or your knowledge to generate a thoughtful response.
-# 4. Clearly state if part of your response relies on web assistance.
-
-# Question: {prompt}
-
-# Please provide a clear and comprehensive answer based on the above instructions.
-# """
-
-# response = model.generate_content(context_prompt)
-# if not response or not response.text:
-# st.error("No response received from the model")
-# return
-
-# assistant_response = response.text
-# # Display Assistant Response
-# with st.chat_message("assistant"):
-# st.markdown(assistant_response)
-
-# # Build the message
-# new_message = {
-# "prompt": prompt,
-# "response": assistant_response,
-# "timestamp": datetime.utcnow()
-# }
-# st.session_state.messages.append(new_message)
-# # Update database
-# try:
-# chat_history_collection.update_one(
-# {
-# "user_id": student_id,
-# "session_id": session['session_id']
-# },
-# {
-# "$push": {"messages": new_message},
-# "$setOnInsert": {
-# "user_id": student_id,
-# "session_id": session['session_id'],
-# "timestamp": datetime.utcnow()
-# }
-# },
-# upsert=True
-# )
-# except Exception as db_error:
-# st.error(f"Error saving chat history: {str(db_error)}")
-# except Exception as e:
-# st.error(f"Error generating response: {str(e)}")
-
-# else:
-# st.subheader("Upload Pre-class Material")
-# # File upload section for students
-# uploaded_file = st.file_uploader("Upload Material", type=['txt', 'pdf', 'docx'])
-# if uploaded_file is not None:
-# with st.spinner("Processing document..."):
-# file_name = uploaded_file.name
-# file_content = extract_text_from_file(uploaded_file)
-# if file_content:
-# material_type = st.selectbox("Select Material Type", ["pdf", "docx", "txt"])
-# if st.button("Upload Material"):
-# upload_resource(course_id, session['session_id'], file_name, uploaded_file, material_type)
-# # print("Resource ID is: ", resource_id)
-# # Search for the newly uploaded resource's _id in resources_collection
-# # resource_id = resources_collection.find_one({"file_name": file_name})["_id"]
-# st.success("Material uploaded successfully!")
-# # st.experimental_rerun()
-# # st.subheader("Your Chat History")
-# if st.button("View Chat History"):
-# # Initialize chat messages from database
-# if 'messages' not in st.session_state or not st.session_state.messages:
-# existing_chat = chat_history_collection.find_one({
-# "user_id": student_id,
-# "session_id": session['session_id']
-# })
-# if existing_chat and 'messages' in existing_chat:
-# st.session_state.messages = existing_chat['messages']
-# else:
-# st.session_state.messages = []
-
-# # Display existing chat history
-# try:
-# for message in st.session_state.messages:
-# if 'prompt' in message and 'response' in message:
-# with st.chat_message("user"):
-# st.markdown(message["prompt"])
-# with st.chat_message("assistant"):
-# st.markdown(message["response"])
-# except Exception as e:
-# st.error(f"Error displaying chat history: {str(e)}")
-# st.session_state.messages = []
-
-# if st.session_state.user_type == 'student':
-# st.subheader("Create a Practice Quiz")
-# questions = []
-# quiz_id = ""
-# with st.form("create_quiz_form"):
-# num_questions = st.number_input("Number of Questions", min_value=1, max_value=20, value=2)
-# submit_quiz = st.form_submit_button("Generate Quiz")
-# if submit_quiz:
-# # Get pre-class materials from resources_collection
-# materials = resources_collection.find({"session_id": session['session_id']})
-# context = ""
-# for material in materials:
-# if 'text_content' in material:
-# context += material['text_content'] + "\n"
-
-# if not context:
-# st.error("No pre-class materials found for this session.")
-# return
-
-# # Generate MCQs from context
-# questions = generate_mcqs(context, num_questions, session['title'], session.get('description', ''))
-# if questions:
-# quiz_id = save_quiz(course_id, session['session_id'], "Practice Quiz", questions, student_id)
-# if quiz_id:
-# st.success("Quiz saved successfully!")
-# st.session_state.show_quizzes = True
-# else:
-# st.error("Error saving quiz.")
-# else:
-# st.error("Error generating questions.")
-
-# # if st.button("Attempt Practice Quizzes "):
-# # quizzes = list(quizzes_collection.find({"course_id": course_id, "session_id": session['session_id'], "user_id": student_id}))
-
-
-# if getattr(st.session_state, 'show_quizzes', False):
-# # quiz = quizzes_collection.find_one({"course_id": course_id, "session_id": session['session_id'], "user_id": student_id})
-# quiz = quizzes_collection.find_one(
-# {"course_id": course_id, "session_id": session['session_id'], "user_id": student_id},
-# sort=[("created_at", -1)]
-# )
-# if not quiz:
-# st.info("No practice quizzes created.")
-# else:
-# with st.expander(f"đ Practice Quiz", expanded=False):
-# # Check if student has already taken this quiz
-# existing_score = get_student_quiz_score(quiz['_id'], student_id)
-
-# if existing_score is not None:
-# st.success(f"Quiz completed! Your score: {existing_score:.1f}%")
-
-# # Display correct answers after submission
-# st.subheader("Quiz Review")
-# for i, question in enumerate(quiz['questions']):
-# st.markdown(f"**Question {i+1}:** {question['question']}")
-# for opt in question['options']:
-# if opt.startswith(question['correct_option']):
-# st.markdown(f"â
{opt}")
-# else:
-# st.markdown(f"- {opt}")
-
-# else:
-# # Initialize quiz state for this specific quiz
-# quiz_key = f"quiz_{quiz['_id']}_student_{student_id}"
-# if quiz_key not in st.session_state:
-# st.session_state[quiz_key] = {
-# 'submitted': False,
-# 'score': None,
-# 'answers': {}
-# }
-
-# # If quiz was just submitted, show the results
-# if st.session_state[quiz_key]['submitted']:
-# st.success(f"Quiz submitted successfully! Your score: {st.session_state[quiz_key]['score']:.1f}%")
-# # Reset the quiz state
-# st.session_state[quiz_key]['submitted'] = False
-
-
-# # Display quiz questions
-# st.write("Please select your answers:")
-
-# # Create a form for quiz submission
-# form_key = f"quiz_form_{quiz['_id']}_student_{student_id}"
-# with st.form(key=form_key):
-# student_answers = {}
-
-# for i, question in enumerate(quiz['questions']):
-# st.markdown(f"**Question {i+1}:** {question['question']}")
-# options = [opt for opt in question['options']]
-# # student_answers[str(i)] = st.radio(
-# # f"Select answer for question {i+1}:",
-# # options=options,
-# # key=f"q_{i}",
-# # index=None
-# # )
-# answer = st.radio(
-# f"Select answer for question {i+1}:",
-# options=options,
-# key=f"{quiz['_id']}_{i}", # Simplify the radio button key
-# index=None
-# )
-# if answer: # Only add to answers if a selection was made
-# student_answers[str(i)] = answer
-
-# # Submit button
-# # submitted = st.form_submit_button("Submit Quiz")
-# print("Before the submit button")
-# submit_button = st.form_submit_button("Submit Quiz")
-# print("After the submit button")
-# if submit_button and student_answers:
-# print("Clicked the button")
-# print(student_answers)
-# correct_answers = 0
-# for i, question in enumerate(quiz['questions']):
-# if student_answers[str(i)] == question['correct_option']:
-# correct_answers += 1
-# score = (correct_answers / len(quiz['questions'])) * 100
-
-# if score is not None:
-# st.success(f"Quiz submitted successfully! Your score: {score:.1f}%")
-# st.session_state[quiz_key]['submitted'] = True
-# st.session_state[quiz_key]['score'] = score
-# st.session_state[quiz_key]['answers'] = student_answers
-# # This will trigger a rerun, but now we'll handle it properly
-# st.rerun()
-
-# else:
-# st.error("Error submitting quiz. Please try again.")
-# # correct_answers = 0
-# # for i, question in enumerate(quiz['questions']):
-# # if student_answers[str(i)] == question['correct_option']:
-# # correct_answers += 1
-# # score = (correct_answers / len(quiz['questions'])) * 100
-# # print(score)
-# # try:
-# # quizzes_collection.update_one(
-# # {"_id": quiz['_id']},
-# # {"$push": {"submissions": {"student_id": student_id, "score": score}}}
-# # )
-# # st.success(f"Quiz submitted successfully! Your score: {score:.1f}%")
-# # except Exception as db_error:
-# # st.error(f"Error saving submission: {str(db_error)}")
-
-# import requests
-
-# def get_supported_url_formats():
-# """Return a list of supported URL formats for faculty reference"""
-# return """
-# Supported YouTube URL formats:
-# 1. Standard watch URL: https://www.youtube.com/watch?v=VIDEO_ID
-# 2. Short URL: https://youtu.be/VIDEO_ID
-# 3. Embed URL: https://www.youtube.com/embed/VIDEO_ID
-# 4. Mobile URL: https://m.youtube.com/watch?v=VIDEO_ID
-# 5. YouTube Shorts: https://www.youtube.com/shorts/VIDEO_ID
-
-# You can copy any of these formats from:
-# - YouTube website (Share button)
-# - YouTube mobile app (Share button)
-# - Browser address bar while watching the video
-# """
-
-
-# def display_url_guidance():
-# """Display guidance for faculty on how to get the correct URL"""
-# st.info("""
-# đ How to get the correct YouTube URL:
-# 1. Go to the YouTube video you want to share
-# 2. Click the 'Share' button below the video
-# 3. Copy the URL provided in the share dialog
-# 4. Paste it here
-
-# The URL should start with either 'youtube.com' or 'youtu.be'
-# """)
-# def fetch_youtube_video_title(video_url):
-# """
-# Fetch the title of a YouTube video with detailed error handling
-# """
-# api_key = os.getenv("YOUTUBE_API_KEY")
-# if not api_key:
-# st.error("â ī¸ System Configuration Error: YouTube API key not configured.")
-# st.write("Please contact technical support for assistance.")
-# return None
-
-# video_id = extract_youtube_id(video_url)
-# if not video_id:
-# return None
-
-# url = f"https://www.googleapis.com/youtube/v3/videos?id={video_id}&key={api_key}&part=snippet"
-# try:
-# response = requests.get(url, timeout=10)
-# response.raise_for_status()
-
-# data = response.json()
-# if not data.get("items"):
-# st.error("â ī¸ Video not found or might be private.")
-# st.write("""
-# Please check if:
-# 1. The video is publicly available
-# 2. The URL is correct
-# 3. The video hasn't been deleted
-# """)
-# return None
-
-# return data["items"][0]["snippet"]["title"]
-
-# except requests.exceptions.RequestException as e:
-# if "quotaExceeded" in str(e):
-# st.error("â ī¸ YouTube API quota exceeded.")
-# st.write("""
-# The system has reached its daily limit for video processing.
-# Please try:
-# 1. Waiting a few hours
-# 2. Trying again tomorrow
-# 3. Contact support if the issue persists
-# """)
-# else:
-# st.error(f"Error fetching video title: {str(e)}")
-# st.write("Please try again or choose a different video.")
-# return None
-
-# def upload_video_source(course_id, session_id, video_url):
-# """
-# Upload video source and its transcript with comprehensive error handling
-# """
-# if not video_url:
-# st.error("Please provide a YouTube URL.")
-# display_url_guidance()
-# return None
-
-# # Display processing message
-# # with st.spinner("Processing your YouTube video..."):
-# # Validate video URL
-# video_id = extract_youtube_id(video_url)
-# if not video_id:
-# return None
-
-# # Fetch video title
-# video_title = fetch_youtube_video_title(video_url)
-# if not video_title:
-# return None
-
-# # Extract transcript
-# transcript = extract_youtube_transcript(video_url)
-# if not transcript:
-# return None
-
-# # Create resource document
-# resource_data = {
-# "_id": ObjectId(),
-# "course_id": course_id,
-# "session_id": session_id,
-# "file_name": video_title,
-# "file_type": "video",
-# "text_content": transcript,
-# "material_type": "video",
-# "source_url": video_url,
-# "uploaded_at": datetime.utcnow(),
-# "video_id": video_id
-# }
-
-# # Check if resource already exists
-# existing_resource = resources_collection.find_one({
-# "session_id": session_id,
-# "video_id": video_id
-# })
-
-# if existing_resource:
-# st.warning("â ī¸ This video has already been added to this session.")
-# st.write("""
-# Options:
-# 1. Choose a different video
-# 2. Use the existing video resource
-# 3. Remove the existing video first if you want to re-add it
-# """)
-# return existing_resource["_id"]
-
-# try:
-# # Insert new resource
-# result = resources_collection.insert_one(resource_data)
-# resource_id = result.inserted_id
-
-# # Update course document
-# update_result = courses_collection.update_one(
-# {
-# "course_id": course_id,
-# "sessions.session_id": session_id
-# },
-# {
-# "$push": {"sessions.$.pre_class.resources": resource_id}
-# }
-# )
-
-# if update_result.modified_count == 0:
-# st.error("â ī¸ Failed to update course with new resource.")
-# st.write("""
-# The video was processed but couldn't be added to the course.
-# This might be because:
-# 1. The course or session ID is invalid
-# 2. You don't have permission to modify this course
-# 3. There was a system error
-
-# Please try again or contact support if the issue persists.
-# """)
-# # Rollback resource insertion
-# resources_collection.delete_one({"_id": resource_id})
-# return None
-
-# # Create vector store for the transcript
-# # create_vector_store(transcript, resource_id)
-# # Create vector store for the transcript
-# vector_store_result = create_vector_store(transcript, resource_id)
-# if not vector_store_result:
-# st.error("â ī¸ Failed to create vector store for the transcript.")
-# # Rollback insertions
-# resources_collection.delete_one({"_id": resource_id})
-# return None
-
-# st.success("â
Video successfully added to your course!")
-# st.write(f"""
-# Added: "{video_title}"
-# You can now:
-# 1. Add more videos
-# 2. Preview the added video
-# 3. Continue building your course
-# """)
-# return resource_id
-
-# except Exception as e:
-# st.error("â ī¸ Error uploading video source.")
-# st.write(f"""
-# There was an error while saving the video:
-# {str(e)}
-
-# Please:
-# 1. Try again
-# 2. Choose a different video
-# 3. Contact support if the issue persists
-# """)
-# return None
-
-# def upload_preclass_materials(session_id, course_id):
-# """Upload pre-class materials and manage external resources for a session"""
-# st.subheader("Pre-class Materials Management")
-
-# # Create tabs for different functionalities
-# upload_tab, videos_tab, external_tab= st.tabs(["Upload Materials","Upload Video Sources","External Resources"])
-
-# with upload_tab:
-# # Original file upload functionality
-# uploaded_file = st.file_uploader("Upload Material", type=['txt', 'pdf', 'docx'])
-# if uploaded_file is not None:
-# with st.spinner("Processing document..."):
-# file_name = uploaded_file.name
-# file_content = extract_text_from_file(uploaded_file)
-# if file_content:
-# material_type = st.selectbox("Select Material Type", ["pdf", "docx", "txt"])
-# if st.button("Upload Material"):
-# upload_resource(course_id, session_id, file_name, uploaded_file, material_type)
-# st.success("Material uploaded successfully!")
-# with videos_tab:
-# # Upload video sources
-# st.info("Upload video sources for this session.")
-# video_url = st.text_input("Enter a Youtube Video URL")
-# if st.button("Upload Video"):
-# with st.spinner("Processing video source..."):
-# video_resource_id = upload_video_source(course_id, session_id, video_url)
-# # if video_resource_id:
-# # st.success("Video source uploaded successfully!")
-
-# with external_tab:
-# # Fetch and display external resources
-# session_data = courses_collection.find_one(
-# {"course_id": course_id, "sessions.session_id": session_id},
-# {"sessions.$": 1}
-# )
-
-# if session_data and session_data.get('sessions'):
-# session = session_data['sessions'][0]
-# external = session.get('external_resources', {})
-
-# # Display web articles
-# if 'readings' in external:
-# st.subheader("Web Articles and Videos")
-# for reading in external['readings']:
-# col1, col2 = st.columns([3, 1])
-# with col1:
-# st.markdown(f"**{reading['title']}**")
-# st.markdown(f"Type: {reading['type']} | Est. time: {reading['estimated_read_time']}")
-# st.markdown(f"URL: [{reading['url']}]({reading['url']})")
-# with col2:
-# if st.button("Extract Content", key=f"extract_{reading['url']}"):
-# with st.spinner("Extracting content..."):
-# content = extract_external_content(reading['url'], reading['type'])
-# if content:
-# resource_id = upload_external_resource(
-# course_id,
-# session_id,
-# reading['title'],
-# content,
-# reading['type'].lower(),
-# reading['url']
-# )
-# st.success("Content extracted and stored successfully!")
-
-# # Display books
-# if 'books' in external:
-# st.subheader("Recommended Books")
-# for book in external['books']:
-# st.markdown(f"""
-# **{book['title']}** by {book['author']}
-# - ISBN: {book['isbn']}
-# - Chapters: {book['chapters']}
-# """)
-
-# # Display additional resources
-# if 'additional_resources' in external:
-# st.subheader("Additional Resources")
-# for resource in external['additional_resources']:
-# st.markdown(f"""
-# **{resource['title']}** ({resource['type']})
-# - {resource['description']}
-# - URL: [{resource['url']}]({resource['url']})
-# """)
-
-# # Display pre-class materials
-# # Group resources by their types
-# grouped_resources = defaultdict(list)
-# materials = resources_collection.find({"session_id": session_id})
-# for material in materials:
-# grouped_resources[material['material_type']].append(material)
-
-# # Display grouped resources
-# for material_type, resources in grouped_resources.items():
-# st.markdown(f"##### {material_type.capitalize()} Resources")
-# for material in resources:
-# resource_info = f"- **{material['file_name']}** ({material['file_type']})"
-# if 'source_url' in material:
-# resource_info += f" - [URL]({material['source_url']})"
-# st.markdown(resource_info)
-
-# def extract_external_content(url, content_type):
-# """Extract content from external resources based on their type"""
-# try:
-# if content_type.lower() == 'video' and 'youtube.com' in url:
-# return extract_youtube_transcript(url)
-# else:
-# return extract_web_article(url)
-# except Exception as e:
-# st.error(f"Error extracting content: {str(e)}")
-# return None
-
-# def extract_youtube_transcript(url):
-# """
-# Extract transcript from YouTube videos with detailed error handling
-# """
-# try:
-# video_id = extract_youtube_id(url)
-# if not video_id:
-# return None
-
-# # Get transcript with retries
-# max_retries = 3
-# for attempt in range(max_retries):
-# try:
-# transcript = YouTubeTranscriptApi.get_transcript(video_id)
-# # Combine transcript text with proper spacing and punctuation
-# full_text = ''
-# for entry in transcript:
-# text = entry['text'].strip()
-# if text:
-# if not full_text.endswith(('.', '!', '?', '..."')):
-# full_text += '. '
-# full_text += text + ' '
-# return full_text.strip()
-# except Exception as e:
-# if attempt == max_retries - 1:
-# raise e
-# continue
-
-# except Exception as e:
-# error_message = str(e)
-# if "Video unavailable" in error_message:
-# st.error("â ī¸ This video is unavailable or private. Please check if:")
-# st.write("""
-# - The video is set to public or unlisted
-# - The video hasn't been deleted
-# - You have the correct URL
-# """)
-# elif "Subtitles are disabled" in error_message:
-# st.error("â ī¸ This video doesn't have subtitles/transcript available.")
-# st.write("""
-# Unfortunately, this video cannot be used because:
-# - It doesn't have closed captions or subtitles
-# - The creator hasn't enabled transcript generation
-
-# Please choose another video that has subtitles available.
-# You can check if a video has subtitles by:
-# 1. Playing the video on YouTube
-# 2. Clicking the 'CC' button in the video player
-# """)
-# else:
-# st.error(f"Could not extract YouTube transcript: {error_message}")
-# st.write("Please try again or choose a different video.")
-# return None
-
-# def extract_web_article(url):
-# """Extract text content from web articles"""
-# try:
-# headers = {
-# 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
-# }
-# response = requests.get(url, headers=headers)
-# response.raise_for_status()
-
-# soup = BeautifulSoup(response.text, 'html.parser')
-
-# # Remove unwanted tags
-# for tag in soup(['script', 'style', 'nav', 'footer', 'header']):
-# tag.decompose()
-
-# # Extract text from paragraphs
-# paragraphs = soup.find_all('p')
-# text_content = ' '.join([p.get_text().strip() for p in paragraphs])
-
-# return text_content
-# except Exception as e:
-# st.error(f"Could not extract web article content: {str(e)}")
-# return None
-
-# def upload_external_resource(course_id, session_id, title, content, content_type, source_url):
-# """Upload extracted external resource content to the database"""
-# resource_data = {
-# "_id": ObjectId(),
-# "course_id": course_id,
-# "session_id": session_id,
-# "file_name": f"{title} ({content_type})",
-# "file_type": "external",
-# "text_content": content,
-# "material_type": content_type,
-# "source_url": source_url,
-# "uploaded_at": datetime.utcnow()
-# }
-
-# # Check if resource already exists
-# existing_resource = resources_collection.find_one({
-# "session_id": session_id,
-# "source_url": source_url
-# })
-
-# if existing_resource:
-# return existing_resource["_id"]
-
-# # Insert new resource
-# resources_collection.insert_one(resource_data)
-# resource_id = resource_data["_id"]
-
-# # Update course document
-# courses_collection.update_one(
-# {
-# "course_id": course_id,
-# "sessions.session_id": session_id
-# },
-# {
-# "$push": {"sessions.$.pre_class.resources": resource_id}
-# }
-# )
-
-# if content:
-# create_vector_store(content, resource_id)
-
-# return resource_id
-
-# def extract_youtube_id(url):
-# """
-# Extract YouTube video ID from various URL formats
-# """
-# if not url:
-# st.error("Please provide a YouTube URL.")
-# display_url_guidance()
-# return None
-
-# # Clean the URL
-# url = url.strip()
-
-# # Basic URL validation
-# if not ('youtube.com' in url or 'youtu.be' in url):
-# st.error("This doesn't appear to be a YouTube URL.")
-# st.write(get_supported_url_formats())
-# return None
-
-# # Try to extract using regex patterns
-# patterns = [
-# r'(?:youtube\.com\/watch\?v=|youtu\.be\/|youtube\.com\/embed\/|youtube\.com\/v\/|youtube\.com\/e\/|youtube\.com\/shorts\/)([^&\n?#]+)',
-# r'(?:youtube\.com\/(?:[^\/]+\/.+\/|(?:v|e(?:mbed)?)\/|.*[?&]v=)|youtu\.be\/)([^"&?\/\s]{11})'
-# ]
-
-# for pattern in patterns:
-# match = re.search(pattern, url)
-# if match:
-# video_id = match.group(1)
-# if len(video_id) != 11: # YouTube IDs are always 11 characters
-# st.error("Invalid YouTube video ID length. Please check your URL.")
-# display_url_guidance()
-# return None
-# return video_id
-
-# # If regex fails, try parsing URL components
-# try:
-# parsed_url = urlparse(url)
-# if 'youtube.com' in parsed_url.netloc:
-# query_params = parse_qs(parsed_url.query)
-# if 'v' in query_params:
-# return query_params['v'][0]
-# elif 'youtu.be' in parsed_url.netloc:
-# return parsed_url.path.lstrip('/')
-# except Exception:
-# pass
-
-# # If all extraction methods fail
-# st.error("Could not extract video ID from the provided URL.")
-# st.write(get_supported_url_formats())
-# return None
-
-# def display_live_presentation(session, user_type, course_id):
-# st.markdown("### Live Presentation")
-
-# # Get active presentation
-# session_data = courses_collection.find_one(
-# {"course_id": course_id, "sessions.session_id": session['session_id']},
-# {"sessions.$": 1}
-# )
-# active_presentation = session_data["sessions"][0].get("in_class", {}).get("active_presentation")
-
-# # Faculty Interface
-# if user_type == 'faculty':
-# if not active_presentation:
-# st.markdown("""
-#
-# """, unsafe_allow_html=True)
-
-# # URL input section
-# with st.container():
-# ppt_url = st.text_input("đ Enter Google Slides Presentation URL",
-# placeholder="https://docs.google.com/presentation/...")
-
-# if ppt_url:
-# if st.button("âļī¸ Activate Presentation",
-# use_container_width=True):
-# courses_collection.update_one(
-# {"course_id": course_id, "sessions.session_id": session['session_id']},
-# {"$set": {"sessions.$.in_class.active_presentation": ppt_url}}
-# )
-# st.success("â
Presentation activated successfully!")
-# st.rerun()
-# else:
-# # Display active presentation
-# st.markdown("#### đ¯ Active Presentation")
-# components.iframe(active_presentation, height=800)
-
-# # Deactivate button
-# st.markdown("", unsafe_allow_html=True)
-# if st.button("âšī¸ Deactivate Presentation",
-# type="secondary",
-# use_container_width=True):
-# courses_collection.update_one(
-# {"course_id": course_id, "sessions.session_id": session['session_id']},
-# {"$unset": {"sessions.$.in_class.active_presentation": ""}}
-# )
-# st.success("â
Presentation deactivated successfully!")
-# st.rerun()
-
-# # Student Interface
-# else:
-# if active_presentation:
-# st.markdown("#### đ¯ Active Presentation")
-# components.iframe(active_presentation, height=800)
-# else:
-# st.info("đ No active presentations at this time.")
-
-# def display_in_class_content(session, user_type, course_id, user_id):
-# # """Display in-class activities and interactions"""
-# """Display in-class activities and interactions"""
-# st.header("In-class Activities")
-
-# # Initialize Live Polls feature
-# live_polls = LivePollFeature()
-
-# # Display appropriate interface based on user role
-# if user_type == 'faculty':
-# live_polls.display_faculty_interface(session['session_id'])
-# else:
-# live_polls.display_student_interface(session['session_id'])
-
-# display_live_chat_interface(session, user_id, course_id=course_id)
-
-# # Live Presentation Feature
-# display_live_presentation(session, user_type, course_id)
-
-# def generate_random_assignment_id():
-# """Generate a random integer ID for assignments"""
-# return random.randint(100000, 999999)
-
-# def display_post_class_content(session, student_id, course_id):
-# """Display post-class assignments and submissions"""
-# st.header("Post-class Work")
-
-# if st.session_state.user_type == 'faculty':
-# faculty_id = st.session_state.user_id
-# st.subheader("Create Subjective Test")
-
-# # Create a form for test generation
-# with st.form("create_subjective_test_form"):
-# test_title = st.text_input("Test Title")
-# num_subjective_questions = st.number_input("Number of Subjective Questions", min_value=1, value=5)
-# generation_method = st.radio(
-# "Question Generation Method",
-# ["Generate from Pre-class Materials", "Generate Random Questions"]
-# )
-# generate_test_btn = st.form_submit_button("Generate Test")
-
-# # Handle test generation outside the form
-# if generate_test_btn:
-# if not test_title:
-# st.error("Please enter a test title.")
-# return
-
-# context = ""
-# if generation_method == "Generate from Pre-class Materials":
-# materials = resources_collection.find({"session_id": session['session_id']})
-# for material in materials:
-# if 'text_content' in material:
-# context += material['text_content'] + "\n"
-
-# with st.spinner("Generating questions and synoptic..."):
-# try:
-# # Store generated content in session state to persist between rerenders
-# questions = generate_questions(
-# context if context else None,
-# num_subjective_questions,
-# session['title'],
-# session.get('description', '')
-# )
-
-# if questions:
-# synoptic = generate_synoptic(
-# questions,
-# context if context else None,
-# session['title'],
-# num_subjective_questions
-# )
-
-# if synoptic:
-# # Store in session state
-# st.session_state.generated_questions = questions
-# st.session_state.generated_synoptic = synoptic
-# st.session_state.test_title = test_title
-
-# # Display preview
-# st.subheader("Preview Subjective Questions and Synoptic")
-# for i, (q, s) in enumerate(zip(questions, synoptic), 1):
-# st.markdown(f"**Question {i}:** {q['question']}")
-# with st.expander(f"View Synoptic {i}"):
-# st.markdown(s)
-
-# # Save button outside the form
-# if st.button("Save Test"):
-# test_id = save_subjective_test(
-# course_id,
-# session['session_id'],
-# test_title,
-# questions
-# )
-# if test_id:
-# st.success("Subjective test saved successfully!")
-# else:
-# st.error("Error saving subjective test.")
-# else:
-# st.error("Error generating synoptic answers. Please try again.")
-# else:
-# st.error("Error generating questions. Please try again.")
-# except Exception as e:
-# st.error(f"An error occurred: {str(e)}")
-
-# # Display previously generated test if it exists in session state
-# elif hasattr(st.session_state, 'generated_questions') and hasattr(st.session_state, 'generated_synoptic'):
-# st.subheader("Preview Subjective Questions and Synoptic")
-# for i, (q, s) in enumerate(zip(st.session_state.generated_questions, st.session_state.generated_synoptic), 1):
-# st.markdown(f"**Question {i}:** {q['question']}")
-# with st.expander(f"View Synoptic {i}"):
-# st.markdown(s)
-
-# if st.button("Save Test"):
-# test_id = save_subjective_test(
-# course_id,
-# session['session_id'],
-# st.session_state.test_title,
-# st.session_state.generated_questions,
-# )
-# if test_id:
-# st.success("Subjective test saved successfully!")
-# # Clear session state after successful save
-# del st.session_state.generated_questions
-# del st.session_state.generated_synoptic
-# del st.session_state.test_title
-# else:
-# st.error("Error saving subjective test.")
-
-# # st.subheader("Create quiz section UI for faculty")
-# st.subheader("Create Quiz")
-
-# questions = []
-# with st.form("create_quiz_form"):
-# quiz_title = st.text_input("Quiz Title")
-# num_questions = st.number_input("Number of Questions", min_value=1, max_value=20, value=5)
-
-# # Option to choose quiz generation method
-# generation_method = st.radio(
-# "Question Generation Method",
-# ["Generate from Pre-class Materials", "Generate Random Questions"]
-# )
-
-# submit_quiz = st.form_submit_button("Generate Quiz")
-# if submit_quiz:
-# if generation_method == "Generate from Pre-class Materials":
-# # Get pre-class materials from resources_collection
-# materials = resources_collection.find({"session_id": session['session_id']})
-# context = ""
-# for material in materials:
-# if 'text_content' in material:
-# context += material['text_content'] + "\n"
-
-# if not context:
-# st.error("No pre-class materials found for this session.")
-# return
-
-# # Generate MCQs from context
-# questions = generate_mcqs(context, num_questions, session['title'], session.get('description', ''))
-# else:
-# # Generate random MCQs based on session title and description
-# questions = generate_mcqs(None, num_questions, session['title'], session.get('description', ''))
-# print(questions)
-
-# if questions:
-# # Preview generated questions
-# st.subheader("Preview Generated Questions")
-# for i, q in enumerate(questions, 1):
-# st.markdown(f"**Question {i}:** {q['question']}")
-# for opt in q['options']:
-# st.markdown(f"- {opt}")
-# st.markdown(f"*Correct Answer: {q['correct_option']}*")
-
-# # Save quiz
-# quiz_id = save_quiz(course_id, session['session_id'], quiz_title, questions, faculty_id)
-# if quiz_id:
-# st.success("Quiz saved successfully!")
-# else:
-# st.error("Error saving quiz.")
-
-# st.subheader("Add Assignment")
-# with st.form("add_assignment_form"):
-# title = st.text_input("Assignment Title")
-# description = st.text_area("Assignment Description")
-# due_date = st.date_input("Due Date")
-# submit = st.form_submit_button("Add Assignment")
-
-# if submit:
-# if not title or not description:
-# st.error("Please fill in all required fields.")
-# return
-
-# due_date = datetime.combine(due_date, datetime.min.time())
-# assignment = {
-# "_id": ObjectId(),
-# "title": title,
-# "description": description,
-# "due_date": due_date,
-# "course_id": course_id,
-# "session_id": session['session_id'],
-# "faculty_id": faculty_id,
-# "created_at": datetime.utcnow(),
-# "status": "active",
-# "submissions": []
-# }
-
-# assignments_collection.insert_one(assignment)
-# st.success("Assignment added successfully!")
-
-# st.subheader("Existing Assignments")
-# assignments = assignments_collection.find({
-# "session_id": session['session_id'],
-# "course_id": course_id
-# })
-
-# for assignment in assignments:
-# with st.expander(f"đ {assignment['title']}", expanded=True):
-# st.markdown(f"**Due Date:** {assignment['due_date'].strftime('%Y-%m-%d')}")
-# st.markdown(f"**Description:** {assignment['description']}")
-
-# total_submissions = len(assignment.get('submissions', []))
-# total_students = students_collection.count_documents({
-# "enrolled_courses": {
-# "$elemMatch": {"course_id": course_id}
-# }
-# })
-
-# col1, col2, col3 = st.columns(3)
-# with col1:
-# st.metric("Total Submissions", total_submissions)
-# with col2:
-# submission_rate = (total_submissions / total_students * 100) if total_students > 0 else 0
-# st.metric("Submission Rate", f"{submission_rate:.1f}%")
-# with col3:
-# st.metric("Pending Submissions", total_students - total_submissions)
-
-# # Display evaluation button and status
-# evaluation_status = st.empty()
-# eval_button = st.button("View/Generate Evaluations", key=f"eval_{assignment['_id']}")
-
-# if eval_button:
-# st.session_state.show_evaluations = True
-# st.session_state.current_assignment = assignment['_id']
-
-# # Show evaluation interface in a new container instead of an expander
-# evaluation_container = st.container()
-# with evaluation_container:
-# from assignment_evaluation import display_evaluation_to_faculty
-# display_evaluation_to_faculty(session['session_id'], student_id, course_id)
-
-# else: # Student view
-# assignments = assignments_collection.find({
-# "session_id": session['session_id'],
-# "course_id": course_id,
-# "status": "active"
-# })
-
-# for assignment in assignments:
-# with st.expander(f"đ {assignment['title']}", expanded=True):
-# st.markdown(f"**Due Date:** {assignment['due_date'].strftime('%Y-%m-%d')}")
-# st.markdown(f"**Description:** {assignment['description']}")
-
-# existing_submission = next(
-# (sub for sub in assignment.get('submissions', [])
-# if sub['student_id'] == str(student_id)),
-# None
-# )
-
-# if existing_submission:
-# st.success("Assignment submitted!")
-# st.markdown(f"**Submitted on:** {existing_submission['submitted_at'].strftime('%Y-%m-%d %H:%M')}")
-
-# # Show evaluation status and feedback in the same container
-# evaluation = assignment_evaluation_collection.find_one({
-# "assignment_id": assignment['_id'],
-# "student_id": str(student_id)
-# })
-
-# if evaluation:
-# st.markdown("### Evaluation")
-# st.markdown(evaluation['evaluation'])
-# else:
-# st.info("Evaluation pending. Check back later.")
-# else:
-# uploaded_file = st.file_uploader(
-# "Upload your work",
-# type=['pdf', 'doc', 'docx', 'txt', 'py', 'ipynb', 'ppt', 'pptx'],
-# key=f"upload_{assignment['_id']}"
-# )
-
-# if uploaded_file is not None:
-# if st.button("Submit Assignment", key=f"submit_{assignment['_id']}"):
-# text_content = extract_text_from_file(uploaded_file)
-
-# submission = {
-# "student_id": str(student_id),
-# "file_name": uploaded_file.name,
-# "file_type": uploaded_file.type,
-# "file_content": uploaded_file.getvalue(),
-# "text_content": text_content,
-# "submitted_at": datetime.utcnow()
-# }
-
-# assignments_collection.update_one(
-# {"_id": assignment['_id']},
-# {"$push": {"submissions": submission}}
-# )
-
-# st.success("Assignment submitted successfully!")
-# st.rerun()
-
-# def display_inclass_analytics(session, course_id):
-# """Display in-class analytics for faculty"""
-# st.subheader("In-class Analytics")
-
-# # Get all enrolled students count for participation rate calculation
-# total_students = students_collection.count_documents({
-# "enrolled_courses": {
-# "$elemMatch": {"course_id": course_id}
-# }
-# })
-
-# if total_students == 0:
-# st.warning("No students enrolled in this course.")
-# return
-
-# # Get all polls for this session
-# polls = polls_collection.find({
-# "session_id": session['session_id']
-# })
-
-# polls_list = list(polls)
-# if not polls_list:
-# st.warning("No polls have been conducted in this session yet.")
-# return
-
-# # Overall Poll Participation Metrics
-# st.markdown("### Overall Poll Participation")
-
-# # Calculate overall participation metrics
-# total_polls = len(polls_list)
-# participating_students = set()
-# poll_participation_data = []
-
-# for poll in polls_list:
-# respondents = set(poll.get('respondents', []))
-# participating_students.update(respondents)
-# poll_participation_data.append({
-# 'Poll Title': poll.get('question', 'Untitled Poll'),
-# 'Respondents': len(respondents),
-# 'Participation Rate': (len(respondents) / total_students * 100)
-# })
-
-# # Display summary metrics
-# col1, col2, col3 = st.columns(3)
-# with col1:
-# st.metric("Total Polls Conducted", total_polls)
-# with col2:
-# st.metric("Active Participants", len(participating_students))
-# with col3:
-# avg_participation = sum(p['Participation Rate'] for p in poll_participation_data) / total_polls
-# st.metric("Average Participation Rate", f"{avg_participation:.1f}%")
-
-# # Participation Trend Graph
-# # st.markdown("### Poll Participation Trends")
-# # participation_df = pd.DataFrame(poll_participation_data)
-
-# # # Create line chart for participation trends
-# # fig = px.line(participation_df,
-# # x='Poll Title',
-# # y='Participation Rate',
-# # title='Poll Participation Rates Over Time',
-# # markers=True)
-# # fig.update_layout(
-# # xaxis_title="Polls",
-# # yaxis_title="Participation Rate (%)",
-# # yaxis_range=[0, 100]
-# # )
-# # st.plotly_chart(fig)
-
-# # Individual Poll Results
-# st.markdown("### Individual Poll Results")
-
-# for poll in polls_list:
-# with st.expander(f"đ {poll.get('question', 'Untitled Poll')}"):
-# responses = poll.get('responses', {})
-# respondents = poll.get('respondents', [])
-
-# # Calculate metrics for this poll
-# response_count = len(respondents)
-# participation_rate = (response_count / total_students) * 100
-
-# # Display poll metrics
-# col1, col2 = st.columns(2)
-# with col1:
-# st.metric("Total Responses", response_count)
-# with col2:
-# st.metric("Participation Rate", f"{participation_rate:.1f}%")
-
-# if responses:
-# # Create DataFrame for responses
-# response_df = pd.DataFrame(list(responses.items()),
-# columns=['Option', 'Votes'])
-# response_df['Percentage'] = (response_df['Votes'] / response_df['Votes'].sum() * 100).round(1)
-
-# # Display response distribution
-# fig = px.bar(response_df,
-# x='Option',
-# y='Votes',
-# title='Response Distribution',
-# text='Percentage')
-# fig.update_traces(texttemplate='%{text:.1f}%', textposition='outside')
-# st.plotly_chart(fig)
-
-# # Display detailed response table
-# st.markdown("#### Detailed Response Breakdown")
-# response_df['Percentage'] = response_df['Percentage'].apply(lambda x: f"{x}%")
-# st.table(response_df)
-
-# # Non-participating students
-# non_participants = list(students_collection.find({
-# "courses": course_id,
-# "_id": {"$nin": respondents}
-# }))
-
-# if non_participants:
-# st.markdown("#### Students Who Haven't Participated")
-# non_participant_data = [{
-# 'Name': student.get('name', 'Unknown'),
-# 'SID': student.get('sid', 'Unknown')
-# } for student in non_participants]
-# st.table(pd.DataFrame(non_participant_data))
-
-# # Export functionality for participation data
-# st.markdown("### Export Analytics")
-
-# if st.button("Download Poll Analytics Report"):
-# # Create a more detailed DataFrame for export
-# export_data = []
-# for poll in polls_list:
-# poll_data = {
-# 'Poll Question': poll.get('question', 'Untitled'),
-# 'Total Responses': len(poll.get('respondents', [])),
-# 'Participation Rate': f"{(len(poll.get('respondents', [])) / total_students * 100):.1f}%"
-# }
-# # Add response distribution
-# for option, votes in poll.get('responses', {}).items():
-# poll_data[f"Option: {option}"] = votes
-# export_data.append(poll_data)
-
-# export_df = pd.DataFrame(export_data)
-# csv = export_df.to_csv(index=False).encode('utf-8')
-# st.download_button(
-# "đĨ Download Complete Report",
-# csv,
-# "poll_analytics.csv",
-# "text/csv",
-# key='download-csv'
-# )
-
-# def display_postclass_analytics(session, course_id):
-# """Display post-class analytics for faculty"""
-# st.subheader("Post-class Analytics")
-
-# # Get all assignments for this session
-# session_data = courses_collection2.find_one(
-# {"sessions.session_id": session['session_id']},
-# {"sessions.$": 1}
-# )
-
-# if not session_data or 'sessions' not in session_data:
-# st.warning("No assignments found for this session.")
-# return
-
-# assignments = session_data['sessions'][0].get('post_class', {}).get('assignments', [])
-
-# for assignment in assignments:
-# with st.expander(f"đ Assignment: {assignment.get('title', 'Untitled')}"):
-# # Get submission analytics
-# submissions = assignment.get('submissions', [])
-# # total_students = students_collection.count_documents({"courses": session['course_id']})
-# total_students = students_collection.count_documents({
-# "enrolled_courses": {
-# "$elemMatch": {"course_id": course_id}
-# }
-# })
-# # Calculate submission metrics
-# submitted_count = len(submissions)
-# submission_rate = (submitted_count / total_students) * 100 if total_students > 0 else 0
-
-# # Display metrics
-# col1, col2, col3 = st.columns(3)
-# with col1:
-# st.metric("Submissions Received", submitted_count)
-# with col2:
-# st.metric("Submission Rate", f"{submission_rate:.1f}%")
-# with col3:
-# st.metric("Pending Submissions", total_students - submitted_count)
-
-# # Display submission timeline
-# if submissions:
-# submission_dates = [sub.get('submitted_at') for sub in submissions if 'submitted_at' in sub]
-# if submission_dates:
-# df = pd.DataFrame(submission_dates, columns=['Submission Date'])
-# fig = px.histogram(df, x='Submission Date',
-# title='Submission Timeline',
-# labels={'Submission Date': 'Date', 'count': 'Number of Submissions'})
-# st.plotly_chart(fig)
-
-# # Display submission status breakdown
-# status_counts = {
-# 'pending': total_students - submitted_count,
-# 'submitted': submitted_count,
-# 'late': len([sub for sub in submissions if sub.get('is_late', False)])
-# }
-
-# st.markdown("### Submission Status Breakdown")
-# status_df = pd.DataFrame(list(status_counts.items()),
-# columns=['Status', 'Count'])
-# st.bar_chart(status_df.set_index('Status'))
-
-# # List of students who haven't submitted
-# if status_counts['pending'] > 0:
-# st.markdown("### Students with Pending Submissions")
-# # submitted_ids = [sub.get('student_id') for sub in submissions]
-# submitted_ids = [ObjectId(sub.get('student_id')) for sub in submissions]
-# print(submitted_ids)
-# pending_students = students_collection.find({
-# "enrolled_courses.course_id": course_id,
-# "_id": {"$nin": submitted_ids}
-# })
-# print(pending_students)
-# for student in pending_students:
-# st.markdown(f"- {student.get('full_name', 'Unknown Student')} (SID: {student.get('SID', 'Unknown SID')})")
-
-# def get_chat_history(user_id, session_id):
-# query = {
-# "user_id": ObjectId(user_id),
-# "session_id": session_id,
-# "timestamp": {"$lte": datetime.utcnow()}
-# }
-# result = chat_history_collection.find(query)
-# return list(result)
-
-# def get_response_from_llm(raw_data):
-# messages = [
-# {
-# "role": "system",
-# "content": "You are an AI that refines raw analytics data into actionable insights for faculty reports."
-# },
-# {
-# "role": "user",
-# "content": f"""
-# Based on the following analytics data, refine and summarize the insights:
-
-# Raw Data:
-# {raw_data}
-
-# Instructions:
-# 1. Group similar topics together under appropriate categories.
-# 2. Remove irrelevant or repetitive entries.
-# 3. Summarize the findings into actionable insights.
-# 4. Provide concise recommendations for improvement based on the findings.
-
-# Output:
-# Provide a structured response with the following format:
-# {{
-# "Low Engagement Topics": ["List of Topics"],
-# "Frustration Areas": ["List of areas"],
-# "Recommendations": ["Actionable recommendations"],
-# }}
-# """
-# }
-# ]
-# try:
-# client = OpenAI(api_key=OPENAI_API_KEY)
-# response = client.chat.completions.create(
-# model="gpt-4o-mini",
-# messages=messages,
-# temperature=0.2
-# )
-# content = response.choices[0].message.content
-# return json.loads(content)
-
-# except Exception as e:
-# st.error(f"Error generating response: {str(e)}")
-# return None
-
-# import typing_extensions as typing
-# from typing import Union, List, Dict
-
-# # class Topics(typing.TypedDict):
-# # overarching_theme: List[Dict[str, Union[str, List[Dict[str, Union[str, List[str]]]]]]]
-# # indirect_topics: List[Dict[str, str]]
-
-# def extract_topics_from_materials(session):
-# """Extract topics from pre-class materials"""
-# materials = resources_collection.find({"session_id": session['session_id']})
-# texts = ""
-# if materials:
-# for material in materials:
-# if 'text_content' in material:
-# text = material['text_content']
-# texts += text + "\n"
-# else:
-# st.warning("No text content found in the material.")
-# return
-# else:
-# st.error("No pre-class materials found for this session.")
-# return
-
-# if texts:
-# context_prompt = f"""
-# Task: Extract Comprehensive Topics in a List Format
-# You are tasked with analyzing the provided text content and extracting a detailed, flat list of topics.
-
-# Instructions:
-# Identify All Topics: Extract a comprehensive list of all topics, subtopics, and indirect topics present in the provided text content. This list should include:
-
-# Overarching themes
-# Main topics
-# Subtopics and their sub-subtopics
-# Indirectly related topics
-# Flat List Format: Provide a flat list where each item is a topic. Ensure topics at all levels (overarching, main, sub, sub-sub, indirect) are represented as individual entries in the list.
-
-# Be Exhaustive: Ensure the response captures every topic, subtopic, and indirectly related concept comprehensively.
-
-# Output Requirements:
-# Use this structure:
-# {{
-# "topics": [
-# "Topic 1",
-# "Topic 2",
-# "Topic 3",
-# ...
-# ]
-# }}
-# Do Not Include: Do not include backticks, hierarchical structures, or the word 'json' in your response.
-
-# Content to Analyze:
-# {texts}
-# """
-# try:
-# # response = model.generate_content(context_prompt, generation_config=genai.GenerationConfig(response_mime_type="application/json", response_schema=list[Topics]))
-# response = model.generate_content(context_prompt, generation_config=genai.GenerationConfig(temperature=0.3))
-# if not response or not response.text:
-# st.error("Error extracting topics from materials.")
-# return
-
-# topics = response.text
-# return topics
-# except Exception as e:
-# st.error(f"Error extracting topics: {str(e)}")
-# return None
-# else:
-# st.error("No text content found in the pre-class materials.")
-# return None
-
-# def convert_json_to_dict(json_str):
-# try:
-# return json.loads(json_str)
-# except Exception as e:
-# st.error(f"Error converting JSON to dictionary. {str(e)}")
-# return None
-
-# # Load topics from a JSON file
-# # topics = []
-# # with open(r'topics.json', 'r') as file:
-# # topics = json.load(file)
-
-# def get_preclass_analytics(session, course_id):
-# # Earlier Code:
-# # """Get all user_ids from chat_history collection where session_id matches"""
-# # user_ids = chat_history_collection.distinct("user_id", {"session_id": session['session_id']})
-# # print(user_ids)
-# # session_id = session['session_id']
-
-# # all_chat_histories = []
-
-# # for user_id in user_ids:
-# # result = get_chat_history(user_id, session_id)
-# # if result:
-# # for record in result:
-# # chat_history = {
-# # "user_id": record["user_id"],
-# # "session_id": record["session_id"],
-# # "messages": record["messages"]
-# # }
-# # all_chat_histories.append(chat_history)
-# # else:
-# # st.warning("No chat history found for this session.")
-
-
-# # # Pass the pre-class materials content to the analytics engine
-# # topics = extract_topics_from_materials(session)
-# # # dict_topics = convert_json_to_dict(topics)
-# # print(topics)
-
-# # # # Use the 1st analytics engine
-# # # analytics_engine = NovaScholarAnalytics(all_topics_list=topics)
-# # # # extracted_topics = analytics_engine._extract_topics(None, topics)
-# # # # print(extracted_topics)
-
-# # # results = analytics_engine.process_chat_history(all_chat_histories)
-# # # faculty_report = analytics_engine.generate_faculty_report(results)
-# # # print(faculty_report)
-# # # # Pass this Faculty Report to an LLM model for refinements and clarity
-# # # refined_report = get_response_from_llm(faculty_report)
-# # # return refined_report
-
-# # # Use the 2nd analytice engine (using LLM):
-# fallback_analytics = {
-# "topic_insights": [],
-# "student_insights": [],
-# "recommended_actions": [
-# {
-# "action": "Review analytics generation process",
-# "priority": "high",
-# "target_group": "system_administrators",
-# "reasoning": "Analytics generation failed",
-# "expected_impact": "Restore analytics functionality"
-# }
-# ],
-# "course_health": {
-# "overall_engagement": 0,
-# "critical_topics": [],
-# "class_distribution": {
-# "high_performers": 0,
-# "average_performers": 0,
-# "at_risk": 0
-# }
-# },
-# "intervention_metrics": {
-# "immediate_attention_needed": [],
-# "monitoring_required": []
-# }
-# }
-# # analytics_generator = NovaScholarAnalytics()
-# # analytics2 = analytics_generator.generate_analytics(all_chat_histories, topics)
-# # # enriched_analytics = analytics_generator._enrich_analytics(analytics2)
-# # print("Analytics is: ", analytics2)
-
-# # if analytics2 == fallback_analytics:
-# # return None
-# # else:
-# # return analytics2
-# # # print(json.dumps(analytics, indent=2))
-
-
-# # New Code:
-# # Debug print 1: Check session
-# print("Starting get_preclass_analytics with session:", session['session_id'])
-
-# user_ids = chat_history_collection.distinct("user_id", {"session_id": session['session_id']})
-# # Debug print 2: Check user_ids
-# print("Found user_ids:", user_ids)
-
-# all_chat_histories = []
-# for user_id in user_ids:
-# result = get_chat_history(user_id, session['session_id'])
-# # Debug print 3: Check each chat history result
-# print(f"Chat history for user {user_id}:", "Found" if result else "Not found")
-# if result:
-# for record in result:
-# chat_history = {
-# "user_id": record["user_id"],
-# "session_id": record["session_id"],
-# "messages": record["messages"]
-# }
-# all_chat_histories.append(chat_history)
-
-# # Debug print 4: Check chat histories
-# print("Total chat histories collected:", len(all_chat_histories))
-
-# # Extract topics with debug print
-# topics = extract_topics_from_materials(session)
-# # Debug print 5: Check topics
-# print("Extracted topics:", topics)
-
-# if not topics:
-# print("Topics extraction failed") # Debug print 6
-# return None
-
-# analytics_generator = NovaScholarAnalytics()
-# analytics2 = analytics_generator.generate_analytics(all_chat_histories, topics)
-# # Debug print 7: Check analytics
-# print("Generated analytics:", analytics2)
-
-# if analytics2 == fallback_analytics:
-# print("Fallback analytics returned") # Debug print 8
-# return None
-# else:
-# try:
-# courses_collection.update_one(
-# {"course_id": course_id, "sessions.session_id": session['session_id']},
-# {"$set": {"sessions.$.pre_class.analytics": analytics2}}
-# )
-# except Exception as e:
-# print("Error storing analytics:", str(e))
-# return analytics2
-
-
-# # Load Analytics from a JSON file
-# # analytics = []
-# # with open(r'new_analytics2.json', 'r') as file:
-# # analytics = json.load(file)
-
-# def display_preclass_analytics2(session, course_id):
-# # Earlier Code:
-# # Initialize or get analytics data from session state
-# # if 'analytics_data' not in st.session_state:
-# # st.session_state.analytics_data = get_preclass_analytics(session)
-
-# # analytics = st.session_state.analytics_data
-
-# # print(analytics)
-
-
-# # New Code:
-# # Initialize or get analytics data from session state
-# if 'analytics_data' not in st.session_state:
-# # Add debug prints
-# analytics_data = get_preclass_analytics(session, course_id)
-# if analytics_data is None:
-# st.info("Fetching new analytics data...")
-# if analytics_data is None:
-# st.error("Failed to generate analytics. Please check the following:")
-# st.write("1. Ensure pre-class materials contain text content")
-# st.write("2. Verify chat history exists for this session")
-# st.write("3. Check if topic extraction was successful")
-# return
-# st.session_state.analytics_data = analytics_data
-
-# analytics = st.session_state.analytics_data
-
-# # Validate analytics data structure
-# if not isinstance(analytics, dict):
-# st.error(f"Invalid analytics data type: {type(analytics)}")
-# return
-
-# required_keys = ["topic_wise_insights", "ai_recommended_actions", "student_analytics"]
-# missing_keys = [key for key in required_keys if key not in analytics]
-# if missing_keys:
-# st.error(f"Missing required keys in analytics data: {missing_keys}")
-# return
-
-# # Initialize topic indices only if we have valid data
-# if 'topic_indices' not in st.session_state:
-# try:
-# st.session_state.topic_indices = list(range(len(analytics["topic_wise_insights"])))
-# except Exception as e:
-# st.error(f"Error creating topic indices: {str(e)}")
-# st.write("Analytics data structure:", analytics)
-# return
-
-# # Enhanced CSS for better styling and interactivity
-# st.markdown("""
-#
-# """, unsafe_allow_html=True)
-
-# # Topic-wise Analytics Section
-# st.markdown('Topic-wise Analytics
', unsafe_allow_html=True)
-
-# # Initialize session state for topic expansion
-# if 'expanded_topic' not in st.session_state:
-# st.session_state.expanded_topic = None
-
-# # Store topic indices in session state if not already done
-# if 'topic_indices' not in st.session_state:
-# st.session_state.topic_indices = list(range(len(analytics["topic_wise_insights"])))
-
-# if st.session_state.topic_indices:
-# st.markdown('', unsafe_allow_html=True)
-# for idx in st.session_state.topic_indices:
-# topic = analytics["topic_wise_insights"][idx]
-# topic_id = f"topic_{idx}"
-
-# # Create clickable header
-# col1, col2 = st.columns([3, 1])
-# with col1:
-# if st.button(
-# topic["topic"],
-# key=f"topic_button_{idx}",
-# use_container_width=True,
-# type="secondary"
-# ):
-# st.session_state.expanded_topic = topic_id if st.session_state.expanded_topic != topic_id else None
-
-# with col2:
-# st.markdown(f"""
-#
-# {topic["struggling_percentage"]*100:.1f}% Struggling
-#
-# """, unsafe_allow_html=True)
-
-# # Show content if topic is expanded
-# if st.session_state.expanded_topic == topic_id:
-# st.markdown(f"""
-#
-#
Key Issues
-#
-# {"".join([f"- {issue}
" for issue in topic["key_issues"]])}
-#
-#
Key Misconceptions
-#
-# {"".join([f"- {misc}
" for misc in topic["key_misconceptions"]])}
-#
-#
-# """, unsafe_allow_html=True)
-# st.markdown('
AI-Powered Recommendations
', unsafe_allow_html=True)
-# st.markdown('', unsafe_allow_html=True)
-# for idx, rec in enumerate(analytics["ai_recommended_actions"]):
-# st.markdown(f"""
-#
-#
-# Recommendation {idx + 1}
-# {rec["priority"]}
-#
-#
{rec["action"]}
-#
Reason: {rec["reasoning"]}
-#
Expected Outcome: {rec["expected_outcome"]}
-#
-# """, unsafe_allow_html=True)
-# st.markdown('
Student Analytics
', unsafe_allow_html=True)
-
-# # Filters
-# with st.container():
-# # st.markdown('', unsafe_allow_html=True)
-# col1, col2, col3 = st.columns(3)
-# with col1:
-# concept_understanding = st.selectbox(
-# "Filter by Understanding",
-# ["All", "Strong", "Moderate", "Needs Improvement"]
-# )
-# with col2:
-# participation_level = st.selectbox(
-# "Filter by Participation",
-# ["All", "High (>80%)", "Medium (50-80%)", "Low (<50%)"]
-# )
-# with col3:
-# struggling_topic = st.selectbox(
-# "Filter by Struggling Topic",
-# ["All"] + list(set([topic for student in analytics["student_analytics"]
-# for topic in student["struggling_topics"]]))
-# )
-# # st.markdown('
', unsafe_allow_html=True)
-
-# # Display student metrics in a grid
-# st.markdown('', unsafe_allow_html=True)
-# for student in analytics["student_analytics"]:
-# # Apply filters
-# if (concept_understanding != "All" and
-# student["engagement_metrics"]["concept_understanding"].replace("_", " ").title() != concept_understanding):
-# continue
-
-# participation = student["engagement_metrics"]["participation_level"] * 100
-# if participation_level != "All":
-# if participation_level == "High (>80%)" and participation <= 80:
-# continue
-# elif participation_level == "Medium (50-80%)" and (participation < 50 or participation > 80):
-# continue
-# elif participation_level == "Low (<50%)" and participation >= 50:
-# continue
-
-# if struggling_topic != "All" and struggling_topic not in student["struggling_topics"]:
-# continue
-
-# st.markdown(f"""
-#
-#
-#
-#
-#
Participation
-#
{student["engagement_metrics"]["participation_level"]*100:.1f}%
-#
-#
-#
Understanding
-#
{student["engagement_metrics"]["concept_understanding"].replace('_', ' ').title()}
-#
-#
-#
Struggling Topics:
-#
{", ".join(student["struggling_topics"]) if student["struggling_topics"] else "None"}
-#
-#
-# {student["personalized_recommendation"]}
-#
-#
-#
-# """, unsafe_allow_html=True)
-# st.markdown('
Topic-wise Analytics
', unsafe_allow_html=True
- )
+ """, unsafe_allow_html=True)
+ # Topic-wise Analytics Section
+ st.markdown('Topic-wise Analytics
', unsafe_allow_html=True)
+
# Initialize session state for topic expansion
- if "expanded_topic" not in st.session_state:
+ if 'expanded_topic' not in st.session_state:
st.session_state.expanded_topic = None
-
+
# Store topic indices in session state if not already done
- if "topic_indices" not in st.session_state:
- st.session_state.topic_indices = list(
- range(len(analytics["topic_wise_insights"]))
- )
+ if 'topic_indices' not in st.session_state:
+ st.session_state.topic_indices = list(range(len(analytics["topic_wise_insights"])))
- if st.session_state.topic_indices:
+ if st.session_state.topic_indices:
st.markdown('', unsafe_allow_html=True)
for idx in st.session_state.topic_indices:
topic = analytics["topic_wise_insights"][idx]
topic_id = f"topic_{idx}"
-
+
# Create clickable header
col1, col2 = st.columns([3, 1])
with col1:
@@ -4927,28 +2156,20 @@ def display_preclass_analytics2(session, course_id):
topic["topic"],
key=f"topic_button_{idx}",
use_container_width=True,
- type="secondary",
+ type="secondary"
):
- st.session_state.expanded_topic = (
- topic_id
- if st.session_state.expanded_topic != topic_id
- else None
- )
-
+ st.session_state.expanded_topic = topic_id if st.session_state.expanded_topic != topic_id else None
+
with col2:
- st.markdown(
- f"""
+ st.markdown(f"""
{topic["struggling_percentage"]*100:.1f}% Struggling
- """,
- unsafe_allow_html=True,
- )
-
+ """, unsafe_allow_html=True)
+
# Show content if topic is expanded
if st.session_state.expanded_topic == topic_id:
- st.markdown(
- f"""
+ st.markdown(f"""
Key Issues
@@ -4959,20 +2180,14 @@ def display_preclass_analytics2(session, course_id):
{"".join([f"- {misc}
" for misc in topic["key_misconceptions"]])}
- """,
- unsafe_allow_html=True,
- )
- st.markdown("
AI-Powered Recommendations
',
- unsafe_allow_html=True,
- )
+ st.markdown('AI-Powered Recommendations
', unsafe_allow_html=True)
st.markdown('', unsafe_allow_html=True)
for idx, rec in enumerate(analytics["ai_recommended_actions"]):
- st.markdown(
- f"""
+ st.markdown(f"""
Recommendation {idx + 1}
@@ -4982,16 +2197,12 @@ def display_preclass_analytics2(session, course_id):
Reason: {rec["reasoning"]}
Expected Outcome: {rec["expected_outcome"]}
- """,
- unsafe_allow_html=True,
- )
- st.markdown("
Student Analytics
', unsafe_allow_html=True
- )
-
+ st.markdown('Student Analytics
', unsafe_allow_html=True)
+
# Filters
with st.container():
# st.markdown('', unsafe_allow_html=True)
@@ -4999,622 +2210,211 @@ def display_preclass_analytics2(session, course_id):
with col1:
concept_understanding = st.selectbox(
"Filter by Understanding",
- ["All", "Strong", "Moderate", "Needs Improvement"],
+ ["All", "Strong", "Moderate", "Needs Improvement"]
)
with col2:
participation_level = st.selectbox(
"Filter by Participation",
- ["All", "High (>80%)", "Medium (50-80%)", "Low (<50%)"],
+ ["All", "High (>80%)", "Medium (50-80%)", "Low (<50%)"]
)
with col3:
- struggling_topic = st.selectbox(
- "Filter by Struggling Topic",
- ["All"]
- + list(
- set(
- [
- topic
- for student in analytics["student_analytics"]
- for topic in student["struggling_topics"]
- ]
- )
- ),
- )
- # st.markdown('
', unsafe_allow_html=True)
-
- # Display student metrics in a grid
- st.markdown('', unsafe_allow_html=True)
- for student in analytics["student_analytics"]:
- # Apply filters
- if (
- concept_understanding != "All"
- and student["engagement_metrics"]["concept_understanding"]
- .replace("_", " ")
- .title()
- != concept_understanding
- ):
- continue
-
- participation = student["engagement_metrics"]["participation_level"] * 100
- if participation_level != "All":
- if participation_level == "High (>80%)" and participation <= 80:
- continue
- elif participation_level == "Medium (50-80%)" and (
- participation < 50 or participation > 80
- ):
- continue
- elif participation_level == "Low (<50%)" and participation >= 50:
- continue
-
- if (
- struggling_topic != "All"
- and struggling_topic not in student["struggling_topics"]
- ):
- continue
-
- st.markdown(
- f"""
-
-
-
-
-
Participation
-
{student["engagement_metrics"]["participation_level"]*100:.1f}%
-
-
-
Understanding
-
{student["engagement_metrics"]["concept_understanding"].replace('_', ' ').title()}
-
-
-
Struggling Topics:
-
{", ".join(student["struggling_topics"]) if student["struggling_topics"] else "None"}
-
-
- {student["personalized_recommendation"]}
-
-
-
- """,
- unsafe_allow_html=True,
- )
- st.markdown("
', unsafe_allow_html=True)
+ for student in analytics["student_analytics"]:
+ # Apply filters
+ if (concept_understanding != "All" and
+ student["engagement_metrics"]["concept_understanding"].replace("_", " ").title() != concept_understanding):
+ continue
+
+ participation = student["engagement_metrics"]["participation_level"] * 100
+ if participation_level != "All":
+ if participation_level == "High (>80%)" and participation <= 80:
+ continue
+ elif participation_level == "Medium (50-80%)" and (participation < 50 or participation > 80):
+ continue
+ elif participation_level == "Low (<50%)" and participation >= 50:
+ continue
+
+ if struggling_topic != "All" and struggling_topic not in student["struggling_topics"]:
+ continue
- if existing_resource:
- return existing_resource["_id"]
+ st.markdown(f"""
+
+
+
+
+
Participation
+
{student["engagement_metrics"]["participation_level"]*100:.1f}%
+
+
+
Understanding
+
{student["engagement_metrics"]["concept_understanding"].replace('_', ' ').title()}
+
+
+
Struggling Topics:
+
{", ".join(student["struggling_topics"]) if student["struggling_topics"] else "None"}
+
+
+ {student["personalized_recommendation"]}
+
+
+
+ """, unsafe_allow_html=True)
+ st.markdown('