Trace TL;DR

Don't have time to search through Trace? Get a quick of any Northeastern professor.

Try it out: trace.trentwiles.com

How it Works

• First, all Khoury classes are scraped from Trace
• Second, all comments made on each class are scraped, along with the name of the professor
• Third, all comments placed under their respective professor
• Fourth, Google Gemini summarizes the positive comments and the critical comments into five words

Installation

# Download dependencies
pip3 install -r requirements.txt

# Copy the Template .env
cp .env.example .env

# Add all required variables to .env
# cookies - the cookies list for trace, see "How to Get Your Trace Cookies"
# mongo - MongoDB connection string
# gemini- Your Google Gemini API Key

# Scrape the data and upload to mongo, takes a few hours
screen python3 run.py

# Run the web server in production mode on port 8000
gunicorn -w 4 -b 0.0.0.0:8000 wsgi:app

How to Get Your Trace Cookies

1. Log into Trace
2. Open dev tools/inspect element, and access the "Network" tab
3. Reload
4. Click the first request
5. Copy the value of "Cookie" under request headers, and paste that into the .env, under cookies