egrading-api 0.1.0

A Python wrapper for the ENSAM egrading platform

🎓 Egrading API Wrapper

A lightweight Python wrapper for the ENSAM Egrading platform. It handles authentication, exam listing, exam data retrieval, and even automatic MCQ solving using ChatGPT.

Built for students who like their grades served with an API. 🚀

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✨ Features

• ✅ Secure login using ENSAM credentials
• 📋 Fetch all available exams
• 📄 Get detailed data for a specific exam
• 🤖 Auto-solve MCQs using ChatGPT
• 🧠 Supports single & multiple correct answers
• 🍪 Automatic handling of access & refresh tokens
• ⚡ Fast, lightweight, and hackable

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📦 Installation

If you plan to publish it as a package:

pip install egrading-api

Or clone directly:

git clone https://github.com/NacreousDawn596/egrading-api.git
cd egrading-api
pip install -r requirements.txt

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🛠 Requirements

pip install requests urllib3 g4f

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🚀 Quick Start

from egrading_api import Student

# Initialize client
student = Student("[e-mail]", "password")

✅ This automatically:

• Logs you in
• Stores accessToken
• Stores refreshToken
• Prepares the ChatGPT client

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📋 List All Available Exams

exams = student.listExams()
print(exams)

🔍 Returns:

• Exam IDs
• Subjects
• Status
• Time windows
• Metadata used to launch exams

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📄 Get Full Exam Data

exam_id = "123456"
exam_data = student.getExamData(exam_id)

print(exam_data)

✅ Includes:

• Questions
• Choices
• Exam duration
• Scoring details
• Exam configuration

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🤖 Auto-Solve MCQs using ChatGPT

Once you extract the questions from the exam:

questions = exam_data["questions"]

answers = student.answerQuestionsUsingChatGPT(questions)
print(answers)

✅ Output Format

{
  "Q1": [2],
  "Q2": [1, 3],
  "Q3": [4]
}

• 🟢 Always returns lists
• 🟢 Supports multiple correct answers
• 🟢 Indexes are 1-based

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🧠 How the AI Solving Works

• Questions are split into smart chunks

• Each chunk is sent to ChatGPT

• The model is forced to return:

  • ✅ A raw Python dictionary
  • ✅ No markdown
  • ✅ No explanations

• Output is:

  • Parsed
  • Normalized
  • Merged into a clean final result

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🔐 Authentication System

The wrapper handles:

• ✅ Access token stored in headers
• ✅ Refresh token stored in cookies
• ✅ Automatic session reuse
• ✅ No manual token handling needed

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⚙️ Class Overview

Student(email, password, login=True)

Parameter	Type	Description
email	str	ENSAM email
password	str	Account password
login	bool	Auto-login on init

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listExams() → dict

Returns all exams available to the student.

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getExamData(exam_id: str) → dict

Returns full structured exam data.

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answerQuestionsUsingChatGPT(questions: list, model="gpt-4") → dict

Auto-answers all MCQs using AI.

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⚠️ Security Notes

• ❗ This project disables SSL verification (verify=False)
• ❗ Credentials are sent in plain requests
• ✅ Use only for educational & personal testing
• ✅ Never expose your password in public repos

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🧪 Example Full Workflow

student = Student("[e-mail]", "password")

exams = student.listExams()
first_exam_id = exams[0]["id"]

exam_data = student.getExamData(first_exam_id)

answers = student.answerQuestionsUsingChatGPT(exam_data["questions"])

print(answers)

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🛑 Disclaimer

This project is:

• ❌ Not affiliated with ENSAM
• ❌ Not officially supported
• ✅ Only for educational & research purposes

Use responsibly. Don’t speedrun your academic career into chaos 💀

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❤️ Author

Made with caffeine, insomnia, and bad life choices by Kamal ☕ If this saved you during exam week == you owe me monster hhhhhhhh.

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