Skip to content

Telegram bot for decoding SCORM test data from iSpring. Upload JSON files to get readable test questions and answers.

Notifications You must be signed in to change notification settings

Radio125/SCORM-Test-iSpring-Decoder-Telegram-Bot

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SCORM (iSpring Learn) Test Decoder Telegram Bot

Build Status License

Table of Contents

Description

Click to expand

The SCORM Test Decoder Telegram Bot is designed to facilitate the extraction and decoding of SCORM (Sharable Content Object Reference Model) test questions and answers from JSON files. It supports SCORM versions 1.2 and 2004, making it a versatile tool for analyzing test data.

Features

Click to expand
  • Upload and Decode SCORM Files: Users can upload data-1.json files containing encrypted SCORM test questions. The bot decrypts the data and provides a readable output.
  • SCORM Test Parsing: The bot automatically identifies the type of each question and provides the correct answers.
  • Real-Time Responses: Provides immediate feedback by decoding and displaying test content upon file upload.
  • Comprehensive Overview: Displays all test questions and answers in a single window for quick review.

How to Use

Click to expand
  1. Start the Bot: Add the bot to your Telegram contacts and start a chat.
  2. Upload SCORM JSON File: Send the data-1.json file containing SCORM test data to the bot.
  3. Receive Decoded Content: The bot processes the file and returns the decoded questions and answers in a readable format.

Example Result

Click to expand

Question: Match the pairs as they should be:

  • Type: Matching
  • Answers:
    • 🔗 Pair 1 part 1 -> Pair 1 part 2
    • 🔗 Pair 2 part 1 -> Pair 2 part 2
    • 🔗 Pair 3 part 1 -> Pair 3 part 2

Question: How many blue hairs does Harry Potter have?

  • Type: Multiple Choice
  • Answers:
    • ❌ A hundred million
    • ❌ None
    • ✅ Twenty-five
    • ❌ Fifty-four

Question: Enter the answer to your question from me, how much does a kilo of raisins cost in raisins?

  • Type: Text Input

Question: What is the sequence of notes?

  • Type: Sequencing
  • Answers:
    • 1️⃣ Do
    • 2️⃣ Re
    • 3️⃣ Mi
    • 4️⃣ Fa
    • 5️⃣ So
    • 6️⃣ La
    • 7️⃣ Ti

Question: There are 2 correct answers, try to guess which options are correct:

  • Type: Multiple Response
  • Answers:
    • ✅ Second option
    • ✅ Option one
    • ❌ This is the third option
    • ❌ And here is the fourth option

Installation

Click to expand
  1. Clone the Repository: Copy command
    git clone https://github.com/Radio125/SCORM-Test-Decoder-Telegram-Bot.git
  2. Navigate to the Directory: Copy command
    cd SCORM-Test-Decoder-Telegram-Bot
  3. Create a Virtual Environment (optional but recommended): Copy command
    python -m venv venv
  4. Activate the Virtual Environment:
    • Windows: Copy command
      venv\Scripts\activate
    • macOS/Linux: Copy command
      source venv/bin/activate
  5. Install Dependencies: Copy command
    pip install -r requirements.txt
  6. Run the Bot: Copy command
    python bot.py

Configuration

Click to expand

Bot Token: Replace the placeholder token in the config.py file with your actual Telegram Bot API token.

SCORM Files: Ensure SCORM JSON files are properly formatted for the bot to decode and process them effectively.

Contributing

Click to expand

If you would like to contribute to the development of this bot, please feel free to fork the repository and submit pull requests. Any suggestions or bug reports are also welcome via GitHub issues.

Author

Click to expand

Created by Radio125. Feel free to download, distribute, and modify the code. A simple like is enough!

License

Click to expand

This project is licensed under the MIT License - see the LICENSE file for details.

About

Telegram bot for decoding SCORM test data from iSpring. Upload JSON files to get readable test questions and answers.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages