Kendriya Vidyalay TC Data

This script searches all the tc numbers for which the TC data is yet to be upload on the KVS website and stores it in a file for further use.

There are two scripts:

1. Node JS script
2. Python script

You can use any script, it's all upto you.

Requirements

Prerequisites

You should have at least a basic understanding of fundamental programming concepts and some experience with introductory Javascript or Python. And the knowledge of Node JS is an advantage.

Installation

Make sure you have the following installed. And the installation will be based on your preferences. If you choose to go with Node JS then install Node JS related requirements only and if you choose to go with Python then install Python related requirements only.

Node JS related requirements:

• Latest version of Node.js
• Latest version of NPM (Node Package Manage)

Python related requirements:

• Latest version of Python

Other optional requirements:

• Latest version of git (This is optional. It requires only if you choose to clone project)

Getting Started

1. Either you can clone or download repository from GitHub.

   • Clone with HTTPS (required git installed in your system)

     git clone https://github.com/vishalnagda1/kvs-scripts.git

   • Clone with SSH (required git installed in your system)

     git clone git@github.com:vishalnagda1/kvs-scripts.git

   • Download Zip

2. Navigate to project directory in the terminal or command prompt.

   cd kvs-scripts

3. Install project dependencies

   • Node JS

     npm install

   • Python

     pip install -r requirements.pip

4. Run the Script

   • Node JS User

     npm start <url> <from> <range> <logTcData>

   • Python User

     python tc-data.py <url> <from> <range> <log_tc_data>

     • url - It is required, and is the base url of your KV School e.g.

       • Node JS

         npm start https://no2udaipur.kvs.ac.in/ 3045701

       • Python

         python tc-data.py https://no2udaipur.kvs.ac.in/ 3045701

     • from - It is required, and is the starting tc number e.g.

       • Node JS

         npm start https://no2udaipur.kvs.ac.in/ 3045701

       • Python

         python tc-data.py https://no2udaipur.kvs.ac.in/ 3045701

     • range - It is optional, and is like how many next tc numbers you want to process like 10 or 20. The default value is 1. e.g.

       • Node JS

         npm start https://no2udaipur.kvs.ac.in/ 3045701 10

       • Python

         python tc-data.py https://no2udaipur.kvs.ac.in/ 3045701 10

     • logTcData or log_tc_data - It is optional, and is a flag value where 1 means to print TC issued data of processed admisison number and 0 (zero) means to skip the logging TC issue data. The default value is 0. e.g.

       • Node js

         python tc-data.py https://no2udaipur.kvs.ac.in/ 3045701 10 1

       • Python

         python tc-data.py https://no2udaipur.kvs.ac.in/ 3045701 10 1

5. TC Number File Output:

   • Both script will generate tc-numbers.txt file in the project directory. It contains all the tc number whose TCs are not yet issued or omitted to issue.

Contributing

1. Fork it ( https://github.com/vishalnagda1/kvs-scripts/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new pull request.