mrbooshehri/windterm_bulk_session

windterm add bulk sessions

Windterm Session Converter

Converts a table containing IP, label, group, and icon separated by pipes (|) into Windterm session JSON format.

Introduction

This Python project aims to simplify the conversion of tabular data, typically found in pipe-separated files, into the JSON format required by Windterm session configurations.

Usage

1. Prepare your input file containing the table with IP, label, group, and icon separated by pipes (|).

   Example input file (input.txt):

   |192.168.1.1|Server 1|Production| server-icon.png|
   |192.168.1.2|Server 2|Test| test-icon.png|
   

2. Run the converter script, specifying the input file:

   python main.py input.txt

3. The converted Windterm session JSON will be generated and printed to the console.

4. You can then copy the JSON output and use it to configure your Windterm sessions.

Input Format

The input file should follow the format below:

|IP|Label|Group|Icon|

• IP: The IP address of the server or device.
• Label: A descriptive label for the session.
• Group: The group or category the session belongs to.
• Icon: The icon associated with the session.

Ensure that each field is separated by a pipe (|) character.

Example

Consider the following input file (input.txt):

|192.168.1.1|Server 1|Production|linux|
|192.168.1.2|Server 2|Test|centos|

Running the converter will produce the following JSON output:

[
    {
        "session.group": "Production",
        "session.icon": "linux",
        "session.label": "Server 1 - 192.168.1.1",
        "session.port": 22,
        "session.protocol": "SSH",
        "session.target": "192.168.1.1",
        "session.uuid": "sdfkjs33-e5f1-4909-b390-a4dda358305f"
    },
    {
        "session.group": "Test",
        "session.icon": "centos",
        "session.label": "Server 2 - 192.168.1.2",
        "session.port": 22,
        "session.protocol": "SSH",
        "session.target": "192.168.1.2",
        "session.uuid": "5sdf55pw-e5f1-4909-b390-a4dda358305f"
    }
]

License

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