Skip to main content

This Python API provides a high-level interface to interact with the NDTkit desktop application. It allows developers to script and automate NDTkit features remotely, leveraging the full power of the underlying Java application through a simple and pythonic library.

Project description

NDTkit Python API

Python API for NDTkit License

This Python API provides a high-level interface to interact with the NDTkit desktop application. It allows developers to script and automate NDTkit features remotely, leveraging the full power of the underlying Java application through a simple and pythonic library.

⚙️ How it Works

The API acts as a client that communicates with a dedicated socket server running within the NDTkit Java application or that uses directly py4j for basic Java API call.

📋 Prerequisites

Before using this API, you must have:

  1. Python 3.9+ installed.
  2. The NDTkit desktop application installed.
  3. The Java socket server for the API must be running. The Python API can automatically launch it if configured correctly.

⬇️ Installation & Configuration

  1. Install the library
pip install ndtkit-api
  1. Configure the connection: NDTkit and this API are sey with a socket server and a Py4j server that runs on the same IP:PORT, so no change are needed only if this information needs to be expressly changed. If the NDTkit software needs to be launched from an external Python code that embeds this library, it's possible to set the NDTKIT_FILEPATH and this API will launch the software automatically if no socket server is detected. Here is an example on how to configure these different variables:

    from ndtkit_api.config import config
    
    config.NDTKIT_FILEPATH = "C:/Users/admin/NDTkit/NDTkit.vbs"
    config.SERVER_HOST = "127.0.0.1"          # default value
    config.SERVER_PORT = 32146              # default value
    config.SERVER_CONNECTION_TIMEOUT = 120  # default value
    
    • NDTKIT_FILEPATH: This is the most critical setting. It's the command used to launch the Java socket server. The Python API will execute this command if it cannot connect to the server.
    • SERVER_HOST: The IP address of the machine running NDTkit. Use 127.0.0.1 if it's on the same machine.
    • SERVER_PORT: The port for the socket communication. This must match the port the NDTkit server is listening on.
    • SERVER_CONNECTION_TIMEOUT: After this timing (in seconds) this API will stop attempting to connect to NDTkit's socket server

📝 Usage Example

Here is a simple example showing how to open a C-Scan, modify a pixel, and save it to a new file.

# examples.py

from ndtkit_api import NDTKitCScanInterface, ndtkit_socket_connection
from ndtkit_api.model.frame.NICartographyFrameCScan import NICartographyFrameCScan


def change_pixel_value(input_file: str, output_file: str):
    """
    Opens a C-Scan, modifies the value of the first pixel, saves it,
    and re-opens it for display.
    """
    print(f"Opening C-Scan: {input_file}")
    # The server is launched automatically if not running
    cscan: NICartographyFrameCScan = NDTKitCScanInterface.open_cscan(input_file)

    if not cscan:
        print("Failed to open C-Scan.")
        return

    print(f"C-Scan opened successfully with UUID: {cscan.get_uuid()}")

    print("Retrieving data matrix...")
    data: list[list[float]] = cscan.get_data()
    print(f"Original value at [0][0]: {data[0][0]}")

    # Modify the data
    data[0][0] = 12.0
    print(f"Setting new value at [0][0] to 12.0")
    cscan.set_data(data)

    print(f"Saving modified C-Scan to: {output_file}")
    NDTKitCScanInterface.save_cscan(cscan, output_file)

    print("Re-opening the saved C-Scan to verify.")
    NDTKitCScanInterface.open_cscan(output_file, displayResult=True)
    print("Done.")


if __name__ == "__main__":
    ndtkit_socket_connection.launch_ndtkit() # Launch NDTkit if it is not already done
    # Make sure to use paths that are valid on your system
    input_cscan_path = "C:/Users/admin/Documents/Data/dd_carto.nkc"
    output_cscan_path = "C:/Users/admin/Documents/Data/result.nkc"
    change_pixel_value(input_cscan_path, output_cscan_path)

You can find practical usage examples for this API on the dedicated Github page.

✨ A class/method is available in the Java API but it is not appearing in this Python API

It can be reachable anyway, it's just the auto-completion of your IDE that is not working. Actually this Python API is using py4j that allows to access any Java API function. Here's an example on how to access to agi.ndtkit.api.NDTKitCScanInterface.openCScan(String) without using directly the API:

from ndtkit_api.ndtkit_socket_connection import gateway

gateway.jvm.agi.ndtkit.api.NDTKitCScanInterface.openCScan("path/to/my/cscan") # type: ignore

So please refer to the NDTkit Javadoc to have an exhaustive look at all the available actions and call them using this solution if they are not available directly in this Python API.

🚀 Deploying Your Plugin

This library includes a command-line tool to help you build your plugin and deploy it to the correct folder on your PC. To use it, follow these instructions:

  1. Open your terminal (e.g., PowerShell or CMD).

  2. Navigate (cd) to the root directory of your plugin project (the folder that contains your main.py or main entry script).

  3. Activate your Python virtual environment if ndtkit-api has been installed there.

  4. Run the following command:

    deploy
    

First Run: Configuration

The first time you run deploy in your project, a configuration wizard will ask you four questions:

  1. Plugin Name: The name for your final .exe file (defaults to your current folder's name).
  2. Main .py entry file: The main script to compile (defaults to ./main.py).
  3. Target Software: The NDTkit software you are targeting (e.g., UT, RT, ET).
  4. Software Version: The NDTkit version (e.g., 4.1).

This process creates a build_config.json file in your project directory.

What Happens Next

After configuring, the deploy command will automatically:

  1. Run PyInstaller to package your script and all its dependencies into a single .exe file. This file will be placed in a new dist/ folder.
  2. Copy the final .exe from the dist/ folder to the correct NDTkit plugins directory on your computer (e.g., C:\Users\<YourUser>\.ndtkit\Conf_4.1_RT\plugins\).

Your plugin is now installed and ready to be used in the NDTkit application.

Note: On subsequent runs, the script will reuse the settings from build_config.json. If you need to change your configuration (e.g., to target a new version), you can simply delete this file and run deploy again to be re-prompted.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ndtkit_api-0.0.14.tar.gz (42.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ndtkit_api-0.0.14-py3-none-any.whl (53.3 kB view details)

Uploaded Python 3

File details

Details for the file ndtkit_api-0.0.14.tar.gz.

File metadata

  • Download URL: ndtkit_api-0.0.14.tar.gz
  • Upload date:
  • Size: 42.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for ndtkit_api-0.0.14.tar.gz
Algorithm Hash digest
SHA256 7ae7f60a38d2914c315944e526459ce7602d29de5d24f77de99fa7b37f1bf322
MD5 d4a970aa38d4e878320e3fd7c21da5a6
BLAKE2b-256 2daa7d1ddaf81a52f55d774129dfcdc96e13e485a38870449d52db872e4bccfa

See more details on using hashes here.

File details

Details for the file ndtkit_api-0.0.14-py3-none-any.whl.

File metadata

  • Download URL: ndtkit_api-0.0.14-py3-none-any.whl
  • Upload date:
  • Size: 53.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for ndtkit_api-0.0.14-py3-none-any.whl
Algorithm Hash digest
SHA256 67e4e32569eefd2e361ac3abaeaabebe95d676a0cca36f3788c81809e91ac384
MD5 e2184f0b24e905b9dd4a9dab9c2d5048
BLAKE2b-256 1b81547b40d50f1f94ba7bee01406abf0ad315c62675b8990bfb936d6aa05a04

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page