raise-sdk 0.2.9

RAISE Software Development Kit

RAISE SDK

A software development kit for interacting with the core functionalities of the RAISE project. At the moment, it includes two submodules, revo (i.e. Remote Execution Validation Operations), code_checker (i.e. Code Quality Checker), and a utils folder.

• REVO (Remote Execution Validation Operations)
  The REVO module is designed to implement the core functionalities of the RAI Processing Script Manager, enabling seamless execution and management of Python, JavaScript and R scripts for experiments. It is designed to automate key tasks such as managing dependencies, handling dataset selection, and running the main script, while also ensuring proper validation throughout the process. By integrating these features, REVO ensures that experiments are executed efficiently and with accurate logging, while validating the execution environment and providing detailed results for further analysis.

• Code_checker (Code Quality Checker)
  A lightweight module to enforce code quality across your project through two interchangeable back‑ends:

  1. Ruff
     A zero-plugin, Rust-powered linter included.
  2. Flake8
     The classic Python linter, with support for custom plugins. Ships with a built-in default config (flake8-config.ini) under raise_sdk/code_checker/flake8/.
     • Custom plugins:
       • RCP01 disallows hard-coded UUIDs
       • RCP02 disallows literal backslashes in paths

• Utils
  The utils/ folder serves as a collection of utility modules that provide reusable, convenient, and well-structured functions to simplify common tasks across the application. These modules are designed to handle tasks such as file and folder operations, user interactions, and system-level dialogs. Below is an overview of the provided utilities and their purpose.

Installation

You can install raise_sdk directly from PyPI using pip:

pip install raise_sdk

Usage Examples

Code examples demonstrating how to use the raise_sdk package are provided in the examples folder of the repository. You can explore these examples to understand how to utilize the functionality of the SDK in different scenarios.

To get started, check the examples folder for various scripts and notebooks, such as:

• run_experiment.ipynb: A Jupyter Notebook with step-by-step instructions for running the experiment interactively.

Documentation

For more detailed documentation, please visit the official documentation (link).

License

This project is licensed under the European Union Public License (EUPL) version 1.2. See the LICENSE file for more details.

Contributing

We welcome contributions! If you'd like to contribute, please fork the repository, make changes, and submit a pull request. Contributions are subject to the terms of the EUPL license.

Contact

For any inquiries, feel free to reach out via the following email: [e-mail].