spadesdk 0.5.0

Spade SDK

Spade SDK

Spade SDK provides basic classes to implement Spade Files and Processes. For more information about Spade, please visit Spade

It has no dependencies on other Python libraries, and allows development for Spade without a need to install the full Spade app.

Installation

pip install spadesdk

Optional Dependencies

For file validation functionality, install with the pandera extra:

pip install spadesdk[pandera]

Usage

All core classes are available directly from the top-level package:

from spadesdk import Executor, Process, RunResult, File, FileProcessor, FileUpload, HistoryProvider, User

Basic objects

FileProcessor

FileProcessor processes the file uploaded by the user in the Spade app.

File Validation

The FileProcessor class includes a static validate method that can validate file data against a schema using the Pandera library. This method validates DataFrame data against a Frictionless schema defined in the File object.

Requirements:

• The spadesdk[pandera] package must be installed (available as an optional dependency)
• A valid Frictionless schema must be defined in Spade

# Validate DataFrame against the schema
FileProcessor.validate(file, dataframe)

Note: If Pandera is not installed, calling the validate method will raise an ImportError. If file.schema is None, a ValueError is raised.

Executor

Executor executes a Spade process, either by directly running Python code or by calling an external service.

HistoryProvider

HistoryProvider provides the history of a Spade from if the actual process is executed by an external service. If the process is executed in Spade, a HistoryProvider is not needed.

Note: The get_runs() method receives a request parameter that is expected to be a Django HTTP request object. HistoryProvider implementations are therefore coupled to Django.

Releasing

Releases are published to PyPI automatically via GitHub Actions when a version tag is pushed:

git tag 0.5.0
git push origin 0.5.0

The workflow builds a wheel and sdist with uv build, then publishes using OIDC trusted publishing (no API token needed). Requires a pypi environment configured in the GitHub repository settings.