huwise-utils-py 1.4.0

A Python wrapper library for the Huwise Automation API

huwise-utils-py

A Python library for the Huwise Automation API.

Features

• Type-safe configuration with Pydantic-based HuwiseConfig
• Object-oriented API with HuwiseDataset class and method chaining
• Async support for high-performance bulk operations
• Airflow-friendly logging via Python stdlib logging
• Dependency injection support for testable code
• Backwards compatible function-based API available

Installation

Using uv (recommended):

uv add huwise-utils-py

Or via pip:

pip install huwise-utils-py

Requirements

• Python Version: 3.12 or higher
• Domain: Optional (defaults to data.bs.ch; set HUWISE_DOMAIN for other portals)
• API Key: Required for Automation API operations

Quick Start

Configuration

Create a .env file:

HUWISE_API_TYPE=automation/v1.0

If your portal is not data.bs.ch, also set:

HUWISE_DOMAIN=your-portal.example.org

Set your API key:

HUWISE_API_KEY=your-api-key

Using HuwiseDataset (Recommended)

from huwise_utils_py import HuwiseDataset

# Create a dataset instance from its ID
dataset = HuwiseDataset.from_id("100123")

# Read metadata
title = dataset.get_title()
description = dataset.get_description()

# Update with method chaining
dataset.set_title("New Title", publish=False).set_description("New description").publish()

# Create a new dataset
created = HuwiseDataset.create(
    metadata={"default": {"title": {"value": "My New Dataset"}}},
    dataset_id="my-new-dataset",
    is_restricted=False,
)

# Update dataset-level schema/configuration
created.update_configuration(dataset_id="my-renamed-dataset", is_restricted=True)

# Append a dataset field configuration processor
created.append_field_configuration(
    {
        "type": "rename",
        "label": "Rename field",
        "from_name": "old_name",
        "to_name": "new_name",
    }
)

Using Functions

from huwise_utils_py import get_dataset_title, set_dataset_title

# Read
title = get_dataset_title(dataset_id="100123")

# Write
set_dataset_title("New Title", dataset_id="100123")

# Create
from huwise_utils_py import create_dataset
new_dataset = create_dataset(
    metadata={"default": {"title": {"value": "My New Dataset"}}},
    dataset_id="my-new-dataset",
)

Bulk Operations

from huwise_utils_py import bulk_get_metadata, bulk_get_metadata_async
import asyncio

# Synchronous
metadata = bulk_get_metadata(dataset_ids=["100123", "100456", "100789"])

# Asynchronous (10-100x faster for many datasets)
metadata = asyncio.run(bulk_get_metadata_async(dataset_ids=["100123", "100456", "100789"]))

API Key Setup

To use huwise-utils-py, create an API key with these permissions:

• Browse all datasets
• Create new datasets
• Edit all datasets
• Publish own datasets

For OGD Basel, create your API key here.

Important: Add **/.env to your .gitignore to protect your credentials.

Documentation

Full documentation is available at opendatabs.github.io/huwise-utils-py.

API Reference

This library is a Python client for the Huwise Automation API. The Automation API enables programmatic management of datasets, metadata, resources, security, and more on Huwise (ex Opendatasoft) portals.

For the complete API specification including all available endpoints, request/response schemas, and authentication details, see the official Automation API documentation.

Related Projects

• odsAutomationR - An R package for accessing the Automation API, developed by the Canton of Thurgau. If you're working in R, this package provides similar functionality.

Further Links

• GitHub Repository
• PyPI Package
• Huwise Automation API Documentation
• DCC Python Coding Standards

License

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