A Python client to simplify interactions with NASA's Unity Platform.

This repository has been archived. Please see https://github.com/unity-sds/unity-monorepo/tree/main/libs/unity-py for active development. .

Unity-Py provides a seamless way to interact with NASA's Unity Platform using Python. Built to simplify the connection and data retrieval process, this client offers a programmatic interface to Unity's services.

• Pythonic interface to NASA's Unity Platform
• Support for interactive and environment variable-based authorization

• Quick Start
• Changelog
• FAQ
• Contributing Guide
• License
• Support

• Python
• pip

1. Install via pypi:

   pip install unity-sds-client
   

2. Install from Github:

   python -m pip install git+https://github.com/unity-sds/unity-py.git
   

3. Building and installing locally using poetry:

   git clone https://github.com/unity-sds/unity-py.git
   cd unity-py
   poetry install
   

Authorization can be handled interactively, in which case you will be prompted for a username/password when calling the Unity() method, or can be handled by way of environment variables:

export UNITY_USER=MY_UNITY_USERNAME
export UNITY_PASSWORD=MY_UNITY_PASSWORD

Order of Authentication Parameters:

1. Environment variables
2. Prompt for username and password

from unity_sds_client.unity import Unity
from unity_sds_client.unity_session import UnitySession
from unity_sds_client.unity_services import UnityServices as services

s = Unity()
# set the venue for interacting with venue specific services
# if your venue id is a single string, use the following
s.set_venue_id("unity-sips-test")

# otherwise set the project and venue:
# s.set_project("sbg")
# s.set_venue("dev")

dataManager = s.client(services.DATA_SERVICE)
collections = dataManager.get_collections()
print(collections)

cd = dataManager.get_collection_data(collections[0])
for dataset in cd:
    print(f'dataset name: {dataset.id}' )
    for f in dataset.datafiles:
        print("	" + f.location)

1. Run all tests and include printouts:

   poetry run pytest -s
   

2. Run non-regression tests:

   poetry run pytest -m "not regression"
   

3. Run regression tests (and include logs)

   (Not Available Yet)
   

See our CHANGELOG.md for a history of our changes.

See our releases page for our key versioned releases.

No questions yet. Propose a question to be added here by reaching out to our contributors! See support section below.

Interested in contributing to our project? Please see our: CONTRIBUTING.md

See our: LICENSE

Please reach out to @anilnatha, @mike-gangl