pyunicore 0.9.3

Python helper functions for using the UNICORE REST API

# # Python library for using the UNICORE REST API #

This library covers part of the UNICORE REST API, making common tasks like job submission and file access more convenient, and integrates UNICORE features better with typical Python usage.

For the full, up-to-date documentation of the REST API, see https://sourceforge.net/p/unicore/wiki/REST_API

Development of this library was funded in part by the Human Brain Project

For more information about the Human Brain Project, see https://www.humanbrainproject.eu/

See LICENSE file for licensing information

# Getting started with pyUNICORE

Install from PyPI with

pip install -U pyunicore

Sample code to create a client for a UNICORE site

import pyunicore.client as unicore_client import json from base64 import b64encode

base_url = “https://localhost:8080/DEMO-SITE/rest/core”

# authenticate with username/password token = b64encode(b”demouser:test123”).decode(“ascii”) transport = unicore_client.Transport(token, oidc=False)

client = unicore_client.Client(transport, base_url) print(json.dumps(client.properties, indent = 2))

# Running a sample job and reading result data

my_job = {‘Executable’: ‘date’}

job = client.new_job(job_description=my_job, inputs=[]) print(json.dumps(job.properties, indent = 2))

job.poll() # wait for job to finish

work_dir = job.working_dir print(json.dumps(work_dir.properties, indent = 2))

stdout = work_dir.stat(“/stdout”) print(json.dumps(stdout.properties, indent = 2))

content = stdout.raw().read() print(content)

# Connecting to a Registry and listing all registered services

import pyunicore.client as unicore_client import json, b64encode

registry_url = “https://localhosz:8080/REGISTRY/rest/registries/default_registry”

# authenticate with username/password token = b64encode(b”demouser:test123”).decode(“ascii”) transport = unicore_client.Transport(token, oidc=False)

r = unicore_client.Registry(tr, registry_url) print(r.site_urls)