nanopub 0.2.7

Python client for Nanopub

nanopub

The nanopub library provides a high-level, user-friendly python interface for searching, publishing and retracting nanopublications.

Setup

Install using pip:

pip install nanopub

To publish to the nanopub server you need to setup your profile. This allows the nanopub server to identify you. Run the following interactive command:

setup_profile

It will add and store RSA keys to sign your nanopublications, publish a nanopublication with your name and ORCID iD to declare that you are using using these RSA keys, and store your ORCID iD to automatically add as author to the provenance of any nanopublication you will publish using this library.

Quick Start

Publishing an assertion as a nanopub

from nanopub import Nanopub, NanopubClient
from rdflib import Graph, URIRef, RDF, FOAF

# Create the client, that allows searching, fetching and publishing nanopubs
client = NanopubClient()

# Construct your desired assertion (a graph of RDF triples)
my_assertion = Graph()
my_assertion.add( (URIRef('www.example.org/timbernerslee'), RDF.type, FOAF.Person) )

# Make a Nanopub object with this assertion
nanopub = Nanopub.from_assertion(assertion_rdf=my_assertion)

# Publish the Nanopub object. The URI at which it is published is returned.
publication_info = client.publish(nanopub)
print(publication_info)

Searching for nanopublications

from nanopub import NanopubClient

# Search for all nanopublications containing the text 'fair'
results = client.search_text('fair')
print(results)

# Search for nanopublications whose assertions contain triples that are ```rdf:Statement```s.
# Return only the first three results.
results = client.search_pattern(
                pred='http://www.w3.org/1999/02/22-rdf-syntax-ns#type',
                obj='http://www.w3.org/1999/02/22-rdf-syntax-ns#Statement',
                max_num_results=3)
print(results)

# Search for nanopublications that introduce a concept that is a ```p-plan:Step```.
# Return only one result.
results = client.search_things('http://purl.org/net/p-plan#Step', max_num_results=1)
print(results)

Fetching nanopublications and inspecting them

# Fetch the nanopublication at the specified URI
np = client.fetch('http://purl.org/np/RApJG4fwj0szOMBMiYGmYvd5MCtRle6VbwkMJUb1SxxDM')

# Print the RDF contents of the nanopublication
print(np)

# Iterate through all triples in the assertion graph
for s, p, o in np.assertion:
    print(s, p, o)

# Iterate through the publication info
for s, p, o in np.pubinfo:
    print(s, p, o)

# Iterate through the provenance graph
for s, p, o in np.provenance:
    print(s,p,o)

# See the concept that is introduced by this nanopublication (if any)
print(np.introduces_concept)

Specifying more information

You can optionally specify that the Nanopub introduces a particular concept, or is derived from another nanopublication:

nanopub = Nanopub.from_assertion(assertion_rdf=my_assertion,
                                 introduces_concept=(URIRef('www.example.org/timbernerslee'),
                                 derived_from=URIRef('www.example.org/another-nanopublication') )

Dependencies

The nanopub library currently uses the nanopub-java tool for signing and publishing new nanopublications. This is automatically installed by the library.