This python module provides a general interface to save W3C-PROV documents into databases. Currently we support the Neo4j graph database.
We transform a PROV document into a graph structure and the result looks like this:
Complex example in Neo4j
See full documentation at: prov-db-connector.readthedocs.io
Install it by running:
pip install prov-db-connector
You can view prov-db-connector on PyPi's package index
# Clone project
git clone git@github.com:DLR-SC/prov-db-connector.git
cd prov-db-connector
# Setup virtual environment
virtualenv -p /usr/bin/python3.4 env
source env/bin/activate
# Install dependencies and package into virtual enviroment
make setupfrom prov.model import ProvDocument
from provdbconnector import ProvDb
from provdbconnector.db_adapters.in_memory import SimpleInMemoryAdapter
prov_api = ProvDb(adapter=SimpleInMemoryAdapter, auth_info=None)
# create the prov document
prov_document = ProvDocument()
prov_document.add_namespace("ex", "http://example.com")
prov_document.agent("ex:Bob")
prov_document.activity("ex:Alice")
prov_document.association("ex:Alice", "ex:Bob")
document_id = prov_api.save_document(prov_document)
print(prov_api.get_document_as_provn(document_id))
# Output:
#
# document
# prefix
# ex < http: // example.com >
#
# agent(ex:Bob)
# activity(ex:Alice, -, -)
# wasAssociatedWith(ex:Alice, ex:Bob, -)
# endDocumentfrom provdbconnector import ProvDb
from provdbconnector.db_adapters.in_memory import SimpleInMemoryAdapter
import pkg_resources
# create the api
prov_api = ProvDb(adapter=SimpleInMemoryAdapter, auth_info=None)
# create the prov document from examples
prov_document_buffer = pkg_resources.resource_stream("examples", "file_buffer_example_primer.json")
# Save document
document_id = prov_api.save_document(prov_document_buffer)
# This is similar to:
# prov_api.create_document_from_json(prov_document_buffer)
# get document
print(prov_api.get_document_as_provn(document_id))
# Output:
# document
# prefix
# foaf < http: // xmlns.com / foaf / 0.1 / >
# prefix
# dcterms < http: // purl.org / dc / terms / >
# prefix
# ex < http: // example / >
#
# specializationOf(ex:articleV2, ex:article)
# specializationOf(ex:articleV1, ex:article)
# wasDerivedFrom(ex:blogEntry, ex:article, -, -, -, [prov:type = 'prov:Quotation'])
# alternateOf(ex:articleV2, ex:articleV1)
# wasDerivedFrom(ex:articleV1, ex:dataSet1, -, -, -)
# wasDerivedFrom(ex:articleV2, ex:dataSet2, -, -, -)
# wasDerivedFrom(ex:dataSet2, ex:dataSet1, -, -, -, [prov:type = 'prov:Revision'])
# used(ex:correct, ex:dataSet1, -)
# used(ex:compose, ex:dataSet1, -, [prov:role = "ex:dataToCompose"])
# wasDerivedFrom(ex:chart2, ex:dataSet2, -, -, -)
# wasGeneratedBy(ex:dataSet2, ex:correct, -)
# used(ex:compose, ex:regionList, -, [prov:role = "ex:regionsToAggregateBy"])
# used(ex:illustrate, ex:composition, -)
# wasGeneratedBy(ex:composition, ex:compose, -)
# wasAttributedTo(ex:chart1, ex:derek)
# wasGeneratedBy(ex:chart1, ex:compile, 2012 - 03 - 02
# T10:30:00)
# wasGeneratedBy(ex:chart1, ex:illustrate, -)
# wasAssociatedWith(ex:compose, ex:derek, -)
# wasAssociatedWith(ex:illustrate, ex:derek, -)
# actedOnBehalfOf(ex:derek, ex:chartgen, ex:compose)
# entity(ex:article, [dcterms:title = "Crime rises in cities"])
# entity(ex:articleV1)
# entity(ex:articleV2)
# entity(ex:dataSet1)
# entity(ex:dataSet2)
# entity(ex:regionList)
# entity(ex:composition)
# entity(ex:chart1)
# entity(ex:chart2)
# entity(ex:blogEntry)
# activity(ex:compile, -, -)
# activity(ex:compile2, -, -)
# activity(ex:compose, -, -)
# activity(ex:correct, 2012 - 03 - 31
# T09:21:00, 2012 - 04 - 01
# T15:21:00)
# activity(ex:illustrate, -, -)
# agent(ex:derek, [foaf:mbox = "<mailto:derek@example.org>", foaf:givenName = "Derek", prov:type = 'prov:Person'])
# agent(ex:chartgen, [foaf:name = "Chart Generators Inc", prov:type = 'prov:Organization'])
# endDocumentYou find all examples in the examples folder
Create a new release on github, please use the semver standard for the version number
See LICENSE file