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Description:

prov2neo 1.2.2

Welcome to prov2neo! 👋

prov2neo is a Python library and command line tool that imports W3C PROV documents into Neo4j.
prov2neo enables faster imports than comparable libs such as prov-db-connector with the limitation of being specialized for neo4j.

🏗️ Installation
Clone the project and use the provided setup.py to install prov2neo locally:
python setup.py install --user

Or install the latest release from PyPi:
pip install prov2neo

🚀 Usage
prov2neo can be used as a command line script or as a Python lib.
As a Command Line Script
usage: prov2neo [-h] [-f {provn,json,rdf,xml}] [-i INPUT [INPUT ...]] [-a ADDRESS]
[-u USERNAME] [-p PASSWORD] [-n NAME]
[-s {bolt,bolt+s,bolt+ssc,http,https,http+s,http+ssc}]

Import W3C PROV documents to Neo4j.

optional arguments:
-h, --help show this help message and exit
-f {provn,json,rdf,xml}, --format {provn,json,rdf,xml}
input PROV format
-i INPUT [INPUT ...], --input INPUT [INPUT ...]
input files, use '.' for stdin
-a ADDRESS, --address ADDRESS
Neo4j address
-u USERNAME, --username USERNAME
Neo4j username
-p PASSWORD, --password PASSWORD
Neo4j password
-n NAME, --name NAME Neo4j target database name
-s {bolt,bolt+s,bolt+ssc,http,https,http+s,http+ssc}, --scheme {bolt,bolt+s,bolt+ssc,http,https,http+s,http+ssc}
connection scheme to use when connecting to Neo4j

As a Python Lib
from prov.model import ProvDocument
from prov2neo.client import Client

# read graph from JSON serialization
graph = ProvDocument.deserialize(source="examples/horsemeat.json", format="json")

# create a prov2neo client
client = Client()
# connect to the neo4j instance
client.connect(
address="localhost:7687",
user="jane doe",
password="**redacted**",
name="database name",
scheme="bolt"
)
# import the PROV graph
client.import_graph(graph)

prov2neo supports formats that the prov library provides:

PROV-N
PROV-O (RDF)
PROV-XML
PROV-JSON

🤝 Contributing
Contributions and pull requests are welcome!
For major changes, please open an issue first to discuss what you would like to change.
✨ Citable Software
This project contains a CITATION.cff file!
CITATION.cff files are plain text files with human- and machine-readable citation information for software (and datasets).
GitHub will link the correct citation automatically.
To find out more about GitHubs support for CITATION.cff files visit here
📝 License
Copyright © 2020-2022 German Aerospace Center (DLR) and individual contributors.
This project is MIT licensed.