/neorm

An Object Graph Mapper (OGM) for the Neo4j graph database.

Primary LanguagePythonMIT LicenseMIT

neomodel

An Object Graph Mapper (OGM) for the neo4j graph database, built on the awesome neo4j_driver

If you need assistance with neomodel, please create an issue on the GitHub repo found at https://github.com/neo4j-contrib/neomodel/.

  • Familiar class based model definitions with proper inheritance.
  • Powerful query API.
  • Schema enforcement through cardinality restrictions.
  • Full transaction support.
  • Thread safe.
  • Pre/post save/delete hooks.
  • Django integration via django_neomodel
https://secure.travis-ci.org/neo4j-contrib/neomodel.png Documentation Status Join the chat at https://gitter.im/neo4j-contrib/neomodel

Documentation

(Needs an update, but) Available on readthedocs.

Requirements

Installation

Install from pypi (recommended):

   $ pip install neomodel ($ source dev # To install all things needed in a Python3 venv)

Neomodel has some optional dependencies (including Shapely), to install these use:

   $ pip install neomodel['extras']

To install from github:

$ pip install git+git://github.com/neo4j-contrib/neomodel.git@HEAD#egg=neomodel-dev

Upgrading 2.x to 3.x

  • Now utilises neo4j_driver as the backend which uses bolt so neo4j 3 is required
  • Connection now set through config.DATABASE_URL (see getting started docs)
  • The deprecated category() method on StructuredNode has been removed
  • The deprecated index property on StructuredNode has been removed
  • The streaming=True flag is now irrelevant with bolt and produces a deprecation warning
  • Batch operations must now be wrapped in a transaction in order to be atomic
  • Indexing NodeSets returns a single node now as opposed to a list

Contributing

Ideas, bugs, tests and pull requests always welcome.

As of release 3.3.2 we now have a curated list of issues / development targets for neomodel available on the Wiki.

If you are interested in developing neomodel further, pick a subject from the list and open a Pull Request (PR) for it. If you are adding a feature that is not captured in that list yet, consider if the work for it could also contribute towards delivering any of the existing todo items too.

Running the test suite

Make sure you have a Neo4j database version 3 or higher to run the tests on.:

$ export NEO4J_BOLT_URL=bolt://<username>:<password>@localhost:7687 # check your username and password

Ensure dbms.security.auth_enabled=true in your database configuration file. Setup a virtual environment, install neomodel for development and run the test suite:

$ source dev
$ pytest

If you are running a neo4j database for the first time the test suite will set the password to 'test'. If the database is already populated, the test suite will abort with an error message and ask you to re-run it with the --resetdb switch. This is a safeguard to ensure that the test suite does not accidentally wipe out a database if you happen to not have restarted your Neo4j server to point to a (usually named) debug.db database.

If you have docker-compose installed, you can run the test suite against all supported Python interpreters and neo4j versions:

# in the project's root folder:
$ ./tests-with-docker-compose.sh