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https://github.com/wcooley/python-py2neo_compat

Compatibility layer for py2neo
https://github.com/wcooley/python-py2neo_compat

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Compatibility layer for py2neo

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README 

        
=============

py2neo_compat

=============



.. image:: https://img.shields.io/pypi/v/py2neo_compat.svg

        :target: https://pypi.python.org/pypi/py2neo_compat



..

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            :target: https://travis-ci.org/wcooley/py2neo_compat



..

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            :target: https://py2neo-compat.readthedocs.io/en/latest/?badge=latest

            :alt: Documentation Status



..

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         :target: https://pyup.io/repos/github/wcooley/py2neo_compat/

         :alt: Updates



Description

-----------

A (probably vain) attempt to create a cross-version compatibility layer for

py2neo_.



Purpose

-------

Every major release of py2neo has radically (and gratuitously, it seems)

changed the API: package/module organization, name of the database connection

class, facilities for working with nodes & relationships -- not to mention

more complicated features like interacting with schema.



What is implemented here is a hodgepodge of monkey-patches and other hacks

to make things work between v1.6 and v2.



Background

----------

At work I inherited a codebase developed around py2neo v1.6, and data access

was intricately tied with business logic.

Tests were scarce and what tests existed were system tests that did not

address errors, boundary conditions, etc., so updating every use of py2neo

for a new version would be very risky.

(Not to mention that I was just learning py2neo & Neo4j.)



My initial plan was to upgrade to py2neo v2 (current at the time)

incrementally by monkey-patching & renaming to make v1.6 able to be used as

if it were v2 and when the code had all been changed to use v2, upgrade to

py2neo v2.

Along the way I had the opportunity to develop a new, stand-alone

application, so I started out creating a new dist for the application and

developing some libraries that could be shared with legacy system, so I

created a separate dist for the shared libraries.

I did not want to develop the new application with the old v1.6, so my shared

library would need to support both v1.6 and v2.

I also started a separate project called gryaml_, to load sample data from

YAML files, which also needed to support multiple versions in order to be

run as test fixtures.



Features

--------



* Implementation-independent names, optionally monkey-patched into the

  ``py2neo`` namespace and classes upon call to

  ``py2neo_compat.monkey_patch_py2neo``:



  * ``Graph``



    * ``Graph.create_unique`` (only single path)

    * ``Graph.cypher.stream``

    * ``Graph.cypher.execute``

    * ``Graph.delete_all``

    * ``Graph.find_one``

    * ``Graph.legacy.delete_index``

    * ``Graph.legacy.get_*index*``

    * ``Graph.resource``

    * ``Graph.uri``



  * ``Node``



    * ``Node.labels`` property (get-only)

    * ``Node.pull`` method (aliased to ``refresh`` in v1)

    * ``Node.push`` method (aliased to ``refresh`` in v1)



  * ``Relationship``



    * ``Relationship.push`` method (aliased to ``refresh`` in v1)

    * ``Relationship.pull`` method (aliased to ``refresh`` in v1)



  * ``Record``

  * ``node``

  * ``rel``

  * ``ServerError``

  * ``ClientError``

  * ``URI``

  * ``Resource``



  * ``py2neo.legacy.LegacyWriteBatch``

  * ``py2neo.legacy.Index``

  * ``py2neo.batch.WriteBatch``



* Custom wrapper functions, which are not monkey-patched:



  * ``py2neo_compat``



    * ``graph_metadata``

    * ``create_node``

    * ``py2neo_entity_to_dict`` aka ``to_dict``: Dump the properties of a

      node or relationship as a ``dict``.



  * ``schema``:



    * ``schema_constraints`` - Yields tuples of schema constraints for

      *all* constraints (not just ones in use).

    * ``schema_indexes`` - Yields tuples of schema indexes for *all*

      indexes (not just ones in use).

    * ``drop_schema``

    * ``drop_constraints``

    * ``drop_indexes``

    * ``create_schema``



* Known limitations:



  * py2neo v1.6 will not create labels with an abstract ``Node``.

  * There is no common way to modify labels after node creation; v1 uses

    special methods to manipulate the labels, whereas v2 uses a a subclass

    of ``set``. The easy way would be to add the v1 methods to v2, but I

    am trying to avoid propagating the v1 API; the harder way would be to

    implement a set-like class for v1, but considerably more work. Another

    alternative is a compatibility function, which ends up being another

    API. I have not really needed to manipulate labels after creation.



* Free software: Apache Software License 2.0



.. * Documentation: https://py2neo-compat.readthedocs.io.

    TBD



Future

------



For future development, I am considering several options:



* Attempt to do just enough to support v3 and ignore v4.

* Ignore v3 and reimplement the features I need on v4.

* Ignore v3 and v4 altogether and build what I need on v2 and the

  `Bolt-only Python driver`_.



Approaches other than monkey-patching:



* Instead of monkey-patching, subclass or wrap the appropriate classes

  and re-implement the differing bits. Clients would import directly from the

  ``py2neo_compat`` package, rather than importing, calling the monkey-patch

  function and then importing from ``py2neo``.

* Adopt a function-based approach, where the receiver is an explicit parameter

  instead of having methods. This can get redundant, since the type of the

  primary receiver ends up being embedded in the name.



This would might work better for Nodes and Relationships and the basic

Graph features than the schema, batch and legacy index support.



Credits

-------



This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.



.. _py2neo: http://py2neo.org

.. _gryaml: https://github.com/wcooley/python-gryaml

.. _`Bolt-only Python driver`: https://neo4j.com/docs/api/python-driver/current/

.. _Cookiecutter: https://github.com/audreyr/cookiecutter

.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage