Project: deepmerge

a toolset to deeply merge python dictionaries.

Project Details

Latest version
1.1.1
Home Page
http://deepmerge.readthedocs.io/en/latest/
PyPI Page
https://pypi.org/project/deepmerge/

Project Popularity

PageRank
0.0022637135447691192
Number of downloads
1059182

========= deepmerge

.. image:: https://github.com/toumorokoshi/deepmerge/actions/workflows/python-package.yaml/badge.svg :target: https://github.com/toumorokoshi/deepmerge/actions/workflows/python-package.yaml

A tools to handle merging of nested data structures in python.


Installation

deepmerge is available on pypi <https://pypi.python.org/>_:

.. code-block:: bash

pip install deepmerge


Example

Generic Strategy

.. code-block:: python

from deepmerge import always_merger

base = {"foo": ["bar"]}
next = {"foo": ["baz"]}

expected_result = {'foo': ['bar', 'baz']}
result = always_merger.merge(base, next)

assert expected_result == result

Custom Strategy

.. code-block:: python

from deepmerge import Merger

my_merger = Merger(
    # pass in a list of tuple, with the
    # strategies you are looking to apply
    # to each type.
    [
        (list, ["append"]),
        (dict, ["merge"]),
        (set, ["union"])
    ],
    # next, choose the fallback strategies,
    # applied to all other types:
    ["override"],
    # finally, choose the strategies in
    # the case where the types conflict:
    ["override"]
)
base = {"foo": ["bar"]}
next = {"bar": "baz"}
my_merger.merge(base, next)
assert base == {"foo": ["bar"], "bar": "baz"}

You can also pass in your own merge functions, instead of a string.

For more information, see the docs <https://deepmerge.readthedocs.io/en/latest/>_