| Name | deepmerge JSON |
| Version |
1.1.1
JSON |
| download |
| home_page | http://deepmerge.readthedocs.io/en/latest/ |
| Summary | a toolset to deeply merge python dictionaries. |
| upload_time | 2023-12-18 22:14:13 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | |
| license | |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
=========
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/>`_
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