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https://github.com/czaki/local-migrator
Migration engine for napari plugins
https://github.com/czaki/local-migrator
Last synced: 3 months ago
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Migration engine for napari plugins
- Host: GitHub
- URL: https://github.com/czaki/local-migrator
- Owner: Czaki
- License: mit
- Created: 2022-03-30T14:25:35.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-09-02T22:15:49.000Z (4 months ago)
- Last Synced: 2024-10-14T11:37:56.899Z (3 months ago)
- Language: Python
- Size: 115 KB
- Stars: 5
- Watchers: 2
- Forks: 1
- Open Issues: 3
-
Metadata Files:
- Readme: README.rst
- License: LICENSE.txt
Awesome Lists containing this project
README
**************
Local Migrator
**************.. image:: https://codecov.io/gh/Czaki/local-migrator/branch/main/graph/badge.svg?token=KGEGEQYYRH
:target: https://codecov.io/gh/Czaki/local-migrator
:alt: Codecov.. image:: https://github.com/Czaki/local-migrator/actions/workflows/tests.yml/badge.svg
:target: https://github.com/Czaki/local-migrator/actions/workflows/tests.yml
:alt: Test.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
:target: https://github.com/psf/black
:alt: Code Style.. image:: https://readthedocs.org/projects/local-migrator/badge/?version=latest
:target: https://local-migrator.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status.. image:: https://badge.fury.io/py/local-migrator.svg
:target: https://badge.fury.io/py/local-migrator
:alt: PyPI version.. image:: https://anaconda.org/conda-forge/local-migrator/badges/version.svg
:target: https://anaconda.org/conda-forge/local-migrator
:alt: Conda-forge versionThis support package simplifies data persistence between user sessions
and software version updates.The main idea of this package is simplify data migration between versions,
and allow to define migration information next to data structure definition.Basic usage (data serialization)
################################If You only need to serialize data, then you could use only JSON hooks
.. code-block:: python
import json
from pydantic import BaseModel
from local_migrator import Encoder, object_hookclass SampleModel(BaseModel):
field1: int
field2: strdata = SampleModel(field1=4, field2="abc")
with open("sample.json", "w") as f_p:
json.dump(data, f_p, cls=Encoder)with open("sample.json") as f_p:
data2 = json.load(f_p, object_hook=object_hook)assert data == data2
Migrations
##########To register this information there is ``register_class`` decorator.
It has 4 parameters:* ``version`` - version of data structure
* ``migration_list`` - list of tuple (``version``. ``migration_function``).
* ``old_paths`` - list of fully qualified python paths to previous class
definitions. This is to allow move class during code refactoring.
* ``use_parent_migrations`` - if True, then parent class migrations
will be used.Lets imagine that we have such code
.. code-block:: python
from local_migrator import Encoder, object_hook
class SampleModel(BaseModel):
field1: int
field_ca_1: str
field_ca_2: floatwith open("sample.json", "w") as f_p:
json.dump(data, f_p, cls=Encoder)But there is decision to move both ``ca`` field to sub structure:
.. code-block:: python
class CaModel(BaseModel):
field_1: str
field_2: floatclass SampleModel(BaseModel):
field1: int
field_ca: CaModelThen with ``local_migrator`` code may look:
.. code-block:: python
from local_migrator import object_hook, register_class
class CaModel(BaseModel):
field_1: str
field_2: floatdef ca_migration_function(dkt):
dkt["field_ca"] = CaModel(field1=dkt.pop("field_ca_1"),
field2=dkt.pop("field_ca_2"))
return dkt@register_class("0.0.1", [("0.0.1", ca_migration_function)])
class SampleModel(BaseModel):
field1: int
field_ca: CaModelwith open("sample.json") as f_p:
data = json.load(f_p, object_hook=object_hook)Assume that there is decision to rename ``field1`` to ``id``.
Then code may look:.. code-block:: python
from local_migrator import object_hook, register_class, rename_key
class CaModel(BaseModel):
field_1: str
field_2: floatdef ca_migration_function(dkt):
dkt["field_ca"] = CaModel(field1=dkt.pop("field_ca_1"),
field2=dkt.pop("field_ca_2"))
return dkt@register_class("0.0.2", [("0.0.1", ca_migration_function), ("0.0.2", rename_key("field1", "id"))])
class SampleModel(BaseModel):
id: int
field_ca: CaModelwith open("sample.json") as f_p:
data = json.load(f_p, object_hook=object_hook)More examples could be found in `examples`_ section of documentation
Additional functions
####################* ``rename_key(from_key: str, to_key: str, optional=False) -> Callable[[Dict], Dict]`` - helper
function for rename field migrations.* ``update_argument(argument_name:str)(func: Callable) -> Callable`` - decorator to keep backward
compatibility by converting ``dict`` argument to some class base on function type annotationContributing
############Contributions are encouraged! Please create pull request or open issue.
For PR please remember to add tests and documentation.Additional notes
################This package is originally named ``nme`` but was rename to clarify its purpose.
This package is extracted from `PartSeg`_
project for simplify reuse it in another projects... _PartSeg: https://github.com/4DNucleome/PartSeg
.. _examples: https://local-migrator.readthedocs.io/en/latest/examples.html