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https://github.com/czaki/local-migrator

Migration engine for napari plugins
https://github.com/czaki/local-migrator

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Migration engine for napari plugins

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README

        

**************
Local Migrator
**************

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:alt: Conda-forge version

This 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_hook

class SampleModel(BaseModel):
field1: int
field2: str

data = 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: float

with 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: float

class SampleModel(BaseModel):
field1: int
field_ca: CaModel

Then 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: float

def 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: CaModel

with 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: float

def 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: CaModel

with 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 annotation

Contributing
############

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