le-fantosme / datafiles

A file-based ORM for Python dataclasses.

Home Page:https://datafiles.readthedocs.io

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Datafiles: A file-based ORM for dataclasses

Datafiles is a bidirectional serialization library for Python dataclasses that automatically synchronizes objects to the filesystem using type annotations. It supports a variety of file formats with round-trip preservation of formatting and comments, where possible. By default, saves are automatic and include the minimum data needed to restore an object.

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Usage

Take an existing dataclass such as this example from the documentation:

from dataclasses import dataclass

@dataclass
class InventoryItem:
    """Class for keeping track of an item in inventory."""

    name: str
    unit_price: float
    quantity_on_hand: int = 0

    def total_cost(self) -> float:
        return self.unit_price * self.quantity_on_hand

and decorate it with directory pattern to synchronize instances:

from datafiles import datafile

@datafile("inventory/items/{self.name}.yml")
@dataclass
class InventoryItem:
    ...

Then, work with instances of the class as normal:

>>> item = InventoryItem("widget", 3)
# inventory/items/widget.yml

unit_price: 3.0

Changes to the object are automatically saved to the filesystem:

>>> item.quantity_on_hand += 100
# inventory/items/widget.yml

unit_price: 3.0
quantity_on_hand: 100

Changes to the filesystem are automatically reflected in the object:

# inventory/items/widget.yml

unit_price: 2.5  # <= manually changed from "3.0"
quantity_on_hand: 100
>>> item.unit_price
2.5

Restore an object from the filesystem:

from datafiles import Missing

item = InventoryItem("widget", Missing)

assert item.unit_price == 2.5
assert item.quantity_on_hand == 100

Demo: Jupyter Notebook

Installation

Because datafiles relies on dataclasses and type annotations, Python 3.7+ is required. Install this library directly into an activated virtual environment:

$ pip install datafiles

or add it to your Poetry project:

$ poetry add datafiles

Documentation

To see additional syncrhonization and formatting options, please consult the full documentation.

About

A file-based ORM for Python dataclasses.

https://datafiles.readthedocs.io

License:MIT License


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