packify 0.2.2

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Packify

This is a simple package that allows one to serialize and deserialize practically any data structure to and from bytes.

Installation

pip install packify

Usage

Usage is simple: import the package and call the pack/unpack functions.

from packify import pack, unpack
from decimal import Decimal

data = {
    123: 432.1,
    "abc": "cba",
    b"abc": b"cba",
    "None": None,
    'list': [
        '123',
        123,
        b'123',
    ],
    'tuple': (
        '123',
        123,
        b'123',
    ),
    'set': {
        '123',
        123,
        b'123',
    },
    'Decimal': Decimal('123.321'),
}

packed = pack(data)
unpacked = unpack(packed)
assert type(packed) is bytes
assert unpacked == data

The following types are supported:

• int
• float
• Decimal
• str
• bytes
• bytearray
• NoneType
• list
• tuple
• set
• dict

Additionally, a simple duck-type interface/protocol, Packable, is included. Any more complex data structure can be handled if it implements the Packable interface. Packable is defined as follows:

@runtime_checkable
class Packable(Protocol):
    def pack(self) -> bytes:
        """Packs the instance into bytes."""
        ...

    @classmethod
    def unpack(cls, data: bytes, /, *, inject: dict = {}) -> Packable:
        """Unpacks an instance from bytes. Must accept dependency
            injection to unpack other Packable types.
        """
        ...

If a class that implements Packable is used, then it needs to be included in the inject parameter for calls to unpack. For example:

from dataclasses import dataclass, field
from packify import pack, unpack

@dataclass
class Thing:
    data: str = field()
    amount: int = field()
    fraction: float = field()
    parts: list = field()
    def __eq__(self, other) -> bool:
        return type(self) is type(other) and self.pack() == other.pack()
    def pack(self) -> bytes:
        return pack((self.data, self.amount, self.fraction, self.parts))
    @classmethod
    def unpack(cls, data: bytes, /, *, inject: dict = {}):
        return cls(*unpack(data, inject={**globals(), **inject}))

thing = Thing("hello world", 123, 420.69, ['a', b'b', 3])
packed = pack(thing)
unpacked = unpack(packed, inject={'Thing': Thing})
assert unpacked == thing
# alternately, the easier but less specific method is to copy globals
unpacked = unpack(packed, inject={**globals()})
assert unpacked == thing

As long as the class implements the Packable protocol, it can be included in lists, sets, tuples, and dicts (assuming it is hashable for set or to be used as a dict key), and it will just work.

Technically, monkey-patching is also possible:

import packify
packify.SomeClass = SomeClass

packed = packify.pack(SomeClass())
unpacked = packify.unpack(packed)

This is not encouraged, but it is possible if you do not want to pass inject parameters. (Code should be easier to test when using the inject parameter instead of monkey-patching.)

The pack function will raise a UsageError if the data is not serializable, and the unpack function will raise a UsageError if it is unable to find a Packable class to unpack the relevant item.

For convenience/use in annotations, a SerializableType is exported which includes the above type information.

Full documentation can be found in dox.md, which was generated automagically by autodox.

Tests

Since it is a simple package, there are only 7 tests, and they are mostly e2e tests of both the pack and unpack functions. To run the tests, clone the repository and use the following:

python test/test_serialization.py

License

Copyleft (c) 2023 k98kurz

Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyleft notice and this permission notice appear in all copies.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.