bitstruct-annotated 0.1.3

Annotate fields with bitstruct un/packing instructions

bitstruct-annotated - Annotate fields with bitstruct un/packing instructions

This package provides metadata classes that can be used to annotate fields with un/packing instructions for the bitstruct package. In particular, this package is intended to be used in conjunction with either dataclasses or Pydantic's BaseModel.

Besides metadata classes for each format type supported by bitstruct, this package also provides a metadata class to indicate nested structures.

Functions are provided to un/pack instances by calling bitstruct with the format string, that is assembled from the metadata annotations.

Installation

bitstruct-annotated can be installed from PyPI using pip:

pip install bitstruct-annotated

Usage

The metadata classes provided by this package can be used in conjunction with Python's built-in Annotated type annotation:

from dataclasses import dataclass
from typing import Annotated
import bitstruct_annotated as ba

@dataclass
class MyDataClass:
    other_field: int
    integer_field: Annotated[int, ba.Unsigned(size=8, msb_first=True)]
    padding_field: Annotated[int, ba.PaddingZeros(size=7, order='first')]
    boolean_field: Annotated[bool, ba.Bool(size=1, order='after:padding_field')]

mdc = MyDataClass(12, 34, 0, True)
packed = ba.pack(mdc)
# packed == b'\x01\x22'

In the example above, Annotated is used to include the un/packing instructions as additional metadata in the field's type annotations. Fields without annotation are ignored by the bitstruct_annotated.pack and bitstruct_annotated.unpack functions.

While the size argument indicates the numbers of bits to be used for the field, the order argument indicates the order in which the fields should be packed. Here, the padding_field will be packed first, followed by the boolean_field.

The msb_first argument (default is True) can be set to False to reverse the bit order of a field. Currently, the bitstruct package does not support alternate byte orders. If required, the user has to swap bytes after packing by themselves.

The bitstruct_annotated.format_string function can be used to generate and inspect the resulting bitstruct format string. To obtain values to be packed from an instance, the bitstruct_annotated.field_values function can be used:

# ... continued from the previous example
format_string = ba.format_string(MyDataClass)
# format_string == '>p7b1u8'
values = ba.field_values(mdc)
# values == (True, 34)

A similar example using Pydantic's BaseModel:

from pydantic import BaseModel
from typing import Annotated
import bitstruct_annotated as ba

class MyPydanticModel(BaseModel):
    other_field: int
    integer_field: Annotated[int, ba.Unsigned(size=8, msb_first=True)]
    padding_field: Annotated[int, ba.PaddingZeros(size=7, order='first')]
    boolean_field: Annotated[bool, ba.Bool(size=1, order='after:padding_field')]


m = MyPydanticModel(other_field=0, integer_field=34, padding_field=0, boolean_field=True)
packed = ba.pack(m)
# packed == b'\x01\x22'

The following metadata classes are provided by this package:

• Bool: Boolean field.
• Float: To be used for floating-point field.
• PaddingOnes: A padding field filled with ones.
• PaddingZeros: A padding field filled with zeros.
• Raw: Contains raw data (bytes).
• Signed: Signed integer field.
• Text: Used for text fields (strings).
• Unsigned: Unsigned integer field.
• Nested: Nested structure - bitstruct_annotated will recurse into the field's type to look for additional annotations.

The following functions are provided by this package:

• format_string: Generate a bitstruct format string from a class.
• field_values: Extract values from an instance to be packed.
• pack: Pack an instance into a byte string.
• unpack: Unpack a byte string into an instance.

Note that the instance has to have been initialized first when unpacking. This is necessary, because the bitstruct_annotated.unpack function does not make any assumptions about the class' constructor.

For further information, refer to the docstrings of the functions and metadata classes.

Examples

Runnable example scripts are provided in the examples/ directory:

• basic_usage.py: Minimal dataclass with packing & unpacking.
• nesting.py: Demonstrates nested structures via Nested().
• reordering.py: Shows ordering constraints (first, last, before, after).
• pydantic_model.py: Use with a Pydantic BaseModel.

Run an example (after editable install):

python -m pip install -e .[dev]
python examples/basic_usage.py

Quick reference:

Goal	How
Generate format string	ba.format_string(MyCls)
Get values to pack	ba.field_values(instance)
Pack instance	ba.pack(instance)
Unpack bytes	ba.unpack(instance, data)
Nested structure	Annotate field with ba.Nested()
Ordering constraint	`order="first"
Padding	ba.PaddingZeros(bits) / ba.PaddingOnes(bits)