pydantic-construct 0.1.1

Interfaces between construct and Pydantic to allow typed serializing to bytes.

Pydantic-Construct

Pydantic-Construct integrates Pydantic with construct to provide typed binary serialization and parsing using standard Pydantic models.

Define binary layouts declaratively with type annotations, while keeping Pydantic’s validation and serialization.

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Features

• Declarative binary schemas via Annotated
• model_dump_bytes() / model_validate_bytes()
• Nested models
• Computed fields with ordering control
• Mode-aware field omission (json, python, binary)
• Async parsing from streams

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Installation

pip install pydantic-construct

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Quick Start

Minimal example:

from typing import Annotated
from construct import Int32ul
from pydantic_construct import ConstructModel

class Model(ConstructModel):
    x: Annotated[int, Int32ul]

m = Model(x=123)

data = m.model_dump_bytes()
parsed = Model.model_validate_bytes(data)

assert data == b"\x7B\x00\x00\x00"
assert parsed.x == 123

With padding (ignored outside binary mode):

from typing import Annotated
from pydantic_construct import ConstructModel, OmitInMode
from construct import Padding, Int32ul

class Model(ConstructModel):
    x: Annotated[int, Int32ul]
    pad: Annotated[bytes | None, Padding(4), OmitInMode({"json", "python"})] = None

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Core Concepts

Binary Fields

Each field must define a construct type via Annotated:

x: Annotated[int, Int32ul]

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Mode-Based Omission

Exclude fields depending on serialization mode:

from typing import Annotated
from pydantic_construct import OmitInMode
from construct import Padding

pad: Annotated[
    bytes | None,
    Padding(4),
    OmitInMode({"json", "python"})
]

Modes:

• "python"
• "json"
• "binary"

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Nested Models

from typing import Annotated
from pydantic_construct import ConstructModel
from construct import Int32ul

class Header(ConstructModel):
    length: Annotated[int, Int32ul]

class Packet(ConstructModel):
    header: Header

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Computed Fields (Binary)

Computed fields can participate in binary serialization if they return Annotated[..., Construct].

from typing import Annotated
from pydantic_construct import ConstructModel, binary_after
from pydantic import computed_field
from construct import Int32ul

class Example(ConstructModel):
    x: Annotated[int, Int32ul]

    @computed_field
    @property
    @binary_after("x")
    def checksum(self) -> Annotated[int, Int32ul]:
        return self.x ^ 0xFFFFFFFF

Positioning:

• @binary_after("field")
• @binary_before("field")

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API Overview

Serialize to Binary

data = model.model_dump_bytes()

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Parse from Binary

model = Model.model_validate_bytes(data)

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Async Stream Parsing

model = await Model.model_validate_reader(reader)

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Design Notes

• A construct.Struct is generated at class creation time
• Field order is deterministic and includes computed fields
• Multiple ConstructModel roots in inheritance are disallowed

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Constraints

• Every field must define a construct type
• Computed fields must return Annotated[..., Construct]
• Binary layout must be deterministic

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License

0BSD