swiftserialize 1.1.1

A simple way to read and write structured data. Easily extendable to support custom data formats.

Copyright (c) 2025 Sean Yeatts. All rights reserved.

A simple way to read and write structured data. Easily extendable to support custom data formats.

Key Features

• Easily read, write, and convert between arbitrary data formats ( ex. json, yaml ).

• Provides convenience methods for de-nesting / re-nesting hierarchical datasets.

• Encode to binary for middleman services ( ex. data encryption ).

Quickstart

Example - conversion between two structured data formats :

# IMPORTS
from swiftserialize import JSONSerializer, YAMLSerializer


# MAIN DEFINITION
def main() -> None:

    # [1] Prepare some files
    file_1 = fr"cache\test.yaml"
    file_2 = fr"cache\test.json"

    # [2] Load structured data directly into a Python dict
    data: dict = YAMLSerializer().load(file_1)

    # [3] Convert to a different structured format
    JSONSerializer().save(data, file_2)


# ENTRY POINT
if __name__ == "__main__":
    main()

Example - introducing a middleman service :

# IMPORTS
from swiftserialize import YAMLSerializer


# MOCKUP FUNCTIONS
def encrypt(data: bytes) -> bytes:
    """Placeholder mock encryption service."""
    return data


# MAIN DEFINITION
def main() -> None:

    # [1] Prepare some files
    file_1 = fr"cache\test.yaml"
    file_2 = fr"cache\test.bin"

    # [2] Convert to binary for middleman services ( ex. encryption )
    data        = YAMLSerializer().load(file_1)
    encoded     = YAMLSerializer().encode(data)
    encrypted   = encrypt(encoded)

    # [3] Serialize the modified data using the same serializer
    YAMLSerializer().serialize(encrypted, file_2)


# ENTRY POINT
if __name__ == "__main__":
    main()

Example - manipulating nested datasets :

# IMPORTS
from swiftserialize import YAMLSerializer


# MAIN DEFINITION
def main() -> None:

    # [1] Prepare a file
    file = fr"cache\test.yaml"

    # [2] Nested datasets can be conveniently "unpacked" into single key-value pairs
    original:   dict = YAMLSerializer().load(file)
    unpacked:   dict = YAMLSerializer().unpack(file)

    # [3] Nesting operations can be done directly with Python dicts
    flattened:  dict = YAMLSerializer().flatten(original)
    folded:     dict = YAMLSerializer().fold(flattened)

    print(original)
    print(unpacked)
    print(flattened)
    print(folded)

    # [4] Keys for flattened datasets are represented as tuples
    value = flattened.get(('KEY', 'SUB-KEY'))
    print(value)


# ENTRY POINT
if __name__ == "__main__":
    main()

Installation

Prerequisites:

• Python 3.8 or higher is recommended

• pip 24.0 or higher is recommended

For a pip installation:

Open a new Command Prompt. Run the following command:

py -m pip install swiftserialize

For a local installation:

Extract the contents of this module to a safe location. Open a new terminal and navigate to the top level directory of your project. Run the following command:

py -m pip install "DIRECTORY_HERE\swiftserialize\dist\swiftserialize-1.0.0.tar.gz"

• DIRECTORY_HERE should be replaced with the complete filepath to the folder where you saved the SwiftSerialize module contents.

• Depending on the release of SwiftSerialize you’ve chosen, you may have to change 1.0.0 to reflect your specific version.