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Read and write Valve's KeyValues3 format

Project description

keyvalues3

KeyValues3 is a Valve developed data format. It is similar in structure to JSON, but supports binary encodings, versioning, and data annotations. The text syntax also has some minor ergonomic improvements (support for single- and multi-line comments, trailing commas, and multi-line strings.)

Usage

import keyvalues3 as kv3
bt_config = kv3.read("tests/documents/bt_config.kv3")

>>> bt_config.keys()
dict_keys(['default', 'low', 'fair', 'normal', 'tough', 'hard', 'very_hard', 'expert', 'elite'])

>>> bt_config["elite"]["reaction_time"]
0.12
# The root value is most of the time a dict
>>> type(bt_config.value)
<class 'dict'>

>>> bt_config.original_encoding
Encoding(name='text', version=UUID('e21c7f3c-8a33-41c5-9977-a76d3a32aa0d'))

>>> bt_config.format
Format(name='generic', version=UUID('7412167c-06e9-4698-aff2-e63eb59037e7'))

# To write it back
>>> kv3.write(bt_config, "tests/documents/bt_config.kv3", use_original_encoding=True)

# Write to a stream
>>> import sys
>>> kv3.write({"key": [1,2,3]}, sys.stdout)
<!-- kv3 encoding:text:version{e21c7f3c-8a33-41c5-9977-a76d3a32aa0d} format:generic:version{7412167c-06e9-4698-aff2-e63eb59037e7} -->
{
        key = [1, 2, 3]
}

Install PyPI version

pip install keyvalues3

Supported encodings

Encoding 👩‍💻 Read 📖 Write ✍️
Text UTF-8 Yes ✔️ Yes ✔️
Text UTF-8 Headerless Yes ✔️ Yes ✔️
Binary Uncompressed No ⛔ Yes ✔️
Binary LZ4 No ⛔ Yes ✔️
Binary (Other newer) No ⛔ No ⛔

Using dataclasses

Dataclasses (marked with @dataclass) are also supported for serialization (uses asdict())

@dataclass
class RenderMeshFile(_Node):  # _Node defines _class, name, notes, and children (+ helper methods)
    filename: resourcepath = ""
    import_translation: list[float] = field(default_factory=lambda: [0, 0, 0])
    import_rotation: list[float] = field(default_factory=lambda: [0, 0, 0])
    import_scale: float = 1.0
    align_origin_x_type: str = "None"
    align_origin_y_type: str = "None"
    align_origin_z_type: str = "None"
    parent_bone: namelink = ""
    import_filter: dict = field(
        default_factory=lambda:dict(
            exclude_by_default = False,
            exception_list = [  ]
        )
    )

You can find more ModelDoc dataclasses here.

Credits

Valve Corporation® for making KeyValues3.
ValveResourceFormat for reverse engineering the binary formats.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page