1 unstable release
0.1.0 | Oct 25, 2022 |
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#1 in #wot
165KB
3.5K
SLoC
WG Toolkit
Toolkit crate providing various implementations for codecs distributed by Wargaming.net. These codecs are part of the Core engine (previously known as BigWorld) notably used by World of Tanks. This crate also provides an implementation of the network protocol.
Library
- Crate page
- Crate documentation
- Packed XML codec
- Deserialization
- Serialization
- Tank model codec
- Deserialization of visual tree
- Deserialization of vertices/indices
- Compiled space codec (WIP)
- Deserialization of some sections
- BWTB (header table)
- BWST (string table)
- BWT2 (terrain2)
- BWSG (static geometry)
- BWCS (compiled space settings)
- BWAL (asset list)
- Deserialization of some sections
- Network protocol (WIP, feature
network
)- Packets encoding and decoding (partial flags support)
- Appending elements to bundles
- Assemble received packet in bundles
- Iterate elements in a bundle
- PLANNED Game's resource file system (automatic opening of packages)
CLI
- Crate page
- Packed XML
- Deserialization and display
- Value editing (string, integer, boolean, float)
Contributing guidelines
When contributing to the code base, some rules should be followed:
- Each major feature should have its own directory module;
- Each side-feature, used internally by core features should be located under
util
module in its own file module. - When working on a custom reader and/or writer, but only implement one of the two, please anticipate how your module would be built with both implemented;
- Catch all errors and forward them toward the public interface;
- Custom error types should all be defined using
thiserror::Error
derivation; - When working on a custom reader and/or writer that doesn't provide lazy read/write operations, please make simple public functions that directly output, like
from_reader(reader: impl Read)
orto_writer(writer: impl Write)
.
Credits
Thanks to SkepticalFox for wot-space.bin-utils python library, which directly inspired this crate.
Thanks to SkaceKamen for wot-model-converter python library, for its open-source work on processed model file format.
Dependencies
~4.5MB
~102K SLoC