crystal-projector 0.1.0

Manipulate Crystal Project game data.

Crystal Projector

This is a library for manipulating data structures in the video game Crystal Project. This currently can read:

• World files
• Database files
• Texture packs
• Save files
• Mod files

This will hopefully soon be able to modify and write out the above, as well as read additional things, like logfiles.

Using Crystal Projector as a Set of Schemas

JSON Files

The JSON Schema formats for each Crystal Project format can be found in schema/json.

Binary files

The Kaitai Struct formats for Crystal Project's .dat and .sav files can be found in schema/ksy.

Using Crystal Projector as a Python Library

You will need Python, version 3.8 or later.

To install Crystal Projector:

python3 -m pip install --upgrade --pre git+https://github.com/kaitai-io/kaitai_struct_python_runtime.git
python3 -m pip install crystal-projector

Then you can invoke it with:

crystal-projector --help

And use it in Python scripts like so:

import crystal_projector

image = crystal_projector.world.visualize_world_map(input("enter your Crystal Project 'Content' folder:"), "field")
image.save("map.png")

Developing Crystal Projector

Dependencies

Kaitai Struct

You need Kaitai Struct and its Python bindings, latest nightly.

KSC has some issues with Python:

• No type annotations.
• It imports sub-KSY file dependencies incorrectly; import X should be from . import X.
• It does not stop keywords from being used as names.

The latter two are fixed by us.

Quicktype

We use Quicktype; you'll need its NPM package. However, Quicktype also has issues:

• No support for integer enums; if you omit type: integer from such enums, Quicktype crashes.
• Does not support multi-file $refs in a smart manner.

Python packages

• kaitaistruct: Do NOT pull this from PyPI. Do this instead:

  python3 -m pip install --upgrade --pre git+https://github.com/kaitai-io/kaitai_struct_python_runtime.git
  

• Pillow: For PIL.

For developing and testing:

• pre-commit.
• pyyaml: For yaml.
• jsonschema.

Installing the Project

python3 -m pip install -e .[dev, test]
pre-commit install

Building the Project

python3 build_schemas.py

Distributing the Project

python3 -m build