NOTE: This ReadMe is unfinished and still in progress

Wrapper for vberlier/mcpack, also requires python 3.7

from mcpacker import DataPacker

pack = DataPacker('my_pack', 'My description.')

pack.dump()

Using python 3.8 or high, it can be installed with pip

Currently only available from the TestPyPi instance of the Python Package Index

pip install -i https://test.pypi.org/simple/ mcpacker

• When setting items, the pack's name will be used as the namespace when no namespace is given:

  pack['say_hi'] = Function('say Hi!')

  is equivalent to

  pack[f'{pack.name}:say_hi'] = Function('say Hi!')

Introducing separation of code and data

Package will try to load JSON data from ./data/{pack.name}.json into pack.data. If it fails, pack.data will be an empty dictionary.

Structure (each root item is optional):

• dependencies: list of other data packs upon which pack is based. details
• scoreboards: list of scoreboards
  • each scoreboard has the form: name criteria (display)
  • display is optional
• functions: list of function by relative path
• function_code: verbatim code for functions
• function_templates: (in progress)
• options: (in progress)
• recipe_advancement: (in progress)
• recipes: list of recipes

Example:

{
    "dependencies": [
        "another_pack"
    ],
    "scoreboards": [
        "my_score dummy {\"text\":\"My Score\"}",
        "my_trigger trigger"
    ]
}

Details coming soon ...

(in progress)

Functions load and tick are created automatically (if not empty)