Skip to main content

A powerful Minecraft command library

Project description

logo

Mecha

GitHub Actions PyPI PyPI - Python Version Code style: black Discord

A powerful Minecraft command library.

from mecha import Mecha

mc = Mecha()

function = """
    execute
        as @a                        # For each "player",
        at @s                        # start at their feet.
        anchored eyes                # Looking through their eyes,
        facing 0 0 0                 # face perfectly at the target
        anchored feet                # (go back to the feet)
        positioned ^ ^ ^1            # and move one block forward.
        rotated as @s                # Face the direction the player
                                     # is actually facing,
        positioned ^ ^ ^-1           # and move one block back.
        if entity @s[distance=..0.6] # Check if we're close to the
                                     # player's feet.
        run
            say I'm facing the target!
"""

ast = mc.parse(function, multiline=True)
print(mc.serialize(ast))  # execute as @a at @s anchored eyes facing ...

Introduction

This package provides everything you need for working with Minecraft commands in Python, whether you're looking to process commands or build abstractions on top.

Features

  • Extensible and version-agnostic mcfunction parser
  • Clean, immutable and hashable abstract syntax tree with source location
  • Command config resolver that flattens and enumerates all the valid command prototypes
  • Powerful rule dispatcher for processing specific ast nodes
  • Composable ast visitors and reducers
  • Comes with useful syntactic extensions like relative locations, nesting and implicit execute
  • Compile-time scripting with a subset of Python integrated into command syntax
  • Rich function analyzer for keeping track of command statistics
  • Execute arbitrary compilation passes in your beet pipeline
  • (soon) Expressive command API for writing commands in Python

Credits

Installation

The package can be installed with pip.

$ pip install mecha

Command-line utility

$ mecha --help
Usage: mecha [OPTIONS] [SOURCE]...

  Validate data packs and .mcfunction files.

Options:
  -m, --minecraft VERSION  Minecraft version.
  -l, --log LEVEL          Configure output verbosity.
  -s, --stats              Collect statistics.
  -j, --json FILENAME      Output json.
  -v, --version            Show the version and exit.
  -h, --help               Show this message and exit.

You can use the command-line utility to check data packs and function files for errors. The command arguments can be zipped and unzipped data packs, individual function files, and if you specify a directory that's not a data pack it will recursively grab all the .mcfunction files in the directory. You can use the --minecraft option to select between versions 1.16, 1.17, and 1.18.

$ mecha path/to/my_data_pack
Validating with mecha vX.X.X

ERROR  | mecha  Expected curly '}' but got bracket ']'.
       | path/to/my_data_pack/data/demo/functions/foo.mcfunction:5:34
       |      4 |
       |      5 |  say hello @a[scores={foo=1, bar=2]
       |        :                                   ^

Error: Reported 1 error.

The --stats option will output a report that shows how many commands, selectors and scoreboards were used. You can also use the --json option to output the raw statistics in a json file.

INFO   | stats  Analyzed 1 function
       | -------------------------------------------------------------------------------
       | Total commands (1 behind execute)                                      |      4
       | -------------------------------------------------------------------------------
       |        /scoreboard                                                     |      3
       |                    objectives add <objective> <criteria>               |      1
       |                    players set <targets> <objective> <score>           |      1
       |                    players operation <targets> <targetObjective> <o... |      1
       |        /setblock (1 behind execute)                                    |      1
       |        /execute                                                        |      1
       |                 if score <target> <targetObjective> matches <range>... |      1
       |                 as <targets> <subcommand>                              |      1
       |                 run <subcommand>                                       |      1
       | -------------------------------------------------------------------------------
       | Total selectors                                                        |      3
       | -------------------------------------------------------------------------------
       |        @e                                                              |      2
       |           [tag]                                                        |      2
       |           [scores]                                                     |      1
       |        @s                                                              |      1
       |        @e with missing or inverted type                                |      2
       | -------------------------------------------------------------------------------
       | Scoreboard objectives                                                  |      2
       | -------------------------------------------------------------------------------
       |        my_consts (dummy)                                               |      3
       |                  10                                                    |      2
       |        foo                                                             |      3

Github action

You can use mecha to check your data packs and function files for errors without having to install anything using the mcbeet/check-commands github action.

# .github/workflows/check-commands.yml
name: Check commands
on: [push]

jobs:
  check:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - uses: mcbeet/check-commands@v1
        with:
          source: .

This allows you to make sure that your commands don't contain any error when you push to your repository. For more details check out the action README.

Contributing

Contributions are welcome. Make sure to first open an issue discussing the problem or the new feature before creating a pull request. The project uses poetry.

$ poetry install

You can run the tests with poetry run pytest.

$ poetry run pytest

The project must type-check with pyright. If you're using VSCode the pylance extension should report diagnostics automatically. You can also install the type-checker locally with npm install and run it from the command-line.

$ npm run watch
$ npm run check

The code follows the black code style. Import statements are sorted with isort.

$ poetry run isort mecha tests
$ poetry run black mecha tests
$ poetry run black --check mecha tests

License - MIT

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mecha-0.27.1.tar.gz (88.6 kB view details)

Uploaded Source

Built Distribution

mecha-0.27.1-py3-none-any.whl (102.2 kB view details)

Uploaded Python 3

File details

Details for the file mecha-0.27.1.tar.gz.

File metadata

  • Download URL: mecha-0.27.1.tar.gz
  • Upload date:
  • Size: 88.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.9

File hashes

Hashes for mecha-0.27.1.tar.gz
Algorithm Hash digest
SHA256 b97383655bd11a4a015ed1f1c4bf4a2927bc48960b1cc372c009992be173f01c
MD5 58e8f325f564597bbd299933d0de81f6
BLAKE2b-256 57dd4688f65b2d9ec31b3bc8a9b4b6e485f437179fcc13c34dfe2a7271ed2ad7

See more details on using hashes here.

File details

Details for the file mecha-0.27.1-py3-none-any.whl.

File metadata

  • Download URL: mecha-0.27.1-py3-none-any.whl
  • Upload date:
  • Size: 102.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.9

File hashes

Hashes for mecha-0.27.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5e7ad1aaac89c8d87444b432002193190ec9dc95a79917229422695db9693063
MD5 4012f08faf06c19db08b1cda87b0b975
BLAKE2b-256 58a87b1fce5b12af3516abff87bd6d69c5dcba04fbe7b569bf529ee71982e1e8

See more details on using hashes here.

Supported by

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