gmdbuilder 0.2.1

A General-Purpose Geometry Dash framework for safe and easy level editing and scripting

gmdbuilder

A type-safe general-purpose Python framework for Geometry Dash level editing and scripting.

gmdbuilder lets you:

• Read & write GD levels
• Autoscan to protect against bugs (property types/ranges, spawn limit, no empty triggers, etc.)
• Work directly with triggers, groups, and objects - and choose your own abstractions
• Use pre-built systems and templates to accelerate development
• Know exactly what's happening in your scripts

gmdbuilder is developed in collaboration with HDanke, the creator of gmdkit (a dependency of this framework) and his unofficial GD Editor Docs.

Documentation (WIP)

(No overengineered language was made in the making of this project)

Why Python?

Python fits surprisingly well as a language for GD scripting:

• Exceptionally good at building/verifying dictionaries (which all GD objects are)
• Operator overloading for counters and other special logic
• Any programming paradigm that you want is well supported
• Reliable type system with good debugger/type-checker tooling
• Huge package ecosystem

Installation

Install the latest release from PyPI:

pip install gmdbuilder

Install the latest development version from GitHub:

pip install git+https://github.com/LXtreme/gmdbuilder.git

Getting Started

from gmdbuilder import level

# From .gmd file, supports full object editing/deleting
level.from_file("example.gmd")

# From WSLiveEditor, only supports adidng objects
level.from_live_editor()

obj_list = level.objects # mutations are validated

# Object properties are in the form { "a<key number>": value }
repr(obj_list[1])

from gmdbuilder import obj_prop   # property key str Literals
from gmdbuilder import enum       # enum values for object properties
from gmdbuilder import obj_id     # object ID int Literals

# Similar to 'next' button in the editor.
a = level.new.group()

from gmdbuilder import is_obj_type, is_obj_id, from_object_string, new_obj
import gmdbuilder.object_types as td # TypedDict dictionaries

ppt = obj_prop.Trigger

for obj in obj_list:
    # is_obj_id and is_obj_type are both TypeGuards. 
    # Allows editing generic object lists to be done fully type-safe
    if is_obj_id(obj, obj_id.Trigger.MOVE):
        obj[obj_prop.GROUPS] = { a }
        obj[ppt.Move.EASING] = obj_enum.Easing.NONE
    if is_obj_type(obj, td.MoveType):
        obj[ppt.Move.USE_SMALL_STEP] = True


filter = {
    obj_prop.ID: obj_id.Trigger.COUNT
    obj_prop.GROUPS: { 15 }
}
obj_list.delete_where(filter)
obj_list.delete_where(lambda obj: obj[ObjProp.ID] == 1)


# CountType is a typed_dict, allowing per-field static type checking
# Translates to { a1: 1611, a2: 50, a3: 45 }
object = from_object_string("1,1611,2,50,3,45;", obj_type=td.CountType)
object[ppt.Count.ACTIVATE_GROUP] = True
object[ppt.Count.TARGET_ID] = a
object["a2"] = 50 # also validated and provides type info

move = new_obj(obj_id.Trigger.MOVE)   # casts to MoveType typed_dict automatically
instant_count = new_obj(1611)         # casts to InstantCountType typed_dict

obj_list.append(object)
obj_list.extend([move, instant_count])

# Export object edits, deletions and additions
# Added objects recieve the tag_group
level.export_to_file(file_path="example_updated.gmd")
level.export_to_live_editor()