basic ECS spawner

This commit is contained in:
2026-01-15 15:27:48 +01:00
parent 24a781f36a
commit eb737b469c
860 changed files with 58621 additions and 32 deletions

View File

@@ -0,0 +1,191 @@
class_name ArrayExtensions
## Intersects two arrays of entities.[br]
## In common terms, use this to find items appearing in both arrays.
## [param array1] The first array to intersect.[br]
## [param array2] The second array to intersect.[br]
## [b]return Array[/b] The intersection of the two arrays.
static func intersect(array1: Array, array2: Array) -> Array:
# Optimize by using the smaller array for lookup
if array1.size() > array2.size():
return intersect(array2, array1)
# Use dictionary for O(1) lookup instead of O(n) Array.has()
var lookup := {}
for entity in array2:
lookup[entity] = true
var result: Array = []
for entity in array1:
if lookup.has(entity):
result.append(entity)
return result
## Unions two arrays of entities.[br]
## In common terms, use this to combine items without duplicates.[br]
## [param array1] The first array to union.[br]
## [param array2] The second array to union.[br]
## [b]return Array[/b] The union of the two arrays.
static func union(array1: Array, array2: Array) -> Array:
# Use dictionary to track uniqueness for O(1) lookups
var seen := {}
var result: Array = []
# Add all from array1
for entity in array1:
if not seen.has(entity):
seen[entity] = true
result.append(entity)
# Add unique items from array2
for entity in array2:
if not seen.has(entity):
seen[entity] = true
result.append(entity)
return result
## Differences two arrays of entities.[br]
## In common terms, use this to find items only in the first array.[br]
## [param array1] The first array to difference.[br]
## [param array2] The second array to difference.[br]
## [b]return Array[/b] The difference of the two arrays (entities in array1 not in array2).
static func difference(array1: Array, array2: Array) -> Array:
# Use dictionary for O(1) lookup instead of O(n) Array.has()
var lookup := {}
for entity in array2:
lookup[entity] = true
var result: Array = []
for entity in array1:
if not lookup.has(entity):
result.append(entity)
return result
## systems_by_group is a dictionary of system groups and their systems
## { "Group1": [SystemA, SystemB], "Group2": [SystemC, SystemD] }
static func topological_sort(systems_by_group: Dictionary) -> void:
# Iterate over each group key in 'systems_by_group'
for group in systems_by_group.keys():
var systems = systems_by_group[group]
# If the group has 1 or fewer systems, no sorting is needed
if systems.size() <= 1:
continue
# Create two data structures:
# 1) adjacency: stores, for a given system, which systems must come after it
# 2) indegree: tracks how many "prerequisite" systems each system has
var adjacency = {}
var indegree = {}
var wildcard_front = []
var wildcard_back = []
for s in systems:
adjacency[s] = []
indegree[s] = 0
# Build adjacency and indegree counts based on dependencies returned by s.deps()
for s in systems:
var deps_dict = s.deps()
# Check for Runs.Before array on s
# If present, each item in s.Runs.Before means "s must run before that item"
# So we add the item to adjacency[s], and increment the item's indegree
# If item is null or ECS.wildcard, we treat it as "run before everything" by pushing 's' onto wildcard_front
if deps_dict.has(System.Runs.Before):
for b in deps_dict[System.Runs.Before]:
if b == null:
# ECS.wildcard AKA 'null' means s should run before all systems
wildcard_front.append(s)
else:
# Find system instance that matches the dependency type
var target_system = _find_system_by_type(systems, b)
if target_system:
# Normal dependency within the group
adjacency[s].append(target_system)
indegree[target_system] += 1
# Check for Runs.After array on s
# If present, each item in s.Runs.After means "s must run after that item"
# So we add 's' to adjacency[item], and increment s's indegree
# If item is null or ECS.wildcard, we treat it as "run after everything" by pushing 's' onto wildcard_back
if deps_dict.has(System.Runs.After):
for a in deps_dict[System.Runs.After]:
if a == null:
# ECS.wildcard AKA 'null' means s should run after all systems
wildcard_back.append(s)
else:
# Find system instance that matches the dependency type
var dependency_system = _find_system_by_type(systems, a)
if dependency_system:
# Normal dependency within the group
adjacency[dependency_system].append(s)
indegree[s] += 1
# Kahn's Algorithm begins:
# 1) Insert all systems with zero indegree into a queue
# 2) Pop from the queue, add to sorted_result
# 3) Decrement indegree for each adjacent system
# 4) Any adjacent system that reaches zero indegree is appended to the queue
var queue = []
# Adjust for wildcard_front and wildcard_back:
# wildcard_front: s runs before everything -> point s -> other
for w in wildcard_front:
for other in systems:
if other != w and not adjacency[w].has(other):
adjacency[w].append(other)
indegree[other] += 1
# wildcard_back: s runs after everything -> point other -> s
for w in wildcard_back:
for other in systems:
if other != w and not adjacency[other].has(w):
adjacency[other].append(w)
indegree[w] += 1
# Collect all systems with zero indegree into the queue as our starting point
for s in systems:
if indegree[s] == 0:
queue.append(s)
var sorted_result = []
# While there are systems with no remaining prerequisites
while queue.size() > 0:
var current = queue.pop_front()
# Add that system to the sorted list
sorted_result.append(current)
# For each system that depends on 'current'
for nxt in adjacency[current]:
# Decrement its indegree because 'current' is now accounted for
indegree[nxt] -= 1
# If it has no more prerequisites, add it to the queue
if indegree[nxt] == 0:
queue.append(nxt)
# If we successfully placed all systems, overwrite the original array with sorted_result
if sorted_result.size() == systems.size():
systems_by_group[group] = sorted_result
else:
assert(
false,
(
"Topological sort failed for group '%s'. Possible cycle or mismatch in dependencies."
% group
)
)
# Otherwise, we found a cycle or mismatch. Fallback to the original unsorted array
systems_by_group[group] = systems
# The function modifies 'systems_by_group' in-place with a topologically sorted order
## Helper function to find a system instance by its type/class
static func _find_system_by_type(systems: Array, target_type) -> System:
for system in systems:
# Check if the system is an instance of the target type
if system.get_script() == target_type:
return system
# Also check class name matching for backward compatibility
if system.get_script() and system.get_script().get_global_name() == str(target_type).get_file().get_basename():
return system
return null

View File

@@ -0,0 +1 @@
uid://h7vbvqjotxmf

View File

@@ -0,0 +1,108 @@
## ComponentQueryMatcher
## Static utility for matching components against query criteria.
## Used by QueryBuilder and Relationship systems for consistent component filtering.
##
## Supports comparison operators (_gt, _lt, _eq), array membership (_in, _nin),
## and custom functions for property-based filtering.
##
## [b]Query Operators:[/b]
## [br]• [b]_eq:[/b] Equal [code]property == value[/code]
## [br]• [b]_ne:[/b] Not equal [code]property != value[/code]
## [br]• [b]_gt:[/b] Greater than [code]property > value[/code]
## [br]• [b]_lt:[/b] Less than [code]property < value[/code]
## [br]• [b]_gte:[/b] Greater or equal [code]property >= value[/code]
## [br]• [b]_lte:[/b] Less or equal [code]property <= value[/code]
## [br]• [b]_in:[/b] In array [code]property in [values][/code]
## [br]• [b]_nin:[/b] Not in array [code]property not in [values][/code]
## [br]• [b]func:[/b] Custom function [code]func(property) -> bool[/code]
##
## [codeblock]
## var component = C_Health.new(75)
## var query = {"health": {"_gte": 50, "_lte": 100}}
## var matches = ComponentQueryMatcher.matches_query(component, query)
##
## # Custom functions
## var func_query = {"level": {"func": func(level): return level >= 40}}
##
## # Array membership
## var type_query = {"type": {"_in": ["fire", "ice"]}}
## [/codeblock]
class_name ComponentQueryMatcher
extends RefCounted
## Checks if a component matches the given query criteria.
## All query operators must pass for the component to match.
##
## [param component]: The [Component] to evaluate
## [param query]: Dictionary mapping property names to operator dictionaries
## [return]: [code]true[/code] if all criteria match, [code]false[/code] otherwise
##
## Returns [code]true[/code] for empty queries. Returns [code]false[/code] if any
## property doesn't exist or any operator fails.
static func matches_query(component: Component, query: Dictionary) -> bool:
if query.is_empty():
return true
for property in query:
# Check if property exists (can't use truthiness check because 0, false, etc. are valid values)
if not property in component:
return false
var property_value = component.get(property)
var property_query = query[property]
for operator in property_query:
match operator:
"func":
if not property_query[operator].call(property_value):
return false
"_eq":
if property_value != property_query[operator]:
return false
"_gt":
if property_value <= property_query[operator]:
return false
"_lt":
if property_value >= property_query[operator]:
return false
"_gte":
if property_value < property_query[operator]:
return false
"_lte":
if property_value > property_query[operator]:
return false
"_ne":
if property_value == property_query[operator]:
return false
"_nin":
if property_value in property_query[operator]:
return false
"_in":
if not (property_value in property_query[operator]):
return false
return true
## Separates component types from query dictionaries in a mixed array.
## Used by QueryBuilder to process component lists that may contain queries.
##
## [param components]: Array of [Component] classes and/or query dictionaries
## [return]: Dictionary with [code]"components"[/code] and [code]"queries"[/code] arrays
##
## Regular components get empty query dictionaries. Query dictionaries are
## split into their component type and criteria.
static func process_component_list(components: Array) -> Dictionary:
var result := {"components": [], "queries": []}
for component in components:
if component is Dictionary:
# Handle component query case
for component_type in component:
result.components.append(component_type)
result.queries.append(component[component_type])
else:
# Handle regular component case
result.components.append(component)
result.queries.append({}) # Empty query for regular components (matches all)
return result

View File

@@ -0,0 +1 @@
uid://beqw44pppbpl

View File

@@ -0,0 +1,26 @@
class_name GecsSettings
extends Node
const SETTINGS_LOG_LEVEL = "gecs/settings/log_level"
const SETTINGS_DEBUG_MODE = "gecs/settings/debug_mode"
const project_settings = {
"log_level":
{
"path": SETTINGS_LOG_LEVEL,
"default_value": GECSLogger.LogLevel.ERROR,
"type": TYPE_INT,
"hint": PROPERTY_HINT_ENUM,
"hint_string": "TRACE,DEBUG,INFO,WARNING,ERROR",
"doc": "What log level GECS should log at.",
},
"debug_mode":
{
"path": SETTINGS_DEBUG_MODE,
"default_value": false,
"type": TYPE_BOOL,
"hint": PROPERTY_HINT_NONE,
"hint_string": "",
"doc": "Enable debug mode for GECS operations. Enables editor debugger integration but impacts performance significantly.",
}
}

View File

@@ -0,0 +1 @@
uid://buvg6dnpqcnys

90
addons/gecs/lib/logger.gd Normal file
View File

@@ -0,0 +1,90 @@
## Simplified Logger for GECS
class_name GECSLogger
extends RefCounted
const disabled := true
enum LogLevel {TRACE, DEBUG, INFO, WARNING, ERROR}
var current_level: LogLevel = ProjectSettings.get_setting(GecsSettings.SETTINGS_LOG_LEVEL, LogLevel.ERROR)
var current_domain: String = ""
func set_level(level: LogLevel):
current_level = level
func domain(domain_name: String) -> GECSLogger:
current_domain = domain_name
return self
func log(level: LogLevel, msg = ""):
if disabled:
return
var level_name: String
if level >= current_level:
match level:
LogLevel.TRACE:
level_name = "TRACE"
LogLevel.DEBUG:
level_name = "DEBUG"
LogLevel.INFO:
level_name = "INFO"
LogLevel.WARNING:
level_name = "WARNING"
LogLevel.ERROR:
level_name = "ERROR"
_:
level_name = "UNKNOWN"
print("%s [%s]: %s" % [current_domain, level_name, msg])
func trace(msg = "", arg1 = null, arg2 = null, arg3 = null, arg4 = null, arg5 = null):
self.log(LogLevel.TRACE, concatenate_msg_and_args(msg, arg1, arg2, arg3, arg4, arg5))
func debug(msg = "", arg1 = null, arg2 = null, arg3 = null, arg4 = null, arg5 = null):
self.log(LogLevel.DEBUG, concatenate_msg_and_args(msg, arg1, arg2, arg3, arg4, arg5))
func info(msg = "", arg1 = null, arg2 = null, arg3 = null, arg4 = null, arg5 = null):
self.log(LogLevel.INFO, concatenate_msg_and_args(msg, arg1, arg2, arg3, arg4, arg5))
func warning(msg = "", arg1 = null, arg2 = null, arg3 = null, arg4 = null, arg5 = null):
self.log(LogLevel.WARNING, concatenate_msg_and_args(msg, arg1, arg2, arg3, arg4, arg5))
func error(msg = "", arg1 = null, arg2 = null, arg3 = null, arg4 = null, arg5 = null):
self.log(LogLevel.ERROR, concatenate_msg_and_args(msg, arg1, arg2, arg3, arg4, arg5))
## Concatenates all given args into one single string, in consecutive order starting with 'msg'.[br]
## Stolen from Loggie
static func concatenate_msg_and_args(
msg: Variant,
arg1: Variant = null,
arg2: Variant = null,
arg3: Variant = null,
arg4: Variant = null,
arg5: Variant = null,
arg6: Variant = null
) -> String:
var final_msg = convert_to_string(msg)
var arguments = [arg1, arg2, arg3, arg4, arg5, arg6]
for arg in arguments:
if arg != null:
final_msg += (" " + convert_to_string(arg))
return final_msg
## Converts [param something] into a string.[br]
## If [param something] is a Dictionary, uses a special way to convert it into a string.[br]
## You can add more exceptions and rules for how different things are converted to strings here.[br]
## Stolen from Loggie
static func convert_to_string(something: Variant) -> String:
var result: String
if something is Dictionary:
result = JSON.new().stringify(something, " ", false, true)
else:
result = str(something)
return result

View File

@@ -0,0 +1 @@
uid://betmoqpwcq0wc

321
addons/gecs/lib/set.gd Normal file
View File

@@ -0,0 +1,321 @@
## Set is Mathematical set data structure for collections of unique values.[br]
##
## Built on Dictionary for O(1) membership testing. Used throughout GECS for
## entity filtering and component indexing.
##
## Supports standard set operations like union, intersection, and difference.
## No inherent ordering - elements are stored by hash.
##
## [codeblock]
## var numbers = Set.new([1, 2, 3, 4, 5])
## numbers.add(6)
## print(numbers.has(3)) # true
##
## var set_a = Set.new([1, 2, 3, 4])
## var set_b = Set.new([3, 4, 5, 6])
## var intersection = set_a.intersect(set_b) # [3, 4]
## [/codeblock]
class_name Set
extends RefCounted
## Internal storage using Dictionary keys for O(1) average-case operations.
## Values in the dictionary are always [code]true[/code] and ignored.
var _data: Dictionary = {}
## Initializes a new Set from Array, Dictionary keys, or another Set.
## [param data]: Optional initial data. Duplicates are automatically removed.
func _init(data = null) -> void:
if data:
if data is Array:
# Add array elements, automatically deduplicating
for value in data:
_data[value] = true
elif data is Set:
# Copy from another set
for value in data._data.keys():
_data[value] = true
elif data is Dictionary:
# Use dictionary keys as set elements
for key in data.keys():
_data[key] = true
#region Basic Set Operations
## Adds a value to the set. Has no effect if the value is already present.
## [param value]: The value to add to the set. Can be any hashable type.
##
## [b]Time Complexity:[/b] O(1) average case
## [codeblock]
## var my_set = Set.new([1, 2, 3])
## my_set.add(4) # Set now contains [1, 2, 3, 4]
## my_set.add(2) # No change, 2 already exists
## [/codeblock]
func add(value) -> void:
_data[value] = true
## Removes a value from the set. Has no effect if the value is not present.
## [param value]: The value to remove from the set
##
## [b]Time Complexity:[/b] O(1) average case
## [codeblock]
## var my_set = Set.new([1, 2, 3, 4])
## my_set.erase(3) # Set now contains [1, 2, 4]
## my_set.erase(5) # No change, 5 doesn't exist
## [/codeblock]
func erase(value) -> void:
_data.erase(value)
## Tests whether a value exists in the set.
## [param value]: The value to test for membership
## [return]: [code]true[/code] if the value exists in the set, [code]false[/code] otherwise
##
## [b]Time Complexity:[/b] O(1) average case
## [codeblock]
## var my_set = Set.new(["apple", "banana", "cherry"])
## print(my_set.has("banana")) # true
## print(my_set.has("grape")) # false
## [/codeblock]
func has(value) -> bool:
return _data.has(value)
## Removes all elements from the set, making it empty.
## [b]Time Complexity:[/b] O(1)
## [codeblock]
## var my_set = Set.new([1, 2, 3, 4, 5])
## my_set.clear()
## print(my_set.is_empty()) # true
## [/codeblock]
func clear() -> void:
_data.clear()
## Returns the number of elements in the set.
## [return]: Integer count of unique elements in the set
##
## [b]Time Complexity:[/b] O(1)
## [codeblock]
## var my_set = Set.new(["a", "b", "c", "a", "b"]) # Duplicates ignored
## print(my_set.size()) # 3
## [/codeblock]
func size() -> int:
return _data.size()
## Tests whether the set contains no elements.
## [return]: [code]true[/code] if the set is empty, [code]false[/code] otherwise
##
## [b]Time Complexity:[/b] O(1)
## [codeblock]
## var empty_set = Set.new()
## var filled_set = Set.new([1, 2, 3])
## print(empty_set.is_empty()) # true
## print(filled_set.is_empty()) # false
## [/codeblock]
func is_empty() -> bool:
return _data.is_empty()
## Returns all elements in the set as an Array.
## The order of elements is not guaranteed and may vary between calls.
## [return]: Array containing all set elements
##
## [b]Time Complexity:[/b] O(n) where n is the number of elements
## [codeblock]
## var my_set = Set.new([3, 1, 4, 1, 5])
## var elements = my_set.values() # [1, 3, 4, 5] (order may vary)
## [/codeblock]
func values() -> Array:
return _data.keys()
#endregion
#region Set Algebra Operations
## Returns the union of this set with another set (A B).
## Creates a new set containing all elements that exist in either set.
## [param other]: The other set to union with
## [return]: New [Set] containing all elements from both sets
##
## [b]Time Complexity:[/b] O(|A| + |B|) where |A| and |B| are set sizes
## [codeblock]
## var set_a = Set.new([1, 2, 3])
## var set_b = Set.new([3, 4, 5])
## var union_set = set_a.union(set_b) # Contains [1, 2, 3, 4, 5]
## [/codeblock]
func union(other: Set) -> Set:
var result = Set.new()
result._data = _data.duplicate()
for key in other._data.keys():
result._data[key] = true
return result
## Returns the intersection of this set with another set (A ∩ B).
## Creates a new set containing only elements that exist in both sets.
## Automatically optimizes by iterating over the smaller set.
## [param other]: The other set to intersect with
## [return]: New [Set] containing elements common to both sets
##
## [b]Time Complexity:[/b] O(min(|A|, |B|)) - optimized for smaller set
## [codeblock]
## var set_a = Set.new([1, 2, 3, 4])
## var set_b = Set.new([3, 4, 5, 6])
## var intersection = set_a.intersect(set_b) # Contains [3, 4]
## [/codeblock]
func intersect(other: Set) -> Set:
# Optimization: iterate over smaller set for better performance
if other.size() < _data.size():
return other.intersect(self )
var result = Set.new()
for key in _data.keys():
if other._data.has(key):
result._data[key] = true
return result
## Returns the difference of this set minus another set (A - B).
## Creates a new set containing elements in this set but not in the other.
## [param other]: The set whose elements to exclude
## [return]: New [Set] containing elements only in this set
##
## [b]Time Complexity:[/b] O(|A|) where |A| is the size of this set
## [codeblock]
## var set_a = Set.new([1, 2, 3, 4])
## var set_b = Set.new([3, 4, 5, 6])
## var difference = set_a.difference(set_b) # Contains [1, 2]
## [/codeblock]
func difference(other: Set) -> Set:
var result = Set.new()
for key in _data.keys():
if not other._data.has(key):
result._data[key] = true
return result
## Returns the symmetric difference of this set with another set (A ⊕ B).
## Creates a new set containing elements in either set, but not in both.
## Equivalent to (A - B) (B - A).
## [param other]: The other set for symmetric difference
## [return]: New [Set] containing elements in exactly one of the two sets
##
## [b]Time Complexity:[/b] O(|A| + |B|)
## [codeblock]
## var set_a = Set.new([1, 2, 3, 4])
## var set_b = Set.new([3, 4, 5, 6])
## var sym_diff = set_a.symmetric_difference(set_b) # Contains [1, 2, 5, 6]
## [/codeblock]
func symmetric_difference(other: Set) -> Set:
var result = Set.new()
# Add elements from this set that aren't in other
for key in _data.keys():
if not other._data.has(key):
result._data[key] = true
# Add elements from other set that aren't in this set
for key in other._data.keys():
if not _data.has(key):
result._data[key] = true
return result
#endregion
#region Set Relationship Testing
## Tests whether this set is a subset of another set (A ⊆ B).
## Returns [code]true[/code] if every element in this set also exists in the other set.
## [param other]: The potential superset to test against
## [return]: [code]true[/code] if this set is a subset of other, [code]false[/code] otherwise
##
## [b]Time Complexity:[/b] O(|A|) where |A| is the size of this set
## [codeblock]
## var small_set = Set.new([1, 2])
## var large_set = Set.new([1, 2, 3, 4, 5])
## print(small_set.is_subset(large_set)) # true
## print(large_set.is_subset(small_set)) # false
## [/codeblock]
func is_subset(other: Set) -> bool:
for key in _data.keys():
if not other._data.has(key):
return false
return true
## Tests whether this set is a superset of another set (A ⊇ B).
## Returns [code]true[/code] if this set contains every element from the other set.
## [param other]: The potential subset to test
## [return]: [code]true[/code] if this set is a superset of other, [code]false[/code] otherwise
##
## [b]Time Complexity:[/b] O(|B|) where |B| is the size of the other set
## [codeblock]
## var large_set = Set.new([1, 2, 3, 4, 5])
## var small_set = Set.new([2, 4])
## print(large_set.is_superset(small_set)) # true
## [/codeblock]
func is_superset(other: Set) -> bool:
return other.is_subset(self )
## Tests whether this set contains exactly the same elements as another set (A = B).
## Two sets are equal if they have the same size and this set is a subset of the other.
## [param other]: The set to compare for equality
## [return]: [code]true[/code] if sets contain identical elements, [code]false[/code] otherwise
##
## [b]Time Complexity:[/b] O(min(|A|, |B|)) - fails fast on size mismatch
## [codeblock]
## var set_a = Set.new([1, 2, 3])
## var set_b = Set.new([3, 1, 2]) # Order doesn't matter
## var set_c = Set.new([1, 2, 3, 4])
## print(set_a.is_equal(set_b)) # true
## print(set_a.is_equal(set_c)) # false
## [/codeblock]
func is_equal(other) -> bool:
# Quick size check for early exit
if _data.size() != other._data.size():
return false
return self.is_subset(other)
#endregion
#region Utility Methods
## Creates a shallow copy of this set.
## The returned set is independent - modifications to either set won't affect the other.
## However, if the set contains reference types, the references are shared.
## [return]: New [Set] containing the same elements
##
## [b]Time Complexity:[/b] O(n) where n is the number of elements
## [codeblock]
## var original = Set.new([1, 2, 3])
## var copy = original.duplicate()
## copy.add(4) # Only affects copy
## print(original.size()) # 3
## print(copy.size()) # 4
## [/codeblock]
func duplicate() -> Set:
var result = Set.new()
result._data = _data.duplicate()
return result
## Converts the set to an Array containing all elements.
## This is an alias for [method values] provided for API consistency.
## The order of elements is not guaranteed.
## [return]: Array containing all set elements
##
## [b]Time Complexity:[/b] O(n) where n is the number of elements
## [codeblock]
## var my_set = Set.new(["x", "y", "z"])
## var array = my_set.to_array() # ["x", "y", "z"] (order may vary)
## [/codeblock]
func to_array() -> Array:
return _data.keys()
#endregion

View File

@@ -0,0 +1 @@
uid://oqdcekkxyt52

View File

@@ -0,0 +1,34 @@
## This is a node that automatically fills in the [member System.group] property
## of any [System] that is a child of this node.
## Allowing you to visually organize your systems in the scene tree
## without having to manually set the group property on each [System].
## Add this node to your scene tree and make [System]s children of it.
## The name of the SystemGroup node will be set to [member System.group] for
## all child [System]s.
@tool
@icon('res://addons/gecs/assets/system_folder.svg')
class_name SystemGroup
extends Node
## Put the [System]s in the group based on the [member Node.name] of the [SystemGroup]
@export var auto_group := true
## called when the node enters the scene tree for the first time.
func _enter_tree() -> void:
# Connect signals
if not child_entered_tree.is_connected(_on_child_entered_tree):
child_entered_tree.connect(_on_child_entered_tree)
# Set the group for all child systems
if auto_group:
for child in get_children():
if child is System:
child.group = name
## Anytime a child enters the tree, set its group if it's a System
func _on_child_entered_tree(node: Node) -> void:
if auto_group:
if node is System:
node.group = name

View File

@@ -0,0 +1 @@
uid://b3vi2ingux88g