netfishing/progression/character_customization_catalog.gd

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class_name CharacterCustomizationCatalog
extends RefCounted
const CATEGORY_IDS: PackedStringArray = [
"species",
"scale",
"fur_pattern",
"ears",
"eyes",
"nose",
"mouth",
"tail",
]
const CATEGORY_LABELS: Dictionary = {
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"species": "head",
"scale": "size",
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"fur_pattern": "fur color",
"ears": "ears",
"eyes": "eyes",
"nose": "nose",
"mouth": "mouth",
"tail": "tail",
}
const SCALE_CATEGORY_ID: String = "scale"
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const MIN_CHARACTER_SCALE: float = 0.5
const MAX_CHARACTER_SCALE: float = 1.5
const DEFAULT_CHARACTER_SCALE: float = 1.0
const CHARACTER_SCALE_STEP: float = 0.05
const FEATURE_CATEGORIES: PackedStringArray = ["eyes", "nose", "mouth"]
const FEATURE_ASSET_ROOTS: Dictionary = {
"eyes": "res://art/exported/characters/faces/eyes",
"nose": "res://art/exported/characters/faces/noses",
"mouth": "res://art/exported/characters/faces/mouth",
}
const FEATURE_LABEL_OVERRIDES: Dictionary = {
"simple_shine": "simple shine",
"simple_shine_eyebrows": "simple shine + eyebrows",
"dog_round": "round",
"three": "three",
}
const OPTIONS: Dictionary = {
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"species": [
{"id": "round", "label": "round"},
{"id": "pointy", "label": "pointy"},
],
# The serialized field remains `fur_pattern` for save and network
# compatibility. It holds the initial solid fur-color selection until the
# authored pattern layer is ready.
"fur_pattern": [
{"id": "white", "label": "white", "color": Color("f2f0e8")},
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{"id": "cream", "label": "cream", "color": Color("e6d39b")},
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{"id": "gray", "label": "gray", "color": Color("819398")},
{"id": "charcoal", "label": "charcoal", "color": Color("34444a")},
{"id": "brown", "label": "brown", "color": Color("7b4a32")},
{"id": "orange", "label": "orange", "color": Color("c86c36")},
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{"id": "red", "label": "red", "color": Color("a9433f")},
{"id": "pink", "label": "pink", "color": Color("d8899e")},
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{"id": "yellow", "label": "yellow", "color": Color("d8c545")},
{"id": "green", "label": "green", "color": Color("6f913c")},
{"id": "teal", "label": "teal", "color": Color("3a8790")},
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{"id": "blue", "label": "blue", "color": Color("4d76a8")},
{"id": "purple", "label": "purple", "color": Color("76558f")},
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],
"ears": [
{"id": "none", "label": "none"},
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{"id": "antlers_round", "label": "antlers"},
{"id": "bear", "label": "bear"},
{"id": "bunny", "label": "bunny"},
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{"id": "pointy_long", "label": "long"},
{"id": "pointy_short", "label": "short"},
{"id": "pointy_wide", "label": "wide"},
],
"eyes": [
{"id": "simple_shine", "label": "simple shine"},
{
"id": "simple_shine_eyebrows",
"label": "simple shine + eyebrows",
},
],
"nose": [{"id": "dog_round", "label": "round"}],
"mouth": [{"id": "three", "label": "three"}],
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"tail": [
{"id": "none", "label": "none"},
{"id": "bear", "label": "bear"},
{"id": "bunny", "label": "bunny"},
{"id": "cat", "label": "cat"},
{"id": "fox", "label": "fox"},
{"id": "gator", "label": "gator"},
{"id": "pointy", "label": "pointy"},
],
}
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const LEGACY_OPTION_ALIASES: Dictionary = {
"species": {"default": "round"},
"fur_pattern": {"solid": "white"},
"ears": {"default": "none"},
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"tail": {"default": "none"},
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"eyes": {"default": "simple_shine"},
"nose": {"default": "dog_round"},
"mouth": {"default": "three"},
}
static var _feature_assets_ready: bool = false
static var _feature_options: Dictionary = {}
static var _feature_textures: Dictionary = {}
static func default_snapshot() -> Dictionary:
_ensure_feature_assets()
return {
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"species": "round",
"scale": DEFAULT_CHARACTER_SCALE,
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"fur_pattern": "white",
"ears": "none",
"eyes": _default_feature_option("eyes", "simple_shine"),
"nose": _default_feature_option("nose", "dog_round"),
"mouth": _default_feature_option("mouth", "three"),
"tail": "none",
}
static func _default_feature_option(
category_id: String,
legacy_id: String,
) -> String:
var options: Array = _feature_options.get(category_id, []) as Array
for option: Dictionary in options:
if str(option.get("id", "")) == legacy_id:
return legacy_id
for option: Dictionary in options:
var option_id := str(option.get("id", ""))
if option_id != "none":
return option_id
return "none"
static func options_for(category_id: String) -> Array:
if category_id in FEATURE_CATEGORIES:
_ensure_feature_assets()
return _feature_options.get(category_id, []) as Array
return OPTIONS.get(category_id, [])
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static func feature_option_groups(category_id: String) -> Array:
if category_id not in FEATURE_CATEGORIES:
return []
var options: Array = options_for(category_id)
var option_ids: Array[String] = []
for option: Dictionary in options:
option_ids.append(str(option.get("id", "")))
var grouped_options: Dictionary = {}
var group_order: Array[String] = []
for option: Dictionary in options:
var option_id := str(option.get("id", ""))
var group_id := _feature_variant_root(option_id, option_ids)
if not grouped_options.has(group_id):
grouped_options[group_id] = []
group_order.append(group_id)
var group: Array = grouped_options[group_id] as Array
group.append(option)
grouped_options[group_id] = group
var result: Array = []
for group_id: String in group_order:
result.append({
"id": group_id,
"options": grouped_options[group_id],
})
return result
static func _feature_variant_root(
option_id: String,
option_ids: Array[String],
) -> String:
if option_id == "none":
return option_id
# Prefer the shortest authored base option. This keeps nested names such as
# `beady_extra_shine` in the `beady` drawer rather than creating drawers
# inside drawers.
var authored_root := ""
for candidate_id: String in option_ids:
if candidate_id == "none":
continue
if (
option_id != candidate_id
and not option_id.begins_with(candidate_id + "_")
):
continue
var has_descendant := false
for descendant_id: String in option_ids:
if descendant_id.begins_with(candidate_id + "_"):
has_descendant = true
break
if (
has_descendant
and (
authored_root.is_empty()
or candidate_id.length() < authored_root.length()
)
):
authored_root = candidate_id
if not authored_root.is_empty():
return authored_root
# Some families have no unqualified base asset. Group those siblings by
# their leading name segment, making the sorted first asset representative.
var separator_index := option_id.find("_")
if separator_index <= 0:
return option_id
var leading_segment := option_id.substr(0, separator_index)
var sibling_count := 0
for candidate_id: String in option_ids:
if candidate_id.begins_with(leading_segment + "_"):
sibling_count += 1
if sibling_count >= 2:
return leading_segment
return option_id
static func texture_for(category_id: String, option_id: String) -> Texture2D:
if category_id not in FEATURE_CATEGORIES:
return null
_ensure_feature_assets()
var canonical_id := canonical_option_id(category_id, option_id)
var textures: Dictionary = _feature_textures.get(category_id, {}) as Dictionary
return textures.get(canonical_id) as Texture2D
static func refresh_feature_assets() -> void:
_feature_assets_ready = false
_feature_options.clear()
_feature_textures.clear()
_ensure_feature_assets()
static func _ensure_feature_assets() -> void:
if _feature_assets_ready:
return
_feature_assets_ready = true
for category_id: String in FEATURE_CATEGORIES:
var options: Array = [{"id": "none", "label": "none"}]
var textures: Dictionary = {}
var root_path := str(FEATURE_ASSET_ROOTS[category_id])
var directory := DirAccess.open(root_path)
if directory != null:
var files := directory.get_files()
files.sort()
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var normalized_paths: Dictionary = {}
for file_name: String in files:
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var normalized_file_name := _canonical_feature_filename(file_name)
if (
normalized_file_name.is_empty()
or normalized_paths.has(normalized_file_name)
):
continue
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normalized_paths[normalized_file_name] = true
var option_id := _feature_id_from_filename(
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category_id, normalized_file_name
)
if option_id.is_empty() or textures.has(option_id):
continue
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var resource_path := root_path.path_join(normalized_file_name)
var texture := ResourceLoader.load(resource_path) as Texture2D
if texture == null:
push_warning(
"Ignoring facial feature without a loadable texture: "
+ resource_path
)
continue
textures[option_id] = texture
options.append({
"id": option_id,
"label": _feature_label(option_id),
})
_feature_options[category_id] = options
_feature_textures[category_id] = textures
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static func _canonical_feature_filename(file_name: String) -> String:
var lower_name := file_name.to_lower()
for sidecar_suffix: String in [".import", ".remap"]:
if lower_name.ends_with(".png" + sidecar_suffix):
return file_name.substr(
0, file_name.length() - sidecar_suffix.length()
)
if lower_name.ends_with(".png"):
return file_name
return ""
static func _feature_id_from_filename(
category_id: String,
file_name: String,
) -> String:
var option_id := file_name.get_basename().to_lower()
var prefix := category_id + "_"
if option_id.begins_with(prefix):
option_id = option_id.trim_prefix(prefix)
option_id = option_id.replace("-", "_")
option_id = option_id.replace(" ", "_")
option_id = option_id.replace(".", "_")
while option_id.contains("__"):
option_id = option_id.replace("__", "_")
while option_id.begins_with("_"):
option_id = option_id.substr(1)
while option_id.ends_with("_"):
option_id = option_id.substr(0, option_id.length() - 1)
return option_id
static func _feature_label(option_id: String) -> String:
if FEATURE_LABEL_OVERRIDES.has(option_id):
return str(FEATURE_LABEL_OVERRIDES[option_id])
return option_id.replace("_", " ")
static func category_label(category_id: String) -> String:
return str(CATEGORY_LABELS.get(category_id, category_id))
static func is_valid_option(category_id: String, option_id: String) -> bool:
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option_id = canonical_option_id(category_id, option_id)
for option: Dictionary in options_for(category_id):
if str(option.get("id", "")) == option_id:
return true
return false
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static func canonical_option_id(category_id: String, option_id: String) -> String:
var aliases: Dictionary = LEGACY_OPTION_ALIASES.get(category_id, {})
return str(aliases.get(option_id, option_id))
static func option_color(category_id: String, option_id: String) -> Color:
var canonical_id: String = canonical_option_id(category_id, option_id)
for option: Dictionary in options_for(category_id):
if str(option.get("id", "")) == canonical_id:
return option.get("color", Color.WHITE) as Color
return Color.WHITE
static func validate_snapshot(value: Variant) -> bool:
if typeof(value) != TYPE_DICTIONARY:
return false
var snapshot: Dictionary = value
if snapshot.size() != CATEGORY_IDS.size():
return false
for category_id: String in CATEGORY_IDS:
if category_id == SCALE_CATEGORY_ID:
if not is_valid_character_scale(snapshot.get(category_id)):
return false
continue
if (
typeof(snapshot.get(category_id)) != TYPE_STRING
or not is_valid_option(category_id, str(snapshot[category_id]))
):
return false
return true
static func sanitized_snapshot(value: Variant) -> Dictionary:
var result := default_snapshot()
if typeof(value) != TYPE_DICTIONARY:
return result
var snapshot: Dictionary = value
for category_id: String in CATEGORY_IDS:
if category_id == SCALE_CATEGORY_ID:
result[category_id] = character_scale(
snapshot.get(category_id, DEFAULT_CHARACTER_SCALE)
)
continue
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var option_id: String = canonical_option_id(
category_id, str(snapshot.get(category_id, ""))
)
if is_valid_option(category_id, option_id):
result[category_id] = option_id
return result
static func character_scale(value: Variant) -> float:
if typeof(value) not in [TYPE_FLOAT, TYPE_INT]:
return DEFAULT_CHARACTER_SCALE
var number: float = float(value)
if not is_finite(number):
return DEFAULT_CHARACTER_SCALE
return clampf(
snappedf(number, CHARACTER_SCALE_STEP),
MIN_CHARACTER_SCALE,
MAX_CHARACTER_SCALE,
)
static func is_valid_character_scale(value: Variant) -> bool:
if typeof(value) not in [TYPE_FLOAT, TYPE_INT]:
return false
var number: float = float(value)
return (
is_finite(number)
and number >= MIN_CHARACTER_SCALE
and number <= MAX_CHARACTER_SCALE
and is_equal_approx(number, character_scale(number))
)
static func character_scale_percent(value: Variant) -> int:
return roundi(character_scale(value) * 100.0)