Add data-driven fish selection and catch showcase

fish/fish_data.gd

@@ -4,8 +4,69 @@ extends Resource
 const CatchDifficultyProfileType = preload(
 	"res://fishing/catch_difficulty_profile.gd"
 )
+const FishAvailabilityType = preload("res://fish/fish_availability.gd")
+
+enum Rarity {
+	COMMON,
+	UNCOMMON,
+	RARE,
+	EPIC,
+	LEGENDARY,
+}
 
 @export var id: StringName
 @export var display_name: String
-@export var icon: Texture2D
+@export var rarity: Rarity = Rarity.COMMON
+@export_range(0.0, 1000.0, 0.01) var base_catch_weight: float = 1.0
 @export var catch_profile: CatchDifficultyProfileType
+@export var availability: FishAvailabilityType
+@export_range(0.01, 1000.0, 0.01) var weight_min_lb: float = 0.5
+@export_range(0.01, 1000.0, 0.01) var weight_max_lb: float = 1.0
+@export_range(0.01, 20.0, 0.01) var display_scale_min: float = 0.8
+@export_range(0.01, 20.0, 0.01) var display_scale_max: float = 1.2
+@export_range(0.01, 10.0, 0.01) var display_scale_curve: float = 1.0
+@export var display_texture: Texture2D
+
+
+func is_selectable() -> bool:
+	return (
+		not id.is_empty()
+		and base_catch_weight > 0.0
+		and catch_profile != null
+		and weight_min_lb > 0.0
+		and weight_max_lb >= weight_min_lb
+		and display_scale_min > 0.0
+		and display_scale_max >= display_scale_min
+		and display_scale_curve > 0.0
+	)
+
+
+func get_minimum_weight() -> float:
+	return maxf(weight_min_lb, 0.01)
+
+
+func get_maximum_weight() -> float:
+	return maxf(weight_max_lb, get_minimum_weight())
+
+
+func get_display_scale_for_weight(weight_lb: float) -> float:
+	var minimum_weight: float = get_minimum_weight()
+	var maximum_weight: float = get_maximum_weight()
+	var normalized_weight: float = 0.0
+	if maximum_weight > minimum_weight:
+		normalized_weight = inverse_lerp(
+			minimum_weight,
+			maximum_weight,
+			weight_lb
+		)
+	normalized_weight = pow(
+		clampf(normalized_weight, 0.0, 1.0),
+		maxf(display_scale_curve, 0.01)
+	)
+	var minimum_scale: float = maxf(display_scale_min, 0.01)
+	var maximum_scale: float = maxf(display_scale_max, minimum_scale)
+	return lerpf(minimum_scale, maximum_scale, normalized_weight)
+
+
+func get_rarity_name() -> String:
+	return Rarity.keys()[rarity].capitalize()