woofmeow/netfishing
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Expand fish catalog and add bait system

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This commit is contained in:
Alexander Sellite 2026-08-06 01:00:52 -04:00
parent 43f57e56a0
commit 954042fd1d
134 changed files with 3134 additions and 127 deletions
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43
fish/fish_data.gd
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@ -1,6 +1,16 @@
class_name FishData
extends Resource
# Fish are displayed by their physical weight, rather than by per-species
# texture or resource dimensions. A cube-root curve approximates the way a
# fish's linear dimensions grow with mass while keeping large catches readable
# beside the player.
const DISPLAY_REFERENCE_WEIGHT_LB: float = 1.0
const DISPLAY_REFERENCE_SCALE: float = 0.85
const DISPLAY_WEIGHT_EXPONENT: float = 0.33333334
const DISPLAY_MIN_SCALE: float = 0.45
const DISPLAY_MAX_SCALE: float = 3.0
const CatchDifficultyProfileType = preload(
"res://fishing/catch_difficulty_profile.gd"
)
@ -24,6 +34,8 @@ var allowed_water_types: int = WaterType.ALL_FISHABLE_MASK
@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
# Retained in resource files for compatibility with existing authored data;
# runtime presentation is derived from absolute weight below.
@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
@ -69,23 +81,26 @@ func get_maximum_weight() -> float:
return maxf(weight_max_lb, get_minimum_weight())
func get_display_scale_for_weight(weight_lb: float) -> float:
func get_weight_percentile(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)
if maximum_weight <= minimum_weight:
return 0.0
return clampf(
inverse_lerp(minimum_weight, maximum_weight, weight_lb),
0.0,
1.0,
)
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_display_scale_for_weight(weight_lb: float) -> float:
var safe_weight_lb: float = maxf(weight_lb, 0.01)
var weight_ratio: float = safe_weight_lb / DISPLAY_REFERENCE_WEIGHT_LB
var weight_scale: float = DISPLAY_REFERENCE_SCALE * pow(
weight_ratio,
DISPLAY_WEIGHT_EXPONENT,
)
return clampf(weight_scale, DISPLAY_MIN_SCALE, DISPLAY_MAX_SCALE)
func get_sale_value_for_weight(weight_lb: float) -> int: