74 lines
2.4 KiB
GDScript3
74 lines
2.4 KiB
GDScript3
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class_name FishExperience
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extends RefCounted
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const FishCatchType = preload("res://fish/fish_catch.gd")
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const FishQualityType = preload("res://fish/fish_quality.gd")
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const CollectionLogType = preload("res://collection/collection_log.gd")
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const RARITY_BASE_EXPERIENCE: Array[int] = [10, 18, 32, 55, 90]
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const QUALITY_MULTIPLIERS: Array[float] = [1.0, 1.15, 1.4, 1.8, 2.5]
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const MAXIMUM_WEIGHT_BONUS: float = 0.25
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const FIRST_SPECIES_BONUS: int = 25
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const FIRST_QUALITY_BONUS: int = 15
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const SPECIES_MASTERY_BONUS: int = 100
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static func calculate_for_collection(
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fish_catch: FishCatchType,
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collection_log: CollectionLogType,
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) -> int:
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if fish_catch == null or collection_log == null:
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return 0
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return calculate_catch_experience(
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fish_catch,
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collection_log.has_discovered(fish_catch.fish_id),
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collection_log.get_quality_mask(fish_catch.fish_id),
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)
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static func calculate_catch_experience(
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fish_catch: FishCatchType,
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was_species_discovered: bool,
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previous_quality_mask: int,
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) -> int:
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if fish_catch == null or not fish_catch.is_valid():
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return 0
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var rarity: int = int(fish_catch.fish.rarity)
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if rarity < 0 or rarity >= RARITY_BASE_EXPERIENCE.size():
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return 0
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if not FishQualityType.is_valid(fish_catch.quality):
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return 0
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var weight_percentile: float = _get_weight_percentile(fish_catch)
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var weight_multiplier: float = (
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1.0 + MAXIMUM_WEIGHT_BONUS * weight_percentile * weight_percentile
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)
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var catch_experience: int = roundi(
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float(RARITY_BASE_EXPERIENCE[rarity])
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* QUALITY_MULTIPLIERS[fish_catch.quality]
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* weight_multiplier
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)
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var quality_bit: int = FishQualityType.bit_for(fish_catch.quality)
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if not was_species_discovered:
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catch_experience += FIRST_SPECIES_BONUS
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if (previous_quality_mask & quality_bit) == 0:
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catch_experience += FIRST_QUALITY_BONUS
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var next_quality_mask: int = previous_quality_mask | quality_bit
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if (
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previous_quality_mask != FishQualityType.ALL_TIERS_MASK
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and next_quality_mask == FishQualityType.ALL_TIERS_MASK
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):
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catch_experience += SPECIES_MASTERY_BONUS
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return maxi(catch_experience, 0)
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static func _get_weight_percentile(fish_catch: FishCatchType) -> float:
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var minimum_weight: float = fish_catch.fish.get_minimum_weight()
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var maximum_weight: float = fish_catch.fish.get_maximum_weight()
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if maximum_weight <= minimum_weight:
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return 0.0
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return clampf(
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inverse_lerp(minimum_weight, maximum_weight, fish_catch.weight_lb),
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0.0,
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1.0,
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)
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