def gather_stat_data(
dcsc_props: PrimalDinoStatusComponent,
meta_props: PrimalDinoStatusComponent, is_flyer: bool,
statIndexes: Tuple[int, ...]) -> List[Optional[List[float]]]:
statsArray = list()
iw_values: List[float] = [0] * len(statIndexes)
for _, ark_index in enumerate(statIndexes):
can_level = (ark_index == 2) or meta_props.CanLevelUpValue[ark_index]
dont_use = meta_props.DontUseValue[ark_index]
# Creates a null value in the JSON for stats that are unused
if dont_use and not can_level:
stat_data: Optional[List[float]] = None
else:
add_one = 1 if IS_PERCENT_STAT[ark_index] else 0
# Zero-out stats that can't level
wild_mult = 1 if can_level else 0
# Also zero-out domestic stats that can't level, adding exception for flyer speed :(
dom_mult = 1 if ark_index == 9 and is_flyer else wild_mult
ETHM = dcsc_props.ExtraTamedHealthMultiplier[
0].rounded_value if ark_index == 0 else 1
# Overrides the IW value for Torpor. While this hasn't been seen before, a species may allow torpor
# to be leveled in the wild. Unsure how Ark would handle this.
if ark_index == 2:
iw_values[
ark_index] = dcsc_props.TheMaxTorporIncreasePerBaseLevel[
0].rounded_value
else:
iw_values[
ark_index] = dcsc_props.AmountMaxGainedPerLevelUpValue[
ark_index].rounded_value
stat_data = [
cd(dcsc_props.MaxStatusValues[ark_index].rounded_value +
add_one),
cd(iw_values[ark_index] * wild_mult),
cd(dcsc_props.AmountMaxGainedPerLevelUpValueTamed[ark_index].
rounded_value * ETHM * dom_mult),
cf(dcsc_props.TamingMaxStatAdditions[ark_index].rounded_value),
cf(dcsc_props.TamingMaxStatMultipliers[ark_index].rounded_value
),
]
statsArray.append(stat_data)
return statsArray
def gather_stat_data(props, statIndexes):
statsArray = list()
# Create a temporary set of Iw defaults, overriding torpor with TheMaxTorporIncreasePerBaseLevel or 0.06
iw_values = list(IW_VALUES)
iw_values[2] = stat_value(props, 'TheMaxTorporIncreasePerBaseLevel', 0,
0.06)
for _, ark_index in enumerate(statIndexes):
can_level = (ark_index == 2) or stat_value(
props, 'CanLevelUpValue', ark_index, CANLEVELUP_VALUES)
add_one = 1 if IS_PERCENT_STAT[ark_index] else 0
zero_mult = 1 if can_level else 0
ETHM = stat_value(props, 'ExtraTamedHealthMultiplier', ark_index,
EXTRA_MULTS_VALUES)
stat_data = [
cd(
stat_value(props, 'MaxStatusValues', ark_index, BASE_VALUES) +
add_one),
cd(
stat_value(props, 'AmountMaxGainedPerLevelUpValue', ark_index,
iw_values) * zero_mult),
cd(
stat_value(props, 'AmountMaxGainedPerLevelUpValueTamed',
ark_index, 0.0) * ETHM * zero_mult),
cf(stat_value(props, 'TamingMaxStatAdditions', ark_index, 0.0)),
cf(stat_value(props, 'TamingMaxStatMultipliers', ark_index, 0.0)),
]
# Creates a null value in the JSON for stats that are unused
dont_use = stat_value(props, 'DontUseValue', ark_index,
DONTUSESTAT_VALUES)
if dont_use and not can_level:
stat_data = None
statsArray.append(stat_data)
return statsArray
def gather_taming_data(
char_props: PrimalDinoCharacter,
dcsc_props: PrimalDinoStatusComponent) -> Dict[str, Any]:
data: Dict[str, Any] = dict()
# Currently unable to gather the foods list
eats: Optional[List[str]] = None
favorite_kibble: Optional[str] = None
special_food_values: Optional[List[Dict[str, Dict[str, List[int]]]]] = None
can_tame = char_props.bCanBeTamed[0]
can_knockout = char_props.bCanBeTorpid[0]
data['nonViolent'] = char_props.bSupportWakingTame[0] and can_tame
data['violent'] = not char_props.bPreventSleepingTame[
0] and can_tame and can_knockout
if can_tame or True:
data['tamingIneffectiveness'] = cf(
char_props.TameIneffectivenessByAffinity[0].rounded_value)
data['affinityNeeded0'] = cf(
char_props.RequiredTameAffinity[0].rounded_value)
data['affinityIncreasePL'] = cf(
char_props.RequiredTameAffinityPerBaseLevel[0].rounded_value)
torpor_depletion = dcsc_props.KnockedOutTorpidityRecoveryRateMultiplier[0].rounded_value \
* dcsc_props.RecoveryRateStatusValue[2].rounded_value
if data['violent']:
data['torporDepletionPS0'] = cd(-torpor_depletion)
if data['nonViolent']:
data['wakeAffinityMult'] = cf(
char_props.WakingTameFoodAffinityMultiplier[0].rounded_value)
data['wakeFoodDeplMult'] = cf(
dcsc_props.WakingTameFoodConsumptionRateMultiplier[0].
rounded_value)
data['foodConsumptionBase'] = cf(
-dcsc_props.BaseFoodConsumptionRate[0].rounded_value)
data['foodConsumptionMult'] = cf(
dcsc_props.ProneWaterFoodConsumptionMultiplier[0].rounded_value)
if eats is not None:
data['eats'] = eats
if favorite_kibble is not None:
data['favoriteKibble'] = favorite_kibble
if special_food_values is not None:
data['specialFoodValues'] = special_food_values
return data
def gather_taming_data(props) -> Dict[str, Any]:
data: Dict[str, Any] = dict()
# Currently unable to gather the foods list
eats: Optional[List[str]] = None
favorite_kibble: Optional[str] = None
special_food_values: Optional[List[Dict[str, Dict[str, List[int]]]]] = None
can_tame = stat_value(props, 'bCanBeTamed', 0, True)
can_knockout = stat_value(props, 'bCanBeTorpid', 0, True)
data['nonViolent'] = stat_value(props, 'bSupportWakingTame', 0,
False) and can_tame
data['violent'] = not stat_value(props, 'bPreventSleepingTame', 0,
False) and can_tame and can_knockout
if can_tame or True:
data['tamingIneffectiveness'] = cf(
stat_value(props, 'TameIneffectivenessByAffinity', 0, 20.0))
data['affinityNeeded0'] = cf(
stat_value(props, 'RequiredTameAffinity', 0, 100))
data['affinityIncreasePL'] = cf(
stat_value(props, 'RequiredTameAffinityPerBaseLevel', 0, 5.0))
torpor_depletion = stat_value(props, 'KnockedOutTorpidityRecoveryRateMultiplier', 0, 3.0) \
* stat_value(props, 'RecoveryRateStatusValue', 2, 0.00)
if data['violent']:
data['torporDepletionPS0'] = cd(-torpor_depletion)
if data['nonViolent']:
data['wakeAffinityMult'] = cf(
stat_value(props, 'WakingTameFoodAffinityMultiplier', 0, 1.6))
data['wakeFoodDeplMult'] = cf(
stat_value(props, 'WakingTameFoodConsumptionRateMultiplier', 0,
2.0))
data['foodConsumptionBase'] = cf(
-stat_value(props, 'BaseFoodConsumptionRate', 0, -0.025000)) # pylint: disable=invalid-unary-operand-type
data['foodConsumptionMult'] = cf(
stat_value(props, 'ProneWaterFoodConsumptionMultiplier', 0, 1.00))
if eats is not None:
data['eats'] = eats
if favorite_kibble is not None:
data['favoriteKibble'] = favorite_kibble
if special_food_values is not None:
data['specialFoodValues'] = special_food_values
return data
def gather_taming_data(char_props: PrimalDinoCharacter, dcsc_props: PrimalDinoStatusComponent,
overrides: OverrideSettings) -> Dict[str, Any]:
data: Dict[str, Any] = dict()
# Currently unable to gather the foods list
eats: Optional[List[str]] = None
special_food_values: Optional[List[Dict[str, Dict[str, List[int]]]]] = None
if overrides.taming_method:
can_tame = overrides.taming_method != TamingMethod.none
data['nonViolent'] = overrides.taming_method == TamingMethod.awake
data['violent'] = overrides.taming_method == TamingMethod.knockout
else:
can_tame = bool(char_props.bCanBeTamed[0])
can_knockout = char_props.bCanBeTorpid[0]
can_basket_tame = char_props.bAllowTrapping[0] and not char_props.bPreventWildTrapping[0] and char_props.bIsTrapTamed[0]
data['nonViolent'] = (char_props.bSupportWakingTame[0] and can_tame) or can_basket_tame
data['violent'] = not char_props.bPreventSleepingTame[0] and can_tame and can_knockout
if can_tame or True:
data['tamingIneffectiveness'] = cf(char_props.TameIneffectivenessByAffinity[0].rounded_value)
data['affinityNeeded0'] = cf(char_props.RequiredTameAffinity[0].rounded_value)
data['affinityIncreasePL'] = cf(char_props.RequiredTameAffinityPerBaseLevel[0].rounded_value)
torpor_depletion = dcsc_props.KnockedOutTorpidityRecoveryRateMultiplier[0].rounded_value \
* dcsc_props.RecoveryRateStatusValue[2].rounded_value
if data['violent']:
data['torporDepletionPS0'] = cd(-torpor_depletion)
if data['nonViolent']:
data['wakeAffinityMult'] = cf(char_props.WakingTameFoodAffinityMultiplier[0].rounded_value)
data['wakeFoodDeplMult'] = cf(dcsc_props.WakingTameFoodConsumptionRateMultiplier[0].rounded_value)
data['foodConsumptionBase'] = cf(-dcsc_props.BaseFoodConsumptionRate[0].rounded_value)
data['foodConsumptionMult'] = cf(dcsc_props.ProneWaterFoodConsumptionMultiplier[0].rounded_value)
data['babyFoodConsumptionMult'] = cf(dcsc_props.BabyDinoConsumingFoodRateMultiplier[0].rounded_value *
dcsc_props.ExtraBabyDinoConsumingFoodRateMultiplier[0].rounded_value)
if eats is not None:
data['eats'] = eats
if special_food_values is not None:
data['specialFoodValues'] = special_food_values
return data
def values_for_species(asset: UAsset,
props: PriorityPropDict,
proxy: PrimalDinoCharacter,
allFields=False,
fullStats=True,
includeColor=True,
includeBreeding=True,
includeImmobilize=True,
includeDamageMults=True,
includeTaming=True):
assert asset.loader
# Having no name or tag is an indication that this is an intermediate class, not a spawnable species
name = stat_value(props, 'DescriptiveName', 0, None) or stat_value(
props, 'DinoNameTag', 0, None)
if not name:
logger.debug(
f"Species {asset.assetname} has no DescriptiveName or DinoNameTag - skipping"
)
return
# Also consider anything that doesn't override any base status value as non-spawnable
if not any(
stat_value(props, 'MaxStatusValues', n, None) is not None
for n in ARK_STAT_INDEXES):
logger.debug(
f"Species {asset.assetname} has no overridden stats - skipping")
return
assert asset.assetname and asset.default_export and asset.default_class and asset.default_class.fullname
modid: str = asset.loader.get_mod_id(asset.assetname)
overrides = get_overrides_for_species(asset.assetname, modid)
if get_overrides_for_species(asset.assetname, modid).skip_export:
return
bp: str = asset.default_class.fullname
if bp.endswith('_C'):
bp = bp[:-2]
# Replace names to match ASB's hardcoding of specific species
name = overrides.descriptive_name or name
# Variant information
variants = get_variants_from_assetname(
asset.assetname, overrides) | get_variants_from_species(proxy)
if variants:
if should_skip_from_variants(variants, overrides):
return
name = adjust_name_from_variants(name, variants, overrides)
species = dict(name=name, blueprintPath=bp)
if variants:
species['variants'] = tuple(sorted(variants))
# Stat data
statsField = 'fullStatsRaw' if fullStats else 'statsRaw'
statIndexes = ARK_STAT_INDEXES if fullStats else ASB_STAT_INDEXES
species[statsField] = gather_stat_data(props, statIndexes)
# Set imprint multipliers
stat_imprint_mults: List[float] = list()
for ark_index in statIndexes:
imprint_mult = stat_value(props, 'DinoMaxStatAddMultiplierImprinting',
ark_index, IMPRINT_VALUES)
stat_imprint_mults.append(imprint_mult)
if stat_imprint_mults != list(IMPRINT_VALUES):
species['statImprintMult'] = stat_imprint_mults
if includeImmobilize:
# ImmobilizedBy format data
immobilization_data = None
try:
immobilization_data = gather_immobilization_data(
props, asset.loader)
except (AssetNotFound, ModNotFound) as ex:
logger.warning(
f'Failure while gathering immobilization data for {asset.assetname}:\n\t{ex}'
)
if immobilization_data is not None:
species['immobilizedBy'] = immobilization_data
if includeBreeding:
# Breeding data
if stat_value(props, 'bCanHaveBaby', 0,
False): # TODO: Consider always including this data
breeding_data = None
try:
breeding_data = gather_breeding_data(props, asset.loader)
except (AssetNotFound, ModNotFound) as ex:
logger.warning(
f'Failure while gathering breeding data for {asset.assetname}:\n\t{ex}'
)
if breeding_data:
species['breeding'] = breeding_data
if includeColor:
# Color data
if stat_value(props, 'bUseColorization', False):
colors = None
try:
colors = gather_color_data(asset, props, overrides)
except (AssetNotFound, ModNotFound) as ex:
logger.warning(
f'Failure while gathering color data for {asset.assetname}:\n\t{ex}'
)
if colors is not None:
species['colors'] = colors
if includeTaming:
# Taming data
if stat_value(
props, 'bCanBeTamed', True
) or True: # ASB currently requires all species to have taming data
taming = None
try:
taming = gather_taming_data(props)
except (AssetNotFound, ModNotFound) as ex:
logger.warning(
f'Failure while gathering taming data for {asset.assetname}:\n\t{ex}'
)
if taming:
species['taming'] = taming
if includeDamageMults:
# Bone damage multipliers
dmg_mults = None
try:
dmg_mults = gather_damage_mults(props)
except (AssetNotFound, ModNotFound) as ex:
logger.warning(
f'Failure while gathering bone damage data for {asset.assetname}:\n\t{ex}'
)
if dmg_mults:
species['boneDamageAdjusters'] = dmg_mults
# Misc data
noSpeedImprint = (stat_value(props, 'DinoMaxStatAddMultiplierImprinting',
9, IMPRINT_VALUES) == 0)
usesOxyWild = stat_value(props, 'bCanSuffocate', 0, True)
usesOxyTamed = stat_value(props, 'bCanSuffocateIfTamed', 0, usesOxyWild)
forceOxy = stat_value(props, 'bForceGainOxygen', 0, False)
doesntUseOxygen = not (usesOxyTamed or forceOxy)
ETBHM = stat_value(props, 'ExtraTamedBaseHealthMultiplier', 0, 1)
TBHM = stat_value(props, 'TamedBaseHealthMultiplier', 0, 1) * ETBHM
displayed_stats: int = 0
for i in statIndexes:
use_stat = not stat_value(props, 'DontUseValue', i, DONTUSESTAT_VALUES)
if use_stat and not (i == 3 and doesntUseOxygen):
displayed_stats |= (1 << i)
if allFields or TBHM != 1: species['TamedBaseHealthMultiplier'] = cd(TBHM)
if allFields or noSpeedImprint:
species['NoImprintingForSpeed'] = noSpeedImprint
if allFields or doesntUseOxygen:
species['doesNotUseOxygen'] = doesntUseOxygen
if allFields or displayed_stats:
species['displayedStats'] = displayed_stats
return species
def gather_breeding_data(char_props: PrimalDinoCharacter,
loader: AssetLoader) -> Dict[str, Any]:
data: Dict[str, Any] = dict(gestationTime=0, incubationTime=0)
gestation_breeding = char_props.bUseBabyGestation[0]
fert_eggs = char_props.get('FertilizedEggItemsToSpawn', 0, None)
fert_egg_weights = char_props.get('FertilizedEggWeightsToSpawn', 0, None)
if gestation_breeding:
gestation_speed = char_props.BabyGestationSpeed[0].rounded_value
extra_gestation_speed_m = char_props.ExtraBabyGestationSpeedMultiplier[
0].rounded_value
try:
data['gestationTime'] = cd(1 / gestation_speed /
extra_gestation_speed_m)
except ZeroDivisionError:
logger.warning(
f"Species {char_props.get_source().asset.assetname} tried dividing by zero for its gestationTime"
)
elif fert_eggs and fert_eggs.values:
eggs: List[Tuple[ObjectProperty, float]] = []
for index, egg in enumerate(fert_eggs.values):
weight = fert_egg_weights.values[index] if fert_egg_weights else 1
# Verify the egg is a valid Object and that weight isn't 0
if str(egg) == 'None' or weight == 0:
continue
eggs.append((egg, weight))
# Sort eggs by highest weighting
eggs.sort(reverse=True, key=itemgetter(1))
if eggs:
# We only provide the highest possibility egg to ASB
fert_egg_asset = loader.load_related(eggs[0][0])
assert fert_egg_asset.default_export
egg_props: PrimalItem = ue.gathering.gather_properties(
fert_egg_asset.default_export)
egg_decay = egg_props.EggLoseDurabilityPerSecond[0].rounded_value
extra_egg_decay_m = egg_props.ExtraEggLoseDurabilityPerSecondMultiplier[
0].rounded_value
# 'incubationTime' = 100 / (Egg Lose Durability Per Second × Extra Egg Lose Durability Per Second Multiplier)
try:
data['incubationTime'] = cd(100 / egg_decay /
extra_egg_decay_m)
except ZeroDivisionError:
logger.warning(
f"Species {char_props.get_source().asset.assetname} tried dividing by zero for its incubationTime"
)
data['eggTempMin'] = egg_props.EggMinTemperature[0]
data['eggTempMax'] = egg_props.EggMaxTemperature[0]
# 'maturationTime' = 1 / (Baby Age Speed × Extra Baby Age Speed Multiplier)
baby_age_speed = char_props.BabyAgeSpeed[0].rounded_value
extra_baby_age_speed_m = char_props.ExtraBabyAgeSpeedMultiplier[
0].rounded_value
try:
data['maturationTime'] = cd(1 / baby_age_speed /
extra_baby_age_speed_m)
except ZeroDivisionError:
logger.warning(
f"Species {char_props.get_source().asset.assetname} tried dividing by zero for its maturationTime"
)
data['matingCooldownMin'] = char_props.NewFemaleMinTimeBetweenMating[0]
data['matingCooldownMax'] = char_props.NewFemaleMaxTimeBetweenMating[0]
return data
def gather_breeding_data(props, loader: AssetLoader) -> Dict[str, Any]:
data: Dict[str, Any] = dict(gestationTime=0, incubationTime=0)
gestation_breeding = stat_value(props, 'bUseBabyGestation', 0, False)
has_eggs = False
if props['FertilizedEggItemsToSpawn'][0] and props[
'FertilizedEggItemsToSpawn'][0][-1].values:
# eggs = list(filter(lambda v: v and str(v) != 'None', props['FertilizedEggItemsToSpawn'][0][-1].values))
eggs = [
egg for egg in props['FertilizedEggItemsToSpawn'][0][-1].values
if str(egg) != 'None'
]
has_eggs = bool(eggs)
if gestation_breeding:
gestation_speed = stat_value(props, 'BabyGestationSpeed', 0,
BABYGESTATIONSPEED_DEFAULT)
extra_gestation_speed_m = stat_value(
props, 'ExtraBabyGestationSpeedMultiplier', 0, 1.0)
# TODO: Verify if these should really default to 1 - seems odd
gestation_speed = gestation_speed or 1
extra_gestation_speed_m = extra_gestation_speed_m or 1
# 'gestationTime' = 1 / (Baby Gestation Speed × Extra Baby Gestation Speed Multiplier)
data['gestationTime'] = cd((
1 / gestation_speed / extra_gestation_speed_m
) if gestation_speed and extra_gestation_speed_m else None)
elif has_eggs:
fert_egg_asset = loader.load_related(eggs[0])
fert_egg_props = ark.mod.gather_properties(fert_egg_asset)
egg_decay = stat_value(fert_egg_props, 'EggLoseDurabilityPerSecond', 0,
1)
extra_egg_decay_m = stat_value(
fert_egg_props, 'ExtraEggLoseDurabilityPerSecondMultiplier', 0, 1)
# 'incubationTime' = 100 / (Egg Lose Durability Per Second × Extra Egg Lose Durability Per Second Multiplier)
data['incubationTime'] = cd((
100 / egg_decay /
extra_egg_decay_m) if egg_decay and extra_egg_decay_m else None)
data['eggTempMin'] = cf(
stat_value(fert_egg_props, 'EggMinTemperature', 0))
data['eggTempMax'] = cf(
stat_value(fert_egg_props, 'EggMaxTemperature', 0))
# 'maturationTime' = 1 / (Baby Age Speed × Extra Baby Age Speed Multiplier)
baby_age_speed = stat_value(props, 'BabyAgeSpeed', 0, 1)
extra_baby_age_speed_m = stat_value(props, 'ExtraBabyAgeSpeedMultiplier',
0, 1)
data['maturationTime'] = cd((
1 / baby_age_speed / extra_baby_age_speed_m
) if baby_age_speed and extra_baby_age_speed_m else None)
data['matingCooldownMin'] = cf(
stat_value(props, 'NewFemaleMinTimeBetweenMating', 0,
FEMALE_MINTIMEBETWEENMATING_DEFAULT))
data['matingCooldownMax'] = cf(
stat_value(props, 'NewFemaleMaxTimeBetweenMating', 0,
FEMALE_MAXTIMEBETWEENMATING_DEFAULT))
return data