static List <CardAIPlanData> RefineMultiCastPlan(CardAI ai, CardAIPlanData entryState, List <CardAIPlanData> plans)
{
NetBattlefield bf = entryState.bf;
//get top plans and try to refine them
int min = Mathf.Min(plans.Count, ai.refiningSize);
for (int i = 0; i < min; i++)
{
for (int k = 0; k < ai.intensity; k++)
{
//prepare source for cast copying target enumerator so that it can be reused by the further casts
CardAIPlanData source = entryState;
NetSkill ns = bf.GetSkillByID(plans[i].GetTopCardPlay().skill);
//cast form the source plan data so that it is not casted "after" action we want to reiterate to different targets
CardAIPlanData d = CastSkillOnece(ai, ns, ns.GetOwner(bf), source, bf.CloneAndRemember(), plans[i].GetTopCardPlay().targetEnumerator);
if (d.valid && plans[i].value < d.value)
{
d.SetEnumerator(plans[i].GetTopCardPlay().targetEnumerator);
plans[i] = d;
}
}
}
//select best plan per skill
return(plans.GetRange(0, min));
}
static public List <CardAIPlanData> ProduceCastPlans(CardAI ai, CardAIPlanData data, List <NetSkill> skills, int count)
{
List <CardAIPlanData> plans = new List <CardAIPlanData>(skills.Count);
NetBattlefield bf = data.bf;
for (int i = 0; i < skills.Count; i++)
{
NetSkill ns = skills[i];
IEnumerator <List <int> > targetEnumerator = null;
for (int k = 0; k < count; k++)
{
CardAIPlanData d = CastSkillOnece(ai, ns, ns.GetOwner(bf), data, bf.CloneAndRemember(), targetEnumerator);
if (d.valid)
{
if (targetEnumerator == null)
{
targetEnumerator = d.GetTopCardPlay().targetEnumerator;
}
plans.Add(d);
}
}
}
return(plans);
}
static List <int> GetSecondaryPlayTargets(NetSkill ns, NetCard nc, NetBattlefield bf, List <int> primaryTargets, MHRandom r)
{
if (primaryTargets == null ||
primaryTargets.Count < 1)
{
return(null);
}
Subskill ss = ns.GetSubSkill();
if (ss.trigger.triggerGroup == ETriggerGroupType.DoAttack ||
ss.trigger.triggerGroup == ETriggerGroupType.DoAlternateAttack)
{
//there is no secondary targets of playing card to the battelfield unless its a spell
return(null);
}
if (ss.targets.script2 == null ||
string.IsNullOrEmpty(ss.targets.script2.scriptName))
{
return(null);
}
return(ns.FindSecondaryTargets(bf, -1, primaryTargets));
}
static NetBattlefield ProduceFakeBFIfNeeded(int playerID, NetBattlefield bf)
{
//fake battlefield will contain all friendly cards currently not on battlefield
//positioned on free positions so that AI can see if it can produce
//any targets. there is no simulation involved so fake state should not harm "thinking"
//we will not need fake BF IF all owned cards are already on BF.
HashSet <NetCard> ownCastedCards = bf.GetCardsOnBattelfield(playerID);
NetCardPlayerData ncd = bf.GetPlayerByPlayerID(playerID);
if (ncd == null || NetType.IsNullOrEmpty(ncd.HandCards))
{
return(bf);
}
List <int> ownCardsAtHand = ncd.HandCards.value;
List <NetCard> cardsToCast = new List <NetCard>();
//this is different set than just cards which were used, because card which casts summons or
//does support will not be present on battlefield and still cost more than base AP
foreach (var v in ownCardsAtHand)
{
NetCard nc = bf.GetCardByID(v);
if (!ownCastedCards.Contains(nc))
{
cardsToCast.Add(nc);
}
}
if (cardsToCast.Count == 0)
{
return(bf);
}
//there are cards which should be represented on battle positions
//which requires new BF
//we would do simple but fake casts
NetBattlefield bf2 = bf.CloneAndRemember();
int halfSize = bf2.BattlefieldSize / 2;
int start = playerID == 0 ? 0 : halfSize;
int cardListIndex = 0;
for (int i = 0; i < halfSize; i++)
{
if (cardListIndex == cardsToCast.Count)
{
break;
}
int index = i + start;
if (bf2.BattlefieldPositions.value[index] == 0)
{
bf2.BattlefieldPositions.value[index] = cardsToCast[cardListIndex].CardID;
}
}
return(bf2);
}
static CardAIPlanData ProduceSingleRefination(CardAI ai, CardAIPlanData entryState, CardAIPlanData plan)
{
NetBattlefield bf = entryState.bf;
NetSkill ns = bf.GetSkillByID(plan.GetTopCardPlay().skill);
//cast form the source plan data so that it is not casted "after" action we want to reiterate to different targets
CardAIPlanData d = CastSkillOnece(ai, ns, ns.GetOwner(bf), entryState, bf.CloneAndRemember(), plan.GetTopCardPlay().targetEnumerator);
if (d.valid && plan.value < d.value)
{
d.SetEnumerator(plan.GetTopCardPlay().targetEnumerator);
}
return(d);
}
// Helper that applies normal damage and shield leech (affected by leechFactor).
static public object Act_ShieldLeech_Helper(NetBattlefield bf, NetQueueItem q, FInt leechFactor)
{
NetSkill ns = q.GetNetSkill(bf);
NetCard owner = bf.GetCardByID(ns.OwnerCardID);
NetCard target = null;
if (NetType.IsNullOrEmpty(q.Targets))
{
return(null);
}
FInt damage = owner.GetSkillCastingStrength(ns);
int shieldLeeched = 0;
// Primary targets.
foreach (var v in q.Targets.value)
{
target = bf.ConvertPositionIDToCard(v);
if (target != null)
{
target.ReciveNormalDamage(damage, bf, q, v);
shieldLeeched += (damage * leechFactor).ToInt();
}
}
// Secondary targets.
if (!NetType.IsNullOrEmpty(q.SecondaryTargets))
{
damage *= 0.5f;
foreach (var v in q.SecondaryTargets.value)
{
target = bf.ConvertPositionIDToCard(v);
if (target != null)
{
target.ReciveNormalDamage(damage, bf, q, v);
shieldLeeched += (damage * leechFactor).ToInt();
}
}
}
if (shieldLeeched > 0)
{
FInt currentShields = owner.GetCA_SHIELD();
owner.SetCA_SHIELD(currentShields + shieldLeeched);
}
return(null);
}
// Ancient version of the built-in script Act_DrainHealthEssence, which leeches 80% instead.
// Note: Built-in script Act_DrainHealthAncient does not appear to do this.
static public object Act_LifeLeech_Ancient(NetBattlefield bf, NetQueueItem q, List <NetQueueItem> stack, List <NetQueueItem> previousItems, MHRandom random)
{
NetSkill ns = q.GetNetSkill(bf);
NetCard owner = bf.GetCardByID(ns.OwnerCardID);
NetCard target = null;
if (NetType.IsNullOrEmpty(q.Targets))
{
return(null);
}
FInt damage = owner.GetSkillCastingStrength(ns);
int lifeLeeched = 0;
// Primary targets.
foreach (var v in q.Targets.value)
{
target = bf.ConvertPositionIDToCard(v);
if (target != null)
{
target.ReciveNormalDamage(damage, bf, q, v);
lifeLeeched += (damage * 0.8f).ToInt();
}
}
// Secondary targets.
if (!NetType.IsNullOrEmpty(q.SecondaryTargets))
{
damage *= 0.5f;
foreach (var v in q.SecondaryTargets.value)
{
target = bf.ConvertPositionIDToCard(v);
if (target != null)
{
target.ReciveNormalDamage(damage, bf, q, v);
lifeLeeched += (damage * 0.8f).ToInt();
}
}
}
if (lifeLeeched > 0)
{
owner.ReciveHealthNormal(lifeLeeched, bf, q, t);
}
return(null);
}
//
// static public CardAIPlanData _ProducePlan(int playerID, CardAIPlanData data, int avaliableAP, MHRandom r, int calculationIntensity = 1)
// {
// if (calculationIntensity < 1 )
// {
// Debug.LogError("[ERROR]0 level for AI will nto produce any plans!, Increase calculation intensity to minimum 1!");
// return new CardAIPlanData();
// }
//
// NetBattlefield bf = data.bf;
//
// List<NetCard> cards = CardsWithinAPRange(playerID, bf, avaliableAP);
// if (cards == null) return new CardAIPlanData();
//
// List<NetSkill> skills = SelectSkillsToCast(cards);
// if (skills == null || skills.Count == 0) return new CardAIPlanData();
//
// bool friendlyTurn = playerID > 0;
//
// //Do single cast of all skills to build some expectations
// CardAIPlanData[] plans = new CardAIPlanData[skills.Count];
//
// for (int i=0; i<skills.Count; i++)
// {
// NetSkill ns = skills[i];
// CardAIPlanData d = CastSkillOnece(friendlyTurn, ns, ns.GetOwner(bf), data, bf.CloneAndRemember(), r);
// if (d.valid)
// {
// plans[i] = d;
// }
// }
//
// //sort result based on their value
// List<CardAIPlanData> plansL = new List<CardAIPlanData>(plans);
// plansL.Sort(delegate (CardAIPlanData a, CardAIPlanData b)
// {
// return a.value.CompareTo(b.value);
// });
//
// //get top plans and try to refine them before selecting the best
// int min = Mathf.Min(plansL.Count, calculationIntensity);
// plansL = plansL.GetRange(0, min);
//
// int refiningLevel = 8;
// plans = new CardAIPlanData[plansL.Count * refiningLevel];
// for(int i=0; i < plansL.Count; i++)
// {
// for(int k=0; k< refiningLevel; k++)
// {
// //plansL[i].validTargets
// }
// }
//
// // Start secondary plans from the selected plans
// return new CardAIPlanData();
// }
static public List <NetCard> CardsWithinAPRange(CardAI ai, NetBattlefield bf, int testedAPRange)
{
NetListInt ni = bf.GetPlayerByPlayerID(ai.playerID).HandCards;
if (NetType.IsNullOrEmpty(ni))
{
return(null);
}
List <NetCard> ncs = new List <NetCard>();
foreach (var v in ni.value)
{
NetCard nc = bf.GetCardByID(v);
if (nc.GetCastingCost() <= testedAPRange)
{
ncs.Add(nc);
}
}
return(ncs);
}
static List <NetSkill> WillDoTwoCastSimulation(CardAI ai,
CardAIPlanData data,
List <NetSkill> consideredSkills)
{
List <NetSkill> supportSkills = new List <NetSkill>();
//if there is no skills which can be used there is no activity to consider
if (consideredSkills == null || consideredSkills.Count < 1)
{
return(supportSkills);
}
NetBattlefield bf = null;
foreach (var v in consideredSkills)
{
if (v.IsCastingSpell())
{
if (bf == null)
{
bf = ProduceFakeBFIfNeeded(ai.playerID, data.bf);
}
List <int> pos = v.FindValidTargets(bf, -1);
if (pos != null)
{
if (pos.FindIndex(o => bf.IsBattleSlot(o) &&
!bf.IsSlotFree(o) &&
bf.IsSameSideSlot(ai.playerID, o)) == -1)
{
//this skill does not have allied targets
continue;
}
supportSkills.Add(v);
}
}
}
return(supportSkills);
}
/// <summary>
/// Target any enemy character
/// </summary>
/// <param name="bf"></param>
/// <param name="ns"></param>
/// <param name="bfPosition"></param>
/// <returns></returns>
static public List <int> Trg_RangeTargeting_Unblocked(NetBattlefield bf, NetSkill ns, int bfPosition)
{
if (bf == null || ns == null)
{
return(null);
}
NetCard nc = bf.GetCardByID(ns.OwnerCardID);
if (nc == null)
{
return(null);
}
//this skill should work only when activated from battlefield
if (!bf.IsBattleSlot(bfPosition))
{
return(null);
}
return(SubskillScript.TrgU_FallbackTargets(bf, ns, nc));
}
static List <CardAIPlanData> ProduceRefinePlans(CardAI ai, CardAIPlanData entryState, List <CardAIPlanData> plans)
{
NetBattlefield bf = entryState.bf;
//get top plans and try to refine them
int min = Mathf.Min(plans.Count, ai.refiningSize);
for (int i = 0; i < min; i++)
{
for (int k = 0; k < ai.intensity; k++)
{
CardAIPlanData d = ProduceSingleRefination(ai, entryState, plans[i]);
if (d.valid && plans[i].value < d.value)
{
d.SetEnumerator(plans[i].GetTopCardPlay().targetEnumerator);
plans[i] = d;
}
}
}
//select best plan per skill
return(plans.GetRange(0, min));
}
static IList <int> GetPlayCardTargets(bool friendlyTurn, NetSkill ns, NetCard nc, NetBattlefield bf)
{
Subskill ss = ns.GetSubSkill();
if (ss.trigger.triggerGroup == ETriggerGroupType.DoAttack ||
ss.trigger.triggerGroup == ETriggerGroupType.DoAlternateAttack)
{
if (ss.trigger.requiredToBeInFrontline)
{
if (friendlyTurn)
{
return(bf.GetFreeFriendlyMeleeSlots(false));
}
else
{
return(bf.GetFreeEnemyMeleeSlots(false));
}
}
else if (ss.trigger.requiredToBeInBackline)
{
if (friendlyTurn)
{
return(bf.GetFreeFriendlyRangedSlots(false));
}
else
{
return(bf.GetFreeEnemyRangedSlots(false));
}
}
else
{
List <int> both;
if (friendlyTurn)
{
IList <int> a = bf.GetFreeFriendlyMeleeSlots(false);
IList <int> b = bf.GetFreeFriendlyRangedSlots(false);
both = new List <int>(a.Count + b.Count);
both.AddRange(a);
both.AddRange(b);
return(both);
}
else
{
IList <int> a = bf.GetFreeEnemyMeleeSlots(false);
IList <int> b = bf.GetFreeEnemyRangedSlots(false);
both = new List <int>(a.Count + b.Count);
both.AddRange(a);
both.AddRange(b);
return(both);
}
}
}
else
{
return(ns.FindValidTargets(bf, -1));
}
}
static CardAIPlanData CastSkillOnece(CardAI ai, NetSkill ns, NetCard nc, CardAIPlanData data, NetBattlefield bf, IEnumerator <List <int> > targetEnumerator)
{
//structure makes a new copy
CardAIPlanData result = data;
//using previous bf allows to utilize already cached data, as well as share caching with following casts.
//later we will use new bf to ensure we do not override the same bf.
NetBattlefield prevBf = data.bf;
IList <int> targets = GetPlayCardTargets(ai.FriendlyTurn, ns, nc, prevBf);
if (targets == null || targets.Count < 1)
{
return(new CardAIPlanData());
}
if (targetEnumerator == null)
{
targetEnumerator = GetTargetEnumerator(ns, nc, targets, ai);
if (targetEnumerator == null)
{
return(new CardAIPlanData());
}
}
targetEnumerator.MoveNext();
List <int> selectedTargets = targetEnumerator.Current;
if (selectedTargets == null || selectedTargets.Count == 0)
{
return(new CardAIPlanData());
}
List <int> secTargets = GetSecondaryPlayTargets(ns, nc, prevBf, selectedTargets, ai.r);
FInt skillDelay = ns.GetSkillDelay(prevBf);
int cost = prevBf.GetCardCastingCostFast(ns.GetOwner(prevBf).CardID);
//add cost if something need to be casted next turn by AI
var ncp = bf.GetPlayerByPlayerID(ai.playerID);
if (cost > ncp.ApLeft)
{
skillDelay += 2;
}
//operate from now on its own bf
result.bf = bf;
NetQueueItem q;
if (ns.IsCastingSpell())
{
q = new NetQueueItem(bf, ns, new NetListInt(selectedTargets), new NetListInt(secTargets), skillDelay, -1);
}
else
{
q = new NetQueueItem(bf, ns, null, null, skillDelay, selectedTargets[0]);
}
//if ap cost were larger than current ap then we will result in negative ap.
//because its just simulation we do not care for that now, as the sum of this and next turn ap
//for estimating cost would be identical
ncp.ApLeft -= nc.GetCastingCost();
bf.PlayCard(q, ai.r);
float value = bf.GetValueByCloneSimulation(ai.iterations, ai.r);
result.value = value;
result.AddCardPlay(nc.CardID, ns.SkillInBattleID, q);
result.SetEnumerator(targetEnumerator);
result.valid = true;
return(result);
}
static public object Act_AddShieldingImproved(
NetBattlefield bf,
NetQueueItem q,
List <NetQueueItem> stack,
List <NetQueueItem> previousItems,
MHRandom random)
{
NetSkill ns = q.GetNetSkill(bf);
NetCard owner = bf.GetCardByID(ns.OwnerCardID);
//skill needs target(-s)
if (!NetTypeAtomic.IsValid(q.Targets))
{
return(null);
}
FInt extra = FInt.ZERO;
if (ns.MainAtt != null)
{
extra = owner.GetSkillCastingStrength(ns);
}
FInt value = ns.GetFloatAttribute("TAG-CA_SHIELD");
string sign = ns.GetStringAttribute("TAG-CA_SHIELD");
if (value == FInt.ZERO)
{
if (bf.ChallengeType == EChallengeType.TypePhysical)
{
value = ns.GetFloatAttribute("TAG-SHIELDING_PHYSICAL");
}
else if (bf.ChallengeType == EChallengeType.TypeMental)
{
value = ns.GetFloatAttribute("TAG-SHIELDING_MENTAL");
}
else if (bf.ChallengeType == EChallengeType.TypeSpirit)
{
value = ns.GetFloatAttribute("TAG-SHIELDING_SPIRIT");
}
}
if (string.IsNullOrEmpty(sign))
{
if (bf.ChallengeType == EChallengeType.TypePhysical)
{
sign = ns.GetStringAttribute("TAG-SHIELDING_PHYSICAL");
}
else if (bf.ChallengeType == EChallengeType.TypeMental)
{
sign = ns.GetStringAttribute("TAG-SHIELDING_MENTAL");
}
else if (bf.ChallengeType == EChallengeType.TypeSpirit)
{
sign = ns.GetStringAttribute("TAG-SHIELDING_SPIRIT");
}
}
value += extra;
value.CutToInt();
if (sign == "*")
{
value = value * 0.01f;
}
foreach (var v in q.Targets.value)
{
NetCard target = bf.ConvertPositionIDToCard(v);
if (target == null)
{
continue;
}
FInt prev = target.GetCA_SHIELD();
if (sign == "+")
{
target.SetCA_SHIELD(value + prev);
}
else if (sign == "*")
{
target.SetCA_SHIELD(value * prev);
}
}
if (NetType.IsNullOrEmpty(q.SecondaryTargets))
{
return(null);
}
foreach (var v in q.SecondaryTargets.value)
{
NetCard target = bf.ConvertPositionIDToCard(v);
if (target == null)
{
continue;
}
FInt prev = target.GetCA_SHIELD();
if (sign == "+")
{
target.SetCA_SHIELD(value + prev);
}
else if (sign == "*")
{
target.SetCA_SHIELD(value * prev);
}
}
return(null);
}
// TODO: I'm not sure if this needs a special import to reference the built-in script.
static public object Act_LifeAndShieldLeech_Essence(NetBattlefield bf, NetQueueItem q, List <NetQueueItem> stack, List <NetQueueItem> previousItems, MHRandom random)
{
// Act_DrainHealthEssence(bf, q, stack, previousItems, random);
return(Act_ShieldLeech_Essence(bf, q, stack, previousItems, random));
}
static public object Act_LifeAndShieldLeech_Ancient(NetBattlefield bf, NetQueueItem q, List <NetQueueItem> stack, List <NetQueueItem> previousItems, MHRandom random)
{
Act_LifeLeech_Ancient(bf, q, stack, previousItems, random);
return(Act_ShieldLeech_Ancient(bf, q, stack, previousItems, random));
}
static public object Act_ShieldLeech_Ancient(NetBattlefield bf, NetQueueItem q, List <NetQueueItem> stack, List <NetQueueItem> previousItems, MHRandom random)
{
return(Act_ShieldLeech_Helper(bf, q, 1.0f));
}
// AI 2.0
#region Core planning
static public CardAIPlanData ProducePlan(CardAI ai, CardAIPlanData data, bool allowTwoStages)
{
if (ai.intensity < 1)
{
Debug.LogError("[ERROR]0 level for AI will not produce any plans!, Increase calculation intensity to minimum 1!");
return(new CardAIPlanData());
}
NetBattlefield bf = data.bf;
int apNextTurn = bf.APNextTurn(ai.playerID);
int leftAP = bf.LeftAPThisTurn(ai.playerID) + apNextTurn;
float value = bf.GetValueByCloneSimulation(ai.iterations, ai.r);
List <NetCard> cards = CardsWithinAPRange(ai, bf, ai.totalAP);
if (cards == null)
{
return(new CardAIPlanData());
}
List <NetSkill> supportSkills2 = new List <NetSkill>();
List <NetSkill> skills = SelectSkillsToCast(cards);
if (skills == null || skills.Count == 0)
{
Debug.LogWarning("[!! AI] Avaliable skills to cast = 0");
return(new CardAIPlanData());
}
List <NetSkill> skills2 = null;
List <int> importantPos = null;
#region detect potential two-cast suggestions
if (allowTwoStages)
{
List <NetCard> cards2 = CardsWithinAPRange(ai, bf, ai.totalAP - 1);
if (cards2 != null)
{
skills2 = SelectSkillsToCast(cards2);
//two cast simulation would be considered only in case of at least two skills
//being of value for that activity
if (skills2 != null && skills2.Count > 1)
{
supportSkills2 = WillDoTwoCastSimulation(ai, data, skills2);
if (supportSkills2.Count > 0)
{
importantPos = FindImportantPositions(ai, data, supportSkills2);
}
//expensive casts which exhausts available AP will be casted as single-casts
//support skills will be casted as single-casts
//cheap enough non-supports will be BASE for multi-casts
//then supports skills will be casted on top
skills2 = skills2.Except(supportSkills2).ToList();
skills = skills.Except(skills2).ToList();
}
}
}
#endregion
#region produce single-cast results
List <CardAIPlanData> plans = ProduceCastPlans(ai, data, skills, 1);
if (plans != null && plans.Count > 0)
{
plans.Sort(PlanSorter);
plans = ProduceRefinePlans(ai, data, plans);
}
#endregion
#region produce two-cast results.
//TODO start by doing first layer of casts, with preferences if possible
if (skills2 != null && skills2.Count > 0)
{
List <CardAIPlanData> plans2 = ProduceCastPlans(ai, data, skills2, 1);
if (plans2 != null && plans2.Count > 0)
{
plans2.Sort(PlanSorter);
plans2 = ProduceRefinePlans(ai, data, plans2);
plans.AddRange(plans2);
}
//if supports are possible validate do another single turn pass for remaining skills.
if (supportSkills2 != null && supportSkills2.Count > 0)
{
//register important positions if any to ensure they are preferred during position planning.
ai.preferredStrategicPlaces = importantPos;
//First Cast
plans2 = ProduceCastPlans(ai, data, skills2, 1);
if (plans2 != null && plans2.Count > 0)
{
plans2.Sort(PlanSorter);
plans2 = ProduceRefinePlans(ai, data, plans2);
//Second Cast (aka support cast)
//Use first plan and select boosts which seems to be most efficient among available options.
//this does one base cast and then one boost for each which account for: AxB
List <CardAIPlanData> supportPlans = new List <CardAIPlanData>();
if (plans2 != null && plans2.Count > 0)
{
for (int i = 0; i < ai.supportCasts && i < plans2.Count; i++)
{
CardAIPlanData plan = plans2[i];
supportPlans.AddRange(ProduceCastPlans(ai, plan, supportSkills2, 1));
}
}
// select the best result of AxB to find the best theoretical result after two casts
//do deeper planning for the base positioning and then cast support skills on the chosen plan to
//acquire actual final value
supportPlans.Sort(PlanSorter);
if (supportPlans.Count > 0)
{
CardAIPlanData cpd = supportPlans[0];
CardAIPlanData planBase = plans2.Find(o => o.firstPlay.skill == cpd.firstPlay.skill);
CardAIPlanData result = ProduceSingleRefination(ai, data, planBase);
if (result.valid)
{
List <CardAIPlanData> results = ProduceCastPlans(ai, result, supportSkills2, 1);
if (results != null && results.Count > 0)
{
results.Sort(PlanSorter);
results = ProduceRefinePlans(ai, data, results);
plans.AddRange(results);
}
}
}
}
}
}
#endregion
#region compare all results and select the best
// all results are compared based on how much AP they use.
// positive gain produced by all results are based on final result and final AP cost
// GainedAdvantage / (2 + AP used) which results in:
// 1/2 multiplier for 1 AP actions
// 1/3 multiplier for 2 AP actions
// 1/4 multiplier for 3+ AP actions
// Single-casts would be considered as if they would use-up AvaliableAP amount
// to ensure we do not consider them better even though they cannot provide any better results
//if two-cast actions are available to some actions
// aka: there is no point in having cheaper cost if AP cannot be later used.
if (plans.Count == 0)
{
Debug.LogWarning("[!! AI] Available plans = 0");
return(new CardAIPlanData());
}
CardAIPlanData selected = plans[0];
float selectedV = float.MinValue;
for (int i = 0; i < plans.Count; i++)
{
CardAIPlanData cpd = plans[i];
int newLeftAP = cpd.bf.LeftAPThisTurn(ai.playerID) + apNextTurn;
int apUsed = leftAP - newLeftAP;
float v = cpd.value - value;
v = v / (1f + apUsed);
if (selectedV < v)
{
selected = plans[i];
selectedV = v;
}
}
#endregion
return(selected);
}
/// <summary>
///
/// </summary>
/// <param name="bf">general battlefield information</param>
/// <param name="q">queue element which is already executed which trigers this skill</param>
/// <param name="stack">Items which are still in stack including "q", which most likely is first element</param>
/// <param name="previousItems">Queue items which were already executed in order they were executed</param>
/// <param name="random">random generator specific to this thread</param>
/// <returns></returns>
/// <summary>
/// Basic damage
/// </summary>
static public object Act_Damage_Procedural(
NetBattlefield bf,
NetQueueItem q,
List <NetQueueItem> stack,
List <NetQueueItem> previousItems,
MHRandom random)
{
NetSkill ns = q.GetNetSkill(bf);
NetCard owner = bf.GetCardByID(ns.OwnerCardID);
NetCard target = null;
if (NetType.IsNullOrEmpty(q.Targets))
{
return(null);
}
int flags = ns.Flags;
bool essence = (flags & (int)EActivatorBlocks.Essence) > 0;
bool ancient = (flags & (int)EActivatorBlocks.Ancient) > 0;
bool gray = !ancient && !essence;
FInt damage = GameplayUtils.GetDamageFor(ns, owner);
// if ((flags & (int)SkillGenerator.EActivatorBlocks.Additive) > 0)
// {
//
// if (essence)
// {
// //essence is estimated to be equal between additive and multiplicative at
// // value of 10 (A x 0.2 + 8) ~ (A = 10)
// damage = owner.GetSkillCastingAdditiveStrength(ns, SkillGenerator.ESSENCE_ADDITIVE_BASE);
// }
// else if(ancient)
// {
// //essence is estimated to be equal between additive and multiplicative at
// // value of 15 (A x 0.2 + 12) ~ (A = 15)
// damage = owner.GetSkillCastingAdditiveStrength(ns, SkillGenerator.ANCIENT_ADDITIVE_BASE);
// }
// else
// {
// //essence is estimated to be equal between additive and multiplicative at
// // value of 6 (A x 0.2 + 5) ~ (A = 6)
// damage = owner.GetSkillCastingAdditiveStrength(ns, SkillGenerator.GRAY_ADDITIVE_BASE);
// }
// }
// else
// {
// damage = owner.GetSkillCastingStrength(ns);
// }
bool trueDamage = (flags & (int)EActivatorBlocks.TrueDamage) > 0;
bool poisonDamage = (flags & (int)EActivatorBlocks.PoisonDamage) > 0;
bool lifeLeech = (flags & (int)EActivatorBlocks.LifeLeech) > 0;
bool shieldLeech = (flags & (int)EActivatorBlocks.ShieldLeech) > 0;
bool additive = (flags & (int)EActivatorBlocks.Additive) > 0;
int lifeLeeched = 0;
int shieldLeeched = 0;
#region Primary targets
foreach (var v in q.Targets.value)
{
target = bf.ConvertPositionIDToCard(v);
if (target != null)
{
FInt dmg = damage;
if (poisonDamage && target.IsWounded())
{
if (essence)
{
dmg *= 1.35f;
}
else
{
dmg *= 1.6f;
}
}
if (trueDamage)
{
if (essence)
{
target.ReciveTrueDamageEssence(dmg, bf, q, v);
}
else //no test for ancient
{
target.ReciveTrueDamageAncient(dmg, bf, q, v);
}
}
else
{
target.ReciveNormalDamage(dmg, bf, q, v);
}
if (lifeLeech)
{
if (essence)
{
lifeLeeched += (dmg * 0.4f).ToInt();
}
else
{
lifeLeeched += (dmg * 0.8f).ToInt();
}
}
if (shieldLeech)
{
if (essence)
{
shieldLeeched += (dmg * 0.5f).ToInt();
}
else
{
shieldLeeched += (dmg * 1.0f).ToInt();
}
}
}
}
#endregion
#region Secondary targets
////do splash if needed
if (!NetType.IsNullOrEmpty(q.SecondaryTargets))
{
bool splashBonus = (flags & (int)EActivatorBlocks.AOE) > 0;
if (gray || !splashBonus)
{
damage *= 0.5f;
}
else
{
//this is !gray && AOE
if (essence)
{
damage *= 0.75f;
}
if (ancient)
{
damage *= 1f;
}
}
//ancient damage is 100% splash
foreach (var v in q.SecondaryTargets.value)
{
target = bf.ConvertPositionIDToCard(v);
if (target != null)
{
FInt dmg = damage;
if (poisonDamage && target.IsWounded())
{
if (essence)
{
dmg *= 1.35f;
}
else
{
dmg *= 1.6f;
}
}
if (trueDamage)
{
if (essence)
{
target.ReciveTrueDamageEssence(dmg, bf, q, v);
}
else //no test for ancient
{
target.ReciveTrueDamageAncient(dmg, bf, q, v);
}
}
else
{
target.ReciveNormalDamage(dmg, bf, q, v);
}
if (lifeLeech)
{
if (essence)
{
lifeLeeched += (dmg * 0.4f).ToInt();
}
else
{
lifeLeeched += (dmg * 0.8f).ToInt();
}
}
if (shieldLeech)
{
if (essence)
{
shieldLeeched += (dmg * 0.5f).ToInt();
}
else
{
shieldLeeched += (dmg * 1.0f).ToInt();
}
}
}
}
}
#endregion
#region Leech
if (lifeLeeched > 0)
{
FInt max = owner.GetCA_MAX_HEALTH();
FInt cur = owner.GetCA_HEALTH();
if (cur < max)
{
if (lifeLeeched > max - cur)
{
owner.SetCA_HEALTH(max);
}
else
{
owner.SetCA_HEALTH(cur + lifeLeeched);
}
}
}
if (shieldLeeched > 0)
{
FInt cur = owner.GetCA_SHIELD();
owner.SetCA_SHIELD(cur + shieldLeeched);
}
#endregion
return(null);
}
