110 lines
2.9 KiB
Go
110 lines
2.9 KiB
Go
package ai
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import (
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"fmt"
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"math/rand/v2"
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"github.com/greyson/super-auto-pets-board-game/internal/game"
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)
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// ctx is per-decision scratch state: the view, the memory, and caches shared
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// by every candidate evaluated in the same decision.
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type ctx struct {
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v *game.View
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m *Memory
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me *game.PlayerView
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oppSeat int
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pools map[int][]game.Card // unseen cards per tier, for hidden-card guesses
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simID int
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}
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func newCtx(v *game.View, m *Memory) *ctx {
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cx := &ctx{v: v, m: m, me: &v.Players[v.YouSeat], oppSeat: m.Opp.Seat, pools: map[int][]game.Card{}}
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if cx.oppSeat == cx.me.Seat || cx.oppSeat < 0 {
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// Memory hasn't observed yet (shouldn't happen in practice).
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for _, p := range v.Players {
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if p.Seat != v.YouSeat {
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cx.oppSeat = p.Seat
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}
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}
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}
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return cx
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}
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func (cx *ctx) nextSimID() string {
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cx.simID++
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return fmt.Sprintf("sim-%d", cx.simID)
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}
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// unseenPool lists the printed cards of a tier that the bot cannot account
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// for anywhere it can see — its own deck, the opponent model, the shop row.
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// Hidden opponent cards are drawn from this pool, so the bot's guesses
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// respect card counting without peeking at the real decks.
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func (cx *ctx) unseenPool(tier int) []game.Card {
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if pool, ok := cx.pools[tier]; ok {
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return pool
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}
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seen := map[string]int{}
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note := func(c game.Card) {
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if c.Tier == tier {
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seen[c.Name]++
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}
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}
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for _, c := range cx.me.Deck {
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note(c)
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}
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for _, c := range cx.m.Opp.Known {
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note(c)
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}
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for _, c := range cx.v.ShopRow {
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note(c)
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}
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var pool []game.Card
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for _, c := range game.TierContentsForPack(cx.v.Pack, tier) {
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if seen[c.Name] > 0 {
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seen[c.Name]--
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continue
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}
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pool = append(pool, c)
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}
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cx.pools[tier] = pool
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return pool
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}
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// sampleOppDeck instantiates one concrete guess at the opponent's deck:
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// known cards as-is, hidden cards drawn from the unseen pool of their tier
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// (or their named template, when a pick was later revealed).
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func (cx *ctx) sampleOppDeck() []game.Card {
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deck := append([]game.Card(nil), cx.m.Opp.Known...)
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for _, h := range cx.m.Opp.Hidden {
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var c game.Card
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if t, ok := templateByName(cx.v.Pack, h.Name); ok {
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c = t
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} else if pool := cx.unseenPool(h.Tier); len(pool) > 0 {
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c = pool[rand.IntN(len(pool))]
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} else {
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continue // tier exhausted and fully accounted for; nothing to guess
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}
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c.ID = cx.nextSimID()
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deck = append(deck, c)
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}
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return deck
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}
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// oppArrangements produces n independent guesses of what the opponent will
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// field: each is a sampled deck put in a plausible order by the same
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// heuristic the bot itself uses, with enough noise that the bot prepares for
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// a range of opponent plans rather than assuming one. The first guess is the
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// noise-free "book" ordering.
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func (cx *ctx) oppArrangements(n int) [][]game.Card {
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out := make([][]game.Card, 0, n)
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for i := range n {
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temp := 0.8
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if i == 0 {
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temp = 0
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}
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out = append(out, heuristicOrder(cx.sampleOppDeck(), temp))
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}
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return out
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}
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