package ai

import (
	"testing"

	"github.com/greyson/super-auto-pets-board-game/internal/game"
)

// TestWinScoreMarginBreaksTiesNotVerdicts pins down the margin tie-breaker:
// within a single verdict it prefers the more decisive result (a win with pets
// to spare, a loss that took most of the enemy down), but no margin, however
// lopsided, may ever raise a loss above a draw or a draw above a win.
func TestWinScoreMarginBreaksTiesNotVerdicts(t *testing.T) {
	mk := func(winner, mine, theirs int) *game.BattleResult {
		return &game.BattleResult{WinnerSeat: winner, Survivors: []int{mine, theirs}}
	}

	decisiveWin := winScore(mk(0, 5, 0), 0)
	narrowWin := winScore(mk(0, 1, 0), 0)
	drawAhead := winScore(mk(-1, 3, 1), 0)
	evenDraw := winScore(mk(-1, 0, 0), 0)
	drawBehind := winScore(mk(-1, 1, 3), 0)
	narrowLoss := winScore(mk(1, 0, 1), 0)
	blowoutLoss := winScore(mk(1, 0, 6), 0)

	// Ties within a verdict resolve toward the stronger finish.
	if !(decisiveWin > narrowWin) {
		t.Errorf("a win with survivors should beat a squeaker: %.4f !> %.4f", decisiveWin, narrowWin)
	}
	if !(drawAhead > evenDraw && evenDraw > drawBehind) {
		t.Errorf("draws should order by margin: ahead %.4f, even %.4f, behind %.4f", drawAhead, evenDraw, drawBehind)
	}
	if !(narrowLoss > blowoutLoss) {
		t.Errorf("a narrow loss should beat a blowout: %.4f !> %.4f", narrowLoss, blowoutLoss)
	}

	// Verdict ordering is inviolable: the best-possible loss still ranks below
	// the worst-possible draw, and the best draw below the worst win.
	if !(narrowWin > drawAhead) {
		t.Errorf("the worst win must outrank the best draw: %.4f !> %.4f", narrowWin, drawAhead)
	}
	if !(drawBehind > narrowLoss) {
		t.Errorf("the worst draw must outrank the best loss: %.4f !> %.4f", drawBehind, narrowLoss)
	}
}