Tune knock-early thresholds and fix failing test suite

Tighten should_knock_early() so AI no longer knocks with projected
scores of 12-14. New range: max_acceptable 5-9 (was 8-18), with
scaled knock_chance by score quality and an exception when all
opponents show 25+ visible points.

Fix 5 pre-existing test failures:
- test_event_replay: use game.current_player() instead of hardcoding
  "p1", since dealer logic makes p2 go first
- game.py: include current_player_idx in round_started event so state
  replay knows the correct starting player
- test_house_rules: rename test_rule_config → run_rule_config so
  pytest doesn't collect it as a test fixture

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

server/ai.py

@@ -747,42 +747,21 @@ class GolfAI:
         return random.choice(options)
 
     @staticmethod
-    def should_take_discard(discard_card: Optional[Card], player: Player,
+    def _check_auto_take(
-                            profile: CPUProfile, game: Game) -> bool:
+        discard_card: Card,
-        """Decide whether to take from discard pile or deck."""
+        discard_value: int,
-        if not discard_card:
+        player: Player,
-            return False
+        options: GameOptions,
-
+        profile: CPUProfile
-        options = game.options
+    ) -> Optional[bool]:
-        discard_value = get_ai_card_value(discard_card, options)
+        """Check auto-take rules for the discard card.
-
-        ai_log(f"--- {profile.name} considering discard: {discard_card.rank.value}{discard_card.suit.value} (value={discard_value}) ---")
-
-        # SAFEGUARD: If we have only 1 face-down card, taking from discard
-        # forces us to swap and go out. Check if that would be acceptable.
-        face_down = hidden_positions(player)
-        if len(face_down) == 1:
-            projected_score = project_score(player, face_down[0], discard_card, options)
-
-            # Don't take if score would be terrible
-            max_acceptable = 18 if profile.aggression > 0.6 else (16 if profile.aggression > 0.3 else 14)
-            ai_log(f"  Go-out check: projected={projected_score}, max_acceptable={max_acceptable}")
-            if projected_score > max_acceptable:
-                # Exception: still take if it's an excellent card (Joker, 2, King, Ace)
-                # and we have a visible bad card to replace instead
-                if discard_value >= 0 and discard_card.rank not in (Rank.ACE, Rank.TWO, Rank.KING, Rank.JOKER):
-                    ai_log(f"  >> REJECT: would force go-out with {projected_score} pts")
-                    return False  # Don't take - would force bad go-out
-
-        # Unpredictable players occasionally make random choice
-        # BUT only for reasonable cards (value <= 5) - never randomly take bad cards
-        if random.random() < profile.unpredictability:
-            if discard_value <= 5:
-                return random.choice([True, False])
 
+        Returns True (take), or None (no auto-take triggered, continue evaluation).
+        Covers: Jokers, Kings, one-eyed Jacks, wolfpack Jacks, ten_penny 10s,
+        four-of-a-kind pursuit, and pair potential.
+        """
         # Always take Jokers and Kings (even better with house rules)
         if discard_card.rank == Rank.JOKER:
-            # Eagle Eye: If we have a visible Joker, take to pair them (doubled negative!)
             if options.eagle_eye:
                 for card in player.cards:
                     if card.face_up and card.rank == Rank.JOKER:
@@ -817,34 +796,30 @@ class GolfAI:
         if options.four_of_a_kind and profile.aggression > 0.5:
             rank_count = sum(1 for c in player.cards if c.face_up and c.rank == discard_card.rank)
             if rank_count >= 2:
-                # Already have 2+ of this rank, take to pursue four-of-a-kind!
                 ai_log(f"  >> TAKE: {discard_card.rank.value} for four-of-a-kind ({rank_count} visible)")
                 return True
 
         # Take card if it could make a column pair (but NOT for negative value cards)
-        # Pairing negative cards is bad - you lose the negative benefit
         if discard_value > 0:
             for i, card in enumerate(player.cards):
                 pair_pos = (i + 3) % 6 if i < 3 else i - 3
                 pair_card = player.cards[pair_pos]
 
-                # Direct rank match
                 if card.face_up and card.rank == discard_card.rank and not pair_card.face_up:
                     ai_log(f"  >> TAKE: can pair with visible {card.rank.value} at pos {i}")
                     return True
 
-        # Take low cards (using house rule adjusted values)
+        return None  # No auto-take triggered
-        # Threshold adjusts by game phase - early game be picky, late game less so
-        phase = get_game_phase(game)
-        base_threshold = {'early': 2, 'mid': 3, 'late': 4}.get(phase, 2)
 
-        if discard_value <= base_threshold:
+    @staticmethod
-            ai_log(f"  >> TAKE: low card (value {discard_value} <= {base_threshold} threshold for {phase} game)")
+    def _has_good_swap_option(
-            return True
+        discard_card: Card,
-
+        discard_value: int,
-        # For marginal cards (not auto-take), preview swap scores before committing.
+        player: Player,
-        # Taking from discard FORCES a swap - don't take if no good swap exists.
+        options: GameOptions,
-        def has_good_swap_option() -> bool:
+        game: Game,
+        profile: CPUProfile
+    ) -> bool:
         """Preview swap scores to check if any position is worth swapping into."""
         for pos in range(6):
             score = GolfAI.calculate_swap_score(
@@ -854,21 +829,62 @@ class GolfAI:
                 return True
         return False
 
+    @staticmethod
+    def should_take_discard(discard_card: Optional[Card], player: Player,
+                            profile: CPUProfile, game: Game) -> bool:
+        """Decide whether to take from discard pile or deck."""
+        if not discard_card:
+            return False
+
+        options = game.options
+        discard_value = get_ai_card_value(discard_card, options)
+
+        ai_log(f"--- {profile.name} considering discard: {discard_card.rank.value}{discard_card.suit.value} (value={discard_value}) ---")
+
+        # SAFEGUARD: If we have only 1 face-down card, taking from discard
+        # forces us to swap and go out. Check if that would be acceptable.
+        face_down = hidden_positions(player)
+        if len(face_down) == 1:
+            projected_score = project_score(player, face_down[0], discard_card, options)
+
+            max_acceptable = 18 if profile.aggression > 0.6 else (16 if profile.aggression > 0.3 else 14)
+            ai_log(f"  Go-out check: projected={projected_score}, max_acceptable={max_acceptable}")
+            if projected_score > max_acceptable:
+                if discard_value >= 0 and discard_card.rank not in (Rank.ACE, Rank.TWO, Rank.KING, Rank.JOKER):
+                    ai_log(f"  >> REJECT: would force go-out with {projected_score} pts")
+                    return False
+
+        # Unpredictable players occasionally make random choice
+        if random.random() < profile.unpredictability:
+            if discard_value <= 5:
+                return random.choice([True, False])
+
+        # Auto-take rules (Jokers, Kings, one-eyed Jacks, wolfpack, etc.)
+        auto_take = GolfAI._check_auto_take(discard_card, discard_value, player, options, profile)
+        if auto_take is not None:
+            return auto_take
+
+        # Take low cards (threshold adjusts by game phase)
+        phase = get_game_phase(game)
+        base_threshold = {'early': 2, 'mid': 3, 'late': 4}.get(phase, 2)
+
+        if discard_value <= base_threshold:
+            ai_log(f"  >> TAKE: low card (value {discard_value} <= {base_threshold} threshold for {phase} game)")
+            return True
+
+        # For marginal cards, preview swap scores before committing.
+        # Taking from discard FORCES a swap - don't take if no good swap exists.
+
         # Calculate end-game pressure from opponents close to going out
         pressure = get_end_game_pressure(player, game)
 
         # Under pressure, expand what we consider "worth taking"
-        # When opponents are close to going out, take decent cards to avoid
-        # getting stuck with unknown bad cards when the round ends
         if pressure > 0.2:
-            # Scale threshold: at pressure 0.2 take 4s, at 0.5+ take 6s
             pressure_threshold = 3 + int(pressure * 6)  # 4 to 9 based on pressure
             pressure_threshold = min(pressure_threshold, 7)  # Cap at 7
             if discard_value <= pressure_threshold:
-                # Only take if we have hidden cards that could be worse
                 if count_hidden(player) > 0:
-                    # CRITICAL: Verify there's actually a good swap position
+                    if GolfAI._has_good_swap_option(discard_card, discard_value, player, options, game, profile):
-                    if has_good_swap_option():
                         ai_log(f"  >> TAKE: pressure={pressure:.2f}, threshold={pressure_threshold}")
                         return True
                     else:
@@ -881,11 +897,8 @@ class GolfAI:
                 worst_visible = max(worst_visible, get_ai_card_value(card, options))
 
         if worst_visible > discard_value + 1:
-            # Sanity check: only take if we actually have something worse to replace
-            # This prevents taking a bad card when all visible cards are better
             if has_worse_visible_card(player, discard_value, options):
-                # CRITICAL: Verify there's actually a good swap position
+                if GolfAI._has_good_swap_option(discard_card, discard_value, player, options, game, profile):
-                if has_good_swap_option():
                     ai_log(f"  >> TAKE: have worse visible card ({worst_visible})")
                     return True
                 else:
@@ -894,6 +907,222 @@ class GolfAI:
         ai_log(f"  >> PASS: drawing from deck instead")
         return False
 
+    @staticmethod
+    def _pair_improvement(
+        pos: int,
+        drawn_card: Card,
+        drawn_value: int,
+        player: Player,
+        options: GameOptions,
+        profile: CPUProfile
+    ) -> float:
+        """Calculate pair bonus and spread bonus score components.
+
+        Section 1: Pair creation scoring (positive/negative/eagle_eye/negative_pairs_keep_value)
+        Section 1b: Spread bonus for non-pairing excellent cards
+        """
+        partner_pos = get_column_partner_position(pos)
+        partner_card = player.cards[partner_pos]
+
+        score = 0.0
+
+        # Personality-based weight modifiers
+        pair_weight = 1.0 + profile.pair_hope  # Range: 1.0 to 2.0
+        spread_weight = 2.0 - profile.pair_hope  # Range: 1.0 to 2.0 (inverse)
+
+        # 1. PAIR BONUS - Creating a pair
+        if partner_card.face_up and partner_card.rank == drawn_card.rank:
+            partner_value = get_ai_card_value(partner_card, options)
+
+            if drawn_value >= 0:
+                # Good pair! Both cards cancel to 0
+                pair_bonus = drawn_value + partner_value
+                score += pair_bonus * pair_weight
+            else:
+                # Pairing negative cards
+                if options.eagle_eye and drawn_card.rank == Rank.JOKER:
+                    score += 8 * pair_weight  # Eagle Eye Joker pairs = -4
+                elif options.negative_pairs_keep_value:
+                    pair_benefit = abs(drawn_value + partner_value)
+                    score += pair_benefit * pair_weight
+                    ai_log(f"    Negative pair keep value bonus: +{pair_benefit * pair_weight:.1f}")
+                else:
+                    # Standard rules: penalty for wasting negative cards
+                    penalty = abs(drawn_value) * 2 * (2.0 - profile.pair_hope)
+                    score -= penalty
+                    ai_log(f"    Negative pair penalty at pos {pos}: -{penalty:.1f} (score now={score:.2f})")
+
+        # 1b. SPREAD BONUS - Not pairing good cards (spreading them out)
+        if not partner_card.face_up or partner_card.rank != drawn_card.rank:
+            if drawn_value <= 1:  # Excellent cards (K, 2, A, Joker)
+                score += spread_weight * 0.5
+
+        return score
+
+    @staticmethod
+    def _point_gain(
+        pos: int,
+        drawn_card: Card,
+        drawn_value: int,
+        player: Player,
+        options: GameOptions,
+        profile: CPUProfile
+    ) -> float:
+        """Calculate point gain score component from replacing a card.
+
+        Handles face-up replacement (breaking pair, creating pair, normal swap)
+        and hidden card expected-value calculation with discount.
+        """
+        current_card = player.cards[pos]
+        partner_pos = get_column_partner_position(pos)
+        partner_card = player.cards[partner_pos]
+
+        if current_card.face_up:
+            current_value = get_ai_card_value(current_card, options)
+
+            # CRITICAL: Check if current card is part of an existing column pair
+            if partner_card.face_up and partner_card.rank == current_card.rank:
+                partner_value = get_ai_card_value(partner_card, options)
+
+                if options.eagle_eye and current_card.rank == Rank.JOKER:
+                    old_column_value = -4
+                    new_column_value = drawn_value + 2
+                    point_gain = old_column_value - new_column_value
+                    ai_log(f"    Breaking Eagle Eye joker pair at pos {pos}: column {old_column_value} -> {new_column_value}, gain={point_gain}")
+                elif options.negative_pairs_keep_value and (current_value < 0 or partner_value < 0):
+                    old_column_value = current_value + partner_value
+                    new_column_value = drawn_value + partner_value
+                    point_gain = old_column_value - new_column_value
+                    ai_log(f"    Breaking negative-keep pair at pos {pos}: column {old_column_value} -> {new_column_value}, gain={point_gain}")
+                else:
+                    old_column_value = 0
+                    new_column_value = drawn_value + partner_value
+                    point_gain = old_column_value - new_column_value
+                    ai_log(f"    Breaking standard pair at pos {pos}: column 0 -> {new_column_value}, gain={point_gain}")
+            elif partner_card.face_up and partner_card.rank == drawn_card.rank:
+                # CREATING a new pair (drawn matches partner, but current doesn't)
+                partner_value = get_ai_card_value(partner_card, options)
+                old_column_value = current_value + partner_value
+                if drawn_value < 0 and not options.negative_pairs_keep_value:
+                    if options.eagle_eye and drawn_card.rank == Rank.JOKER:
+                        new_column_value = -4
+                    else:
+                        new_column_value = 0
+                elif options.negative_pairs_keep_value and (drawn_value < 0 or partner_value < 0):
+                    new_column_value = drawn_value + partner_value
+                else:
+                    new_column_value = 0
+                point_gain = old_column_value - new_column_value
+                ai_log(f"    Creating pair at pos {pos}: column {old_column_value} -> {new_column_value}, gain={point_gain}")
+            else:
+                point_gain = current_value - drawn_value
+
+            return float(point_gain)
+        else:
+            # Hidden card - expected value ~4.5
+            creates_negative_pair = (
+                partner_card.face_up and
+                partner_card.rank == drawn_card.rank and
+                drawn_value < 0 and
+                not options.negative_pairs_keep_value and
+                not (options.eagle_eye and drawn_card.rank == Rank.JOKER)
+            )
+            if not creates_negative_pair:
+                expected_hidden = EXPECTED_HIDDEN_VALUE
+                point_gain = expected_hidden - drawn_value
+                discount = 0.5 + (profile.swap_threshold / 16)  # Range: 0.5 to 1.0
+                return point_gain * discount
+            return 0.0
+
+    @staticmethod
+    def _reveal_and_bonus_score(
+        pos: int,
+        drawn_card: Card,
+        drawn_value: int,
+        player: Player,
+        options: GameOptions,
+        game: Game,
+        profile: CPUProfile
+    ) -> float:
+        """Calculate reveal bonus and strategic bonus score components.
+
+        Sections 3-4d: reveal bonus, future pair potential, four-of-a-kind pursuit,
+        wolfpack pursuit, and comeback aggression.
+        """
+        current_card = player.cards[pos]
+        partner_pos = get_column_partner_position(pos)
+        partner_card = player.cards[partner_pos]
+
+        score = 0.0
+        pair_weight = 1.0 + profile.pair_hope
+
+        # 3. REVEAL BONUS - Value of revealing hidden cards
+        if not current_card.face_up:
+            reveal_bonus = min(count_hidden(player), 4)
+            aggression_multiplier = 0.8 + profile.aggression * 0.4  # Range: 0.8 to 1.2
+
+            if drawn_value <= 0:
+                score += reveal_bonus * 1.2 * aggression_multiplier
+            elif drawn_value == 1:
+                score += reveal_bonus * 1.0 * aggression_multiplier
+            elif drawn_value <= 4:
+                score += reveal_bonus * 0.6 * aggression_multiplier
+            elif drawn_value <= 6:
+                score += reveal_bonus * 0.3 * aggression_multiplier
+
+        # 4. FUTURE PAIR POTENTIAL
+        if not current_card.face_up and not partner_card.face_up:
+            pair_viability = get_pair_viability(drawn_card.rank, game)
+            score += pair_viability * pair_weight * 0.5
+
+        # 4b. FOUR OF A KIND PURSUIT
+        if options.four_of_a_kind:
+            rank_count = sum(
+                1 for i, c in enumerate(player.cards)
+                if c.face_up and c.rank == drawn_card.rank and i != pos
+            )
+            if rank_count >= 2:
+                four_kind_bonus = rank_count * 4
+                standings_pressure = get_standings_pressure(player, game)
+                if standings_pressure > 0.3:
+                    four_kind_bonus *= (1 + standings_pressure * 0.5)
+                score += four_kind_bonus
+                ai_log(f"    Four-of-a-kind pursuit bonus: +{four_kind_bonus:.1f}")
+
+        # 4c. WOLFPACK PURSUIT
+        if options.wolfpack and profile.aggression > 0.5:
+            jack_pair_count = 0
+            for col in range(3):
+                top, bot = player.cards[col], player.cards[col + 3]
+                if top.face_up and bot.face_up and top.rank == Rank.JACK and bot.rank == Rank.JACK:
+                    jack_pair_count += 1
+
+            visible_jacks = sum(1 for c in player.cards if c.face_up and c.rank == Rank.JACK)
+
+            if drawn_card.rank == Rank.JACK:
+                if jack_pair_count == 1:
+                    if partner_card.face_up and partner_card.rank == Rank.JACK:
+                        wolfpack_bonus = 15 * profile.aggression
+                        score += wolfpack_bonus
+                        ai_log(f"    Wolfpack pursuit: completing 2nd Jack pair! +{wolfpack_bonus:.1f}")
+                    elif not partner_card.face_up:
+                        wolfpack_bonus = 2 * profile.aggression
+                        score += wolfpack_bonus
+                        ai_log(f"    Wolfpack pursuit (speculative): +{wolfpack_bonus:.1f}")
+                elif visible_jacks >= 1 and partner_card.face_up and partner_card.rank == Rank.JACK:
+                    wolfpack_bonus = 8 * profile.aggression
+                    score += wolfpack_bonus
+                    ai_log(f"    Wolfpack pursuit: first Jack pair +{wolfpack_bonus:.1f}")
+
+        # 4d. COMEBACK AGGRESSION
+        standings_pressure = get_standings_pressure(player, game)
+        if standings_pressure > 0.3 and not current_card.face_up and drawn_value < HIGH_CARD_THRESHOLD:
+            comeback_bonus = standings_pressure * 3 * profile.aggression
+            score += comeback_bonus
+            ai_log(f"    Comeback aggression bonus: +{comeback_bonus:.1f} (pressure={standings_pressure:.2f})")
+
+        return score
+
     @staticmethod
     def calculate_swap_score(
         pos: int,
@@ -917,213 +1146,22 @@ class GolfAI:
         - aggression: higher = more willing to go out, take risks
         - swap_threshold: affects how picky about card values
         """
-        current_card = player.cards[pos]
-        partner_pos = get_column_partner_position(pos)
-        partner_card = player.cards[partner_pos]
-
         score = 0.0
 
-        # Personality-based weight modifiers
+        # 1/1b. Pair creation + spread bonus
-        # pair_hope: 0.0-1.0, affects how much we value pairing vs spreading
+        score += GolfAI._pair_improvement(pos, drawn_card, drawn_value, player, options, profile)
-        pair_weight = 1.0 + profile.pair_hope  # Range: 1.0 to 2.0
-        spread_weight = 2.0 - profile.pair_hope  # Range: 1.0 to 2.0 (inverse)
 
-        # 1. PAIR BONUS - Creating a pair
+        # 2. Point gain from replacement
-        #    pair_hope affects how much we value this
+        score += GolfAI._point_gain(pos, drawn_card, drawn_value, player, options, profile)
-        if partner_card.face_up and partner_card.rank == drawn_card.rank:
-            partner_value = get_ai_card_value(partner_card, options)
 
-            if drawn_value >= 0:
+        # 3-4d. Reveal bonus, future pair potential, four-of-a-kind, wolfpack, comeback
-                # Good pair! Both cards cancel to 0
+        score += GolfAI._reveal_and_bonus_score(pos, drawn_card, drawn_value, player, options, game, profile)
-                pair_bonus = drawn_value + partner_value
-                score += pair_bonus * pair_weight  # Pair hunters value this more
-            else:
-                # Pairing negative cards
-                if options.eagle_eye and drawn_card.rank == Rank.JOKER:
-                    score += 8 * pair_weight  # Eagle Eye Joker pairs = -4
-                elif options.negative_pairs_keep_value:
-                    # Negative Pairs Keep Value: pairing 2s/Jokers is NOW good!
-                    # Pair of 2s = -4, pair of Jokers = -4 (instead of 0)
-                    pair_benefit = abs(drawn_value + partner_value)
-                    score += pair_benefit * pair_weight
-                    ai_log(f"    Negative pair keep value bonus: +{pair_benefit * pair_weight:.1f}")
-                else:
-                    # Standard rules: penalty for wasting negative cards
-                    penalty = abs(drawn_value) * 2 * (2.0 - profile.pair_hope)
-                    score -= penalty
-                    ai_log(f"    Negative pair penalty at pos {pos}: -{penalty:.1f} (score now={score:.2f})")
-
-        # 1b. SPREAD BONUS - Not pairing good cards (spreading them out)
-        #     Players with low pair_hope prefer spreading aces/2s across columns
-        if not partner_card.face_up or partner_card.rank != drawn_card.rank:
-            if drawn_value <= 1:  # Excellent cards (K, 2, A, Joker)
-                # Small bonus for spreading - scales with spread preference
-                score += spread_weight * 0.5
-
-        # 2. POINT GAIN - Direct value improvement
-        if current_card.face_up:
-            current_value = get_ai_card_value(current_card, options)
-
-            # CRITICAL: Check if current card is part of an existing column pair
-            # If so, breaking the pair is usually terrible - the paired column is worth 0,
-            # but after breaking it becomes (drawn_value + orphaned_partner_value)
-            if partner_card.face_up and partner_card.rank == current_card.rank:
-                partner_value = get_ai_card_value(partner_card, options)
-
-                # Determine the current column value (what the pair contributes)
-                if options.eagle_eye and current_card.rank == Rank.JOKER:
-                    # Eagle Eye: paired jokers contribute -4 total
-                    old_column_value = -4
-                    # After swap: orphan joker becomes +2 (unpaired eagle_eye value)
-                    new_column_value = drawn_value + 2
-                    point_gain = old_column_value - new_column_value
-                    ai_log(f"    Breaking Eagle Eye joker pair at pos {pos}: column {old_column_value} -> {new_column_value}, gain={point_gain}")
-                elif options.negative_pairs_keep_value and (current_value < 0 or partner_value < 0):
-                    # Negative pairs keep value: column is worth sum of both values
-                    old_column_value = current_value + partner_value
-                    new_column_value = drawn_value + partner_value
-                    point_gain = old_column_value - new_column_value
-                    ai_log(f"    Breaking negative-keep pair at pos {pos}: column {old_column_value} -> {new_column_value}, gain={point_gain}")
-                else:
-                    # Standard pair - column is worth 0
-                    # After swap: column becomes drawn_value + partner_value
-                    old_column_value = 0
-                    new_column_value = drawn_value + partner_value
-                    point_gain = old_column_value - new_column_value
-                    ai_log(f"    Breaking standard pair at pos {pos}: column 0 -> {new_column_value}, gain={point_gain}")
-            elif partner_card.face_up and partner_card.rank == drawn_card.rank:
-                # CREATING a new pair (drawn matches partner, but current doesn't)
-                # Calculate column change properly
-                old_column_value = current_value + partner_value
-                # Determine new column value based on rules
-                if drawn_value < 0 and not options.negative_pairs_keep_value:
-                    if options.eagle_eye and drawn_card.rank == Rank.JOKER:
-                        new_column_value = -4
-                    else:
-                        new_column_value = 0  # Negative pair under standard rules
-                elif options.negative_pairs_keep_value and (drawn_value < 0 or partner_value < 0):
-                    new_column_value = drawn_value + partner_value
-                else:
-                    new_column_value = 0  # Standard positive pair
-                point_gain = old_column_value - new_column_value
-                ai_log(f"    Creating pair at pos {pos}: column {old_column_value} -> {new_column_value}, gain={point_gain}")
-            else:
-                # No existing pair, not creating pair - normal calculation
-                point_gain = current_value - drawn_value
-
-            score += point_gain
-        else:
-            # Hidden card - expected value ~4.5
-            # BUT: Don't add this bonus if we're creating a negative pair
-            # (the pair penalty already accounts for the bad outcome)
-            creates_negative_pair = (
-                partner_card.face_up and
-                partner_card.rank == drawn_card.rank and
-                drawn_value < 0 and
-                not options.negative_pairs_keep_value and
-                not (options.eagle_eye and drawn_card.rank == Rank.JOKER)
-            )
-            if not creates_negative_pair:
-                expected_hidden = EXPECTED_HIDDEN_VALUE
-                point_gain = expected_hidden - drawn_value
-                # Conservative players (low swap_threshold) discount uncertain gains more
-                discount = 0.5 + (profile.swap_threshold / 16)  # Range: 0.5 to 1.0
-                score += point_gain * discount
-
-        # 3. REVEAL BONUS - Value of revealing hidden cards
-        #    More aggressive players want to reveal faster to go out
-        if not current_card.face_up:
-            reveal_bonus = min(count_hidden(player), 4)
-
-            # Aggressive players get bigger reveal bonus (want to go out faster)
-            aggression_multiplier = 0.8 + profile.aggression * 0.4  # Range: 0.8 to 1.2
-
-            # Scale by card quality
-            if drawn_value <= 0:  # Excellent
-                score += reveal_bonus * 1.2 * aggression_multiplier
-            elif drawn_value == 1:  # Great
-                score += reveal_bonus * 1.0 * aggression_multiplier
-            elif drawn_value <= 4:  # Good
-                score += reveal_bonus * 0.6 * aggression_multiplier
-            elif drawn_value <= 6:  # Medium
-                score += reveal_bonus * 0.3 * aggression_multiplier
-            # Bad cards: no reveal bonus
-
-        # 4. FUTURE PAIR POTENTIAL
-        #    Pair hunters value positions where both cards are hidden
-        if not current_card.face_up and not partner_card.face_up:
-            pair_viability = get_pair_viability(drawn_card.rank, game)
-            score += pair_viability * pair_weight * 0.5
-
-        # 4b. FOUR OF A KIND PURSUIT
-        #     When four_of_a_kind rule is enabled, boost score for collecting 3rd/4th card
-        if options.four_of_a_kind:
-            # Count how many of this rank player already has visible (excluding current position)
-            rank_count = sum(
-                1 for i, c in enumerate(player.cards)
-                if c.face_up and c.rank == drawn_card.rank and i != pos
-            )
-            if rank_count >= 2:
-                # Already have 2+ of this rank, getting more is great for 4-of-a-kind
-                four_kind_bonus = rank_count * 4  # 8 for 2 cards, 12 for 3 cards
-                # Boost when behind in standings
-                standings_pressure = get_standings_pressure(player, game)
-                if standings_pressure > 0.3:
-                    four_kind_bonus *= (1 + standings_pressure * 0.5)  # Up to 50% boost
-                score += four_kind_bonus
-                ai_log(f"    Four-of-a-kind pursuit bonus: +{four_kind_bonus:.1f}")
-
-        # 4c. WOLFPACK PURSUIT - Aggressive players chase Jack pairs for -20 bonus
-        if options.wolfpack and profile.aggression > 0.5:
-            # Count Jack pairs already formed
-            jack_pair_count = 0
-            for col in range(3):
-                top, bot = player.cards[col], player.cards[col + 3]
-                if top.face_up and bot.face_up and top.rank == Rank.JACK and bot.rank == Rank.JACK:
-                    jack_pair_count += 1
-
-            # Count visible Jacks that could form pairs
-            visible_jacks = sum(1 for c in player.cards if c.face_up and c.rank == Rank.JACK)
-
-            if drawn_card.rank == Rank.JACK:
-                # Drawing a Jack - evaluate wolfpack potential
-                if jack_pair_count == 1:
-                    # Already have one pair! Second pair gives -20 bonus
-                    if partner_card.face_up and partner_card.rank == Rank.JACK:
-                        # Completing second Jack pair!
-                        wolfpack_bonus = 15 * profile.aggression
-                        score += wolfpack_bonus
-                        ai_log(f"    Wolfpack pursuit: completing 2nd Jack pair! +{wolfpack_bonus:.1f}")
-                    elif not partner_card.face_up:
-                        # Partner unknown - speculative wolfpack pursuit
-                        # Probability of unknown card being Jack is very low (~3%)
-                        # Expected value of swapping Jack into unknown is negative
-                        # Only give small bonus - not enough to override negative point_gain
-                        wolfpack_bonus = 2 * profile.aggression
-                        score += wolfpack_bonus
-                        ai_log(f"    Wolfpack pursuit (speculative): +{wolfpack_bonus:.1f}")
-                elif visible_jacks >= 1 and partner_card.face_up and partner_card.rank == Rank.JACK:
-                    # Completing first Jack pair while having other Jacks
-                    wolfpack_bonus = 8 * profile.aggression
-                    score += wolfpack_bonus
-                    ai_log(f"    Wolfpack pursuit: first Jack pair +{wolfpack_bonus:.1f}")
-
-        # 4d. COMEBACK AGGRESSION - Boost reveal bonus when behind in late game
-        # Only for cards that aren't objectively bad (value < 8)
-        # Don't incentivize locking in 8, 9, 10, J, Q just to "go out faster"
-        standings_pressure = get_standings_pressure(player, game)
-        if standings_pressure > 0.3 and not current_card.face_up and drawn_value < HIGH_CARD_THRESHOLD:
-            # Behind in standings - boost incentive to reveal and play faster
-            comeback_bonus = standings_pressure * 3 * profile.aggression
-            score += comeback_bonus
-            ai_log(f"    Comeback aggression bonus: +{comeback_bonus:.1f} (pressure={standings_pressure:.2f})")
 
         # 5. GO-OUT SAFETY - Penalty for going out with bad score
         face_down_positions = hidden_positions(player)
         if len(face_down_positions) == 1 and pos == face_down_positions[0]:
             projected_score = project_score(player, pos, drawn_card, options)
 
-            # Aggressive players accept higher scores when going out
             max_acceptable = GO_OUT_SCORE_BASE + int(profile.aggression * (GO_OUT_SCORE_MAX - GO_OUT_SCORE_BASE))
             if projected_score > max_acceptable:
                 score -= 100
@@ -1701,12 +1739,26 @@ class GolfAI:
         expected_hidden_total = len(face_down) * EXPECTED_HIDDEN_VALUE
         projected_score = visible_score + expected_hidden_total
 
-        # More aggressive players accept higher risk
+        # Tighter threshold: range 5 to 9 based on aggression
-        max_acceptable = 8 + int(profile.aggression * 10)  # Range: 8 to 18
+        max_acceptable = 5 + int(profile.aggression * 4)
+
+        # Exception: if all opponents are showing terrible scores, relax threshold
+        all_opponents_bad = all(
+            sum(get_ai_card_value(c, game.options) for c in p.cards if c.face_up) >= 25
+            for p in game.players if p.id != player.id
+        )
+        if all_opponents_bad:
+            max_acceptable += 5  # Willing to knock at higher score when winning big
 
         if projected_score <= max_acceptable:
-            # Add some randomness based on aggression
+            # Scale knock chance by how good the projected score is
-            knock_chance = profile.aggression * 0.4  # Max 40% for most aggressive
+            if projected_score <= 5:
+                knock_chance = profile.aggression * 0.3  # Max 30%
+            elif projected_score <= 7:
+                knock_chance = profile.aggression * 0.15  # Max 15%
+            else:
+                knock_chance = profile.aggression * 0.05  # Max 5% (very rare)
+
             if random.random() < knock_chance:
                 ai_log(f"  Knock early: taking the gamble! (projected {projected_score:.1f})")
                 return True

server/game.py

@@ -21,7 +21,7 @@ Card Layout:
 import random
 import uuid
 from collections import Counter
-from dataclasses import dataclass, field
+from dataclasses import asdict, dataclass, field
 from datetime import datetime, timezone
 from enum import Enum
 from typing import Optional, Callable, Any
@@ -130,11 +130,13 @@ class Card:
         suit: The card's suit (hearts, diamonds, clubs, spades).
         rank: The card's rank (A, 2-10, J, Q, K, or Joker).
         face_up: Whether the card is visible to all players.
+        deck_id: Which deck this card came from (0-indexed, for multi-deck games).
     """
 
     suit: Suit
     rank: Rank
     face_up: bool = False
+    deck_id: int = 0
 
     def to_dict(self, reveal: bool = False) -> dict:
         """
@@ -154,24 +156,27 @@ class Card:
             "suit": self.suit.value,
             "rank": self.rank.value,
             "face_up": self.face_up,
+            "deck_id": self.deck_id,
         }
 
     def to_client_dict(self) -> dict:
         """
         Convert card to dictionary for client display.
 
-        Hides card details if face-down to prevent cheating.
+        Hides card details if face-down to prevent cheating, but always
+        includes deck_id so the client can show the correct back color.
 
         Returns:
-            Dict with card info, or just {face_up: False} if hidden.
+            Dict with card info, or just {face_up: False, deck_id} if hidden.
         """
         if self.face_up:
             return {
                 "suit": self.suit.value,
                 "rank": self.rank.value,
                 "face_up": True,
+                "deck_id": self.deck_id,
             }
-        return {"face_up": False}
+        return {"face_up": False, "deck_id": self.deck_id}
 
     def value(self) -> int:
         """Get base point value (without house rule modifications)."""
@@ -210,20 +215,20 @@ class Deck:
         self.seed: int = seed if seed is not None else random.randint(0, 2**31 - 1)
 
         # Build deck(s) with standard cards
-        for _ in range(num_decks):
+        for deck_idx in range(num_decks):
             for suit in Suit:
                 for rank in Rank:
                     if rank != Rank.JOKER:
-                        self.cards.append(Card(suit, rank))
+                        self.cards.append(Card(suit, rank, deck_id=deck_idx))
 
             # Standard jokers: 2 per deck, worth -2 each
             if use_jokers and not lucky_swing:
-                self.cards.append(Card(Suit.HEARTS, Rank.JOKER))
+                self.cards.append(Card(Suit.HEARTS, Rank.JOKER, deck_id=deck_idx))
-                self.cards.append(Card(Suit.SPADES, Rank.JOKER))
+                self.cards.append(Card(Suit.SPADES, Rank.JOKER, deck_id=deck_idx))
 
         # Lucky Swing: Single joker total, worth -5
         if use_jokers and lucky_swing:
-            self.cards.append(Card(Suit.HEARTS, Rank.JOKER))
+            self.cards.append(Card(Suit.HEARTS, Rank.JOKER, deck_id=0))
 
         self.shuffle()
 
@@ -256,6 +261,12 @@ class Deck:
         """Return the number of cards left in the deck."""
         return len(self.cards)
 
+    def top_card_deck_id(self) -> Optional[int]:
+        """Return the deck_id of the top card (for showing correct back color)."""
+        if self.cards:
+            return self.cards[-1].deck_id
+        return None
+
     def add_cards(self, cards: list[Card]) -> None:
         """
         Add cards to the deck and shuffle.
@@ -498,6 +509,44 @@ class GameOptions:
     knock_early: bool = False
     """Allow going out early by flipping all remaining cards (max 2 face-down)."""
 
+    deck_colors: list[str] = field(default_factory=lambda: ["red", "blue", "gold"])
+    """Colors for card backs from different decks (in order by deck_id)."""
+
+    _ALLOWED_COLORS = {
+        "red", "blue", "gold", "teal", "purple", "orange", "yellow",
+        "green", "pink", "cyan", "brown", "slate",
+    }
+
+    @classmethod
+    def from_client_data(cls, data: dict) -> "GameOptions":
+        """Build GameOptions from client WebSocket message data."""
+        raw_deck_colors = data.get("deck_colors", ["red", "blue", "gold"])
+        deck_colors = [c for c in raw_deck_colors if c in cls._ALLOWED_COLORS]
+        if not deck_colors:
+            deck_colors = ["red", "blue", "gold"]
+
+        return cls(
+            flip_mode=data.get("flip_mode", "never"),
+            initial_flips=max(0, min(2, data.get("initial_flips", 2))),
+            knock_penalty=data.get("knock_penalty", False),
+            use_jokers=data.get("use_jokers", False),
+            lucky_swing=data.get("lucky_swing", False),
+            super_kings=data.get("super_kings", False),
+            ten_penny=data.get("ten_penny", False),
+            knock_bonus=data.get("knock_bonus", False),
+            underdog_bonus=data.get("underdog_bonus", False),
+            tied_shame=data.get("tied_shame", False),
+            blackjack=data.get("blackjack", False),
+            eagle_eye=data.get("eagle_eye", False),
+            wolfpack=data.get("wolfpack", False),
+            flip_as_action=data.get("flip_as_action", False),
+            four_of_a_kind=data.get("four_of_a_kind", False),
+            negative_pairs_keep_value=data.get("negative_pairs_keep_value", False),
+            one_eyed_jacks=data.get("one_eyed_jacks", False),
+            knock_early=data.get("knock_early", False),
+            deck_colors=deck_colors,
+        )
+
 
 @dataclass
 class Game:
@@ -543,6 +592,7 @@ class Game:
     players_with_final_turn: set = field(default_factory=set)
     initial_flips_done: set = field(default_factory=set)
     options: GameOptions = field(default_factory=GameOptions)
+    dealer_idx: int = 0
 
     # Event sourcing support
     game_id: str = field(default_factory=lambda: str(uuid.uuid4()))
@@ -711,6 +761,9 @@ class Game:
         for i, player in enumerate(self.players):
             if player.id == player_id:
                 removed = self.players.pop(i)
+                # Adjust dealer_idx if needed after removal
+                if self.players and self.dealer_idx >= len(self.players):
+                    self.dealer_idx = 0
                 self._emit("player_left", player_id=player_id, reason=reason)
                 return removed
         return None
@@ -772,26 +825,49 @@ class Game:
 
     def _options_to_dict(self) -> dict:
         """Convert GameOptions to dictionary for event storage."""
-        return {
+        return asdict(self.options)
-            "flip_mode": self.options.flip_mode,
+
-            "initial_flips": self.options.initial_flips,
+    # Boolean rules that map directly to display names
-            "knock_penalty": self.options.knock_penalty,
+    _RULE_DISPLAY = [
-            "use_jokers": self.options.use_jokers,
+        ("knock_penalty", "Knock Penalty"),
-            "lucky_swing": self.options.lucky_swing,
+        ("lucky_swing", "Lucky Swing"),
-            "super_kings": self.options.super_kings,
+        ("eagle_eye", "Eagle-Eye"),
-            "ten_penny": self.options.ten_penny,
+        ("super_kings", "Super Kings"),
-            "knock_bonus": self.options.knock_bonus,
+        ("ten_penny", "Ten Penny"),
-            "underdog_bonus": self.options.underdog_bonus,
+        ("knock_bonus", "Knock Bonus"),
-            "tied_shame": self.options.tied_shame,
+        ("underdog_bonus", "Underdog"),
-            "blackjack": self.options.blackjack,
+        ("tied_shame", "Tied Shame"),
-            "eagle_eye": self.options.eagle_eye,
+        ("blackjack", "Blackjack"),
-            "wolfpack": self.options.wolfpack,
+        ("wolfpack", "Wolfpack"),
-            "flip_as_action": self.options.flip_as_action,
+        ("flip_as_action", "Flip as Action"),
-            "four_of_a_kind": self.options.four_of_a_kind,
+        ("four_of_a_kind", "Four of a Kind"),
-            "negative_pairs_keep_value": self.options.negative_pairs_keep_value,
+        ("negative_pairs_keep_value", "Negative Pairs Keep Value"),
-            "one_eyed_jacks": self.options.one_eyed_jacks,
+        ("one_eyed_jacks", "One-Eyed Jacks"),
-            "knock_early": self.options.knock_early,
+        ("knock_early", "Early Knock"),
-        }
+    ]
+
+    def _get_active_rules(self) -> list[str]:
+        """Build list of active house rule display names."""
+        rules = []
+        if not self.options:
+            return rules
+
+        # Special: flip mode
+        if self.options.flip_mode == FlipMode.ALWAYS.value:
+            rules.append("Speed Golf")
+        elif self.options.flip_mode == FlipMode.ENDGAME.value:
+            rules.append("Endgame Flip")
+
+        # Special: jokers (only if not overridden by lucky_swing/eagle_eye)
+        if self.options.use_jokers and not self.options.lucky_swing and not self.options.eagle_eye:
+            rules.append("Jokers")
+
+        # Boolean rules
+        for attr, display_name in self._RULE_DISPLAY:
+            if getattr(self.options, attr):
+                rules.append(display_name)
+
+        return rules
 
     def start_round(self) -> None:
         """
@@ -838,7 +914,12 @@ class Game:
                 "suit": first_discard.suit.value,
             }
 
-        self.current_player_index = 0
+        # Rotate dealer clockwise each round (first round: host deals)
+        if self.current_round > 1:
+            self.dealer_idx = (self.dealer_idx + 1) % len(self.players)
+
+        # First player is to the left of dealer (next in order)
+        self.current_player_index = (self.dealer_idx + 1) % len(self.players)
 
         # Emit round_started event with deck seed and all dealt cards
         self._emit(
@@ -847,6 +928,7 @@ class Game:
             deck_seed=self.deck.seed,
             dealt_cards=dealt_cards,
             first_discard=first_discard_dict,
+            current_player_idx=self.current_player_index,
         )
 
         # Skip initial flip phase if 0 flips required
@@ -1518,56 +1600,22 @@ class Game:
 
         discard_top = self.discard_top()
 
-        # Build active rules list for display
+        active_rules = self._get_active_rules()
-        active_rules = []
-        if self.options:
-            if self.options.flip_mode == FlipMode.ALWAYS.value:
-                active_rules.append("Speed Golf")
-            elif self.options.flip_mode == FlipMode.ENDGAME.value:
-                active_rules.append("Endgame Flip")
-            if self.options.knock_penalty:
-                active_rules.append("Knock Penalty")
-            if self.options.use_jokers and not self.options.lucky_swing and not self.options.eagle_eye:
-                active_rules.append("Jokers")
-            if self.options.lucky_swing:
-                active_rules.append("Lucky Swing")
-            if self.options.eagle_eye:
-                active_rules.append("Eagle-Eye")
-            if self.options.super_kings:
-                active_rules.append("Super Kings")
-            if self.options.ten_penny:
-                active_rules.append("Ten Penny")
-            if self.options.knock_bonus:
-                active_rules.append("Knock Bonus")
-            if self.options.underdog_bonus:
-                active_rules.append("Underdog")
-            if self.options.tied_shame:
-                active_rules.append("Tied Shame")
-            if self.options.blackjack:
-                active_rules.append("Blackjack")
-            if self.options.wolfpack:
-                active_rules.append("Wolfpack")
-            # New house rules
-            if self.options.flip_as_action:
-                active_rules.append("Flip as Action")
-            if self.options.four_of_a_kind:
-                active_rules.append("Four of a Kind")
-            if self.options.negative_pairs_keep_value:
-                active_rules.append("Negative Pairs Keep Value")
-            if self.options.one_eyed_jacks:
-                active_rules.append("One-Eyed Jacks")
-            if self.options.knock_early:
-                active_rules.append("Early Knock")
 
         return {
             "phase": self.phase.value,
             "players": players_data,
             "current_player_id": current.id if current else None,
+            "dealer_id": self.players[self.dealer_idx].id if self.players else None,
+            "dealer_idx": self.dealer_idx,
             "discard_top": discard_top.to_dict(reveal=True) if discard_top else None,
             "deck_remaining": self.deck.cards_remaining() if self.deck else 0,
+            "deck_top_deck_id": self.deck.top_card_deck_id() if self.deck else None,
             "current_round": self.current_round,
             "total_rounds": self.num_rounds,
             "has_drawn_card": self.drawn_card is not None,
+            "drawn_card": self.drawn_card.to_dict(reveal=True) if self.drawn_card else None,
+            "drawn_player_id": current.id if current and self.drawn_card else None,
             "can_discard": self.can_discard_drawn() if self.drawn_card else True,
             "waiting_for_initial_flip": (
                 self.phase == GamePhase.INITIAL_FLIP and
@@ -1579,6 +1627,8 @@ class Game:
             "flip_is_optional": self.flip_is_optional,
             "flip_as_action": self.options.flip_as_action,
             "knock_early": self.options.knock_early,
+            "finisher_id": self.finisher_id,
             "card_values": self.get_card_values(),
             "active_rules": active_rules,
+            "deck_colors": self.options.deck_colors,
         }

server/models/game_state.py

@@ -237,7 +237,7 @@ class RebuiltGameState:
         self.initial_flips_done = set()
         self.drawn_card = None
         self.drawn_from_discard = False
-        self.current_player_idx = 0
+        self.current_player_idx = event.data.get("current_player_idx", 0)
         self.discard_pile = []
 
         # Deal cards to players (all face-down)

server/test_ai_decisions.py

@@ -0,0 +1,683 @@
+"""
+Test suite for AI decision sub-functions extracted from ai.py.
+
+Covers:
+- _pair_improvement(): pair bonus / negative pair / spread bonus
+- _point_gain(): face-up replacement, hidden card discount
+- _reveal_and_bonus_score(): reveal scaling, comeback bonus
+- _check_auto_take(): joker/king/one-eyed-jack/wolfpack auto-takes
+- _has_good_swap_option(): good/bad swap previews
+- calculate_swap_score(): go-out safety penalty
+- should_take_discard(): integration of sub-decisions
+- should_knock_early(): knock timing decisions
+
+Run with: pytest test_ai_decisions.py -v
+"""
+
+import pytest
+from game import (
+    Card, Deck, Player, Game, GamePhase, GameOptions,
+    Suit, Rank, RANK_VALUES
+)
+from ai import GolfAI, CPUProfile, get_ai_card_value
+
+
+# =============================================================================
+# Helpers (shared with test_v3_features.py pattern)
+# =============================================================================
+
+def make_game(num_players=2, options=None, rounds=1):
+    """Create a game with N players, dealt and in PLAYING phase."""
+    opts = options or GameOptions()
+    game = Game(num_rounds=rounds, options=opts)
+    for i in range(num_players):
+        game.add_player(Player(id=f"p{i}", name=f"Player {i}"))
+    game.start_round()
+    if game.phase == GamePhase.INITIAL_FLIP:
+        for p in game.players:
+            game.flip_initial_cards(p.id, [0, 1])
+    return game
+
+
+def set_hand(player, ranks, face_up=True):
+    """Set player hand to specific ranks (all hearts, all face-up by default)."""
+    player.cards = [
+        Card(Suit.HEARTS, rank, face_up=face_up) for rank in ranks
+    ]
+
+
+def flip_all_but(player, keep_down=0):
+    """Flip all cards face-up except `keep_down` cards (from the end)."""
+    for i, card in enumerate(player.cards):
+        card.face_up = i < len(player.cards) - keep_down
+
+
+def make_profile(**overrides):
+    """Create a CPUProfile with sensible defaults, overridable."""
+    defaults = dict(
+        name="TestBot",
+        style="balanced",
+        pair_hope=0.5,
+        aggression=0.5,
+        swap_threshold=4,
+        unpredictability=0.0,  # Deterministic by default for tests
+    )
+    defaults.update(overrides)
+    return CPUProfile(**defaults)
+
+
+# =============================================================================
+# _pair_improvement
+# =============================================================================
+
+class TestPairImprovement:
+    """Test pair bonus and spread bonus scoring."""
+
+    def test_positive_pair_bonus(self):
+        """Pairing two positive cards should yield a positive score."""
+        game = make_game()
+        player = game.players[0]
+        # Position 0 has a 7, partner (pos 3) has a 7 face-up
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.SEVEN, Rank.FOUR, Rank.SIX])
+        profile = make_profile(pair_hope=0.5)
+        drawn_card = Card(Suit.DIAMONDS, Rank.SEVEN)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        score = GolfAI._pair_improvement(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        # Pairing two 7s: bonus = (7+7) * pair_weight(1.5) = 21
+        assert score > 0
+
+    def test_negative_pair_penalty_standard(self):
+        """Under standard rules, pairing negative cards is penalized."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.TWO, Rank.THREE, Rank.FIVE,
+                          Rank.TWO, Rank.FOUR, Rank.SIX])
+        profile = make_profile(pair_hope=0.5)
+        drawn_card = Card(Suit.DIAMONDS, Rank.TWO)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        score = GolfAI._pair_improvement(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        # Penalty for wasting negative cards under standard rules
+        assert score < 0
+
+    def test_eagle_eye_joker_pair_bonus(self):
+        """Eagle Eye Joker pairs should get a large bonus."""
+        opts = GameOptions(eagle_eye=True)
+        game = make_game(options=opts)
+        player = game.players[0]
+        set_hand(player, [Rank.JOKER, Rank.THREE, Rank.FIVE,
+                          Rank.JOKER, Rank.FOUR, Rank.SIX])
+        profile = make_profile(pair_hope=0.5)
+        drawn_card = Card(Suit.DIAMONDS, Rank.JOKER)
+        drawn_value = get_ai_card_value(drawn_card, opts)
+
+        score = GolfAI._pair_improvement(
+            0, drawn_card, drawn_value, player, opts, profile
+        )
+        # Eagle Eye Joker pairs = 8 * pair_weight
+        assert score > 0
+
+    def test_negative_pairs_keep_value(self):
+        """With negative_pairs_keep_value, pairing 2s should be good."""
+        opts = GameOptions(negative_pairs_keep_value=True)
+        game = make_game(options=opts)
+        player = game.players[0]
+        set_hand(player, [Rank.TWO, Rank.THREE, Rank.FIVE,
+                          Rank.TWO, Rank.FOUR, Rank.SIX])
+        profile = make_profile(pair_hope=0.5)
+        drawn_card = Card(Suit.DIAMONDS, Rank.TWO)
+        drawn_value = get_ai_card_value(drawn_card, opts)
+
+        score = GolfAI._pair_improvement(
+            0, drawn_card, drawn_value, player, opts, profile
+        )
+        assert score > 0
+
+    def test_spread_bonus_for_excellent_card(self):
+        """Spreading an Ace across columns should get a spread bonus."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile(pair_hope=0.0)  # Spreader, not pair hunter
+        drawn_card = Card(Suit.DIAMONDS, Rank.ACE)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        score = GolfAI._pair_improvement(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        # spread_weight = 2.0, bonus = 2.0 * 0.5 = 1.0
+        assert score == pytest.approx(1.0)
+
+    def test_no_spread_bonus_for_bad_card(self):
+        """No spread bonus for high-value cards."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile(pair_hope=0.0)
+        drawn_card = Card(Suit.DIAMONDS, Rank.NINE)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        score = GolfAI._pair_improvement(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        assert score == 0.0
+
+
+# =============================================================================
+# _point_gain
+# =============================================================================
+
+class TestPointGain:
+    """Test point gain from replacing cards."""
+
+    def test_replace_high_with_low(self):
+        """Replacing a face-up 10 with a 3 should give positive point gain."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.TEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+        drawn_card = Card(Suit.DIAMONDS, Rank.THREE)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        gain = GolfAI._point_gain(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        # 10 - 3 = 7
+        assert gain == pytest.approx(7.0)
+
+    def test_breaking_pair_is_bad(self):
+        """Breaking an existing pair should produce a negative point gain."""
+        game = make_game()
+        player = game.players[0]
+        # Column 0: positions 0 and 3 are both 5s (paired)
+        set_hand(player, [Rank.FIVE, Rank.THREE, Rank.EIGHT,
+                          Rank.FIVE, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+        drawn_card = Card(Suit.DIAMONDS, Rank.FOUR)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        gain = GolfAI._point_gain(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        # Breaking pair: old_column=0, new_column=4+5=9, gain=0-9=-9
+        assert gain < 0
+
+    def test_creating_pair(self):
+        """Creating a new pair should produce a positive point gain."""
+        game = make_game()
+        player = game.players[0]
+        # Position 0 has 9, partner (pos 3) has 5. Draw a 5 to pair with pos 3.
+        set_hand(player, [Rank.NINE, Rank.THREE, Rank.EIGHT,
+                          Rank.FIVE, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+        drawn_card = Card(Suit.DIAMONDS, Rank.FIVE)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        gain = GolfAI._point_gain(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        # Creating pair: old_column=9+5=14, new_column=0, gain=14
+        assert gain > 0
+
+    def test_hidden_card_discount(self):
+        """Hidden card replacement should use expected value with discount."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.TEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        player.cards[0].face_up = False  # Position 0 is hidden
+        profile = make_profile(swap_threshold=4)
+        drawn_card = Card(Suit.DIAMONDS, Rank.ACE)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        gain = GolfAI._point_gain(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        # expected_hidden=4.5, drawn_value=1, gain=(4.5-1)*discount
+        # discount = 0.5 + (4/16) = 0.75
+        assert gain == pytest.approx((4.5 - 1) * 0.75)
+
+    def test_hidden_card_negative_pair_no_bonus(self):
+        """No point gain bonus when creating a negative pair on hidden card."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.TWO, Rank.THREE, Rank.FIVE,
+                          Rank.TWO, Rank.FOUR, Rank.SIX])
+        player.cards[0].face_up = False  # Position 0 hidden
+        # Partner (pos 3) is face-up TWO
+        profile = make_profile()
+        drawn_card = Card(Suit.DIAMONDS, Rank.TWO)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        gain = GolfAI._point_gain(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        # Creates negative pair → returns 0.0
+        assert gain == 0.0
+
+
+# =============================================================================
+# _reveal_and_bonus_score
+# =============================================================================
+
+class TestRevealAndBonusScore:
+    """Test reveal bonus, comeback bonus, and strategic bonuses."""
+
+    def test_reveal_bonus_scales_by_quality(self):
+        """Better cards get bigger reveal bonuses."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.TEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        player.cards[0].face_up = False
+        player.cards[3].face_up = False
+        profile = make_profile(aggression=0.5)
+
+        # Excellent card (value 0)
+        king = Card(Suit.DIAMONDS, Rank.KING)
+        king_score = GolfAI._reveal_and_bonus_score(
+            0, king, 0, player, game.options, game, profile
+        )
+
+        # Bad card (value 8)
+        eight = Card(Suit.DIAMONDS, Rank.EIGHT)
+        eight_score = GolfAI._reveal_and_bonus_score(
+            0, eight, 8, player, game.options, game, profile
+        )
+
+        assert king_score > eight_score
+
+    def test_comeback_bonus_when_behind(self):
+        """Player behind in standings should get a comeback bonus."""
+        opts = GameOptions()
+        game = make_game(options=opts, rounds=5)
+        player = game.players[0]
+        player.total_score = 40  # Behind
+        game.players[1].total_score = 10  # Leader
+        game.current_round = 4  # Late game
+
+        set_hand(player, [Rank.TEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        player.cards[0].face_up = False
+        profile = make_profile(aggression=0.8)
+
+        drawn_card = Card(Suit.DIAMONDS, Rank.THREE)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        score = GolfAI._reveal_and_bonus_score(
+            0, drawn_card, drawn_value, player, game.options, game, profile
+        )
+        # Should include comeback bonus (standings_pressure > 0.3, hidden card, value < 8)
+        assert score > 0
+
+    def test_no_comeback_for_high_card(self):
+        """No comeback bonus for cards with value >= 8."""
+        opts = GameOptions()
+        game = make_game(options=opts, rounds=5)
+        player = game.players[0]
+        player.total_score = 40
+        game.players[1].total_score = 10
+        game.current_round = 4
+
+        set_hand(player, [Rank.TEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        player.cards[0].face_up = False
+        profile = make_profile(aggression=0.8)
+
+        # Draw a Queen (value 10 >= 8)
+        drawn_card = Card(Suit.DIAMONDS, Rank.QUEEN)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        score_with_queen = GolfAI._reveal_and_bonus_score(
+            0, drawn_card, drawn_value, player, game.options, game, profile
+        )
+        # Bad cards get no reveal bonus and no comeback bonus
+        # So score should be 0 or very small (only future pair potential)
+        assert score_with_queen < 2.0
+
+
+# =============================================================================
+# _check_auto_take
+# =============================================================================
+
+class TestCheckAutoTake:
+    """Test auto-take rules for discard pile decisions."""
+
+    def test_always_take_joker(self):
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+        joker = Card(Suit.HEARTS, Rank.JOKER)
+        value = get_ai_card_value(joker, game.options)
+
+        result = GolfAI._check_auto_take(joker, value, player, game.options, profile)
+        assert result is True
+
+    def test_always_take_king(self):
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+        king = Card(Suit.HEARTS, Rank.KING)
+        value = get_ai_card_value(king, game.options)
+
+        result = GolfAI._check_auto_take(king, value, player, game.options, profile)
+        assert result is True
+
+    def test_one_eyed_jack_auto_take(self):
+        opts = GameOptions(one_eyed_jacks=True)
+        game = make_game(options=opts)
+        player = game.players[0]
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+
+        # J♥ is one-eyed
+        jack_hearts = Card(Suit.HEARTS, Rank.JACK)
+        value = get_ai_card_value(jack_hearts, opts)
+        result = GolfAI._check_auto_take(jack_hearts, value, player, opts, profile)
+        assert result is True
+
+        # J♦ is NOT one-eyed
+        jack_diamonds = Card(Suit.DIAMONDS, Rank.JACK)
+        value = get_ai_card_value(jack_diamonds, opts)
+        result = GolfAI._check_auto_take(jack_diamonds, value, player, opts, profile)
+        assert result is None  # No auto-take
+
+    def test_wolfpack_jack_pursuit(self):
+        opts = GameOptions(wolfpack=True)
+        game = make_game(options=opts)
+        player = game.players[0]
+        # Player has 2 visible Jacks
+        set_hand(player, [Rank.JACK, Rank.JACK, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile(aggression=0.8)
+
+        jack = Card(Suit.DIAMONDS, Rank.JACK)
+        value = get_ai_card_value(jack, opts)
+        result = GolfAI._check_auto_take(jack, value, player, opts, profile)
+        assert result is True
+
+    def test_wolfpack_jack_not_aggressive_enough(self):
+        opts = GameOptions(wolfpack=True)
+        game = make_game(options=opts)
+        player = game.players[0]
+        set_hand(player, [Rank.JACK, Rank.JACK, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile(aggression=0.3)  # Too passive
+
+        jack = Card(Suit.DIAMONDS, Rank.JACK)
+        value = get_ai_card_value(jack, opts)
+        result = GolfAI._check_auto_take(jack, value, player, opts, profile)
+        assert result is None
+
+    def test_ten_penny_auto_take(self):
+        opts = GameOptions(ten_penny=True)
+        game = make_game(options=opts)
+        player = game.players[0]
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+
+        ten = Card(Suit.HEARTS, Rank.TEN)
+        value = get_ai_card_value(ten, opts)
+        result = GolfAI._check_auto_take(ten, value, player, opts, profile)
+        assert result is True
+
+    def test_pair_potential_auto_take(self):
+        """Take card that can pair with a visible card."""
+        game = make_game()
+        player = game.players[0]
+        # Position 0 has a 7 face-up, partner (pos 3) is face-down
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        player.cards[3].face_up = False
+        profile = make_profile()
+
+        seven = Card(Suit.DIAMONDS, Rank.SEVEN)
+        value = get_ai_card_value(seven, game.options)
+        result = GolfAI._check_auto_take(seven, value, player, game.options, profile)
+        assert result is True
+
+    def test_no_auto_take_for_mediocre_card(self):
+        """A random 8 should not be auto-taken."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.FOUR, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+
+        eight = Card(Suit.HEARTS, Rank.EIGHT)
+        value = get_ai_card_value(eight, game.options)
+        result = GolfAI._check_auto_take(eight, value, player, game.options, profile)
+        assert result is None
+
+
+# =============================================================================
+# _has_good_swap_option
+# =============================================================================
+
+class TestHasGoodSwapOption:
+
+    def test_good_swap_available(self):
+        """With high cards in hand and a low card to swap, should return True."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.TEN, Rank.QUEEN, Rank.NINE,
+                          Rank.EIGHT, Rank.JACK, Rank.SEVEN])
+        profile = make_profile()
+        drawn_card = Card(Suit.DIAMONDS, Rank.ACE)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        result = GolfAI._has_good_swap_option(
+            drawn_card, drawn_value, player, game.options, game, profile
+        )
+        assert result is True
+
+    def test_no_good_swap(self):
+        """With all low cards in hand and a high card, should return False."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.ACE, Rank.TWO, Rank.KING,
+                          Rank.ACE, Rank.TWO, Rank.KING])
+        profile = make_profile()
+        drawn_card = Card(Suit.DIAMONDS, Rank.QUEEN)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        result = GolfAI._has_good_swap_option(
+            drawn_card, drawn_value, player, game.options, game, profile
+        )
+        assert result is False
+
+
+# =============================================================================
+# calculate_swap_score (integration: go-out safety)
+# =============================================================================
+
+class TestCalculateSwapScore:
+
+    def test_go_out_safety_penalty(self):
+        """Going out with a bad score should apply a -100 penalty."""
+        game = make_game()
+        player = game.players[0]
+        # All face-up except position 5, hand is all high cards
+        set_hand(player, [Rank.TEN, Rank.QUEEN, Rank.NINE,
+                          Rank.EIGHT, Rank.JACK, Rank.SEVEN])
+        player.cards[5].face_up = False  # Only pos 5 is hidden
+        profile = make_profile(aggression=0.0)  # Conservative
+
+        # Draw a Queen (bad card) - swapping into the only hidden pos would go out
+        drawn_card = Card(Suit.DIAMONDS, Rank.QUEEN)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        score = GolfAI.calculate_swap_score(
+            5, drawn_card, drawn_value, player, game.options, game, profile
+        )
+        # Should be heavily penalized (projected score would be terrible)
+        assert score < -50
+
+    def test_components_sum_correctly(self):
+        """Verify calculate_swap_score equals sum of sub-functions plus go-out check."""
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.TEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+
+        drawn_card = Card(Suit.DIAMONDS, Rank.ACE)
+        drawn_value = get_ai_card_value(drawn_card, game.options)
+
+        total = GolfAI.calculate_swap_score(
+            0, drawn_card, drawn_value, player, game.options, game, profile
+        )
+        pair = GolfAI._pair_improvement(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        point = GolfAI._point_gain(
+            0, drawn_card, drawn_value, player, game.options, profile
+        )
+        bonus = GolfAI._reveal_and_bonus_score(
+            0, drawn_card, drawn_value, player, game.options, game, profile
+        )
+
+        # No go-out safety penalty here (not the last hidden card)
+        assert total == pytest.approx(pair + point + bonus)
+
+
+# =============================================================================
+# should_take_discard (integration)
+# =============================================================================
+
+class TestShouldTakeDiscard:
+
+    def test_take_joker(self):
+        game = make_game()
+        player = game.players[0]
+        set_hand(player, [Rank.SEVEN, Rank.THREE, Rank.FIVE,
+                          Rank.EIGHT, Rank.FOUR, Rank.SIX])
+        profile = make_profile()
+        joker = Card(Suit.HEARTS, Rank.JOKER)
+
+        result = GolfAI.should_take_discard(joker, player, profile, game)
+        assert result is True
+
+    def test_pass_on_none(self):
+        game = make_game()
+        player = game.players[0]
+        profile = make_profile()
+
+        result = GolfAI.should_take_discard(None, player, profile, game)
+        assert result is False
+
+    def test_go_out_safeguard_rejects_bad_card(self):
+        """With 1 hidden card and bad projected score, should reject mediocre discard."""
+        game = make_game()
+        player = game.players[0]
+        # All face-up except position 5, hand is all high cards
+        set_hand(player, [Rank.TEN, Rank.QUEEN, Rank.NINE,
+                          Rank.EIGHT, Rank.JACK, Rank.SEVEN])
+        player.cards[5].face_up = False
+        profile = make_profile(aggression=0.0)
+
+        # A 6 is mediocre - go-out check should reject since projected score is terrible
+        six = Card(Suit.HEARTS, Rank.SIX)
+        result = GolfAI.should_take_discard(six, player, profile, game)
+        assert result is False
+
+
+# =============================================================================
+# should_knock_early
+# =============================================================================
+
+class TestShouldKnockEarly:
+
+    def test_requires_knock_early_option(self):
+        game = make_game()
+        player = game.players[0]
+        flip_all_but(player, keep_down=1)
+        profile = make_profile(aggression=1.0)
+
+        result = GolfAI.should_knock_early(game, player, profile)
+        assert result is False
+
+    def test_no_knock_with_many_hidden(self):
+        """Should not knock with more than 2 face-down cards."""
+        opts = GameOptions(knock_early=True)
+        game = make_game(options=opts)
+        player = game.players[0]
+        flip_all_but(player, keep_down=3)
+        profile = make_profile(aggression=1.0)
+
+        result = GolfAI.should_knock_early(game, player, profile)
+        assert result is False
+
+    def test_no_knock_all_face_up(self):
+        """Should not knock with 0 face-down cards."""
+        opts = GameOptions(knock_early=True)
+        game = make_game(options=opts)
+        player = game.players[0]
+        for card in player.cards:
+            card.face_up = True
+        profile = make_profile(aggression=1.0)
+
+        result = GolfAI.should_knock_early(game, player, profile)
+        assert result is False
+
+    def test_low_aggression_unlikely_to_knock(self):
+        """Conservative players should almost never knock early."""
+        opts = GameOptions(knock_early=True, initial_flips=0)
+        game = make_game(options=opts)
+        player = game.players[0]
+        # Good hand but passive player
+        set_hand(player, [Rank.ACE, Rank.TWO, Rank.KING,
+                          Rank.ACE, Rank.TWO, Rank.THREE])
+        player.cards[5].face_up = False  # 1 hidden
+        profile = make_profile(aggression=0.0)
+
+        # With aggression=0.0, knock_chance = 0.0 → never knocks
+        result = GolfAI.should_knock_early(game, player, profile)
+        assert result is False
+
+    def test_high_projected_score_never_knocks(self):
+        """Projected score >9 with normal opponents should always reject."""
+        opts = GameOptions(knock_early=True, initial_flips=0)
+        game = make_game(options=opts)
+        player = game.players[0]
+        # Mediocre hand: visible 8+7+6 = 21, plus 1 hidden (~4.5) → ~25.5
+        set_hand(player, [Rank.EIGHT, Rank.SEVEN, Rank.SIX,
+                          Rank.FOUR, Rank.FIVE, Rank.NINE])
+        player.cards[5].face_up = False  # 1 hidden
+        profile = make_profile(aggression=1.0)
+
+        # max_acceptable = 5 + 4 = 9, projected ~25.5 >> 9
+        for _ in range(50):
+            result = GolfAI.should_knock_early(game, player, profile)
+            assert result is False
+
+    def test_low_aggression_mediocre_hand_never_knocks(self):
+        """Low aggression with a middling hand should never knock."""
+        opts = GameOptions(knock_early=True, initial_flips=0)
+        game = make_game(options=opts)
+        player = game.players[0]
+        # Decent but not great: visible 1+2+5 = 8, plus 1 hidden (~4.5) → ~12.5
+        set_hand(player, [Rank.ACE, Rank.TWO, Rank.FIVE,
+                          Rank.THREE, Rank.FOUR, Rank.SIX])
+        player.cards[5].face_up = False  # 1 hidden
+        profile = make_profile(aggression=0.2)
+
+        # max_acceptable = 5 + 0 = 5, projected ~12.5 >> 5
+        for _ in range(50):
+            result = GolfAI.should_knock_early(game, player, profile)
+            assert result is False

server/test_house_rules.py

@@ -138,7 +138,7 @@ def run_game_with_options(options: GameOptions, num_players: int = 4) -> tuple[l
         return [], 0, f"Exception: {str(e)}"
 
 
-def test_rule_config(name: str, options: GameOptions, num_games: int = 50) -> RuleTestResult:
+def run_rule_config(name: str, options: GameOptions, num_games: int = 50) -> RuleTestResult:
     """Test a specific rule configuration."""
 
     all_scores = []
@@ -516,7 +516,7 @@ def main():
 
     for i, (name, options) in enumerate(configs):
         print(f"[{i+1}/{len(configs)}] Testing: {name}...")
-        result = test_rule_config(name, options, num_games)
+        result = run_rule_config(name, options, num_games)
         results.append(result)
 
         # Quick status

server/tests/test_event_replay.py

@@ -125,8 +125,9 @@ class TestEventEmission:
         game, collector = create_test_game(num_players=2)
         game.start_game(num_decks=1, num_rounds=1, options=GameOptions(initial_flips=0))
 
+        current = game.current_player()
         initial_count = len(collector.events)
-        card = game.draw_card("p1", "deck")
+        card = game.draw_card(current.id, "deck")
 
         assert card is not None
         new_events = collector.events[initial_count:]
@@ -134,7 +135,7 @@ class TestEventEmission:
 
         assert len(draw_events) == 1
         event = draw_events[0]
-        assert event.player_id == "p1"
+        assert event.player_id == current.id
         assert event.data["source"] == "deck"
         assert event.data["card"]["rank"] == card.rank.value
 
@@ -142,10 +143,12 @@ class TestEventEmission:
         """Swapping a card should emit card_swapped event."""
         game, collector = create_test_game(num_players=2)
         game.start_game(num_decks=1, num_rounds=1, options=GameOptions(initial_flips=0))
-        game.draw_card("p1", "deck")
+
+        current = game.current_player()
+        game.draw_card(current.id, "deck")
 
         initial_count = len(collector.events)
-        old_card = game.swap_card("p1", 0)
+        old_card = game.swap_card(current.id, 0)
 
         assert old_card is not None
         new_events = collector.events[initial_count:]
@@ -153,24 +156,26 @@ class TestEventEmission:
 
         assert len(swap_events) == 1
         event = swap_events[0]
-        assert event.player_id == "p1"
+        assert event.player_id == current.id
         assert event.data["position"] == 0
 
     def test_discard_card_event(self):
         """Discarding drawn card should emit card_discarded event."""
         game, collector = create_test_game(num_players=2)
         game.start_game(num_decks=1, num_rounds=1, options=GameOptions(initial_flips=0))
-        drawn = game.draw_card("p1", "deck")
+
+        current = game.current_player()
+        drawn = game.draw_card(current.id, "deck")
 
         initial_count = len(collector.events)
-        game.discard_drawn("p1")
+        game.discard_drawn(current.id)
 
         new_events = collector.events[initial_count:]
         discard_events = [e for e in new_events if e.event_type == EventType.CARD_DISCARDED]
 
         assert len(discard_events) == 1
         event = discard_events[0]
-        assert event.player_id == "p1"
+        assert event.player_id == current.id
         assert event.data["card"]["rank"] == drawn.rank.value
 
 
@@ -383,13 +388,14 @@ class TestFullGameReplay:
         game.start_game(num_decks=1, num_rounds=1, options=GameOptions(initial_flips=0))
 
         # Do a swap
-        drawn = game.draw_card("p1", "deck")
+        current = game.current_player()
-        old_card = game.get_player("p1").cards[0]
+        drawn = game.draw_card(current.id, "deck")
-        game.swap_card("p1", 0)
+        old_card = game.get_player(current.id).cards[0]
+        game.swap_card(current.id, 0)
 
         # Rebuild and verify
         state = rebuild_state(collector.events)
-        rebuilt_player = state.get_player("p1")
+        rebuilt_player = state.get_player(current.id)
 
         # The swapped card should be in the hand
         assert rebuilt_player.cards[0].rank == drawn.rank.value