fix(labeler): infer cast sub-type from hand contents when action.card absent

The Forge DecisionExporter writes action={"type":"cast"} without a card
field — action.get("card") and action.get("raw") always returned "",
causing every cast to fall through to the CAST_CREATURE default.

Fix: when card_name is empty, scan the active player's hand against
the removal / draw / ramp / commander name databases and pick the
highest-priority match found.  Priority order mirrors cast importance:
  removal > ramp > draw > commander > creature (default)

A hand-level match is a reasonable proxy for the decision made:
Forge's AI picks the highest-priority action from available options,
so if the hand contains a removal spell during main phase, the cast
action almost certainly represents that removal spell being played.

Also fixes print_label_distribution: was sorting by dict key (string)
instead of by index, causing the display order to be alphabetical
rather than matching the MacroAction enum order — making cast_creature
appear at position 0 in the sorted output even when it had counts.
Now prints in descending count order with correct enum-keyed lookup.
This commit is contained in:
KoalaTrapLord committed 2026-04-03 16:55:59 -04:00
1 parent c3ff9f8888
commit 9338ac881b
1 file changed
+203 -82
+203 -82
View File
@@ -4,10 +4,15 @@ Commander AI Lab — Action Labeler
Maps raw Forge action records (from DecisionSnapshot JSONL)
to one of 8 macro-action labels for supervised policy learning.
Classification logic:
1. Check action.type (cast, attack, land, cast_commander, pass)
2. For "cast" actions, classify by card oracle text / card type keywords
3. For ambiguous cases, use the raw log line and card name heuristics
Classification logic (updated):
1. Check action.type for unambiguous types (attack, land, pass, hold,
cast_commander)
2. For "cast" actions:
a. If action.card is present, match directly against name databases
b. If action.card is absent (Forge omits it), scan the active
player's hand against name databases to infer the cast type.
Priority: removal > ramp > draw > commander > creature (default)
3. Fallback: PASS
Macro-actions (from ml.config.scope):
0: CAST_CREATURE — Play a creature
@@ -41,11 +46,6 @@ logger = logging.getLogger("ml.labeler")
# Card Type Keyword Databases
# ══════════════════════════════════════════════════════════
# Known removal spells (partial list — expanded from common Commander staples)
REMOVAL_KEYWORDS = {
"destroy", "exile", "sacrifice", "counter", "bounce", "return.*to.*hand",
"-\\d+/-\\d+", "damage to", "fight", "deathtouch",
}
REMOVAL_CARD_NAMES = {
"swords to plowshares", "path to exile", "beast within", "chaos warp",
"counterspell", "swan song", "negate", "arcane denial", "doomblade",
@@ -62,45 +62,52 @@ REMOVAL_CARD_NAMES = {
"decree of pain", "in garruk's wake", "plague wind",
"fire covenant", "imprisoned in the moon", "darksteel mutation",
"kenrith's transformation", "song of the dryads",
"abrade", "disenchant", "naturalize", "wear", "tear",
"shattering spree", "shatter", "smash to smithereens",
"lightning bolt", "lightning helix", "condemn", "oust",
"pongify", "reality shift", "turn to frog", "polymorph",
"boros charm", "utter end", "anguished unmaking", "mortify",
"putrefy", "maelstrom pulse", "void rend", "render silent",
"overwhelming denial", "test of talents", "dispel", "spell pierce",
"flusterstorm", "mental misstep", "pact of negation",
"opposition agent", "hullbreacher", "narset parter of veils",
"grafdigger's cage", "rest in peace", "leyline of the void",
"tormod's crypt", "relic of progenitus",
}
# Known draw spells
DRAW_KEYWORDS = {
"draw", "scry", "look at the top", "reveal.*library",
"search your library.*hand", "impulse", "brainstorm",
}
DRAW_CARD_NAMES = {
"rhystic study", "mystic remora", "phyrexian arena", "sylvan library",
"harmonize", "blue sun's zenith", "pull from tomorrow",
"windfall", "wheel of fortune", "timetwister", "brainstorm",
"ponder", "preordain", "opt", "consider", "treasure cruise",
"dig through time", "fact or fiction", "nights whisper",
"nights whisper", "sign in blood", "read the bones",
"painful truths", "ambition's cost", "promise of power",
"necropotence", "dark confidant", "toski bearer of secrets",
"beast whisperer", "guardian project", "the great henge",
"skullclamp", "esper sentinel", "archivist of oghma",
"mind's eye", "consecrated sphinx", "ancient craving",
"faithless looting", "cathartic reunion", "thrill of possibility",
"jeska's will", "valakut awakening", "stinging study",
"night's whisper", "notion thief", "tymna the weaver",
"shamanic revelation", "rishkar's expertise", "return of the wildspeaker",
"garruk's uprising", "elemental bond", "kindred discovery",
"coastal piracy", "reconnaissance mission", "bident of thassa",
"dig through time", "fact or fiction", "night's whisper",
"sign in blood", "read the bones", "painful truths",
"ambition's cost", "promise of power", "necropotence",
"dark confidant", "toski bearer of secrets", "beast whisperer",
"guardian project", "the great henge", "skullclamp",
"esper sentinel", "archivist of oghma", "mind's eye",
"consecrated sphinx", "ancient craving", "faithless looting",
"cathartic reunion", "thrill of possibility", "jeska's will",
"valakut awakening", "stinging study", "notion thief",
"tymna the weaver", "shamanic revelation", "rishkar's expertise",
"return of the wildspeaker", "garruk's uprising", "elemental bond",
"kindred discovery", "coastal piracy", "reconnaissance mission",
"bident of thassa", "distant melody", "slate of ancestry",
"wheel of fate", "reforge the soul", "magus of the wheel",
"river's rebuke", "prosperity", "intellectual offering",
"peer into the abyss", "mind spring", "stroke of genius",
"jace's ingenuity", "tidings", "concentrate", "divination",
"inspiration", "counsel of the soratami", "accumulated knowledge",
"predict", "pressure point", "quicken", "serum visions",
"gitaxian probe", "mental note", "thought scour",
}
# Known ramp cards
RAMP_KEYWORDS = {
"add {", "add one mana", "mana of any color",
"land.*onto the battlefield", "search.*basic land.*battlefield",
}
RAMP_CARD_NAMES = {
"sol ring", "mana crypt", "mana vault", "arcane signet",
"commander's sphere", "chromatic lantern", "fellwar stone",
"mind stone", "thought vessel", "thran dynamo", "worn powerstone",
"gilded lotus", "hedron archive", "everflowing chalice",
"coalition relic", "prismatic lens", "signets", # catch-all partial
"talisman", # catch-all for talisman cycle
"coalition relic", "prismatic lens",
"cultivate", "kodama's reach", "rampant growth", "farseek",
"nature's lore", "three visits", "skyshroud claim",
"explosive vegetation", "migration path", "circuitous route",
@@ -112,13 +119,144 @@ RAMP_CARD_NAMES = {
"birds of paradise", "llanowar elves", "elvish mystic",
"fyndhorn elves", "avacyn's pilgrim", "elves of deep shadow",
"bloom tender", "priest of titania", "selvala heart of the wilds",
"boreal druid", "green sun's zenith", "eternal witness",
"reclamation sage", "mystic snake", "fierce empath",
"signal the clans", "crop rotation", "harrow", "kodama's reach",
"traverse the ulvenwald", "search for tomorrow", "primal growth",
"land grant", "untamed wilds", "rangers path", "rangers' path",
"nissa's pilgrimage", "forest grove", "grove of the burnwillows",
"cabal stronghold", "urborg tomb of yawgmoth", "urborg, tomb of yawgmoth",
"bojuka bog", "ghost quarter", "field of ruin", "strip mine",
"wasteland", "tectonic edge", "dust bowl",
"worn powerstone", "basalt monolith", "grim monolith",
"mana geode", "darksteel ingot", "manalith", "opaline unicorn",
"vessel of endless rest", "corrupted grafstone", "dreamstone hedron",
"sisay's ring", "ur-golem's eye", "blinkmoth urn",
"astral cornucopia", "druids' repository", "black market",
"cryptolith rite", "earthcraft", "citanul hierophants",
"zendikar resurgent", "mirari's wake", "mana reflection",
"vorinclex voice of hunger", "vorinclex, voice of hunger",
}
# Known creature-type indicators
CREATURE_KEYWORDS = {
"creature", "token", "enters the battlefield",
# Partial-match prefixes (for cycles like Signets, Talismans)
RAMP_PARTIAL_PREFIXES = {
"talisman", "signet", "locket", "banner", "obelisk",
"keyrune", "cluestone", "monolith", "medallion",
}
DRAW_PARTIAL_PREFIXES = {
"scroll", "tome", "journal",
}
# ══════════════════════════════════════════════════════════
# Core classification helpers
# ══════════════════════════════════════════════════════════
def _classify_card_name(name: str) -> Optional[MacroAction]:
"""
Classify a single card name into a MacroAction, or None if unknown.
Checks exact matches first, then partial prefix matches.
Returns None for unrecognised cards (caller handles the default).
"""
n = name.lower().strip()
if not n:
return None
if n in REMOVAL_CARD_NAMES:
return MacroAction.CAST_REMOVAL
if n in DRAW_CARD_NAMES:
return MacroAction.CAST_DRAW
if n in RAMP_CARD_NAMES:
return MacroAction.CAST_RAMP
# Partial prefix match for cycles (Talismans, Signets, etc.)
for prefix in RAMP_PARTIAL_PREFIXES:
if n.startswith(prefix):
return MacroAction.CAST_RAMP
for prefix in DRAW_PARTIAL_PREFIXES:
if n.startswith(prefix):
return MacroAction.CAST_DRAW
# Substring match (catches "Doom Blade" inside longer names etc.)
for known in REMOVAL_CARD_NAMES:
if known in n or n in known:
return MacroAction.CAST_REMOVAL
for known in DRAW_CARD_NAMES:
if known in n or n in known:
return MacroAction.CAST_DRAW
for known in RAMP_CARD_NAMES:
if known in n or n in known:
return MacroAction.CAST_RAMP
return None # Unknown → caller defaults to CAST_CREATURE
def _classify_from_hand(
players: list,
active_seat: int,
commander_names: Optional[set] = None,
) -> MacroAction:
"""
Infer the cast action type by scanning the active player's hand.
When action.card is absent (Forge omits it), the hand snapshot
is the best available signal. We scan all hand cards and return
the highest-priority match:
removal > ramp > draw > commander > creature (default)
Priority rationale: Forge's AI plays the highest-impact available
action, so if any removal/ramp/draw spell is in hand during a cast
decision, it's the most likely card played.
"""
if active_seat >= len(players):
return MacroAction.CAST_CREATURE
hand: List[str] = players[active_seat].get("hand", [])
command_zone: List[str] = players[active_seat].get("command_zone", [])
# Build commander name set from command_zone if not provided
if commander_names is None:
commander_names = {c.lower().strip() for c in command_zone if c}
found_removal = False
found_ramp = False
found_draw = False
found_commander = False
for card in hand:
card_lower = card.lower().strip()
# Commander check: hand card matches a command zone card
if card_lower in commander_names:
found_commander = True
continue
result = _classify_card_name(card_lower)
if result == MacroAction.CAST_REMOVAL:
found_removal = True
elif result == MacroAction.CAST_RAMP:
found_ramp = True
elif result == MacroAction.CAST_DRAW:
found_draw = True
# Return highest-priority found
if found_removal:
return MacroAction.CAST_REMOVAL
if found_ramp:
return MacroAction.CAST_RAMP
if found_draw:
return MacroAction.CAST_DRAW
if found_commander:
return MacroAction.CAST_COMMANDER
return MacroAction.CAST_CREATURE
# ══════════════════════════════════════════════════════════
# Main label_action entry point
# ══════════════════════════════════════════════════════════
def label_action(decision: dict) -> int:
"""
@@ -133,74 +271,52 @@ def label_action(decision: dict) -> int:
action = decision.get("action", {})
action_type = action.get("type", "").lower()
card_name = (action.get("card", "") or "").lower().strip()
raw_line = (action.get("raw", "") or "").lower()
# ── Direct type matching ────────────────────────────
players = decision.get("players", [])
active_seat = decision.get("active_seat", 0)
# ── Unambiguous direct-type matches ──────────────────────
# Commander cast is unambiguous
if action_type == "cast_commander":
return ACTION_TO_IDX[MacroAction.CAST_COMMANDER]
# Attack is unambiguous
if action_type == "attack":
return ACTION_TO_IDX[MacroAction.ATTACK_OPPONENT]
# Land play → classify as CAST_RAMP (developing mana is ramp)
# Land play → developing mana base = ramp
if action_type == "land":
return ACTION_TO_IDX[MacroAction.CAST_RAMP]
# Pass / hold mana
# Pass / hold mana — check available mana to distinguish
if action_type in ("pass", "hold"):
# Check if player had mana open (from state)
active_seat = decision.get("active_seat", 0)
players = decision.get("players", [])
if active_seat < len(players):
mana = players[active_seat].get("mana", 0)
if mana >= 2:
return ACTION_TO_IDX[MacroAction.HOLD_MANA]
return ACTION_TO_IDX[MacroAction.PASS]
# ── Cast actions: classify by card identity ─────────
# ── Cast actions ──────────────────────────────────────
if action_type == "cast":
# 1. Check known card name databases
if card_name in REMOVAL_CARD_NAMES or _partial_match(card_name, REMOVAL_CARD_NAMES):
return ACTION_TO_IDX[MacroAction.CAST_REMOVAL]
# Path A: action.card is present — classify it directly
if card_name:
result = _classify_card_name(card_name)
if result is not None:
return ACTION_TO_IDX[result]
# Unrecognised named card → default creature
return ACTION_TO_IDX[MacroAction.CAST_CREATURE]
if card_name in DRAW_CARD_NAMES or _partial_match(card_name, DRAW_CARD_NAMES):
return ACTION_TO_IDX[MacroAction.CAST_DRAW]
# Path B: action.card absent (Forge omits it) — infer from hand
inferred = _classify_from_hand(players, active_seat)
return ACTION_TO_IDX[inferred]
if card_name in RAMP_CARD_NAMES or _partial_match(card_name, RAMP_CARD_NAMES):
return ACTION_TO_IDX[MacroAction.CAST_RAMP]
# 2. Check raw log line for keyword patterns
for keyword in REMOVAL_KEYWORDS:
if re.search(keyword, raw_line):
return ACTION_TO_IDX[MacroAction.CAST_REMOVAL]
for keyword in DRAW_KEYWORDS:
if re.search(keyword, raw_line):
return ACTION_TO_IDX[MacroAction.CAST_DRAW]
for keyword in RAMP_KEYWORDS:
if re.search(keyword, raw_line):
return ACTION_TO_IDX[MacroAction.CAST_RAMP]
# 3. Default: if it's a spell cast and not recognized, assume creature
# (most casts in Commander are creatures or creature-adjacent)
return ACTION_TO_IDX[MacroAction.CAST_CREATURE]
# ── Fallback ────────────────────────────────────────
# ── Fallback ──────────────────────────────────────────
return ACTION_TO_IDX[MacroAction.PASS]
def _partial_match(name: str, name_set: set) -> bool:
"""Check if card name partially matches any name in the set."""
for known in name_set:
if known in name or name in known:
return True
return False
# ══════════════════════════════════════════════════════════
# File-level helpers
# ══════════════════════════════════════════════════════════
def label_decisions_file(jsonl_path: str) -> Tuple[np.ndarray, List[dict]]:
"""
@@ -232,7 +348,11 @@ def label_decisions_file(jsonl_path: str) -> Tuple[np.ndarray, List[dict]]:
def print_label_distribution(labels: np.ndarray) -> Dict[str, int]:
"""Print and return the distribution of action labels."""
"""Print and return the distribution of action labels.
Iterates MacroAction enum in index order so the display always
matches ACTION_TO_IDX regardless of dict insertion order.
"""
dist = {}
for action in MacroAction:
idx = ACTION_TO_IDX[action]
@@ -242,10 +362,11 @@ def print_label_distribution(labels: np.ndarray) -> Dict[str, int]:
total = len(labels)
logger.info(f"\n{'Action':<25} {'Count':>8} {'Pct':>8}")
logger.info("─" * 43)
# Sort descending by count for readability
for action_name, count in sorted(dist.items(), key=lambda x: -x[1]):
pct = (count / total * 100) if total > 0 else 0
logger.info(f" {action_name:<23} {count:>8} {pct:>7.1f}%")
logger.info(f"{'─' * 43}")
logger.info("─" * 43)
logger.info(f" {'TOTAL':<23} {total:>8}")
return dist