def render(self, mode='human'):
"""Render the current state"""
screen_width = 600
screen_height = 400
table_radius = 200
face_radius = 10
if self.viewer is None:
self.viewer = PygletWindow(screen_width + 50, screen_height + 50)
self.viewer.reset()
self.viewer.circle(screen_width / 2,
screen_height / 2,
table_radius,
color=BLUE,
thickness=0)
for i in range(len(self.players)):
degrees = i * (360 / len(self.players))
radian = (degrees * (np.pi / 180))
x = (face_radius + table_radius) * \
np.cos(radian) + screen_width / 2
y = (face_radius + table_radius) * \
np.sin(radian) + screen_height / 2
if self.player_cycle.alive[i]:
color = GREEN
else:
color = RED
self.viewer.circle(x, y, face_radius, color=color, thickness=2)
try:
if i == self.current_player.seat:
self.viewer.rectangle(x - 60, y, 150, -50, (255, 0, 0, 10))
except AttributeError:
pass
self.viewer.text(f"{self.players[i].name}",
x - 60,
y - 15,
font_size=10,
color=WHITE)
self.viewer.text(
f"Player {self.players[i].seat}: {self.players[i].cards}",
x - 60,
y,
font_size=10,
color=WHITE)
equity_alive = int(round(
float(self.players[i].equity_alive) * 100))
self.viewer.text(f"${self.players[i].stack} (EQ: {equity_alive}%)",
x - 60,
y + 15,
font_size=10,
color=WHITE)
try:
self.viewer.text(self.players[i].last_action_in_stage,
x - 60,
y + 30,
font_size=10,
color=WHITE)
except IndexError:
pass
x_inner = (-face_radius + table_radius - 60) * \
np.cos(radian) + screen_width / 2
y_inner = (-face_radius + table_radius - 60) * \
np.sin(radian) + screen_height / 2
self.viewer.text(f"${self.player_pots[i]}",
x_inner,
y_inner,
font_size=10,
color=WHITE)
self.viewer.text(f"{self.table_cards}",
screen_width / 2 - 40,
screen_height / 2,
font_size=10,
color=WHITE)
self.viewer.text(f"${self.community_pot}",
screen_width / 2 - 15,
screen_height / 2 + 30,
font_size=10,
color=WHITE)
self.viewer.text(f"${self.current_round_pot}",
screen_width / 2 - 15,
screen_height / 2 + 50,
font_size=10,
color=WHITE)
x_button = (-face_radius + table_radius - 20) * \
np.cos(radian) + screen_width / 2
y_button = (-face_radius + table_radius - 20) * \
np.sin(radian) + screen_height / 2
try:
if i == self.player_cycle.dealer_idx:
self.viewer.circle(x_button,
y_button,
5,
color=BLUE,
thickness=2)
except AttributeError:
pass
self.viewer.update()
class HoldemTable(Env):
"""Pokergame environment"""
def __init__(self,
initial_stacks=100,
small_blind=1,
big_blind=2,
render=False,
funds_plot=True,
max_raising_rounds=2,
use_cpp_montecarlo=False):
"""
The table needs to be initialized once at the beginning
Args:
num_of_players (int): number of players that need to be added
initial_stacks (real): initial stacks per placyer
small_blind (real)
big_blind (real)
render (bool): render table after each move in graphical format
funds_plot (bool): show plot of funds history at end of each episode
max_raising_rounds (int): max raises per round per player
"""
if use_cpp_montecarlo:
import cppimport
calculator = cppimport.imp("tools.montecarlo_cpp.pymontecarlo")
get_equity = calculator.montecarlo
else:
from tools.montecarlo_python import get_equity
self.get_equity = get_equity
self.use_cpp_montecarlo = use_cpp_montecarlo
self.num_of_players = 0
self.small_blind = small_blind
self.big_blind = big_blind
self.render_switch = render
self.players = []
self.table_cards = None
self.dealer_pos = None
self.player_status = [] # one hot encoded
self.current_player = None
self.player_cycle = None # cycle iterator
self.stage = None
self.last_player_pot = None
self.viewer = None
self.player_max_win = None # used for side pots
self.second_round = False
self.last_caller = None
self.last_raiser = None
self.raisers = []
self.callers = []
self.played_in_round = None
self.min_call = None
self.community_data = None
self.player_data = None
self.stage_data = None
self.deck = None
self.action = None
self.winner_ix = None
self.initial_stacks = initial_stacks
self.acting_agent = None
self.funds_plot = funds_plot
self.max_round_raising = max_raising_rounds
# pots
self.community_pot = 0
self.current_round_pot = 9
self.player_pots = None # individual player pots
self.observation = None
self.reward = None
self.info = None
self.done = False
self.funds_history = None
self.array_everything = None
self.legal_moves = None
self.illegal_move_reward = -1000000
self.action_space = Discrete(len(Action) - 2)
self.first_action_for_hand = None
def reset(self):
"""Reset after game over."""
self.observation = None
self.reward = None
self.info = None
self.done = False
self.funds_history = pd.DataFrame()
self.first_action_for_hand = [True] * len(self.players)
for player in self.players:
player.stack = self.initial_stacks
self.dealer_pos = 0
self.player_cycle = PlayerCycle(
self.players,
dealer_idx=-1,
max_steps_after_raiser=len(self.players) - 1,
max_steps_after_big_blind=len(self.players))
self._start_new_hand()
self._get_environment()
# auto play for agents where autoplay is set
if self._agent_is_autoplay() and not self.done:
# kick off the first action after bb by an autoplay agent
self.step('initial_player_autoplay')
return self.array_everything
def step(self, action): # pylint: disable=arguments-differ
"""
Next player makes a move and a new environment is observed.
Args:
action: Used for testing only. Needs to be of Action type
"""
# loop over step function, calling the agent's action method
# until either the env id sone, or an agent is just a shell and
# and will get a call from to the step function externally (e.g. via
# keras-rl
self.reward = 0
self.acting_agent = self.player_cycle.idx
if self._agent_is_autoplay():
while self._agent_is_autoplay() and not self.done:
log.debug("Autoplay agent. Call action method of agent.")
self._get_environment()
# call agent's action method
action = self.current_player.agent_obj.action(
self.legal_moves, self.observation, self.info)
if Action(action) not in self.legal_moves:
print('Equity Illegal Move')
self._illegal_move(action)
else:
self._execute_step(Action(action))
if self.first_action_for_hand[
self.acting_agent] or self.done:
self.first_action_for_hand[self.acting_agent] = False
self._calculate_reward(action)
# action received from player shell (e.g. keras rl, not autoplay)
else:
self._get_environment() # get legal moves
if Action(action) not in self.legal_moves:
print('Agent Illegal Move')
self._illegal_move(action)
else:
self._execute_step(Action(action))
if self.first_action_for_hand[self.acting_agent] or self.done:
self.first_action_for_hand[self.acting_agent] = False
self._calculate_reward(action)
log.info(
f"Previous action reward for seat {self.acting_agent}: {self.reward}"
)
print(
f"Previous action reward for seat {self.acting_agent}: {self.reward}"
)
return self.array_everything, self.reward, self.done, self.info
def _execute_step(self, action):
self._process_decision(action)
self._next_player()
if self.stage in [Stage.END_HIDDEN, Stage.SHOWDOWN]:
self._end_hand()
self._start_new_hand()
self._get_environment()
def _illegal_move(self, action):
log.warning(
f"{action} is an Illegal move, try again. Currently allowed: {self.legal_moves}"
)
print(
f"{action} is an Illegal move, try again. Currently allowed: {self.legal_moves}"
)
self.reward = self.illegal_move_reward
def _agent_is_autoplay(self, idx=None):
if not idx:
return hasattr(self.current_player.agent_obj, 'autoplay')
return hasattr(self.players[idx].agent_obj, 'autoplay')
def _get_environment(self):
"""Observe the environment"""
if not self.done:
self._get_legal_moves()
self.observation = None
self.reward = 0
self.info = None
self.community_data = CommunityData(len(self.players))
self.community_data.community_pot = self.community_pot / \
(self.big_blind * 100)
self.community_data.current_round_pot = self.current_round_pot / \
(self.big_blind * 100)
self.community_data.small_blind = self.small_blind
self.community_data.big_blind = self.big_blind
self.community_data.stage[np.minimum(self.stage.value, 3)] = 1 # pylint: disable= invalid-sequence-index
self.community_data.legal_moves = [
action in self.legal_moves for action in Action
]
# self.cummunity_data.active_players
self.player_data = PlayerData()
self.player_data.stack = [
player.stack / (self.big_blind * 100) for player in self.players
]
if not self.current_player: # game over
self.current_player = self.players[self.winner_ix]
self.player_data.position = self.current_player.seat
self.current_player.equity_alive = self.get_equity(
set(self.current_player.cards), set(self.table_cards),
sum(self.player_cycle.alive), 1000)
self.player_data.equity_to_river_alive = self.current_player.equity_alive
arr1 = np.array(list(flatten(self.player_data.__dict__.values())))
arr2 = np.array(list(flatten(self.community_data.__dict__.values())))
arr3 = np.array([
list(flatten(sd.__dict__.values())) for sd in self.stage_data
]).flatten()
# arr_legal_only = np.array(self.community_data.legal_moves).flatten()
self.array_everything = np.concatenate([arr1, arr2, arr3]).flatten()
self.observation = self.array_everything
self._get_legal_moves()
self.info = {
'player_data': self.player_data.__dict__,
'community_data': self.community_data.__dict__,
'stage_data': [stage.__dict__ for stage in self.stage_data],
'legal_moves': self.legal_moves
}
self.observation_space = Box(low=0.0,
high=1000.0,
shape=self.array_everything.shape,
dtype=np.float64)
if self.render_switch:
self.render()
def _calculate_reward(self, last_action):
"""
Preliminiary implementation of reward function
- Currently missing potential additional winnings from future contributions
"""
# if last_action == Action.FOLD:
# self.reward = -(
# self.community_pot + self.current_round_pot)
# else:
# self.reward = self.player_data.equity_to_river_alive * (self.community_pot + self.current_round_pot) - \
# (1 - self.player_data.equity_to_river_alive) * self.player_pots[self.current_player.seat]
_ = last_action
if self.done:
won = 1 if not self._agent_is_autoplay(idx=self.winner_ix) else -1
self.reward = self.initial_stacks * len(self.players) * won
log.debug(f"Keras-rl agent has reward {self.reward}")
print(f"Keras-rl agent has reward {self.reward}")
elif len(self.funds_history) > 1:
self.reward = self.funds_history.iloc[
-1,
self.acting_agent] - self.funds_history.iloc[-2,
self.acting_agent]
else:
pass
def _process_decision(self, action): # pylint: disable=too-many-statements
"""Process the decisions that have been made by an agent."""
if action not in [Action.SMALL_BLIND, Action.BIG_BLIND]:
assert action in set(self.legal_moves), "Illegal decision"
if action == Action.FOLD:
self.player_cycle.deactivate_current()
self.player_cycle.mark_folder()
else:
if action == Action.CALL:
contribution = min(
self.min_call - self.player_pots[self.current_player.seat],
self.current_player.stack)
self.callers.append(self.current_player.seat)
self.last_caller = self.current_player.seat
# verify the player has enough in his stack
elif action == Action.CHECK:
contribution = 0
self.player_cycle.mark_checker()
elif action == Action.RAISE_3BB:
contribution = 3 * self.big_blind - \
self.player_pots[self.current_player.seat]
self.raisers.append(self.current_player.seat)
elif action == Action.RAISE_HALF_POT:
contribution = (self.community_pot +
self.current_round_pot) / 2
self.raisers.append(self.current_player.seat)
elif action == Action.RAISE_POT:
contribution = (self.community_pot + self.current_round_pot)
self.raisers.append(self.current_player.seat)
elif action == Action.RAISE_2POT:
contribution = (self.community_pot +
self.current_round_pot) * 2
self.raisers.append(self.current_player.seat)
elif action == Action.ALL_IN:
contribution = self.current_player.stack
self.raisers.append(self.current_player.seat)
elif action == Action.SMALL_BLIND:
contribution = np.minimum(self.small_blind,
self.current_player.stack)
elif action == Action.BIG_BLIND:
contribution = np.minimum(self.big_blind,
self.current_player.stack)
self.player_cycle.mark_bb()
else:
raise RuntimeError("Illegal action.")
if contribution > self.min_call:
self.player_cycle.mark_raiser()
self.current_player.stack -= contribution
self.player_pots[self.current_player.seat] += contribution
self.current_round_pot += contribution
self.last_player_pot = self.player_pots[self.current_player.seat]
if self.current_player.stack == 0 and contribution > 0:
self.player_cycle.mark_out_of_cash_but_contributed()
self.min_call = max(self.min_call, contribution)
self.current_player.actions.append(action)
self.current_player.last_action_in_stage = action.name
self.current_player.temp_stack.append(self.current_player.stack)
# side pot
self.player_max_win[self.current_player.seat] += contribution
pos = self.player_cycle.idx
rnd = self.stage.value + self.second_round
self.stage_data[rnd].calls[pos] = action == Action.CALL
self.stage_data[rnd].raises[pos] = action in [
Action.RAISE_2POT, Action.RAISE_HALF_POT, Action.RAISE_POT
]
self.stage_data[rnd].min_call_at_action[pos] = self.min_call / \
(self.big_blind * 100)
self.stage_data[rnd].community_pot_at_action[pos] = self.community_pot / \
(self.big_blind * 100)
self.stage_data[rnd].contribution[pos] += contribution / \
(self.big_blind * 100)
self.stage_data[rnd].stack_at_action[pos] = self.current_player.stack / \
(self.big_blind * 100)
self.player_cycle.update_alive()
log.info(
f"Seat {self.current_player.seat} ({self.current_player.name}): {action} - Remaining stack: {self.current_player.stack}, "
f"Round pot: {self.current_round_pot}, Community pot: {self.community_pot}, "
f"player pot: {self.player_pots[self.current_player.seat]}")
print(
f"Seat {self.current_player.seat} ({self.current_player.name}): {action} - Remaining stack: {self.current_player.stack}, "
f"Round pot: {self.current_round_pot}, Community pot: {self.community_pot}, "
f"player pot: {self.player_pots[self.current_player.seat]}")
def _start_new_hand(self):
"""Deal new cards to players and reset table states."""
self._save_funds_history()
if self._check_game_over():
return
log.info("")
log.info("++++++++++++++++++")
log.info("Starting new hand.")
log.info("++++++++++++++++++")
print("")
print("++++++++++++++++++")
print("Starting new hand.")
print("++++++++++++++++++")
self.table_cards = []
self._create_card_deck()
self.stage = Stage.PREFLOP
# preflop round1,2, flop>: round 1,2, turn etc...
self.stage_data = [StageData(len(self.players)) for _ in range(8)]
# pots
self.community_pot = 0
self.current_round_pot = 0
self.player_pots = [0] * len(self.players)
self.player_max_win = [0] * len(self.players)
self.last_player_pot = 0
self.played_in_round = 0
self.first_action_for_hand = [True] * len(self.players)
for player in self.players:
player.cards = []
self._next_dealer()
self._distribute_cards()
self._initiate_round()
def _save_funds_history(self):
"""Keep track of player funds history"""
funds_dict = {i: player.stack for i, player in enumerate(self.players)}
self.funds_history = pd.concat(
[self.funds_history,
pd.DataFrame(funds_dict, index=[0])])
def _check_game_over(self):
"""Check if only one player has money left"""
player_alive = []
self.player_cycle.new_hand_reset()
for idx, player in enumerate(self.players):
if player.stack > 0:
player_alive.append(True)
else:
self.player_status.append(False)
self.player_cycle.deactivate_player(idx)
remaining_players = sum(player_alive)
if remaining_players < 2:
self._game_over()
return True
return False
def _game_over(self):
"""End of an episode."""
log.info("Game over.")
print("Game over.")
self.done = True
player_names = [
f"{i} - {player.name}" for i, player in enumerate(self.players)
]
self.funds_history.columns = player_names
if self.funds_plot:
self.funds_history.reset_index(drop=True).plot()
log.info(self.funds_history)
print(self.funds_history)
plt.show()
winner_in_episodes.append(self.winner_ix)
league_table = pd.Series(winner_in_episodes).value_counts()
best_player = league_table.index[0]
log.info(league_table)
log.info(f"Best Player: {best_player}")
print(league_table)
print(f"Best Player: {best_player}")
def _initiate_round(self):
"""A new round (flop, turn, river) is initiated"""
self.last_caller = None
self.last_raiser = None
self.raisers = []
self.callers = []
self.min_call = 0
for player in self.players:
player.last_action_in_stage = ''
self.player_cycle.new_round_reset()
if self.stage == Stage.PREFLOP:
log.info("")
log.info("===Round: Stage: PREFLOP")
print("")
print("===Round: Stage: PREFLOP")
# max steps total will be adjusted again at bb
self.player_cycle.max_steps_total = len(
self.players) * self.max_round_raising + 2
self._next_player()
self._process_decision(Action.SMALL_BLIND)
self._next_player()
self._process_decision(Action.BIG_BLIND)
self._next_player()
elif self.stage in [Stage.FLOP, Stage.TURN, Stage.RIVER]:
self.player_cycle.max_steps_total = len(
self.players) * self.max_round_raising
self._next_player()
elif self.stage == Stage.SHOWDOWN:
log.info("Showdown")
print("Showdown")
else:
raise RuntimeError()
def add_player(self, agent):
"""Add a player to the table. Has to happen at the very beginning"""
self.num_of_players += 1
player = PlayerShell(stack_size=self.initial_stacks, name=agent.name)
player.agent_obj = agent
player.seat = len(self.players) # assign next seat number to player
player.stack = self.initial_stacks
self.players.append(player)
self.player_status = [True] * len(self.players)
self.player_pots = [0] * len(self.players)
def _end_round(self):
"""End of preflop, flop, turn or river"""
self._close_round()
if self.stage == Stage.PREFLOP:
self.stage = Stage.FLOP
self._distribute_cards_to_table(3)
elif self.stage == Stage.FLOP:
self.stage = Stage.TURN
self._distribute_cards_to_table(1)
elif self.stage == Stage.TURN:
self.stage = Stage.RIVER
self._distribute_cards_to_table(1)
elif self.stage == Stage.RIVER:
self.stage = Stage.SHOWDOWN
log.info("--------------------------------")
log.info(f"===ROUND: {self.stage} ===")
print("--------------------------------")
print(f"===ROUND: {self.stage} ===")
self._clean_up_pots()
def _clean_up_pots(self):
self.community_pot += self.current_round_pot
self.current_round_pot = 0
self.player_pots = [0] * len(self.players)
def _end_hand(self):
self._clean_up_pots()
self.winner_ix = self._get_winner()
self._award_winner(self.winner_ix)
def _get_winner(self):
"""Determine which player has won the hand"""
potential_winners = self.player_cycle.get_potential_winners()
potential_winner_idx = [
i for i, potential_winner in enumerate(potential_winners)
if potential_winner
]
if sum(potential_winners) == 1:
winner_ix = [
i for i, active in enumerate(potential_winners) if active
][0]
winning_card_type = 'Only remaining player in round'
else:
assert self.stage == Stage.SHOWDOWN
remaining_player_winner_ix, winning_card_type = get_winner([
player.cards for ix, player in enumerate(self.players)
if potential_winners[ix]
], self.table_cards)
winner_ix = potential_winner_idx[remaining_player_winner_ix]
log.info(f"Player {winner_ix} won: {winning_card_type}")
print(f"Player {winner_ix} won: {winning_card_type}")
return winner_ix
def _award_winner(self, winner_ix):
"""Hand the pot to the winner and handle side pots"""
max_win_per_player_for_winner = self.player_max_win[winner_ix]
total_winnings = sum(
np.minimum(max_win_per_player_for_winner, self.player_max_win))
remains = np.maximum(0,
np.array(self.player_max_win) -
max_win_per_player_for_winner) # to be returned
self.players[winner_ix].stack += total_winnings
self.winner_ix = winner_ix
if total_winnings < sum(self.player_max_win):
log.info("Returning side pots")
print("Returning side pots")
for i, player in enumerate(self.players):
player.stack += remains[i]
def _next_dealer(self):
self.dealer_pos = self.player_cycle.next_dealer().seat
def _next_player(self):
"""Move to the next player"""
self.current_player = self.player_cycle.next_player()
if not self.current_player:
if sum(self.player_cycle.alive) < 2:
log.info("Only one player remaining in round")
print("Only one player remaining in round")
self.stage = Stage.END_HIDDEN
else:
log.info("End round - no current player returned")
print("End round - no current player returned")
self._end_round()
# todo: in some cases no new round should be initialized bc only one player is playing only it seems
self._initiate_round()
elif self.current_player == 'max_steps_total' or self.current_player == 'max_steps_after_raiser':
log.debug(self.current_player)
log.info("End of round ")
print("End of round ")
self._end_round()
return
def _get_legal_moves(self):
"""Determine what moves are allowed in the current state"""
self.legal_moves = []
if self.player_pots[self.current_player.seat] == max(self.player_pots):
self.legal_moves.append(Action.CHECK)
else:
self.legal_moves.append(Action.CALL)
self.legal_moves.append(Action.FOLD)
if self.current_player.stack >= 3 * self.big_blind - self.player_pots[
self.current_player.seat]:
self.legal_moves.append(Action.RAISE_3BB)
if self.current_player.stack >= (
(self.community_pot + self.current_round_pot) /
2) >= self.min_call:
self.legal_moves.append(Action.RAISE_HALF_POT)
if self.current_player.stack >= (
self.community_pot +
self.current_round_pot) >= self.min_call:
self.legal_moves.append(Action.RAISE_POT)
if self.current_player.stack >= (
(self.community_pot + self.current_round_pot) *
2) >= self.min_call:
self.legal_moves.append(Action.RAISE_2POT)
if self.current_player.stack > 0:
self.legal_moves.append(Action.ALL_IN)
log.debug(
f"Community+current round pot pot: {self.community_pot + self.current_round_pot}"
)
def _close_round(self):
"""put player_pots into community pots"""
self.community_pot += sum(self.player_pots)
self.player_pots = [0] * len(self.players)
self.played_in_round = 0
def _create_card_deck(self):
values = "23456789TJQKA"
suites = "CDHS"
self.deck = [] # contains cards in the deck
_ = [self.deck.append(x + y) for x in values for y in suites]
def _distribute_cards(self):
log.info(f"Dealer is at position {self.dealer_pos}")
print(f"Dealer is at position {self.dealer_pos}")
for player in self.players:
player.cards = []
if player.stack <= 0:
continue
for _ in range(2):
card = np.random.randint(0, len(self.deck))
player.cards.append(self.deck.pop(card))
log.info(
f"Player {player.seat} got {player.cards} and ${player.stack}")
print(
f"Player {player.seat} got {player.cards} and ${player.stack}")
def _distribute_cards_to_table(self, amount_of_cards):
for _ in range(amount_of_cards):
card = np.random.randint(0, len(self.deck))
self.table_cards.append(self.deck.pop(card))
log.info(f"Cards on table: {self.table_cards}")
print(f"Cards on table: {self.table_cards}")
def render(self, mode='human'):
"""Render the current state"""
screen_width = 600
screen_height = 400
table_radius = 200
face_radius = 10
if self.viewer is None:
self.viewer = PygletWindow(screen_width + 50, screen_height + 50)
self.viewer.reset()
self.viewer.circle(screen_width / 2,
screen_height / 2,
table_radius,
color=BLUE,
thickness=0)
for i in range(len(self.players)):
degrees = i * (360 / len(self.players))
radian = (degrees * (np.pi / 180))
x = (face_radius + table_radius) * \
np.cos(radian) + screen_width / 2
y = (face_radius + table_radius) * \
np.sin(radian) + screen_height / 2
if self.player_cycle.alive[i]:
color = GREEN
else:
color = RED
self.viewer.circle(x, y, face_radius, color=color, thickness=2)
try:
if i == self.current_player.seat:
self.viewer.rectangle(x - 60, y, 150, -50, (255, 0, 0, 10))
except AttributeError:
pass
self.viewer.text(f"{self.players[i].name}",
x - 60,
y - 15,
font_size=10,
color=WHITE)
self.viewer.text(
f"Player {self.players[i].seat}: {self.players[i].cards}",
x - 60,
y,
font_size=10,
color=WHITE)
equity_alive = int(round(
float(self.players[i].equity_alive) * 100))
self.viewer.text(f"${self.players[i].stack} (EQ: {equity_alive}%)",
x - 60,
y + 15,
font_size=10,
color=WHITE)
try:
self.viewer.text(self.players[i].last_action_in_stage,
x - 60,
y + 30,
font_size=10,
color=WHITE)
except IndexError:
pass
x_inner = (-face_radius + table_radius - 60) * \
np.cos(radian) + screen_width / 2
y_inner = (-face_radius + table_radius - 60) * \
np.sin(radian) + screen_height / 2
self.viewer.text(f"${self.player_pots[i]}",
x_inner,
y_inner,
font_size=10,
color=WHITE)
self.viewer.text(f"{self.table_cards}",
screen_width / 2 - 40,
screen_height / 2,
font_size=10,
color=WHITE)
self.viewer.text(f"${self.community_pot}",
screen_width / 2 - 15,
screen_height / 2 + 30,
font_size=10,
color=WHITE)
self.viewer.text(f"${self.current_round_pot}",
screen_width / 2 - 15,
screen_height / 2 + 50,
font_size=10,
color=WHITE)
x_button = (-face_radius + table_radius - 20) * \
np.cos(radian) + screen_width / 2
y_button = (-face_radius + table_radius - 20) * \
np.sin(radian) + screen_height / 2
try:
if i == self.player_cycle.dealer_idx:
self.viewer.circle(x_button,
y_button,
5,
color=BLUE,
thickness=2)
except AttributeError:
pass
self.viewer.update()
class HoldemTable(Env):
"""Pokergame environment"""
def __init__(self,
num_of_players=6,
initial_stacks=100,
small_blind=1,
big_blind=2,
render=False):
"""The table needs to be initialized once at the beginning"""
self.num_of_players = num_of_players
self.small_blind = small_blind
self.big_blind = big_blind
self.render_switch = render
self.players = []
self.table_cards = None
self.dealer_pos = None
self.player_status = [] # one hot encoded
self.current_player = None
self.player_cycle = None # cycle iterator
self.stage = None
self.last_player_pot = None
self.viewer = None
self.player_max_win = None # used for side pots
self.second_round = False
self.last_caller = None
self.last_raiser = None
self.raisers = []
self.callers = []
self.played_in_round = None
self.min_call = None
self.community_data = None
self.player_data = None
self.stage_data = None
self.deck = None
self.winner_ix = None
self.initial_stacks = initial_stacks
# pots
self.community_pot = 0
self.current_round_pot = 9
self.player_pots = None # individual player pots
self.observation = None
self.reward = None
self.info = None
self.done = False
self.funds_history = None
self.array_everything = None
def reset(self):
"""Reset after game over."""
self.observation = None
self.reward = None
self.info = None
self.done = False
self.funds_history = pd.DataFrame()
for player in self.players:
player.stack = self.initial_stacks
self.dealer_pos = 0
self.player_cycle = PlayerCycle(self.players,
dealer_idx=-1,
max_steps_after_raiser=len(
self.players))
self._start_new_hand()
self._get_environment()
# auto play for agents where autoplay is set
if hasattr(self.current_player, 'agent_obj') and not self.done:
self.step()
return self.array_everything
def step(self, action=None): # pylint: disable=arguments-differ
"""
Next player makes a move and a new environment is observed.
Args:
action: Used for testing only. Needs to be of Action type
"""
self.observation_space = self.array_everything.shape
if not action:
if not hasattr(self.current_player.agent_obj, 'autoplay'):
# only player shell, external model required to by calling step method
# todo: reward should be for last played action of external model
return self.array_everything, self.reward, self.done, self.info
action = self.current_player.agent_obj.action(
self.action_space, self.observation)
self._process_decision(action)
self._next_player()
if self.stage in [Stage.END_HIDDEN, Stage.SHOWDOWN]:
self._end_hand()
self._start_new_hand()
self.player_cycle.update_alive()
self._get_environment()
# auto play for agents where autoplay is set
if hasattr(self.current_player, 'agent_obj') and not self.done:
self.step()
return self.observation, self.reward, self.done, self.info
def _get_environment(self):
"""Observe the environment"""
if not self.done:
self._get_legal_moves()
self.observation = None
self.reward = None
self.info = None
self.community_data = CommunityData(len(self.players))
self.community_data.community_pot = self.community_pot
self.community_data.current_round_pot = self.current_round_pot
self.community_data.small_blind = self.small_blind
self.community_data.big_blind = self.big_blind
self.community_data.stage[np.minimum(self.stage.value, 3)] = 1
# self.cummunity_data.active_players
self.player_data = PlayerData()
self.player_data.stack = [player.stack for player in self.players]
if not self.current_player: # game over
self.current_player = self.players[self.winner_ix]
self.player_data.position = self.current_player.seat
self.current_player.equity_alive = get_equity(
self.current_player.cards, self.table_cards,
sum(self.player_cycle.alive))
self.player_data.equity_to_river_alive = self.current_player.equity_alive
arr1 = np.array(list(flatten(self.player_data.__dict__.values())))
arr2 = np.array(list(flatten(self.community_data.__dict__.values())))
arr3 = np.array([
list(flatten(sd.__dict__.values())) for sd in self.stage_data
]).flatten()
self.array_everything = np.concatenate([arr1, arr2, arr3]).flatten()
self.observation = {
'array_everything': self.array_everything,
'player_data': self.player_data,
'community_data': self.community_data,
'stage_data': self.stage_data
}
self._get_legal_moves()
self.reward = self.current_player.stack + self.player_data.equity_to_river_alive * self.community_pot
if self.render_switch:
self.render()
def _process_decision(self, action): # pylint: disable=too-many-statements
"""Process the decisions that have been made by an agent."""
if action not in [Action.SMALL_BLIND, Action.BIG_BLIND]:
assert action in set(self.action_space), "Illegal decision"
if action == Action.FOLD:
self.player_cycle.deactivate_current()
self.player_cycle.mark_folder()
log.info(
f"Seat {self.current_player.seat}: {action} - Remaining stack: {self.current_player.stack}, "
f"Round pot: {self.current_round_pot}, Community pot: {self.community_pot}, "
f"player pot: {self.player_pots[self.current_player.seat]}")
return
if action == Action.CALL:
contribution = min(
self.min_call - self.player_pots[self.current_player.seat],
self.current_player.stack)
self.callers.append(self.current_player.seat)
self.last_caller = self.current_player.seat
# verify the player has enough in his stack
elif action == Action.CHECK:
contribution = 0
self.player_cycle.mark_checker()
elif action == Action.RAISE_3BB:
contribution = (self.community_pot + self.big_blind) * 3
self.raisers.append(self.current_player.seat)
elif action == Action.RAISE_HALF_POT:
contribution = (self.community_pot + self.current_round_pot) / 2
self.raisers.append(self.current_player.seat)
elif action == Action.RAISE_POT:
contribution = (self.community_pot + self.current_round_pot)
self.raisers.append(self.current_player.seat)
elif action == Action.RAISE_2POT:
contribution = (self.community_pot + self.current_round_pot) * 2
self.raisers.append(self.current_player.seat)
elif action == Action.ALL_IN:
contribution = self.current_player.stack
self.raisers.append(self.current_player.seat)
elif action == Action.SMALL_BLIND:
contribution = np.minimum(self.small_blind,
self.current_player.stack)
self.last_raiser = self.current_player.seat
elif action == Action.BIG_BLIND:
contribution = np.minimum(self.big_blind,
self.current_player.stack)
self.last_raiser = self.current_player.seat
self.player_cycle.mark_bb()
else:
raise RuntimeError("Illegal action.")
if contribution > self.min_call:
self.player_cycle.mark_raiser()
self.last_raiser = self.current_player.seat
self.current_player.stack -= contribution
self.player_pots[self.current_player.seat] += contribution
self.current_round_pot += contribution
self.last_player_pot = self.player_pots[self.current_player.seat]
if self.current_player.stack == 0 and contribution > 0:
self.player_cycle.mark_out_of_cash_but_contributed()
self.min_call = max(self.min_call, contribution)
self.current_player.actions.append(action)
self.current_player.last_action_in_stage = action.name
self.current_player.temp_stack.append(self.current_player.stack)
self.player_max_win[
self.current_player.seat] += contribution # side pot
pos = self.player_cycle.idx
rnd = self.stage.value + self.second_round
self.stage_data[rnd].calls[pos] = action == Action.CALL
self.stage_data[rnd].raises[pos] = action in [
Action.RAISE_2POT, Action.RAISE_HALF_POT, Action.RAISE_POT
]
self.stage_data[rnd].min_call_at_action[pos] = self.min_call
self.stage_data[rnd].community_pot_at_action[pos] = self.community_pot
self.stage_data[rnd].contribution[pos] += contribution
self.stage_data[rnd].stack_at_action[pos] = self.current_player.stack
log.info(
f"Seat {self.current_player.seat}: {action} - Remaining stack: {self.current_player.stack}, "
f"Round pot: {self.current_round_pot}, Community pot: {self.community_pot}, "
f"player pot: {self.player_pots[self.current_player.seat]}")
def _start_new_hand(self):
"""Deal new cards to players and reset table states."""
self._save_funds_history()
if self._check_game_over():
return
log.info("")
log.info("++++++++++++++++++")
log.info("Starting new hand.")
log.info("++++++++++++++++++")
self.table_cards = []
self._create_card_deck()
self.stage = Stage.PREFLOP
# preflop round1,2, flop>: round 1,2, turn etc...
self.stage_data = [StageData(len(self.players)) for _ in range(8)]
# pots
self.community_pot = 0
self.current_round_pot = 0
self.player_pots = [0] * len(self.players)
self.player_max_win = [0] * len(self.players)
self.last_player_pot = 0
self.played_in_round = 0
for player in self.players:
player.cards = []
self._next_dealer()
self._distribute_cards()
self._initiate_round()
def _save_funds_history(self):
"""Keep track of player funds history"""
funds_dict = {i: player.stack for i, player in enumerate(self.players)}
self.funds_history = pd.concat(
[self.funds_history,
pd.DataFrame(funds_dict, index=[0])])
def _check_game_over(self):
"""Check if only one player has money left"""
player_alive = []
self.player_cycle.new_hand_reset()
for idx, player in enumerate(self.players):
if player.stack > 0:
player_alive.append(True)
else:
self.player_status.append(False)
self.player_cycle.deactivate_player(idx)
remaining_players = sum(player_alive)
if remaining_players < 2:
self._game_over()
return True
return False
def _game_over(self):
"""End of an episode."""
log.info("Game over.")
self.done = True
player_names = [
f"{i} - {player.name}" for i, player in enumerate(self.players)
]
self.funds_history.columns = player_names
self.funds_history.reset_index(drop=True).plot()
log.info(self.funds_history)
plt.show()
def _initiate_round(self):
"""A new round (flop, turn, river) is initiated"""
self.last_caller = None
self.last_raiser = None
self.raisers = []
self.callers = []
self.min_call = 0
for player in self.players:
player.last_action_in_stage = ''
self.player_cycle.new_round_reset()
if self.stage == Stage.PREFLOP:
log.info("")
log.info("===Round: Stage: PREFLOP")
# max steps total will be adjusted again at bb
self.player_cycle.max_steps_total = len(self.players) * 2 + 2
self._next_player()
self._process_decision(Action.SMALL_BLIND)
self._next_player()
self._process_decision(Action.BIG_BLIND)
self._next_player()
elif self.stage in [Stage.FLOP, Stage.TURN, Stage.RIVER]:
self.player_cycle.max_steps_total = len(self.players) * 2
self._next_player()
elif self.stage == Stage.SHOWDOWN:
log.info("Showdown")
else:
raise RuntimeError()
def add_player(self, agent):
"""Add a player to the table. Has to happen at the very beginning"""
player = PlayerShell(stack_size=self.initial_stacks, name=agent.name)
player.agent_obj = agent
player.seat = len(self.players) # assign next seat number to player
player.stack = self.initial_stacks
self.players.append(player)
self.player_status = [True] * len(self.players)
self.player_pots = [0] * len(self.players)
def _end_round(self):
"""End of preflop, flop, turn or river"""
self._close_round()
if self.stage == Stage.PREFLOP:
self.stage = Stage.FLOP
self._distribute_cards_to_table(3)
elif self.stage == Stage.FLOP:
self.stage = Stage.TURN
self._distribute_cards_to_table(1)
elif self.stage == Stage.TURN:
self.stage = Stage.RIVER
self._distribute_cards_to_table(1)
elif self.stage == Stage.RIVER:
self.stage = Stage.SHOWDOWN
log.info("--------------------------------")
log.info(f"===ROUND: {self.stage} ===")
self._clean_up_pots()
def _clean_up_pots(self):
self.community_pot += self.current_round_pot
self.current_round_pot = 0
self.player_pots = [0] * len(self.players)
def _end_hand(self):
self._clean_up_pots()
self.winner_ix = self._get_winner()
self._award_winner(self.winner_ix)
def _get_winner(self):
"""Determine which player has won the hand"""
potential_winners = self.player_cycle.get_potential_winners()
potential_winner_idx = [
i for i, potential_winner in enumerate(potential_winners)
if potential_winner
]
if sum(potential_winners) == 1:
winner_ix = [
i for i, active in enumerate(potential_winners) if active
][0]
winning_card_type = 'Only remaining player in round'
else:
assert self.stage == Stage.SHOWDOWN
remaining_player_winner_ix, winning_card_type = get_winner([
player.cards for ix, player in enumerate(self.players)
if potential_winners[ix]
], self.table_cards)
winner_ix = potential_winner_idx[remaining_player_winner_ix]
log.info(f"Player {winner_ix} won: {winning_card_type}")
return winner_ix
def _award_winner(self, winner_ix):
"""Hand the pot to the winner and handle side pots"""
max_win_per_player_for_winner = self.player_max_win[winner_ix]
total_winnings = sum(
np.minimum(max_win_per_player_for_winner, self.player_max_win))
remains = np.maximum(0,
np.array(self.player_max_win) -
max_win_per_player_for_winner) # to be returned
self.players[winner_ix].stack += total_winnings
self.winner_ix = winner_ix
if total_winnings < sum(self.player_max_win):
log.info("Returning side pots")
for i, player in enumerate(self.players):
player.stack += remains[i]
def _next_dealer(self):
self.dealer_pos = self.player_cycle.next_dealer().seat
def _next_player(self):
"""Move to the next player"""
self.current_player = self.player_cycle.next_player()
if not self.current_player:
if sum(self.player_cycle.alive) < 2:
log.info("Only one player remaining in round")
self.stage = Stage.END_HIDDEN
else:
log.info("End round - no current player returned")
self._end_round()
self._initiate_round()
elif self.current_player == 'max_steps_total' or self.current_player == 'max_steps_after_raiser':
log.debug(self.current_player)
log.info("End of round ")
self._end_round()
return
def _get_legal_moves(self):
"""Determine what moves are allowed in the current state"""
self.action_space = []
if self.current_round_pot == 0:
self.action_space.append(Action.CHECK)
else:
self.action_space.append(Action.CALL)
self.action_space.append(Action.FOLD)
if self.player_cycle.is_raising_allowed():
if self.current_player.stack >= 3 * self.big_blind >= self.min_call:
self.action_space.append(Action.RAISE_3BB)
if self.current_player.stack >= (
(self.community_pot + self.current_round_pot) /
2) >= self.min_call:
self.action_space.append(Action.RAISE_HALF_POT)
if self.current_player.stack >= (
self.community_pot +
self.current_round_pot) >= self.min_call:
self.action_space.append(Action.RAISE_POT)
if self.current_player.stack >= (
(self.community_pot + self.current_round_pot) *
2) >= self.min_call:
self.action_space.append(Action.RAISE_2POT)
if self.current_player.stack > 0:
self.action_space.append(Action.ALL_IN)
log.debug(
f"Community+current round pot pot: {self.community_pot + self.current_round_pot}"
)
def _close_round(self):
"""put player_pots into community pots"""
self.community_pot += sum(self.player_pots)
self.player_pots = [0] * len(self.players)
self.played_in_round = 0
def _create_card_deck(self):
values = "23456789TJQKA"
suites = "CDHS"
self.deck = [] # contains cards in the deck
_ = [self.deck.append(x + y) for x in values for y in suites]
def _distribute_cards(self):
log.info(f"Dealer is at position {self.dealer_pos}")
for player in self.players:
player.cards = []
if player.stack <= 0:
continue
for _ in range(2):
card = np.random.randint(0, len(self.deck))
player.cards.append(self.deck.pop(card))
log.info(
f"Player {player.seat} got {player.cards} and ${player.stack}")
def _distribute_cards_to_table(self, amount_of_cards):
for _ in range(amount_of_cards):
card = np.random.randint(0, len(self.deck))
self.table_cards.append(self.deck.pop(card))
log.info(f"Cards on table: {self.table_cards}")
def render(self, mode='human'):
"""Render the current state"""
screen_width = 600
screen_height = 400
table_radius = 200
face_radius = 10
if self.viewer is None:
self.viewer = PygletWindow(screen_width + 50, screen_height + 50)
self.viewer.reset()
self.viewer.circle(screen_width / 2,
screen_height / 2,
table_radius,
color=BLUE,
thickness=0)
for i in range(len(self.players)):
degrees = i * (360 / len(self.players))
radian = (degrees * (np.pi / 180))
x = (face_radius +
table_radius) * np.cos(radian) + screen_width / 2
y = (face_radius +
table_radius) * np.sin(radian) + screen_height / 2
if self.player_cycle.alive[i]:
color = GREEN
else:
color = RED
self.viewer.circle(x, y, face_radius, color=color, thickness=2)
try:
if i == self.current_player.seat:
self.viewer.rectangle(x - 60, y, 150, -50, (255, 0, 0, 10))
except AttributeError:
pass
self.viewer.text(f"{self.players[i].name}",
x - 60,
y - 15,
font_size=10,
color=WHITE)
self.viewer.text(
f"Player {self.players[i].seat}: {self.players[i].cards}",
x - 60,
y,
font_size=10,
color=WHITE)
equity_alive = int(round(
float(self.players[i].equity_alive) * 100))
self.viewer.text(f"${self.players[i].stack} (EQ: {equity_alive}%)",
x - 60,
y + 15,
font_size=10,
color=WHITE)
try:
self.viewer.text(self.players[i].last_action_in_stage,
x - 60,
y + 30,
font_size=10,
color=WHITE)
except IndexError:
pass
x_inner = (-face_radius + table_radius -
60) * np.cos(radian) + screen_width / 2
y_inner = (-face_radius + table_radius -
60) * np.sin(radian) + screen_height / 2
self.viewer.text(f"${self.player_pots[i]}",
x_inner,
y_inner,
font_size=10,
color=WHITE)
self.viewer.text(f"{self.table_cards}",
screen_width / 2 - 40,
screen_height / 2,
font_size=10,
color=WHITE)
self.viewer.text(f"${self.community_pot}",
screen_width / 2 - 15,
screen_height / 2 + 30,
font_size=10,
color=WHITE)
self.viewer.text(f"${self.current_round_pot}",
screen_width / 2 - 15,
screen_height / 2 + 50,
font_size=10,
color=WHITE)
x_button = (-face_radius + table_radius -
20) * np.cos(radian) + screen_width / 2
y_button = (-face_radius + table_radius -
20) * np.sin(radian) + screen_height / 2
try:
if i == self.player_cycle.dealer_idx:
self.viewer.circle(x_button,
y_button,
5,
color=BLUE,
thickness=2)
except AttributeError:
pass
self.viewer.update()