wip Gym : Claude AI suggestion
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5 changed files with 1495 additions and 34 deletions
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@ -2,41 +2,404 @@ import gym
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import numpy as np
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from gym import spaces
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import trictrac # module Rust exposé via PyO3
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from typing import Dict, List, Tuple, Optional, Any, Union
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class TricTracEnv(gym.Env):
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"""Environnement OpenAI Gym pour le jeu de Trictrac"""
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def __init__(self):
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metadata = {"render.modes": ["human"]}
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def __init__(self, opponent_strategy="random"):
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super(TricTracEnv, self).__init__()
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# Définition des espaces d'observation et d'action
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self.observation_space = spaces.Box(low=0, high=1, shape=(N,), dtype=np.int32) # Exemple
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self.action_space = spaces.Discrete(ACTION_COUNT) # Exemple
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self.game = trictrac.TricTrac() # Instance du jeu en Rust
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self.state = self.game.get_state() # État initial
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# Instancier le jeu
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self.game = trictrac.TricTrac()
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def step(self, action):
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"""Exécute une action et retourne (next_state, reward, done, info)"""
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self.game.play(action)
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self.state = self.game.get_state()
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reward = self.compute_reward()
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done = self.game.is_done()
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return self.state, reward, done, {}
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# Stratégie de l'adversaire
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self.opponent_strategy = opponent_strategy
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# Constantes
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self.MAX_FIELD = 24 # Nombre de cases sur le plateau
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self.MAX_CHECKERS = 15 # Nombre maximum de pièces par joueur
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# Définition de l'espace d'observation
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# Format:
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# - Position des pièces blanches (24)
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# - Position des pièces noires (24)
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# - Joueur actif (1: blanc, 2: noir) (1)
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# - Valeurs des dés (2)
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# - Points de chaque joueur (2)
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# - Trous de chaque joueur (2)
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# - Phase du jeu (1)
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self.observation_space = spaces.Dict({
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'board': spaces.Box(low=-self.MAX_CHECKERS, high=self.MAX_CHECKERS, shape=(self.MAX_FIELD,), dtype=np.int8),
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'active_player': spaces.Discrete(3), # 0: pas de joueur, 1: blanc, 2: noir
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'dice': spaces.MultiDiscrete([7, 7]), # Valeurs des dés (1-6)
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'white_points': spaces.Discrete(13), # Points du joueur blanc (0-12)
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'white_holes': spaces.Discrete(13), # Trous du joueur blanc (0-12)
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'black_points': spaces.Discrete(13), # Points du joueur noir (0-12)
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'black_holes': spaces.Discrete(13), # Trous du joueur noir (0-12)
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'turn_stage': spaces.Discrete(6), # Étape du tour
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})
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# Définition de l'espace d'action
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# Format:
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# - Action type: 0=move, 1=mark, 2=go
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# - Move: (from1, to1, from2, to2) ou zeros
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self.action_space = spaces.Dict({
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'action_type': spaces.Discrete(3),
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'move': spaces.MultiDiscrete([self.MAX_FIELD + 1, self.MAX_FIELD + 1,
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self.MAX_FIELD + 1, self.MAX_FIELD + 1])
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})
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# État courant
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self.state = self._get_observation()
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# Historique des états pour éviter les situations sans issue
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self.state_history = []
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# Pour le débogage et l'entraînement
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self.steps_taken = 0
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self.max_steps = 1000 # Limite pour éviter les parties infinies
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def reset(self):
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"""Réinitialise la partie"""
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"""Réinitialise l'environnement et renvoie l'état initial"""
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self.game.reset()
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self.state = self.game.get_state()
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self.state = self._get_observation()
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self.state_history = []
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self.steps_taken = 0
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return self.state
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def step(self, action):
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"""
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Exécute une action et retourne (state, reward, done, info)
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Action format:
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{
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'action_type': 0/1/2, # 0=move, 1=mark, 2=go
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'move': [from1, to1, from2, to2] # Utilisé seulement si action_type=0
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}
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"""
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action_type = action['action_type']
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reward = 0
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done = False
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info = {}
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# Vérifie que l'action est valide pour le joueur humain (id=1)
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player_id = self.game.get_active_player_id()
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is_agent_turn = player_id == 1 # L'agent joue toujours le joueur 1
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if is_agent_turn:
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# Exécute l'action selon son type
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if action_type == 0: # Move
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from1, to1, from2, to2 = action['move']
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move_made = self.game.play_move(((from1, to1), (from2, to2)))
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if not move_made:
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# Pénaliser les mouvements invalides
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reward -= 2.0
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info['invalid_move'] = True
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else:
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# Petit bonus pour un mouvement valide
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reward += 0.1
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elif action_type == 1: # Mark
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points = self.game.calculate_points()
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marked = self.game.mark_points(points)
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if not marked:
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# Pénaliser les actions invalides
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reward -= 2.0
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info['invalid_mark'] = True
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else:
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# Bonus pour avoir marqué des points
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reward += 0.1 * points
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elif action_type == 2: # Go
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go_made = self.game.choose_go()
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if not go_made:
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# Pénaliser les actions invalides
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reward -= 2.0
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info['invalid_go'] = True
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else:
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# Petit bonus pour l'action valide
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reward += 0.1
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else:
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# Tour de l'adversaire
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self._play_opponent_turn()
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# Vérifier si la partie est terminée
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if self.game.is_done():
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done = True
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winner = self.game.get_winner()
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if winner == 1:
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# Bonus si l'agent gagne
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reward += 10.0
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info['winner'] = 'agent'
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else:
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# Pénalité si l'adversaire gagne
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reward -= 5.0
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info['winner'] = 'opponent'
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# Récompense basée sur la progression des trous
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agent_holes = self.game.get_score(1)
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opponent_holes = self.game.get_score(2)
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reward += 0.5 * (agent_holes - opponent_holes)
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# Mettre à jour l'état
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new_state = self._get_observation()
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# Vérifier les états répétés
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if self._is_state_repeating(new_state):
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reward -= 0.2 # Pénalité légère pour éviter les boucles
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info['repeating_state'] = True
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# Ajouter l'état à l'historique
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self.state_history.append(self._get_state_id())
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# Limiter la durée des parties
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self.steps_taken += 1
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if self.steps_taken >= self.max_steps:
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done = True
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info['timeout'] = True
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# Comparer les scores en cas de timeout
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if agent_holes > opponent_holes:
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reward += 5.0
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info['winner'] = 'agent'
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elif opponent_holes > agent_holes:
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reward -= 2.0
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info['winner'] = 'opponent'
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self.state = new_state
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return self.state, reward, done, info
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def _play_opponent_turn(self):
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"""Simule le tour de l'adversaire avec la stratégie choisie"""
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player_id = self.game.get_active_player_id()
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# Boucle tant qu'il est au tour de l'adversaire
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while player_id == 2 and not self.game.is_done():
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# Action selon l'étape du tour
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state_dict = self._get_state_dict()
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turn_stage = state_dict.get('turn_stage')
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if turn_stage == 'RollDice' or turn_stage == 'RollWaiting':
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self.game.roll_dice()
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elif turn_stage == 'MarkPoints' or turn_stage == 'MarkAdvPoints':
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points = self.game.calculate_points()
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self.game.mark_points(points)
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elif turn_stage == 'HoldOrGoChoice':
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# Stratégie simple: toujours continuer (Go)
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self.game.choose_go()
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elif turn_stage == 'Move':
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available_moves = self.game.get_available_moves()
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if available_moves:
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if self.opponent_strategy == "random":
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# Choisir un mouvement au hasard
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move = available_moves[np.random.randint(0, len(available_moves))]
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else:
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# Par défaut, prendre le premier mouvement valide
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move = available_moves[0]
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self.game.play_move(move)
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# Mise à jour de l'ID du joueur actif
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player_id = self.game.get_active_player_id()
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def _get_observation(self):
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"""Convertit l'état du jeu en un format utilisable par l'apprentissage par renforcement"""
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state_dict = self._get_state_dict()
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# Créer un tableau représentant le plateau
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board = np.zeros(self.MAX_FIELD, dtype=np.int8)
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# Remplir les positions des pièces blanches (valeurs positives)
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white_positions = state_dict.get('white_positions', [])
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for pos, count in white_positions:
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if 1 <= pos <= self.MAX_FIELD:
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board[pos-1] = count
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# Remplir les positions des pièces noires (valeurs négatives)
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black_positions = state_dict.get('black_positions', [])
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for pos, count in black_positions:
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if 1 <= pos <= self.MAX_FIELD:
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board[pos-1] = -count
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# Créer l'observation complète
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observation = {
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'board': board,
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'active_player': state_dict.get('active_player', 0),
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'dice': np.array([
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state_dict.get('dice', (1, 1))[0],
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state_dict.get('dice', (1, 1))[1]
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]),
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'white_points': state_dict.get('white_points', 0),
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'white_holes': state_dict.get('white_holes', 0),
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'black_points': state_dict.get('black_points', 0),
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'black_holes': state_dict.get('black_holes', 0),
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'turn_stage': self._turn_stage_to_int(state_dict.get('turn_stage', 'RollDice')),
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}
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return observation
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def _get_state_dict(self) -> Dict:
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"""Récupère l'état du jeu sous forme de dictionnaire depuis le module Rust"""
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return self.game.get_state_dict()
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def _get_state_id(self) -> str:
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"""Récupère l'identifiant unique de l'état actuel"""
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return self.game.get_state_id()
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def _is_state_repeating(self, new_state) -> bool:
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"""Vérifie si l'état se répète trop souvent"""
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state_id = self.game.get_state_id()
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# Compter les occurrences de l'état dans l'historique récent
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count = sum(1 for s in self.state_history[-10:] if s == state_id)
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return count >= 3 # Considéré comme répétitif si l'état apparaît 3 fois ou plus
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def _turn_stage_to_int(self, turn_stage: str) -> int:
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"""Convertit l'étape du tour en entier pour l'observation"""
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stages = {
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'RollDice': 0,
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'RollWaiting': 1,
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'MarkPoints': 2,
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'HoldOrGoChoice': 3,
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'Move': 4,
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'MarkAdvPoints': 5
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}
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return stages.get(turn_stage, 0)
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def render(self, mode="human"):
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"""Affiche l'état du jeu"""
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print(self.game)
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"""Affiche l'état actuel du jeu"""
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if mode == "human":
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print(str(self.game))
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print(f"État actuel: {self._get_state_id()}")
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def compute_reward(self):
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"""Calcule la récompense (à définir)"""
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return 0 # À affiner selon la stratégie d'entraînement
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# Afficher les actions possibles
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if self.game.get_active_player_id() == 1:
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turn_stage = self._get_state_dict().get('turn_stage')
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print(f"Étape: {turn_stage}")
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if turn_stage == 'Move' or turn_stage == 'HoldOrGoChoice':
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print("Mouvements possibles:")
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moves = self.game.get_available_moves()
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for i, move in enumerate(moves):
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print(f" {i}: {move}")
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if turn_stage == 'HoldOrGoChoice':
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print("Option: Go (continuer)")
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def get_action_mask(self):
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"""Retourne un masque des actions valides dans l'état actuel"""
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state_dict = self._get_state_dict()
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turn_stage = state_dict.get('turn_stage')
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# Masque par défaut (toutes les actions sont invalides)
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mask = {
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'action_type': np.zeros(3, dtype=bool),
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'move': np.zeros((self.MAX_FIELD + 1, self.MAX_FIELD + 1,
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self.MAX_FIELD + 1, self.MAX_FIELD + 1), dtype=bool)
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}
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if self.game.get_active_player_id() != 1:
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return mask # Pas au tour de l'agent
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# Activer les types d'actions valides selon l'étape du tour
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if turn_stage == 'Move' or turn_stage == 'HoldOrGoChoice':
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mask['action_type'][0] = True # Activer l'action de mouvement
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# Activer les mouvements valides
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valid_moves = self.game.get_available_moves()
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for ((from1, to1), (from2, to2)) in valid_moves:
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mask['move'][from1, to1, from2, to2] = True
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if turn_stage == 'MarkPoints' or turn_stage == 'MarkAdvPoints':
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mask['action_type'][1] = True # Activer l'action de marquer des points
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if turn_stage == 'HoldOrGoChoice':
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mask['action_type'][2] = True # Activer l'action de continuer (Go)
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return mask
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def sample_valid_action(self):
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"""Échantillonne une action valide selon le masque d'actions"""
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mask = self.get_action_mask()
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# Trouver les types d'actions valides
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valid_action_types = np.where(mask['action_type'])[0]
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if len(valid_action_types) == 0:
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# Aucune action valide (pas le tour de l'agent)
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return {
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'action_type': 0,
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'move': np.zeros(4, dtype=np.int32)
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}
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# Choisir un type d'action
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action_type = np.random.choice(valid_action_types)
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action = {
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'action_type': action_type,
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'move': np.zeros(4, dtype=np.int32)
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}
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# Si c'est un mouvement, sélectionner un mouvement valide
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if action_type == 0:
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valid_moves = np.where(mask['move'])
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if len(valid_moves[0]) > 0:
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# Sélectionner un mouvement valide aléatoirement
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idx = np.random.randint(0, len(valid_moves[0]))
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from1 = valid_moves[0][idx]
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to1 = valid_moves[1][idx]
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from2 = valid_moves[2][idx]
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to2 = valid_moves[3][idx]
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action['move'] = np.array([from1, to1, from2, to2], dtype=np.int32)
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return action
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def close(self):
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"""Nettoie les ressources à la fermeture de l'environnement"""
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pass
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# Exemple d'utilisation avec Stable-Baselines3
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def example_usage():
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from stable_baselines3 import PPO
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from stable_baselines3.common.vec_env import DummyVecEnv
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# Fonction d'enveloppement pour créer l'environnement
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def make_env():
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return TricTracEnv()
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# Créer un environnement vectorisé (peut être parallélisé)
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env = DummyVecEnv([make_env])
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# Créer le modèle
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model = PPO("MultiInputPolicy", env, verbose=1)
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# Entraîner le modèle
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model.learn(total_timesteps=10000)
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# Sauvegarder le modèle
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model.save("trictrac_ppo")
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print("Entraînement terminé et modèle sauvegardé")
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if __name__ == "__main__":
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# Tester l'environnement
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env = TricTracEnv()
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obs = env.reset()
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print("Environnement initialisé")
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env.render()
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# Jouer quelques coups aléatoires
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for _ in range(10):
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action = env.sample_valid_action()
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obs, reward, done, info = env.step(action)
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print(f"\nAction: {action}")
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print(f"Reward: {reward}")
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print(f"Info: {info}")
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env.render()
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if done:
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print("Game over!")
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break
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env.close()
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@ -1,34 +1,329 @@
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//! # Expose trictrac game state and rules in a python module
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use pyo3::prelude::*;
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use pyo3::types::PyTuple;
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use pyo3::types::PyDict;
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use crate::board::CheckerMove;
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use crate::dice::Dice;
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use crate::game::{GameEvent, GameState, Stage, TurnStage};
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use crate::game_rules_moves::MoveRules;
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use crate::game_rules_points::PointsRules;
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use crate::player::{Color, PlayerId};
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|
||||
#[pyclass]
|
||||
struct TricTrac {
|
||||
state: String, // Remplace par ta structure d'état du jeu
|
||||
game_state: GameState,
|
||||
dice_roll_sequence: Vec<(u8, u8)>,
|
||||
current_dice_index: usize,
|
||||
}
|
||||
|
||||
#[pymethods]
|
||||
impl TricTrac {
|
||||
#[new]
|
||||
fn new() -> Self {
|
||||
let mut game_state = GameState::new(false); // schools_enabled = false
|
||||
|
||||
// Initialiser 2 joueurs
|
||||
game_state.init_player("player1");
|
||||
game_state.init_player("bot");
|
||||
|
||||
// Commencer la partie avec le joueur 1
|
||||
game_state.consume(&GameEvent::BeginGame { goes_first: 1 });
|
||||
|
||||
TricTrac {
|
||||
state: "Initial state".to_string(),
|
||||
game_state,
|
||||
dice_roll_sequence: Vec::new(),
|
||||
current_dice_index: 0,
|
||||
}
|
||||
}
|
||||
|
||||
fn get_state(&self) -> String {
|
||||
self.state.clone()
|
||||
/// Obtenir l'état du jeu sous forme de chaîne de caractères compacte
|
||||
fn get_state_id(&self) -> String {
|
||||
self.game_state.to_string_id()
|
||||
}
|
||||
|
||||
fn get_available_moves(&self) -> Vec<(i32, i32)> {
|
||||
vec![(0, 5), (3, 8)] // Remplace par ta logique de génération de coups
|
||||
/// Obtenir l'état du jeu sous forme de dictionnaire pour faciliter l'entrainement
|
||||
fn get_state_dict(&self) -> PyResult<Py<PyDict>> {
|
||||
Python::with_gil(|py| {
|
||||
let state_dict = PyDict::new(py);
|
||||
|
||||
// Informations essentielles sur l'état du jeu
|
||||
state_dict.set_item("active_player", self.game_state.active_player_id)?;
|
||||
state_dict.set_item("stage", format!("{:?}", self.game_state.stage))?;
|
||||
state_dict.set_item("turn_stage", format!("{:?}", self.game_state.turn_stage))?;
|
||||
|
||||
// Dés
|
||||
let (dice1, dice2) = self.game_state.dice.values;
|
||||
state_dict.set_item("dice", (dice1, dice2))?;
|
||||
|
||||
// Points des joueurs
|
||||
if let Some(white_player) = self.game_state.get_white_player() {
|
||||
state_dict.set_item("white_points", white_player.points)?;
|
||||
state_dict.set_item("white_holes", white_player.holes)?;
|
||||
}
|
||||
|
||||
if let Some(black_player) = self.game_state.get_black_player() {
|
||||
state_dict.set_item("black_points", black_player.points)?;
|
||||
state_dict.set_item("black_holes", black_player.holes)?;
|
||||
}
|
||||
|
||||
// Positions des pièces
|
||||
let white_positions = self.get_checker_positions(Color::White);
|
||||
let black_positions = self.get_checker_positions(Color::Black);
|
||||
|
||||
state_dict.set_item("white_positions", white_positions)?;
|
||||
state_dict.set_item("black_positions", black_positions)?;
|
||||
|
||||
// État compact pour la comparaison d'états
|
||||
state_dict.set_item("state_id", self.game_state.to_string_id())?;
|
||||
|
||||
Ok(state_dict.into())
|
||||
})
|
||||
}
|
||||
|
||||
fn play_move(&mut self, from_pos: i32, to_pos: i32) -> bool {
|
||||
// Ajoute la logique du jeu ici
|
||||
println!("Move... from {} to {}", from_pos, to_pos);
|
||||
/// Renvoie les positions des pièces pour un joueur spécifique
|
||||
fn get_checker_positions(&self, color: Color) -> Vec<(usize, i8)> {
|
||||
self.game_state.board.get_color_fields(color)
|
||||
}
|
||||
|
||||
/// Obtenir la liste des mouvements légaux sous forme de paires (from, to)
|
||||
fn get_available_moves(&self) -> Vec<((usize, usize), (usize, usize))> {
|
||||
// L'agent joue toujours le joueur actif
|
||||
let color = self
|
||||
.game_state
|
||||
.player_color_by_id(&self.game_state.active_player_id)
|
||||
.unwrap_or(Color::White);
|
||||
|
||||
// Si ce n'est pas le moment de déplacer les pièces, retourner une liste vide
|
||||
if self.game_state.turn_stage != TurnStage::Move
|
||||
&& self.game_state.turn_stage != TurnStage::HoldOrGoChoice
|
||||
{
|
||||
return vec![];
|
||||
}
|
||||
|
||||
let rules = MoveRules::new(&color, &self.game_state.board, self.game_state.dice);
|
||||
let possible_moves = rules.get_possible_moves_sequences(true, vec![]);
|
||||
|
||||
// Convertir les mouvements CheckerMove en tuples (from, to) pour Python
|
||||
possible_moves
|
||||
.into_iter()
|
||||
.map(|(move1, move2)| {
|
||||
(
|
||||
(move1.get_from(), move1.get_to()),
|
||||
(move2.get_from(), move2.get_to()),
|
||||
)
|
||||
})
|
||||
.collect()
|
||||
}
|
||||
|
||||
/// Jouer un coup ((from1, to1), (from2, to2))
|
||||
fn play_move(&mut self, moves: ((usize, usize), (usize, usize))) -> bool {
|
||||
let ((from1, to1), (from2, to2)) = moves;
|
||||
|
||||
// Vérifier que c'est au tour du joueur de jouer
|
||||
if self.game_state.turn_stage != TurnStage::Move
|
||||
&& self.game_state.turn_stage != TurnStage::HoldOrGoChoice
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
let move1 = CheckerMove::new(from1, to1).unwrap_or_default();
|
||||
let move2 = CheckerMove::new(from2, to2).unwrap_or_default();
|
||||
|
||||
let event = GameEvent::Move {
|
||||
player_id: self.game_state.active_player_id,
|
||||
moves: (move1, move2),
|
||||
};
|
||||
|
||||
// Vérifier si le mouvement est valide
|
||||
if !self.game_state.validate(&event) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// Exécuter le mouvement
|
||||
self.game_state.consume(&event);
|
||||
|
||||
// Si l'autre joueur doit lancer les dés maintenant, simuler ce lancement
|
||||
if self.game_state.turn_stage == TurnStage::RollDice {
|
||||
self.roll_dice();
|
||||
}
|
||||
|
||||
true
|
||||
}
|
||||
|
||||
/// Lancer les dés (soit aléatoirement, soit en utilisant une séquence prédéfinie)
|
||||
fn roll_dice(&mut self) -> (u8, u8) {
|
||||
// Vérifier que c'est au bon moment pour lancer les dés
|
||||
if self.game_state.turn_stage != TurnStage::RollDice
|
||||
&& self.game_state.turn_stage != TurnStage::RollWaiting
|
||||
{
|
||||
return self.game_state.dice.values;
|
||||
}
|
||||
|
||||
// Simuler un lancer de dés
|
||||
let dice_values = if !self.dice_roll_sequence.is_empty()
|
||||
&& self.current_dice_index < self.dice_roll_sequence.len()
|
||||
{
|
||||
// Utiliser la séquence prédéfinie
|
||||
let dice = self.dice_roll_sequence[self.current_dice_index];
|
||||
self.current_dice_index += 1;
|
||||
dice
|
||||
} else {
|
||||
// Générer aléatoirement
|
||||
(
|
||||
(1 + (rand::random::<u8>() % 6)),
|
||||
(1 + (rand::random::<u8>() % 6)),
|
||||
)
|
||||
};
|
||||
|
||||
// Envoyer les événements appropriés
|
||||
let roll_event = GameEvent::Roll {
|
||||
player_id: self.game_state.active_player_id,
|
||||
};
|
||||
|
||||
if self.game_state.validate(&roll_event) {
|
||||
self.game_state.consume(&roll_event);
|
||||
}
|
||||
|
||||
let roll_result_event = GameEvent::RollResult {
|
||||
player_id: self.game_state.active_player_id,
|
||||
dice: Dice {
|
||||
values: dice_values,
|
||||
},
|
||||
};
|
||||
|
||||
if self.game_state.validate(&roll_result_event) {
|
||||
self.game_state.consume(&roll_result_event);
|
||||
}
|
||||
|
||||
dice_values
|
||||
}
|
||||
|
||||
/// Marquer des points
|
||||
fn mark_points(&mut self, points: u8) -> bool {
|
||||
// Vérifier que c'est au bon moment pour marquer des points
|
||||
if self.game_state.turn_stage != TurnStage::MarkPoints
|
||||
&& self.game_state.turn_stage != TurnStage::MarkAdvPoints
|
||||
{
|
||||
return false;
|
||||
}
|
||||
|
||||
let event = GameEvent::Mark {
|
||||
player_id: self.game_state.active_player_id,
|
||||
points,
|
||||
};
|
||||
|
||||
// Vérifier si l'événement est valide
|
||||
if !self.game_state.validate(&event) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// Exécuter l'événement
|
||||
self.game_state.consume(&event);
|
||||
|
||||
// Si l'autre joueur doit lancer les dés maintenant, simuler ce lancement
|
||||
if self.game_state.turn_stage == TurnStage::RollDice {
|
||||
self.roll_dice();
|
||||
}
|
||||
|
||||
true
|
||||
}
|
||||
|
||||
/// Choisir de "continuer" (Go) après avoir gagné un trou
|
||||
fn choose_go(&mut self) -> bool {
|
||||
// Vérifier que c'est au bon moment pour choisir de continuer
|
||||
if self.game_state.turn_stage != TurnStage::HoldOrGoChoice {
|
||||
return false;
|
||||
}
|
||||
|
||||
let event = GameEvent::Go {
|
||||
player_id: self.game_state.active_player_id,
|
||||
};
|
||||
|
||||
// Vérifier si l'événement est valide
|
||||
if !self.game_state.validate(&event) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// Exécuter l'événement
|
||||
self.game_state.consume(&event);
|
||||
|
||||
// Simuler le lancer de dés pour le prochain tour
|
||||
self.roll_dice();
|
||||
|
||||
true
|
||||
}
|
||||
|
||||
/// Calcule les points maximaux que le joueur actif peut obtenir avec les dés actuels
|
||||
fn calculate_points(&self) -> u8 {
|
||||
let active_player = self
|
||||
.game_state
|
||||
.players
|
||||
.get(&self.game_state.active_player_id);
|
||||
|
||||
if let Some(player) = active_player {
|
||||
let dice_roll_count = player.dice_roll_count;
|
||||
let color = player.color;
|
||||
|
||||
let points_rules =
|
||||
PointsRules::new(&color, &self.game_state.board, self.game_state.dice);
|
||||
let (points, _) = points_rules.get_points(dice_roll_count);
|
||||
|
||||
points
|
||||
} else {
|
||||
0
|
||||
}
|
||||
}
|
||||
|
||||
/// Réinitialise la partie
|
||||
fn reset(&mut self) {
|
||||
self.game_state = GameState::new(false);
|
||||
|
||||
// Initialiser 2 joueurs
|
||||
self.game_state.init_player("player1");
|
||||
self.game_state.init_player("bot");
|
||||
|
||||
// Commencer la partie avec le joueur 1
|
||||
self.game_state
|
||||
.consume(&GameEvent::BeginGame { goes_first: 1 });
|
||||
|
||||
// Réinitialiser l'index de la séquence de dés
|
||||
self.current_dice_index = 0;
|
||||
}
|
||||
|
||||
/// Vérifie si la partie est terminée
|
||||
fn is_done(&self) -> bool {
|
||||
self.game_state.stage == Stage::Ended || self.game_state.determine_winner().is_some()
|
||||
}
|
||||
|
||||
/// Obtenir le gagnant de la partie
|
||||
fn get_winner(&self) -> Option<PlayerId> {
|
||||
self.game_state.determine_winner()
|
||||
}
|
||||
|
||||
/// Obtenir le score du joueur actif (nombre de trous)
|
||||
fn get_score(&self, player_id: PlayerId) -> i32 {
|
||||
if let Some(player) = self.game_state.players.get(&player_id) {
|
||||
player.holes as i32
|
||||
} else {
|
||||
-1
|
||||
}
|
||||
}
|
||||
|
||||
/// Obtenir l'ID du joueur actif
|
||||
fn get_active_player_id(&self) -> PlayerId {
|
||||
self.game_state.active_player_id
|
||||
}
|
||||
|
||||
/// Définir une séquence de dés à utiliser (pour la reproductibilité)
|
||||
fn set_dice_sequence(&mut self, sequence: Vec<(u8, u8)>) {
|
||||
self.dice_roll_sequence = sequence;
|
||||
self.current_dice_index = 0;
|
||||
}
|
||||
|
||||
/// Afficher l'état du jeu (pour le débogage)
|
||||
fn __str__(&self) -> String {
|
||||
format!("{}", self.game_state)
|
||||
}
|
||||
}
|
||||
|
||||
/// A Python module implemented in Rust. The name of this function must match
|
||||
|
|
|
|||
|
|
@ -1,9 +1,11 @@
|
|||
use serde::{Deserialize, Serialize};
|
||||
use std::fmt;
|
||||
use pyo3::prelude::*;
|
||||
|
||||
// This just makes it easier to dissern between a player id and any ol' u64
|
||||
pub type PlayerId = u64;
|
||||
|
||||
#[pyclass]
|
||||
#[derive(Copy, Debug, Clone, PartialEq, Serialize, Deserialize)]
|
||||
pub enum Color {
|
||||
White,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue