def move_to_pos(self, pos: tuple, features: BaseHighLevelState,
game_interface: HFOAttackingPlayer):
""" The agent keeps moving until reach the position expected """
curr_pos = features.get_pos_tuple(round_ndigits=1)
while pos != curr_pos:
hfo_action = (MOVE_TO, pos[0], pos[1])
status, observation = game_interface.step(hfo_action,
features.has_ball())
# Update features:
features.update_features(observation)
curr_pos = features.get_pos_tuple(round_ndigits=1)
def dribble_to_pos(self, pos: tuple, features: BaseHighLevelState,
game_interface: HFOAttackingPlayer):
""" The agent keeps dribbling until reach the position expected """
def check_valid_pos(pos_tuple: tuple):
for pos_aux in pos_tuple:
try:
num_digits = len(str(pos_aux).split(".")[1])
if num_digits >= 2:
return False
except IndexError:
pass
return True
if check_valid_pos(pos) is False:
raise Exception("Initial positions invalid. Initial positions "
"should be a float with 1 digit or less")
curr_pos = features.get_pos_tuple(round_ndigits=1)
while pos != curr_pos:
hfo_action = (DRIBBLE_TO, pos[0], pos[1])
status, observation = game_interface.step(hfo_action,
features.has_ball())
# Update features:
features.update_features(observation)
curr_pos = features.get_pos_tuple(round_ndigits=1)
def shoot_ball(self, game_interface: HFOAttackingPlayer,
features: BaseHighLevelState):
""" Tries to shoot, if it fail, kicks to goal randomly """
# Get best shoot angle:
angles = []
goalie_coord = np.array([features.opponents[0].x_pos,
features.opponents[0].y_pos])
player_coord = np.array(features.get_pos_tuple())
for goal_pos in self.shoot_possible_coord:
angles.append(get_angle(goalie=goalie_coord, player=player_coord,
point=goal_pos))
idx = int(np.argmax(np.array(angles)))
best_shoot_coord = self.shoot_possible_coord[idx]
# Action parameters:
hfo_action = (KICK_TO, best_shoot_coord[0], best_shoot_coord[1], 2.5)
# Step game:
_, obs = game_interface.step(hfo_action, features.has_ball())
# Update features:
features.update_features(obs)
return game_interface.get_game_status(), \
game_interface.get_observation_array()