def __roll_forward(self):
# 盤面情報
stage_manager = StageDBAccessManager()
board, agents = stage_manager.get_stage_data(self.battle_id)
self.game = Game(board, agents)
# 行動履歴取得
action_manager = ActionDBAccessManager()
action_history = action_manager.get_data(battle_id=self.battle_id)
action_history = sorted(action_history, key=lambda x: x["turn"])
# 盤面復元
battle_info = BattleDBAccessManager().get_data(self.battle_id)[0]
for action in action_history:
if action["turn"] <= battle_info["turn"]:
self.__do_action(json.loads(action["detail"])["actions"])
# ターン情報復元
## 試合が開始してからの秒数を計算
start_at_unix_time = battle_info["start_at_unix_time"]
now_unix_time = int(time.mktime(datetime.datetime.now().timetuple()))
passed_time_millis = (now_unix_time - start_at_unix_time) * 1000
## 1ターンに要する時間で割る = 現在時刻でのターン数
period_time_millis = battle_info["turn_mills"] + battle_info["interval_mills"]
self.turn = math.ceil(passed_time_millis / period_time_millis)
self.turn = max(0, min(battle_info["turn"] + 1, self.turn))
self.max_turn = battle_info["turn"]
## 少し待機(復元ターンと現在時刻のずれを修正する)
wait_millis = self.turn * period_time_millis - now_unix_time * 1000
time.sleep(max(0, wait_millis / 1000.0))
def score_test_3():
width = 8
height = 5
points = [
[1, 0, 2, 1, 1, 2, 0, 1],
[0, 1, 0, 1, 1, 0, 1, 0],
[1, 3, -1, 2, 2, -1, 3, 1],
[0, 1, 0, 1, 1, 0, 1, 0],
[1, 0, 2, 1, 1, 2, 0, 1]
]
tiled = [
[0, 1, 1, 1, 1, 1, 1, 0],
[0, 1, 2, 2, 2, 2, 1, 0],
[0, 1, 2, 0, 0, 2, 1 ,0],
[0, 1, 2, 2, 2, 2, 1, 0],
[0, 1, 1, 1, 1, 1, 1, 0]
]
board = Board(width, height, points, tiled)
game = Game(board, [])
true_score = {
1: {
"tilePoint": 22,
"areaPoint": 10
},
2: {
"tilePoint": 2,
"areaPoint": 4
}
}
assert(game.cal_score([1, 2]) == true_score)
def score_test_6():
width = 7
height = 7
points = [
[0, 1, 2, 0, 2, 1, 0],
[2, -2, 0, 1, 0, -2, 2],
[2, 1, 0, -2, 0, 1, 2],
[1, 2, 2, 3, 2, 2, 1],
[1, 2, 2, 3, 2, 2, 1],
[2, 1, 0, -2, 0, 1, 2],
[2, -2, 0, 1, 0, -2, 2]
]
tiled = [
[1, 1, 1, 1, 1, 1, 1],
[1, 0, 0, 0, 0, 0, 1],
[1, 0, 1, 1, 1, 0, 1],
[1, 0, 1, 0, 1, 0, 1],
[1, 0, 1, 1, 1, 0, 1],
[1, 0, 0, 0, 0, 0, 1],
[1, 1, 1, 1, 1, 1, 1]
]
board = Board(width, height, points, tiled)
game = Game(board, [])
true_score = {
1: {
"tilePoint": 32,
"areaPoint": 22
}
}
assert(game.cal_score([1]) == true_score)
def score_test_5():
width = 5
height = 5
points = [
[-2, 0, 1, 0, -2],
[1, 0, -2, 0, 1],
[2, 2, 3, 2, 2],
[2, 2, 3, 2, 2],
[1, 0, -2, 0, 1]
]
tiled = [
[1, 1, 1, 1, 1],
[1, 0, 1, 0, 1],
[1, 1, 1, 1, 1],
[1, 0, 1, 0, 1],
[1, 1, 1, 1, 1]
]
board = Board(width, height, points, tiled)
game = Game(board, [])
true_score = {
1: {
"tilePoint": 15,
"areaPoint": 4
}
}
assert (game.cal_score([1]) == true_score), "Test Failed"
class BattleManager(Thread):
def __init__(self, battle_id):
super().__init__()
self.game = None
self.turn = 1
self.max_turn = 9999999
self.battle_id = battle_id
self.now_interval = False
self.action_writing = False
self.battle_info = BattleDBAccessManager().get_data(battle_id=self.battle_id)[0]
self.finish_battle = threading.Event()
self.__roll_forward()
BattleDBAccessManager().update_battle_status(self.battle_id, 1)
def run(self):
# 0. 準備
battle_db_manager = BattleDBAccessManager()
battle_data = battle_db_manager.get_data(battle_id=self.battle_id)[0]
turn_limit = battle_data["turn"]
turn_mills = battle_data["turn_mills"]
interval_mills = battle_data["interval_mills"]
msleep = lambda t: time.sleep(t / 1000.0)
del(battle_db_manager)
# 1. 試合開始待機
self.__wait_for_start_battle()
# 2. 試合プロセス
self.turn = max(1, self.turn)
for self.turn in range(self.turn, turn_limit + 1):
# 送信待機
msleep(turn_mills)
while self.action_writing:
pass
before_time = int(time.time() * 1000)
# 行動準備
self.now_interval = True
action_db_manager = ActionDBAccessManager()
action = action_db_manager.get_data(self.battle_id, self.turn)
# 行動 -> エージェントステータス更新
if len(action) != 0:
action = json.loads(action[0]["detail"])["actions"]
safety_agents, affected_agents = self.__do_action(action)
for agent in action:
if agent["agent_id"] in safety_agents:
agent["apply"] = 1
elif agent["agent_id"] in affected_agents:
agent["apply"] = 0
action_db_manager.update(self.battle_id, self.turn, json.dumps({"actions": action}))
# 次ターンまで待機
after_time = int(time.time() * 1000)
while before_time + interval_mills > after_time:
after_time = int(time.time() * 1000)
self.now_interval = False
# 終了コマンドを受け取ったら
if self.finish_battle.is_set():
break
# 3. 終了コマンド待機
self.turn = self.max_turn + 1
while not self.finish_battle.is_set():
time.sleep(10)
BattleDBAccessManager().update_battle_status(self.battle_id, 0)
def get_board(self):
return self.game.board
def get_agents(self):
return self.game.agents
def get_score(self):
return self.game.cal_score(
[self.battle_info["teamA"], self.battle_info["teamB"]]
)
def finish(self):
self.finish_battle.set()
def __wait_for_start_battle(self):
now_datetime = datetime.datetime.now()
unix_time = int(time.mktime(now_datetime.timetuple()))
battle_db_manager = BattleDBAccessManager()
start_at_unix_time = battle_db_manager.get_data(battle_id=self.battle_id)[0]["start_at_unix_time"]
del(battle_db_manager)
while unix_time < start_at_unix_time:
now_datetime = datetime.datetime.now()
unix_time = int(time.mktime(now_datetime.timetuple()))
def __roll_forward(self):
# 盤面情報
stage_manager = StageDBAccessManager()
board, agents = stage_manager.get_stage_data(self.battle_id)
self.game = Game(board, agents)
# 行動履歴取得
action_manager = ActionDBAccessManager()
action_history = action_manager.get_data(battle_id=self.battle_id)
action_history = sorted(action_history, key=lambda x: x["turn"])
# 盤面復元
battle_info = BattleDBAccessManager().get_data(self.battle_id)[0]
for action in action_history:
if action["turn"] <= battle_info["turn"]:
self.__do_action(json.loads(action["detail"])["actions"])
# ターン情報復元
## 試合が開始してからの秒数を計算
start_at_unix_time = battle_info["start_at_unix_time"]
now_unix_time = int(time.mktime(datetime.datetime.now().timetuple()))
passed_time_millis = (now_unix_time - start_at_unix_time) * 1000
## 1ターンに要する時間で割る = 現在時刻でのターン数
period_time_millis = battle_info["turn_mills"] + battle_info["interval_mills"]
self.turn = math.ceil(passed_time_millis / period_time_millis)
self.turn = max(0, min(battle_info["turn"] + 1, self.turn))
self.max_turn = battle_info["turn"]
## 少し待機(復元ターンと現在時刻のずれを修正する)
wait_millis = self.turn * period_time_millis - now_unix_time * 1000
time.sleep(max(0, wait_millis / 1000.0))
def __do_action(self, action_detail):
for agent in action_detail:
team_id = agent["team_id"]
agent_id = agent["agent_id"]
remove_panel = agent["type"] == "remove"
dx = agent["dx"]
dy = agent["dy"]
self.game.set_action(team_id, agent_id, dx, dy, remove_panel)
return self.game.step()
def flow_test_2():
width = 7
height = 3
points = [
[1, 4, -2, 5, -2, 4, 1],
[8, 9, 1, 0, 1, 9, 8],
[0, 4, 6, 3, 6, 4, 0],
]
tiled = [
[0, 0, 1, 0, 2, 0, 0],
[0, 0, 1, 0, 2, 0, 0],
[0, 0, 1, 0, 2, 0, 0]
]
agents = [
Agent(1, 1, 2, 0),
Agent(1, 2, 2, 1),
Agent(1, 3, 2, 2),
Agent(2, 4, 4, 0),
Agent(2, 5, 4, 1),
Agent(2, 6, 4, 2),
]
board = Board(width, height, points, tiled)
simulator = Game(board, agents)
# 1
simulator.set_action(1, 1, 1, 0)
simulator.set_action(1, 2, 1, 0)
simulator.set_action(1, 3, -1, 0)
simulator.set_action(2, 4, 1, 0)
simulator.set_action(2, 5, -1, 0)
simulator.set_action(2, 6, -1, 0)
simulator.step()
true_score = {
1: {
"tilePoint": 14,
"areaPoint": 0
},
2: {
"tilePoint": 12,
"areaPoint": 0
}
}
assert(simulator.cal_score([1, 2]) == true_score)
assert(simulator.turn == 1)
def flow_test_1():
width = 5
height = 5
points = [
[2, 1, 0, 1, 2],
[4, 5, 3, 5, 4],
[1, 1, 2, 1, 1],
[4, 5, 3, 5, 4],
[2, 1, 0, 1, 2]
]
tiled = [
[0, 1, 0, 2, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 2, 0, 1, 0]
]
agents = [
Agent(1, 1, 1, 0),
Agent(1, 2, 3, 4),
Agent(2, 3, 3, 0),
Agent(2, 4, 1, 4)
]
board = Board(width, height, points, tiled)
simulator = Game(board, agents)
simulator.set_action(1, 1, 0, 1)
simulator.set_action(1, 2, -1, 0)
simulator.set_action(2, 3, 1, 0)
simulator.set_action(2, 4, 0, -1)
simulator.step()
true_score = {
1: {
"tilePoint": 7,
"areaPoint": 0
},
2: {
"tilePoint": 9,
"areaPoint": 0
}
}
assert(simulator.cal_score([1, 2]) == true_score)
assert(simulator.turn == 1)