log 优化，公招限时，maa导航新增timout

arknights_mower/solvers/base_schedule.py

@@ -836,8 +836,7 @@ def agent_get_mood(self, skip_dorm=False, force=False):
         need_read = set(
             v.room
             for k, v in self.op_data.operators.items()
-            if v.need_to_refresh(0.5 if k in ["歌蕾蒂娅", "见行者"] else 2)
-            and v.room in base_room_list
+            if v.need_to_refresh() and v.room in base_room_list
         )
         for room in need_read:
             error_count = 0
@@ -3268,7 +3267,7 @@ def initialize_maa(self):
             )
             ota_tasks_path = path / "cache" / "resource" / "tasks.json"
             ota_tasks_path.parent.mkdir(parents=True, exist_ok=True)
-            with urllib.request.urlopen(ota_tasks_url) as u:
+            with urllib.request.urlopen(ota_tasks_url, timeout=60) as u:
                 res = u.read().decode("utf-8")
             with open(ota_tasks_path, "w", encoding="utf-8") as f:
                 f.write(res)

arknights_mower/utils/operators.py

@@ -422,11 +422,18 @@ def update_detail(self, name, mood, current_room, current_index, update_time=Fal
         agent = self.operators[name]
         if update_time:
             if agent.time_stamp is not None and agent.mood > mood:
-                agent.depletion_rate = (
-                    (agent.mood - mood)
-                    * 3600
-                    / ((datetime.now() - agent.time_stamp).total_seconds())
-                )
+                time_difference = datetime.now() - agent.time_stamp
+                if time_difference > timedelta(minutes=29):
+                    logger.debug("开始计算心情掉率")
+                    logger.debug(
+                        f"当前心情：{mood},上次{agent.mood},上次时间{agent.time_stamp}"
+                    )
+                    agent.depletion_rate = (
+                        (agent.mood - mood) * 3600 / time_difference.total_seconds()
+                    )
+                    logger.debug(
+                        f"更新 {agent.name} 心情掉率为：{agent.depletion_rate}"
+                    )
             agent.time_stamp = datetime.now()
         # 如果移出宿舍，则清除对应宿舍数据 且重新记录高效组心情（如果有备用班，则跳过高效组判定）
         if (
@@ -751,6 +758,8 @@ def is_working(self):
 
     def need_to_refresh(self, h=2, r=""):
         # 是否需要读取心情
+        if self.name in ["歌蕾蒂娅", "见行者"]:
+            h = 0.5
         if (
             self.time_stamp is None
             or (

arknights_mower/utils/solver.py

@@ -78,8 +78,17 @@ def run(self) -> None:
         self.check_current_focus()
         retry_times = config.MAX_RETRYTIME
         result = None
+        start_time = datetime.now()
+        recruit_timeout_limit = 300  # 获取超时限制 300s
+        from arknights_mower.solvers.recruit import RecruitSolver
+
         while retry_times > 0:
             try:
+                if isinstance(self, RecruitSolver):
+                    if datetime.now() - start_time > timedelta(
+                        seconds=recruit_timeout_limit
+                    ):
+                        raise Exception("任务超时,强制停止")
                 result = self.transition()
                 if result:
                     return result