mirror of
https://github.com/deepmodeling/Uni-Lab-OS
synced 2026-05-23 04:50:01 +00:00
Merge branch 'dev' into feat/3d_layout_and_visualize
This commit is contained in:
@@ -80,19 +80,20 @@ class HTTPClient:
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f.write(json.dumps(payload, indent=4))
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# 从序列化数据中提取所有节点的UUID(保存旧UUID)
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old_uuids = {n.res_content.uuid: n for n in resources.all_nodes}
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nodes_info = [x for xs in resources.dump() for x in xs]
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if not self.initialized or first_add:
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self.initialized = True
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info(f"首次添加资源,当前远程地址: {self.remote_addr}")
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response = requests.post(
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f"{self.remote_addr}/edge/material",
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json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
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json={"nodes": nodes_info, "mount_uuid": mount_uuid},
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headers={"Authorization": f"Lab {self.auth}"},
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timeout=60,
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)
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else:
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response = requests.put(
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f"{self.remote_addr}/edge/material",
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json={"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid},
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json={"nodes": nodes_info, "mount_uuid": mount_uuid},
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headers={"Authorization": f"Lab {self.auth}"},
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timeout=10,
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)
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@@ -111,6 +112,7 @@ class HTTPClient:
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uuid_mapping[i["uuid"]] = i["cloud_uuid"]
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else:
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logger.error(f"添加物料失败: {response.text}")
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logger.trace(f"添加物料失败: {nodes_info}")
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for u, n in old_uuids.items():
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if u in uuid_mapping:
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n.res_content.uuid = uuid_mapping[u]
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@@ -1113,7 +1113,7 @@ class MessageProcessor:
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"task_id": task_id,
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"job_id": job_id,
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"free": free,
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"need_more": need_more,
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"need_more": need_more + 1,
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},
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}
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@@ -1253,7 +1253,7 @@ class QueueProcessor:
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"task_id": job_info.task_id,
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"job_id": job_info.job_id,
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"free": False,
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"need_more": 10,
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"need_more": 10 + 1,
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},
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}
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self.message_processor.send_message(message)
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@@ -1286,7 +1286,7 @@ class QueueProcessor:
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"task_id": job_info.task_id,
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"job_id": job_info.job_id,
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"free": False,
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"need_more": 10,
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"need_more": 10 + 1,
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},
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}
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success = self.message_processor.send_message(message)
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@@ -1369,6 +1369,10 @@ class WebSocketClient(BaseCommunicationClient):
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self.message_processor = MessageProcessor(self.websocket_url, self.send_queue, self.device_manager)
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self.queue_processor = QueueProcessor(self.device_manager, self.message_processor)
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# running状态debounce缓存: {job_id: (last_send_timestamp, last_feedback_data)}
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self._job_running_last_sent: Dict[str, tuple] = {}
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self._job_running_debounce_interval: float = 10.0 # 秒
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# 设置相互引用
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self.message_processor.set_queue_processor(self.queue_processor)
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self.message_processor.set_websocket_client(self)
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@@ -1468,22 +1472,32 @@ class WebSocketClient(BaseCommunicationClient):
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logger.debug(f"[WebSocketClient] Not connected, cannot publish job status for job_id: {item.job_id}")
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return
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job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
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# 拦截最终结果状态,与原版本逻辑一致
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if status in ["success", "failed"]:
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self._job_running_last_sent.pop(item.job_id, None)
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host_node = HostNode.get_instance(0)
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if host_node:
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# 从HostNode的device_action_status中移除job_id
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try:
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host_node._device_action_status[item.device_action_key].job_ids.pop(item.job_id, None)
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except (KeyError, AttributeError):
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logger.warning(f"[WebSocketClient] Failed to remove job {item.job_id} from HostNode status")
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# logger.debug(f"[WebSocketClient] Intercepting final status for job_id: {item.job_id} - {status}")
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# 通知队列处理器job完成(包括timeout的job)
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self.queue_processor.handle_job_completed(item.job_id, status)
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# 发送job状态消息
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# running状态按job_id做debounce,内容变化时仍然上报
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if status == "running":
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now = time.time()
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cached = self._job_running_last_sent.get(item.job_id)
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if cached is not None:
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last_ts, last_data = cached
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if now - last_ts < self._job_running_debounce_interval and last_data == feedback_data:
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logger.trace(f"[WebSocketClient] Job status debounced (skip): {job_log} - {status}")
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return
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self._job_running_last_sent[item.job_id] = (now, feedback_data)
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message = {
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"action": "job_status",
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"data": {
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@@ -1499,7 +1513,6 @@ class WebSocketClient(BaseCommunicationClient):
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}
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self.message_processor.send_message(message)
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job_log = format_job_log(item.job_id, item.task_id, item.device_id, item.action_name)
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logger.trace(f"[WebSocketClient] Job status published: {job_log} - {status}")
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def send_ping(self, ping_id: str, timestamp: float) -> None:
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@@ -1,4 +1,5 @@
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import json
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import os
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# from nt import device_encoding
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import threading
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@@ -61,7 +62,7 @@ def main(
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rclpy.init(args=rclpy_init_args)
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else:
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logger.info("[ROS] rclpy already initialized, reusing context")
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executor = rclpy.__executor = MultiThreadedExecutor()
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executor = rclpy.__executor = MultiThreadedExecutor(num_threads=max(os.cpu_count() * 4, 48))
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# 创建主机节点
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host_node = HostNode(
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"host_node",
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@@ -122,7 +123,7 @@ def slave(
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rclpy.init(args=rclpy_init_args)
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executor = rclpy.__executor
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if not executor:
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executor = rclpy.__executor = MultiThreadedExecutor()
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executor = rclpy.__executor = MultiThreadedExecutor(num_threads=max(os.cpu_count() * 4, 48))
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# 1.5 启动 executor 线程
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thread = threading.Thread(target=executor.spin, daemon=True, name="slave_executor_thread")
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@@ -486,18 +486,12 @@ class BaseROS2DeviceNode(Node, Generic[T]):
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if len(rts.root_nodes) == 1 and parent_resource is not None:
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plr_instance = plr_instances[0]
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if isinstance(plr_instance, Plate):
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empty_liquid_info_in: List[Tuple[Optional[str], float]] = [(None, 0)] * plr_instance.num_items
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if len(ADD_LIQUID_TYPE) == 1 and len(LIQUID_VOLUME) == 1 and len(LIQUID_INPUT_SLOT) > 1:
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ADD_LIQUID_TYPE = ADD_LIQUID_TYPE * len(LIQUID_INPUT_SLOT)
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LIQUID_VOLUME = LIQUID_VOLUME * len(LIQUID_INPUT_SLOT)
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self.lab_logger().warning(
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f"增加液体资源时,数量为1,自动补全为 {len(LIQUID_INPUT_SLOT)} 个"
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)
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for liquid_type, liquid_volume, liquid_input_slot in zip(
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ADD_LIQUID_TYPE, LIQUID_VOLUME, LIQUID_INPUT_SLOT
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):
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empty_liquid_info_in[liquid_input_slot] = (liquid_type, liquid_volume)
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plr_instance.set_well_liquids(empty_liquid_info_in)
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try:
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# noinspection PyProtectedMember
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keys = list(plr_instance._ordering.keys())
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@@ -511,6 +505,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
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input_wells = []
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for r in LIQUID_INPUT_SLOT:
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input_wells.append(plr_instance.children[r])
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for input_well, liquid_type, liquid_volume, liquid_input_slot in zip(
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input_wells, ADD_LIQUID_TYPE, LIQUID_VOLUME, LIQUID_INPUT_SLOT
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):
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input_well.set_liquids([(liquid_type, liquid_volume, "uL")])
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final_response["liquid_input_resource_tree"] = ResourceTreeSet.from_plr_resources(
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input_wells
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).dump()
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@@ -1256,9 +1254,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
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return self._lab_logger
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def create_ros_publisher(self, attr_name, msg_type, initial_period=5.0):
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"""创建ROS发布者,仅当方法/属性有 @topic_config 装饰器时才创建。"""
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# 检测 @topic_config 装饰器配置
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topic_config = {}
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"""创建ROS发布者。已在 status_types 中声明的属性直接创建;@topic_config 用于覆盖默认参数。"""
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topic_cfg = {}
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driver_class = type(self.driver_instance)
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# 区分 @property 和普通方法两种情况
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@@ -1267,23 +1264,17 @@ class BaseROS2DeviceNode(Node, Generic[T]):
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)
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if is_prop:
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# @property: 检测 fget 上的 @topic_config
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class_attr = getattr(driver_class, attr_name)
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if class_attr.fget is not None:
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topic_config = get_topic_config(class_attr.fget)
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topic_cfg = get_topic_config(class_attr.fget)
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else:
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# 普通方法: 直接检测 attr_name 方法上的 @topic_config
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if hasattr(self.driver_instance, attr_name):
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method = getattr(self.driver_instance, attr_name)
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if callable(method):
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topic_config = get_topic_config(method)
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# 没有 @topic_config 装饰器则跳过发布
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if not topic_config:
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return
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topic_cfg = get_topic_config(method)
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# 发布名称优先级: @topic_config(name=...) > get_ 前缀去除 > attr_name
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cfg_name = topic_config.get("name")
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cfg_name = topic_cfg.get("name")
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if cfg_name:
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publish_name = cfg_name
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elif attr_name.startswith("get_"):
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@@ -1291,10 +1282,10 @@ class BaseROS2DeviceNode(Node, Generic[T]):
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else:
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publish_name = attr_name
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# 使用装饰器配置或默认值
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cfg_period = topic_config.get("period")
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cfg_print = topic_config.get("print_publish")
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cfg_qos = topic_config.get("qos")
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# @topic_config 参数覆盖默认值
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cfg_period = topic_cfg.get("period")
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cfg_print = topic_cfg.get("print_publish")
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cfg_qos = topic_cfg.get("qos")
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period: float = cfg_period if cfg_period is not None else initial_period
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print_publish: bool = cfg_print if cfg_print is not None else self._print_publish
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qos: int = cfg_qos if cfg_qos is not None else 10
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@@ -1632,6 +1632,7 @@ class HostNode(BaseROS2DeviceNode):
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def manual_confirm(self, timeout_seconds: int, assignee_user_ids: list[str], **kwargs) -> dict:
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"""
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timeout_seconds: 超时时间(秒),默认3600秒
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修改的结果无效,是只读的
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"""
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return kwargs
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@@ -346,7 +346,7 @@ def refactor_data(
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"template_name": template_name,
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"resource_name": resource_name,
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"description": step.get("description", step.get("purpose", f"{operation} operation")),
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"lab_node_type": "Device",
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"lab_node_type": "ILab",
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"param": step.get("parameters", step.get("action_args", {})),
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"footer": f"{template_name}-{resource_name}",
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}
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