v0.10.18

fix possible crash

fix deck & host_node

set liquid with tube

add test_resource_schema

fix test resource schema

registry update & workflow update

add test mode

support description & tags upload

fix config load

fix log

add registry name & add always free

correct config organic synthesis

Adapt to new scheduler, sampels, and edge upload format (#230)

* add sample_material

* adapt to new samples sys

* fix pump transfer. fix resource update when protocol & ros callback

* Adapt to new scheduler.

Feat/samples (#229)

* add sample_material

* adapt to new samples sys

adapt to new samples sys

adapt to new edge format

workflow upload & prcxi transfer liquid

lh liquid

speed up registry load

workflow upload & set liquid fix & add set liquid with plate

fix upload workflow json

.conda/base/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos
-  version: 0.10.17
+  version: 0.10.18
 
 source:
   path: ../../unilabos
@@ -46,13 +46,15 @@ requirements:
   - jinja2
   - requests
   - uvicorn
-  - opcua # [not osx]
+  - if: not osx
+    then:
+    - opcua
   - pyserial
   - pandas
   - pymodbus
   - matplotlib
   - pylibftdi
-  - uni-lab::unilabos-env ==0.10.17
+  - uni-lab::unilabos-env ==0.10.18
 
 about:
   repository: https://github.com/deepmodeling/Uni-Lab-OS

.conda/environment/recipe.yaml

@@ -2,7 +2,7 @@
 
 package:
   name: unilabos-env
-  version: 0.10.17
+  version: 0.10.18
 
 build:
   noarch: generic

.conda/full/recipe.yaml

@@ -3,7 +3,7 @@
 
 package:
   name: unilabos-full
-  version: 0.10.17
+  version: 0.10.18
 
 build:
   noarch: generic
@@ -11,7 +11,7 @@ build:
 requirements:
   run:
   # Base unilabos package (includes unilabos-env)
-  - uni-lab::unilabos ==0.10.17
+  - uni-lab::unilabos ==0.10.18
   # Documentation tools
   - sphinx
   - sphinx_rtd_theme

recipes/msgs/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: ros-humble-unilabos-msgs
-  version: 0.10.17
+  version: 0.10.18
 source:
   path: ../../unilabos_msgs
   target_directory: src

recipes/unilabos/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: unilabos
-  version: "0.10.17"
+  version: "0.10.18"
 
 source:
   path: ../..

scripts/workflow.py

@@ -2,6 +2,7 @@ import json
 import logging
 import traceback
 import uuid
+import xml.etree.ElementTree as ET
 from typing import Any, Dict, List
 
 import networkx as nx
@@ -24,15 +25,7 @@ class SimpleGraph:
 
     def add_edge(self, source, target, **attrs):
         """添加边"""
-        # edge = {"source": source, "target": target, **attrs}
-        edge = {
-            "source": source, "target": target,
-            "source_node_uuid": source,
-            "target_node_uuid": target,
-            "source_handle_io": "source",
-            "target_handle_io": "target",
-            **attrs
-        }
+        edge = {"source": source, "target": target, **attrs}
         self.edges.append(edge)
 
     def to_dict(self):
@@ -49,7 +42,6 @@ class SimpleGraph:
             "multigraph": False,
             "graph": {},
             "nodes": nodes_list,
-            "edges": self.edges,
             "links": self.edges,
         }
 
@@ -66,8 +58,495 @@ def extract_json_from_markdown(text: str) -> str:
     return text
 
 
+def convert_to_type(val: str) -> Any:
+    """将字符串值转换为适当的数据类型"""
+    if val == "True":
+        return True
+    if val == "False":
+        return False
+    if val == "?":
+        return None
+    if val.endswith(" g"):
+        return float(val.split(" ")[0])
+    if val.endswith("mg"):
+        return float(val.split("mg")[0])
+    elif val.endswith("mmol"):
+        return float(val.split("mmol")[0]) / 1000
+    elif val.endswith("mol"):
+        return float(val.split("mol")[0])
+    elif val.endswith("ml"):
+        return float(val.split("ml")[0])
+    elif val.endswith("RPM"):
+        return float(val.split("RPM")[0])
+    elif val.endswith(" °C"):
+        return float(val.split(" ")[0])
+    elif val.endswith(" %"):
+        return float(val.split(" ")[0])
+    return val
 
 
+def refactor_data(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+    """统一的数据重构函数，根据操作类型自动选择模板"""
+    refactored_data = []
+
+    # 定义操作映射，包含生物实验和有机化学的所有操作
+    OPERATION_MAPPING = {
+        # 生物实验操作
+        "transfer_liquid": "SynBioFactory-liquid_handler.prcxi-transfer_liquid",
+        "transfer": "SynBioFactory-liquid_handler.biomek-transfer",
+        "incubation": "SynBioFactory-liquid_handler.biomek-incubation",
+        "move_labware": "SynBioFactory-liquid_handler.biomek-move_labware",
+        "oscillation": "SynBioFactory-liquid_handler.biomek-oscillation",
+        # 有机化学操作
+        "HeatChillToTemp": "SynBioFactory-workstation-HeatChillProtocol",
+        "StopHeatChill": "SynBioFactory-workstation-HeatChillStopProtocol",
+        "StartHeatChill": "SynBioFactory-workstation-HeatChillStartProtocol",
+        "HeatChill": "SynBioFactory-workstation-HeatChillProtocol",
+        "Dissolve": "SynBioFactory-workstation-DissolveProtocol",
+        "Transfer": "SynBioFactory-workstation-TransferProtocol",
+        "Evaporate": "SynBioFactory-workstation-EvaporateProtocol",
+        "Recrystallize": "SynBioFactory-workstation-RecrystallizeProtocol",
+        "Filter": "SynBioFactory-workstation-FilterProtocol",
+        "Dry": "SynBioFactory-workstation-DryProtocol",
+        "Add": "SynBioFactory-workstation-AddProtocol",
+    }
+
+    UNSUPPORTED_OPERATIONS = ["Purge", "Wait", "Stir", "ResetHandling"]
+
+    for step in data:
+        operation = step.get("action")
+        if not operation or operation in UNSUPPORTED_OPERATIONS:
+            continue
+
+        # 处理重复操作
+        if operation == "Repeat":
+            times = step.get("times", step.get("parameters", {}).get("times", 1))
+            sub_steps = step.get("steps", step.get("parameters", {}).get("steps", []))
+            for i in range(int(times)):
+                sub_data = refactor_data(sub_steps)
+                refactored_data.extend(sub_data)
+            continue
+
+        # 获取模板名称
+        template = OPERATION_MAPPING.get(operation)
+        if not template:
+            # 自动推断模板类型
+            if operation.lower() in ["transfer", "incubation", "move_labware", "oscillation"]:
+                template = f"SynBioFactory-liquid_handler.biomek-{operation}"
+            else:
+                template = f"SynBioFactory-workstation-{operation}Protocol"
+
+        # 创建步骤数据
+        step_data = {
+            "template": template,
+            "description": step.get("description", step.get("purpose", f"{operation} operation")),
+            "lab_node_type": "Device",
+            "parameters": step.get("parameters", step.get("action_args", {})),
+        }
+        refactored_data.append(step_data)
+
+    return refactored_data
+
+
+def build_protocol_graph(
+    labware_info: List[Dict[str, Any]], protocol_steps: List[Dict[str, Any]], workstation_name: str
+) -> SimpleGraph:
+    """统一的协议图构建函数，根据设备类型自动选择构建逻辑"""
+    G = SimpleGraph()
+    resource_last_writer = {}
+    LAB_NAME = "SynBioFactory"
+
+    protocol_steps = refactor_data(protocol_steps)
+
+    # 检查协议步骤中的模板来判断协议类型
+    has_biomek_template = any(
+        ("biomek" in step.get("template", "")) or ("prcxi" in step.get("template", ""))
+        for step in protocol_steps
+    )
+
+    if has_biomek_template:
+        # 生物实验协议图构建
+        for labware_id, labware in labware_info.items():
+            node_id = str(uuid.uuid4())
+
+            labware_attrs = labware.copy()
+            labware_id = labware_attrs.pop("id", labware_attrs.get("name", f"labware_{uuid.uuid4()}"))
+            labware_attrs["description"] = labware_id
+            labware_attrs["lab_node_type"] = (
+                "Reagent" if "Plate" in str(labware_id) else "Labware" if "Rack" in str(labware_id) else "Sample"
+            )
+            labware_attrs["device_id"] = workstation_name
+
+            G.add_node(node_id, template=f"{LAB_NAME}-host_node-create_resource", **labware_attrs)
+            resource_last_writer[labware_id] = f"{node_id}:labware"
+
+        # 处理协议步骤
+        prev_node = None
+        for i, step in enumerate(protocol_steps):
+            node_id = str(uuid.uuid4())
+            G.add_node(node_id, **step)
+
+            # 添加控制流边
+            if prev_node is not None:
+                G.add_edge(prev_node, node_id, source_port="ready", target_port="ready")
+            prev_node = node_id
+
+            # 处理物料流
+            params = step.get("parameters", {})
+            if "sources" in params and params["sources"] in resource_last_writer:
+                source_node, source_port = resource_last_writer[params["sources"]].split(":")
+                G.add_edge(source_node, node_id, source_port=source_port, target_port="labware")
+
+            if "targets" in params:
+                resource_last_writer[params["targets"]] = f"{node_id}:labware"
+
+        # 添加协议结束节点
+        end_id = str(uuid.uuid4())
+        G.add_node(end_id, template=f"{LAB_NAME}-liquid_handler.biomek-run_protocol")
+        if prev_node is not None:
+            G.add_edge(prev_node, end_id, source_port="ready", target_port="ready")
+
+    else:
+        # 有机化学协议图构建
+        WORKSTATION_ID = workstation_name
+
+        # 为所有labware创建资源节点
+        for item_id, item in labware_info.items():
+            # item_id = item.get("id") or item.get("name", f"item_{uuid.uuid4()}")
+            node_id = str(uuid.uuid4())
+
+            # 判断节点类型
+            if item.get("type") == "hardware" or "reactor" in str(item_id).lower():
+                if "reactor" not in str(item_id).lower():
+                    continue
+                lab_node_type = "Sample"
+                description = f"Prepare Reactor: {item_id}"
+                liquid_type = []
+                liquid_volume = []
+            else:
+                lab_node_type = "Reagent"
+                description = f"Add Reagent to Flask: {item_id}"
+                liquid_type = [item_id]
+                liquid_volume = [1e5]
+
+            G.add_node(
+                node_id,
+                template=f"{LAB_NAME}-host_node-create_resource",
+                description=description,
+                lab_node_type=lab_node_type,
+                res_id=item_id,
+                device_id=WORKSTATION_ID,
+                class_name="container",
+                parent=WORKSTATION_ID,
+                bind_locations={"x": 0.0, "y": 0.0, "z": 0.0},
+                liquid_input_slot=[-1],
+                liquid_type=liquid_type,
+                liquid_volume=liquid_volume,
+                slot_on_deck="",
+                role=item.get("role", ""),
+            )
+            resource_last_writer[item_id] = f"{node_id}:labware"
+
+        last_control_node_id = None
+
+        # 处理协议步骤
+        for step in protocol_steps:
+            node_id = str(uuid.uuid4())
+            G.add_node(node_id, **step)
+
+            # 控制流
+            if last_control_node_id is not None:
+                G.add_edge(last_control_node_id, node_id, source_port="ready", target_port="ready")
+            last_control_node_id = node_id
+
+            # 物料流
+            params = step.get("parameters", {})
+            input_resources = {
+                "Vessel": params.get("vessel"),
+                "ToVessel": params.get("to_vessel"),
+                "FromVessel": params.get("from_vessel"),
+                "reagent": params.get("reagent"),
+                "solvent": params.get("solvent"),
+                "compound": params.get("compound"),
+                "sources": params.get("sources"),
+                "targets": params.get("targets"),
+            }
+
+            for target_port, resource_name in input_resources.items():
+                if resource_name and resource_name in resource_last_writer:
+                    source_node, source_port = resource_last_writer[resource_name].split(":")
+                    G.add_edge(source_node, node_id, source_port=source_port, target_port=target_port)
+
+            output_resources = {
+                "VesselOut": params.get("vessel"),
+                "FromVesselOut": params.get("from_vessel"),
+                "ToVesselOut": params.get("to_vessel"),
+                "FiltrateOut": params.get("filtrate_vessel"),
+                "reagent": params.get("reagent"),
+                "solvent": params.get("solvent"),
+                "compound": params.get("compound"),
+                "sources_out": params.get("sources"),
+                "targets_out": params.get("targets"),
+            }
+
+            for source_port, resource_name in output_resources.items():
+                if resource_name:
+                    resource_last_writer[resource_name] = f"{node_id}:{source_port}"
+
+    return G
+
+
+def draw_protocol_graph(protocol_graph: SimpleGraph, output_path: str):
+    """
+    (辅助功能) 使用 networkx 和 matplotlib 绘制协议工作流图，用于可视化。
+    """
+    if not protocol_graph:
+        print("Cannot draw graph: Graph object is empty.")
+        return
+
+    G = nx.DiGraph()
+
+    for node_id, attrs in protocol_graph.nodes.items():
+        label = attrs.get("description", attrs.get("template", node_id[:8]))
+        G.add_node(node_id, label=label, **attrs)
+
+    for edge in protocol_graph.edges:
+        G.add_edge(edge["source"], edge["target"])
+
+    plt.figure(figsize=(20, 15))
+    try:
+        pos = nx.nx_agraph.graphviz_layout(G, prog="dot")
+    except Exception:
+        pos = nx.shell_layout(G)  # Fallback layout
+
+    node_labels = {node: data["label"] for node, data in G.nodes(data=True)}
+    nx.draw(
+        G,
+        pos,
+        with_labels=False,
+        node_size=2500,
+        node_color="skyblue",
+        node_shape="o",
+        edge_color="gray",
+        width=1.5,
+        arrowsize=15,
+    )
+    nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=8, font_weight="bold")
+
+    plt.title("Chemical Protocol Workflow Graph", size=15)
+    plt.savefig(output_path, dpi=300, bbox_inches="tight")
+    plt.close()
+    print(f"  - Visualization saved to '{output_path}'")
+
+
+from networkx.drawing.nx_agraph import to_agraph
+import re
+
+COMPASS = {"n","e","s","w","ne","nw","se","sw","c"}
+
+def _is_compass(port: str) -> bool:
+    return isinstance(port, str) and port.lower() in COMPASS
+
+def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: str = "LR"):
+    """
+    使用 Graphviz 端口语法绘制协议工作流图。
+    - 若边上的 source_port/target_port 是 compass（n/e/s/w/...），直接用 compass。
+    - 否则自动为节点创建 record 形状并定义命名端口 <portname>。
+    最终由 PyGraphviz 渲染并输出到 output_path（后缀决定格式，如 .png/.svg/.pdf）。
+    """
+    if not protocol_graph:
+        print("Cannot draw graph: Graph object is empty.")
+        return
+
+    # 1) 先用 networkx 搭建有向图，保留端口属性
+    G = nx.DiGraph()
+    for node_id, attrs in protocol_graph.nodes.items():
+        label = attrs.get("description", attrs.get("template", node_id[:8]))
+        # 保留一个干净的“中心标签”，用于放在 record 的中间槽
+        G.add_node(node_id, _core_label=str(label), **{k:v for k,v in attrs.items() if k not in ("label",)})
+
+    edges_data = []
+    in_ports_by_node  = {}  # 收集命名输入端口
+    out_ports_by_node = {}  # 收集命名输出端口
+
+    for edge in protocol_graph.edges:
+        u = edge["source"]
+        v = edge["target"]
+        sp = edge.get("source_port")
+        tp = edge.get("target_port")
+
+        # 记录到图里（保留原始端口信息）
+        G.add_edge(u, v, source_port=sp, target_port=tp)
+        edges_data.append((u, v, sp, tp))
+
+        # 如果不是 compass，就按“命名端口”先归类，等会儿给节点造 record
+        if sp and not _is_compass(sp):
+            out_ports_by_node.setdefault(u, set()).add(str(sp))
+        if tp and not _is_compass(tp):
+            in_ports_by_node.setdefault(v, set()).add(str(tp))
+
+    # 2) 转为 AGraph，使用 Graphviz 渲染
+    A = to_agraph(G)
+    A.graph_attr.update(rankdir=rankdir, splines="true", concentrate="false", fontsize="10")
+    A.node_attr.update(shape="box", style="rounded,filled", fillcolor="lightyellow", color="#999999", fontname="Helvetica")
+    A.edge_attr.update(arrowsize="0.8", color="#666666")
+
+    # 3) 为需要命名端口的节点设置 record 形状与 label
+    #    左列 = 输入端口；中间 = 核心标签；右列 = 输出端口
+    for n in A.nodes():
+        node = A.get_node(n)
+        core = G.nodes[n].get("_core_label", n)
+
+        in_ports  = sorted(in_ports_by_node.get(n, []))
+        out_ports = sorted(out_ports_by_node.get(n, []))
+
+        # 如果该节点涉及命名端口，则用 record；否则保留原 box
+        if in_ports or out_ports:
+            def port_fields(ports):
+                if not ports:
+                    return " "  # 必须留一个空槽占位
+                # 每个端口一个小格子，<p> name
+                return "|".join(f"<{re.sub(r'[^A-Za-z0-9_:.|-]', '_', p)}> {p}" for p in ports)
+
+            left  = port_fields(in_ports)
+            right = port_fields(out_ports)
+
+            # 三栏：左(入) | 中(节点名) | 右(出)
+            record_label = f"{{ {left} | {core} | {right} }}"
+            node.attr.update(shape="record", label=record_label)
+        else:
+            # 没有命名端口：普通盒子，显示核心标签
+            node.attr.update(label=str(core))
+
+    # 4) 给边设置 headport / tailport
+    #    - 若端口为 compass：直接用 compass（e.g., headport="e"）
+    #    - 若端口为命名端口：使用在 record 中定义的 <port> 名（同名即可）
+    for (u, v, sp, tp) in edges_data:
+        e = A.get_edge(u, v)
+
+        # Graphviz 属性：tail 是源，head 是目标
+        if sp:
+            if _is_compass(sp):
+                e.attr["tailport"] = sp.lower()
+            else:
+                # 与 record label 中 <port> 名一致；特殊字符已在 label 中做了清洗
+                e.attr["tailport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(sp))
+
+        if tp:
+            if _is_compass(tp):
+                e.attr["headport"] = tp.lower()
+            else:
+                e.attr["headport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(tp))
+
+        # 可选：若想让边更贴边缘，可设置 constraint/spline 等
+        # e.attr["arrowhead"] = "vee"
+
+    # 5) 输出
+    A.draw(output_path, prog="dot")
+    print(f"  - Port-aware workflow rendered to '{output_path}'")
+
+
+def flatten_xdl_procedure(procedure_elem: ET.Element) -> List[ET.Element]:
+    """展平嵌套的XDL程序结构"""
+    flattened_operations = []
+    TEMP_UNSUPPORTED_PROTOCOL = ["Purge", "Wait", "Stir", "ResetHandling"]
+
+    def extract_operations(element: ET.Element):
+        if element.tag not in ["Prep", "Reaction", "Workup", "Purification", "Procedure"]:
+            if element.tag not in TEMP_UNSUPPORTED_PROTOCOL:
+                flattened_operations.append(element)
+
+        for child in element:
+            extract_operations(child)
+
+    for child in procedure_elem:
+        extract_operations(child)
+
+    return flattened_operations
+
+
+def parse_xdl_content(xdl_content: str) -> tuple:
+    """解析XDL内容"""
+    try:
+        xdl_content_cleaned = "".join(c for c in xdl_content if c.isprintable())
+        root = ET.fromstring(xdl_content_cleaned)
+
+        synthesis_elem = root.find("Synthesis")
+        if synthesis_elem is None:
+            return None, None, None
+
+        # 解析硬件组件
+        hardware_elem = synthesis_elem.find("Hardware")
+        hardware = []
+        if hardware_elem is not None:
+            hardware = [{"id": c.get("id"), "type": c.get("type")} for c in hardware_elem.findall("Component")]
+
+        # 解析试剂
+        reagents_elem = synthesis_elem.find("Reagents")
+        reagents = []
+        if reagents_elem is not None:
+            reagents = [{"name": r.get("name"), "role": r.get("role", "")} for r in reagents_elem.findall("Reagent")]
+
+        # 解析程序
+        procedure_elem = synthesis_elem.find("Procedure")
+        if procedure_elem is None:
+            return None, None, None
+
+        flattened_operations = flatten_xdl_procedure(procedure_elem)
+        return hardware, reagents, flattened_operations
+
+    except ET.ParseError as e:
+        raise ValueError(f"Invalid XDL format: {e}")
+
+
+def convert_xdl_to_dict(xdl_content: str) -> Dict[str, Any]:
+    """
+    将XDL XML格式转换为标准的字典格式
+
+    Args:
+        xdl_content: XDL XML内容
+
+    Returns:
+        转换结果，包含步骤和器材信息
+    """
+    try:
+        hardware, reagents, flattened_operations = parse_xdl_content(xdl_content)
+        if hardware is None:
+            return {"error": "Failed to parse XDL content", "success": False}
+
+        # 将XDL元素转换为字典格式
+        steps_data = []
+        for elem in flattened_operations:
+            # 转换参数类型
+            parameters = {}
+            for key, val in elem.attrib.items():
+                converted_val = convert_to_type(val)
+                if converted_val is not None:
+                    parameters[key] = converted_val
+
+            step_dict = {
+                "operation": elem.tag,
+                "parameters": parameters,
+                "description": elem.get("purpose", f"Operation: {elem.tag}"),
+            }
+            steps_data.append(step_dict)
+
+        # 合并硬件和试剂为统一的labware_info格式
+        labware_data = []
+        labware_data.extend({"id": hw["id"], "type": "hardware", **hw} for hw in hardware)
+        labware_data.extend({"name": reagent["name"], "type": "reagent", **reagent} for reagent in reagents)
+
+        return {
+            "success": True,
+            "steps": steps_data,
+            "labware": labware_data,
+            "message": f"Successfully converted XDL to dict format. Found {len(steps_data)} steps and {len(labware_data)} labware items.",
+        }
+
+    except Exception as e:
+        error_msg = f"XDL conversion failed: {str(e)}"
+        logger.error(error_msg)
+        return {"error": error_msg, "success": False}
 
 
 def create_workflow(

setup.py

@@ -4,7 +4,7 @@ package_name = 'unilabos'
 
 setup(
     name=package_name,
-    version='0.10.17',
+    version='0.10.18',
     packages=find_packages(),
     include_package_data=True,
     install_requires=['setuptools'],

unilabos/__init__.py

@@ -1 +1 @@
-__version__ = "0.10.17"
+__version__ = "0.10.18"

unilabos/app/main.py

@@ -171,6 +171,12 @@ def parse_args():
         action="store_true",
         help="Disable sending update feedback to server",
     )
+    parser.add_argument(
+        "--test_mode",
+        action="store_true",
+        default=False,
+        help="Test mode: all actions simulate execution and return mock results without running real hardware",
+    )
     # workflow upload subcommand
     workflow_parser = subparsers.add_parser(
         "workflow_upload",
@@ -204,6 +210,12 @@ def parse_args():
         default=False,
         help="Whether to publish the workflow (default: False)",
     )
+    workflow_parser.add_argument(
+        "--description",
+        type=str,
+        default="",
+        help="Workflow description, used when publishing the workflow",
+    )
     return parser
 
 
@@ -231,52 +243,60 @@ def main():
     # 加载配置文件，优先加载config，然后从env读取
     config_path = args_dict.get("config")
 
-    if check_mode:
-        args_dict["working_dir"] = os.path.abspath(os.getcwd())
-    # 当 skip_env_check 时，默认使用当前目录作为 working_dir
-    if skip_env_check and not args_dict.get("working_dir") and not config_path:
+    # === 解析 working_dir ===
+    # 规则1: working_dir 传入 → 检测 unilabos_data 子目录，已是则不修改
+    # 规则2: 仅 config_path 传入 → 用其父目录作为 working_dir
+    # 规则4: 两者都传入 → 各用各的，但 working_dir 仍做 unilabos_data 子目录检测
+    raw_working_dir = args_dict.get("working_dir")
+    if raw_working_dir:
+        working_dir = os.path.abspath(raw_working_dir)
+    elif config_path and os.path.exists(config_path):
+        working_dir = os.path.dirname(os.path.abspath(config_path))
+    else:
         working_dir = os.path.abspath(os.getcwd())
-        print_status(f"跳过环境检查模式：使用当前目录作为工作目录 {working_dir}", "info")
-        # 检查当前目录是否有 local_config.py
-        local_config_in_cwd = os.path.join(working_dir, "local_config.py")
-        if os.path.exists(local_config_in_cwd):
-            config_path = local_config_in_cwd
+
+    # unilabos_data 子目录自动检测
+    if os.path.basename(working_dir) != "unilabos_data":
+        unilabos_data_sub = os.path.join(working_dir, "unilabos_data")
+        if os.path.isdir(unilabos_data_sub):
+            working_dir = unilabos_data_sub
+        elif not raw_working_dir and not (config_path and os.path.exists(config_path)):
+            # 未显式指定路径，默认使用 cwd/unilabos_data
+            working_dir = os.path.abspath(os.path.join(os.getcwd(), "unilabos_data"))
+
+    # === 解析 config_path ===
+    if config_path and not os.path.exists(config_path):
+        # config_path 传入但不存在，尝试在 working_dir 中查找
+        candidate = os.path.join(working_dir, "local_config.py")
+        if os.path.exists(candidate):
+            config_path = candidate
+            print_status(f"在工作目录中发现配置文件: {config_path}", "info")
+        else:
+            print_status(
+                f"配置文件 {config_path} 不存在，工作目录 {working_dir} 中也未找到 local_config.py，"
+                f"请通过 --config 传入 local_config.py 文件路径",
+                "error",
+            )
+            os._exit(1)
+    elif not config_path:
+        # 规则3: 未传入 config_path，尝试 working_dir/local_config.py
+        candidate = os.path.join(working_dir, "local_config.py")
+        if os.path.exists(candidate):
+            config_path = candidate
             print_status(f"发现本地配置文件: {config_path}", "info")
         else:
             print_status(f"未指定config路径，可通过 --config 传入 local_config.py 文件路径", "info")
-    elif os.getcwd().endswith("unilabos_data"):
-        working_dir = os.path.abspath(os.getcwd())
-    else:
-        working_dir = os.path.abspath(os.path.join(os.getcwd(), "unilabos_data"))
-
-    if args_dict.get("working_dir"):
-        working_dir = args_dict.get("working_dir", "")
-        if config_path and not os.path.exists(config_path):
-            config_path = os.path.join(working_dir, "local_config.py")
-            if not os.path.exists(config_path):
-                print_status(
-                    f"当前工作目录 {working_dir} 未找到local_config.py，请通过 --config 传入 local_config.py 文件路径",
-                    "error",
+            print_status(f"您是否为第一次使用？并将当前路径 {working_dir} 作为工作目录？ (Y/n)", "info")
+            if check_mode or input() != "n":
+                os.makedirs(working_dir, exist_ok=True)
+                config_path = os.path.join(working_dir, "local_config.py")
+                shutil.copy(
+                    os.path.join(os.path.dirname(os.path.dirname(__file__)), "config", "example_config.py"),
+                    config_path,
                 )
+                print_status(f"已创建 local_config.py 路径： {config_path}", "info")
+            else:
                 os._exit(1)
-    elif config_path and os.path.exists(config_path):
-        working_dir = os.path.dirname(config_path)
-    elif os.path.exists(working_dir) and os.path.exists(os.path.join(working_dir, "local_config.py")):
-        config_path = os.path.join(working_dir, "local_config.py")
-    elif not skip_env_check and not config_path and (
-        not os.path.exists(working_dir) or not os.path.exists(os.path.join(working_dir, "local_config.py"))
-    ):
-        print_status(f"未指定config路径，可通过 --config 传入 local_config.py 文件路径", "info")
-        print_status(f"您是否为第一次使用？并将当前路径 {working_dir} 作为工作目录？ (Y/n)", "info")
-        if input() != "n":
-            os.makedirs(working_dir, exist_ok=True)
-            config_path = os.path.join(working_dir, "local_config.py")
-            shutil.copy(
-                os.path.join(os.path.dirname(os.path.dirname(__file__)), "config", "example_config.py"), config_path
-            )
-            print_status(f"已创建 local_config.py 路径： {config_path}", "info")
-        else:
-            os._exit(1)
 
     # 加载配置文件 (check_mode 跳过)
     print_status(f"当前工作目录为 {working_dir}", "info")
@@ -288,7 +308,9 @@ def main():
 
     if hasattr(BasicConfig, "log_level"):
         logger.info(f"Log level set to '{BasicConfig.log_level}' from config file.")
-    configure_logger(loglevel=BasicConfig.log_level, working_dir=working_dir)
+    file_path = configure_logger(loglevel=BasicConfig.log_level, working_dir=working_dir)
+    if file_path is not None:
+        logger.info(f"[LOG_FILE] {file_path}")
 
     if args.addr != parser.get_default("addr"):
         if args.addr == "test":
@@ -332,6 +354,9 @@ def main():
     BasicConfig.slave_no_host = args_dict.get("slave_no_host", False)
     BasicConfig.upload_registry = args_dict.get("upload_registry", False)
     BasicConfig.no_update_feedback = args_dict.get("no_update_feedback", False)
+    BasicConfig.test_mode = args_dict.get("test_mode", False)
+    if BasicConfig.test_mode:
+        print_status("启用测试模式：所有动作将模拟执行，不调用真实硬件", "warning")
     BasicConfig.communication_protocol = "websocket"
     machine_name = os.popen("hostname").read().strip()
     machine_name = "".join([c if c.isalnum() or c == "_" else "_" for c in machine_name])

unilabos/app/register.py

@@ -38,9 +38,9 @@ def register_devices_and_resources(lab_registry, gather_only=False) -> Optional[
             response = http_client.resource_registry({"resources": list(devices_to_register.values())})
             cost_time = time.time() - start_time
             if response.status_code in [200, 201]:
-                logger.info(f"[UniLab Register] 成功注册 {len(devices_to_register)} 个设备 {cost_time}ms")
+                logger.info(f"[UniLab Register] 成功注册 {len(devices_to_register)} 个设备 {cost_time}s")
             else:
-                logger.error(f"[UniLab Register] 设备注册失败: {response.status_code}, {response.text} {cost_time}ms")
+                logger.error(f"[UniLab Register] 设备注册失败: {response.status_code}, {response.text} {cost_time}s")
         except Exception as e:
             logger.error(f"[UniLab Register] 设备注册异常: {e}")
 
@@ -51,9 +51,9 @@ def register_devices_and_resources(lab_registry, gather_only=False) -> Optional[
             response = http_client.resource_registry({"resources": list(resources_to_register.values())})
             cost_time = time.time() - start_time
             if response.status_code in [200, 201]:
-                logger.info(f"[UniLab Register] 成功注册 {len(resources_to_register)} 个资源 {cost_time}ms")
+                logger.info(f"[UniLab Register] 成功注册 {len(resources_to_register)} 个资源 {cost_time}s")
             else:
-                logger.error(f"[UniLab Register] 资源注册失败: {response.status_code}, {response.text} {cost_time}ms")
+                logger.error(f"[UniLab Register] 资源注册失败: {response.status_code}, {response.text} {cost_time}s")
         except Exception as e:
             logger.error(f"[UniLab Register] 资源注册异常: {e}")
 

unilabos/app/web/client.py

@@ -343,9 +343,10 @@ class HTTPClient:
         edges: List[Dict[str, Any]],
         tags: Optional[List[str]] = None,
         published: bool = False,
+        description: str = "",
     ) -> Dict[str, Any]:
         """
-        导入工作流到服务器
+        导入工作流到服务器，如果 published 为 True，则额外发起发布请求
 
         Args:
             name: 工作流名称（顶层）
@@ -355,6 +356,7 @@ class HTTPClient:
             edges: 工作流边列表
             tags: 工作流标签列表，默认为空列表
             published: 是否发布工作流，默认为False
+            description: 工作流描述，发布时使用
 
         Returns:
             Dict: API响应数据，包含 code 和 data (uuid, name)
@@ -367,7 +369,6 @@ class HTTPClient:
                 "nodes": nodes,
                 "edges": edges,
                 "tags": tags if tags is not None else [],
-                "published": published,
             },
         }
         # 保存请求到文件
@@ -388,11 +389,51 @@ class HTTPClient:
             res = response.json()
             if "code" in res and res["code"] != 0:
                 logger.error(f"导入工作流失败: {response.text}")
+                return res
+            # 导入成功后，如果需要发布则额外发起发布请求
+            if published:
+                imported_uuid = res.get("data", {}).get("uuid", workflow_uuid)
+                publish_res = self.workflow_publish(imported_uuid, description)
+                res["publish_result"] = publish_res
             return res
         else:
             logger.error(f"导入工作流失败: {response.status_code}, {response.text}")
             return {"code": response.status_code, "message": response.text}
 
+    def workflow_publish(self, workflow_uuid: str, description: str = "") -> Dict[str, Any]:
+        """
+        发布工作流
+
+        Args:
+            workflow_uuid: 工作流UUID
+            description: 工作流描述
+
+        Returns:
+            Dict: API响应数据
+        """
+        payload = {
+            "uuid": workflow_uuid,
+            "description": description,
+            "published": True,
+        }
+        logger.info(f"正在发布工作流: {workflow_uuid}")
+        response = requests.patch(
+            f"{self.remote_addr}/lab/workflow/owner",
+            json=payload,
+            headers={"Authorization": f"Lab {self.auth}"},
+            timeout=60,
+        )
+        if response.status_code == 200:
+            res = response.json()
+            if "code" in res and res["code"] != 0:
+                logger.error(f"发布工作流失败: {response.text}")
+            else:
+                logger.info(f"工作流发布成功: {workflow_uuid}")
+            return res
+        else:
+            logger.error(f"发布工作流失败: {response.status_code}, {response.text}")
+            return {"code": response.status_code, "message": response.text}
+
 
 # 创建默认客户端实例
 http_client = HTTPClient()

unilabos/app/ws_client.py

@@ -478,7 +478,7 @@ class MessageProcessor:
                     self.connected = True
                     self.reconnect_count = 0
 
-                    logger.trace(f"[MessageProcessor] Connected to {self.websocket_url}")
+                    logger.info(f"[MessageProcessor] Connected to {self.websocket_url}")
 
                     # 启动发送协程
                     send_task = asyncio.create_task(self._send_handler())
@@ -556,7 +556,7 @@ class MessageProcessor:
 
     async def _send_handler(self):
         """处理发送队列中的消息"""
-        logger.trace("[MessageProcessor] Send handler started")
+        logger.debug("[MessageProcessor] Send handler started")
 
         try:
             while self.connected and self.websocket:
@@ -1090,7 +1090,7 @@ class QueueProcessor:
 
     def _run(self):
         """运行队列处理主循环"""
-        logger.trace("[QueueProcessor] Queue processor started")
+        logger.debug("[QueueProcessor] Queue processor started")
 
         while self.is_running:
             try:
@@ -1184,6 +1184,11 @@ class QueueProcessor:
         logger.debug(f"[QueueProcessor] Sending busy status for {len(queued_jobs)} queued jobs")
 
         for job_info in queued_jobs:
+            # 快照可能已过期：在遍历过程中 end_job() 可能已将此 job 移至 READY，
+            # 此时不应再发送 busy/need_more，否则会覆盖已发出的 free=True 通知
+            if job_info.status != JobStatus.QUEUE:
+                continue
+
             message = {
                 "action": "report_action_state",
                 "data": {
@@ -1300,6 +1305,7 @@ class WebSocketClient(BaseCommunicationClient):
         else:
             url = f"{scheme}://{parsed.netloc}/api/v1/ws/schedule"
 
+        logger.debug(f"[WebSocketClient] URL: {url}")
         return url
 
     def start(self) -> None:
@@ -1312,11 +1318,13 @@ class WebSocketClient(BaseCommunicationClient):
             logger.error("[WebSocketClient] WebSocket URL not configured")
             return
 
+        logger.info(f"[WebSocketClient] Starting connection to {self.websocket_url}")
+
         # 启动两个核心线程
         self.message_processor.start()
         self.queue_processor.start()
 
-        logger.trace("[WebSocketClient] All threads started")
+        logger.info("[WebSocketClient] All threads started")
 
     def stop(self) -> None:
         """停止WebSocket客户端"""

unilabos/config/config.py

@@ -23,6 +23,7 @@ class BasicConfig:
     disable_browser = False  # 禁止浏览器自动打开
     port = 8002  # 本地HTTP服务
     check_mode = False  # CI 检查模式，用于验证 registry 导入和文件一致性
+    test_mode = False  # 测试模式，所有动作不实际执行，返回模拟结果
     # 'TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'
     log_level: Literal["TRACE", "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "DEBUG"
 
@@ -145,5 +146,5 @@ def load_config(config_path=None):
             traceback.print_exc()
             exit(1)
     else:
-        config_path = os.path.join(os.path.dirname(__file__), "local_config.py")
+        config_path = os.path.join(os.path.dirname(__file__), "example_config.py")
         load_config(config_path)

unilabos/devices/liquid_handling/liquid_handler_abstract.py

@@ -21,7 +21,7 @@ from pylabrobot.resources import (
     ResourceHolder,
     Lid,
     Trash,
-    Tip,
+    Tip, TubeRack,
 )
 from typing_extensions import TypedDict
 
@@ -696,10 +696,13 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
 
         如果 liquid_names 和 volumes 为空，但 plate 和 well_names 不为空，直接返回 plate 和 wells。
         """
-        assert issubclass(plate.__class__, Plate), "plate must be a Plate"
-        plate: Plate = cast(Plate, cast(Resource, plate))
+        assert issubclass(plate.__class__, Plate) or issubclass(plate.__class__, TubeRack) , f"plate must be a Plate, now: {type(plate)}"
+        plate: Union[Plate, TubeRack]
         # 根据 well_names 获取对应的 Well 对象
-        wells = [plate.get_well(name) for name in well_names]
+        if issubclass(plate.__class__, Plate):
+            wells = [plate.get_well(name) for name in well_names]
+        elif issubclass(plate.__class__, TubeRack):
+            wells = [plate.get_tube(name) for name in well_names]
         res_volumes = []
 
         # 如果 liquid_names 和 volumes 都为空，直接返回

unilabos/devices/liquid_handling/prcxi/prcxi.py

@@ -91,7 +91,7 @@ class PRCXI9300Deck(Deck):
     """
 
     def __init__(self, name: str, size_x: float, size_y: float, size_z: float, **kwargs):
-        super().__init__(name, size_x, size_y, size_z)
+        super().__init__(size_x, size_y, size_z, name)
         self.slots = [None] * 16  # PRCXI 9300/9320 最大有 16 个槽位
         self.slot_locations = [Coordinate(0, 0, 0)] * 16
 
@@ -248,14 +248,15 @@ class PRCXI9300TipRack(TipRack):
         if ordered_items is not None:
             items = ordered_items
         elif ordering is not None:
-            # 检查 ordering 中的值是否是字符串（从 JSON 反序列化时的情况）
-            # 如果是字符串，说明这是位置名称，需要让 TipRack 自己创建 Tip 对象
-            # 我们只传递位置信息（键），不传递值，使用 ordering 参数
-            if ordering and isinstance(next(iter(ordering.values()), None), str):
-                # ordering 的值是字符串，只使用键（位置信息）创建新的 OrderedDict
+            # 检查 ordering 中的值类型来决定如何处理：
+            # - 字符串值（从 JSON 反序列化）: 只用键创建 ordering_param
+            # - None 值（从第二次往返序列化）: 同样只用键创建 ordering_param
+            # - 对象值（已经是实际的 Resource 对象）: 直接作为 ordered_items 使用
+            first_val = next(iter(ordering.values()), None) if ordering else None
+            if not ordering or first_val is None or isinstance(first_val, str):
+                # ordering 的值是字符串或 None，只使用键（位置信息）创建新的 OrderedDict
                 # 传递 ordering 参数而不是 ordered_items，让 TipRack 自己创建 Tip 对象
                 items = None
-                # 使用 ordering 参数，只包含位置信息（键）
                 ordering_param = collections.OrderedDict((k, None) for k in ordering.keys())
             else:
                 # ordering 的值已经是对象，可以直接使用
@@ -397,14 +398,15 @@ class PRCXI9300TubeRack(TubeRack):
             items_to_pass = ordered_items
             ordering_param = None
         elif ordering is not None:
-            # 检查 ordering 中的值是否是字符串（从 JSON 反序列化时的情况）
-            # 如果是字符串，说明这是位置名称，需要让 TubeRack 自己创建 Tube 对象
-            # 我们只传递位置信息（键），不传递值，使用 ordering 参数
-            if ordering and isinstance(next(iter(ordering.values()), None), str):
-                # ordering 的值是字符串，只使用键（位置信息）创建新的 OrderedDict
+            # 检查 ordering 中的值类型来决定如何处理：
+            # - 字符串值（从 JSON 反序列化）: 只用键创建 ordering_param
+            # - None 值（从第二次往返序列化）: 同样只用键创建 ordering_param
+            # - 对象值（已经是实际的 Resource 对象）: 直接作为 ordered_items 使用
+            first_val = next(iter(ordering.values()), None) if ordering else None
+            if not ordering or first_val is None or isinstance(first_val, str):
+                # ordering 的值是字符串或 None，只使用键（位置信息）创建新的 OrderedDict
                 # 传递 ordering 参数而不是 ordered_items，让 TubeRack 自己创建 Tube 对象
                 items_to_pass = None
-                # 使用 ordering 参数，只包含位置信息（键）
                 ordering_param = collections.OrderedDict((k, None) for k in ordering.keys())
             else:
                 # ordering 的值已经是对象，可以直接使用

unilabos/registry/device_comms/communication_devices.yaml

@@ -96,10 +96,13 @@ serial:
           type: string
         port:
           type: string
+        registry_name:
+          type: string
         resource_tracker:
           type: object
       required:
       - device_id
+      - registry_name
       - port
       type: object
     data:

unilabos/registry/devices/camera.yaml

@@ -67,6 +67,9 @@ camera:
         period:
           default: 0.1
           type: number
+        registry_name:
+          default: ''
+          type: string
         resource_tracker:
           type: object
       required: []

unilabos/registry/registry.py

@@ -5,6 +5,7 @@ import sys
 import inspect
 import importlib
 import threading
+import traceback
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from pathlib import Path
 from typing import Any, Dict, List, Union, Tuple
@@ -88,6 +89,14 @@ class Registry:
         )
         test_latency_schema["description"] = "用于测试延迟的动作，返回延迟时间和时间差。"
 
+        test_resource_method_info = host_node_enhanced_info.get("action_methods", {}).get("test_resource", {})
+        test_resource_schema = self._generate_unilab_json_command_schema(
+            test_resource_method_info.get("args", []),
+            "test_resource",
+            test_resource_method_info.get("return_annotation"),
+        )
+        test_resource_schema["description"] = "用于测试物料、设备和样本。"
+
         self.device_type_registry.update(
             {
                 "host_node": {
@@ -189,32 +198,7 @@ class Registry:
                                 "goal": {},
                                 "feedback": {},
                                 "result": {},
-                                "schema": {
-                                    "description": "",
-                                    "properties": {
-                                        "feedback": {},
-                                        "goal": {
-                                            "properties": {
-                                                "resource": ros_message_to_json_schema(Resource, "resource"),
-                                                "resources": {
-                                                    "items": {
-                                                        "properties": ros_message_to_json_schema(
-                                                            Resource, "resources"
-                                                        ),
-                                                        "type": "object",
-                                                    },
-                                                    "type": "array",
-                                                },
-                                                "device": {"type": "string"},
-                                                "devices": {"items": {"type": "string"}, "type": "array"},
-                                            },
-                                            "type": "object",
-                                        },
-                                        "result": {},
-                                    },
-                                    "title": "test_resource",
-                                    "type": "object",
-                                },
+                                "schema": test_resource_schema,
                                 "placeholder_keys": {
                                     "device": "unilabos_devices",
                                     "devices": "unilabos_devices",
@@ -944,6 +928,7 @@ class Registry:
                     if is_valid:
                         results.append((file, data, device_ids))
                 except Exception as e:
+                    traceback.print_exc()
                     logger.warning(f"[UniLab Registry] 处理设备文件异常: {file}, 错误: {e}")
 
         # 线程安全地更新注册表

unilabos/resources/graphio.py

@@ -42,7 +42,7 @@ def canonicalize_nodes_data(
     Returns:
         ResourceTreeSet: 标准化后的资源树集合
     """
-    print_status(f"{len(nodes)} Resources loaded", "info")
+    print_status(f"{len(nodes)} Resources loaded:", "info")
 
     # 第一步：基本预处理（处理graphml的label字段）
     outer_host_node_id = None

unilabos/resources/resource_tracker.py

@@ -38,24 +38,52 @@ class LabSample(TypedDict):
     extra: Dict[str, Any]
 
 
+class ResourceDictPositionSizeType(TypedDict):
+    depth: float
+    width: float
+    height: float
+
+
 class ResourceDictPositionSize(BaseModel):
     depth: float = Field(description="Depth", default=0.0)  # z
     width: float = Field(description="Width", default=0.0)  # x
     height: float = Field(description="Height", default=0.0)  # y
 
 
+class ResourceDictPositionScaleType(TypedDict):
+    x: float
+    y: float
+    z: float
+
+
 class ResourceDictPositionScale(BaseModel):
     x: float = Field(description="x scale", default=0.0)
     y: float = Field(description="y scale", default=0.0)
     z: float = Field(description="z scale", default=0.0)
 
 
+class ResourceDictPositionObjectType(TypedDict):
+    x: float
+    y: float
+    z: float
+
+
 class ResourceDictPositionObject(BaseModel):
     x: float = Field(description="X coordinate", default=0.0)
     y: float = Field(description="Y coordinate", default=0.0)
     z: float = Field(description="Z coordinate", default=0.0)
 
 
+class ResourceDictPositionType(TypedDict):
+    size: ResourceDictPositionSizeType
+    scale: ResourceDictPositionScaleType
+    layout: Literal["2d", "x-y", "z-y", "x-z"]
+    position: ResourceDictPositionObjectType
+    position3d: ResourceDictPositionObjectType
+    rotation: ResourceDictPositionObjectType
+    cross_section_type: Literal["rectangle", "circle", "rounded_rectangle"]
+
+
 class ResourceDictPosition(BaseModel):
     size: ResourceDictPositionSize = Field(description="Resource size", default_factory=ResourceDictPositionSize)
     scale: ResourceDictPositionScale = Field(description="Resource scale", default_factory=ResourceDictPositionScale)
@@ -74,6 +102,24 @@ class ResourceDictPosition(BaseModel):
     )
 
 
+class ResourceDictType(TypedDict):
+    id: str
+    uuid: str
+    name: str
+    description: str
+    resource_schema: Dict[str, Any]
+    model: Dict[str, Any]
+    icon: str
+    parent_uuid: Optional[str]
+    parent: Optional["ResourceDictType"]
+    type: Union[Literal["device"], str]
+    klass: str
+    pose: ResourceDictPositionType
+    config: Dict[str, Any]
+    data: Dict[str, Any]
+    extra: Dict[str, Any]
+
+
 # 统一的资源字典模型，parent 自动序列化为 parent_uuid，children 不序列化
 class ResourceDict(BaseModel):
     id: str = Field(description="Resource ID")
@@ -91,8 +137,8 @@ class ResourceDict(BaseModel):
     klass: str = Field(alias="class", description="Resource class name")
     pose: ResourceDictPosition = Field(description="Resource position", default_factory=ResourceDictPosition)
     config: Dict[str, Any] = Field(description="Resource configuration")
-    data: Dict[str, Any] = Field(description="Resource data, eg: container liquid data")
-    extra: Dict[str, Any] = Field(description="Extra data, eg: slot index")
+    data: Dict[str, Any] = Field(description="Resource data")
+    extra: Dict[str, Any] = Field(description="Extra data")
 
     @field_serializer("parent_uuid")
     def _serialize_parent(self, parent_uuid: Optional["ResourceDict"]):

unilabos/ros/nodes/base_device_node.py

@@ -460,7 +460,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
             }
             res.response = json.dumps(final_response)
             # 如果driver自己就有assign的方法，那就使用driver自己的assign方法
-            if hasattr(self.driver_instance, "create_resource"):
+            if hasattr(self.driver_instance, "create_resource") and self.node_name != "host_node":
                 create_resource_func = getattr(self.driver_instance, "create_resource")
                 try:
                     ret = create_resource_func(

unilabos/ros/nodes/presets/host_node.py

@@ -35,7 +35,7 @@ from unilabos.resources.resource_tracker import (
     ResourceTreeInstance,
     RETURN_UNILABOS_SAMPLES,
     JSON_UNILABOS_PARAM,
-    PARAM_SAMPLE_UUIDS,
+    PARAM_SAMPLE_UUIDS, SampleUUIDsType, LabSample,
 )
 from unilabos.ros.initialize_device import initialize_device_from_dict
 from unilabos.ros.msgs.message_converter import (
@@ -51,6 +51,7 @@ from unilabos.utils import logger
 from unilabos.utils.exception import DeviceClassInvalid
 from unilabos.utils.log import warning
 from unilabos.utils.type_check import serialize_result_info
+from unilabos.config.config import BasicConfig
 
 if TYPE_CHECKING:
     from unilabos.app.ws_client import QueueItem
@@ -63,7 +64,8 @@ class DeviceActionStatus:
 
 class TestResourceReturn(TypedDict):
     resources: List[List[ResourceDict]]
-    devices: List[DeviceSlot]
+    devices: List[Dict[str, Any]]
+    unilabos_samples: List[LabSample]
 
 
 class TestLatencyReturn(TypedDict):
@@ -776,6 +778,17 @@ class HostNode(BaseROS2DeviceNode):
         u = uuid.UUID(item.job_id)
         device_id = item.device_id
         action_name = item.action_name
+
+        if BasicConfig.test_mode:
+            action_id = f"/devices/{device_id}/{action_name}"
+            self.lab_logger().info(
+                f"[TEST MODE] 模拟执行: {action_id} (job={item.job_id[:8]}), 参数: {str(action_kwargs)[:500]}"
+            )
+            # 根据注册表 handles 构建模拟返回值
+            mock_return = self._build_test_mode_return(device_id, action_name, action_kwargs)
+            self._handle_test_mode_result(item, action_id, mock_return)
+            return
+
         if action_type.startswith("UniLabJsonCommand"):
             if action_name.startswith("auto-"):
                 action_name = action_name[5:]
@@ -813,6 +826,51 @@ class HostNode(BaseROS2DeviceNode):
         )
         future.add_done_callback(lambda f: self.goal_response_callback(item, action_id, f))
 
+    def _build_test_mode_return(
+        self, device_id: str, action_name: str, action_kwargs: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """
+        根据注册表 handles 的 output 定义构建测试模式的模拟返回值
+
+        根据 data_key 中 @flatten 的层数决定嵌套数组层数，叶子值为空字典。
+        例如: "vessel" → {}, "plate.@flatten" → [{}], "a.@flatten.@flatten" → [[{}]]
+        """
+        mock_return: Dict[str, Any] = {"test_mode": True, "action_name": action_name}
+        action_mappings = self._action_value_mappings.get(device_id, {})
+        action_mapping = action_mappings.get(action_name, {})
+        handles = action_mapping.get("handles", {})
+        if isinstance(handles, dict):
+            for output_handle in handles.get("output", []):
+                data_key = output_handle.get("data_key", "")
+                handler_key = output_handle.get("handler_key", "")
+                # 根据 @flatten 层数构建嵌套数组，叶子为空字典
+                flatten_count = data_key.count("@flatten")
+                value: Any = {}
+                for _ in range(flatten_count):
+                    value = [value]
+                mock_return[handler_key] = value
+        return mock_return
+
+    def _handle_test_mode_result(
+        self, item: "QueueItem", action_id: str, mock_return: Dict[str, Any]
+    ) -> None:
+        """
+        测试模式下直接构建结果并走正常的结果回调流程（跳过 ROS）
+        """
+        job_id = item.job_id
+        status = "success"
+        return_info = serialize_result_info("", True, mock_return)
+
+        self.lab_logger().info(f"[TEST MODE] Result for {action_id} ({job_id[:8]}): {status}")
+
+        from unilabos.app.web.controller import store_job_result
+        store_job_result(job_id, status, return_info, mock_return)
+
+        # 发布状态到桥接器
+        for bridge in self.bridges:
+            if hasattr(bridge, "publish_job_status"):
+                bridge.publish_job_status(mock_return, item, status, return_info)
+
     def goal_response_callback(self, item: "QueueItem", action_id: str, future) -> None:
         """目标响应回调"""
         goal_handle = future.result()
@@ -1525,6 +1583,7 @@ class HostNode(BaseROS2DeviceNode):
 
     def test_resource(
         self,
+        sample_uuids: SampleUUIDsType,
         resource: ResourceSlot = None,
         resources: List[ResourceSlot] = None,
         device: DeviceSlot = None,
@@ -1539,6 +1598,7 @@ class HostNode(BaseROS2DeviceNode):
         return {
             "resources": ResourceTreeSet.from_plr_resources([resource, *resources], known_newly_created=True).dump(),
             "devices": [device, *devices],
+            "unilabos_samples": [LabSample(sample_uuid=sample_uuid, oss_path="", extra={"material_uuid": content} if isinstance(content, str) else content.serialize()) for sample_uuid, content in sample_uuids.items()]
         }
 
     def handle_pong_response(self, pong_data: dict):

unilabos/utils/log.py

@@ -193,6 +193,7 @@ def configure_logger(loglevel=None, working_dir=None):
     root_logger.addHandler(console_handler)
 
     # 如果指定了工作目录，添加文件处理器
+    log_filepath = None
     if working_dir is not None:
         logs_dir = os.path.join(working_dir, "logs")
         os.makedirs(logs_dir, exist_ok=True)
@@ -213,6 +214,7 @@ def configure_logger(loglevel=None, working_dir=None):
 
     logging.getLogger("asyncio").setLevel(logging.INFO)
     logging.getLogger("urllib3").setLevel(logging.INFO)
+    return log_filepath
 
 
 

unilabos/workflow/common.py

@@ -362,14 +362,16 @@ def build_protocol_graph(
     protocol_steps: List[Dict[str, Any]],
     workstation_name: str,
     action_resource_mapping: Optional[Dict[str, str]] = None,
+    labware_defs: Optional[List[Dict[str, Any]]] = None,
 ) -> WorkflowGraph:
     """统一的协议图构建函数，根据设备类型自动选择构建逻辑
 
     Args:
-        labware_info: labware 信息字典，格式为 {name: {slot, well, labware, ...}, ...}
+        labware_info: reagent 信息字典，格式为 {name: {slot, well}, ...}，用于 set_liquid 和 well 查找
         protocol_steps: 协议步骤列表
         workstation_name: 工作站名称
         action_resource_mapping: action 到 resource_name 的映射字典，可选
+        labware_defs: labware 定义列表，格式为 [{"name": "...", "slot": "1", "type": "lab_xxx"}, ...]
     """
     G = WorkflowGraph()
     resource_last_writer = {}  # reagent_name -> "node_id:port"
@@ -377,18 +379,7 @@ def build_protocol_graph(
 
     protocol_steps = refactor_data(protocol_steps, action_resource_mapping)
 
-    # ==================== 第一步：按 slot 去重创建 create_resource 节点 ====================
-    # 收集所有唯一的 slot
-    slots_info = {}  # slot -> {labware, res_id}
-    for labware_id, item in labware_info.items():
-        slot = str(item.get("slot", ""))
-        if slot and slot not in slots_info:
-            res_id = f"plate_slot_{slot}"
-            slots_info[slot] = {
-                "labware": item.get("labware", ""),
-                "res_id": res_id,
-            }
-
+    # ==================== 第一步：按 slot 创建 create_resource 节点 ====================
     # 创建 Group 节点，包含所有 create_resource 节点
     group_node_id = str(uuid.uuid4())
     G.add_node(
@@ -404,29 +395,35 @@ def build_protocol_graph(
         param=None,
     )
 
-    # 为每个唯一的 slot 创建 create_resource 节点
+    # 直接使用 JSON 中的 labware 定义，每个 slot 一条记录，type 即 class_name
     res_index = 0
-    for slot, info in slots_info.items():
-        node_id = str(uuid.uuid4())
-        res_id = info["res_id"]
+    for lw in (labware_defs or []):
+        slot = str(lw.get("slot", ""))
+        if not slot or slot in slot_to_create_resource:
+            continue  # 跳过空 slot 或已处理的 slot
+
+        lw_name = lw.get("name", f"slot {slot}")
+        lw_type = lw.get("type", CREATE_RESOURCE_DEFAULTS["class_name"])
+        res_id = f"plate_slot_{slot}"
 
         res_index += 1
+        node_id = str(uuid.uuid4())
         G.add_node(
             node_id,
             template_name="create_resource",
             resource_name="host_node",
-            name=f"Plate {res_index}",
-            description=f"Create plate on slot {slot}",
+            name=lw_name,
+            description=f"Create {lw_name}",
             lab_node_type="Labware",
             footer="create_resource-host_node",
             device_name=DEVICE_NAME_HOST,
             type=NODE_TYPE_DEFAULT,
-            parent_uuid=group_node_id,  # 指向 Group 节点
-            minimized=True,  # 折叠显示
+            parent_uuid=group_node_id,
+            minimized=True,
             param={
                 "res_id": res_id,
                 "device_id": CREATE_RESOURCE_DEFAULTS["device_id"],
-                "class_name": CREATE_RESOURCE_DEFAULTS["class_name"],
+                "class_name": lw_type,
                 "parent": CREATE_RESOURCE_DEFAULTS["parent_template"].format(slot=slot),
                 "bind_locations": {"x": 0.0, "y": 0.0, "z": 0.0},
                 "slot_on_deck": slot,
@@ -434,8 +431,6 @@ def build_protocol_graph(
         )
         slot_to_create_resource[slot] = node_id
 
-        # create_resource 之间不需要 ready 连接
-
     # ==================== 第二步：为每个 reagent 创建 set_liquid_from_plate 节点 ====================
     # 创建 Group 节点，包含所有 set_liquid_from_plate 节点
     set_liquid_group_id = str(uuid.uuid4())

unilabos/workflow/convert_from_json.py

@@ -1,16 +1,20 @@
 """
 JSON 工作流转换模块
 
-将 workflow/reagent 格式的 JSON 转换为统一工作流格式。
+将 workflow/reagent/labware 格式的 JSON 转换为统一工作流格式。
 
 输入格式:
 {
+    "labware": [
+        {"name": "...", "slot": "1", "type": "lab_xxx"},
+        ...
+    ],
     "workflow": [
         {"action": "...", "action_args": {...}},
         ...
     ],
     "reagent": {
-        "reagent_name": {"slot": int, "well": [...], "labware": "..."},
+        "reagent_name": {"slot": int, "well": [...]},
         ...
     }
 }
@@ -245,18 +249,18 @@ def convert_from_json(
     if "workflow" not in json_data or "reagent" not in json_data:
         raise ValueError(
             "不支持的 JSON 格式。请使用标准格式:\n"
-            '{"workflow": [{"action": "...", "action_args": {...}}, ...], '
-            '"reagent": {"name": {"slot": int, "well": [...], "labware": "..."}, ...}}'
+            '{"labware": [...], "workflow": [...], "reagent": {...}}'
         )
 
     # 提取数据
     workflow = json_data["workflow"]
     reagent = json_data["reagent"]
+    labware_defs = json_data.get("labware", [])  # 新的 labware 定义列表
 
     # 规范化步骤数据
     protocol_steps = normalize_workflow_steps(workflow)
 
-    # reagent 已经是字典格式，直接使用
+    # reagent 已经是字典格式，用于 set_liquid 和 well 数量查找
     labware_info = reagent
 
     # 构建工作流图
@@ -265,6 +269,7 @@ def convert_from_json(
         protocol_steps=protocol_steps,
         workstation_name=workstation_name,
         action_resource_mapping=ACTION_RESOURCE_MAPPING,
+        labware_defs=labware_defs,
     )
 
     # 校验句柄配置

unilabos/workflow/from_python_script.py

@@ -1,241 +0,0 @@
-import ast
-import json
-from typing import Dict, List, Any, Tuple, Optional
-
-from .common import WorkflowGraph, RegistryAdapter
-
-Json = Dict[str, Any]
-
-# ---------------- Converter ----------------
-
-class DeviceMethodConverter:
-    """
-    - 字段统一：resource_name（原 device_class）、template_name（原 action_key）
-    - params 单层；inputs 使用 'params.' 前缀
-    - SimpleGraph.add_workflow_node 负责变量连线与边
-    """
-    def __init__(self, device_registry: Optional[Dict[str, Any]] = None):
-        self.graph = WorkflowGraph()
-        self.variable_sources: Dict[str, Dict[str, Any]] = {}        # var -> {node_id, output_name}
-        self.instance_to_resource: Dict[str, Optional[str]] = {}     # 实例名 -> resource_name
-        self.node_id_counter: int = 0
-        self.registry = RegistryAdapter(device_registry or {})
-
-    # ---- helpers ----
-    def _new_node_id(self) -> int:
-        nid = self.node_id_counter
-        self.node_id_counter += 1
-        return nid
-
-    def _assign_targets(self, targets) -> List[str]:
-        names: List[str] = []
-        import ast
-        if isinstance(targets, ast.Tuple):
-            for elt in targets.elts:
-                if isinstance(elt, ast.Name):
-                    names.append(elt.id)
-        elif isinstance(targets, ast.Name):
-            names.append(targets.id)
-        return names
-
-    def _extract_device_instantiation(self, node) -> Optional[Tuple[str, str]]:
-        import ast
-        if not isinstance(node.value, ast.Call):
-            return None
-        callee = node.value.func
-        if isinstance(callee, ast.Name):
-            class_name = callee.id
-        elif isinstance(callee, ast.Attribute) and isinstance(callee.value, ast.Name):
-            class_name = callee.attr
-        else:
-            return None
-        if isinstance(node.targets[0], ast.Name):
-            instance = node.targets[0].id
-            return instance, class_name
-        return None
-
-    def _extract_call(self, call) -> Tuple[str, str, Dict[str, Any], str]:
-        import ast
-        owner_name, method_name, call_kind = "", "", "func"
-        if isinstance(call.func, ast.Attribute):
-            method_name = call.func.attr
-            if isinstance(call.func.value, ast.Name):
-                owner_name = call.func.value.id
-                call_kind = "instance" if owner_name in self.instance_to_resource else "class_or_module"
-            elif isinstance(call.func.value, ast.Attribute) and isinstance(call.func.value.value, ast.Name):
-                owner_name = call.func.value.attr
-                call_kind = "class_or_module"
-        elif isinstance(call.func, ast.Name):
-            method_name = call.func.id
-            call_kind = "func"
-
-        def pack(node):
-            if isinstance(node, ast.Name):
-                return {"type": "variable", "value": node.id}
-            if isinstance(node, ast.Constant):
-                return {"type": "constant", "value": node.value}
-            if isinstance(node, ast.Dict):
-                return {"type": "dict", "value": self._parse_dict(node)}
-            if isinstance(node, ast.List):
-                return {"type": "list", "value": self._parse_list(node)}
-            return {"type": "raw", "value": ast.unparse(node) if hasattr(ast, "unparse") else str(node)}
-
-        args: Dict[str, Any] = {}
-        pos: List[Any] = []
-        for a in call.args:
-            pos.append(pack(a))
-        for kw in call.keywords:
-            args[kw.arg] = pack(kw.value)
-        if pos:
-            args["_positional"] = pos
-        return owner_name, method_name, args, call_kind
-
-    def _parse_dict(self, node) -> Dict[str, Any]:
-        import ast
-        out: Dict[str, Any] = {}
-        for k, v in zip(node.keys, node.values):
-            if isinstance(k, ast.Constant):
-                key = str(k.value)
-                if isinstance(v, ast.Name):
-                    out[key] = f"var:{v.id}"
-                elif isinstance(v, ast.Constant):
-                    out[key] = v.value
-                elif isinstance(v, ast.Dict):
-                    out[key] = self._parse_dict(v)
-                elif isinstance(v, ast.List):
-                    out[key] = self._parse_list(v)
-        return out
-
-    def _parse_list(self, node) -> List[Any]:
-        import ast
-        out: List[Any] = []
-        for elt in node.elts:
-            if isinstance(elt, ast.Name):
-                out.append(f"var:{elt.id}")
-            elif isinstance(elt, ast.Constant):
-                out.append(elt.value)
-            elif isinstance(elt, ast.Dict):
-                out.append(self._parse_dict(elt))
-            elif isinstance(elt, ast.List):
-                out.append(self._parse_list(elt))
-        return out
-
-    def _normalize_var_tokens(self, x: Any) -> Any:
-        if isinstance(x, str) and x.startswith("var:"):
-            return {"__var__": x[4:]}
-        if isinstance(x, list):
-            return [self._normalize_var_tokens(i) for i in x]
-        if isinstance(x, dict):
-            return {k: self._normalize_var_tokens(v) for k, v in x.items()}
-        return x
-
-    def _make_params_payload(self, resource_name: Optional[str], template_name: str, call_args: Dict[str, Any]) -> Dict[str, Any]:
-        input_keys = self.registry.get_action_input_keys(resource_name, template_name) if resource_name else []
-        defaults = self.registry.get_action_goal_default(resource_name, template_name) if resource_name else {}
-        params: Dict[str, Any] = dict(defaults)
-
-        def unpack(p):
-            t, v = p.get("type"), p.get("value")
-            if t == "variable":
-                return {"__var__": v}
-            if t == "dict":
-                return self._normalize_var_tokens(v)
-            if t == "list":
-                return self._normalize_var_tokens(v)
-            return v
-
-        for k, p in call_args.items():
-            if k == "_positional":
-                continue
-            params[k] = unpack(p)
-
-        pos = call_args.get("_positional", [])
-        if pos:
-            if input_keys:
-                for i, p in enumerate(pos):
-                    if i >= len(input_keys):
-                        break
-                    name = input_keys[i]
-                    if name in params:
-                        continue
-                    params[name] = unpack(p)
-            else:
-                for i, p in enumerate(pos):
-                    params[f"arg_{i}"] = unpack(p)
-        return params
-
-    # ---- handlers ----
-    def _on_assign(self, stmt):
-        import ast
-        inst = self._extract_device_instantiation(stmt)
-        if inst:
-            instance, code_class = inst
-            resource_name = self.registry.resolve_resource_by_classname(code_class)
-            self.instance_to_resource[instance] = resource_name
-            return
-
-        if isinstance(stmt.value, ast.Call):
-            owner, method, call_args, kind = self._extract_call(stmt.value)
-            if kind == "instance":
-                device_key = owner
-                resource_name = self.instance_to_resource.get(owner)
-            else:
-                device_key = owner
-                resource_name = self.registry.resolve_resource_by_classname(owner)
-
-            module = self.registry.get_device_module(resource_name)
-            params = self._make_params_payload(resource_name, method, call_args)
-
-            nid = self._new_node_id()
-            self.graph.add_workflow_node(
-                nid,
-                device_key=device_key,
-                resource_name=resource_name,      # ✅
-                module=module,
-                template_name=method,             # ✅
-                params=params,
-                variable_sources=self.variable_sources,
-                add_ready_if_no_vars=True,
-                prev_node_id=(nid - 1) if nid > 0 else None,
-            )
-
-            out_vars = self._assign_targets(stmt.targets[0])
-            for var in out_vars:
-                self.variable_sources[var] = {"node_id": nid, "output_name": "result"}
-
-    def _on_expr(self, stmt):
-        import ast
-        if not isinstance(stmt.value, ast.Call):
-            return
-        owner, method, call_args, kind = self._extract_call(stmt.value)
-        if kind == "instance":
-            device_key = owner
-            resource_name = self.instance_to_resource.get(owner)
-        else:
-            device_key = owner
-            resource_name = self.registry.resolve_resource_by_classname(owner)
-
-        module = self.registry.get_device_module(resource_name)
-        params = self._make_params_payload(resource_name, method, call_args)
-
-        nid = self._new_node_id()
-        self.graph.add_workflow_node(
-            nid,
-            device_key=device_key,
-            resource_name=resource_name,      # ✅
-            module=module,
-            template_name=method,             # ✅
-            params=params,
-            variable_sources=self.variable_sources,
-            add_ready_if_no_vars=True,
-            prev_node_id=(nid - 1) if nid > 0 else None,
-        )
-
-    def convert(self, python_code: str):
-        tree = ast.parse(python_code)
-        for stmt in tree.body:
-            if isinstance(stmt, ast.Assign):
-                self._on_assign(stmt)
-            elif isinstance(stmt, ast.Expr):
-                self._on_expr(stmt)
-        return self

unilabos/workflow/from_xdl.py

@@ -1,131 +0,0 @@
-from typing import List, Any, Dict
-import xml.etree.ElementTree as ET
-
-
-def convert_to_type(val: str) -> Any:
-    """将字符串值转换为适当的数据类型"""
-    if val == "True":
-        return True
-    if val == "False":
-        return False
-    if val == "?":
-        return None
-    if val.endswith(" g"):
-        return float(val.split(" ")[0])
-    if val.endswith("mg"):
-        return float(val.split("mg")[0])
-    elif val.endswith("mmol"):
-        return float(val.split("mmol")[0]) / 1000
-    elif val.endswith("mol"):
-        return float(val.split("mol")[0])
-    elif val.endswith("ml"):
-        return float(val.split("ml")[0])
-    elif val.endswith("RPM"):
-        return float(val.split("RPM")[0])
-    elif val.endswith(" °C"):
-        return float(val.split(" ")[0])
-    elif val.endswith(" %"):
-        return float(val.split(" ")[0])
-    return val
-
-
-def flatten_xdl_procedure(procedure_elem: ET.Element) -> List[ET.Element]:
-    """展平嵌套的XDL程序结构"""
-    flattened_operations = []
-    TEMP_UNSUPPORTED_PROTOCOL = ["Purge", "Wait", "Stir", "ResetHandling"]
-
-    def extract_operations(element: ET.Element):
-        if element.tag not in ["Prep", "Reaction", "Workup", "Purification", "Procedure"]:
-            if element.tag not in TEMP_UNSUPPORTED_PROTOCOL:
-                flattened_operations.append(element)
-
-        for child in element:
-            extract_operations(child)
-
-    for child in procedure_elem:
-        extract_operations(child)
-
-    return flattened_operations
-
-
-def parse_xdl_content(xdl_content: str) -> tuple:
-    """解析XDL内容"""
-    try:
-        xdl_content_cleaned = "".join(c for c in xdl_content if c.isprintable())
-        root = ET.fromstring(xdl_content_cleaned)
-
-        synthesis_elem = root.find("Synthesis")
-        if synthesis_elem is None:
-            return None, None, None
-
-        # 解析硬件组件
-        hardware_elem = synthesis_elem.find("Hardware")
-        hardware = []
-        if hardware_elem is not None:
-            hardware = [{"id": c.get("id"), "type": c.get("type")} for c in hardware_elem.findall("Component")]
-
-        # 解析试剂
-        reagents_elem = synthesis_elem.find("Reagents")
-        reagents = []
-        if reagents_elem is not None:
-            reagents = [{"name": r.get("name"), "role": r.get("role", "")} for r in reagents_elem.findall("Reagent")]
-
-        # 解析程序
-        procedure_elem = synthesis_elem.find("Procedure")
-        if procedure_elem is None:
-            return None, None, None
-
-        flattened_operations = flatten_xdl_procedure(procedure_elem)
-        return hardware, reagents, flattened_operations
-
-    except ET.ParseError as e:
-        raise ValueError(f"Invalid XDL format: {e}")
-
-
-def convert_xdl_to_dict(xdl_content: str) -> Dict[str, Any]:
-    """
-    将XDL XML格式转换为标准的字典格式
-
-    Args:
-        xdl_content: XDL XML内容
-
-    Returns:
-        转换结果，包含步骤和器材信息
-    """
-    try:
-        hardware, reagents, flattened_operations = parse_xdl_content(xdl_content)
-        if hardware is None:
-            return {"error": "Failed to parse XDL content", "success": False}
-
-        # 将XDL元素转换为字典格式
-        steps_data = []
-        for elem in flattened_operations:
-            # 转换参数类型
-            parameters = {}
-            for key, val in elem.attrib.items():
-                converted_val = convert_to_type(val)
-                if converted_val is not None:
-                    parameters[key] = converted_val
-
-            step_dict = {
-                "operation": elem.tag,
-                "parameters": parameters,
-                "description": elem.get("purpose", f"Operation: {elem.tag}"),
-            }
-            steps_data.append(step_dict)
-
-        # 合并硬件和试剂为统一的labware_info格式
-        labware_data = []
-        labware_data.extend({"id": hw["id"], "type": "hardware", **hw} for hw in hardware)
-        labware_data.extend({"name": reagent["name"], "type": "reagent", **reagent} for reagent in reagents)
-
-        return {
-            "success": True,
-            "steps": steps_data,
-            "labware": labware_data,
-            "message": f"Successfully converted XDL to dict format. Found {len(steps_data)} steps and {len(labware_data)} labware items.",
-        }
-
-    except Exception as e:
-        error_msg = f"XDL conversion failed: {str(e)}"
-        return {"error": error_msg, "success": False}

unilabos/workflow/wf_utils.py

@@ -41,6 +41,7 @@ def upload_workflow(
     workflow_name: Optional[str] = None,
     tags: Optional[List[str]] = None,
     published: bool = False,
+    description: str = "",
 ) -> Dict[str, Any]:
     """
     上传工作流到服务器
@@ -56,6 +57,7 @@ def upload_workflow(
         workflow_name: 工作流名称，如果不提供则从文件中读取或使用文件名
         tags: 工作流标签列表，默认为空列表
         published: 是否发布工作流，默认为False
+        description: 工作流描述，发布时使用
 
     Returns:
         Dict: API响应数据
@@ -75,6 +77,14 @@ def upload_workflow(
         print_status(f"工作流文件JSON解析失败: {e}", "error")
         return {"code": -1, "message": f"JSON解析失败: {e}"}
 
+    # 从 JSON 文件中提取 description 和 tags（作为 fallback）
+    if not description and "description" in workflow_data:
+        description = workflow_data["description"]
+        print_status(f"从文件中读取 description", "info")
+    if not tags and "tags" in workflow_data:
+        tags = workflow_data["tags"]
+        print_status(f"从文件中读取 tags: {tags}", "info")
+
     # 自动检测并转换格式
     if not _is_node_link_format(workflow_data):
         try:
@@ -96,6 +106,7 @@ def upload_workflow(
     print_status(f"  - 节点数量: {len(nodes)}", "info")
     print_status(f"  - 边数量: {len(edges)}", "info")
     print_status(f"  - 标签: {tags or []}", "info")
+    print_status(f"  - 描述: {description[:50]}{'...' if len(description) > 50 else ''}", "info")
     print_status(f"  - 发布状态: {published}", "info")
 
     # 调用 http_client 上传
@@ -107,6 +118,7 @@ def upload_workflow(
         edges=edges,
         tags=tags,
         published=published,
+        description=description,
     )
 
     if result.get("code") == 0:
@@ -131,8 +143,9 @@ def handle_workflow_upload_command(args_dict: Dict[str, Any]) -> None:
     workflow_name = args_dict.get("workflow_name")
     tags = args_dict.get("tags", [])
     published = args_dict.get("published", False)
+    description = args_dict.get("description", "")
 
     if workflow_file:
-        upload_workflow(workflow_file, workflow_name, tags, published)
+        upload_workflow(workflow_file, workflow_name, tags, published, description)
     else:
         print_status("未指定工作流文件路径，请使用 -f/--workflow_file 参数", "error")

unilabos_msgs/package.xml

@@ -2,7 +2,7 @@
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
   <name>unilabos_msgs</name>
-  <version>0.10.17</version>
+  <version>0.10.18</version>
   <description>ROS2 Messages package for unilabos devices</description>
   <maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer>
   <maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer>