Add workflow upload func.

test/workflow/merge_workflow.py

@@ -0,0 +1,35 @@
+import sys
+from datetime import datetime
+from pathlib import Path
+
+ROOT_DIR = Path(__file__).resolve().parents[2]
+if str(ROOT_DIR) not in sys.path:
+    sys.path.insert(0, str(ROOT_DIR))
+
+import pytest
+
+from unilabos.workflow.convert_from_json import (
+    convert_from_json,
+    normalize_steps as _normalize_steps,
+    normalize_labware as _normalize_labware,
+)
+from unilabos.workflow.common import draw_protocol_graph_with_ports
+
+
+@pytest.mark.parametrize(
+    "protocol_name",
+    [
+        "example_bio",
+        # "bioyond_materials_liquidhandling_1",
+        "example_prcxi",
+    ],
+)
+def test_build_protocol_graph(protocol_name):
+    data_path = Path(__file__).with_name(f"{protocol_name}.json")
+
+    graph = convert_from_json(data_path, workstation_name="PRCXi")
+
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M")
+    output_path = data_path.with_name(f"{protocol_name}_graph_{timestamp}.png")
+    draw_protocol_graph_with_ports(graph, str(output_path))
+    print(graph)

unilabos/app/main.py

@@ -20,6 +20,7 @@ if unilabos_dir not in sys.path:
 from unilabos.utils.banner_print import print_status, print_unilab_banner
 from unilabos.config.config import load_config, BasicConfig, HTTPConfig
 
+
 def load_config_from_file(config_path):
     if config_path is None:
         config_path = os.environ.get("UNILABOS_BASICCONFIG_CONFIG_PATH", None)
@@ -41,7 +42,7 @@ def convert_argv_dashes_to_underscores(args: argparse.ArgumentParser):
     for i, arg in enumerate(sys.argv):
         for option_string in option_strings:
             if arg.startswith(option_string):
-                new_arg = arg[:2] + arg[2:len(option_string)].replace("-", "_") + arg[len(option_string):]
+                new_arg = arg[:2] + arg[2 : len(option_string)].replace("-", "_") + arg[len(option_string) :]
                 sys.argv[i] = new_arg
                 break
 
@@ -155,14 +156,39 @@ def parse_args():
         default=False,
         help="Complete registry information",
     )
-
-    # label
+    # workflow upload subcommand
     workflow_parser = subparsers.add_parser(
         "workflow_upload",
+        aliases=["wf"],
         help="Upload workflow from xdl/json/python files",
     )
-    workflow_parser.add_argument("-t", "--labeltype", default="singlepoint", type=str,
-                              help="QM calculation type, support 'singlepoint', 'optimize' and 'dimer' currently")
+    workflow_parser.add_argument(
+        "-f",
+        "--workflow_file",
+        type=str,
+        required=True,
+        help="Path to the workflow file (JSON format)",
+    )
+    workflow_parser.add_argument(
+        "-n",
+        "--workflow_name",
+        type=str,
+        default=None,
+        help="Workflow name, if not provided will use the name from file or filename",
+    )
+    workflow_parser.add_argument(
+        "--tags",
+        type=str,
+        nargs="*",
+        default=[],
+        help="Tags for the workflow (space-separated)",
+    )
+    workflow_parser.add_argument(
+        "--published",
+        action="store_true",
+        default=False,
+        help="Whether to publish the workflow (default: False)",
+    )
     return parser
 
 
@@ -173,9 +199,6 @@ def main():
     convert_argv_dashes_to_underscores(args)
     args_dict = vars(args.parse_args())
 
-    # 显示启动横幅
-    print_unilab_banner(args_dict)
-
     # 环境检查 - 检查并自动安装必需的包 (可选)
     if not args_dict.get("skip_env_check", False):
         from unilabos.utils.environment_check import check_environment
@@ -254,18 +277,10 @@ def main():
         print_status("传入了sk参数，优先采用传入参数！", "info")
     BasicConfig.working_dir = working_dir
 
-    # 显示启动横幅
-    print_unilab_banner(args_dict)
+    workflow_upload = args_dict.get("command") in ("workflow_upload", "wf")
 
-    #####################################
-    ######## 启动设备接入端(主入口) ########
-    #####################################
-    launch(args_dict)
-
-
-def launch(args_dict: Dict[str, Any]):
     # 使用远程资源启动
-    if args_dict["use_remote_resource"]:
+    if not workflow_upload and args_dict["use_remote_resource"]:
         print_status("使用远程资源启动", "info")
         from unilabos.app.web import http_client
 
@@ -301,11 +316,36 @@ def launch(args_dict: Dict[str, Any]):
     from unilabos.resources.graphio import modify_to_backend_format
     from unilabos.ros.nodes.resource_tracker import ResourceTreeSet, ResourceDict
 
+    # 显示启动横幅
+    print_unilab_banner(args_dict)
+
     # 注册表
     lab_registry = build_registry(
-        args_dict["registry_path"], args_dict.get("complete_registry", False), args_dict["upload_registry"]
+        args_dict["registry_path"], args_dict.get("complete_registry", False), BasicConfig.upload_registry
     )
 
+    if BasicConfig.upload_registry:
+        # 设备注册到服务端 - 需要 ak 和 sk
+        if BasicConfig.ak and BasicConfig.sk:
+            print_status("开始注册设备到服务端...", "info")
+            try:
+                register_devices_and_resources(lab_registry)
+                print_status("设备注册完成", "info")
+            except Exception as e:
+                print_status(f"设备注册失败: {e}", "error")
+        else:
+            print_status("未提供 ak 和 sk，跳过设备注册", "info")
+    else:
+        print_status("本次启动注册表不报送云端，如果您需要联网调试，请在启动命令增加--upload_registry", "warning")
+
+    # 处理 workflow_upload 子命令
+    if workflow_upload:
+        from unilabos.workflow.wf_utils import handle_workflow_upload_command
+
+        handle_workflow_upload_command(args_dict)
+        print_status("工作流上传完成，程序退出", "info")
+        os._exit(0)
+
     if not BasicConfig.ak or not BasicConfig.sk:
         print_status("后续运行必须拥有一个实验室，请前往 https://uni-lab.bohrium.com 注册实验室！", "warning")
         os._exit(1)
@@ -382,20 +422,6 @@ def launch(args_dict: Dict[str, Any]):
     args_dict["devices_config"] = resource_tree_set
     args_dict["graph"] = graph_res.physical_setup_graph
 
-    if BasicConfig.upload_registry:
-        # 设备注册到服务端 - 需要 ak 和 sk
-        if BasicConfig.ak and BasicConfig.sk:
-            print_status("开始注册设备到服务端...", "info")
-            try:
-                register_devices_and_resources(lab_registry)
-                print_status("设备注册完成", "info")
-            except Exception as e:
-                print_status(f"设备注册失败: {e}", "error")
-        else:
-            print_status("未提供 ak 和 sk，跳过设备注册", "info")
-    else:
-        print_status("本次启动注册表不报送云端，如果您需要联网调试，请在启动命令增加--upload_registry", "warning")
-
     if args_dict["controllers"] is not None:
         args_dict["controllers_config"] = yaml.safe_load(open(args_dict["controllers"], encoding="utf-8"))
     else:
@@ -410,6 +436,7 @@ def launch(args_dict: Dict[str, Any]):
         comm_client = get_communication_client()
         if "websocket" in args_dict["app_bridges"]:
             args_dict["bridges"].append(comm_client)
+
             def _exit(signum, frame):
                 comm_client.stop()
                 sys.exit(0)
@@ -451,16 +478,13 @@ def launch(args_dict: Dict[str, Any]):
                 resource_visualization.start()
             except OSError as e:
                 if "AMENT_PREFIX_PATH" in str(e):
-                    print_status(
-                        f"ROS 2环境未正确设置，跳过3D可视化启动。错误详情: {e}",
-                        "warning"
-                    )
+                    print_status(f"ROS 2环境未正确设置，跳过3D可视化启动。错误详情: {e}", "warning")
                     print_status(
                         "建议解决方案：\n"
                         "1. 激活Conda环境: conda activate unilab\n"
                         "2. 或使用 --backend simple 参数\n"
                         "3. 或使用 --visual disable 参数禁用可视化",
-                        "info"
+                        "info",
                     )
                 else:
                     raise

unilabos/app/web/client.py

@@ -76,7 +76,8 @@ class HTTPClient:
             Dict[str, str]: 旧UUID到新UUID的映射关系 {old_uuid: new_uuid}
         """
         with open(os.path.join(BasicConfig.working_dir, "req_resource_tree_add.json"), "w", encoding="utf-8") as f:
-            f.write(json.dumps({"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}, indent=4))
+            payload = {"nodes": [x for xs in resources.dump() for x in xs], "mount_uuid": mount_uuid}
+            f.write(json.dumps(payload, indent=4))
         # 从序列化数据中提取所有节点的UUID（保存旧UUID）
         old_uuids = {n.res_content.uuid: n for n in resources.all_nodes}
         if not self.initialized or first_add:
@@ -331,6 +332,67 @@ class HTTPClient:
                 logger.error(f"响应内容: {response.text}")
         return None
 
+    def workflow_import(
+        self,
+        name: str,
+        workflow_uuid: str,
+        workflow_name: str,
+        nodes: List[Dict[str, Any]],
+        edges: List[Dict[str, Any]],
+        tags: Optional[List[str]] = None,
+        published: bool = False,
+    ) -> Dict[str, Any]:
+        """
+        导入工作流到服务器
+
+        Args:
+            name: 工作流名称（顶层）
+            workflow_uuid: 工作流UUID
+            workflow_name: 工作流名称（data内部）
+            nodes: 工作流节点列表
+            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
+
+        Returns:
+            Dict: API响应数据，包含 code 和 data (uuid, name)
+        """
+        # target_lab_uuid 暂时使用默认值，后续由后端根据 ak/sk 获取
+        payload = {
+            "target_lab_uuid": "28c38bb0-63f6-4352-b0d8-b5b8eb1766d5",
+            "name": name,
+            "data": {
+                "workflow_uuid": workflow_uuid,
+                "workflow_name": workflow_name,
+                "nodes": nodes,
+                "edges": edges,
+                "tags": tags if tags is not None else [],
+                "published": published,
+            },
+        }
+        # 保存请求到文件
+        with open(os.path.join(BasicConfig.working_dir, "req_workflow_upload.json"), "w", encoding="utf-8") as f:
+            f.write(json.dumps(payload, indent=4, ensure_ascii=False))
+
+        response = requests.post(
+            f"{self.remote_addr}/lab/workflow/owner/import",
+            json=payload,
+            headers={"Authorization": f"Lab {self.auth}"},
+            timeout=60,
+        )
+        # 保存响应到文件
+        with open(os.path.join(BasicConfig.working_dir, "res_workflow_upload.json"), "w", encoding="utf-8") as f:
+            f.write(f"{response.status_code}" + "\n" + response.text)
+
+        if response.status_code == 200:
+            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
+        else:
+            logger.error(f"导入工作流失败: {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/config/config.py

@@ -21,7 +21,8 @@ class BasicConfig:
     startup_json_path = None  # 填写绝对路径
     disable_browser = False  # 禁止浏览器自动打开
     port = 8002  # 本地HTTP服务
-    log_level: Literal['TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'] = "DEBUG"  # 'TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'
+    # 'TRACE', 'DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'
+    log_level: Literal["TRACE", "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] = "DEBUG"
 
     @classmethod
     def auth_secret(cls):
@@ -65,13 +66,14 @@ def _update_config_from_module(module):
                     if not attr.startswith("_"):
                         setattr(obj, attr, getattr(getattr(module, name), attr))
 
+
 def _update_config_from_env():
     prefix = "UNILABOS_"
     for env_key, env_value in os.environ.items():
         if not env_key.startswith(prefix):
             continue
         try:
-            key_path = env_key[len(prefix):]  # Remove UNILAB_ prefix
+            key_path = env_key[len(prefix) :]  # Remove UNILAB_ prefix
             class_field = key_path.upper().split("_", 1)
             if len(class_field) != 2:
                 logger.warning(f"[ENV] 环境变量格式不正确：{env_key}")

unilabos/registry/devices/liquid_handler.yaml

@@ -9333,7 +9333,34 @@ liquid_handler.prcxi:
           touch_tip: false
           use_channels:
           - 0
-        handles: {}
+        handles:
+          input:
+          - data_key: liquid
+            data_source: handle
+            data_type: resource
+            handler_key: sources
+            label: sources
+          - data_key: liquid
+            data_source: executor
+            data_type: resource
+            handler_key: targets
+            label: targets
+          - data_key: liquid
+            data_source: executor
+            data_type: resource
+            handler_key: tip_rack
+            label: tip_rack
+          output:
+          - data_key: liquid
+            data_source: handle
+            data_type: resource
+            handler_key: sources_out
+            label: sources
+          - data_key: liquid
+            data_source: executor
+            data_type: resource
+            handler_key: targets_out
+            label: targets
         placeholder_keys:
           sources: unilabos_resources
           targets: unilabos_resources

unilabos/ros/nodes/resource_tracker.py

@@ -66,8 +66,8 @@ 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")
-    extra: Dict[str, Any] = Field(description="Extra data")
+    data: Dict[str, Any] = Field(description="Resource data, eg: container liquid data")
+    extra: Dict[str, Any] = Field(description="Extra data, eg: slot index")
 
     @field_serializer("parent_uuid")
     def _serialize_parent(self, parent_uuid: Optional["ResourceDict"]):

unilabos/test/workflow/merge_workflow.py

@@ -1,94 +0,0 @@
-import json
-import sys
-from datetime import datetime
-from pathlib import Path
-
-ROOT_DIR = Path(__file__).resolve().parents[2]
-if str(ROOT_DIR) not in sys.path:
-    sys.path.insert(0, str(ROOT_DIR))
-
-import pytest
-
-from unilabos.workflow.common import build_protocol_graph, draw_protocol_graph, draw_protocol_graph_with_ports
-
-
-ROOT_DIR = Path(__file__).resolve().parents[2]
-if str(ROOT_DIR) not in sys.path:
-    sys.path.insert(0, str(ROOT_DIR))
-
-
-def _normalize_steps(data):
-    normalized = []
-    for step in data:
-        action = step.get("action") or step.get("operation")
-        if not action:
-            continue
-        raw_params = step.get("parameters") or step.get("action_args") or {}
-        params = dict(raw_params)
-
-        if "source" in raw_params and "sources" not in raw_params:
-            params["sources"] = raw_params["source"]
-        if "target" in raw_params and "targets" not in raw_params:
-            params["targets"] = raw_params["target"]
-
-        description = step.get("description") or step.get("purpose")
-        step_dict = {"action": action, "parameters": params}
-        if description:
-            step_dict["description"] = description
-        normalized.append(step_dict)
-    return normalized
-
-
-def _normalize_labware(data):
-    labware = {}
-    for item in data:
-        reagent_name = item.get("reagent_name")
-        key = reagent_name or item.get("material_name") or item.get("name")
-        if not key:
-            continue
-        key = str(key)
-        idx = 1
-        original_key = key
-        while key in labware:
-            idx += 1
-            key = f"{original_key}_{idx}"
-
-        labware[key] = {
-            "slot": item.get("positions") or item.get("slot"),
-            "labware": item.get("material_name") or item.get("labware"),
-            "well": item.get("well", []),
-            "type": item.get("type", "reagent"),
-            "role": item.get("role", ""),
-            "name": key,
-        }
-    return labware
-
-
-@pytest.mark.parametrize("protocol_name", [
-    "example_bio",
-    # "bioyond_materials_liquidhandling_1",
-    "example_prcxi",
-])
-def test_build_protocol_graph(protocol_name):
-    data_path = Path(__file__).with_name(f"{protocol_name}.json")
-    with data_path.open("r", encoding="utf-8") as fp:
-        d = json.load(fp)
-
-    if "workflow" in d and "reagent" in d:
-        protocol_steps = d["workflow"]
-        labware_info = d["reagent"]
-    elif "steps_info" in d and "labware_info" in d:
-        protocol_steps = _normalize_steps(d["steps_info"])
-        labware_info = _normalize_labware(d["labware_info"])
-    else:
-        raise ValueError("Unsupported protocol format")
-
-    graph = build_protocol_graph(
-        labware_info=labware_info,
-        protocol_steps=protocol_steps,
-        workstation_name="PRCXi",
-    )
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M")
-    output_path = data_path.with_name(f"{protocol_name}_graph_{timestamp}.png")
-    draw_protocol_graph_with_ports(graph, str(output_path))
-    print(graph)

unilabos/workflow/common.py

@@ -10,6 +10,7 @@ Json = Dict[str, Any]
 
 # ---------------- Graph ----------------
 
+
 class WorkflowGraph:
     """简单的有向图实现：使用 params 单层参数；inputs 内含连线；支持 node-link 导出"""
 
@@ -21,20 +22,31 @@ class WorkflowGraph:
         self.nodes[node_id] = attrs
 
     def add_edge(self, source: str, target: str, **attrs):
+        # 将 source_port/target_port 映射为服务端期望的 source_handle_key/target_handle_key
+        source_handle_key = attrs.pop("source_port", "") or attrs.pop("source_handle_key", "")
+        target_handle_key = attrs.pop("target_port", "") or attrs.pop("target_handle_key", "")
+
         edge = {
             "source": source,
             "target": target,
             "source_node_uuid": source,
             "target_node_uuid": target,
+            "source_handle_key": source_handle_key,
             "source_handle_io": attrs.pop("source_handle_io", "source"),
+            "target_handle_key": target_handle_key,
             "target_handle_io": attrs.pop("target_handle_io", "target"),
-            **attrs
+            **attrs,
         }
         self.edges.append(edge)
 
-    def _materialize_wiring_into_inputs(self, obj: Any, inputs: Dict[str, Any],
-                                        variable_sources: Dict[str, Dict[str, Any]],
-                                        target_node_id: str, base_path: List[str]):
+    def _materialize_wiring_into_inputs(
+        self,
+        obj: Any,
+        inputs: Dict[str, Any],
+        variable_sources: Dict[str, Dict[str, Any]],
+        target_node_id: str,
+        base_path: List[str],
+    ):
         has_var = False
 
         def walk(node: Any, path: List[str]):
@@ -48,9 +60,12 @@ class WorkflowGraph:
                     if src:
                         key = ".".join(path)  # e.g. "params.foo.bar.0"
                         inputs[key] = {"node": src["node_id"], "output": src.get("output_name", "result")}
-                        self.add_edge(str(src["node_id"]), target_node_id,
-                                      source_handle_io=src.get("output_name", "result"),
-                                      target_handle_io=key)
+                        self.add_edge(
+                            str(src["node_id"]),
+                            target_node_id,
+                            source_handle_io=src.get("output_name", "result"),
+                            target_handle_io=key,
+                        )
                     return placeholder
                 return {k: walk(v, path + [k]) for k, v in node.items()}
             if isinstance(node, list):
@@ -60,18 +75,20 @@ class WorkflowGraph:
         replaced = walk(obj, base_path[:])
         return replaced, has_var
 
-    def add_workflow_node(self,
-                          node_id: int,
-                          *,
-                          device_key: Optional[str] = None,          # 实例名，如 "ser"
-                          resource_name: Optional[str] = None,       # registry key（原 device_class）
-                          module: Optional[str] = None,
-                          template_name: Optional[str] = None,       # 动作/模板名（原 action_key）
-                          params: Dict[str, Any],
-                          variable_sources: Dict[str, Dict[str, Any]],
-                          add_ready_if_no_vars: bool = True,
-                          prev_node_id: Optional[int] = None,
-                          **extra_attrs) -> None:
+    def add_workflow_node(
+        self,
+        node_id: int,
+        *,
+        device_key: Optional[str] = None,  # 实例名，如 "ser"
+        resource_name: Optional[str] = None,  # registry key（原 device_class）
+        module: Optional[str] = None,
+        template_name: Optional[str] = None,  # 动作/模板名（原 action_key）
+        params: Dict[str, Any],
+        variable_sources: Dict[str, Dict[str, Any]],
+        add_ready_if_no_vars: bool = True,
+        prev_node_id: Optional[int] = None,
+        **extra_attrs,
+    ) -> None:
         """添加工作流节点：params 单层；自动变量连线与 ready 串联；支持附加属性"""
         node_id_str = str(node_id)
         inputs: Dict[str, Any] = {}
@@ -87,9 +104,9 @@ class WorkflowGraph:
 
         node_obj = {
             "device_key": device_key,
-            "resource_name": resource_name,   # ✅ 新名字
+            "resource_name": resource_name,  # ✅ 新名字
             "module": module,
-            "template_name": template_name,   # ✅ 新名字
+            "template_name": template_name,  # ✅ 新名字
             "params": params,
             "inputs": inputs,
         }
@@ -100,13 +117,13 @@ class WorkflowGraph:
     def to_dict(self) -> List[Dict[str, Any]]:
         result = []
         for node_id, attrs in self.nodes.items():
-            node = {"id": node_id}
+            node = {"uuid": node_id}
             params = dict(attrs.get("parameters", {}) or {})
             flat = {k: v for k, v in attrs.items() if k != "parameters"}
             flat.update(params)
             node.update(flat)
             result.append(node)
-        return sorted(result, key=lambda n: int(n["id"]) if str(n["id"]).isdigit() else n["id"])
+        return sorted(result, key=lambda n: int(n["uuid"]) if str(n["uuid"]).isdigit() else n["uuid"])
 
     # node-link 导出（含 edges）
     def to_node_link_dict(self) -> Dict[str, Any]:
@@ -115,12 +132,27 @@ class WorkflowGraph:
             node_attrs = attrs.copy()
             params = node_attrs.pop("parameters", {}) or {}
             node_attrs.update(params)
-            nodes_list.append({"id": node_id, **node_attrs})
-        return {"directed": True, "multigraph": False, "graph": {}, "nodes": nodes_list, "edges": self.edges, "links": self.edges}
+            nodes_list.append({"uuid": node_id, **node_attrs})
+        return {
+            "directed": True,
+            "multigraph": False,
+            "graph": {},
+            "nodes": nodes_list,
+            "edges": self.edges,
+            "links": self.edges,
+        }
 
 
-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"""
+def refactor_data(
+    data: List[Dict[str, Any]],
+    action_resource_mapping: Optional[Dict[str, str]] = None,
+) -> 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
+
+    Args:
+        data: 原始步骤数据列表
+        action_resource_mapping: action 到 resource_name 的映射字典，可选
+    """
     refactored_data = []
 
     # 定义操作映射，包含生物实验和有机化学的所有操作
@@ -157,43 +189,67 @@ def refactor_data(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
             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)
+                sub_data = refactor_data(sub_steps, action_resource_mapping)
                 refactored_data.extend(sub_data)
             continue
 
         # 获取模板名称
-        template = OPERATION_MAPPING.get(operation)
-        if not template:
+        template_name = OPERATION_MAPPING.get(operation)
+        if not template_name:
             # 自动推断模板类型
             if operation.lower() in ["transfer", "incubation", "move_labware", "oscillation"]:
-                template = f"biomek-{operation}"
+                template_name = f"biomek-{operation}"
             else:
-                template = f"{operation}Protocol"
+                template_name = f"{operation}Protocol"
+
+        # 获取 resource_name
+        resource_name = f"device.{operation.lower()}"
+        if action_resource_mapping:
+            resource_name = action_resource_mapping.get(operation, resource_name)
+
+        # 获取步骤编号，生成 name 字段
+        step_number = step.get("step_number")
+        name = f"Step {step_number}" if step_number is not None else None
 
         # 创建步骤数据
         step_data = {
-            "template": template,
+            "template_name": template_name,
+            "resource_name": resource_name,
             "description": step.get("description", step.get("purpose", f"{operation} operation")),
             "lab_node_type": "Device",
-            "parameters": step.get("parameters", step.get("action_args", {})),
+            "param": step.get("parameters", step.get("action_args", {})),
+            "footer": f"{template_name}-{resource_name}",
         }
+        if name:
+            step_data["name"] = name
         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
+    labware_info: List[Dict[str, Any]],
+    protocol_steps: List[Dict[str, Any]],
+    workstation_name: str,
+    action_resource_mapping: Optional[Dict[str, str]] = 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"""
+    """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
+        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
+    """
     G = WorkflowGraph()
     resource_last_writer = {}
 
-    protocol_steps = refactor_data(protocol_steps)
+    protocol_steps = refactor_data(protocol_steps, action_resource_mapping)
     # 有机化学&移液站协议图构建
     WORKSTATION_ID = workstation_name
 
     # 为所有labware创建资源节点
+    res_index = 0
     for labware_id, item in labware_info.items():
         # item_id = item.get("id") or item.get("name", f"item_{uuid.uuid4()}")
         node_id = str(uuid.uuid4())
@@ -217,13 +273,16 @@ def build_protocol_graph(
             liquid_type = [labware_id]
             liquid_volume = [1e5]
 
+        res_index += 1
         G.add_node(
             node_id,
-            template_name=f"create_resource",
+            template_name="create_resource",
             resource_name="host_node",
+            name=f"Res {res_index}",
             description=description,
             lab_node_type=lab_node_type,
-            params={
+            footer="create_resource-host_node",
+            param={
                 "res_id": labware_id,
                 "device_id": WORKSTATION_ID,
                 "class_name": "container",
@@ -234,7 +293,6 @@ def build_protocol_graph(
                 "liquid_volume": liquid_volume,
                 "slot_on_deck": "",
             },
-            role=item.get("role", ""),
         )
         resource_last_writer[labware_id] = f"{node_id}:labware"
 
@@ -251,7 +309,7 @@ def build_protocol_graph(
         last_control_node_id = node_id
 
         # 物料流
-        params = step.get("parameters", {})
+        params = step.get("param", {})
         input_resources_possible_names = [
             "vessel",
             "to_vessel",
@@ -299,7 +357,7 @@ def draw_protocol_graph(protocol_graph: WorkflowGraph, output_path: str):
     G = nx.DiGraph()
 
     for node_id, attrs in protocol_graph.nodes.items():
-        label = attrs.get("description", attrs.get("template", node_id[:8]))
+        label = attrs.get("description", attrs.get("template_name", node_id[:8]))
         G.add_node(node_id, label=label, **attrs)
 
     for edge in protocol_graph.edges:
@@ -331,11 +389,13 @@ def draw_protocol_graph(protocol_graph: WorkflowGraph, output_path: str):
     print(f"  - Visualization saved to '{output_path}'")
 
 
-COMPASS = {"n","e","s","w","ne","nw","se","sw","c"}
+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。
@@ -350,22 +410,22 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
     # 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]))
+        label = attrs.get("description", attrs.get("template_name", 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",)})
+        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
+    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")
+        sp = edge.get("source_handle_key") or edge.get("source_port")
+        tp = edge.get("target_handle_key") or 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)
+        G.add_edge(u, v, source_handle_key=sp, target_handle_key=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
@@ -377,7 +437,9 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
     # 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.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
@@ -386,18 +448,19 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
         node = A.get_node(n)
         core = G.nodes[n].get("_core_label", n)
 
-        in_ports  = sorted(in_ports_by_node.get(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)
+            left = port_fields(in_ports)
             right = port_fields(out_ports)
 
             # 三栏：左(入) | 中(节点名) | 右(出)
@@ -410,7 +473,7 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
     # 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:
+    for u, v, sp, tp in edges_data:
         e = A.get_edge(u, v)
 
         # Graphviz 属性：tail 是源，head 是目标
@@ -419,13 +482,13 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
                 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))
+                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))
+                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"
@@ -433,11 +496,14 @@ def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: st
     # 5) 输出
     A.draw(output_path, prog="dot")
     print(f"  - Port-aware workflow rendered to '{output_path}'")
+
+
 # ---------------- Registry Adapter ----------------
 
 
 class RegistryAdapter:
     """根据 module 的类名（冒号右侧）反查 registry 的 resource_name（原 device_class），并抽取参数顺序"""
+
     def __init__(self, device_registry: Dict[str, Any]):
         self.device_registry = device_registry or {}
         self.module_class_to_resource = self._build_module_class_index()
@@ -455,8 +521,7 @@ class RegistryAdapter:
     def resolve_resource_by_classname(self, class_name: str) -> Optional[str]:
         if not class_name:
             return None
-        return (self.module_class_to_resource.get(class_name)
-                or self.module_class_to_resource.get(class_name.lower()))
+        return self.module_class_to_resource.get(class_name) or self.module_class_to_resource.get(class_name.lower())
 
     def get_device_module(self, resource_name: Optional[str]) -> Optional[str]:
         if not resource_name:
@@ -466,9 +531,7 @@ class RegistryAdapter:
     def get_actions(self, resource_name: Optional[str]) -> Dict[str, Any]:
         if not resource_name:
             return {}
-        return (self.device_registry.get(resource_name, {})
-                .get("class", {})
-                .get("action_value_mappings", {})) or {}
+        return (self.device_registry.get(resource_name, {}).get("class", {}).get("action_value_mappings", {})) or {}
 
     def get_action_schema(self, resource_name: Optional[str], template_name: str) -> Optional[Json]:
         return (self.get_actions(resource_name).get(template_name) or {}).get("schema")

unilabos/workflow/convert_from_json.py

@@ -0,0 +1,356 @@
+"""
+JSON 工作流转换模块
+
+提供从多种 JSON 格式转换为统一工作流格式的功能。
+支持的格式：
+1. workflow/reagent 格式
+2. steps_info/labware_info 格式
+"""
+
+import json
+from os import PathLike
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Set, Tuple, Union
+
+from unilabos.workflow.common import WorkflowGraph, build_protocol_graph
+from unilabos.registry.registry import lab_registry
+
+
+def get_action_handles(resource_name: str, template_name: str) -> Dict[str, List[str]]:
+    """
+    从 registry 获取指定设备和动作的 handles 配置
+
+    Args:
+        resource_name: 设备资源名称，如 "liquid_handler.prcxi"
+        template_name: 动作模板名称，如 "transfer_liquid"
+
+    Returns:
+        包含 source 和 target handler_keys 的字典:
+        {"source": ["sources_out", "targets_out", ...], "target": ["sources", "targets", ...]}
+    """
+    result = {"source": [], "target": []}
+
+    device_info = lab_registry.device_type_registry.get(resource_name, {})
+    if not device_info:
+        return result
+
+    action_mappings = device_info.get("class", {}).get("action_value_mappings", {})
+    action_config = action_mappings.get(template_name, {})
+    handles = action_config.get("handles", {})
+
+    if isinstance(handles, dict):
+        # 处理 input handles (作为 target)
+        for handle in handles.get("input", []):
+            handler_key = handle.get("handler_key", "")
+            if handler_key:
+                result["source"].append(handler_key)
+        # 处理 output handles (作为 source)
+        for handle in handles.get("output", []):
+            handler_key = handle.get("handler_key", "")
+            if handler_key:
+                result["target"].append(handler_key)
+
+    return result
+
+
+def validate_workflow_handles(graph: WorkflowGraph) -> Tuple[bool, List[str]]:
+    """
+    校验工作流图中所有边的句柄配置是否正确
+
+    Args:
+        graph: 工作流图对象
+
+    Returns:
+        (is_valid, errors): 是否有效，错误信息列表
+    """
+    errors = []
+    nodes = graph.nodes
+
+    for edge in graph.edges:
+        left_uuid = edge.get("source")
+        right_uuid = edge.get("target")
+        # target_handle_key是target, right的输入节点（入节点）
+        # source_handle_key是source, left的输出节点（出节点）
+        right_source_conn_key = edge.get("target_handle_key", "")
+        left_target_conn_key = edge.get("source_handle_key", "")
+
+        # 获取源节点和目标节点信息
+        left_node = nodes.get(left_uuid, {})
+        right_node = nodes.get(right_uuid, {})
+
+        left_res_name = left_node.get("resource_name", "")
+        left_template_name = left_node.get("template_name", "")
+        right_res_name = right_node.get("resource_name", "")
+        right_template_name = right_node.get("template_name", "")
+
+        # 获取源节点的 output handles
+        left_node_handles = get_action_handles(left_res_name, left_template_name)
+        target_valid_keys = left_node_handles.get("target", [])
+        target_valid_keys.append("ready")
+
+        # 获取目标节点的 input handles
+        right_node_handles = get_action_handles(right_res_name, right_template_name)
+        source_valid_keys = right_node_handles.get("source", [])
+        source_valid_keys.append("ready")
+
+        # 如果节点配置了 output handles，则 source_port 必须有效
+        if not right_source_conn_key:
+            node_name = left_node.get("name", left_uuid[:8])
+            errors.append(f"源节点 '{node_name}' 的 source_handle_key 为空，" f"应设置为: {source_valid_keys}")
+        elif right_source_conn_key not in source_valid_keys:
+            node_name = left_node.get("name", left_uuid[:8])
+            errors.append(
+                f"源节点 '{node_name}' 的 source 端点 '{right_source_conn_key}' 不存在，" f"支持的端点: {source_valid_keys}"
+            )
+
+        # 如果节点配置了 input handles，则 target_port 必须有效
+        if not left_target_conn_key:
+            node_name = right_node.get("name", right_uuid[:8])
+            errors.append(f"目标节点 '{node_name}' 的 target_handle_key 为空，" f"应设置为: {target_valid_keys}")
+        elif left_target_conn_key not in target_valid_keys:
+            node_name = right_node.get("name", right_uuid[:8])
+            errors.append(
+                f"目标节点 '{node_name}' 的 target 端点 '{left_target_conn_key}' 不存在，"
+                f"支持的端点: {target_valid_keys}"
+            )
+
+    return len(errors) == 0, errors
+
+
+# action 到 resource_name 的映射
+ACTION_RESOURCE_MAPPING: Dict[str, str] = {
+    # 生物实验操作
+    "transfer_liquid": "liquid_handler.prcxi",
+    "transfer": "liquid_handler.prcxi",
+    "incubation": "incubator.prcxi",
+    "move_labware": "labware_mover.prcxi",
+    "oscillation": "shaker.prcxi",
+    # 有机化学操作
+    "HeatChillToTemp": "heatchill.chemputer",
+    "StopHeatChill": "heatchill.chemputer",
+    "StartHeatChill": "heatchill.chemputer",
+    "HeatChill": "heatchill.chemputer",
+    "Dissolve": "stirrer.chemputer",
+    "Transfer": "liquid_handler.chemputer",
+    "Evaporate": "rotavap.chemputer",
+    "Recrystallize": "reactor.chemputer",
+    "Filter": "filter.chemputer",
+    "Dry": "dryer.chemputer",
+    "Add": "liquid_handler.chemputer",
+}
+
+
+def normalize_steps(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+    """
+    将不同格式的步骤数据规范化为统一格式
+
+    支持的输入格式：
+    - action + parameters
+    - action + action_args
+    - operation + parameters
+
+    Args:
+        data: 原始步骤数据列表
+
+    Returns:
+        规范化后的步骤列表，格式为 [{"action": str, "parameters": dict, "description": str?, "step_number": int?}, ...]
+    """
+    normalized = []
+    for idx, step in enumerate(data):
+        # 获取动作名称（支持 action 或 operation 字段）
+        action = step.get("action") or step.get("operation")
+        if not action:
+            continue
+
+        # 获取参数（支持 parameters 或 action_args 字段）
+        raw_params = step.get("parameters") or step.get("action_args") or {}
+        params = dict(raw_params)
+
+        # 规范化 source/target -> sources/targets
+        if "source" in raw_params and "sources" not in raw_params:
+            params["sources"] = raw_params["source"]
+        if "target" in raw_params and "targets" not in raw_params:
+            params["targets"] = raw_params["target"]
+
+        # 获取描述（支持 description 或 purpose 字段）
+        description = step.get("description") or step.get("purpose")
+
+        # 获取步骤编号（优先使用原始数据中的 step_number，否则使用索引+1）
+        step_number = step.get("step_number", idx + 1)
+
+        step_dict = {"action": action, "parameters": params, "step_number": step_number}
+        if description:
+            step_dict["description"] = description
+
+        normalized.append(step_dict)
+
+    return normalized
+
+
+def normalize_labware(data: List[Dict[str, Any]]) -> Dict[str, Dict[str, Any]]:
+    """
+    将不同格式的 labware 数据规范化为统一的字典格式
+
+    支持的输入格式：
+    - reagent_name + material_name + positions
+    - name + labware + slot
+
+    Args:
+        data: 原始 labware 数据列表
+
+    Returns:
+        规范化后的 labware 字典，格式为 {name: {"slot": int, "labware": str, "well": list, "type": str, "role": str, "name": str}, ...}
+    """
+    labware = {}
+    for item in data:
+        # 获取 key 名称（优先使用 reagent_name，其次是 material_name 或 name）
+        reagent_name = item.get("reagent_name")
+        key = reagent_name or item.get("material_name") or item.get("name")
+        if not key:
+            continue
+
+        key = str(key)
+
+        # 处理重复 key，自动添加后缀
+        idx = 1
+        original_key = key
+        while key in labware:
+            idx += 1
+            key = f"{original_key}_{idx}"
+
+        labware[key] = {
+            "slot": item.get("positions") or item.get("slot"),
+            "labware": item.get("material_name") or item.get("labware"),
+            "well": item.get("well", []),
+            "type": item.get("type", "reagent"),
+            "role": item.get("role", ""),
+            "name": key,
+        }
+
+    return labware
+
+
+def convert_from_json(
+    data: Union[str, PathLike, Dict[str, Any]],
+    workstation_name: str = "PRCXi",
+    validate: bool = True,
+) -> WorkflowGraph:
+    """
+    从 JSON 数据或文件转换为 WorkflowGraph
+
+    支持的 JSON 格式：
+    1. {"workflow": [...], "reagent": {...}} - 直接格式
+    2. {"steps_info": [...], "labware_info": [...]} - 需要规范化的格式
+
+    Args:
+        data: JSON 文件路径、字典数据、或 JSON 字符串
+        workstation_name: 工作站名称，默认 "PRCXi"
+        validate: 是否校验句柄配置，默认 True
+
+    Returns:
+        WorkflowGraph: 构建好的工作流图
+
+    Raises:
+        ValueError: 不支持的 JSON 格式 或 句柄校验失败
+        FileNotFoundError: 文件不存在
+        json.JSONDecodeError: JSON 解析失败
+    """
+    # 处理输入数据
+    if isinstance(data, (str, PathLike)):
+        path = Path(data)
+        if path.exists():
+            with path.open("r", encoding="utf-8") as fp:
+                json_data = json.load(fp)
+        elif isinstance(data, str):
+            # 尝试作为 JSON 字符串解析
+            json_data = json.loads(data)
+        else:
+            raise FileNotFoundError(f"文件不存在: {data}")
+    elif isinstance(data, dict):
+        json_data = data
+    else:
+        raise TypeError(f"不支持的数据类型: {type(data)}")
+
+    # 根据格式解析数据
+    if "workflow" in json_data and "reagent" in json_data:
+        # 格式1: workflow/reagent（已经是规范格式）
+        protocol_steps = json_data["workflow"]
+        labware_info = json_data["reagent"]
+    elif "steps_info" in json_data and "labware_info" in json_data:
+        # 格式2: steps_info/labware_info（需要规范化）
+        protocol_steps = normalize_steps(json_data["steps_info"])
+        labware_info = normalize_labware(json_data["labware_info"])
+    elif "steps" in json_data and "labware" in json_data:
+        # 格式3: steps/labware（另一种常见格式）
+        protocol_steps = normalize_steps(json_data["steps"])
+        if isinstance(json_data["labware"], list):
+            labware_info = normalize_labware(json_data["labware"])
+        else:
+            labware_info = json_data["labware"]
+    else:
+        raise ValueError(
+            "不支持的 JSON 格式。支持的格式：\n"
+            "1. {'workflow': [...], 'reagent': {...}}\n"
+            "2. {'steps_info': [...], 'labware_info': [...]}\n"
+            "3. {'steps': [...], 'labware': [...]}"
+        )
+
+    # 构建工作流图
+    graph = build_protocol_graph(
+        labware_info=labware_info,
+        protocol_steps=protocol_steps,
+        workstation_name=workstation_name,
+        action_resource_mapping=ACTION_RESOURCE_MAPPING,
+    )
+
+    # 校验句柄配置
+    if validate:
+        is_valid, errors = validate_workflow_handles(graph)
+        if not is_valid:
+            import warnings
+
+            for error in errors:
+                warnings.warn(f"句柄校验警告: {error}")
+
+    return graph
+
+
+def convert_json_to_node_link(
+    data: Union[str, PathLike, Dict[str, Any]],
+    workstation_name: str = "PRCXi",
+) -> Dict[str, Any]:
+    """
+    将 JSON 数据转换为 node-link 格式的字典
+
+    Args:
+        data: JSON 文件路径、字典数据、或 JSON 字符串
+        workstation_name: 工作站名称，默认 "PRCXi"
+
+    Returns:
+        Dict: node-link 格式的工作流数据
+    """
+    graph = convert_from_json(data, workstation_name)
+    return graph.to_node_link_dict()
+
+
+def convert_json_to_workflow_list(
+    data: Union[str, PathLike, Dict[str, Any]],
+    workstation_name: str = "PRCXi",
+) -> List[Dict[str, Any]]:
+    """
+    将 JSON 数据转换为工作流列表格式
+
+    Args:
+        data: JSON 文件路径、字典数据、或 JSON 字符串
+        workstation_name: 工作站名称，默认 "PRCXi"
+
+    Returns:
+        List: 工作流节点列表
+    """
+    graph = convert_from_json(data, workstation_name)
+    return graph.to_dict()
+
+
+# 为了向后兼容，保留下划线前缀的别名
+_normalize_steps = normalize_steps
+_normalize_labware = normalize_labware

unilabos/workflow/from_labwares_and_steps.py

@@ -1,24 +0,0 @@
-import json
-from os import PathLike
-
-from unilabos.workflow.common import build_protocol_graph
-
-
-def from_labwares_and_steps(data_path: PathLike):
-    with data_path.open("r", encoding="utf-8") as fp:
-        d = json.load(fp)
-
-    if "workflow" in d and "reagent" in d:
-        protocol_steps = d["workflow"]
-        labware_info = d["reagent"]
-    elif "steps_info" in d and "labware_info" in d:
-        protocol_steps = _normalize_steps(d["steps_info"])
-        labware_info = _normalize_labware(d["labware_info"])
-    else:
-        raise ValueError("Unsupported protocol format")
-
-    graph = build_protocol_graph(
-        labware_info=labware_info,
-        protocol_steps=protocol_steps,
-        workstation_name="PRCXi",
-    )

unilabos/workflow/wf_utils.py

@@ -0,0 +1,138 @@
+"""
+工作流工具模块
+
+提供工作流上传等功能
+"""
+
+import json
+import os
+import uuid
+from typing import Any, Dict, List, Optional
+
+from unilabos.utils.banner_print import print_status
+
+
+def _is_node_link_format(data: Dict[str, Any]) -> bool:
+    """检查数据是否为 node-link 格式"""
+    return "nodes" in data and "edges" in data
+
+
+def _convert_to_node_link(workflow_file: str, workflow_data: Dict[str, Any]) -> Dict[str, Any]:
+    """
+    将非 node-link 格式的工作流数据转换为 node-link 格式
+
+    Args:
+        workflow_file: 工作流文件路径（用于日志）
+        workflow_data: 原始工作流数据
+
+    Returns:
+        node-link 格式的工作流数据
+    """
+    from unilabos.workflow.convert_from_json import convert_json_to_node_link
+
+    print_status(f"检测到非 node-link 格式，正在转换...", "info")
+    node_link_data = convert_json_to_node_link(workflow_data)
+    print_status(f"转换完成", "success")
+    return node_link_data
+
+
+def upload_workflow(
+    workflow_file: str,
+    workflow_name: Optional[str] = None,
+    tags: Optional[List[str]] = None,
+    published: bool = False,
+) -> Dict[str, Any]:
+    """
+    上传工作流到服务器
+
+    支持的输入格式：
+    1. node-link 格式: {"nodes": [...], "edges": [...]}
+    2. workflow/reagent 格式: {"workflow": [...], "reagent": {...}}
+    3. steps_info/labware_info 格式: {"steps_info": [...], "labware_info": [...]}
+    4. steps/labware 格式: {"steps": [...], "labware": [...]}
+
+    Args:
+        workflow_file: 工作流文件路径（JSON格式）
+        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
+
+    Returns:
+        Dict: API响应数据
+    """
+    # 延迟导入，避免在配置文件加载之前初始化 http_client
+    from unilabos.app.web import http_client
+
+    if not os.path.exists(workflow_file):
+        print_status(f"工作流文件不存在: {workflow_file}", "error")
+        return {"code": -1, "message": f"文件不存在: {workflow_file}"}
+
+    # 读取工作流文件
+    try:
+        with open(workflow_file, "r", encoding="utf-8") as f:
+            workflow_data = json.load(f)
+    except json.JSONDecodeError as e:
+        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}"}
+
+    # 自动检测并转换格式
+    if not _is_node_link_format(workflow_data):
+        try:
+            workflow_data = _convert_to_node_link(workflow_file, workflow_data)
+        except Exception as e:
+            print_status(f"工作流格式转换失败: {e}", "error")
+            return {"code": -1, "message": f"格式转换失败: {e}"}
+
+    # 提取工作流数据
+    nodes = workflow_data.get("nodes", [])
+    edges = workflow_data.get("edges", [])
+    workflow_uuid_val = workflow_data.get("workflow_uuid", str(uuid.uuid4()))
+    wf_name_from_file = workflow_data.get("workflow_name", os.path.basename(workflow_file).replace(".json", ""))
+
+    # 确定工作流名称
+    final_name = workflow_name or wf_name_from_file
+
+    print_status(f"正在上传工作流: {final_name}", "info")
+    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"  - 发布状态: {published}", "info")
+
+    # 调用 http_client 上传
+    result = http_client.workflow_import(
+        name=final_name,
+        workflow_uuid=workflow_uuid_val,
+        workflow_name=final_name,
+        nodes=nodes,
+        edges=edges,
+        tags=tags,
+        published=published,
+    )
+
+    if result.get("code") == 0:
+        data = result.get("data", {})
+        print_status("工作流上传成功！", "success")
+        print_status(f"  - UUID: {data.get('uuid', 'N/A')}", "info")
+        print_status(f"  - 名称: {data.get('name', 'N/A')}", "info")
+    else:
+        print_status(f"工作流上传失败: {result.get('message', '未知错误')}", "error")
+
+    return result
+
+
+def handle_workflow_upload_command(args_dict: Dict[str, Any]) -> None:
+    """
+    处理 workflow_upload 子命令
+
+    Args:
+        args_dict: 命令行参数字典
+    """
+    workflow_file = args_dict.get("workflow_file")
+    workflow_name = args_dict.get("workflow_name")
+    tags = args_dict.get("tags", [])
+    published = args_dict.get("published", False)
+
+    if workflow_file:
+        upload_workflow(workflow_file, workflow_name, tags, published)
+    else:
+        print_status("未指定工作流文件路径，请使用 -f/--workflow_file 参数", "error")