fix upload workflow json

tests/workflow/test.json

@@ -0,0 +1,213 @@
+{
+  "workflow": [
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines",
+        "targets": "Liquid_1",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines",
+        "targets": "Liquid_2",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines",
+        "targets": "Liquid_3",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_2",
+        "targets": "Liquid_4",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_2",
+        "targets": "Liquid_5",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_2",
+        "targets": "Liquid_6",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_3",
+        "targets": "dest_set",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_3",
+        "targets": "dest_set_2",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_3",
+        "targets": "dest_set_3",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    }
+  ],
+  "reagent": {
+    "Liquid_1": {
+      "slot": 1,
+      "well": [
+        "A4",
+        "A7",
+        "A10"
+      ],
+      "labware": "rep 1"
+    },
+    "Liquid_4": {
+      "slot": 1,
+      "well": [
+        "A4",
+        "A7",
+        "A10"
+      ],
+      "labware": "rep 1"
+    },
+    "dest_set": {
+      "slot": 1,
+      "well": [
+        "A4",
+        "A7",
+        "A10"
+      ],
+      "labware": "rep 1"
+    },
+    "Liquid_2": {
+      "slot": 2,
+      "well": [
+        "A3",
+        "A5",
+        "A8"
+      ],
+      "labware": "rep 2"
+    },
+    "Liquid_5": {
+      "slot": 2,
+      "well": [
+        "A3",
+        "A5",
+        "A8"
+      ],
+      "labware": "rep 2"
+    },
+    "dest_set_2": {
+      "slot": 2,
+      "well": [
+        "A3",
+        "A5",
+        "A8"
+      ],
+      "labware": "rep 2"
+    },
+    "Liquid_3": {
+      "slot": 3,
+      "well": [
+        "A4",
+        "A6",
+        "A10"
+      ],
+      "labware": "rep 3"
+    },
+    "Liquid_6": {
+      "slot": 3,
+      "well": [
+        "A4",
+        "A6",
+        "A10"
+      ],
+      "labware": "rep 3"
+    },
+    "dest_set_3": {
+      "slot": 3,
+      "well": [
+        "A4",
+        "A6",
+        "A10"
+      ],
+      "labware": "rep 3"
+    },
+    "cell_lines": {
+      "slot": 4,
+      "well": [
+        "A1",
+        "A3",
+        "A5"
+      ],
+      "labware": "DRUG + YOYO-MEDIA"
+    },
+    "cell_lines_2": {
+      "slot": 4,
+      "well": [
+        "A1",
+        "A3",
+        "A5"
+      ],
+      "labware": "DRUG + YOYO-MEDIA"
+    },
+    "cell_lines_3": {
+      "slot": 4,
+      "well": [
+        "A1",
+        "A3",
+        "A5"
+      ],
+      "labware": "DRUG + YOYO-MEDIA"
+    }
+  }
+}

unilabos/app/web/client.py

@@ -361,7 +361,7 @@ class HTTPClient:
         """
         # 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",
+            "target_lab_uuid": "cf44e98c-7f3e-4175-b526-1fa338b43f65",
             "name": name,
             "data": {
                 "workflow_uuid": workflow_uuid,

unilabos/workflow/common.py

@@ -8,6 +8,20 @@ from typing import Dict, List, Any, Tuple, Optional
 
 Json = Dict[str, Any]
 
+
+# ==================== 默认配置 ====================
+
+# create_resource 节点默认参数
+CREATE_RESOURCE_DEFAULTS = {
+    "device_id": "/PRCXI",
+    "parent": "/PRCXI/PRCXI_Deck",
+    "class_name": "PRCXI_BioER_96_wellplate",
+}
+
+# 默认液体体积 (uL)
+DEFAULT_LIQUID_VOLUME = 1e5
+
+
 # ---------------- Graph ----------------
 
 
@@ -228,7 +242,7 @@ def refactor_data(
 
 
 def build_protocol_graph(
-    labware_info: List[Dict[str, Any]],
+    labware_info: Dict[str, Dict[str, Any]],
     protocol_steps: List[Dict[str, Any]],
     workstation_name: str,
     action_resource_mapping: Optional[Dict[str, str]] = None,
@@ -236,7 +250,7 @@ def build_protocol_graph(
     """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
+        labware_info: labware 信息字典，格式为 {name: {slot, well, labware, ...}, ...}
         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
@@ -251,13 +265,21 @@ def build_protocol_graph(
     # 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())
 
+        # res_id 不能有空格，替换为下划线
+        res_id = str(labware_id).replace(" ", "_")
+
+        # 从 reagent 数据中获取 well 信息
+        wells = item.get("well", [])
+        slot = str(item.get("slot", ""))  # slot_on_deck 是字符串
+        well_count = len(wells) if wells else 1
+
         # 判断节点类型
         if "Rack" in str(labware_id) or "Tip" in str(labware_id):
             lab_node_type = "Labware"
             description = f"Prepare Labware: {labware_id}"
+            liquid_input_slot = wells if wells else [-1]
             liquid_type = []
             liquid_volume = []
         elif item.get("type") == "hardware" or "reactor" in str(labware_id).lower():
@@ -265,13 +287,16 @@ def build_protocol_graph(
                 continue
             lab_node_type = "Sample"
             description = f"Prepare Reactor: {labware_id}"
+            liquid_input_slot = wells if wells else [-1]
             liquid_type = []
             liquid_volume = []
         else:
             lab_node_type = "Reagent"
             description = f"Add Reagent to Flask: {labware_id}"
-            liquid_type = [labware_id]
+            # liquid_input_slot, liquid_type, liquid_volume 数量与 wells 保持一致
-            liquid_volume = [1e5]
+            liquid_input_slot = wells if wells else [-1]
+            liquid_type = [res_id] * well_count
+            liquid_volume = [DEFAULT_LIQUID_VOLUME] * well_count
 
         res_index += 1
         G.add_node(
@@ -283,21 +308,46 @@ def build_protocol_graph(
             lab_node_type=lab_node_type,
             footer="create_resource-host_node",
             param={
-                "res_id": labware_id,
+                "res_id": res_id,
-                "device_id": WORKSTATION_ID,
+                "device_id": CREATE_RESOURCE_DEFAULTS["device_id"],
-                "class_name": "container",
+                "class_name": CREATE_RESOURCE_DEFAULTS["class_name"],
-                "parent": WORKSTATION_ID,
+                "parent": CREATE_RESOURCE_DEFAULTS["parent"],
                 "bind_locations": {"x": 0.0, "y": 0.0, "z": 0.0},
-                "liquid_input_slot": [-1],
+                "liquid_input_slot": liquid_input_slot,
                 "liquid_type": liquid_type,
                 "liquid_volume": liquid_volume,
-                "slot_on_deck": "",
+                "slot_on_deck": slot,
             },
         )
-        resource_last_writer[labware_id] = f"{node_id}:labware"
+        # create_resource 节点输出 liquid_slots，用于连接 transfer_liquid 的 sources/targets
+        resource_last_writer[labware_id] = f"{node_id}:liquid_slots"
 
     last_control_node_id = None
 
+    # 端口名称映射：JSON 字段名 -> 实际 handle key
+    INPUT_PORT_MAPPING = {
+        "sources": "sources_identifier",
+        "targets": "targets_identifier",
+        "vessel": "vessel",
+        "to_vessel": "to_vessel",
+        "from_vessel": "from_vessel",
+        "reagent": "reagent",
+        "solvent": "solvent",
+        "compound": "compound",
+    }
+
+    OUTPUT_PORT_MAPPING = {
+        "sources": "sources_out",  # 输出端口是 xxx_out
+        "targets": "targets_out",  # 输出端口是 xxx_out
+        "vessel": "vessel_out",
+        "to_vessel": "to_vessel_out",
+        "from_vessel": "from_vessel_out",
+        "filtrate_vessel": "filtrate_out",
+        "reagent": "reagent",
+        "solvent": "solvent",
+        "compound": "compound",
+    }
+
     # 处理协议步骤
     for step in protocol_steps:
         node_id = str(uuid.uuid4())
@@ -310,38 +360,19 @@ def build_protocol_graph(
 
         # 物料流
         params = step.get("param", {})
-        input_resources_possible_names = [
-            "vessel",
-            "to_vessel",
-            "from_vessel",
-            "reagent",
-            "solvent",
-            "compound",
-            "sources",
-            "targets",
-        ]
 
-        for target_port in input_resources_possible_names:
+        # 处理输入连接
-            resource_name = params.get(target_port)
+        for param_key, target_port in INPUT_PORT_MAPPING.items():
+            resource_name = params.get(param_key)
             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 = {
+        # 处理输出：更新 resource_last_writer
-            "vessel_out": params.get("vessel"),
+        for param_key, output_port in OUTPUT_PORT_MAPPING.items():
-            "from_vessel_out": params.get("from_vessel"),
+            resource_name = params.get(param_key)
-            "to_vessel_out": params.get("to_vessel"),
-            "filtrate_out": 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}"
+                resource_last_writer[resource_name] = f"{node_id}:{output_port}"
 
     return G
 

unilabos/workflow/convert_from_json.py

@@ -1,21 +1,68 @@
 """
 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。
+将 workflow/reagent 格式的 JSON 转换为统一工作流格式。
-支持的格式：
+
-1. workflow/reagent 格式
+输入格式:
-2. steps_info/labware_info 格式
+{
+    "workflow": [
+        {"action": "...", "action_args": {...}},
+        ...
+    ],
+    "reagent": {
+        "reagent_name": {"slot": int, "well": [...], "labware": "..."},
+        ...
+    }
+}
 """
 
 import json
 from os import PathLike
 from pathlib import Path
-from typing import Any, Dict, List, Optional, Set, Tuple, Union
+from typing import Any, Dict, List, Optional, Tuple, Union
 
 from unilabos.workflow.common import WorkflowGraph, build_protocol_graph
 from unilabos.registry.registry import lab_registry
 
 
+# ==================== 字段映射配置 ====================
+
+# 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",
+}
+
+# action_args 字段到 parameters 字段的映射
+# 格式: {"old_key": "new_key"}, 仅映射需要重命名的字段
+ARGS_FIELD_MAPPING: Dict[str, str] = {
+    # 如果需要字段重命名，在这里配置
+    # "old_field_name": "new_field_name",
+}
+
+# 默认工作站名称
+DEFAULT_WORKSTATION = "PRCXI"
+
+
+# ==================== 核心转换函数 ====================
+
+
 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
@@ -39,12 +86,10 @@ def get_action_handles(resource_name: str, template_name: str) -> Dict[str, List
     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:
@@ -69,12 +114,9 @@ def validate_workflow_handles(graph: WorkflowGraph) -> Tuple[bool, List[str]]:
     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, {})
 
@@ -83,164 +125,93 @@ def validate_workflow_handles(graph: WorkflowGraph) -> Tuple[bool, List[str]]:
         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
+        # 验证目标节点（right）的输入端口
         if not right_source_conn_key:
-            node_name = left_node.get("name", left_uuid[:8])
+            node_name = right_node.get("name", right_uuid[:8])
-            errors.append(f"源节点 '{node_name}' 的 source_handle_key 为空，" f"应设置为: {source_valid_keys}")
+            errors.append(f"目标节点 '{node_name}' 的输入端口 (target_handle_key) 为空，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])
+            node_name = right_node.get("name", right_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}"
+                f"目标节点 '{node_name}' 的输入端口 '{right_source_conn_key}' 不存在，支持的输入端口: {source_valid_keys}"
             )
 
-        # 如果节点配置了 input handles，则 target_port 必须有效
+        # 验证源节点（left）的输出端口
         if not left_target_conn_key:
-            node_name = right_node.get("name", right_uuid[:8])
+            node_name = left_node.get("name", left_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}")
+            errors.append(f"源节点 '{node_name}' 的输出端口 (source_handle_key) 为空，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])
+            node_name = left_node.get("name", left_uuid[:8])
             errors.append(
-                f"目标节点 '{node_name}' 的 target 端点 '{left_target_conn_key}' 不存在，"
+                f"源节点 '{node_name}' 的输出端口 '{left_target_conn_key}' 不存在，支持的输出端口: {target_valid_keys}"
-                f"支持的端点: {target_valid_keys}"
             )
 
     return len(errors) == 0, errors
 
 
-# action 到 resource_name 的映射
+def normalize_workflow_steps(workflow: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
-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
+    将 workflow 格式的步骤数据规范化
 
-    支持的输入格式：
+    输入格式:
-    - action + parameters
+        [{"action": "...", "action_args": {...}}, ...]
-    - action + action_args
+
-    - operation + parameters
+    输出格式:
+        [{"action": "...", "parameters": {...}, "step_number": int}, ...]
 
     Args:
-        data: 原始步骤数据列表
+        workflow: workflow 数组
 
     Returns:
-        规范化后的步骤列表，格式为 [{"action": str, "parameters": dict, "description": str?, "step_number": int?}, ...]
+        规范化后的步骤列表
     """
     normalized = []
-    for idx, step in enumerate(data):
+    for idx, step in enumerate(workflow):
-        # 获取动作名称（支持 action 或 operation 字段）
+        action = step.get("action")
-        action = step.get("action") or step.get("operation")
         if not action:
             continue
 
-        # 获取参数（支持 parameters 或 action_args 字段）
+        # 获取参数: action_args
-        raw_params = step.get("parameters") or step.get("action_args") or {}
+        raw_params = step.get("action_args", {})
-        params = dict(raw_params)
+        params = {}
 
-        # 规范化 source/target -> sources/targets
+        # 应用字段映射
-        if "source" in raw_params and "sources" not in raw_params:
+        for key, value in raw_params.items():
-            params["sources"] = raw_params["source"]
+            mapped_key = ARGS_FIELD_MAPPING.get(key, key)
-        if "target" in raw_params and "targets" not in raw_params:
+            params[mapped_key] = value
-            params["targets"] = raw_params["target"]
 
-        # 获取描述（支持 description 或 purpose 字段）
+        step_dict = {
-        description = step.get("description") or step.get("purpose")
+            "action": action,
+            "parameters": params,
+            "step_number": idx + 1,
+        }
 
-        # 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）
+        # 保留描述字段
-        step_number = step.get("step_number", idx + 1)
+        if "description" in step:
-
+            step_dict["description"] = step["description"]
-        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",
+    workstation_name: str = DEFAULT_WORKSTATION,
     validate: bool = True,
 ) -> WorkflowGraph:
     """
     从 JSON 数据或文件转换为 WorkflowGraph
 
-    支持的 JSON 格式：
+    JSON 格式:
-    1. {"workflow": [...], "reagent": {...}} - 直接格式
+        {"workflow": [...], "reagent": {...}}
-    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
@@ -251,7 +222,7 @@ def convert_from_json(
         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
+        ValueError: 不支持的 JSON 格式
         FileNotFoundError: 文件不存在
         json.JSONDecodeError: JSON 解析失败
     """
@@ -262,7 +233,6 @@ def convert_from_json(
             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}")
@@ -271,30 +241,24 @@ def convert_from_json(
     else:
         raise TypeError(f"不支持的数据类型: {type(data)}")
 
-    # 根据格式解析数据
+    # 校验格式
-    if "workflow" in json_data and "reagent" in json_data:
+    if "workflow" not in json_data or "reagent" not 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"
+            "不支持的 JSON 格式。请使用标准格式:\n"
-            "1. {'workflow': [...], 'reagent': {...}}\n"
+            '{"workflow": [{"action": "...", "action_args": {...}}, ...], '
-            "2. {'steps_info': [...], 'labware_info': [...]}\n"
+            '"reagent": {"name": {"slot": int, "well": [...], "labware": "..."}, ...}}'
-            "3. {'steps': [...], 'labware': [...]}"
         )
 
+    # 提取数据
+    workflow = json_data["workflow"]
+    reagent = json_data["reagent"]
+
+    # 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
+    labware_info = reagent
+
     # 构建工作流图
     graph = build_protocol_graph(
         labware_info=labware_info,
@@ -317,7 +281,7 @@ def convert_from_json(
 
 def convert_json_to_node_link(
     data: Union[str, PathLike, Dict[str, Any]],
-    workstation_name: str = "PRCXi",
+    workstation_name: str = DEFAULT_WORKSTATION,
 ) -> Dict[str, Any]:
     """
     将 JSON 数据转换为 node-link 格式的字典
@@ -335,7 +299,7 @@ def convert_json_to_node_link(
 
 def convert_json_to_workflow_list(
     data: Union[str, PathLike, Dict[str, Any]],
-    workstation_name: str = "PRCXi",
+    workstation_name: str = DEFAULT_WORKSTATION,
 ) -> List[Dict[str, Any]]:
     """
     将 JSON 数据转换为工作流列表格式
@@ -349,8 +313,3 @@ def convert_json_to_workflow_list(
     """
     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/legacy/convert_from_json_legacy.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