Update workstation & bioyond example

Refine descriptions in Bioyond reaction station YAML

Updated and clarified field and operation descriptions in the reaction_station_bioyond.yaml file for improved accuracy and consistency. Changes include more precise terminology, clearer parameter explanations, and standardized formatting for operation schemas.

refactor(workstation): 更新反应站参数描述并添加分液站配置文件

修正反应站方法参数描述，使其更准确清晰
添加bioyond_dispensing_station.yaml配置文件

add create_workflow script and test

add invisible_slots to carriers

fix(warehouses): 修正bioyond_warehouse_1x4x4仓库的尺寸参数

调整仓库的num_items_x和num_items_z值以匹配实际布局，并更新物品尺寸参数

save resource get data. allow empty value for layout and cross_section_type

More decks&plates support for bioyond (#115)

refactor(registry): 重构反应站设备配置，简化并更新操作命令

移除旧的自动操作命令，新增针对具体化学操作的命令配置
更新模块路径和配置结构，优化参数定义和描述

fix(dispensing_station): 修正物料信息查询方法调用

将直接调用material_id_query改为通过hardware_interface调用，以符合接口设计规范

scripts/workflow.py

@@ -0,0 +1,689 @@
+import json
+import logging
+import traceback
+import uuid
+import xml.etree.ElementTree as ET
+from typing import Any, Dict, List
+
+import networkx as nx
+import matplotlib.pyplot as plt
+import requests
+
+logger = logging.getLogger(__name__)
+
+
+class SimpleGraph:
+    """简单的有向图实现，用于构建工作流图"""
+
+    def __init__(self):
+        self.nodes = {}
+        self.edges = []
+
+    def add_node(self, node_id, **attrs):
+        """添加节点"""
+        self.nodes[node_id] = attrs
+
+    def add_edge(self, source, target, **attrs):
+        """添加边"""
+        edge = {"source": source, "target": target, **attrs}
+        self.edges.append(edge)
+
+    def to_dict(self):
+        """转换为工作流图格式"""
+        nodes_list = []
+        for node_id, attrs in self.nodes.items():
+            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,
+            "links": self.edges,
+        }
+
+
+def extract_json_from_markdown(text: str) -> str:
+    """从markdown代码块中提取JSON"""
+    text = text.strip()
+    if text.startswith("```json\n"):
+        text = text[8:]
+    if text.startswith("```\n"):
+        text = text[4:]
+    if text.endswith("\n```"):
+        text = text[:-4]
+    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.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", "") 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
+        for i, step in enumerate(protocol_steps):
+            node_id = str(uuid.uuid4())
+            G.add_node(node_id, **step)
+
+            # 添加控制流边
+            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")
+        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(
+    steps_info: str,
+    labware_info: str,
+    workflow_name: str = "Generated Workflow",
+    workstation_name: str = "workstation",
+    workflow_description: str = "Auto-generated workflow from protocol",
+) -> Dict[str, Any]:
+    """
+    创建工作流，输入数据已经是统一的字典格式
+
+    Args:
+        steps_info: 步骤信息 (JSON字符串，已经是list of dict格式)
+        labware_info: 实验器材和试剂信息 (JSON字符串，已经是list of dict格式)
+        workflow_name: 工作流名称
+        workflow_description: 工作流描述
+
+    Returns:
+        创建结果，包含工作流UUID和详细信息
+    """
+    try:
+        # 直接解析JSON数据
+        steps_info_clean = extract_json_from_markdown(steps_info)
+        labware_info_clean = extract_json_from_markdown(labware_info)
+
+        steps_data = json.loads(steps_info_clean)
+        labware_data = json.loads(labware_info_clean)
+
+        # 统一处理所有数据
+        protocol_graph = build_protocol_graph(labware_data, steps_data, workstation_name=workstation_name)
+
+        # 检测协议类型（用于标签）
+        protocol_type = "bio" if any("biomek" in step.get("template", "") for step in refactored_steps) else "organic"
+
+        # 转换为工作流格式
+        data = protocol_graph.to_dict()
+
+        # 转换节点格式
+        for i, node in enumerate(data["nodes"]):
+            description = node.get("description", "")
+            onode = {
+                "template": node.pop("template"),
+                "id": node["id"],
+                "lab_node_type": node.get("lab_node_type", "Device"),
+                "name": description or f"Node {i + 1}",
+                "params": {"default": node},
+                "handles": {},
+            }
+
+            # 处理边连接
+            for edge in data["links"]:
+                if edge["source"] == node["id"]:
+                    source_port = edge.get("source_port", "output")
+                    if source_port not in onode["handles"]:
+                        onode["handles"][source_port] = {"type": "source"}
+
+                if edge["target"] == node["id"]:
+                    target_port = edge.get("target_port", "input")
+                    if target_port not in onode["handles"]:
+                        onode["handles"][target_port] = {"type": "target"}
+
+            data["nodes"][i] = onode
+
+        # 发送到API创建工作流
+        api_secret = configs.Lab.Key
+        if not api_secret:
+            return {"error": "API SecretKey is not configured", "success": False}
+
+        # Step 1: 创建工作流
+        workflow_url = f"{configs.Lab.Api}/api/v1/workflow/"
+        headers = {
+            "Content-Type": "application/json",
+        }
+        params = {"secret_key": api_secret}
+
+        graph_data = {"name": workflow_name, **data}
+
+        logger.info(f"Creating workflow: {workflow_name}")
+        response = requests.post(
+            workflow_url, params=params, json=graph_data, headers=headers, timeout=configs.Lab.Timeout
+        )
+        response.raise_for_status()
+
+        workflow_info = response.json()
+
+        if workflow_info.get("code") != 0:
+            error_msg = f"API returned an error: {workflow_info.get('msg', 'Unknown Error')}"
+            logger.error(error_msg)
+            return {"error": error_msg, "success": False}
+
+        workflow_uuid = workflow_info.get("data", {}).get("uuid")
+        if not workflow_uuid:
+            return {"error": "Failed to get workflow UUID from response", "success": False}
+
+        # Step 2: 添加到模板库（可选）
+        try:
+            library_url = f"{configs.Lab.Api}/api/flociety/vs/workflows/library/"
+            lib_payload = {
+                "workflow_uuid": workflow_uuid,
+                "title": workflow_name,
+                "description": workflow_description,
+                "labels": [protocol_type.title(), "Auto-generated"],
+            }
+
+            library_response = requests.post(
+                library_url, params=params, json=lib_payload, headers=headers, timeout=configs.Lab.Timeout
+            )
+            library_response.raise_for_status()
+
+            library_info = library_response.json()
+            logger.info(f"Workflow added to library: {library_info}")
+
+            return {
+                "success": True,
+                "workflow_uuid": workflow_uuid,
+                "workflow_info": workflow_info.get("data"),
+                "library_info": library_info.get("data"),
+                "protocol_type": protocol_type,
+                "message": f"Workflow '{workflow_name}' created successfully",
+            }
+
+        except Exception as e:
+            # 即使添加到库失败，工作流创建仍然成功
+            logger.warning(f"Failed to add workflow to library: {str(e)}")
+            return {
+                "success": True,
+                "workflow_uuid": workflow_uuid,
+                "workflow_info": workflow_info.get("data"),
+                "protocol_type": protocol_type,
+                "message": f"Workflow '{workflow_name}' created successfully (library addition failed)",
+            }
+
+    except requests.exceptions.RequestException as e:
+        error_msg = f"Network error when calling API: {str(e)}"
+        logger.error(error_msg)
+        return {"error": error_msg, "success": False}
+    except json.JSONDecodeError as e:
+        error_msg = f"JSON parsing error: {str(e)}"
+        logger.error(error_msg)
+        return {"error": error_msg, "success": False}
+    except Exception as e:
+        error_msg = f"An unexpected error occurred: {str(e)}"
+        logger.error(error_msg)
+        logger.error(traceback.format_exc())
+        return {"error": error_msg, "success": False}

test/experiments/dispensing_station_bioyond.json

@@ -8,7 +8,7 @@
             ],
             "parent": null,
             "type": "device",
-            "class": "workstation.bioyond_dispensing_station",
+            "class": "bioyond_dispensing_station",
             "config": {
                 "config": {
                     "api_key": "DE9BDDA0",

test/workflow/example_bio.json

@@ -0,0 +1,186 @@
+{
+  "workflow": [
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_1",
+        "targets": "Liquid_2",
+        "asp_vol": 66.0,
+        "dis_vol": 66.0,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 94.0
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_2",
+        "targets": "Liquid_3",
+        "asp_vol": 58.0,
+        "dis_vol": 96.0,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 94.0
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_4",
+        "targets": "Liquid_2",
+        "asp_vol": 85.0,
+        "dis_vol": 170.0,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 94.0
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_4",
+        "targets": "Liquid_2",
+        "asp_vol": 63.333333333333336,
+        "dis_vol": 170.0,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 94.0
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_2",
+        "targets": "Liquid_3",
+        "asp_vol": 72.0,
+        "dis_vol": 150.0,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 94.0
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_4",
+        "targets": "Liquid_2",
+        "asp_vol": 85.0,
+        "dis_vol": 170.0,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 94.0
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_4",
+        "targets": "Liquid_2",
+        "asp_vol": 63.333333333333336,
+        "dis_vol": 170.0,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 94.0
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_2",
+        "targets": "Liquid_3",
+        "asp_vol": 72.0,
+        "dis_vol": 150.0,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 94.0
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_2",
+        "targets": "Liquid_3",
+        "asp_vol": 20.0,
+        "dis_vol": 20.0,
+        "asp_flow_rate": 7.6,
+        "dis_flow_rate": 7.6
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_5",
+        "targets": "Liquid_2",
+        "asp_vol": 6.0,
+        "dis_vol": 12.0,
+        "asp_flow_rate": 7.6,
+        "dis_flow_rate": 7.6
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_5",
+        "targets": "Liquid_2",
+        "asp_vol": 10.666666666666666,
+        "dis_vol": 12.0,
+        "asp_flow_rate": 7.599999999999999,
+        "dis_flow_rate": 7.6
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "Liquid_2",
+        "targets": "Liquid_6",
+        "asp_vol": 12.0,
+        "dis_vol": 10.0,
+        "asp_flow_rate": 7.6,
+        "dis_flow_rate": 7.6
+      }
+    }
+  ],
+  "reagent": {
+    "Liquid_6": {
+      "slot": 1,
+      "well": [
+        "A2"
+      ],
+      "labware": "elution plate"
+    },
+    "Liquid_1": {
+      "slot": 2,
+      "well": [
+        "A1",
+        "A2",
+        "A4"
+      ],
+      "labware": "reagent reservoir"
+    },
+    "Liquid_4": {
+      "slot": 2,
+      "well": [
+        "A1",
+        "A2",
+        "A4"
+      ],
+      "labware": "reagent reservoir"
+    },
+    "Liquid_5": {
+      "slot": 2,
+      "well": [
+        "A1",
+        "A2",
+        "A4"
+      ],
+      "labware": "reagent reservoir"
+    },
+    "Liquid_2": {
+      "slot": 4,
+      "well": [
+        "A2"
+      ],
+      "labware": "TAG1 plate on Magnetic Module GEN2"
+    },
+    "Liquid_3": {
+      "slot": 12,
+      "well": [
+        "A1"
+      ],
+      "labware": "Opentrons Fixed Trash"
+    }
+  }
+}

test/workflow/merge_workflow.py

@@ -0,0 +1,14 @@
+import pytest
+import json
+from scripts.workflow import build_protocol_graph, draw_protocol_graph, draw_protocol_graph_with_ports
+
+
+@pytest.mark.parametrize("protocol_name", [
+    "example_bio",
+    # "bioyond_materials_liquidhandling_1",
+])
+def test_build_protocol_graph(protocol_name):
+    d = json.load(open(f"{protocol_name}.json"))
+    graph = build_protocol_graph(labware_info=d["reagent"], protocol_steps=d["workflow"], workstation_name="PRCXi")
+    draw_protocol_graph_with_ports(graph, "graph.png")
+    print(graph)

unilabos/app/web/client.py

@@ -126,12 +126,16 @@ class HTTPClient:
         Returns:
             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_get.json"), "w", encoding="utf-8") as f:
+            f.write(json.dumps({"uuids": uuid_list, "with_children": with_children}, indent=4))
         response = requests.post(
             f"{self.remote_addr}/edge/material/query",
             json={"uuids": uuid_list, "with_children": with_children},
             headers={"Authorization": f"Lab {self.auth}"},
             timeout=100,
         )
+        with open(os.path.join(BasicConfig.working_dir, "res_resource_tree_get.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:
@@ -187,12 +191,16 @@ class HTTPClient:
         Returns:
             Dict: 返回的资源数据
         """
+        with open(os.path.join(BasicConfig.working_dir, "req_resource_get.json"), "w", encoding="utf-8") as f:
+            f.write(json.dumps({"id": id, "with_children": with_children}, indent=4))
         response = requests.get(
             f"{self.remote_addr}/lab/material",
             params={"id": id, "with_children": with_children},
             headers={"Authorization": f"Lab {self.auth}"},
             timeout=20,
         )
+        with open(os.path.join(BasicConfig.working_dir, "res_resource_get.json"), "w", encoding="utf-8") as f:
+            f.write(f"{response.status_code}" + "\n" + response.text)
         return response.json()
 
     def resource_del(self, id: str) -> requests.Response:

unilabos/devices/workstation/bioyond_studio/dispensing_station.py

@@ -338,7 +338,7 @@ class BioyondDispensingStation(BioyondWorkstation):
             workflow_id = "3a15d4a1-3bbe-76f9-a458-292896a338f5"
             
             # 4. 查询工作流对应的holdMID
-            material_info = self.material_id_query(workflow_id)
+            material_info = self.hardware_interface.material_id_query(workflow_id)
             if not material_info:
                 raise BioyondException(f"无法查询工作流 {workflow_id} 的物料信息")
             

unilabos/devices/workstation/bioyond_studio/reaction_station.py

@@ -12,13 +12,13 @@ from unilabos.devices.workstation.bioyond_studio.config import API_CONFIG
 
 class BioyondReactionStation(BioyondWorkstation):
     """Bioyond反应站类
-    
+
     继承自BioyondWorkstation，提供反应站特定的业务方法
     """
-    
+
     def __init__(self, config: dict = None, deck=None, protocol_type=None, **kwargs):
         """初始化反应站
-        
+
         Args:
             config: 配置字典，应包含workflow_mappings等配置
             deck: Deck对象
@@ -27,13 +27,13 @@ class BioyondReactionStation(BioyondWorkstation):
         """
         if deck is None and config:
             deck = config.get('deck')
-        
+
         print(f"BioyondReactionStation初始化 - config包含workflow_mappings: {'workflow_mappings' in (config or {})}")
         if config and 'workflow_mappings' in config:
             print(f"workflow_mappings内容: {config['workflow_mappings']}")
-        
+
         super().__init__(bioyond_config=config, deck=deck)
-        
+
         print(f"BioyondReactionStation初始化完成 - workflow_mappings: {self.workflow_mappings}")
         print(f"workflow_mappings长度: {len(self.workflow_mappings)}")
 
@@ -49,21 +49,21 @@ class BioyondReactionStation(BioyondWorkstation):
         return json.dumps({"suc": True})
 
     def reactor_taken_in(
-        self, 
+        self,
-        assign_material_name: str, 
+        assign_material_name: str,
         cutoff: str = "900000",
         temperature: float = -10.00
     ):
         """反应器放入
-        
+
         Args:
             assign_material_name: 物料名称（不能为空）
-            cutoff: 截止值/通量配置（需为有效数字字符串，默认 "900000"）
+            cutoff: 粘度上限（需为有效数字字符串，默认 "900000"）
-            temperature: 温度上限（°C，范围：-50.00 至 100.00）
+            temperature: 温度设定（°C，范围：-50.00 至 100.00）
-        
+
         Returns:
             str: JSON 字符串，格式为 {"suc": True}
-        
+
         Raises:
             ValueError: 若物料名称无效或 cutoff 格式错误
         """
@@ -73,7 +73,7 @@ class BioyondReactionStation(BioyondWorkstation):
             float(cutoff)
         except ValueError:
             raise ValueError("cutoff 必须是有效的数字字符串")
-        
+
         self.append_to_workflow_sequence('{"web_workflow_name": "reactor_taken_in"}')
         material_id = self.hardware_interface._get_material_id_by_name(assign_material_name)
         if material_id is None:
@@ -103,21 +103,21 @@ class BioyondReactionStation(BioyondWorkstation):
         return json.dumps({"suc": True})
 
     def solid_feeding_vials(
-        self, 
+        self,
-        material_id: str, 
+        material_id: str,
-        time: str = "0", 
+        time: str = "0",
         torque_variation: int = 1,
-        assign_material_name: str = None, 
+        assign_material_name: str = None,
         temperature: float = 25.00
     ):
         """固体进料小瓶
-        
+
         Args:
-            material_id: 粉末类型ID
+            material_id: 粉末类型ID，1=盐（21分钟），2=面粉（27分钟），3=BTDA（38分钟）
             time: 观察时间(分钟)
-            torque_variation: 是否观察扭矩变化(int类型, 1=否, 2=是)
+            torque_variation: 是否观察(int类型, 1=否, 2=是)
             assign_material_name: 物料名称(用于获取试剂瓶位ID)
-            temperature: 温度上限(°C)
+            temperature: 温度设定(°C)
         """
         self.append_to_workflow_sequence('{"web_workflow_name": "Solid_feeding_vials"}')
         material_id_m = self.hardware_interface._get_material_id_by_name(assign_material_name) if assign_material_name else None
@@ -127,7 +127,7 @@ class BioyondReactionStation(BioyondWorkstation):
 
         feeding_step_id = WORKFLOW_STEP_IDS["solid_feeding_vials"]["feeding"]
         observe_step_id = WORKFLOW_STEP_IDS["solid_feeding_vials"]["observe"]
-        
+
         solid_feeding_vials_params = {
             "param_values": {
                 feeding_step_id: {
@@ -152,22 +152,22 @@ class BioyondReactionStation(BioyondWorkstation):
         return json.dumps({"suc": True})
 
     def liquid_feeding_vials_non_titration(
-        self, 
+        self,
         volume_formula: str,
         assign_material_name: str,
         titration_type: str = "1",
         time: str = "0",
-        torque_variation: int = 1, 
+        torque_variation: int = 1,
         temperature: float = 25.00
     ):
         """液体进料小瓶(非滴定)
-        
+
         Args:
             volume_formula: 分液公式(μL)
             assign_material_name: 物料名称
-            titration_type: 是否滴定(1=滴定, 其他=非滴定)
+            titration_type: 是否滴定(1=否, 2=是)
             time: 观察时间(分钟)
-            torque_variation: 是否观察扭矩变化(int类型, 1=否, 2=是)
+            torque_variation: 是否观察(int类型, 1=否, 2=是)
             temperature: 温度(°C)
         """
         self.append_to_workflow_sequence('{"web_workflow_name": "Liquid_feeding_vials(non-titration)"}')
@@ -180,7 +180,7 @@ class BioyondReactionStation(BioyondWorkstation):
 
         liquid_step_id = WORKFLOW_STEP_IDS["liquid_feeding_vials_non_titration"]["liquid"]
         observe_step_id = WORKFLOW_STEP_IDS["liquid_feeding_vials_non_titration"]["observe"]
-        
+
         params = {
             "param_values": {
                 liquid_step_id: {
@@ -206,23 +206,23 @@ class BioyondReactionStation(BioyondWorkstation):
         return json.dumps({"suc": True})
 
     def liquid_feeding_solvents(
-        self, 
+        self,
-        assign_material_name: str, 
+        assign_material_name: str,
-        volume: str, 
+        volume: str,
         titration_type: str = "1",
-        time: str = "360", 
+        time: str = "360",
-        torque_variation: int = 2, 
+        torque_variation: int = 2,
         temperature: float = 25.00
     ):
         """液体进料-溶剂
-        
+
         Args:
             assign_material_name: 物料名称
             volume: 分液量(μL)
-            titration_type: 是否滴定
+            titration_type: 是否滴定(1=否, 2=是)
             time: 观察时间(分钟)
-            torque_variation: 是否观察扭矩变化(int类型, 1=否, 2=是)
+            torque_variation: 是否观察(int类型, 1=否, 2=是)
-            temperature: 温度上限(°C)
+            temperature: 温度设定(°C)
         """
         self.append_to_workflow_sequence('{"web_workflow_name": "Liquid_feeding_solvents"}')
         material_id = self.hardware_interface._get_material_id_by_name(assign_material_name)
@@ -231,10 +231,10 @@ class BioyondReactionStation(BioyondWorkstation):
 
         if isinstance(temperature, str):
             temperature = float(temperature)
-        
+
         liquid_step_id = WORKFLOW_STEP_IDS["liquid_feeding_solvents"]["liquid"]
         observe_step_id = WORKFLOW_STEP_IDS["liquid_feeding_solvents"]["observe"]
-        
+
         params = {
             "param_values": {
                 liquid_step_id: {
@@ -260,22 +260,22 @@ class BioyondReactionStation(BioyondWorkstation):
         return json.dumps({"suc": True})
 
     def liquid_feeding_titration(
-        self, 
+        self,
-        volume_formula: str, 
+        volume_formula: str,
-        assign_material_name: str, 
+        assign_material_name: str,
         titration_type: str = "1",
-        time: str = "90", 
+        time: str = "90",
         torque_variation: int = 2,
         temperature: float = 25.00
     ):
         """液体进料(滴定)
-        
+
         Args:
             volume_formula: 分液公式(μL)
             assign_material_name: 物料名称
-            titration_type: 是否滴定
+            titration_type: 是否滴定(1=否, 2=是)
             time: 观察时间(分钟)
-            torque_variation: 是否观察扭矩变化(int类型, 1=否, 2=是)
+            torque_variation: 是否观察(int类型, 1=否, 2=是)
             temperature: 温度(°C)
         """
         self.append_to_workflow_sequence('{"web_workflow_name": "Liquid_feeding(titration)"}')
@@ -314,23 +314,23 @@ class BioyondReactionStation(BioyondWorkstation):
         return json.dumps({"suc": True})
 
     def liquid_feeding_beaker(
-        self, 
+        self,
-        volume: str = "35000", 
+        volume: str = "35000",
         assign_material_name: str = "BAPP",
-        time: str = "0", 
+        time: str = "0",
-        torque_variation: int = 1, 
+        torque_variation: int = 1,
         titration_type: str = "1",
         temperature: float = 25.00
     ):
         """液体进料烧杯
-        
+
         Args:
             volume: 分液量(μL)
             assign_material_name: 物料名称(试剂瓶位)
             time: 观察时间(分钟)
-            torque_variation: 是否观察扭矩变化(int类型, 1=否, 2=是)
+            torque_variation: 是否观察(int类型, 1=否, 2=是)
-            titration_type: 是否滴定
+            titration_type: 是否滴定(1=否, 2=是)
-            temperature: 温度上限(°C)
+            temperature: 温度设定(°C)
         """
         self.append_to_workflow_sequence('{"web_workflow_name": "liquid_feeding_beaker"}')
         material_id = self.hardware_interface._get_material_id_by_name(assign_material_name)
@@ -366,7 +366,7 @@ class BioyondReactionStation(BioyondWorkstation):
         print(f"成功添加液体进料烧杯参数: volume={volume}μL, material={assign_material_name}->ID:{material_id}")
         print(f"当前队列长度: {len(self.pending_task_params)}")
         return json.dumps({"suc": True})
-    
+
     def drip_back(
         self,
         assign_material_name: str,
@@ -377,13 +377,13 @@ class BioyondReactionStation(BioyondWorkstation):
         temperature: float = 25.00
     ):
         """滴回去
-        
+
         Args:
             assign_material_name: 物料名称(液体种类)
             volume: 分液量(μL)
-            titration_type: 是否滴定
+            titration_type: 是否滴定(1=否, 2=是)
             time: 观察时间(分钟)
-            torque_variation: 是否观察扭矩变化(int类型, 1=否, 2=是)
+            torque_variation: 是否观察(int类型, 1=否, 2=是)
             temperature: 温度(°C)
         """
         self.append_to_workflow_sequence('{"web_workflow_name": "drip_back"}')
@@ -425,7 +425,7 @@ class BioyondReactionStation(BioyondWorkstation):
 
     def get_workflow_sequence(self) -> List[str]:
         """获取当前工作流执行顺序
-        
+
         Returns:
             工作流名称列表
         """
@@ -439,10 +439,10 @@ class BioyondReactionStation(BioyondWorkstation):
 
     def workflow_step_query(self, workflow_id: str) -> dict:
         """查询工作流步骤参数
-        
+
         Args:
             workflow_id: 工作流ID
-            
+
         Returns:
             工作流步骤参数字典
         """
@@ -450,10 +450,10 @@ class BioyondReactionStation(BioyondWorkstation):
 
     def create_order(self, json_str: str) -> dict:
         """创建订单
-        
+
         Args:
             json_str: 订单参数的JSON字符串
-            
+
         Returns:
             创建结果
         """
@@ -463,10 +463,10 @@ class BioyondReactionStation(BioyondWorkstation):
 
     def process_web_workflows(self, web_workflow_json: str) -> List[Dict[str, str]]:
         """处理网页工作流列表
-        
+
         Args:
             web_workflow_json: JSON 格式的网页工作流列表
-            
+
         Returns:
             List[Dict[str, str]]: 包含工作流 ID 和名称的字典列表
         """
@@ -492,11 +492,11 @@ class BioyondReactionStation(BioyondWorkstation):
     def process_and_execute_workflow(self, workflow_name: str, task_name: str) -> dict:
         """
         一站式处理工作流程：解析网页工作流列表，合并工作流(带参数)，然后发布任务
-        
+
         Args:
             workflow_name: 合并后的工作流名称
             task_name: 任务名称
-            
+
         Returns:
             任务创建结果
         """
@@ -504,32 +504,32 @@ class BioyondReactionStation(BioyondWorkstation):
         print(f"\n{'='*60}")
         print(f"📋 处理网页工作流列表: {web_workflow_list}")
         print(f"{'='*60}")
-        
+
         web_workflow_json = json.dumps({"web_workflow_list": web_workflow_list})
         workflows_result = self.process_web_workflows(web_workflow_json)
-        
+
         if not workflows_result:
             return self._create_error_result("处理网页工作流列表失败", "process_web_workflows")
-        
+
         print(f"workflows_result 类型: {type(workflows_result)}")
         print(f"workflows_result 内容: {workflows_result}")
-        
+
         workflows_with_params = self._build_workflows_with_parameters(workflows_result)
-        
+
         merge_data = {
             "name": workflow_name,
             "workflows": workflows_with_params
         }
-        
+
         # print(f"\n🔄 合并工作流（带参数），名称: {workflow_name}")
         merged_workflow = self.merge_workflow_with_parameters(json.dumps(merge_data))
-        
+
         if not merged_workflow:
             return self._create_error_result("合并工作流失败", "merge_workflow_with_parameters")
-        
+
         workflow_id = merged_workflow.get("subWorkflows", [{}])[0].get("id", "")
         # print(f"\n📤 使用工作流创建任务: {workflow_name} (ID: {workflow_id})")
-        
+
         order_params = [{
             "orderCode": f"task_{self.hardware_interface.get_current_time_iso8601()}",
             "orderName": task_name,
@@ -537,16 +537,16 @@ class BioyondReactionStation(BioyondWorkstation):
             "borderNumber": 1,
             "paramValues": {}
         }]
-        
+
         result = self.create_order(json.dumps(order_params))
-        
+
         if not result:
             return self._create_error_result("创建任务失败", "create_order")
-        
+
         # 清空工作流序列和参数，防止下次执行时累积重复
         self.pending_task_params = []
-        self.clear_workflows()  
+        self.clear_workflows()  # 清空工作流序列，避免重复累积
-        
+
         # print(f"\n✅ 任务创建成功: {result}")
         # print(f"\n✅ 任务创建成功")
         print(f"{'='*60}\n")
@@ -555,10 +555,10 @@ class BioyondReactionStation(BioyondWorkstation):
     def _build_workflows_with_parameters(self, workflows_result: list) -> list:
         """
         构建带参数的工作流列表
-        
+
         Args:
             workflows_result: 处理后的工作流列表（应为包含 id 和 name 的字典列表）
-            
+
         Returns:
             符合新接口格式的工作流参数结构
         """
@@ -577,19 +577,19 @@ class BioyondReactionStation(BioyondWorkstation):
                 continue
             workflow_name = workflow_info.get("name", "")
             # print(f"\n🔧 处理工作流 [{idx}]: {workflow_name} (ID: {workflow_id})")
-            
+
             if idx >= len(self.pending_task_params):
                 # print(f"   ⚠️ 无对应参数，跳过")
                 workflows_with_params.append({"id": workflow_id})
                 continue
-            
+
             param_data = self.pending_task_params[idx]
             param_values = param_data.get("param_values", {})
             if not param_values:
                 # print(f"   ⚠️ 参数为空，跳过")
                 workflows_with_params.append({"id": workflow_id})
                 continue
-            
+
             step_parameters = {}
             for step_id, actions_dict in param_values.items():
                 # print(f"   📍 步骤ID: {step_id}")
@@ -646,25 +646,25 @@ class BioyondReactionStation(BioyondWorkstation):
     def merge_workflow_with_parameters(self, json_str: str) -> dict:
         """
         调用新接口：合并工作流并传递参数
-        
+
         Args:
             json_str: JSON格式的字符串，包含:
                 - name: 工作流名称
                 - workflows: [{"id": "工作流ID", "stepParameters": {...}}]
-                
+
         Returns:
             合并后的工作流信息
         """
         try:
             data = json.loads(json_str)
-            
+
             # 在工作流名称后面添加时间戳，避免重复
             if "name" in data and data["name"]:
                 timestamp = self.hardware_interface.get_current_time_iso8601().replace(":", "-").replace(".", "-")
                 original_name = data["name"]
                 data["name"] = f"{original_name}_{timestamp}"
                 print(f"🕒 工作流名称已添加时间戳: {original_name} -> {data['name']}")
-            
+
             request_data = {
                 "apiKey": API_CONFIG["api_key"],
                 "requestTime": self.hardware_interface.get_current_time_iso8601(),
@@ -673,37 +673,37 @@ class BioyondReactionStation(BioyondWorkstation):
             print(f"\n📤 发送合并请求:")
             print(f"   工作流名称: {data.get('name')}")
             print(f"   子工作流数量: {len(data.get('workflows', []))}")
-            
+
             # 打印完整的POST请求内容
             print(f"\n🔍 POST请求详细内容:")
             print(f"   URL: {self.hardware_interface.host}/api/lims/workflow/merge-workflow-with-parameters")
             print(f"   Headers: {{'Content-Type': 'application/json'}}")
             print(f"   Request Data:")
             print(f"   {json.dumps(request_data, indent=4, ensure_ascii=False)}")
-            # 
+            #
             response = requests.post(
                 f"{self.hardware_interface.host}/api/lims/workflow/merge-workflow-with-parameters",
                 json=request_data,
                 headers={"Content-Type": "application/json"},
                 timeout=30
             )
-            
+
             # # 打印响应详细内容
             # print(f"\n📥 POST响应详细内容:")
             # print(f"   状态码: {response.status_code}")
             # print(f"   响应头: {dict(response.headers)}")
             # print(f"   响应体: {response.text}")
-            # # 
+            # #
             try:
                 result = response.json()
-                # # 
+                # #
                 # print(f"\n📋 解析后的响应JSON:")
                 # print(f"   {json.dumps(result, indent=4, ensure_ascii=False)}")
-                # # 
+                # #
             except json.JSONDecodeError:
                 print(f"❌ 服务器返回非 JSON 格式响应: {response.text}")
                 return None
-            
+
             if result.get("code") == 1:
                 print(f"✅ 工作流合并成功（带参数）")
                 return result.get("data", {})
@@ -711,7 +711,7 @@ class BioyondReactionStation(BioyondWorkstation):
                 error_msg = result.get('message', '未知错误')
                 print(f"❌ 工作流合并失败: {error_msg}")
                 return None
-                
+
         except requests.exceptions.Timeout:
             print(f"❌ 合并工作流请求超时")
             return None
@@ -727,10 +727,10 @@ class BioyondReactionStation(BioyondWorkstation):
 
     def _validate_and_refresh_workflow_if_needed(self, workflow_name: str) -> bool:
         """验证工作流ID是否有效，如果无效则重新合并
-        
+
         Args:
             workflow_name: 工作流名称
-            
+
         Returns:
             bool: 验证或刷新是否成功
         """

unilabos/registry/devices/bioyond_dispensing_station.yaml

@@ -0,0 +1,253 @@
+bioyond_dispensing_station:
+  category:
+  - workstation
+  - bioyond
+  - bioyond_dispensing_station
+  class:
+    action_value_mappings:
+      create_90_10_vial_feeding_task:
+        feedback: {}
+        goal:
+          delay_time: delay_time
+          hold_m_name: hold_m_name
+          order_name: order_name
+          percent_10_1_assign_material_name: percent_10_1_assign_material_name
+          percent_10_1_liquid_material_name: percent_10_1_liquid_material_name
+          percent_10_1_target_weigh: percent_10_1_target_weigh
+          percent_10_1_volume: percent_10_1_volume
+          percent_10_2_assign_material_name: percent_10_2_assign_material_name
+          percent_10_2_liquid_material_name: percent_10_2_liquid_material_name
+          percent_10_2_target_weigh: percent_10_2_target_weigh
+          percent_10_2_volume: percent_10_2_volume
+          percent_10_3_assign_material_name: percent_10_3_assign_material_name
+          percent_10_3_liquid_material_name: percent_10_3_liquid_material_name
+          percent_10_3_target_weigh: percent_10_3_target_weigh
+          percent_10_3_volume: percent_10_3_volume
+          percent_90_1_assign_material_name: percent_90_1_assign_material_name
+          percent_90_1_target_weigh: percent_90_1_target_weigh
+          percent_90_2_assign_material_name: percent_90_2_assign_material_name
+          percent_90_2_target_weigh: percent_90_2_target_weigh
+          percent_90_3_assign_material_name: percent_90_3_assign_material_name
+          percent_90_3_target_weigh: percent_90_3_target_weigh
+          speed: speed
+          temperature: temperature
+        goal_default:
+          delay_time: ''
+          hold_m_name: ''
+          order_name: ''
+          percent_10_1_assign_material_name: ''
+          percent_10_1_liquid_material_name: ''
+          percent_10_1_target_weigh: ''
+          percent_10_1_volume: ''
+          percent_10_2_assign_material_name: ''
+          percent_10_2_liquid_material_name: ''
+          percent_10_2_target_weigh: ''
+          percent_10_2_volume: ''
+          percent_10_3_assign_material_name: ''
+          percent_10_3_liquid_material_name: ''
+          percent_10_3_target_weigh: ''
+          percent_10_3_volume: ''
+          percent_90_1_assign_material_name: ''
+          percent_90_1_target_weigh: ''
+          percent_90_2_assign_material_name: ''
+          percent_90_2_target_weigh: ''
+          percent_90_3_assign_material_name: ''
+          percent_90_3_target_weigh: ''
+          speed: ''
+          temperature: ''
+        handles: {}
+        result:
+          return_info: return_info
+        schema:
+          description: ''
+          properties:
+            feedback:
+              properties: {}
+              required: []
+              title: DispenStationVialFeed_Feedback
+              type: object
+            goal:
+              properties:
+                delay_time:
+                  type: string
+                hold_m_name:
+                  type: string
+                order_name:
+                  type: string
+                percent_10_1_assign_material_name:
+                  type: string
+                percent_10_1_liquid_material_name:
+                  type: string
+                percent_10_1_target_weigh:
+                  type: string
+                percent_10_1_volume:
+                  type: string
+                percent_10_2_assign_material_name:
+                  type: string
+                percent_10_2_liquid_material_name:
+                  type: string
+                percent_10_2_target_weigh:
+                  type: string
+                percent_10_2_volume:
+                  type: string
+                percent_10_3_assign_material_name:
+                  type: string
+                percent_10_3_liquid_material_name:
+                  type: string
+                percent_10_3_target_weigh:
+                  type: string
+                percent_10_3_volume:
+                  type: string
+                percent_90_1_assign_material_name:
+                  type: string
+                percent_90_1_target_weigh:
+                  type: string
+                percent_90_2_assign_material_name:
+                  type: string
+                percent_90_2_target_weigh:
+                  type: string
+                percent_90_3_assign_material_name:
+                  type: string
+                percent_90_3_target_weigh:
+                  type: string
+                speed:
+                  type: string
+                temperature:
+                  type: string
+              required:
+              - order_name
+              - percent_90_1_assign_material_name
+              - percent_90_1_target_weigh
+              - percent_90_2_assign_material_name
+              - percent_90_2_target_weigh
+              - percent_90_3_assign_material_name
+              - percent_90_3_target_weigh
+              - percent_10_1_assign_material_name
+              - percent_10_1_target_weigh
+              - percent_10_1_volume
+              - percent_10_1_liquid_material_name
+              - percent_10_2_assign_material_name
+              - percent_10_2_target_weigh
+              - percent_10_2_volume
+              - percent_10_2_liquid_material_name
+              - percent_10_3_assign_material_name
+              - percent_10_3_target_weigh
+              - percent_10_3_volume
+              - percent_10_3_liquid_material_name
+              - speed
+              - temperature
+              - delay_time
+              - hold_m_name
+              title: DispenStationVialFeed_Goal
+              type: object
+            result:
+              properties:
+                return_info:
+                  type: string
+              required:
+              - return_info
+              title: DispenStationVialFeed_Result
+              type: object
+          required:
+          - goal
+          title: DispenStationVialFeed
+          type: object
+        type: DispenStationVialFeed
+      create_diamine_solution_task:
+        feedback: {}
+        goal:
+          delay_time: delay_time
+          hold_m_name: hold_m_name
+          liquid_material_name: liquid_material_name
+          material_name: material_name
+          order_name: order_name
+          speed: speed
+          target_weigh: target_weigh
+          temperature: temperature
+          volume: volume
+        goal_default:
+          delay_time: ''
+          hold_m_name: ''
+          liquid_material_name: ''
+          material_name: ''
+          order_name: ''
+          speed: ''
+          target_weigh: ''
+          temperature: ''
+          volume: ''
+        handles: {}
+        result:
+          return_info: return_info
+        schema:
+          description: ''
+          properties:
+            feedback:
+              properties: {}
+              required: []
+              title: DispenStationSolnPrep_Feedback
+              type: object
+            goal:
+              properties:
+                delay_time:
+                  type: string
+                hold_m_name:
+                  type: string
+                liquid_material_name:
+                  type: string
+                material_name:
+                  type: string
+                order_name:
+                  type: string
+                speed:
+                  type: string
+                target_weigh:
+                  type: string
+                temperature:
+                  type: string
+                volume:
+                  type: string
+              required:
+              - order_name
+              - material_name
+              - target_weigh
+              - volume
+              - liquid_material_name
+              - speed
+              - temperature
+              - delay_time
+              - hold_m_name
+              title: DispenStationSolnPrep_Goal
+              type: object
+            result:
+              properties:
+                return_info:
+                  type: string
+              required:
+              - return_info
+              title: DispenStationSolnPrep_Result
+              type: object
+          required:
+          - goal
+          title: DispenStationSolnPrep
+          type: object
+        type: DispenStationSolnPrep
+    module: unilabos.devices.workstation.bioyond_studio.dispensing_station:BioyondDispensingStation
+    status_types: {}
+    type: python
+  config_info: []
+  description: ''
+  handles: []
+  icon: preparation_station.webp
+  init_param_schema:
+    config:
+      properties:
+        config:
+          type: string
+      required:
+      - config
+      type: object
+    data:
+      properties: {}
+      required: []
+      type: object
+  version: 1.0.0

unilabos/registry/resources/bioyond/deck.yaml

@@ -22,3 +22,21 @@ BIOYOND_PolymerReactionStation_Deck:
   init_param_schema: {}
   registry_type: resource
   version: 1.0.0
+
+YB_Deck11:
+  category:
+  - deck
+  class:
+    module: unilabos.resources.bioyond.decks:YB_Deck
+    type: pylabrobot
+  description: BIOYOND PolymerReactionStation Deck
+  handles: []
+  icon: 配液站.webp
+  init_param_schema: {}
+  registry_type: resource
+  version: 1.0.0
+
+
+
+
+

unilabos/resources/bioyond/decks.py

@@ -1,6 +1,7 @@
+from os import name
 from pylabrobot.resources import Deck, Coordinate, Rotation
 
-from unilabos.resources.bioyond.warehouses import bioyond_warehouse_1x4x4, bioyond_warehouse_1x4x2, bioyond_warehouse_liquid_and_lid_handling
+from unilabos.resources.bioyond.warehouses import bioyond_warehouse_1x4x4, bioyond_warehouse_1x4x2, bioyond_warehouse_liquid_and_lid_handling, bioyond_warehouse_1x2x2, bioyond_warehouse_1x3x3, bioyond_warehouse_10x1x1, bioyond_warehouse_3x3x1, bioyond_warehouse_3x3x1_2, bioyond_warehouse_5x1x1
 
 
 class BIOYOND_PolymerReactionStation_Deck(Deck):
@@ -66,3 +67,60 @@ class BIOYOND_PolymerPreparationStation_Deck(Deck):
 
         for warehouse_name, warehouse in self.warehouses.items():
             self.assign_child_resource(warehouse, location=self.warehouse_locations[warehouse_name])
+
+class BIOYOND_YB_Deck(Deck):
+    def __init__(
+        self, 
+        name: str = "YB_Deck",
+        size_x: float = 4150,
+        size_y: float = 1400.0,
+        size_z: float = 2670.0,
+        category: str = "deck",
+        setup: bool = False
+    ) -> None:
+        super().__init__(name=name, size_x=4150.0, size_y=1400.0, size_z=2670.0)
+        if setup:
+            self.setup()
+
+    def setup(self) -> None:
+        # 添加仓库
+        self.warehouses = {
+            "321窗口": bioyond_warehouse_1x2x2("321窗口"),
+            "43窗口": bioyond_warehouse_1x2x2("43窗口"),
+            "手动传递窗左": bioyond_warehouse_1x3x3("手动传递窗左"),
+            "手动传递窗右": bioyond_warehouse_1x3x3("手动传递窗右"),
+            "加样头堆栈左": bioyond_warehouse_10x1x1("加样头堆栈左"),
+            "加样头堆栈右": bioyond_warehouse_10x1x1("加样头堆栈右"),
+
+            "15ml配液堆栈左": bioyond_warehouse_3x3x1("15ml配液堆栈左"),
+            "母液加样右": bioyond_warehouse_3x3x1_2("母液加样右"),
+            "大瓶母液堆栈左": bioyond_warehouse_5x1x1("大瓶母液堆栈左"),
+            "大瓶母液堆栈右": bioyond_warehouse_5x1x1("大瓶母液堆栈右"),
+        }
+        # warehouse 的位置
+        self.warehouse_locations = {
+            "321窗口": Coordinate(-150.0, 158.0, 0.0),
+            "43窗口": Coordinate(4160.0, 158.0, 0.0),
+            "手动传递窗左": Coordinate(-150.0, 877.0, 0.0),
+            "手动传递窗右": Coordinate(4160.0, 877.0, 0.0),
+            "加样头堆栈左": Coordinate(385.0, 1300.0, 0.0),
+            "加样头堆栈右": Coordinate(2187.0, 1300.0, 0.0),
+
+            "15ml配液堆栈左": Coordinate(749.0, 355.0, 0.0),
+            "母液加样右": Coordinate(2152.0, 333.0, 0.0),
+            "大瓶母液堆栈左": Coordinate(1164.0, 676.0, 0.0),
+            "大瓶母液堆栈右": Coordinate(2717.0, 676.0, 0.0),
+        }
+
+        for warehouse_name, warehouse in self.warehouses.items():
+            self.assign_child_resource(warehouse, location=self.warehouse_locations[warehouse_name])
+            
+def YB_Deck(name: str) -> Deck:
+    by=BIOYOND_YB_Deck(name=name)
+    by.setup()
+    return by
+
+
+
+
+

unilabos/resources/bioyond/warehouses.py

@@ -18,6 +18,7 @@ def bioyond_warehouse_1x4x4(name: str) -> WareHouse:
     )
 
 
+
 def bioyond_warehouse_1x4x2(name: str) -> WareHouse:
     """创建BioYond 4x1x2仓库"""
     return warehouse_factory(
@@ -34,7 +35,113 @@ def bioyond_warehouse_1x4x2(name: str) -> WareHouse:
         category="warehouse",
         removed_positions=None
     )
+ # 定义benyond的堆栈
+def bioyond_warehouse_1x2x2(name: str) -> WareHouse:
+    """创建BioYond 4x1x4仓库"""
+    return warehouse_factory(
+        name=name,
+        num_items_x=1,
+        num_items_y=2,
+        num_items_z=2,
+        dx=10.0,
+        dy=10.0,
+        dz=10.0,
+        item_dx=137.0,
+        item_dy=96.0,
+        item_dz=120.0,
+        category="warehouse",
+    )
+def bioyond_warehouse_10x1x1(name: str) -> WareHouse:
+    """创建BioYond 4x1x4仓库"""
+    return warehouse_factory(
+        name=name,
+        num_items_x=10,
+        num_items_y=1,
+        num_items_z=1,
+        dx=10.0,
+        dy=10.0,
+        dz=10.0,
+        item_dx=137.0,
+        item_dy=96.0,
+        item_dz=120.0,
+        category="warehouse",
+    )
+def bioyond_warehouse_1x3x3(name: str) -> WareHouse:
+    """创建BioYond 4x1x4仓库"""
+    return warehouse_factory(
+        name=name,
+        num_items_x=1,
+        num_items_y=3,
+        num_items_z=3,
+        dx=10.0,
+        dy=10.0,
+        dz=10.0,
+        item_dx=137.0,
+        item_dy=96.0,
+        item_dz=120.0,
+        category="warehouse",
+    )
+def bioyond_warehouse_2x1x3(name: str) -> WareHouse:
+    """创建BioYond 4x1x4仓库"""
+    return warehouse_factory(
+        name=name,
+        num_items_x=2,
+        num_items_y=1,
+        num_items_z=3,
+        dx=10.0,
+        dy=10.0,
+        dz=10.0,
+        item_dx=137.0,
+        item_dy=96.0,
+        item_dz=120.0,
+        category="warehouse",
+    )
 
+def bioyond_warehouse_3x3x1(name: str) -> WareHouse:
+    """创建BioYond 4x1x4仓库"""
+    return warehouse_factory(
+        name=name,
+        num_items_x=3,
+        num_items_y=3,
+        num_items_z=1,
+        dx=10.0,
+        dy=10.0,
+        dz=10.0,
+        item_dx=137.0,
+        item_dy=96.0,
+        item_dz=120.0,
+        category="warehouse",
+    )
+def bioyond_warehouse_5x1x1(name: str) -> WareHouse:
+    """创建BioYond 4x1x4仓库"""
+    return warehouse_factory(
+        name=name,
+        num_items_x=5,
+        num_items_y=1,
+        num_items_z=1,
+        dx=10.0,
+        dy=10.0,
+        dz=10.0,
+        item_dx=137.0,
+        item_dy=96.0,
+        item_dz=120.0,
+        category="warehouse",
+    )
+def bioyond_warehouse_3x3x1_2(name: str) -> WareHouse:
+    """创建BioYond 4x1x4仓库"""
+    return warehouse_factory(
+        name=name,
+        num_items_x=3,
+        num_items_y=3,
+        num_items_z=1,
+        dx=12.0,
+        dy=12.0,
+        dz=12.0,
+        item_dx=137.0,
+        item_dy=96.0,
+        item_dz=120.0,
+        category="warehouse",
+    )
 
 def bioyond_warehouse_liquid_and_lid_handling(name: str) -> WareHouse:
     """创建BioYond开关盖加液模块台面"""

unilabos/resources/graphio.py

@@ -575,16 +575,16 @@ def resource_plr_to_ulab(resource_plr: "ResourcePLR", parent_name: str = None, w
         replace_info = {
             "plate": "plate",
             "well": "well",
-            "tip_spot": "container",
+            "tip_spot": "tip_spot",
-            "trash": "container",
+            "trash": "trash",
             "deck": "deck",
-            "tip_rack": "container",
+            "tip_rack": "tip_rack",
         }
         if source in replace_info:
             return replace_info[source]
         else:
             print("转换pylabrobot的时候，出现未知类型", source)
-            return "container"
+            return source
 
     def resource_plr_to_ulab_inner(d: dict, all_states: dict, child=True) -> dict:
         r = {

unilabos/resources/itemized_carrier.py

@@ -78,6 +78,7 @@ class ItemizedCarrier(ResourcePLR):
     sites: Optional[Dict[Union[int, str], Optional[ResourcePLR]]] = None,
     category: Optional[str] = "carrier",
     model: Optional[str] = None,
+    invisible_slots: Optional[str] = None,
   ):
     super().__init__(
       name=name,
@@ -89,6 +90,7 @@ class ItemizedCarrier(ResourcePLR):
     )
     self.num_items = len(sites)
     self.num_items_x, self.num_items_y, self.num_items_z = num_items_x, num_items_y, num_items_z
+    self.invisible_slots = [] if invisible_slots is None else invisible_slots
     self.layout = "z-y" if self.num_items_z > 1 and self.num_items_x == 1 else "x-z" if self.num_items_z > 1 and self.num_items_y == 1 else "x-y"
 
     if isinstance(sites, dict):
@@ -410,7 +412,7 @@ class ItemizedCarrier(ResourcePLR):
       "layout": self.layout,
       "sites": [{
         "label": str(identifier),
-        "visible": True if self[identifier] is not None else False,
+        "visible": False if identifier in self.invisible_slots else True,
         "occupied_by": self[identifier].name 
                         if isinstance(self[identifier], ResourcePLR) and not isinstance(self[identifier], ResourceHolder) else 
                         self[identifier] if isinstance(self[identifier], str) else None,
@@ -433,6 +435,7 @@ class BottleCarrier(ItemizedCarrier):
         sites: Optional[Dict[Union[int, str], ResourceHolder]] = None,
         category: str = "bottle_carrier",
         model: Optional[str] = None,
+        invisible_slots: List[str] = None,
         **kwargs,
     ):
         super().__init__(
@@ -443,4 +446,5 @@ class BottleCarrier(ItemizedCarrier):
             sites=sites,
             category=category,
             model=model,
+            invisible_slots=invisible_slots,
         )

unilabos/ros/nodes/resource_tracker.py

@@ -32,7 +32,7 @@ class ResourceDictPositionObject(BaseModel):
 class ResourceDictPosition(BaseModel):
     size: ResourceDictPositionSize = Field(description="Resource size", default_factory=ResourceDictPositionSize)
     scale: ResourceDictPositionScale = Field(description="Resource scale", default_factory=ResourceDictPositionScale)
-    layout: Literal["2d", "x-y", "z-y", "x-z"] = Field(description="Resource layout", default="x-y")
+    layout: Literal["2d", "x-y", "z-y", "x-z", ""] = Field(description="Resource layout", default="x-y")
     position: ResourceDictPositionObject = Field(
         description="Resource position", default_factory=ResourceDictPositionObject
     )
@@ -42,7 +42,7 @@ class ResourceDictPosition(BaseModel):
     rotation: ResourceDictPositionObject = Field(
         description="Resource rotation", default_factory=ResourceDictPositionObject
     )
-    cross_section_type: Literal["rectangle", "circle", "rounded_rectangle"] = Field(description="Cross section type", default="rectangle")
+    cross_section_type: Literal["rectangle", "circle", "rounded_rectangle", ""] = Field(description="Cross section type", default="rectangle")
 
 
 # 统一的资源字典模型，parent 自动序列化为 parent_uuid，children 不序列化
@@ -311,12 +311,16 @@ class ResourceTreeSet(object):
                 "plate": "plate",
                 "well": "well",
                 "deck": "deck",
+                "tip_rack": "tip_rack",
+                "tip_spot": "tip_spot",
+                "tube": "tube",
+                "bottle_carrier": "bottle_carrier",
             }
             if source in replace_info:
                 return replace_info[source]
             else:
                 print("转换pylabrobot的时候，出现未知类型", source)
-                return "container"
+                return source
 
         def build_uuid_mapping(res: "PLRResource", uuid_list: list):
             """递归构建uuid映射字典"""
@@ -402,7 +406,7 @@ class ResourceTreeSet(object):
         import inspect
 
         # 类型映射
-        TYPE_MAP = {"plate": "Plate", "well": "Well", "deck": "Deck"}
+        TYPE_MAP = {"plate": "Plate", "well": "Well", "deck": "Deck", "container": "RegularContainer"}
 
         def collect_node_data(node: ResourceDictInstance, name_to_uuid: dict, all_states: dict):
             """一次遍历收集 name_to_uuid 和 all_states"""