1020_YB奔耀仿真机同步对齐dev_unilab可控

待修改unilab的http服务

unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_cell_workstation.py

@@ -0,0 +1,681 @@
+# -*- coding: utf-8 -*-
+from cgi import print_arguments
+from doctest import debug
+from typing import Dict, Any, List, Optional
+import requests
+from pathlib import Path
+import pandas as pd
+import time
+from datetime import datetime, timedelta
+import re
+import threading
+
+from urllib3 import response
+from unilabos.devices.workstation.workstation_base import WorkstationBase
+from unilabos.devices.workstation.workstation_http_service import WorkstationHTTPService
+from unilabos.utils.log import logger
+from pylabrobot.resources.deck import Deck
+
+def _iso_local_now_ms() -> str:
+    # 文档要求：到毫秒 + Z，例如 2025-08-15T05:43:22.814Z
+    dt = datetime.now()
+    # print(dt)
+    return dt.strftime("%Y-%m-%dT%H:%M:%S.") + f"{int(dt.microsecond/1000):03d}Z"
+
+
+class BioyondCellWorkstation(WorkstationBase):
+    """
+    集成 Bioyond LIMS 的工作站示例，
+    覆盖：入库(2.17/2.18) → 新建实验(2.14) → 启动调度(2.7) →
+    运行中推送：物料变更(2.24)、步骤完成(2.21)、订单完成(2.23) →
+    查询实验(2.5/2.6) → 3-2-1 转运(2.32) → 样品/废料取出(2.28)
+    """
+
+    def __init__(
+        self,
+        bioyond_config: Optional[Dict[str, Any]] = None,
+        station_resource: Optional[Dict[str, Any]] = None,
+        *args, **kwargs,
+        ):
+
+        self.bioyond_config = bioyond_config or {
+            "base_url": "http://172.16.11.219:44388",
+            "api_key": "8A819E5C",
+            "timeout": 30,
+            "report_token": "CHANGE_ME_TOKEN",
+            "HTTP_host": "192.168.1.104", 
+            "HTTP_port": 8080,
+            "debug_mode": False
+        } # report_token ：unilab自己的令牌report_token（0928未启用）
+        self.debug_mode = self.bioyond_config["debug_mode"]
+        self.http_service_started = False
+        super().__init__(station_resource=station_resource, *args, **kwargs)
+        logger.info(f"Bioyond工作站初始化完成 (debug_mode={self.debug_mode})")
+
+        # 实例化并在后台线程启动 HTTP 报送服务
+        self.order_status = {} # 记录任务完成情况，用于接受bioyond post信息和反馈信息，尤其用于硬件查询和物料信息变化
+        try:
+            logger.info("准备开始unilab_HTTP后台线程")
+            t = threading.Thread(target=self._start_http_service, daemon=True, name="unilab_http")
+            t.start()
+        except Exception as e:
+            logger.error(f"unilab-HTTP后台线程启动失败: {e}")
+
+    def _start_http_service(self, host: Optional[str] = None, port: Optional[int] = None) -> None:
+        host = host or self.bioyond_config.get("HTTP_host", "")
+        port = port or self.bioyond_config.get("HTTP_port", )
+
+        logger.info("准备开始unilab_HTTP服务")
+        try:
+            self.service = WorkstationHTTPService(self, host=host, port=port)
+            logger.info("WorkstationHTTPService 实例化完成")
+            self.service.start()
+            self.http_service_started = True
+            logger.info(f"WorkstationHTTPService成功启动: {host}:{port}")
+            #一直挂着，直到进程退出
+            while True:
+                time.sleep(1)
+        except Exception as e:
+            self.http_service_started = False # 调试用
+            logger.error(f"启动WorkstationHTTPService失败: {e}", exc_info=True)
+
+    # -------------------- 基础HTTP封装 --------------------
+    def _url(self, path: str) -> str:
+
+        return f"{self.bioyond_config['base_url'].rstrip('/')}/{path.lstrip('/')}"
+
+    def _post_lims(self, path: str, data: Optional[Any] = None) -> Dict[str, Any]:
+        """LIMS API：大多数接口用 {apiKey/requestTime,data} 包装"""
+        payload = {
+            "apiKey": self.bioyond_config["api_key"],
+            "requestTime": _iso_local_now_ms()
+        }
+        if data is not None:
+            payload["data"] = data
+
+        if self.debug_mode:
+            # 模拟返回，不发真实请求
+            logger.info(f"[DEBUG] POST {path} with payload={payload}")
+            return {"debug": True, "url": self._url(path), "payload": payload, "status": "ok"}
+
+        try:
+            response = requests.post(
+                self._url(path), 
+                json=payload,
+                timeout=self.bioyond_config.get("timeout", 30),
+                headers={"Content-Type": "application/json"}
+            ) # 拼接网址+post bioyond接口
+            response.raise_for_status()
+            return response.json()
+        except Exception as e:
+            logger.info(f"{self.bioyond_config['base_url'].rstrip('/')}/{path.lstrip('/')}")
+            logger.error(f"POST {path} 失败: {e}")
+            return {"error": str(e)}
+
+    # -------------------- 单点接口封装 --------------------
+    # 2.17 入库物料（单个）
+    def storage_inbound(self, material_id: str, location_id: str) -> Dict[str, Any]:
+        return self._post_lims("/api/lims/storage/inbound", {
+            "materialId": material_id,
+            "locationId": location_id
+        })
+
+    # 2.18 批量入库（多个）
+    def storage_batch_inbound(self, items: List[Dict[str, str]]) -> Dict[str, Any]:
+        """
+        items = [{"materialId": "...", "locationId": "..."}, ...]
+        """
+        return self._post_lims("/api/lims/storage/batch-inbound", items)
+
+
+
+    def auto_feeding4to3(
+        self,
+        # ★ 修改点：默认模板路径
+        xlsx_path: Optional[str] = "unilabos/devices/workstation/bioyond_cell/样品导入模板.xlsx",
+
+        # ---------------- WH4 - 加样头面 (Z=1, 12个点位) ----------------
+        WH4_x1_y1_z1_1_materialName: str = "", WH4_x1_y1_z1_1_quantity: float = 0.0,
+        WH4_x2_y1_z1_2_materialName: str = "", WH4_x2_y1_z1_2_quantity: float = 0.0,
+        WH4_x3_y1_z1_3_materialName: str = "", WH4_x3_y1_z1_3_quantity: float = 0.0,
+        WH4_x4_y1_z1_4_materialName: str = "", WH4_x4_y1_z1_4_quantity: float = 0.0,
+        WH4_x5_y1_z1_5_materialName: str = "", WH4_x5_y1_z1_5_quantity: float = 0.0,
+        WH4_x1_y2_z1_6_materialName: str = "", WH4_x1_y2_z1_6_quantity: float = 0.0,
+        WH4_x2_y2_z1_7_materialName: str = "", WH4_x2_y2_z1_7_quantity: float = 0.0,
+        WH4_x3_y2_z1_8_materialName: str = "", WH4_x3_y2_z1_8_quantity: float = 0.0,
+        WH4_x4_y2_z1_9_materialName: str = "", WH4_x4_y2_z1_9_quantity: float = 0.0,
+        WH4_x5_y2_z1_10_materialName: str = "", WH4_x5_y2_z1_10_quantity: float = 0.0,
+        WH4_x1_y3_z1_11_materialName: str = "", WH4_x1_y3_z1_11_quantity: float = 0.0,
+        WH4_x2_y3_z1_12_materialName: str = "", WH4_x2_y3_z1_12_quantity: float = 0.0,
+
+        # ---------------- WH4 - 原液瓶面 (Z=2, 9个点位) ----------------
+        WH4_x1_y1_z2_1_materialName: str = "", WH4_x1_y1_z2_1_quantity: float = 0.0, WH4_x1_y1_z2_1_materialType: str = "", WH4_x1_y1_z2_1_targetWH: str = "",
+        WH4_x2_y1_z2_2_materialName: str = "", WH4_x2_y1_z2_2_quantity: float = 0.0, WH4_x2_y1_z2_2_materialType: str = "", WH4_x2_y1_z2_2_targetWH: str = "",
+        WH4_x3_y1_z2_3_materialName: str = "", WH4_x3_y1_z2_3_quantity: float = 0.0, WH4_x3_y1_z2_3_materialType: str = "", WH4_x3_y1_z2_3_targetWH: str = "",
+        WH4_x1_y2_z2_4_materialName: str = "", WH4_x1_y2_z2_4_quantity: float = 0.0, WH4_x1_y2_z2_4_materialType: str = "", WH4_x1_y2_z2_4_targetWH: str = "",
+        WH4_x2_y2_z2_5_materialName: str = "", WH4_x2_y2_z2_5_quantity: float = 0.0, WH4_x2_y2_z2_5_materialType: str = "", WH4_x2_y2_z2_5_targetWH: str = "",
+        WH4_x3_y2_z2_6_materialName: str = "", WH4_x3_y2_z2_6_quantity: float = 0.0, WH4_x3_y2_z2_6_materialType: str = "", WH4_x3_y2_z2_6_targetWH: str = "",
+        WH4_x1_y3_z2_7_materialName: str = "", WH4_x1_y3_z2_7_quantity: float = 0.0, WH4_x1_y3_z2_7_materialType: str = "", WH4_x1_y3_z2_7_targetWH: str = "",
+        WH4_x2_y3_z2_8_materialName: str = "", WH4_x2_y3_z2_8_quantity: float = 0.0, WH4_x2_y3_z2_8_materialType: str = "", WH4_x2_y3_z2_8_targetWH: str = "",
+        WH4_x3_y3_z2_9_materialName: str = "", WH4_x3_y3_z2_9_quantity: float = 0.0, WH4_x3_y3_z2_9_materialType: str = "", WH4_x3_y3_z2_9_targetWH: str = "",
+
+        # ---------------- WH3 - 人工堆栈 (Z=3, 15个点位) ----------------
+        WH3_x1_y1_z3_1_materialType: str = "", WH3_x1_y1_z3_1_materialId: str = "", WH3_x1_y1_z3_1_quantity: float = 0,
+        WH3_x2_y1_z3_2_materialType: str = "", WH3_x2_y1_z3_2_materialId: str = "", WH3_x2_y1_z3_2_quantity: float = 0,
+        WH3_x3_y1_z3_3_materialType: str = "", WH3_x3_y1_z3_3_materialId: str = "", WH3_x3_y1_z3_3_quantity: float = 0,
+        WH3_x1_y2_z3_4_materialType: str = "", WH3_x1_y2_z3_4_materialId: str = "", WH3_x1_y2_z3_4_quantity: float = 0,
+        WH3_x2_y2_z3_5_materialType: str = "", WH3_x2_y2_z3_5_materialId: str = "", WH3_x2_y2_z3_5_quantity: float = 0,
+        WH3_x3_y2_z3_6_materialType: str = "", WH3_x3_y2_z3_6_materialId: str = "", WH3_x3_y2_z3_6_quantity: float = 0,
+        WH3_x1_y3_z3_7_materialType: str = "", WH3_x1_y3_z3_7_materialId: str = "", WH3_x1_y3_z3_7_quantity: float = 0,
+        WH3_x2_y3_z3_8_materialType: str = "", WH3_x2_y3_z3_8_materialId: str = "", WH3_x2_y3_z3_8_quantity: float = 0,
+        WH3_x3_y3_z3_9_materialType: str = "", WH3_x3_y3_z3_9_materialId: str = "", WH3_x3_y3_z3_9_quantity: float = 0,
+        WH3_x1_y4_z3_10_materialType: str = "", WH3_x1_y4_z3_10_materialId: str = "", WH3_x1_y4_z3_10_quantity: float = 0,
+        WH3_x2_y4_z3_11_materialType: str = "", WH3_x2_y4_z3_11_materialId: str = "", WH3_x2_y4_z3_11_quantity: float = 0,
+        WH3_x3_y4_z3_12_materialType: str = "", WH3_x3_y4_z3_12_materialId: str = "", WH3_x3_y4_z3_12_quantity: float = 0,
+        WH3_x1_y5_z3_13_materialType: str = "", WH3_x1_y5_z3_13_materialId: str = "", WH3_x1_y5_z3_13_quantity: float = 0,
+        WH3_x2_y5_z3_14_materialType: str = "", WH3_x2_y5_z3_14_materialId: str = "", WH3_x2_y5_z3_14_quantity: float = 0,
+        WH3_x3_y5_z3_15_materialType: str = "", WH3_x3_y5_z3_15_materialId: str = "", WH3_x3_y5_z3_15_quantity: float = 0,
+    ):
+        """
+        自动化上料（支持两种模式）
+        - Excel 路径存在 → 从 Excel 模板解析
+        - Excel 路径不存在 → 使用手动参数
+        """
+        items: List[Dict[str, Any]] = []
+
+        # ---------- 模式 1: Excel 导入 ----------
+        if xlsx_path:
+            path = Path(xlsx_path)
+            if path.exists():   # ★ 修改点：路径存在才加载
+                try:
+                    df = pd.read_excel(path, sheet_name=0, header=None, engine="openpyxl")
+                except Exception as e:
+                    raise RuntimeError(f"读取 Excel 失败：{e}")
+
+                # 四号手套箱加样头面
+                for _, row in df.iloc[1:13, 2:7].iterrows():
+                    if pd.notna(row[5]):
+                        items.append({
+                            "sourceWHName": "WH4",
+                            "posX": int(row[2]), "posY": int(row[3]), "posZ": int(row[4]),
+                            "materialName": str(row[5]).strip(),
+                            "quantity": float(row[6]) if pd.notna(row[6]) else 0.0,
+                        })
+                # 四号手套箱原液瓶面
+                for _, row in df.iloc[14:23, 2:9].iterrows():
+                    if pd.notna(row[5]):
+                        items.append({
+                            "sourceWHName": "WH4",
+                            "posX": int(row[2]), "posY": int(row[3]), "posZ": int(row[4]),
+                            "materialName": str(row[5]).strip(),
+                            "quantity": float(row[6]) if pd.notna(row[6]) else 0.0,
+                            "materialType": str(row[7]).strip() if pd.notna(row[7]) else "",
+                            "targetWH": str(row[8]).strip() if pd.notna(row[8]) else "",
+                        })
+                # 三号手套箱人工堆栈
+                for _, row in df.iloc[25:40, 2:7].iterrows():
+                    if pd.notna(row[5]) or pd.notna(row[6]):
+                        items.append({
+                            "sourceWHName": "WH3",
+                            "posX": int(row[2]), "posY": int(row[3]), "posZ": int(row[4]),
+                            "materialType": str(row[5]).strip() if pd.notna(row[5]) else "",
+                            "materialId": str(row[6]).strip() if pd.notna(row[6]) else "",
+                            "quantity": 1
+                        })
+            else:
+                logger.warning(f"未找到 Excel 文件 {xlsx_path}，自动切换到手动参数模式。")
+
+        # ---------- 模式 2: 手动填写 ----------
+        if not items:
+            params = locals()
+            for name, value in params.items():
+                if name.startswith("WH4") and "materialName" in name and value:
+                    idx = name.split("_")
+                    items.append({
+                        "sourceWHName": "WH4",
+                        "posX": int(idx[1][1:]), "posY": int(idx[2][1:]), "posZ": int(idx[3][1:]),
+                        "materialName": value,
+                        "quantity": float(params.get(name.replace("materialName", "quantity"), 0.0))
+                    })
+                elif name.startswith("WH4") and "materialType" in name and (value or params.get(name.replace("materialType", "materialName"), "")):
+                    idx = name.split("_")
+                    items.append({
+                        "sourceWHName": "WH4",
+                        "posX": int(idx[1][1:]), "posY": int(idx[2][1:]), "posZ": int(idx[3][1:]),
+                        "materialName": params.get(name.replace("materialType", "materialName"), ""),
+                        "quantity": float(params.get(name.replace("materialType", "quantity"), 0.0)),
+                        "materialType": value,
+                        "targetWH": params.get(name.replace("materialType", "targetWH"), ""),
+                    })
+                elif name.startswith("WH3") and "materialType" in name and (value or params.get(name.replace("materialType", "materialId"), "")):
+                    idx = name.split("_")
+                    items.append({
+                        "sourceWHName": "WH3",
+                        "posX": int(idx[1][1:]), "posY": int(idx[2][1:]), "posZ": int(idx[3][1:]),
+                        "materialType": value,
+                        "materialId": params.get(name.replace("materialType", "materialId"), ""),
+                        "quantity": int(params.get(name.replace("materialType", "quantity"), 1)),
+                    })
+
+        if not items:
+            logger.warning("没有有效的上料条目，已跳过提交。")
+            return {"code": 0, "message": "no valid items", "data": []}
+
+        return self._post_lims("/api/lims/order/auto-feeding4to3", items)
+
+
+
+
+    # 3.30 自动化上料(老版本)
+    def auto_feeding4to3_from_xlsx(self, xlsx_path: str) -> Dict[str, Any]:
+        """
+        根据固定模板解析 Excel：
+        - 四号手套箱加样头面 (2-13行, 3-7列)
+        - 四号手套箱原液瓶面 (15-23行, 3-9列)        
+        - 三号手套箱人工堆栈 (26-40行, 3-7列)
+        """
+        path = Path(xlsx_path)
+        if not path.exists():
+            raise FileNotFoundError(f"未找到 Excel 文件：{path}")
+
+        try:
+            df = pd.read_excel(path, sheet_name=0, header=None, engine="openpyxl")
+        except Exception as e:
+            raise RuntimeError(f"读取 Excel 失败：{e}")
+
+        items: List[Dict[str, Any]] = []
+
+        # 四号手套箱 - 加样头面（2-13行, 3-7列）
+        for _, row in df.iloc[1:13, 2:7].iterrows():
+            item = {
+                "sourceWHName": "四号手套箱堆栈",
+                "posX": int(row[2]),
+                "posY": int(row[3]),
+                "posZ": int(row[4]),
+                "materialName": str(row[5]).strip() if pd.notna(row[5]) else "",
+                "quantity": float(row[6]) if pd.notna(row[6]) else 0.0,
+            }
+            if item["materialName"]:
+                items.append(item)
+
+        # 四号手套箱 - 原液瓶面（15-23行, 3-9列）
+        for _, row in df.iloc[14:23, 2:9].iterrows():
+            item = {
+                "sourceWHName": "四号手套箱堆栈",
+                "posX": int(row[2]),
+                "posY": int(row[3]),
+                "posZ": int(row[4]),
+                "materialName": str(row[5]).strip() if pd.notna(row[5]) else "",
+                "quantity": float(row[6]) if pd.notna(row[6]) else 0.0,
+                "materialType": str(row[7]).strip() if pd.notna(row[7]) else "",
+                "targetWH": str(row[8]).strip() if pd.notna(row[8]) else "",
+            }
+            if item["materialName"]:
+                items.append(item)
+
+        # 三号手套箱人工堆栈（26-40行, 3-7列）
+        for _, row in df.iloc[25:40, 2:7].iterrows():
+            item = {
+                "sourceWHName": "三号手套箱人工堆栈",
+                "posX": int(row[2]),
+                "posY": int(row[3]),
+                "posZ": int(row[4]),
+                "materialType": str(row[5]).strip() if pd.notna(row[5]) else "",
+                "materialId": str(row[6]).strip() if pd.notna(row[6]) else "",
+                "quantity": 1  # 默认数量1
+            }
+            if item["materialId"] or item["materialType"]:
+                items.append(item)
+
+        return self._post_lims("/api/lims/order/auto-feeding4to3", items)
+
+    def auto_batch_outbound_from_xlsx(self, xlsx_path: str) -> Dict[str, Any]:
+        """
+        3.31 自动化下料（Excel -> JSON -> POST /api/lims/storage/auto-batch-out-bound）
+        """
+        path = Path(xlsx_path)
+        if not path.exists():
+            raise FileNotFoundError(f"未找到 Excel 文件：{path}")
+
+        try:
+            df = pd.read_excel(path, sheet_name=0, engine="openpyxl")
+        except Exception as e:
+            raise RuntimeError(f"读取 Excel 失败：{e}")
+
+        def pick(names: List[str]) -> Optional[str]:
+            for n in names:
+                if n in df.columns:
+                    return n
+            return None
+
+        c_loc = pick(["locationId", "库位ID", "库位Id", "库位id"])
+        c_wh  = pick(["warehouseId", "仓库ID", "仓库Id", "仓库id"])
+        c_qty = pick(["数量", "quantity"])
+        c_x   = pick(["x", "X", "posX", "坐标X"])
+        c_y   = pick(["y", "Y", "posY", "坐标Y"])
+        c_z   = pick(["z", "Z", "posZ", "坐标Z"])
+
+        required = [c_loc, c_wh, c_qty, c_x, c_y, c_z]
+        if any(c is None for c in required):
+            raise KeyError("Excel 缺少必要列：locationId/warehouseId/数量/x/y/z（支持多别名，至少要能匹配到）。")
+
+        def as_int(v, d=0):
+            try:
+                if pd.isna(v): return d
+                return int(v)
+            except Exception:
+                try:
+                    return int(float(v))
+                except Exception:
+                    return d
+
+        def as_float(v, d=0.0):
+            try:
+                if pd.isna(v): return d
+                return float(v)
+            except Exception:
+                return d
+
+        def as_str(v, d=""):
+            if v is None or (isinstance(v, float) and pd.isna(v)): return d
+            s = str(v).strip()
+            return s if s else d
+
+        items: List[Dict[str, Any]] = []
+        for _, row in df.iterrows():
+            items.append({
+                "locationId": as_str(row[c_loc]),
+                "warehouseId": as_str(row[c_wh]),
+                "quantity": as_float(row[c_qty]),
+                "x": as_int(row[c_x]),
+                "y": as_int(row[c_y]),
+                "z": as_int(row[c_z]),
+            })
+
+        return self._post_lims("/api/lims/storage/auto-batch-out-bound", items)
+
+    # 2.14 新建实验
+    def create_orders(self, xlsx_path: str) -> Dict[str, Any]:
+        """
+        从 Excel 解析并创建实验（2.14）
+        约定：
+        - batchId = Excel 文件名（不含扩展名）
+        - 物料列：所有以 "(g)" 结尾（不再读取“总质量(g)”列）
+        - totalMass 自动计算为所有物料质量之和
+        - createTime 缺失或为空时自动填充为当前日期（YYYY/M/D）
+        """
+        path = Path(xlsx_path)
+        if not path.exists():
+            raise FileNotFoundError(f"未找到 Excel 文件：{path}")
+
+        try:
+            df = pd.read_excel(path, sheet_name=0, engine="openpyxl")
+        except Exception as e:
+            raise RuntimeError(f"读取 Excel 失败：{e}")
+
+        # 列名容错：返回可选列名，找不到则返回 None
+        def _pick(col_names: List[str]) -> Optional[str]:
+            for c in col_names:
+                if c in df.columns:
+                    return c
+            return None
+
+        col_order_name = _pick(["配方ID", "orderName", "订单编号"])
+        col_create_time = _pick(["创建日期", "createTime"])
+        col_bottle_type = _pick(["配液瓶类型", "bottleType"])
+        col_mix_time = _pick(["混匀时间(s)", "mixTime"])
+        col_load = _pick(["扣电组装分液体积", "loadSheddingInfo"])
+        col_pouch = _pick(["软包组装分液体积", "pouchCellInfo"])
+        col_cond = _pick(["电导测试分液体积", "conductivityInfo"])
+        col_cond_cnt = _pick(["电导测试分液瓶数", "conductivityBottleCount"])
+
+        # 物料列：所有以 (g) 结尾
+        material_cols = [c for c in df.columns if isinstance(c, str) and c.endswith("(g)")]
+        if not material_cols:
+            raise KeyError("未发现任何以“(g)”结尾的物料列，请检查表头。")
+
+        batch_id = path.stem
+
+        def _to_ymd_slash(v) -> str:
+            # 统一为 "YYYY/M/D"；为空或解析失败则用当前日期
+            if v is None or (isinstance(v, float) and pd.isna(v)) or str(v).strip() == "":
+                ts = datetime.now()
+            else:
+                try:
+                    ts = pd.to_datetime(v)
+                except Exception:
+                    ts = datetime.now()
+            return f"{ts.year}/{ts.month}/{ts.day}"
+
+        def _as_int(val, default=0) -> int:
+            try:
+                if pd.isna(val):
+                    return default
+                return int(val)
+            except Exception:
+                return default
+
+        def _as_str(val, default="") -> str:
+            if val is None or (isinstance(val, float) and pd.isna(val)):
+                return default
+            s = str(val).strip()
+            return s if s else default
+
+        orders: List[Dict[str, Any]] = []
+
+        for idx, row in df.iterrows():
+            mats: List[Dict[str, Any]] = []
+            total_mass = 0.0
+
+            for mcol in material_cols:
+                val = row.get(mcol, None)
+                if val is None or (isinstance(val, float) and pd.isna(val)):
+                    continue
+                try:
+                    mass = float(val)
+                except Exception:
+                    continue
+                if mass > 0:
+                    mats.append({"name": mcol.replace("(g)", ""), "mass": mass})
+                    total_mass += mass
+
+            order_data = {
+                "batchId": batch_id,
+                "orderName": _as_str(row[col_order_name], default=f"{batch_id}_order_{idx+1}") if col_order_name else f"{batch_id}_order_{idx+1}",
+                "createTime": _to_ymd_slash(row[col_create_time]) if col_create_time else _to_ymd_slash(None),
+                "bottleType": _as_str(row[col_bottle_type], default="配液小瓶") if col_bottle_type else "配液小瓶",
+                "mixTime": _as_int(row[col_mix_time]) if col_mix_time else 0,
+                "loadSheddingInfo": _as_int(row[col_load]) if col_load else 0,
+                "pouchCellInfo": _as_int(row[col_pouch]) if col_pouch else 0,
+                "conductivityInfo": _as_int(row[col_cond]) if col_cond else 0,
+                "conductivityBottleCount": _as_int(row[col_cond_cnt]) if col_cond_cnt else 0,
+                "materialInfos": mats,
+                "totalMass": round(total_mass, 4)  # 自动汇总
+            }
+            orders.append(order_data)
+
+        # print(orders)
+        while True:
+            time.sleep(5)
+            response = self._post_lims("/api/lims/order/orders", orders)
+            if response.get("data", []):
+                break
+            logger.info(f"等待配液实验创建完成")
+
+
+       
+        # self.order_status[response["data"]["orderCode"]] = "running"
+
+        # while True:
+        #     time.sleep(5)
+        #     if self.order_status.get(response["data"]["orderCode"], None) == "finished":
+        #         logger.info(f"配液实验已完成 ，即将执行 3-2-1 转运")
+        #         break
+        #     logger.info(f"等待配液实验完成")
+
+        # self.transfer_3_to_2_to_1()
+        # self.wait_for_transfer_task()
+        # logger.info(f"3-2-1 转运完成，返回结果")
+        # return r321
+        return response
+
+    # 2.7 启动调度
+    def scheduler_start(self) -> Dict[str, Any]:
+        return self._post_lims("/api/lims/scheduler/start")
+    # 3.10 停止调度
+    def scheduler_stop(self) -> Dict[str, Any]:
+
+        """
+        停止调度 (3.10)
+        请求体只包含 apiKey 和 requestTime
+        """
+        return self._post_lims("/api/lims/scheduler/stop")
+            # 2.9 继续调度
+    # 2.9 继续调度
+    def scheduler_continue(self) -> Dict[str, Any]:
+        """
+        继续调度 (2.9)
+        请求体只包含 apiKey 和 requestTime
+        """
+        return self._post_lims("/api/lims/scheduler/continue")
+
+    # 2.24 物料变更推送
+    def report_material_change(self, material_obj: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        material_obj 按 2.24 的裸对象格式（包含 id/typeName/locations/detail 等）
+        """
+        return self._post_report_raw("/report/material_change", material_obj)
+
+    # 2.32 3-2-1 物料转运
+    def transfer_3_to_2_to_1(self,
+                            #  source_wh_id: Optional[str] = None,
+                            source_wh_id: Optional[str] = '3a19debc-84b4-0359-e2d4-b3beea49348b',
+                             source_x: int = 1, source_y: int = 1, source_z: int = 1) -> Dict[str, Any]:
+        payload: Dict[str, Any] = {
+            "sourcePosX": source_x, "sourcePosY": source_y, "sourcePosZ": source_z
+        }
+        if source_wh_id:
+            payload["sourceWHID"] = source_wh_id
+        return self._post_lims("/api/lims/order/transfer-task3To2To1", payload)
+
+    # 3.35 1→2 物料转运
+    def transfer_1_to_2(self) -> Dict[str, Any]:
+        """
+        1→2 物料转运
+        URL: /api/lims/order/transfer-task1To2
+        只需要 apiKey 和 requestTime
+        """
+        return self._post_lims("/api/lims/order/transfer-task1To2")
+   
+    # 2.5 批量查询实验报告(post过滤关键字查询)
+    def order_list_v2(self,
+                      timeType: str = "",
+                      beginTime: str = "",
+                      endTime: str = "",
+                      status: str = "", # 60表示正在运行,80表示完成，90表示失败
+                      filter: str = "",
+                      skipCount: int = 0,
+                      pageCount: int = 1, # 显示多少页数据
+                      sorting: str = "") -> Dict[str, Any]:
+        """
+        批量查询实验报告的详细信息 (2.5)
+        URL: /api/lims/order/order-list
+        参数默认值和接口文档保持一致
+        """
+        data: Dict[str, Any] = {
+            "timeType": timeType,
+            "beginTime": beginTime,
+            "endTime": endTime,
+            "status": status,
+            "filter": filter,
+            "skipCount": skipCount,
+            "pageCount": pageCount,
+            "sorting": sorting
+        }
+        return self._post_lims("/api/lims/order/order-list", data)
+
+    # 一直post执行bioyond接口查询任务状态
+    def wait_for_transfer_task(self, timeout: int = 3000, interval: int = 5, filter_text: Optional[str] = None) -> bool:
+        """
+        轮询查询物料转移任务是否成功完成 (status=80)
+        - timeout: 最大等待秒数 (默认600秒)
+        - interval: 轮询间隔秒数 (默认3秒)
+        返回 True 表示找到并成功完成，False 表示超时未找到
+        """
+        now = datetime.now()
+        beginTime = now.strftime("%Y-%m-%dT%H:%M:%SZ")
+        endTime = (now + timedelta(minutes=5)).strftime("%Y-%m-%dT%H:%M:%SZ")
+        print(beginTime, endTime)
+
+        deadline = time.time() + timeout
+
+        while time.time() < deadline:
+            result = self.order_list_v2(
+                timeType="",
+                beginTime=beginTime,
+                endTime=endTime,
+                status="",
+                filter=filter_text,
+                skipCount=0,
+                pageCount=1,
+                sorting=""
+            )
+            print(result)
+
+            items = result.get("data", {}).get("items", [])
+            for item in items:
+                name = item.get("name", "")
+                status = item.get("status")
+                # 改成用 filter_text 判断
+                if (not filter_text or filter_text in name) and status == 80:
+                    logger.info(f"硬件转移动作完成: {name}, status={status}")
+                    return True
+
+                logger.info(f"等待中: {name}, status={status}")
+            time.sleep(interval)
+
+        logger.warning("超时未找到成功的物料转移任务")
+        return False
+
+
+# --------------------------------
+if __name__ == "__main__":
+    ws = BioyondCellWorkstation()
+    ws.scheduler_stop()
+    # re=ws.scheduler_start()
+    print(re)
+    # logger.info("调度启动完成")
+
+    # ws.scheduler_continue()
+    # 3.30 上料：读取模板 Excel 自动解析并 POST
+    # r1 = ws.auto_feeding4to3_from_xlsx(r"C:\ML\GitHub\Uni-Lab-OS\unilabos\devices\workstation\bioyond_cell\样品导入模板.xlsx")
+    # ws.wait_for_transfer_task(filter_text="物料转移任务")
+    # logger.info("4号箱向3号箱转运物料转移任务已完成")
+
+    # ws.scheduler_start()
+    # print(r1["payload"]["data"])   # 调试模式下可直接看到要发的 JSON items
+
+    # # 新建实验
+    # response = ws.create_orders("C:/ML/GitHub/Uni-Lab-OS/unilabos/devices/workstation/bioyond_cell/2025092701.xlsx")
+    # logger.info(response)
+    # data_list = response.get("data", [])
+    # order_name = data_list[0].get("orderName", "")
+
+    # ws.wait_for_transfer_task(filter_text=order_name)
+    # ws.wait_for_transfer_task(filter_text='DP20250927001')
+    # logger.info("3号站内实验完成")
+    # # ws.scheduler_start()
+    # # print(res)
+    # ws.transfer_3_to_2_to_1()
+    # ws.wait_for_transfer_task(filter_text="物料转移任务")
+    # logger.info("3号站向2号站向1号站转移任务完成")
+        # r321 = self.wait_for_transfer_task()
+    #1号站启动
+    # ws.transfer_1_to_2()
+    # ws.wait_for_transfer_task(filter_text="物料转移任务")
+    # logger.info("1号站向2号站转移任务完成")
+    # logger.info("全流程结束")
+
+    # 3.31 下料：同理
+    # r2 = ws.auto_batch_outbound_from_xlsx(r"C:/path/样品导入模板 (8).xlsx")
+    # print(r2["payload"]["data"])

unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_material_management.py

@@ -0,0 +1,374 @@
+"""
+Bioyond物料管理实现
+Bioyond Material Management Implementation
+
+基于Bioyond系统的物料管理，支持从Bioyond系统同步物料到UniLab工作站
+"""
+from typing import Dict, Any, List, Optional, Union
+import json
+import asyncio
+from abc import ABC, abstractmethod
+
+from pylabrobot.resources import (
+    Resource as PLRResource,
+    Container,
+    Deck,
+    Coordinate as PLRCoordinate,
+)
+
+from unilabos.ros.nodes.resource_tracker import DeviceNodeResourceTracker
+from unilabos.utils.log import logger
+from unilabos.resources.graphio import (
+    resource_plr_to_ulab, 
+    resource_ulab_to_plr,
+    resource_bioyond_to_ulab,
+    resource_bioyond_container_to_ulab,
+    resource_ulab_to_bioyond
+)
+from .workstation_material_management import MaterialManagementBase
+
+
+class BioyondMaterialManagement(MaterialManagementBase):
+    """Bioyond物料管理类
+    
+    实现从Bioyond系统同步物料到UniLab工作站的功能：
+    1. 从Bioyond系统获取物料数据
+    2. 转换为UniLab格式
+    3. 同步到PyLabRobot Deck
+    4. 支持双向同步
+    """
+    
+    def __init__(
+        self,
+        device_id: str,
+        deck_config: Dict[str, Any],
+        resource_tracker: DeviceNodeResourceTracker,
+        children_config: Dict[str, Dict[str, Any]] = None,
+        bioyond_config: Dict[str, Any] = None
+    ):
+        self.bioyond_config = bioyond_config or {}
+        self.bioyond_api_client = None
+        self.sync_interval = self.bioyond_config.get("sync_interval", 30)  # 同步间隔（秒）
+        
+        # 初始化父类
+        super().__init__(device_id, deck_config, resource_tracker, children_config)
+        
+        # 初始化Bioyond API客户端
+        self._initialize_bioyond_client()
+        
+        # 启动同步任务
+        self._start_sync_task()
+    
+    def _initialize_bioyond_client(self):
+        """初始化Bioyond API客户端"""
+        try:
+            # 这里应该根据实际的Bioyond API实现
+            # 暂时使用模拟客户端
+            self.bioyond_api_client = BioyondAPIClient(self.bioyond_config)
+            logger.info(f"Bioyond API客户端初始化成功")
+        except Exception as e:
+            logger.error(f"Bioyond API客户端初始化失败: {e}")
+            self.bioyond_api_client = None
+    
+    def _start_sync_task(self):
+        """启动同步任务"""
+        if self.bioyond_api_client:
+            # 创建异步同步任务
+            asyncio.create_task(self._periodic_sync())
+            logger.info(f"Bioyond同步任务已启动，间隔: {self.sync_interval}秒")
+    
+    async def _periodic_sync(self):
+        """定期同步任务"""
+        while True:
+            try:
+                await self.sync_from_bioyond()
+                await asyncio.sleep(self.sync_interval)
+            except Exception as e:
+                logger.error(f"Bioyond同步任务出错: {e}")
+                await asyncio.sleep(self.sync_interval)
+    
+    async def sync_from_bioyond(self) -> bool:
+        """从Bioyond系统同步物料"""
+        try:
+            if not self.bioyond_api_client:
+                logger.warning("Bioyond API客户端未初始化")
+                return False
+            
+            # 1. 从Bioyond获取物料数据
+            bioyond_data = await self.bioyond_api_client.get_materials()
+            if not bioyond_data:
+                logger.warning("从Bioyond获取物料数据为空")
+                return False
+            
+            # 2. 转换为UniLab格式
+            if isinstance(bioyond_data, dict) and "data" in bioyond_data:
+                # 容器格式数据
+                unilab_resources = resource_bioyond_container_to_ulab(bioyond_data)
+            else:
+                # 物料列表格式数据
+                unilab_resources = resource_bioyond_to_ulab(bioyond_data)
+            
+            # 3. 转换为PLR格式并分配到Deck
+            await self._assign_resources_to_deck(unilab_resources)
+            
+            logger.info(f"从Bioyond同步了 {len(unilab_resources)} 个资源")
+            return True
+            
+        except Exception as e:
+            logger.error(f"从Bioyond同步物料失败: {e}")
+            return False
+    
+    async def sync_to_bioyond(self, plr_resource: PLRResource) -> bool:
+        """将本地物料变更同步到Bioyond系统"""
+        try:
+            if not self.bioyond_api_client:
+                logger.warning("Bioyond API客户端未初始化")
+                return False
+            
+            # 1. 转换为UniLab格式
+            unilab_resource = resource_plr_to_ulab(plr_resource)
+            
+            # 2. 转换为Bioyond格式
+            bioyond_materials = resource_ulab_to_bioyond([unilab_resource])
+            
+            # 3. 发送到Bioyond系统
+            success = await self.bioyond_api_client.update_materials(bioyond_materials)
+            
+            if success:
+                logger.info(f"成功同步物料 {plr_resource.name} 到Bioyond")
+            else:
+                logger.warning(f"同步物料 {plr_resource.name} 到Bioyond失败")
+            
+            return success
+            
+        except Exception as e:
+            logger.error(f"同步物料到Bioyond失败: {e}")
+            return False
+    
+    async def _assign_resources_to_deck(self, unilab_resources: List[Dict[str, Any]]):
+        """将UniLab资源分配到Deck"""
+        try:
+            # 转换为PLR格式
+            from unilabos.resources.graphio import list_to_nested_dict
+            nested_resources = list_to_nested_dict(unilab_resources)
+            plr_resources = resource_ulab_to_plr(nested_resources)
+            
+            # 分配资源到Deck
+            if hasattr(plr_resources, 'children'):
+                resources_to_assign = plr_resources.children
+            elif isinstance(plr_resources, list):
+                resources_to_assign = plr_resources
+            else:
+                resources_to_assign = [plr_resources]
+            
+            for resource in resources_to_assign:
+                try:
+                    # 获取资源位置
+                    if hasattr(resource, 'location') and resource.location:
+                        location = PLRCoordinate(resource.location.x, resource.location.y, resource.location.z)
+                    else:
+                        location = PLRCoordinate(0, 0, 0)
+                    
+                    # 分配资源到Deck
+                    self.plr_deck.assign_child_resource(resource, location)
+                    
+                    # 注册到resource tracker
+                    self.resource_tracker.add_resource(resource)
+                    
+                    # 保存资源引用
+                    self.plr_resources[resource.name] = resource
+                    
+                except Exception as e:
+                    logger.error(f"分配资源 {resource.name} 到Deck失败: {e}")
+            
+            logger.info(f"成功分配了 {len(resources_to_assign)} 个资源到Deck")
+            
+        except Exception as e:
+            logger.error(f"分配资源到Deck失败: {e}")
+    
+    def _create_resource_by_type(
+        self, 
+        resource_id: str, 
+        resource_type: str, 
+        config: Dict[str, Any], 
+        data: Dict[str, Any], 
+        location: PLRCoordinate
+    ) -> Optional[PLRResource]:
+        """根据类型创建Bioyond相关资源"""
+        try:
+            # 这里可以根据需要实现特定的Bioyond资源类型
+            # 目前使用通用的容器类型
+            if resource_type in ["container", "plate", "well"]:
+                return self._create_generic_container(resource_id, resource_type, config, data, location)
+            else:
+                logger.warning(f"未知的Bioyond资源类型: {resource_type}")
+                return None
+                
+        except Exception as e:
+            logger.error(f"创建Bioyond资源失败 {resource_id} ({resource_type}): {e}")
+            return None
+    
+    def _create_generic_container(
+        self, 
+        resource_id: str, 
+        resource_type: str, 
+        config: Dict[str, Any], 
+        data: Dict[str, Any], 
+        location: PLRCoordinate
+    ) -> Optional[PLRResource]:
+        """创建通用容器资源"""
+        try:
+            from pylabrobot.resources import Plate, Well
+            
+            if resource_type == "plate":
+                return Plate(
+                    name=resource_id,
+                    size_x=config.get("size_x", 127.76),
+                    size_y=config.get("size_y", 85.48),
+                    size_z=config.get("size_z", 14.35),
+                    location=location,
+                    category="plate"
+                )
+            elif resource_type == "well":
+                return Well(
+                    name=resource_id,
+                    size_x=config.get("size_x", 9.0),
+                    size_y=config.get("size_y", 9.0),
+                    size_z=config.get("size_z", 10.0),
+                    location=location,
+                    category="well"
+                )
+            else:
+                return Container(
+                    name=resource_id,
+                    size_x=config.get("size_x", 50.0),
+                    size_y=config.get("size_y", 50.0),
+                    size_z=config.get("size_z", 10.0),
+                    location=location,
+                    category="container"
+                )
+                
+        except Exception as e:
+            logger.error(f"创建通用容器失败 {resource_id}: {e}")
+            return None
+    
+    def get_bioyond_materials(self) -> List[Dict[str, Any]]:
+        """获取当前Bioyond物料列表"""
+        try:
+            # 将当前PLR资源转换为Bioyond格式
+            bioyond_materials = []
+            for resource in self.plr_resources.values():
+                unilab_resource = resource_plr_to_ulab(resource)
+                bioyond_materials.extend(resource_ulab_to_bioyond([unilab_resource]))
+            return bioyond_materials
+        except Exception as e:
+            logger.error(f"获取Bioyond物料列表失败: {e}")
+            return []
+    
+    def update_material_from_bioyond(self, material_id: str, bioyond_data: Dict[str, Any]) -> bool:
+        """从Bioyond数据更新指定物料"""
+        try:
+            # 查找现有物料
+            material = self.find_material_by_id(material_id)
+            if not material:
+                logger.warning(f"未找到物料: {material_id}")
+                return False
+            
+            # 转换Bioyond数据为UniLab格式
+            unilab_resources = resource_bioyond_to_ulab([bioyond_data])
+            if not unilab_resources:
+                logger.warning(f"转换Bioyond数据失败: {material_id}")
+                return False
+            
+            # 更新物料属性
+            unilab_resource = unilab_resources[0]
+            material.name = unilab_resource.get("name", material.name)
+            
+            # 更新位置
+            position = unilab_resource.get("position", {})
+            if position:
+                material.location = PLRCoordinate(
+                    position.get("x", 0),
+                    position.get("y", 0),
+                    position.get("z", 0)
+                )
+            
+            logger.info(f"成功更新物料: {material_id}")
+            return True
+            
+        except Exception as e:
+            logger.error(f"更新物料失败 {material_id}: {e}")
+            return False
+
+
+class BioyondAPIClient:
+    """Bioyond API客户端（模拟实现）
+    
+    实际使用时需要根据Bioyond系统的API接口实现
+    """
+    
+    def __init__(self, config: Dict[str, Any]):
+        self.config = config
+        self.base_url = config.get("base_url", "http://localhost:8080")
+        self.api_key = config.get("api_key", "")
+        self.timeout = config.get("timeout", 30)
+    
+    async def get_materials(self) -> Optional[Union[Dict[str, Any], List[Dict[str, Any]]]]:
+        """从Bioyond系统获取物料数据"""
+        try:
+            # 这里应该实现实际的API调用
+            # 暂时返回模拟数据
+            logger.info("从Bioyond API获取物料数据")
+            
+            # 模拟API调用延迟
+            await asyncio.sleep(0.1)
+            
+            # 返回模拟数据（实际应该从API获取）
+            return {
+                "data": [],
+                "code": 1,
+                "message": "success",
+                "timestamp": 1234567890
+            }
+            
+        except Exception as e:
+            logger.error(f"Bioyond API调用失败: {e}")
+            return None
+    
+    async def update_materials(self, materials: List[Dict[str, Any]]) -> bool:
+        """更新Bioyond系统中的物料数据"""
+        try:
+            # 这里应该实现实际的API调用
+            logger.info(f"更新Bioyond系统中的 {len(materials)} 个物料")
+            
+            # 模拟API调用延迟
+            await asyncio.sleep(0.1)
+            
+            # 模拟成功响应
+            return True
+            
+        except Exception as e:
+            logger.error(f"更新Bioyond物料失败: {e}")
+            return False
+    
+    async def get_material_by_id(self, material_id: str) -> Optional[Dict[str, Any]]:
+        """根据ID获取单个物料"""
+        try:
+            # 这里应该实现实际的API调用
+            logger.info(f"从Bioyond API获取物料: {material_id}")
+            
+            # 模拟API调用延迟
+            await asyncio.sleep(0.1)
+            
+            # 返回模拟数据
+            return {
+                "id": material_id,
+                "name": f"material_{material_id}",
+                "type": "container",
+                "quantity": 1.0,
+                "unit": "个"
+            }
+            
+        except Exception as e:
+            logger.error(f"获取Bioyond物料失败 {material_id}: {e}")
+            return None

unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_workstation copy.py

@@ -0,0 +1,715 @@
+# -*- coding: utf-8 -*-
+from typing import Dict, Any, List, Optional
+from datetime import datetime, timezone
+import requests
+from pathlib import Path
+import pandas as pd
+import time
+from datetime import datetime, timezone, timedelta
+import re
+import threading
+from unilabos.devices.workstation.workstation_base import WorkstationBase
+from unilabos.devices.workstation.workstation_http_service import WorkstationHTTPService
+from unilabos.utils.log import logger
+from pylabrobot.resources.deck import Deck
+
+
+def _iso_utc_now_ms() -> str:
+    # 文档要求：到毫秒 + Z，例如 2025-08-15T05:43:22.814Z
+    dt = datetime.now(timezone.utc)
+    return dt.strftime("%Y-%m-%dT%H:%M:%S.") + f"{int(dt.microsecond/1000):03d}Z"
+
+
+class BioyondWorkstation(WorkstationBase):
+    """
+    集成 Bioyond LIMS 的工作站示例，
+    覆盖：入库(2.17/2.18) → 新建实验(2.14) → 启动调度(2.7) →
+    运行中推送：物料变更(2.24)、步骤完成(2.21)、订单完成(2.23) →
+    查询实验(2.5/2.6) → 3-2-1 转运(2.32) → 样品/废料取出(2.28)
+    """
+
+    def __init__(
+        self,
+        bioyond_config: Optional[Dict[str, Any]] = None,
+        station_resource: Optional[Dict[str, Any]] = None,
+        debug_mode: bool = False,   # 增加调试模式开关
+        *args, **kwargs,
+    ):
+        self.bioyond_config = bioyond_config or {
+            "base_url": "http://192.168.1.200:44386",
+            "api_key": "8A819E5C",
+            "timeout": 30,
+            "report_token": "CHANGE_ME_TOKEN"
+        }
+
+        self.http_service_started = False
+        self.debug_mode = debug_mode
+        super().__init__(deck=Deck, station_resource=station_resource, *args, **kwargs)
+        logger.info(f"Bioyond工作站初始化完成 (debug_mode={self.debug_mode})")
+
+        # 实例化并在后台线程启动 HTTP 报送服务
+        self.order_status = {}
+        try:
+            t = threading.Thread(target=self._start_http_service_bg, daemon=True, name="unilab_http")
+            t.start()
+
+        except Exception as e:
+            logger.error(f"unilab-server后台启动报送服务失败: {e}")
+
+    @property
+    def device_id(self) -> str:
+        try:
+            return getattr(self, "_ros_node").device_id  # 兼容 ROS 场景
+        except Exception:
+            return "bioyond_workstation"
+
+    def _start_http_service_bg(self, host: str = "192.168.1.104", port: int = 8080) -> None:
+        logger.info("进入 _start_http_service_bg 函数")
+        try:
+            self.service = WorkstationHTTPService(self, host=host, port=port)
+            logger.info("WorkstationHTTPService 实例化完成")
+            self.service.start()
+            self.http_service_started = True
+            logger.info(f"unilab_HTTP 服务成功启动: {host}:{port}")
+
+            #一直挂着，直到进程退出
+            while True:
+                time.sleep(1)
+
+        except Exception as e:
+            self.http_service_started = False
+            logger.error(f"启动unilab_HTTP服务失败: {e}", exc_info=True)
+
+    # -------------------- 基础HTTP封装 --------------------
+    def _url(self, path: str) -> str:
+        return f"{self.bioyond_config['base_url'].rstrip('/')}/{path.lstrip('/')}"
+
+    def _post_lims(self, path: str, data: Optional[Any] = None) -> Dict[str, Any]:
+        """LIMS API：大多数接口用 {apiKey/requestTime,data} 包装"""
+        payload = {
+            "apiKey": self.bioyond_config["api_key"],
+            "requestTime": _iso_utc_now_ms()
+        }
+        if data is not None:
+            payload["data"] = data
+
+        if self.debug_mode:
+            # 模拟返回，不发真实请求
+            logger.info(f"[DEBUG] POST {path} with payload={payload}")
+            return {"debug": True, "url": self._url(path), "payload": payload, "status": "ok"}
+
+        try:
+            r = requests.post(
+                self._url(path),
+                json=payload,
+                timeout=self.bioyond_config.get("timeout", 30),
+                headers={"Content-Type": "application/json"}
+            )
+            r.raise_for_status()
+            return r.json()
+        except Exception as e:
+            logger.error(f"POST {path} 失败: {e}")
+            return {"error": str(e)}
+
+    # --- 修正：_post_report / _post_report_raw 同样走 debug_mode ---
+    def _post_report(self, path: str, data: Dict[str, Any]) -> Dict[str, Any]:
+        payload = {
+            "token": self.bioyond_config.get("report_token", ""),
+            "request_time": _iso_utc_now_ms(),
+            "data": data
+        }
+        if self.debug_mode:
+            logger.info(f"[DEBUG] POST {path} with payload={payload}")
+            return {"debug": True, "url": self._url(path), "payload": payload, "status": "ok"}
+        try:
+            r = requests.post(self._url(path), json=payload,
+                            timeout=self.bioyond_config.get("timeout", 30),
+                            headers={"Content-Type": "application/json"})
+            r.raise_for_status()
+            return r.json()
+        except Exception as e:
+            logger.error(f"POST {path} 失败: {e}")
+            return {"error": str(e)}
+
+    def _post_report_raw(self, path: str, body: Dict[str, Any]) -> Dict[str, Any]:
+        if self.debug_mode:
+            logger.info(f"[DEBUG] POST {path} with body={body}")
+            return {"debug": True, "url": self._url(path), "payload": body, "status": "ok"}
+        try:
+            r = requests.post(self._url(path), json=body,
+                            timeout=self.bioyond_config.get("timeout", 30),
+                            headers={"Content-Type": "application/json"})
+            r.raise_for_status()
+            return r.json()
+        except Exception as e:
+            logger.error(f"POST {path} 失败: {e}")
+            return {"error": str(e)}
+
+
+    # -------------------- 单点接口封装 --------------------
+    # 2.17 入库物料（单个）
+    def storage_inbound(self, material_id: str, location_id: str) -> Dict[str, Any]:
+        return self._post_lims("/api/lims/storage/inbound", {
+            "materialId": material_id,
+            "locationId": location_id
+        })
+
+    # 2.18 批量入库（多个）
+    def storage_batch_inbound(self, items: List[Dict[str, str]]) -> Dict[str, Any]:
+        """
+        items = [{"materialId": "...", "locationId": "..."}, ...]
+        """
+        return self._post_lims("/api/lims/storage/batch-inbound", items)
+
+    # 3.30 自动化上料（Excel -> JSON -> POST /api/lims/order/auto-feeding4to3）
+    def auto_feeding4to3_from_xlsx(self, xlsx_path: str) -> Dict[str, Any]:
+        """
+        根据固定模板解析 Excel：
+        - 四号手套箱加样头面 (2-13行, 3-7列)
+        - 四号手套箱原液瓶面 (15-23行, 3-9列)
+        - 三号手套箱人工堆栈 (26-40行, 3-7列)
+        """
+        path = Path(xlsx_path)
+        if not path.exists():
+            raise FileNotFoundError(f"未找到 Excel 文件：{path}")
+
+        try:
+            df = pd.read_excel(path, sheet_name=0, header=None, engine="openpyxl")
+        except Exception as e:
+            raise RuntimeError(f"读取 Excel 失败：{e}")
+
+        items: List[Dict[str, Any]] = []
+
+        # 四号手套箱 - 加样头面（2-13行, 3-7列）
+        for _, row in df.iloc[1:13, 2:7].iterrows():
+            item = {
+                "sourceWHName": "四号手套箱堆栈",
+                "posX": int(row[2]),
+                "posY": int(row[3]),
+                "posZ": int(row[4]),
+                "materialName": str(row[5]).strip() if pd.notna(row[5]) else "",
+                "quantity": float(row[6]) if pd.notna(row[6]) else 0.0,
+            }
+            if item["materialName"]:
+                items.append(item)
+
+        # 四号手套箱 - 原液瓶面（15-23行, 3-9列）
+        for _, row in df.iloc[14:23, 2:9].iterrows():
+            item = {
+                "sourceWHName": "四号手套箱堆栈",
+                "posX": int(row[2]),
+                "posY": int(row[3]),
+                "posZ": int(row[4]),
+                "materialName": str(row[5]).strip() if pd.notna(row[5]) else "",
+                "quantity": float(row[6]) if pd.notna(row[6]) else 0.0,
+                "materialType": str(row[7]).strip() if pd.notna(row[7]) else "",
+                "targetWH": str(row[8]).strip() if pd.notna(row[8]) else "",
+            }
+            if item["materialName"]:
+                items.append(item)
+
+        # 三号手套箱人工堆栈（26-40行, 3-7列）
+        for _, row in df.iloc[25:40, 2:7].iterrows():
+            item = {
+                "sourceWHName": "三号手套箱人工堆栈",
+                "posX": int(row[2]),
+                "posY": int(row[3]),
+                "posZ": int(row[4]),
+                "materialType": str(row[5]).strip() if pd.notna(row[5]) else "",
+                "materialId": str(row[6]).strip() if pd.notna(row[6]) else "",
+                "quantity": 1  # 默认数量1
+            }
+            if item["materialId"] or item["materialType"]:
+                items.append(item)
+
+        return self._post_lims("/api/lims/order/auto-feeding4to3", items)
+
+
+
+    def auto_batch_outbound_from_xlsx(self, xlsx_path: str) -> Dict[str, Any]:
+        """
+        3.31 自动化下料（Excel -> JSON -> POST /api/lims/storage/auto-batch-out-bound）
+        """
+        path = Path(xlsx_path)
+        if not path.exists():
+            raise FileNotFoundError(f"未找到 Excel 文件：{path}")
+
+        try:
+            df = pd.read_excel(path, sheet_name=0, engine="openpyxl")
+        except Exception as e:
+            raise RuntimeError(f"读取 Excel 失败：{e}")
+
+        def pick(names: List[str]) -> Optional[str]:
+            for n in names:
+                if n in df.columns:
+                    return n
+            return None
+
+        c_loc = pick(["locationId", "库位ID", "库位Id", "库位id"])
+        c_wh  = pick(["warehouseId", "仓库ID", "仓库Id", "仓库id"])
+        c_qty = pick(["数量", "quantity"])
+        c_x   = pick(["x", "X", "posX", "坐标X"])
+        c_y   = pick(["y", "Y", "posY", "坐标Y"])
+        c_z   = pick(["z", "Z", "posZ", "坐标Z"])
+
+        required = [c_loc, c_wh, c_qty, c_x, c_y, c_z]
+        if any(c is None for c in required):
+            raise KeyError("Excel 缺少必要列：locationId/warehouseId/数量/x/y/z（支持多别名，至少要能匹配到）。")
+
+        def as_int(v, d=0):
+            try:
+                if pd.isna(v): return d
+                return int(v)
+            except Exception:
+                try:
+                    return int(float(v))
+                except Exception:
+                    return d
+
+        def as_float(v, d=0.0):
+            try:
+                if pd.isna(v): return d
+                return float(v)
+            except Exception:
+                return d
+
+        def as_str(v, d=""):
+            if v is None or (isinstance(v, float) and pd.isna(v)): return d
+            s = str(v).strip()
+            return s if s else d
+
+        items: List[Dict[str, Any]] = []
+        for _, row in df.iterrows():
+            items.append({
+                "locationId": as_str(row[c_loc]),
+                "warehouseId": as_str(row[c_wh]),
+                "quantity": as_float(row[c_qty]),
+                "x": as_int(row[c_x]),
+                "y": as_int(row[c_y]),
+                "z": as_int(row[c_z]),
+            })
+
+        return self._post_lims("/api/lims/storage/auto-batch-out-bound", items)
+
+    # 2.14 新建实验
+    def create_orders(self, xlsx_path: str) -> Dict[str, Any]:
+        """
+        从 Excel 解析并创建实验（2.14）
+        约定：
+        - batchId = Excel 文件名（不含扩展名）
+        - 物料列：所有以 "(g)" 结尾（不再读取“总质量(g)”列）
+        - totalMass 自动计算为所有物料质量之和
+        - createTime 缺失或为空时自动填充为当前日期（YYYY/M/D）
+        """
+        path = Path(xlsx_path)
+        if not path.exists():
+            raise FileNotFoundError(f"未找到 Excel 文件：{path}")
+
+        try:
+            df = pd.read_excel(path, sheet_name=0, engine="openpyxl")
+        except Exception as e:
+            raise RuntimeError(f"读取 Excel 失败：{e}")
+
+        # 列名容错：返回可选列名，找不到则返回 None
+        def _pick(col_names: List[str]) -> Optional[str]:
+            for c in col_names:
+                if c in df.columns:
+                    return c
+            return None
+
+        col_order_name = _pick(["配方ID", "orderName", "订单编号"])
+        col_create_time = _pick(["创建日期", "createTime"])
+        col_bottle_type = _pick(["配液瓶类型", "bottleType"])
+        col_mix_time = _pick(["混匀时间(s)", "mixTime"])
+        col_load = _pick(["扣电组装分液体积", "loadSheddingInfo"])
+        col_pouch = _pick(["软包组装分液体积", "pouchCellInfo"])
+        col_cond = _pick(["电导测试分液体积", "conductivityInfo"])
+        col_cond_cnt = _pick(["电导测试分液瓶数", "conductivityBottleCount"])
+
+        # 物料列：所有以 (g) 结尾
+        material_cols = [c for c in df.columns if isinstance(c, str) and c.endswith("(g)")]
+        if not material_cols:
+            raise KeyError("未发现任何以“(g)”结尾的物料列，请检查表头。")
+
+        batch_id = path.stem
+
+        def _to_ymd_slash(v) -> str:
+            # 统一为 "YYYY/M/D"；为空或解析失败则用当前日期
+            if v is None or (isinstance(v, float) and pd.isna(v)) or str(v).strip() == "":
+                ts = datetime.now()
+            else:
+                try:
+                    ts = pd.to_datetime(v)
+                except Exception:
+                    ts = datetime.now()
+            return f"{ts.year}/{ts.month}/{ts.day}"
+
+        def _as_int(val, default=0) -> int:
+            try:
+                if pd.isna(val):
+                    return default
+                return int(val)
+            except Exception:
+                return default
+
+        def _as_str(val, default="") -> str:
+            if val is None or (isinstance(val, float) and pd.isna(val)):
+                return default
+            s = str(val).strip()
+            return s if s else default
+
+        orders: List[Dict[str, Any]] = []
+
+        for idx, row in df.iterrows():
+            mats: List[Dict[str, Any]] = []
+            total_mass = 0.0
+
+            for mcol in material_cols:
+                val = row.get(mcol, None)
+                if val is None or (isinstance(val, float) and pd.isna(val)):
+                    continue
+                try:
+                    mass = float(val)
+                except Exception:
+                    continue
+                if mass > 0:
+                    mats.append({"name": mcol.replace("(g)", ""), "mass": mass})
+                    total_mass += mass
+
+            order_data = {
+                "batchId": batch_id,
+                "orderName": _as_str(row[col_order_name], default=f"{batch_id}_order_{idx+1}") if col_order_name else f"{batch_id}_order_{idx+1}",
+                "createTime": _to_ymd_slash(row[col_create_time]) if col_create_time else _to_ymd_slash(None),
+                "bottleType": _as_str(row[col_bottle_type], default="配液小瓶") if col_bottle_type else "配液小瓶",
+                "mixTime": _as_int(row[col_mix_time]) if col_mix_time else 0,
+                "loadSheddingInfo": _as_int(row[col_load]) if col_load else 0,
+                "pouchCellInfo": _as_int(row[col_pouch]) if col_pouch else 0,
+                "conductivityInfo": _as_int(row[col_cond]) if col_cond else 0,
+                "conductivityBottleCount": _as_int(row[col_cond_cnt]) if col_cond_cnt else 0,
+                "materialInfos": mats,
+                "totalMass": round(total_mass, 4)  # 自动汇总
+            }
+            orders.append(order_data)
+
+        # print(orders)
+
+        response = self._post_lims("/api/lims/order/orders", orders)
+        self.order_status[response["data"]["orderCode"]] = "running"
+
+        while True:
+            time.sleep(5)
+            if self.order_status.get(response["data"]["orderCode"], None) == "finished":
+                logger.info(f"配液实验已完成 ，即将执行 3-2-1 转运")
+                break
+            logger.info(f"等待配液实验完成")
+
+        self.transfer_3_to_2_to_1()
+        r321 = self.wait_for_transfer_task()
+        logger.info(f"3-2-1 转运完成，返回结果")
+        return r321
+
+
+    # 2.7 启动调度
+    def scheduler_start(self) -> Dict[str, Any]:
+        return self._post_lims("/api/lims/scheduler/start")
+    # 3.10 停止调度
+    def scheduler_stop(self) -> Dict[str, Any]:
+        """
+        停止调度 (3.10)
+        请求体只包含 apiKey 和 requestTime
+        """
+        return self._post_lims("/api/lims/scheduler/stop")
+            # 2.9 继续调度
+    def scheduler_continue(self) -> Dict[str, Any]:
+        """
+        继续调度 (2.9)
+        请求体只包含 apiKey 和 requestTime
+        """
+        return self._post_lims("/api/lims/scheduler/continue")
+
+
+
+    # 2.24 物料变更推送
+    def report_material_change(self, material_obj: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        material_obj 按 2.24 的裸对象格式（包含 id/typeName/locations/detail 等）
+        """
+        return self._post_report_raw("/report/material_change", material_obj)
+
+    # 2.21 步骤完成推送（BS → LIMS）
+    def report_step_finish(self,
+                           order_code: str,
+                           order_name: str,
+                           step_name: str,
+                           step_id: str,
+                           sample_id: str,
+                           start_time: str,
+                           end_time: str,
+                           execution_status: str = "completed") -> Dict[str, Any]:
+        data = {
+            "orderCode": order_code,
+            "orderName": order_name,
+            "stepName": step_name,
+            "stepId": step_id,
+            "sampleId": sample_id,
+            "startTime": start_time,
+            "endTime": end_time,
+            "executionStatus": execution_status
+        }
+        return self._post_report("/report/step_finish", data)
+
+    # 2.23 订单完成推送（BS → LIMS）
+    def report_order_finish(self,
+                            order_code: str,
+                            order_name: str,
+                            start_time: str,
+                            end_time: str,
+                            status: str = "30",  # 30 完成 / -11 异常停止 / -12 人工停止
+                            workflow_status: str = "Finished",
+                            completion_time: Optional[str] = None,
+                            used_materials: Optional[List[Dict[str, Any]]] = None) -> Dict[str, Any]:
+        data = {
+            "orderCode": order_code,
+            "orderName": order_name,
+            "startTime": start_time,
+            "endTime": end_time,
+            "status": status,
+            "workflowStatus": workflow_status,
+            "completionTime": completion_time or end_time,
+            "usedMaterials": used_materials or []
+        }
+        return self._post_report("/report/order_finish", data)
+
+    # 2.5 批量查询实验报告（用于轮询是否完成）
+    def order_list(self,
+                   status: Optional[str] = None,
+                   begin_time: Optional[str] = None,
+                   end_time: Optional[str] = None,
+                   filter_text: Optional[str] = None,
+                   skip: int = 0, page: int = 10) -> Dict[str, Any]:
+        data: Dict[str, Any] = {"skipCount": skip, "pageCount": page}
+        if status is not None:  # 80 成功 / 90 失败 / 100 执行中
+            data["status"] = status
+        if begin_time:
+            data["timeType"] = "CreationTime"
+            data["beginTime"] = begin_time
+        if end_time:
+            data["endTime"] = end_time
+        if filter_text:
+            data["filter"] = filter_text
+        return self._post_lims("/api/lims/order/order-list", data)
+
+    # 2.6 实验报告查询（根据任务ID拿详情）
+    def order_report(self, order_id: str) -> Dict[str, Any]:
+        return self._post_lims("/api/lims/order/order-report", order_id)
+
+    # 2.32 3-2-1 物料转运
+    def transfer_3_to_2_to_1(self,
+                            #  source_wh_id: Optional[str] = None,
+                            source_wh_id: Optional[str] = '3a19debc-84b4-0359-e2d4-b3beea49348b',
+                             source_x: int = 1, source_y: int = 1, source_z: int = 1) -> Dict[str, Any]:
+        payload: Dict[str, Any] = {
+            "sourcePosX": source_x, "sourcePosY": source_y, "sourcePosZ": source_z
+        }
+        if source_wh_id:
+            payload["sourceWHID"] = source_wh_id
+        return self._post_lims("/api/lims/order/transfer-task3To2To1", payload)
+
+    # 2.28 样品/废料取出
+    def take_out(self,
+                 order_id: str,
+                 preintake_ids: Optional[List[str]] = None,
+                 material_ids: Optional[List[str]] = None) -> Dict[str, Any]:
+        data = {
+            "orderId": order_id,
+            "preintakeIds": preintake_ids or [],
+            "materialIds": material_ids or []
+        }
+        return self._post_lims("/api/lims/order/take-out", data)
+
+    # --------（可选）占位方法：文档未定义的“1号站内部流程 / 1-2转运”--------
+    def start_station1_internal_flow(self, **kwargs) -> None:
+        logger.info("启动1号站内部流程（占位，按现场系统填充具体指令）")
+
+
+    # 3.x 1→2 物料转运
+    def transfer_1_to_2(self) -> Dict[str, Any]:
+        """
+        1→2 物料转运
+        URL: /api/lims/order/transfer-task1To2
+        只需要 apiKey 和 requestTime
+        """
+        return self._post_lims("/api/lims/order/transfer-task1To2")
+
+
+    # -------------------- 整体编排 --------------------
+    def run_full_workflow(self,
+                          inbound_items: List[Dict[str, str]],
+                          orders: List[Dict[str, Any]],
+                          poll_filter_code: Optional[str] = None,
+                          poll_timeout_s: int = 600,
+                          poll_interval_s: int = 5,
+                          transfer_source: Optional[Dict[str, Any]] = None,
+                          takeout_order_id: Optional[str] = None) -> None:
+        """
+        一键串联：
+        1) 入库 3-4 个物料 → 2) 新建实验 → 3) 启动调度
+        运行中（如需）：4) 物料变更推送 5) 步骤完成推送 6) 订单完成推送
+        完成后：查询实验（2.5/2.6）→ 7) 3-2-1 转运 → 8) 1号站内部流程
+        → 9) 1-2 转运 → 10) 样品/废料取出
+        """
+        # 1. 入库（多于1个就用批量接口 2.18）
+        if len(inbound_items) == 1:
+            r = self.storage_inbound(inbound_items[0]["materialId"], inbound_items[0]["locationId"])
+            logger.info(f"单个入库结果: {r}")
+        else:
+            r = self.storage_batch_inbound(inbound_items)
+            logger.info(f"批量入库结果: {r}")
+
+        # 2. 新建实验（2.14）
+        r = self.create_orders(orders)
+        logger.info(f"新建实验结果: {r}")
+
+        # 3. 启动调度（2.7）
+        r = self.scheduler_start()
+        logger.info(f"启动调度结果: {r}")
+
+        # —— 运行中各类推送（2.24 / 2.21 / 2.23），通常由实际任务驱动，这里提供调用方式 —— #
+        # self.report_material_change({...})
+        # self.report_step_finish(order_code="BSO...", order_name="配液分液", step_name="xxx", step_id="...", sample_id="...",
+        #                         start_time=_iso_utc_now_ms(), end_time=_iso_utc_now_ms(), execution_status="completed")
+        # self.report_order_finish(order_code="BSO...", order_name="配液分液", start_time="...", end_time=_iso_utc_now_ms())
+
+        # 完成后才能转运：用 2.5 批量查询配合 filter=任务编码 轮询到 status=80（成功）
+        if poll_filter_code:
+            import time
+            deadline = time.time() + poll_timeout_s
+            while time.time() < deadline:
+                res = self.order_list(status="80", filter_text=poll_filter_code, page=5)
+                if isinstance(res, dict) and res.get("data", {}).get("items"):
+                    logger.info(f"实验 {poll_filter_code} 已完成：{res['data']['items'][0]}")
+                    break
+                time.sleep(poll_interval_s)
+            else:
+                logger.warning(f"等待实验 {poll_filter_code} 完成超时（未到 status=80）")
+
+        # 7. 启动 3-2-1 转运（2.32）
+        if transfer_source:
+            r = self.transfer_3_to_2_to_1(
+                source_wh_id=transfer_source.get("sourceWHID"),
+                source_x=transfer_source.get("sourcePosX", 1),
+                source_y=transfer_source.get("sourcePosY", 1),
+                source_z=transfer_source.get("sourcePosZ", 1),
+            )
+            logger.info(f"3-2-1 转运结果: {r}")
+
+        # 8. 1号站内部流程（占位）
+        self.start_station1_internal_flow()
+
+        # 9. 1→2 转运（占位）
+        self.transfer_1_to_2()
+
+        # 10. 样品/废料取出（2.28）
+        if takeout_order_id:
+            r = self.take_out(order_id=takeout_order_id)
+            logger.info(f"样品/废料取出结果: {r}")
+
+    # 2.5 批量查询实验报告
+    def order_list_v2(self,
+                      timeType: str = "string",
+                      beginTime: str = "",
+                      endTime: str = "",
+                      status: str = "",
+                      filter: str = "物料转移任务",
+                      skipCount: int = 0,
+                      pageCount: int = 1,
+                      sorting: str = "") -> Dict[str, Any]:
+        """
+        批量查询实验报告的详细信息 (2.5)
+        URL: /api/lims/order/order-list
+        参数默认值和接口文档保持一致
+        """
+        data: Dict[str, Any] = {
+            "timeType": timeType,
+            "beginTime": beginTime,
+            "endTime": endTime,
+            "status": status,
+            "filter": filter,
+            "skipCount": skipCount,
+            "pageCount": pageCount,
+            "sorting": sorting
+        }
+        return self._post_lims("/api/lims/order/order-list", data)
+
+        
+    def wait_for_transfer_task(self, timeout: int = 600, interval: int = 3) -> bool:
+        """
+        轮询查询物料转移任务是否成功完成 (status=80)
+        - timeout: 最大等待秒数 (默认600秒)
+        - interval: 轮询间隔秒数 (默认3秒)
+        返回 True 表示找到并成功完成，False 表示超时未找到
+        """
+        now = datetime.now()
+        beginTime = now.strftime("%Y-%m-%dT%H:%M:%SZ")
+        endTime = (now + timedelta(minutes=5)).strftime("%Y-%m-%dT%H:%M:%SZ")
+        print(beginTime, endTime)
+
+        deadline = time.time() + timeout
+
+        while time.time() < deadline:
+            result = self.order_list_v2(
+                timeType="string",
+                beginTime=beginTime,
+                endTime=endTime,
+                status="",
+                filter="物料转移任务",
+                skipCount=0,
+                pageCount=1,
+                sorting=""
+            )
+            print(result)
+
+            items = result.get("data", {}).get("items", [])
+            for item in items:
+                name = item.get("name", "")
+                status = item.get("status")
+                if name.startswith("物料转移任务") and status == 80:
+                    logger.info(f"硬件转移动作完成: {name}")
+                    return True
+
+            time.sleep(interval)
+
+        logger.warning("超时未找到成功的物料转移任务")
+        return False
+
+
+# --------------------------------
+if __name__ == "__main__":
+    ws = BioyondWorkstation()
+    # ws.scheduler_stop()
+    ws.scheduler_start()
+    logger.info("调度启动完成")
+
+    # ws.scheduler_continue()
+    # 3.30 上料：读取模板 Excel 自动解析并 POST
+    r1 = ws.auto_feeding4to3_from_xlsx(r"C:\ML\GitHub\Uni-Lab-OS\unilabos\devices\workstation\bioyond_cell\样品导入模板 (8).xlsx")
+    ws.wait_for_transfer_task()
+    logger.info("4号箱向3号箱转运物料转移任务已完成")
+
+    # ws.scheduler_start()
+    # print(r1["payload"]["data"])   # 调试模式下可直接看到要发的 JSON items
+
+    # 新建实验
+    res = ws.create_orders("C:/ML/GitHub/Uni-Lab-OS/unilabos/devices/workstation/bioyond_cell/2025092501.xlsx")
+    # ws.scheduler_start()
+    # print(res)
+
+    #1号站启动
+    ws.transfer_1_to_2()
+    ws.wait_for_transfer_task()
+    logger.info("1号站向2号站转移任务完成")
+    logger.info("全流程结束")
+
+    # 3.31 下料：同理
+    # r2 = ws.auto_batch_outbound_from_xlsx(r"C:/path/样品导入模板 (8).xlsx")
+    # print(r2["payload"]["data"])

unilabos/devices/workstation/bioyond_studio/bioyond_cell/bioyond_yihua_YB.json

@@ -1,8 +1,28 @@
 {
   "nodes": [
+    {
+      "id": "bioyond_cell_workstation",
+      "name": "配液分液工站",
+      "children": [
+      ],
+      "parent": null,
+      "type": "device",
+      "class": "bioyond_cell",
+      "config": {
+          "protocol_type": [],
+          "station_resource": {},
+
+          "bioyond_config": {
+              "api_key": "8A819E5C",
+              "api_host": "http://192.168.1.200:44388",
+              "debug_mode": false
+          }
+      },
+      "data": {}
+  },
     {
       "id": "BatteryStation",
-      "name": "扣电工作站",
+      "name": "扣电组装工作站",
       "children": [
           "coin_cell_deck"
       ],

unilabos/registry/devices/bioyond.yaml

@@ -242,8 +242,11 @@ workstation.bioyond_dispensing_station:
       properties:
         config:
           type: string
+        deck:
+          type: string
       required:
       - config
+      - deck
       type: object
     data:
       properties: {}

unilabos/registry/devices/bioyond_cell.yaml

@@ -0,0 +1,834 @@
+bioyond_cell:
+  category:
+  - bioyond_cell
+  class:
+    action_value_mappings:
+      auto-auto_batch_outbound_from_xlsx:
+        feedback: {}
+        goal: {}
+        goal_default:
+          xlsx_path: null
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                xlsx_path:
+                  type: string
+              required:
+              - xlsx_path
+              type: object
+            result: {}
+          required:
+          - goal
+          title: auto_batch_outbound_from_xlsx参数
+          type: object
+        type: UniLabJsonCommand
+      auto-auto_feeding4to3:
+        feedback: {}
+        goal: {}
+        goal_default:
+          WH3_x1_y1_z3_1_materialId: ''
+          WH3_x1_y1_z3_1_materialType: ''
+          WH3_x1_y1_z3_1_quantity: 0
+          WH3_x1_y2_z3_4_materialId: ''
+          WH3_x1_y2_z3_4_materialType: ''
+          WH3_x1_y2_z3_4_quantity: 0
+          WH3_x1_y3_z3_7_materialId: ''
+          WH3_x1_y3_z3_7_materialType: ''
+          WH3_x1_y3_z3_7_quantity: 0
+          WH3_x1_y4_z3_10_materialId: ''
+          WH3_x1_y4_z3_10_materialType: ''
+          WH3_x1_y4_z3_10_quantity: 0
+          WH3_x1_y5_z3_13_materialId: ''
+          WH3_x1_y5_z3_13_materialType: ''
+          WH3_x1_y5_z3_13_quantity: 0
+          WH3_x2_y1_z3_2_materialId: ''
+          WH3_x2_y1_z3_2_materialType: ''
+          WH3_x2_y1_z3_2_quantity: 0
+          WH3_x2_y2_z3_5_materialId: ''
+          WH3_x2_y2_z3_5_materialType: ''
+          WH3_x2_y2_z3_5_quantity: 0
+          WH3_x2_y3_z3_8_materialId: ''
+          WH3_x2_y3_z3_8_materialType: ''
+          WH3_x2_y3_z3_8_quantity: 0
+          WH3_x2_y4_z3_11_materialId: ''
+          WH3_x2_y4_z3_11_materialType: ''
+          WH3_x2_y4_z3_11_quantity: 0
+          WH3_x2_y5_z3_14_materialId: ''
+          WH3_x2_y5_z3_14_materialType: ''
+          WH3_x2_y5_z3_14_quantity: 0
+          WH3_x3_y1_z3_3_materialId: ''
+          WH3_x3_y1_z3_3_materialType: ''
+          WH3_x3_y1_z3_3_quantity: 0
+          WH3_x3_y2_z3_6_materialId: ''
+          WH3_x3_y2_z3_6_materialType: ''
+          WH3_x3_y2_z3_6_quantity: 0
+          WH3_x3_y3_z3_9_materialId: ''
+          WH3_x3_y3_z3_9_materialType: ''
+          WH3_x3_y3_z3_9_quantity: 0
+          WH3_x3_y4_z3_12_materialId: ''
+          WH3_x3_y4_z3_12_materialType: ''
+          WH3_x3_y4_z3_12_quantity: 0
+          WH3_x3_y5_z3_15_materialId: ''
+          WH3_x3_y5_z3_15_materialType: ''
+          WH3_x3_y5_z3_15_quantity: 0
+          WH4_x1_y1_z1_1_materialName: ''
+          WH4_x1_y1_z1_1_quantity: 0.0
+          WH4_x1_y1_z2_1_materialName: ''
+          WH4_x1_y1_z2_1_materialType: ''
+          WH4_x1_y1_z2_1_quantity: 0.0
+          WH4_x1_y1_z2_1_targetWH: ''
+          WH4_x1_y2_z1_6_materialName: ''
+          WH4_x1_y2_z1_6_quantity: 0.0
+          WH4_x1_y2_z2_4_materialName: ''
+          WH4_x1_y2_z2_4_materialType: ''
+          WH4_x1_y2_z2_4_quantity: 0.0
+          WH4_x1_y2_z2_4_targetWH: ''
+          WH4_x1_y3_z1_11_materialName: ''
+          WH4_x1_y3_z1_11_quantity: 0.0
+          WH4_x1_y3_z2_7_materialName: ''
+          WH4_x1_y3_z2_7_materialType: ''
+          WH4_x1_y3_z2_7_quantity: 0.0
+          WH4_x1_y3_z2_7_targetWH: ''
+          WH4_x2_y1_z1_2_materialName: ''
+          WH4_x2_y1_z1_2_quantity: 0.0
+          WH4_x2_y1_z2_2_materialName: ''
+          WH4_x2_y1_z2_2_materialType: ''
+          WH4_x2_y1_z2_2_quantity: 0.0
+          WH4_x2_y1_z2_2_targetWH: ''
+          WH4_x2_y2_z1_7_materialName: ''
+          WH4_x2_y2_z1_7_quantity: 0.0
+          WH4_x2_y2_z2_5_materialName: ''
+          WH4_x2_y2_z2_5_materialType: ''
+          WH4_x2_y2_z2_5_quantity: 0.0
+          WH4_x2_y2_z2_5_targetWH: ''
+          WH4_x2_y3_z1_12_materialName: ''
+          WH4_x2_y3_z1_12_quantity: 0.0
+          WH4_x2_y3_z2_8_materialName: ''
+          WH4_x2_y3_z2_8_materialType: ''
+          WH4_x2_y3_z2_8_quantity: 0.0
+          WH4_x2_y3_z2_8_targetWH: ''
+          WH4_x3_y1_z1_3_materialName: ''
+          WH4_x3_y1_z1_3_quantity: 0.0
+          WH4_x3_y1_z2_3_materialName: ''
+          WH4_x3_y1_z2_3_materialType: ''
+          WH4_x3_y1_z2_3_quantity: 0.0
+          WH4_x3_y1_z2_3_targetWH: ''
+          WH4_x3_y2_z1_8_materialName: ''
+          WH4_x3_y2_z1_8_quantity: 0.0
+          WH4_x3_y2_z2_6_materialName: ''
+          WH4_x3_y2_z2_6_materialType: ''
+          WH4_x3_y2_z2_6_quantity: 0.0
+          WH4_x3_y2_z2_6_targetWH: ''
+          WH4_x3_y3_z2_9_materialName: ''
+          WH4_x3_y3_z2_9_materialType: ''
+          WH4_x3_y3_z2_9_quantity: 0.0
+          WH4_x3_y3_z2_9_targetWH: ''
+          WH4_x4_y1_z1_4_materialName: ''
+          WH4_x4_y1_z1_4_quantity: 0.0
+          WH4_x4_y2_z1_9_materialName: ''
+          WH4_x4_y2_z1_9_quantity: 0.0
+          WH4_x5_y1_z1_5_materialName: ''
+          WH4_x5_y1_z1_5_quantity: 0.0
+          WH4_x5_y2_z1_10_materialName: ''
+          WH4_x5_y2_z1_10_quantity: 0.0
+          xlsx_path: unilabos/devices/workstation/bioyond_cell/样品导入模板.xlsx
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                WH3_x1_y1_z3_1_materialId:
+                  default: ''
+                  type: string
+                WH3_x1_y1_z3_1_materialType:
+                  default: ''
+                  type: string
+                WH3_x1_y1_z3_1_quantity:
+                  default: 0
+                  type: number
+                WH3_x1_y2_z3_4_materialId:
+                  default: ''
+                  type: string
+                WH3_x1_y2_z3_4_materialType:
+                  default: ''
+                  type: string
+                WH3_x1_y2_z3_4_quantity:
+                  default: 0
+                  type: number
+                WH3_x1_y3_z3_7_materialId:
+                  default: ''
+                  type: string
+                WH3_x1_y3_z3_7_materialType:
+                  default: ''
+                  type: string
+                WH3_x1_y3_z3_7_quantity:
+                  default: 0
+                  type: number
+                WH3_x1_y4_z3_10_materialId:
+                  default: ''
+                  type: string
+                WH3_x1_y4_z3_10_materialType:
+                  default: ''
+                  type: string
+                WH3_x1_y4_z3_10_quantity:
+                  default: 0
+                  type: number
+                WH3_x1_y5_z3_13_materialId:
+                  default: ''
+                  type: string
+                WH3_x1_y5_z3_13_materialType:
+                  default: ''
+                  type: string
+                WH3_x1_y5_z3_13_quantity:
+                  default: 0
+                  type: number
+                WH3_x2_y1_z3_2_materialId:
+                  default: ''
+                  type: string
+                WH3_x2_y1_z3_2_materialType:
+                  default: ''
+                  type: string
+                WH3_x2_y1_z3_2_quantity:
+                  default: 0
+                  type: number
+                WH3_x2_y2_z3_5_materialId:
+                  default: ''
+                  type: string
+                WH3_x2_y2_z3_5_materialType:
+                  default: ''
+                  type: string
+                WH3_x2_y2_z3_5_quantity:
+                  default: 0
+                  type: number
+                WH3_x2_y3_z3_8_materialId:
+                  default: ''
+                  type: string
+                WH3_x2_y3_z3_8_materialType:
+                  default: ''
+                  type: string
+                WH3_x2_y3_z3_8_quantity:
+                  default: 0
+                  type: number
+                WH3_x2_y4_z3_11_materialId:
+                  default: ''
+                  type: string
+                WH3_x2_y4_z3_11_materialType:
+                  default: ''
+                  type: string
+                WH3_x2_y4_z3_11_quantity:
+                  default: 0
+                  type: number
+                WH3_x2_y5_z3_14_materialId:
+                  default: ''
+                  type: string
+                WH3_x2_y5_z3_14_materialType:
+                  default: ''
+                  type: string
+                WH3_x2_y5_z3_14_quantity:
+                  default: 0
+                  type: number
+                WH3_x3_y1_z3_3_materialId:
+                  default: ''
+                  type: string
+                WH3_x3_y1_z3_3_materialType:
+                  default: ''
+                  type: string
+                WH3_x3_y1_z3_3_quantity:
+                  default: 0
+                  type: number
+                WH3_x3_y2_z3_6_materialId:
+                  default: ''
+                  type: string
+                WH3_x3_y2_z3_6_materialType:
+                  default: ''
+                  type: string
+                WH3_x3_y2_z3_6_quantity:
+                  default: 0
+                  type: number
+                WH3_x3_y3_z3_9_materialId:
+                  default: ''
+                  type: string
+                WH3_x3_y3_z3_9_materialType:
+                  default: ''
+                  type: string
+                WH3_x3_y3_z3_9_quantity:
+                  default: 0
+                  type: number
+                WH3_x3_y4_z3_12_materialId:
+                  default: ''
+                  type: string
+                WH3_x3_y4_z3_12_materialType:
+                  default: ''
+                  type: string
+                WH3_x3_y4_z3_12_quantity:
+                  default: 0
+                  type: number
+                WH3_x3_y5_z3_15_materialId:
+                  default: ''
+                  type: string
+                WH3_x3_y5_z3_15_materialType:
+                  default: ''
+                  type: string
+                WH3_x3_y5_z3_15_quantity:
+                  default: 0
+                  type: number
+                WH4_x1_y1_z1_1_materialName:
+                  default: ''
+                  type: string
+                WH4_x1_y1_z1_1_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x1_y1_z2_1_materialName:
+                  default: ''
+                  type: string
+                WH4_x1_y1_z2_1_materialType:
+                  default: ''
+                  type: string
+                WH4_x1_y1_z2_1_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x1_y1_z2_1_targetWH:
+                  default: ''
+                  type: string
+                WH4_x1_y2_z1_6_materialName:
+                  default: ''
+                  type: string
+                WH4_x1_y2_z1_6_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x1_y2_z2_4_materialName:
+                  default: ''
+                  type: string
+                WH4_x1_y2_z2_4_materialType:
+                  default: ''
+                  type: string
+                WH4_x1_y2_z2_4_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x1_y2_z2_4_targetWH:
+                  default: ''
+                  type: string
+                WH4_x1_y3_z1_11_materialName:
+                  default: ''
+                  type: string
+                WH4_x1_y3_z1_11_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x1_y3_z2_7_materialName:
+                  default: ''
+                  type: string
+                WH4_x1_y3_z2_7_materialType:
+                  default: ''
+                  type: string
+                WH4_x1_y3_z2_7_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x1_y3_z2_7_targetWH:
+                  default: ''
+                  type: string
+                WH4_x2_y1_z1_2_materialName:
+                  default: ''
+                  type: string
+                WH4_x2_y1_z1_2_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x2_y1_z2_2_materialName:
+                  default: ''
+                  type: string
+                WH4_x2_y1_z2_2_materialType:
+                  default: ''
+                  type: string
+                WH4_x2_y1_z2_2_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x2_y1_z2_2_targetWH:
+                  default: ''
+                  type: string
+                WH4_x2_y2_z1_7_materialName:
+                  default: ''
+                  type: string
+                WH4_x2_y2_z1_7_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x2_y2_z2_5_materialName:
+                  default: ''
+                  type: string
+                WH4_x2_y2_z2_5_materialType:
+                  default: ''
+                  type: string
+                WH4_x2_y2_z2_5_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x2_y2_z2_5_targetWH:
+                  default: ''
+                  type: string
+                WH4_x2_y3_z1_12_materialName:
+                  default: ''
+                  type: string
+                WH4_x2_y3_z1_12_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x2_y3_z2_8_materialName:
+                  default: ''
+                  type: string
+                WH4_x2_y3_z2_8_materialType:
+                  default: ''
+                  type: string
+                WH4_x2_y3_z2_8_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x2_y3_z2_8_targetWH:
+                  default: ''
+                  type: string
+                WH4_x3_y1_z1_3_materialName:
+                  default: ''
+                  type: string
+                WH4_x3_y1_z1_3_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x3_y1_z2_3_materialName:
+                  default: ''
+                  type: string
+                WH4_x3_y1_z2_3_materialType:
+                  default: ''
+                  type: string
+                WH4_x3_y1_z2_3_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x3_y1_z2_3_targetWH:
+                  default: ''
+                  type: string
+                WH4_x3_y2_z1_8_materialName:
+                  default: ''
+                  type: string
+                WH4_x3_y2_z1_8_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x3_y2_z2_6_materialName:
+                  default: ''
+                  type: string
+                WH4_x3_y2_z2_6_materialType:
+                  default: ''
+                  type: string
+                WH4_x3_y2_z2_6_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x3_y2_z2_6_targetWH:
+                  default: ''
+                  type: string
+                WH4_x3_y3_z2_9_materialName:
+                  default: ''
+                  type: string
+                WH4_x3_y3_z2_9_materialType:
+                  default: ''
+                  type: string
+                WH4_x3_y3_z2_9_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x3_y3_z2_9_targetWH:
+                  default: ''
+                  type: string
+                WH4_x4_y1_z1_4_materialName:
+                  default: ''
+                  type: string
+                WH4_x4_y1_z1_4_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x4_y2_z1_9_materialName:
+                  default: ''
+                  type: string
+                WH4_x4_y2_z1_9_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x5_y1_z1_5_materialName:
+                  default: ''
+                  type: string
+                WH4_x5_y1_z1_5_quantity:
+                  default: 0.0
+                  type: number
+                WH4_x5_y2_z1_10_materialName:
+                  default: ''
+                  type: string
+                WH4_x5_y2_z1_10_quantity:
+                  default: 0.0
+                  type: number
+                xlsx_path:
+                  default: unilabos/devices/workstation/bioyond_cell/样品导入模板.xlsx
+                  type: string
+              required: []
+              type: object
+            result: {}
+          required:
+          - goal
+          title: auto_feeding4to3参数
+          type: object
+        type: UniLabJsonCommand
+      auto-auto_feeding4to3_from_xlsx:
+        feedback: {}
+        goal: {}
+        goal_default:
+          xlsx_path: null
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                xlsx_path:
+                  type: string
+              required:
+              - xlsx_path
+              type: object
+            result: {}
+          required:
+          - goal
+          title: auto_feeding4to3_from_xlsx参数
+          type: object
+        type: UniLabJsonCommand
+      auto-create_orders:
+        feedback: {}
+        goal: {}
+        goal_default:
+          xlsx_path: null
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                xlsx_path:
+                  type: string
+              required:
+              - xlsx_path
+              type: object
+            result: {}
+          required:
+          - goal
+          title: create_orders参数
+          type: object
+        type: UniLabJsonCommand
+      auto-order_list_v2:
+        feedback: {}
+        goal: {}
+        goal_default:
+          beginTime: ''
+          endTime: ''
+          filter: ''
+          pageCount: 1
+          skipCount: 0
+          sorting: ''
+          status: ''
+          timeType: ''
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                beginTime:
+                  default: ''
+                  type: string
+                endTime:
+                  default: ''
+                  type: string
+                filter:
+                  default: ''
+                  type: string
+                pageCount:
+                  default: 1
+                  type: integer
+                skipCount:
+                  default: 0
+                  type: integer
+                sorting:
+                  default: ''
+                  type: string
+                status:
+                  default: ''
+                  type: string
+                timeType:
+                  default: ''
+                  type: string
+              required: []
+              type: object
+            result: {}
+          required:
+          - goal
+          title: order_list_v2参数
+          type: object
+        type: UniLabJsonCommand
+      auto-report_material_change:
+        feedback: {}
+        goal: {}
+        goal_default:
+          material_obj: null
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                material_obj:
+                  type: object
+              required:
+              - material_obj
+              type: object
+            result: {}
+          required:
+          - goal
+          title: report_material_change参数
+          type: object
+        type: UniLabJsonCommand
+      auto-scheduler_continue:
+        feedback: {}
+        goal: {}
+        goal_default: {}
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties: {}
+              required: []
+              type: object
+            result: {}
+          required:
+          - goal
+          title: scheduler_continue参数
+          type: object
+        type: UniLabJsonCommand
+      auto-scheduler_start:
+        feedback: {}
+        goal: {}
+        goal_default: {}
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties: {}
+              required: []
+              type: object
+            result: {}
+          required:
+          - goal
+          title: scheduler_start参数
+          type: object
+        type: UniLabJsonCommand
+      auto-scheduler_stop:
+        feedback: {}
+        goal: {}
+        goal_default: {}
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties: {}
+              required: []
+              type: object
+            result: {}
+          required:
+          - goal
+          title: scheduler_stop参数
+          type: object
+        type: UniLabJsonCommand
+      auto-storage_batch_inbound:
+        feedback: {}
+        goal: {}
+        goal_default:
+          items: null
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                items:
+                  items:
+                    type: object
+                  type: array
+              required:
+              - items
+              type: object
+            result: {}
+          required:
+          - goal
+          title: storage_batch_inbound参数
+          type: object
+        type: UniLabJsonCommand
+      auto-storage_inbound:
+        feedback: {}
+        goal: {}
+        goal_default:
+          location_id: null
+          material_id: null
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                location_id:
+                  type: string
+                material_id:
+                  type: string
+              required:
+              - material_id
+              - location_id
+              type: object
+            result: {}
+          required:
+          - goal
+          title: storage_inbound参数
+          type: object
+        type: UniLabJsonCommand
+      auto-transfer_1_to_2:
+        feedback: {}
+        goal: {}
+        goal_default: {}
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties: {}
+              required: []
+              type: object
+            result: {}
+          required:
+          - goal
+          title: transfer_1_to_2参数
+          type: object
+        type: UniLabJsonCommand
+      auto-transfer_3_to_2_to_1:
+        feedback: {}
+        goal: {}
+        goal_default:
+          source_wh_id: 3a19debc-84b4-0359-e2d4-b3beea49348b
+          source_x: 1
+          source_y: 1
+          source_z: 1
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                source_wh_id:
+                  default: 3a19debc-84b4-0359-e2d4-b3beea49348b
+                  type: string
+                source_x:
+                  default: 1
+                  type: integer
+                source_y:
+                  default: 1
+                  type: integer
+                source_z:
+                  default: 1
+                  type: integer
+              required: []
+              type: object
+            result: {}
+          required:
+          - goal
+          title: transfer_3_to_2_to_1参数
+          type: object
+        type: UniLabJsonCommand
+      auto-wait_for_transfer_task:
+        feedback: {}
+        goal: {}
+        goal_default:
+          filter_text: null
+          interval: 5
+          timeout: 3000
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                filter_text:
+                  type: string
+                interval:
+                  default: 5
+                  type: integer
+                timeout:
+                  default: 3000
+                  type: integer
+              required: []
+              type: object
+            result: {}
+          required:
+          - goal
+          title: wait_for_transfer_task参数
+          type: object
+        type: UniLabJsonCommand
+    module: unilabos.devices.workstation.bioyond_studio.bioyond_cell.bioyond_cell_workstation:BioyondCellWorkstation
+    status_types: {}
+    type: python
+  config_info: []
+  description: ''
+  handles: []
+  icon: ''
+  init_param_schema:
+    config:
+      properties:
+        bioyond_config:
+          type: string
+        station_resource:
+          type: string
+      required: []
+      type: object
+    data:
+      properties: {}
+      required: []
+      type: object
+  registry_type: device
+  version: 1.0.0

unilabos/registry/devices/characterization_chromatic.yaml

@@ -1,231 +1,3 @@
-hplc.agilent:
-  category:
-  - characterization_chromatic
-  class:
-    action_value_mappings:
-      auto-check_status:
-        feedback: {}
-        goal: {}
-        goal_default: {}
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 检查安捷伦HPLC设备状态的函数。用于监控设备的运行状态、连接状态、错误信息等关键指标。该函数定期查询设备状态，确保系统稳定运行，及时发现和报告设备异常。适用于自动化流程中的设备监控、故障诊断、系统维护等场景。
-          properties:
-            feedback: {}
-            goal:
-              properties: {}
-              required: []
-              type: object
-            result: {}
-          required:
-          - goal
-          title: check_status参数
-          type: object
-        type: UniLabJsonCommand
-      auto-extract_data_from_txt:
-        feedback: {}
-        goal: {}
-        goal_default:
-          file_path: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 从文本文件中提取分析数据的函数。用于解析安捷伦HPLC生成的结果文件，提取峰面积、保留时间、浓度等关键分析数据。支持多种文件格式的自动识别和数据结构化处理，为后续数据分析和报告生成提供标准化的数据格式。适用于批量数据处理、结果验证、质量控制等分析工作流程。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                file_path:
-                  type: string
-              required:
-              - file_path
-              type: object
-            result: {}
-          required:
-          - goal
-          title: extract_data_from_txt参数
-          type: object
-        type: UniLabJsonCommand
-      auto-start_sequence:
-        feedback: {}
-        goal: {}
-        goal_default:
-          params: null
-          resource: null
-          wf_name: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 启动安捷伦HPLC分析序列的函数。用于执行预定义的分析方法序列，包括样品进样、色谱分离、检测等完整的分析流程。支持参数配置、资源分配、工作流程管理等功能，实现全自动的样品分析。适用于批量样品处理、标准化分析、质量检测等需要连续自动分析的应用场景。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                params:
-                  type: string
-                resource:
-                  type: object
-                wf_name:
-                  type: string
-              required:
-              - wf_name
-              type: object
-            result: {}
-          required:
-          - goal
-          title: start_sequence参数
-          type: object
-        type: UniLabJsonCommand
-      auto-try_close_sub_device:
-        feedback: {}
-        goal: {}
-        goal_default:
-          device_name: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 尝试关闭HPLC子设备的函数。用于安全地关闭泵、检测器、进样器等各个子模块，确保设备正常断开连接并保护硬件安全。该函数提供错误处理和状态确认机制，避免强制关闭可能造成的设备损坏。适用于设备维护、系统重启、紧急停机等需要安全关闭设备的场景。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                device_name:
-                  type: string
-              required: []
-              type: object
-            result: {}
-          required:
-          - goal
-          title: try_close_sub_device参数
-          type: object
-        type: UniLabJsonCommand
-      auto-try_open_sub_device:
-        feedback: {}
-        goal: {}
-        goal_default:
-          device_name: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 尝试打开HPLC子设备的函数。用于初始化和连接泵、检测器、进样器等各个子模块，建立设备通信并进行自检。该函数提供连接验证和错误恢复机制，确保子设备正常启动并准备就绪。适用于设备初始化、系统启动、设备重连等需要建立设备连接的场景。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                device_name:
-                  type: string
-              required: []
-              type: object
-            result: {}
-          required:
-          - goal
-          title: try_open_sub_device参数
-          type: object
-        type: UniLabJsonCommand
-      execute_command_from_outer:
-        feedback: {}
-        goal:
-          command: command
-        goal_default:
-          command: ''
-        handles: {}
-        result:
-          success: success
-        schema:
-          description: ''
-          properties:
-            feedback:
-              properties:
-                status:
-                  type: string
-              required:
-              - status
-              title: SendCmd_Feedback
-              type: object
-            goal:
-              properties:
-                command:
-                  type: string
-              required:
-              - command
-              title: SendCmd_Goal
-              type: object
-            result:
-              properties:
-                return_info:
-                  type: string
-                success:
-                  type: boolean
-              required:
-              - return_info
-              - success
-              title: SendCmd_Result
-              type: object
-          required:
-          - goal
-          title: SendCmd
-          type: object
-        type: SendCmd
-    module: unilabos.devices.hplc.AgilentHPLC:HPLCDriver
-    status_types:
-      could_run: bool
-      data_file: String
-      device_status: str
-      driver_init_ok: bool
-      finish_status: str
-      is_running: bool
-      status_text: str
-      success: bool
-    type: python
-  config_info: []
-  description: 安捷伦高效液相色谱（HPLC）分析设备，用于复杂化合物的分离、检测和定量分析。该设备通过UI自动化技术控制安捷伦ChemStation软件，实现全自动的样品分析流程。具备序列启动、设备状态监控、数据文件提取、结果处理等功能。支持多样品批量处理和实时状态反馈，适用于药物分析、环境检测、食品安全、化学研究等需要高精度色谱分析的实验室应用。
-  handles: []
-  icon: ''
-  init_param_schema:
-    config:
-      properties:
-        driver_debug:
-          default: false
-          type: string
-      required: []
-      type: object
-    data:
-      properties:
-        could_run:
-          type: boolean
-        data_file:
-          items:
-            type: string
-          type: array
-        device_status:
-          type: string
-        driver_init_ok:
-          type: boolean
-        finish_status:
-          type: string
-        is_running:
-          type: boolean
-        status_text:
-          type: string
-        success:
-          type: boolean
-      required:
-      - status_text
-      - device_status
-      - could_run
-      - driver_init_ok
-      - is_running
-      - success
-      - finish_status
-      - data_file
-      type: object
-  version: 1.0.0
 hplc.agilent-zhida:
   category:
   - characterization_chromatic

unilabos/registry/devices/characterization_optic.yaml

@@ -1,194 +1 @@
-raman.home_made:
-  category:
-  - characterization_optic
-  class:
-    action_value_mappings:
-      auto-ccd_time:
-        feedback: {}
-        goal: {}
-        goal_default:
-          int_time: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 设置CCD检测器积分时间的函数。用于配置拉曼光谱仪的信号采集时间，控制光谱数据的质量和信噪比。较长的积分时间可获得更高的信号强度和更好的光谱质量，但会增加测量时间。该函数允许根据样品特性和测量要求动态调整检测参数，优化测量效果。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                int_time:
-                  type: string
-              required:
-              - int_time
-              type: object
-            result: {}
-          required:
-          - goal
-          title: ccd_time参数
-          type: object
-        type: UniLabJsonCommand
-      auto-laser_on_power:
-        feedback: {}
-        goal: {}
-        goal_default:
-          output_voltage_laser: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 设置激光器输出功率的函数。用于控制拉曼光谱仪激光器的功率输出，调节激光强度以适应不同样品的测量需求。适当的激光功率能够获得良好的拉曼信号同时避免样品损伤。该函数支持精确的功率控制，确保测量结果的稳定性和重现性。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                output_voltage_laser:
-                  type: string
-              required:
-              - output_voltage_laser
-              type: object
-            result: {}
-          required:
-          - goal
-          title: laser_on_power参数
-          type: object
-        type: UniLabJsonCommand
-      auto-raman_without_background:
-        feedback: {}
-        goal: {}
-        goal_default:
-          int_time: null
-          laser_power: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 执行无背景扣除的拉曼光谱测量函数。用于直接采集样品的拉曼光谱信号，不进行背景校正处理。该函数配置积分时间和激光功率参数，获取原始光谱数据用于后续的数据处理分析。适用于对光谱数据质量要求较高或需要自定义背景处理流程的测量场景。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                int_time:
-                  type: string
-                laser_power:
-                  type: string
-              required:
-              - int_time
-              - laser_power
-              type: object
-            result: {}
-          required:
-          - goal
-          title: raman_without_background参数
-          type: object
-        type: UniLabJsonCommand
-      auto-raman_without_background_average:
-        feedback: {}
-        goal: {}
-        goal_default:
-          average: null
-          int_time: null
-          laser_power: null
-          sample_name: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 执行多次平均的无背景拉曼光谱测量函数。通过多次测量取平均值来提高光谱数据的信噪比和测量精度，减少随机噪声影响。该函数支持自定义平均次数、积分时间、激光功率等参数，并可为样品指定名称便于数据管理。适用于对测量精度要求较高的定量分析和研究应用。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                average:
-                  type: string
-                int_time:
-                  type: string
-                laser_power:
-                  type: string
-                sample_name:
-                  type: string
-              required:
-              - sample_name
-              - int_time
-              - laser_power
-              - average
-              type: object
-            result: {}
-          required:
-          - goal
-          title: raman_without_background_average参数
-          type: object
-        type: UniLabJsonCommand
-      raman_cmd:
-        feedback: {}
-        goal:
-          command: command
-        goal_default:
-          command: ''
-        handles: {}
-        result:
-          success: success
-        schema:
-          description: ''
-          properties:
-            feedback:
-              properties:
-                status:
-                  type: string
-              required:
-              - status
-              title: SendCmd_Feedback
-              type: object
-            goal:
-              properties:
-                command:
-                  type: string
-              required:
-              - command
-              title: SendCmd_Goal
-              type: object
-            result:
-              properties:
-                return_info:
-                  type: string
-                success:
-                  type: boolean
-              required:
-              - return_info
-              - success
-              title: SendCmd_Result
-              type: object
-          required:
-          - goal
-          title: SendCmd
-          type: object
-        type: SendCmd
-    module: unilabos.devices.raman_uv.home_made_raman:RamanObj
-    status_types: {}
-    type: python
-  config_info: []
-  description: 拉曼光谱分析设备，用于物质的分子结构和化学成分表征。该设备集成激光器和CCD检测器，通过串口通信控制激光功率和光谱采集。具备背景扣除、多次平均、自动数据处理等功能，支持高精度的拉曼光谱测量。适用于材料表征、化学分析、质量控制、研究开发等需要分子指纹识别和结构分析的实验应用。
-  handles: []
-  icon: ''
-  init_param_schema:
-    config:
-      properties:
-        baudrate_ccd:
-          default: 921600
-          type: string
-        baudrate_laser:
-          default: 9600
-          type: string
-        port_ccd:
-          type: string
-        port_laser:
-          type: string
-      required:
-      - port_laser
-      - port_ccd
-      type: object
-    data:
-      properties: {}
-      required: []
-      type: object
-  version: 1.0.0
+{}

unilabos/registry/devices/reaction_station_bioyond.yaml

@@ -75,31 +75,6 @@ reaction_station.bioyond:
           title: load_bioyond_data_from_file参数
           type: object
         type: UniLabJsonCommand
-      auto-merge_workflow_with_parameters:
-        feedback: {}
-        goal: {}
-        goal_default:
-          json_str: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                json_str:
-                  type: string
-              required:
-              - json_str
-              type: object
-            result: {}
-          required:
-          - goal
-          title: merge_workflow_with_parameters参数
-          type: object
-        type: UniLabJsonCommand
       auto-post_init:
         feedback: {}
         goal: {}
@@ -729,6 +704,7 @@ reaction_station.bioyond:
     status_types:
       all_workflows: dict
       bioyond_status: dict
+      station_info: dict
       workstation_status: dict
     type: python
   config_info: []
@@ -742,8 +718,6 @@ reaction_station.bioyond:
           type: string
         deck:
           type: string
-        station_config:
-          type: string
       required: []
       type: object
     data:
@@ -752,11 +726,14 @@ reaction_station.bioyond:
           type: object
         bioyond_status:
           type: object
+        station_info:
+          type: object
         workstation_status:
           type: object
       required:
       - bioyond_status
       - all_workflows
+      - station_info
       - workstation_status
       type: object
   version: 1.0.0

unilabos/registry/devices/robot_linear_motion.yaml

@@ -834,174 +834,3 @@ linear_motion.toyo_xyz.sim:
     mesh: toyo_xyz
     type: device
   version: 1.0.0
-motor.iCL42:
-  category:
-  - robot_linear_motion
-  class:
-    action_value_mappings:
-      auto-execute_run_motor:
-        feedback: {}
-        goal: {}
-        goal_default:
-          mode: null
-          position: null
-          velocity: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 步进电机执行运动函数。直接执行电机运动命令，包括位置设定、速度控制和路径规划。该函数处理底层的电机控制协议，消除警告信息，设置运动参数并启动电机运行。适用于需要直接控制电机运动的应用场景。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                mode:
-                  type: string
-                position:
-                  type: number
-                velocity:
-                  type: integer
-              required:
-              - mode
-              - position
-              - velocity
-              type: object
-            result: {}
-          required:
-          - goal
-          title: execute_run_motor参数
-          type: object
-        type: UniLabJsonCommand
-      auto-init_device:
-        feedback: {}
-        goal: {}
-        goal_default: {}
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: iCL42电机设备初始化函数。建立与iCL42步进电机驱动器的串口通信连接，配置通信参数包括波特率、数据位、校验位等。该函数是电机使用前的必要步骤，确保驱动器处于可控状态并准备接收运动指令。
-          properties:
-            feedback: {}
-            goal:
-              properties: {}
-              required: []
-              type: object
-            result: {}
-          required:
-          - goal
-          title: init_device参数
-          type: object
-        type: UniLabJsonCommand
-      auto-run_motor:
-        feedback: {}
-        goal: {}
-        goal_default:
-          mode: null
-          position: null
-          velocity: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: 步进电机运动控制函数。根据指定的运动模式、目标位置和速度参数控制电机运动。支持多种运动模式和精确的位置控制，自动处理运动轨迹规划和执行。该函数提供异步执行和状态反馈，确保运动的准确性和可靠性。
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                mode:
-                  type: string
-                position:
-                  type: number
-                velocity:
-                  type: integer
-              required:
-              - mode
-              - position
-              - velocity
-              type: object
-            result: {}
-          required:
-          - goal
-          title: run_motor参数
-          type: object
-        type: UniLabJsonCommand
-      execute_command_from_outer:
-        feedback: {}
-        goal:
-          command: command
-        goal_default:
-          command: ''
-        handles: {}
-        result:
-          success: success
-        schema:
-          description: ''
-          properties:
-            feedback:
-              properties:
-                status:
-                  type: string
-              required:
-              - status
-              title: SendCmd_Feedback
-              type: object
-            goal:
-              properties:
-                command:
-                  type: string
-              required:
-              - command
-              title: SendCmd_Goal
-              type: object
-            result:
-              properties:
-                return_info:
-                  type: string
-                success:
-                  type: boolean
-              required:
-              - return_info
-              - success
-              title: SendCmd_Result
-              type: object
-          required:
-          - goal
-          title: SendCmd
-          type: object
-        type: SendCmd
-    module: unilabos.devices.motor.iCL42:iCL42Driver
-    status_types:
-      is_executing_run: bool
-      motor_position: int
-      success: bool
-    type: python
-  config_info: []
-  description: iCL42步进电机驱动器，用于实验室设备的精密线性运动控制。该设备通过串口通信控制iCL42型步进电机驱动器，支持多种运动模式和精确的位置、速度控制。具备位置反馈、运行状态监控和故障检测功能。适用于自动进样器、样品传送、精密定位平台等需要准确线性运动控制的实验室自动化设备。
-  handles: []
-  icon: ''
-  init_param_schema:
-    config:
-      properties:
-        device_address:
-          default: 1
-          type: integer
-        device_com:
-          default: COM9
-          type: string
-      required: []
-      type: object
-    data:
-      properties:
-        is_executing_run:
-          type: boolean
-        motor_position:
-          type: integer
-        success:
-          type: boolean
-      required:
-      - motor_position
-      - is_executing_run
-      - success
-      type: object
-  version: 1.0.0

unilabos/registry/devices/work_station.yaml

@@ -6120,31 +6120,6 @@ workstation.bioyond:
           title: load_bioyond_data_from_file参数
           type: object
         type: UniLabJsonCommand
-      auto-merge_workflow_with_parameters:
-        feedback: {}
-        goal: {}
-        goal_default:
-          json_str: null
-        handles: {}
-        placeholder_keys: {}
-        result: {}
-        schema:
-          description: ''
-          properties:
-            feedback: {}
-            goal:
-              properties:
-                json_str:
-                  type: string
-              required:
-              - json_str
-              type: object
-            result: {}
-          required:
-          - goal
-          title: merge_workflow_with_parameters参数
-          type: object
-        type: UniLabJsonCommand
       auto-post_init:
         feedback: {}
         goal: {}
@@ -6460,6 +6435,7 @@ workstation.bioyond:
     status_types:
       all_workflows: dict
       bioyond_status: dict
+      station_info: dict
       workstation_status: dict
     type: python
   config_info: []
@@ -6473,8 +6449,6 @@ workstation.bioyond:
           type: string
         deck:
           type: string
-        station_config:
-          type: string
       required: []
       type: object
     data:
@@ -6483,11 +6457,14 @@ workstation.bioyond:
           type: object
         bioyond_status:
           type: object
+        station_info:
+          type: object
         workstation_status:
           type: object
       required:
       - bioyond_status
       - all_workflows
+      - station_info
       - workstation_status
       type: object
   version: 1.0.0

unilabos/registry/resources/bioyond/deck.yaml

@@ -22,3 +22,15 @@ BIOYOND_PolymerReactionStation_Deck:
   init_param_schema: {}
   registry_type: resource
   version: 1.0.0
+YB_Deck14:
+  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

@@ -5,15 +5,15 @@ def bioyond_warehouse_1x4x4(name: str) -> WareHouse:
     """创建BioYond 4x1x4仓库"""
     return warehouse_factory(
         name=name,
-        num_items_x=4,
+        num_items_x=1,
         num_items_y=4,
-        num_items_z=1,
+        num_items_z=4,
         dx=10.0,
         dy=10.0,
         dz=10.0,
-        item_dx=147.0,
-        item_dy=106.0,
-        item_dz=130.0,
+        item_dx=137.0,
+        item_dy=96.0,
+        item_dz=120.0,
         category="warehouse",
     )
 
@@ -34,7 +34,113 @@ 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"""