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https://github.com/dptech-corp/Uni-Lab-OS.git
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feat: migrate to pymodbus 3.11.4 and update bioyond configs
PyModbus 3.x Migration: - Copied modbus.py and client.py from dev branch for compatibility - Rewrote FLOAT32 decoding using struct module in coin_cell_assembly.py - Fixed STRING decoding for QR codes (battery and electrolyte barcodes) - Tested successfully on hardware with correct data decoding Bioyond Studio Updates: - Updated bioyond_studio config.py - Modified bioyond_cell_workstation.py - Enhanced warehouse.py and decks.py - Added README_WAREHOUSE.md documentation Parameter Enhancements: - Enhanced coin_cell_workstation.yaml parameter descriptions - Added matrix position ranges and indexing rules Breaking changes: - Requires pymodbus >= 3.9.0 - Removed deprecated BinaryPayloadDecoder/BinaryPayloadBuilder - Updated to use client.convert_from/to_registers() methods
This commit is contained in:
Andy6M
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@@ -161,6 +161,95 @@ class BioyondCellWorkstation(BioyondWorkstation):
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logger.warning(f"任务未知状态 ({status}) (orderCode={order_code})")
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return {"status": f"unknown_{status}", "report": report}
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def get_material_info(self, material_id: str) -> Dict[str, Any]:
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"""查询物料详细信息（物料详情接口）
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Args:
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material_id: 物料 ID (GUID)
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Returns:
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物料详情，包含 name, typeName, locations 等
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"""
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result = self._post_lims("/api/lims/storage/material-info", material_id)
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return result.get("data", {})
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def _process_order_reagents(self, report: Dict[str, Any]) -> Dict[str, Any]:
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"""处理订单完成报文中的试剂数据，计算质量比
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Args:
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report: 订单完成推送的 report 数据
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Returns:
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{
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"real_mass_ratio": {"试剂A": 0.6, "试剂B": 0.4},
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"target_mass_ratio": {"试剂A": 0.6, "试剂B": 0.4},
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"reagent_details": [...] # 详细数据
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}
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"""
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used_materials = report.get("usedMaterials", [])
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# 1. 筛选试剂（typemode="2"，注意是小写且是字符串）
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reagents = [m for m in used_materials if str(m.get("typemode")) == "2"]
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if not reagents:
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logger.warning("订单完成报文中没有试剂（typeMode=2）")
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return {
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"real_mass_ratio": {},
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"target_mass_ratio": {},
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"reagent_details": []
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}
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# 2. 查询试剂名称
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reagent_data = []
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for reagent in reagents:
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material_id = reagent.get("materialId")
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if not material_id:
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continue
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try:
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info = self.get_material_info(material_id)
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name = info.get("name", f"Unknown_{material_id[:8]}")
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real_qty = float(reagent.get("realQuantity", 0.0))
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used_qty = float(reagent.get("usedQuantity", 0.0))
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reagent_data.append({
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"name": name,
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"material_id": material_id,
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"real_quantity": real_qty,
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"used_quantity": used_qty
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})
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logger.info(f"试剂: {name}, 目标={used_qty}g, 实际={real_qty}g")
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except Exception as e:
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logger.error(f"查询物料信息失败: {material_id}, {e}")
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continue
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if not reagent_data:
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return {
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"real_mass_ratio": {},
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"target_mass_ratio": {},
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"reagent_details": []
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}
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# 3. 计算质量比
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def calculate_mass_ratio(items: List[Dict], key: str) -> Dict[str, float]:
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total = sum(item[key] for item in items)
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if total == 0:
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logger.warning(f"总质量为0，无法计算{key}质量比")
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return {item["name"]: 0.0 for item in items}
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return {item["name"]: round(item[key] / total, 4) for item in items}
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real_mass_ratio = calculate_mass_ratio(reagent_data, "real_quantity")
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target_mass_ratio = calculate_mass_ratio(reagent_data, "used_quantity")
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logger.info(f"真实质量比: {real_mass_ratio}")
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logger.info(f"目标质量比: {target_mass_ratio}")
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return {
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"real_mass_ratio": real_mass_ratio,
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"target_mass_ratio": target_mass_ratio,
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"reagent_details": reagent_data
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}
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# -------------------- 基础HTTP封装 --------------------
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def _url(self, path: str) -> str:
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@@ -643,6 +732,21 @@ class BioyondCellWorkstation(BioyondWorkstation):
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# 提取报文数据
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if result.get("status") == "success":
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report = result.get("report", {})
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# [新增] 处理试剂数据，计算质量比
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try:
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mass_ratios = self._process_order_reagents(report)
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report["mass_ratios"] = mass_ratios # 添加到报文中
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logger.info(f"已计算订单 {order_code} 的试剂质量比")
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except Exception as e:
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logger.error(f"计算试剂质量比失败: {e}")
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report["mass_ratios"] = {
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"real_mass_ratio": {},
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"target_mass_ratio": {},
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"reagent_details": [],
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"error": str(e)
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}
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all_reports.append(report)
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print(f"[create_orders] ✓ 订单 {order_code} 完成")
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else:
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@@ -672,6 +776,252 @@ class BioyondCellWorkstation(BioyondWorkstation):
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return final_result
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def create_orders_v2(self, xlsx_path: str) -> Dict[str, Any]:
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"""
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从 Excel 解析并创建实验（2.14）- V2版本
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约定：
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- batchId = Excel 文件名（不含扩展名）
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- 物料列：所有以 "(g)" 结尾（不再读取"总质量(g)"列）
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- totalMass 自动计算为所有物料质量之和
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- createTime 缺失或为空时自动填充为当前日期（YYYY/M/D）
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"""
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default_path = Path("D:\\UniLab\\Uni-Lab-OS\\unilabos\\devices\\workstation\\bioyond_studio\\bioyond_cell\\2025122301.xlsx")
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path = Path(xlsx_path) if xlsx_path else default_path
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print(f"[create_orders_v2] 使用 Excel 路径: {path}")
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if path != default_path:
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print("[create_orders_v2] 来源: 调用方传入自定义路径")
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else:
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print("[create_orders_v2] 来源: 使用默认模板路径")
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if not path.exists():
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print(f"[create_orders_v2] ⚠️ Excel 文件不存在: {path}")
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raise FileNotFoundError(f"未找到 Excel 文件：{path}")
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try:
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df = pd.read_excel(path, sheet_name=0, engine="openpyxl")
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except Exception as e:
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raise RuntimeError(f"读取 Excel 失败：{e}")
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print(f"[create_orders_v2] Excel 读取成功，行数: {len(df)}, 列: {list(df.columns)}")
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# 列名容错：返回可选列名，找不到则返回 None
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def _pick(col_names: List[str]) -> Optional[str]:
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for c in col_names:
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if c in df.columns:
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return c
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return None
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col_order_name = _pick(["配方ID", "orderName", "订单编号"])
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col_create_time = _pick(["创建日期", "createTime"])
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col_bottle_type = _pick(["配液瓶类型", "bottleType"])
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col_mix_time = _pick(["混匀时间(s)", "mixTime"])
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col_load = _pick(["扣电组装分液体积", "loadSheddingInfo"])
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col_pouch = _pick(["软包组装分液体积", "pouchCellInfo"])
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col_cond = _pick(["电导测试分液体积", "conductivityInfo"])
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col_cond_cnt = _pick(["电导测试分液瓶数", "conductivityBottleCount"])
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print("[create_orders_v2] 列匹配结果:", {
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"order_name": col_order_name,
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"create_time": col_create_time,
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"bottle_type": col_bottle_type,
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"mix_time": col_mix_time,
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"load": col_load,
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"pouch": col_pouch,
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"conductivity": col_cond,
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"conductivity_bottle_count": col_cond_cnt,
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})
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# 物料列：所有以 (g) 结尾
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material_cols = [c for c in df.columns if isinstance(c, str) and c.endswith("(g)")]
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print(f"[create_orders_v2] 识别到的物料列: {material_cols}")
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if not material_cols:
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raise KeyError("未发现任何以“(g)”结尾的物料列，请检查表头。")
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batch_id = path.stem
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def _to_ymd_slash(v) -> str:
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# 统一为 "YYYY/M/D"；为空或解析失败则用当前日期
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if v is None or (isinstance(v, float) and pd.isna(v)) or str(v).strip() == "":
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ts = datetime.now()
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else:
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try:
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ts = pd.to_datetime(v)
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except Exception:
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ts = datetime.now()
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return f"{ts.year}/{ts.month}/{ts.day}"
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def _as_int(val, default=0) -> int:
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try:
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if pd.isna(val):
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return default
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return int(val)
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except Exception:
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return default
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def _as_float(val, default=0.0) -> float:
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try:
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if pd.isna(val):
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return default
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return float(val)
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except Exception:
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return default
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def _as_str(val, default="") -> str:
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if val is None or (isinstance(val, float) and pd.isna(val)):
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return default
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s = str(val).strip()
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return s if s else default
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orders: List[Dict[str, Any]] = []
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for idx, row in df.iterrows():
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mats: List[Dict[str, Any]] = []
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total_mass = 0.0
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for mcol in material_cols:
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val = row.get(mcol, None)
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if val is None or (isinstance(val, float) and pd.isna(val)):
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continue
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try:
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mass = float(val)
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except Exception:
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continue
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if mass > 0:
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mats.append({"name": mcol.replace("(g)", ""), "mass": mass})
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total_mass += mass
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else:
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if mass < 0:
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print(f"[create_orders_v2] 第 {idx+1} 行物料 {mcol} 数值为负数: {mass}")
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order_data = {
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"batchId": batch_id,
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"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}",
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"createTime": _to_ymd_slash(row[col_create_time]) if col_create_time else _to_ymd_slash(None),
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"bottleType": _as_str(row[col_bottle_type], default="配液小瓶") if col_bottle_type else "配液小瓶",
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"mixTime": _as_int(row[col_mix_time]) if col_mix_time else 0,
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"loadSheddingInfo": _as_float(row[col_load]) if col_load else 0.0,
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"pouchCellInfo": _as_float(row[col_pouch]) if col_pouch else 0,
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"conductivityInfo": _as_float(row[col_cond]) if col_cond else 0,
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"conductivityBottleCount": _as_int(row[col_cond_cnt]) if col_cond_cnt else 0,
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"materialInfos": mats,
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"totalMass": round(total_mass, 4) # 自动汇总
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}
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print(f"[create_orders_v2] 第 {idx+1} 行解析结果: orderName={order_data['orderName']}, "
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f"loadShedding={order_data['loadSheddingInfo']}, pouchCell={order_data['pouchCellInfo']}, "
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f"conductivity={order_data['conductivityInfo']}, totalMass={order_data['totalMass']}, "
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f"material_count={len(mats)}")
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if order_data["totalMass"] <= 0:
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print(f"[create_orders_v2] ⚠️ 第 {idx+1} 行总质量 <= 0，可能导致 LIMS 校验失败")
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if not mats:
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print(f"[create_orders_v2] ⚠️ 第 {idx+1} 行未找到有效物料")
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orders.append(order_data)
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print("================================================")
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print("orders:", orders)
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print(f"[create_orders_v2] 即将提交订单数量: {len(orders)}")
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response = self._post_lims("/api/lims/order/orders", orders)
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print(f"[create_orders_v2] 接口返回: {response}")
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# 提取所有返回的 orderCode
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data_list = response.get("data", [])
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if not data_list:
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logger.error("创建订单未返回有效数据！")
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return response
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# 收集所有 orderCode
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order_codes = []
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for order_item in data_list:
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code = order_item.get("orderCode")
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if code:
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order_codes.append(code)
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if not order_codes:
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logger.error("未找到任何有效的 orderCode！")
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return response
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print(f"[create_orders_v2] 等待 {len(order_codes)} 个订单完成: {order_codes}")
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# ========== 步骤1: 等待所有订单完成并收集报文（不计算质量比）==========
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all_reports = []
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for idx, order_code in enumerate(order_codes, 1):
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print(f"[create_orders_v2] 正在等待第 {idx}/{len(order_codes)} 个订单: {order_code}")
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result = self.wait_for_order_finish(order_code)
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# 提取报文数据
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if result.get("status") == "success":
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report = result.get("report", {})
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all_reports.append(report)
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print(f"[create_orders_v2] ✓ 订单 {order_code} 完成")
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else:
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logger.warning(f"订单 {order_code} 状态异常: {result.get('status')}")
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# 即使订单失败，也记录下这个结果
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all_reports.append({
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"orderCode": order_code,
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"status": result.get("status"),
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"error": result.get("message", "未知错误")
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})
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print(f"[create_orders_v2] 所有订单已完成，共收集 {len(all_reports)} 个报文")
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# ========== 步骤2: 统一计算所有订单的质量比 ==========
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print(f"[create_orders_v2] 开始统一计算 {len(all_reports)} 个订单的质量比...")
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all_mass_ratios = [] # 存储所有订单的质量比，与reports顺序一致
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for idx, report in enumerate(all_reports, 1):
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order_code = report.get("orderCode", "N/A")
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print(f"[create_orders_v2] 计算第 {idx}/{len(all_reports)} 个订单 {order_code} 的质量比...")
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# 只为成功完成的订单计算质量比
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if "error" not in report:
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try:
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mass_ratios = self._process_order_reagents(report)
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# 精简输出，只保留核心质量比信息
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all_mass_ratios.append({
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"orderCode": order_code,
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"orderName": report.get("orderName", "N/A"),
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"real_mass_ratio": mass_ratios.get("real_mass_ratio", {}),
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"target_mass_ratio": mass_ratios.get("target_mass_ratio", {})
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})
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logger.info(f"✓ 已计算订单 {order_code} 的试剂质量比")
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except Exception as e:
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logger.error(f"计算订单 {order_code} 质量比失败: {e}")
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all_mass_ratios.append({
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"orderCode": order_code,
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"orderName": report.get("orderName", "N/A"),
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"real_mass_ratio": {},
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"target_mass_ratio": {},
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"error": str(e)
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})
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else:
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# 失败的订单不计算质量比
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all_mass_ratios.append({
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"orderCode": order_code,
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"orderName": report.get("orderName", "N/A"),
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"real_mass_ratio": {},
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"target_mass_ratio": {},
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"error": "订单未成功完成"
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})
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print(f"[create_orders_v2] 质量比计算完成")
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print("实验记录本========================create_orders_v2========================")
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# 返回所有订单的完成报文
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final_result = {
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"status": "all_completed",
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"total_orders": len(order_codes),
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"bottle_count": len(order_codes), # 明确标注瓶数，用于下游check
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"reports": all_reports, # 原始订单报文（不含质量比）
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"mass_ratios": all_mass_ratios, # 所有质量比统一放在这里
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"original_response": response
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}
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print(f"返回报文数量: {len(all_reports)}")
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for i, report in enumerate(all_reports, 1):
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print(f"报文 {i}: orderCode={report.get('orderCode', 'N/A')}, status={report.get('status', 'N/A')}")
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print("========================")
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return final_result
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# 2.7 启动调度
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def scheduler_start(self) -> Dict[str, Any]:
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return self._post_lims("/api/lims/scheduler/start")
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@@ -683,7 +1033,7 @@ class BioyondCellWorkstation(BioyondWorkstation):
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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]:
|
||||
"""
|
||||
@@ -867,6 +1217,48 @@ class BioyondCellWorkstation(BioyondWorkstation):
|
||||
result = self.wait_for_order_finish(order_code)
|
||||
return result
|
||||
|
||||
def transfer_3_to_2(self,
|
||||
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]:
|
||||
"""
|
||||
2.34 3-2 物料转运接口
|
||||
|
||||
新建从 3 -> 2 的搬运任务
|
||||
|
||||
Args:
|
||||
source_wh_id: 来源仓库 Id (默认为3号仓库)
|
||||
source_x: 来源位置 X 坐标
|
||||
source_y: 来源位置 Y 坐标
|
||||
source_z: 来源位置 Z 坐标
|
||||
|
||||
Returns:
|
||||
dict: 包含任务 orderId 和 orderCode 的响应
|
||||
"""
|
||||
payload: Dict[str, Any] = {
|
||||
"sourcePosX": source_x,
|
||||
"sourcePosY": source_y,
|
||||
"sourcePosZ": source_z
|
||||
}
|
||||
if source_wh_id:
|
||||
payload["sourceWHID"] = source_wh_id
|
||||
|
||||
logger.info(f"[transfer_3_to_2] 开始转运: 仓库={source_wh_id}, 位置=({source_x}, {source_y}, {source_z})")
|
||||
response = self._post_lims("/api/lims/order/transfer-task3To2", payload)
|
||||
|
||||
# 等待任务报送成功
|
||||
order_code = response.get("data", {}).get("orderCode")
|
||||
if not order_code:
|
||||
logger.error("[transfer_3_to_2] 转运任务未返回有效 orderCode！")
|
||||
return response
|
||||
|
||||
logger.info(f"[transfer_3_to_2] 转运任务已创建: {order_code}")
|
||||
# 等待完成报送
|
||||
result = self.wait_for_order_finish(order_code)
|
||||
logger.info(f"[transfer_3_to_2] 转运任务完成: {order_code}")
|
||||
return result
|
||||
|
||||
# 3.35 1→2 物料转运
|
||||
def transfer_1_to_2(self) -> Dict[str, Any]:
|
||||
"""
|
||||
@@ -874,14 +1266,28 @@ class BioyondCellWorkstation(BioyondWorkstation):
|
||||
URL: /api/lims/order/transfer-task1To2
|
||||
只需要 apiKey 和 requestTime
|
||||
"""
|
||||
logger.info("[transfer_1_to_2] 开始 1→2 物料转运")
|
||||
response = self._post_lims("/api/lims/order/transfer-task1To2")
|
||||
# 等待任务报送成功
|
||||
order_code = response.get("data", {}).get("orderCode")
|
||||
logger.info(f"[transfer_1_to_2] API Response: {response}")
|
||||
|
||||
# 等待任务报送成功 - 处理不同的响应格式
|
||||
order_code = None
|
||||
data_field = response.get("data")
|
||||
|
||||
if isinstance(data_field, dict):
|
||||
order_code = data_field.get("orderCode")
|
||||
elif isinstance(data_field, str):
|
||||
# 某些接口可能直接返回 orderCode 字符串
|
||||
order_code = data_field
|
||||
|
||||
if not order_code:
|
||||
logger.error("上料任务未返回有效 orderCode！")
|
||||
logger.error(f"[transfer_1_to_2] 转运任务未返回有效 orderCode！响应: {response}")
|
||||
return response
|
||||
# 等待完成报送
|
||||
|
||||
logger.info(f"[transfer_1_to_2] 转运任务已创建: {order_code}")
|
||||
# 等待完成报送
|
||||
result = self.wait_for_order_finish(order_code)
|
||||
logger.info(f"[transfer_1_to_2] 转运任务完成: {order_code}")
|
||||
return result
|
||||
|
||||
# 2.5 批量查询实验报告(post过滤关键字查询)
|
||||
|
||||
Binary file not shown.
@@ -0,0 +1,12 @@
|
||||
import pubchempy as pcp
|
||||
|
||||
cas = "21324-40-3" # 示例
|
||||
comps = pcp.get_compounds(cas, namespace="name")
|
||||
if not comps:
|
||||
raise ValueError("No hit")
|
||||
|
||||
c = comps[0]
|
||||
|
||||
print("Canonical SMILES:", c.canonical_smiles)
|
||||
print("Isomeric SMILES:", c.isomeric_smiles)
|
||||
print("MW:", c.molecular_weight)
|
||||
@@ -133,6 +133,46 @@ WAREHOUSE_MAPPING = {
|
||||
"J03": "3a19deae-2c7a-f237-89d9-8fe19025dee9"
|
||||
}
|
||||
},
|
||||
"手动传递窗右": {
|
||||
"uuid": "",
|
||||
"site_uuids": {
|
||||
"A01": "3a19deae-2c7a-36f5-5e41-02c5b66feaea",
|
||||
"A02": "3a19deae-2c7a-dc6d-c41e-ef285d946cfe",
|
||||
"A03": "3a19deae-2c7a-5876-c454-6b7e224ca927",
|
||||
"B01": "3a19deae-2c7a-2426-6d71-e9de3cb158b1",
|
||||
"B02": "3a19deae-2c7a-79b0-5e44-efaafd1e4cf3",
|
||||
"B03": "3a19deae-2c7a-b9eb-f4e3-e308e0cf839a",
|
||||
"C01": "3a19deae-2c7a-32bc-768e-556647e292f3",
|
||||
"C02": "3a19deae-2c7a-e97a-8484-f5a4599447c4",
|
||||
"C03": "3a19deae-2c7a-3056-6504-10dc73fbc276",
|
||||
"D01": "3a19deae-2c7a-ffad-875e-8c4cda61d440",
|
||||
"D02": "3a19deae-2c7a-61be-601c-b6fb5610499a",
|
||||
"D03": "3a19deae-2c7a-c0f7-05a7-e3fe2491e560",
|
||||
"E01": "3a19deae-2c7a-a6f4-edd1-b436a7576363",
|
||||
"E02": "3a19deae-2c7a-4367-96dd-1ca2186f4910",
|
||||
"E03": "3a19deae-2c7a-b163-2219-23df15200311",
|
||||
}
|
||||
},
|
||||
"手动传递窗左": {
|
||||
"uuid": "",
|
||||
"site_uuids": {
|
||||
"F01": "3a19deae-2c7a-d594-fd6a-0d20de3c7c4a",
|
||||
"F02": "3a19deae-2c7a-a194-ea63-8b342b8d8679",
|
||||
"F03": "3a19deae-2c7a-f7c4-12bd-425799425698",
|
||||
"G01": "3a19deae-2c7a-0b56-72f1-8ab86e53b955",
|
||||
"G02": "3a19deae-2c7a-204e-95ed-1f1950f28343",
|
||||
"G03": "3a19deae-2c7a-392b-62f1-4907c66343f8",
|
||||
"H01": "3a19deae-2c7a-5602-e876-d27aca4e3201",
|
||||
"H02": "3a19deae-2c7a-f15c-70e0-25b58a8c9702",
|
||||
"H03": "3a19deae-2c7a-780b-8965-2e1345f7e834",
|
||||
"I01": "3a19deae-2c7a-8849-e172-07de14ede928",
|
||||
"I02": "3a19deae-2c7a-4772-a37f-ff99270bafc0",
|
||||
"I03": "3a19deae-2c7a-cce7-6e4a-25ea4a2068c4",
|
||||
"J01": "3a19deae-2c7a-1848-de92-b5d5ed054cc6",
|
||||
"J02": "3a19deae-2c7a-1d45-b4f8-6f866530e205",
|
||||
"J03": "3a19deae-2c7a-f237-89d9-8fe19025dee9"
|
||||
}
|
||||
},
|
||||
"4号手套箱内部堆栈": {
|
||||
"uuid": "",
|
||||
"site_uuids": {
|
||||
|
||||
Reference in New Issue
Block a user