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https://github.com/deepmodeling/Uni-Lab-OS
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修改工作流上传以及lh的物料初步判定
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@@ -581,6 +581,71 @@ class ResourceTreeSet(object):
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d["model"] = res.config.get("model", None)
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return d
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# deserialize 会单独处理的元数据 key,不传给构造函数
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_META_KEYS = {"type", "parent_name", "location", "children", "rotation", "barcode"}
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# deserialize 自定义逻辑使用的 key(如 TipSpot 用 prototype_tip 构建 make_tip),需保留
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_DESERIALIZE_PRESERVED_KEYS = {"prototype_tip"}
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def remove_incompatible_params(plr_d: dict) -> None:
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"""递归移除 PLR 类不接受的参数,避免 deserialize 报错。
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- 移除构造函数不接受的参数(如 compute_height_from_volume、ordering、category)
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- 对 TubeRack:将 ordering 转为 ordered_items
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- 保留 deserialize 自定义逻辑需要的 key(如 prototype_tip)
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"""
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if "type" in plr_d:
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sub_cls = find_subclass(plr_d["type"], PLRResource)
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if sub_cls is not None:
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spec = inspect.signature(sub_cls)
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valid_params = set(spec.parameters.keys())
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# TubeRack 特殊处理:先转换 ordering,再参与后续过滤
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if "ordering" not in valid_params and "ordering" in plr_d:
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ordering = plr_d.pop("ordering", None)
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if sub_cls.__name__ == "TubeRack":
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plr_d["ordered_items"] = (
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_ordering_to_ordered_items(plr_d, ordering)
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if ordering
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else {}
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)
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# 移除构造函数不接受的参数(保留 META 和 deserialize 自定义逻辑需要的 key)
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for key in list(plr_d.keys()):
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if (
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key not in _META_KEYS
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and key not in _DESERIALIZE_PRESERVED_KEYS
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and key not in valid_params
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):
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plr_d.pop(key, None)
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for child in plr_d.get("children", []):
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remove_incompatible_params(child)
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def _ordering_to_ordered_items(plr_d: dict, ordering: dict) -> dict:
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"""将 ordering 转为 ordered_items,从 children 构建 Tube 对象"""
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from pylabrobot.resources import Tube, Coordinate
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from pylabrobot.serializer import deserialize as plr_deserialize
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children = plr_d.get("children", [])
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ordered_items = {}
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for idx, (ident, child_name) in enumerate(ordering.items()):
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child_data = children[idx] if idx < len(children) else None
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if child_data is None:
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continue
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loc_data = child_data.get("location")
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loc = (
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plr_deserialize(loc_data)
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if loc_data
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else Coordinate(0, 0, 0)
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)
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tube = Tube(
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name=child_data.get("name", child_name or ident),
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size_x=child_data.get("size_x", 10),
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size_y=child_data.get("size_y", 10),
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size_z=child_data.get("size_z", 50),
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max_volume=child_data.get("max_volume", 1000),
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)
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tube.location = loc
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ordered_items[ident] = tube
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plr_d["children"] = [] # 已并入 ordered_items,避免重复反序列化
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return ordered_items
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plr_resources = []
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tracker = DeviceNodeResourceTracker()
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@@ -600,9 +665,7 @@ class ResourceTreeSet(object):
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raise ValueError(
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f"无法找到类型 {plr_dict['type']} 对应的 PLR 资源类。原始信息:{tree.root_node.res_content}"
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)
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spec = inspect.signature(sub_cls)
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if "category" not in spec.parameters:
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plr_dict.pop("category", None)
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remove_incompatible_params(plr_dict)
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plr_resource = sub_cls.deserialize(plr_dict, allow_marshal=True)
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from pylabrobot.resources import Coordinate
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from pylabrobot.serializer import deserialize
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