mirror of
https://github.com/deepmodeling/Uni-Lab-OS
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no opcua installation on macos
fix possible crash fix deck & host_node set liquid with tube add test_resource_schema fix test resource schema registry update & workflow update add test mode support description & tags upload fix config load fix log add registry name & add always free correct config organic synthesis Adapt to new scheduler, sampels, and edge upload format (#230) * add sample_material * adapt to new samples sys * fix pump transfer. fix resource update when protocol & ros callback * Adapt to new scheduler. Feat/samples (#229) * add sample_material * adapt to new samples sys adapt to new samples sys adapt to new edge format workflow upload & prcxi transfer liquid lh liquid speed up registry load workflow upload & set liquid fix & add set liquid with plate fix upload workflow json
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@@ -151,12 +151,40 @@ def canonicalize_links_ports(links: List[Dict[str, Any]], resource_tree_set: Res
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"""
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# 构建 id 到 uuid 的映射
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id_to_uuid: Dict[str, str] = {}
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uuid_to_id: Dict[str, str] = {}
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for node in resource_tree_set.all_nodes:
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id_to_uuid[node.res_content.id] = node.res_content.uuid
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uuid_to_id[node.res_content.uuid] = node.res_content.id
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# 第三遍处理:为每个 link 添加 source_uuid 和 target_uuid
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for link in links:
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source_id = link.get("source")
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target_id = link.get("target")
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# 添加 source_uuid
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if source_id and source_id in id_to_uuid:
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link["source_uuid"] = id_to_uuid[source_id]
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# 添加 target_uuid
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if target_id and target_id in id_to_uuid:
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link["target_uuid"] = id_to_uuid[target_id]
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source_uuid = link.get("source_uuid")
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target_uuid = link.get("target_uuid")
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# 添加 source_uuid
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if source_uuid and source_uuid in uuid_to_id:
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link["source"] = uuid_to_id[source_uuid]
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# 添加 target_uuid
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if target_uuid and target_uuid in uuid_to_id:
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link["target"] = uuid_to_id[target_uuid]
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# 第一遍处理:将字符串类型的port转换为字典格式
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for link in links:
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port = link.get("port")
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if port is None:
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continue
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if link.get("type", "physical") == "physical":
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link["type"] = "fluid"
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if isinstance(port, int):
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@@ -179,13 +207,15 @@ def canonicalize_links_ports(links: List[Dict[str, Any]], resource_tree_set: Res
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link["port"] = {link["source"]: None, link["target"]: None}
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# 构建边字典,键为(source节点, target节点),值为对应的port信息
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edges = {(link["source"], link["target"]): link["port"] for link in links}
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edges = {(link["source"], link["target"]): link["port"] for link in links if link.get("port")}
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# 第二遍处理:填充反向边的dest信息
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delete_reverses = []
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for i, link in enumerate(links):
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s, t = link["source"], link["target"]
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current_port = link["port"]
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current_port = link.get("port")
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if current_port is None:
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continue
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if current_port.get(t) is None:
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reverse_key = (t, s)
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reverse_port = edges.get(reverse_key)
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@@ -200,20 +230,6 @@ def canonicalize_links_ports(links: List[Dict[str, Any]], resource_tree_set: Res
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current_port[t] = current_port[s]
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# 删除已被使用反向端口信息的反向边
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standardized_links = [link for i, link in enumerate(links) if i not in delete_reverses]
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# 第三遍处理:为每个 link 添加 source_uuid 和 target_uuid
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for link in standardized_links:
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source_id = link.get("source")
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target_id = link.get("target")
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# 添加 source_uuid
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if source_id and source_id in id_to_uuid:
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link["source_uuid"] = id_to_uuid[source_id]
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# 添加 target_uuid
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if target_id and target_id in id_to_uuid:
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link["target_uuid"] = id_to_uuid[target_id]
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return standardized_links
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@@ -284,6 +300,8 @@ def modify_to_backend_format(data: list[dict[str, Any]]) -> list[dict[str, Any]]
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edge["sourceHandle"] = port[source]
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elif "source_port" in edge:
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edge["sourceHandle"] = edge.pop("source_port")
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elif "source_handle" in edge:
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edge["sourceHandle"] = edge.pop("source_handle")
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else:
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typ = edge.get("type")
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if typ == "communication":
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@@ -292,6 +310,8 @@ def modify_to_backend_format(data: list[dict[str, Any]]) -> list[dict[str, Any]]
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edge["targetHandle"] = port[target]
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elif "target_port" in edge:
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edge["targetHandle"] = edge.pop("target_port")
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elif "target_handle" in edge:
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edge["targetHandle"] = edge.pop("target_handle")
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else:
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typ = edge.get("type")
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if typ == "communication":
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@@ -5,6 +5,8 @@ from pydantic import BaseModel, field_serializer, field_validator, ValidationErr
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from pydantic import Field
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from typing import List, Tuple, Any, Dict, Literal, Optional, cast, TYPE_CHECKING, Union
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from typing_extensions import TypedDict
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from unilabos.resources.plr_additional_res_reg import register
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from unilabos.utils.log import logger
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@@ -14,6 +16,32 @@ if TYPE_CHECKING:
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EXTRA_CLASS = "unilabos_resource_class"
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EXTRA_SAMPLE_UUID = "sample_uuid"
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EXTRA_UNILABOS_SAMPLE_UUID = "unilabos_sample_uuid"
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# 函数参数名常量 - 用于自动注入 sample_uuids 列表
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PARAM_SAMPLE_UUIDS = "sample_uuids"
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# JSON Command 中的系统参数字段名
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JSON_UNILABOS_PARAM = "unilabos_param"
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# 返回值中的 samples 字段名
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RETURN_UNILABOS_SAMPLES = "unilabos_samples"
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# sample_uuids 参数类型 (用于 virtual bench 等设备添加 sample_uuids 参数)
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SampleUUIDsType = Dict[str, Optional["PLRResource"]]
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class LabSample(TypedDict):
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sample_uuid: str
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oss_path: str
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extra: Dict[str, Any]
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class ResourceDictPositionSizeType(TypedDict):
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depth: float
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width: float
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height: float
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class ResourceDictPositionSize(BaseModel):
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@@ -22,18 +50,40 @@ class ResourceDictPositionSize(BaseModel):
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height: float = Field(description="Height", default=0.0) # y
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class ResourceDictPositionScaleType(TypedDict):
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x: float
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y: float
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z: float
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class ResourceDictPositionScale(BaseModel):
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x: float = Field(description="x scale", default=0.0)
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y: float = Field(description="y scale", default=0.0)
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z: float = Field(description="z scale", default=0.0)
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class ResourceDictPositionObjectType(TypedDict):
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x: float
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y: float
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z: float
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class ResourceDictPositionObject(BaseModel):
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x: float = Field(description="X coordinate", default=0.0)
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y: float = Field(description="Y coordinate", default=0.0)
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z: float = Field(description="Z coordinate", default=0.0)
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class ResourceDictPositionType(TypedDict):
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size: ResourceDictPositionSizeType
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scale: ResourceDictPositionScaleType
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layout: Literal["2d", "x-y", "z-y", "x-z"]
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position: ResourceDictPositionObjectType
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position3d: ResourceDictPositionObjectType
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rotation: ResourceDictPositionObjectType
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cross_section_type: Literal["rectangle", "circle", "rounded_rectangle"]
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class ResourceDictPosition(BaseModel):
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size: ResourceDictPositionSize = Field(description="Resource size", default_factory=ResourceDictPositionSize)
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scale: ResourceDictPositionScale = Field(description="Resource scale", default_factory=ResourceDictPositionScale)
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@@ -52,6 +102,24 @@ class ResourceDictPosition(BaseModel):
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)
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class ResourceDictType(TypedDict):
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id: str
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uuid: str
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name: str
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description: str
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resource_schema: Dict[str, Any]
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model: Dict[str, Any]
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icon: str
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parent_uuid: Optional[str]
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parent: Optional["ResourceDictType"]
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type: Union[Literal["device"], str]
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klass: str
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pose: ResourceDictPositionType
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config: Dict[str, Any]
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data: Dict[str, Any]
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extra: Dict[str, Any]
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# 统一的资源字典模型,parent 自动序列化为 parent_uuid,children 不序列化
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class ResourceDict(BaseModel):
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id: str = Field(description="Resource ID")
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@@ -529,6 +597,7 @@ class ResourceTreeSet(object):
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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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location = cast(Coordinate, deserialize(plr_dict["location"]))
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plr_resource.location = location
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plr_resource.load_all_state(all_states)
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