10 Commits

Author SHA1 Message Date
Junhan Chang
71c9a777ba add unilabos/workflow and entrypoint 2025-12-07 15:23:51 +08:00
Xuwznln
11b2c99836 update version to 0.10.12
(cherry picked from commit b1cdef9185)
2025-12-04 18:47:44 +08:00
Xuwznln
04024bc8a3 fix ros2 future 2025-12-04 18:44:50 +08:00
Xuwznln
154048107d print all logs to file
fix resource dict dump error
2025-12-04 16:04:56 +08:00
Xuwznln
0b896870ba signal when host node is ready 2025-12-02 12:00:41 +08:00
Xuwznln
ee609e4aa2 Fix startup with remote resource error 2025-12-02 11:49:59 +08:00
Xuwznln
5551fbf360 Resource dict fully change to "pose" key 2025-12-02 03:45:16 +08:00
Xuwznln
e13b250632 Update oss link 2025-12-01 12:23:07 +08:00
Xuwznln
b8278c5026 Reduce pylabrobot conversion warning & force enable log dump. 2025-11-28 22:41:50 +08:00
ZiWei
53e767a054 更新 logo 图片 2025-11-28 11:35:05 +08:00
27 changed files with 1079 additions and 611 deletions

View File

@@ -1,6 +1,6 @@
package: package:
name: unilabos name: unilabos
version: 0.10.11 version: 0.10.12
source: source:
path: ../unilabos path: ../unilabos

Binary file not shown.

Before

Width:  |  Height:  |  Size: 326 KiB

After

Width:  |  Height:  |  Size: 262 KiB

View File

@@ -1,6 +1,6 @@
package: package:
name: ros-humble-unilabos-msgs name: ros-humble-unilabos-msgs
version: 0.10.11 version: 0.10.12
source: source:
path: ../../unilabos_msgs path: ../../unilabos_msgs
target_directory: src target_directory: src

View File

@@ -1,6 +1,6 @@
package: package:
name: unilabos name: unilabos
version: "0.10.11" version: "0.10.12"
source: source:
path: ../.. path: ../..

View File

@@ -2,7 +2,6 @@ import json
import logging import logging
import traceback import traceback
import uuid import uuid
import xml.etree.ElementTree as ET
from typing import Any, Dict, List from typing import Any, Dict, List
import networkx as nx import networkx as nx
@@ -25,7 +24,15 @@ class SimpleGraph:
def add_edge(self, source, target, **attrs): def add_edge(self, source, target, **attrs):
"""添加边""" """添加边"""
edge = {"source": source, "target": target, **attrs} # edge = {"source": source, "target": target, **attrs}
edge = {
"source": source, "target": target,
"source_node_uuid": source,
"target_node_uuid": target,
"source_handle_io": "source",
"target_handle_io": "target",
**attrs
}
self.edges.append(edge) self.edges.append(edge)
def to_dict(self): def to_dict(self):
@@ -42,6 +49,7 @@ class SimpleGraph:
"multigraph": False, "multigraph": False,
"graph": {}, "graph": {},
"nodes": nodes_list, "nodes": nodes_list,
"edges": self.edges,
"links": self.edges, "links": self.edges,
} }
@@ -58,495 +66,8 @@ def extract_json_from_markdown(text: str) -> str:
return text return text
def convert_to_type(val: str) -> Any:
"""将字符串值转换为适当的数据类型"""
if val == "True":
return True
if val == "False":
return False
if val == "?":
return None
if val.endswith(" g"):
return float(val.split(" ")[0])
if val.endswith("mg"):
return float(val.split("mg")[0])
elif val.endswith("mmol"):
return float(val.split("mmol")[0]) / 1000
elif val.endswith("mol"):
return float(val.split("mol")[0])
elif val.endswith("ml"):
return float(val.split("ml")[0])
elif val.endswith("RPM"):
return float(val.split("RPM")[0])
elif val.endswith(" °C"):
return float(val.split(" ")[0])
elif val.endswith(" %"):
return float(val.split(" ")[0])
return val
def refactor_data(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""统一的数据重构函数,根据操作类型自动选择模板"""
refactored_data = []
# 定义操作映射,包含生物实验和有机化学的所有操作
OPERATION_MAPPING = {
# 生物实验操作
"transfer_liquid": "SynBioFactory-liquid_handler.prcxi-transfer_liquid",
"transfer": "SynBioFactory-liquid_handler.biomek-transfer",
"incubation": "SynBioFactory-liquid_handler.biomek-incubation",
"move_labware": "SynBioFactory-liquid_handler.biomek-move_labware",
"oscillation": "SynBioFactory-liquid_handler.biomek-oscillation",
# 有机化学操作
"HeatChillToTemp": "SynBioFactory-workstation-HeatChillProtocol",
"StopHeatChill": "SynBioFactory-workstation-HeatChillStopProtocol",
"StartHeatChill": "SynBioFactory-workstation-HeatChillStartProtocol",
"HeatChill": "SynBioFactory-workstation-HeatChillProtocol",
"Dissolve": "SynBioFactory-workstation-DissolveProtocol",
"Transfer": "SynBioFactory-workstation-TransferProtocol",
"Evaporate": "SynBioFactory-workstation-EvaporateProtocol",
"Recrystallize": "SynBioFactory-workstation-RecrystallizeProtocol",
"Filter": "SynBioFactory-workstation-FilterProtocol",
"Dry": "SynBioFactory-workstation-DryProtocol",
"Add": "SynBioFactory-workstation-AddProtocol",
}
UNSUPPORTED_OPERATIONS = ["Purge", "Wait", "Stir", "ResetHandling"]
for step in data:
operation = step.get("action")
if not operation or operation in UNSUPPORTED_OPERATIONS:
continue
# 处理重复操作
if operation == "Repeat":
times = step.get("times", step.get("parameters", {}).get("times", 1))
sub_steps = step.get("steps", step.get("parameters", {}).get("steps", []))
for i in range(int(times)):
sub_data = refactor_data(sub_steps)
refactored_data.extend(sub_data)
continue
# 获取模板名称
template = OPERATION_MAPPING.get(operation)
if not template:
# 自动推断模板类型
if operation.lower() in ["transfer", "incubation", "move_labware", "oscillation"]:
template = f"SynBioFactory-liquid_handler.biomek-{operation}"
else:
template = f"SynBioFactory-workstation-{operation}Protocol"
# 创建步骤数据
step_data = {
"template": template,
"description": step.get("description", step.get("purpose", f"{operation} operation")),
"lab_node_type": "Device",
"parameters": step.get("parameters", step.get("action_args", {})),
}
refactored_data.append(step_data)
return refactored_data
def build_protocol_graph(
labware_info: List[Dict[str, Any]], protocol_steps: List[Dict[str, Any]], workstation_name: str
) -> SimpleGraph:
"""统一的协议图构建函数,根据设备类型自动选择构建逻辑"""
G = SimpleGraph()
resource_last_writer = {}
LAB_NAME = "SynBioFactory"
protocol_steps = refactor_data(protocol_steps)
# 检查协议步骤中的模板来判断协议类型
has_biomek_template = any(
("biomek" in step.get("template", "")) or ("prcxi" in step.get("template", ""))
for step in protocol_steps
)
if has_biomek_template:
# 生物实验协议图构建
for labware_id, labware in labware_info.items():
node_id = str(uuid.uuid4())
labware_attrs = labware.copy()
labware_id = labware_attrs.pop("id", labware_attrs.get("name", f"labware_{uuid.uuid4()}"))
labware_attrs["description"] = labware_id
labware_attrs["lab_node_type"] = (
"Reagent" if "Plate" in str(labware_id) else "Labware" if "Rack" in str(labware_id) else "Sample"
)
labware_attrs["device_id"] = workstation_name
G.add_node(node_id, template=f"{LAB_NAME}-host_node-create_resource", **labware_attrs)
resource_last_writer[labware_id] = f"{node_id}:labware"
# 处理协议步骤
prev_node = None
for i, step in enumerate(protocol_steps):
node_id = str(uuid.uuid4())
G.add_node(node_id, **step)
# 添加控制流边
if prev_node is not None:
G.add_edge(prev_node, node_id, source_port="ready", target_port="ready")
prev_node = node_id
# 处理物料流
params = step.get("parameters", {})
if "sources" in params and params["sources"] in resource_last_writer:
source_node, source_port = resource_last_writer[params["sources"]].split(":")
G.add_edge(source_node, node_id, source_port=source_port, target_port="labware")
if "targets" in params:
resource_last_writer[params["targets"]] = f"{node_id}:labware"
# 添加协议结束节点
end_id = str(uuid.uuid4())
G.add_node(end_id, template=f"{LAB_NAME}-liquid_handler.biomek-run_protocol")
if prev_node is not None:
G.add_edge(prev_node, end_id, source_port="ready", target_port="ready")
else:
# 有机化学协议图构建
WORKSTATION_ID = workstation_name
# 为所有labware创建资源节点
for item_id, item in labware_info.items():
# item_id = item.get("id") or item.get("name", f"item_{uuid.uuid4()}")
node_id = str(uuid.uuid4())
# 判断节点类型
if item.get("type") == "hardware" or "reactor" in str(item_id).lower():
if "reactor" not in str(item_id).lower():
continue
lab_node_type = "Sample"
description = f"Prepare Reactor: {item_id}"
liquid_type = []
liquid_volume = []
else:
lab_node_type = "Reagent"
description = f"Add Reagent to Flask: {item_id}"
liquid_type = [item_id]
liquid_volume = [1e5]
G.add_node(
node_id,
template=f"{LAB_NAME}-host_node-create_resource",
description=description,
lab_node_type=lab_node_type,
res_id=item_id,
device_id=WORKSTATION_ID,
class_name="container",
parent=WORKSTATION_ID,
bind_locations={"x": 0.0, "y": 0.0, "z": 0.0},
liquid_input_slot=[-1],
liquid_type=liquid_type,
liquid_volume=liquid_volume,
slot_on_deck="",
role=item.get("role", ""),
)
resource_last_writer[item_id] = f"{node_id}:labware"
last_control_node_id = None
# 处理协议步骤
for step in protocol_steps:
node_id = str(uuid.uuid4())
G.add_node(node_id, **step)
# 控制流
if last_control_node_id is not None:
G.add_edge(last_control_node_id, node_id, source_port="ready", target_port="ready")
last_control_node_id = node_id
# 物料流
params = step.get("parameters", {})
input_resources = {
"Vessel": params.get("vessel"),
"ToVessel": params.get("to_vessel"),
"FromVessel": params.get("from_vessel"),
"reagent": params.get("reagent"),
"solvent": params.get("solvent"),
"compound": params.get("compound"),
"sources": params.get("sources"),
"targets": params.get("targets"),
}
for target_port, resource_name in input_resources.items():
if resource_name and resource_name in resource_last_writer:
source_node, source_port = resource_last_writer[resource_name].split(":")
G.add_edge(source_node, node_id, source_port=source_port, target_port=target_port)
output_resources = {
"VesselOut": params.get("vessel"),
"FromVesselOut": params.get("from_vessel"),
"ToVesselOut": params.get("to_vessel"),
"FiltrateOut": params.get("filtrate_vessel"),
"reagent": params.get("reagent"),
"solvent": params.get("solvent"),
"compound": params.get("compound"),
"sources_out": params.get("sources"),
"targets_out": params.get("targets"),
}
for source_port, resource_name in output_resources.items():
if resource_name:
resource_last_writer[resource_name] = f"{node_id}:{source_port}"
return G
def draw_protocol_graph(protocol_graph: SimpleGraph, output_path: str):
"""
(辅助功能) 使用 networkx 和 matplotlib 绘制协议工作流图,用于可视化。
"""
if not protocol_graph:
print("Cannot draw graph: Graph object is empty.")
return
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template", node_id[:8]))
G.add_node(node_id, label=label, **attrs)
for edge in protocol_graph.edges:
G.add_edge(edge["source"], edge["target"])
plt.figure(figsize=(20, 15))
try:
pos = nx.nx_agraph.graphviz_layout(G, prog="dot")
except Exception:
pos = nx.shell_layout(G) # Fallback layout
node_labels = {node: data["label"] for node, data in G.nodes(data=True)}
nx.draw(
G,
pos,
with_labels=False,
node_size=2500,
node_color="skyblue",
node_shape="o",
edge_color="gray",
width=1.5,
arrowsize=15,
)
nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=8, font_weight="bold")
plt.title("Chemical Protocol Workflow Graph", size=15)
plt.savefig(output_path, dpi=300, bbox_inches="tight")
plt.close()
print(f" - Visualization saved to '{output_path}'")
from networkx.drawing.nx_agraph import to_agraph
import re
COMPASS = {"n","e","s","w","ne","nw","se","sw","c"}
def _is_compass(port: str) -> bool:
return isinstance(port, str) and port.lower() in COMPASS
def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: str = "LR"):
"""
使用 Graphviz 端口语法绘制协议工作流图。
- 若边上的 source_port/target_port 是 compassn/e/s/w/...),直接用 compass。
- 否则自动为节点创建 record 形状并定义命名端口 <portname>。
最终由 PyGraphviz 渲染并输出到 output_path后缀决定格式如 .png/.svg/.pdf
"""
if not protocol_graph:
print("Cannot draw graph: Graph object is empty.")
return
# 1) 先用 networkx 搭建有向图,保留端口属性
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template", node_id[:8]))
# 保留一个干净的“中心标签”,用于放在 record 的中间槽
G.add_node(node_id, _core_label=str(label), **{k:v for k,v in attrs.items() if k not in ("label",)})
edges_data = []
in_ports_by_node = {} # 收集命名输入端口
out_ports_by_node = {} # 收集命名输出端口
for edge in protocol_graph.edges:
u = edge["source"]
v = edge["target"]
sp = edge.get("source_port")
tp = edge.get("target_port")
# 记录到图里(保留原始端口信息)
G.add_edge(u, v, source_port=sp, target_port=tp)
edges_data.append((u, v, sp, tp))
# 如果不是 compass就按“命名端口”先归类等会儿给节点造 record
if sp and not _is_compass(sp):
out_ports_by_node.setdefault(u, set()).add(str(sp))
if tp and not _is_compass(tp):
in_ports_by_node.setdefault(v, set()).add(str(tp))
# 2) 转为 AGraph使用 Graphviz 渲染
A = to_agraph(G)
A.graph_attr.update(rankdir=rankdir, splines="true", concentrate="false", fontsize="10")
A.node_attr.update(shape="box", style="rounded,filled", fillcolor="lightyellow", color="#999999", fontname="Helvetica")
A.edge_attr.update(arrowsize="0.8", color="#666666")
# 3) 为需要命名端口的节点设置 record 形状与 label
# 左列 = 输入端口;中间 = 核心标签;右列 = 输出端口
for n in A.nodes():
node = A.get_node(n)
core = G.nodes[n].get("_core_label", n)
in_ports = sorted(in_ports_by_node.get(n, []))
out_ports = sorted(out_ports_by_node.get(n, []))
# 如果该节点涉及命名端口,则用 record否则保留原 box
if in_ports or out_ports:
def port_fields(ports):
if not ports:
return " " # 必须留一个空槽占位
# 每个端口一个小格子,<p> name
return "|".join(f"<{re.sub(r'[^A-Za-z0-9_:.|-]', '_', p)}> {p}" for p in ports)
left = port_fields(in_ports)
right = port_fields(out_ports)
# 三栏:左(入) | 中(节点名) | 右(出)
record_label = f"{{ {left} | {core} | {right} }}"
node.attr.update(shape="record", label=record_label)
else:
# 没有命名端口:普通盒子,显示核心标签
node.attr.update(label=str(core))
# 4) 给边设置 headport / tailport
# - 若端口为 compass直接用 compasse.g., headport="e"
# - 若端口为命名端口:使用在 record 中定义的 <port> 名(同名即可)
for (u, v, sp, tp) in edges_data:
e = A.get_edge(u, v)
# Graphviz 属性tail 是源head 是目标
if sp:
if _is_compass(sp):
e.attr["tailport"] = sp.lower()
else:
# 与 record label 中 <port> 名一致;特殊字符已在 label 中做了清洗
e.attr["tailport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(sp))
if tp:
if _is_compass(tp):
e.attr["headport"] = tp.lower()
else:
e.attr["headport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(tp))
# 可选:若想让边更贴边缘,可设置 constraint/spline 等
# e.attr["arrowhead"] = "vee"
# 5) 输出
A.draw(output_path, prog="dot")
print(f" - Port-aware workflow rendered to '{output_path}'")
def flatten_xdl_procedure(procedure_elem: ET.Element) -> List[ET.Element]:
"""展平嵌套的XDL程序结构"""
flattened_operations = []
TEMP_UNSUPPORTED_PROTOCOL = ["Purge", "Wait", "Stir", "ResetHandling"]
def extract_operations(element: ET.Element):
if element.tag not in ["Prep", "Reaction", "Workup", "Purification", "Procedure"]:
if element.tag not in TEMP_UNSUPPORTED_PROTOCOL:
flattened_operations.append(element)
for child in element:
extract_operations(child)
for child in procedure_elem:
extract_operations(child)
return flattened_operations
def parse_xdl_content(xdl_content: str) -> tuple:
"""解析XDL内容"""
try:
xdl_content_cleaned = "".join(c for c in xdl_content if c.isprintable())
root = ET.fromstring(xdl_content_cleaned)
synthesis_elem = root.find("Synthesis")
if synthesis_elem is None:
return None, None, None
# 解析硬件组件
hardware_elem = synthesis_elem.find("Hardware")
hardware = []
if hardware_elem is not None:
hardware = [{"id": c.get("id"), "type": c.get("type")} for c in hardware_elem.findall("Component")]
# 解析试剂
reagents_elem = synthesis_elem.find("Reagents")
reagents = []
if reagents_elem is not None:
reagents = [{"name": r.get("name"), "role": r.get("role", "")} for r in reagents_elem.findall("Reagent")]
# 解析程序
procedure_elem = synthesis_elem.find("Procedure")
if procedure_elem is None:
return None, None, None
flattened_operations = flatten_xdl_procedure(procedure_elem)
return hardware, reagents, flattened_operations
except ET.ParseError as e:
raise ValueError(f"Invalid XDL format: {e}")
def convert_xdl_to_dict(xdl_content: str) -> Dict[str, Any]:
"""
将XDL XML格式转换为标准的字典格式
Args:
xdl_content: XDL XML内容
Returns:
转换结果,包含步骤和器材信息
"""
try:
hardware, reagents, flattened_operations = parse_xdl_content(xdl_content)
if hardware is None:
return {"error": "Failed to parse XDL content", "success": False}
# 将XDL元素转换为字典格式
steps_data = []
for elem in flattened_operations:
# 转换参数类型
parameters = {}
for key, val in elem.attrib.items():
converted_val = convert_to_type(val)
if converted_val is not None:
parameters[key] = converted_val
step_dict = {
"operation": elem.tag,
"parameters": parameters,
"description": elem.get("purpose", f"Operation: {elem.tag}"),
}
steps_data.append(step_dict)
# 合并硬件和试剂为统一的labware_info格式
labware_data = []
labware_data.extend({"id": hw["id"], "type": "hardware", **hw} for hw in hardware)
labware_data.extend({"name": reagent["name"], "type": "reagent", **reagent} for reagent in reagents)
return {
"success": True,
"steps": steps_data,
"labware": labware_data,
"message": f"Successfully converted XDL to dict format. Found {len(steps_data)} steps and {len(labware_data)} labware items.",
}
except Exception as e:
error_msg = f"XDL conversion failed: {str(e)}"
logger.error(error_msg)
return {"error": error_msg, "success": False}
def create_workflow( def create_workflow(

View File

@@ -4,7 +4,7 @@ package_name = 'unilabos'
setup( setup(
name=package_name, name=package_name,
version='0.10.11', version='0.10.12',
packages=find_packages(), packages=find_packages(),
include_package_data=True, include_package_data=True,
install_requires=['setuptools'], install_requires=['setuptools'],

View File

@@ -1 +1 @@
__version__ = "0.10.11" __version__ = "0.10.12"

View File

@@ -141,7 +141,7 @@ class CommunicationClientFactory:
""" """
if cls._client_cache is None: if cls._client_cache is None:
cls._client_cache = cls.create_client(protocol) cls._client_cache = cls.create_client(protocol)
logger.info(f"[CommunicationFactory] Created {type(cls._client_cache).__name__} client") logger.trace(f"[CommunicationFactory] Created {type(cls._client_cache).__name__} client")
return cls._client_cache return cls._client_cache

View File

@@ -49,6 +49,8 @@ def convert_argv_dashes_to_underscores(args: argparse.ArgumentParser):
def parse_args(): def parse_args():
"""解析命令行参数""" """解析命令行参数"""
parser = argparse.ArgumentParser(description="Start Uni-Lab Edge server.") parser = argparse.ArgumentParser(description="Start Uni-Lab Edge server.")
subparsers = parser.add_subparsers(title="Valid subcommands", dest="command")
parser.add_argument("-g", "--graph", help="Physical setup graph file path.") parser.add_argument("-g", "--graph", help="Physical setup graph file path.")
parser.add_argument("-c", "--controllers", default=None, help="Controllers config file path.") parser.add_argument("-c", "--controllers", default=None, help="Controllers config file path.")
parser.add_argument( parser.add_argument(
@@ -153,6 +155,14 @@ def parse_args():
default=False, default=False,
help="Complete registry information", help="Complete registry information",
) )
# label
workflow_parser = subparsers.add_parser(
"workflow_upload",
help="Upload workflow from xdl/json/python files",
)
workflow_parser.add_argument("-t", "--labeltype", default="singlepoint", type=str,
help="QM calculation type, support 'singlepoint', 'optimize' and 'dimer' currently")
return parser return parser
@@ -163,6 +173,9 @@ def main():
convert_argv_dashes_to_underscores(args) convert_argv_dashes_to_underscores(args)
args_dict = vars(args.parse_args()) args_dict = vars(args.parse_args())
# 显示启动横幅
print_unilab_banner(args_dict)
# 环境检查 - 检查并自动安装必需的包 (可选) # 环境检查 - 检查并自动安装必需的包 (可选)
if not args_dict.get("skip_env_check", False): if not args_dict.get("skip_env_check", False):
from unilabos.utils.environment_check import check_environment from unilabos.utils.environment_check import check_environment
@@ -218,7 +231,7 @@ def main():
if hasattr(BasicConfig, "log_level"): if hasattr(BasicConfig, "log_level"):
logger.info(f"Log level set to '{BasicConfig.log_level}' from config file.") logger.info(f"Log level set to '{BasicConfig.log_level}' from config file.")
configure_logger(loglevel=BasicConfig.log_level, working_dir=working_dir) configure_logger(loglevel=BasicConfig.log_level, working_dir=working_dir)
if args_dict["addr"] == "test": if args_dict["addr"] == "test":
print_status("使用测试环境地址", "info") print_status("使用测试环境地址", "info")
@@ -239,7 +252,18 @@ def main():
if args_dict.get("sk", ""): if args_dict.get("sk", ""):
BasicConfig.sk = args_dict.get("sk", "") BasicConfig.sk = args_dict.get("sk", "")
print_status("传入了sk参数优先采用传入参数", "info") print_status("传入了sk参数优先采用传入参数", "info")
BasicConfig.working_dir = working_dir
# 显示启动横幅
print_unilab_banner(args_dict)
#####################################
######## 启动设备接入端(主入口) ########
#####################################
launch(args_dict)
def launch(args_dict: Dict[str, Any]):
# 使用远程资源启动 # 使用远程资源启动
if args_dict["use_remote_resource"]: if args_dict["use_remote_resource"]:
print_status("使用远程资源启动", "info") print_status("使用远程资源启动", "info")
@@ -254,7 +278,6 @@ def main():
BasicConfig.port = args_dict["port"] if args_dict["port"] else BasicConfig.port BasicConfig.port = args_dict["port"] if args_dict["port"] else BasicConfig.port
BasicConfig.disable_browser = args_dict["disable_browser"] or BasicConfig.disable_browser BasicConfig.disable_browser = args_dict["disable_browser"] or BasicConfig.disable_browser
BasicConfig.working_dir = working_dir
BasicConfig.is_host_mode = not args_dict.get("is_slave", False) BasicConfig.is_host_mode = not args_dict.get("is_slave", False)
BasicConfig.slave_no_host = args_dict.get("slave_no_host", False) BasicConfig.slave_no_host = args_dict.get("slave_no_host", False)
BasicConfig.upload_registry = args_dict.get("upload_registry", False) BasicConfig.upload_registry = args_dict.get("upload_registry", False)
@@ -278,9 +301,6 @@ def main():
from unilabos.resources.graphio import modify_to_backend_format from unilabos.resources.graphio import modify_to_backend_format
from unilabos.ros.nodes.resource_tracker import ResourceTreeSet, ResourceDict from unilabos.ros.nodes.resource_tracker import ResourceTreeSet, ResourceDict
# 显示启动横幅
print_unilab_banner(args_dict)
# 注册表 # 注册表
lab_registry = build_registry( lab_registry = build_registry(
args_dict["registry_path"], args_dict.get("complete_registry", False), args_dict["upload_registry"] args_dict["registry_path"], args_dict.get("complete_registry", False), args_dict["upload_registry"]

View File

@@ -34,14 +34,14 @@ def _get_oss_token(
client = http_client client = http_client
# 构造scene参数: driver_name-exp_type # 构造scene参数: driver_name-exp_type
scene = f"{driver_name}-{exp_type}" sub_path = f"{driver_name}-{exp_type}"
# 构造请求URL使用client的remote_addr已包含/api/v1/ # 构造请求URL使用client的remote_addr已包含/api/v1/
url = f"{client.remote_addr}/applications/token" url = f"{client.remote_addr}/applications/token"
params = {"scene": scene, "filename": filename} params = {"sub_path": sub_path, "filename": filename, "scene": "job"}
try: try:
logger.info(f"[OSS] 请求预签名URL: scene={scene}, filename={filename}") logger.info(f"[OSS] 请求预签名URL: sub_path={sub_path}, filename={filename}")
response = requests.get(url, params=params, headers={"Authorization": f"Lab {client.auth}"}, timeout=10) response = requests.get(url, params=params, headers={"Authorization": f"Lab {client.auth}"}, timeout=10)
if response.status_code == 200: if response.status_code == 200:

View File

@@ -389,7 +389,7 @@ class MessageProcessor:
self.is_running = True self.is_running = True
self.thread = threading.Thread(target=self._run, daemon=True, name="MessageProcessor") self.thread = threading.Thread(target=self._run, daemon=True, name="MessageProcessor")
self.thread.start() self.thread.start()
logger.info("[MessageProcessor] Started") logger.trace("[MessageProcessor] Started")
def stop(self) -> None: def stop(self) -> None:
"""停止消息处理线程""" """停止消息处理线程"""
@@ -939,7 +939,7 @@ class QueueProcessor:
# 事件通知机制 # 事件通知机制
self.queue_update_event = threading.Event() self.queue_update_event = threading.Event()
logger.info("[QueueProcessor] Initialized") logger.trace("[QueueProcessor] Initialized")
def set_websocket_client(self, websocket_client: "WebSocketClient"): def set_websocket_client(self, websocket_client: "WebSocketClient"):
"""设置WebSocket客户端引用""" """设置WebSocket客户端引用"""
@@ -954,7 +954,7 @@ class QueueProcessor:
self.is_running = True self.is_running = True
self.thread = threading.Thread(target=self._run, daemon=True, name="QueueProcessor") self.thread = threading.Thread(target=self._run, daemon=True, name="QueueProcessor")
self.thread.start() self.thread.start()
logger.info("[QueueProcessor] Started") logger.trace("[QueueProcessor] Started")
def stop(self) -> None: def stop(self) -> None:
"""停止队列处理线程""" """停止队列处理线程"""
@@ -1314,3 +1314,19 @@ class WebSocketClient(BaseCommunicationClient):
logger.info(f"[WebSocketClient] Job {job_log} cancelled successfully") logger.info(f"[WebSocketClient] Job {job_log} cancelled successfully")
else: else:
logger.warning(f"[WebSocketClient] Failed to cancel job {job_log}") logger.warning(f"[WebSocketClient] Failed to cancel job {job_log}")
def publish_host_ready(self) -> None:
"""发布host_node ready信号"""
if self.is_disabled or not self.is_connected():
logger.debug("[WebSocketClient] Not connected, cannot publish host ready signal")
return
message = {
"action": "host_node_ready",
"data": {
"status": "ready",
"timestamp": time.time(),
},
}
self.message_processor.send_message(message)
logger.info("[WebSocketClient] Host node ready signal published")

View File

@@ -45,10 +45,13 @@ def canonicalize_nodes_data(
print_status(f"{len(nodes)} Resources loaded:", "info") print_status(f"{len(nodes)} Resources loaded:", "info")
# 第一步基本预处理处理graphml的label字段 # 第一步基本预处理处理graphml的label字段
for node in nodes: outer_host_node_id = None
for idx, node in enumerate(nodes):
if node.get("label") is not None: if node.get("label") is not None:
node_id = node.pop("label") node_id = node.pop("label")
node["id"] = node["name"] = node_id node["id"] = node["name"] = node_id
if node["id"] == "host_node":
outer_host_node_id = idx
if not isinstance(node.get("config"), dict): if not isinstance(node.get("config"), dict):
node["config"] = {} node["config"] = {}
if not node.get("type"): if not node.get("type"):
@@ -58,25 +61,26 @@ def canonicalize_nodes_data(
node["name"] = node.get("id") node["name"] = node.get("id")
print_status(f"Warning: Node {node.get('id', 'unknown')} missing 'name', defaulting to {node['name']}", "warning") print_status(f"Warning: Node {node.get('id', 'unknown')} missing 'name', defaulting to {node['name']}", "warning")
if not isinstance(node.get("position"), dict): if not isinstance(node.get("position"), dict):
node["position"] = {"position": {}} node["pose"] = {"position": {}}
x = node.pop("x", None) x = node.pop("x", None)
if x is not None: if x is not None:
node["position"]["position"]["x"] = x node["pose"]["position"]["x"] = x
y = node.pop("y", None) y = node.pop("y", None)
if y is not None: if y is not None:
node["position"]["position"]["y"] = y node["pose"]["position"]["y"] = y
z = node.pop("z", None) z = node.pop("z", None)
if z is not None: if z is not None:
node["position"]["position"]["z"] = z node["pose"]["position"]["z"] = z
if "sample_id" in node: if "sample_id" in node:
sample_id = node.pop("sample_id") sample_id = node.pop("sample_id")
if sample_id: if sample_id:
logger.error(f"{node}的sample_id参数已弃用sample_id: {sample_id}") logger.error(f"{node}的sample_id参数已弃用sample_id: {sample_id}")
for k in list(node.keys()): for k in list(node.keys()):
if k not in ["id", "uuid", "name", "description", "schema", "model", "icon", "parent_uuid", "parent", "type", "class", "position", "config", "data", "children"]: if k not in ["id", "uuid", "name", "description", "schema", "model", "icon", "parent_uuid", "parent", "type", "class", "position", "config", "data", "children", "pose"]:
v = node.pop(k) v = node.pop(k)
node["config"][k] = v node["config"][k] = v
if outer_host_node_id is not None:
nodes.pop(outer_host_node_id)
# 第二步处理parent_relation # 第二步处理parent_relation
id2idx = {node["id"]: idx for idx, node in enumerate(nodes)} id2idx = {node["id"]: idx for idx, node in enumerate(nodes)}
for parent, children in parent_relation.items(): for parent, children in parent_relation.items():
@@ -93,7 +97,7 @@ def canonicalize_nodes_data(
for node in nodes: for node in nodes:
try: try:
print_status(f"DeviceId: {node['id']}, Class: {node['class']}", "info") # print_status(f"DeviceId: {node['id']}, Class: {node['class']}", "info")
# 使用标准化方法 # 使用标准化方法
resource_instance = ResourceDictInstance.get_resource_instance_from_dict(node) resource_instance = ResourceDictInstance.get_resource_instance_from_dict(node)
known_nodes[node["id"]] = resource_instance known_nodes[node["id"]] = resource_instance
@@ -582,11 +586,15 @@ def resource_plr_to_ulab(resource_plr: "ResourcePLR", parent_name: str = None, w
"tip_rack": "tip_rack", "tip_rack": "tip_rack",
"warehouse": "warehouse", "warehouse": "warehouse",
"container": "container", "container": "container",
"tube": "tube",
"bottle_carrier": "bottle_carrier",
"plate_adapter": "plate_adapter",
} }
if source in replace_info: if source in replace_info:
return replace_info[source] return replace_info[source]
else: else:
logger.warning(f"转换pylabrobot的时候出现未知类型: {source}") if source is not None:
logger.warning(f"转换pylabrobot的时候出现未知类型: {source}")
return source return source
def resource_plr_to_ulab_inner(d: dict, all_states: dict, child=True) -> dict: def resource_plr_to_ulab_inner(d: dict, all_states: dict, child=True) -> dict:

View File

@@ -5,6 +5,7 @@ from unilabos.ros.msgs.message_converter import (
get_action_type, get_action_type,
) )
from unilabos.ros.nodes.base_device_node import init_wrapper, ROS2DeviceNode from unilabos.ros.nodes.base_device_node import init_wrapper, ROS2DeviceNode
from unilabos.ros.nodes.resource_tracker import ResourceDictInstance
# 定义泛型类型变量 # 定义泛型类型变量
T = TypeVar("T") T = TypeVar("T")
@@ -18,12 +19,11 @@ class ROS2DeviceNodeWrapper(ROS2DeviceNode):
def ros2_device_node( def ros2_device_node(
cls: Type[T], cls: Type[T],
device_config: Optional[Dict[str, Any]] = None, device_config: Optional[ResourceDictInstance] = None,
status_types: Optional[Dict[str, Any]] = None, status_types: Optional[Dict[str, Any]] = None,
action_value_mappings: Optional[Dict[str, Any]] = None, action_value_mappings: Optional[Dict[str, Any]] = None,
hardware_interface: Optional[Dict[str, Any]] = None, hardware_interface: Optional[Dict[str, Any]] = None,
print_publish: bool = False, print_publish: bool = False,
children: Optional[Dict[str, Any]] = None,
) -> Type[ROS2DeviceNodeWrapper]: ) -> Type[ROS2DeviceNodeWrapper]:
"""Create a ROS2 Node class for a device class with properties and actions. """Create a ROS2 Node class for a device class with properties and actions.
@@ -45,7 +45,7 @@ def ros2_device_node(
if status_types is None: if status_types is None:
status_types = {} status_types = {}
if device_config is None: if device_config is None:
device_config = {} raise ValueError("device_config cannot be None")
if action_value_mappings is None: if action_value_mappings is None:
action_value_mappings = {} action_value_mappings = {}
if hardware_interface is None: if hardware_interface is None:
@@ -82,7 +82,6 @@ def ros2_device_node(
action_value_mappings=action_value_mappings, action_value_mappings=action_value_mappings,
hardware_interface=hardware_interface, hardware_interface=hardware_interface,
print_publish=print_publish, print_publish=print_publish,
children=children,
*args, *args,
**kwargs, **kwargs,
), ),

View File

@@ -4,13 +4,14 @@ from typing import Optional
from unilabos.registry.registry import lab_registry from unilabos.registry.registry import lab_registry
from unilabos.ros.device_node_wrapper import ros2_device_node from unilabos.ros.device_node_wrapper import ros2_device_node
from unilabos.ros.nodes.base_device_node import ROS2DeviceNode, DeviceInitError from unilabos.ros.nodes.base_device_node import ROS2DeviceNode, DeviceInitError
from unilabos.ros.nodes.resource_tracker import ResourceDictInstance
from unilabos.utils import logger from unilabos.utils import logger
from unilabos.utils.exception import DeviceClassInvalid from unilabos.utils.exception import DeviceClassInvalid
from unilabos.utils.import_manager import default_manager from unilabos.utils.import_manager import default_manager
def initialize_device_from_dict(device_id, device_config) -> Optional[ROS2DeviceNode]: def initialize_device_from_dict(device_id, device_config: ResourceDictInstance) -> Optional[ROS2DeviceNode]:
"""Initializes a device based on its configuration. """Initializes a device based on its configuration.
This function dynamically imports the appropriate device class and creates an instance of it using the provided device configuration. This function dynamically imports the appropriate device class and creates an instance of it using the provided device configuration.
@@ -24,15 +25,14 @@ def initialize_device_from_dict(device_id, device_config) -> Optional[ROS2Device
None None
""" """
d = None d = None
original_device_config = copy.deepcopy(device_config) device_class_config = device_config.res_content.klass
device_class_config = device_config["class"] uid = device_config.res_content.uuid
uid = device_config["uuid"]
if isinstance(device_class_config, str): # 如果是字符串则直接去lab_registry中查找获取class if isinstance(device_class_config, str): # 如果是字符串则直接去lab_registry中查找获取class
if len(device_class_config) == 0: if len(device_class_config) == 0:
raise DeviceClassInvalid(f"Device [{device_id}] class cannot be an empty string. {device_config}") raise DeviceClassInvalid(f"Device [{device_id}] class cannot be an empty string. {device_config}")
if device_class_config not in lab_registry.device_type_registry: if device_class_config not in lab_registry.device_type_registry:
raise DeviceClassInvalid(f"Device [{device_id}] class {device_class_config} not found. {device_config}") raise DeviceClassInvalid(f"Device [{device_id}] class {device_class_config} not found. {device_config}")
device_class_config = device_config["class"] = lab_registry.device_type_registry[device_class_config]["class"] device_class_config = lab_registry.device_type_registry[device_class_config]["class"]
elif isinstance(device_class_config, dict): elif isinstance(device_class_config, dict):
raise DeviceClassInvalid(f"Device [{device_id}] class config should be type 'str' but 'dict' got. {device_config}") raise DeviceClassInvalid(f"Device [{device_id}] class config should be type 'str' but 'dict' got. {device_config}")
if isinstance(device_class_config, dict): if isinstance(device_class_config, dict):
@@ -41,17 +41,16 @@ def initialize_device_from_dict(device_id, device_config) -> Optional[ROS2Device
DEVICE = ros2_device_node( DEVICE = ros2_device_node(
DEVICE, DEVICE,
status_types=device_class_config.get("status_types", {}), status_types=device_class_config.get("status_types", {}),
device_config=original_device_config, device_config=device_config,
action_value_mappings=device_class_config.get("action_value_mappings", {}), action_value_mappings=device_class_config.get("action_value_mappings", {}),
hardware_interface=device_class_config.get( hardware_interface=device_class_config.get(
"hardware_interface", "hardware_interface",
{"name": "hardware_interface", "write": "send_command", "read": "read_data", "extra_info": []}, {"name": "hardware_interface", "write": "send_command", "read": "read_data", "extra_info": []},
), )
children=device_config.get("children", {})
) )
try: try:
d = DEVICE( d = DEVICE(
device_id=device_id, device_uuid=uid, driver_is_ros=device_class_config["type"] == "ros2", driver_params=device_config.get("config", {}) device_id=device_id, device_uuid=uid, driver_is_ros=device_class_config["type"] == "ros2", driver_params=device_config.res_content.config
) )
except DeviceInitError as ex: except DeviceInitError as ex:
return d return d

View File

@@ -192,7 +192,7 @@ def slave(
for device_config in devices_config.root_nodes: for device_config in devices_config.root_nodes:
device_id = device_config.res_content.id device_id = device_config.res_content.id
if device_config.res_content.type == "device": if device_config.res_content.type == "device":
d = initialize_device_from_dict(device_id, device_config.get_nested_dict()) d = initialize_device_from_dict(device_id, device_config)
if d is not None: if d is not None:
devices_instances[device_id] = d devices_instances[device_id] = d
logger.info(f"Device {device_id} initialized.") logger.info(f"Device {device_id} initialized.")

View File

@@ -48,7 +48,7 @@ from unilabos_msgs.msg import Resource # type: ignore
from unilabos.ros.nodes.resource_tracker import ( from unilabos.ros.nodes.resource_tracker import (
DeviceNodeResourceTracker, DeviceNodeResourceTracker,
ResourceTreeSet, ResourceTreeSet,
ResourceTreeInstance, ResourceTreeInstance, ResourceDictInstance,
) )
from unilabos.ros.x.rclpyx import get_event_loop from unilabos.ros.x.rclpyx import get_event_loop
from unilabos.ros.utils.driver_creator import WorkstationNodeCreator, PyLabRobotCreator, DeviceClassCreator from unilabos.ros.utils.driver_creator import WorkstationNodeCreator, PyLabRobotCreator, DeviceClassCreator
@@ -133,12 +133,11 @@ def init_wrapper(
device_id: str, device_id: str,
device_uuid: str, device_uuid: str,
driver_class: type[T], driver_class: type[T],
device_config: Dict[str, Any], device_config: ResourceTreeInstance,
status_types: Dict[str, Any], status_types: Dict[str, Any],
action_value_mappings: Dict[str, Any], action_value_mappings: Dict[str, Any],
hardware_interface: Dict[str, Any], hardware_interface: Dict[str, Any],
print_publish: bool, print_publish: bool,
children: Optional[list] = None,
driver_params: Optional[Dict[str, Any]] = None, driver_params: Optional[Dict[str, Any]] = None,
driver_is_ros: bool = False, driver_is_ros: bool = False,
*args, *args,
@@ -147,8 +146,6 @@ def init_wrapper(
"""初始化设备节点的包装函数和ROS2DeviceNode初始化保持一致""" """初始化设备节点的包装函数和ROS2DeviceNode初始化保持一致"""
if driver_params is None: if driver_params is None:
driver_params = kwargs.copy() driver_params = kwargs.copy()
if children is None:
children = []
kwargs["device_id"] = device_id kwargs["device_id"] = device_id
kwargs["device_uuid"] = device_uuid kwargs["device_uuid"] = device_uuid
kwargs["driver_class"] = driver_class kwargs["driver_class"] = driver_class
@@ -157,7 +154,6 @@ def init_wrapper(
kwargs["status_types"] = status_types kwargs["status_types"] = status_types
kwargs["action_value_mappings"] = action_value_mappings kwargs["action_value_mappings"] = action_value_mappings
kwargs["hardware_interface"] = hardware_interface kwargs["hardware_interface"] = hardware_interface
kwargs["children"] = children
kwargs["print_publish"] = print_publish kwargs["print_publish"] = print_publish
kwargs["driver_is_ros"] = driver_is_ros kwargs["driver_is_ros"] = driver_is_ros
super(type(self), self).__init__(*args, **kwargs) super(type(self), self).__init__(*args, **kwargs)
@@ -586,7 +582,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
except Exception as e: except Exception as e:
self.lab_logger().error(f"更新资源uuid失败: {e}") self.lab_logger().error(f"更新资源uuid失败: {e}")
self.lab_logger().error(traceback.format_exc()) self.lab_logger().error(traceback.format_exc())
self.lab_logger().debug(f"资源更新结果: {response}") self.lab_logger().trace(f"资源更新结果: {response}")
async def get_resource(self, resources_uuid: List[str], with_children: bool = True) -> ResourceTreeSet: async def get_resource(self, resources_uuid: List[str], with_children: bool = True) -> ResourceTreeSet:
""" """
@@ -1168,7 +1164,6 @@ class BaseROS2DeviceNode(Node, Generic[T]):
execution_error = traceback.format_exc() execution_error = traceback.format_exc()
break break
##### self.lab_logger().info(f"准备执行: {action_kwargs}, 函数: {ACTION.__name__}")
time_start = time.time() time_start = time.time()
time_overall = 100 time_overall = 100
future = None future = None
@@ -1176,35 +1171,36 @@ class BaseROS2DeviceNode(Node, Generic[T]):
# 将阻塞操作放入线程池执行 # 将阻塞操作放入线程池执行
if asyncio.iscoroutinefunction(ACTION): if asyncio.iscoroutinefunction(ACTION):
try: try:
##### self.lab_logger().info(f"异步执行动作 {ACTION}") self.lab_logger().trace(f"异步执行动作 {ACTION}")
future = ROS2DeviceNode.run_async_func(ACTION, trace_error=False, **action_kwargs) def _handle_future_exception(fut: Future):
def _handle_future_exception(fut):
nonlocal execution_error, execution_success, action_return_value nonlocal execution_error, execution_success, action_return_value
try: try:
action_return_value = fut.result() action_return_value = fut.result()
if isinstance(action_return_value, BaseException):
raise action_return_value
execution_success = True execution_success = True
except Exception as e: except Exception as _:
execution_error = traceback.format_exc() execution_error = traceback.format_exc()
error( error(
f"异步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{action_kwargs}" f"异步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{action_kwargs}"
) )
future = ROS2DeviceNode.run_async_func(ACTION, trace_error=False, **action_kwargs)
future.add_done_callback(_handle_future_exception) future.add_done_callback(_handle_future_exception)
except Exception as e: except Exception as e:
execution_error = traceback.format_exc() execution_error = traceback.format_exc()
execution_success = False execution_success = False
self.lab_logger().error(f"创建异步任务失败: {traceback.format_exc()}") self.lab_logger().error(f"创建异步任务失败: {traceback.format_exc()}")
else: else:
##### self.lab_logger().info(f"同步执行动作 {ACTION}") self.lab_logger().trace(f"同步执行动作 {ACTION}")
future = self._executor.submit(ACTION, **action_kwargs) future = self._executor.submit(ACTION, **action_kwargs)
def _handle_future_exception(fut): def _handle_future_exception(fut: Future):
nonlocal execution_error, execution_success, action_return_value nonlocal execution_error, execution_success, action_return_value
try: try:
action_return_value = fut.result() action_return_value = fut.result()
execution_success = True execution_success = True
except Exception as e: except Exception as _:
execution_error = traceback.format_exc() execution_error = traceback.format_exc()
error( error(
f"同步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{action_kwargs}" f"同步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{action_kwargs}"
@@ -1309,7 +1305,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
get_result_info_str(execution_error, execution_success, action_return_value), get_result_info_str(execution_error, execution_success, action_return_value),
) )
##### self.lab_logger().info(f"动作 {action_name} 完成并返回结果") self.lab_logger().trace(f"动作 {action_name} 完成并返回结果")
return result_msg return result_msg
return execute_callback return execute_callback
@@ -1544,17 +1540,29 @@ class ROS2DeviceNode:
这个类封装了设备类实例和ROS2节点的功能提供ROS2接口。 这个类封装了设备类实例和ROS2节点的功能提供ROS2接口。
它不继承设备类,而是通过代理模式访问设备类的属性和方法。 它不继承设备类,而是通过代理模式访问设备类的属性和方法。
""" """
@staticmethod
async def safe_task_wrapper(trace_callback, func, **kwargs):
try:
if callable(trace_callback):
trace_callback(await func(**kwargs))
return await func(**kwargs)
except Exception as e:
if callable(trace_callback):
trace_callback(e)
return e
@classmethod @classmethod
def run_async_func(cls, func, trace_error=True, **kwargs) -> Task: def run_async_func(cls, func, trace_error=True, inner_trace_callback=None, **kwargs) -> Task:
def _handle_future_exception(fut): def _handle_future_exception(fut: Future):
try: try:
fut.result() ret = fut.result()
if isinstance(ret, BaseException):
raise ret
except Exception as e: except Exception as e:
error(f"异步任务 {func.__name__} 报错了") error(f"异步任务 {func.__name__} 获取结果失败")
error(traceback.format_exc()) error(traceback.format_exc())
future = rclpy.get_global_executor().create_task(func(**kwargs)) future = rclpy.get_global_executor().create_task(ROS2DeviceNode.safe_task_wrapper(inner_trace_callback, func, **kwargs))
if trace_error: if trace_error:
future.add_done_callback(_handle_future_exception) future.add_done_callback(_handle_future_exception)
return future return future
@@ -1582,12 +1590,11 @@ class ROS2DeviceNode:
device_id: str, device_id: str,
device_uuid: str, device_uuid: str,
driver_class: Type[T], driver_class: Type[T],
device_config: Dict[str, Any], device_config: ResourceDictInstance,
driver_params: Dict[str, Any], driver_params: Dict[str, Any],
status_types: Dict[str, Any], status_types: Dict[str, Any],
action_value_mappings: Dict[str, Any], action_value_mappings: Dict[str, Any],
hardware_interface: Dict[str, Any], hardware_interface: Dict[str, Any],
children: Dict[str, Any],
print_publish: bool = True, print_publish: bool = True,
driver_is_ros: bool = False, driver_is_ros: bool = False,
): ):
@@ -1598,7 +1605,7 @@ class ROS2DeviceNode:
device_id: 设备标识符 device_id: 设备标识符
device_uuid: 设备uuid device_uuid: 设备uuid
driver_class: 设备类 driver_class: 设备类
device_config: 原始初始化的json device_config: 原始初始化的ResourceDictInstance
driver_params: driver初始化的参数 driver_params: driver初始化的参数
status_types: 状态类型映射 status_types: 状态类型映射
action_value_mappings: 动作值映射 action_value_mappings: 动作值映射
@@ -1612,6 +1619,7 @@ class ROS2DeviceNode:
self._has_async_context = hasattr(driver_class, "__aenter__") and hasattr(driver_class, "__aexit__") self._has_async_context = hasattr(driver_class, "__aenter__") and hasattr(driver_class, "__aexit__")
self._driver_class = driver_class self._driver_class = driver_class
self.device_config = device_config self.device_config = device_config
children: List[ResourceDictInstance] = device_config.children
self.driver_is_ros = driver_is_ros self.driver_is_ros = driver_is_ros
self.driver_is_workstation = False self.driver_is_workstation = False
self.resource_tracker = DeviceNodeResourceTracker() self.resource_tracker = DeviceNodeResourceTracker()

View File

@@ -289,6 +289,12 @@ class HostNode(BaseROS2DeviceNode):
self.lab_logger().info("[Host Node] Host node initialized.") self.lab_logger().info("[Host Node] Host node initialized.")
HostNode._ready_event.set() HostNode._ready_event.set()
# 发送host_node ready信号到所有桥接器
for bridge in self.bridges:
if hasattr(bridge, "publish_host_ready"):
bridge.publish_host_ready()
self.lab_logger().debug(f"Host ready signal sent via {bridge.__class__.__name__}")
def _send_re_register(self, sclient): def _send_re_register(self, sclient):
sclient.wait_for_service() sclient.wait_for_service()
request = SerialCommand.Request() request = SerialCommand.Request()
@@ -532,7 +538,7 @@ class HostNode(BaseROS2DeviceNode):
self.lab_logger().info(f"[Host Node] Initializing device: {device_id}") self.lab_logger().info(f"[Host Node] Initializing device: {device_id}")
try: try:
d = initialize_device_from_dict(device_id, device_config.get_nested_dict()) d = initialize_device_from_dict(device_id, device_config)
except DeviceClassInvalid as e: except DeviceClassInvalid as e:
self.lab_logger().error(f"[Host Node] Device class invalid: {e}") self.lab_logger().error(f"[Host Node] Device class invalid: {e}")
d = None d = None
@@ -712,7 +718,7 @@ class HostNode(BaseROS2DeviceNode):
feedback_callback=lambda feedback_msg: self.feedback_callback(item, action_id, feedback_msg), feedback_callback=lambda feedback_msg: self.feedback_callback(item, action_id, feedback_msg),
goal_uuid=goal_uuid_obj, goal_uuid=goal_uuid_obj,
) )
future.add_done_callback(lambda future: self.goal_response_callback(item, action_id, future)) future.add_done_callback(lambda f: self.goal_response_callback(item, action_id, f))
def goal_response_callback(self, item: "QueueItem", action_id: str, future) -> None: def goal_response_callback(self, item: "QueueItem", action_id: str, future) -> None:
"""目标响应回调""" """目标响应回调"""
@@ -723,9 +729,11 @@ class HostNode(BaseROS2DeviceNode):
self.lab_logger().info(f"[Host Node] Goal {action_id} ({item.job_id}) accepted") self.lab_logger().info(f"[Host Node] Goal {action_id} ({item.job_id}) accepted")
self._goals[item.job_id] = goal_handle self._goals[item.job_id] = goal_handle
goal_handle.get_result_async().add_done_callback( goal_future = goal_handle.get_result_async()
lambda future: self.get_result_callback(item, action_id, future) goal_future.add_done_callback(
lambda f: self.get_result_callback(item, action_id, f)
) )
goal_future.result()
def feedback_callback(self, item: "QueueItem", action_id: str, feedback_msg) -> None: def feedback_callback(self, item: "QueueItem", action_id: str, feedback_msg) -> None:
"""反馈回调""" """反馈回调"""
@@ -794,6 +802,7 @@ class HostNode(BaseROS2DeviceNode):
# 存储结果供 HTTP API 查询 # 存储结果供 HTTP API 查询
try: try:
from unilabos.app.web.controller import store_job_result from unilabos.app.web.controller import store_job_result
if goal_status == GoalStatus.STATUS_CANCELED: if goal_status == GoalStatus.STATUS_CANCELED:
store_job_result(job_id, status, return_info, {}) store_job_result(job_id, status, return_info, {})
else: else:

View File

@@ -24,7 +24,7 @@ from unilabos.ros.msgs.message_converter import (
convert_from_ros_msg_with_mapping, convert_from_ros_msg_with_mapping,
) )
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeResourceTracker, ROS2DeviceNode from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeResourceTracker, ROS2DeviceNode
from unilabos.ros.nodes.resource_tracker import ResourceTreeSet from unilabos.ros.nodes.resource_tracker import ResourceTreeSet, ResourceDictInstance
from unilabos.utils.type_check import get_result_info_str from unilabos.utils.type_check import get_result_info_str
if TYPE_CHECKING: if TYPE_CHECKING:
@@ -47,7 +47,7 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
def __init__( def __init__(
self, self,
protocol_type: List[str], protocol_type: List[str],
children: Dict[str, Any], children: List[ResourceDictInstance],
*, *,
driver_instance: "WorkstationBase", driver_instance: "WorkstationBase",
device_id: str, device_id: str,
@@ -81,10 +81,11 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
# 初始化子设备 # 初始化子设备
self.communication_node_id_to_instance = {} self.communication_node_id_to_instance = {}
for device_id, device_config in self.children.items(): for device_config in self.children:
if device_config.get("type", "device") != "device": device_id = device_config.res_content.id
if device_config.res_content.type != "device":
self.lab_logger().debug( self.lab_logger().debug(
f"[Protocol Node] Skipping type {device_config['type']} {device_id} already existed, skipping." f"[Protocol Node] Skipping type {device_config.res_content.type} {device_id} already existed, skipping."
) )
continue continue
try: try:
@@ -101,8 +102,9 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
self.communication_node_id_to_instance[device_id] = d self.communication_node_id_to_instance[device_id] = d
continue continue
for device_id, device_config in self.children.items(): for device_config in self.children:
if device_config.get("type", "device") != "device": device_id = device_config.res_content.id
if device_config.res_content.type != "device":
continue continue
# 设置硬件接口代理 # 设置硬件接口代理
if device_id not in self.sub_devices: if device_id not in self.sub_devices:

View File

@@ -1,9 +1,11 @@
import inspect
import traceback import traceback
import uuid import uuid
from pydantic import BaseModel, field_serializer, field_validator from pydantic import BaseModel, field_serializer, field_validator
from pydantic import Field from pydantic import Field
from typing import List, Tuple, Any, Dict, Literal, Optional, cast, TYPE_CHECKING, Union from typing import List, Tuple, Any, Dict, Literal, Optional, cast, TYPE_CHECKING, Union
from unilabos.resources.plr_additional_res_reg import register
from unilabos.utils.log import logger from unilabos.utils.log import logger
if TYPE_CHECKING: if TYPE_CHECKING:
@@ -62,7 +64,6 @@ class ResourceDict(BaseModel):
parent: Optional["ResourceDict"] = Field(description="Parent resource object", default=None, exclude=True) parent: Optional["ResourceDict"] = Field(description="Parent resource object", default=None, exclude=True)
type: Union[Literal["device"], str] = Field(description="Resource type") type: Union[Literal["device"], str] = Field(description="Resource type")
klass: str = Field(alias="class", description="Resource class name") klass: str = Field(alias="class", description="Resource class name")
position: ResourceDictPosition = Field(description="Resource position", default_factory=ResourceDictPosition)
pose: ResourceDictPosition = Field(description="Resource position", default_factory=ResourceDictPosition) pose: ResourceDictPosition = Field(description="Resource position", default_factory=ResourceDictPosition)
config: Dict[str, Any] = Field(description="Resource configuration") config: Dict[str, Any] = Field(description="Resource configuration")
data: Dict[str, Any] = Field(description="Resource data") data: Dict[str, Any] = Field(description="Resource data")
@@ -146,15 +147,16 @@ class ResourceDictInstance(object):
if not content.get("extra"): # MagicCode if not content.get("extra"): # MagicCode
content["extra"] = {} content["extra"] = {}
if "pose" not in content: if "pose" not in content:
content["pose"] = content.get("position", {}) content["pose"] = content.pop("position", {})
return ResourceDictInstance(ResourceDict.model_validate(content)) return ResourceDictInstance(ResourceDict.model_validate(content))
def get_nested_dict(self) -> Dict[str, Any]: def get_plr_nested_dict(self) -> Dict[str, Any]:
"""获取资源实例的嵌套字典表示""" """获取资源实例的嵌套字典表示"""
res_dict = self.res_content.model_dump(by_alias=True) res_dict = self.res_content.model_dump(by_alias=True)
res_dict["children"] = {child.res_content.id: child.get_nested_dict() for child in self.children} res_dict["children"] = {child.res_content.id: child.get_plr_nested_dict() for child in self.children}
res_dict["parent"] = self.res_content.parent_instance_name res_dict["parent"] = self.res_content.parent_instance_name
res_dict["position"] = self.res_content.position.position.model_dump() res_dict["position"] = self.res_content.pose.position.model_dump()
del res_dict["pose"]
return res_dict return res_dict
@@ -429,9 +431,9 @@ class ResourceTreeSet(object):
Returns: Returns:
List[PLRResource]: PLR 资源实例列表 List[PLRResource]: PLR 资源实例列表
""" """
register()
from pylabrobot.resources import Resource as PLRResource from pylabrobot.resources import Resource as PLRResource
from pylabrobot.utils.object_parsing import find_subclass from pylabrobot.utils.object_parsing import find_subclass
import inspect
# 类型映射 # 类型映射
TYPE_MAP = {"plate": "Plate", "well": "Well", "deck": "Deck", "container": "RegularContainer"} TYPE_MAP = {"plate": "Plate", "well": "Well", "deck": "Deck", "container": "RegularContainer"}
@@ -459,9 +461,9 @@ class ResourceTreeSet(object):
"size_y": res.config.get("size_y", 0), "size_y": res.config.get("size_y", 0),
"size_z": res.config.get("size_z", 0), "size_z": res.config.get("size_z", 0),
"location": { "location": {
"x": res.position.position.x, "x": res.pose.position.x,
"y": res.position.position.y, "y": res.pose.position.y,
"z": res.position.position.z, "z": res.pose.position.z,
"type": "Coordinate", "type": "Coordinate",
}, },
"rotation": {"x": 0, "y": 0, "z": 0, "type": "Rotation"}, "rotation": {"x": 0, "y": 0, "z": 0, "type": "Rotation"},

View File

@@ -9,10 +9,11 @@ import asyncio
import inspect import inspect
import traceback import traceback
from abc import abstractmethod from abc import abstractmethod
from typing import Type, Any, Dict, Optional, TypeVar, Generic from typing import Type, Any, Dict, Optional, TypeVar, Generic, List
from unilabos.resources.graphio import nested_dict_to_list, resource_ulab_to_plr from unilabos.resources.graphio import nested_dict_to_list, resource_ulab_to_plr
from unilabos.ros.nodes.resource_tracker import DeviceNodeResourceTracker from unilabos.ros.nodes.resource_tracker import DeviceNodeResourceTracker, ResourceTreeSet, ResourceDictInstance, \
ResourceTreeInstance
from unilabos.utils import logger, import_manager from unilabos.utils import logger, import_manager
from unilabos.utils.cls_creator import create_instance_from_config from unilabos.utils.cls_creator import create_instance_from_config
@@ -33,7 +34,7 @@ class DeviceClassCreator(Generic[T]):
这个类提供了从任意类创建实例的通用方法。 这个类提供了从任意类创建实例的通用方法。
""" """
def __init__(self, cls: Type[T], children: Dict[str, Any], resource_tracker: DeviceNodeResourceTracker): def __init__(self, cls: Type[T], children: List[ResourceDictInstance], resource_tracker: DeviceNodeResourceTracker):
""" """
初始化设备类创建器 初始化设备类创建器
@@ -50,9 +51,9 @@ class DeviceClassCreator(Generic[T]):
附加资源到设备类实例 附加资源到设备类实例
""" """
if self.device_instance is not None: if self.device_instance is not None:
for c in self.children.values(): for c in self.children:
if c["type"] != "device": if c.res_content.type != "device":
self.resource_tracker.add_resource(c) self.resource_tracker.add_resource(c.get_plr_nested_dict())
def create_instance(self, data: Dict[str, Any]) -> T: def create_instance(self, data: Dict[str, Any]) -> T:
""" """
@@ -94,7 +95,7 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
这个类提供了针对PyLabRobot设备类的实例创建方法特别处理deserialize方法。 这个类提供了针对PyLabRobot设备类的实例创建方法特别处理deserialize方法。
""" """
def __init__(self, cls: Type[T], children: Dict[str, Any], resource_tracker: DeviceNodeResourceTracker): def __init__(self, cls: Type[T], children: List[ResourceDictInstance], resource_tracker: DeviceNodeResourceTracker):
""" """
初始化PyLabRobot设备类创建器 初始化PyLabRobot设备类创建器
@@ -111,12 +112,12 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
def attach_resource(self): def attach_resource(self):
pass # 只能增加实例化物料,原来默认物料仅为字典查询 pass # 只能增加实例化物料,原来默认物料仅为字典查询
def _process_resource_mapping(self, resource, source_type): # def _process_resource_mapping(self, resource, source_type):
if source_type == dict: # if source_type == dict:
from pylabrobot.resources.resource import Resource # from pylabrobot.resources.resource import Resource
#
return nested_dict_to_list(resource), Resource # return nested_dict_to_list(resource), Resource
return resource, source_type # return resource, source_type
def _process_resource_references( def _process_resource_references(
self, data: Any, to_dict=False, states=None, prefix_path="", name_to_uuid=None self, data: Any, to_dict=False, states=None, prefix_path="", name_to_uuid=None
@@ -142,15 +143,21 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
if isinstance(data, dict): if isinstance(data, dict):
if "_resource_child_name" in data: if "_resource_child_name" in data:
child_name = data["_resource_child_name"] child_name = data["_resource_child_name"]
if child_name in self.children: resource: Optional[ResourceDictInstance] = None
resource = self.children[child_name] for child in self.children:
if child.res_content.name == child_name:
resource = child
if resource is not None:
if "_resource_type" in data: if "_resource_type" in data:
type_path = data["_resource_type"] type_path = data["_resource_type"]
try: try:
target_type = import_manager.get_class(type_path) # target_type = import_manager.get_class(type_path)
contain_model = not issubclass(target_type, Deck) # contain_model = not issubclass(target_type, Deck)
resource, target_type = self._process_resource_mapping(resource, target_type) # resource, target_type = self._process_resource_mapping(resource, target_type)
resource_instance: Resource = resource_ulab_to_plr(resource, contain_model) # 带state res_tree = ResourceTreeInstance(resource)
res_tree_set = ResourceTreeSet([res_tree])
resource_instance: Resource = res_tree_set.to_plr_resources()[0]
# resource_instance: Resource = resource_ulab_to_plr(resource, contain_model) # 带state
states[prefix_path] = resource_instance.serialize_all_state() states[prefix_path] = resource_instance.serialize_all_state()
# 使用 prefix_path 作为 key 存储资源状态 # 使用 prefix_path 作为 key 存储资源状态
if to_dict: if to_dict:
@@ -202,12 +209,12 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
stack = None stack = None
# 递归遍历 children 构建 name_to_uuid 映射 # 递归遍历 children 构建 name_to_uuid 映射
def collect_name_to_uuid(children_dict: Dict[str, Any], result: Dict[str, str]): def collect_name_to_uuid(children_list: List[ResourceDictInstance], result: Dict[str, str]):
"""递归遍历嵌套的 children 字典,收集 name 到 uuid 的映射""" """递归遍历嵌套的 children 字典,收集 name 到 uuid 的映射"""
for child in children_dict.values(): for child in children_list:
if isinstance(child, dict): if isinstance(child, ResourceDictInstance):
result[child["name"]] = child["uuid"] result[child.res_content.name] = child.res_content.uuid
collect_name_to_uuid(child["children"], result) collect_name_to_uuid(child.children, result)
name_to_uuid = {} name_to_uuid = {}
collect_name_to_uuid(self.children, name_to_uuid) collect_name_to_uuid(self.children, name_to_uuid)
@@ -313,7 +320,7 @@ class WorkstationNodeCreator(DeviceClassCreator[T]):
这个类提供了针对WorkstationNode设备类的实例创建方法处理children参数。 这个类提供了针对WorkstationNode设备类的实例创建方法处理children参数。
""" """
def __init__(self, cls: Type[T], children: Dict[str, Any], resource_tracker: DeviceNodeResourceTracker): def __init__(self, cls: Type[T], children: List[ResourceDictInstance], resource_tracker: DeviceNodeResourceTracker):
""" """
初始化WorkstationNode设备类创建器 初始化WorkstationNode设备类创建器
@@ -336,9 +343,9 @@ class WorkstationNodeCreator(DeviceClassCreator[T]):
try: try:
# 创建实例额外补充一个给protocol node的字段后面考虑取消 # 创建实例额外补充一个给protocol node的字段后面考虑取消
data["children"] = self.children data["children"] = self.children
for material_id, child in self.children.items(): for child in self.children:
if child["type"] != "device": if child.res_content.type != "device":
self.resource_tracker.add_resource(self.children[material_id]) self.resource_tracker.add_resource(child.get_plr_nested_dict())
deck_dict = data.get("deck") deck_dict = data.get("deck")
if deck_dict: if deck_dict:
from pylabrobot.resources import Deck, Resource from pylabrobot.resources import Deck, Resource

View File

@@ -9,7 +9,7 @@ if str(ROOT_DIR) not in sys.path:
import pytest import pytest
from scripts.workflow import build_protocol_graph, draw_protocol_graph, draw_protocol_graph_with_ports from unilabos.workflow.common import build_protocol_graph, draw_protocol_graph, draw_protocol_graph_with_ports
ROOT_DIR = Path(__file__).resolve().parents[2] ROOT_DIR = Path(__file__).resolve().parents[2]

View File

@@ -162,8 +162,9 @@ def configure_logger(loglevel=None, working_dir=None):
""" """
# 获取根日志记录器 # 获取根日志记录器
root_logger = logging.getLogger() root_logger = logging.getLogger()
root_logger.setLevel(TRACE_LEVEL)
# 设置日志级别 # 设置日志级别
numeric_level = logging.DEBUG
if loglevel is not None: if loglevel is not None:
if isinstance(loglevel, str): if isinstance(loglevel, str):
# 将字符串转换为logging级别 # 将字符串转换为logging级别
@@ -173,12 +174,8 @@ def configure_logger(loglevel=None, working_dir=None):
numeric_level = getattr(logging, loglevel.upper(), None) numeric_level = getattr(logging, loglevel.upper(), None)
if not isinstance(numeric_level, int): if not isinstance(numeric_level, int):
print(f"警告: 无效的日志级别 '{loglevel}',使用默认级别 DEBUG") print(f"警告: 无效的日志级别 '{loglevel}',使用默认级别 DEBUG")
numeric_level = logging.DEBUG
else: else:
numeric_level = loglevel numeric_level = loglevel
root_logger.setLevel(numeric_level)
else:
root_logger.setLevel(logging.DEBUG) # 默认级别
# 移除已存在的处理器 # 移除已存在的处理器
for handler in root_logger.handlers[:]: for handler in root_logger.handlers[:]:
@@ -186,7 +183,7 @@ def configure_logger(loglevel=None, working_dir=None):
# 创建控制台处理器 # 创建控制台处理器
console_handler = logging.StreamHandler() console_handler = logging.StreamHandler()
console_handler.setLevel(root_logger.level) # 使用与根记录器相同的级别 console_handler.setLevel(numeric_level) # 使用与根记录器相同的级别
# 使用自定义的颜色格式化器 # 使用自定义的颜色格式化器
color_formatter = ColoredFormatter() color_formatter = ColoredFormatter()
@@ -206,7 +203,7 @@ def configure_logger(loglevel=None, working_dir=None):
# 创建文件处理器 # 创建文件处理器
file_handler = logging.FileHandler(log_filepath, encoding="utf-8") file_handler = logging.FileHandler(log_filepath, encoding="utf-8")
file_handler.setLevel(root_logger.level) file_handler.setLevel(TRACE_LEVEL)
# 使用不带颜色的格式化器 # 使用不带颜色的格式化器
file_formatter = ColoredFormatter(use_colors=False) file_formatter = ColoredFormatter(use_colors=False)

484
unilabos/workflow/common.py Normal file
View File

@@ -0,0 +1,484 @@
import re
import uuid
import networkx as nx
from networkx.drawing.nx_agraph import to_agraph
import matplotlib.pyplot as plt
from typing import Dict, List, Any, Tuple, Optional
Json = Dict[str, Any]
# ---------------- Graph ----------------
class WorkflowGraph:
"""简单的有向图实现:使用 params 单层参数inputs 内含连线;支持 node-link 导出"""
def __init__(self):
self.nodes: Dict[str, Dict[str, Any]] = {}
self.edges: List[Dict[str, Any]] = []
def add_node(self, node_id: str, **attrs):
self.nodes[node_id] = attrs
def add_edge(self, source: str, target: str, **attrs):
edge = {
"source": source,
"target": target,
"source_node_uuid": source,
"target_node_uuid": target,
"source_handle_io": attrs.pop("source_handle_io", "source"),
"target_handle_io": attrs.pop("target_handle_io", "target"),
**attrs
}
self.edges.append(edge)
def _materialize_wiring_into_inputs(self, obj: Any, inputs: Dict[str, Any],
variable_sources: Dict[str, Dict[str, Any]],
target_node_id: str, base_path: List[str]):
has_var = False
def walk(node: Any, path: List[str]):
nonlocal has_var
if isinstance(node, dict):
if "__var__" in node:
has_var = True
varname = node["__var__"]
placeholder = f"${{{varname}}}"
src = variable_sources.get(varname)
if src:
key = ".".join(path) # e.g. "params.foo.bar.0"
inputs[key] = {"node": src["node_id"], "output": src.get("output_name", "result")}
self.add_edge(str(src["node_id"]), target_node_id,
source_handle_io=src.get("output_name", "result"),
target_handle_io=key)
return placeholder
return {k: walk(v, path + [k]) for k, v in node.items()}
if isinstance(node, list):
return [walk(v, path + [str(i)]) for i, v in enumerate(node)]
return node
replaced = walk(obj, base_path[:])
return replaced, has_var
def add_workflow_node(self,
node_id: int,
*,
device_key: Optional[str] = None, # 实例名,如 "ser"
resource_name: Optional[str] = None, # registry key原 device_class
module: Optional[str] = None,
template_name: Optional[str] = None, # 动作/模板名(原 action_key
params: Dict[str, Any],
variable_sources: Dict[str, Dict[str, Any]],
add_ready_if_no_vars: bool = True,
prev_node_id: Optional[int] = None,
**extra_attrs) -> None:
"""添加工作流节点params 单层;自动变量连线与 ready 串联;支持附加属性"""
node_id_str = str(node_id)
inputs: Dict[str, Any] = {}
params, has_var = self._materialize_wiring_into_inputs(
params, inputs, variable_sources, node_id_str, base_path=["params"]
)
if add_ready_if_no_vars and not has_var:
last_id = str(prev_node_id) if prev_node_id is not None else "-1"
inputs["ready"] = {"node": int(last_id), "output": "ready"}
self.add_edge(last_id, node_id_str, source_handle_io="ready", target_handle_io="ready")
node_obj = {
"device_key": device_key,
"resource_name": resource_name, # ✅ 新名字
"module": module,
"template_name": template_name, # ✅ 新名字
"params": params,
"inputs": inputs,
}
node_obj.update(extra_attrs or {})
self.add_node(node_id_str, parameters=node_obj)
# 顺序工作流导出(连线在 inputs不返回 edges
def to_dict(self) -> List[Dict[str, Any]]:
result = []
for node_id, attrs in self.nodes.items():
node = {"id": node_id}
params = dict(attrs.get("parameters", {}) or {})
flat = {k: v for k, v in attrs.items() if k != "parameters"}
flat.update(params)
node.update(flat)
result.append(node)
return sorted(result, key=lambda n: int(n["id"]) if str(n["id"]).isdigit() else n["id"])
# node-link 导出(含 edges
def to_node_link_dict(self) -> Dict[str, Any]:
nodes_list = []
for node_id, attrs in self.nodes.items():
node_attrs = attrs.copy()
params = node_attrs.pop("parameters", {}) or {}
node_attrs.update(params)
nodes_list.append({"id": node_id, **node_attrs})
return {"directed": True, "multigraph": False, "graph": {}, "nodes": nodes_list, "edges": self.edges, "links": self.edges}
def refactor_data(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""统一的数据重构函数,根据操作类型自动选择模板"""
refactored_data = []
# 定义操作映射,包含生物实验和有机化学的所有操作
OPERATION_MAPPING = {
# 生物实验操作
"transfer_liquid": "transfer_liquid",
"transfer": "transfer",
"incubation": "incubation",
"move_labware": "move_labware",
"oscillation": "oscillation",
# 有机化学操作
"HeatChillToTemp": "HeatChillProtocol",
"StopHeatChill": "HeatChillStopProtocol",
"StartHeatChill": "HeatChillStartProtocol",
"HeatChill": "HeatChillProtocol",
"Dissolve": "DissolveProtocol",
"Transfer": "TransferProtocol",
"Evaporate": "EvaporateProtocol",
"Recrystallize": "RecrystallizeProtocol",
"Filter": "FilterProtocol",
"Dry": "DryProtocol",
"Add": "AddProtocol",
}
UNSUPPORTED_OPERATIONS = ["Purge", "Wait", "Stir", "ResetHandling"]
for step in data:
operation = step.get("action")
if not operation or operation in UNSUPPORTED_OPERATIONS:
continue
# 处理重复操作
if operation == "Repeat":
times = step.get("times", step.get("parameters", {}).get("times", 1))
sub_steps = step.get("steps", step.get("parameters", {}).get("steps", []))
for i in range(int(times)):
sub_data = refactor_data(sub_steps)
refactored_data.extend(sub_data)
continue
# 获取模板名称
template = OPERATION_MAPPING.get(operation)
if not template:
# 自动推断模板类型
if operation.lower() in ["transfer", "incubation", "move_labware", "oscillation"]:
template = f"biomek-{operation}"
else:
template = f"{operation}Protocol"
# 创建步骤数据
step_data = {
"template": template,
"description": step.get("description", step.get("purpose", f"{operation} operation")),
"lab_node_type": "Device",
"parameters": step.get("parameters", step.get("action_args", {})),
}
refactored_data.append(step_data)
return refactored_data
def build_protocol_graph(
labware_info: List[Dict[str, Any]], protocol_steps: List[Dict[str, Any]], workstation_name: str
) -> WorkflowGraph:
"""统一的协议图构建函数,根据设备类型自动选择构建逻辑"""
G = WorkflowGraph()
resource_last_writer = {}
protocol_steps = refactor_data(protocol_steps)
# 有机化学&移液站协议图构建
WORKSTATION_ID = workstation_name
# 为所有labware创建资源节点
for labware_id, item in labware_info.items():
# item_id = item.get("id") or item.get("name", f"item_{uuid.uuid4()}")
node_id = str(uuid.uuid4())
# 判断节点类型
if "Rack" in str(labware_id) or "Tip" in str(labware_id):
lab_node_type = "Labware"
description = f"Prepare Labware: {labware_id}"
liquid_type = []
liquid_volume = []
elif item.get("type") == "hardware" or "reactor" in str(labware_id).lower():
if "reactor" not in str(labware_id).lower():
continue
lab_node_type = "Sample"
description = f"Prepare Reactor: {labware_id}"
liquid_type = []
liquid_volume = []
else:
lab_node_type = "Reagent"
description = f"Add Reagent to Flask: {labware_id}"
liquid_type = [labware_id]
liquid_volume = [1e5]
G.add_node(
node_id,
template_name=f"create_resource",
resource_name="host_node",
description=description,
lab_node_type=lab_node_type,
params={
"res_id": labware_id,
"device_id": WORKSTATION_ID,
"class_name": "container",
"parent": WORKSTATION_ID,
"bind_locations": {"x": 0.0, "y": 0.0, "z": 0.0},
"liquid_input_slot": [-1],
"liquid_type": liquid_type,
"liquid_volume": liquid_volume,
"slot_on_deck": "",
},
role=item.get("role", ""),
)
resource_last_writer[labware_id] = f"{node_id}:labware"
last_control_node_id = None
# 处理协议步骤
for step in protocol_steps:
node_id = str(uuid.uuid4())
G.add_node(node_id, **step)
# 控制流
if last_control_node_id is not None:
G.add_edge(last_control_node_id, node_id, source_port="ready", target_port="ready")
last_control_node_id = node_id
# 物料流
params = step.get("parameters", {})
input_resources_possible_names = [
"vessel",
"to_vessel",
"from_vessel",
"reagent",
"solvent",
"compound",
"sources",
"targets",
]
for target_port in input_resources_possible_names:
resource_name = params.get(target_port)
if resource_name and resource_name in resource_last_writer:
source_node, source_port = resource_last_writer[resource_name].split(":")
G.add_edge(source_node, node_id, source_port=source_port, target_port=target_port)
output_resources = {
"vessel_out": params.get("vessel"),
"from_vessel_out": params.get("from_vessel"),
"to_vessel_out": params.get("to_vessel"),
"filtrate_out": params.get("filtrate_vessel"),
"reagent": params.get("reagent"),
"solvent": params.get("solvent"),
"compound": params.get("compound"),
"sources_out": params.get("sources"),
"targets_out": params.get("targets"),
}
for source_port, resource_name in output_resources.items():
if resource_name:
resource_last_writer[resource_name] = f"{node_id}:{source_port}"
return G
def draw_protocol_graph(protocol_graph: WorkflowGraph, output_path: str):
"""
(辅助功能) 使用 networkx 和 matplotlib 绘制协议工作流图,用于可视化。
"""
if not protocol_graph:
print("Cannot draw graph: Graph object is empty.")
return
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template", node_id[:8]))
G.add_node(node_id, label=label, **attrs)
for edge in protocol_graph.edges:
G.add_edge(edge["source"], edge["target"])
plt.figure(figsize=(20, 15))
try:
pos = nx.nx_agraph.graphviz_layout(G, prog="dot")
except Exception:
pos = nx.shell_layout(G) # Fallback layout
node_labels = {node: data["label"] for node, data in G.nodes(data=True)}
nx.draw(
G,
pos,
with_labels=False,
node_size=2500,
node_color="skyblue",
node_shape="o",
edge_color="gray",
width=1.5,
arrowsize=15,
)
nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=8, font_weight="bold")
plt.title("Chemical Protocol Workflow Graph", size=15)
plt.savefig(output_path, dpi=300, bbox_inches="tight")
plt.close()
print(f" - Visualization saved to '{output_path}'")
COMPASS = {"n","e","s","w","ne","nw","se","sw","c"}
def _is_compass(port: str) -> bool:
return isinstance(port, str) and port.lower() in COMPASS
def draw_protocol_graph_with_ports(protocol_graph, output_path: str, rankdir: str = "LR"):
"""
使用 Graphviz 端口语法绘制协议工作流图。
- 若边上的 source_port/target_port 是 compassn/e/s/w/...),直接用 compass。
- 否则自动为节点创建 record 形状并定义命名端口 <portname>。
最终由 PyGraphviz 渲染并输出到 output_path后缀决定格式如 .png/.svg/.pdf
"""
if not protocol_graph:
print("Cannot draw graph: Graph object is empty.")
return
# 1) 先用 networkx 搭建有向图,保留端口属性
G = nx.DiGraph()
for node_id, attrs in protocol_graph.nodes.items():
label = attrs.get("description", attrs.get("template", node_id[:8]))
# 保留一个干净的“中心标签”,用于放在 record 的中间槽
G.add_node(node_id, _core_label=str(label), **{k:v for k,v in attrs.items() if k not in ("label",)})
edges_data = []
in_ports_by_node = {} # 收集命名输入端口
out_ports_by_node = {} # 收集命名输出端口
for edge in protocol_graph.edges:
u = edge["source"]
v = edge["target"]
sp = edge.get("source_port")
tp = edge.get("target_port")
# 记录到图里(保留原始端口信息)
G.add_edge(u, v, source_port=sp, target_port=tp)
edges_data.append((u, v, sp, tp))
# 如果不是 compass就按“命名端口”先归类等会儿给节点造 record
if sp and not _is_compass(sp):
out_ports_by_node.setdefault(u, set()).add(str(sp))
if tp and not _is_compass(tp):
in_ports_by_node.setdefault(v, set()).add(str(tp))
# 2) 转为 AGraph使用 Graphviz 渲染
A = to_agraph(G)
A.graph_attr.update(rankdir=rankdir, splines="true", concentrate="false", fontsize="10")
A.node_attr.update(shape="box", style="rounded,filled", fillcolor="lightyellow", color="#999999", fontname="Helvetica")
A.edge_attr.update(arrowsize="0.8", color="#666666")
# 3) 为需要命名端口的节点设置 record 形状与 label
# 左列 = 输入端口;中间 = 核心标签;右列 = 输出端口
for n in A.nodes():
node = A.get_node(n)
core = G.nodes[n].get("_core_label", n)
in_ports = sorted(in_ports_by_node.get(n, []))
out_ports = sorted(out_ports_by_node.get(n, []))
# 如果该节点涉及命名端口,则用 record否则保留原 box
if in_ports or out_ports:
def port_fields(ports):
if not ports:
return " " # 必须留一个空槽占位
# 每个端口一个小格子,<p> name
return "|".join(f"<{re.sub(r'[^A-Za-z0-9_:.|-]', '_', p)}> {p}" for p in ports)
left = port_fields(in_ports)
right = port_fields(out_ports)
# 三栏:左(入) | 中(节点名) | 右(出)
record_label = f"{{ {left} | {core} | {right} }}"
node.attr.update(shape="record", label=record_label)
else:
# 没有命名端口:普通盒子,显示核心标签
node.attr.update(label=str(core))
# 4) 给边设置 headport / tailport
# - 若端口为 compass直接用 compasse.g., headport="e"
# - 若端口为命名端口:使用在 record 中定义的 <port> 名(同名即可)
for (u, v, sp, tp) in edges_data:
e = A.get_edge(u, v)
# Graphviz 属性tail 是源head 是目标
if sp:
if _is_compass(sp):
e.attr["tailport"] = sp.lower()
else:
# 与 record label 中 <port> 名一致;特殊字符已在 label 中做了清洗
e.attr["tailport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(sp))
if tp:
if _is_compass(tp):
e.attr["headport"] = tp.lower()
else:
e.attr["headport"] = re.sub(r'[^A-Za-z0-9_:.|-]', '_', str(tp))
# 可选:若想让边更贴边缘,可设置 constraint/spline 等
# e.attr["arrowhead"] = "vee"
# 5) 输出
A.draw(output_path, prog="dot")
print(f" - Port-aware workflow rendered to '{output_path}'")
# ---------------- Registry Adapter ----------------
class RegistryAdapter:
"""根据 module 的类名(冒号右侧)反查 registry 的 resource_name原 device_class并抽取参数顺序"""
def __init__(self, device_registry: Dict[str, Any]):
self.device_registry = device_registry or {}
self.module_class_to_resource = self._build_module_class_index()
def _build_module_class_index(self) -> Dict[str, str]:
idx = {}
for resource_name, info in self.device_registry.items():
module = info.get("module")
if isinstance(module, str) and ":" in module:
cls = module.split(":")[-1]
idx[cls] = resource_name
idx[cls.lower()] = resource_name
return idx
def resolve_resource_by_classname(self, class_name: str) -> Optional[str]:
if not class_name:
return None
return (self.module_class_to_resource.get(class_name)
or self.module_class_to_resource.get(class_name.lower()))
def get_device_module(self, resource_name: Optional[str]) -> Optional[str]:
if not resource_name:
return None
return self.device_registry.get(resource_name, {}).get("module")
def get_actions(self, resource_name: Optional[str]) -> Dict[str, Any]:
if not resource_name:
return {}
return (self.device_registry.get(resource_name, {})
.get("class", {})
.get("action_value_mappings", {})) or {}
def get_action_schema(self, resource_name: Optional[str], template_name: str) -> Optional[Json]:
return (self.get_actions(resource_name).get(template_name) or {}).get("schema")
def get_action_goal_default(self, resource_name: Optional[str], template_name: str) -> Json:
return (self.get_actions(resource_name).get(template_name) or {}).get("goal_default", {}) or {}
def get_action_input_keys(self, resource_name: Optional[str], template_name: str) -> List[str]:
schema = self.get_action_schema(resource_name, template_name) or {}
goal = (schema.get("properties") or {}).get("goal") or {}
props = goal.get("properties") or {}
required = goal.get("required") or []
return list(dict.fromkeys(required + list(props.keys())))

View File

@@ -0,0 +1,24 @@
import json
from os import PathLike
from unilabos.workflow.common import build_protocol_graph
def from_labwares_and_steps(data_path: PathLike):
with data_path.open("r", encoding="utf-8") as fp:
d = json.load(fp)
if "workflow" in d and "reagent" in d:
protocol_steps = d["workflow"]
labware_info = d["reagent"]
elif "steps_info" in d and "labware_info" in d:
protocol_steps = _normalize_steps(d["steps_info"])
labware_info = _normalize_labware(d["labware_info"])
else:
raise ValueError("Unsupported protocol format")
graph = build_protocol_graph(
labware_info=labware_info,
protocol_steps=protocol_steps,
workstation_name="PRCXi",
)

View File

@@ -0,0 +1,241 @@
import ast
import json
from typing import Dict, List, Any, Tuple, Optional
from .common import WorkflowGraph, RegistryAdapter
Json = Dict[str, Any]
# ---------------- Converter ----------------
class DeviceMethodConverter:
"""
- 字段统一resource_name原 device_class、template_name原 action_key
- params 单层inputs 使用 'params.' 前缀
- SimpleGraph.add_workflow_node 负责变量连线与边
"""
def __init__(self, device_registry: Optional[Dict[str, Any]] = None):
self.graph = WorkflowGraph()
self.variable_sources: Dict[str, Dict[str, Any]] = {} # var -> {node_id, output_name}
self.instance_to_resource: Dict[str, Optional[str]] = {} # 实例名 -> resource_name
self.node_id_counter: int = 0
self.registry = RegistryAdapter(device_registry or {})
# ---- helpers ----
def _new_node_id(self) -> int:
nid = self.node_id_counter
self.node_id_counter += 1
return nid
def _assign_targets(self, targets) -> List[str]:
names: List[str] = []
import ast
if isinstance(targets, ast.Tuple):
for elt in targets.elts:
if isinstance(elt, ast.Name):
names.append(elt.id)
elif isinstance(targets, ast.Name):
names.append(targets.id)
return names
def _extract_device_instantiation(self, node) -> Optional[Tuple[str, str]]:
import ast
if not isinstance(node.value, ast.Call):
return None
callee = node.value.func
if isinstance(callee, ast.Name):
class_name = callee.id
elif isinstance(callee, ast.Attribute) and isinstance(callee.value, ast.Name):
class_name = callee.attr
else:
return None
if isinstance(node.targets[0], ast.Name):
instance = node.targets[0].id
return instance, class_name
return None
def _extract_call(self, call) -> Tuple[str, str, Dict[str, Any], str]:
import ast
owner_name, method_name, call_kind = "", "", "func"
if isinstance(call.func, ast.Attribute):
method_name = call.func.attr
if isinstance(call.func.value, ast.Name):
owner_name = call.func.value.id
call_kind = "instance" if owner_name in self.instance_to_resource else "class_or_module"
elif isinstance(call.func.value, ast.Attribute) and isinstance(call.func.value.value, ast.Name):
owner_name = call.func.value.attr
call_kind = "class_or_module"
elif isinstance(call.func, ast.Name):
method_name = call.func.id
call_kind = "func"
def pack(node):
if isinstance(node, ast.Name):
return {"type": "variable", "value": node.id}
if isinstance(node, ast.Constant):
return {"type": "constant", "value": node.value}
if isinstance(node, ast.Dict):
return {"type": "dict", "value": self._parse_dict(node)}
if isinstance(node, ast.List):
return {"type": "list", "value": self._parse_list(node)}
return {"type": "raw", "value": ast.unparse(node) if hasattr(ast, "unparse") else str(node)}
args: Dict[str, Any] = {}
pos: List[Any] = []
for a in call.args:
pos.append(pack(a))
for kw in call.keywords:
args[kw.arg] = pack(kw.value)
if pos:
args["_positional"] = pos
return owner_name, method_name, args, call_kind
def _parse_dict(self, node) -> Dict[str, Any]:
import ast
out: Dict[str, Any] = {}
for k, v in zip(node.keys, node.values):
if isinstance(k, ast.Constant):
key = str(k.value)
if isinstance(v, ast.Name):
out[key] = f"var:{v.id}"
elif isinstance(v, ast.Constant):
out[key] = v.value
elif isinstance(v, ast.Dict):
out[key] = self._parse_dict(v)
elif isinstance(v, ast.List):
out[key] = self._parse_list(v)
return out
def _parse_list(self, node) -> List[Any]:
import ast
out: List[Any] = []
for elt in node.elts:
if isinstance(elt, ast.Name):
out.append(f"var:{elt.id}")
elif isinstance(elt, ast.Constant):
out.append(elt.value)
elif isinstance(elt, ast.Dict):
out.append(self._parse_dict(elt))
elif isinstance(elt, ast.List):
out.append(self._parse_list(elt))
return out
def _normalize_var_tokens(self, x: Any) -> Any:
if isinstance(x, str) and x.startswith("var:"):
return {"__var__": x[4:]}
if isinstance(x, list):
return [self._normalize_var_tokens(i) for i in x]
if isinstance(x, dict):
return {k: self._normalize_var_tokens(v) for k, v in x.items()}
return x
def _make_params_payload(self, resource_name: Optional[str], template_name: str, call_args: Dict[str, Any]) -> Dict[str, Any]:
input_keys = self.registry.get_action_input_keys(resource_name, template_name) if resource_name else []
defaults = self.registry.get_action_goal_default(resource_name, template_name) if resource_name else {}
params: Dict[str, Any] = dict(defaults)
def unpack(p):
t, v = p.get("type"), p.get("value")
if t == "variable":
return {"__var__": v}
if t == "dict":
return self._normalize_var_tokens(v)
if t == "list":
return self._normalize_var_tokens(v)
return v
for k, p in call_args.items():
if k == "_positional":
continue
params[k] = unpack(p)
pos = call_args.get("_positional", [])
if pos:
if input_keys:
for i, p in enumerate(pos):
if i >= len(input_keys):
break
name = input_keys[i]
if name in params:
continue
params[name] = unpack(p)
else:
for i, p in enumerate(pos):
params[f"arg_{i}"] = unpack(p)
return params
# ---- handlers ----
def _on_assign(self, stmt):
import ast
inst = self._extract_device_instantiation(stmt)
if inst:
instance, code_class = inst
resource_name = self.registry.resolve_resource_by_classname(code_class)
self.instance_to_resource[instance] = resource_name
return
if isinstance(stmt.value, ast.Call):
owner, method, call_args, kind = self._extract_call(stmt.value)
if kind == "instance":
device_key = owner
resource_name = self.instance_to_resource.get(owner)
else:
device_key = owner
resource_name = self.registry.resolve_resource_by_classname(owner)
module = self.registry.get_device_module(resource_name)
params = self._make_params_payload(resource_name, method, call_args)
nid = self._new_node_id()
self.graph.add_workflow_node(
nid,
device_key=device_key,
resource_name=resource_name, # ✅
module=module,
template_name=method, # ✅
params=params,
variable_sources=self.variable_sources,
add_ready_if_no_vars=True,
prev_node_id=(nid - 1) if nid > 0 else None,
)
out_vars = self._assign_targets(stmt.targets[0])
for var in out_vars:
self.variable_sources[var] = {"node_id": nid, "output_name": "result"}
def _on_expr(self, stmt):
import ast
if not isinstance(stmt.value, ast.Call):
return
owner, method, call_args, kind = self._extract_call(stmt.value)
if kind == "instance":
device_key = owner
resource_name = self.instance_to_resource.get(owner)
else:
device_key = owner
resource_name = self.registry.resolve_resource_by_classname(owner)
module = self.registry.get_device_module(resource_name)
params = self._make_params_payload(resource_name, method, call_args)
nid = self._new_node_id()
self.graph.add_workflow_node(
nid,
device_key=device_key,
resource_name=resource_name, # ✅
module=module,
template_name=method, # ✅
params=params,
variable_sources=self.variable_sources,
add_ready_if_no_vars=True,
prev_node_id=(nid - 1) if nid > 0 else None,
)
def convert(self, python_code: str):
tree = ast.parse(python_code)
for stmt in tree.body:
if isinstance(stmt, ast.Assign):
self._on_assign(stmt)
elif isinstance(stmt, ast.Expr):
self._on_expr(stmt)
return self

View File

@@ -0,0 +1,131 @@
from typing import List, Any, Dict
import xml.etree.ElementTree as ET
def convert_to_type(val: str) -> Any:
"""将字符串值转换为适当的数据类型"""
if val == "True":
return True
if val == "False":
return False
if val == "?":
return None
if val.endswith(" g"):
return float(val.split(" ")[0])
if val.endswith("mg"):
return float(val.split("mg")[0])
elif val.endswith("mmol"):
return float(val.split("mmol")[0]) / 1000
elif val.endswith("mol"):
return float(val.split("mol")[0])
elif val.endswith("ml"):
return float(val.split("ml")[0])
elif val.endswith("RPM"):
return float(val.split("RPM")[0])
elif val.endswith(" °C"):
return float(val.split(" ")[0])
elif val.endswith(" %"):
return float(val.split(" ")[0])
return val
def flatten_xdl_procedure(procedure_elem: ET.Element) -> List[ET.Element]:
"""展平嵌套的XDL程序结构"""
flattened_operations = []
TEMP_UNSUPPORTED_PROTOCOL = ["Purge", "Wait", "Stir", "ResetHandling"]
def extract_operations(element: ET.Element):
if element.tag not in ["Prep", "Reaction", "Workup", "Purification", "Procedure"]:
if element.tag not in TEMP_UNSUPPORTED_PROTOCOL:
flattened_operations.append(element)
for child in element:
extract_operations(child)
for child in procedure_elem:
extract_operations(child)
return flattened_operations
def parse_xdl_content(xdl_content: str) -> tuple:
"""解析XDL内容"""
try:
xdl_content_cleaned = "".join(c for c in xdl_content if c.isprintable())
root = ET.fromstring(xdl_content_cleaned)
synthesis_elem = root.find("Synthesis")
if synthesis_elem is None:
return None, None, None
# 解析硬件组件
hardware_elem = synthesis_elem.find("Hardware")
hardware = []
if hardware_elem is not None:
hardware = [{"id": c.get("id"), "type": c.get("type")} for c in hardware_elem.findall("Component")]
# 解析试剂
reagents_elem = synthesis_elem.find("Reagents")
reagents = []
if reagents_elem is not None:
reagents = [{"name": r.get("name"), "role": r.get("role", "")} for r in reagents_elem.findall("Reagent")]
# 解析程序
procedure_elem = synthesis_elem.find("Procedure")
if procedure_elem is None:
return None, None, None
flattened_operations = flatten_xdl_procedure(procedure_elem)
return hardware, reagents, flattened_operations
except ET.ParseError as e:
raise ValueError(f"Invalid XDL format: {e}")
def convert_xdl_to_dict(xdl_content: str) -> Dict[str, Any]:
"""
将XDL XML格式转换为标准的字典格式
Args:
xdl_content: XDL XML内容
Returns:
转换结果,包含步骤和器材信息
"""
try:
hardware, reagents, flattened_operations = parse_xdl_content(xdl_content)
if hardware is None:
return {"error": "Failed to parse XDL content", "success": False}
# 将XDL元素转换为字典格式
steps_data = []
for elem in flattened_operations:
# 转换参数类型
parameters = {}
for key, val in elem.attrib.items():
converted_val = convert_to_type(val)
if converted_val is not None:
parameters[key] = converted_val
step_dict = {
"operation": elem.tag,
"parameters": parameters,
"description": elem.get("purpose", f"Operation: {elem.tag}"),
}
steps_data.append(step_dict)
# 合并硬件和试剂为统一的labware_info格式
labware_data = []
labware_data.extend({"id": hw["id"], "type": "hardware", **hw} for hw in hardware)
labware_data.extend({"name": reagent["name"], "type": "reagent", **reagent} for reagent in reagents)
return {
"success": True,
"steps": steps_data,
"labware": labware_data,
"message": f"Successfully converted XDL to dict format. Found {len(steps_data)} steps and {len(labware_data)} labware items.",
}
except Exception as e:
error_msg = f"XDL conversion failed: {str(e)}"
return {"error": error_msg, "success": False}

View File

@@ -2,7 +2,7 @@
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?> <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
<package format="3"> <package format="3">
<name>unilabos_msgs</name> <name>unilabos_msgs</name>
<version>0.10.11</version> <version>0.10.12</version>
<description>ROS2 Messages package for unilabos devices</description> <description>ROS2 Messages package for unilabos devices</description>
<maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer> <maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer>
<maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer> <maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer>