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workflow_u
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9aeffebde1 |
@@ -1,6 +1,6 @@
|
||||
package:
|
||||
name: unilabos
|
||||
version: 0.10.12
|
||||
version: 0.10.11
|
||||
|
||||
source:
|
||||
path: ../unilabos
|
||||
|
||||
BIN
docs/logo.png
BIN
docs/logo.png
Binary file not shown.
|
Before Width: | Height: | Size: 262 KiB After Width: | Height: | Size: 326 KiB |
@@ -1,6 +1,6 @@
|
||||
package:
|
||||
name: ros-humble-unilabos-msgs
|
||||
version: 0.10.12
|
||||
version: 0.10.11
|
||||
source:
|
||||
path: ../../unilabos_msgs
|
||||
target_directory: src
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
package:
|
||||
name: unilabos
|
||||
version: "0.10.12"
|
||||
version: "0.10.11"
|
||||
|
||||
source:
|
||||
path: ../..
|
||||
|
||||
@@ -2,6 +2,7 @@ import json
|
||||
import logging
|
||||
import traceback
|
||||
import uuid
|
||||
import xml.etree.ElementTree as ET
|
||||
from typing import Any, Dict, List
|
||||
|
||||
import networkx as nx
|
||||
@@ -24,15 +25,7 @@ class SimpleGraph:
|
||||
|
||||
def add_edge(self, source, target, **attrs):
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||||
"""添加边"""
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||||
# 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
|
||||
}
|
||||
edge = {"source": source, "target": target, **attrs}
|
||||
self.edges.append(edge)
|
||||
|
||||
def to_dict(self):
|
||||
@@ -49,7 +42,6 @@ class SimpleGraph:
|
||||
"multigraph": False,
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||||
"graph": {},
|
||||
"nodes": nodes_list,
|
||||
"edges": self.edges,
|
||||
"links": self.edges,
|
||||
}
|
||||
|
||||
@@ -66,8 +58,495 @@ def extract_json_from_markdown(text: str) -> str:
|
||||
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
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||||
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]]:
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||||
"""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
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||||
OPERATION_MAPPING = {
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||||
# 生物实验操作
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||||
"transfer_liquid": "SynBioFactory-liquid_handler.prcxi-transfer_liquid",
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"transfer": "SynBioFactory-liquid_handler.biomek-transfer",
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||||
"incubation": "SynBioFactory-liquid_handler.biomek-incubation",
|
||||
"move_labware": "SynBioFactory-liquid_handler.biomek-move_labware",
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||||
"oscillation": "SynBioFactory-liquid_handler.biomek-oscillation",
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# 有机化学操作
|
||||
"HeatChillToTemp": "SynBioFactory-workstation-HeatChillProtocol",
|
||||
"StopHeatChill": "SynBioFactory-workstation-HeatChillStopProtocol",
|
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"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 compass(n/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 compass(e.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(
|
||||
|
||||
2
setup.py
2
setup.py
@@ -4,7 +4,7 @@ package_name = 'unilabos'
|
||||
|
||||
setup(
|
||||
name=package_name,
|
||||
version='0.10.12',
|
||||
version='0.10.11',
|
||||
packages=find_packages(),
|
||||
include_package_data=True,
|
||||
install_requires=['setuptools'],
|
||||
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.10.12"
|
||||
__version__ = "0.10.11"
|
||||
|
||||
@@ -141,7 +141,7 @@ class CommunicationClientFactory:
|
||||
"""
|
||||
if cls._client_cache is None:
|
||||
cls._client_cache = cls.create_client(protocol)
|
||||
logger.trace(f"[CommunicationFactory] Created {type(cls._client_cache).__name__} client")
|
||||
logger.info(f"[CommunicationFactory] Created {type(cls._client_cache).__name__} client")
|
||||
|
||||
return cls._client_cache
|
||||
|
||||
|
||||
@@ -49,8 +49,6 @@ def convert_argv_dashes_to_underscores(args: argparse.ArgumentParser):
|
||||
def parse_args():
|
||||
"""解析命令行参数"""
|
||||
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("-c", "--controllers", default=None, help="Controllers config file path.")
|
||||
parser.add_argument(
|
||||
@@ -155,14 +153,6 @@ def parse_args():
|
||||
default=False,
|
||||
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
|
||||
|
||||
|
||||
@@ -173,9 +163,6 @@ def main():
|
||||
convert_argv_dashes_to_underscores(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)
|
||||
if not args_dict.get("skip_env_check", False):
|
||||
from unilabos.utils.environment_check import check_environment
|
||||
@@ -231,7 +218,7 @@ def main():
|
||||
|
||||
if hasattr(BasicConfig, "log_level"):
|
||||
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)
|
||||
|
||||
if args_dict["addr"] == "test":
|
||||
print_status("使用测试环境地址", "info")
|
||||
@@ -252,18 +239,7 @@ def main():
|
||||
if 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")
|
||||
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
|
||||
if args_dict["use_remote_resource"]:
|
||||
print_status("使用远程资源启动", "info")
|
||||
@@ -278,6 +254,7 @@ def launch(args_dict: Dict[str, Any]):
|
||||
|
||||
BasicConfig.port = args_dict["port"] if args_dict["port"] else BasicConfig.port
|
||||
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.slave_no_host = args_dict.get("slave_no_host", False)
|
||||
BasicConfig.upload_registry = args_dict.get("upload_registry", False)
|
||||
@@ -301,6 +278,9 @@ def launch(args_dict: Dict[str, Any]):
|
||||
from unilabos.resources.graphio import modify_to_backend_format
|
||||
from unilabos.ros.nodes.resource_tracker import ResourceTreeSet, ResourceDict
|
||||
|
||||
# 显示启动横幅
|
||||
print_unilab_banner(args_dict)
|
||||
|
||||
# 注册表
|
||||
lab_registry = build_registry(
|
||||
args_dict["registry_path"], args_dict.get("complete_registry", False), args_dict["upload_registry"]
|
||||
|
||||
@@ -34,14 +34,14 @@ def _get_oss_token(
|
||||
client = http_client
|
||||
|
||||
# 构造scene参数: driver_name-exp_type
|
||||
sub_path = f"{driver_name}-{exp_type}"
|
||||
scene = f"{driver_name}-{exp_type}"
|
||||
|
||||
# 构造请求URL,使用client的remote_addr(已包含/api/v1/)
|
||||
url = f"{client.remote_addr}/applications/token"
|
||||
params = {"sub_path": sub_path, "filename": filename, "scene": "job"}
|
||||
params = {"scene": scene, "filename": filename}
|
||||
|
||||
try:
|
||||
logger.info(f"[OSS] 请求预签名URL: sub_path={sub_path}, filename={filename}")
|
||||
logger.info(f"[OSS] 请求预签名URL: scene={scene}, filename={filename}")
|
||||
response = requests.get(url, params=params, headers={"Authorization": f"Lab {client.auth}"}, timeout=10)
|
||||
|
||||
if response.status_code == 200:
|
||||
|
||||
@@ -389,7 +389,7 @@ class MessageProcessor:
|
||||
self.is_running = True
|
||||
self.thread = threading.Thread(target=self._run, daemon=True, name="MessageProcessor")
|
||||
self.thread.start()
|
||||
logger.trace("[MessageProcessor] Started")
|
||||
logger.info("[MessageProcessor] Started")
|
||||
|
||||
def stop(self) -> None:
|
||||
"""停止消息处理线程"""
|
||||
@@ -939,7 +939,7 @@ class QueueProcessor:
|
||||
# 事件通知机制
|
||||
self.queue_update_event = threading.Event()
|
||||
|
||||
logger.trace("[QueueProcessor] Initialized")
|
||||
logger.info("[QueueProcessor] Initialized")
|
||||
|
||||
def set_websocket_client(self, websocket_client: "WebSocketClient"):
|
||||
"""设置WebSocket客户端引用"""
|
||||
@@ -954,7 +954,7 @@ class QueueProcessor:
|
||||
self.is_running = True
|
||||
self.thread = threading.Thread(target=self._run, daemon=True, name="QueueProcessor")
|
||||
self.thread.start()
|
||||
logger.trace("[QueueProcessor] Started")
|
||||
logger.info("[QueueProcessor] Started")
|
||||
|
||||
def stop(self) -> None:
|
||||
"""停止队列处理线程"""
|
||||
@@ -1314,19 +1314,3 @@ class WebSocketClient(BaseCommunicationClient):
|
||||
logger.info(f"[WebSocketClient] Job {job_log} cancelled successfully")
|
||||
else:
|
||||
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")
|
||||
|
||||
@@ -147,9 +147,6 @@ class LiquidHandlerMiddleware(LiquidHandler):
|
||||
offsets: Optional[List[Coordinate]] = None,
|
||||
**backend_kwargs,
|
||||
):
|
||||
# 如果 use_channels 为 None,使用默认值(所有通道)
|
||||
if use_channels is None:
|
||||
use_channels = list(range(self.channel_num))
|
||||
if not offsets or (isinstance(offsets, list) and len(offsets) != len(use_channels)):
|
||||
offsets = [Coordinate.zero()] * len(use_channels)
|
||||
if self._simulator:
|
||||
@@ -762,7 +759,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
blow_out_air_volume=current_dis_blow_out_air_volume,
|
||||
spread=spread,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
await self.touch_tip(current_targets)
|
||||
await self.discard_tips()
|
||||
@@ -836,19 +833,17 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None and len(delays) > 1:
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
# 只有在 mix_time 有效时才调用 mix
|
||||
if mix_time is not None and mix_time > 0:
|
||||
await self.mix(
|
||||
targets=[targets[_]],
|
||||
mix_time=mix_time,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.mix(
|
||||
targets=[targets[_]],
|
||||
mix_time=mix_time,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
await self.touch_tip(targets[_])
|
||||
await self.discard_tips()
|
||||
@@ -898,20 +893,18 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
blow_out_air_volume=current_dis_blow_out_air_volume,
|
||||
spread=spread,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
|
||||
# 只有在 mix_time 有效时才调用 mix
|
||||
if mix_time is not None and mix_time > 0:
|
||||
await self.mix(
|
||||
targets=current_targets,
|
||||
mix_time=mix_time,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.mix(
|
||||
targets=current_targets,
|
||||
mix_time=mix_time,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
await self.touch_tip(current_targets)
|
||||
await self.discard_tips()
|
||||
@@ -949,146 +942,60 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
delays: Optional[List[int]] = None,
|
||||
none_keys: List[str] = [],
|
||||
):
|
||||
"""Transfer liquid with automatic mode detection.
|
||||
|
||||
Supports three transfer modes:
|
||||
1. One-to-many (1 source -> N targets): Distribute from one source to multiple targets
|
||||
2. One-to-one (N sources -> N targets): Standard transfer, each source to corresponding target
|
||||
3. Many-to-one (N sources -> 1 target): Combine multiple sources into one target
|
||||
"""Transfer liquid from each *source* well/plate to the corresponding *target*.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
asp_vols, dis_vols
|
||||
Single volume (µL) or list. Automatically expanded based on transfer mode.
|
||||
Single volume (µL) or list matching the number of transfers.
|
||||
sources, targets
|
||||
Containers (wells or plates). Length determines transfer mode:
|
||||
- len(sources) == 1, len(targets) > 1: One-to-many mode
|
||||
- len(sources) == len(targets): One-to-one mode
|
||||
- len(sources) > 1, len(targets) == 1: Many-to-one mode
|
||||
Same‑length sequences of containers (wells or plates). In 96‑well mode
|
||||
each must contain exactly one plate.
|
||||
tip_racks
|
||||
One or more TipRacks providing fresh tips.
|
||||
is_96_well
|
||||
Set *True* to use the 96‑channel head.
|
||||
"""
|
||||
|
||||
# 确保 use_channels 有默认值
|
||||
if use_channels is None:
|
||||
use_channels = [0] if self.channel_num >= 1 else list(range(self.channel_num))
|
||||
|
||||
|
||||
|
||||
if is_96_well:
|
||||
pass # This mode is not verified.
|
||||
else:
|
||||
# 转换体积参数为列表
|
||||
if isinstance(asp_vols, (int, float)):
|
||||
asp_vols = [float(asp_vols)]
|
||||
else:
|
||||
asp_vols = [float(v) for v in asp_vols]
|
||||
|
||||
if isinstance(dis_vols, (int, float)):
|
||||
dis_vols = [float(dis_vols)]
|
||||
else:
|
||||
dis_vols = [float(v) for v in dis_vols]
|
||||
|
||||
# 识别传输模式
|
||||
num_sources = len(sources)
|
||||
num_targets = len(targets)
|
||||
|
||||
if num_sources == 1 and num_targets > 1:
|
||||
# 模式1: 一对多 (1 source -> N targets)
|
||||
await self._transfer_one_to_many(
|
||||
sources[0], targets, tip_racks, use_channels,
|
||||
asp_vols, dis_vols, asp_flow_rates, dis_flow_rates,
|
||||
offsets, touch_tip, liquid_height, blow_out_air_volume,
|
||||
spread, mix_stage, mix_times, mix_vol, mix_rate,
|
||||
mix_liquid_height, delays
|
||||
)
|
||||
elif num_sources > 1 and num_targets == 1:
|
||||
# 模式2: 多对一 (N sources -> 1 target)
|
||||
await self._transfer_many_to_one(
|
||||
sources, targets[0], tip_racks, use_channels,
|
||||
asp_vols, dis_vols, asp_flow_rates, dis_flow_rates,
|
||||
offsets, touch_tip, liquid_height, blow_out_air_volume,
|
||||
spread, mix_stage, mix_times, mix_vol, mix_rate,
|
||||
mix_liquid_height, delays
|
||||
)
|
||||
elif num_sources == num_targets:
|
||||
# 模式3: 一对一 (N sources -> N targets) - 原有逻辑
|
||||
await self._transfer_one_to_one(
|
||||
sources, targets, tip_racks, use_channels,
|
||||
asp_vols, dis_vols, asp_flow_rates, dis_flow_rates,
|
||||
offsets, touch_tip, liquid_height, blow_out_air_volume,
|
||||
spread, mix_stage, mix_times, mix_vol, mix_rate,
|
||||
mix_liquid_height, delays
|
||||
)
|
||||
else:
|
||||
raise ValueError(
|
||||
f"Unsupported transfer mode: {num_sources} sources -> {num_targets} targets. "
|
||||
"Supported modes: 1->N, N->1, or N->N."
|
||||
)
|
||||
if len(asp_vols) != len(targets):
|
||||
raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `targets` {len(targets)}.")
|
||||
|
||||
async def _transfer_one_to_one(
|
||||
self,
|
||||
sources: Sequence[Container],
|
||||
targets: Sequence[Container],
|
||||
tip_racks: Sequence[TipRack],
|
||||
use_channels: List[int],
|
||||
asp_vols: List[float],
|
||||
dis_vols: List[float],
|
||||
asp_flow_rates: Optional[List[Optional[float]]],
|
||||
dis_flow_rates: Optional[List[Optional[float]]],
|
||||
offsets: Optional[List[Coordinate]],
|
||||
touch_tip: bool,
|
||||
liquid_height: Optional[List[Optional[float]]],
|
||||
blow_out_air_volume: Optional[List[Optional[float]]],
|
||||
spread: Literal["wide", "tight", "custom"],
|
||||
mix_stage: Optional[Literal["none", "before", "after", "both"]],
|
||||
mix_times: Optional[int],
|
||||
mix_vol: Optional[int],
|
||||
mix_rate: Optional[int],
|
||||
mix_liquid_height: Optional[float],
|
||||
delays: Optional[List[int]],
|
||||
):
|
||||
"""一对一传输模式:N sources -> N targets"""
|
||||
# 验证参数长度
|
||||
if len(asp_vols) != len(targets):
|
||||
raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `targets` {len(targets)}.")
|
||||
if len(dis_vols) != len(targets):
|
||||
raise ValueError(f"Length of `dis_vols` {len(dis_vols)} must match `targets` {len(targets)}.")
|
||||
if len(sources) != len(targets):
|
||||
raise ValueError(f"Length of `sources` {len(sources)} must match `targets` {len(targets)}.")
|
||||
# 首先应该对任务分组,然后每次1个/8个进行操作处理
|
||||
if len(use_channels) == 1:
|
||||
for _ in range(len(targets)):
|
||||
tip = []
|
||||
for ___ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
|
||||
if len(use_channels) == 1:
|
||||
for _ in range(len(targets)):
|
||||
tip = []
|
||||
for ___ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
|
||||
await self.aspirate(
|
||||
resources=[sources[_]],
|
||||
vols=[asp_vols[_]],
|
||||
use_channels=use_channels,
|
||||
flow_rates=[asp_flow_rates[_]] if asp_flow_rates and len(asp_flow_rates) > _ else None,
|
||||
offsets=[offsets[_]] if offsets and len(offsets) > _ else None,
|
||||
liquid_height=[liquid_height[_]] if liquid_height and len(liquid_height) > _ else None,
|
||||
blow_out_air_volume=[blow_out_air_volume[_]] if blow_out_air_volume and len(blow_out_air_volume) > _ else None,
|
||||
spread=spread,
|
||||
)
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[0])
|
||||
await self.dispense(
|
||||
resources=[targets[_]],
|
||||
vols=[dis_vols[_]],
|
||||
use_channels=use_channels,
|
||||
flow_rates=[dis_flow_rates[_]] if dis_flow_rates and len(dis_flow_rates) > _ else None,
|
||||
offsets=[offsets[_]] if offsets and len(offsets) > _ else None,
|
||||
blow_out_air_volume=[blow_out_air_volume[_]] if blow_out_air_volume and len(blow_out_air_volume) > _ else None,
|
||||
liquid_height=[liquid_height[_]] if liquid_height and len(liquid_height) > _ else None,
|
||||
spread=spread,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
|
||||
await self.aspirate(
|
||||
resources=[sources[_]],
|
||||
vols=[asp_vols[_]],
|
||||
use_channels=use_channels,
|
||||
flow_rates=[asp_flow_rates[0]] if asp_flow_rates else None,
|
||||
offsets=[offsets[0]] if offsets else None,
|
||||
liquid_height=[liquid_height[0]] if liquid_height else None,
|
||||
blow_out_air_volume=[blow_out_air_volume[0]] if blow_out_air_volume else None,
|
||||
spread=spread,
|
||||
)
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[0])
|
||||
await self.dispense(
|
||||
resources=[targets[_]],
|
||||
vols=[dis_vols[_]],
|
||||
use_channels=use_channels,
|
||||
flow_rates=[dis_flow_rates[1]] if dis_flow_rates else None,
|
||||
offsets=[offsets[1]] if offsets else None,
|
||||
blow_out_air_volume=[blow_out_air_volume[1]] if blow_out_air_volume else None,
|
||||
liquid_height=[liquid_height[1]] if liquid_height else None,
|
||||
spread=spread,
|
||||
)
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
await self.mix(
|
||||
targets=[targets[_]],
|
||||
mix_time=mix_times,
|
||||
@@ -1097,425 +1004,75 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
await self.touch_tip(targets[_])
|
||||
await self.discard_tips(use_channels=use_channels)
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
await self.touch_tip(targets[_])
|
||||
await self.discard_tips()
|
||||
|
||||
elif len(use_channels) == 8:
|
||||
if len(targets) % 8 != 0:
|
||||
raise ValueError(f"Length of `targets` {len(targets)} must be a multiple of 8 for 8-channel mode.")
|
||||
elif len(use_channels) == 8:
|
||||
# 对于8个的情况,需要判断此时任务是不是能被8通道移液站来成功处理
|
||||
if len(targets) % 8 != 0:
|
||||
raise ValueError(f"Length of `targets` {len(targets)} must be a multiple of 8 for 8-channel mode.")
|
||||
|
||||
for i in range(0, len(targets), 8):
|
||||
tip = []
|
||||
for _ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
current_targets = targets[i:i + 8]
|
||||
current_reagent_sources = sources[i:i + 8]
|
||||
current_asp_vols = asp_vols[i:i + 8]
|
||||
current_dis_vols = dis_vols[i:i + 8]
|
||||
current_asp_flow_rates = asp_flow_rates[i:i + 8] if asp_flow_rates else None
|
||||
current_asp_offset = offsets[i:i + 8] if offsets else [None] * 8
|
||||
current_dis_offset = offsets[i:i + 8] if offsets else [None] * 8
|
||||
current_asp_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
|
||||
current_dis_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
|
||||
current_asp_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
|
||||
current_dis_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
|
||||
current_dis_flow_rates = dis_flow_rates[i:i + 8] if dis_flow_rates else None
|
||||
# 8个8个来取任务序列
|
||||
|
||||
await self.aspirate(
|
||||
resources=current_reagent_sources,
|
||||
vols=current_asp_vols,
|
||||
use_channels=use_channels,
|
||||
flow_rates=current_asp_flow_rates,
|
||||
offsets=current_asp_offset,
|
||||
blow_out_air_volume=current_asp_blow_out_air_volume,
|
||||
liquid_height=current_asp_liquid_height,
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[0])
|
||||
await self.dispense(
|
||||
resources=current_targets,
|
||||
vols=current_dis_vols,
|
||||
use_channels=use_channels,
|
||||
flow_rates=current_dis_flow_rates,
|
||||
offsets=current_dis_offset,
|
||||
blow_out_air_volume=current_dis_blow_out_air_volume,
|
||||
liquid_height=current_dis_liquid_height,
|
||||
spread=spread,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
|
||||
if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
|
||||
await self.mix(
|
||||
targets=current_targets,
|
||||
mix_time=mix_times,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
await self.touch_tip(current_targets)
|
||||
await self.discard_tips([0,1,2,3,4,5,6,7])
|
||||
|
||||
async def _transfer_one_to_many(
|
||||
self,
|
||||
source: Container,
|
||||
targets: Sequence[Container],
|
||||
tip_racks: Sequence[TipRack],
|
||||
use_channels: List[int],
|
||||
asp_vols: List[float],
|
||||
dis_vols: List[float],
|
||||
asp_flow_rates: Optional[List[Optional[float]]],
|
||||
dis_flow_rates: Optional[List[Optional[float]]],
|
||||
offsets: Optional[List[Coordinate]],
|
||||
touch_tip: bool,
|
||||
liquid_height: Optional[List[Optional[float]]],
|
||||
blow_out_air_volume: Optional[List[Optional[float]]],
|
||||
spread: Literal["wide", "tight", "custom"],
|
||||
mix_stage: Optional[Literal["none", "before", "after", "both"]],
|
||||
mix_times: Optional[int],
|
||||
mix_vol: Optional[int],
|
||||
mix_rate: Optional[int],
|
||||
mix_liquid_height: Optional[float],
|
||||
delays: Optional[List[int]],
|
||||
):
|
||||
"""一对多传输模式:1 source -> N targets"""
|
||||
# 验证和扩展体积参数
|
||||
if len(asp_vols) == 1:
|
||||
# 如果只提供一个吸液体积,计算总吸液体积(所有分液体积之和)
|
||||
total_asp_vol = sum(dis_vols)
|
||||
asp_vol = asp_vols[0] if asp_vols[0] >= total_asp_vol else total_asp_vol
|
||||
else:
|
||||
raise ValueError("For one-to-many mode, `asp_vols` should be a single value or list with one element.")
|
||||
|
||||
if len(dis_vols) != len(targets):
|
||||
raise ValueError(f"Length of `dis_vols` {len(dis_vols)} must match `targets` {len(targets)}.")
|
||||
|
||||
if len(use_channels) == 1:
|
||||
# 单通道模式:一次吸液,多次分液
|
||||
tip = []
|
||||
for _ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
|
||||
# 从源容器吸液(总体积)
|
||||
await self.aspirate(
|
||||
resources=[source],
|
||||
vols=[asp_vol],
|
||||
use_channels=use_channels,
|
||||
flow_rates=[asp_flow_rates[0]] if asp_flow_rates and len(asp_flow_rates) > 0 else None,
|
||||
offsets=[offsets[0]] if offsets and len(offsets) > 0 else None,
|
||||
liquid_height=[liquid_height[0]] if liquid_height and len(liquid_height) > 0 else None,
|
||||
blow_out_air_volume=[blow_out_air_volume[0]] if blow_out_air_volume and len(blow_out_air_volume) > 0 else None,
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[0])
|
||||
|
||||
# 分多次分液到不同的目标容器
|
||||
for idx, target in enumerate(targets):
|
||||
await self.dispense(
|
||||
resources=[target],
|
||||
vols=[dis_vols[idx]],
|
||||
use_channels=use_channels,
|
||||
flow_rates=[dis_flow_rates[idx]] if dis_flow_rates and len(dis_flow_rates) > idx else None,
|
||||
offsets=[offsets[idx]] if offsets and len(offsets) > idx else None,
|
||||
blow_out_air_volume=[blow_out_air_volume[idx]] if blow_out_air_volume and len(blow_out_air_volume) > idx else None,
|
||||
liquid_height=[liquid_height[idx]] if liquid_height and len(liquid_height) > idx else None,
|
||||
spread=spread,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
|
||||
await self.mix(
|
||||
targets=[target],
|
||||
mix_time=mix_times,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets[idx:idx+1] if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
if touch_tip:
|
||||
await self.touch_tip([target])
|
||||
|
||||
await self.discard_tips(use_channels=use_channels)
|
||||
|
||||
elif len(use_channels) == 8:
|
||||
# 8通道模式:需要确保目标数量是8的倍数
|
||||
if len(targets) % 8 != 0:
|
||||
raise ValueError(f"For 8-channel mode, number of targets {len(targets)} must be a multiple of 8.")
|
||||
|
||||
# 每次处理8个目标
|
||||
for i in range(0, len(targets), 8):
|
||||
tip = []
|
||||
for _ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
|
||||
current_targets = targets[i:i + 8]
|
||||
current_dis_vols = dis_vols[i:i + 8]
|
||||
|
||||
# 8个通道都从同一个源容器吸液,每个通道的吸液体积等于对应的分液体积
|
||||
current_asp_flow_rates = asp_flow_rates[0:1] * 8 if asp_flow_rates and len(asp_flow_rates) > 0 else None
|
||||
current_asp_offset = offsets[0:1] * 8 if offsets and len(offsets) > 0 else [None] * 8
|
||||
current_asp_liquid_height = liquid_height[0:1] * 8 if liquid_height and len(liquid_height) > 0 else [None] * 8
|
||||
current_asp_blow_out_air_volume = blow_out_air_volume[0:1] * 8 if blow_out_air_volume and len(blow_out_air_volume) > 0 else [None] * 8
|
||||
|
||||
# 从源容器吸液(8个通道都从同一个源,但每个通道的吸液体积不同)
|
||||
await self.aspirate(
|
||||
resources=[source] * 8, # 8个通道都从同一个源
|
||||
vols=current_dis_vols, # 每个通道的吸液体积等于对应的分液体积
|
||||
use_channels=use_channels,
|
||||
flow_rates=current_asp_flow_rates,
|
||||
offsets=current_asp_offset,
|
||||
liquid_height=current_asp_liquid_height,
|
||||
blow_out_air_volume=current_asp_blow_out_air_volume,
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[0])
|
||||
|
||||
# 分液到8个目标
|
||||
current_dis_flow_rates = dis_flow_rates[i:i + 8] if dis_flow_rates else None
|
||||
current_dis_offset = offsets[i:i + 8] if offsets else [None] * 8
|
||||
current_dis_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
|
||||
current_dis_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
|
||||
|
||||
await self.dispense(
|
||||
resources=current_targets,
|
||||
vols=current_dis_vols,
|
||||
use_channels=use_channels,
|
||||
flow_rates=current_dis_flow_rates,
|
||||
offsets=current_dis_offset,
|
||||
blow_out_air_volume=current_dis_blow_out_air_volume,
|
||||
liquid_height=current_dis_liquid_height,
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
|
||||
if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
|
||||
await self.mix(
|
||||
targets=current_targets,
|
||||
mix_time=mix_times,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
|
||||
if touch_tip:
|
||||
await self.touch_tip(current_targets)
|
||||
|
||||
await self.discard_tips([0,1,2,3,4,5,6,7])
|
||||
|
||||
async def _transfer_many_to_one(
|
||||
self,
|
||||
sources: Sequence[Container],
|
||||
target: Container,
|
||||
tip_racks: Sequence[TipRack],
|
||||
use_channels: List[int],
|
||||
asp_vols: List[float],
|
||||
dis_vols: List[float],
|
||||
asp_flow_rates: Optional[List[Optional[float]]],
|
||||
dis_flow_rates: Optional[List[Optional[float]]],
|
||||
offsets: Optional[List[Coordinate]],
|
||||
touch_tip: bool,
|
||||
liquid_height: Optional[List[Optional[float]]],
|
||||
blow_out_air_volume: Optional[List[Optional[float]]],
|
||||
spread: Literal["wide", "tight", "custom"],
|
||||
mix_stage: Optional[Literal["none", "before", "after", "both"]],
|
||||
mix_times: Optional[int],
|
||||
mix_vol: Optional[int],
|
||||
mix_rate: Optional[int],
|
||||
mix_liquid_height: Optional[float],
|
||||
delays: Optional[List[int]],
|
||||
):
|
||||
"""多对一传输模式:N sources -> 1 target(汇总/混合)"""
|
||||
# 验证和扩展体积参数
|
||||
if len(asp_vols) != len(sources):
|
||||
raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `sources` {len(sources)}.")
|
||||
|
||||
# 支持两种模式:
|
||||
# 1. dis_vols 为单个值:所有源汇总,使用总吸液体积或指定分液体积
|
||||
# 2. dis_vols 长度等于 asp_vols:每个源按不同比例分液(按比例混合)
|
||||
if len(dis_vols) == 1:
|
||||
# 模式1:使用单个分液体积
|
||||
total_dis_vol = sum(asp_vols)
|
||||
dis_vol = dis_vols[0] if dis_vols[0] >= total_dis_vol else total_dis_vol
|
||||
use_proportional_mixing = False
|
||||
elif len(dis_vols) == len(asp_vols):
|
||||
# 模式2:按不同比例混合
|
||||
use_proportional_mixing = True
|
||||
else:
|
||||
raise ValueError(
|
||||
f"For many-to-one mode, `dis_vols` should be a single value or list with length {len(asp_vols)} "
|
||||
f"(matching `asp_vols`). Got length {len(dis_vols)}."
|
||||
)
|
||||
|
||||
if len(use_channels) == 1:
|
||||
# 单通道模式:多次吸液,一次分液
|
||||
# 先混合前(如果需要)
|
||||
if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
|
||||
# 注意:在吸液前混合源容器通常不常见,这里跳过
|
||||
pass
|
||||
|
||||
# 从每个源容器吸液并分液到目标容器
|
||||
for idx, source in enumerate(sources):
|
||||
tip = []
|
||||
for _ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
|
||||
await self.aspirate(
|
||||
resources=[source],
|
||||
vols=[asp_vols[idx]],
|
||||
use_channels=use_channels,
|
||||
flow_rates=[asp_flow_rates[idx]] if asp_flow_rates and len(asp_flow_rates) > idx else None,
|
||||
offsets=[offsets[idx]] if offsets and len(offsets) > idx else None,
|
||||
liquid_height=[liquid_height[idx]] if liquid_height and len(liquid_height) > idx else None,
|
||||
blow_out_air_volume=[blow_out_air_volume[idx]] if blow_out_air_volume and len(blow_out_air_volume) > idx else None,
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[0])
|
||||
|
||||
# 分液到目标容器
|
||||
if use_proportional_mixing:
|
||||
# 按不同比例混合:使用对应的 dis_vols
|
||||
dis_vol = dis_vols[idx]
|
||||
dis_flow_rate = dis_flow_rates[idx] if dis_flow_rates and len(dis_flow_rates) > idx else None
|
||||
dis_offset = offsets[idx] if offsets and len(offsets) > idx else None
|
||||
dis_liquid_height = liquid_height[idx] if liquid_height and len(liquid_height) > idx else None
|
||||
dis_blow_out = blow_out_air_volume[idx] if blow_out_air_volume and len(blow_out_air_volume) > idx else None
|
||||
else:
|
||||
# 标准模式:分液体积等于吸液体积
|
||||
dis_vol = asp_vols[idx]
|
||||
dis_flow_rate = dis_flow_rates[0] if dis_flow_rates and len(dis_flow_rates) > 0 else None
|
||||
dis_offset = offsets[0] if offsets and len(offsets) > 0 else None
|
||||
dis_liquid_height = liquid_height[0] if liquid_height and len(liquid_height) > 0 else None
|
||||
dis_blow_out = blow_out_air_volume[0] if blow_out_air_volume and len(blow_out_air_volume) > 0 else None
|
||||
|
||||
await self.dispense(
|
||||
resources=[target],
|
||||
vols=[dis_vol],
|
||||
use_channels=use_channels,
|
||||
flow_rates=[dis_flow_rate] if dis_flow_rate is not None else None,
|
||||
offsets=[dis_offset] if dis_offset is not None else None,
|
||||
blow_out_air_volume=[dis_blow_out] if dis_blow_out is not None else None,
|
||||
liquid_height=[dis_liquid_height] if dis_liquid_height is not None else None,
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
|
||||
await self.discard_tips(use_channels=use_channels)
|
||||
|
||||
# 最后在目标容器中混合(如果需要)
|
||||
if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
|
||||
await self.mix(
|
||||
targets=[target],
|
||||
mix_time=mix_times,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets[0:1] if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
|
||||
if touch_tip:
|
||||
await self.touch_tip([target])
|
||||
|
||||
elif len(use_channels) == 8:
|
||||
# 8通道模式:需要确保源数量是8的倍数
|
||||
if len(sources) % 8 != 0:
|
||||
raise ValueError(f"For 8-channel mode, number of sources {len(sources)} must be a multiple of 8.")
|
||||
|
||||
# 每次处理8个源
|
||||
for i in range(0, len(sources), 8):
|
||||
tip = []
|
||||
for _ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
|
||||
current_sources = sources[i:i + 8]
|
||||
current_asp_vols = asp_vols[i:i + 8]
|
||||
current_asp_flow_rates = asp_flow_rates[i:i + 8] if asp_flow_rates else None
|
||||
current_asp_offset = offsets[i:i + 8] if offsets else [None] * 8
|
||||
current_asp_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
|
||||
current_asp_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
|
||||
|
||||
# 从8个源容器吸液
|
||||
await self.aspirate(
|
||||
resources=current_sources,
|
||||
vols=current_asp_vols,
|
||||
use_channels=use_channels,
|
||||
flow_rates=current_asp_flow_rates,
|
||||
offsets=current_asp_offset,
|
||||
blow_out_air_volume=current_asp_blow_out_air_volume,
|
||||
liquid_height=current_asp_liquid_height,
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[0])
|
||||
|
||||
# 分液到目标容器(每个通道分液到同一个目标)
|
||||
if use_proportional_mixing:
|
||||
# 按比例混合:使用对应的 dis_vols
|
||||
for i in range(0, len(targets), 8):
|
||||
# 取出8个任务
|
||||
tip = []
|
||||
for _ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
current_targets = targets[i:i + 8]
|
||||
current_reagent_sources = sources[i:i + 8]
|
||||
current_asp_vols = asp_vols[i:i + 8]
|
||||
current_dis_vols = dis_vols[i:i + 8]
|
||||
current_dis_flow_rates = dis_flow_rates[i:i + 8] if dis_flow_rates else None
|
||||
current_dis_offset = offsets[i:i + 8] if offsets else [None] * 8
|
||||
current_dis_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
|
||||
current_dis_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
|
||||
else:
|
||||
# 标准模式:每个通道分液体积等于其吸液体积
|
||||
current_dis_vols = current_asp_vols
|
||||
current_dis_flow_rates = dis_flow_rates[0:1] * 8 if dis_flow_rates else None
|
||||
current_dis_offset = offsets[0:1] * 8 if offsets else [None] * 8
|
||||
current_dis_liquid_height = liquid_height[0:1] * 8 if liquid_height else [None] * 8
|
||||
current_dis_blow_out_air_volume = blow_out_air_volume[0:1] * 8 if blow_out_air_volume else [None] * 8
|
||||
|
||||
await self.dispense(
|
||||
resources=[target] * 8, # 8个通道都分到同一个目标
|
||||
vols=current_dis_vols,
|
||||
use_channels=use_channels,
|
||||
flow_rates=current_dis_flow_rates,
|
||||
offsets=current_dis_offset,
|
||||
blow_out_air_volume=current_dis_blow_out_air_volume,
|
||||
liquid_height=current_dis_liquid_height,
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
|
||||
await self.discard_tips([0,1,2,3,4,5,6,7])
|
||||
|
||||
# 最后在目标容器中混合(如果需要)
|
||||
if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
|
||||
await self.mix(
|
||||
targets=[target],
|
||||
mix_time=mix_times,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets[0:1] if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
|
||||
if touch_tip:
|
||||
await self.touch_tip([target])
|
||||
current_asp_flow_rates = asp_flow_rates[i:i + 8]
|
||||
current_asp_offset = offsets[i:i + 8] if offsets else [None] * 8
|
||||
current_dis_offset = offsets[-i*8-8:len(offsets)-i*8] if offsets else [None] * 8
|
||||
current_asp_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
|
||||
current_dis_liquid_height = liquid_height[-i*8-8:len(liquid_height)-i*8] if liquid_height else [None] * 8
|
||||
current_asp_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
|
||||
current_dis_blow_out_air_volume = blow_out_air_volume[-i*8-8:len(blow_out_air_volume)-i*8] if blow_out_air_volume else [None] * 8
|
||||
current_dis_flow_rates = dis_flow_rates[i:i + 8] if dis_flow_rates else [None] * 8
|
||||
|
||||
await self.aspirate(
|
||||
resources=current_reagent_sources,
|
||||
vols=current_asp_vols,
|
||||
use_channels=use_channels,
|
||||
flow_rates=current_asp_flow_rates,
|
||||
offsets=current_asp_offset,
|
||||
blow_out_air_volume=current_asp_blow_out_air_volume,
|
||||
liquid_height=current_asp_liquid_height,
|
||||
spread=spread,
|
||||
)
|
||||
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[0])
|
||||
await self.dispense(
|
||||
resources=current_targets,
|
||||
vols=current_dis_vols,
|
||||
use_channels=use_channels,
|
||||
flow_rates=current_dis_flow_rates,
|
||||
offsets=current_dis_offset,
|
||||
blow_out_air_volume=current_dis_blow_out_air_volume,
|
||||
liquid_height=current_dis_liquid_height,
|
||||
spread=spread,
|
||||
)
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
|
||||
await self.mix(
|
||||
targets=current_targets,
|
||||
mix_time=mix_times,
|
||||
mix_vol=mix_vol,
|
||||
offsets=offsets if offsets else None,
|
||||
height_to_bottom=mix_liquid_height if mix_liquid_height else None,
|
||||
mix_rate=mix_rate if mix_rate else None,
|
||||
)
|
||||
if delays is not None:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
await self.touch_tip(current_targets)
|
||||
await self.discard_tips([0,1,2,3,4,5,6,7])
|
||||
|
||||
# except Exception as e:
|
||||
# traceback.print_exc()
|
||||
|
||||
@@ -7,7 +7,7 @@ class VirtualMultiwayValve:
|
||||
"""
|
||||
虚拟九通阀门 - 0号位连接transfer pump,1-8号位连接其他设备 🔄
|
||||
"""
|
||||
def __init__(self, port: str = "VIRTUAL", positions: int = 8, **kwargs):
|
||||
def __init__(self, port: str = "VIRTUAL", positions: int = 8):
|
||||
self.port = port
|
||||
self.max_positions = positions # 1-8号位
|
||||
self.total_positions = positions + 1 # 0-8号位,共9个位置
|
||||
|
||||
@@ -147,7 +147,7 @@ class WorkstationBase(ABC):
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
deck: Optional[Deck],
|
||||
deck: Deck,
|
||||
*args,
|
||||
**kwargs, # 必须有kwargs
|
||||
):
|
||||
@@ -349,5 +349,5 @@ class WorkstationBase(ABC):
|
||||
|
||||
|
||||
class ProtocolNode(WorkstationBase):
|
||||
def __init__(self, protocol_type: List[str], deck: Optional[PLRResource], *args, **kwargs):
|
||||
def __init__(self, deck: Optional[PLRResource], *args, **kwargs):
|
||||
super().__init__(deck, *args, **kwargs)
|
||||
|
||||
@@ -620,56 +620,6 @@ bioyond_dispensing_station:
|
||||
title: DispenStationSolnPrep
|
||||
type: object
|
||||
type: DispenStationSolnPrep
|
||||
transfer_materials_to_reaction_station:
|
||||
feedback: {}
|
||||
goal:
|
||||
target_device_id: target_device_id
|
||||
transfer_groups: transfer_groups
|
||||
goal_default:
|
||||
target_device_id: ''
|
||||
transfer_groups: ''
|
||||
handles: {}
|
||||
placeholder_keys:
|
||||
target_device_id: unilabos_devices
|
||||
result: {}
|
||||
schema:
|
||||
description: 将配液站完成的物料(溶液、样品等)转移到指定反应站的堆栈库位。支持配置多组转移任务,每组包含物料名称、目标堆栈和目标库位。
|
||||
properties:
|
||||
feedback: {}
|
||||
goal:
|
||||
properties:
|
||||
target_device_id:
|
||||
description: 目标反应站设备ID(从设备列表中选择,所有转移组都使用同一个目标设备)
|
||||
type: string
|
||||
transfer_groups:
|
||||
description: 转移任务组列表,每组包含物料名称、目标堆栈和目标库位,可以添加多组
|
||||
items:
|
||||
properties:
|
||||
materials:
|
||||
description: 物料名称(手动输入,系统将通过RPC查询验证)
|
||||
type: string
|
||||
target_sites:
|
||||
description: 目标库位(手动输入,如"A01")
|
||||
type: string
|
||||
target_stack:
|
||||
description: 目标堆栈名称(手动输入,如"堆栈1左")
|
||||
type: string
|
||||
required:
|
||||
- materials
|
||||
- target_stack
|
||||
- target_sites
|
||||
type: object
|
||||
type: array
|
||||
required:
|
||||
- target_device_id
|
||||
- transfer_groups
|
||||
type: object
|
||||
result: {}
|
||||
required:
|
||||
- goal
|
||||
title: transfer_materials_to_reaction_station参数
|
||||
type: object
|
||||
type: UniLabJsonCommand
|
||||
wait_for_multiple_orders_and_get_reports:
|
||||
feedback: {}
|
||||
goal:
|
||||
|
||||
@@ -6036,12 +6036,7 @@ workstation:
|
||||
properties:
|
||||
deck:
|
||||
type: string
|
||||
protocol_type:
|
||||
items:
|
||||
type: string
|
||||
type: array
|
||||
required:
|
||||
- protocol_type
|
||||
- deck
|
||||
type: object
|
||||
data:
|
||||
|
||||
@@ -2,7 +2,7 @@ container:
|
||||
category:
|
||||
- container
|
||||
class:
|
||||
module: unilabos.resources.container:get_regular_container
|
||||
module: unilabos.resources.container:RegularContainer
|
||||
type: pylabrobot
|
||||
description: regular organic container
|
||||
handles:
|
||||
|
||||
@@ -22,13 +22,6 @@ class RegularContainer(Container):
|
||||
|
||||
def load_state(self, state: Dict[str, Any]):
|
||||
self.state = state
|
||||
|
||||
|
||||
def get_regular_container(name="container"):
|
||||
r = RegularContainer(name=name)
|
||||
r.category = "container"
|
||||
return RegularContainer(name=name)
|
||||
|
||||
#
|
||||
# class RegularContainer(object):
|
||||
# # 第一个参数必须是id传入
|
||||
|
||||
@@ -45,13 +45,10 @@ def canonicalize_nodes_data(
|
||||
print_status(f"{len(nodes)} Resources loaded:", "info")
|
||||
|
||||
# 第一步:基本预处理(处理graphml的label字段)
|
||||
outer_host_node_id = None
|
||||
for idx, node in enumerate(nodes):
|
||||
for node in nodes:
|
||||
if node.get("label") is not None:
|
||||
node_id = node.pop("label")
|
||||
node["id"] = node["name"] = node_id
|
||||
if node["id"] == "host_node":
|
||||
outer_host_node_id = idx
|
||||
if not isinstance(node.get("config"), dict):
|
||||
node["config"] = {}
|
||||
if not node.get("type"):
|
||||
@@ -61,26 +58,25 @@ def canonicalize_nodes_data(
|
||||
node["name"] = node.get("id")
|
||||
print_status(f"Warning: Node {node.get('id', 'unknown')} missing 'name', defaulting to {node['name']}", "warning")
|
||||
if not isinstance(node.get("position"), dict):
|
||||
node["pose"] = {"position": {}}
|
||||
node["position"] = {"position": {}}
|
||||
x = node.pop("x", None)
|
||||
if x is not None:
|
||||
node["pose"]["position"]["x"] = x
|
||||
node["position"]["position"]["x"] = x
|
||||
y = node.pop("y", None)
|
||||
if y is not None:
|
||||
node["pose"]["position"]["y"] = y
|
||||
node["position"]["position"]["y"] = y
|
||||
z = node.pop("z", None)
|
||||
if z is not None:
|
||||
node["pose"]["position"]["z"] = z
|
||||
node["position"]["position"]["z"] = z
|
||||
if "sample_id" in node:
|
||||
sample_id = node.pop("sample_id")
|
||||
if sample_id:
|
||||
logger.error(f"{node}的sample_id参数已弃用,sample_id: {sample_id}")
|
||||
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", "pose"]:
|
||||
if k not in ["id", "uuid", "name", "description", "schema", "model", "icon", "parent_uuid", "parent", "type", "class", "position", "config", "data", "children"]:
|
||||
v = node.pop(k)
|
||||
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
|
||||
id2idx = {node["id"]: idx for idx, node in enumerate(nodes)}
|
||||
for parent, children in parent_relation.items():
|
||||
@@ -97,7 +93,7 @@ def canonicalize_nodes_data(
|
||||
|
||||
for node in nodes:
|
||||
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
|
||||
resource_instance = ResourceDictInstance.get_resource_instance_from_dict(node)
|
||||
known_nodes[node["id"]] = resource_instance
|
||||
@@ -586,15 +582,11 @@ def resource_plr_to_ulab(resource_plr: "ResourcePLR", parent_name: str = None, w
|
||||
"tip_rack": "tip_rack",
|
||||
"warehouse": "warehouse",
|
||||
"container": "container",
|
||||
"tube": "tube",
|
||||
"bottle_carrier": "bottle_carrier",
|
||||
"plate_adapter": "plate_adapter",
|
||||
}
|
||||
if source in replace_info:
|
||||
return replace_info[source]
|
||||
else:
|
||||
if source is not None:
|
||||
logger.warning(f"转换pylabrobot的时候,出现未知类型: {source}")
|
||||
logger.warning(f"转换pylabrobot的时候,出现未知类型: {source}")
|
||||
return source
|
||||
|
||||
def resource_plr_to_ulab_inner(d: dict, all_states: dict, child=True) -> dict:
|
||||
|
||||
@@ -5,7 +5,6 @@ from unilabos.ros.msgs.message_converter import (
|
||||
get_action_type,
|
||||
)
|
||||
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
|
||||
T = TypeVar("T")
|
||||
@@ -19,11 +18,12 @@ class ROS2DeviceNodeWrapper(ROS2DeviceNode):
|
||||
|
||||
def ros2_device_node(
|
||||
cls: Type[T],
|
||||
device_config: Optional[ResourceDictInstance] = None,
|
||||
device_config: Optional[Dict[str, Any]] = None,
|
||||
status_types: Optional[Dict[str, Any]] = None,
|
||||
action_value_mappings: Optional[Dict[str, Any]] = None,
|
||||
hardware_interface: Optional[Dict[str, Any]] = None,
|
||||
print_publish: bool = False,
|
||||
children: Optional[Dict[str, Any]] = None,
|
||||
) -> Type[ROS2DeviceNodeWrapper]:
|
||||
"""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:
|
||||
status_types = {}
|
||||
if device_config is None:
|
||||
raise ValueError("device_config cannot be None")
|
||||
device_config = {}
|
||||
if action_value_mappings is None:
|
||||
action_value_mappings = {}
|
||||
if hardware_interface is None:
|
||||
@@ -82,6 +82,7 @@ def ros2_device_node(
|
||||
action_value_mappings=action_value_mappings,
|
||||
hardware_interface=hardware_interface,
|
||||
print_publish=print_publish,
|
||||
children=children,
|
||||
*args,
|
||||
**kwargs,
|
||||
),
|
||||
|
||||
@@ -4,14 +4,13 @@ from typing import Optional
|
||||
from unilabos.registry.registry import lab_registry
|
||||
from unilabos.ros.device_node_wrapper import ros2_device_node
|
||||
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.exception import DeviceClassInvalid
|
||||
from unilabos.utils.import_manager import default_manager
|
||||
|
||||
|
||||
|
||||
def initialize_device_from_dict(device_id, device_config: ResourceDictInstance) -> Optional[ROS2DeviceNode]:
|
||||
def initialize_device_from_dict(device_id, device_config) -> Optional[ROS2DeviceNode]:
|
||||
"""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.
|
||||
@@ -25,14 +24,15 @@ def initialize_device_from_dict(device_id, device_config: ResourceDictInstance)
|
||||
None
|
||||
"""
|
||||
d = None
|
||||
device_class_config = device_config.res_content.klass
|
||||
uid = device_config.res_content.uuid
|
||||
original_device_config = copy.deepcopy(device_config)
|
||||
device_class_config = device_config["class"]
|
||||
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 len(device_class_config) == 0:
|
||||
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:
|
||||
raise DeviceClassInvalid(f"Device [{device_id}] class {device_class_config} not found. {device_config}")
|
||||
device_class_config = lab_registry.device_type_registry[device_class_config]["class"]
|
||||
device_class_config = device_config["class"] = lab_registry.device_type_registry[device_class_config]["class"]
|
||||
elif isinstance(device_class_config, dict):
|
||||
raise DeviceClassInvalid(f"Device [{device_id}] class config should be type 'str' but 'dict' got. {device_config}")
|
||||
if isinstance(device_class_config, dict):
|
||||
@@ -41,16 +41,17 @@ def initialize_device_from_dict(device_id, device_config: ResourceDictInstance)
|
||||
DEVICE = ros2_device_node(
|
||||
DEVICE,
|
||||
status_types=device_class_config.get("status_types", {}),
|
||||
device_config=device_config,
|
||||
device_config=original_device_config,
|
||||
action_value_mappings=device_class_config.get("action_value_mappings", {}),
|
||||
hardware_interface=device_class_config.get(
|
||||
"hardware_interface",
|
||||
{"name": "hardware_interface", "write": "send_command", "read": "read_data", "extra_info": []},
|
||||
)
|
||||
),
|
||||
children=device_config.get("children", {})
|
||||
)
|
||||
try:
|
||||
d = DEVICE(
|
||||
device_id=device_id, device_uuid=uid, driver_is_ros=device_class_config["type"] == "ros2", driver_params=device_config.res_content.config
|
||||
device_id=device_id, device_uuid=uid, driver_is_ros=device_class_config["type"] == "ros2", driver_params=device_config.get("config", {})
|
||||
)
|
||||
except DeviceInitError as ex:
|
||||
return d
|
||||
|
||||
@@ -192,7 +192,7 @@ def slave(
|
||||
for device_config in devices_config.root_nodes:
|
||||
device_id = device_config.res_content.id
|
||||
if device_config.res_content.type == "device":
|
||||
d = initialize_device_from_dict(device_id, device_config)
|
||||
d = initialize_device_from_dict(device_id, device_config.get_nested_dict())
|
||||
if d is not None:
|
||||
devices_instances[device_id] = d
|
||||
logger.info(f"Device {device_id} initialized.")
|
||||
|
||||
@@ -48,7 +48,7 @@ from unilabos_msgs.msg import Resource # type: ignore
|
||||
from unilabos.ros.nodes.resource_tracker import (
|
||||
DeviceNodeResourceTracker,
|
||||
ResourceTreeSet,
|
||||
ResourceTreeInstance, ResourceDictInstance,
|
||||
ResourceTreeInstance,
|
||||
)
|
||||
from unilabos.ros.x.rclpyx import get_event_loop
|
||||
from unilabos.ros.utils.driver_creator import WorkstationNodeCreator, PyLabRobotCreator, DeviceClassCreator
|
||||
@@ -133,11 +133,12 @@ def init_wrapper(
|
||||
device_id: str,
|
||||
device_uuid: str,
|
||||
driver_class: type[T],
|
||||
device_config: ResourceTreeInstance,
|
||||
device_config: Dict[str, Any],
|
||||
status_types: Dict[str, Any],
|
||||
action_value_mappings: Dict[str, Any],
|
||||
hardware_interface: Dict[str, Any],
|
||||
print_publish: bool,
|
||||
children: Optional[list] = None,
|
||||
driver_params: Optional[Dict[str, Any]] = None,
|
||||
driver_is_ros: bool = False,
|
||||
*args,
|
||||
@@ -146,6 +147,8 @@ def init_wrapper(
|
||||
"""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:
|
||||
driver_params = kwargs.copy()
|
||||
if children is None:
|
||||
children = []
|
||||
kwargs["device_id"] = device_id
|
||||
kwargs["device_uuid"] = device_uuid
|
||||
kwargs["driver_class"] = driver_class
|
||||
@@ -154,6 +157,7 @@ def init_wrapper(
|
||||
kwargs["status_types"] = status_types
|
||||
kwargs["action_value_mappings"] = action_value_mappings
|
||||
kwargs["hardware_interface"] = hardware_interface
|
||||
kwargs["children"] = children
|
||||
kwargs["print_publish"] = print_publish
|
||||
kwargs["driver_is_ros"] = driver_is_ros
|
||||
super(type(self), self).__init__(*args, **kwargs)
|
||||
@@ -582,7 +586,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
|
||||
except Exception as e:
|
||||
self.lab_logger().error(f"更新资源uuid失败: {e}")
|
||||
self.lab_logger().error(traceback.format_exc())
|
||||
self.lab_logger().trace(f"资源更新结果: {response}")
|
||||
self.lab_logger().debug(f"资源更新结果: {response}")
|
||||
|
||||
async def get_resource(self, resources_uuid: List[str], with_children: bool = True) -> ResourceTreeSet:
|
||||
"""
|
||||
@@ -1140,7 +1144,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
|
||||
queried_resources = []
|
||||
for resource_data in resource_inputs:
|
||||
plr_resource = await self.get_resource_with_dir(
|
||||
resource_id=resource_data["id"], with_children=True
|
||||
resource_ids=resource_data["id"], with_children=True
|
||||
)
|
||||
queried_resources.append(plr_resource)
|
||||
|
||||
@@ -1164,6 +1168,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
|
||||
execution_error = traceback.format_exc()
|
||||
break
|
||||
|
||||
##### self.lab_logger().info(f"准备执行: {action_kwargs}, 函数: {ACTION.__name__}")
|
||||
time_start = time.time()
|
||||
time_overall = 100
|
||||
future = None
|
||||
@@ -1171,36 +1176,35 @@ class BaseROS2DeviceNode(Node, Generic[T]):
|
||||
# 将阻塞操作放入线程池执行
|
||||
if asyncio.iscoroutinefunction(ACTION):
|
||||
try:
|
||||
self.lab_logger().trace(f"异步执行动作 {ACTION}")
|
||||
def _handle_future_exception(fut: Future):
|
||||
##### self.lab_logger().info(f"异步执行动作 {ACTION}")
|
||||
future = ROS2DeviceNode.run_async_func(ACTION, trace_error=False, **action_kwargs)
|
||||
|
||||
def _handle_future_exception(fut):
|
||||
nonlocal execution_error, execution_success, action_return_value
|
||||
try:
|
||||
action_return_value = fut.result()
|
||||
if isinstance(action_return_value, BaseException):
|
||||
raise action_return_value
|
||||
execution_success = True
|
||||
except Exception as _:
|
||||
except Exception as e:
|
||||
execution_error = traceback.format_exc()
|
||||
error(
|
||||
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)
|
||||
except Exception as e:
|
||||
execution_error = traceback.format_exc()
|
||||
execution_success = False
|
||||
self.lab_logger().error(f"创建异步任务失败: {traceback.format_exc()}")
|
||||
else:
|
||||
self.lab_logger().trace(f"同步执行动作 {ACTION}")
|
||||
##### self.lab_logger().info(f"同步执行动作 {ACTION}")
|
||||
future = self._executor.submit(ACTION, **action_kwargs)
|
||||
|
||||
def _handle_future_exception(fut: Future):
|
||||
def _handle_future_exception(fut):
|
||||
nonlocal execution_error, execution_success, action_return_value
|
||||
try:
|
||||
action_return_value = fut.result()
|
||||
execution_success = True
|
||||
except Exception as _:
|
||||
except Exception as e:
|
||||
execution_error = traceback.format_exc()
|
||||
error(
|
||||
f"同步任务 {ACTION.__name__} 报错了\n{traceback.format_exc()}\n原始输入:{action_kwargs}"
|
||||
@@ -1305,7 +1309,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
|
||||
get_result_info_str(execution_error, execution_success, action_return_value),
|
||||
)
|
||||
|
||||
self.lab_logger().trace(f"动作 {action_name} 完成并返回结果")
|
||||
##### self.lab_logger().info(f"动作 {action_name} 完成并返回结果")
|
||||
return result_msg
|
||||
|
||||
return execute_callback
|
||||
@@ -1540,29 +1544,17 @@ 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。
|
||||
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
|
||||
def run_async_func(cls, func, trace_error=True, inner_trace_callback=None, **kwargs) -> Task:
|
||||
def _handle_future_exception(fut: Future):
|
||||
def run_async_func(cls, func, trace_error=True, **kwargs) -> Task:
|
||||
def _handle_future_exception(fut):
|
||||
try:
|
||||
ret = fut.result()
|
||||
if isinstance(ret, BaseException):
|
||||
raise ret
|
||||
fut.result()
|
||||
except Exception as e:
|
||||
error(f"异步任务 {func.__name__} 获取结果失败")
|
||||
error(f"异步任务 {func.__name__} 报错了")
|
||||
error(traceback.format_exc())
|
||||
|
||||
future = rclpy.get_global_executor().create_task(ROS2DeviceNode.safe_task_wrapper(inner_trace_callback, func, **kwargs))
|
||||
future = rclpy.get_global_executor().create_task(func(**kwargs))
|
||||
if trace_error:
|
||||
future.add_done_callback(_handle_future_exception)
|
||||
return future
|
||||
@@ -1590,11 +1582,12 @@ class ROS2DeviceNode:
|
||||
device_id: str,
|
||||
device_uuid: str,
|
||||
driver_class: Type[T],
|
||||
device_config: ResourceDictInstance,
|
||||
device_config: Dict[str, Any],
|
||||
driver_params: Dict[str, Any],
|
||||
status_types: Dict[str, Any],
|
||||
action_value_mappings: Dict[str, Any],
|
||||
hardware_interface: Dict[str, Any],
|
||||
children: Dict[str, Any],
|
||||
print_publish: bool = True,
|
||||
driver_is_ros: bool = False,
|
||||
):
|
||||
@@ -1605,7 +1598,7 @@ class ROS2DeviceNode:
|
||||
device_id: 设备标识符
|
||||
device_uuid: 设备uuid
|
||||
driver_class: 设备类
|
||||
device_config: 原始初始化的ResourceDictInstance
|
||||
device_config: 原始初始化的json
|
||||
driver_params: driver初始化的参数
|
||||
status_types: 状态类型映射
|
||||
action_value_mappings: 动作值映射
|
||||
@@ -1619,7 +1612,6 @@ class ROS2DeviceNode:
|
||||
self._has_async_context = hasattr(driver_class, "__aenter__") and hasattr(driver_class, "__aexit__")
|
||||
self._driver_class = driver_class
|
||||
self.device_config = device_config
|
||||
children: List[ResourceDictInstance] = device_config.children
|
||||
self.driver_is_ros = driver_is_ros
|
||||
self.driver_is_workstation = False
|
||||
self.resource_tracker = DeviceNodeResourceTracker()
|
||||
|
||||
@@ -289,12 +289,6 @@ class HostNode(BaseROS2DeviceNode):
|
||||
self.lab_logger().info("[Host Node] Host node initialized.")
|
||||
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):
|
||||
sclient.wait_for_service()
|
||||
request = SerialCommand.Request()
|
||||
@@ -538,7 +532,7 @@ class HostNode(BaseROS2DeviceNode):
|
||||
self.lab_logger().info(f"[Host Node] Initializing device: {device_id}")
|
||||
|
||||
try:
|
||||
d = initialize_device_from_dict(device_id, device_config)
|
||||
d = initialize_device_from_dict(device_id, device_config.get_nested_dict())
|
||||
except DeviceClassInvalid as e:
|
||||
self.lab_logger().error(f"[Host Node] Device class invalid: {e}")
|
||||
d = None
|
||||
@@ -718,7 +712,7 @@ class HostNode(BaseROS2DeviceNode):
|
||||
feedback_callback=lambda feedback_msg: self.feedback_callback(item, action_id, feedback_msg),
|
||||
goal_uuid=goal_uuid_obj,
|
||||
)
|
||||
future.add_done_callback(lambda f: self.goal_response_callback(item, action_id, f))
|
||||
future.add_done_callback(lambda future: self.goal_response_callback(item, action_id, future))
|
||||
|
||||
def goal_response_callback(self, item: "QueueItem", action_id: str, future) -> None:
|
||||
"""目标响应回调"""
|
||||
@@ -729,11 +723,9 @@ class HostNode(BaseROS2DeviceNode):
|
||||
|
||||
self.lab_logger().info(f"[Host Node] Goal {action_id} ({item.job_id}) accepted")
|
||||
self._goals[item.job_id] = goal_handle
|
||||
goal_future = goal_handle.get_result_async()
|
||||
goal_future.add_done_callback(
|
||||
lambda f: self.get_result_callback(item, action_id, f)
|
||||
goal_handle.get_result_async().add_done_callback(
|
||||
lambda future: self.get_result_callback(item, action_id, future)
|
||||
)
|
||||
goal_future.result()
|
||||
|
||||
def feedback_callback(self, item: "QueueItem", action_id: str, feedback_msg) -> None:
|
||||
"""反馈回调"""
|
||||
@@ -802,7 +794,6 @@ class HostNode(BaseROS2DeviceNode):
|
||||
# 存储结果供 HTTP API 查询
|
||||
try:
|
||||
from unilabos.app.web.controller import store_job_result
|
||||
|
||||
if goal_status == GoalStatus.STATUS_CANCELED:
|
||||
store_job_result(job_id, status, return_info, {})
|
||||
else:
|
||||
@@ -1157,12 +1148,11 @@ class HostNode(BaseROS2DeviceNode):
|
||||
响应对象,包含查询到的资源
|
||||
"""
|
||||
try:
|
||||
from unilabos.app.web import http_client
|
||||
data = json.loads(request.command)
|
||||
if "uuid" in data and data["uuid"] is not None:
|
||||
http_req = http_client.resource_tree_get([data["uuid"]], data["with_children"])
|
||||
http_req = self.bridges[-1].resource_tree_get([data["uuid"]], data["with_children"])
|
||||
elif "id" in data and data["id"].startswith("/"):
|
||||
http_req = http_client.resource_get(data["id"], data["with_children"])
|
||||
http_req = self.bridges[-1].resource_get(data["id"], data["with_children"])
|
||||
else:
|
||||
raise ValueError("没有使用正确的物料 id 或 uuid")
|
||||
response.response = json.dumps(http_req["data"])
|
||||
|
||||
@@ -24,7 +24,7 @@ from unilabos.ros.msgs.message_converter import (
|
||||
convert_from_ros_msg_with_mapping,
|
||||
)
|
||||
from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, DeviceNodeResourceTracker, ROS2DeviceNode
|
||||
from unilabos.ros.nodes.resource_tracker import ResourceTreeSet, ResourceDictInstance
|
||||
from unilabos.ros.nodes.resource_tracker import ResourceTreeSet
|
||||
from unilabos.utils.type_check import get_result_info_str
|
||||
|
||||
if TYPE_CHECKING:
|
||||
@@ -47,7 +47,7 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
|
||||
def __init__(
|
||||
self,
|
||||
protocol_type: List[str],
|
||||
children: List[ResourceDictInstance],
|
||||
children: Dict[str, Any],
|
||||
*,
|
||||
driver_instance: "WorkstationBase",
|
||||
device_id: str,
|
||||
@@ -81,11 +81,10 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
|
||||
# 初始化子设备
|
||||
self.communication_node_id_to_instance = {}
|
||||
|
||||
for device_config in self.children:
|
||||
device_id = device_config.res_content.id
|
||||
if device_config.res_content.type != "device":
|
||||
for device_id, device_config in self.children.items():
|
||||
if device_config.get("type", "device") != "device":
|
||||
self.lab_logger().debug(
|
||||
f"[Protocol Node] Skipping type {device_config.res_content.type} {device_id} already existed, skipping."
|
||||
f"[Protocol Node] Skipping type {device_config['type']} {device_id} already existed, skipping."
|
||||
)
|
||||
continue
|
||||
try:
|
||||
@@ -102,9 +101,8 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
|
||||
self.communication_node_id_to_instance[device_id] = d
|
||||
continue
|
||||
|
||||
for device_config in self.children:
|
||||
device_id = device_config.res_content.id
|
||||
if device_config.res_content.type != "device":
|
||||
for device_id, device_config in self.children.items():
|
||||
if device_config.get("type", "device") != "device":
|
||||
continue
|
||||
# 设置硬件接口代理
|
||||
if device_id not in self.sub_devices:
|
||||
|
||||
@@ -1,11 +1,9 @@
|
||||
import inspect
|
||||
import traceback
|
||||
import uuid
|
||||
from pydantic import BaseModel, field_serializer, field_validator
|
||||
from pydantic import Field
|
||||
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
|
||||
|
||||
if TYPE_CHECKING:
|
||||
@@ -64,6 +62,7 @@ class ResourceDict(BaseModel):
|
||||
parent: Optional["ResourceDict"] = Field(description="Parent resource object", default=None, exclude=True)
|
||||
type: Union[Literal["device"], str] = Field(description="Resource type")
|
||||
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)
|
||||
config: Dict[str, Any] = Field(description="Resource configuration")
|
||||
data: Dict[str, Any] = Field(description="Resource data")
|
||||
@@ -147,16 +146,15 @@ class ResourceDictInstance(object):
|
||||
if not content.get("extra"): # MagicCode
|
||||
content["extra"] = {}
|
||||
if "pose" not in content:
|
||||
content["pose"] = content.pop("position", {})
|
||||
content["pose"] = content.get("position", {})
|
||||
return ResourceDictInstance(ResourceDict.model_validate(content))
|
||||
|
||||
def get_plr_nested_dict(self) -> Dict[str, Any]:
|
||||
def get_nested_dict(self) -> Dict[str, Any]:
|
||||
"""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["children"] = {child.res_content.id: child.get_plr_nested_dict() for child in self.children}
|
||||
res_dict["children"] = {child.res_content.id: child.get_nested_dict() for child in self.children}
|
||||
res_dict["parent"] = self.res_content.parent_instance_name
|
||||
res_dict["position"] = self.res_content.pose.position.model_dump()
|
||||
del res_dict["pose"]
|
||||
res_dict["position"] = self.res_content.position.position.model_dump()
|
||||
return res_dict
|
||||
|
||||
|
||||
@@ -431,9 +429,9 @@ class ResourceTreeSet(object):
|
||||
Returns:
|
||||
List[PLRResource]: PLR 资源实例列表
|
||||
"""
|
||||
register()
|
||||
from pylabrobot.resources import Resource as PLRResource
|
||||
from pylabrobot.utils.object_parsing import find_subclass
|
||||
import inspect
|
||||
|
||||
# 类型映射
|
||||
TYPE_MAP = {"plate": "Plate", "well": "Well", "deck": "Deck", "container": "RegularContainer"}
|
||||
@@ -461,9 +459,9 @@ class ResourceTreeSet(object):
|
||||
"size_y": res.config.get("size_y", 0),
|
||||
"size_z": res.config.get("size_z", 0),
|
||||
"location": {
|
||||
"x": res.pose.position.x,
|
||||
"y": res.pose.position.y,
|
||||
"z": res.pose.position.z,
|
||||
"x": res.position.position.x,
|
||||
"y": res.position.position.y,
|
||||
"z": res.position.position.z,
|
||||
"type": "Coordinate",
|
||||
},
|
||||
"rotation": {"x": 0, "y": 0, "z": 0, "type": "Rotation"},
|
||||
|
||||
@@ -9,11 +9,10 @@ import asyncio
|
||||
import inspect
|
||||
import traceback
|
||||
from abc import abstractmethod
|
||||
from typing import Type, Any, Dict, Optional, TypeVar, Generic, List
|
||||
from typing import Type, Any, Dict, Optional, TypeVar, Generic
|
||||
|
||||
from unilabos.resources.graphio import nested_dict_to_list, resource_ulab_to_plr
|
||||
from unilabos.ros.nodes.resource_tracker import DeviceNodeResourceTracker, ResourceTreeSet, ResourceDictInstance, \
|
||||
ResourceTreeInstance
|
||||
from unilabos.ros.nodes.resource_tracker import DeviceNodeResourceTracker
|
||||
from unilabos.utils import logger, import_manager
|
||||
from unilabos.utils.cls_creator import create_instance_from_config
|
||||
|
||||
@@ -34,7 +33,7 @@ class DeviceClassCreator(Generic[T]):
|
||||
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: List[ResourceDictInstance], resource_tracker: DeviceNodeResourceTracker):
|
||||
def __init__(self, cls: Type[T], children: Dict[str, Any], resource_tracker: DeviceNodeResourceTracker):
|
||||
"""
|
||||
初始化设备类创建器
|
||||
|
||||
@@ -51,9 +50,9 @@ class DeviceClassCreator(Generic[T]):
|
||||
附加资源到设备类实例
|
||||
"""
|
||||
if self.device_instance is not None:
|
||||
for c in self.children:
|
||||
if c.res_content.type != "device":
|
||||
self.resource_tracker.add_resource(c.get_plr_nested_dict())
|
||||
for c in self.children.values():
|
||||
if c["type"] != "device":
|
||||
self.resource_tracker.add_resource(c)
|
||||
|
||||
def create_instance(self, data: Dict[str, Any]) -> T:
|
||||
"""
|
||||
@@ -95,7 +94,7 @@ 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。
|
||||
"""
|
||||
|
||||
def __init__(self, cls: Type[T], children: List[ResourceDictInstance], resource_tracker: DeviceNodeResourceTracker):
|
||||
def __init__(self, cls: Type[T], children: Dict[str, Any], resource_tracker: DeviceNodeResourceTracker):
|
||||
"""
|
||||
初始化PyLabRobot设备类创建器
|
||||
|
||||
@@ -112,12 +111,12 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
|
||||
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
|
||||
|
||||
# def _process_resource_mapping(self, resource, source_type):
|
||||
# if source_type == dict:
|
||||
# from pylabrobot.resources.resource import Resource
|
||||
#
|
||||
# return nested_dict_to_list(resource), Resource
|
||||
# return resource, source_type
|
||||
def _process_resource_mapping(self, resource, source_type):
|
||||
if source_type == dict:
|
||||
from pylabrobot.resources.resource import Resource
|
||||
|
||||
return nested_dict_to_list(resource), Resource
|
||||
return resource, source_type
|
||||
|
||||
def _process_resource_references(
|
||||
self, data: Any, to_dict=False, states=None, prefix_path="", name_to_uuid=None
|
||||
@@ -143,21 +142,15 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
|
||||
if isinstance(data, dict):
|
||||
if "_resource_child_name" in data:
|
||||
child_name = data["_resource_child_name"]
|
||||
resource: Optional[ResourceDictInstance] = None
|
||||
for child in self.children:
|
||||
if child.res_content.name == child_name:
|
||||
resource = child
|
||||
if resource is not None:
|
||||
if child_name in self.children:
|
||||
resource = self.children[child_name]
|
||||
if "_resource_type" in data:
|
||||
type_path = data["_resource_type"]
|
||||
try:
|
||||
# target_type = import_manager.get_class(type_path)
|
||||
# contain_model = not issubclass(target_type, Deck)
|
||||
# resource, target_type = self._process_resource_mapping(resource, target_type)
|
||||
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
|
||||
target_type = import_manager.get_class(type_path)
|
||||
contain_model = not issubclass(target_type, Deck)
|
||||
resource, target_type = self._process_resource_mapping(resource, target_type)
|
||||
resource_instance: Resource = resource_ulab_to_plr(resource, contain_model) # 带state
|
||||
states[prefix_path] = resource_instance.serialize_all_state()
|
||||
# 使用 prefix_path 作为 key 存储资源状态
|
||||
if to_dict:
|
||||
@@ -209,12 +202,12 @@ class PyLabRobotCreator(DeviceClassCreator[T]):
|
||||
stack = None
|
||||
|
||||
# 递归遍历 children 构建 name_to_uuid 映射
|
||||
def collect_name_to_uuid(children_list: List[ResourceDictInstance], result: Dict[str, str]):
|
||||
def collect_name_to_uuid(children_dict: Dict[str, Any], result: Dict[str, str]):
|
||||
"""递归遍历嵌套的 children 字典,收集 name 到 uuid 的映射"""
|
||||
for child in children_list:
|
||||
if isinstance(child, ResourceDictInstance):
|
||||
result[child.res_content.name] = child.res_content.uuid
|
||||
collect_name_to_uuid(child.children, result)
|
||||
for child in children_dict.values():
|
||||
if isinstance(child, dict):
|
||||
result[child["name"]] = child["uuid"]
|
||||
collect_name_to_uuid(child["children"], result)
|
||||
|
||||
name_to_uuid = {}
|
||||
collect_name_to_uuid(self.children, name_to_uuid)
|
||||
@@ -320,7 +313,7 @@ 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。
|
||||
"""
|
||||
|
||||
def __init__(self, cls: Type[T], children: List[ResourceDictInstance], resource_tracker: DeviceNodeResourceTracker):
|
||||
def __init__(self, cls: Type[T], children: Dict[str, Any], resource_tracker: DeviceNodeResourceTracker):
|
||||
"""
|
||||
初始化WorkstationNode设备类创建器
|
||||
|
||||
@@ -343,9 +336,9 @@ class WorkstationNodeCreator(DeviceClassCreator[T]):
|
||||
try:
|
||||
# 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
|
||||
for child in self.children:
|
||||
if child.res_content.type != "device":
|
||||
self.resource_tracker.add_resource(child.get_plr_nested_dict())
|
||||
for material_id, child in self.children.items():
|
||||
if child["type"] != "device":
|
||||
self.resource_tracker.add_resource(self.children[material_id])
|
||||
deck_dict = data.get("deck")
|
||||
if deck_dict:
|
||||
from pylabrobot.resources import Deck, Resource
|
||||
|
||||
@@ -9,7 +9,7 @@ if str(ROOT_DIR) not in sys.path:
|
||||
|
||||
import pytest
|
||||
|
||||
from unilabos.workflow.common import build_protocol_graph, draw_protocol_graph, draw_protocol_graph_with_ports
|
||||
from scripts.workflow import build_protocol_graph, draw_protocol_graph, draw_protocol_graph_with_ports
|
||||
|
||||
|
||||
ROOT_DIR = Path(__file__).resolve().parents[2]
|
||||
|
||||
@@ -124,14 +124,11 @@ class ColoredFormatter(logging.Formatter):
|
||||
def _format_basic(self, record):
|
||||
"""基本格式化,不包含颜色"""
|
||||
datetime_str = datetime.fromtimestamp(record.created).strftime("%y-%m-%d [%H:%M:%S,%f")[:-3] + "]"
|
||||
filename = record.filename.replace(".py", "").split("\\")[-1] # 提取文件名(不含路径和扩展名)
|
||||
if "/" in filename:
|
||||
filename = filename.split("/")[-1]
|
||||
filename = os.path.basename(record.filename).rsplit(".", 1)[0] # 提取文件名(不含路径和扩展名)
|
||||
module_path = f"{record.name}.{filename}"
|
||||
func_line = f"{record.funcName}:{record.lineno}"
|
||||
right_info = f" [{func_line}] [{module_path}]"
|
||||
|
||||
formatted_message = f"{datetime_str} [{record.levelname}] {record.getMessage()}{right_info}"
|
||||
formatted_message = f"{datetime_str} [{record.levelname}] [{module_path}] [{func_line}]: {record.getMessage()}"
|
||||
|
||||
if record.exc_info:
|
||||
exc_text = self.formatException(record.exc_info)
|
||||
@@ -153,7 +150,7 @@ class ColoredFormatter(logging.Formatter):
|
||||
|
||||
|
||||
# 配置日志处理器
|
||||
def configure_logger(loglevel=None, working_dir=None):
|
||||
def configure_logger(loglevel=None):
|
||||
"""配置日志记录器
|
||||
|
||||
Args:
|
||||
@@ -162,9 +159,8 @@ def configure_logger(loglevel=None, working_dir=None):
|
||||
"""
|
||||
# 获取根日志记录器
|
||||
root_logger = logging.getLogger()
|
||||
root_logger.setLevel(TRACE_LEVEL)
|
||||
|
||||
# 设置日志级别
|
||||
numeric_level = logging.DEBUG
|
||||
if loglevel is not None:
|
||||
if isinstance(loglevel, str):
|
||||
# 将字符串转换为logging级别
|
||||
@@ -174,8 +170,12 @@ def configure_logger(loglevel=None, working_dir=None):
|
||||
numeric_level = getattr(logging, loglevel.upper(), None)
|
||||
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")
|
||||
numeric_level = logging.DEBUG
|
||||
else:
|
||||
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
|
||||
for handler in root_logger.handlers[:]:
|
||||
@@ -183,7 +183,7 @@ def configure_logger(loglevel=None, working_dir=None):
|
||||
|
||||
# 创建控制台处理器
|
||||
console_handler = logging.StreamHandler()
|
||||
console_handler.setLevel(numeric_level) # 使用与根记录器相同的级别
|
||||
console_handler.setLevel(root_logger.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
|
||||
color_formatter = ColoredFormatter()
|
||||
@@ -191,30 +191,9 @@ def configure_logger(loglevel=None, working_dir=None):
|
||||
|
||||
# 添加处理器到根日志记录器
|
||||
root_logger.addHandler(console_handler)
|
||||
|
||||
# 如果指定了工作目录,添加文件处理器
|
||||
if working_dir is not None:
|
||||
logs_dir = os.path.join(working_dir, "logs")
|
||||
os.makedirs(logs_dir, exist_ok=True)
|
||||
|
||||
# 生成日志文件名:日期 时间.log
|
||||
log_filename = datetime.now().strftime("%Y-%m-%d %H-%M-%S") + ".log"
|
||||
log_filepath = os.path.join(logs_dir, log_filename)
|
||||
|
||||
# 创建文件处理器
|
||||
file_handler = logging.FileHandler(log_filepath, encoding="utf-8")
|
||||
file_handler.setLevel(TRACE_LEVEL)
|
||||
|
||||
# 使用不带颜色的格式化器
|
||||
file_formatter = ColoredFormatter(use_colors=False)
|
||||
file_handler.setFormatter(file_formatter)
|
||||
|
||||
root_logger.addHandler(file_handler)
|
||||
|
||||
logging.getLogger("asyncio").setLevel(logging.INFO)
|
||||
logging.getLogger("urllib3").setLevel(logging.INFO)
|
||||
|
||||
|
||||
# 配置日志系统
|
||||
configure_logger()
|
||||
|
||||
|
||||
@@ -1,484 +0,0 @@
|
||||
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 compass(n/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 compass(e.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())))
|
||||
@@ -1,24 +0,0 @@
|
||||
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",
|
||||
)
|
||||
@@ -1,241 +0,0 @@
|
||||
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
|
||||
@@ -1,131 +0,0 @@
|
||||
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}
|
||||
@@ -2,7 +2,7 @@
|
||||
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
|
||||
<package format="3">
|
||||
<name>unilabos_msgs</name>
|
||||
<version>0.10.12</version>
|
||||
<version>0.10.11</version>
|
||||
<description>ROS2 Messages package for unilabos devices</description>
|
||||
<maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer>
|
||||
<maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer>
|
||||
|
||||
Reference in New Issue
Block a user