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Uni-Lab-OS/unilabos/resources/warehouse.py

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from typing import Dict, Optional, List, Union
from pylabrobot.resources import Coordinate
from pylabrobot.resources.carrier import ResourceHolder, create_homogeneous_resources
from unilabos.resources.itemized_carrier import ItemizedCarrier, ResourcePLR
LETTERS = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
def warehouse_factory(
name: str,
num_items_x: int = 1,
num_items_y: int = 4,
num_items_z: int = 4,
dx: float = 137.0,
dy: float = 96.0,
dz: float = 120.0,
item_dx: float = 10.0,
item_dy: float = 10.0,
item_dz: float = 10.0,
resource_size_x: float = 127.0,
resource_size_y: float = 86.0,
resource_size_z: float = 25.0,
removed_positions: Optional[List[int]] = None,
empty: bool = False,
category: str = "warehouse",
model: Optional[str] = None,
col_offset: int = 0, # 列起始偏移量用于生成A05-D08等命名
layout: str = "col-major", # 新增:排序方式,"col-major"=列优先,"row-major"=行优先
):
# 创建位置坐标
locations = []
for layer in range(num_items_z): # 层
for row in range(num_items_y): # 行
for col in range(num_items_x): # 列
# 计算位置
x = dx + col * item_dx
# 根据 layout 决定 y 坐标计算
if layout == "row-major":
# 行优先row=0(A行) 应该显示在上方,需要较小的 y 值
y = dy + row * item_dy
else:
# 列优先保持原逻辑row=0 对应较大的 y
y = dy + (num_items_y - row - 1) * item_dy
z = dz + (num_items_z - layer - 1) * item_dz
locations.append(Coordinate(x, y, z))
if removed_positions:
locations = [loc for i, loc in enumerate(locations) if i not in removed_positions]
_sites = create_homogeneous_resources(
klass=ResourceHolder,
locations=locations,
resource_size_x=resource_size_x,
resource_size_y=resource_size_y,
resource_size_z=resource_size_z,
name_prefix=name,
)
len_x, len_y = (num_items_x, num_items_y) if num_items_z == 1 else (num_items_y, num_items_z) if num_items_x == 1 else (num_items_x, num_items_z)
# 根据 layout 参数生成不同的排序方式
# 注意:物理位置的 y 坐标是倒序的 (row=0 时 y 最大,对应前端显示的顶部)
if layout == "row-major":
# 行优先顺序: A01,A02,A03,A04, B01,B02,B03,B04
# locations[0] 对应 row=0, y最大前端顶部→ 应该是 A01
keys = [f"{LETTERS[j]}{i + 1 + col_offset:02d}" for j in range(len_y) for i in range(len_x)]
else:
# 列优先顺序: A01,B01,C01,D01, A02,B02,C02,D02
keys = [f"{LETTERS[j]}{i + 1 + col_offset:02d}" for i in range(len_x) for j in range(len_y)]
sites = {i: site for i, site in zip(keys, _sites.values())}
return WareHouse(
name=name,
size_x=dx + item_dx * num_items_x,
size_y=dy + item_dy * num_items_y,
size_z=dz + item_dz * num_items_z,
num_items_x = num_items_x,
num_items_y = num_items_y,
num_items_z = num_items_z,
ordering_layout=layout, # 传递排序方式到 ordering_layout
# ordered_items=ordered_items,
# ordering=ordering,
sites=sites,
category=category,
model=model,
)
class WareHouse(ItemizedCarrier):
"""堆栈载体类 - 可容纳16个板位的载体4层x4行x1列"""
def __init__(
self,
name: str,
size_x: float,
size_y: float,
size_z: float,
num_items_x: int,
num_items_y: int,
num_items_z: int,
layout: str = "x-y",
sites: Optional[Dict[Union[int, str], Optional[ResourcePLR]]] = None,
category: str = "warehouse",
model: Optional[str] = None,
ordering_layout: str = "col-major",
**kwargs
):
super().__init__(
name=name,
size_x=size_x,
size_y=size_y,
size_z=size_z,
# ordered_items=ordered_items,
# ordering=ordering,
num_items_x=num_items_x,
num_items_y=num_items_y,
num_items_z=num_items_z,
layout=layout,
sites=sites,
category=category,
model=model,
)
# 保存排序方式供graphio.py的坐标映射使用
# 使用独立属性避免与父类的layout冲突
self.ordering_layout = ordering_layout
def serialize(self) -> dict:
"""序列化时保存 ordering_layout 属性"""
data = super().serialize()
data['ordering_layout'] = self.ordering_layout
return data
def get_site_by_layer_position(self, row: int, col: int, layer: int) -> ResourceHolder:
if not (0 <= layer < 4 and 0 <= row < 4 and 0 <= col < 1):
raise ValueError("无效的位置: layer={}, row={}, col={}".format(layer, row, col))
site_index = layer * 4 + row * 1 + col
return self.sites[site_index]
def add_rack_to_position(self, row: int, col: int, layer: int, rack) -> None:
site = self.get_site_by_layer_position(row, col, layer)
site.assign_child_resource(rack)
def get_rack_at_position(self, row: int, col: int, layer: int):
site = self.get_site_by_layer_position(row, col, layer)
return site.resource