修复了很多protocol,亲测能跑

This commit is contained in:
KCFeng425
2025-06-19 20:25:07 +08:00
parent 622edbde1e
commit 771540b88c
30 changed files with 7477 additions and 1428 deletions

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@@ -1,5 +1,59 @@
from typing import List, Dict, Any
import networkx as nx
from .pump_protocol import generate_pump_protocol
def get_vessel_liquid_volume(G: nx.DiGraph, vessel: str) -> float:
"""
获取容器中的液体体积
"""
if vessel not in G.nodes():
return 0.0
vessel_data = G.nodes[vessel].get('data', {})
liquids = vessel_data.get('liquid', [])
total_volume = 0.0
for liquid in liquids:
if isinstance(liquid, dict) and 'liquid_volume' in liquid:
total_volume += liquid['liquid_volume']
return total_volume
def find_centrifuge_device(G: nx.DiGraph) -> str:
"""
查找离心机设备
"""
centrifuge_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_centrifuge']
if centrifuge_nodes:
return centrifuge_nodes[0]
raise ValueError("系统中未找到离心机设备")
def find_centrifuge_vessel(G: nx.DiGraph) -> str:
"""
查找离心机专用容器
"""
possible_names = [
"centrifuge_tube",
"centrifuge_vessel",
"tube_centrifuge",
"vessel_centrifuge",
"centrifuge",
"tube_15ml",
"tube_50ml"
]
for vessel_name in possible_names:
if vessel_name in G.nodes():
return vessel_name
raise ValueError(f"未找到离心机容器。尝试了以下名称: {possible_names}")
def generate_centrifuge_protocol(
G: nx.DiGraph,
@@ -9,115 +63,223 @@ def generate_centrifuge_protocol(
temp: float = 25.0
) -> List[Dict[str, Any]]:
"""
生成离心操作的协议序列
生成离心操作的协议序列,复用 pump_protocol 的成熟算法
离心流程:
1. 液体转移:将待离心溶液从源容器转移到离心机容器
2. 离心操作:执行离心分离
3. 上清液转移:将离心后的上清液转移回原容器或新容器
4. 沉淀处理:处理离心沉淀(可选)
Args:
G: 有向图,节点为设备和容器
vessel: 离心容器名称
G: 有向图,节点为设备和容器,边为流体管道
vessel: 包含待离心溶液的容器名称
speed: 离心速度 (rpm)
time: 离心时间 (秒)
temp: 温度 (摄氏度,可选)
temp: 离心温度 (°C)默认25°C
Returns:
List[Dict[str, Any]]: 离心操作的动作序列
Raises:
ValueError: 当找不到离心机设备时抛出异常
ValueError: 当找不到必要的设备时抛出异常
Examples:
centrifuge_protocol = generate_centrifuge_protocol(G, "reactor", 5000, 300, 4.0)
centrifuge_actions = generate_centrifuge_protocol(G, "reaction_mixture", 5000, 600, 4.0)
"""
action_sequence = []
# 查找离心机设备
centrifuge_nodes = [node for node in G.nodes()
if G.nodes[node].get('class') == 'virtual_centrifuge']
print(f"CENTRIFUGE: 开始生成离心协议")
print(f" - 源容器: {vessel}")
print(f" - 离心速度: {speed} rpm")
print(f" - 离心时间: {time}s ({time/60:.1f}分钟)")
print(f" - 离心温度: {temp}°C")
if not centrifuge_nodes:
raise ValueError("没有找到可用的离心机设备")
# 使用第一个可用的离心机
centrifuge_id = centrifuge_nodes[0]
# 验证容器是否存在
# 验证源容器存在
if vessel not in G.nodes():
raise ValueError(f"容器 {vessel} 不存在于")
raise ValueError(f"容器 '{vessel}' 不存在于系统")
# 执行离心操作
action_sequence.append({
# 获取源容器中的液体体积
source_volume = get_vessel_liquid_volume(G, vessel)
print(f"CENTRIFUGE: 源容器 {vessel} 中有 {source_volume} mL 液体")
# 查找离心机设备
try:
centrifuge_id = find_centrifuge_device(G)
print(f"CENTRIFUGE: 找到离心机: {centrifuge_id}")
except ValueError as e:
raise ValueError(f"无法找到离心机: {str(e)}")
# 查找离心机容器
try:
centrifuge_vessel = find_centrifuge_vessel(G)
print(f"CENTRIFUGE: 找到离心机容器: {centrifuge_vessel}")
except ValueError as e:
raise ValueError(f"无法找到离心机容器: {str(e)}")
# === 简化的体积计算策略 ===
if source_volume > 0:
# 如果能检测到液体体积,使用实际体积的大部分
transfer_volume = min(source_volume * 0.9, 15.0) # 90%或最多15mL离心管通常较小
print(f"CENTRIFUGE: 检测到液体体积,将转移 {transfer_volume} mL")
else:
# 如果检测不到液体体积,默认转移标准量
transfer_volume = 10.0 # 标准离心管体积
print(f"CENTRIFUGE: 未检测到液体体积,默认转移 {transfer_volume} mL")
# === 第一步:将待离心溶液转移到离心机容器 ===
print(f"CENTRIFUGE: 将 {transfer_volume} mL 溶液从 {vessel} 转移到 {centrifuge_vessel}")
try:
# 使用成熟的 pump_protocol 算法进行液体转移
transfer_to_centrifuge_actions = generate_pump_protocol(
G=G,
from_vessel=vessel,
to_vessel=centrifuge_vessel,
volume=transfer_volume,
flowrate=1.0, # 离心转移用慢速,避免气泡
transfer_flowrate=1.0
)
action_sequence.extend(transfer_to_centrifuge_actions)
except Exception as e:
raise ValueError(f"无法将溶液转移到离心机: {str(e)}")
# 转移后等待
wait_action = {
"action_name": "wait",
"action_kwargs": {"time": 5}
}
action_sequence.append(wait_action)
# === 第二步:执行离心操作 ===
print(f"CENTRIFUGE: 执行离心操作")
centrifuge_action = {
"device_id": centrifuge_id,
"action_name": "centrifuge",
"action_kwargs": {
"vessel": vessel,
"vessel": centrifuge_vessel,
"speed": speed,
"time": time,
"temp": temp
}
})
}
action_sequence.append(centrifuge_action)
# 离心后等待系统稳定
wait_action = {
"action_name": "wait",
"action_kwargs": {"time": 10} # 离心后等待稍长,让沉淀稳定
}
action_sequence.append(wait_action)
# === 第三步:将上清液转移回原容器 ===
print(f"CENTRIFUGE: 将上清液从离心机转移回 {vessel}")
try:
# 估算上清液体积约为转移体积的80% - 假设20%成为沉淀)
supernatant_volume = transfer_volume * 0.8
print(f"CENTRIFUGE: 预计上清液体积 {supernatant_volume} mL")
transfer_back_actions = generate_pump_protocol(
G=G,
from_vessel=centrifuge_vessel,
to_vessel=vessel,
volume=supernatant_volume,
flowrate=0.5, # 上清液转移更慢,避免扰动沉淀
transfer_flowrate=0.5
)
action_sequence.extend(transfer_back_actions)
except Exception as e:
print(f"CENTRIFUGE: 将上清液转移回容器失败: {str(e)}")
# === 第四步:清洗离心机容器 ===
print(f"CENTRIFUGE: 清洗离心机容器")
try:
# 查找清洗溶剂
cleaning_solvent = None
for solvent in ["flask_water", "flask_ethanol", "flask_acetone"]:
if solvent in G.nodes():
cleaning_solvent = solvent
break
if cleaning_solvent:
# 用少量溶剂清洗离心管
cleaning_volume = 5.0 # 5mL清洗
print(f"CENTRIFUGE: 用 {cleaning_volume} mL {cleaning_solvent} 清洗")
# 清洗溶剂加入
cleaning_actions = generate_pump_protocol(
G=G,
from_vessel=cleaning_solvent,
to_vessel=centrifuge_vessel,
volume=cleaning_volume,
flowrate=2.0,
transfer_flowrate=2.0
)
action_sequence.extend(cleaning_actions)
# 将清洗液转移到废液
if "waste_workup" in G.nodes():
waste_actions = generate_pump_protocol(
G=G,
from_vessel=centrifuge_vessel,
to_vessel="waste_workup",
volume=cleaning_volume,
flowrate=2.0,
transfer_flowrate=2.0
)
action_sequence.extend(waste_actions)
except Exception as e:
print(f"CENTRIFUGE: 清洗步骤失败: {str(e)}")
print(f"CENTRIFUGE: 生成了 {len(action_sequence)} 个动作")
print(f"CENTRIFUGE: 离心协议生成完成")
print(f"CENTRIFUGE: 总处理体积: {transfer_volume} mL")
return action_sequence
def generate_multi_step_centrifuge_protocol(
# 便捷函数:常用离心方案
def generate_low_speed_centrifuge_protocol(
G: nx.DiGraph,
vessel: str,
steps: List[Dict[str, Any]]
time: float = 300.0 # 5分钟
) -> List[Dict[str, Any]]:
"""
生成多步骤离心操作的协议序列
Args:
G: 有向图,节点为设备和容器
vessel: 离心容器名称
steps: 离心步骤列表,每个步骤包含 speed, time, temp 参数
Returns:
List[Dict[str, Any]]: 多步骤离心操作的动作序列
Examples:
steps = [
{"speed": 1000, "time": 60, "temp": 4.0}, # 低速预离心
{"speed": 12000, "time": 600, "temp": 4.0} # 高速离心
]
protocol = generate_multi_step_centrifuge_protocol(G, "reactor", steps)
"""
action_sequence = []
# 查找离心机设备
centrifuge_nodes = [node for node in G.nodes()
if G.nodes[node].get('class') == 'virtual_centrifuge']
if not centrifuge_nodes:
raise ValueError("没有找到可用的离心机设备")
centrifuge_id = centrifuge_nodes[0]
# 验证容器是否存在
if vessel not in G.nodes():
raise ValueError(f"容器 {vessel} 不存在于图中")
# 执行每个离心步骤
for i, step in enumerate(steps):
speed = step.get('speed', 5000)
time = step.get('time', 300)
temp = step.get('temp', 25.0)
action_sequence.append({
"device_id": centrifuge_id,
"action_name": "centrifuge",
"action_kwargs": {
"vessel": vessel,
"speed": speed,
"time": time,
"temp": temp
}
})
# 步骤间等待时间(除了最后一步)
if i < len(steps) - 1:
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 3}
})
return action_sequence
"""低速离心:细胞分离或大颗粒沉淀"""
return generate_centrifuge_protocol(G, vessel, 1000.0, time, 4.0)
def generate_high_speed_centrifuge_protocol(
G: nx.DiGraph,
vessel: str,
time: float = 600.0 # 10分钟
) -> List[Dict[str, Any]]:
"""高速离心:蛋白质沉淀或小颗粒分离"""
return generate_centrifuge_protocol(G, vessel, 12000.0, time, 4.0)
def generate_standard_centrifuge_protocol(
G: nx.DiGraph,
vessel: str,
time: float = 600.0 # 10分钟
) -> List[Dict[str, Any]]:
"""标准离心:常规样品处理"""
return generate_centrifuge_protocol(G, vessel, 5000.0, time, 25.0)
def generate_cold_centrifuge_protocol(
G: nx.DiGraph,
vessel: str,
speed: float = 5000.0,
time: float = 600.0
) -> List[Dict[str, Any]]:
"""冷冻离心:热敏感样品处理"""
return generate_centrifuge_protocol(G, vessel, speed, time, 4.0)
def generate_ultra_centrifuge_protocol(
G: nx.DiGraph,
vessel: str,
time: float = 1800.0 # 30分钟
) -> List[Dict[str, Any]]:
"""超高速离心:超细颗粒分离"""
return generate_centrifuge_protocol(G, vessel, 15000.0, time, 4.0)