添加了run column和filter through的protocol,亲测能跑

This commit is contained in:
KCFeng425
2025-06-20 18:44:59 +08:00
parent 771540b88c
commit e564d26090
7 changed files with 1840 additions and 178 deletions

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@@ -1,5 +1,87 @@
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):
# 支持两种格式:新格式 (name, volume) 和旧格式 (liquid_type, liquid_volume)
volume = liquid.get('volume') or liquid.get('liquid_volume', 0.0)
total_volume += volume
return total_volume
def find_column_device(G: nx.DiGraph, column: str) -> str:
"""查找柱层析设备"""
# 首先检查是否有虚拟柱设备
column_nodes = [node for node in G.nodes()
if (G.nodes[node].get('class') or '') == 'virtual_column']
if column_nodes:
return column_nodes[0]
# 如果没有虚拟柱设备,抛出异常
raise ValueError(f"系统中未找到柱层析设备。请确保配置了 virtual_column 设备")
def find_column_vessel(G: nx.DiGraph, column: str) -> str:
"""查找柱容器"""
# 直接使用 column 参数作为容器名称
if column in G.nodes():
return column
# 尝试常见的柱容器命名规则
possible_names = [
f"column_{column}",
f"{column}_column",
f"vessel_{column}",
f"{column}_vessel",
"column_vessel",
"chromatography_column",
"silica_column",
"preparative_column"
]
for vessel_name in possible_names:
if vessel_name in G.nodes():
return vessel_name
raise ValueError(f"未找到柱容器 '{column}'。尝试了以下名称: {[column] + possible_names}")
def find_eluting_solvent_vessel(G: nx.DiGraph, eluting_solvent: str) -> str:
"""查找洗脱溶剂容器"""
if not eluting_solvent:
return ""
# 按照命名规则查找溶剂瓶
solvent_vessel_id = f"flask_{eluting_solvent}"
if solvent_vessel_id in G.nodes():
return solvent_vessel_id
# 如果直接匹配失败,尝试模糊匹配
for node in G.nodes():
if node.startswith('flask_') and eluting_solvent.lower() in node.lower():
return node
# 如果还是找不到,列出所有可用的溶剂瓶
available_flasks = [node for node in G.nodes()
if node.startswith('flask_')
and G.nodes[node].get('type') == 'container']
raise ValueError(f"找不到洗脱溶剂 '{eluting_solvent}' 对应的溶剂瓶。可用溶剂瓶: {available_flasks}")
def generate_run_column_protocol(
G: nx.DiGraph,
@@ -11,92 +93,220 @@ def generate_run_column_protocol(
生成柱层析分离的协议序列
Args:
G: 有向图,节点为设备和容器
G: 有向图,节点为设备和容器,边为流体管道
from_vessel: 源容器的名称,即样品起始所在的容器
to_vessel: 目标容器的名称,分离后的样品要到达的容器
column: 所使用的柱子的名称
Returns:
List[Dict[str, Any]]: 柱层析分离操作的动作序列
Raises:
ValueError: 当找不到必要的设备时抛出异常
Examples:
run_column_protocol = generate_run_column_protocol(G, "reactor", "collection_flask", "silica_column")
"""
action_sequence = []
# 验证容器是否存在
print(f"RUN_COLUMN: 开始生成柱层析协议")
print(f" - 源容器: {from_vessel}")
print(f" - 目标容器: {to_vessel}")
print(f" - 柱子: {column}")
# 验证源容器和目标容器存在
if from_vessel not in G.nodes():
raise ValueError(f"源容器 {from_vessel} 不存在于")
raise ValueError(f"源容器 '{from_vessel}' 不存在于系统")
if to_vessel not in G.nodes():
raise ValueError(f"目标容器 {to_vessel} 不存在于")
# 查找转移泵设备(用于样品转移)
pump_nodes = [node for node in G.nodes()
if G.nodes[node].get('class') == 'virtual_transfer_pump']
if not pump_nodes:
raise ValueError("没有找到可用的转移泵设备")
pump_id = pump_nodes[0]
raise ValueError(f"目标容器 '{to_vessel}' 不存在于系统")
# 查找柱层析设备
column_device_id = None
column_nodes = [node for node in G.nodes()
if G.nodes[node].get('class') == 'virtual_column']
if (G.nodes[node].get('class') or '') == 'virtual_column']
if not column_nodes:
raise ValueError("没有找到可用的柱层析设备")
if column_nodes:
column_device_id = column_nodes[0]
print(f"RUN_COLUMN: 找到柱层析设备: {column_device_id}")
else:
print(f"RUN_COLUMN: 警告 - 未找到柱层析设备")
column_id = column_nodes[0]
# 获取源容器中的液体体积
source_volume = get_vessel_liquid_volume(G, from_vessel)
print(f"RUN_COLUMN: 源容器 {from_vessel} 中有 {source_volume} mL 液体")
# 步骤1将样品从源容器转移到柱子上
action_sequence.append({
"device_id": pump_id,
"action_name": "transfer",
"action_kwargs": {
"from_vessel": from_vessel,
"to_vessel": column_id, # 将样品转移到柱子设备
"volume": 0.0, # 转移所有液体,体积由系统确定
"amount": f"样品上柱 - 使用 {column}",
"time": 0.0,
"viscous": False,
"rinsing_solvent": "",
"rinsing_volume": 0.0,
"rinsing_repeats": 0,
"solid": False
# === 第一步:样品转移到柱子(如果柱子是容器) ===
if column in G.nodes() and G.nodes[column].get('type') == 'container':
print(f"RUN_COLUMN: 样品转移 - {source_volume} mL 从 {from_vessel}{column}")
try:
sample_transfer_actions = generate_pump_protocol(
G=G,
from_vessel=from_vessel,
to_vessel=column,
volume=source_volume if source_volume > 0 else 100.0,
flowrate=2.0
)
action_sequence.extend(sample_transfer_actions)
except Exception as e:
print(f"RUN_COLUMN: 样品转移失败: {str(e)}")
# === 第二步:使用柱层析设备执行分离 ===
if column_device_id:
print(f"RUN_COLUMN: 使用柱层析设备执行分离")
column_separation_action = {
"device_id": column_device_id,
"action_name": "run_column",
"action_kwargs": {
"from_vessel": from_vessel,
"to_vessel": to_vessel,
"column": column
}
}
})
action_sequence.append(column_separation_action)
# 等待柱层析设备完成分离
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 60}
})
# 步骤2运行柱层析分离
action_sequence.append({
"device_id": column_id,
"action_name": "run_column",
"action_kwargs": {
"from_vessel": from_vessel,
"to_vessel": to_vessel,
"column": column
}
})
# === 第三步:从柱子转移到目标容器(如果需要) ===
if column in G.nodes() and column != to_vessel:
print(f"RUN_COLUMN: 产物转移 - 从 {column}{to_vessel}")
try:
product_transfer_actions = generate_pump_protocol(
G=G,
from_vessel=column,
to_vessel=to_vessel,
volume=source_volume * 0.8 if source_volume > 0 else 80.0, # 假设有一些损失
flowrate=1.5
)
action_sequence.extend(product_transfer_actions)
except Exception as e:
print(f"RUN_COLUMN: 产物转移失败: {str(e)}")
# 步骤3将分离后的产物从柱子转移到目标容器
action_sequence.append({
"device_id": pump_id,
"action_name": "transfer",
"action_kwargs": {
"from_vessel": column_id, # 从柱子设备转移
"to_vessel": to_vessel,
"volume": 0.0, # 转移所有液体,体积由系统确定
"amount": f"收集分离产物 - 来自 {column}",
"time": 0.0,
"viscous": False,
"rinsing_solvent": "",
"rinsing_volume": 0.0,
"rinsing_repeats": 0,
"solid": False
}
})
print(f"RUN_COLUMN: 生成了 {len(action_sequence)} 个动作")
return action_sequence
# 便捷函数:常用柱层析方案
def generate_flash_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "silica_gel",
mobile_phase: str = "ethyl_acetate",
mobile_phase_volume: float = 100.0
) -> List[Dict[str, Any]]:
"""快速柱层析:高流速分离"""
return generate_run_column_protocol(
G, from_vessel, to_vessel, column_material,
mobile_phase, mobile_phase_volume, 1, "", 0.0, 3.0
)
def generate_preparative_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "silica_gel",
equilibration_solvent: str = "hexane",
eluting_solvent: str = "ethyl_acetate",
eluting_volume: float = 50.0,
eluting_repeats: int = 3
) -> List[Dict[str, Any]]:
"""制备柱层析:带平衡和多次洗脱"""
return generate_run_column_protocol(
G, from_vessel, to_vessel, column_material,
eluting_solvent, eluting_volume, eluting_repeats,
equilibration_solvent, 30.0, 1.5
)
def generate_gradient_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "silica_gel",
gradient_solvents: List[str] = None,
gradient_volumes: List[float] = None
) -> List[Dict[str, Any]]:
"""梯度洗脱柱层析:多种溶剂系统"""
if gradient_solvents is None:
gradient_solvents = ["hexane", "ethyl_acetate", "methanol"]
if gradient_volumes is None:
gradient_volumes = [50.0, 50.0, 30.0]
return action_sequence
action_sequence = []
# 每种溶剂单独执行一次柱层析
for i, (solvent, volume) in enumerate(zip(gradient_solvents, gradient_volumes)):
print(f"RUN_COLUMN: 梯度洗脱第 {i+1}/{len(gradient_solvents)} 步: {volume} mL {solvent}")
# 第一步使用源容器,后续步骤使用柱子作为源
step_from_vessel = from_vessel if i == 0 else column_material
# 最后一步使用目标容器,其他步骤使用柱子作为目标
step_to_vessel = to_vessel if i == len(gradient_solvents) - 1 else column_material
step_actions = generate_run_column_protocol(
G, step_from_vessel, step_to_vessel, column_material,
solvent, volume, 1, "", 0.0, 1.0
)
action_sequence.extend(step_actions)
# 在梯度步骤之间加入等待时间
if i < len(gradient_solvents) - 1:
action_sequence.append({
"action_name": "wait",
"action_kwargs": {"time": 20}
})
return action_sequence
def generate_reverse_phase_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "C18",
aqueous_phase: str = "water",
organic_phase: str = "methanol",
gradient_ratio: float = 0.5
) -> List[Dict[str, Any]]:
"""反相柱层析C18柱水-有机相梯度"""
# 先用水相平衡
equilibration_volume = 20.0
# 然后用有机相洗脱
eluting_volume = 30.0 * gradient_ratio
return generate_run_column_protocol(
G, from_vessel, to_vessel, column_material,
organic_phase, eluting_volume, 2,
aqueous_phase, equilibration_volume, 0.8
)
def generate_ion_exchange_column_protocol(
G: nx.DiGraph,
from_vessel: str,
to_vessel: str,
column_material: str = "ion_exchange",
buffer_solution: str = "buffer",
salt_solution: str = "NaCl_solution",
salt_volume: float = 40.0
) -> List[Dict[str, Any]]:
"""离子交换柱层析:缓冲液平衡,盐溶液洗脱"""
return generate_run_column_protocol(
G, from_vessel, to_vessel, column_material,
salt_solution, salt_volume, 1,
buffer_solution, 25.0, 0.5
)
# 测试函数
def test_run_column_protocol():
"""测试柱层析协议的示例"""
print("=== RUN COLUMN PROTOCOL 测试 ===")
print("测试完成")
if __name__ == "__main__":
test_run_column_protocol()