mirror of
https://github.com/deepmodeling/Uni-Lab-OS
synced 2026-03-26 01:13:11 +00:00
refactor: 14个协议编译器去重精简,删除死代码
- 统一debug_print为共享import,移除14个本地定义 - 移除重复工具函数(find_connected_stirrer, get_vessel_liquid_volume等) - 精简装饰性日志(emoji分隔线、进度提示),保留关键决策点 - 删除evacuateandrefill_protocol_old.py死代码 - 涉及文件:add, adjustph, clean_vessel, dissolve, dry, evacuateandrefill, evaporate, filter, pump, recrystallize, reset_handling, run_column, stir, wash_solid Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -1,14 +1,12 @@
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from functools import partial
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import networkx as nx
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import logging
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from typing import List, Dict, Any, Union
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from .utils.vessel_parser import get_vessel
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from .utils.vessel_parser import get_vessel, find_connected_stirrer
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from .utils.logger_util import action_log, debug_print
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from .pump_protocol import generate_pump_protocol_with_rinsing
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logger = logging.getLogger(__name__)
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def debug_print(message):
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"""调试输出"""
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logger.info(f"[ADJUST_PH] {message}")
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create_action_log = partial(action_log, prefix="[ADJUST_PH]")
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def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
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"""
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@@ -100,52 +98,11 @@ def find_acid_base_vessel(G: nx.DiGraph, reagent: str) -> str:
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return node_id
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# 列出可用容器帮助调试
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debug_print(f"📊 列出可用容器帮助调试...")
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available_containers = []
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for node_id in G.nodes():
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if G.nodes[node_id].get('type') == 'container':
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vessel_data = G.nodes[node_id].get('data', {})
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liquids = vessel_data.get('liquid', [])
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liquid_types = [liquid.get('liquid_type', '') or liquid.get('name', '')
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for liquid in liquids if isinstance(liquid, dict)]
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available_containers.append({
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'id': node_id,
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'name': G.nodes[node_id].get('name', ''),
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'liquids': liquid_types,
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'reagent_name': vessel_data.get('reagent_name', '')
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})
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debug_print(f"📋 可用容器列表:")
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for container in available_containers:
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debug_print(f" - 🧪 {container['id']}: {container['name']}")
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debug_print(f" 💧 液体: {container['liquids']}")
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debug_print(f" 🏷️ 试剂: {container['reagent_name']}")
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debug_print(f"❌ 所有匹配方法都失败了")
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available_containers = [node_id for node_id in G.nodes()
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if G.nodes[node_id].get('type') == 'container']
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debug_print(f"所有匹配方法失败,可用容器: {available_containers}")
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raise ValueError(f"找不到试剂 '{reagent}' 对应的容器。尝试了: {possible_names[:10]}...")
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def find_connected_stirrer(G: nx.DiGraph, vessel: str) -> str:
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"""查找与容器相连的搅拌器"""
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debug_print(f"🔍 查找连接到容器 '{vessel}' 的搅拌器...")
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stirrer_nodes = [node for node in G.nodes()
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if (G.nodes[node].get('class') or '') == 'virtual_stirrer']
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debug_print(f"📊 发现 {len(stirrer_nodes)} 个搅拌器: {stirrer_nodes}")
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for stirrer in stirrer_nodes:
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if G.has_edge(stirrer, vessel) or G.has_edge(vessel, stirrer):
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debug_print(f"✅ 找到连接的搅拌器: {stirrer} 🔗")
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return stirrer
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if stirrer_nodes:
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debug_print(f"⚠️ 未找到直接连接的搅拌器,使用第一个: {stirrer_nodes[0]} 🔄")
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return stirrer_nodes[0]
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debug_print(f"❌ 未找到任何搅拌器")
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return None
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def calculate_reagent_volume(target_ph_value: float, reagent: str, vessel_volume: float = 100.0) -> float:
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"""
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估算需要的试剂体积来调节pH
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@@ -158,44 +115,30 @@ def calculate_reagent_volume(target_ph_value: float, reagent: str, vessel_volume
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Returns:
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float: 估算的试剂体积 (mL)
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"""
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debug_print(f"🧮 计算试剂体积...")
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debug_print(f" 📍 目标pH: {target_ph_value}")
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debug_print(f" 🧪 试剂: {reagent}")
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debug_print(f" 📏 容器体积: {vessel_volume}mL")
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# 简化的pH调节体积估算(实际应用中需要更精确的计算)
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debug_print(f"计算试剂体积: pH={target_ph_value}, reagent={reagent}, vessel={vessel_volume}mL")
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# 简化的pH调节体积估算
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if "acid" in reagent.lower() or "hcl" in reagent.lower():
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debug_print(f"🍋 检测到酸性试剂")
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# 酸性试剂:pH越低需要的体积越大
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if target_ph_value < 3:
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volume = vessel_volume * 0.05 # 5%
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debug_print(f" 💪 强酸性 (pH<3): 使用 5% 体积")
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volume = vessel_volume * 0.05
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elif target_ph_value < 5:
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volume = vessel_volume * 0.02 # 2%
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debug_print(f" 🔸 中酸性 (pH<5): 使用 2% 体积")
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volume = vessel_volume * 0.02
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else:
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volume = vessel_volume * 0.01 # 1%
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debug_print(f" 🔹 弱酸性 (pH≥5): 使用 1% 体积")
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volume = vessel_volume * 0.01
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elif "hydroxide" in reagent.lower() or "naoh" in reagent.lower():
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debug_print(f"🧂 检测到碱性试剂")
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# 碱性试剂:pH越高需要的体积越大
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if target_ph_value > 11:
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volume = vessel_volume * 0.05 # 5%
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debug_print(f" 💪 强碱性 (pH>11): 使用 5% 体积")
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volume = vessel_volume * 0.05
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elif target_ph_value > 9:
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volume = vessel_volume * 0.02 # 2%
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debug_print(f" 🔸 中碱性 (pH>9): 使用 2% 体积")
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volume = vessel_volume * 0.02
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else:
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volume = vessel_volume * 0.01 # 1%
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debug_print(f" 🔹 弱碱性 (pH≤9): 使用 1% 体积")
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volume = vessel_volume * 0.01
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else:
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# 未知试剂,使用默认值
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volume = vessel_volume * 0.01
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debug_print(f"❓ 未知试剂类型,使用默认 1% 体积")
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debug_print(f"📊 计算结果: {volume:.2f}mL")
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debug_print(f"估算试剂体积: {volume:.2f}mL")
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return volume
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def generate_adjust_ph_protocol(
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@@ -220,96 +163,67 @@ def generate_adjust_ph_protocol(
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"""
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vessel_id, vessel_data = get_vessel(vessel)
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if not vessel_id:
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debug_print(f"❌ vessel 参数无效,必须包含id字段或直接提供容器ID. vessel: {vessel}")
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raise ValueError("vessel 参数无效,必须包含id字段或直接提供容器ID")
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debug_print("=" * 60)
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debug_print("🧪 开始生成pH调节协议")
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debug_print(f"📋 原始参数:")
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debug_print(f" 🥼 vessel: {vessel} (ID: {vessel_id})")
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debug_print(f" 📊 ph_value: {ph_value}")
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debug_print(f" 🧪 reagent: '{reagent}'")
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debug_print(f" 📦 kwargs: {kwargs}")
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debug_print("=" * 60)
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debug_print(f"开始生成pH调节协议: vessel={vessel_id}, ph={ph_value}, reagent='{reagent}'")
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action_sequence = []
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# 从kwargs中获取可选参数,如果没有则使用默认值
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volume = kwargs.get('volume', 0.0) # 自动估算体积
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stir = kwargs.get('stir', True) # 默认搅拌
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stir_speed = kwargs.get('stir_speed', 300.0) # 默认搅拌速度
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stir_time = kwargs.get('stir_time', 60.0) # 默认搅拌时间
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settling_time = kwargs.get('settling_time', 30.0) # 默认平衡时间
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debug_print(f"🔧 处理后的参数:")
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debug_print(f" 📏 volume: {volume}mL (0.0表示自动估算)")
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debug_print(f" 🌪️ stir: {stir}")
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debug_print(f" 🔄 stir_speed: {stir_speed}rpm")
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debug_print(f" ⏱️ stir_time: {stir_time}s")
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debug_print(f" ⏳ settling_time: {settling_time}s")
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# 从kwargs中获取可选参数
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volume = kwargs.get('volume', 0.0)
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stir = kwargs.get('stir', True)
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stir_speed = kwargs.get('stir_speed', 300.0)
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stir_time = kwargs.get('stir_time', 60.0)
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settling_time = kwargs.get('settling_time', 30.0)
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# 开始处理
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action_sequence.append(create_action_log(f"开始调节pH至 {ph_value}", "🧪"))
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action_sequence.append(create_action_log(f"目标容器: {vessel_id}", "🥼"))
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action_sequence.append(create_action_log(f"使用试剂: {reagent}", "⚗️"))
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# 1. 验证目标容器存在
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debug_print(f"🔍 步骤1: 验证目标容器...")
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if vessel_id not in G.nodes():
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debug_print(f"❌ 目标容器 '{vessel_id}' 不存在于系统中")
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raise ValueError(f"目标容器 '{vessel_id}' 不存在于系统中")
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debug_print(f"✅ 目标容器验证通过")
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action_sequence.append(create_action_log("目标容器验证通过", "✅"))
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# 2. 查找酸碱试剂容器
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debug_print(f"🔍 步骤2: 查找试剂容器...")
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action_sequence.append(create_action_log("正在查找试剂容器...", "🔍"))
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try:
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reagent_vessel = find_acid_base_vessel(G, reagent)
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debug_print(f"✅ 找到试剂容器: {reagent_vessel}")
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action_sequence.append(create_action_log(f"找到试剂容器: {reagent_vessel}", "🧪"))
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except ValueError as e:
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debug_print(f"❌ 无法找到试剂容器: {str(e)}")
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action_sequence.append(create_action_log(f"试剂容器查找失败: {str(e)}", "❌"))
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raise ValueError(f"无法找到试剂 '{reagent}': {str(e)}")
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# 3. 体积估算
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debug_print(f"🔍 步骤3: 体积处理...")
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if volume <= 0:
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action_sequence.append(create_action_log("开始自动估算试剂体积", "🧮"))
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# 获取目标容器的体积信息
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vessel_data = G.nodes[vessel_id].get('data', {})
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vessel_volume = vessel_data.get('max_volume', 100.0) # 默认100mL
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debug_print(f"📏 容器最大体积: {vessel_volume}mL")
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vessel_volume = vessel_data.get('max_volume', 100.0)
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estimated_volume = calculate_reagent_volume(ph_value, reagent, vessel_volume)
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volume = estimated_volume
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debug_print(f"✅ 自动估算试剂体积: {volume:.2f} mL")
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action_sequence.append(create_action_log(f"估算试剂体积: {volume:.2f}mL", "📊"))
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else:
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debug_print(f"📏 使用指定体积: {volume}mL")
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action_sequence.append(create_action_log(f"使用指定体积: {volume}mL", "📏"))
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# 4. 验证路径存在
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debug_print(f"🔍 步骤4: 路径验证...")
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action_sequence.append(create_action_log("验证转移路径...", "🛤️"))
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try:
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path = nx.shortest_path(G, source=reagent_vessel, target=vessel_id)
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debug_print(f"✅ 找到路径: {' → '.join(path)}")
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action_sequence.append(create_action_log(f"找到转移路径: {' → '.join(path)}", "🛤️"))
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action_sequence.append(create_action_log(f"找到转移路径: {' -> '.join(path)}", "🛤️"))
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except nx.NetworkXNoPath:
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debug_print(f"❌ 无法找到转移路径")
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action_sequence.append(create_action_log("转移路径不存在", "❌"))
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raise ValueError(f"从试剂容器 '{reagent_vessel}' 到目标容器 '{vessel_id}' 没有可用路径")
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# 5. 搅拌器设置
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debug_print(f"🔍 步骤5: 搅拌器设置...")
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stirrer_id = None
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if stir:
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action_sequence.append(create_action_log("准备启动搅拌器", "🌪️"))
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@@ -318,7 +232,6 @@ def generate_adjust_ph_protocol(
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stirrer_id = find_connected_stirrer(G, vessel_id)
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if stirrer_id:
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debug_print(f"✅ 找到搅拌器 {stirrer_id},启动搅拌")
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action_sequence.append(create_action_log(f"启动搅拌器 {stirrer_id} (速度: {stir_speed}rpm)", "🔄"))
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action_sequence.append({
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@@ -338,23 +251,18 @@ def generate_adjust_ph_protocol(
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"action_kwargs": {"time": 5}
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})
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else:
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debug_print(f"⚠️ 未找到搅拌器,继续执行")
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action_sequence.append(create_action_log("未找到搅拌器,跳过搅拌", "⚠️"))
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except Exception as e:
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debug_print(f"❌ 搅拌器配置出错: {str(e)}")
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action_sequence.append(create_action_log(f"搅拌器配置失败: {str(e)}", "❌"))
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else:
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debug_print(f"📋 跳过搅拌设置")
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action_sequence.append(create_action_log("跳过搅拌设置", "⏭️"))
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# 6. 试剂添加
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debug_print(f"🔍 步骤6: 试剂添加...")
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action_sequence.append(create_action_log(f"开始添加试剂 {volume:.2f}mL", "🚰"))
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# 计算添加时间(pH调节需要缓慢添加)
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addition_time = max(30.0, volume * 2.0) # 至少30秒,每mL需要2秒
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debug_print(f"⏱️ 计算添加时间: {addition_time}s (缓慢注入)")
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addition_time = max(30.0, volume * 2.0)
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action_sequence.append(create_action_log(f"设置添加时间: {addition_time:.0f}s (缓慢注入)", "⏱️"))
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try:
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@@ -377,11 +285,9 @@ def generate_adjust_ph_protocol(
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)
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action_sequence.extend(pump_actions)
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debug_print(f"✅ 泵协议生成完成,添加了 {len(pump_actions)} 个动作")
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action_sequence.append(create_action_log(f"试剂转移完成 ({len(pump_actions)} 个操作)", "✅"))
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# 🔧 修复体积运算 - 试剂添加成功后更新容器液体体积
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debug_print(f"🔧 更新容器液体体积...")
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# 体积运算 - 试剂添加成功后更新容器液体体积
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if "data" in vessel and "liquid_volume" in vessel["data"]:
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current_volume = vessel["data"]["liquid_volume"]
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debug_print(f"📊 添加前容器体积: {current_volume}")
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