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- 新增 `run_bioyond_cell_workflow` 函数以支持通过配置驱动奔曜配液与转运流程 - 新增 `run_coin_cell_packaging_workflow` 函数以支持通过配置驱动扣电池装配流程 - 两个函数均接受字典配置参数,实现初始化、操作调用及日志记录等功能的灵活控制- 提供 keep_alive机制用于持续运行场景 - 更新主程序入口逻辑,使用新工作流函数替代原有手动调用方式 - 支持从配置中读取实验样本、调度器设置以及各项操作开关和日志选项- 添加对 Excel 订单创建路径的配置化支持- 引入路径对象处理文件输入,提升跨平台兼容性- 增强错误提示信息,确保必要字段如 create_orders 的 excel_path 存在 - 封装所有设备动作至标准化函数调用结构,便于维护和扩展
Uni-Lab-OS
English | 中文
Uni-Lab-OS is a platform for laboratory automation, designed to connect and control various experimental equipment, enabling automation and standardization of experimental workflows.
🏆 Competition
Join the Intelligent Organic Chemistry Synthesis Competition to explore automated synthesis with Uni-Lab-OS!
Key Features
- Multi-device integration management
- Automated experimental workflows
- Cloud connectivity capabilities
- Flexible configuration system
- Support for multiple experimental protocols
Documentation
Detailed documentation can be found at:
Quick Start
Uni-Lab-OS recommends using mamba for environment management. Choose the appropriate environment file for your operating system:
# Create new environment
mamba create -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
Install Dev Uni-Lab-OS
# Clone the repository
git clone https://github.com/dptech-corp/Uni-Lab-OS.git
cd Uni-Lab-OS
# Install Uni-Lab-OS
pip install .
- Start Uni-Lab System:
Please refer to Documentation - Boot Examples
Message Format
Uni-Lab-OS uses pre-built unilabos_msgs for system communication. You can find the built versions on the GitHub Releases page.
License
This project is licensed under GPL-3.0 - see the LICENSE file for details.
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Contact Us
- GitHub Issues: https://github.com/dptech-corp/Uni-Lab-OS/issues
Languages
Python
86%
Jupyter Notebook
10.7%
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2.6%
Shell
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0.2%
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