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A python library developed to allow programmatic control of the Hudson Robotics systems installed in Argonne National Laboratory's Secure BIO Lab.

Project description

liquidhandling

This repository contains the source code for a python library developed to allow programmatic control of the Hudson Robotics systems installed in Argonne National Laboratory's Secure BIO Lab.

This library is currently in active development. As such, there are no guarantess of API stability, feature completeness, or test coverage. Any code generated by this library should be considered untested, and when run on the physical lab automation systems should be carefully monitored.

Installation

Pip:

pip install liquidhandling

Conda:

conda install -c conda-forge -c luckierdodge liquidhandling

(For development install, see below)

Documentation

Documentation for the interfaces contained in this library can be found in the docs directory. In addition, example code is available under example.

Development

Installing For Development/Testing

  1. Install Python 3.8.5+, making sure to include pip in the install
  2. Git clone this repository:
    1. git clone https://github.com/AD-SDL/hudson-liquidhandling.git
  3. Run pip install -r requirements.txt in the repository root
  4. Run pip install -e . in the repository root

Tests

  • Run all: python -m pytest ./test in the repo's root directory (or with the last argument adjusted to point to the test directory)

Formatting the Code

To automatically format the code for style and readability, run black . in the repo's root directory. This keeps all python code stylistically consistent.

Recommended Visual Studio Code Extensions

  • Better Comments by Aaron Bond
  • GitLens by Eric Amodio
  • Pylance by Microsoft
  • Python by Microsoft
  • Visual Studio IntelliCode by Microsoft

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