Tutorial

In this tutorial, we are going to go through various ways to build the command line application: Robot Chef. One is to build it as a single package. Another is to build it using lml: one main component with many plugins which are separately installable. By comparing the different approaches to build Robot Chef, we could see how lml can be used in practice.

Robot Chef would report what it knows about the food in the world. For example:

$ robotchef "Portable Battery"
I can cook Portable Battery for robots

When you type “Fish and Chips”, it could reports it does not know:

$ robotchef "Fish and Chips"
I do not know how to cook Fish and Chips

For it to understand all the cuisines in the world, there are two ways to enlarge its knowledge base: one is obviously to grow by itself. the other is to open the api interface so that others could join your effort.

• Robot Chef all in one package without lml
  • Demo
  • Conventional plugin and plugin factory
    • plugin.py
    • main.py
• Robot Chef all in one package with lml
  • Demo
  • Lml plugins and plugin manager
    • plugin.py
    • main.py
  • See also
• Robot Chef distributed in multiple packages
  • Demo
  • Decoupling the plugins with the main package
  • Plugin management
    • Built-in plugin
    • Standalone plugin
  • The end
    • More standalone plugins
    • How to ask robotchef to forget British cuisine?
• Robot Chef version 2: Use lml to write a shared library
  • Demo
  • Robot Chef v2 code
  • Robot Chef API
  • Built-in plugin and Standalone plugin

Additional references

1. pyexcel-chart: use lml to refactor existing plugins