Examples

If you obscure most of the details, mKTL is fundamentally a distributed system for event-driven applications. The Daemon interface is built around the handling and generation of events, the Client interface is built to be the mirror of that functionality. While mKTL can be used in a purely procedural fashion, usage patterns that focus on an event-driven approach will be most closely aligned with the design goals of mKTL.

The examples provided here are intended to highlight fundamental use cases for mKTL in a production environment. All of the examples assume the mKTL module is installed and the correct Python interpreter is being invoked; in other words, that import mktl will succeed.

• Client: get a value
  • Getting started
  • Calling Item.get()
  • Handling return values
  • Full example
• Client: set a value
  • Getting started
  • Calling Item.set()
  • In-line modification
  • Full example
• Client: register a callback
  • Getting started
  • Defining a callback
  • Calling Item.register()
  • Full example
• Daemon: basics
  • Getting started
  • Store subclass
  • Item subclasses
  • Store.setup() method
  • Store.setup_final() method
  • JSON description of items
  • Starting the daemon
• Daemon: unabridged
  • Precious.py
  • precious.json