Pymetrix: An Overview
An architectural overview of Pymetrix - the Flow Graph, the Database, and the extensible Plugins system.
Pymetrix is an open-source plug-‘n’-play Python analytics library, with extensibility as a core design principle.
Organization
The library comprises three main components:
1. The Flow Graph (Backbone)
Inspired by Google Analytics, Pymetrix employs graphs where each node represents functions or objects requiring metrics. This structure enables tracking execution sequences and user-experience metrics.
2. The Database (Memo Keeper)
Stores graph information, plugin operations, and any data needed for future reference.
3. Plugins (Internal Systems)
These measure and deliver the needed metrics. The architecture allows developers to inherit the plugins class and create custom implementations:
Inherit the plugins class, determine the parts you wanna track, and that’s all you need to do to set up Plugins.
Flow classes are detailed in flow.py, with complete documentation available in
the next section covering Flow classes specifically.