pyPhases 1.0.3

A Framework for creating a boilerplate template for ai projects that are ready for MLOps

pyPhases

A small framework for python projects that are mainly progress based.

The main princible of the framework are Phases.

Architecure

Project

A Project is the composition of phases and the backend.

Phase

A Phase has a main Method and can export data.

Decorators

Compontents

Exporters

Exporter

There is a default PickleExporter and is compatible with primitive types.

register Data

When a phase wants to register data (self.project.registerData("myDataId", myData) within the phase), the data is passed to an exporter. If an exporter is found the data will be passed to alle the storages. They will save the data somewhere (persitent or not).

example:

reading the data

A phase can request data with self.project.getData("myDataId", MyDataType). The Data will be passed sequentially to the storage layer and will pass the data from the first storage that can get it. If no storage can provide the data, the project will search for a phase that exports this data-id and run that specific phase.

example:

example

This is a example data layer with 3 storages: memory, file, database (not default)

development

build

python setup.py sdist bdist_wheel

publish

twine upload dist/*

documentation

sphinx-apidoc -o docs/source pyPhases sphinx-build -b html docs/source docs/build

test

python -m unittest discover -v