pyPhases 1.2.6

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

pyPhases

A toolobx for configuration based data generation.

The main concepts are:

• Phases: A phase is a python based process that can generate data that depends on configuration values. Phases can also access data from different phases using self.getData("myDataId", MyDataType).
• Config: A config is saved in a dict-like manner and is connected to the project. The configuration can be loaded from phases with getConfig("myConfigField").
• Exporter: An exporter can save data persitently to a storage. A Storage has specific python types it can handle. You can populate your data to a exporter using self.registerData("myDataId", myData) if any exporter can handle the data type.
• Project: A project is the composition of all the concepts its stores the config values, knows about the phases and can execute phases. For a automatic config based composition, the connected tool phases can be used.

Install

Python >= 3.6 is required.

pip install phases pyPhases

Hello World Example

The project is using two phases, one to generate the sentence to be said and the other one to actually say it.

First we need a data directory where where the data will be stored (default data): mkdir data

poject.yaml

name: HelloWorld

exporter:
   # exporter that can handle primitive types
 - PickleExporter

phases:
   - name: GenerateIt
     exports:
       - sentence
   - name: SayIt

data:
 - name: sentence
   dependsOn:
     - who

config:
 who: world

HelloWorld/phases/GenerateIt.py

from pyPhases import Phase


class GenerateIt(Phase):
    """This phase generates the sentence to be said."""

    def main(self):
        self.log("Generating the sentence")
        greetWho = self.getConfig("who")
        self.registerData("sentence", "Hello %s!" % greetWho)

HelloWorld/phases/SayIt.py

from pyPhases import Phase


class SayIt(Phase):
   """This phase says the sentence."""

   def main(self):
       sentence = self.getData("sentence", str)
       self.logSuccess(sentence)

Run the Example: python -m phases run SayIt

First Output will generate the sentence in phase GenerateIt:

gitpod /workspace/pyphases-hello-world (main) $ phases run SayIt
[phases] Phases v1.0.2 with pyPhases v1.1.5 (Log level: LogLevel.INFO)
[SayIt] RUN phase SayIt: SayIt
[Project] Data sentenceworld--current was not found, try to find phase to generate it
[GenerateIt] RUN phase GenerateIt: GenerateIt
[GenerateIt] Generating the sentence
[SayIt] Hello world!

The data is now stored in the file: data/sentence--current

If your run it again (python -m phases run SayIt) the data is loaded using the Pickleexporter:

gitpod /workspace/pyphases-hello-world (main) $ phases run SayIt
[phases] Phases v1.0.2 with pyPhases v1.1.5 (Log level: LogLevel.INFO)
[SayIt] RUN phase SayIt: SayIt
[SayIt] Hello world!

If you change the config value who in the project to whole world. The data is generated again:

gitpod /workspace/pyphases-hello-world (main) $ phases run --set who="whole world" SayIt
[phases] Phases v1.0.2 with pyPhases v1.1.5 (Log level: LogLevel.INFO)
[SayIt] RUN phase SayIt: SayIt
[Project] Data sentencewholeworld--current was not found, try to find phase to generate it
[GenerateIt] RUN phase GenerateIt: GenerateIt
[GenerateIt] Generating the sentence
[SayIt] Hello whole world!

if you want to explicit generate the data you can just run the first phase: python -m phases run GenerateIt

Example projects

• https://gitlab.com/tud.ibmt.public/pyphases/pyphasesml-example-bumpdetector
• https://gitlab.com/tud.ibmt.public/pyphases/arousaldetector

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