tcp-transboost README

Extension for executing ordered test cases that are being automatically discovered from your project using the unittest library and run trough a Transboost Model(XGBoost) predicting a failure probability. Failed tests will be displayed with an ❌

Features

Mostly my extension is created with python scripts -discovering unittests -extracting test case features from your project's logs -model predicts failure probabilities -execute unittests ordered by failure rate

For example if there is an image subfolder under your extension project workspace:


Tip: Many popular extensions utilize animations. This is an excellent way to show off your extension! We recommend short, focused animations that are easy to follow.

Requirements

!PYTHON PROJECT!

Every folder which may lead to a unittest discovery must contain a init.py file. This is a requirement of the unittest library.

Every Test class must end with Test: Pattern: *Test

PROJECT-SIMULATION/ │ ├── main.py ├── org/ │ ├── init.py 👈 ADD THIS │ └── apache/ │ ├── init.py 👈 ADD THIS │ └── sling/ │ ├── init.py 👈 ADD THIS │ └── provisioning/ │ ├── init.py 👈 ADD THIS │ └── model/ │ ├── init.py ✅ already here │ ├── FeatureTest.py │ └── ModelProcessorTest.py

Test logs must be stored from exact path: -root/data/MLDataSet.csv PROJECT-SIMULATION/ │ ├── data/ │ ├── MLDataSet.csv

Your python project must use a virtual environment explicitly named 'venv'. Also your project must be on windows. The extension is not compatible with other OS.

Enjoy!