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

!!! pip install -r requirements.txt !!!

!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!