DEVELOPMENT.md

propensity-modeling

Marketing Intelligence Solution with Propensity Modeling

Preparing development environment

Installing Python dependencies

gcloud init
python3.7 -m venv ~/.venvs/myenv
source ~/.venvs/myenv/bin/activate
gcloud config configurations activate propensity-modelling
pip3 install -r requirements-dev.txt
pip3 install pipenv

Installing Terraform

wget -O- https://apt.releases.hashicorp.com/gpg | gpg --dearmor | sudo tee /usr/share/keyrings/hashicorp-archive-keyring.gpg
echo "deb [signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/hashicorp.list
sudo apt update && sudo apt install terraform

Manually testing template rendering from yaml file

inv apply-env-variables-procedures --env-name=prod

Testing using pyTest

Tests are configuration is part of pyproject.toml Automatically running tests will aslo execute code coverage. variables will be imported from config/dev.yaml to the test suite and used in testing

To execute tests on terminal

poetry run pytest -c pyproject.toml

flags: -n <NUMBER_OF_THREATS> # Number of Tests to run in Parallel -m "<MARKER_NAME> # Execute only tests marked with the given marker (@pytest.mark.unit) --maxfail=<NUMBER_OF_FAILURES> # Number of failed tests before aboarding --cov # test incudes code coverage