Sample to show how to organize a python project with multi packages and deployments.

Features

• multiple packages (greetings and numpy_greetings are two package examples)
• dependencies between packages (numpy_greetings depends on greetings)
• external dependencies, requirements (numpy_greetings depend on numpy as external dep)
• unit tests
• add integration tests
• create build zip packages (useful to deploy AWS lambdas and layers...)
• create PyPi packages
• install dev requirements (like pylint)
• pylint src directory
• check that scripts are executed inside a virtual environment

Usage

Create virtual environment:

virtualenv .penv --python=python3

Active virtual environment:

source .penv/bin/activate

Install requirements:

./run-install.sh

Run tests:

./run-test.sh
# run a single test class
./run-test.sh test_package.test_module[.TestSuite][.test_method]

Run integration tests:

./run-test-it.sh
# run a single test class
./run-test-it.sh test_package.test_module[.TestSuite][.test_method]

Run linter:

./run-lint.sh

Build a zip for each package (for lambda packages):

./run-build.sh

Build a PyPi distribution for each package containing setup.py:

./run-dist.sh

Clean outputs:

./run-clean.sh