✨ This is an improved article of the previous Python Transactional Tests Using SQL Alchemy, Pytest, and Factory Boy article.
In this post I will show you how you can setup a Pytest test suite that automatically sets up and teardowns your database using SQAlchemy on each test run. It will also provide transactional tests capabilities as described in Python Transactional Tests Using SQL Alchemy, Pytest, and Factory Boy.
In this post I will show you a very neat way to unit test your Amazon SES emails using Pytest and the awesome Moto library for mocking AWS services.
I like to use a handy base class for preparing and sending SES emails within my application code. Here is a simple example:
In this post I will show you how to setup a nice 3 stage deployment pipeline that will lint and test your code before deploying to a specific stage, using Github Actions
I will be simulating a Python application for this post, so you should modify the Python related stuff according to your project.
This workflow will lint, type check, and test the project before deploying to any stage. Create a .github/workflows/build-and-test.yml file:
🆕 Read the newer and improved post Setting Up a SQLAlchemy and Pytest Based Test Suite
📅 Last Updated on November 26 2021
Knowing how to integrate SQLAlchemy for your automated tests can be a bit tricky. Even after reading several blog posts on how to implement transactional tests with SQLAlchemy 1.3 and Pytest, it took me a bit of time to make it all play nicely with Factory Boy.
In this post I will teach you how you that is achieved.
In this post I will show you how you can create a debug configuration in Visual Studio Code that will allow you to debug a Chalice application locally.