#147: Mocking out AWS APIs

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Brian #1: rapidtables

• “rapidtables … converts lists of dictionaries to pre-formatted tables. And it does the job as fast as possible.”
• Also can do color formatting if used in conjunction with termcolor.colored, but I’m mostly excited about really easily generating tabular data with print.
• Can also format to markdown or reStructured text, and can do alignment, …

Michael #2: httpx

• A next generation HTTP client for Python. 🦋
• HTTPX builds on the well-established usability of requests, and gives you:
  • A requests-compatible API.
  • HTTP/2 and HTTP/1.1 support.
  • Support for issuing HTTP requests in parallel. (Coming soon)
  • Standard synchronous interface, but with [async](https://www.encode.io/httpx/async/)/[await](https://www.encode.io/httpx/async/) support if you need it.
  • Ability to make requests directly to WSGI or ASGI applications.
    • This is particularly useful for two main use-cases:
      • Using httpx as a client, inside test cases.
      • Mocking out external services, during tests or in dev/staging environments.
  • Strict timeouts everywhere.
  • Fully type annotated.
  • 100% test coverage.
• Lovely support for “parallel requests” without full asyncio (at the API level).
  • Also pairs with async / await with async client.
• Plus all the requests features

Brian #3: Quick and dirty mock service with Starlette

• Matt Layman
• Mock out / fake a third party service in a testing environment.
• Starlette looks fun, but the process can be used with other API producing server packages.
• We tell people to do things like this all the time, but there are few examples showing how to.
• This example also introduces a delay because the service used in production takes over a minute and part of the testing is to make sure the system under test handles that delay gracefully.
• Very cool, easy to follow write up. (Should probably have Matt on a Test & Code episode to talk about this strategy.)

Michael #4: Mocking out AWS APIs

• via Giuseppe Cunsolo
• A library that allows you to easily mock out tests based on AWS infrastructure.
• Lovely use of a decorator to mock out S3
• Moto isn't just for Python code and it isn't just for S3. Look at the standalone server mode for more information about running Moto with other languages.
• Be sure to check out very important note.

Brian #5: μMongo: sync/async ODM

• “μMongo is a Python MongoDB ODM. It inception comes from two needs: the lack of async ODM and the difficulty to do document (un)serialization with existing ODMs.”
• works with common mongo drivers such as PyMongo, TxMongo, motor_asyncio, and mongomock. (Hadn’t heard of mongomock before, I’ll have to try that out.)
• Note: We’ve discussed MongoEngine before. (I’m curious what Michael has to say about uMongo.)

Michael #6: Single Responsibility Principle in Python

• via Tyler Matteson
• I’m a big fan of the SOLID principles
• They even come in demotivator style posters
  • DI
  • Liskov Substitution Principle
  • Open/Closed Principle
  • Single Responsibility Principle
  • Interface Segregation Principle
• This article will guide you through a complex process of writing simple code.

Extras

Michael:

• Code Challenge Bite 220. Analyzing @pythonbytes RSS feed

Jokes

• Q: What do you get when you cross a computer and a life guard?

• A: A screensaver!

• Q: What do you get when you cross a computer with an elephant?

• A: Lots of memory!

via https://github.com/wesbos/dad-jokes

Anti-joke (we ready for those yet?): A Python developer, a PHP developer, a C# developer, and a Go developer went to lunch together. They had a nice lunch and got along fine.