#147 Mocking out AWS APIs
Published September 11, 2019
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25 min
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    Sponsored by DigitalOcean: pythonbytes.fm/digitalocean

    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

    Extras

    Michael:

    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.

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