freezegun VS responses

* in C++.

On Python, just use freezegun to inject controllable timestamps in response to calls to time methods.

https://github.com/spulec/freezegun

I had much fun with https://github.com/spulec/freezegun

If you're ever in Python-land, freezegun is a super neat library that snags all the time/date related functions and lets you control time from code.

For example, freezegun which is a common testing utility.

FreezeGun is a library that helps with mocking out the datetime.datetime.now function. It is a very useful tool for testing code that uses the datetime library.

Another way of doing so would be to inject the value directly to the method. Python has a very good library to sandbox the tests when using the built-in datetime objects: freezegun. Once again, and unfortunately for us, the project was using arrow so this was not a possibility.

If you do time sensitive tests, use freeze gun to make them reproducible https://github.com/spulec/freezegun

I use responses for this (for HTTP/HTTPS requests), to great affect. It's API is very nice. We have an API layer at work that's basically just a proxy to micro services, and responses is what we use to test it.

responses

Please format your code appropriately. But if you are using python requests you can use responses for mocking requests: https://github.com/getsentry/responses

You can use this https://github.com/getsentry/responses

The repsonses library is designed for mocking requests during tests https://github.com/getsentry/responses

I like using responses for mocking API calls in unit tests. It's easy to use and has less boilerplate than doing the mocks yourself. The bulk of your unit tests should be around any data transformation you do, and unit testing them should be fairly straightforward. I'd recommend writing integration tests as well, especially as IME the most common reason why data pipelines with API sources break is due to breaking API changes out of your control. I'd make them as high level as possible and make real API calls, preferably using credentials for a designated testing account. Assert the response from the API call conforms to the contract you expect. Additionally to integration test your code, you can test the main entrypoint to your script and make sure it spits out a file with the shape and contents you expect.

HTTP client library flexibility. Yes, requests pairs well with responses or requests-mock, and HTTPX has RESPX or pytest_httpx. Those testing helpers are an excellent match for the corresponding library, and should certainly be recommended. However, I don't always want to face the risk of rewriting all my tests if I replace the client library some day. And sometimes I am using an altogether different tool (even though both requests and HTTPX are quite awesome) such as urlopen, urllib3, httplib2, tornado, or aiohttp.