responses
pypiglatin
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| responses | pypiglatin | |
|---|---|---|
| 12 | 1 | |
| 4,040 | 2 | |
| 0.5% | - | |
| 8.0 | 0.0 | |
| 2 months ago | about 3 years ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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responses
- Please recommend a good API Mocking tool
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Useful libraries for integration/api testing
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.
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How I start every new Python backend API project
responses
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Mocking api request?
Please format your code appropriately. But if you are using python requests you can use responses for mocking requests: https://github.com/getsentry/responses
- We Just Gave $260,028 to Open Source Maintainers
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best way to test requests and responses in pytest?
You can use this https://github.com/getsentry/responses
- What's the use case for Responses library?
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Am new to Testing, Should I test Functions that Return a Queryset?
The repsonses library is designed for mocking requests during tests https://github.com/getsentry/responses
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Testing for API data (python)
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.
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Two Methods for Testing HTTPS API Calls with Python and pytest and also Communicating with the In-laws
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.
pypiglatin
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Two Methods for Testing HTTPS API Calls with Python and pytest and also Communicating with the In-laws
The script and associated tests can be found in the companion Github repo.
What are some alternatives?
httpretty - Intercept HTTP requests at the Python socket level. Fakes the whole socket module
MicroWebSrv2 - The last Micro Web Server for IoTs (MicroPython) or large servers (CPython), that supports WebSockets, routes, template engine and with really optimized architecture (mem allocations, async I/Os). Ready for ESP32, STM32 on Pyboard, Pycom's chipsets (WiPy, LoPy, ...). Robust, efficient and documented!
VCR.py - Automatically mock your HTTP interactions to simplify and speed up testing
httmock - A mocking library for requests
Mocket - a socket mock framework - for all kinds of socket animals, web-clients included
Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.
OBRequests - Modern typed requests for Python 3 built on-top of HTTPX
pytest-recording - A pytest plugin that allows recording network interactions via VCR.py
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev