responses
flake8
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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.
flake8
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How I start every new Python backend API project
repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.3.0 hooks: - id: trailing-whitespace - id: check-merge-conflict - id: check-yaml args: [--unsafe] - id: check-json - id: detect-private-key - id: end-of-file-fixer - repo: https://github.com/timothycrosley/isort rev: 5.10.1 hooks: - id: isort - repo: https://github.com/psf/black rev: 22.8.0 hooks: - id: black - repo: https://gitlab.com/pycqa/flake8 rev: 3.9.2 hooks: - id: flake8 - repo: https://github.com/pre-commit/mirrors-mypy rev: v0.971 hooks: - id: mypy args: [ --warn-unused-configs, --ignore-missing-imports, --disallow-untyped-defs, --follow-imports=silent, --install-types, --non-interactive ]
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Flake8 took down the gitlab repository in favor of github
I just ran `pre-commit autoupdate`. It's asking for a username for https://gitlab.com/pycqa/flake8. :-(
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flake8-length: Flake8 plugin for a smart line length validation.
Flake8 plugin for a smart line length validation.
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Should I follow the warnings in Pycharm? Does anyone do this?
repo: https://gitlab.com/pycqa/flake8 rev: 3.9.2 hooks:
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flake8-pylint: Flake8 plugin that runs PyLint
Flake8 plugin that runs PyLint.
- Ask HN: Did somebody have success with the migration of Python 2.7 to Java/C#?
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Make your Django project newbie contributor friendly with pre-commit
$ pre-commit install pre-commit installed at .git/hooks/pre-commit $ git add .pre-commit-config.yaml $ git commit -m "Add pre-commit config" [INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks. [INFO] Initializing environment for https://gitlab.com/pycqa/flake8. [INFO] Initializing environment for https://github.com/pycqa/isort. [INFO] Initializing environment for https://github.com/python/black. [INFO] Installing environment for https://github.com/pre-commit/pre-commit-hooks. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... [INFO] Installing environment for https://gitlab.com/pycqa/flake8. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... [INFO] Installing environment for https://github.com/pycqa/isort. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... [INFO] Installing environment for https://github.com/python/black. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... Trim Trailing Whitespace.................................................Passed Check Yaml...............................................................Passed Check for merge conflicts................................................Passed Debug Statements (Python)............................(no files to check)Skipped Check for added large files..............................................Passed Fix requirements.txt.................................(no files to check)Skipped Check django project for potential problems..........(no files to check)Skipped Check django project for missing migrations..........(no files to check)Skipped flake8...............................................(no files to check)Skipped isort................................................(no files to check)Skipped black................................................(no files to check)Skipped
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On unit testing
If you're looking for just good automated error checking, I personally use a bunch of flake8 plugins via pre-commit hooks: flake8-bugbear, flake8-builtins, flake8-bandit, etc. You can find a bunch of sites that give recommended plugins and you just need to pick which ones you care about :)
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Python: Setting Up Project Environment
flake8 is Python style checker based on PEP8(Python Enhance Proposal 8). black is a good code formatter. But some items such as Documentation String, black is not provided the check option. flake8 not only helps for lack of black but also can be easily applied with black.
What are some alternatives?
httpretty - Intercept HTTP requests at the Python socket level. Fakes the whole socket module
pyright - Static Type Checker for Python
VCR.py - Automatically mock your HTTP interactions to simplify and speed up testing
black - The uncompromising Python code formatter [Moved to: https://github.com/psf/black]
httmock - A mocking library for requests
yapf - A formatter for Python files
Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.
pyre-check - Performant type-checking for python.
pytest-recording - A pytest plugin that allows recording network interactions via VCR.py
mypy - Optional static typing for Python
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.