responses
pre-commit
responses | pre-commit | |
---|---|---|
12 | 192 | |
4,045 | 12,087 | |
0.4% | 1.7% | |
7.2 | 8.0 | |
4 days ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
pre-commit
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How to setup Black and pre-commit in python for auto text-formatting on commit
Today we are going to look at how to setup Black (a python code formatter) and pre-commit (a package for handling git hooks in python) to automatically format you code on commit.
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Implementing Quality Checks In Your Git Workflow With Hooks and pre-commit
# See https://pre-commit.com for more information # See https://pre-commit.com/hooks.html for more hooks repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v3.2.0 hooks: - id: trailing-whitespace - id: end-of-file-fixer - id: check-yaml - id: check-toml - id: check-added-large-files - repo: local hooks: - id: tox lint name: tox-validation entry: pdm run tox -e test,lint language: system files: ^src\/.+py$|pyproject.toml|^tests\/.+py$ types_or: [python, toml] pass_filenames: false - id: tox docs name: tox-docs language: system entry: pdm run tox -e docs types_or: [python, rst, toml] files: ^src\/.+py$|pyproject.toml|^docs\/ pass_filenames: false - repo: https://github.com/pdm-project/pdm rev: 2.10.4 # a PDM release exposing the hook hooks: - id: pdm-lock-check - repo: https://github.com/jumanjihouse/pre-commit-hooks rev: 3.0.0 hooks: - id: markdownlint
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Embracing Modern Python for Web Development
Pre-commit hooks act as the first line of defense in maintaining code quality, seamlessly integrating with linters and code formatters. They automatically execute these tools each time a developer tries to commit code to the repository, ensuring the code adheres to the project's standards. If the hooks detect issues, the commit is paused until the issues are resolved, guaranteeing that only code meeting quality standards makes it into the repository.
- EmacsConf Live Now
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Pre-commit Hooks: Pre-commit is a tool that can be set up to enforce coding rules and standards before you commit your changes to your code repository. This ensures that you can't even check in (commit) code that doesn't meet your standards. This allows a code reviewer to focus on the architecture of a change while not wasting time with trivial style nitpicks.
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Things I just don't like about Git
Ah, fair enough!
On my team we use pre-commit[0] a lot. I guess I would define the history to be something like "has this commit ever been run through our pre-commit hooks?". If you rewrite history, you'll (usually) produce commits that have not been through pre-commit (and they've therefore dodged a lot of static checks that might catch code that wasn't working, at that point in time). That gives some manner of objectivity to the "history", although it does depend on each user having their pre-commit hooks activated in their local workspace.
[0]: https://pre-commit.com/
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Django Code Formatting and Linting Made Easy: A Step-by-Step Pre-commit Hook Tutorial
Pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. It supports hooks for various programming languages. Using this framework, you only have to specify a list of hooks you want to run before every commit, and pre-commit handles the installation and execution of those hooks despite your project’s primary language.
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Git: fu** the history!
You can learn more here: pre-commit.com
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[Tool Anouncement] github-distributed-owners - A tool for managing GitHub CODEOWNERS using OWNERS files distributed throughout your code base. Especially helpful for monorepos / multi-team repos
Note this includes support for pre-commit.
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Packaging Python projects in 2023 from scratch
As a nice next step, you could also add mypy to check your type hints are consistent, and automate running all this via pre-commit hooks set up with… pre-commit.
What are some alternatives?
httpretty - Intercept HTTP requests at the Python socket level. Fakes the whole socket module
husky - Git hooks made easy 🐶 woof!
VCR.py - Automatically mock your HTTP interactions to simplify and speed up testing
gitleaks - Protect and discover secrets using Gitleaks 🔑
httmock - A mocking library for requests
ruff - An extremely fast Python linter and code formatter, written in Rust.
Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.
semgrep - Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.
pytest-recording - A pytest plugin that allows recording network interactions via VCR.py
Poetry - Python packaging and dependency management made easy
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
pre-commit-golang - Pre-commit hooks for Golang with support for monorepos, the ability to pass arguments and environment variables to all hooks, and the ability to invoke custom go tools.