Schemathesis
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Schemathesis | Selenium WebDriver | |
---|---|---|
23 | 63 | |
2,058 | 29,103 | |
2.0% | 1.3% | |
9.7 | 9.9 | |
4 days ago | about 15 hours ago | |
Python | Java | |
MIT License | Apache License 2.0 |
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.
Schemathesis
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Ask HN: Any Good Fuzzer for gRPC?
I am not aware of any tools like that, but eventually, I plan to add support for gRPC fuzzing to Schemathesis. There were already some discussions and it is more or less clear how to move forward. See https://github.com/schemathesis/schemathesis/discussions/190...
I have been using Schemathesis (https://github.com/schemathesis/schemathesis) for some time to test REST APIs and I have found it amazing. I love the ways it find unexpected bugs and it really help me have more confidence in my systems.I also love how it integrate directly with pytest but that's more of a cherry on the cake.
But now I am working with GRPC service I can't find anything similar. The few solutions I found are closed source and necessitate to integrate with 3rd party platforms.I found that strange as GRPC as RPC seem perfect for fuzzing.
Did I miss a great tool that you use?
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
SchemaThesis is a powerful tool, especially when working with web APIs, and here's how it can enhance your testing capabilities:
- Hurl 4.0.0
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OpenAPI v4 Proposal
I'm sorry, but you have completely misunderstood the purpose of Open API.
It is not a specification to define your business logic classes and objects -- either client or server side. Its goal is to define the interface of an API, and to provide a single source of truth that requests and responses can be validated against. It contains everything you need to know to make requests to an API; code generation is nice to have (and I use it myself, but mainly on the server side, for routing and validation), but not something required or expected from OpenAPI
For what it's worth, my personal preferred workflow to build an API is as follows:
1. Build the OpenAPI spec first. A smaller spec could easily be done by hand, but I prefer using a design tool like Stoplight [0]; it has the best Web-based OpenAPI (and JSON Schema) editor I have encountered, and integrates with git nearly flawlessly.
2. Use an automated tool to generate the API code implementation. Again, a static generation tool such as datamodel-code-generator [1] (which generates Pydantic models) would suffice, but for Python I prefer the dynamic request routing and validation provided by pyapi-server [2].
3. Finally, I use automated testing tools such as schemathesis [3] to test the implementation against the specification.
[1] https://koxudaxi.github.io/datamodel-code-generator/
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Faster time-to-market with API-first
Consolidating the API specification with OpenAPI was a turning point for the project. From that moment we were able to run mock servers to build and test the UI before integrating with the backend, and we were able to validate the backend implementation against the specification. We used prism to run mock servers, and Dredd to validate the server implementation (these days I’d rather use schemathesis).
- Show HN: Step CI – API Testing and Monitoring Made Simple
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API-first development maturity framework
In this approach, you produce an API specification first, then you build the API against the specification, and then you validate your implementation against the specification using automated API testing tools. This is the most reliable approach for building API servers, since it’s the only one that holds the server accountable and validates the implementation against the source of truth. Unfortunately, this approach isn’t as common as it should be. One of the reasons why it isn’t so common is because it requires you to produce the API specification first, which, as we saw earlier, puts off many developers who don’t know how to work with OpenAPI. However, like I said before, generating OpenAPI specifications doesn’t need to be painful since you can use tools for that. In this approach, you use automated API testing tools to validate your implementation. Tools like Dredd and schemathesis. These tools work by parsing your API specification and automatically generating tests that ensure your implementation complies with the specification. They look at every aspect of your API implementation, including use of headers, status codes, compliance with schemas, and so on. The most advanced of these tools at the moment is schemathesis, which I highly encourage you to check out.
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This Week in Python
schemathesis – Run generated test scenarios based on your OpenAPI specification
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Best way to test GraphQL API using Python?
Hi u/autumn_nite Python has an excellent ecosystem for GraphQL testing. Your first stop for painless GraphQL testing is schemathesis. To test your API with schemathesis, you simply need to start up your GraphQL server, and then run schemathesis like this:
Selenium WebDriver
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JS Toolbox 2024: Bundlers and Test Frameworks
Selenium is an extensively used open-source automation framework for web applications. It allows for cross-browser testing by automating browser actions, making it a staple tool for end-to-end testing in diverse web development environments.
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What is Playwright?
While similar to Puppeteer, Cypress, and Selenium, there are some differences. Let’s find out what they are.
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Introduction to Cypress and UI Test Automation
Cypress is a next-generation front-end Automation testing tool built for modern web applications. It is a JavaScript-based end-to-end testing framework and is known for faster test execution as compared with other testing tools (like Selenium or Protractor).
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How to write tests in Django for JavaScript fetch
You won't be able to test the javascript function itself from within python, but you can exercise the front-end code using something like cypress (https://cypress.io) or the older but still respectable selenium (https://selenium.dev).
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Chrome session failing to be created
once you solve this you may run into: https://github.com/SeleniumHQ/selenium/issues/11750, so add that workaround.
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How to scrape the web with Puppeteer in 2023
Other libraries with similar functionality are Selenium, which is very popular outside the JavaScript world, and Playwright, a younger step-brother of Puppeteer.
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9 Tools you must master to excel as a DevOps Engineer
🔗 https://selenium.dev
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Having Issues with selenium
I also tried the following code seen on the selenium.dev website.
In addition, .find_element_by_class_name is deprecated since selenium 4.3.0 and the replacement is .find_element(By.CLASS_NAME, "class"). Check selenium's site for more info.
- How To Perform Web Scraping With JavaScript And Selenium
What are some alternatives?
metamask-extension - :globe_with_meridians: :electric_plug: The MetaMask browser extension enables browsing Ethereum blockchain enabled websites
PyAutoGUI - A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
splinter - splinter - python test framework for web applications
Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.
locust - Write scalable load tests in plain Python 🚗💨
Playwright - Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
dredd - Language-agnostic HTTP API Testing Tool
Poltergeist
Watir - Watir Powered By Selenium
capybara-webkit
PyRestTest - Python Rest Testing
Robot Framework - Generic automation framework for acceptance testing and RPA