Automation API test bed

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  For the linked open API json, the script created the table for endpoints

Inspiration

In our experience, we found that one of the most tedious and time-consuming tasks is creating and maintaining API tests. Manually building requests for every endpoint is repetitive and highly prone to error. Worse, whenever the API specification changes, the entire test suite becomes outdated, requiring another round of manual updates. We were inspired to build a tool that automates the boring stuff, using the API's own contract as the single source of truth to generate tests automatically.

What it does

Automation Testing Bed is a powerful tool that reads an API specification file and automatically generates a comprehensive suite of test cases. It connects directly to a source code repository to fetch the latest API contract, ensuring the tests are always in sync with the code. The tool parses every endpoint, parameter, and request body, then intelligently constructs valid API calls, complete with URLs, methods, and sample data payloads. The output is a clean, structured list that can be used immediately for smoke testing, regression testing, or as a foundation for a more complex test suite.

How we built it

We built our engine using a powerful backend programming language, focusing on a modular design. The process involves several key steps:

First, a component communicates with the source repository's API to fetch the specification file securely.

Next, the core of our tool—a custom-built parser—deeply analyzes the structure of the API contract.

For data transformation, we used a high-performance in-memory structure to efficiently organize all the parsed information, deconstructing each endpoint into its fundamental parts.

Finally, a key piece of our logic intelligently re-aggregates these parts into complete, executable API calls, including the assembly of complex request payloads.

Challenges we ran into

API specifications can be quite complex. Our biggest challenge was correctly handling data models that are nested and reused throughout the document. We had to engineer a sophisticated resolver to navigate these internal relationships and accurately reconstruct the data structures. Another significant hurdle was the aggregation logic. Designing a system to correctly combine all the different types of parameters—from the URL path, query string, and request body—into a single, valid request required a robust and meticulous design.

Accomplishments that we're proud of

We are incredibly proud of creating a fully functional parser that can handle real-world, complex API specifications. The direct integration with source control is a huge win, as it makes the tool genuinely useful in a continuous integration and deployment pipeline. Seeing our tool take a raw specification and output a perfectly structured list of dozens of ready-to-use API calls was a huge moment for us. It successfully transforms a tedious manual task into a single, automated step.

What we learned

This project gave us a much deeper appreciation for the structure and power of formal API specifications. We also learned how incredibly efficient modern data-handling libraries are for complex data transformation tasks, far beyond simple analysis. Most importantly, it reinforced the principle of using a formal contract as a single source of truth to unlock powerful automation opportunities for testing and development workflows.

What's next for Automation API test bed

This is just the beginning. We have a clear roadmap for the future:

Negative Path Generation: Automatically create test cases for failure scenarios, such as missing required fields or sending invalid data types.

Dynamic Data Generation: Integrate with data-generation services to populate the requests with more realistic and varied sample data.

Test Framework Export: Add functionality to export the generated calls directly into executable scripts for popular testing frameworks.

Web Interface: Build a simple UI where a user can simply upload their API specification and download the generated test suite, making the tool accessible to non-developers.

Built With

• python