How do you mock complex data structures and dynamic responses in your mock API?
Mocking an API is a common practice for testing and prototyping your API development projects. It allows you to simulate how your API would behave and respond to different requests, without having to build the actual backend logic or data sources. But what if your API needs to return complex data structures, such as nested objects, arrays, or files? Or what if your API needs to generate dynamic responses, such as random values, conditional logic, or error codes? In this article, we will show you how to mock complex data structures and dynamic responses in your mock API using some popular API mocking tools.
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David Roldán Martínez?? Chief Digital Officer | Digital Transformation Lead | AI Leadership ? Integrations Technology & Governance Strategic…
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Rakan Farhouda?? Lead Software Engineer @Blok-Z | Building Scalable Solutions with Python, Django & GCP
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Mo AlrasAPI Governance Lead | Expert in API Design and Exposure | Tech Leadership