This article explains why custom assertion logic is needed in API automation testing, shows how to build a reusable Assertions class with methods for status code, JSON schema, key, JSONPath, and response time checks, and provides complete Python code examples for each use case.
This article demonstrates advanced jsonschema techniques in Python, covering complex data structures like arrays and nested objects, custom format and function validators, modular schema validation with RefResolver, and combining jsonschema with Voluptuous for data transformation.
This guide walks through ten practical Python examples for parsing, constructing, validating, updating, deleting, and iterating JSON data via HTTP requests, including custom date serialization and schema validation, each demonstrated with complete code and expected outcomes.
This article explains how to design and implement a canvas‑based editor for customizable store promotional materials, covering requirement analysis, system architecture, canvas library selection, component initialization, event handling, drag‑and‑drop, form integration, and future enhancements.
This article provides a series of Python code examples demonstrating how to perform API automation testing tasks—including GET and POST requests, authentication, file uploads, redirects, unit testing with unittest and pytest, response mocking with responses, and response schema validation with jsonschema—offering practical guidance for backend testing.
The article provides ten code examples demonstrating how to validate JSON data with Python's jsonschema library, covering basic validation, required fields, nested schemas, arrays, uniqueness, enums, ranges, pattern matching, conditional logic, and custom error messages.
This article explains how to use Python's built‑in json module for serializing and deserializing data, demonstrates sending JSON payloads with the requests library, and covers advanced techniques such as data‑driven testing, JsonPath/JMESPath extraction, JSON Schema validation, and dynamic request body construction for API automation.
This article explains the purpose, features, and practical usage of JSON Schema for describing data structures, generating documentation, and validating API inputs and outputs, and provides a detailed example with code and tips for effective schema design.
