lorantest-logic-encapsulation

Encapsulate HTTP API requests into Python Logic functions within the LoranTest framework.

11|1|Updated Mar 31, 2023
One-click install
npx skills add https://github.com/WaterLoran/LoranTest --skill lorantest-logic-encapsulation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lorantest-logic-encapsulation
Source: https://github.com/WaterLoran/LoranTest/tree/main/.cursor/skills/lorantest_logic_encapsulation
Command: npx skills add https://github.com/WaterLoran/LoranTest --skill lorantest-logic-encapsulation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the process of converting raw HTTP API requests into reusable, maintainable Python functions, reducing boilerplate code and improving test automation efficiency.

Core Features & Use Cases

  • API Encapsulation: Define HTTP requests using decorators and simple Python functions.
  • Parameter Mapping: Automate or explicitly map function arguments to request bodies and parameters.
  • Response Handling: Define default assertions and extract specific fields from API responses.
  • Automated Cleanup: Configure automatic teardown or rollback actions for API calls.
  • Use Case: Encapsulate a complex API endpoint for user creation, including request body construction, parameter mapping, and defining expected success responses, making it easily callable from test scripts.

Quick Start

Use the lorantest-logic-encapsulation skill to define a POST API call to '/users' with JSON payload.

Frequently Asked Questions about lorantest-logic-encapsulation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I encapsulate HTTP API requests into reusable Python functions for test automation?

Encapsulate HTTP API requests into Python functions using decorators to define endpoints, map parameters via `req_field` and `auto_fill`, and handle responses with `rsp_check` to reduce boilerplate code.

How does automatic cleanup work when encapsulating API calls with Python decorators?

Automatic cleanup for API calls uses the `restore` decorator to configure teardown or rollback actions, ensuring test environments are automatically reverted after the HTTP request executes.

What is the best way to map function arguments to an API request body in a Python testing framework?

Map function arguments to an API request body explicitly using `req_field` or let the framework map them automatically with `auto_fill`, streamlining parameter injection for HTTP requests.

How do I extract specific fields from an API response during Python test automation?

Extract specific fields from an API response using the `fetch` method, allowing your test scripts to capture and utilize dynamic data returned by the HTTP request seamlessly.

Can I define default assertions for HTTP API responses within my Python logic functions?

Define default assertions for HTTP API responses using the `rsp_check` mechanism, allowing you to validate expected success statuses directly within the encapsulated Python logic function.

How should I organize Python logic files that encapsulate API endpoints in my test framework?

Organize Python logic files under the `common/` directory, structuring the file hierarchy to follow the URL path structures of the encapsulated HTTP API endpoints for maintainability.