rest-api-patterns

Implement REST API wrappers using the `_base_api` helper in Semantic Link Labs.

561|190|Updated May 16, 2024
One-click install
npx skills add https://github.com/microsoft/semantic-link-labs --skill rest-api-patterns-microsoft
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rest-api-patterns
Source: https://github.com/microsoft/semantic-link-labs/tree/main/.claude/skills/rest-api-patterns
Command: npx skills add https://github.com/microsoft/semantic-link-labs --skill rest-api-patterns-microsoft

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rapidfuzz, requests, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide and reusable patterns for interacting with RESTful APIs, simplifying the process of building API wrappers and troubleshooting API calls within Semantic Link Labs.

Core Features & Use Cases

  • API Wrapper Implementation: Learn best practices for creating new API wrappers.
  • Helper Function Usage: Understand and utilize the _base_api helper for consistent API calls.
  • Advanced Handling: Master pagination, long-running operations (LROs), and robust error handling.
  • Use Case: When integrating with a new Microsoft Fabric or Power BI API, use this Skill to understand the correct authentication, request methods, and response handling patterns to ensure reliable integration.

Quick Start

Use the rest-api-patterns skill to find documentation for the 'dataset refresh' API.

Frequently Asked Questions about rest-api-patterns

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

FAQPage Schema
How do I build a REST API wrapper for Microsoft Fabric in Python?

Build a REST API wrapper for Microsoft Fabric by using the `_base_api` helper function to manage HTTP methods, authentication clients, and responses. This approach standardizes API calls and ensures reliable integration within Semantic Link Labs.

What is the best way to handle pagination in Power BI REST API responses?

The best way to handle pagination in Power BI REST API responses is to implement the response handling strategies provided by the `_base_api` helper. This function manages pagination logic and long-running operations (LROs) automatically for robust API interactions.

How does the _base_api helper function work with Azure Resource Manager APIs?

The `_base_api` helper function works with Azure Resource Manager APIs by providing a unified interface for constructing URLs, applying authentication clients, and routing HTTP methods. It standardizes request execution and error handling for Azure resources.

Do I need Python to implement REST API patterns for Fabric and Power BI?

Yes, implementing these REST API patterns requires Python, as the Skill utilizes Python dependencies like `requests`, `pandas`, and `rapidfuzz` to execute HTTP methods, structure data, and handle string matching within the Semantic Link Labs environment.

Why does my REST API wrapper fail during long-running operations?

REST API wrappers often fail during long-running operations if response handling strategies are not configured correctly. Use the `_base_api` helper to properly manage LRO polling, pagination, and error handling to prevent wrapper failures.