$ show RazorSh4rk/random-word-api
This repository provides a REST API for retrieving random words with optional filtering by language, length, count, and difficulty (based on Wikipedia word frequency). The application is built with Scala using the Cask web framework, loads word lists from JSON files at startup, and uses Redis for IP-based rate limiting. Key features include difficulty filtering via parallel Wikipedia API calls with caching and fallback mechanisms, efficient random word selection algorithms, and multi-language support through community-contributed JSON files. The architecture is monolithic with clear separation of concerns across service objects for language handling, word selection, rate limiting, and external API integration.
The LLM identified 2 files worth highlighting for reuse:
Provides efficient random word selection algorithms, including a partial Fisher-Yates shuffle for picking n random elements without full array shuffle, and a fallback mechanism when difficulty filtering fails to return enough words. Demonstrates skill in optimizing random selection and handling edge cases.
Implements robust integration with the Wikipedia API to determine word difficulty tiers, featuring concurrent caching to avoid redundant requests, parallel batch processing for performance, configurable timeouts, and automatic fallback to random words when the API is rate limited or unavailable. Shows non-obvious skill in building resilient external API clients.