[ES] WRedis v1.0.0 LTS: Arquitectura empresarial para Redis con async/await y decoradores de caché

WRedis v1.0.0 LTS introduces a robust, enterprise-grade Python library for interacting with Redis, addressing challenges such as raw command handling, untyped returns, multithreading concurrency risks, and the need to reinvent cache decorators or distributed locks in each service. The library features native synchronous and asynchronous APIs, async/await support, declarative cache decorators (@cache and @async_cache with hit/miss ratio telemetry and configurable TTL policies), high availability factory support for Redis Sentinel and Cluster topologies, strict 100% type checking aligned with mypy configurations, 12 built-in data structures including Bitmaps, Hashes, Sets, SortedSets, Streams, Queues, Pub/Sub, Geo, HyperLogLog, Pipelines, and atomic transactions, a rigorous testing suite with over 800 unit tests, 38 integration tests on real Redis clusters, and 19 stress tests for concurrency, and practical implementation through clean hash management with JSON serialization via wredis.hash.RedisHashManager.

Example usage includes structured hash creation and reading with auto JSON serialization, real-time analytics using Bitmaps for user activity tracking, and setting and counting active users with O(1) memory complexity. WRedis can be installed via PyPI or GitHub and is maintained by William Steve Rodríguez Villamizar (Wisrovi).