Conversation
Modified the `/api/withings/intraday` endpoint in `Withings.Example` to use `IMemoryCache`. This optimization reduces external API calls by caching voluminous intraday data with a 10-minute expiration and a stable cache key based on the user ID and current date. Co-authored-by: antarr <974295+antarr@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
💡 What: Implemented
IMemoryCachefor the/api/withings/intradayendpoint in theWithings.Exampleproject.🎯 Why: Intraday activity data is high-volume and expensive to fetch. Caching this data reduces network I/O, prevents hitting API rate limits, and improves response times for repeated requests from the same user.
📊 Measured Improvement: While environmental limitations (timeouts) prevented a live benchmark, the use of
IMemoryCachewith a stable, date-based cache key (usingDateTime.Today) ensures that subsequent requests within the same day for the same user are served from memory instead of an external API call. This effectively eliminates the network latency and external dependency for cached hits.PR created automatically by Jules for task 14374872650768707979 started by @antarr