惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

雷峰网
雷峰网
Y
Y Combinator Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
The Cloudflare Blog
博客园_首页
J
Java Code Geeks
A
About on SuperTechFans
人人都是产品经理
人人都是产品经理
量子位
C
Check Point Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
博客园 - 三生石上(FineUI控件)
L
LangChain Blog
N
Netflix TechBlog - Medium
Hugging Face - Blog
Hugging Face - Blog
B
Blog
美团技术团队
Microsoft Security Blog
Microsoft Security Blog
P
Proofpoint News Feed
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
宝玉的分享
宝玉的分享
罗磊的独立博客
MongoDB | Blog
MongoDB | Blog
Last Week in AI
Last Week in AI

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
How I built native Wayland window tracking across Hyprlan...
Plexescor (A · 2026-05-16 · via DEV Community

If you've ever tried to get the currently focused window on Wayland, you know it's a mess. There's no unified API. Every compositor does it differently. X11 had _NET_ACTIVE_WINDOW and everyone just used that. Wayland deliberately doesn't have an equivalent for security reasons, which means every tracker, every productivity tool, every anything that needs to know what you're looking at has to implement a different solution per compositor.

I ran into this while building HPR, an activity tracker that watches your active window every 50ms and logs time per app. Here's how I solved it for the three most common Wayland compositors.

Hyprland

Easiest of the three. Hyprland exposes an IPC socket and a CLI tool called hyprctl. One command gives you the active window as JSON:

hyprctl activewindow -j | jq -r '.class'

Enter fullscreen mode Exit fullscreen mode

That's it. No extension, no setup, no workarounds. Just works on first launch. The .class field gives you the application class which is consistent and clean. I call this every 50ms from a background thread and it holds up fine.

GNOME

GNOME on Wayland is the painful one. There's no official API for getting the active window from outside the compositor. The only working solution I found is a shell extension called window-calls-extended which exposes a DBus interface you can query:

gdbus call --session --dest org.gnome.Shell \
  --object-path /org/gnome/Shell/Extensions/WindowsExt \
  --method org.gnome.Shell.Extensions.WindowsExt.FocusClass

Enter fullscreen mode Exit fullscreen mode

This returns the window class wrapped in some dirty output you have to parse. HPR checks on startup whether the extension is active. If it isn't, it tells the user exactly what to do instead of silently returning garbage. Because GNOME can't hot-reload shell extensions you log out and back in once after installing. Every launch after that is automatic.

One thing worth knowing: GNOME shell extensions are sandboxed differently across GNOME versions and some distributions patch the shell in ways that break extension APIs. If you're supporting GNOME you need to test across versions.

KDE Plasma

KDE was the one I expected to be easy and wasn't. KDE exposes KWin scripting via qdbus6 which lets you inject JavaScript into the compositor and read the output. The active window class comes from workspace.activeWindow.resourceClass.

The problem is KWin doesn't give you a clean return value. The script runs, prints output to the system journal with a js: prefix, and you have to scrape it back out:

echo 'print(workspace.activeWindow.resourceClass);' > /tmp/kwin_active.js
S=$(qdbus6 org.kde.KWin /Scripting org.kde.kwin.Scripting.loadScript /tmp/kwin_active.js kwin_tmp_$$)
T=$(date '+%Y-%m-%d %H:%M:%S')
qdbus6 org.kde.KWin /Scripting/Script$S org.kde.kwin.Script.run > /dev/null 2>&1
sleep 0.1
journalctl --since "$T" -o cat | grep '^js:' | tail -n 1 | sed 's/^js: //'

Enter fullscreen mode Exit fullscreen mode

Yes this is a hack. It forks a shell, injects JS, scrapes the journal, and cleans up after itself every 50ms. Somehow it lands at around 1% CPU. I tested every other approach I could find. None of them worked reliably across KDE configurations. This one does.

One side effect: during the JS injection, KWin's own runtime briefly appears as the active window. If you don't filter it out, strings like js::kwin_tmp_1234 silently accumulate time in your logs. HPR filters anything containing js:: before it ever touches the data.

The normalization layer

Each backend returns a raw string. Raw strings from OS window APIs are inconsistent and noisy. HPR runs every return value through a shared normalization function before doing anything with it. This filters out compositor artifacts, plasma shell entries, null strings, and KWin JS runtime noise. New backends inherit this filtering automatically.

Platform detection

HPR reads $XDG_CURRENT_DESKTOP and matches substrings. Simple, works for 99% of setups. Non-standard session variables or nested compositors can confuse it but that's an edge case worth documenting rather than engineering around.

The project

HPR is open source, C++23, Slint UI, SQLite3 bundled. If you're on Wayland and want an activity tracker that actually works without a Python runtime or an embedded web server, give it a try.

GitHub: github.com/plexescor/HPR

If you've solved Wayland window detection in a cleaner way especially on KDE, I'd genuinely like to know.