homebridge / homebridge/plugins
Verification Request: homebridge-adhanpod
Nobody has claimed this yet.
- Dominant language
- TypeScript
- Stars
- 369
- Forks
- 24
- PR merge metrics
- No merged PRs in 30d
Description
Plugin Name
homebridge-adhanpod
Link To GitHub Repo
https://github.com/SyButter/homebridge-adhanpod
Plugin Icon (Optional)
The plugin does not offer the same nor less functionality than that of any existing verified plugin.
🟢 Yes
The plugin successfully installs and does not start unless it is configured.
🟢 Yes
The plugin does not require the user to run Homebridge in a TTY or with non-standard startup parameters, even for initial configuration.
🟢 Yes
The plugin does not contain any analytics or calls that enable you to track the user.
🟢 Yes
If the plugin needs to write files to disk (cache, keys, etc.), it stores them inside the Homebridge storage directory.
🟢 Yes
The plugin does not throw unhandled exceptions, the plugin must catch and log its own errors.
🟢 Yes
More Information
This plugin uses pyatv's atvremote CLI (a well-established, actively maintained Apple TV/AirPlay control tool) to stream adhan/dua MP3 files to one or more HomePods simultaneously via AirPlay, calculated using the adhan npm package (supporting the standard calculation methods plus custom Fajr/Isha angles). Users configure which of the five daily prayers to announce, whether to play the after-adhan dua, and can supply their own MP3 recordings via a mediaPath config option.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked homebridge-adhanpod repository and compare its installation, configuration, error handling, storage, analytics, and TTY behavior with the verification checklist. Inspect its use of pyatv's atvremote CLI and the adhan package; done means confirming each requirement and recording any missing evidence or needed changes in this issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, typescript
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100