This project aims to bring back the feel of the 90s with a weather forecast that has the look and feel of The Weather Channel at that time but available in a modern way. This is by no means intended to be a perfect emulation of the WeatherStar 4000, the hardware that produced those wonderful blue and orange graphics you saw during the local forecast on The Weather Channel. If you would like a much more accurate project please see the [WS4000 Simulator](http://www.taiganet.com/). Instead, this project intends to create a simple to use interface with minimal configuration fuss. Some changes have been made to the screens available because either more or less forecast information is available today than was in the 90s. Most of these changes are captured in sections below.
I've kept this open source, well commented, and made it as library-free as possible to help others interested in programming be able to jump right in and start working with the code.
From a learning standpoint, this codebase make use of a lot of different methods and technologies common on the internet including:
* The https://api.weather.gov REST API. ([documentation](https://www.weather.gov/documentation/services-web-api)).
* ES 6 functionality
* Arrow functions
* Promises
* Async/await and parallel loading of all forecast resources
* Classes and extensions
* Javascript modules
* Separation between API code and user interface code
* Use of a modern date parsing library [luxon](https://moment.github.io/luxon/)
* Practical API rates and static asset caching
* Very straight-forward hand written HTML
* Build system integration (Gulp, Webpack) to reduce the number of scripts that need to be loaded
This project is tightly coupled to [NOAA's Weather API](https://www.weather.gov/documentation/services-web-api), which is exclusive to the United States. Using NOAA's Weather API is a crucial requirement to provide an authentic WeatherStar 4000+ experience.
If you would like to display weather information for international locations (outside of the USA), please checkout a fork of this project created by [@mwood77](https://github.com/mwood77):
To run via Docker using a "server deployment" with a caching proxy server for multi-client performance and enhanced observability (like `npm run build; DIST=1 npm start`):
* A new hour-by-hour graph of the temperature, cloud cover and precipitation chances for the next 24 hours.
* A new hourly forecast display for the next 24 hours is available, and is shown in the style of the travel cities forecast. (off by default because it duplicates the hourly graph)
* The SPC Outlook is shown in the style of the old air quality screen. This shows the probability of severe weather over the next 3 days at your location.
* "Flavors" are not present in this simulation. Flavors refer to the order of the weather information that was shown on the original units. Instead, the order of the displays has been fixed and a checkboxes can be used to turn on and off individual displays. The travel forecast has been defaulted to off so only local information shows for new users.
Selected displays, the forecast city and widescreen setting are sticky from one session to the next. However if you would like to share your exact configuration or bookmark it, click the "Copy Permalink" (or get "Get Permalink") near the bottom of the page. A URL will be copied to your clipboard with all of you selected displays and location (or copy it from the page if your browser doesn't support clipboard transfers directly). You can then share this link or add it to your bookmarks.
Kiosk mode can be activated by a checkbox on the page. Note that there is no way out of kiosk mode (except refresh or closing the browser), and the play/pause and other controls will not be available. This is deliberate as a browser's kiosk mode it intended not to be exited or significantly modified. A separate full-screen icon is available in the tool bar to go full-screen on a laptop or mobile browser.
It's also possible to enter kiosk mode using a permalink. First generate a [Permalink](#sharing-a-permalink-bookmarking), then to the end of it add `&kiosk=true`. Opening this link will load all of the selected displays included in the Permalink, enter kiosk mode immediately upon loading and start playing the forecast.
When serving this via the built-in Express server, it's possible to define environment variables that direct the user to a default set of parameters (like the [Permalink](#sharing-a-permalink-bookmarking) above). If a user requests the root page at `http://localhost:8080/` the query string provided by environment variables will be appended to the url thus providing a default configuration.
Environment variables can be added to the command line as usual, or via a .env file which is parsed with [dotenv](https://github.com/motdotla/dotenv). Both methods have the same effect.
Environment variables that are to be added to the default query string are prefixed with `WSQS_` and then use the same key/value pairs generated by the [Permalink](#sharing-a-permalink-bookmarking) above, with the `- (dash)` character replaced by an `_ (underscore)`. For example, if you wanted to turn the travel forecast on, you would find `travel-checkbox=true` in the permalink, its matching environment variable becomes `WSQS_travel_checkbox=true`.
The WeatherStar had wonderful background music from the smooth jazz and new age genres by artists of the time. Lists of the music that played are available by searching online, but it's all copyrighted music and would be difficult to provide as part of this repository.
I've used AI tools to create WeatherStar-inspired music tracks that are unencumbered by copyright and are included in this repo. To keep the size down, I've only included 4 tracks. Additional tracks are in a companion repository [ws4kp-music](https://github.com/netbymatt/ws4kp-music).
If you're looking for the original music that played during forecasts [TWCClassics](https://twcclassics.com/audio/) has thorough documentation of playlists.
WeatherStar 4000+ supports background music during forecast playback. The music behavior depends on how you deploy the application:
#### Express server modes (`npm start`, `DIST=1 npm start`, or `Dockerfile.server`)
When running with Node.js, the server generates a `playlist.json` file by scanning the `./server/music` directory for `.mp3` files. If no files are found in `./server/music`, it falls back to scanning `./server/music/default/`. The playlist is served dynamically at the `/playlist.json` endpoint.
**Adding your own music:** Place `.mp3` files in `./server/music/`
When hosting static files, there are two scenarios:
**Static Docker deployment:** The build process creates a `playlist.json` file with default tracks, but the Docker image _intentionally_ removes it to force browser-based directory scanning. The browser attempts to fetch `playlist.json`, receives a 404 response with the `X-Weatherstar` header, which causes it to fallback to scanning the `music/` directory.
**Manual static hosting:** If you build and upload the files yourself (`npm run build`), `playlist.json` will contain the default tracks unless you customize `./server/music/` before building.
For directory scanning to work properly:
* Your web server must generate directory listings for the `music/` path
* Your web server must set the `X-Weatherstar: true` header (the provided nginx configuration does this)
**Adding your own music:** Place `.mp3` files in `music/` (or bind mount to `/usr/share/nginx/html/music` for Docker)
Subdirectories will not be scanned. When WeatherStar loads in the browser, it randomizes the track order and reshuffles on each loop through the playlist.
Ws4kp is muted by default, but if it was unmuted on the last visit it is coded to try and auto play music on subsequent visits. But, it's considered bad form to have a web site play music automatically on load, and I fully agree with this. [Chrome](https://developer.chrome.com/blog/autoplay/#media_engagement_index) and [Firefox](https://hacks.mozilla.org/2019/02/firefox-66-to-block-automatically-playing-audible-video-and-audio/) have extensive details on how and when auto play is allowed.
Chrome seems to be more lenient on auto play and will eventually let a site auto-play music if you're visited it enough recently and manually clicked to start playing music on each visit. It also has a flag you can add to the command line when launching Chrome: `chrome.exe --autoplay-policy=no-user-gesture-required`. This is the best solution when using Kiosk-style setup.
If you're unable to pre-set the play state before entering kiosk mode (such as with a home dashboard implementation) you can add the query string value below to the url. The browser will still follow the auto play rules outlined above.
* [Weather like it's 1999](https://blog.scottlabs.io/2024/02/weather-like-its-1999/) Raspberry pi, streaming, music and CRT all combined into a complete solution.
* [ws4channels](https://github.com/rice9797/ws4channels) A Dockerized Node.js application to stream WeatherStar 4000 data into Channels DVR using Puppeteer and FFmpeg.
A hook is provided as `server/scripts/custom.js` to allow customizations to your own fork of this project, without accidentally pushing your customizations back upstream to the git repository. A sample file is provided at `server/scripts/custom.sample.js` and should be renamed to `custom.js` activate it.
When using Docker:
* **Static deployment**: Mount your `custom.js` file to `/usr/share/nginx/html/scripts/custom.js`
* **Server deployment**: Mount your `custom.js` file to `/app/server/scripts/custom.js`
Please do not report issues with api.weather.gov being down. It's a new service and not considered fully operational yet. I've also observed that the API can go down on a regional basis (based on NWS office locations). This means that you may have problems getting data for, say, Chicago right now, but Dallas and others are working just fine.
Before reporting an issue or requesting a feature please consider that this is not intended to be a perfect recreation of the WeatherStar 4000, it's a best effort that fits within what's available from the API and within a web browser.
Note: not all units are converted to metric, if selected. Some text-based products such as warnings are simple text strings provided from the national weather service and thus have baked-in units such as "gusts up to 60 mph." These values will not be converted.
Linking directly to the live web site at https://weatherstar.netbymatt.com is encouraged. As is using the live site for digital signage, home dashboards, streaming and public display. Please note the disclaimer below.
This project is based on the work of [Mike Battaglia](https://github.com/vbguyny/ws4kp). It was forked from his work in August 2020.
* Mike Battaglia for the original project and all of the code which draws the weather displays. This code remains largely intact and was a huge amount of work to get exactly right. He's also responsible for all of the background graphics including the maps used in the application.
* The team at [TWCClassics](https://twcclassics.com/) for several resources.
* A [font](https://twcclassics.com/downloads.html) set used on the original WeatherStar 4000
This web site should NOT be used in life threatening weather situations, or be relied on to inform the public of such situations. The Internet is an unreliable network subject to server and network outages and by nature is not suitable for such mission critical use. If you require such access to NWS data, please consider one of their subscription services. The authors of this web site shall not be held liable in the event of injury, death or property damage that occur as a result of disregarding this warning.
The WeatherSTAR 4000 unit and technology is owned by The Weather Channel. This web site is a free, non-profit work by fans. All of the back ground graphics of this web site were created from scratch. The icons were created by Charles Abel and Nick Smith (http://twcclassics.com/downloads/icons.html) as well as by Malek Masoud. The fonts were originally created by Nick Smith (http://twcclassics.com/downloads/fonts.html).