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Treenee

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Treenee is a web application made for presenting simple decision trees to humans; each "node" of the tree is supposed to show the user a prompt with several possible options to select from as the next step: upon selection, Treenee will render the corresponding node until the end of the tree, when a "next node" cannot be selected anymore.

The last node of the tree also doesn't contain any further options but usually shows a page with further instructions, a result, or anything you can think of it may come as a "final decision", so to speak.

A demo server with the default installation is available at Treenee.com.

Features (and limits)

  • Database not needed; all tree definitions are just YAML files (one file for each tree, in case you need to serve more than one)
  • No logins, no registration; access to the application is always anonymous (see below for a discussion about security)
  • Trees can be made "private" with a code, to make them accessible only to people who know that code. The code is requested in the home page
  • Three rendering modes for the pages: html, markdown and text (no formatting)
  • Each answer can be given a "value" which is added until the end so that each user can get a "score" (read more in the Score section below)
  • Optionally, a person can only visit a node once (option trackVisits, which defaults to false); going back and forth the nodes with the browser's capabilities is fully handled
  • Many validating checks are performed on the inputs to ensure the trees are consistent and robust
  • A cookie is used to maintain track of the session data
  • The JSON schema for the tree definition is provided in tree-schema.json
  • The JSON schema for the settings is provided in settings-schema.json
  • (optional) graph visualization of each tree is implemented using (using Mermaid)

Installation (for development)

First of all npm install and then npm start (uses nodemon).

If you run the server with npm run start-dev, then:

  • all changes in the tree configuration(s) are reloaded automatically
  • most of the validations on the trees are skipped (using the --builder-mode command line option, see below)
  • the ids are created stable, see below

Tests are run either with npm test (for CI, doesn't watch changes) or npm run test-dev, which runs watching changes.

In case you want to just validate the JSON trees definition and not run the server, you can run node index.js --dry-run.

The default installation comes with a (silly) example tree in ./trees/example.

Trees are automatically loaded from the trees directory; you can exclude trees to be read, using the specific settings option.

Deployment (for production)

Since this is just a nodejs application, I think my opinion here is as good as yours.

You can create a static working copy of the website by just running wget --mirror --convert-links --adjust-extension --page-requisites --no-parent http://localhost:3000 (if you are running the server on port 3000).

If you are interested in working with statically generated files, please take a look at the (unsupported) script ./scripts/task-build.sh for inspiration.

Configuration

You probably want to be able to configure some of the aspects of the application; to do so you just need to create a file called settings.json in the root of the application (where the main index.js is located) or you can specify a custom location of the file with the -s server setting. Run the server with the --sample-settings switch to dump a template file to be used (you can leave the comments inside).

Each configuration option meaning is described in the settings.json template file.

If you want to create a sample tree, run node index --sample-tree to output a YAML that you can use as a starting point.

Translations

All the strings used by the Treenee user interface can be translated (or just changed from their default value). To do so, use the settings.json file (see above the Configuration section), and work on the strings object in it.

Hint: for the sake of self-documenting, and to simplify debugging translation issues, each string in the final HTML is wrapped within a <span> with a class having the same name then the key used for translation.

Content rendering (Markdown, HTML, text)

Each node can be configured to use a specific rendering mode for the main text in the page (which the body of the node, in the tree definition), using the bodyFormat option.

  • Markdown parser uses markdown-it. It is configured to not render HTML
  • The HTML format just put anything you write directly in the page: I haven't thought too much about security here so be warned about what you allow your users to do with that
  • The text format doesn't remove any tag, but escapes everything

Security

Treenee doesn't have any concept of "user" and it always runs anonymously; one (encrypted) session cookie is used to just keep track of the scores during a tree navigation.

Since Treenee is not supposed to be directly exposed to the internet but to run behind a nginx server or similar, if you need to run Treenee in a public space with a bit of authentication my suggestion is to use a simple basic authentication managed by the web server itself.

The same applies of course for TLS: the Treenee server itself only speaks HTTP. If you need HTTPS you need to terminate it to the server running in front of it.

Score

Admittedly, "scoring" is quite useless as it is implemented right now. If you add a "value" to each option of a nod, then Treenee will sum all the score until the end of the navigation. The final score is then showed on any final page.

Look customization

There are not many options to customize how Treenee looks, unfortunately. It is planned to have some kind of "theme" support in the future but for the moment all you can do is to hack something directly into the ./public/css directory.

To avoid potential issues during future updates, Treenee will try loading a ./public/css/custom.css file which is not provided by the default installation, which means that if you want to customize the look and feel, just put your css in that file.

Advanced concepts

Node ids

When Treenee loads each tree definition, it gives each node's option (when present) a randomly generated identifier and this id is not "stable" across server restarts: when you restart the server, the tree definition are read again and the id are generated anew. The reasons behind it is to avoid issues with browser cache and to be perfectly sure that every option is reached from a unique path and those pages are difficult to "bookmark".

You can actually change this behavior using the --stable-ids server option, so that each option id is generated from the "index" of the array they belong. This is supposed to only be used during development (so that you can actually reload an option page without getting a 404 after a server restart), because those "stable ids" are not really smart and may become messy after several options edits: use with care.

Builder mode

When the server is run with the --builder-mode switch, then only the schema validation of the tree definition is performed. Any internal inconsistency is not detected to avoid annoying errors while developing a tree definition.

Always remember to perform a full validation of the tree before submitting changes to a live environment, either by using --dry-run or just npm starting the server.