pdc_discovery

A discovery portal for Princeton research data. Initially it will provide a better browsing experience for the research data contained in DataSpace.

Please note: While this is open-source software, we would disourage anyone from trying to just check it out and run it. Princeton specifics, from styling to authentication and authorization, are hard coded, and we have not invested any time in the kind of configurabily that would be needed for use at another institution. Instead it should be taken as an example of breaking a monolithic project into separate components, and developing iteratively in response to local user feedback.

Dependencies

• Ruby: 3.1.0
• nodejs: 12.18.3
• yarn: 1.22.10
• postgres: brew install postgresql@14; brew services start postgresql@14
• Lando: 3.0.0

Updating the banner

Update the file config/banner.yml. Note that each environment can have its own banner text.

Local development

Setup

1. Check out code
2. bundle install
3. yarn install

Starting / stopping services

We use lando to run services required for both test and development environments.

Start and initialize solr and database services with:

bundle exec rake servers:start

To stop solr and database services:

bundle exec rake servers:stop or lando stop

Running tests

1. Fast: bundle exec rspec spec
2. Run in browser: RUN_IN_BROWSER=true bundle exec rspec spec

Linting Code

We utilize Rubocop for our Ryby code and Prettier for our JavaScript

1. To run rubocop run bundle exec rubocop
   1. To allow for autocorrecting of errors run bundle exec rubocop -a
2. To run prettier via yar lint run yarn lint
   1. To run prettier by itself to see more details on errors run yarn prettier app/javascript
   2. To run prettier to autocorrect errors run yarn prettier --write app/javascript

Starting the development server

1. Terminal one: bin/rails s -p 3000
2. Access pdc_discovery at http://localhost:3000/

Deploying

To create a tagged release use the steps in the RDSS handbook

Indexing research data from DataSpace and PDC Describe

PDC Discovery indexes data from both DataSpace and from PDC Describe via the following rake task:

rake index:research_data

This rake task is scheduled to run every 30 minutes on the production and staging servers.

Solr configuration in production/staging

In production and staging we use Solr cloud to manage our Solr index. Our configuration uses a Solr alias to point to the current Solr collection that we are using. For example, in staging the alias pdc-discovery-staging points to the pdc-discovery-staging-1 collection.

When we index new content we create a new Solr collection (e.g. pdc-discovery-staging-2) and index our data to this new collection. Once the indexing has completed we update our Solr alias to point to this new collection.

Our indexing process automatically toggles between pdc-discovery-staging-1 and pdc-discovery-staging-2.

This dual collection approach allows us to index to a separate area in Solr and prevents users from seeing partial results while we are running the index process.

Updating the Solr schema in production/staging

To make changes to the Solr schema in production/staging you need to update the files in the pul_solr repository and deploy them. The basic steps are:

Getting your changes into pul_solr configuration file for PDC Discovery

1. Copy your configuration updates to pul_solr (This command assumes all your projects live in one folder on your machine)

   cp solr/conf/* ../pul_solr/solr_configs/pdc-discovery/conf/
   

2. create a Draft PR in pul_solr with your changes ( is the name of your new branch for the PR)

Getting your changes onto the server

1. Connect to the VPN.
2. Optional. You can tunnel to machine running Solr ssh -L 8983:localhost:8983 pulsys@lib-solr-staging4 if you want to see your current configuration (e.g. solrconfig.xml or schema.xml).
3. Make sure you are on the pul-solr repo.
4. Deploy the changes, e.g. BRANCH=<branch-name> bundle exec cap solr8-staging deploy.
5. verify your changes have worked and mark your PR ready for review
6. Once the PR has been merged cordiante a time to deploy the changes to production bundle exec cap solr8-production deploy

You can see the list of Capistrano environments here

The deploy will update the configuration for all Solr collections in the given environment, but it does not cause downtime. If you need to manually reload a configuration for a given Solr collection you can do it via the Solr Admin UI.

Monitoring

You can view the Honeybadger Uptime check. Currently it checks every minute and will report downtime when two checks fail in a row (i.e. we should know within 2 minutes).

To be notified of downtime enable notifications in Honeybadger under: Settings + Alerts & Integrtions + email (Edit). Enable notifications for "Uptime Events" for "PDC Discovery Production". Notice that email notifications settings are per project.

PPPL / OSTI data feed

There is a data feed at /pppl_reporting_feed.json. It provides a feed of the full JSON blob from PDC Describe for every object tagged as belonging to the Princeton Plasma Physics Laboratory group, sorted by most recently updated first. This is so PPPL can harvest data sets to report to OSTI. This feed can be paged through using the parameters per_page and page, like this:

https://pdc-discovery-staging.princeton.edu/discovery/pppl_reporting_feed.json?per_page=2&page=3