# Valkyrie Valkyrie is a gem for enabling multiple backends for storage of files and metadata in Samvera. [![CircleCI](https://circleci.com/gh/samvera-labs/valkyrie.svg?style=svg)](https://circleci.com/gh/samvera-labs/valkyrie) [![Coverage Status](https://coveralls.io/repos/github/samvera-labs/valkyrie/badge.svg?branch=master)](https://coveralls.io/github/samvera-labs/valkyrie?branch=master) [![Stories in Ready](https://badge.waffle.io/samvera-labs/valkyrie.png?label=ready&title=Ready)](https://waffle.io/samvera-labs/valkyrie) [![Yard Docs](http://img.shields.io/badge/yard-docs-blue.svg)](http://rubydoc.info/github/samvera-labs/valkyrie) ## Primary Contacts ### Product Owner [Carolyn Cole](https://github.com/cam156) ### Technical Lead [Trey Pendragon](https://github.com/tpendragon) ## Installation Add this line to your application's Gemfile: ``` gem 'valkyrie' ``` And then execute: $ bundle ## Configuration Valkyrie is configured in two places: an initializer that registers the persistence options and a YAML configuration file that sets which options are used by default in which environments. ### Sample initializer: `config/initializers/valkyrie.rb`: Here is a sample initializer that registers a couple adapters and storage adapters, in each case linking an instance with a short name that can be used to refer to it in your application: ``` # frozen_string_literal: true require 'valkyrie' Rails.application.config.to_prepare do Valkyrie::MetadataAdapter.register( Valkyrie::Persistence::Postgres::MetadataAdapter.new, :postgres ) Valkyrie::MetadataAdapter.register( Valkyrie::Persistence::Memory::MetadataAdapter.new, :memory ) Valkyrie::StorageAdapter.register( Valkyrie::Storage::Disk.new(base_path: Rails.root.join("tmp", "files")), :disk ) Valkyrie::StorageAdapter.register( Valkyrie::Storage::Fedora.new(connection: Ldp::Client.new("http://localhost:8988/rest")), :fedora ) Valkyrie::StorageAdapter.register( Valkyrie::Storage::Memory.new, :memory ) end ``` The initializer registers two `Valkyrie::MetadataAdapter` instances for storing metadata: * `:postgres` which stores metadata in a PostgreSQL database * `:memory` which stores metadata in an in-memory cache (this cache is not persistent, so it is only appropriate for testing) Other adapter options include `Valkyrie::Persistence::BufferedPersister` for buffering in memory before bulk updating another persister, `Valkyrie::Persistence::CompositePersister` for storing in more than one adapter at once, `Valkyrie::Persistence::Solr` for storing in Solr, and `Valkyrie::Persistence::Fedora` for storing in Fedora. The initializer also registers three `Valkyrie::StorageAdapter` instances for storing files: * `:disk` which stores files on disk * `:fedora` which stores files in Fedora * `:memory` which stores files in an in-memory cache (again, not persistent, so this is only appropriate for testing) ### Sample configuration: `config/valkyrie.yml`: A sample configuration file that configures your application to use different adapters: ``` development: metadata_adapter: postgres storage_adapter: disk test: metadata_adapter: memory storage_adapter: memory production: metadata_adapter: postgres storage_adapter: fedora ``` For each environment, you must set two values: * `metadata_adapter` is the store where Valkyrie will put the metadata * `storage_adapter` is the store where Valkyrie will put the files The values are the short names used in your initializer. Further details can be found on the [the Wiki](https://github.com/samvera-labs/valkyrie/wiki/Persistence). ## Usage ### The Public API Valkyrie's public API is defined by the shared specs that are used to test each of its core classes. This include change sets, resources, persisters, adapters, and queries. When creating your own kinds of these kinds of classes, you should use these shared specs to test your classes for conformance to Valkyrie's API. When breaking changes are introduced, necessitating a major version change, the shared specs will reflect this. Likewise, non-breaking changes to Valkyrie can be defined as code changes that do not cause any errors with the current shared specs. Using the shared specs in your own models is described in more [detail](https://github.com/samvera-labs/valkyrie/wiki/Shared-Specs). ### Define a Custom Work Define a custom work class: ``` # frozen_string_literal: true class MyModel < Valkyrie::Resource include Valkyrie::Resource::AccessControls attribute :title, Valkyrie::Types::Set # Sets are unordered attribute :authors, Valkyrie::Types::Array # Arrays are ordered end ``` Defining resource attributes is explained in greater detail within the [Wiki](https://github.com/samvera-labs/valkyrie/wiki/Using-Types). #### Work Types Generator To create a custom Valkyrie model in your application, you can use the Rails generator. For example, to generate a model named `FooBar` with an unordered `title` field and an ordered `member_ids` field: ``` rails generate valkyrie:resource FooBar title member_ids:array ``` You can namespace your model class by including a slash in the model name: ``` rails generate valkyrie:resource Foo/Bar title member_ids:array ``` ### Read and Write Data ``` # initialize a metadata adapter adapter = Valkyrie::MetadataAdapter.find(:postgres) # create an object object1 = MyModel.new title: 'My Cool Object', authors: ['Jones, Alice', 'Smith, Bob'] object1 = adapter.persister.save(resource: object1) # load an object from the database object2 = adapter.query_service.find_by(id: object1.id) # load all objects objects = adapter.query_service.find_all # load all MyModel objects Valkyrie.config.metadata_adapter.query_service.find_all_of_model(model: MyModel) ``` The usage of `ChangeSets` in writing data are further documented [here](https://github.com/samvera-labs/valkyrie/wiki/ChangeSets-and-Dirty-Tracking). ### Concurrency Support (Optimistic Locking) By default, it is assumed that a Valkyrie repository implementation shall use a solution supporting concurrent updates for resources (multiple resources can be updated simultaneously using a Gem such as [Sidekiq](https://github.com/mperham/sidekiq)). In order to handle the possibility of multiple updates applied to the same resource corrupting data, Valkyrie supports optimistic locking. For further details, please reference the [overview of optimistic locking for Valkyrie resources](https://github.com/samvera-labs/valkyrie/wiki/Optimistic-Locking). ## Installing a Development environment ### Without Docker #### External Requirements * PostgreSQL with the uuid-ossp extension. * Note: Enabling uuid-ossp requires database superuser privileges. * From `psql`: `alter user [username] with superuser;` #### To run the test suite 1. Start Solr and Fedora servers for testing with `rake server:test` 1. Run `rake db:create` (First time only) 1. Run `rake db:migrate` ### With Docker #### External Requirements * [Docker](https://store.docker.com/search?offering=community&type=edition) version >= 17.09.0 * ### Dependency Setup (Mac OSX) 1. `brew install docker` 1. `brew install docker-machine` 1. `brew install docker-compose` ### Starting Docker (Mac OSX) 1. `docker-machine create default` 1. `docker-machine start default` 1. `eval "$(docker-machine env)"` #### Starting the development mode dependencies 1. Start Solr, Fedora, and PostgreSQL with `rake docker:dev:daemon` (or `rake docker:dev:up` in a separate shell to run them in the foreground) 1. Run `rake db:create db:migrate` to initialize the database 1. Develop! 1. Run `rake docker:dev:down` to stop the server stack * Development servers maintain data between runs. To clean them out, run `rake docker:dev:clean` #### To run the test suite with all dependencies in one go 1. `rake docker:spec` #### To run the test suite manually 1. Start Solr, Fedora, and PostgreSQL with `rake docker:test:daemon` (or `rake docker:test:up` in a separate shell to run them in the foreground) 1. Run `rake db:create db:migrate` to initialize the database 1. Run the gem's RSpec test suite with `rspec spec` or `rake` 1. Run `rake docker:test:down` to stop the server stack * The test stack cleans up after itself on exit. The development and test stacks use fully contained virtual volumes and bind all services to different ports, so they can be running at the same time without issue. ## Get Help If you have any questions regarding Valkyrie you can send a message to [the Samvera community tech list](mailto:samvera-tech@googlegroups.com) or the `#valkyrie` channel in the [Samvera community Slack team](https://wiki.duraspace.org/pages/viewpage.action?pageId=87460391#Getintouch!-Slack). ## License Valkyrie is available under [the Apache 2.0 license](../LICENSE). ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/samvera-labs/valkyrie/.