# frozen_string_literal: true

require 'spec_helper'

describe Briard::Metadata, vcr: true do
  context 'write metadata as datacite json' do
    it 'with data citation' do
      input = '10.7554/eLife.01567'
      subject = described_class.new(input: input, from: 'crossref')
      datacite = JSON.parse(subject.datacite_json)
      expect(datacite.fetch('url')).to eq('https://elifesciences.org/articles/01567')
      expect(datacite.fetch('types')).to eq('bibtex' => 'article', 'citeproc' => 'article-journal',
                                            'resourceType' => 'JournalArticle', 'resourceTypeGeneral' => 'JournalArticle', 'ris' => 'JOUR', 'schemaOrg' => 'ScholarlyArticle')
      expect(datacite.fetch('titles')).to eq([{ 'title' => 'Automated quantitative histology reveals vascular morphodynamics during Arabidopsis hypocotyl secondary growth' }])
      expect(datacite.fetch('relatedIdentifiers').length).to eq(28)
      expect(datacite.fetch('relatedIdentifiers').first).to eq('relatedIdentifier' => '2050-084X',
                                                               'relatedIdentifierType' => 'ISSN', 'relationType' => 'IsPartOf', 'resourceTypeGeneral' => 'Collection')
      expect(datacite.fetch('rightsList')).to eq([{ 'rights' => 'Creative Commons Attribution 3.0 Unported',
                                                    'rightsIdentifier' => 'cc-by-3.0',
                                                    'rightsIdentifierScheme' => 'SPDX',
                                                    'rightsUri' => 'https://creativecommons.org/licenses/by/3.0/legalcode',
                                                    'schemeUri' => 'https://spdx.org/licenses/' }])
    end

    it 'with ORCID ID' do
      input = 'https://doi.org/10.1155/2012/291294'
      subject = described_class.new(input: input, from: 'crossref')
      datacite = JSON.parse(subject.datacite_json)
      expect(datacite.fetch('url')).to eq('http://www.hindawi.com/journals/pm/2012/291294/')
      expect(datacite.fetch('types')).to eq('bibtex' => 'article', 'citeproc' => 'article-journal',
                                            'resourceType' => 'JournalArticle', 'resourceTypeGeneral' => 'JournalArticle', 'ris' => 'JOUR', 'schemaOrg' => 'ScholarlyArticle')
      expect(datacite.fetch('creators').length).to eq(7)
      expect(datacite.fetch('creators').first).to eq('nameType' => 'Personal',
                                                     'name' => 'Thanassi, Wendy', 'givenName' => 'Wendy', 'familyName' => 'Thanassi', 'affiliation' => [{ 'name' => 'Department of Medicine, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue MC-, Palo Alto, CA 94304-1207, USA' }, { 'name' => 'Occupational Health Strategic Health Care Group, Office of Public Health, Veterans Health Administration, Washington, DC 20006, USA' }, { 'name' => 'Division of Emergency Medicine, Stanford University School of Medicine, Stanford, CA 94304, USA' }, { 'name' => 'War Related Illness and Injury Study Center (WRIISC) and Mental Illness Research Education and Clinical Center (MIRECC), Department of Veterans Affairs, Palo Alto, CA 94304, USA' }])
    end

    it 'Crossref DOI' do
      input = "#{fixture_path}crossref.bib"
      subject = described_class.new(input: input, from: 'bibtex')
      datacite = JSON.parse(subject.datacite_json)
      expect(datacite.fetch('types')).to eq('bibtex' => 'article', 'citeproc' => 'article-journal',
                                            'resourceType' => 'JournalArticle', 'resourceTypeGeneral' => 'JournalArticle', 'ris' => 'JOUR', 'schemaOrg' => 'ScholarlyArticle')
      expect(datacite.fetch('titles')).to eq([{ 'title' => 'Automated quantitative histology reveals vascular morphodynamics during Arabidopsis hypocotyl secondary growth' }])
      expect(datacite.dig('descriptions', 0,
                          'description')).to start_with('Among various advantages, their small size makes model organisms preferred subjects of investigation.')
      expect(datacite.fetch('creators').length).to eq(5)
      expect(datacite.fetch('creators').first).to eq('nameType' => 'Personal',
                                                     'name' => 'Sankar, Martial', 'givenName' => 'Martial', 'familyName' => 'Sankar')
    end

    it 'BlogPosting Citeproc JSON' do
      input = "#{fixture_path}citeproc.json"
      subject = described_class.new(input: input, from: 'citeproc')
      datacite = JSON.parse(subject.datacite_json)
      expect(datacite.fetch('types')).to eq('bibtex' => 'article', 'citeproc' => 'post-weblog',
                                            'resourceTypeGeneral' => 'Text', 'ris' => 'GEN', 'schemaOrg' => 'BlogPosting')
      expect(datacite.fetch('titles')).to eq([{ 'title' => 'Eating your own Dog Food' }])
      expect(datacite.dig('descriptions', 0,
                          'description')).to start_with('Eating your own dog food')
      expect(datacite.fetch('creators')).to eq([{ 'familyName' => 'Fenner', 'givenName' => 'Martin',
                                                  'name' => 'Fenner, Martin' }])
    end

    it 'rdataone' do
      input = "#{fixture_path}codemeta.json"
      subject = described_class.new(input: input, from: 'codemeta')
      datacite = JSON.parse(subject.datacite_json)
      expect(datacite.fetch('titles')).to eq([{ 'title' => 'R Interface to the DataONE REST API' }])
      expect(datacite.fetch('creators').length).to eq(3)
      expect(datacite.fetch('creators').first).to eq('affiliation' => [{ 'name' => 'NCEAS' }], 'nameType' => 'Personal', 'name' => 'Jones, Matt',
                                                     'nameIdentifiers' => [{ 'nameIdentifier' => 'https://orcid.org/0000-0003-0077-4738', 'nameIdentifierScheme' => 'ORCID', 'schemeUri' => 'https://orcid.org' }], 'givenName' => 'Matt', 'familyName' => 'Jones')
      expect(datacite.fetch('version')).to eq('2.0.0')
    end

    it 'maremma' do
      input = 'https://github.com/datacite/maremma'
      subject = described_class.new(input: input, from: 'codemeta')
      datacite = JSON.parse(subject.datacite_json)
      expect(datacite.fetch('titles')).to eq([{ 'title' => 'Maremma: a Ruby library for simplified network calls' }])
      expect(datacite.fetch('creators')).to eq([{ 'affiliation' => [{ 'name' => 'DataCite' }],
                                                  'familyName' => 'Fenner',
                                                  'givenName' => 'Martin',
                                                  'name' => 'Fenner, Martin',
                                                  'nameIdentifiers' =>
         [{ 'nameIdentifier' => 'https://orcid.org/0000-0003-0077-4738',
            'nameIdentifierScheme' => 'ORCID', 'schemeUri' => 'https://orcid.org' }],
                                                  'nameType' => 'Personal' }])
    end

    it 'from schema.org' do
      input = 'https://blog.front-matter.io/posts/eating-your-own-dog-food/'
      subject = described_class.new(input: input, from: 'schema_org')
      expect(subject.valid?).to be true
      datacite = JSON.parse(subject.datacite_json)
      expect(datacite.fetch('titles')).to eq([{ 'title' => 'Eating your own Dog Food' }])
      expect(datacite.fetch('creators')).to eq([{ 'affiliation' => [],
                                                  'familyName' => 'Fenner',
                                                  'givenName' => 'Martin',
                                                  'name' => 'Fenner, Martin',
                                                  'nameIdentifiers' =>
       [{ 'nameIdentifier' => 'https://orcid.org/0000-0003-1419-2405',
          'nameIdentifierScheme' => 'ORCID', 'schemeUri' => 'https://orcid.org' }],
                                                  'nameType' => 'Personal' }])
    end
  end
end