# 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 = Briard::Metadata.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 = Briard::Metadata.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 = Briard::Metadata.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 = Briard::Metadata.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 = Briard::Metadata.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 = Briard::Metadata.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 = Briard::Metadata.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