automatically parse url as id for cff

src/citation-js/plugin-cff/index.js

@@ -642,19 +642,28 @@ const mainTranslator = new util.Translator(MAIN_PROPS)
 const refTranslator = new util.Translator(REF_PROPS)
 const CFF_VERSION = '1.2.0'
 
+/** Add doi or url as unique id if available to make citation easy */
+function addId(entry) {
+  if ('DOI' in entry) {
+    entry.id = entry.DOI
+  } else if ('URL' in entry) {
+    entry.id = entry.URL.replace("http://", "").replace("https://", "")
+  }
+}
+
 function parse(input) {
   const main = mainTranslator.convertToTarget(input)
   if (input['cff-version'] <= '1.1.0') {
     main.type = TYPES_TO_TARGET.software
   }
   main._cff_mainReference = true
-  // Use identifier as unique id to make citation easy
-  if ('DOI' in main) {
-    main.id = main.DOI
-  }
+  addId(main)
+
   const output = [main]
   if (input['preferred-citation']) {
-    output.push(refTranslator.convertToTarget(input['preferred-citation']))
+    const preferredCitation = refTranslator.convertToTarget(input['preferred-citation'])
+    addId(preferredCitation)
+    output.push(preferredCitation)
   }
 
   if (Array.isArray(input.references)) {

src/gen-citation.js

@@ -82,12 +82,12 @@ export const genCitation = (
       const output = isComposite
         ? `<a href="#bib-${entries[0].id.toLowerCase()}">${citationText}</a>`
         : `${citationText.slice(
-            0,
-            1
-          )}<a href="#bib-${entries[0].id.toLowerCase()}">${citationText.slice(
-            1,
-            -1
-          )}</a>${citationText.slice(-1)}`
+          0,
+          1
+        )}<a href="#bib-${entries[0].id.toLowerCase()}">${citationText.slice(
+          1,
+          -1
+        )}</a>${citationText.slice(-1)}`
       return [
         citationText,
         htmlToHast(`<span class="${(inlineClass ?? []).join(' ')}" id=${ids}>${output}</span>`),

test/index.js

@@ -7,6 +7,7 @@ import rehypeCitation from '../index.js'
 const bibliography = './test/references-data.bib'
 const cslJSON = './test/csl-json-data.json'
 const cff = './test/CITATION.cff'
+const urlCff = "./test/pytorch-CITATION.cff"
 
 const processHtml = (html, options, input = bibliography) => {
   return rehype()
@@ -277,7 +278,7 @@ rehypeCitationTest('generates multiple inline bibs', async () => {
   assert.is(result, expected)
 })
 
-rehypeCitationTest('works with cff file', async () => {
+rehypeCitationTest('works with cff file and add doi as id', async () => {
   const result = await processHtml(
     dedent`<div>[@10.5281/zenodo.1234]<</div>`,
     { suppressBibliography: true },
@@ -287,4 +288,14 @@ rehypeCitationTest('works with cff file', async () => {
   assert.is(result, expected)
 })
 
+rehypeCitationTest('adds url as id for preferred citation', async () => {
+  const result = await processHtml(
+    dedent`<div>[@papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf]<</div>`,
+    { suppressBibliography: true },
+    urlCff
+  )
+  const expected = dedent`<div><span class="" id="citation--papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf--1">(Paszke et al., 2019)</span>&#x3C;</div>`
+  assert.is(result, expected)
+})
+
 rehypeCitationTest.run()

test/pytorch-CITATION.cff

@@ -0,0 +1,73 @@
+cff-version: 1.2.0
+message: If you use this software, please cite it as below.
+title: PyTorch
+authors:
+  - family-names: PyTorch Team
+url: https://pytorch.org
+preferred-citation:
+  type: conference-paper
+  title: 'PyTorch: An Imperative Style, High-Performance Deep Learning Library'
+  authors:
+    - family-names: Paszke
+      given-names: Adam
+    - family-names: Gross
+      given-names: Sam
+    - family-names: Massa
+      given-names: Francisco
+    - family-names: Lerer
+      given-names: Adam
+    - family-names: Bradbury
+      given-names: James
+    - family-names: Chanan
+      given-names: Gregory
+    - family-names: Killeen
+      given-names: Trevor
+    - family-names: Lin
+      given-names: Zeming
+    - family-names: Gimelshein
+      given-names: Natalia
+    - family-names: Antiga
+      given-names: Luca
+    - family-names: Desmaison
+      given-names: Alban
+    - family-names: Kopf
+      given-names: Andreas
+    - family-names: Yang
+      given-names: Edward
+    - family-names: DeVito
+      given-names: Zachary
+    - family-names: Raison
+      given-names: Martin
+    - family-names: Tejani
+      given-names: Alykhan
+    - family-names: Chilamkurthy
+      given-names: Sasank
+    - family-names: Steiner
+      given-names: Benoit
+    - family-names: Fang
+      given-names: Lu
+    - family-names: Bai
+      given-names: Junjie
+    - family-names: Chintala
+      given-names: Soumith
+  collection-title: Advances in Neural Information Processing Systems 32
+  collection-type: proceedings
+  editors:
+    - family-names: Wallach
+      given-names: H.
+    - family-names: Larochelle
+      given-names: H.
+    - family-names: Beygelzimer
+      given-names: A.
+    - family-names: "d'Alché-Buc"
+      given-names: F.
+    - family-names: Fox
+      given-names: E.
+    - family-names: Garnett
+      given-names: R.
+  start: 8024
+  end: 8035
+  year: 2019
+  publisher:
+    name: Curran Associates, Inc.
+  url: http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf