Leave a spaced dash out of the text of a match that ends before it

plugins/dates/tests/regressions.test.js

@@ -167,3 +167,10 @@ test('a range does not stop other dates from splitting', (t) => {
   t.equal(res.length, 3, 'three dates found')
   t.end()
 })
+
+test('a trailing dash is not part of the date', (t) => {
+  const doc = nlp('2025-05-11 - They have taken the bridge and the Second Hall')
+  t.equal(doc.dates(context).text(), '2025-05-11', 'iso date before a dash')
+  t.equal(nlp('june 5 - june 7').dates(context).text(), 'june 5 - june 7', 'dash range')
+  t.end()
+})

src/1-one/output/api/_text.js

@@ -93,6 +93,10 @@ const textFromDoc = function (docs, opts) {
     const last = docs.at(-1)
     if (!last.at(-1).tags.has('Emoticon')) {
       text = trimEnd(text)
+      // removing a spaced dash leaves its space behind
+      if (!opts.keepSpace) {
+        text = text.trimEnd()
+      }
     }
     // kill end quotations
     if (text.endsWith(`'`) && !text.endsWith(`s'`)) {

src/1-one/output/api/text.js

@@ -4,6 +4,8 @@ import fmts from './_fmts.js'
 const isObject = val => {
   return Object.prototype.toString.call(val) === '[object Object]'
 }
+// a dash between two words, like '2025-05-11 - they'
+const spacedDash = /^\s+[-—]\s+$/
 
 export default {
   /** */
@@ -21,7 +23,8 @@ export default {
     }
     if (opts.keepEndPunct === undefined && this.pointer) {
       const ptr = this.pointer[0]
-      if (ptr?.[1]) {
+      const lastTerm = this.docs.at(-1)?.at(-1)
+      if (ptr?.[1] || spacedDash.test(lastTerm?.post)) {
         opts.keepEndPunct = false
       } else {
         opts.keepEndPunct = true

tests/one/change/whitespace.test.js

@@ -25,6 +25,12 @@ test('whitespace-out', function (t) {
   t.end()
 })
 
+test('match before a spaced dash', function (t) {
+  t.equal(nlp('june 5 - they left').match('june 5').text(), 'june 5', here + 'first words')
+  t.equal(nlp('i saw john - he left').match('john').text(), 'john', here + 'middle word')
+  t.end()
+})
+
 test('pre/post concat', function (t) {
   const doc = nlp(`Getting ready for whacking day? What's whacking day?`)
   doc.post(' ', true)