wehub-resource-sync
85 lines
2.5 KiB
JavaScript
85 lines
2.5 KiB
JavaScript
import test from 'tape'
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import nlp from './_lib.js'
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const here = '[date/durations]'
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test('durations vs dates', function (t) {
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const arr = [
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`30mins tuesday`,
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`30 minutes on tuesday`,
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`30 minutes on january 2nd`,
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`tuesday for 30 mins`,
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`january 1st 2020 for 30 mins`,
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]
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arr.forEach((str) => {
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const doc = nlp(str)
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const dates = doc.dates().get()[0] || {}
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const durations = doc.durations().get()[0] || {}
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t.ok(dates.start, `[date] ${str}`)
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t.equal(durations.minute, 30, `[duration] ${str}`)
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})
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t.end()
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})
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test('in 4 mins', function (t) {
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let doc = nlp(`in 20 mins`)
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t.equal(doc.dates().found, true, 'in-20 mins Date')
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t.equal(doc.durations().found, false, 'in-20 mins !Duration')
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doc = nlp(`for 20 mins`)
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t.equal(doc.dates().found, false, 'for-20 mins !Date')
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t.equal(doc.durations().found, true, 'for-20 mins Duration')
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doc = nlp(`20 minutes`)
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t.equal(doc.dates().found, false, '20 mins !Date')
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t.equal(doc.durations().found, true, '20 mins Duration')
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t.end()
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})
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test('durations json', function (t) {
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const doc = nlp('blah blah two hours and 8 mins foobar')
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const json = doc.durations().json()[0] || { duration: {} }
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t.equal(json.duration.hour, 2, '2 hours')
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t.equal(json.duration.minute, 8, '8 minute')
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t.end()
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})
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test('one-word durations', function (t) {
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const arr = [
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// ['20m', { minute: 20 }],
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['20min', { minute: 20 }],
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['20mins', { minute: 20 }],
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['10mins', { minute: 10 }],
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['1min', { minute: 1 }],
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['1sec', { second: 1 }],
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['1 sec', { second: 1 }],
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]
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arr.forEach((a) => {
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const doc = nlp(a[0])//.tag('Duration')
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const found = doc.durations().get()[0]
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t.deepEqual(found, a[1], here + a[0])
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})
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t.end()
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})
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// test('durations normalize', function (t) {
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// let arr = [
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// ['blah blah two hours and 8 mins foobar', 'blah blah 2 hours and 8 minutes foobar'],
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// ['seventy-two years', '72 years'],
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// ['12 years and 2 months', '12 years and 2 months'],
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// ['12.3 years', '12.3 years'],
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// ['12 years and one month', '12 years and 1 month'],
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// ['12 yrs and 2 hrs', '12 years and 2 hours'],
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// ['2mins please', '2 minutes please'],
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// ['5yrs and 3 months', '5 years and 3 months'],
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// // ['three quarters', '3 quarters'],
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// // no duration
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// ['food wholesale prices for hours', 'food wholesale prices for hours'],
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// ]
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// arr.forEach((a) => {
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// let doc = nlp(a[0])
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// doc.durations().normalize()
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// t.equal(doc.text(), a[1], a[0])
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// })
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// t.end()
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// })
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