Upstream spencermountain/compromise state of the touched files before f65ca4648e
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<div align="center">
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<img src="https://cloud.githubusercontent.com/assets/399657/23590290/ede73772-01aa-11e7-8915-181ef21027bc.png" />
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<div>An ad-hoc datastore for <a href="https://github.com/spencermountain/compromise/">compromise</a></div>
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<!-- npm version -->
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<a href="https://npmjs.org/package/compromise-payload">
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<img src="https://img.shields.io/npm/v/compromise-payload.svg?style=flat-square" />
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</a>
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<!-- file size -->
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<a href="https://unpkg.com/compromise-payload/builds/compromise-payload.min.js">
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<img src="https://img.shields.io/bundlephobia/min/compromise-payload" />
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</a>
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<div align="center">
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<code>npm install compromise-payload</code>
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</div>
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</div>
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<!-- spacer -->
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<img height="30px" src="https://user-images.githubusercontent.com/399657/68221862-17ceb980-ffb8-11e9-87d4-7b30b6488f16.png"/>
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This plugin provides a facilty for storing a retreiving more complex data than tags, for compromise documents and matches.
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### Payload
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```js
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import plg from 'compromise-payload'
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nlp.extend(plg)
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let doc = nlp('i saw John Lennon in Manchester, and Bob Dylan in Southhampton')
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// markup metadata
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doc.match('(john lennon|bob dylan)').addPayload({ instrument: 'guitar' })
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// add more
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doc.people().forEach(m => {
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if (m.has('lennon')) {
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m.addPayload({ height: `5'11` })
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}
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if (m.has('ringo')) {
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m.addPayload({ height: `5'8` })
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}
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})
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// retrieve specific payloads
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doc.match('john lennon').getPayloads()
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doc.match('bob dylabn').getPayloads()
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// retrieve them all
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doc.getPayloads()
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// inspect given payloads:
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doc.debug('payload')
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```
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You can also pass a callback into `.addPayload()`:
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```js
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let doc = nlp('i saw John Lennon, and john smith and bob dylan')
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doc.people().addPayload(m => {
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return { lastName: m.terms().last().text() }
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})
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```
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You can remove all, or selected payloads with `.clearPayload()`:
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```js
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doc.match('bob .').clearPayloads()
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doc.getPayloads().length // now 2
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doc.clearPayloads()
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doc.getPayloads().length // now 0
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```
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### Limitations
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Payloads are saved by sentence number and term position, in one store that every document from the same `nlp` shares. That means:
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- **Removing a sentence breaks the payloads that come after it.** They move to the wrong sentence, and the last one can go missing. Add payloads after you remove sentences, or add them again. Changing words inside a sentence is fine.
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```js
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let doc = nlp('One is red. Two is blue. Three is green.')
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doc.match('(red|blue|green)').forEach(m => m.addPayload({ color: m.text() }))
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doc.remove('two is blue')
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doc.getPayloads().map(p => [p.match.text(), p.val.color])
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// [['red', 'red'], ['Three is green', 'blue']]
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```
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- **A new document can see payloads from an older one** at the same sentence and term positions. Call `.clearPayloads()` on a document when you are done with it.
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```js
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nlp('the red car').match('car').addPayload({ kind: 'vehicle' })
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nlp('a blue bike').getPayloads().length // 1, from the first document
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```
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See [#1188](https://github.com/spencermountain/compromise/issues/1188).
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MIT
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