2022-06-30 19:19:36 +03:00
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import path from 'path'
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import fs from 'fs'
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2022-07-01 20:42:23 +03:00
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import { composeFromPattern } from '@nlpjs/utils'
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2022-06-30 19:19:36 +03:00
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import log from '@/helpers/log'
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import domain from '@/helpers/domain'
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import json from '@/helpers/json'
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/**
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* Train skills resolvers
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*/
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2022-09-03 14:12:41 +03:00
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export default (lang, nlp) =>
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new Promise(async (resolve) => {
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log.title('Skills resolvers training')
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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const [domainKeys, domains] = await Promise.all([
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domain.list(),
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domain.getDomainsObj()
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])
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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domainKeys.forEach((domainName) => {
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const currentDomain = domains[domainName]
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const skillKeys = Object.keys(currentDomain.skills)
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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skillKeys.forEach(async (skillName) => {
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const currentSkill = currentDomain.skills[skillName]
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const configFilePath = path.join(
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currentSkill.path,
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'config',
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`${lang}.json`
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)
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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if (fs.existsSync(configFilePath)) {
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const { resolvers } = await json.loadConfigData(configFilePath, lang)
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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if (resolvers) {
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const resolversKeys = Object.keys(resolvers)
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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resolversKeys.forEach((resolverName) => {
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const resolver = resolvers[resolverName]
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const intentKeys = Object.keys(resolver.intents)
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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log.info(
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`[${lang}] Training ${skillName} "${resolverName}" resolver...`
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)
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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intentKeys.forEach((intentName) => {
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const intent = `resolver.${currentSkill.name}.${resolverName}.${intentName}`
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const intentObj = resolver.intents[intentName]
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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nlp.assignDomain(lang, intent, currentDomain.name)
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2022-06-30 19:19:36 +03:00
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2022-09-03 14:12:41 +03:00
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intentObj.utterance_samples.forEach((utteranceSample) => {
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// Achieve Cartesian training
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const utteranceAlternatives =
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composeFromPattern(utteranceSample)
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2022-07-01 20:42:23 +03:00
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2022-09-03 14:12:41 +03:00
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utteranceAlternatives.forEach((utteranceAlternative) => {
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nlp.addDocument(lang, utteranceAlternative, intent)
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})
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2022-07-01 20:42:23 +03:00
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})
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2022-06-30 19:19:36 +03:00
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})
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2022-09-03 14:12:41 +03:00
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log.success(
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`[${lang}] ${skillName} "${resolverName}" resolver trained`
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)
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})
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}
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2022-06-30 19:19:36 +03:00
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}
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2022-09-03 14:12:41 +03:00
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})
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2022-06-30 19:19:36 +03:00
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})
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2022-09-03 14:12:41 +03:00
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resolve()
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})
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