108 lines
3.4 KiB
JavaScript
108 lines
3.4 KiB
JavaScript
const jaro = require('talisman/metrics/distance/jaro')
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const _ = require('lodash/fp')
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const logger = require('../logger')
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const stringSimilarity = _.curry(jaro)
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// birth date
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function isDateWithinSomeDaysOfPeriod (period, date, days) {
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const inMillisecs = 24 * 60 * 60 * 1000
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const startTime = period.start.date.getTime() - days * inMillisecs
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const startDate = new Date(startTime)
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const endTime = period.end.date.getTime() + days * inMillisecs
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const endDate = new Date(endTime)
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return (startDate < date && date < endDate)
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}
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const isBornTooLongSince = _.curry((days, dateObject, individual) => {
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if (!dateObject) return false
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if (_.isEmpty(individual.birthDatePeriods)) return false
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const isWithinSomeYears = _.partialRight(isDateWithinSomeDaysOfPeriod, [dateObject.date, days])
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return !_.some(isWithinSomeYears, individual.birthDatePeriods)
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})
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// algorithm
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function match (structs, candidate, options) {
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const {threshold, fullNameThreshold, ratio = 0.5, verboseFor} = options
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const {fullName, words, birthDate} = candidate
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// Accept aliases who's full name matches.
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const doesNameMatch = _.flow(
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_.get('fullName'),
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stringSimilarity(fullName),
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_.lte(fullNameThreshold)
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)
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const aliases = _.flatMap(_.get('aliases'), structs.individuals)
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const aliasIdsFromFullName = _.flow(
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_.filter(doesNameMatch),
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_.map(_.get('id'))
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)(aliases)
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const phoneticWeight = ratio
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const stringWeight = 1 - phoneticWeight
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const matches = []
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for (const word of words) {
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const getPhonetic = phonetic => structs.phoneticMap.get(phonetic)
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const phoneticMatches = new Set(_.flatMap(getPhonetic, word.phonetics))
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for (const wordEntry of structs.wordList) {
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const stringScore = stringSimilarity(word.value, wordEntry.value)
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const verbose = _.includes(wordEntry.value, verboseFor)
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for (const aliasId of wordEntry.aliasIds) {
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const phoneticScore = phoneticMatches.has(aliasId) ? 1 : -1
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const finalScore = stringWeight * stringScore + phoneticWeight * phoneticScore
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verbose && logger.debug(finalScore.toFixed(2), stringScore.toFixed(2), phoneticScore.toFixed(2), word.value, wordEntry.value)
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if (finalScore >= threshold) {
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const entry = {aliasId, score: finalScore, word: word.value, value: wordEntry.value}
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const index = _.sortedIndexBy(x => -x.score, entry, matches)
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matches.splice(index, 0, entry)
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}
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}
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}
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}
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const sameWord = (a, b) => a.aliasId === b.aliasId && a.word === b.word
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const sameValue = (a, b) => a.aliasId === b.aliasId && a.value === b.value
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const aliasIdsFromNamePart = _.flow(
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_.uniqWith(sameWord),
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_.uniqWith(sameValue),
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_.map(_.get('aliasId')),
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_.countBy(_.identity),
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_.toPairs,
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_.filter(([aliasId, count]) => {
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const {length} = structs.aliasesMap.get(aliasId).words
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return (count >= _.min([2, words.length, length]))
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}),
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_.map(_.first)
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)(matches)
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// Get the full record for each matched id
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const getIndividual = aliasId => {
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const individualId = structs.aliasToIndividual.get(aliasId)
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return structs.individualsMap.get(individualId)
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}
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const suspects = _.uniq(_.map(getIndividual, [
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...aliasIdsFromFullName,
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...aliasIdsFromNamePart
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]))
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// Reject everyone who is born two years away.
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const twoYears = 365 * 2
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const unqualified = isBornTooLongSince(twoYears, birthDate)
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return _.reject(unqualified, suspects)
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}
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module.exports = {match}
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