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import type {Dict} from './storage'
import type {TermResources} from './resources'
import {unpackSynsetMembers} from './synset'
import type {FixedTerm, FuzzyTerm} from './term'
import {globToRegex, prepareRegex, relativeFrequency, termBounds, wildcard} from './lib/utils'
import type {GridRow} from './table'
const Processed: {[index: string]: FuzzyTerm | FixedTerm} = {}
const PartialMatchMap: {[index: string]: string} = {}
export async function extractMatches(
term: string,
ex: RegExp,
from: {[index: string]: string},
out: string[] = [],
limit = Infinity
) {
const collapsed = from[ex.source[1] in from ? ex.source[1] : 'all']
for (let match: RegExpExecArray | null, cleaned = ''; out.length < limit && (match = ex.exec(collapsed)); ) {
cleaned = match[0].replace(termBounds, '')
Eif (cleaned) {
out.push(cleaned)
if (term && !(cleaned in PartialMatchMap)) {
PartialMatchMap[cleaned] = term
}
}
}
}
export function getFuzzyParent(term: string) {
return term in PartialMatchMap ? PartialMatchMap[term] : ''
}
function makeLookups({lemma, related, synset_terms, lookup}: FixedTerm) {
lemma.forEach(term => {
lookup.any[term] = true
lookup.lemma[term] = true
lookup.lemma_map.set(term, true)
})
related.forEach(term => {
lookup.any[term] = true
lookup.related[term] = true
lookup.related_map.set(term, true)
})
synset_terms.forEach(term => {
lookup.any[term] = true
lookup.synset[term] = true
lookup.synset_map.set(term, true)
})
}
type LogicalObject = {[index: string]: boolean}
async function objectAppend(any: LogicalObject, to: LogicalObject, from: Map<string, boolean>) {
from.forEach((_, k) => {
any[k] = true
to[k] = true
})
}
async function makeExpandedLookups(processed: FixedTerm, data: TermResources) {
const lookup = processed.lookup
const any = lookup.any
processed.lemma.forEach(term => {
const relatedLookup = (getProcessedTerm(term, data) as FixedTerm).lookup
objectAppend(any, lookup.lemma_related, relatedLookup.related_map)
objectAppend(any, lookup.lemma_synset, relatedLookup.synset_map)
})
processed.related.forEach(term => {
const relatedLookup = (getProcessedTerm(term, data) as FixedTerm).lookup
objectAppend(any, lookup.related_lemma, relatedLookup.lemma_map)
objectAppend(any, lookup.related_related, relatedLookup.related_map)
objectAppend(any, lookup.related_synset, relatedLookup.synset_map)
})
processed.synset_terms.forEach(term => {
const relatedLookup = (getProcessedTerm(term, data) as FixedTerm).lookup
objectAppend(any, lookup.synset_lemma, relatedLookup.lemma_map)
objectAppend(any, lookup.synset_related, relatedLookup.related_map)
objectAppend(any, lookup.synset_synset, relatedLookup.synset_map)
})
lookup.expanded = true
lookup.map = new Map(Object.keys(any).map(term => [term, true]))
}
function makeFixedTerm(term: string, data: TermResources) {
const {terms, lemmas, termLookup, termAssociations, synsetInfo} = data
const processed = {
type: 'fixed',
term: term,
term_type: 'fixed',
categories: {},
recognized: false,
index: terms && termLookup ? termLookup[term] || -1 : -1,
lemma: [],
related: [],
synsets: [],
synset_terms: [],
lookup: {
expanded: false,
map: new Map(),
any: {},
lemma: {},
lemma_map: new Map(),
lemma_related: {},
lemma_synset: {},
related: {},
related_map: new Map(),
related_lemma: {},
related_related: {},
related_synset: {},
synset: {},
synset_map: new Map(),
synset_lemma: {},
synset_related: {},
synset_synset: {},
},
} as FixedTerm
if (termAssociations && synsetInfo && lemmas && terms && -1 !== processed.index) {
processed.recognized = true
const associated = termAssociations[processed.index]
processed.related =
associated && associated[0] && Array.isArray(associated[0])
? associated[0].filter((_, i) => !!i).map(index => terms[index - 1])
: []
processed.synsets =
associated && associated[1]
? (Array.isArray(associated[1]) ? associated[1] : [associated[1]]).map(index => synsetInfo[index - 1])
: []
const senseRelated: Set<string> = new Set()
processed.synsets.forEach(synset => {
unpackSynsetMembers(synset, terms, synsetInfo).forEach(member => {
if (member !== processed.term) senseRelated.add(member)
})
})
processed.synset_terms = Array.from(senseRelated)
const lemma =
terms && lemmas && term in lemmas
? lemmas['number' === typeof lemmas[term] ? terms[lemmas[term] as number] : term]
: []
processed.lemma = 'number' === typeof lemma ? [terms[lemma]] : lemma.map(index => terms[index])
makeLookups(processed)
}
return processed
}
function attemptRegex(term: string, flags?: string) {
try {
return new RegExp(term, flags)
} catch {
return term
}
}
function processTerm(term: string | RegExp, data: TermResources) {
const isString = 'string' === typeof term
if (isString && !wildcard.test(term)) {
return makeFixedTerm(term, data)
} else {
const processed = isString ? globToRegex(term) : term.source
const container = {
type: 'fuzzy',
term_type: isString ? 'glob' : 'regex',
term: isString ? term : term.source,
categories: {},
recognized: false,
regex: attemptRegex(isString ? processed : prepareRegex(processed), 'g'),
matches: [],
} as FuzzyTerm
Eif (data.collapsedTerms) {
extractMatches(container.term, container.regex, data.collapsedTerms, container.matches)
}
container.recognized = !!container.matches.length
return container
}
}
export function getProcessedTerm(id: string | RegExp, data: TermResources, dict?: Dict, expand?: boolean) {
const registered = 'string' === typeof id && dict && id in dict
const term = registered && dict[id].term ? dict[id].term : id
const type = registered && dict[id].type === 'regex' ? 'regex' : 'fixed'
const key = term + '_' + type
if (!(key in Processed)) {
Processed[key] = processTerm(type === 'regex' ? attemptRegex(term as string) : (term as RegExp), data)
}
const processed = Processed[key]
if (expand && processed.type === 'fixed' && !processed.lookup.expanded) {
makeExpandedLookups(processed, data)
}
return processed
}
export async function makeRow(rows: GridRow[], index: number, id: string, dict: Dict, data: TermResources) {
const processed = getProcessedTerm(id, data, dict)
const dictEntry = dict[id]
const row: GridRow =
processed.type === 'fixed'
? {
processed,
dictEntry,
id,
term: dictEntry.term || id,
sense: dictEntry.sense,
matches: processed.recognized ? 1 : 0,
ncats: Object.keys(dictEntry.categories).length,
frequency: relativeFrequency(processed.index, data.terms && data.terms.length).toFixed(2),
senses: processed.synsets.length,
related: processed.related.length,
}
: {
processed,
dictEntry,
id,
term: dictEntry.term || id,
sense: dictEntry.sense,
matches: processed.matches.length,
ncats: Object.keys(dictEntry.categories).length,
}
Eif (dictEntry.categories) {
const cats = dictEntry.categories
Object.keys(cats).forEach(cat => {
row['category_' + cat] = cats[cat]
})
}
rows[index] = row
}
export async function makeRows(dict: Dict, data: TermResources, progress?: (perc: number) => void) {
clearTimeout(timers.dictionary)
return new Promise<GridRow[]>(resolve => {
const ids = Object.freeze(Object.keys(dict))
const n_ids = ids.length
const limit = 1000
const rows: GridRow[] = new Array(n_ids)
let i = 0
let batch_i = 0
const runBatch = () => {
clearTimeout(timers.dictionary)
for (; i < n_ids && batch_i < limit; i++, batch_i++) {
makeRow(rows, i, ids[i], dict, data)
}
Iif (i !== n_ids) {
batch_i = 0
Iif (progress) progress(i / n_ids)
timers.dictionary = setTimeout(runBatch, 0)
} else {
Iif (progress) progress(1)
resolve(rows)
}
}
timers.dictionary = setTimeout(runBatch, 0)
})
}
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