SnowLuma/.pnpm-store/v11/files/eb/58c5feaf43b0131759b287761a3df2d3a3af4b00e3f0d93afe987b236c655f22e53d467aa62517c0ccbd82462128596144647a7e87d3cdf34cec3586a2a23b

import findLevenshteinDistance, {
  FindLevenshteinDistanceResult,
} from '../../utils/levenshtein'
import Options from '../../Options'
import {
  DictionaryNames,
  DictionaryMatch,
  UserInputsOptions,
  MatcherBaseClass,
  RankedDictionaries,
} from '../../types'
import { DictionaryMatchOptions } from './types'
import mergeUserInputDictionary from '../../utils/mergeUserInputDictionary'

class MatchDictionary extends MatcherBaseClass {
  constructor(
    options: Options,
    protected wordSequenceCheck?: boolean,
  ) {
    super(options)
  }

  private getRangedDictionaries(userInputsOptions?: UserInputsOptions) {
    if (this.wordSequenceCheck) {
      const rankedDictionaries: RankedDictionaries = {}
      const rankedDictionariesMaxWordSize: Record<string, number> = {}
      Object.keys(this.options.rankedDictionaries).forEach((key) => {
        if (this.options.isWordSequence(key)) {
          rankedDictionaries[key] = this.options.rankedDictionaries[key]
          rankedDictionariesMaxWordSize[key] =
            this.options.rankedDictionariesMaxWordSize[key]
        }
      })
      return {
        rankedDictionaries,
        rankedDictionariesMaxWordSize,
      }
    }
    return mergeUserInputDictionary(
      this.options.rankedDictionaries,
      this.options.rankedDictionariesMaxWordSize,
      userInputsOptions,
    )
  }

  public match({
    password,
    userInputsOptions,
    useLevenshtein = true,
  }: DictionaryMatchOptions) {
    const matches: DictionaryMatch[] = []
    const passwordLength = password.length
    const passwordLower = password.toLowerCase()
    const { rankedDictionaries, rankedDictionariesMaxWordSize } =
      this.getRangedDictionaries(userInputsOptions)

    // eslint-disable-next-line complexity,max-statements
    Object.keys(rankedDictionaries).forEach((dictionaryName) => {
      const rankedDict = rankedDictionaries[dictionaryName as DictionaryNames]
      const longestDictionaryWordSize =
        rankedDictionariesMaxWordSize[dictionaryName]
      const searchWidth = Math.min(longestDictionaryWordSize, passwordLength)
      for (let i = 0; i < passwordLength; i += 1) {
        const searchEnd = Math.min(i + searchWidth, passwordLength)
        for (let j = i; j < searchEnd; j += 1) {
          const usedPassword = passwordLower.slice(i, j + 1 || 9e9)
          const isInDictionary = usedPassword in rankedDict
          let foundLevenshteinDistance: Partial<FindLevenshteinDistanceResult> =
            {}
          // only use levenshtein distance on full password to minimize the performance drop
          // and because otherwise there would be to many false positives
          const isFullPassword = i === 0 && j === passwordLength - 1
          if (
            this.options.useLevenshteinDistance &&
            isFullPassword &&
            !isInDictionary &&
            useLevenshtein
          ) {
            foundLevenshteinDistance = findLevenshteinDistance(
              usedPassword,
              rankedDict,
              this.options.levenshteinThreshold,
            )
          }
          const isLevenshteinMatch =
            Object.keys(foundLevenshteinDistance).length !== 0

          if (isInDictionary || isLevenshteinMatch) {
            const usedRankPassword = isLevenshteinMatch
              ? foundLevenshteinDistance.levenshteinDistanceEntry!
              : usedPassword

            const rank = rankedDict[usedRankPassword]
            matches.push({
              pattern: 'dictionary',
              i,
              j,
              token: password.slice(i, j + 1 || 9e9),
              matchedWord: usedPassword,
              rank,
              dictionaryName: dictionaryName,
              reversed: false,
              l33t: false,
              ...foundLevenshteinDistance,
            })
          }
        }
      }
    })
    return matches
  }
}

export default MatchDictionary