import getSentences from './ext/sbd'

declare const window: {
  find: (str: string, caseSensitive?: boolean) => boolean;
  getSelection: () => Selection
}

const encode = (str: string): string => {
  return str
    .replace(/&/g, '&')
    .replace(/"/g, '"')
    .replace(/'/g, ''')
    .replace(/</g, '&lt;')
    .replace(/>/g, '&gt;')
}

// div inside span is a bad idea
const blockElements = [
  'address',
  'article',
  'aside',
  'blockquote',
  'canvas',
  'dd',
  'div',
  'dl',
  'dt',
  'fieldset',
  'figcaption',
  'figure',
  'footer',
  'form',
  'h1',
  'h2',
  'h3',
  'h4',
  'h5',
  'h6',
  'header',
  'hgroup',
  'hr',
  'li',
  'main',
  'nav',
  'noscript',
  'ol',
  'output',
  'p',
  'pre',
  'section',
  'table',
  'tfoot',
  'ul',
  'video',
]

type ConstructorOptions = {
  content: string,
  isHTML?: boolean
}

type DirectSearchOptions = {
  caseSensitive?: boolean,
  encode?: boolean,
  lastHighlightIndex?: number
}

type FuzzySearchOptions = {
  caseSensitive?: boolean,
  tokenBased?: boolean,
  tbThreshold?: number,
  sentenceBased?: boolean,
  sbThreshold?: number,
  maxLengthDiff?: number,
  lenRatio?: number,
  processSentence?: (raw: string) => string
}

type EagerSearchOptions = {
  caseSensitive?: boolean,
  containerId: string,
  threshold?: number
}

type SearchOptions = {
  prefix?: string,
  postfix?: string,
  directSearchOptions?: DirectSearchOptions,
  fuzzySearchOptions?: FuzzySearchOptions,
  eagerSearchOptions?: EagerSearchOptions,
  trim?: boolean,
  caseSensitive?: boolean
}

type HighlightOptions = {
  highlightTagName?: string,
  highlightClass?: string,
  highlightIdPattern?: string
}

type Tag = number[]

type Sentence = {
  raw: string,
  index: number
}

type Highlight = {
  highlighted?: boolean
  loc: number[]
}

class TextAnnotator {
  content = ''
  // isHTML is used to reduce the memory used: stripedHTML is empty if isHTML is false
  isHTML = true

  originalContent = ''
  // annotatedContent is introduced in order to avoid passing content in the methods
  annotatedContent = ''
  // stripedHTML and tagLocations are needed only when the content is HTML
  stripedHTML = ''
  tagLocations: Tag[] = []
  // sentences are used in sentence-based fuzzy search
  sentences: Sentence[] = []
  // future work: one highlight can have more than one location because of the potential issue in tag insertion
  highlights: Highlight[] = []

  constructor(options: ConstructorOptions = {content: ''}) {
    const content = options.content
    const isHTML = options.isHTML === undefined || options.isHTML

    this.originalContent = this.annotatedContent = content
    this.isHTML = isHTML

    if (isHTML) {
      this.stripAndStoreHTMLTags()
    }
  }

  // the order of directSearch => fuzzy search => eager search is tailored for specific feature, it is now the default way of search but it can be customized via options. More customizations can be done by composing functions
  search(str: string, options: SearchOptions = {}): number {
    let prefix = options.prefix || ''
    let postfix = options.postfix || ''
    const directSearchOptions = options.directSearchOptions || {}
    const fuzzySearchOptions = options.fuzzySearchOptions
    const eagerSearchOptions = options.eagerSearchOptions
    // trim by default
    const trim = options.trim === undefined || options.trim
    // used unless overwritten
    const caseSensitive = options.caseSensitive

    if (trim) {
      const res = TextAnnotator.trim(prefix, str, postfix)
      prefix = res.prefix
      str = res.str
      postfix = res.postfix
    }

    let highlightIndex = -1

    // direct search will always be performed
    highlightIndex = this.directSearch(
      prefix,
      str,
      postfix,
      Object.assign({ caseSensitive }, directSearchOptions)
    )
    if (highlightIndex !== -1) {
      return highlightIndex
    }

    // experimental feature
    if (fuzzySearchOptions) {
      highlightIndex = this.fuzzySearch(
        prefix,
        str,
        postfix,
        Object.assign({ caseSensitive }, fuzzySearchOptions)
      )
      if (highlightIndex !== -1) {
        return highlightIndex
      }
    }

    // experimental feature
    // eager search only works in (particular) browsers
    if (eagerSearchOptions) {
      highlightIndex = this.eagerSearch(
        prefix,
        str,
        postfix,
        Object.assign({ caseSensitive }, eagerSearchOptions)
      )
      if (highlightIndex !== -1) {
        return highlightIndex
      }
    }

    return highlightIndex
  }

  // experimental feature
  // only support direct search for now
  searchAll(str: string, options: SearchOptions = {}): number[] {
    const highlightIndexes: number[] = []

    const continueSearch = (str: string, options: SearchOptions): void => {
      const highlightIndex = this.search(str, options)
      if (highlightIndex !== -1) {
        highlightIndexes.push(highlightIndex)
        options.directSearchOptions = options.directSearchOptions || {}
        options.directSearchOptions.lastHighlightIndex = highlightIndex
        continueSearch(str, options)
      }
    }

    continueSearch(str, options)

    return highlightIndexes
  }

  highlight(highlightIndex: number, options: HighlightOptions = {}): string {
    const highlightTagName = options.highlightTagName || 'span'
    const highlightClass = options.highlightClass || 'highlight'
    const highlightIdPattern = options.highlightIdPattern || 'highlight-'

    const openTag = TextAnnotator.createOpenTag(
      highlightTagName,
      highlightIdPattern,
      highlightIndex,
      highlightClass
    )
    const loc = this.adjustLoc(
      highlightTagName,
      highlightIdPattern,
      highlightIndex,
      highlightClass
    )
    this.annotatedContent = TextAnnotator.insert(
      this.annotatedContent,
      openTag,
      loc[0]
    )
    this.annotatedContent = TextAnnotator.insert(
      this.annotatedContent,
      TextAnnotator.createCloseTag(highlightTagName),
      loc[1] + openTag.length
    )
    // it has to be set after adjustLoc so that it will not be checked
    this.highlights[highlightIndex].highlighted = true

    return this.annotatedContent
  }

  // experimental feature
  highlightAll(highlightIndexes: number[], options: HighlightOptions = {}): string {
    for (let i = 0; i < highlightIndexes.length; i++) {
      this.annotatedContent = this.highlight(highlightIndexes[i], options)
    }
    return this.annotatedContent
  }

  searchAndHighlight(str: string, options: { searchOptions?: SearchOptions, highlightOptions?: HighlightOptions } = {}): {highlightIndex: number, content: string} {
    const highlightIndex = this.search(str, options.searchOptions)
    if (highlightIndex !== -1) {
      return {
        highlightIndex,
        content: this.highlight(highlightIndex, options.highlightOptions),
      }
    }
  }

  unhighlight(highlightIndex: number, options: HighlightOptions = {}): string {
    const highlightTagName = options.highlightTagName || 'span'
    const highlightClass = options.highlightClass || 'highlight'
    const highlightIdPattern = options.highlightIdPattern || 'highlight-'

    // it has to be set before adjustLoc so that it will not be checked
    this.highlights[highlightIndex].highlighted = false

    // need to change when one annotation => more than one highlight
    const loc = this.adjustLoc(
      highlightTagName,
      highlightIdPattern,
      highlightIndex,
      highlightClass
    )
    const openTagLength = TextAnnotator.getOpenTagLength(
      highlightTagName,
      highlightIdPattern,
      highlightIndex,
      highlightClass
    )
    const substr1 = this.annotatedContent.substring(
      loc[0],
      loc[1] + openTagLength + TextAnnotator.getCloseTagLength(highlightTagName)
    )
    const substr2 = this.annotatedContent.substring(
      loc[0] + openTagLength,
      loc[1] + openTagLength
    )
    this.annotatedContent = this.annotatedContent.replace(substr1, substr2)

    return this.annotatedContent
  }

  stripAndStoreHTMLTags(): void {
    let tag: RegExpMatchArray
    this.stripedHTML = this.originalContent
    const tagRegEx = /<[^>]+>/
    let indexInc = 0
    while ((tag = this.stripedHTML.match(tagRegEx))) {
      this.stripedHTML = this.stripedHTML.replace(tag[0], '')
      const tagLength = tag[0].length
      // tagLocations will be used in adjustLoc
      this.tagLocations.push([tag.index, tagLength, indexInc])
      indexInc += tagLength
    }
  }

  directSearch(prefix: string, str: string, postfix: string, directSearchOptions: DirectSearchOptions = {}): number {
    const caseSensitive = directSearchOptions.caseSensitive
    // experimental option; used for specific feature
    const ifEncode = directSearchOptions.encode
    const lastHighlightIndex = directSearchOptions.lastHighlightIndex

    let strWithFixes = prefix + str + postfix
    let text = this.isHTML ? this.stripedHTML : this.originalContent
    if (!caseSensitive) {
      strWithFixes = strWithFixes.toLowerCase()
      text = text.toLowerCase()
    }

    // for searchAll
    let offset = 0
    if (lastHighlightIndex !== undefined) {
      offset = this.highlights[lastHighlightIndex].loc[1] + 1
    }

    let highlightIndex = -1
    const index = text.indexOf(strWithFixes, offset)
    // experimental feature: if the text to be searched does not work, try to encode it
    if (ifEncode && index === -1) {
      const encodedStrWithFixes = encode(strWithFixes)
      const index = text.indexOf(encodedStrWithFixes, offset)
      if (index !== -1) {
        const loc = []
        loc[0] = index + encode(prefix).length
        loc[1] = loc[0] + encode(str).length
        highlightIndex = this.highlights.push({ loc }) - 1
      }
    } else if (index !== -1) {
      const loc = []
      loc[0] = index + prefix.length
      loc[1] = loc[0] + str.length
      highlightIndex = this.highlights.push({ loc }) - 1
    }
    return highlightIndex
  }

  eagerSearch(prefix: string, str: string, postfix: string, eagerSearchOptions: EagerSearchOptions = {containerId: ''}): number {
    const caseSensitive = eagerSearchOptions.caseSensitive
    const containerId = eagerSearchOptions.containerId
    const threshold = eagerSearchOptions.threshold || 0.74

    const strWithFixes = prefix + str + postfix

    let highlightIndex = -1
    // IE is not considered
    if (window.find) {
      document.designMode = 'on'

      // step 1: ask the browser to highlight the found
      const sel = window.getSelection()
      sel.collapse(document.body, 0)
      while (window.find(strWithFixes, caseSensitive)) {
        document.execCommand('hiliteColor', true, 'rgba(255, 255, 255, 0)')
        sel.collapseToEnd()
        // step 2: locate the found within the container where the annotator is applied
        // selector may become better
        const found = document.querySelector(
          '#' +
            containerId +
            ' [style="background-color: rgba(255, 255, 255, 0);"]'
        )

        if (found) {
          const foundStr = found.innerHTML.replace(/<[^>]*>/g, '')
          const result = TextAnnotator.getBestSubstring(
            foundStr,
            str,
            threshold
          )
          if (result) {
            const text = this.isHTML ? this.stripedHTML : this.originalContent
            const index = text.indexOf(foundStr)
            if (index !== -1) {
              highlightIndex =
                this.highlights.push({
                  loc: [index + result.loc[0], index + result.loc[1]],
                }) - 1
            }
          }
          break
        }
      }

      // step 3: remove the highlights created by the browser
      document.execCommand('undo')

      document.designMode = 'off'
    }
    return highlightIndex
  }

  fuzzySearch(prefix: string, str: string, postfix: string, fuzzySearchOptions: FuzzySearchOptions): number {
    const caseSensitive = fuzzySearchOptions.caseSensitive

    const tokenBased = fuzzySearchOptions.tokenBased
    let tbThreshold = fuzzySearchOptions.tbThreshold || 0.68

    // sentence-based fuzzy search is enabled by default
    const sentenceBased =
      fuzzySearchOptions.sentenceBased === undefined ||
      fuzzySearchOptions.sentenceBased
    let sbThreshold = fuzzySearchOptions.sbThreshold || 0.85
    const maxLengthDiff = fuzzySearchOptions.maxLengthDiff || 0.1
    const lenRatio = fuzzySearchOptions.lenRatio || 2
    const processSentence = fuzzySearchOptions.processSentence

    let highlightIndex = -1
    const text = this.isHTML ? this.stripedHTML : this.originalContent
    // token-based
    if (tokenBased || prefix || postfix) {
      // step 1: find all indexes of str
      const strIndexes = []
      let i = -1
      while ((i = text.indexOf(str, i + 1)) !== -1) {
        strIndexes.push(i)
      }

      // step 2: find the index of the most similar "fragment" - the str with pre- and post- fixes
      let strIndex = -1
      const fragment = prefix + str + postfix
      for (let i = 0; i < strIndexes.length; i++) {
        const si = strIndexes[i]
        // f can be wider
        const f =
          text.substring(si - prefix.length, si) +
          str +
          text.substring(si + str.length, si + str.length + postfix.length)
        const similarity = TextAnnotator.getSimilarity(
          f,
          fragment,
          caseSensitive
        )
        if (similarity >= tbThreshold) {
          tbThreshold = similarity
          strIndex = si
        }
      }

      // step 3: check whether the most similar enough "fragment" is found, if yes return its location
      if (strIndex !== -1) {
        highlightIndex =
          this.highlights.push({ loc: [strIndex, strIndex + str.length] }) - 1
      }
    }
    // sentence-based
    else if (sentenceBased) {
      // step 1: sentenize the text if has not done so
      let sentences = []
      if (this.sentences.length) {
        sentences = this.sentences
      } else {
        sentences = this.sentences = TextAnnotator.sentenize(text)
      }

      // step 2 (for efficiency only): filter sentences by words of the str
      const words = str.split(/\s/)
      const filteredSentences = []
      for (let i = 0; i < sentences.length; i++) {
        for (let j = 0; j < words.length; j++) {
          if (sentences[i].raw.includes(words[j])) {
            filteredSentences.push(sentences[i])
            break
          }
        }
      }

      //step 3 (optional)
      if (processSentence) {
        let index = 0
        // for each sentence
        for (let i = 0; i < filteredSentences.length; i++) {
          const fs = filteredSentences[i]
          let raw = fs.raw
          // loc without tags
          const loc = [fs.index, fs.index + raw.length]
          let locInc = 0
          // add loc of all tags before the one being checked so as to derive the actual loc
          const tagLocations = this.tagLocations
          // for each loc of tag whose loc is larger than the last sentence
          for (let j = index; j < tagLocations.length; j++) {
            const tagLoc = tagLocations[j]
            if (tagLoc[0] >= loc[0] && tagLoc[0] <= loc[1]) {
              const tag = this.originalContent.substring(
                tagLoc[0] + tagLoc[2],
                tagLoc[0] + tagLoc[2] + tagLoc[1]
              )
              const insertIndex = tagLoc[0] + locInc - loc[0]
              raw = raw.slice(0, insertIndex) + tag + raw.slice(insertIndex)
              locInc += tagLoc[1]
            } else if (tagLoc[0] > loc[1]) {
              index = j // not sure this part
              break
            }
          }

          raw = processSentence(raw)
          raw = raw.replace(/(<([^>]+)>)/gi, '')

          const copy = fs.raw
          // update the sentence if it got reduced
          if (copy !== raw) {
            fs.raw = raw
            fs.index = fs.index + copy.indexOf(raw)
          }
        }
      }

      // step 4: find the most possible sentence
      let mostPossibleSentence = null
      for (let i = 0; i < filteredSentences.length; i++) {
        const sentence = filteredSentences[i]
        const similarity = TextAnnotator.getSimilarity(
          sentence.raw,
          str,
          caseSensitive
        )
        if (similarity >= sbThreshold) {
          sbThreshold = similarity
          mostPossibleSentence = sentence
        } else if (i !== filteredSentences.length - 1) {
          // combine two sentences to reduce the inaccuracy of sentenizing text
          const newSentenceRaw = sentence.raw + filteredSentences[i + 1].raw
          const lengthDiff =
            Math.abs(newSentenceRaw.length - str.length) / str.length
          if (lengthDiff <= maxLengthDiff) {
            const newSimilarity = TextAnnotator.getSimilarity(
              newSentenceRaw,
              str,
              caseSensitive
            )
            if (newSimilarity >= sbThreshold) {
              sbThreshold = newSimilarity
              mostPossibleSentence = {
                raw: newSentenceRaw,
                index: sentence.index,
              }
            }
          }
        }
      }

      // step 5:  if the most possible sentence is found, derive and return the location of the most similar str from it
      if (mostPossibleSentence) {
        const result = TextAnnotator.getBestSubstring(
          mostPossibleSentence.raw,
          str,
          sbThreshold,
          lenRatio,
          caseSensitive,
          true
        )
        if (result) {
          const index = mostPossibleSentence.index
          highlightIndex =
            this.highlights.push({
              loc: [index + result.loc[0], index + result.loc[1]],
            }) - 1
        }
      }
    }
    return highlightIndex
  }

  // future work: further improvement when one annotation binds with more than one highlight
  // includeRequiredTag used in = condition only
  includeRequiredTag(i: number, highlightLoc: number[], tag: string): boolean {
    const isCloseTag = tag.startsWith('</')
    const tagName = isCloseTag
      ? tag.split('</')[1].split('>')[0]
      : tag.split(' ')[0].split('<')[1].split('>')[0]

    let included = false

    let requiredTagNumber = 1
    let requiredTagCount = 0
    // if both the start tag and the end tag are at the borders, place the tags outside the borders
    // if the close tag is at the border, check backwards until the start of the highlight
    if (isCloseTag) {
      for (let i2 = i - 1; i2 >= 0; i2--) {
        const tagLoc2 = this.tagLocations[i2]
        if (highlightLoc[0] > tagLoc2[0]) {
          break
        } else {
          const tag2 = this.originalContent.substring(
            tagLoc2[0] + tagLoc2[2],
            tagLoc2[0] + tagLoc2[2] + tagLoc2[1]
          )
          if (tag2.startsWith('</' + tagName)) {
            requiredTagNumber++
          } else if (tag2.startsWith('<' + tagName)) {
            requiredTagCount++
          }
          if (requiredTagNumber === requiredTagCount) {
            included = true
            break
          }
        }
      }
    }
    // if the start tag is at the border, check forwards until the end of the highlight
    else {
      for (let i2 = i + 1; i2 < this.tagLocations.length; i2++) {
        const tagLoc2 = this.tagLocations[i2]
        if (highlightLoc[1] < tagLoc2[0]) {
          break
        } else {
          const tag2 = this.originalContent.substring(
            tagLoc2[0] + tagLoc2[2],
            tagLoc2[0] + tagLoc2[2] + tagLoc2[1]
          )
          if (tag2.startsWith('<' + tagName)) {
            requiredTagNumber++
          } else if (tag2.startsWith('</' + tagName)) {
            requiredTagCount++
          }
          if (requiredTagNumber === requiredTagCount) {
            included = true
            break
          }
        }
      }
    }

    return included
  }

  adjustLoc(
    highlightTagName = 'span',
    highlightIdPattern: string,
    highlightIndex: number,
    highlightClass: string
  ): number[] {
    const highlightLoc = this.highlights[highlightIndex].loc
    const locInc = [0, 0]

    // step 1: check locations of tags
    const length = this.tagLocations.length
    for (let i = 0; i < length; i++) {
      const tagLoc = this.tagLocations[i]
      // start end tag
      if (highlightLoc[1] < tagLoc[0]) {
        break
      }
      // start end&tag
      else if (highlightLoc[1] === tagLoc[0]) {
        const tag = this.originalContent.substring(
          tagLoc[0] + tagLoc[2],
          tagLoc[0] + tagLoc[2] + tagLoc[1]
        )
        // if end tag, not block element and include the required close tag, add right to the tag
        if (
          !tag.endsWith('/>') &&
          tag.startsWith('</') &&
          !blockElements.includes(tag.split('</')[1].split('>')[0]) &&
          this.includeRequiredTag(i, highlightLoc, tag)
        ) {
          locInc[1] += tagLoc[1]
        }
      }
      // start tag end
      else if (highlightLoc[1] > tagLoc[0]) {
        locInc[1] += tagLoc[1]
        // start&tag end
        if (highlightLoc[0] === tagLoc[0]) {
          const tag = this.originalContent.substring(
            tagLoc[0] + tagLoc[2],
            tagLoc[0] + tagLoc[2] + tagLoc[1]
          )
          // if self close tag or end tag or block element or not include the required close tag, add right to the tag
          if (
            tag.startsWith('</') ||
            tag.endsWith('/>') ||
            blockElements.includes(
              tag.split(' ')[0].split('<')[1].split('>')[0]
            ) ||
            !this.includeRequiredTag(i, highlightLoc, tag)
          ) {
            locInc[0] += tagLoc[1]
          }
        }
        // tag start end
        else if (highlightLoc[0] > tagLoc[0]) {
          locInc[0] += tagLoc[1]
        }
      }
    }

    // step 2: check locations of other highlights
    // all span (no blocks)
    // stored in a different array than tags
    // can intersect
    for (let i = 0; i < this.highlights.length; i++) {
      const highlight = this.highlights[i]
      // only check the highlighted
      if (highlight.highlighted) {
        const openTagLength = TextAnnotator.getOpenTagLength(
          highlightTagName,
          highlightIdPattern,
          i,
          highlightClass
        )
        const closeTagLength = TextAnnotator.getCloseTagLength(highlightTagName)
        const loc = highlight.loc
        if (highlightLoc[0] >= loc[1]) {
          locInc[0] += openTagLength + closeTagLength
          locInc[1] += openTagLength + closeTagLength
        }
        // syntactical correct but semantical incorrect
        else if (
          highlightLoc[0] < loc[1] &&
          highlightLoc[0] > loc[0] &&
          highlightLoc[1] > loc[1]
        ) {
          locInc[0] += openTagLength
          locInc[1] += openTagLength + closeTagLength
        } else if (highlightLoc[0] <= loc[0] && highlightLoc[1] >= loc[1]) {
          locInc[1] += openTagLength + closeTagLength
        }
        // syntactical correct but semantical incorrect
        else if (
          highlightLoc[0] < loc[0] &&
          highlightLoc[1] > loc[0] &&
          highlightLoc[1] < loc[1]
        ) {
          locInc[1] += openTagLength
        } else if (highlightLoc[0] >= loc[0] && highlightLoc[1] <= loc[1]) {
          locInc[0] += openTagLength
          locInc[1] += openTagLength
        }
      }
    }

    return [highlightLoc[0] + locInc[0], highlightLoc[1] + locInc[1]]
  }

  static createOpenTag(
    highlightTagName = 'span',
    highlightIdPattern: string,
    highlightIndex: number,
    highlightClass: string
  ): string {
    return `<${highlightTagName} id="${
      highlightIdPattern + highlightIndex
    }" class="${highlightClass}">`
  }

  static createCloseTag(highlightTagName = 'span'): string {
    return `</${highlightTagName}>`
  }

  static getOpenTagLength(
    highlightTagName = 'span',
    highlightIdPattern: string,
    highlightIndex: number,
    highlightClass: string
  ): number {
    return TextAnnotator.createOpenTag(
      highlightTagName,
      highlightIdPattern,
      highlightIndex,
      highlightClass
    ).length
  }

  static getCloseTagLength(highlightTagName = 'span'): number {
    return TextAnnotator.createCloseTag(highlightTagName).length
  }

  static trim(prefix: string, str: string, postfix: string): {
    prefix: string,
    str: string,
    postfix: string
  } {
    prefix = prefix.replace(/^\s+/, '')
    postfix = postfix.replace(/\s+$/, '')
    if (!prefix) {
      str = str.replace(/^\s+/, '')
    }
    if (!postfix) {
      str = str.replace(/\s+$/, '')
    }

    return { prefix, str, postfix }
  }

  static insert(str1: string, str2: string, index: number): string {
    return str1.slice(0, index) + str2 + str1.slice(index)
  }

  static sentenize(text: string): Sentence[] {
    const options = {
      newline_boundaries: false,
      html_boundaries: false,
      sanitize: false,
      allowed_tags: false,
      preserve_whitespace: true,
      // abbreviations: null,
    }
    return getSentences(text, options).map((raw: string) => {
      // future work: can tokenizer return location directly
      const index = text.indexOf(raw)
      return { raw, index }
    })
  }

  static getBestSubstring(
    str: string,
    substr: string,
    threshold?: number,
    lenRatio?: number,
    caseSensitive?: boolean,
    skipFirstRun?: boolean
  ): {
    similarity: number | null,
    loc: number[]
  } | null {
    let result = null

    let similarity = skipFirstRun
      ? threshold
      : TextAnnotator.getSimilarity(str, substr, caseSensitive)
    if (similarity >= threshold) {
      // step 1: derive best substr
      // future work: /s may be better
      const words = str.split(' ')
      while (words.length) {
        const firstWord = words.shift()
        const newStr = words.join(' ')
        let newSimilarity = TextAnnotator.getSimilarity(
          newStr,
          substr,
          caseSensitive
        )
        if (newSimilarity < similarity) {
          words.unshift(firstWord)
          const lastWord = words.pop()
          newSimilarity = TextAnnotator.getSimilarity(
            words.join(' '),
            substr,
            caseSensitive
          )
          if (newSimilarity < similarity) {
            words.push(lastWord)
            break
          } else {
            similarity = newSimilarity
          }
        } else {
          similarity = newSimilarity
        }
      }
      const bestSubstr = words.join(' ')

      // step 2: return the best substr and its loc if found and if it meets the threshold and the length ratio
      if (!lenRatio || bestSubstr.length / substr.length <= lenRatio) {
        const loc = []
        loc[0] = str.indexOf(bestSubstr)
        loc[1] = loc[0] + bestSubstr.length
        result = { similarity, loc }
      }
    }

    return result
  }

  static getSimilarity(str1: string, str2: string, caseSensitive?: boolean): number {
    if (!caseSensitive) {
      str1 = str1.toLowerCase()
      str2 = str2.toLowerCase()
    }
    if (str1 === str2) return 1
    // set str2 to denominator
    return TextAnnotator.lcsLength(str1, str2) / str2.length
  }

  // copy from the code in https://www.npmjs.com/package/longest-common-subsequence
  static lcsLength(firstSequence: string, secondSequence: string, caseSensitive?: boolean): number {
    function createArray(dimension: number): Array<Array<number>> {
      const array = []

      for (let i = 0; i < dimension; i++) {
        array[i] = []
      }

      return array
    }

    const firstString = caseSensitive
      ? firstSequence
      : firstSequence.toLowerCase()
    const secondString = caseSensitive
      ? secondSequence
      : secondSequence.toLowerCase()

    if (firstString === secondString) {
      return firstString.length
    }

    if ((firstString || secondString) === '') {
      return ''.length
    }

    const firstStringLength = firstString.length
    const secondStringLength = secondString.length
    const lcsMatrix = createArray(secondStringLength + 1)

    let i: number
    let j: number
    for (i = 0; i <= firstStringLength; i++) {
      lcsMatrix[0][i] = 0
    }

    for (i = 0; i <= secondStringLength; i++) {
      lcsMatrix[i][0] = 0
    }

    for (i = 1; i <= secondStringLength; i++) {
      for (j = 1; j <= firstStringLength; j++) {
        if (firstString[j - 1] === secondString[i - 1]) {
          lcsMatrix[i][j] = lcsMatrix[i - 1][j - 1] + 1
        } else {
          lcsMatrix[i][j] = Math.max(lcsMatrix[i - 1][j], lcsMatrix[i][j - 1])
        }
      }
    }

    let lcs = ''
    i = secondStringLength
    j = firstStringLength

    while (i > 0 && j > 0) {
      if (firstString[j - 1] === secondString[i - 1]) {
        lcs = firstString[j - 1] + lcs
        i--
        j--
      } else if (
        Math.max(lcsMatrix[i - 1][j], lcsMatrix[i][j - 1]) ===
        lcsMatrix[i - 1][j]
      ) {
        i--
      } else {
        j--
      }
    }

    return lcs.length
  }
}

export default TextAnnotator