250 lines
7.3 KiB
TypeScript
250 lines
7.3 KiB
TypeScript
import { TFile } from 'obsidian'
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import type { IndexedDocument } from './globals'
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import {
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extractHeadingsFromCache,
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getAliasesFromMetadata,
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getTagsFromMetadata,
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isFileCanvas,
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isFileFromDataloom,
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isFileImage,
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isFileOffice,
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isFilePDF,
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logDebug,
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removeDiacritics,
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stripMarkdownCharacters,
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} from './tools/utils'
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import type { CanvasData } from 'obsidian/canvas'
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import type OmnisearchPlugin from './main'
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import { getNonExistingNotes } from './tools/notes'
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export class CacheManager {
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/**
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* Show an empty input field next time the user opens Omnisearch modal
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*/
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private nextQueryIsEmpty = false
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/**
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* The "live cache", containing all indexed vault files
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* in the form of IndexedDocuments
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*/
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private documents: Map<string, IndexedDocument> = new Map()
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constructor(private plugin: OmnisearchPlugin) {}
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/**
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* Set or update the live cache with the content of the given file.
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* @param path
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*/
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public async addToLiveCache(path: string): Promise<void> {
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try {
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const doc = await this.getAndMapIndexedDocument(path)
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if (!doc.path) {
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console.error(
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`Missing .path field in IndexedDocument "${doc.basename}", skipping`
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)
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return
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}
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this.documents.set(path, doc)
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} catch (e) {
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console.warn(`Omnisearch: Error while adding "${path}" to live cache`, e)
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// Shouldn't be needed, but...
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this.removeFromLiveCache(path)
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}
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}
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public removeFromLiveCache(path: string): void {
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this.documents.delete(path)
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}
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public async getDocument(path: string): Promise<IndexedDocument> {
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if (this.documents.has(path)) {
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return this.documents.get(path)!
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}
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logDebug('Generating IndexedDocument from', path)
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await this.addToLiveCache(path)
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return this.documents.get(path)!
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}
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public async addToSearchHistory(query: string): Promise<void> {
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if (!query) {
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this.nextQueryIsEmpty = true
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return
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}
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this.nextQueryIsEmpty = false
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const database = this.plugin.database
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let history = await database.searchHistory.toArray()
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history = history.filter(s => s.query !== query).reverse()
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history.unshift({ query })
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history = history.slice(0, 10)
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await database.searchHistory.clear()
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await database.searchHistory.bulkAdd(history)
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}
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/**
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* @returns The search history, in reverse chronological order
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*/
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public async getSearchHistory(): Promise<ReadonlyArray<string>> {
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const data = (await this.plugin.database.searchHistory.toArray())
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.reverse()
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.map(o => o.query)
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if (this.nextQueryIsEmpty) {
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data.unshift('')
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}
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return data
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}
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/**
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* This function is responsible for extracting the text from a file and
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* returning it as an `IndexedDocument` object.
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* @param path
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*/
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private async getAndMapIndexedDocument(
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path: string
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): Promise<IndexedDocument> {
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const app = this.plugin.app
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const file = app.vault.getAbstractFileByPath(path)
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if (!file) throw new Error(`Invalid file path: "${path}"`)
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if (!(file instanceof TFile)) throw new Error(`Not a TFile: "${path}"`)
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let content: string | null = null
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const extractor = this.plugin.getTextExtractor()
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// ** Plain text **
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// Just read the file content
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if (this.plugin.notesIndexer.isFilePlaintext(path)) {
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content = await app.vault.cachedRead(file)
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}
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// ** Canvas **
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// Extract the text fields from the json
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else if (isFileCanvas(path)) {
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const canvas = JSON.parse(await app.vault.cachedRead(file)) as CanvasData
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let texts: string[] = []
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// Concatenate text from the canvas fields
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for (const node of canvas.nodes) {
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if (node.type === 'text') {
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texts.push(node.text)
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} else if (node.type === 'file') {
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texts.push(node.file)
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}
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}
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for (const edge of canvas.edges.filter(e => !!e.label)) {
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texts.push(edge.label!)
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}
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content = texts.join('\r\n')
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}
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// ** Dataloom plugin **
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else if (isFileFromDataloom(path)) {
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try {
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const data = JSON.parse(await app.vault.cachedRead(file))
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// data is a json object, we recursively iterate the keys
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// and concatenate the values if the key is "markdown"
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const texts: string[] = []
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const iterate = (obj: any) => {
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for (const key in obj) {
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if (typeof obj[key] === 'object') {
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iterate(obj[key])
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} else if (key === 'content') {
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texts.push(obj[key])
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}
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}
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}
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iterate(data)
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content = texts.join('\r\n')
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} catch (e) {
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console.error('Omnisearch: Error while parsing Dataloom file', path)
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console.error(e)
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}
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}
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// ** Image **
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else if (
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isFileImage(path) &&
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this.plugin.settings.imagesIndexing &&
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extractor?.canFileBeExtracted(path)
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) {
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content = await extractor.extractText(file)
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}
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// ** PDF **
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else if (
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isFilePDF(path) &&
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this.plugin.settings.PDFIndexing &&
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extractor?.canFileBeExtracted(path)
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) {
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content = await extractor.extractText(file)
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}
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// ** Office document **
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else if (
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isFileOffice(path) &&
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this.plugin.settings.officeIndexing &&
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extractor?.canFileBeExtracted(path)
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) {
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content = await extractor.extractText(file)
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}
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// ** Unsupported files **
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else if (this.plugin.notesIndexer.isFilenameIndexable(path)) {
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content = file.path
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}
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if (content === null || content === undefined) {
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// This shouldn't happen
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console.warn(`Omnisearch: ${content} content for file`, file.path)
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content = ''
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}
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const metadata = app.metadataCache.getFileCache(file)
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// Look for links that lead to non-existing files,
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// and add them to the index.
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if (metadata) {
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const nonExisting = getNonExistingNotes(this.plugin.app, file, metadata)
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for (const name of nonExisting.filter(o => !this.documents.has(o))) {
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const doc =
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this.plugin.notesIndexer.generateIndexableNonexistingDocument(
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name,
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file.path
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)
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// TODO: index non-existing note
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}
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// EXCALIDRAW
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// Remove the json code
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if (metadata.frontmatter?.['excalidraw-plugin']) {
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const comments =
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metadata.sections?.filter(s => s.type === 'comment') ?? []
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for (const { start, end } of comments.map(c => c.position)) {
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content =
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content.substring(0, start.offset - 1) +
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content.substring(end.offset)
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}
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}
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}
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const displayTitle = metadata?.frontmatter?.[this.plugin.settings.displayTitle] ?? ''
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const tags = getTagsFromMetadata(metadata)
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return {
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basename: file.basename,
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displayTitle,
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content,
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/** Content without diacritics and markdown chars */
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cleanedContent: stripMarkdownCharacters(removeDiacritics(content)),
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path: file.path,
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mtime: file.stat.mtime,
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tags: tags,
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unmarkedTags: tags.map(t => t.replace('#', '')),
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aliases: getAliasesFromMetadata(metadata).join(''),
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headings1: metadata
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? extractHeadingsFromCache(metadata, 1).join(' ')
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: '',
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headings2: metadata
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? extractHeadingsFromCache(metadata, 2).join(' ')
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: '',
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headings3: metadata
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? extractHeadingsFromCache(metadata, 3).join(' ')
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: '',
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}
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}
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}
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