{"version":3,"file":"sinequa-components-machine-learning.mjs","sources":["../../../projects/components/machine-learning/answer-card.component.ts","../../../projects/components/machine-learning/answer-card.component.html","../../../projects/components/machine-learning/passage-list.component.ts","../../../projects/components/machine-learning/top-passages/top-passages.component.ts","../../../projects/components/machine-learning/top-passages/top-passages.component.html","../../../projects/components/machine-learning/chat/chunk.ts","../../../projects/components/machine-learning/chat/chat.service.ts","../../../projects/components/machine-learning/chat/chat-message.component.ts","../../../projects/components/machine-learning/chat/chat-message.component.html","../../../projects/components/machine-learning/chat/chat.component.ts","../../../projects/components/machine-learning/chat/chat.component.html","../../../projects/components/machine-learning/chat/chat-settings.component.ts","../../../projects/components/machine-learning/chat/chat-settings.component.html","../../../projects/components/machine-learning/chat/saved-chats.component.ts","../../../projects/components/machine-learning/machine-learning.module.ts","../../../projects/components/machine-learning/similar-documents/similar-documents.component.ts","../../../projects/components/machine-learning/messages/en.ts","../../../projects/components/machine-learning/messages/fr.ts","../../../projects/components/machine-learning/messages/de.ts","../../../projects/components/machine-learning/messages/index.ts","../../../projects/components/machine-learning/sinequa-components-machine-learning.ts"],"sourcesContent":["import { Observable, map, of } from \"rxjs\";\n\nimport { Component, EventEmitter, Input, OnChanges, Output, SimpleChanges } from \"@angular/core\";\n\nimport { AbstractFacet } from '@sinequa/components/facet';\nimport { SearchService } from \"@sinequa/components/search\";\nimport { AppService } from \"@sinequa/core/app-utils\";\nimport { NotificationsService } from \"@sinequa/core/notification\";\nimport { Answer, AuditEvent, AuditEventType, AuditWebService, Results } from \"@sinequa/core/web-services\";\nimport { AuditEventTypeValues } from \"@sinequa/core/web-services/types/audit/AuditEventType\";\n\n@Component({\n selector: 'sq-answer-card',\n templateUrl: 'answer-card.component.html',\n styles: [`\n.card-body {\n cursor: pointer;\n}\n\n.card-body:hover {\n background-color: rgb(0,0,0,0.03);\n}\n\n.passage-text {\n font-size: 0.875em;\n}\n `],\n standalone: false\n})\nexport class AnswerCardComponent extends AbstractFacet implements OnChanges {\n @Input() results: Results;\n @Input() collapsed: boolean;\n @Input() showLikeButtons: boolean;\n @Input() hideDate: boolean = false;\n @Input() dateFormat: Intl.DateTimeFormatOptions = { year: 'numeric', month: 'short', day: 'numeric' };\n @Output() previewOpened = new EventEmitter();\n @Output() titleClicked = new EventEmitter<{ item: Answer, isLink: boolean }>();\n selectedAnswer: number;\n\n answer$: Observable;\n\n get answers(): Answer[] {\n return this.results?.answers?.answers || [];\n }\n\n constructor(\n public searchService: SearchService,\n public appService: AppService,\n public auditService: AuditWebService,\n public notificationsService: NotificationsService\n ) {\n super();\n }\n\n ngOnChanges(changes: SimpleChanges): void {\n this.selectedAnswer = 0;\n this.setAnswer();\n const answers = changes.results?.currentValue?.answers?.answers;\n if (answers?.length) {\n this.notifyAnswerResult(answers);\n }\n }\n\n openPreview(answer: Answer) {\n this.notifyAnswer(AuditEventType.Answer_Click, answer);\n this.previewOpened.next(answer);\n }\n\n onTitleClicked(isLink: boolean, answer: Answer) {\n this.notifyAnswer(AuditEventType.Answer_Click, answer);\n this.titleClicked.next({ item: answer, isLink });\n }\n\n previous() {\n this.selectedAnswer = (this.selectedAnswer + this.answers.length - 1) % this.answers.length;\n this.setAnswer();\n }\n\n next() {\n this.selectedAnswer = (this.selectedAnswer + 1) % this.answers.length;\n this.setAnswer();\n }\n\n setAnswer() {\n const answer = this.answers[this.selectedAnswer];\n if (!!answer) {\n this.notifyAnswer(AuditEventType.Answer_Display, answer);\n if (!!answer.$record) {\n this.answer$ = of(answer);\n } else {\n // Get the missing record\n this.answer$ = this.searchService.getRecords([answer.recordId]).pipe(map(records => {\n answer.$record = records[0];\n return answer;\n }));\n }\n }\n }\n\n likeAnswer(answer: Answer) {\n this.setLiked(answer, true);\n }\n\n dislikeAnswer(answer: Answer) {\n this.setLiked(answer, false);\n }\n\n private setLiked(answer: Answer, liked: boolean) {\n const type = liked ? AuditEventType.Answer_Liked : AuditEventType.Answer_Disliked;\n if (answer.$liked === liked) {\n answer.$liked = undefined;\n this.auditService.notify(this.makeAuditEvent(`${type}_Cancelled`, answer));\n }\n else {\n answer.$liked = liked;\n this.auditService.notify(this.makeAuditEvent(type, answer))\n .subscribe(() => this.notificationsService.success(\"Thank you for your feedback!\"));\n }\n }\n\n private notifyAnswer(type: AuditEventType, answer: Answer) {\n const auditEvent: AuditEvent = this.makeAuditEvent(type, answer);\n this.auditService.notify(auditEvent);\n }\n\n private notifyAnswerResult(answers: Answer[]) {\n const auditEvents: AuditEvent[] = answers\n .map((answer: Answer) => this.makeAuditEvent(AuditEventType.Answer_Result, answer));\n this.auditService.notify(auditEvents);\n }\n\n private makeAuditEvent(type: AuditEventType | AuditEventTypeValues, answer: Answer): AuditEvent {\n const rank = this.answers.indexOf(answer);\n return {\n type,\n detail: {\n querytext: this.searchService.query.text,\n answertext: answer.text,\n recordid: answer.recordId,\n passageid: answer.passage.id,\n afscore: answer[\"af.score\"],\n rmscore: answer[\"rm.score\"],\n rank\n }\n };\n }\n}\n","\n
\n
\n
\n \n {{'msg#machine-learning.answersCollapsed' | sqMessage:{values: {answersNb: answers.length} } }}\n \n \n {{'msg#machine-learning.answers' | sqMessage }}\n \n
\n
\n \n {{'msg#machine-learning.answer' | sqMessage }} {{selectedAnswer+1}}/{{answers.length}}\n \n
\n
\n\n\n
\n
\n {{answer.text}}\n
\n \n \n
\n
\n
\n {{answer.$record.modified | sqDate:dateFormat }} - \n \n
\n \n \n \n \n \n
","import { Component, Input, OnChanges, SimpleChanges } from \"@angular/core\";\nimport { MatchingPassage, Record } from \"@sinequa/core/web-services\";\n\n@Component({\n selector: 'sq-passage-list',\n template: `\n
    \n
  1. \n
    \n
    \n \n
    \n
    2. \n
\n `,\n styleUrls: ['passage-list.component.scss'],\n standalone: false\n})\nexport class PassageListComponent implements OnChanges {\n\n @Input() record: Record;\n @Input() maxPassages?: number;\n @Input() passageId?: string;\n\n ngOnChanges(changes: SimpleChanges): void {\n const passages = this.record.matchingpassages?.passages;\n // invalidate all $expanded property except for the first passage\n passages?.forEach((p, index) => p.$expanded = this.passageId\n ? p.id === Number(this.passageId) : index === 0);\n }\n\n expand(passage: MatchingPassage) {\n // Do not expand if there is a selection\n const selection = window.getSelection();\n if(selection && selection.toString().length > 0) {\n return;\n }\n\n const state = !passage.$expanded;\n this.record.matchingpassages?.passages.forEach(p => p.$expanded = false);\n passage.$expanded = state;\n }\n}","import { delay } from \"rxjs\";\r\n\r\nimport { ChangeDetectionStrategy, ChangeDetectorRef, Component, EventEmitter, Input, OnChanges, Output } from \"@angular/core\";\r\n\r\nimport { AbstractFacet } from '@sinequa/components/facet';\r\nimport { SearchService } from \"@sinequa/components/search\";\r\nimport { AuditEvent, AuditEventType, AuditWebService, Record, Results, TopPassage } from \"@sinequa/core/web-services\";\r\n\r\n@Component({\n selector: 'sq-top-passages',\n templateUrl: 'top-passages.component.html',\n styleUrls: ['./top-passages.component.scss'],\n changeDetection: ChangeDetectionStrategy.OnPush,\n standalone: false\n})\r\nexport class TopPassagesComponent extends AbstractFacet implements OnChanges {\r\n @Input() results: Results;\r\n @Input() hideDate: boolean = false;\r\n @Input() dateFormat: Intl.DateTimeFormatOptions = { year: 'numeric', month: 'short', day: 'numeric' };\r\n\r\n @Output() passageClicked = new EventEmitter();\r\n @Output() documentOpened = new EventEmitter();\r\n\r\n passages?: TopPassage[];\r\n documentsNb: number;\r\n\r\n constructor(\r\n private auditService: AuditWebService,\r\n private searchService: SearchService,\r\n public cdRef: ChangeDetectorRef\r\n ) {\r\n super();\r\n }\r\n\r\n ngOnChanges(): void {\r\n this.documentsNb = 0;\r\n this.passages = undefined;\r\n if(this.results.topPassages?.passages?.length) {\r\n this.fetchPassagesRecords(this.results.topPassages.passages);\r\n }\r\n }\r\n\r\n fetchPassagesRecords(passages: TopPassage[]): void {\r\n const ids = passages.filter(p => !p.$record).map(p => p.recordId);\r\n this.searchService.getRecords(ids)\r\n .pipe(delay(0)) // Force async refresh of the view to scroll to the top\r\n .subscribe((records) => {\r\n // Post process passages\r\n this.passages = passages\r\n // Fill missing records\r\n .map(p => ({...p, $record: p.$record || records.find(record => record?.id === p.recordId)}))\r\n // Remove records that cannot be retrieved\r\n .filter(p => p.$record)\r\n // Put answers first\r\n .sort((a, b) => (b.answerScore ? (b.answerScore + 100) : b.score)\r\n - (a.answerScore ? (a.answerScore + 100) : a.score));\r\n\r\n this.notifyTopPassagesDisplay(this.passages);\r\n\r\n // Set the numbers of unique documents\r\n const uniqueRecords = [...new Set(this.passages.map(p => p.recordId))];\r\n this.documentsNb = uniqueRecords.length;\r\n\r\n this.cdRef.detectChanges();\r\n });\r\n }\r\n\r\n // Open the mini preview on text click\r\n openPreview(passage: TopPassage) {\r\n this.notifyTopPassagesClick(passage);\r\n this.passageClicked.emit(passage);\r\n }\r\n\r\n // Open the big preview on title click\r\n onTitleClicked(isLink: boolean, passage: TopPassage) {\r\n this.notifyTopPassagesClick(passage);\r\n // If isLink === true, then we are navigating outside the app\r\n if(!isLink && passage.$record) {\r\n this.documentOpened.emit(passage.$record);\r\n }\r\n }\r\n\r\n private notifyTopPassagesClick(passage: TopPassage) {\r\n const auditEvent: AuditEvent = this.makeAuditEvent(AuditEventType.TopPassages_Click, passage);\r\n this.auditService.notify(auditEvent);\r\n }\r\n\r\n private notifyTopPassagesDisplay(passages: TopPassage[]) {\r\n const auditEvents: AuditEvent[] = passages\r\n .map((passage: TopPassage) => this.makeAuditEvent(AuditEventType.TopPassages_Display, passage));\r\n this.auditService.notify(auditEvents);\r\n }\r\n\r\n private makeAuditEvent(type: string, passage: TopPassage): AuditEvent {\r\n const rank = this.passages?.indexOf(passage);\r\n const answer = !!passage.answer;\r\n return {\r\n type,\r\n detail: {\r\n querytext: this.searchService.query.text,\r\n recordid: passage.recordId,\r\n passageid: passage.id,\r\n score: passage.score,\r\n rank,\r\n answer\r\n }\r\n };\r\n }\r\n\r\n public override isHidden(): boolean {\r\n return !this.passages?.length;\r\n }\r\n}\r\n","\r\n
{{'msg#machine-learning.passagesFound' |\r\n sqMessage:{passagesNb: passages.length, documentsNb: documentsNb} }}\r\n
\r\n\r\n
    \r\n\r\n
  • \r\n\r\n
    \r\n \r\n \r\n
    \r\n\r\n
    \r\n \r\n {{passage.$record.modified | sqDate:dateFormat }} -\r\n \r\n \r\n
    \r\n\r\n
    • \r\n\r\n
\r\n","\nexport interface Chunk {offset: number, length: number};\n\n/**\n * This function takes a list of ordered \"chunks\" (segment positioned at certain \"offset\" and with\n * a certain \"length\") and inserts a new chunk in this list.\n * It takes care of inserting the chunk at the right location, and to merge it (if needed) with other\n * existing chunks (such that all chunks are always ordered and without overlap between them,\n * as long as all the chunks have been inserted using this method).\n * A \"margin\" parameter prevents small gaps between chunks, such that, if margin is 10, and a new chunk\n * is inserted within less that 10 positions of an existing chunk, then the 2 will be merged directly.\n */\nexport function insertChunk(chunks: Chunk[], offset: number, length: number, margin = 0) {\n let end = offset + length;\n\n let spliceStart = chunks.length;\n let spliceLength = 0;\n\n for(let i=0; i= offset) {\n spliceStart = i; // Insert new chunk here\n offset = Math.min(chunkOffset, offset); // Update the offset/length to \"merge\" with the chunk\n length = end - offset;\n }\n // Chunk is after the begining of the segment\n else if (chunkOffset > offset) {\n spliceStart = i;\n }\n }\n\n // Detect the ending point\n if(i >= spliceStart) {\n // Chunk is included in the segment\n if(chunkEnd < end) {\n spliceLength++;\n }\n // Chunk includes the end of segment\n else if(chunkOffset - margin <= end && chunkEnd + margin >= end) {\n spliceLength++; // Delete at least this first chunk\n end = Math.max(chunkEnd, end);\n length = end - offset;\n break;\n }\n // Chunk is after the end of the segment\n else if (chunkOffset > end) {\n break; // All the chunks after this one won't be changed\n }\n }\n\n }\n\n chunks.splice(spliceStart, spliceLength, {offset, length});\n}\n\nexport function equalChunks(a: Chunk[], b: Chunk[]) {\n if(a.length !== b.length) {\n return false;\n }\n for(let i=0; i([]);\n\n /** LLM used for computing the number of tokens in text */\n attachmentModel: GllmModel = 'GPT35Turbo';\n\n /** Name of the GLLM plugin */\n GLLM_PLUGIN = \"GLLM\";\n\n /** Metadata possibly included in the attachments */\n availableAttachmentMetadata: { field: string, name?: string, formatter?: (value: any) => string}[] = [\n {field: \"title\"},\n {field: \"modified\", name: \"date\", formatter: (value: string) => value.substring(0,10)},\n {field: \"treepath\", name: \"source\", formatter: (value: string[]) => value[0].split('/').find(v => v) ?? ''},\n {field: \"authors\", formatter: (value: string[]) => value.join(',')},\n {field: \"language\", formatter: (value: string[]) => value.join(',')},\n {field: \"docformat\", name: \"format\"},\n {field: \"filename\"}\n ];\n defaultAttachmentMetadata = ['title', 'modified'];\n\n initialized$ = new BehaviorSubject(false);\n models?: GllmModelDescription[];\n quota?: GllmTokenQuota;\n quotaPercentage = 0;\n\n constructor(\n public textChunksService: TextChunksWebService,\n public jsonMethodWebService: JsonMethodPluginService,\n public searchService: SearchService,\n public userSettingsService: UserSettingsWebService,\n public modalService: ModalService,\n public notificationsService: NotificationsService,\n public auditService: AuditWebService,\n public prefs: UserPreferences,\n public loginService: LoginService\n ) {\n // Upon login, get the list of models and current quota\n this.loginService.events.pipe(\n filter(e => e.type === 'login-complete'),\n switchMap(() => forkJoin([\n this.listModels(),\n this.getQuota()\n ]))\n ).subscribe(() => this.initialized$.next(true));\n }\n\n\n // ChatGPT API\n\n /**\n * Calls the ChatGPT API to retrieve a new message given all previous messages\n */\n fetch(messages: ChatMessage[], name: GllmModel, temperature: number, generateTokens: number, topP: number, context?: string, stream = false): Observable {\n\n // Prepare inputs\n const model = {\n name,\n temperature,\n generateTokens,\n topP,\n context\n };\n const messagesHistory = this.cleanMessages(messages, true);\n const data = {action: \"chat\", model, messagesHistory, promptProtection: false};\n\n // Stream mode\n if(stream && this.models?.find(m => m.name === name)?.eventStream) {\n let _res: ChatResponse;\n return this.fetchStream(data).pipe(\n map(res => this.processResponse(messages, res)),\n tap(res => _res = res), // Store the last version of the message so we can audit it in finalize()\"\"\n finalize(() => {\n if(_res) {\n this.notifyAudit(_res.messagesHistory, model.name, _res.tokens);\n }\n })\n );\n }\n\n // Regular mode\n return this.fetchAll(data).pipe(\n map(res => this.processResponse(messages, res)),\n tap(({tokens, messagesHistory}) => this.notifyAudit(messagesHistory, model.name, tokens))\n );\n }\n\n fetchAll(data: any): Observable {\n return this.jsonMethodWebService.post(this.GLLM_PLUGIN, data);\n }\n\n fetchStream(data: any): Observable {\n data.stream = true;\n let msgCount = 0;\n return this.jsonMethodWebService.post(this.GLLM_PLUGIN, data, {observe: 'events', responseType: 'text', reportProgress: true}).pipe(\n // Only keep download progress events\n filter((data: HttpEvent): data is HttpDownloadProgressEvent => data.type === HttpEventType.DownloadProgress),\n\n // Retrieve and parse the last event of the stream\n map(data => {\n const messages = data.partialText!\n .trim()\n .split('\\n\\n')\n .slice(msgCount)\n .map(text => text.substring('data: '.length))\n .map(text => JSON.parse(text) as {content: string, tokens: number, stop?: boolean});\n msgCount += messages.length;\n return messages.reduceRight((acc, json) => ({...acc, content: json.content+acc.content})) ;\n }),\n\n // Transform the result into a RawResponse\n map(json => ({\n tokens: json.tokens,\n streaming: !json.stop,\n messagesHistory: [{role: \"assistant\", display: true, content: json.content}]\n })),\n\n // Accumulate stream into one message / response\n scan((acc, res) => ({\n ...res,\n messagesHistory: [{ // Merge the last message with the previous one\n ...res.messagesHistory[0],\n content: acc.messagesHistory[0].content + res.messagesHistory[0].content\n }]\n })),\n );\n }\n\n /**\n * Returns the number of tokens taken by the given text\n */\n count(text: string[], model: GllmModel): Observable {\n const data = { action: \"TokenCount\", model, text };\n return this.jsonMethodWebService.post(this.GLLM_PLUGIN, data).pipe(map(res => res.tokens));\n }\n\n /**\n * Return the list of OpenAI models available on the server\n */\n listModels(): Observable {\n const data = { action: \"listmodels\" };\n return this.jsonMethodWebService.get(this.GLLM_PLUGIN, data).pipe(\n map(res => res.models),\n tap(models => this.models = models)\n );\n }\n\n /**\n * Return the number of tokens left for the current user\n */\n getQuota(): Observable {\n const data = { action: \"quota\" };\n return this.jsonMethodWebService.get(this.GLLM_PLUGIN, data).pipe(\n map(res => res.quota),\n tap(quota => this.quota = quota),\n tap(quota => this.quotaPercentage = Math.min(100, Math.ceil(100 * quota.tokenCount / quota.periodTokens)))\n );\n }\n\n /**\n * Fetch document text chunks from the standard Sinequa API\n */\n fetchChunks(id: string, chunks: {offset: number, length: number}[], sentencesBefore = 0, sentencesAfter = 0) {\n return this.textChunksService.getTextChunks(id, chunks, [], this.searchService.makeQuery(), sentencesBefore, sentencesAfter);\n }\n\n /**\n * Takes a list of ChatMessage and strips it from its\n * optional data ($content, $record, etc.) so that it can be sent\n * to the chat, or saved in the user settings\n */\n cleanMessages(messagesHistory: ChatMessage[], minimize = false): RawMessage[] {\n return messagesHistory.map(message => ({\n role: message.role,\n content: message.content,\n display: message.display,\n $attachment: minimize? undefined : message.$attachment ? {\n recordId: message.$attachment.recordId,\n chunks: message.$attachment.chunks\n } : undefined,\n $refId: minimize? undefined : message.$refId,\n $actions: minimize? undefined : message.$actions\n }));\n }\n\n /**\n * Given a list of raw messages (typically from a saved chat),\n * this function reconstructs all the necessary data (records, attachments...)\n * and returns a list of ChatMessage objects ready to be displayed\n */\n restoreMessages(messages: RawMessage[]): Observable {\n const ids = messages.map(m => m.$attachment?.recordId!).filter(id => id);\n return this.searchService.getRecords(ids).pipe(\n map(records => messages.reduce((chatMessages, message) => {\n const chatMessage: ChatMessage = {...message, $attachment: undefined};\n if(message.$attachment) {\n const $record = records.find(r => r?.id === message.$attachment?.recordId);\n if($record) {\n chatMessage.$attachment = {...message.$attachment, $record};\n }\n }\n chatMessages.push(chatMessage);\n return chatMessages;\n }, [] as ChatMessage[]))\n );\n }\n\n processResponse(messages: ChatMessage[], response: RawResponse) {\n const rawMessage = response.messagesHistory.at(-1) as ChatMessage;\n return {\n tokens: response.tokens,\n messagesHistory: [\n ...messages,\n { ...rawMessage }\n ]\n }\n }\n\n /**\n * Given a list of attachments this function generates\n * a list of chat messages with the formatted attachment as content.\n */\n prepareAttachmentMessages(attachments: ChatAttachment[], conversation: ChatMessage[], display: boolean): ChatMessage[] {\n const idOffset = Math.max(0, ...conversation.map(m => m.$refId ?? 0)); // Determine the latest id used in the conversation\n return attachments.map(($attachment, i) => {\n const $refId = idOffset + i + 1;\n return {\n role: 'user',\n content: this.formatContent($refId, $attachment.$record, $attachment.chunks.map(c => c.text)),\n display,\n $attachment,\n $refId\n }\n });\n }\n\n protected formatContent(id: number, record: Record, text: string[]) {\n let metas = \"\";\n for(let field of this.attachmentMetadata) {\n const meta = this.availableAttachmentMetadata.find(m => m.field === field);\n if(meta) {\n const value = record[meta.field];\n if(value) {\n metas += ` ${meta.name ?? field}=\"${meta.formatter?.(value) ?? value}\"`\n }\n }\n }\n const parts = text.map((t, i) => `${t}`);\n return `${parts.join('\\n\\n')}`;\n }\n\n /**\n * Get the model description for the given model name\n */\n getModel(name: GllmModel): GllmModelDescription | undefined {\n return this.models?.find(m => m.name === name);\n }\n\n\n // Attachment API\n\n /**\n * Use Sinequa to retrieve relevant passages for the given text query\n * When relevant content is retrieved, the attachments$ subject is\n * upated.\n */\n searchAttachments(results: Results, options: Partial) {\n\n const _options = Object.assign({}, defaultSearchAttachmentsOptions, options);\n\n // Select top passages\n const passages = results.topPassages?.passages\n ?.filter(p => p.score > _options.minScoreTopPassage)\n .slice(0, _options.maxTopPassages) || [];\n\n const topDocuments = results.records\n .filter(d => (d.globalrelevance ?? 1) > _options.minDocumentRelevance)\n .slice(0, _options.maxDocuments)\n\n return of(passages).pipe(\n // Retrieve the records of these top passages (potentially asynchronous)\n switchMap(passages => this.passagesWithRecords(passages, results.records)),\n // Group by record\n map(passage => this.groupPassages(passage)),\n // Complement with regular records, when not already in the list\n map(docs => {\n for(let $record of topDocuments) {\n if(!docs.find(d => d.$record.id === $record.id)) {\n docs.push({$record, chunks: []});\n }\n }\n return docs;\n }),\n // For each record retrieve chunks and return \"attachments\"\n switchMap(docs => forkJoin(\n docs.map(({$record, chunks}) => this.addDocument($record, chunks, _options.startLengthPerDocument, _options.maxExtractsPerDocument, _options.maxPassagesPerDocument, _options.extendBefore, _options.extendAfter))\n )),\n // forkJoin([]) does not emit anything, so the following line makes the observable emit something\n defaultIfEmpty([] as ChatAttachment[])\n );\n }\n\n /**\n * Automatically search attachments in the results yielded by the given query\n */\n searchAttachmentsSync(query = this.searchService.query, options: Partial) {\n const event: AuditEvent = {\n type: \"Chat_Autosearch\",\n detail: {\n querytext: query.text\n }\n };\n return this.searchService.getResults(query, event).pipe(\n tap(results => this.searchService.setResults(results)),\n switchMap(results => this.searchAttachments(results, options)),\n switchMap(attachments => this.countChunks(attachments)),\n ).subscribe(attachments => this.addAttachments(attachments));\n }\n\n protected passagesWithRecords(passages: TopPassage[], records: (Record | undefined)[], retrieveRecords = true): Observable<{$record: Record, location: number[]}[]> {\n const passagesWithRecords = passages\n .map(p => ({...p, $record: p.$record || records.find(r => r?.id === p.recordId)!}))\n .filter(p => p.$record);\n if(passagesWithRecords.length === passages.length || !retrieveRecords)\n return of(passagesWithRecords);\n const ids = passages.filter(p => !p.$record)\n .map(p => p.recordId);\n return this.searchService.getRecords(ids).pipe(\n switchMap(records => this.passagesWithRecords(passages, records, false))\n );\n }\n\n /**\n * Get the list of chunks currently present in the attachments for\n * a given record id (and return an empty list if there is none)\n */\n protected getChunks(recordId: string): DocumentChunk[] {\n const attachment = this.attachments$.getValue().find(a => a.recordId === recordId);\n return attachment?.chunks ?? [];\n }\n\n /**\n * Adds a list of text chunks from a record to the list of attachments.\n * If the record was already in the attachments, it will merge\n * the new chunks into the existing ones.\n */\n addChunks($record: Record, _chunks: {offset: number, length: number}[], sentencesBefore=0, sentencesAfter=0): Observable {\n let obs: Observable<{offset: number, length: number, text?: string}[]> = of(_chunks);\n if(sentencesBefore > 0 || sentencesAfter > 0) {\n obs = this.fetchChunks($record.id, _chunks, sentencesBefore, sentencesAfter); // if needed, perform a first request that expands the given chunks\n }\n return obs.pipe(\n switchMap(chunks => {\n const existingChunks = this.getChunks($record.id);\n for(let chunk of chunks) {\n insertChunk(existingChunks, chunk.offset, chunk.length, this.chunkMargin);\n }\n if(chunks.every(c => c.text) && equalChunks(existingChunks, chunks)) {\n return of(chunks as DocumentChunk[]); // No need to perform another request\n }\n return this.fetchChunks($record.id, existingChunks);\n }),\n map(chunks => ({$record, recordId: $record.id, chunks}))\n );\n }\n\n /**\n * Increase the size of all the chunks in an attachment\n */\n increaseChunks(attachment: ChatAttachmentWithTokens, sentencesBefore = 2, sentencesAfter = 4) {\n return this.fetchChunks(attachment.recordId, attachment.chunks, sentencesBefore, sentencesAfter).pipe(\n switchMap(newChunks => this.addChunks(attachment.$record, newChunks)),\n switchMap(a => this.countChunks([a])),\n map(a => ({...a[0], $expanded: attachment.$expanded}))\n );\n }\n\n increaseChunksSync(attachment: ChatAttachmentWithTokens, sentencesBefore = 2, sentencesAfter = 4) {\n this.increaseChunks(attachment, sentencesBefore, sentencesAfter)\n .subscribe(a => this.addAttachments([a]));\n }\n\n /**\n * Take in a list of chat attachment and enriches it with the number of tokens of each one\n */\n countChunks(attachments: ChatAttachment[]): Observable {\n if(attachments.length === 0) {\n return of([]);\n }\n const texts = attachments.map(a => this.formatContent(10, a.$record, a.chunks.map(c => c.text)));\n return this.count(texts, this.attachmentModel).pipe(\n map(counts => attachments.map((a,i) => ({...a, $tokenCount: counts[i]})))\n )\n }\n\n /**\n * Removes a document chunk from an attachment and update the list\n * of attachments.\n * If this was the last chunk, the attachment is removed altogether.\n */\n removeChunk(attachment: ChatAttachmentWithTokens, chunk: DocumentChunk) {\n const j = attachment.chunks.indexOf(chunk);\n if(j !== -1) {\n attachment.chunks.splice(j, 1);\n if(attachment.chunks.length === 0) {\n this.removeAttachment(attachment);\n }\n else {\n this.addAttachments([attachment]); // Will take care of replacing the existing attachment if it exists (as it should)\n };\n }\n }\n\n /**\n * Add a list of records as attachments\n */\n addDocuments(records: Record[], includeStart = 2048, includeExtracts = 3, includePassages = 2, sentencesBefore = 1, sentencesAfter = 3) {\n return forkJoin(records.map(record => this.addDocument(record, [], includeStart, includeExtracts, includePassages, sentencesBefore, sentencesAfter)));\n }\n\n addDocumentsSync(records: Record[], includeStart = 2048, includeExtracts = 3, includePassages = 2, sentencesBefore = 1, sentencesAfter = 3) {\n this.addDocuments(records, includeStart, includeExtracts, includePassages, sentencesBefore, sentencesAfter)\n .pipe(switchMap(doc => this.countChunks(doc)))\n .subscribe(a => this.addAttachments(a));\n }\n\n /**\n * Returns a (truncated) document attachment\n */\n addDocument(record: Record, chunks: Chunk[] = [], includeStart = 2048, includeExtracts = 3, includePassages = 2, sentencesBefore = 1, sentencesAfter = 3): Observable {\n if(includeStart) {\n chunks.push({offset: 0, length: includeStart});\n }\n if(includeExtracts && record.extracts) {\n const extracts = this.getExtractChunks(record.extracts)\n .slice(0, includeExtracts);\n chunks.push(...extracts);\n }\n if(includePassages && record.matchingpassages?.passages) {\n const passages = record.matchingpassages.passages\n .map(p => p.location)\n .map(([offset, length]) => ({offset, length}))\n .slice(0, includePassages);\n chunks.push(...passages);\n }\n return this.addChunks(record, chunks, sentencesBefore, sentencesAfter);\n }\n\n addDocumentSync(record: Record, chunks: Chunk[] = [], includeStart = 2048, includeExtracts = 3, includePassages = 2, sentencesBefore = 1, sentencesAfter = 3) {\n this.addDocument(record, chunks, includeStart, includeExtracts, includePassages, sentencesBefore, sentencesAfter)\n .pipe(switchMap(doc => this.countChunks([doc])))\n .subscribe(a => this.addAttachments(a));\n }\n\n /**\n * Preprocess top passage to ensure they have a record object and add them\n * via the addPassages method\n */\n addTopPassages(passages: TopPassage[], records: Record[] = [], sentencesBefore=0, sentencesAfter=0): Observable {\n return this.passagesWithRecords(passages, records).pipe(\n switchMap(passages => forkJoin(this.addPassages(passages, sentencesBefore, sentencesAfter))),\n )\n }\n\n addTopPassagesSync(passages: TopPassage[], records: Record[] = [], sentencesBefore=0, sentencesAfter=0) {\n this.addTopPassages(passages, records, sentencesBefore, sentencesAfter)\n .pipe(switchMap(doc => this.countChunks(doc)))\n .subscribe(a => this.addAttachments(a));\n }\n\n protected groupPassages(passages: {$record: Record, location: number[]}[]) {\n const passagesById: {[id: string]: {$record: Record, chunks: Chunk[]}} = {};\n for(let passage of passages) {\n const group = passagesById[passage.$record.id] || {$record: passage.$record, chunks: []};\n const [offset, length] = passage.location;\n group.chunks.push({offset, length});\n passagesById[passage.$record.id] = group;\n }\n return Object.values(passagesById);\n }\n\n /**\n * Take a list of passages (typically \"top passages\"), group them by record id\n * and for each record generate an attachment (merged with potential existing attachments)\n */\n addPassages(passages: {$record: Record, location: number[]}[], sentencesBefore=0, sentencesAfter=0): Observable[] {\n return this.groupPassages(passages).map(group => {\n return this.addChunks(group.$record, group.chunks, sentencesBefore, sentencesAfter);\n });\n }\n\n addPassagesSync(passages: {$record: Record, location: number[]}[], sentencesBefore=0, sentencesAfter=0) {\n forkJoin(this.addPassages(passages, sentencesBefore, sentencesAfter))\n .pipe(switchMap(p => this.countChunks(p)))\n .subscribe(a => this.addAttachments(a));\n }\n\n /**\n * Add relevant extracts to the attachments.\n * There must be at least one extract.\n */\n addExtracts(record: Record, extracts: RelevantExtract[], sentencesBefore=0, sentencesAfter=0): Observable {\n const chunks = this.getExtractChunks(extracts);\n return this.addChunks(record, chunks, sentencesBefore, sentencesAfter);\n }\n\n addExtractsSync(record: Record, extracts: RelevantExtract[], sentencesBefore=0, sentencesAfter=0) {\n this.addExtracts(record, extracts, sentencesBefore, sentencesAfter)\n .pipe(switchMap(e => this.countChunks([e])))\n .subscribe(a => this.addAttachments(a));\n }\n\n protected getExtractChunks(extracts: RelevantExtract[]) {\n return extracts.map(e => e.locations.split(',')).map(([offset, length]) => ({offset: +offset, length: +length}));\n }\n\n /**\n * Updates the list of attachments with a new attachment,\n * replacing the existing attachment for that record if it exists\n */\n addAttachments(attachments: ChatAttachmentWithTokens[]) {\n const existingAttachments = this.attachments$.getValue();\n for(let attachment of attachments) {\n const i = existingAttachments.findIndex(a => a.recordId === attachment.recordId);\n if(i === -1) {\n existingAttachments.push(attachment);\n }\n else {\n existingAttachments.splice(i, 1, attachment);\n }\n }\n this.attachments$.next(existingAttachments);\n }\n\n /**\n * Replace an old attachment with a new one\n */\n protected spliceAttachment(old: ChatAttachmentWithTokens, replace?: ChatAttachmentWithTokens) {\n const attachments = this.attachments$.value;\n const i = attachments.indexOf(old);\n if(i !== -1 ) {\n if(replace) {\n replace.$expanded = old.$expanded;\n }\n attachments.splice(i, 1, ...replace ? [replace] : []);\n this.attachments$.next(attachments);\n }\n }\n\n /**\n * Remove an attachment\n */\n removeAttachment(attachment: ChatAttachmentWithTokens) {\n this.spliceAttachment(attachment);\n }\n\n\n // Saved chats management\n\n savedChats$ = new Subject();\n\n /**\n * Chats saved by the user to reopen them later\n */\n get savedChats(): SavedChat[] {\n if (!this.userSettingsService.userSettings)\n this.userSettingsService.userSettings = {};\n if (!this.userSettingsService.userSettings[\"savedChats\"])\n this.userSettingsService.userSettings[\"savedChats\"] = [];\n return this.userSettingsService.userSettings[\"savedChats\"];\n }\n\n /**\n * Returns the saved chat with the given name\n */\n getSavedChat(name: string): SavedChat | undefined {\n return this.savedChats.find(chat => chat.name === name);\n }\n\n /**\n * Save a agiven chat in the user settings\n */\n saveChat(savedChat: SavedChat): void {\n const chat = this.getSavedChat(savedChat.name);\n if (chat) {\n this.deleteSavedChat(chat.name, true);\n }\n this.savedChats.push(savedChat);\n this.syncSavedChats()\n .subscribe(() => this.notificationsService.success(`${savedChat.name} was saved successfully`));\n this.auditService.notify({\n type: \"Chat_Save\",\n detail: {\n chat: savedChat.name\n }\n });\n }\n\n /**\n * Delete a given chat\n */\n deleteSavedChat(name: string, skipSync?: boolean): void {\n const chat = this.getSavedChat(name);\n if (chat) {\n this.savedChats.splice(this.savedChats.indexOf(chat), 1);\n if (!skipSync) {\n this.syncSavedChats();\n this.auditService.notify({\n type: \"Chat_Delete\",\n detail: {\n chat: name\n }\n });\n }\n }\n }\n\n syncSavedChats() {\n const savedChats = this.savedChats;\n this.savedChats$.next(savedChats);\n return this.userSettingsService.patch({ savedChats });\n }\n\n /**\n * Open a prompt to let the user pick a name for a saved chat.\n * If the user obliges the chat is saved.\n */\n saveChatModal(conversation: ChatMessage[], tokens: GllmTokens) {\n const messages = this.cleanMessages(conversation);\n const model: PromptOptions = {\n title: 'Save Chat',\n message: 'Enter a name for the chat',\n buttons: [],\n output: '',\n validators: [Validators.required]\n };\n this.modalService.prompt(model).then(res => {\n if (res === ModalResult.OK) {\n const savedChat: SavedChat = { name: model.output, messages, tokens };\n this.saveChat(savedChat);\n }\n });\n }\n\n notifyAudit(messagesHistory: ChatMessage[], model: string, tokens: number) {\n let numberOfUserMessages = 0;\n let numberOfAttachments = 0;\n let numberOfAssistantMessages = 0;\n for(let m of messagesHistory) {\n if(m.$attachment) numberOfAttachments++;\n else if(m.role === 'user') numberOfUserMessages++;\n else if (m.role === 'assistant') numberOfAssistantMessages++;\n }\n this.auditService.notify({\n type: 'Chat_Messages',\n detail: {\n message: messagesHistory.map(m => m.role.toUpperCase() + ': '+ (m.$attachment? `attachment ${m.$attachment?.$record.title}` : m.content)).join('\\n\\n'),\n numberOfUserMessages,\n numberOfAttachments,\n numberOfAssistantMessages,\n model,\n tokens\n }\n });\n }\n\n get attachmentMetadata(): string[] {\n return this.prefs.get(\"chat-attachment-metadata\") ?? this.defaultAttachmentMetadata;\n }\n\n set attachmentMetadata(metadata: string[]) {\n this.prefs.set(\"chat-attachment-metadata\", metadata);\n }\n\n}\n","import { ChangeDetectionStrategy, Component, EventEmitter, Input, OnChanges, Output, SimpleChanges, ChangeDetectorRef, AfterViewInit, ElementRef } from \"@angular/core\";\nimport { Record } from \"@sinequa/core/web-services\";\nimport { SearchService } from \"@sinequa/components/search\";\nimport { ChatAttachmentOpen, ChatMessage } from \"./types\";\n\nimport { unified, Processor } from \"unified\";\nimport remarkParse from \"remark-parse\";\nimport { visit, CONTINUE, EXIT } from \"unist-util-visit\";\nimport { Text, Parent, Content } from \"mdast\";\nimport { Node } from \"unist\";\nimport { UIService } from \"@sinequa/components/utils\";\n\ndeclare module Prism {\n function highlightAllUnder(el: HTMLElement): void;\n}\n\n@Component({\n selector: \"sq-chat-message\",\n templateUrl: \"./chat-message.component.html\",\n styleUrls: [\"./chat-message.component.scss\"],\n changeDetection: ChangeDetectionStrategy.OnPush,\n standalone: false\n})\nexport class ChatMessageComponent implements OnChanges, AfterViewInit {\n @Input() message: ChatMessage;\n @Input() conversation: ChatMessage[];\n @Input() assistantIcon: string;\n @Input() streaming: boolean;\n @Input() canEdit: boolean = false;\n @Input() canRegenerate: boolean = false;\n @Output() referenceClicked = new EventEmitter();\n @Output() edit = new EventEmitter();\n @Output() regenerate = new EventEmitter();\n @Output() openPreview = new EventEmitter();\n\n processor: Processor;\n\n references: string[] = [];\n referenceMap = new Map();\n\n constructor(\n public searchService: SearchService,\n public ui: UIService,\n public cdr: ChangeDetectorRef,\n public el: ElementRef\n ) {}\n\n ngOnChanges(changes: SimpleChanges): void {\n if(changes.message && this.message.role === \"assistant\") {\n this.references = [];\n this.referenceMap.clear();\n for(let m of this.conversation) {\n if(m.$attachment) {\n for(let i = 0; i < m.$attachment.chunks.length; i++) {\n const refId = `${m.$refId}.${i+1}`;\n this.referenceMap.set(refId, {...m.$attachment, $chunkIndex: i});\n }\n this.referenceMap.set(''+m.$refId!, {...m.$attachment, $chunkIndex: 0});\n }\n }\n\n this.processor = unified()\n .use(remarkParse)\n .use(() => this.referencePlugin);\n\n if(this.streaming) {\n this.processor = this.processor.use(() => this.placeholderPlugin);\n }\n }\n }\n\n ngAfterViewInit(): void {\n Prism?.highlightAllUnder?.(this.el.nativeElement);\n }\n\n onReferenceClicked(record: Record, event: MouseEvent) {\n const url = record.url1 || record.originalUrl;\n if(!url) {\n event.preventDefault();\n }\n this.referenceClicked.emit(record);\n }\n\n /**\n * This Unified plugin looks a text nodes and replaces any reference in the\n * form [1], [2.3], etc. with custom nodes of type \"chat-reference\".\n */\n referencePlugin = (tree: Node) => {\n\n const references = new Set();\n\n // Visit all text nodes\n visit(tree, \"text\", (node: Text, index: number, parent: Parent) => {\n let text = node.value;\n\n text = this.reformatReferences(text);\n const matches = this.getReferenceMatches(text);\n\n // Quit if no references were found\n if(matches.length === 0) {\n return CONTINUE;\n }\n\n const nodes: (Content & {end: number})[] = [];\n\n for(let match of matches) {\n const refId = match[1].trim();\n const [ref] = refId.split(\".\");\n // We find a valid reference in the text\n if(!isNaN(+ref)) {\n references.add(+ref); // Add it to the set of used references\n\n // If needed, insert a text node before the reference\n const current = nodes.at(-1) ?? {end: 0};\n if (match.index! > current.end) {\n nodes.push({ type: \"text\", value: text.substring(current.end, match.index!), end: match.index! });\n }\n\n // Add a custom reference node\n nodes.push({ type: \"chat-reference\", refId, end: match.index! + match[0].length } as any);\n }\n }\n\n // Quit if no references were found\n if(nodes.length === 0) {\n return CONTINUE;\n }\n\n if(nodes.at(-1)!.end < text.length) {\n nodes.push({ type: \"text\", value: text.substring(nodes.at(-1)!.end, text.length), end: text.length });\n }\n\n // Delete the current text node from the parent and replace it with the new nodes\n parent.children.splice(index, 1, ...nodes);\n\n return index + nodes.length; // Visit the next node after the inserted ones\n });\n\n if(references.size > 0) {\n this.references = Array.from(references.values())\n .sort((a,b) => a-b)\n .map(r => ''+r);\n this.cdr.detectChanges();\n }\n\n return tree;\n }\n\n placeholderPlugin = (tree: Node) => {\n\n visit(tree, \"text\", (node: Text, index: number, parent: Parent) => {\n parent.children.push({type: \"streaming-placeholder\"} as any);\n return EXIT;\n }, true);\n\n return tree;\n }\n\n /**\n * Reformat [ids: 12.2, 42.5] to [12.2][42.5]\n */\n reformatReferences(content: string) {\n return content.replace(/\\[(?:ids?:?\\s*)?(?:documents?:?\\s*)?(\\s*(?:,?\\s*\\d+(?:\\.\\d+)?\\s*)+)\\]/g,\n (str, match: string) => `[${match.split(',').join(\"] [\")}]`\n );\n }\n\n /**\n * Match all references in a given message\n */\n getReferenceMatches(content: string) {\n return Array.from(content.matchAll(/\\[(\\s*\\d+(?:\\.\\d+)?\\s*)\\]/g));\n }\n\n copyToClipboard(text: string) {\n this.ui.copyToClipboard(text);\n }\n}\n","\n\n \n \n\n\n\n
\n\n \n\n \n\n {{ref.refId}}\n\n \n {{ref.refId}}\n \n\n \n\n \n \n \n \n \n\n \n
\n
\n {{node.lang}}\n \n
\n 
{{node.value}}
\n
\n \n\n \n\n \n
{{message.content}}
\n \n\n \n
\n \n \n
\n \n
\n
\n \n Document preview\n \n
\n {{ref.chunks[ref.$chunkIndex].text}}\n
\n \n\n \n
\n References:\n \n
\n
\n\n\n
\n","import { ChangeDetectionStrategy, ChangeDetectorRef, Component, ContentChild, ElementRef, EventEmitter, Input, OnChanges, OnDestroy, Output, SimpleChanges, TemplateRef, ViewChild } from \"@angular/core\";\nimport { Action } from \"@sinequa/components/action\";\nimport { AbstractFacet } from \"@sinequa/components/facet\";\nimport { SearchService } from \"@sinequa/components/search\";\nimport { Query } from \"@sinequa/core/app-utils\";\nimport { Utils } from \"@sinequa/core/base\";\nimport { Record } from \"@sinequa/core/web-services\";\nimport { BehaviorSubject, Observable, Subscription, delay, map, of, switchMap } from \"rxjs\";\nimport { ChatService, SearchAttachmentsOptions } from \"./chat.service\";\nimport { ChatAttachment, ChatAttachmentOpen, ChatMessage, GllmModel, GllmModelDescription, GllmTokens, RawMessage } from \"./types\";\n\nexport interface ChatConfig extends SearchAttachmentsOptions {\n // Model\n model: GllmModel;\n temperature: number;\n topP: number;\n maxTokens: number;\n googleContextPrompt: string;\n stream: boolean;\n\n // UI\n textBeforeAttachments: boolean;\n displayAttachments: boolean;\n\n // Prompts\n initialSystemPrompt: string;\n initialUserPrompt: string;\n addAttachmentPrompt: string;\n addAttachmentsPrompt: string;\n attachmentsHiddenPrompt: string;\n}\n\nexport const defaultChatConfig: ChatConfig = {\n // Model\n model: 'GPT35Turbo',\n temperature: 1.0,\n topP: 1.0,\n maxTokens: 800,\n googleContextPrompt: \"Answer only using the text of the documents. If you don't know or don't have enough information from the documents just say so.\",\n stream: true,\n\n // UI\n textBeforeAttachments: false,\n displayAttachments: true,\n\n // Prompts\n initialSystemPrompt: \"You are a helpful assistant\",\n initialUserPrompt: \"Hello, I am a user of the Sinequa search engine\",\n addAttachmentPrompt: \"Summarize this document\",\n addAttachmentsPrompt: \"Summarize these documents\",\n attachmentsHiddenPrompt: \"You can refer to the above documents in the form: [id] (eg [2], [7])\",\n\n // Auto-search\n minScoreTopPassage: 0.5,\n maxTopPassages: 4,\n maxDocuments: 2,\n minDocumentRelevance: 0,\n maxExtractsPerDocument: 3,\n maxPassagesPerDocument: 2,\n startLengthPerDocument: 1024,\n extendBefore: 1,\n extendAfter: 1\n}\n\nexport interface InitChat {\n messages: RawMessage[];\n tokens?: GllmTokens;\n attachments?: Observable;\n}\n\n@Component({\n selector: 'sq-chat',\n templateUrl: './chat.component.html',\n styleUrls: ['./chat.component.scss'],\n changeDetection: ChangeDetectionStrategy.OnPush,\n standalone: false\n})\nexport class ChatComponent extends AbstractFacet implements OnChanges, OnDestroy {\n @Input() chat?: InitChat;\n @Input() enableChat = true;\n @Input() searchMode = false;\n\n // Model\n @Input() model = defaultChatConfig.model;\n @Input() temperature = defaultChatConfig.temperature;\n @Input() topP = defaultChatConfig.topP;\n @Input() maxTokens = defaultChatConfig.maxTokens;\n @Input() googleContextPrompt = defaultChatConfig.googleContextPrompt;\n @Input() stream = defaultChatConfig.stream;\n\n // UI\n @Input() textBeforeAttachments = defaultChatConfig.textBeforeAttachments;\n @Input() displayAttachments = defaultChatConfig.displayAttachments;\n @Input() showCredits = true;\n @Input() customAssistantIcon?: string;\n\n // Prompts\n @Input() initialSystemPrompt = defaultChatConfig.initialSystemPrompt;\n @Input() initialUserPrompt = defaultChatConfig.initialUserPrompt;\n @Input() addAttachmentPrompt = defaultChatConfig.addAttachmentPrompt;\n @Input() addAttachmentsPrompt = defaultChatConfig.addAttachmentsPrompt;\n @Input() attachmentsHiddenPrompt = defaultChatConfig.attachmentsHiddenPrompt;\n\n // Auto-search\n @Input() minScoreTopPassage = defaultChatConfig.minScoreTopPassage;\n @Input() maxTopPassages = defaultChatConfig.maxTopPassages;\n @Input() maxDocuments = defaultChatConfig.maxDocuments;\n @Input() minDocumentRelevance = defaultChatConfig.minDocumentRelevance;\n @Input() maxExtractsPerDocument = defaultChatConfig.maxExtractsPerDocument;\n @Input() maxPassagesPerDocument = defaultChatConfig.maxPassagesPerDocument;\n @Input() startLengthPerDocument = defaultChatConfig.startLengthPerDocument;\n @Input() extendBefore = defaultChatConfig.extendBefore;\n @Input() extendAfter = defaultChatConfig.extendAfter;\n\n @Input() query?: Query;\n @Output() data = new EventEmitter();\n @Output() referenceClicked = new EventEmitter();\n @Output() openPreview = new EventEmitter();\n @Output() loading = new EventEmitter(false);\n @Output() error = new EventEmitter();\n\n @ViewChild('messageList') messageList?: ElementRef;\n @ViewChild('questionInput') questionInput?: ElementRef;\n\n @ContentChild('loadingTpl') loadingTpl?: TemplateRef;\n\n streaming = false;\n loadingAttachments = false;\n messages$ = new BehaviorSubject(undefined);\n\n question = '';\n\n tokensPercentage = 0; // Percentage of tokens used in the conversation over the tokens available in the model\n tokensAbsolute = 0; // Tokens used in the conversation and in the question and attachments\n tokens = 0; // Tokens used in previous messages of the conversation\n get tokensModel() { return this.modelDescription?.size ?? 0; }\n\n openChatAction: Action;\n _actions: Action[] = [];\n override get actions() { return this._actions; }\n\n sub = new Subscription();\n dataSubscription: Subscription | undefined;\n\n /** Variables that depend on the type of model in use */\n modelDescription?: GllmModelDescription;\n assistantIcon: string;\n privacyUrl: string;\n\n messageToEdit?: number;\n\n constructor(\n public chatService: ChatService,\n public searchService: SearchService,\n public cdr: ChangeDetectorRef\n ) {\n super();\n this.sub.add(\n this.chatService.attachments$.subscribe(attachments => {\n this.loadingAttachments = false;\n this.updateTokensPercentage();\n this.question = this.suggestQuestion(attachments);\n if (attachments.length) {\n setTimeout(() => this.questionInput?.nativeElement.focus());\n }\n })\n );\n\n this.sub.add(\n this.chatService.savedChats$.subscribe(() => this.updateActions())\n )\n\n this.openChatAction = new Action({\n icon: 'fas fa-folder-open',\n title: 'Open Saved chat',\n children: []\n });\n\n this._actions.push(new Action({\n icon: 'fas fa-sync',\n title: 'Reset chat',\n action: () => this.loadDefaultChat()\n }));\n\n this._actions.push(new Action({\n icon: 'fas fa-save',\n title: 'Save chat',\n action: () => this.saveChat()\n }));\n\n this._actions.push(this.openChatAction);\n\n this.sub.add(\n this.chatService.initialized$\n .subscribe(() => this.updateModelDescription())\n );\n }\n\n ngOnChanges(changes: SimpleChanges) {\n this.chatService.attachmentModel = this.model;\n\n if (!this.messages$.value || changes.chat) {\n if (this.chat) {\n this.openChat(this.chat.messages, this.chat.tokens, this.chat.attachments);\n }\n else {\n this.loadDefaultChat();\n }\n }\n\n this.updateActions();\n this.updateModelDescription();\n }\n\n ngOnDestroy(): void {\n this.sub.unsubscribe();\n this.dataSubscription?.unsubscribe();\n }\n\n submitQuestion() {\n if(this.question.trim() && this.messages$.value) {\n const attachments = this.chatService.attachments$.value;\n if (this.messageToEdit !== undefined) {\n this.messages$.next(this.messages$.value.slice(0, this.messageToEdit));\n this.messageToEdit = undefined;\n }\n this.fetchAnswer(this.question.trim(), this.messages$.value!, attachments);\n }\n }\n\n searchAttachments(event?: Event) {\n if(this.searchMode && this.question.trim()) {\n event?.preventDefault();\n this.loadingAttachments = true;\n const query = (this.query || this.searchService.query).copy();\n query.text = this.question;\n this.chatService.searchAttachmentsSync(query, {\n minScoreTopPassage: this.minScoreTopPassage,\n maxTopPassages: this.maxTopPassages,\n maxDocuments: this.maxDocuments,\n minDocumentRelevance: this.minDocumentRelevance,\n maxExtractsPerDocument: this.maxExtractsPerDocument,\n maxPassagesPerDocument: this.maxPassagesPerDocument,\n startLengthPerDocument: this.startLengthPerDocument,\n extendBefore: this.extendBefore,\n extendAfter: this.extendAfter\n });\n }\n }\n\n updateTokensPercentage() {\n if (this.tokens) {\n const questionTokens = Math.floor(this.question.trim().length / 3.5);\n const attachments = this.chatService.attachments$.value;\n const attachmentTokens = attachments.reduce((prev, cur) => prev + cur.$tokenCount, 0);\n this.tokensAbsolute = this.tokens + questionTokens + attachmentTokens;\n this.tokensPercentage = Math.min(100, 100 * this.tokensAbsolute / (this.tokensModel - this.maxTokens));\n }\n }\n\n updateModelDescription() {\n this.modelDescription = this.chatService.getModel(this.model);\n switch(this.modelDescription?.provider) {\n case 'Google':\n this.assistantIcon = 'sq-google';\n this.privacyUrl = '';\n break;\n case 'OpenAI':\n this.assistantIcon = 'sq-chatgpt';\n this.privacyUrl = 'https://learn.microsoft.com/en-us/legal/cognitive-services/openai/data-privacy';\n break;\n case 'Cohere':\n this.assistantIcon = 'sq-cohere';\n this.privacyUrl = 'https://cohere.com/security';\n break;\n }\n }\n\n private fetchAnswer(question: string, conversation: ChatMessage[], attachments: ChatAttachment[]) {\n const attachmentMessages = this.getAttachmentMessages(conversation, attachments);\n const userMsg = {role: 'user', content: question, display: true};\n const messages = this.textBeforeAttachments?\n [...conversation, userMsg, ...attachmentMessages]\n : [...conversation, ...attachmentMessages, userMsg];\n this.fetch(messages);\n }\n\n /**\n * Given a list of messages, fetch the server for a continuation and updates\n * the list of messages accordingly.\n * @param messages\n */\n public fetch(messages: ChatMessage[]) {\n this.loading.next(true);\n this.cdr.detectChanges();\n this.dataSubscription?.unsubscribe();\n this.dataSubscription = this.chatService.fetch(messages, this.model, this.temperature, this.maxTokens, this.topP, this.googleContextPrompt, this.stream)\n .subscribe({\n next: res => this.updateData(res.messagesHistory, res.tokens),\n error: err => {\n this.terminateFetch();\n console.error(err);\n this.error.emit(err);\n },\n complete: () => {\n this.terminateFetch();\n setTimeout(() => {\n this.questionInput?.nativeElement.focus();\n })\n }\n });\n this.scrollDown();\n }\n\n private getAttachmentMessages(conversation: ChatMessage[], attachments: ChatAttachment[], display = this.displayAttachments) {\n const attachmentMessages = this.chatService.prepareAttachmentMessages(attachments, conversation, display);\n if(this.attachmentsHiddenPrompt && attachmentMessages.length > 0) {\n attachmentMessages.push(\n {role: 'user', content: this.attachmentsHiddenPrompt, display: false}\n );\n }\n return attachmentMessages;\n }\n\n updateData(messages: ChatMessage[], tokens: number) {\n this.messages$.next(messages);\n this.data.emit(messages);\n this.loading.next(false);\n this.streaming = this.stream; // streaming = false set in terminateFetch\n this.tokens = tokens;\n this.chatService.attachments$.next([]); // This updates the tokensPercentage\n this.question = '';\n this.scrollDown();\n }\n\n suggestQuestion(attachments: ChatAttachment[]) {\n if(attachments.length === 1 && this.question === '') {\n return this.addAttachmentPrompt || this.question;\n }\n else if(attachments.length > 1 && (this.question === '' || this.question === this.addAttachmentPrompt)) {\n return this.addAttachmentsPrompt || this.question;\n }\n return this.question;\n }\n\n scrollDown() {\n setTimeout(() => {\n if(this.messageList?.nativeElement) {\n this.messageList.nativeElement.scrollTop = this.messageList.nativeElement.scrollHeight;\n }\n });\n }\n\n resetChat() {\n if(this.messages$.value) {\n this.messages$.next(undefined); // Reset chat\n }\n this.question = '';\n this.tokensPercentage = 0;\n this.tokensAbsolute = 0;\n this.tokens = 0;\n this.terminateFetch();\n }\n\n loadDefaultChat() {\n this.openChat([\n {role: 'system', content: this.initialSystemPrompt, display: false},\n {role: 'user', content: this.initialUserPrompt, display: true},\n ]);\n }\n\n saveChat() {\n if(this.messages$.value && this.tokens) {\n this.chatService.saveChatModal(this.messages$.value, {model: this.tokensModel, used: this.tokens});\n }\n }\n\n openChat(messages: RawMessage[], tokens?: GllmTokens, attachments$?: Observable) {\n this.resetChat();\n this.loading.next(true);\n this.dataSubscription = this.chatService.restoreMessages(messages)\n .pipe(\n delay(0), // In case the observer completes synchronously, the delay forces async update and prevents \"change after checked\" error\n switchMap(messages => attachments$?.pipe( // Process the optional attachments\n map(attachments => Utils.asArray(attachments)),\n map(attachments => [\n ...messages,\n ...this.chatService.prepareAttachmentMessages(attachments, messages, false)\n ])\n ) ?? of(messages)\n )\n )\n .subscribe(messages => {\n const lastMessage = messages.at(-1);\n if(lastMessage && lastMessage.role !== 'assistant') {\n this.fetch(messages); // If the last message if from a user, an answer from ChatGPT is expected\n }\n else if(tokens) {\n this.updateData(messages, tokens.used); // If the last message if from the assistant, we can load the conversation right away\n }\n });\n }\n\n updateActions() {\n this.openChatAction.children = this.chatService.savedChats.map(chat => new Action({\n text: chat.name,\n action: () => this.openChat(chat.messages, chat.tokens)\n }));\n this.openChatAction.hidden = this.openChatAction.children.length === 0;\n }\n\n terminateFetch() {\n this.dataSubscription?.unsubscribe();\n this.dataSubscription = undefined;\n this.streaming = false;\n this.loading.next(false);\n this.cdr.markForCheck();\n }\n\n editMessage(index: number) {\n this.messageToEdit = index;\n this.question = this.messages$.value![index].content;\n this.questionInput?.nativeElement.focus();\n }\n\n regenerateMessage(index: number) {\n const slicedMessages = this.messages$.value!.slice(0, index);\n this.messages$.next(slicedMessages);\n this.fetch(slicedMessages);\n }\n}\n","\n
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= 100? 100 : tokensPercentage)}\"\n title=\"Tokens used {{tokensAbsolute}}/{{tokensModel - maxTokens}} (quota: {{chatService.quotaPercentage}}%)\">\n {{\n tokensPercentage >= 100? 'Maximum number of tokens reached, reset the chat or remove attachments' :\n chatService.quotaPercentage >= 100? 'You reached your maximum usage quota. Try again '+(chatService.quota!.nextResetUTC | sqRelativeTime) : ''\n }}\n
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  • \n {{ document.doc.title }}\n
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    {{ 'msg#machine-learning.similarDocumentsNotFound' | sqMessage }}

    \n     \n `,\n styles: [`\n :host {\n display: block;\n }\n `],\n changeDetection: ChangeDetectionStrategy.OnPush\n})\nexport class SimilarDocumentsComponent implements OnInit {\n cdr = inject(ChangeDetectorRef);\n similarityService = inject(DocumentSimilarityService);\n\n /**\n * Array of similar documents.\n */\n similarDocuments: SimilarDocument[];\n\n\n _documentId$ = new BehaviorSubject(\"\");\n _queryName$ = new BehaviorSubject(\"\");\n _options$ = new BehaviorSubject({});\n\n /**\n * Event emitted when a document is clicked.\n *\n * @event documentClick\n * @type {EventEmitter}\n */\n @Output() documentClick = new EventEmitter();\n\n /**\n * Sets the query name.\n * @param value The new value for the query name.\n */\n @Input() set queryName(value: string) {\n this._queryName$.next(value);\n }\n\n /**\n * Sets the document ID.\n *\n * @param value - The document ID value.\n */\n @Input() set documentId(id: string) {\n this._documentId$.next(id);\n }\n\n /**\n * Setter for the options property.\n * @param value - The options object.\n */\n @Input() set options(value: OptionsProps) {\n this._options$.next(value);\n }\n\n /**\n * Initializes the component and subscribes to changes in documentId, queryName, and options.\n * Fetches similar documents based on the provided inputs.\n */\n ngOnInit(): void {\n // subscribe to changes in documentId, queryName and options, just after the component is initialized\n // not in the constructor, because the inputs are not available yet\n combineLatest([this._documentId$, this._queryName$, this._options$])\n .pipe(filter(([documentId, queryName]) => !!documentId && !!queryName))\n .subscribe(([documentId, queryName, options]) => {\n this.fetchSimilarDocuments(documentId, queryName, options);\n });\n }\n\n /**\n * Fetches similar documents based on the provided document ID and query name.\n *\n * @param documentId - The ID of the document.\n * @param queryName - The name of the query.\n * @param options - Optional parameters for the similarity service.\n */\n fetchSimilarDocuments(documentId: string, queryName: string, options?: OptionsProps) {\n this.similarityService.get(documentId, queryName, options)\n .pipe(catchError((error) => {\n this.similarDocuments = [];\n this.cdr.detectChanges();\n return [];\n }))\n .subscribe((response) => {\n this.similarDocuments = response;\n this.cdr.detectChanges();\n });\n }\n\n /**\n * Handles the click event for a document.\n * @param document - The document that was clicked.\n */\n handleClick(document: SimilarDocument) {\n this.documentClick.emit(document);\n }\n}\n","export default {\r\n \"machine-learning\": {\r\n \"passage\": \"{items, plural, =1 {Answer} other {Answers}} {current}/{length, number}\",\r\n \"passagesFound\": \"{passagesNb} {passagesNb, plural, =1 {answer} other {answers}} found in {documentsNb} {documentsNb, plural, =1 {document} other {documents}}\",\r\n \"passages\": \"Neural Search Suggested Answers\",\r\n \"answers\": \"Suggested answers\",\r\n \"answersCollapsed\": \"I found {answersNb, number} suggested answers\",\r\n \"answer\": \"Suggested answer\",\r\n \"similarDocuments\": \"Similar Documents\",\r\n \"similarDocumentsNotFound\": \"No similar documents found\"\r\n }\r\n}","export default {\r\n \"machine-learning\": {\r\n \"passage\": \"{items, plural, =1 {Réponse} other {Réponses}} {current}/{length, number}\",\r\n \"passagesFound\": \"{passagesNb} {passagesNb, plural, =1 {réponse trouvée} other {réponses trouvées}} dans {documentsNb} {documentsNb, plural, =1 {document} other {documents}}\",\r\n \"passages\": \"Réponses suggérées par Neural Search\",\r\n \"answers\": \"Réponses suggérées\",\r\n \"answersCollapsed\": \"J'ai trouvé {answersNb, number} réponses suggérées\",\r\n \"answer\": \"Réponse suggérée\",\r\n \"similarDocuments\": \"Documents similaires\",\r\n \"similarDocumentsNotFound\": \"Aucun document similaire trouvé\"\r\n }\r\n}","export default {\r\n \"machine-learning\": {\r\n \"passage\": \"{items, plural, =1 {Antwort} other {Antworten}} {current}/{length, number}\",\r\n \"passagesFound\": \"{passagesNb} {passagesNb, plural, =1 {Antwort} other {Antworten}} in {documentsNb} {documentsNb, plural, =1 {Dokument} other {Dokumenten}} gefunden\",\r\n \"passages\": \"Neural Search Vorgeschlagene Antworten\",\r\n \"answers\": \"Vorgeschlagene Antworten\",\r\n \"answersCollapsed\": \"Ich habe {answersNb, number} vorgeschlagene Antworten gefunden\",\r\n \"answer\": \"Vorgeschlagene Antwort\",\r\n \"similarDocuments\": \"Ähnliche Dokumente\",\r\n \"similarDocumentsNotFound\": \"Keine ähnlichen Dokumente gefunden\"\r\n }\r\n}","import { Utils } from '@sinequa/core/base';\r\nimport _enML from './en';\r\nimport _frML from './fr';\r\nimport _deML from './de';\r\n\r\nconst enML = Utils.merge({}, _enML);\r\nconst frML = Utils.merge({}, _frML);\r\nconst deML = Utils.merge({}, _deML);\r\n\r\nexport { enML, frML, deML };","/**\n * Generated bundle index. Do not edit.\n */\n\nexport * from 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