Flowise/packages/components/nodes/documentloaders/Unstructured/Unstructured.ts

177 lines
6.0 KiB
TypeScript

import {
HiResModelName,
SkipInferTableTypes,
UnstructuredLoaderOptions,
UnstructuredLoaderStrategy
} from 'langchain/document_loaders/fs/unstructured'
import { BaseDocumentLoader } from 'langchain/document_loaders/base'
import { StringWithAutocomplete } from 'langchain/dist/util/types'
import { Document } from '@langchain/core/documents'
/**
* Set the chunking_strategy to chunk text into larger or smaller elements. Defaults to None with optional arg of by_title
*/
type ChunkingStrategy = 'None' | 'by_title'
/**
* Represents an element returned by the Unstructured API. It has
* properties for the element type, text content, and metadata.
*/
type Element = {
type: string
text: string
// this is purposefully loosely typed
metadata: {
[key: string]: unknown
}
}
export class UnstructuredLoader extends BaseDocumentLoader {
public filePath: string
private apiUrl = 'https://api.unstructured.io/general/v0/general'
private apiKey?: string
private strategy: StringWithAutocomplete<UnstructuredLoaderStrategy> = 'hi_res'
private encoding?: string
private ocrLanguages: Array<string> = []
private coordinates?: boolean
private pdfInferTableStructure?: boolean
private xmlKeepTags?: boolean
private skipInferTableTypes?: Array<StringWithAutocomplete<SkipInferTableTypes>>
private hiResModelName?: StringWithAutocomplete<HiResModelName>
private includePageBreaks?: boolean
private chunkingStrategy?: StringWithAutocomplete<ChunkingStrategy>
private multiPageSections?: boolean
private combineUnderNChars?: number
private newAfterNChars?: number
private maxCharacters?: number
constructor(optionsOrLegacyFilePath: UnstructuredLoaderOptions) {
super()
const options = optionsOrLegacyFilePath
this.apiKey = options.apiKey
this.apiUrl = options.apiUrl ?? this.apiUrl
this.strategy = options.strategy ?? this.strategy
this.encoding = options.encoding
this.ocrLanguages = options.ocrLanguages ?? this.ocrLanguages
this.coordinates = options.coordinates
this.pdfInferTableStructure = options.pdfInferTableStructure
this.xmlKeepTags = options.xmlKeepTags
this.skipInferTableTypes = options.skipInferTableTypes
this.hiResModelName = options.hiResModelName
this.includePageBreaks = options.includePageBreaks
this.chunkingStrategy = options.chunkingStrategy
this.multiPageSections = options.multiPageSections
this.combineUnderNChars = options.combineUnderNChars
this.newAfterNChars = options.newAfterNChars
this.maxCharacters = options.maxCharacters
}
async _partition(buffer: Buffer, fileName: string): Promise<Element[]> {
const formData = new FormData()
formData.append('files', new Blob([buffer]), fileName)
formData.append('strategy', this.strategy)
this.ocrLanguages.forEach((language) => {
formData.append('ocr_languages', language)
})
if (this.encoding) {
formData.append('encoding', this.encoding)
}
if (this.coordinates === true) {
formData.append('coordinates', 'true')
}
if (this.pdfInferTableStructure === true) {
formData.append('pdf_infer_table_structure', 'true')
}
if (this.xmlKeepTags === true) {
formData.append('xml_keep_tags', 'true')
}
if (this.skipInferTableTypes) {
formData.append('skip_infer_table_types', JSON.stringify(this.skipInferTableTypes))
}
if (this.hiResModelName) {
formData.append('hi_res_model_name', this.hiResModelName)
}
if (this.includePageBreaks) {
formData.append('include_page_breaks', 'true')
}
if (this.chunkingStrategy) {
formData.append('chunking_strategy', this.chunkingStrategy)
}
if (this.multiPageSections !== undefined) {
formData.append('multipage_sections', this.multiPageSections ? 'true' : 'false')
}
if (this.combineUnderNChars !== undefined) {
formData.append('combine_under_n_chars', String(this.combineUnderNChars))
}
if (this.newAfterNChars !== undefined) {
formData.append('new_after_n_chars', String(this.newAfterNChars))
}
if (this.maxCharacters !== undefined) {
formData.append('max_characters', String(this.maxCharacters))
}
const headers = {
'UNSTRUCTURED-API-KEY': this.apiKey ?? ''
}
const response = await fetch(this.apiUrl, {
method: 'POST',
body: formData,
headers
})
if (!response.ok) {
throw new Error(`Failed to partition file ${this.filePath} with error ${response.status} and message ${await response.text()}`)
}
const elements = await response.json()
if (!Array.isArray(elements)) {
throw new Error(`Expected partitioning request to return an array, but got ${elements}`)
}
return elements.filter((el) => typeof el.text === 'string') as Element[]
}
async loadAndSplitBuffer(buffer: Buffer, fileName: string): Promise<Document[]> {
const elements = await this._partition(buffer, fileName)
const documents: Document[] = []
for (const element of elements) {
const { metadata, text } = element
if (typeof text === 'string') {
documents.push(
new Document({
pageContent: text,
metadata: {
...metadata,
category: element.type
}
})
)
}
}
return documents
}
async load(): Promise<Document[]> {
return Promise.reject(new Error('load() is not supported for UnstructuredLoader. Use loadAndSplitBuffer() instead.'))
}
}