mirror of
https://github.com/Mintplex-Labs/anything-llm.git
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b35feede87
* Add support for fetching single document in documents folder * Add document object to upload + support link scraping via API * hotfixes for documentation * update api docs
59 lines
1.7 KiB
JavaScript
59 lines
1.7 KiB
JavaScript
const { v4 } = require("uuid");
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const { DocxLoader } = require("langchain/document_loaders/fs/docx");
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const {
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createdDate,
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trashFile,
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writeToServerDocuments,
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} = require("../../utils/files");
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const { tokenizeString } = require("../../utils/tokenizer");
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const { default: slugify } = require("slugify");
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async function asDocX({ fullFilePath = "", filename = "" }) {
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const loader = new DocxLoader(fullFilePath);
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console.log(`-- Working ${filename} --`);
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let pageContent = [];
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const docs = await loader.load();
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for (const doc of docs) {
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console.log(doc.metadata);
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console.log(`-- Parsing content from docx page --`);
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if (!doc.pageContent.length) continue;
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pageContent.push(doc.pageContent);
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}
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if (!pageContent.length) {
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console.error(`Resulting text content was empty for ${filename}.`);
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trashFile(fullFilePath);
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return {
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success: false,
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reason: `No text content found in ${filename}.`,
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documents: [],
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};
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}
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const content = pageContent.join("");
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const data = {
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id: v4(),
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url: "file://" + fullFilePath,
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title: filename,
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docAuthor: "no author found",
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description: "No description found.",
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docSource: "pdf file uploaded by the user.",
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chunkSource: filename,
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published: createdDate(fullFilePath),
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wordCount: content.split(" ").length,
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pageContent: content,
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token_count_estimate: tokenizeString(content).length,
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};
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const document = writeToServerDocuments(
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data,
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`${slugify(filename)}-${data.id}`
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);
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trashFile(fullFilePath);
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console.log(`[SUCCESS]: ${filename} converted & ready for embedding.\n`);
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return { success: true, reason: null, documents: [document] };
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}
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module.exports = asDocX;
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