mirror of
https://github.com/labring/FastGPT.git
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257 lines
6.6 KiB
TypeScript
257 lines
6.6 KiB
TypeScript
import mammoth from 'mammoth';
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import Papa from 'papaparse';
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import { getOpenAiEncMap } from './plugin/openai';
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/**
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* 读取 txt 文件内容
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*/
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export const readTxtContent = (file: File) => {
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return new Promise((resolve: (_: string) => void, reject) => {
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try {
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const reader = new FileReader();
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reader.onload = () => {
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resolve(reader.result as string);
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};
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reader.onerror = (err) => {
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console.log('error txt read:', err);
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reject('读取 txt 文件失败');
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};
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reader.readAsText(file);
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} catch (error) {
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reject('浏览器不支持文件内容读取');
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}
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});
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};
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/**
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* 读取 pdf 内容
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*/
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export const readPdfContent = (file: File) =>
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new Promise<string>((resolve, reject) => {
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try {
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const pdfjsLib = window['pdfjs-dist/build/pdf'];
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pdfjsLib.workerSrc = '/js/pdf.worker.js';
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const readPDFPage = async (doc: any, pageNo: number) => {
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const page = await doc.getPage(pageNo);
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const tokenizedText = await page.getTextContent();
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const pageText = tokenizedText.items.map((token: any) => token.str).join(' ');
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return pageText;
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};
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let reader = new FileReader();
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reader.readAsArrayBuffer(file);
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reader.onload = async (event) => {
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if (!event?.target?.result) return reject('解析 PDF 失败');
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try {
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const doc = await pdfjsLib.getDocument(event.target.result).promise;
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const pageTextPromises = [];
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for (let pageNo = 1; pageNo <= doc.numPages; pageNo++) {
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pageTextPromises.push(readPDFPage(doc, pageNo));
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}
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const pageTexts = await Promise.all(pageTextPromises);
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resolve(pageTexts.join('\n'));
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} catch (err) {
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console.log(err, 'pdfjs error');
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reject('解析 PDF 失败');
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}
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};
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reader.onerror = (err) => {
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console.log(err, 'reader error');
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reject('解析 PDF 失败');
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};
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} catch (error) {
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reject('浏览器不支持文件内容读取');
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}
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});
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/**
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* 读取doc
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*/
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export const readDocContent = (file: File) =>
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new Promise<string>((resolve, reject) => {
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try {
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const reader = new FileReader();
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reader.readAsArrayBuffer(file);
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reader.onload = async ({ target }) => {
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if (!target?.result) return reject('读取 doc 文件失败');
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try {
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const res = await mammoth.extractRawText({
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arrayBuffer: target.result as ArrayBuffer
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});
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resolve(res?.value);
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} catch (error) {
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reject('读取 doc 文件失败, 请转换成 PDF');
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}
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};
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reader.onerror = (err) => {
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console.log('error doc read:', err);
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reject('读取 doc 文件失败');
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};
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} catch (error) {
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reject('浏览器不支持文件内容读取');
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}
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});
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/**
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* 读取csv
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*/
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export const readCsvContent = async (file: File) => {
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try {
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const textArr = await readTxtContent(file);
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const json = Papa.parse(textArr).data as string[][];
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if (json.length === 0) {
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throw new Error('csv 解析失败');
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}
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return {
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header: json.shift()?.filter((item) => item) as string[],
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data: json.map((item) => item?.filter((item) => item))
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};
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} catch (error) {
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return Promise.reject('解析 csv 文件失败');
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}
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};
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/**
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* file download
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*/
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export const fileDownload = ({
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text,
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type,
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filename
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}: {
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text: string;
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type: string;
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filename: string;
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}) => {
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// 导出为文件
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const blob = new Blob([`\uFEFF${text}`], { type: `${type};charset=utf-8;` });
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// 创建下载链接
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const downloadLink = document.createElement('a');
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downloadLink.href = window.URL.createObjectURL(blob);
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downloadLink.download = filename;
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// 添加链接到页面并触发下载
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document.body.appendChild(downloadLink);
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downloadLink.click();
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document.body.removeChild(downloadLink);
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};
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/**
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* text split into chunks
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* maxLen - one chunk len. max: 3500
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* slideLen - The size of the before and after Text
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* maxLen > slideLen
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*/
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export const splitText_token = ({
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text,
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maxLen,
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slideLen
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}: {
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text: string;
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maxLen: number;
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slideLen: number;
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}) => {
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const enc = getOpenAiEncMap()['gpt-3.5-turbo'];
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// filter empty text. encode sentence
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const encodeText = enc.encode(text);
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const chunks: string[] = [];
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let tokens = 0;
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let startIndex = 0;
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let endIndex = Math.min(startIndex + maxLen, encodeText.length);
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let chunkEncodeArr = encodeText.slice(startIndex, endIndex);
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const decoder = new TextDecoder();
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while (startIndex < encodeText.length) {
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tokens += chunkEncodeArr.length;
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chunks.push(decoder.decode(enc.decode(chunkEncodeArr)));
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startIndex += maxLen - slideLen;
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endIndex = Math.min(startIndex + maxLen, encodeText.length);
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chunkEncodeArr = encodeText.slice(Math.min(encodeText.length - slideLen, startIndex), endIndex);
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}
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return {
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chunks,
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tokens
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};
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};
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export const fileToBase64 = (file: File) => {
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return new Promise((resolve, reject) => {
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const reader = new FileReader();
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reader.readAsDataURL(file);
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reader.onload = () => resolve(reader.result);
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reader.onerror = (error) => reject(error);
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});
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};
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/**
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* compress image. response base64
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* @param maxSize The max size of the compressed image
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*/
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export const compressImg = ({
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file,
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maxW = 200,
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maxH = 200,
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maxSize = 1024 * 100
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}: {
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file: File;
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maxW?: number;
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maxH?: number;
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maxSize?: number;
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}) =>
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new Promise<string>((resolve, reject) => {
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const reader = new FileReader();
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reader.readAsDataURL(file);
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reader.onload = () => {
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const img = new Image();
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// @ts-ignore
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img.src = reader.result;
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img.onload = () => {
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let width = img.width;
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let height = img.height;
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if (width > height) {
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if (width > maxW) {
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height *= maxW / width;
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width = maxW;
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}
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} else {
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if (height > maxH) {
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width *= maxH / height;
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height = maxH;
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}
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}
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const canvas = document.createElement('canvas');
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canvas.width = width;
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canvas.height = height;
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const ctx = canvas.getContext('2d');
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if (!ctx) {
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return reject('压缩图片异常');
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}
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ctx.drawImage(img, 0, 0, width, height);
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const compressedDataUrl = canvas.toDataURL(file.type, 1);
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// 移除 canvas 元素
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canvas.remove();
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if (compressedDataUrl.length > maxSize) {
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return reject('图片太大了');
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}
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resolve(compressedDataUrl);
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};
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};
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reader.onerror = (err) => {
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console.log(err);
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reject('压缩图片异常');
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};
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});
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