FastGPT/src/utils/file.ts
2023-05-23 15:09:57 +08:00

257 lines
6.6 KiB
TypeScript

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