Add img extension (#2172)

* perf: mongo log

* perf: img read

* doc
This commit is contained in:
Archer
2024-07-26 12:46:07 +08:00
committed by GitHub
parent 2d1e53c3b5
commit 8d25a1d3ec
11 changed files with 35 additions and 31 deletions

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@@ -22,6 +22,6 @@
"i18n-ally.pathMatcher": "{locale}/{namespaces}.json",
"i18n-ally.extract.targetPickingStrategy": "most-similar-by-key",
"[typescript]": {
"editor.defaultFormatter": "rvest.vs-code-prettier-eslint"
"editor.defaultFormatter": "esbenp.prettier-vscode"
}
}

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@@ -21,7 +21,7 @@ weight: 816
从任意终端,发起 1 个 HTTP 请求。其中 {{rootkey}} 替换成环境变量里的 `rootkey`{{host}} 替换成**FastGPT 域名**。
```bash
curl --location --request POST 'https://{{host}}/api/admin/initv48 8' \
curl --location --request POST 'https://{{host}}/api/admin/initv488' \
--header 'rootkey: {{rootkey}}' \
--header 'Content-Type: application/json'
```
@@ -40,11 +40,10 @@ curl --location --request POST 'https://{{host}}/api/admin/initv48 8' \
6. 优化 - 移动端快速切换应用交互。
7. 优化 - 节点图标。
8. 优化 - 对话框引用增加额外复制案件,便于复制。增加引用内容折叠。
9. 优化 - 对话框底部增加复制,简便复制交互,无需滚动到消息开头。
10. 优化 - OpenAI sdk 升级,并自定义了 whisper 模型接口(未仔细查看 sdk 实现,但 sdk 中 whisper 接口,似乎无法适配一般 fastapi 接口)
11. 修复 - Permission 表声明问题
12. 修复 - 并行执行节点,运行时间未正确记录
13. 修复 - 运行详情未正确展示嵌套节点信息
14. 修复 - 简易模式,首次进入,无法正确获取知识库配置
15. 修复 - Log debug level 配置无效
16. 修复 - 插件独立运行时,会将插件输入的值进行变量替换,可能导致后续节点变量异常。
9. 优化 - OpenAI sdk 升级,并自定义了 whisper 模型接口(未仔细查看 sdk 实现,但 sdk 中 whisper 接口,似乎无法适配一般 fastapi 接口)
10. 修复 - Permission 表声明问题。
11. 修复 - 并行执行节点,运行时间未正确记录
12. 修复 - 运行详情未正确展示嵌套节点信息
13. 修复 - 简易模式,首次进入,无法正确获取知识库配置
14. 修复 - Log debug level 配置无效
15. 修复 - 插件独立运行时,会将插件输入的值进行变量替换,可能导致后续节点变量异常

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@@ -163,6 +163,7 @@ export const readFileContentFromMongo = async ({
const encoding = file?.metadata?.encoding || detectFileEncoding(fileBuffers);
// Get raw text
const { rawText } = await readRawContentByFileBuffer({
extension,
isQAImport,

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@@ -2,9 +2,10 @@ import { UploadImgProps } from '@fastgpt/global/common/file/api';
import { imageBaseUrl } from '@fastgpt/global/common/file/image/constants';
import { MongoImage } from './schema';
import { ClientSession } from '../../../common/mongo';
import { guessBase64ImageType } from '../utils';
export function getMongoImgUrl(id: string) {
return `${imageBaseUrl}${id}`;
export function getMongoImgUrl(id: string, extension: string) {
return `${imageBaseUrl}${id}.${extension}`;
}
export const maxImgSize = 1024 * 1024 * 12;
@@ -23,9 +24,10 @@ export async function uploadMongoImg({
return Promise.reject('Image too large');
}
const [base64Mime, base64Data] = base64Img.split(',')
const mime = `image/${base64Mime.match(base64MimeRegex)?.[1] ?? 'jpeg'}`
const [base64Mime, base64Data] = base64Img.split(',');
const mime = `image/${base64Mime.match(base64MimeRegex)?.[1] ?? 'image/jpeg'}`;
const binary = Buffer.from(base64Data, 'base64');
const extension = mime.split('/')[1];
const { _id } = await MongoImage.create({
type,
@@ -36,15 +38,20 @@ export async function uploadMongoImg({
shareId
});
return getMongoImgUrl(String(_id));
return getMongoImgUrl(String(_id), extension);
}
export async function readMongoImg({ id }: { id: string }) {
const data = await MongoImage.findById(id);
const formatId = id.replace(/\.[^/.]+$/, '');
const data = await MongoImage.findById(formatId);
if (!data) {
return Promise.reject('Image not found');
}
return data;
return {
binary: data.binary,
mime: data.metadata?.mime ?? guessBase64ImageType(data.binary.toString('base64'))
};
}
export async function delImgByRelatedId({

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@@ -8,7 +8,8 @@ import fs from 'fs';
import { detectFileEncoding } from '@fastgpt/global/common/file/tools';
import type { ReadFileResponse } from '../../../worker/readFile/type';
export const initMarkdownText = ({
// match md img text and upload to db
export const matchMdImgTextAndUpload = ({
teamId,
md,
metadata
@@ -79,7 +80,7 @@ export const readRawContentByFileBuffer = async ({
// markdown data format
if (['md', 'html', 'docx'].includes(extension)) {
rawText = await initMarkdownText({
rawText = await matchMdImgTextAndUpload({
teamId: teamId,
md: rawText,
metadata: metadata

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@@ -46,12 +46,11 @@ export async function connectMongo(): Promise<Mongoose> {
});
console.log('mongo connected');
return connectionMongo;
} catch (error) {
addLog.error('mongo connect error', error);
await connectionMongo.disconnect();
await delay(1000);
connectMongo();
return connectMongo();
}
return connectionMongo;
}

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@@ -1,5 +1,5 @@
import { connectionMongo, getMongoModel, type Model } from '../../common/mongo';
const { Schema, model, models } = connectionMongo;
import { connectionMongo, getMongoModel } from '../../common/mongo';
const { Schema } = connectionMongo;
import { ChatSchema as ChatType } from '@fastgpt/global/core/chat/type.d';
import { ChatSourceMap } from '@fastgpt/global/core/chat/constants';
import {

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@@ -36,6 +36,7 @@ export const iconPaths = {
'common/leftArrowLight': () => import('./icons/common/leftArrowLight.svg'),
'common/linkBlue': () => import('./icons/common/linkBlue.svg'),
'common/loading': () => import('./icons/common/loading.svg'),
'common/logLight': () => import('./icons/common/logLight.svg'),
'common/navbar/pluginFill': () => import('./icons/common/navbar/pluginFill.svg'),
'common/navbar/pluginLight': () => import('./icons/common/navbar/pluginLight.svg'),
'common/openai': () => import('./icons/common/openai.svg'),

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@@ -0,0 +1 @@
<svg t="1721963050324" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4271" width="200" height="200"><path d="M269.844659 81.4308h44.821057v166.626082h-44.821057zM677.140966 491.719232c52.335426 0 102.092273 19.937769 140.105639 56.13883 38.126482 36.31053 60.461599 85.284073 62.891788 137.900467 2.5056 54.276658-16.27424 106.280032-52.881549 146.431672-36.60731 40.15164-86.65972 63.643469-140.936379 66.150285-3.180653 0.147174-6.401444 0.221369-9.576016 0.221369-52.341508 0-102.102004-19.936552-140.114153-56.136398-38.126482-36.309314-60.461599-85.284073-62.891789-137.902899-2.5056-54.276658 16.27424-106.280032 52.88155-146.431672 36.60731-40.15164 86.65972-63.643469 140.936379-66.149069a208.122961 208.122961 0 0 1 9.576016-0.221369h0.008514m-0.00973-44.822274c-3.859355 0-7.746684 0.088791-11.642528 0.268805-136.951744 6.3236-242.847422 122.470346-236.525038 259.422091 6.143586 133.0559 115.942406 236.793842 247.779562 236.793842 3.859355 0 7.747901-0.088791 11.642529-0.268804 136.951744-6.322384 242.847422-122.470346 236.525037-259.422091-6.143586-133.057117-115.942406-236.798708-247.779562-236.793843z" fill="#4E4D4D" p-id="4272"></path><path d="M490.264524 891.110734a272.361206 272.361206 0 0 1-32.682275-37.369937H180.453104c-20.912034 0-37.927007-17.013757-37.927007-37.92579v-590.263526c0-20.912034 17.013757-37.927007 37.927007-37.927007H732.799354c20.912034 0 37.925791 17.013757 37.925791 37.927007V441.15597a268.605238 268.605238 0 0 1 44.821057 21.463023V225.551481c0-45.70045-37.047614-82.746848-82.746848-82.746849H180.453104c-45.70045 0-82.746848 37.047614-82.746848 82.746849v590.263526c0 45.70045 37.047614 82.746848 82.746848 82.746848h317.980164a273.587248 273.587248 0 0 1-8.168744-7.451121z" fill="#4E4D4D" p-id="4273"></path><path d="M770.725145 489.61623a225.243754 225.243754 0 0 1 44.821057 27.231985v-0.21407a225.182938 225.182938 0 0 0-44.821057-27.114003v0.096088zM812.590566 778.530212H646.820768V576.105667h44.821057v157.604704h120.948741zM209.55091 380.121489h498.255687v44.821057H209.55091zM600.682445 81.4308h44.821058v166.626082h-44.821058zM406.842623 712.17437H209.55091v44.821057h203.864657a272.351476 272.351476 0 0 1-6.572944-44.821057zM450.941192 546.147929H209.55091v44.821057h217.435038a268.707408 268.707408 0 0 1 23.955244-44.821057z" p-id="4274"></path></svg>

After

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@@ -2,7 +2,6 @@
Read db file content and response 3000 words
*/
import type { NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { authFile } from '@fastgpt/service/support/permission/auth/file';
import { NextAPI } from '@/service/middleware/entry';
import { DatasetSourceReadTypeEnum } from '@fastgpt/global/core/dataset/constants';

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@@ -2,7 +2,6 @@ import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@fastgpt/service/common/response';
import { connectToDatabase } from '@/service/mongo';
import { readMongoImg } from '@fastgpt/service/common/file/image/controller';
import { guessBase64ImageType } from '@fastgpt/service/common/file/utils';
// get the models available to the system
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
@@ -10,12 +9,9 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
await connectToDatabase();
const { id } = req.query as { id: string };
const { binary, metadata } = await readMongoImg({ id });
const { binary, mime } = await readMongoImg({ id });
res.setHeader(
'Content-Type',
metadata?.mime ?? guessBase64ImageType(binary.toString('base64'))
);
res.setHeader('Content-Type', mime);
res.send(binary);
} catch (error) {
jsonRes(res, {