mirror of
https://github.com/labring/FastGPT.git
synced 2025-07-23 13:03:50 +00:00
Global variables support external variable; Extract module support default value (#921)
This commit is contained in:
@@ -9,7 +9,7 @@ weight: 1221
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最后更新时间:2024年3月3日
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我们非常重视您的隐私保护,在您使用FastGPT云服务时,我们将按照以下政策收集、使用、披露和保护您的个人信息。请您仔细阅读并充分理解本隐私政策。
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我们非常重视您的隐私保护,在您使用FastGPT云服务时(以下简称为“本服务”),我们将按照以下政策收集、使用、披露和保护您的个人信息。请您仔细阅读并充分理解本隐私政策。
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**我们可能需要收集的信息**
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@@ -39,7 +39,7 @@ weight: 1221
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2. 我们会定期对收集、存储和处理的个人信息进行安全评估,以确保个人信息安全。
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3. 在发生个人信息泄露等安全事件时,我们会立即启动应急预案,并在法律法规规定的范围内向您及时告知。
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4. 我们不会使用您的数据进行额外的备份存储或用于模型训练。
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5. 您在本服务进行的数据删除均为物理删除,不可恢复。如有有非物理删除的操作,我们会在服务中特别指出。
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5. 您在本服务进行的数据删除均为物理删除,不可恢复。如有非物理删除的操作,我们会在服务中特别指出。
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**用户权利**
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@@ -169,6 +169,8 @@ curl --location --request POST '{{host}}/shareAuth/start' \
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响应值与[chat 接口格式相同](/docs/development/openapi/chat/#响应),仅多了一个`token`。
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重点关注:`totalPoints`(总消耗AI积分),`token`(Token消耗总数)
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```bash
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curl --location --request POST '{{host}}/shareAuth/finish' \
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--header 'Content-Type: application/json' \
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@@ -20,15 +20,21 @@ curl --location --request POST 'https://{{host}}/api/init/v469' \
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1. 重置计量表。
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2. 执行脏数据清理(清理无效的文件、清理无效的图片、清理无效的知识库集合、清理无效的向量)
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## 外部接口更新
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1. 由于计费系统变更,[分享链接对话上报接口](/docs/development/openapi/share/#5-编写对话结果上报接口可选)需要做一些调整,price字段被totalPoints字段取代。inputToken和outputToken不再提供,只提供`token`字段(总token数量)。
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## V4.6.9 更新说明
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1. 商业版新增 - 知识库新增“增强处理”训练模式,可生成更多类型索引。
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2. 新增 - 完善了HTTP模块的变量提示。
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3. 新增 - HTTP模块支持OpenAI单接口导入。
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4. 优化 - 问题补全。增加英文类型。同时可以设置为单独模块,方便复用。
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5. 优化 - 重写了计量模式
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6. 优化 - Token 过滤历史记录,保持偶数条,防止部分模型报错。
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7. 优化 - 分享链接SEO,可直接展示应用名和头像。
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8. 修复 - 标注功能。
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9. 修复 - qa生成线程计数错误。
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4. 新增 - 全局变量支持增加外部变量。可通过分享链接的Query或 API 的 variables 参数传入。
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5. 新增 - 内容提取模块增加默认值。
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6. 优化 - 问题补全。增加英文类型。同时可以设置为单独模块,方便复用。
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7. 优化 - 重写了计量模式
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8. 优化 - Token 过滤历史记录,保持偶数条,防止部分模型报错。
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9. 优化 - 分享链接SEO,可直接展示应用名和头像。
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10. 修复 - 标注功能。
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11. 修复 - qa生成线程计数错误。
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12. 修复 - 问题分类连线类型错误
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@@ -116,17 +116,29 @@ export enum ModuleOutputKeyEnum {
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export enum VariableInputEnum {
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input = 'input',
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textarea = 'textarea',
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select = 'select'
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select = 'select',
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external = 'external'
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}
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export const variableMap = {
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[VariableInputEnum.input]: {
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icon: 'core/app/variable/input'
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icon: 'core/app/variable/input',
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title: 'core.module.variable.input type',
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desc: ''
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},
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[VariableInputEnum.textarea]: {
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icon: 'core/app/variable/textarea'
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icon: 'core/app/variable/textarea',
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title: 'core.module.variable.textarea type',
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desc: '允许用户最多输入4000字的对话框。'
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},
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[VariableInputEnum.select]: {
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icon: 'core/app/variable/select'
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icon: 'core/app/variable/select',
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title: 'core.module.variable.select type',
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desc: ''
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},
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[VariableInputEnum.external]: {
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icon: 'core/app/variable/external',
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title: 'core.module.variable.External type',
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desc: '可以通过API接口或分享链接的Query传递变量。增加该类型变量的主要目的是用于变量提示。使用例子: 你可以通过分享链接Query中拼接Token,来实现内部系统身份鉴权。'
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}
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};
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@@ -57,7 +57,7 @@ export const ContextExtractModule: FlowModuleTemplateType = {
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{
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key: ModuleInputKeyEnum.extractKeys,
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type: FlowNodeInputTypeEnum.custom,
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label: '目标字段',
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label: '',
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valueType: ModuleIOValueTypeEnum.any,
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description: "由 '描述' 和 'key' 组成一个目标字段,可提取多个目标字段",
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value: [], // {desc: string; key: string; required: boolean; enum: string[]}[]
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@@ -76,6 +76,7 @@ export const ContextExtractModule: FlowModuleTemplateType = {
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{
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key: ModuleOutputKeyEnum.failed,
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label: '提取字段缺失',
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description: '存在一个或多个字段未提取成功。尽管使用了默认值也算缺失。',
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valueType: ModuleIOValueTypeEnum.boolean,
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type: FlowNodeOutputTypeEnum.source,
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targets: []
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1
packages/global/core/module/type.d.ts
vendored
1
packages/global/core/module/type.d.ts
vendored
@@ -80,6 +80,7 @@ export type ContextExtractAgentItemType = {
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desc: string;
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key: string;
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required: boolean;
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defaultValue?: string;
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enum?: string;
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};
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@@ -1,3 +1,5 @@
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import { delay } from '@fastgpt/global/common/system/utils';
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import { addLog } from '../../system/log';
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import { Pool } from 'pg';
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import type { QueryResultRow } from 'pg';
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@@ -15,10 +17,13 @@ export const connectPg = async (): Promise<Pool> => {
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connectionTimeoutMillis: 20000
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});
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global.pgClient.on('error', (err) => {
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global.pgClient.on('error', async (err) => {
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console.log(err);
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global.pgClient?.end();
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global.pgClient = null;
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await delay(1000);
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addLog.info(`Retry connect pg`);
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connectPg();
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});
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@@ -27,7 +32,12 @@ export const connectPg = async (): Promise<Pool> => {
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console.log('pg connected');
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return global.pgClient;
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} catch (error) {
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global.pgClient?.end();
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global.pgClient = null;
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await delay(1000);
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addLog.info(`Retry connect pg`);
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return connectPg();
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}
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};
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@@ -69,6 +69,7 @@ export const iconPaths = {
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'core/app/simpleMode/tts': () => import('./icons/core/app/simpleMode/tts.svg'),
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'core/app/simpleMode/variable': () => import('./icons/core/app/simpleMode/variable.svg'),
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'core/app/ttsFill': () => import('./icons/core/app/ttsFill.svg'),
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'core/app/variable/external': () => import('./icons/core/app/variable/external.svg'),
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'core/app/variable/input': () => import('./icons/core/app/variable/input.svg'),
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'core/app/variable/select': () => import('./icons/core/app/variable/select.svg'),
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'core/app/variable/textarea': () => import('./icons/core/app/variable/textarea.svg'),
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|
@@ -0,0 +1,6 @@
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<svg t="1709524607561" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5121"
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width="128" height="128">
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<path
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d="M310.4 454.4v-118.4h435.2c44.8 0 86.4 25.6 105.6 64 16-22.4 22.4-48 22.4-73.6 0-73.6-57.6-131.2-131.2-131.2H310.4V76.8c0-16-19.2-28.8-35.2-19.2L9.6 246.4c-12.8 9.6-12.8 25.6 0 35.2l268.8 188.8c12.8 12.8 32 3.2 32-16zM1014.4 742.4l-268.8-188.8c-12.8-9.6-35.2 0-35.2 19.2v118.4H278.4c-44.8 0-86.4-25.6-105.6-64-16 22.4-22.4 48-22.4 73.6 0 73.6 57.6 131.2 131.2 131.2h432v118.4c0 16 19.2 28.8 35.2 19.2l268.8-188.8c9.6-12.8 9.6-32-3.2-38.4z"
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p-id="5122"></path>
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</svg>
|
After Width: | Height: | Size: 645 B |
@@ -2,7 +2,7 @@ import { Button, ModalBody, ModalFooter, useDisclosure } from '@chakra-ui/react'
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import React, { useEffect } from 'react';
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import { editorStateToText } from './utils';
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import Editor from './Editor';
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import MyModal from '../../MyModal';
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import MyModal from '../../CustomModal';
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import { useTranslation } from 'next-i18next';
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import { $getRoot, EditorState, type LexicalEditor } from 'lexical';
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import { EditorVariablePickerType } from './type.d';
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|
11
pnpm-lock.yaml
generated
11
pnpm-lock.yaml
generated
@@ -317,6 +317,9 @@ importers:
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jschardet:
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specifier: ^3.0.0
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version: 3.0.0
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json5:
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specifier: ^2.2.3
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version: 2.2.3
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jsonwebtoken:
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specifier: ^9.0.2
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version: 9.0.2
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@@ -5128,7 +5131,7 @@ packages:
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engines: {node: ^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7}
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hasBin: true
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dependencies:
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caniuse-lite: 1.0.30001591
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caniuse-lite: 1.0.30001593
|
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electron-to-chromium: 1.4.690
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node-releases: 2.0.14
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update-browserslist-db: 1.0.13(browserslist@4.23.0)
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@@ -5196,8 +5199,8 @@ packages:
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engines: {node: '>=10'}
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dev: true
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/caniuse-lite@1.0.30001591:
|
||||
resolution: {integrity: sha512-PCzRMei/vXjJyL5mJtzNiUCKP59dm8Apqc3PH8gJkMnMXZGox93RbE76jHsmLwmIo6/3nsYIpJtx0O7u5PqFuQ==}
|
||||
/caniuse-lite@1.0.30001593:
|
||||
resolution: {integrity: sha512-UWM1zlo3cZfkpBysd7AS+z+v007q9G1+fLTUU42rQnY6t2axoogPW/xol6T7juU5EUoOhML4WgBIdG+9yYqAjQ==}
|
||||
|
||||
/canvas@2.11.2:
|
||||
resolution: {integrity: sha512-ItanGBMrmRV7Py2Z+Xhs7cT+FNt5K0vPL4p9EZ/UX/Mu7hFbkxSjKF2KVtPwX7UYWp7dRKnrTvReflgrItJbdw==}
|
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@@ -9124,7 +9127,7 @@ packages:
|
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'@next/env': 13.5.2
|
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'@swc/helpers': 0.5.2
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busboy: 1.6.0
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caniuse-lite: 1.0.30001591
|
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caniuse-lite: 1.0.30001593
|
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postcss: 8.4.14
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react: 18.2.0
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react-dom: 18.2.0(react@18.2.0)
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|
@@ -37,6 +37,7 @@
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"immer": "^9.0.19",
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"js-yaml": "^4.1.0",
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"jschardet": "^3.0.0",
|
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"json5": "^2.2.3",
|
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"jsonwebtoken": "^9.0.2",
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"lodash": "^4.17.21",
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"mermaid": "^10.2.3",
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|
@@ -3,7 +3,9 @@
|
||||
1. 新增 - 知识库新增“增强处理”训练模式,可生成更多类型索引。
|
||||
2. 新增 - 完善了HTTP模块的变量提示。
|
||||
3. 新增 - HTTP模块支持OpenAI单接口导入。
|
||||
4. 优化 - 问题补全。增加英文类型。同时可以设置为单独模块,方便复用。
|
||||
5. [点击查看高级编排介绍文档](https://doc.fastgpt.in/docs/workflow/intro)
|
||||
6. [使用文档](https://doc.fastgpt.in/docs/intro/)
|
||||
7. [点击查看商业版](https://doc.fastgpt.in/docs/commercial/)
|
||||
4. 新增 - 全局变量支持增加外部变量。可通过分享链接的Query或 API 的 variables 参数传入。
|
||||
5. 新增 - 内容提取模块增加默认值。
|
||||
6. 优化 - 问题补全。增加英文类型。同时可以设置为单独模块,方便复用。
|
||||
7. [点击查看高级编排介绍文档](https://doc.fastgpt.in/docs/workflow/intro)
|
||||
8. [使用文档](https://doc.fastgpt.in/docs/intro/)
|
||||
9. [点击查看商业版](https://doc.fastgpt.in/docs/commercial/)
|
@@ -774,6 +774,8 @@
|
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"Input description": "",
|
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"label": "Dataset quote"
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},
|
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"Default value": "Default ",
|
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"Default value placeholder": "Null characters are returned by default",
|
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"Field Description": "Description",
|
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"Field Name": "Name",
|
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"Field Type": "Type",
|
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@@ -795,10 +797,14 @@
|
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"Field Edit": "Field Edit"
|
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},
|
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"extract": {
|
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"Add field": "Add",
|
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"Enum Description": "Lists the possible values for the field, one per row",
|
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"Enum Value": "Enum",
|
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"Field Description Placeholder": "Name/age /sql statement......",
|
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"Field Setting Title": "Extract field configuration"
|
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"Field Setting Title": "Extract field configuration",
|
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"Required": "Required",
|
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"Required Description": "Even if the field cannot be extracted, it is returned with the default value",
|
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"Target field": "Field"
|
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},
|
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"http": {
|
||||
"Add props": "Add props",
|
||||
@@ -939,6 +945,7 @@
|
||||
"string": "String"
|
||||
},
|
||||
"variable": {
|
||||
"External type": "External",
|
||||
"add option": "Add Option",
|
||||
"input type": "Text",
|
||||
"key": "Key",
|
||||
|
@@ -776,6 +776,8 @@
|
||||
"Input description": "可接收知识库搜索的结果。",
|
||||
"label": "知识库引用"
|
||||
},
|
||||
"Default value": "默认值",
|
||||
"Default value placeholder": "不填则默认返回空字符",
|
||||
"Field Description": "字段描述",
|
||||
"Field Name": "字段名",
|
||||
"Field Type": "字段类型",
|
||||
@@ -797,10 +799,14 @@
|
||||
"Field Edit": "字段编辑"
|
||||
},
|
||||
"extract": {
|
||||
"Add field": "新增字段",
|
||||
"Enum Description": "列举出该字段可能的值,每行一个",
|
||||
"Enum Value": "枚举值",
|
||||
"Field Description Placeholder": "姓名/年龄/sql语句……",
|
||||
"Field Setting Title": "提取字段配置"
|
||||
"Field Setting Title": "提取字段配置",
|
||||
"Required": "必须返回",
|
||||
"Required Description": "即使无法提取该字段,也会使用默认值进行返回",
|
||||
"Target field": "目标字段"
|
||||
},
|
||||
"http": {
|
||||
"Add props": "添加参数",
|
||||
@@ -941,6 +947,7 @@
|
||||
"string": "字符串"
|
||||
},
|
||||
"variable": {
|
||||
"External type": "外部传入",
|
||||
"add option": "添加选项",
|
||||
"input type": "文本",
|
||||
"key": "变量 key",
|
||||
|
@@ -186,6 +186,10 @@ const ChatBox = (
|
||||
() => splitGuideModule(userGuideModule),
|
||||
[userGuideModule]
|
||||
);
|
||||
const filterVariableModules = useMemo(
|
||||
() => variableModules.filter((item) => item.type !== VariableInputEnum.external),
|
||||
[variableModules]
|
||||
);
|
||||
|
||||
// compute variable input is finish.
|
||||
const chatForm = useForm<{
|
||||
@@ -200,17 +204,18 @@ const ChatBox = (
|
||||
|
||||
const [variableInputFinish, setVariableInputFinish] = useState(false); // clicked start chat button
|
||||
const variableIsFinish = useMemo(() => {
|
||||
if (!variableModules || variableModules.length === 0 || chatHistory.length > 0) return true;
|
||||
if (!filterVariableModules || filterVariableModules.length === 0 || chatHistory.length > 0)
|
||||
return true;
|
||||
|
||||
for (let i = 0; i < variableModules.length; i++) {
|
||||
const item = variableModules[i];
|
||||
for (let i = 0; i < filterVariableModules.length; i++) {
|
||||
const item = filterVariableModules[i];
|
||||
if (item.required && !variables[item.key]) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
return variableInputFinish;
|
||||
}, [chatHistory.length, variableInputFinish, variableModules, variables]);
|
||||
}, [chatHistory.length, variableInputFinish, filterVariableModules, variables]);
|
||||
|
||||
// 滚动到底部
|
||||
const scrollToBottom = (behavior: 'smooth' | 'auto' = 'smooth') => {
|
||||
@@ -495,7 +500,7 @@ const ChatBox = (
|
||||
getChatHistories: () => chatHistory,
|
||||
resetVariables(e) {
|
||||
const defaultVal: Record<string, any> = {};
|
||||
variableModules?.forEach((item) => {
|
||||
filterVariableModules?.forEach((item) => {
|
||||
defaultVal[item.key] = '';
|
||||
});
|
||||
|
||||
@@ -519,13 +524,13 @@ const ChatBox = (
|
||||
feConfigs?.show_emptyChat &&
|
||||
showEmptyIntro &&
|
||||
chatHistory.length === 0 &&
|
||||
!variableModules?.length &&
|
||||
!filterVariableModules?.length &&
|
||||
!welcomeText,
|
||||
[
|
||||
chatHistory.length,
|
||||
feConfigs?.show_emptyChat,
|
||||
showEmptyIntro,
|
||||
variableModules?.length,
|
||||
filterVariableModules?.length,
|
||||
welcomeText
|
||||
]
|
||||
);
|
||||
@@ -604,10 +609,10 @@ const ChatBox = (
|
||||
{showEmpty && <Empty />}
|
||||
{!!welcomeText && <WelcomeText appAvatar={appAvatar} welcomeText={welcomeText} />}
|
||||
{/* variable input */}
|
||||
{!!variableModules?.length && (
|
||||
{!!filterVariableModules?.length && (
|
||||
<VariableInput
|
||||
appAvatar={appAvatar}
|
||||
variableModules={variableModules}
|
||||
variableModules={filterVariableModules}
|
||||
variableIsFinish={variableIsFinish}
|
||||
chatForm={chatForm}
|
||||
onSubmitVariables={onSubmitVariables}
|
||||
|
@@ -1,7 +1,7 @@
|
||||
import React from 'react';
|
||||
import { ModalContentProps } from '@chakra-ui/react';
|
||||
import { useSystemStore } from '@/web/common/system/useSystemStore';
|
||||
import CustomModal from '@fastgpt/web/components/common/MyModal';
|
||||
import CustomModal from '@fastgpt/web/components/common/CustomModal';
|
||||
|
||||
export interface MyModalProps extends ModalContentProps {
|
||||
iconSrc?: string;
|
||||
|
@@ -178,7 +178,7 @@ export const FlowProvider = ({
|
||||
const source = nodes.find((node) => node.id === connect.source)?.data;
|
||||
const sourceType = (() => {
|
||||
if (source?.flowType === FlowNodeTypeEnum.classifyQuestion) {
|
||||
return ModuleIOValueTypeEnum.string;
|
||||
return ModuleIOValueTypeEnum.boolean;
|
||||
}
|
||||
if (source?.flowType === FlowNodeTypeEnum.pluginInput) {
|
||||
return source?.inputs.find((input) => input.key === connect.sourceHandle)?.valueType;
|
||||
@@ -189,7 +189,7 @@ export const FlowProvider = ({
|
||||
const targetType = nodes
|
||||
.find((node) => node.id === connect.target)
|
||||
?.data?.inputs.find((input) => input.key === connect.targetHandle)?.valueType;
|
||||
|
||||
console.log(source, targetType);
|
||||
if (!sourceType || !targetType) {
|
||||
return toast({
|
||||
status: 'warning',
|
||||
|
@@ -25,7 +25,7 @@ import {
|
||||
useDisclosure
|
||||
} from '@chakra-ui/react';
|
||||
import { QuestionOutlineIcon, SmallAddIcon } from '@chakra-ui/icons';
|
||||
import { VariableInputEnum } from '@fastgpt/global/core/module/constants';
|
||||
import { VariableInputEnum, variableMap } from '@fastgpt/global/core/module/constants';
|
||||
import type { VariableItemType } from '@fastgpt/global/core/module/type.d';
|
||||
import MyIcon from '@fastgpt/web/components/common/Icon';
|
||||
import { useForm } from 'react-hook-form';
|
||||
@@ -52,23 +52,12 @@ const VariableEdit = ({
|
||||
const [refresh, setRefresh] = useState(false);
|
||||
|
||||
const VariableTypeList = useMemo(
|
||||
() => [
|
||||
{
|
||||
title: t('core.module.variable.input type'),
|
||||
icon: 'core/app/variable/input',
|
||||
value: VariableInputEnum.input
|
||||
},
|
||||
{
|
||||
title: t('core.module.variable.textarea type'),
|
||||
icon: 'core/app/variable/textarea',
|
||||
value: VariableInputEnum.textarea
|
||||
},
|
||||
{
|
||||
title: t('core.module.variable.select type'),
|
||||
icon: 'core/app/variable/select',
|
||||
value: VariableInputEnum.select
|
||||
}
|
||||
],
|
||||
() =>
|
||||
Object.entries(variableMap).map(([key, value]) => ({
|
||||
title: t(value.title),
|
||||
icon: value.icon,
|
||||
value: key
|
||||
})),
|
||||
[t]
|
||||
);
|
||||
|
||||
@@ -79,9 +68,12 @@ const VariableEdit = ({
|
||||
getValues: getValuesEdit,
|
||||
setValue: setValuesEdit,
|
||||
control: editVariableController,
|
||||
handleSubmit: handleSubmitEdit
|
||||
handleSubmit: handleSubmitEdit,
|
||||
watch
|
||||
} = useForm<{ variable: VariableItemType }>();
|
||||
|
||||
const variableType = watch('variable.type');
|
||||
|
||||
const {
|
||||
fields: selectEnums,
|
||||
append: appendEnums,
|
||||
@@ -140,11 +132,11 @@ const VariableEdit = ({
|
||||
<Table bg={'white'}>
|
||||
<Thead>
|
||||
<Tr>
|
||||
<Th w={'18px !important'} p={0} />
|
||||
<Th>{t('core.module.variable.variable name')}</Th>
|
||||
<Th>{t('core.module.variable.key')}</Th>
|
||||
<Th>{t('common.Require Input')}</Th>
|
||||
<Th></Th>
|
||||
<Th w={'18px !important'} p={0} bg={'myGray.50'} />
|
||||
<Th bg={'myGray.50'}>{t('core.module.variable.variable name')}</Th>
|
||||
<Th bg={'myGray.50'}>{t('core.module.variable.key')}</Th>
|
||||
<Th bg={'myGray.50'}>{t('common.Require Input')}</Th>
|
||||
<Th bg={'myGray.50'}></Th>
|
||||
</Tr>
|
||||
</Thead>
|
||||
<Tbody>
|
||||
@@ -188,12 +180,15 @@ const VariableEdit = ({
|
||||
title={t('core.module.Variable Setting')}
|
||||
isOpen={isOpenEdit}
|
||||
onClose={onCloseEdit}
|
||||
maxW={['90vw', '500px']}
|
||||
>
|
||||
<ModalBody>
|
||||
<Flex alignItems={'center'}>
|
||||
<Box w={'70px'}>{t('common.Require Input')}</Box>
|
||||
<Switch {...registerEdit('variable.required')} />
|
||||
</Flex>
|
||||
{variableType !== VariableInputEnum.external && (
|
||||
<Flex alignItems={'center'}>
|
||||
<Box w={'70px'}>{t('common.Require Input')}</Box>
|
||||
<Switch {...registerEdit('variable.required')} />
|
||||
</Flex>
|
||||
)}
|
||||
<Flex mt={5} alignItems={'center'}>
|
||||
<Box w={'80px'}>{t('core.module.variable.variable name')}</Box>
|
||||
<Input
|
||||
@@ -216,8 +211,8 @@ const VariableEdit = ({
|
||||
</Box>
|
||||
<MyRadio
|
||||
gridGap={4}
|
||||
gridTemplateColumns={'repeat(3,1fr)'}
|
||||
value={getValuesEdit('variable.type')}
|
||||
gridTemplateColumns={'repeat(2,1fr)'}
|
||||
value={variableType}
|
||||
list={VariableTypeList}
|
||||
color={'myGray.600'}
|
||||
hiddenCircle
|
||||
@@ -227,7 +222,14 @@ const VariableEdit = ({
|
||||
}}
|
||||
/>
|
||||
|
||||
{getValuesEdit('variable.type') === VariableInputEnum.input && (
|
||||
{/* desc */}
|
||||
{variableMap[variableType]?.desc && (
|
||||
<Box mt={2} fontSize={'sm'} color={'myGray.500'} whiteSpace={'pre-wrap'}>
|
||||
{t(variableMap[variableType].desc)}
|
||||
</Box>
|
||||
)}
|
||||
|
||||
{variableType === VariableInputEnum.input && (
|
||||
<>
|
||||
<Box mt={5} mb={2}>
|
||||
{t('core.module.variable.text max length')}
|
||||
@@ -251,7 +253,7 @@ const VariableEdit = ({
|
||||
</>
|
||||
)}
|
||||
|
||||
{getValuesEdit('variable.type') === VariableInputEnum.select && (
|
||||
{variableType === VariableInputEnum.select && (
|
||||
<>
|
||||
<Box mt={5} mb={2}>
|
||||
{t('core.module.variable.variable options')}
|
||||
|
@@ -16,10 +16,11 @@ import { useTranslation } from 'next-i18next';
|
||||
import MyTooltip from '@/components/MyTooltip';
|
||||
import { QuestionOutlineIcon } from '@chakra-ui/icons';
|
||||
|
||||
export const defaultField = {
|
||||
export const defaultField: ContextExtractAgentItemType = {
|
||||
required: false,
|
||||
defaultValue: '',
|
||||
desc: '',
|
||||
key: '',
|
||||
required: true,
|
||||
enum: ''
|
||||
};
|
||||
|
||||
@@ -33,9 +34,10 @@ const ExtractFieldModal = ({
|
||||
onSubmit: (data: ContextExtractAgentItemType) => void;
|
||||
}) => {
|
||||
const { t } = useTranslation();
|
||||
const { register, handleSubmit } = useForm<ContextExtractAgentItemType>({
|
||||
const { register, handleSubmit, watch } = useForm<ContextExtractAgentItemType>({
|
||||
defaultValues: defaultField
|
||||
});
|
||||
const required = watch('required');
|
||||
|
||||
return (
|
||||
<MyModal
|
||||
@@ -43,19 +45,41 @@ const ExtractFieldModal = ({
|
||||
iconSrc="/imgs/module/extract.png"
|
||||
title={t('core.module.extract.Field Setting Title')}
|
||||
onClose={onClose}
|
||||
w={['90vw', '500px']}
|
||||
>
|
||||
<ModalBody>
|
||||
<Flex alignItems={'center'}>
|
||||
<Box flex={'0 0 70px'}>{t('common.Require Input')}</Box>
|
||||
<Flex mt={2} alignItems={'center'}>
|
||||
<Flex alignItems={'center'} flex={['0 0 80px', '0 0 100px']}>
|
||||
{t('core.module.extract.Required')}
|
||||
<MyTooltip label={t('core.module.extract.Required Description')} forceShow>
|
||||
<QuestionOutlineIcon ml={1} />
|
||||
</MyTooltip>
|
||||
</Flex>
|
||||
<Switch {...register('required')} />
|
||||
</Flex>
|
||||
{required && (
|
||||
<Flex mt={5} alignItems={'center'}>
|
||||
<Box flex={['0 0 80px', '0 0 100px']}>{t('core.module.Default value')}</Box>
|
||||
<Input
|
||||
bg={'myGray.50'}
|
||||
placeholder={t('core.module.Default value placeholder')}
|
||||
{...register('defaultValue')}
|
||||
/>
|
||||
</Flex>
|
||||
)}
|
||||
|
||||
<Flex mt={5} alignItems={'center'}>
|
||||
<Box flex={'0 0 70px'}>{t('core.module.Field key')}</Box>
|
||||
<Input placeholder="name/age/sql" {...register('key', { required: true })} />
|
||||
<Box flex={['0 0 80px', '0 0 100px']}>{t('core.module.Field key')}</Box>
|
||||
<Input
|
||||
bg={'myGray.50'}
|
||||
placeholder="name/age/sql"
|
||||
{...register('key', { required: true })}
|
||||
/>
|
||||
</Flex>
|
||||
<Flex mt={5} alignItems={'center'}>
|
||||
<Box flex={'0 0 70px'}>{t('core.module.Field Description')}</Box>
|
||||
<Box flex={['0 0 80px', '0 0 100px']}>{t('core.module.Field Description')}</Box>
|
||||
<Input
|
||||
bg={'myGray.50'}
|
||||
placeholder={t('core.module.extract.Field Description Placeholder')}
|
||||
{...register('desc', { required: true })}
|
||||
/>
|
||||
@@ -68,14 +92,16 @@ const ExtractFieldModal = ({
|
||||
</MyTooltip>
|
||||
</Flex>
|
||||
|
||||
<Textarea rows={5} placeholder={'apple\npeach\nwatermelon'} {...register('enum')} />
|
||||
<Textarea
|
||||
rows={5}
|
||||
bg={'myGray.50'}
|
||||
placeholder={'apple\npeach\nwatermelon'}
|
||||
{...register('enum')}
|
||||
/>
|
||||
</Box>
|
||||
</ModalBody>
|
||||
|
||||
<ModalFooter>
|
||||
<Button variant={'whiteBase'} mr={3} onClick={onClose}>
|
||||
{t('common.Close')}
|
||||
</Button>
|
||||
<Button onClick={handleSubmit(onSubmit)}>{t('common.Confirm')}</Button>
|
||||
</ModalFooter>
|
||||
</MyModal>
|
||||
|
@@ -1,5 +1,16 @@
|
||||
import React, { useState } from 'react';
|
||||
import { Box, Button, Table, Thead, Tbody, Tr, Th, Td, TableContainer } from '@chakra-ui/react';
|
||||
import {
|
||||
Box,
|
||||
Button,
|
||||
Table,
|
||||
Thead,
|
||||
Tbody,
|
||||
Tr,
|
||||
Th,
|
||||
Td,
|
||||
TableContainer,
|
||||
Flex
|
||||
} from '@chakra-ui/react';
|
||||
import { NodeProps } from 'reactflow';
|
||||
import { FlowModuleItemType } from '@fastgpt/global/core/module/type.d';
|
||||
import { useTranslation } from 'next-i18next';
|
||||
@@ -36,75 +47,87 @@ const NodeExtract = ({ data }: NodeProps<FlowModuleItemType>) => {
|
||||
}: {
|
||||
value?: ContextExtractAgentItemType[];
|
||||
}) => (
|
||||
<Box pt={2}>
|
||||
<Box position={'absolute'} top={0} right={0}>
|
||||
<Box>
|
||||
<Flex alignItems={'center'}>
|
||||
<Box flex={'1 0 0'}>{t('core.module.extract.Target field')}</Box>
|
||||
<Button
|
||||
size={'sm'}
|
||||
variant={'whitePrimary'}
|
||||
leftIcon={<AddIcon fontSize={'10px'} />}
|
||||
onClick={() => setEditExtractField(defaultField)}
|
||||
>
|
||||
新增字段
|
||||
{t('core.module.extract.Add field')}
|
||||
</Button>
|
||||
</Box>
|
||||
<TableContainer>
|
||||
<Table>
|
||||
<Thead>
|
||||
<Tr>
|
||||
<Th>字段 key</Th>
|
||||
<Th>字段描述</Th>
|
||||
<Th>必须</Th>
|
||||
<Th></Th>
|
||||
</Tr>
|
||||
</Thead>
|
||||
<Tbody>
|
||||
{extractKeys.map((item, index) => (
|
||||
<Tr
|
||||
key={index}
|
||||
position={'relative'}
|
||||
whiteSpace={'pre-wrap'}
|
||||
wordBreak={'break-all'}
|
||||
>
|
||||
<Td>{item.key}</Td>
|
||||
<Td>{item.desc}</Td>
|
||||
<Td>{item.required ? '✔' : ''}</Td>
|
||||
<Td whiteSpace={'nowrap'}>
|
||||
<MyIcon
|
||||
mr={3}
|
||||
name={'common/settingLight'}
|
||||
w={'16px'}
|
||||
cursor={'pointer'}
|
||||
onClick={() => {
|
||||
setEditExtractField(item);
|
||||
}}
|
||||
/>
|
||||
<MyIcon
|
||||
name={'delete'}
|
||||
w={'16px'}
|
||||
cursor={'pointer'}
|
||||
onClick={() => {
|
||||
onChangeNode({
|
||||
moduleId,
|
||||
type: 'updateInput',
|
||||
key: ModuleInputKeyEnum.extractKeys,
|
||||
value: {
|
||||
...props,
|
||||
value: extractKeys.filter((extract) => item.key !== extract.key)
|
||||
}
|
||||
});
|
||||
|
||||
onChangeNode({
|
||||
moduleId,
|
||||
type: 'delOutput',
|
||||
key: item.key
|
||||
});
|
||||
}}
|
||||
/>
|
||||
</Td>
|
||||
</Flex>
|
||||
<Box
|
||||
mt={2}
|
||||
borderRadius={'md'}
|
||||
overflow={'hidden'}
|
||||
borderWidth={'1px'}
|
||||
borderBottom="none"
|
||||
>
|
||||
<TableContainer>
|
||||
<Table bg={'white'}>
|
||||
<Thead>
|
||||
<Tr>
|
||||
<Th bg={'myGray.50'}>字段 key</Th>
|
||||
<Th bg={'myGray.50'}>字段描述</Th>
|
||||
<Th bg={'myGray.50'}>必须</Th>
|
||||
<Th bg={'myGray.50'}></Th>
|
||||
</Tr>
|
||||
))}
|
||||
</Tbody>
|
||||
</Table>
|
||||
</TableContainer>
|
||||
</Thead>
|
||||
<Tbody>
|
||||
{extractKeys.map((item, index) => (
|
||||
<Tr
|
||||
key={index}
|
||||
position={'relative'}
|
||||
whiteSpace={'pre-wrap'}
|
||||
wordBreak={'break-all'}
|
||||
>
|
||||
<Td>{item.key}</Td>
|
||||
<Td>{item.desc}</Td>
|
||||
<Td>{item.required ? '✔' : ''}</Td>
|
||||
<Td whiteSpace={'nowrap'}>
|
||||
<MyIcon
|
||||
mr={3}
|
||||
name={'common/settingLight'}
|
||||
w={'16px'}
|
||||
cursor={'pointer'}
|
||||
onClick={() => {
|
||||
setEditExtractField(item);
|
||||
}}
|
||||
/>
|
||||
<MyIcon
|
||||
name={'delete'}
|
||||
w={'16px'}
|
||||
cursor={'pointer'}
|
||||
onClick={() => {
|
||||
onChangeNode({
|
||||
moduleId,
|
||||
type: 'updateInput',
|
||||
key: ModuleInputKeyEnum.extractKeys,
|
||||
value: {
|
||||
...props,
|
||||
value: extractKeys.filter(
|
||||
(extract) => item.key !== extract.key
|
||||
)
|
||||
}
|
||||
});
|
||||
|
||||
onChangeNode({
|
||||
moduleId,
|
||||
type: 'delOutput',
|
||||
key: item.key
|
||||
});
|
||||
}}
|
||||
/>
|
||||
</Td>
|
||||
</Tr>
|
||||
))}
|
||||
</Tbody>
|
||||
</Table>
|
||||
</TableContainer>
|
||||
</Box>
|
||||
</Box>
|
||||
)
|
||||
}}
|
||||
@@ -142,7 +165,6 @@ const NodeExtract = ({ data }: NodeProps<FlowModuleItemType>) => {
|
||||
const newOutput = {
|
||||
key: data.key,
|
||||
label: `提取结果-${data.desc}`,
|
||||
description: '无法提取时不会返回',
|
||||
valueType: ModuleIOValueTypeEnum.string,
|
||||
type: FlowNodeOutputTypeEnum.source,
|
||||
targets: []
|
||||
|
@@ -31,10 +31,9 @@ export const Prompt_ExtractJson = `你可以从 <对话记录></对话记录>
|
||||
|
||||
<字段说明>
|
||||
1. 下面的 JSON 字符串均按照 JSON Schema 的规则描述。
|
||||
2. key 代表字段名;description 代表字段的描述;required 代表字段是否必须;enum 是可选值,代表可选的 value。
|
||||
3. 如果字段内容为空,你可以返回空字符串。
|
||||
|
||||
{{json}}
|
||||
2. key 代表字段名;description 代表字段的描述;enum 是可选值,代表可选的 value。
|
||||
3. 如果没有可提取的内容,忽略该字段。
|
||||
4. 本次需提取的JSON Schema:{{json}}
|
||||
</字段说明>
|
||||
|
||||
<对话记录>
|
||||
|
@@ -4,7 +4,7 @@ import Script from 'next/script';
|
||||
import Head from 'next/head';
|
||||
import { ChakraProvider, ColorModeScript } from '@chakra-ui/react';
|
||||
import Layout from '@/components/Layout';
|
||||
import { theme } from '@/web/styles/theme';
|
||||
import { theme } from '@fastgpt/web/styles/theme';
|
||||
import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
|
||||
import NProgress from 'nprogress'; //nprogress module
|
||||
import Router from 'next/router';
|
||||
|
@@ -31,7 +31,6 @@ import Avatar from '@/components/Avatar';
|
||||
import MyIcon from '@fastgpt/web/components/common/Icon';
|
||||
import VariableEdit from '@/components/core/module/Flow/components/modules/VariableEdit';
|
||||
import MyTextarea from '@/components/common/Textarea/MyTextarea/index';
|
||||
import { DatasetSearchModeMap } from '@fastgpt/global/core/dataset/constants';
|
||||
import SelectAiModel from '@/components/Select/SelectAiModel';
|
||||
import PromptEditor from '@fastgpt/web/components/common/Textarea/PromptEditor';
|
||||
import { formatEditorVariablePickerIcon } from '@fastgpt/global/core/module/utils';
|
||||
|
@@ -30,24 +30,29 @@ import { MongoOutLink } from '@fastgpt/service/support/outLink/schema';
|
||||
import { OutLinkWithAppType } from '@fastgpt/global/support/outLink/type';
|
||||
|
||||
const OutLink = ({
|
||||
shareId,
|
||||
chatId,
|
||||
showHistory,
|
||||
authToken,
|
||||
appName,
|
||||
appIntro,
|
||||
appAvatar
|
||||
}: {
|
||||
shareId: string;
|
||||
chatId: string;
|
||||
showHistory: '0' | '1';
|
||||
authToken?: string;
|
||||
appName?: string;
|
||||
appIntro?: string;
|
||||
appAvatar?: string;
|
||||
}) => {
|
||||
const { t } = useTranslation();
|
||||
const router = useRouter();
|
||||
const {
|
||||
shareId = '',
|
||||
chatId = '',
|
||||
showHistory = '1',
|
||||
authToken,
|
||||
...customVariables
|
||||
} = router.query as {
|
||||
shareId: string;
|
||||
chatId: string;
|
||||
showHistory: '0' | '1';
|
||||
authToken: string;
|
||||
[key: string]: string;
|
||||
};
|
||||
const { toast } = useToast();
|
||||
const { isOpen: isOpenSlider, onClose: onCloseSlider, onOpen: onOpenSlider } = useDisclosure();
|
||||
const { isPc } = useSystemStore();
|
||||
@@ -56,11 +61,7 @@ const OutLink = ({
|
||||
const initSign = useRef(false);
|
||||
const [isEmbed, setIdEmbed] = useState(true);
|
||||
|
||||
const {
|
||||
localUId,
|
||||
shareChatHistory, // abandon
|
||||
clearLocalHistory // abandon
|
||||
} = useShareChatStore();
|
||||
const { localUId } = useShareChatStore();
|
||||
const {
|
||||
histories,
|
||||
loadHistories,
|
||||
@@ -83,7 +84,10 @@ const OutLink = ({
|
||||
const { responseText, responseData } = await streamFetch({
|
||||
data: {
|
||||
messages: prompts,
|
||||
variables,
|
||||
variables: {
|
||||
...customVariables,
|
||||
...variables
|
||||
},
|
||||
shareId,
|
||||
chatId: completionChatId,
|
||||
outLinkUid
|
||||
@@ -159,6 +163,7 @@ const OutLink = ({
|
||||
},
|
||||
[
|
||||
chatId,
|
||||
customVariables,
|
||||
shareId,
|
||||
outLinkUid,
|
||||
t,
|
||||
@@ -391,9 +396,6 @@ const OutLink = ({
|
||||
|
||||
export async function getServerSideProps(context: any) {
|
||||
const shareId = context?.query?.shareId || '';
|
||||
const chatId = context?.query?.chatId || '';
|
||||
const showHistory = context?.query?.showHistory || '1';
|
||||
const authToken = context?.query?.authToken || '';
|
||||
|
||||
const app = await (async () => {
|
||||
try {
|
||||
@@ -413,13 +415,9 @@ export async function getServerSideProps(context: any) {
|
||||
|
||||
return {
|
||||
props: {
|
||||
shareId,
|
||||
chatId,
|
||||
showHistory,
|
||||
authToken,
|
||||
appName: app?.appId?.name,
|
||||
appAvatar: app?.appId?.avatar,
|
||||
appIntro: app?.appId?.intro,
|
||||
appName: app?.appId?.name || '',
|
||||
appAvatar: app?.appId?.avatar || '',
|
||||
appIntro: app?.appId?.intro || '',
|
||||
...(await serviceSideProps(context))
|
||||
}
|
||||
};
|
||||
|
@@ -85,7 +85,7 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
|
||||
}
|
||||
setRequesting(false);
|
||||
},
|
||||
[loginSuccess, toast]
|
||||
[loginSuccess, t, toast]
|
||||
);
|
||||
|
||||
return (
|
||||
|
@@ -57,11 +57,10 @@ const Login = () => {
|
||||
|
||||
/* default login type */
|
||||
useEffect(() => {
|
||||
if (!feConfigs.oauth) return;
|
||||
setPageType(
|
||||
feConfigs.oauth?.wechat ? LoginPageTypeEnum.wechat : LoginPageTypeEnum.passwordLogin
|
||||
feConfigs?.oauth?.wechat ? LoginPageTypeEnum.wechat : LoginPageTypeEnum.passwordLogin
|
||||
);
|
||||
}, [feConfigs.oauth, feConfigs.oauth?.wechat]);
|
||||
}, [feConfigs.oauth]);
|
||||
useEffect(() => {
|
||||
clearToken();
|
||||
router.prefetch('/app/list');
|
||||
|
@@ -16,6 +16,7 @@ import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
|
||||
import { getHistories } from '../utils';
|
||||
import { ModelTypeEnum, getLLMModel } from '@fastgpt/service/core/ai/model';
|
||||
import { formatModelChars2Points } from '@fastgpt/service/support/wallet/usage/utils';
|
||||
import json5 from 'json5';
|
||||
|
||||
type Props = ModuleDispatchProps<{
|
||||
[ModuleInputKeyEnum.history]?: ChatItemType[];
|
||||
@@ -64,7 +65,8 @@ export async function dispatchContentExtract(props: Props): Promise<Response> {
|
||||
|
||||
// remove invalid key
|
||||
for (let key in arg) {
|
||||
if (!extractKeys.find((item) => item.key === key)) {
|
||||
const item = extractKeys.find((item) => item.key === key);
|
||||
if (!item) {
|
||||
delete arg[key];
|
||||
}
|
||||
if (arg[key] === '') {
|
||||
@@ -72,12 +74,20 @@ export async function dispatchContentExtract(props: Props): Promise<Response> {
|
||||
}
|
||||
}
|
||||
|
||||
// auto fill required fields
|
||||
extractKeys.forEach((item) => {
|
||||
if (item.required && !arg[item.key]) {
|
||||
arg[item.key] = item.defaultValue || '';
|
||||
}
|
||||
});
|
||||
|
||||
// auth fields
|
||||
let success = !extractKeys.find((item) => !(item.key in arg));
|
||||
// auth empty value
|
||||
if (success) {
|
||||
for (const key in arg) {
|
||||
if (arg[key] === '') {
|
||||
const item = extractKeys.find((item) => item.key === key);
|
||||
if (!item) {
|
||||
success = false;
|
||||
break;
|
||||
}
|
||||
@@ -125,14 +135,8 @@ async function toolChoice({
|
||||
...histories,
|
||||
{
|
||||
obj: ChatRoleEnum.Human,
|
||||
value: `你的任务:
|
||||
value: `你的任务是根据上下文获取适当的 JSON 字符串。要求:
|
||||
"""
|
||||
${description || '根据用户要求获取适当的 JSON 字符串。'}
|
||||
"""
|
||||
|
||||
要求:
|
||||
"""
|
||||
- 如果字段为空,你返回空字符串。
|
||||
- 字符串不要换行。
|
||||
- 结合上下文和当前问题进行获取。
|
||||
"""
|
||||
@@ -167,8 +171,7 @@ ${description || '根据用户要求获取适当的 JSON 字符串。'}
|
||||
description,
|
||||
parameters: {
|
||||
type: 'object',
|
||||
properties,
|
||||
required: extractKeys.filter((item) => item.required).map((item) => item.key)
|
||||
properties
|
||||
}
|
||||
};
|
||||
const tools: any = [
|
||||
@@ -193,7 +196,7 @@ ${description || '根据用户要求获取适当的 JSON 字符串。'}
|
||||
|
||||
const arg: Record<string, any> = (() => {
|
||||
try {
|
||||
return JSON.parse(
|
||||
return json5.parse(
|
||||
response?.choices?.[0]?.message?.tool_calls?.[0]?.function?.arguments || '{}'
|
||||
);
|
||||
} catch (error) {
|
||||
@@ -225,7 +228,7 @@ async function completions({
|
||||
json: extractKeys
|
||||
.map(
|
||||
(item) =>
|
||||
`{"key":"${item.key}", "description":"${item.desc}", "required":${item.required}${
|
||||
`{"key":"${item.key}", "description":"${item.desc}"${
|
||||
item.enum ? `, "enum":"[${item.enum.split('\n')}]"` : ''
|
||||
}}`
|
||||
)
|
||||
@@ -240,7 +243,6 @@ Human: ${content}`
|
||||
userKey: user.openaiAccount,
|
||||
timeout: 480000
|
||||
});
|
||||
|
||||
const data = await ai.chat.completions.create({
|
||||
model: extractModel.model,
|
||||
temperature: 0.01,
|
||||
@@ -260,19 +262,14 @@ Human: ${content}`
|
||||
arg: {}
|
||||
};
|
||||
|
||||
const jsonStr = answer
|
||||
.substring(start, end + 1)
|
||||
.replace(/(\\n|\\)/g, '')
|
||||
.replace(/ /g, '');
|
||||
|
||||
try {
|
||||
return {
|
||||
rawResponse: answer,
|
||||
tokens: countMessagesTokens(messages),
|
||||
|
||||
arg: JSON.parse(jsonStr) as Record<string, any>
|
||||
arg: json5.parse(answer) as Record<string, any>
|
||||
};
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
return {
|
||||
rawResponse: answer,
|
||||
tokens: countMessagesTokens(messages),
|
||||
|
Reference in New Issue
Block a user