mirror of
https://github.com/labring/FastGPT.git
synced 2025-07-23 05:12:39 +00:00
4.8.10 test (#2601)
* perf: workflow children run params * feat: workflow userId * fix: ui size * perf: Markdown whitespace and ai images split * fix: openai sdk ts
This commit is contained in:
@@ -151,12 +151,23 @@ export const GPTMessages2Chats = (
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obj === ChatRoleEnum.System &&
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item.role === ChatCompletionRequestMessageRoleEnum.System
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) {
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value.push({
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type: ChatItemValueTypeEnum.text,
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text: {
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content: item.content
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}
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});
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if (Array.isArray(item.content)) {
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item.content.forEach((item) => [
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value.push({
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type: ChatItemValueTypeEnum.text,
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text: {
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content: item.text
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}
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})
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]);
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} else {
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value.push({
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type: ChatItemValueTypeEnum.text,
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text: {
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content: item.content
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}
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});
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}
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} else if (
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obj === ChatRoleEnum.Human &&
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item.role === ChatCompletionRequestMessageRoleEnum.User
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15
packages/global/core/workflow/runtime/type.d.ts
vendored
15
packages/global/core/workflow/runtime/type.d.ts
vendored
@@ -26,10 +26,15 @@ export type ChatDispatchProps = {
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res?: NextApiResponse;
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requestOrigin?: string;
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mode: 'test' | 'chat' | 'debug';
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teamId: string; // App teamId
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tmbId: string; // App tmbId
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user: UserModelSchema;
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app: AppDetailType | AppSchema;
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runningAppInfo: {
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id: string; // May be the id of the system plug-in (cannot be used directly to look up the table)
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teamId: string;
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tmbId: string; // App tmbId
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};
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uid: string; // Who run this workflow
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chatId?: string;
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responseChatItemId?: string;
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histories: ChatItemType[];
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@@ -50,10 +55,12 @@ export type ModuleDispatchProps<T> = ChatDispatchProps & {
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};
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export type SystemVariablesType = {
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userId: string;
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appId: string;
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chatId?: string;
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responseChatItemId?: string;
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histories: ChatItemType[];
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cTime: string;
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};
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/* node props */
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@@ -69,7 +76,7 @@ export type RuntimeNodeItemType = {
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inputs: FlowNodeInputItemType[];
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outputs: FlowNodeOutputItemType[];
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pluginId?: string;
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pluginId?: string; // workflow id / plugin id
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};
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export type PluginRuntimeType = {
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@@ -17,7 +17,7 @@ import { RunAppModule } from './system/abandoned/runApp/index';
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import { PluginInputModule } from './system/pluginInput';
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import { PluginOutputModule } from './system/pluginOutput';
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import { RunPluginModule } from './system/runPlugin';
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import { RunAppPluginModule } from './system/runAppPlugin';
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import { RunAppNode } from './system/runApp';
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import { AiQueryExtension } from './system/queryExtension';
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import type { FlowNodeTemplateType } from '../type/node';
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@@ -73,6 +73,6 @@ export const moduleTemplatesFlat: FlowNodeTemplateType[] = [
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),
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EmptyNode,
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RunPluginModule,
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RunAppPluginModule,
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RunAppNode,
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RunAppModule
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];
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@@ -3,7 +3,7 @@ import { FlowNodeTypeEnum } from '../../node/constant';
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import { FlowNodeTemplateType } from '../../type/node';
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import { getHandleConfig } from '../utils';
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export const RunAppPluginModule: FlowNodeTemplateType = {
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export const RunAppNode: FlowNodeTemplateType = {
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id: FlowNodeTypeEnum.appModule,
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templateType: FlowNodeTemplateTypeEnum.other,
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flowNodeType: FlowNodeTypeEnum.appModule,
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@@ -326,27 +326,6 @@ export const updatePluginInputByVariables = (
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);
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};
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/* Remove pluginInput variables from global variables
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(completions api: Plugin input get value from global variables)
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*/
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export const removePluginInputVariables = (
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variables: Record<string, any>,
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nodes: RuntimeNodeItemType[]
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) => {
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const pluginInputNode = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput);
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if (!pluginInputNode) return variables;
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return Object.keys(variables).reduce(
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(acc, key) => {
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if (!pluginInputNode.inputs.find((input) => input.key === key)) {
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acc[key] = variables[key];
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}
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return acc;
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},
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{} as Record<string, any>
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);
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};
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// replace {{$xx.xx$}} variables for text
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export function replaceEditorVariable({
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text,
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@@ -11,7 +11,7 @@
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"jschardet": "3.1.1",
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"nanoid": "^4.0.1",
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"next": "14.2.5",
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"openai": "4.53.0",
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"openai": "4.57.0",
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"openapi-types": "^12.1.3",
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"timezones-list": "^3.0.2"
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},
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@@ -121,46 +121,22 @@ export const loadRequestMessages = async ({
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const imageRegex =
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/(https?:\/\/[^\s/$.?#].[^\s]*\.(?:png|jpe?g|gif|webp|bmp|tiff?|svg|ico|heic|avif))/i;
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const result: { type: 'text' | 'image'; value: string }[] = [];
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let lastIndex = 0;
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let match;
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const result: ChatCompletionContentPart[] = [];
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// 使用正则表达式查找所有匹配项
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while ((match = imageRegex.exec(input.slice(lastIndex))) !== null) {
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const textBefore = input.slice(lastIndex, lastIndex + match.index);
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// 如果图片URL前有文本,添加文本部分
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if (textBefore) {
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result.push({ type: 'text', value: textBefore });
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}
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// 添加图片URL
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result.push({ type: 'image', value: match[0] });
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lastIndex += match.index + match[0].length;
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}
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// 添加剩余的文本(如果有的话)
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if (lastIndex < input.length) {
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result.push({ type: 'text', value: input.slice(lastIndex) });
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}
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return result
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.map((item) => {
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if (item.type === 'text') {
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return { type: 'text', text: item.value };
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// 提取所有HTTPS图片URL并添加到result开头
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const httpsImages = input.match(imageRegex) || [];
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httpsImages.forEach((url) => {
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result.push({
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type: 'image_url',
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image_url: {
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url: url
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}
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if (item.type === 'image') {
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return {
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type: 'image_url',
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image_url: {
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url: item.value
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}
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};
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}
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return { type: 'text', text: item.value };
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})
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.filter(Boolean) as ChatCompletionContentPart[];
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});
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});
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// 添加原始input作为文本
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result.push({ type: 'text', text: input });
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return result;
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}
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// Load image
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const parseUserContent = async (content: string | ChatCompletionContentPart[]) => {
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@@ -31,7 +31,7 @@ type Response = DispatchNodeResultType<{
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export const dispatchAppRequest = async (props: Props): Promise<Response> => {
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const {
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app: workflowApp,
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runningAppInfo,
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workflowStreamResponse,
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histories,
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query,
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@@ -45,7 +45,7 @@ export const dispatchAppRequest = async (props: Props): Promise<Response> => {
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// 检查该工作流的tmb是否有调用该app的权限(不是校验对话的人,是否有权限)
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const { app: appData } = await authAppByTmbId({
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appId: app.id,
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tmbId: workflowApp.tmbId,
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tmbId: runningAppInfo.tmbId,
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per: ReadPermissionVal
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});
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@@ -61,7 +61,11 @@ export const dispatchAppRequest = async (props: Props): Promise<Response> => {
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const { flowResponses, flowUsages, assistantResponses } = await dispatchWorkFlow({
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...props,
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app: appData,
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runningAppInfo: {
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id: String(appData._id),
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teamId: String(appData.teamId),
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tmbId: String(appData.tmbId)
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},
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runtimeNodes: storeNodes2RuntimeNodes(
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appData.modules,
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getWorkflowEntryNodeIds(appData.modules)
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@@ -37,7 +37,7 @@ export async function dispatchDatasetSearch(
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props: DatasetSearchProps
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): Promise<DatasetSearchResponse> {
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const {
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teamId,
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runningAppInfo: { teamId },
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histories,
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node,
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params: {
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@@ -6,7 +6,8 @@ import {
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import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
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import type {
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ChatDispatchProps,
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ModuleDispatchProps
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ModuleDispatchProps,
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SystemVariablesType
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} from '@fastgpt/global/core/workflow/runtime/type';
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import type { RuntimeNodeItemType } from '@fastgpt/global/core/workflow/runtime/type.d';
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import type {
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@@ -554,13 +555,15 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
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/* get system variable */
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export function getSystemVariable({
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user,
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app,
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runningAppInfo,
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chatId,
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responseChatItemId,
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histories = []
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}: Props) {
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histories = [],
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uid
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}: Props): SystemVariablesType {
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return {
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appId: String(app._id),
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userId: uid,
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appId: String(runningAppInfo.id),
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chatId,
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responseChatItemId,
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histories,
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|
@@ -29,7 +29,7 @@ type UserSelectResponse = DispatchNodeResultType<{
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export const dispatchUserSelect = async (props: Props): Promise<UserSelectResponse> => {
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const {
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workflowStreamResponse,
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app: { _id: appId },
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runningAppInfo: { id: appId },
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chatId,
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node: { nodeId, isEntry },
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params: { description, userSelectOptions },
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|
@@ -13,6 +13,7 @@ import { authPluginByTmbId } from '../../../../support/permission/app/auth';
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import { ReadPermissionVal } from '@fastgpt/global/support/permission/constant';
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import { computedPluginUsage } from '../../../app/plugin/utils';
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import { filterSystemVariables } from '../utils';
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import { getPluginRunUserQuery } from '../../utils';
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type RunPluginProps = ModuleDispatchProps<{
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[key: string]: any;
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@@ -22,9 +23,8 @@ type RunPluginResponse = DispatchNodeResultType<{}>;
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export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPluginResponse> => {
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const {
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node: { pluginId },
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app: workflowApp,
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runningAppInfo,
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mode,
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teamId,
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params: data // Plugin input
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} = props;
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@@ -33,9 +33,9 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
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}
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// auth plugin
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await authPluginByTmbId({
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const pluginData = await authPluginByTmbId({
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appId: pluginId,
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tmbId: workflowApp.tmbId,
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tmbId: runningAppInfo.tmbId,
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per: ReadPermissionVal
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});
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@@ -61,14 +61,21 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
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showStatus: false
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};
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});
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const runtimeVariables = {
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...filterSystemVariables(props.variables),
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appId: String(plugin.id)
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};
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const { flowResponses, flowUsages, assistantResponses } = await dispatchWorkFlow({
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...props,
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variables: {
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...filterSystemVariables(props.variables),
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appId: String(plugin.id)
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runningAppInfo: {
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id: String(plugin.id),
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teamId: plugin.teamId || '',
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tmbId: pluginData?.tmbId || ''
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},
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variables: runtimeVariables,
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query: getPluginRunUserQuery(plugin.nodes, runtimeVariables).value,
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chatConfig: {},
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runtimeNodes,
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runtimeEdges: initWorkflowEdgeStatus(plugin.edges)
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});
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@@ -90,7 +97,7 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
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totalPoints: usagePoints,
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pluginOutput: output?.pluginOutput,
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pluginDetail:
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mode === 'test' && plugin.teamId === teamId
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mode === 'test' && plugin.teamId === runningAppInfo.teamId
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? flowResponses.filter((item) => {
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const filterArr = [FlowNodeTypeEnum.pluginOutput];
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return !filterArr.includes(item.moduleType as any);
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|
@@ -16,6 +16,7 @@ import { chatValue2RuntimePrompt, runtimePrompt2ChatsValue } from '@fastgpt/glob
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import { DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/type';
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import { authAppByTmbId } from '../../../../support/permission/app/auth';
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import { ReadPermissionVal } from '@fastgpt/global/support/permission/constant';
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import { getAppLatestVersion } from '../../../app/controller';
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|
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type Props = ModuleDispatchProps<{
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[NodeInputKeyEnum.userChatInput]: string;
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@@ -29,7 +30,7 @@ type Response = DispatchNodeResultType<{
|
||||
|
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export const dispatchRunAppNode = async (props: Props): Promise<Response> => {
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const {
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app: workflowApp,
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||||
runningAppInfo,
|
||||
histories,
|
||||
query,
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node: { pluginId },
|
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@@ -49,9 +50,10 @@ export const dispatchRunAppNode = async (props: Props): Promise<Response> => {
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// Auth the app by tmbId(Not the user, but the workflow user)
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const { app: appData } = await authAppByTmbId({
|
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appId: pluginId,
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tmbId: workflowApp.tmbId,
|
||||
tmbId: runningAppInfo.tmbId,
|
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per: ReadPermissionVal
|
||||
});
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const { nodes, edges, chatConfig } = await getAppLatestVersion(pluginId);
|
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|
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// Auto line
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workflowStreamResponse?.({
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@@ -64,27 +66,31 @@ export const dispatchRunAppNode = async (props: Props): Promise<Response> => {
|
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const chatHistories = getHistories(history, histories);
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const { files } = chatValue2RuntimePrompt(query);
|
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|
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// Concat variables
|
||||
// Rewrite children app variables
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const systemVariables = filterSystemVariables(variables);
|
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const childrenRunVariables = {
|
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...systemVariables,
|
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...childrenAppVariables
|
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...childrenAppVariables,
|
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histories: chatHistories,
|
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appId: String(appData._id)
|
||||
};
|
||||
|
||||
const { flowResponses, flowUsages, assistantResponses } = await dispatchWorkFlow({
|
||||
...props,
|
||||
app: appData,
|
||||
runtimeNodes: storeNodes2RuntimeNodes(
|
||||
appData.modules,
|
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getWorkflowEntryNodeIds(appData.modules)
|
||||
),
|
||||
runtimeEdges: initWorkflowEdgeStatus(appData.edges),
|
||||
runningAppInfo: {
|
||||
id: String(appData._id),
|
||||
teamId: String(appData.teamId),
|
||||
tmbId: String(appData.tmbId)
|
||||
},
|
||||
runtimeNodes: storeNodes2RuntimeNodes(nodes, getWorkflowEntryNodeIds(nodes)),
|
||||
runtimeEdges: initWorkflowEdgeStatus(edges),
|
||||
histories: chatHistories,
|
||||
variables: childrenRunVariables,
|
||||
query: runtimePrompt2ChatsValue({
|
||||
files,
|
||||
text: userChatInput
|
||||
}),
|
||||
variables: childrenRunVariables
|
||||
chatConfig
|
||||
});
|
||||
|
||||
const completeMessages = chatHistories.concat([
|
||||
|
@@ -15,7 +15,7 @@ type Response = DispatchNodeResultType<{}>;
|
||||
|
||||
export const dispatchCustomFeedback = (props: Record<string, any>): Response => {
|
||||
const {
|
||||
app: { _id: appId },
|
||||
runningAppInfo: { id: appId },
|
||||
chatId,
|
||||
responseChatItemId: chatItemId,
|
||||
stream,
|
||||
|
@@ -42,7 +42,7 @@ const UNDEFINED_SIGN = 'UNDEFINED_SIGN';
|
||||
|
||||
export const dispatchHttp468Request = async (props: HttpRequestProps): Promise<HttpResponse> => {
|
||||
let {
|
||||
app: { _id: appId },
|
||||
runningAppInfo: { id: appId },
|
||||
chatId,
|
||||
responseChatItemId,
|
||||
variables,
|
||||
|
@@ -44,7 +44,7 @@ ${content.slice(0, 100)}${content.length > 100 ? '......' : ''}
|
||||
export const dispatchReadFiles = async (props: Props): Promise<Response> => {
|
||||
const {
|
||||
requestOrigin,
|
||||
teamId,
|
||||
runningAppInfo: { teamId },
|
||||
histories,
|
||||
chatConfig,
|
||||
params: { fileUrlList = [] }
|
||||
|
@@ -21,7 +21,7 @@ const UNDEFINED_SIGN = 'UNDEFINED_SIGN';
|
||||
|
||||
export const dispatchLafRequest = async (props: LafRequestProps): Promise<LafResponse> => {
|
||||
let {
|
||||
app: { _id: appId },
|
||||
runningAppInfo: { id: appId },
|
||||
chatId,
|
||||
responseChatItemId,
|
||||
variables,
|
||||
|
@@ -5,7 +5,10 @@ import {
|
||||
WorkflowIOValueTypeEnum,
|
||||
NodeOutputKeyEnum
|
||||
} from '@fastgpt/global/core/workflow/constants';
|
||||
import { RuntimeEdgeItemType } from '@fastgpt/global/core/workflow/runtime/type';
|
||||
import {
|
||||
RuntimeEdgeItemType,
|
||||
SystemVariablesType
|
||||
} from '@fastgpt/global/core/workflow/runtime/type';
|
||||
import { responseWrite } from '../../../common/response';
|
||||
import { NextApiResponse } from 'next';
|
||||
import { SseResponseEventEnum } from '@fastgpt/global/core/workflow/runtime/constants';
|
||||
@@ -144,8 +147,9 @@ export const removeSystemVariable = (variables: Record<string, any>) => {
|
||||
|
||||
return copyVariables;
|
||||
};
|
||||
export const filterSystemVariables = (variables: Record<string, any>) => {
|
||||
export const filterSystemVariables = (variables: Record<string, any>): SystemVariablesType => {
|
||||
return {
|
||||
userId: variables.userId,
|
||||
appId: variables.appId,
|
||||
chatId: variables.chatId,
|
||||
responseChatItemId: variables.responseChatItemId,
|
||||
|
@@ -1,5 +1,13 @@
|
||||
import { SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type';
|
||||
import { countPromptTokens } from '../../common/string/tiktoken/index';
|
||||
import { getNanoid } from '@fastgpt/global/common/string/tools';
|
||||
import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
|
||||
import {
|
||||
getPluginInputsFromStoreNodes,
|
||||
getPluginRunContent
|
||||
} from '@fastgpt/global/core/app/plugin/utils';
|
||||
import { StoreNodeItemType } from '@fastgpt/global/core/workflow/type/node';
|
||||
import { UserChatItemType } from '@fastgpt/global/core/chat/type';
|
||||
|
||||
/* filter search result */
|
||||
export const filterSearchResultsByMaxChars = async (
|
||||
@@ -23,3 +31,25 @@ export const filterSearchResultsByMaxChars = async (
|
||||
|
||||
return results.length === 0 ? list.slice(0, 1) : results;
|
||||
};
|
||||
|
||||
/* Get plugin runtime input user query */
|
||||
export const getPluginRunUserQuery = (
|
||||
nodes: StoreNodeItemType[],
|
||||
variables: Record<string, any>
|
||||
): UserChatItemType & { dataId: string } => {
|
||||
return {
|
||||
dataId: getNanoid(24),
|
||||
obj: ChatRoleEnum.Human,
|
||||
value: [
|
||||
{
|
||||
type: ChatItemValueTypeEnum.text,
|
||||
text: {
|
||||
content: getPluginRunContent({
|
||||
pluginInputs: getPluginInputsFromStoreNodes(nodes),
|
||||
variables
|
||||
})
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
};
|
||||
|
@@ -25,11 +25,13 @@ export const authPluginByTmbId = async ({
|
||||
}) => {
|
||||
const { source } = await splitCombinePluginId(appId);
|
||||
if (source === PluginSourceEnum.personal) {
|
||||
await authAppByTmbId({
|
||||
const { app } = await authAppByTmbId({
|
||||
appId,
|
||||
tmbId,
|
||||
per
|
||||
});
|
||||
|
||||
return app;
|
||||
}
|
||||
};
|
||||
|
||||
|
@@ -6,6 +6,7 @@ export type EditorVariablePickerType = {
|
||||
required?: boolean;
|
||||
icon?: string;
|
||||
valueType?: WorkflowIOValueTypeEnum;
|
||||
valueDesc?: string;
|
||||
};
|
||||
|
||||
export type EditorVariableLabelPickerType = {
|
||||
|
@@ -1,4 +1,11 @@
|
||||
{
|
||||
" i18nT('workflow": {
|
||||
"use_user_id'),\n required": {
|
||||
"workflow": {
|
||||
"use_user_id": ""
|
||||
}
|
||||
}
|
||||
},
|
||||
"Code": "Code",
|
||||
"about_xxx_question": "Questions about xxx",
|
||||
"add_new_input": "Add input",
|
||||
@@ -123,6 +130,7 @@
|
||||
"select_another_application_to_call": "You can choose another application to call",
|
||||
"special_array_format": "Special array format, when the search result is empty, an empty array is returned.",
|
||||
"start_with": "Start with",
|
||||
"system_variables": "System variables",
|
||||
"target_fields_description": "A target field is composed of 'description' and 'key', and multiple target fields can be extracted.",
|
||||
"template": {
|
||||
"ai_chat": "LLM chat",
|
||||
@@ -143,6 +151,7 @@
|
||||
"trigger_after_application_completion": "will be triggered after the application has completely ended",
|
||||
"update_link_error": "Update link exception",
|
||||
"update_specified_node_output_or_global_variable": "You can update the output value of the specified node or update global variables",
|
||||
"use_user_id": "User ID",
|
||||
"user_question": "User issues",
|
||||
"variable_picker_tips": "enter node name or variable name to search",
|
||||
"variable_update": "variable update",
|
||||
|
@@ -1,4 +1,11 @@
|
||||
{
|
||||
" i18nT('workflow": {
|
||||
"use_user_id'),\n required": {
|
||||
"workflow": {
|
||||
"use_user_id": "使用者 ID"
|
||||
}
|
||||
}
|
||||
},
|
||||
"Code": "代码",
|
||||
"about_xxx_question": "关于 xxx 的问题",
|
||||
"add_new_input": "新增输入",
|
||||
@@ -123,6 +130,7 @@
|
||||
"select_another_application_to_call": "可以选择一个其他应用进行调用",
|
||||
"special_array_format": "特殊数组格式,搜索结果为空时,返回空数组。",
|
||||
"start_with": "开始为",
|
||||
"system_variables": "系统变量",
|
||||
"target_fields_description": "由 '描述' 和 'key' 组成一个目标字段,可提取多个目标字段",
|
||||
"template": {
|
||||
"ai_chat": "AI 对话",
|
||||
@@ -143,6 +151,7 @@
|
||||
"trigger_after_application_completion": "将在应用完全结束后触发",
|
||||
"update_link_error": "更新链接异常",
|
||||
"update_specified_node_output_or_global_variable": "可以更新指定节点的输出值或更新全局变量",
|
||||
"use_user_id": "使用者 ID",
|
||||
"user_question": "用户问题",
|
||||
"variable_picker_tips": "可输入节点名或变量名搜索",
|
||||
"variable_update": "变量更新",
|
||||
|
Reference in New Issue
Block a user