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Commit c722ced6 by Archer Committed by GitHub
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4.8.12 test (#2994) 

* perf: run loop code

* doc

* fix: mulity loop node will error; loop node variables cannot inherit

* back save tip position

* fix: child workflow runtime

* stream connection
parent f89452ac
Showing with 134 additions and 92 deletions
docSite/content/zh-cn/docs/development/upgrading/4812.md
......@@ -9,6 +9,26 @@ weight: 812
## 更新指南
### 1. 做好数据备份
### 2. 修改镜像
- 更新 FastGPT 镜像 tag: v4.8.12-beta
- 更新 FastGPT 商业版镜像 tag: v4.8.12-beta
- Sandbox 镜像，可以不更新
### 3. 商业版执行初始化
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 商业版域名**。
```bash
curl --location --request POST 'https://{{host}}/api/admin/init/4812' \
--header 'rootkey: {{rootkey}}' \
--header 'Content-Type: application/json'
```
会初始化应用和知识库的成员组数据。
## 更新说明
......@@ -29,3 +49,6 @@ weight: 812
15. 修复 - AI 响应为空时，会造成 LLM 历史记录合并。
16. 修复 - 用户交互节点未阻塞流程。
17. 修复 - 新建 APP，有时候会导致空指针报错。
18. 修复 - 拥有多个循环节点时，错误运行。
19. 修复 - 循环节点中修改变量，无法传递。
20. 修复 - 非 stream 模式，嵌套子应用/插件执行时无法获取子应用响应。
packages/global/core/workflow/template/system/variableUpdate/index.tsx
......@@ -18,7 +18,7 @@ export const VariableUpdateNode: FlowNodeTemplateType = {
name: i18nT('workflow:variable_update'),
intro: i18nT('workflow:update_specified_node_output_or_global_variable'),
showStatus: false,
isTool: false,
isTool: true,
version: '481',
inputs: [
{
......
packages/service/core/workflow/dispatch/agent/runTool/index.ts
......@@ -211,18 +211,7 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
});
// flat child tool response
let newVariables: Record<string, any> = props.variables;
const childToolResponse = dispatchFlowResponse
.map((item) => {
// Computed new variables
newVariables = {
...newVariables,
...item.newVariables
};
return item.flowResponses;
})
.flat();
const childToolResponse = dispatchFlowResponse.map((item) => item.flowResponses).flat();
// concat tool usage
const totalPointsUsage =
......@@ -261,7 +250,6 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
},
...flatUsages
],
[DispatchNodeResponseKeyEnum.newVariables]: newVariables,
[DispatchNodeResponseKeyEnum.interactive]: toolWorkflowInteractiveResponse
};
};
packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts
......@@ -27,7 +27,7 @@ import { getNanoid, sliceStrStartEnd } from '@fastgpt/global/common/string/tools
import { addLog } from '../../../../../common/system/log';
import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
import { WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
type ToolRunResponseType = {
toolRunResponse: DispatchFlowResponse;
......
packages/service/core/workflow/dispatch/index.ts
......@@ -41,7 +41,8 @@ import { dispatchPluginOutput } from './plugin/runOutput';
import { removeSystemVariable, valueTypeFormat } from './utils';
import {
filterWorkflowEdges,
checkNodeRunStatus
checkNodeRunStatus,
textAdaptGptResponse
} from '@fastgpt/global/core/workflow/runtime/utils';
import { ChatNodeUsageType } from '@fastgpt/global/support/wallet/bill/type';
import { dispatchRunTools } from './agent/runTool/index';
......@@ -161,6 +162,20 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
res.setHeader('Access-Control-Allow-Origin', '*');
res.setHeader('X-Accel-Buffering', 'no');
res.setHeader('Cache-Control', 'no-cache, no-transform');
// 10s sends a message to prevent the browser from thinking that the connection is disconnected
const sendStreamTimerSign = () => {
setTimeout(() => {
props?.workflowStreamResponse?.({
event: SseResponseEventEnum.answer,
data: textAdaptGptResponse({
text: ''
})
});
sendStreamTimerSign();
}, 10000);
};
sendStreamTimerSign();
}
variables = {
......@@ -592,56 +607,60 @@ export async function dispatchWorkFlow(data: Props): Promise<DispatchFlowRespons
};
}
// start process width initInput
const entryNodes = runtimeNodes.filter((item) => item.isEntry);
// reset entry
runtimeNodes.forEach((item) => {
// Interactive node is not the entry node, return interactive result
if (
item.flowNodeType !== FlowNodeTypeEnum.userSelect &&
item.flowNodeType !== FlowNodeTypeEnum.formInput &&
item.flowNodeType !== FlowNodeTypeEnum.tools
) {
item.isEntry = false;
}
});
await Promise.all(entryNodes.map((node) => checkNodeCanRun(node)));
// focus try to run pluginOutput
const pluginOutputModule = runtimeNodes.find(
(item) => item.flowNodeType === FlowNodeTypeEnum.pluginOutput
);
if (pluginOutputModule && props.mode !== 'debug') {
await nodeRunWithActive(pluginOutputModule);
}
try {
// start process width initInput
const entryNodes = runtimeNodes.filter((item) => item.isEntry);
// reset entry
runtimeNodes.forEach((item) => {
// Interactive node is not the entry node, return interactive result
if (
item.flowNodeType !== FlowNodeTypeEnum.userSelect &&
item.flowNodeType !== FlowNodeTypeEnum.formInput &&
item.flowNodeType !== FlowNodeTypeEnum.tools
) {
item.isEntry = false;
}
});
await Promise.all(entryNodes.map((node) => checkNodeCanRun(node)));
// Interactive node
const interactiveResult = (() => {
if (nodeInteractiveResponse) {
const interactiveAssistant = handleInteractiveResult({
entryNodeIds: nodeInteractiveResponse.entryNodeIds,
interactiveResponse: nodeInteractiveResponse.interactiveResponse
});
chatAssistantResponse.push(interactiveAssistant);
return interactiveAssistant.interactive;
// focus try to run pluginOutput
const pluginOutputModule = runtimeNodes.find(
(item) => item.flowNodeType === FlowNodeTypeEnum.pluginOutput
);
if (pluginOutputModule && props.mode !== 'debug') {
await nodeRunWithActive(pluginOutputModule);
}
})();
return {
flowResponses: chatResponses,
flowUsages: chatNodeUsages,
debugResponse: {
finishedNodes: runtimeNodes,
finishedEdges: runtimeEdges,
nextStepRunNodes: debugNextStepRunNodes
},
workflowInteractiveResponse: interactiveResult,
[DispatchNodeResponseKeyEnum.runTimes]: workflowRunTimes,
[DispatchNodeResponseKeyEnum.assistantResponses]:
mergeAssistantResponseAnswerText(chatAssistantResponse),
[DispatchNodeResponseKeyEnum.toolResponses]: toolRunResponse,
newVariables: removeSystemVariable(variables)
};
// Interactive node
const interactiveResult = (() => {
if (nodeInteractiveResponse) {
const interactiveAssistant = handleInteractiveResult({
entryNodeIds: nodeInteractiveResponse.entryNodeIds,
interactiveResponse: nodeInteractiveResponse.interactiveResponse
});
chatAssistantResponse.push(interactiveAssistant);
return interactiveAssistant.interactive;
}
})();
return {
flowResponses: chatResponses,
flowUsages: chatNodeUsages,
debugResponse: {
finishedNodes: runtimeNodes,
finishedEdges: runtimeEdges,
nextStepRunNodes: debugNextStepRunNodes
},
workflowInteractiveResponse: interactiveResult,
[DispatchNodeResponseKeyEnum.runTimes]: workflowRunTimes,
[DispatchNodeResponseKeyEnum.assistantResponses]:
mergeAssistantResponseAnswerText(chatAssistantResponse),
[DispatchNodeResponseKeyEnum.toolResponses]: toolRunResponse,
newVariables: removeSystemVariable(variables)
};
} catch (error) {
return Promise.reject(error);
}
}
/* get system variable */
......
packages/service/core/workflow/dispatch/loop/runLoop.ts
......@@ -7,6 +7,7 @@ import {
import { dispatchWorkFlow } from '..';
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
import { AIChatItemValueItemType, ChatHistoryItemResType } from '@fastgpt/global/core/chat/type';
import { cloneDeep } from 'lodash';
type Props = ModuleDispatchProps<{
[NodeInputKeyEnum.loopInputArray]: Array<any>;
......@@ -19,6 +20,7 @@ type Response = DispatchNodeResultType<{
export const dispatchLoop = async (props: Props): Promise<Response> => {
const {
params,
runtimeEdges,
runtimeNodes,
user,
node: { name }
......@@ -28,7 +30,10 @@ export const dispatchLoop = async (props: Props): Promise<Response> => {
if (!Array.isArray(loopInputArray)) {
return Promise.reject('Input value is not an array');
}
if (loopInputArray.length > 50) {
const maxLength = process.env.WORKFLOW_MAX_LOOP_TIMES
? Number(process.env.WORKFLOW_MAX_LOOP_TIMES)
: 50;
if (loopInputArray.length > maxLength) {
return Promise.reject('Input array length cannot be greater than 50');
}
......@@ -39,27 +44,25 @@ export const dispatchLoop = async (props: Props): Promise<Response> => {
let newVariables: Record<string, any> = props.variables;
for await (const item of loopInputArray) {
runtimeNodes.forEach((node) => {
if (
childrenNodeIdList.includes(node.nodeId) &&
node.flowNodeType === FlowNodeTypeEnum.loopStart
) {
node.isEntry = true;
node.inputs = node.inputs.map((input) =>
input.key === NodeInputKeyEnum.loopStartInput
? {
...input,
value: item
}
: input
);
}
});
const response = await dispatchWorkFlow({
...props,
runtimeNodes: runtimeNodes.map((node) =>
node.flowNodeType === FlowNodeTypeEnum.loopStart
? {
...node,
isEntry: true,
inputs: node.inputs.map((input) =>
input.key === NodeInputKeyEnum.loopStartInput
? {
...input,
value: item
}
: input
)
}
: {
...node,
isEntry: false
}
)
runtimeEdges: cloneDeep(runtimeEdges)
});
const loopOutputValue = response.flowResponses.find(
......
packages/service/core/workflow/dispatch/plugin/run.ts
......@@ -113,11 +113,10 @@ export const dispatchRunPlugin = async (props: RunPluginProps): Promise<RunPlugi
}
const usagePoints = await computedPluginUsage(plugin, flowUsages);
const childStreamResponse = system_forbid_stream ? false : props.stream;
return {
// 嵌套运行时，如果 childApp stream=false，实际上不会有任何内容输出给用户，所以不需要存储
assistantResponses: childStreamResponse ? assistantResponses : [],
assistantResponses: system_forbid_stream ? [] : assistantResponses,
// responseData, // debug
[DispatchNodeResponseKeyEnum.runTimes]: runTimes,
[DispatchNodeResponseKeyEnum.nodeResponse]: {
......
packages/service/core/workflow/dispatch/plugin/runApp.ts
......@@ -124,7 +124,7 @@ export const dispatchRunAppNode = async (props: Props): Promise<Response> => {
const usagePoints = flowUsages.reduce((sum, item) => sum + (item.totalPoints || 0), 0);
return {
assistantResponses: childStreamResponse ? assistantResponses : [],
assistantResponses: system_forbid_stream ? [] : assistantResponses,
[DispatchNodeResponseKeyEnum.runTimes]: runTimes,
[DispatchNodeResponseKeyEnum.nodeResponse]: {
moduleLogo: appData.avatar,
......
projects/app/.env.template
......@@ -39,4 +39,6 @@ STORE_LOG_LEVEL=warn
# 安全配置
# 工作流最大运行次数，避免极端的死循环情况
WORKFLOW_MAX_RUN_TIMES=500
\ No newline at end of file
WORKFLOW_MAX_RUN_TIMES=500
# 循环最大运行次数，避免极端的死循环情况
WORKFLOW_MAX_LOOP_TIMES=50
\ No newline at end of file
projects/app/package.json
{
"name": "app",
"version": "4.8.11",
"version": "4.8.12",
"private": false,
"scripts": {
"dev": "next dev",
......
projects/app/src/components/common/folder/MoveModal.tsx
......@@ -172,7 +172,11 @@ const MoveModal = ({ moveResourceId, title, server, onConfirm, onClose, moveHint
onClose={onClose}
>
<ModalBody flex={'1 0 0'} overflow={'auto'} minH={'400px'}>
{moveHint && <LightTip text={moveHint} />}
{moveHint && (
<Box mb={1}>
<LightTip text={moveHint} />
</Box>
)}
<RenderList list={folderList} />
</ModalBody>
<ModalFooter>
......
projects/app/src/pages/app/detail/components/Workflow/Header.tsx
......@@ -34,7 +34,11 @@ const Header = () => {
const { t } = useTranslation();
const { isPc } = useSystem();
const router = useRouter();
const { toast } = useToast();
const { toast: backSaveToast } = useToast({
containerStyle: {
mt: '60px'
}
});
const { appDetail, onSaveApp, currentTab } = useContextSelector(AppContext, (v) => v);
const isV2Workflow = appDetail?.version === 'v2';
......@@ -273,7 +277,7 @@ const Header = () => {
await onClickSave({});
onCloseBackConfirm();
onBack();
toast({
backSaveToast({
status: 'success',
title: t('app:saved_success'),
position: 'top-right'
......
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