Files
FastGPT/packages/global/core/workflow/utils.ts
Archer e25d7efb5b feature: V4.11.1 (#5350)
* perf: system toolset & mcp (#5200)

* feat: support system toolset

* fix: type

* fix: system tool config

* chore: mcptool config migrate

* refactor: mcp toolset

* fix: fe type error

* fix: type error

* fix: show version

* chore: support extract tool's secretInputConfig out of inputs

* chore: compatible with old version mcp

* chore: adjust

* deps: update dependency @fastgpt-skd/plugin

* fix: version

* fix: some bug (#5316)

* chore: compatible with old version mcp

* fix: version

* fix: compatible bug

* fix: mcp object params

* fix: type error

* chore: update test cases

* chore: remove log

* fix: toolset node name

* optimize app logs sort (#5310)

* log keys config modal

* multiple select

* api

* fontsize

* code

* chatid

* fix build

* fix

* fix component

* change name

* log keys config

* fix

* delete unused

* fix

* perf: log code

* perf: send auth code modal enter press

* fix log (#5328)

* perf: mcp toolset comment

* perf: log ui

* remove log (#5347)

* doc

* fix: action

* remove log

* fix: Table Optimization (#5319)

* feat: table test: 1

* feat: table test: 2

* feat: table test: 3

* feat: table test: 4

* feat: table test : 5 把maxSize改回chunkSize

* feat: table test : 6 都删了,只看maxSize

* feat: table test : 7 恢复初始,接下来删除标签功能

* feat: table test : 8 删除标签功能

* feat: table test : 9 删除标签功能成功

* feat: table test : 10 继续调试,修改trainingStates

* feat: table test : 11 修改第一步

* feat: table test : 12 修改第二步

* feat: table test : 13 修改了HtmlTable2Md

* feat: table test : 14 修改表头分块规则

* feat: table test : 15 前面表格分的太细了

* feat: table test : 16 改着改着表头又不加了

* feat: table test : 17 用CUSTOM_SPLIT_SIGN不行,重新改

* feat: table test : 18 表头仍然还会多加,但现在分块搞的合理了终于

* feat: table test : 19 还是需要搞好表头问题,先保存一下调试情况

* feat: table test : 20 调试结束,看一下replace有没有问题,没问题就pr

* feat: table test : 21 先把注释删了

* feat: table test : 21 注释replace都改了,下面切main分支看看情况

* feat: table test : 22 修改旧文件

* feat: table test : 23 修改测试文件

* feat: table test : 24 xlsx表格处理

* feat: table test : 25 刚才没保存先com了

* feat: table test : 26 fix

* feat: table test : 27 先com一版调试

* feat: table test : 28 试试放format2csv里

* feat: table test : 29 xlsx解决

* feat: table test : 30 tablesplit解决

* feat: table test : 31

* feat: table test : 32

* perf: table split

* perf: mcp old version compatibility (#5342)

* fix: system-tool secret inputs

* fix: rewrite runtime node i18n for system tool

* perf: mcp old version compatibility

* fix: splitPluginId

* fix: old mcp toolId

* fix: filter secret key

* feat: support system toolset activation

* chore: remove log

* perf: mcp update

* perf: rewrite toolset

* fix:delete variable id (#5335)

* perf: variable update

* fix: multiple select ui

* perf: model config move to plugin

* fix: var conflit

* perf: variable checker

* Avoid empty number

* update doc time

* fix: test

* fix: mcp object

* update count app

* update count app

---------

Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: heheer <zhiyu44@qq.com>
Co-authored-by: colnii <1286949794@qq.com>
Co-authored-by: dreamer6680 <1468683855@qq.com>
2025-08-01 16:08:20 +08:00

439 lines
13 KiB
TypeScript

import {
chatHistoryValueDesc,
FlowNodeInputTypeEnum,
FlowNodeOutputTypeEnum,
FlowNodeTypeEnum
} from './node/constant';
import {
WorkflowIOValueTypeEnum,
NodeInputKeyEnum,
VariableInputEnum,
variableMap,
VARIABLE_NODE_ID,
NodeOutputKeyEnum
} from './constants';
import {
type FlowNodeInputItemType,
type FlowNodeOutputItemType,
type ReferenceArrayValueType,
type ReferenceItemValueType
} from './type/io.d';
import type { NodeToolConfigType } from './type/node';
import { type StoreNodeItemType } from './type/node';
import type {
VariableItemType,
AppTTSConfigType,
AppWhisperConfigType,
AppScheduledTriggerConfigType,
ChatInputGuideConfigType,
AppChatConfigType,
AppAutoExecuteConfigType,
AppQGConfigType
} from '../app/type';
import { type EditorVariablePickerType } from '../../../web/components/common/Textarea/PromptEditor/type';
import {
defaultAutoExecuteConfig,
defaultChatInputGuideConfig,
defaultQGConfig,
defaultTTSConfig,
defaultWhisperConfig
} from '../app/constants';
import { IfElseResultEnum } from './template/system/ifElse/constant';
import { type RuntimeNodeItemType } from './runtime/type';
import {
Input_Template_File_Link,
Input_Template_History,
Input_Template_Stream_MODE,
Input_Template_UserChatInput
} from './template/input';
import { i18nT } from '../../../web/i18n/utils';
import { type RuntimeUserPromptType, type UserChatItemType } from '../../core/chat/type';
import { getNanoid } from '../../common/string/tools';
import { ChatRoleEnum } from '../../core/chat/constants';
import { runtimePrompt2ChatsValue } from '../../core/chat/adapt';
import { getPluginRunContent } from '../../core/app/plugin/utils';
export const getHandleId = (
nodeId: string,
type: 'source' | 'source_catch' | 'target',
key: string
) => {
return `${nodeId}-${type}-${key}`;
};
export const checkInputIsReference = (input: FlowNodeInputItemType) => {
if (input.renderTypeList?.[input?.selectedTypeIndex || 0] === FlowNodeInputTypeEnum.reference)
return true;
return false;
};
/* node */
export const getGuideModule = (modules: StoreNodeItemType[]) =>
modules.find(
(item) =>
item.flowNodeType === FlowNodeTypeEnum.systemConfig ||
// @ts-ignore (adapt v1)
item.flowType === FlowNodeTypeEnum.systemConfig
);
export const splitGuideModule = (guideModules?: StoreNodeItemType) => {
const welcomeText: string =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.welcomeText)?.value ?? '';
const variables: VariableItemType[] =
guideModules?.inputs.find((item) => item.key === NodeInputKeyEnum.variables)?.value ?? [];
// Adapt old version
const questionGuideVal = guideModules?.inputs?.find(
(item) => item.key === NodeInputKeyEnum.questionGuide
)?.value;
const questionGuide: AppQGConfigType =
typeof questionGuideVal === 'boolean'
? { ...defaultQGConfig, open: questionGuideVal }
: questionGuideVal ?? defaultQGConfig;
const ttsConfig: AppTTSConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.tts)?.value ??
defaultTTSConfig;
const whisperConfig: AppWhisperConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.whisper)?.value ??
defaultWhisperConfig;
const scheduledTriggerConfig: AppScheduledTriggerConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.scheduleTrigger)?.value ??
undefined;
const chatInputGuide: ChatInputGuideConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.chatInputGuide)?.value ??
defaultChatInputGuideConfig;
const instruction: string =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.instruction)?.value ?? '';
const autoExecute: AppAutoExecuteConfigType =
guideModules?.inputs?.find((item) => item.key === NodeInputKeyEnum.autoExecute)?.value ??
defaultAutoExecuteConfig;
return {
welcomeText,
variables,
questionGuide,
ttsConfig,
whisperConfig,
scheduledTriggerConfig,
chatInputGuide,
instruction,
autoExecute
};
};
// Get app chat config: db > nodes
export const getAppChatConfig = ({
chatConfig,
systemConfigNode,
storeVariables,
storeWelcomeText,
isPublicFetch = false
}: {
chatConfig?: AppChatConfigType;
systemConfigNode?: StoreNodeItemType;
storeVariables?: VariableItemType[];
storeWelcomeText?: string;
isPublicFetch: boolean;
}): AppChatConfigType => {
const {
welcomeText,
variables,
questionGuide,
ttsConfig,
whisperConfig,
scheduledTriggerConfig,
chatInputGuide,
instruction,
autoExecute
} = splitGuideModule(systemConfigNode);
const config: AppChatConfigType = {
questionGuide,
ttsConfig,
whisperConfig,
scheduledTriggerConfig,
chatInputGuide,
instruction,
autoExecute,
...chatConfig,
variables: storeVariables ?? chatConfig?.variables ?? variables,
welcomeText: storeWelcomeText ?? chatConfig?.welcomeText ?? welcomeText
};
if (!isPublicFetch) {
config.scheduledTriggerConfig = undefined;
}
return config;
};
export const getOrInitModuleInputValue = (input: FlowNodeInputItemType) => {
if (input.value !== undefined || !input.valueType) return input.value;
if (input.defaultValue !== undefined) return input.defaultValue;
const map: Record<string, any> = {
[WorkflowIOValueTypeEnum.boolean]: false,
[WorkflowIOValueTypeEnum.number]: 0,
[WorkflowIOValueTypeEnum.string]: ''
};
return map[input.valueType];
};
export const getModuleInputUiField = (input: FlowNodeInputItemType) => {
// if (input.renderTypeList === FlowNodeInputTypeEnum.input || input.type === FlowNodeInputTypeEnum.textarea) {
// return {
// placeholder: input.placeholder || input.description
// };
// }
return {};
};
export const pluginData2FlowNodeIO = ({
nodes
}: {
nodes: StoreNodeItemType[];
}): {
inputs: FlowNodeInputItemType[];
outputs: FlowNodeOutputItemType[];
} => {
const pluginInput = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput);
const pluginOutput = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginOutput);
return {
inputs: pluginInput
? [
Input_Template_Stream_MODE,
...pluginInput?.inputs.map((item) => ({
...item,
...getModuleInputUiField(item),
value: getOrInitModuleInputValue(item),
canEdit: false,
renderTypeList:
item.renderTypeList[0] === FlowNodeInputTypeEnum.customVariable
? [FlowNodeInputTypeEnum.reference, FlowNodeInputTypeEnum.input]
: item.renderTypeList
}))
]
: [],
outputs: pluginOutput
? pluginOutput.inputs.map((item) => ({
id: item.key,
type: FlowNodeOutputTypeEnum.static,
key: item.key,
valueType: item.valueType,
label: item.label || item.key,
description: item.description
}))
: []
};
};
export const appData2FlowNodeIO = ({
chatConfig
}: {
chatConfig?: AppChatConfigType;
}): {
inputs: FlowNodeInputItemType[];
outputs: FlowNodeOutputItemType[];
} => {
const variableInput = !chatConfig?.variables
? []
: chatConfig.variables.map((item) => {
const renderTypeMap = {
[VariableInputEnum.input]: [FlowNodeInputTypeEnum.input, FlowNodeInputTypeEnum.reference],
[VariableInputEnum.textarea]: [
FlowNodeInputTypeEnum.textarea,
FlowNodeInputTypeEnum.reference
],
[VariableInputEnum.numberInput]: [FlowNodeInputTypeEnum.numberInput],
[VariableInputEnum.select]: [FlowNodeInputTypeEnum.select],
[VariableInputEnum.custom]: [
FlowNodeInputTypeEnum.input,
FlowNodeInputTypeEnum.reference
],
default: [FlowNodeInputTypeEnum.reference]
};
return {
key: item.key,
renderTypeList: renderTypeMap[item.type] || renderTypeMap.default,
label: item.label,
debugLabel: item.label,
description: '',
valueType: WorkflowIOValueTypeEnum.any,
required: item.required,
list: item.enums?.map((enumItem) => ({
label: enumItem.value,
value: enumItem.value
}))
};
});
return {
inputs: [
Input_Template_Stream_MODE,
Input_Template_History,
...(chatConfig?.fileSelectConfig?.canSelectFile || chatConfig?.fileSelectConfig?.canSelectImg
? [Input_Template_File_Link]
: []),
Input_Template_UserChatInput,
...variableInput
],
outputs: [
{
id: NodeOutputKeyEnum.history,
key: NodeOutputKeyEnum.history,
required: true,
label: i18nT('common:core.module.output.label.New context'),
description: i18nT('common:core.module.output.description.New context'),
valueType: WorkflowIOValueTypeEnum.chatHistory,
valueDesc: chatHistoryValueDesc,
type: FlowNodeOutputTypeEnum.static
},
{
id: NodeOutputKeyEnum.answerText,
key: NodeOutputKeyEnum.answerText,
required: false,
label: i18nT('common:core.module.output.label.Ai response content'),
description: i18nT('common:core.module.output.description.Ai response content'),
valueType: WorkflowIOValueTypeEnum.string,
type: FlowNodeOutputTypeEnum.static
}
]
};
};
export const toolData2FlowNodeIO = ({ nodes }: { nodes: StoreNodeItemType[] }) => {
const toolNode = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.tool);
return {
inputs: toolNode?.inputs || [],
outputs: toolNode?.outputs || [],
toolConfig: toolNode?.toolConfig
};
};
export const toolSetData2FlowNodeIO = ({ nodes }: { nodes: StoreNodeItemType[] }) => {
const toolSetNode = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.toolSet);
return {
inputs: toolSetNode?.inputs || [],
outputs: toolSetNode?.outputs || [],
toolConfig: toolSetNode?.toolConfig,
showSourceHandle: false,
showTargetHandle: false
};
};
export const formatEditorVariablePickerIcon = (
variables: { key: string; label: string; type?: `${VariableInputEnum}`; required?: boolean }[]
): EditorVariablePickerType[] => {
return variables.map((item) => ({
...item,
icon: item.type ? variableMap[item.type]?.icon : variableMap['input'].icon
}));
};
// Check the value is a valid reference value format: [variableId, outputId]
export const isValidReferenceValueFormat = (value: any): value is ReferenceItemValueType => {
return Array.isArray(value) && value.length === 2 && typeof value[0] === 'string';
};
/*
Check whether the value([variableId, outputId]) value is a valid reference value:
1. The value must be an array of length 2
2. The first item of the array must be one of VARIABLE_NODE_ID or nodeIds
*/
export const isValidReferenceValue = (
value: any,
nodeIds: string[]
): value is ReferenceItemValueType => {
if (!isValidReferenceValueFormat(value)) return false;
const validIdSet = new Set([VARIABLE_NODE_ID, ...nodeIds]);
return validIdSet.has(value[0]);
};
/*
Check whether the value([variableId, outputId][]) value is a valid reference value array:
1. The value must be an array
2. The array must contain at least one element
3. Each element in the array must be a valid reference value
*/
export const isValidArrayReferenceValue = (
value: any,
nodeIds: string[]
): value is ReferenceArrayValueType => {
if (!Array.isArray(value)) return false;
return value.every((item) => isValidReferenceValue(item, nodeIds));
};
export const getElseIFLabel = (i: number) => {
return i === 0 ? IfElseResultEnum.IF : `${IfElseResultEnum.ELSE_IF} ${i}`;
};
// add value to plugin input node when run plugin
export const updatePluginInputByVariables = (
nodes: RuntimeNodeItemType[],
variables: Record<string, any>
) => {
return nodes.map((node) =>
node.flowNodeType === FlowNodeTypeEnum.pluginInput
? {
...node,
inputs: node.inputs.map((input) => {
const parseValue = (() => {
try {
if (
input.valueType === WorkflowIOValueTypeEnum.string ||
input.valueType === WorkflowIOValueTypeEnum.number ||
input.valueType === WorkflowIOValueTypeEnum.boolean
)
return variables[input.key];
return JSON.parse(variables[input.key]);
} catch (e) {
return variables[input.key];
}
})();
return {
...input,
value: parseValue ?? input.value
};
})
}
: node
);
};
/* Get plugin runtime input user query */
export const getPluginRunUserQuery = ({
pluginInputs,
variables,
files = []
}: {
pluginInputs: FlowNodeInputItemType[];
variables: Record<string, any>;
files?: RuntimeUserPromptType['files'];
}): UserChatItemType & { dataId: string } => {
return {
dataId: getNanoid(24),
obj: ChatRoleEnum.Human,
value: runtimePrompt2ChatsValue({
text: getPluginRunContent({
pluginInputs: pluginInputs,
variables
}),
files
})
};
};