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