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* perf: tool response tip * perf: image extract * perf: user question tool desc * fix: simple mode load app module * perf: simple mode plugin version * perf: share page reload * refresh simple mode data
130 lines
4.2 KiB
TypeScript
130 lines
4.2 KiB
TypeScript
import type { AppChatConfigType, AppSimpleEditFormType } from '../app/type';
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import { FlowNodeTypeEnum } from '../workflow/node/constant';
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import { NodeInputKeyEnum, FlowNodeTemplateTypeEnum } from '../workflow/constants';
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import type { FlowNodeInputItemType } from '../workflow/type/io.d';
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import { getAppChatConfig } from '../workflow/utils';
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import { StoreNodeItemType } from '../workflow/type/node';
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import { DatasetSearchModeEnum } from '../dataset/constants';
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export const getDefaultAppForm = (): AppSimpleEditFormType => {
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return {
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aiSettings: {
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model: 'gpt-4o-mini',
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systemPrompt: '',
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temperature: 0,
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isResponseAnswerText: true,
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maxHistories: 6,
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maxToken: 4000
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},
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dataset: {
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datasets: [],
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similarity: 0.4,
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limit: 1500,
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searchMode: DatasetSearchModeEnum.embedding,
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usingReRank: false,
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datasetSearchUsingExtensionQuery: true,
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datasetSearchExtensionBg: ''
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},
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selectedTools: [],
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chatConfig: {}
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};
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};
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/* format app nodes to edit form */
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export const appWorkflow2Form = ({
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nodes,
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chatConfig
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}: {
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nodes: StoreNodeItemType[];
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chatConfig: AppChatConfigType;
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}) => {
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const defaultAppForm = getDefaultAppForm();
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const findInputValueByKey = (inputs: FlowNodeInputItemType[], key: string) => {
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return inputs.find((item) => item.key === key)?.value;
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};
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nodes.forEach((node) => {
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if (
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node.flowNodeType === FlowNodeTypeEnum.chatNode ||
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node.flowNodeType === FlowNodeTypeEnum.tools
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) {
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defaultAppForm.aiSettings.model = findInputValueByKey(node.inputs, NodeInputKeyEnum.aiModel);
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defaultAppForm.aiSettings.systemPrompt = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiSystemPrompt
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);
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defaultAppForm.aiSettings.temperature = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiChatTemperature
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);
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defaultAppForm.aiSettings.maxToken = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.aiChatMaxToken
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);
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defaultAppForm.aiSettings.maxHistories = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.history
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);
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} else if (node.flowNodeType === FlowNodeTypeEnum.datasetSearchNode) {
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defaultAppForm.dataset.datasets = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSelectList
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);
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defaultAppForm.dataset.similarity = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSimilarity
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);
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defaultAppForm.dataset.limit = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetMaxTokens
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);
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defaultAppForm.dataset.searchMode =
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findInputValueByKey(node.inputs, NodeInputKeyEnum.datasetSearchMode) ||
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DatasetSearchModeEnum.embedding;
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defaultAppForm.dataset.usingReRank = !!findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchUsingReRank
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);
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defaultAppForm.dataset.datasetSearchUsingExtensionQuery = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchUsingExtensionQuery
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);
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defaultAppForm.dataset.datasetSearchExtensionModel = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchExtensionModel
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);
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defaultAppForm.dataset.datasetSearchExtensionBg = findInputValueByKey(
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node.inputs,
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NodeInputKeyEnum.datasetSearchExtensionBg
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);
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} else if (
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node.flowNodeType === FlowNodeTypeEnum.pluginModule ||
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node.flowNodeType === FlowNodeTypeEnum.appModule
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) {
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if (!node.pluginId) return;
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defaultAppForm.selectedTools.push({
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id: node.nodeId,
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pluginId: node.pluginId,
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name: node.name,
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avatar: node.avatar,
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intro: node.intro || '',
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flowNodeType: node.flowNodeType,
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showStatus: node.showStatus,
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version: node.version,
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inputs: node.inputs,
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outputs: node.outputs,
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templateType: FlowNodeTemplateTypeEnum.other
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});
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} else if (node.flowNodeType === FlowNodeTypeEnum.systemConfig) {
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defaultAppForm.chatConfig = getAppChatConfig({
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chatConfig,
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systemConfigNode: node,
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isPublicFetch: true
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});
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}
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});
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return defaultAppForm;
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};
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