mirror of
https://github.com/labring/FastGPT.git
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76d6234de6
* Agent features (#6345) * Test agent (#6220) * squash: compress all commits into one * feat: plan response in ui * response ui * perf: agent config * merge * tool select ux * perf: chat ui * perf: agent editform * tmp code * feat: save chat * Complete agent parent (#6049) * add role and tools filling * add: file-upload --------- Co-authored-by: xxyyh <2289112474@qq> * perf: top agent code * top agent (#6062) Co-authored-by: xxyyh <2289112474@qq> * fix: ts * skill editor ui * ui * perf: rewrite type with zod * skill edit ui * skill agent (#6089) * cp skill chat * rebasefdf933dand add skill chat * 1. skill 的 CRUD 2. skill 的信息渲染到前端界面 * solve comment * remove chatid and chatItemId * skill match * perf: skill manage * fix: ts --------- Co-authored-by: xxyyh <2289112474@qq> Co-authored-by: archer <545436317@qq.com> * fix: ts * fix: loop import * skill tool config (#6114) Co-authored-by: xxyyh <2289112474@qq> * feat: load tool in agent * skill memory (#6126) Co-authored-by: xxyyh <2289112474@qq> * perf: agent skill editor * perf: helperbot ui * agent code * perf: context * fix: request context * agent usage * perf: agent context and pause * perf: plan response * Test agent sigle skill (#6184) * feat:top box fill * prompt fix --------- Co-authored-by: xxyyh <2289112474@qq> * perf: agent chat ui * Test agent new (#6219) * have-replan * agent --------- Co-authored-by: xxyyh <2289112474@qq> * fix: ts --------- Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com> Co-authored-by: xxyyh <2289112474@qq> * feat: consolidate agent and MCP improvements This commit consolidates 17 commits including: - MCP tools enhancements and fixes - Agent system improvements and optimizations - Auth limit and prompt updates - Tool response compression and error tracking - Simple app adaptation - Code quality improvements (TypeScript, ESLint, Zod) - Version type migration to schema - Remove deprecated useRequest2 - Add LLM error tracking - Toolset ID validation fixes --------- Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com> Co-authored-by: xxyyh <2289112474@qq> * fix: transform avatar copy;perf: filter invalid tool * update llm response storage time * fix: openapi schema * update skill desc * feat: cache hit data * i18n * lock * chat logs support error filter & user search (#6373) * chat log support searching by user name * support error filter * fix * fix overflow * optimize * fix init script * fix * perf: get log users * updat ecomment * fix: ts * fix: test --------- Co-authored-by: archer <545436317@qq.com> * Fix: agent (#6376) * Agent features (#6345) * Test agent (#6220) * squash: compress all commits into one * feat: plan response in ui * response ui * perf: agent config * merge * tool select ux * perf: chat ui * perf: agent editform * tmp code * feat: save chat * Complete agent parent (#6049) * add role and tools filling * add: file-upload --------- Co-authored-by: xxyyh <2289112474@qq> * perf: top agent code * top agent (#6062) Co-authored-by: xxyyh <2289112474@qq> * fix: ts * skill editor ui * ui * perf: rewrite type with zod * skill edit ui * skill agent (#6089) * cp skill chat * rebasefdf933dand add skill chat * 1. skill 的 CRUD 2. skill 的信息渲染到前端界面 * solve comment * remove chatid and chatItemId * skill match * perf: skill manage * fix: ts --------- Co-authored-by: xxyyh <2289112474@qq> Co-authored-by: archer <545436317@qq.com> * fix: ts * fix: loop import * skill tool config (#6114) Co-authored-by: xxyyh <2289112474@qq> * feat: load tool in agent * skill memory (#6126) Co-authored-by: xxyyh <2289112474@qq> * perf: agent skill editor * perf: helperbot ui * agent code * perf: context * fix: request context * agent usage * perf: agent context and pause * perf: plan response * Test agent sigle skill (#6184) * feat:top box fill * prompt fix --------- Co-authored-by: xxyyh <2289112474@qq> * perf: agent chat ui * Test agent new (#6219) * have-replan * agent --------- Co-authored-by: xxyyh <2289112474@qq> * fix: ts --------- Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com> Co-authored-by: xxyyh <2289112474@qq> * feat: consolidate agent and MCP improvements This commit consolidates 17 commits including: - MCP tools enhancements and fixes - Agent system improvements and optimizations - Auth limit and prompt updates - Tool response compression and error tracking - Simple app adaptation - Code quality improvements (TypeScript, ESLint, Zod) - Version type migration to schema - Remove deprecated useRequest2 - Add LLM error tracking - Toolset ID validation fixes --------- Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com> Co-authored-by: xxyyh <2289112474@qq> * 1. 把辅助生成前端上的 system prompt 加入到上下文中 2. mcp工具的前端渲染(图标) 3. 文件读取工具和文件上传进行关联 4. 添加了辅助生成返回格式出错的重试方案 5. ask 不出现在 plan 步骤中 6. 添加了辅助生成的头像和交互 UI * fix:read_file * helperbot ui * ts error * helper ui * delete Unused import * perf: helper bot * lock --------- Co-authored-by: Archer <545436317@qq.com> Co-authored-by: xxyyh <2289112474@qq> * fix date variable required & model auth (#6386) * fix date variable required & model auth * doc * feat: add chat id to finish callback * fix: iphone safari shareId (#6387) * fix: iphone safari shareId * fix: mcp file list can't setting * fix: reason output field * fix: skip JSON validation for HTTP tool body with variable (#6392) * fix: skip JSON validation for HTTP tool body with variable * doc * workflow fitview * perf: selecting memory * perf: cp api * ui * perf: toolcall auto adapt * fix: catch workflow error * fix: ts * perf: pagination type * remove * ignore * update doc * fix: simple app tool select * add default avatar to logs user * perf: loading user * select dataset ui * rename version * feat: add global/common test * perf: packages/global/common test * feat: package/global/ai,app test * add global/chat test * global/core test * global/core test * feat: packages/global all test * perf: test * add server api test * perf: init shell * perf: init4150 shell * remove invalid code * update doc * remove log * fix: chat effect * fix: plan fake tool (#6398) * 1. 提示词防注入功能 2. 无工具不进入 plan,防止虚拟工具生成 * Agent-dataset * dataset * dataset presetInfo * prefix * perf: prompt --------- Co-authored-by: xxyyh <2289112474@qq> Co-authored-by: archer <545436317@qq.com> * fix: review * adapt kimi2.5 think toolcall * feat: invoke fastgpt user info (#6403) feat: invoke fastgpt user info * fix: invoke fastgpt user info return orgs (#6404) * skill and version * retry helperbot (#6405) Co-authored-by: xxyyh <2289112474@qq> * update template * remove log * doc * update doc * doc * perf: internal ip check * adapt get paginationRecords * tool call adapt * fix: test * doc * fix: agent initial version * adapt completions v1 * feat: instrumentation check * rename skill * add workflow demo mode tracks (#6407) * chore: 统一 skills 目录命名为小写 将 .claude/Skills/ 重命名为 .claude/skills/ 以保持命名一致性。 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * add workflow demo mode tracks * code * optimize * fix: improve workflowDemoTrack based on PR review - Add comment to empty catch block for maintainability - Add @param docs to onDemoChange clarifying nodeCount usage - Replace silent .catch with console.debug for dev debugging - Handle appId changes by reporting old data before re-init Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: archer <545436317@qq.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * remove repeat skill * fix(workflow): filter out orphan edges to prevent runtime errors (#6399) * fix(workflow): filter out orphan edges to prevent runtime errors Runtime edges that reference non-existent nodes (orphan edges) can cause unexpected behavior or crashes during workflow dispatch. This change adds a pre-check to filter out such edges before execution begins, ensuring system stability even with inconsistent graph data. * fix(workflow): enhance orphan edge filtering with logging and tests - Refactor: Extract logic to 'filterOrphanEdges' in utils.ts for better reusability - Feat: Add performance monitoring (warn if >100ms) and comprehensive logging - Feat: Support detailed edge inspection in debug mode - Docs: Add JSDoc explaining causes of orphan edges (migration, manual edits) - Test: Add unit tests covering edge cases and performance (1000 edges) Addresses PR review feedback regarding logging, variable naming, and testing." * move code * move code * add more unit test --------- Co-authored-by: archer <545436317@qq.com> * test * perf: test * add server/common/string test * fix: resolve $ref references in MCP tool input schemas (#6395) (#6409) * fix: resolve $ref references in MCP tool input schemas (#6395) * add test code --------- Co-authored-by: archer <545436317@qq.com> * chore(docs): add fastgpt, fastgpt-plugin version choice guide (#6411) * chore(doc): add fastgpt version description * doc * doc --------- Co-authored-by: archer <545436317@qq.com> * fix:dataset cite and description info (#6410) * 1. 添加知识库引用(plan 步骤和直接知识库调用) 2. 提示词框中的@知识库工具 3. plan 中 step 的 description dataset_search 改为中文 * fix: i18n * prompt * prompt --------- Co-authored-by: xxyyh <2289112474@qq> * fix: tool call * perf: workflow props * fix: merge ECharts toolbox options instead of overwriting (#6269) (#6412) * feat: integrate logtape and otel (#6400) * fix: deps * feat(logger): integrate logtape and otel * wip(log): add basic infras logs * wip(log): add request id and inject it into context * wip(log): add basic tx logs * wip(log): migrate * wip(log): category * wip(log): more sub category * fix: type * fix: sessionRun * fix: export getLogger from client.ts * chore: improve logs * docs: update signoz and changelog * change type * fix: ts * remove skill.md * fix: lockfile specifier * fix: test --------- Co-authored-by: archer <545436317@qq.com> * init log * doc * remove invalid log * fix: review * template * replace new log * fix: ts * remove log * chore: migrate all addLog to logtape * move skill * chore: migrate all addLog to logtape (#6417) * update skill * remove log * fix: tool check --------- Co-authored-by: YeYuheng <57035043+YYH211@users.noreply.github.com> Co-authored-by: xxyyh <2289112474@qq> Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: xuyafei1996 <54217479+xuyafei1996@users.noreply.github.com> Co-authored-by: ToukoYui <2331631097@qq.com> Co-authored-by: roy <whoeverimf5@gmail.com>
591 lines
16 KiB
TypeScript
591 lines
16 KiB
TypeScript
import { describe, expect, it } from 'vitest';
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import {
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ChatRoleEnum,
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ChatSourceEnum,
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ChatFileTypeEnum
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} from '@fastgpt/global/core/chat/constants';
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import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
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import { PublishChannelEnum } from '@fastgpt/global/support/outLink/constant';
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import type { ChatItemType, ChatHistoryItemResType } from '@fastgpt/global/core/chat/type';
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import {
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concatHistories,
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getChatTitleFromChatMessage,
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getHistoryPreview,
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filterPublicNodeResponseData,
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removeEmptyUserInput,
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getPluginOutputsFromChatResponses,
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getChatSourceByPublishChannel,
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getFlatAppResponses,
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checkInteractiveResponseStatus,
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mergeChatResponseData,
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removeAIResponseCite
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} from '@fastgpt/global/core/chat/utils';
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import type { AIChatItemValueItemType } from '@fastgpt/global/core/chat/type';
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describe('concatHistories', () => {
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it('should concat two history arrays', () => {
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const histories1: ChatItemType[] = [
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{ obj: ChatRoleEnum.Human, value: [{ text: { content: 'Hello' } }] }
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];
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const histories2: ChatItemType[] = [
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{ obj: ChatRoleEnum.AI, value: [{ text: { content: 'Hi there' } }] }
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];
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const result = concatHistories(histories1, histories2);
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expect(result).toHaveLength(2);
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});
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it('should sort system messages first', () => {
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const histories1: ChatItemType[] = [
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{ obj: ChatRoleEnum.Human, value: [{ text: { content: 'Hello' } }] }
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];
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const histories2: ChatItemType[] = [
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{ obj: ChatRoleEnum.System, value: [{ text: { content: 'System prompt' } }] }
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];
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const result = concatHistories(histories1, histories2);
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expect(result[0].obj).toBe(ChatRoleEnum.System);
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});
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});
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describe('getChatTitleFromChatMessage', () => {
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it('should extract title from text content', () => {
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const message: ChatItemType = {
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obj: ChatRoleEnum.Human,
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value: [{ text: { content: 'This is a long message that should be truncated' } }]
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};
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const result = getChatTitleFromChatMessage(message);
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expect(result).toBe('This is a long messa');
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expect(result.length).toBe(20);
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});
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it('should return default value when message is undefined', () => {
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const result = getChatTitleFromChatMessage(undefined);
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expect(result).toBe('新对话');
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});
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it('should return default value when no text content', () => {
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const message: ChatItemType = {
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obj: ChatRoleEnum.Human,
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value: []
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};
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const result = getChatTitleFromChatMessage(message);
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expect(result).toBe('新对话');
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});
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it('should use custom default value', () => {
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const result = getChatTitleFromChatMessage(undefined, 'Custom Default');
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expect(result).toBe('Custom Default');
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});
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});
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describe('getHistoryPreview', () => {
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it('should return preview of messages', () => {
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const messages: ChatItemType[] = [
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{ obj: ChatRoleEnum.Human, value: [{ text: { content: 'Hello' } }] },
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{ obj: ChatRoleEnum.AI, value: [{ text: { content: 'Hi there' } }] }
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];
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const result = getHistoryPreview(messages);
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expect(result).toHaveLength(2);
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expect(result[0].obj).toBe(ChatRoleEnum.Human);
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expect(result[0].value).toContain('Hello');
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});
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it('should handle system messages', () => {
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const messages: ChatItemType[] = [
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{ obj: ChatRoleEnum.System, value: [{ text: { content: 'System prompt' } }] }
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];
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const result = getHistoryPreview(messages);
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expect(result[0].obj).toBe(ChatRoleEnum.System);
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expect(result[0].value).toContain('System prompt');
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});
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it('should handle empty messages', () => {
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const result = getHistoryPreview([]);
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expect(result).toHaveLength(0);
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});
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});
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describe('filterPublicNodeResponseData', () => {
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it('should filter to only public node types', () => {
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const nodeResponses: ChatHistoryItemResType[] = [
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{
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id: '1',
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nodeId: 'node1',
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moduleName: 'Chat',
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moduleType: FlowNodeTypeEnum.chatNode,
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runningTime: 1
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},
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{
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id: '2',
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nodeId: 'node2',
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moduleName: 'Dataset Search',
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moduleType: FlowNodeTypeEnum.datasetSearchNode,
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runningTime: 0.5
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}
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];
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const result = filterPublicNodeResponseData({ nodeRespones: nodeResponses });
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expect(result).toHaveLength(1);
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expect(result[0].moduleType).toBe(FlowNodeTypeEnum.datasetSearchNode);
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});
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it('should return empty array for undefined input', () => {
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const result = filterPublicNodeResponseData({});
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expect(result).toHaveLength(0);
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});
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it('should include quoteList when responseDetail is true', () => {
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const nodeResponses: ChatHistoryItemResType[] = [
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{
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id: '1',
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nodeId: 'node1',
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moduleName: 'Dataset Search',
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moduleType: FlowNodeTypeEnum.datasetSearchNode,
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runningTime: 0.5,
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quoteList: [
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{
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id: 'q1',
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q: 'test',
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a: 'answer',
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datasetId: 'ds1',
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collectionId: 'col1',
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sourceName: 'source1',
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chunkIndex: 0,
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updateTime: new Date(),
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score: []
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}
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]
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}
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];
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const result = filterPublicNodeResponseData({
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nodeRespones: nodeResponses,
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responseDetail: true
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});
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expect(result[0].quoteList).toBeDefined();
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});
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});
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describe('removeEmptyUserInput', () => {
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it('should keep items with text content', () => {
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const input = [{ text: { content: 'Hello' } }, { text: { content: '' } }];
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const result = removeEmptyUserInput(input);
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expect(result).toHaveLength(1);
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expect(result[0].text?.content).toBe('Hello');
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});
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it('should keep items with file key or url', () => {
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const input = [
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{ file: { type: ChatFileTypeEnum.image, url: 'http://example.com/img.png' } },
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{ file: { type: ChatFileTypeEnum.image, url: '' } }
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];
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const result = removeEmptyUserInput(input);
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expect(result).toHaveLength(1);
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});
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it('should return empty array for undefined input', () => {
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const result = removeEmptyUserInput(undefined);
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expect(result).toHaveLength(0);
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});
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it('should filter whitespace-only text', () => {
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const input = [{ text: { content: ' ' } }];
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const result = removeEmptyUserInput(input);
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expect(result).toHaveLength(0);
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});
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});
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describe('getPluginOutputsFromChatResponses', () => {
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it('should extract plugin outputs', () => {
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const responses: ChatHistoryItemResType[] = [
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{
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id: '1',
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nodeId: 'node1',
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moduleName: 'Plugin Output',
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moduleType: FlowNodeTypeEnum.pluginOutput,
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pluginOutput: { result: 'success' }
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}
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];
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const result = getPluginOutputsFromChatResponses(responses);
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expect(result).toEqual({ result: 'success' });
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});
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it('should return empty object when no plugin output', () => {
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const responses: ChatHistoryItemResType[] = [
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{
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id: '1',
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nodeId: 'node1',
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moduleName: 'Chat',
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moduleType: FlowNodeTypeEnum.chatNode
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}
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];
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const result = getPluginOutputsFromChatResponses(responses);
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expect(result).toEqual({});
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});
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});
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describe('getChatSourceByPublishChannel', () => {
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it('should map share channel to share source', () => {
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expect(getChatSourceByPublishChannel(PublishChannelEnum.share)).toBe(ChatSourceEnum.share);
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});
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it('should map iframe channel to share source', () => {
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expect(getChatSourceByPublishChannel(PublishChannelEnum.iframe)).toBe(ChatSourceEnum.share);
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});
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it('should map apikey channel to api source', () => {
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expect(getChatSourceByPublishChannel(PublishChannelEnum.apikey)).toBe(ChatSourceEnum.api);
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});
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it('should map feishu channel to feishu source', () => {
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expect(getChatSourceByPublishChannel(PublishChannelEnum.feishu)).toBe(ChatSourceEnum.feishu);
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});
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it('should map wecom channel to wecom source', () => {
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expect(getChatSourceByPublishChannel(PublishChannelEnum.wecom)).toBe(ChatSourceEnum.wecom);
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});
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it('should map officialAccount channel to official_account source', () => {
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expect(getChatSourceByPublishChannel(PublishChannelEnum.officialAccount)).toBe(
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ChatSourceEnum.official_account
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);
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});
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it('should default to online source for unknown channels', () => {
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expect(getChatSourceByPublishChannel('unknown' as PublishChannelEnum)).toBe(
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ChatSourceEnum.online
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);
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});
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});
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describe('getFlatAppResponses', () => {
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it('should flatten nested responses', () => {
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const responses: ChatHistoryItemResType[] = [
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{
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id: '1',
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nodeId: 'node1',
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moduleName: 'Parent',
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moduleType: FlowNodeTypeEnum.toolCall,
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pluginDetail: [
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{
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id: '2',
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nodeId: 'node2',
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moduleName: 'Child',
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moduleType: FlowNodeTypeEnum.chatNode
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}
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]
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}
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];
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const result = getFlatAppResponses(responses);
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expect(result).toHaveLength(2);
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});
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it('should handle empty array', () => {
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const result = getFlatAppResponses([]);
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expect(result).toHaveLength(0);
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});
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it('should flatten deeply nested responses', () => {
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const responses: ChatHistoryItemResType[] = [
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{
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id: '1',
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nodeId: 'node1',
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moduleName: 'Level 1',
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moduleType: FlowNodeTypeEnum.toolCall,
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toolDetail: [
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{
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id: '2',
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nodeId: 'node2',
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moduleName: 'Level 2',
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moduleType: FlowNodeTypeEnum.pluginModule,
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loopDetail: [
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{
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id: '3',
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nodeId: 'node3',
|
|
moduleName: 'Level 3',
|
|
moduleType: FlowNodeTypeEnum.chatNode
|
|
}
|
|
]
|
|
}
|
|
]
|
|
}
|
|
];
|
|
|
|
const result = getFlatAppResponses(responses);
|
|
|
|
expect(result).toHaveLength(3);
|
|
});
|
|
});
|
|
|
|
describe('checkInteractiveResponseStatus', () => {
|
|
it('should return query for agentPlanAskQuery type', () => {
|
|
const result = checkInteractiveResponseStatus({
|
|
interactive: { type: 'agentPlanAskQuery' },
|
|
input: 'any input'
|
|
});
|
|
|
|
expect(result).toBe('query');
|
|
});
|
|
|
|
it('should return query for agentPlanAskUserForm with invalid JSON', () => {
|
|
const result = checkInteractiveResponseStatus({
|
|
interactive: { type: 'agentPlanAskUserForm' },
|
|
input: 'not json'
|
|
});
|
|
|
|
expect(result).toBe('query');
|
|
});
|
|
|
|
it('should return submit for agentPlanAskUserForm with valid JSON', () => {
|
|
const result = checkInteractiveResponseStatus({
|
|
interactive: { type: 'agentPlanAskUserForm' },
|
|
input: '{"field": "value"}'
|
|
});
|
|
|
|
expect(result).toBe('submit');
|
|
});
|
|
|
|
it('should return query for agentPlanCheck with non-confirm input', () => {
|
|
const result = checkInteractiveResponseStatus({
|
|
interactive: { type: 'agentPlanCheck' },
|
|
input: 'some other input'
|
|
});
|
|
|
|
expect(result).toBe('query');
|
|
});
|
|
|
|
it('should return submit for agentPlanCheck with confirm input', () => {
|
|
const result = checkInteractiveResponseStatus({
|
|
interactive: { type: 'agentPlanCheck' },
|
|
input: 'CONFIRM'
|
|
});
|
|
|
|
expect(result).toBe('submit');
|
|
});
|
|
});
|
|
|
|
describe('mergeChatResponseData', () => {
|
|
it('should merge items with same mergeSignId', () => {
|
|
const responseDataList: ChatHistoryItemResType[] = [
|
|
{
|
|
id: '1',
|
|
nodeId: 'node1',
|
|
moduleName: 'Tool',
|
|
moduleType: FlowNodeTypeEnum.toolCall,
|
|
mergeSignId: 'merge-1',
|
|
runningTime: 1,
|
|
totalPoints: 10
|
|
},
|
|
{
|
|
id: '2',
|
|
nodeId: 'node1',
|
|
moduleName: 'Tool',
|
|
moduleType: FlowNodeTypeEnum.toolCall,
|
|
mergeSignId: 'merge-1',
|
|
runningTime: 2,
|
|
totalPoints: 20
|
|
}
|
|
];
|
|
|
|
const result = mergeChatResponseData(responseDataList);
|
|
|
|
expect(result).toHaveLength(1);
|
|
expect(result[0].runningTime).toBe(3);
|
|
expect(result[0].totalPoints).toBe(30);
|
|
});
|
|
|
|
it('should not merge items without mergeSignId', () => {
|
|
const responseDataList: ChatHistoryItemResType[] = [
|
|
{
|
|
id: '1',
|
|
nodeId: 'node1',
|
|
moduleName: 'Tool 1',
|
|
moduleType: FlowNodeTypeEnum.toolCall,
|
|
runningTime: 1
|
|
},
|
|
{
|
|
id: '2',
|
|
nodeId: 'node2',
|
|
moduleName: 'Tool 2',
|
|
moduleType: FlowNodeTypeEnum.toolCall,
|
|
runningTime: 2
|
|
}
|
|
];
|
|
|
|
const result = mergeChatResponseData(responseDataList);
|
|
|
|
expect(result).toHaveLength(2);
|
|
});
|
|
|
|
it('should handle empty array', () => {
|
|
const result = mergeChatResponseData([]);
|
|
|
|
expect(result).toHaveLength(0);
|
|
});
|
|
|
|
it('should merge nested details recursively', () => {
|
|
const responseDataList: ChatHistoryItemResType[] = [
|
|
{
|
|
id: '1',
|
|
nodeId: 'node1',
|
|
moduleName: 'Tool',
|
|
moduleType: FlowNodeTypeEnum.toolCall,
|
|
mergeSignId: 'merge-1',
|
|
toolDetail: [
|
|
{
|
|
id: 'detail-1',
|
|
nodeId: 'detail-node',
|
|
moduleName: 'Detail',
|
|
moduleType: FlowNodeTypeEnum.chatNode
|
|
}
|
|
]
|
|
},
|
|
{
|
|
id: '2',
|
|
nodeId: 'node1',
|
|
moduleName: 'Tool',
|
|
moduleType: FlowNodeTypeEnum.toolCall,
|
|
mergeSignId: 'merge-1',
|
|
toolDetail: [
|
|
{
|
|
id: 'detail-2',
|
|
nodeId: 'detail-node-2',
|
|
moduleName: 'Detail 2',
|
|
moduleType: FlowNodeTypeEnum.chatNode
|
|
}
|
|
]
|
|
}
|
|
];
|
|
|
|
const result = mergeChatResponseData(responseDataList);
|
|
|
|
expect(result).toHaveLength(1);
|
|
expect(result[0].toolDetail).toHaveLength(2);
|
|
});
|
|
});
|
|
|
|
describe('removeAIResponseCite', () => {
|
|
it('should return value unchanged when retainCite is true', () => {
|
|
const value: AIChatItemValueItemType[] = [
|
|
{ text: { content: 'Hello [507f1f77bcf86cd799439011](CITE)' } }
|
|
];
|
|
|
|
const result = removeAIResponseCite(value, true);
|
|
|
|
expect(result).toEqual(value);
|
|
});
|
|
|
|
it('should remove cite from string when retainCite is false', () => {
|
|
const text = 'Hello [507f1f77bcf86cd799439011](CITE) world';
|
|
|
|
const result = removeAIResponseCite(text, false);
|
|
|
|
expect(result).toBe('Hello world');
|
|
});
|
|
|
|
it('should remove cite from text content in value array', () => {
|
|
const value: AIChatItemValueItemType[] = [
|
|
{ text: { content: 'Hello [507f1f77bcf86cd799439011](CITE) world' } }
|
|
];
|
|
|
|
const result = removeAIResponseCite(value, false);
|
|
|
|
expect(result[0].text?.content).toBe('Hello world');
|
|
});
|
|
|
|
it('should remove cite from reasoning content in value array', () => {
|
|
const value: AIChatItemValueItemType[] = [
|
|
{ reasoning: { content: 'Thinking [507f1f77bcf86cd799439011](CITE) process' } }
|
|
];
|
|
|
|
const result = removeAIResponseCite(value, false);
|
|
|
|
expect(result[0].reasoning?.content).toBe('Thinking process');
|
|
});
|
|
|
|
it('should handle value items without text or reasoning', () => {
|
|
const value: AIChatItemValueItemType[] = [
|
|
{
|
|
tool: {
|
|
id: 'tool1',
|
|
toolName: 'Test Tool',
|
|
toolAvatar: '',
|
|
params: '{}',
|
|
response: 'response',
|
|
functionName: 'test'
|
|
}
|
|
}
|
|
];
|
|
|
|
const result = removeAIResponseCite(value, false);
|
|
|
|
expect(result[0].tool).toBeDefined();
|
|
});
|
|
|
|
it('should remove multiple cites from content', () => {
|
|
const text =
|
|
'First [507f1f77bcf86cd799439011](CITE) and second [607f1f77bcf86cd799439012](CITE)';
|
|
|
|
const result = removeAIResponseCite(text, false);
|
|
|
|
expect(result).toBe('First and second ');
|
|
});
|
|
|
|
it('should handle empty string', () => {
|
|
const result = removeAIResponseCite('', false);
|
|
|
|
expect(result).toBe('');
|
|
});
|
|
|
|
it('should handle empty value array', () => {
|
|
const result = removeAIResponseCite([], false);
|
|
|
|
expect(result).toEqual([]);
|
|
});
|
|
|
|
it('should preserve other properties in value items', () => {
|
|
const value: AIChatItemValueItemType[] = [
|
|
{
|
|
id: 'item1',
|
|
text: { content: 'Hello [507f1f77bcf86cd799439011](CITE)' }
|
|
}
|
|
];
|
|
|
|
const result = removeAIResponseCite(value, false);
|
|
|
|
expect(result[0].id).toBe('item1');
|
|
expect(result[0].text?.content).toBe('Hello ');
|
|
});
|
|
});
|