Files
FastGPT/test/cases/global/core/chat/chatUtils.test.ts
T
Archer 76d6234de6 V4.14.7 features (#6406)
* 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

* rebase fdf933d
 and 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

* rebase fdf933d
 and 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>
2026-02-12 16:37:50 +08:00

591 lines
16 KiB
TypeScript

import { describe, expect, it } from 'vitest';
import {
ChatRoleEnum,
ChatSourceEnum,
ChatFileTypeEnum
} from '@fastgpt/global/core/chat/constants';
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
import { PublishChannelEnum } from '@fastgpt/global/support/outLink/constant';
import type { ChatItemType, ChatHistoryItemResType } from '@fastgpt/global/core/chat/type';
import {
concatHistories,
getChatTitleFromChatMessage,
getHistoryPreview,
filterPublicNodeResponseData,
removeEmptyUserInput,
getPluginOutputsFromChatResponses,
getChatSourceByPublishChannel,
getFlatAppResponses,
checkInteractiveResponseStatus,
mergeChatResponseData,
removeAIResponseCite
} from '@fastgpt/global/core/chat/utils';
import type { AIChatItemValueItemType } from '@fastgpt/global/core/chat/type';
describe('concatHistories', () => {
it('should concat two history arrays', () => {
const histories1: ChatItemType[] = [
{ obj: ChatRoleEnum.Human, value: [{ text: { content: 'Hello' } }] }
];
const histories2: ChatItemType[] = [
{ obj: ChatRoleEnum.AI, value: [{ text: { content: 'Hi there' } }] }
];
const result = concatHistories(histories1, histories2);
expect(result).toHaveLength(2);
});
it('should sort system messages first', () => {
const histories1: ChatItemType[] = [
{ obj: ChatRoleEnum.Human, value: [{ text: { content: 'Hello' } }] }
];
const histories2: ChatItemType[] = [
{ obj: ChatRoleEnum.System, value: [{ text: { content: 'System prompt' } }] }
];
const result = concatHistories(histories1, histories2);
expect(result[0].obj).toBe(ChatRoleEnum.System);
});
});
describe('getChatTitleFromChatMessage', () => {
it('should extract title from text content', () => {
const message: ChatItemType = {
obj: ChatRoleEnum.Human,
value: [{ text: { content: 'This is a long message that should be truncated' } }]
};
const result = getChatTitleFromChatMessage(message);
expect(result).toBe('This is a long messa');
expect(result.length).toBe(20);
});
it('should return default value when message is undefined', () => {
const result = getChatTitleFromChatMessage(undefined);
expect(result).toBe('新对话');
});
it('should return default value when no text content', () => {
const message: ChatItemType = {
obj: ChatRoleEnum.Human,
value: []
};
const result = getChatTitleFromChatMessage(message);
expect(result).toBe('新对话');
});
it('should use custom default value', () => {
const result = getChatTitleFromChatMessage(undefined, 'Custom Default');
expect(result).toBe('Custom Default');
});
});
describe('getHistoryPreview', () => {
it('should return preview of messages', () => {
const messages: ChatItemType[] = [
{ obj: ChatRoleEnum.Human, value: [{ text: { content: 'Hello' } }] },
{ obj: ChatRoleEnum.AI, value: [{ text: { content: 'Hi there' } }] }
];
const result = getHistoryPreview(messages);
expect(result).toHaveLength(2);
expect(result[0].obj).toBe(ChatRoleEnum.Human);
expect(result[0].value).toContain('Hello');
});
it('should handle system messages', () => {
const messages: ChatItemType[] = [
{ obj: ChatRoleEnum.System, value: [{ text: { content: 'System prompt' } }] }
];
const result = getHistoryPreview(messages);
expect(result[0].obj).toBe(ChatRoleEnum.System);
expect(result[0].value).toContain('System prompt');
});
it('should handle empty messages', () => {
const result = getHistoryPreview([]);
expect(result).toHaveLength(0);
});
});
describe('filterPublicNodeResponseData', () => {
it('should filter to only public node types', () => {
const nodeResponses: ChatHistoryItemResType[] = [
{
id: '1',
nodeId: 'node1',
moduleName: 'Chat',
moduleType: FlowNodeTypeEnum.chatNode,
runningTime: 1
},
{
id: '2',
nodeId: 'node2',
moduleName: 'Dataset Search',
moduleType: FlowNodeTypeEnum.datasetSearchNode,
runningTime: 0.5
}
];
const result = filterPublicNodeResponseData({ nodeRespones: nodeResponses });
expect(result).toHaveLength(1);
expect(result[0].moduleType).toBe(FlowNodeTypeEnum.datasetSearchNode);
});
it('should return empty array for undefined input', () => {
const result = filterPublicNodeResponseData({});
expect(result).toHaveLength(0);
});
it('should include quoteList when responseDetail is true', () => {
const nodeResponses: ChatHistoryItemResType[] = [
{
id: '1',
nodeId: 'node1',
moduleName: 'Dataset Search',
moduleType: FlowNodeTypeEnum.datasetSearchNode,
runningTime: 0.5,
quoteList: [
{
id: 'q1',
q: 'test',
a: 'answer',
datasetId: 'ds1',
collectionId: 'col1',
sourceName: 'source1',
chunkIndex: 0,
updateTime: new Date(),
score: []
}
]
}
];
const result = filterPublicNodeResponseData({
nodeRespones: nodeResponses,
responseDetail: true
});
expect(result[0].quoteList).toBeDefined();
});
});
describe('removeEmptyUserInput', () => {
it('should keep items with text content', () => {
const input = [{ text: { content: 'Hello' } }, { text: { content: '' } }];
const result = removeEmptyUserInput(input);
expect(result).toHaveLength(1);
expect(result[0].text?.content).toBe('Hello');
});
it('should keep items with file key or url', () => {
const input = [
{ file: { type: ChatFileTypeEnum.image, url: 'http://example.com/img.png' } },
{ file: { type: ChatFileTypeEnum.image, url: '' } }
];
const result = removeEmptyUserInput(input);
expect(result).toHaveLength(1);
});
it('should return empty array for undefined input', () => {
const result = removeEmptyUserInput(undefined);
expect(result).toHaveLength(0);
});
it('should filter whitespace-only text', () => {
const input = [{ text: { content: ' ' } }];
const result = removeEmptyUserInput(input);
expect(result).toHaveLength(0);
});
});
describe('getPluginOutputsFromChatResponses', () => {
it('should extract plugin outputs', () => {
const responses: ChatHistoryItemResType[] = [
{
id: '1',
nodeId: 'node1',
moduleName: 'Plugin Output',
moduleType: FlowNodeTypeEnum.pluginOutput,
pluginOutput: { result: 'success' }
}
];
const result = getPluginOutputsFromChatResponses(responses);
expect(result).toEqual({ result: 'success' });
});
it('should return empty object when no plugin output', () => {
const responses: ChatHistoryItemResType[] = [
{
id: '1',
nodeId: 'node1',
moduleName: 'Chat',
moduleType: FlowNodeTypeEnum.chatNode
}
];
const result = getPluginOutputsFromChatResponses(responses);
expect(result).toEqual({});
});
});
describe('getChatSourceByPublishChannel', () => {
it('should map share channel to share source', () => {
expect(getChatSourceByPublishChannel(PublishChannelEnum.share)).toBe(ChatSourceEnum.share);
});
it('should map iframe channel to share source', () => {
expect(getChatSourceByPublishChannel(PublishChannelEnum.iframe)).toBe(ChatSourceEnum.share);
});
it('should map apikey channel to api source', () => {
expect(getChatSourceByPublishChannel(PublishChannelEnum.apikey)).toBe(ChatSourceEnum.api);
});
it('should map feishu channel to feishu source', () => {
expect(getChatSourceByPublishChannel(PublishChannelEnum.feishu)).toBe(ChatSourceEnum.feishu);
});
it('should map wecom channel to wecom source', () => {
expect(getChatSourceByPublishChannel(PublishChannelEnum.wecom)).toBe(ChatSourceEnum.wecom);
});
it('should map officialAccount channel to official_account source', () => {
expect(getChatSourceByPublishChannel(PublishChannelEnum.officialAccount)).toBe(
ChatSourceEnum.official_account
);
});
it('should default to online source for unknown channels', () => {
expect(getChatSourceByPublishChannel('unknown' as PublishChannelEnum)).toBe(
ChatSourceEnum.online
);
});
});
describe('getFlatAppResponses', () => {
it('should flatten nested responses', () => {
const responses: ChatHistoryItemResType[] = [
{
id: '1',
nodeId: 'node1',
moduleName: 'Parent',
moduleType: FlowNodeTypeEnum.toolCall,
pluginDetail: [
{
id: '2',
nodeId: 'node2',
moduleName: 'Child',
moduleType: FlowNodeTypeEnum.chatNode
}
]
}
];
const result = getFlatAppResponses(responses);
expect(result).toHaveLength(2);
});
it('should handle empty array', () => {
const result = getFlatAppResponses([]);
expect(result).toHaveLength(0);
});
it('should flatten deeply nested responses', () => {
const responses: ChatHistoryItemResType[] = [
{
id: '1',
nodeId: 'node1',
moduleName: 'Level 1',
moduleType: FlowNodeTypeEnum.toolCall,
toolDetail: [
{
id: '2',
nodeId: 'node2',
moduleName: 'Level 2',
moduleType: FlowNodeTypeEnum.pluginModule,
loopDetail: [
{
id: '3',
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 ');
});
});