FastGPT/test/cases/service/core/ai/parseStreamResponse.test.ts
Archer 2ed1545eb5
V4.12.4 features (#5626)
* fix: push again, user select option button and form input radio content overflow (#5601)

* fix: push again, user select option button and form input radio content overflow

* fix: use useCallback instead of useMemo, fix unnecessary delete

* fix: Move the variable inside the component

* fix: do not pass valueLabel to MySelect

* ui

* del collection api adapt

* refactor: inherit permission (#5529)

* refactor: permission update conflict check function

* refactor(permission): app collaborator update api

* refactor(permission): support app update collaborator

* feat: support fe permission conflict check

* refactor(permission): app permission

* refactor(permission): dataset permission

* refactor(permission): team permission

* chore: fe adjust

* fix: type error

* fix: audit pagiation

* fix: tc

* chore: initv4130

* fix: app/dataset auth logic

* chore: move code

* refactor(permission): remove selfPermission

* fix: mock

* fix: test

* fix: app & dataset auth

* fix: inherit

* test(inheritPermission): test syncChildrenPermission

* prompt editor add list plugin (#5620)

* perf: search result (#5608)

* fix: table size (#5598)

* temp: list value

* backspace

* optimize code

---------

Co-authored-by: Archer <545436317@qq.com>
Co-authored-by: 伍闲犬 <whoeverimf5@gmail.com>

* fix: fe & member list (#5619)

* chore: initv4130

* fix: MemberItemCard

* fix: MemberItemCard

* chore: fe adjust & init script

* perf: test code

* doc

* fix debug variables (#5617)

* perf: search result (#5608)

* fix: table size (#5598)

* fix debug variables

* fix

---------

Co-authored-by: Archer <545436317@qq.com>
Co-authored-by: 伍闲犬 <whoeverimf5@gmail.com>

* perf: member ui

* fix: inherit bug (#5624)

* refactor(permission): remove getClbsWithInfo, which is useless

* fix: app list privateApp

* fix: get infos

* perf(fe): remove delete icon when it is disable in MemberItemCard

* fix: dataset private dataset

* Apply suggestion from @Copilot

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Apply suggestion from @Copilot

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Archer <545436317@qq.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* perf: auto coupon

* chore: upgrade script & get infos avatar  (#5625)

* fix: get infos

* chore: initv4130

* feat: support WecomRobot publish, and fix AesKey can not save bug (#5526)

* feat: resolve conflicts

* fix: add param 'show_publish_wecom'

* feat: abstract out WecomCrypto type

* doc: wecom robot document

* fix: solve instability in AI output

* doc: update some pictures

* feat: remove functions from request.ts to chat.ts and toolCall.ts

* doc: wecom robot doc update

* fix

* delete unused code

* doc: update version and prompt

* feat: remove wecom crypto, delete wecom code in workflow

* feat: delete unused codes

---------

Co-authored-by: heheer <zhiyu44@qq.com>

* remove test

* rename init shell

* feat: collection page store

* reload sandbox

* pysandbox

* remove log

* chore: remove useless code (#5629)

* chore: remove useless code

* fix: checkConflict

* perf: support hidden type for RoleList

* fix: copy node

* update doc

* fix(permission): some bug (#5632)

* fix: app/dataset list

* fix: inherit bug

* perf: del app;i18n;save chat

* fix: test

* i18n

* fix: sumper overflow return OwnerRoleVal (#5633)

* remove invalid code

* fix: scroll

* fix: objectId

* update next

* update package

* object id

* mock redis

* feat: add redis append to resolve wecom stream response  (#5643)

* feat: resolve conflicts

* fix: add param 'show_publish_wecom'

* feat: abstract out WecomCrypto type

* doc: wecom robot document

* fix: solve instability in AI output

* doc: update some pictures

* feat: remove functions from request.ts to chat.ts and toolCall.ts

* doc: wecom robot doc update

* fix

* delete unused code

* doc: update version and prompt

* feat: remove wecom crypto, delete wecom code in workflow

* feat: delete unused codes

* feat: add redis append method

---------

Co-authored-by: heheer <zhiyu44@qq.com>

* cache per

* fix(test): init team sub when creating mocked user (#5646)

* fix: button is not vertically centered (#5647)

* doc

* fix: gridFs objectId (#5649)

---------

Co-authored-by: Zeng Qingwen <143274079+fishwww-ww@users.noreply.github.com>
Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: 伍闲犬 <whoeverimf5@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: heheer <zhiyu44@qq.com>
2025-09-15 20:02:54 +08:00

441 lines
13 KiB
TypeScript

import type { CompletionFinishReason } from '@fastgpt/global/core/ai/type';
import { parseLLMStreamResponse } from '@fastgpt/service/core/ai/utils';
import { describe, expect, it } from 'vitest';
describe('Parse reasoning stream content test', async () => {
const partList = [
{
data: [{ content: '你好1' }, { content: '你好2' }, { content: '你好3' }],
correct: { answer: '你好1你好2你好3', reasoning: '' }
},
{
data: [
{ reasoning_content: '这是' },
{ reasoning_content: '思考' },
{ reasoning_content: '过程' },
{ content: '你好1' },
{ content: '你好2' },
{ content: '你好3' }
],
correct: { answer: '你好1你好2你好3', reasoning: '这是思考过程' }
},
{
data: [
{ content: '<t' },
{ content: 'hink>' },
{ content: '这是' },
{ content: '思考' },
{ content: '过程' },
{ content: '</think>' },
{ content: '你好1' },
{ content: '你好2' },
{ content: '你好3' }
],
correct: { answer: '你好1你好2你好3', reasoning: '这是思考过程' }
},
{
data: [
{ content: '<think>' },
{ content: '这是' },
{ content: '思考' },
{ content: '过程' },
{ content: '</think>' },
{ content: '你好1' },
{ content: '你好2' },
{ content: '你好3' }
],
correct: { answer: '你好1你好2你好3', reasoning: '这是思考过程' }
},
{
data: [
{ content: '<think>这是' },
{ content: '思考' },
{ content: '过程' },
{ content: '</think>' },
{ content: '你好1' },
{ content: '你好2' },
{ content: '你好3' }
],
correct: { answer: '你好1你好2你好3', reasoning: '这是思考过程' }
},
{
data: [
{ content: '<think>这是' },
{ content: '思考' },
{ content: '过程</' },
{ content: 'think>' },
{ content: '你好1' },
{ content: '你好2' },
{ content: '你好3' }
],
correct: { answer: '你好1你好2你好3', reasoning: '这是思考过程' }
},
{
data: [
{ content: '<think>这是' },
{ content: '思考' },
{ content: '过程</think>' },
{ content: '你好1' },
{ content: '你好2' },
{ content: '你好3' }
],
correct: { answer: '你好1你好2你好3', reasoning: '这是思考过程' }
},
{
data: [
{ content: '<think>这是' },
{ content: '思考' },
{ content: '过程</think>你好1' },
{ content: '你好2' },
{ content: '你好3' }
],
correct: { answer: '你好1你好2你好3', reasoning: '这是思考过程' }
},
{
data: [
{ content: '<think>这是' },
{ content: '思考' },
{ content: '过程</th' },
{ content: '假的' },
{ content: '你好2' },
{ content: '你好3' },
{ content: '过程</think>你好1' },
{ content: '你好2' },
{ content: '你好3' }
],
correct: { answer: '你好1你好2你好3', reasoning: '这是思考过程</th假的你好2你好3过程' }
},
{
data: [
{ content: '<think>这是' },
{ content: '思考' },
{ content: '过程</th' },
{ content: '假的' },
{ content: '你好2' },
{ content: '你好3' }
],
correct: { answer: '', reasoning: '这是思考过程</th假的你好2你好3' }
}
];
// Remove think
partList.forEach((part, index) => {
it(`Reasoning test:${index}`, () => {
const { parsePart } = parseLLMStreamResponse();
let answer = '';
let reasoning = '';
part.data.forEach((item) => {
const formatPart = {
choices: [
{
delta: {
role: 'assistant',
content: item.content,
reasoning_content: item.reasoning_content
}
}
]
};
const { reasoningContent, content } = parsePart({
part: formatPart,
parseThinkTag: true,
retainDatasetCite: false
});
answer += content;
reasoning += reasoningContent;
});
expect(answer).toBe(part.correct.answer);
expect(reasoning).toBe(part.correct.reasoning);
});
});
});
describe('Parse dataset cite content test', async () => {
const partList = [
{
// 完整的
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CITE)' }
],
correct: {
content: '知识库问答系统[67e517e74767063e882d6861](CITE)',
responseContent: '知识库问答系统'
}
},
{
// 只要 objectId
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861]' }
],
correct: {
content: '知识库问答系统[67e517e74767063e882d6861]',
responseContent: '知识库问答系统'
}
},
{
// 满足替换条件的
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](' }
],
correct: {
content: '知识库问答系统[67e517e74767063e882d6861](',
responseContent: '知识库问答系统'
}
},
{
// 满足替换条件的
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](C' }
],
correct: {
content: '知识库问答系统[67e517e74767063e882d6861](C',
responseContent: '知识库问答系统'
}
},
{
// 满足替换条件的
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CI' }
],
correct: {
content: '知识库问答系统[67e517e74767063e882d6861](CI',
responseContent: '知识库问答系统'
}
},
{
// 满足替换条件的
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CIT' }
],
correct: {
content: '知识库问答系统[67e517e74767063e882d6861](CIT',
responseContent: '知识库问答系统'
}
},
{
// 满足替换条件的
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CITE' }
],
correct: {
content: '知识库问答系统[67e517e74767063e882d6861](CITE',
responseContent: '知识库问答系统'
}
},
{
// 缺失结尾
data: [
{ content: '知识库问答系统' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CITE' }
],
correct: {
content: '知识库问答系统[67e517e74767063e882d6861](CITE',
responseContent: '知识库问答系统'
}
},
{
// ObjectId 不正确
data: [
{ content: '知识库问答系统' },
{ content: '[67e517e747' },
{ content: '67882d' },
{ content: '6861](CITE)' }
],
correct: {
content: '知识库问答系统[67e517e74767882d6861](CITE)',
responseContent: '知识库问答系统[67e517e74767882d6861](CITE)'
}
},
{
// 其他链接
data: [{ content: '知识库' }, { content: '问答系统' }, { content: '[](https://fastgpt.cn)' }],
correct: {
content: '知识库问答系统[](https://fastgpt.cn)',
responseContent: '知识库问答系统[](https://fastgpt.cn)'
}
},
{
// 不完整的其他链接
data: [{ content: '知识库' }, { content: '问答系统' }, { content: '[](https://fastgp' }],
correct: {
content: '知识库问答系统[](https://fastgp',
responseContent: '知识库问答系统[](https://fastgp'
}
},
{
// 开头
data: [{ content: '[知识库' }, { content: '问答系统' }, { content: '[](https://fastgp' }],
correct: {
content: '[知识库问答系统[](https://fastgp',
responseContent: '[知识库问答系统[](https://fastgp'
}
},
{
// 结尾
data: [{ content: '知识库' }, { content: '问答系统' }, { content: '[' }],
correct: {
content: '知识库问答系统[',
responseContent: '知识库问答系统['
}
},
{
// 中间
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[' },
{ content: '问答系统]' }
],
correct: {
content: '知识库问答系统[问答系统]',
responseContent: '知识库问答系统[问答系统]'
}
},
{
// 双链接
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[](https://fastgpt.cn)' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CITE)' }
],
correct: {
content: '知识库问答系统[](https://fastgpt.cn)[67e517e74767063e882d6861](CITE)',
responseContent: '知识库问答系统[](https://fastgpt.cn)'
}
},
{
// 双链接缺失部分
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[](https://fastgpt.cn)' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CIT' }
],
correct: {
content: '知识库问答系统[](https://fastgpt.cn)[67e517e74767063e882d6861](CIT',
responseContent: '知识库问答系统[](https://fastgpt.cn)'
}
},
{
// 双Cite
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CITE)' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CITE)' }
],
correct: {
content: '知识库问答系统[67e517e74767063e882d6861](CITE)[67e517e74767063e882d6861](CITE)',
responseContent: '知识库问答系统'
}
},
{
// 双Cite-第一个假Cite
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[67e517e747' },
{ content: '6861](CITE)' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CITE)' }
],
correct: {
content: '知识库问答系统[67e517e7476861](CITE)[67e517e74767063e882d6861](CITE)',
responseContent: '知识库问答系统[67e517e7476861](CITE)'
}
},
{
// [id](CITE)
data: [
{ content: '知识库' },
{ content: '问答系统' },
{ content: '[i' },
{ content: 'd](CITE)' },
{ content: '[67e517e747' },
{ content: '67063e882d' },
{ content: '6861](CITE)' }
],
correct: {
content: '知识库问答系统[id](CITE)[67e517e74767063e882d6861](CITE)',
responseContent: '知识库问答系统'
}
}
];
partList.forEach((part, index) => {
it(`Dataset cite test: ${index}`, () => {
const { parsePart } = parseLLMStreamResponse();
let answer = '';
let responseContent = '';
part.data.forEach((item, index) => {
const formatPart = {
choices: [
{
delta: {
role: 'assistant',
content: item.content,
reasoning_content: ''
},
finish_reason: (index === part.data.length - 1
? 'stop'
: null) as CompletionFinishReason
}
]
};
const { content, responseContent: newResponseContent } = parsePart({
part: formatPart,
parseThinkTag: false,
retainDatasetCite: false
});
answer += content;
responseContent += newResponseContent;
});
expect(answer).toEqual(part.correct.content);
expect(responseContent).toEqual(part.correct.responseContent);
});
});
});