FastGPT/test/cases/global/core/chat/utils.test.ts

262 lines
7.1 KiB
TypeScript

import { describe, expect, it } from 'vitest';
import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/constants';
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
import type { ChatItemType } from '@fastgpt/global/core/chat/type';
import {
transformPreviewHistories,
addStatisticalDataToHistoryItem,
getFlatAppResponses
} from '@/global/core/chat/utils';
const mockResponseData = {
id: '1',
nodeId: '1',
moduleName: 'test',
moduleType: FlowNodeTypeEnum.chatNode
};
describe('getFlatAppResponses', () => {
it('should return empty array for empty input', () => {
expect(getFlatAppResponses([])).toEqual([]);
});
it('should handle single level responses', () => {
const responses = [
{ ...mockResponseData, moduleType: FlowNodeTypeEnum.chatNode },
{ ...mockResponseData, moduleType: FlowNodeTypeEnum.tools }
];
expect(getFlatAppResponses(responses)).toEqual(responses);
});
it('should handle nested pluginDetail', () => {
const responses = [
{
...mockResponseData,
pluginDetail: [{ ...mockResponseData, moduleType: FlowNodeTypeEnum.tools }]
}
];
expect(getFlatAppResponses(responses)).toHaveLength(2);
});
it('should handle nested toolDetail', () => {
const responses = [
{
...mockResponseData,
toolDetail: [{ ...mockResponseData, moduleType: FlowNodeTypeEnum.chatNode }]
}
];
expect(getFlatAppResponses(responses)).toHaveLength(2);
});
it('should handle nested loopDetail', () => {
const responses = [
{
...mockResponseData,
loopDetail: [{ ...mockResponseData, moduleType: FlowNodeTypeEnum.datasetSearchNode }]
}
];
expect(getFlatAppResponses(responses)).toHaveLength(2);
});
it('should handle multiple levels of nesting', () => {
const responses = [
{
...mockResponseData,
pluginDetail: [
{
...mockResponseData,
toolDetail: [
{
...mockResponseData,
loopDetail: [{ ...mockResponseData }]
}
]
}
]
}
];
expect(getFlatAppResponses(responses)).toHaveLength(4);
});
});
describe('transformPreviewHistories', () => {
it('should transform histories correctly with responseDetail=true', () => {
const histories: ChatItemType[] = [
{
obj: ChatRoleEnum.AI,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }],
responseData: [
{
...mockResponseData,
runningTime: 1.5
}
]
}
];
const result = transformPreviewHistories(histories, true);
expect(result[0]).toEqual({
obj: ChatRoleEnum.AI,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }],
responseData: undefined,
llmModuleAccount: 1,
totalQuoteList: [],
historyPreviewLength: undefined
});
});
it('should transform histories correctly with responseDetail=false', () => {
const histories: ChatItemType[] = [
{
obj: ChatRoleEnum.AI,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }],
responseData: [
{
...mockResponseData,
runningTime: 1.5
}
]
}
];
const result = transformPreviewHistories(histories, false);
expect(result[0]).toEqual({
obj: ChatRoleEnum.AI,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }],
responseData: undefined,
llmModuleAccount: 1,
totalQuoteList: undefined,
historyPreviewLength: undefined
});
});
});
describe('addStatisticalDataToHistoryItem', () => {
it('should return original item if obj is not AI', () => {
const item: ChatItemType = {
obj: ChatRoleEnum.Human,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }]
};
expect(addStatisticalDataToHistoryItem(item)).toBe(item);
});
it('should return original item if totalQuoteList is already defined', () => {
const item: ChatItemType = {
obj: ChatRoleEnum.AI,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }],
totalQuoteList: []
};
expect(addStatisticalDataToHistoryItem(item)).toBe(item);
});
it('should return original item if responseData is undefined', () => {
const item: ChatItemType = {
obj: ChatRoleEnum.AI,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }]
};
expect(addStatisticalDataToHistoryItem(item)).toBe(item);
});
it('should calculate statistics correctly', () => {
const item: ChatItemType = {
obj: ChatRoleEnum.AI,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }],
responseData: [
{
...mockResponseData,
moduleType: FlowNodeTypeEnum.chatNode,
runningTime: 1.5,
historyPreview: [{ obj: ChatRoleEnum.AI, value: 'preview1' }]
},
{
...mockResponseData,
moduleType: FlowNodeTypeEnum.datasetSearchNode,
quoteList: [{ id: '1', q: 'test', a: 'answer' }],
runningTime: 0.5
},
{
...mockResponseData,
moduleType: FlowNodeTypeEnum.tools,
runningTime: 1,
toolDetail: [
{
moduleType: FlowNodeTypeEnum.chatNode,
runningTime: 0.5
}
]
}
]
};
const result = addStatisticalDataToHistoryItem(item);
expect(result).toEqual({
...item,
llmModuleAccount: 3,
totalQuoteList: [{ id: '1', q: 'test', a: 'answer' }],
historyPreviewLength: 1
});
});
it('should handle empty arrays and undefined values', () => {
const item: ChatItemType = {
obj: ChatRoleEnum.AI,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }],
responseData: [
{
...mockResponseData,
runningTime: 0
}
]
};
const result = addStatisticalDataToHistoryItem(item);
expect(result).toEqual({
...item,
llmModuleAccount: 1,
totalQuoteList: [],
historyPreviewLength: undefined
});
});
it('should handle nested plugin and loop details', () => {
const item: ChatItemType = {
obj: ChatRoleEnum.AI,
value: [{ type: ChatItemValueTypeEnum.text, text: { content: 'test response' } }],
responseData: [
{
...mockResponseData,
runningTime: 1,
pluginDetail: [
{
moduleType: FlowNodeTypeEnum.chatNode,
runningTime: 0.5
}
],
loopDetail: [
{
moduleType: FlowNodeTypeEnum.tools,
runningTime: 0.3
}
]
}
]
};
const result = addStatisticalDataToHistoryItem(item);
expect(result).toEqual({
...item,
llmModuleAccount: 3,
totalQuoteList: [],
historyPreviewLength: undefined
});
});
});