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289da0f7b0
* sandbox-sync-agent * refactor: host pro as submodule * chore: checkpoint host pro restructure * refactor workspace test layout and startup init * chore: update next turbopack setup * chore: snapshot current work before actions fix * chore: update pro submodule * chore: point pro submodule url to upstream https * fix: Dockerfile * chore: update pro submodule * ci: support private pro submodule token and skip fork jobs * fix(ci): build sdk workspace deps before code-sandbox bundle * fix(app): exclude vitest configs from production typecheck * fix(app-image): build sdk packages before next build * fix(ci): align dockerfiles with workspace sdk build flow * chore(docker): upgrade node20 docker images to node24 * fix(ci): read admin coverage output path in pro test workflow * fix(app-image): include next-i18next config and locale assets * chore: update pro submodule * chore: do not specify branch for submodule * chore: remove most ts-nocheck sign * chore: update pro submodule * chore: remove sandbox-agent-sync package * chore: do not modify "pushData" file logic * fix: health check * chore: restore dev axios proxy state * fix: test-fastgpt report workflow * fix: use valid vitest coverage action inputs
177 lines
5.2 KiB
TypeScript
177 lines
5.2 KiB
TypeScript
import { describe, expect, it, vi } from 'vitest';
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import { getDefaultAppForm, getAppType, formatToolError } from '@fastgpt/global/core/app/utils';
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import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
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import { DatasetSearchModeEnum } from '@fastgpt/global/core/dataset/constants';
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describe('getDefaultAppForm', () => {
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it('should return default app form with correct structure', () => {
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const result = getDefaultAppForm();
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expect(result).toHaveProperty('aiSettings');
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expect(result).toHaveProperty('dataset');
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expect(result).toHaveProperty('selectedTools');
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expect(result).toHaveProperty('chatConfig');
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});
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it('should return correct aiSettings defaults', () => {
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const result = getDefaultAppForm();
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expect(result.aiSettings).toEqual({
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model: '',
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isResponseAnswerText: true,
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maxHistories: 6
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});
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});
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it('should return correct dataset defaults', () => {
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const result = getDefaultAppForm();
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expect(result.dataset).toEqual({
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datasets: [],
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similarity: 0.4,
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limit: 3000,
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searchMode: DatasetSearchModeEnum.embedding,
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usingReRank: true,
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rerankModel: '',
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rerankWeight: 0.5,
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datasetSearchUsingExtensionQuery: true,
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datasetSearchExtensionBg: ''
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});
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});
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it('should return empty selectedTools array', () => {
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const result = getDefaultAppForm();
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expect(result.selectedTools).toEqual([]);
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});
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it('should return empty chatConfig object', () => {
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const result = getDefaultAppForm();
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expect(result.chatConfig).toEqual({});
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});
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});
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describe('getAppType', () => {
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it('should return empty string when config is undefined', () => {
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const result = getAppType(undefined);
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expect(result).toBe('');
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});
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it('should return simple type when config has aiSettings', () => {
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const config = {
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aiSettings: {
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model: 'gpt-4',
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isResponseAnswerText: true,
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maxHistories: 6
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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: 3000,
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searchMode: DatasetSearchModeEnum.embedding,
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usingReRank: true,
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rerankModel: '',
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rerankWeight: 0.5,
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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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const result = getAppType(config);
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expect(result).toBe(AppTypeEnum.simple);
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});
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it('should return empty string when config has no nodes and no aiSettings', () => {
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const config = {} as any;
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const result = getAppType(config);
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expect(result).toBe('');
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});
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it('should return workflow type when nodes contain workflowStart', () => {
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const config = {
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nodes: [
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{ flowNodeType: 'workflowStart', nodeId: '1' },
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{ flowNodeType: 'aiChat', nodeId: '2' }
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],
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edges: []
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};
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const result = getAppType(config as any);
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expect(result).toBe(AppTypeEnum.workflow);
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});
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it('should return workflowTool type when nodes contain pluginInput', () => {
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const config = {
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nodes: [
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{ flowNodeType: 'pluginInput', nodeId: '1' },
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{ flowNodeType: 'pluginOutput', nodeId: '2' }
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],
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edges: []
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};
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const result = getAppType(config as any);
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expect(result).toBe(AppTypeEnum.workflowTool);
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});
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it('should return empty string when nodes exist but no workflowStart or pluginInput', () => {
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const config = {
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nodes: [
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{ flowNodeType: 'aiChat', nodeId: '1' },
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{ flowNodeType: 'textOutput', nodeId: '2' }
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],
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edges: []
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};
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const result = getAppType(config as any);
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expect(result).toBe('');
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});
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it('should prioritize workflow type over workflowTool when both exist', () => {
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const config = {
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nodes: [
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{ flowNodeType: 'workflowStart', nodeId: '1' },
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{ flowNodeType: 'pluginInput', nodeId: '2' }
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],
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edges: []
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};
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const result = getAppType(config as any);
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expect(result).toBe(AppTypeEnum.workflow);
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});
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});
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describe('formatToolError', () => {
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it('should return undefined when error is undefined', () => {
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const result = formatToolError(undefined);
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expect(result).toBeUndefined();
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});
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it('should return undefined when error is null', () => {
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const result = formatToolError(null);
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expect(result).toBeUndefined();
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});
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it('should return undefined when error is not a string', () => {
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const result = formatToolError({ message: 'error' });
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expect(result).toBeUndefined();
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});
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it('should return undefined when error is a number', () => {
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const result = formatToolError(123);
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expect(result).toBeUndefined();
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});
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it('should return the original error string when not found in error lists', () => {
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const result = formatToolError('unknownError');
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expect(result).toBe('unknownError');
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});
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it('should return formatted message for known app error', () => {
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const result = formatToolError('appUnExist');
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expect(result).toBeDefined();
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expect(typeof result).toBe('string');
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});
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it('should return formatted message for known plugin error', () => {
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const result = formatToolError('pluginUnExist');
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expect(result).toBeDefined();
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expect(typeof result).toBe('string');
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});
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});
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