Add unit tests for utility functions in the app workflow module. (#5466)

Co-authored-by: gru-agent[bot] <185149714+gru-agent[bot]@users.noreply.github.com>

test/cases/web/core/app/utils.test.ts

@@ -0,0 +1,147 @@
+import { describe, expect, it } from 'vitest';
+import {
+  form2AppWorkflow,
+  filterSensitiveFormData,
+  getAppQGuideCustomURL
+} from '@/web/core/app/utils';
+import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
+import { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
+import { getDefaultAppForm } from '@fastgpt/global/core/app/utils';
+
+describe('form2AppWorkflow', () => {
+  const mockT = (str: string) => str;
+
+  it('should generate simple chat workflow when no datasets or tools selected', () => {
+    const form = {
+      aiSettings: {
+        model: 'gpt-3.5',
+        temperature: 0.7,
+        maxToken: 2000,
+        systemPrompt: 'You are a helpful assistant',
+        maxHistories: 5,
+        aiChatReasoning: true,
+        aiChatTopP: 0.8,
+        aiChatStopSign: '',
+        aiChatResponseFormat: '',
+        aiChatJsonSchema: ''
+      },
+      dataset: {
+        datasets: [],
+        similarity: 0.8,
+        limit: 1500,
+        searchMode: 'embedding',
+        embeddingWeight: 0.7,
+        usingReRank: false,
+        rerankModel: '',
+        rerankWeight: 0.5,
+        datasetSearchUsingExtensionQuery: false,
+        datasetSearchExtensionModel: '',
+        datasetSearchExtensionBg: ''
+      },
+      selectedTools: [],
+      chatConfig: {}
+    };
+
+    const result = form2AppWorkflow(form, mockT);
+
+    expect(result.nodes).toHaveLength(3);
+    expect(result.edges).toHaveLength(1);
+  });
+
+  it('should generate dataset workflow when datasets are selected', () => {
+    const form = {
+      aiSettings: {
+        model: 'gpt-3.5',
+        temperature: 0.7,
+        maxToken: 2000,
+        systemPrompt: 'You are a helpful assistant',
+        maxHistories: 5,
+        aiChatReasoning: true,
+        aiChatTopP: 0.8,
+        aiChatStopSign: '',
+        aiChatResponseFormat: '',
+        aiChatJsonSchema: ''
+      },
+      dataset: {
+        datasets: ['dataset1'],
+        similarity: 0.8,
+        limit: 1500,
+        searchMode: 'embedding',
+        embeddingWeight: 0.7,
+        usingReRank: false,
+        rerankModel: '',
+        rerankWeight: 0.5,
+        datasetSearchUsingExtensionQuery: false,
+        datasetSearchExtensionModel: '',
+        datasetSearchExtensionBg: ''
+      },
+      selectedTools: [],
+      chatConfig: {}
+    };
+
+    const result = form2AppWorkflow(form, mockT);
+
+    expect(result.nodes).toHaveLength(4);
+    expect(result.edges).toHaveLength(2);
+  });
+});
+
+describe('filterSensitiveFormData', () => {
+  it('should filter sensitive data from app form', () => {
+    const appForm = {
+      aiSettings: {
+        model: 'gpt-4',
+        temperature: 0.8
+      },
+      dataset: {
+        datasets: ['sensitive-dataset'],
+        similarity: 0.9
+      },
+      selectedTools: [],
+      chatConfig: {}
+    };
+
+    const result = filterSensitiveFormData(appForm);
+    const defaultForm = getDefaultAppForm();
+
+    expect(result.dataset).toEqual(defaultForm.dataset);
+    expect(result.aiSettings).toEqual(appForm.aiSettings);
+  });
+});
+
+describe('getAppQGuideCustomURL', () => {
+  it('should get custom URL from app detail', () => {
+    const appDetail = {
+      modules: [
+        {
+          flowNodeType: FlowNodeTypeEnum.systemConfig,
+          inputs: [
+            {
+              key: NodeInputKeyEnum.chatInputGuide,
+              value: {
+                customUrl: 'https://example.com'
+              }
+            }
+          ]
+        }
+      ]
+    };
+
+    const result = getAppQGuideCustomURL(appDetail);
+    expect(result).toBe('https://example.com');
+  });
+
+  it('should return empty string if no custom URL found', () => {
+    const appDetail = {
+      modules: [
+        {
+          flowNodeType: FlowNodeTypeEnum.systemConfig,
+          inputs: []
+        }
+      ]
+    };
+
+    const result = getAppQGuideCustomURL(appDetail);
+    expect(result).toBe('');
+  });
+});