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182 lines
6.1 KiB
TypeScript
182 lines
6.1 KiB
TypeScript
import {
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AGENT_NODE_NAME,
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AI_TOOL_CALCULATOR_NODE_NAME,
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AI_MEMORY_POSTGRES_NODE_NAME,
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AI_LANGUAGE_MODEL_OPENAI_CHAT_MODEL_NODE_NAME,
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MANUAL_CHAT_TRIGGER_NODE_NAME,
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} from '../../../config/constants';
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import { test, expect } from '../../../fixtures/base';
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import type { n8nPage } from '../../../pages/n8nPage';
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// Helper functions for common operations
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async function addOpenAILanguageModelWithCredentials(
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n8n: n8nPage,
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parentNode: string,
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options: { exactMatch?: boolean; closeNDV?: boolean } = { exactMatch: true, closeNDV: false },
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) {
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await n8n.canvas.addSupplementalNodeToParent(
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AI_LANGUAGE_MODEL_OPENAI_CHAT_MODEL_NODE_NAME,
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'ai_languageModel',
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parentNode,
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options,
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);
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await n8n.credentialsComposer.createFromNdv({
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apiKey: 'abcd',
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});
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await n8n.ndv.clickBackToCanvasButton();
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}
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async function waitForWorkflowSuccess(n8n: n8nPage, timeout = 3000) {
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await n8n.notifications.waitForNotificationAndClose('Workflow executed successfully', {
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timeout,
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});
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}
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async function executeChatAndWaitForResponse(n8n: n8nPage, message: string) {
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await n8n.canvas.logsPanel.sendManualChatMessage(message);
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await waitForWorkflowSuccess(n8n);
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}
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async function verifyChatMessages(n8n: n8nPage, expectedCount: number, inputMessage?: string) {
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const messages = n8n.canvas.getManualChatMessages();
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await expect(messages).toHaveCount(expectedCount);
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if (inputMessage) {
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await expect(messages.first()).toContainText(inputMessage);
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}
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await expect(messages.last()).toBeVisible();
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return messages;
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}
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test.use({ capability: 'proxy' });
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test.describe(
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'Langchain Integration @capability:proxy',
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{
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annotation: [{ type: 'owner', description: 'AI' }],
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},
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() => {
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test.beforeEach(async ({ n8n, services }) => {
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await services.proxy.clearAllExpectations();
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await services.proxy.loadExpectations('langchain');
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await n8n.canvas.openNewWorkflow();
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});
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// Create a ticket for this for AI team to fix
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test.describe('Error Handling and Logs Display', () => {
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test.fixme();
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// Helper function to set up the agent workflow with Postgres error configuration
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async function setupAgentWorkflowWithPostgresError(n8n: n8nPage) {
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await n8n.canvas.addNode(AGENT_NODE_NAME, { closeNDV: true });
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// Add Calculator Tool (required for OpenAI model)
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await n8n.canvas.addSupplementalNodeToParent(
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AI_TOOL_CALCULATOR_NODE_NAME,
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'ai_tool',
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AGENT_NODE_NAME,
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{ closeNDV: true },
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);
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// Add and configure Postgres Memory
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await n8n.canvas.addSupplementalNodeToParent(
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AI_MEMORY_POSTGRES_NODE_NAME,
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'ai_memory',
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AGENT_NODE_NAME,
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{ closeNDV: false },
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);
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await n8n.credentialsComposer.createFromNdv({
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password: 'testtesttest',
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});
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await n8n.ndv.getParameterInput('sessionIdType').click();
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await n8n.page.getByRole('option', { name: 'Define below' }).click();
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await n8n.ndv.getParameterInput('sessionKey').locator('input').fill('asdasd');
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await n8n.ndv.clickBackToCanvasButton();
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// Add and configure OpenAI Language Model
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await addOpenAILanguageModelWithCredentials(n8n, AGENT_NODE_NAME);
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await n8n.canvas.clickZoomToFitButton();
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}
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// Helper function to assert logs tab is active
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async function assertLogsTabIsActive(n8n: n8nPage) {
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await expect(n8n.ndv.getOutputDataContainer()).toBeVisible();
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await expect(n8n.ndv.getAiOutputModeToggle()).toBeVisible();
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const radioButtons = n8n.ndv.getAiOutputModeToggle().locator('[role="radio"]');
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await expect(radioButtons).toHaveCount(2);
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await expect(radioButtons.nth(1)).toHaveAttribute('aria-checked', 'true');
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}
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// Helper function to assert error message is visible
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async function assertErrorMessageVisible(n8n: n8nPage) {
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await expect(
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n8n.ndv.getOutputPanel().getByTestId('node-error-message').first(),
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).toBeVisible();
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await expect(
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n8n.ndv.getOutputPanel().getByTestId('node-error-message').first(),
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).toContainText('Error in sub-node');
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}
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test('should open logs tab by default when there was an error', async ({ n8n }) => {
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await setupAgentWorkflowWithPostgresError(n8n);
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const inputMessage = 'Test the code tool';
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// Execute workflow with chat trigger
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await n8n.canvas.clickManualChatButton();
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await executeChatAndWaitForResponse(n8n, inputMessage);
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// Check that messages and logs are displayed
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const messages = await verifyChatMessages(n8n, 2, inputMessage);
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await expect(messages.last()).toContainText(
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'[ERROR: The service refused the connection - perhaps it is offline]',
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);
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await expect(n8n.canvas.logsPanel.getLogEntries().first()).toBeVisible();
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await expect(n8n.canvas.logsPanel.getLogEntries()).toHaveCount(3);
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await expect(n8n.canvas.logsPanel.getSelectedLogEntry()).toHaveText('AI Agent');
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await expect(n8n.canvas.logsPanel.outputPanel.get()).toContainText(
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AI_MEMORY_POSTGRES_NODE_NAME,
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);
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await n8n.canvas.closeManualChatModal();
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// Open the AI Agent node to see the logs
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await n8n.canvas.openNode(AGENT_NODE_NAME);
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// Assert that logs tab is active and error is displayed
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await assertLogsTabIsActive(n8n);
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await assertErrorMessageVisible(n8n);
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});
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test('should switch to logs tab on error, when NDV is already opened', async ({ n8n }) => {
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// Remove the auto-added chat trigger
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await n8n.canvas.addNode(MANUAL_CHAT_TRIGGER_NODE_NAME, { closeNDV: false });
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// Set manual trigger to output standard pinned data
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await n8n.ndv.getEditPinnedDataButton().click();
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await n8n.ndv.savePinnedData();
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await n8n.ndv.close();
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// Set up the same workflow components but with manual trigger
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await setupAgentWorkflowWithPostgresError(n8n);
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// Open the AI Agent node
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await n8n.canvas.openNode(AGENT_NODE_NAME);
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await n8n.ndv.getParameterInput('promptType').click();
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await n8n.page.getByRole('option', { name: 'Define below' }).click();
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await n8n.ndv.getParameterInput('text').locator('textarea').fill('Some text');
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await n8n.ndv.execute();
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await waitForWorkflowSuccess(n8n);
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// Assert that logs tab is active and error is displayed
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await assertLogsTabIsActive(n8n);
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await assertErrorMessageVisible(n8n);
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});
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});
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},
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);
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