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first commit
2026-03-17 16:22:57 +03:30

182 lines
6.1 KiB
TypeScript

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