refactor(Basic LLM Chain Node): Refactor Basic LLM Chain & add tests (#13850)

packages/@n8n/nodes-langchain/nodes/chains/ChainLLM/test/config.test.ts

@@ -0,0 +1,49 @@
+import { NodeConnectionType } from 'n8n-workflow';
+
+import { getInputs, nodeProperties } from '../methods/config';
+
+describe('config', () => {
+	describe('getInputs', () => {
+		it('should return basic inputs for all parameters', () => {
+			const inputs = getInputs({});
+
+			expect(inputs).toHaveLength(3);
+			expect(inputs[0].type).toBe(NodeConnectionType.Main);
+			expect(inputs[1].type).toBe(NodeConnectionType.AiLanguageModel);
+			expect(inputs[2].type).toBe(NodeConnectionType.AiOutputParser);
+		});
+
+		it('should exclude the OutputParser when hasOutputParser is false', () => {
+			const inputs = getInputs({ hasOutputParser: false });
+
+			expect(inputs).toHaveLength(2);
+			expect(inputs[0].type).toBe(NodeConnectionType.Main);
+			expect(inputs[1].type).toBe(NodeConnectionType.AiLanguageModel);
+		});
+
+		it('should include the OutputParser when hasOutputParser is true', () => {
+			const inputs = getInputs({ hasOutputParser: true });
+
+			expect(inputs).toHaveLength(3);
+			expect(inputs[2].type).toBe(NodeConnectionType.AiOutputParser);
+		});
+	});
+
+	describe('nodeProperties', () => {
+		it('should have the expected properties', () => {
+			expect(Array.isArray(nodeProperties)).toBe(true);
+			expect(nodeProperties.length).toBeGreaterThan(0);
+
+			const promptParams = nodeProperties.filter((prop) => prop.name === 'prompt');
+			expect(promptParams.length).toBeGreaterThan(0);
+
+			const messagesParam = nodeProperties.find((prop) => prop.name === 'messages');
+			expect(messagesParam).toBeDefined();
+			expect(messagesParam?.type).toBe('fixedCollection');
+
+			const hasOutputParserParam = nodeProperties.find((prop) => prop.name === 'hasOutputParser');
+			expect(hasOutputParserParam).toBeDefined();
+			expect(hasOutputParserParam?.type).toBe('boolean');
+		});
+	});
+});