openai-plugins/__tests__/config.test.ts

A TypeScript library that provides an OpenAI-compatible client for the Model Context Protocol (MCP).

/**
 * Tests for configuration-related functionality
 */
describe('Configuration Tests', () => {
  // Import needed module parts
  const { setMcpLogLevel } = require('../dist/openai-mcp');
  
  // Mock process.env
  const originalEnv = process.env;
  
  beforeEach(() => {
    // Reset process.env before each test
    jest.resetModules();
    process.env = { ...originalEnv };
  });
  
  afterAll(() => {
    // Restore process.env after all tests
    process.env = originalEnv;
  });
  
  test('Environment variables can be used for configuration', () => {
    // Set environment variables
    process.env.MCP_SERVER_URL = 'http://example.com/mcp';
    process.env.OPENAI_API_KEY = 'test-api-key';
    
    // Require module again to pick up new environment variables
    const config = jest.requireActual('../dist/openai-mcp');
    
    // Just check that the module loads with the environment variables set
    expect(config).toBeDefined();
  });
  
  test('Log level can be configured and is exported', () => {
    // Import the log level
    const { MCP_LOG_LVL } = require('../dist/openai-mcp');
    
    // Should be defined
    expect(MCP_LOG_LVL).toBeDefined();
    
    // Test setting it to each valid level
    // We're just checking it doesn't throw errors, not checking the values
    // as that's tested in the logging tests
    expect(() => setMcpLogLevel('debug')).not.toThrow();
    expect(() => setMcpLogLevel('info')).not.toThrow();
    expect(() => setMcpLogLevel('warn')).not.toThrow();
    expect(() => setMcpLogLevel('error')).not.toThrow();
  });
});