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@lobehub/chat

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Lobe Chat - an open-source, high-performance chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Supports one-click free deployment of your private ChatGPT/LLM web application.

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// @vitest-environment node import OpenAI from 'openai'; import { Mock, afterEach, beforeEach, describe, expect, it, vi } from 'vitest'; import { LobeOpenAICompatibleRuntime } from '@/libs/agent-runtime'; import { ModelProvider } from '@/libs/agent-runtime'; import { AgentRuntimeErrorType } from '@/libs/agent-runtime'; import * as debugStreamModule from '../utils/debugStream'; import { LobeGithubAI } from './index'; const provider = ModelProvider.Github; const defaultBaseURL = 'https://models.inference.ai.azure.com'; const bizErrorType = AgentRuntimeErrorType.ProviderBizError; const invalidErrorType = AgentRuntimeErrorType.InvalidGithubToken; // Mock the console.error to avoid polluting test output vi.spyOn(console, 'error').mockImplementation(() => {}); let instance: LobeOpenAICompatibleRuntime; beforeEach(() => { instance = new LobeGithubAI({ apiKey: 'test' }); }); afterEach(() => { vi.restoreAllMocks(); }); describe('LobeGithubAI', () => { describe('init', () => { it('should correctly initialize with an API key', async () => { const instance = new LobeGithubAI({ apiKey: 'test_api_key' }); expect(instance).toBeInstanceOf(LobeGithubAI); expect(instance.baseURL).toEqual(defaultBaseURL); }); }); describe('chat', () => { beforeEach(() => { // Use vi.spyOn to mock the chat.completions.create method vi.spyOn(instance['client'].chat.completions, 'create').mockResolvedValue( new ReadableStream() as any, ); }); describe('Error', () => { it('should return GithubBizError with an openai error response when OpenAI.APIError is thrown', async () => { // Arrange const apiError = new OpenAI.APIError( 400, { status: 400, error: { message: 'Bad Request', }, }, 'Error message', {}, ); vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(apiError); // Act try { await instance.chat({ messages: [{ content: 'Hello', role: 'user' }], model: 'meta-llama-3-70b-instruct', temperature: 0.7, }); } catch (e) { expect(e).toEqual({ endpoint: defaultBaseURL, error: { error: { message: 'Bad Request' }, status: 400, }, errorType: bizErrorType, provider, }); } }); it('should throw AgentRuntimeError with InvalidGithubToken if no apiKey is provided', async () => { try { new LobeGithubAI({}); } catch (e) { expect(e).toEqual({ errorType: invalidErrorType }); } }); it('should return GithubBizError with the cause when OpenAI.APIError is thrown with cause', async () => { // Arrange const errorInfo = { stack: 'abc', cause: { message: 'api is undefined', }, }; const apiError = new OpenAI.APIError(400, errorInfo, 'module error', {}); vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(apiError); // Act try { await instance.chat({ messages: [{ content: 'Hello', role: 'user' }], model: 'meta-llama-3-70b-instruct', temperature: 0.7, }); } catch (e) { expect(e).toEqual({ endpoint: defaultBaseURL, error: { cause: { message: 'api is undefined' }, stack: 'abc', }, errorType: bizErrorType, provider, }); } }); it('should throw an InvalidGithubToken error type on 401 status code', async () => { // Mock the API call to simulate a 401 error const error = new Error('InvalidApiKey') as any; error.status = 401; vi.mocked(instance['client'].chat.completions.create).mockRejectedValue(error); try { await instance.chat({ messages: [{ content: 'Hello', role: 'user' }], model: 'meta-llama-3-70b-instruct', temperature: 0.7, }); } catch (e) { expect(e).toEqual({ endpoint: defaultBaseURL, error: new Error('InvalidApiKey'), errorType: invalidErrorType, provider, }); } }); it('should return AgentRuntimeError for non-OpenAI errors', async () => { // Arrange const genericError = new Error('Generic Error'); vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(genericError); // Act try { await instance.chat({ messages: [{ content: 'Hello', role: 'user' }], model: 'meta-llama-3-70b-instruct', temperature: 0.7, }); } catch (e) { expect(e).toEqual({ endpoint: defaultBaseURL, errorType: 'AgentRuntimeError', provider, error: { name: genericError.name, cause: genericError.cause, message: genericError.message, stack: genericError.stack, }, }); } }); }); describe('DEBUG', () => { it('should call debugStream and return StreamingTextResponse when DEBUG_GITHUB_CHAT_COMPLETION is 1', async () => { // Arrange const mockProdStream = new ReadableStream() as any; const mockDebugStream = new ReadableStream({ start(controller) { controller.enqueue('Debug stream content'); controller.close(); }, }) as any; mockDebugStream.toReadableStream = () => mockDebugStream; // mock (instance['client'].chat.completions.create as Mock).mockResolvedValue({ tee: () => [mockProdStream, { toReadableStream: () => mockDebugStream }], }); const originalDebugValue = process.env.DEBUG_GITHUB_CHAT_COMPLETION; process.env.DEBUG_GITHUB_CHAT_COMPLETION = '1'; vi.spyOn(debugStreamModule, 'debugStream').mockImplementation(() => Promise.resolve()); // 执行测试 await instance.chat({ messages: [{ content: 'Hello', role: 'user' }], model: 'meta-llama-3-70b-instruct', stream: true, temperature: 0.7, }); // 验证 debugStream 被调用 expect(debugStreamModule.debugStream).toHaveBeenCalled(); // 恢复原始环境变量值 process.env.DEBUG_GITHUB_CHAT_COMPLETION = originalDebugValue; }); }); }); });