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| 1 | +// @vitest-environment node |
| 2 | +import OpenAI from 'openai'; |
| 3 | +import { Mock, afterEach, beforeEach, describe, expect, it, vi } from 'vitest'; |
| 4 | + |
| 5 | +import { |
| 6 | + ChatStreamCallbacks, |
| 7 | + LobeOpenAICompatibleRuntime, |
| 8 | + ModelProvider, |
| 9 | +} from '@/libs/agent-runtime'; |
| 10 | + |
| 11 | +import * as debugStreamModule from '../utils/debugStream'; |
| 12 | +import { LobeLMStudioAI } from './index'; |
| 13 | + |
| 14 | +const provider = ModelProvider.LMStudio; |
| 15 | +const defaultBaseURL = 'http://localhost:1234/v1'; |
| 16 | + |
| 17 | +const bizErrorType = 'ProviderBizError'; |
| 18 | +const invalidErrorType = 'InvalidProviderAPIKey'; |
| 19 | + |
| 20 | +// Mock the console.error to avoid polluting test output |
| 21 | +vi.spyOn(console, 'error').mockImplementation(() => {}); |
| 22 | + |
| 23 | +let instance: LobeOpenAICompatibleRuntime; |
| 24 | + |
| 25 | +beforeEach(() => { |
| 26 | + instance = new LobeLMStudioAI({ apiKey: 'test' }); |
| 27 | + |
| 28 | + // 使用 vi.spyOn 来模拟 chat.completions.create 方法 |
| 29 | + vi.spyOn(instance['client'].chat.completions, 'create').mockResolvedValue( |
| 30 | + new ReadableStream() as any, |
| 31 | + ); |
| 32 | +}); |
| 33 | + |
| 34 | +afterEach(() => { |
| 35 | + vi.clearAllMocks(); |
| 36 | +}); |
| 37 | + |
| 38 | +describe('LobeLMStudioAI', () => { |
| 39 | + describe('init', () => { |
| 40 | + it('should correctly initialize with an API key', async () => { |
| 41 | + const instance = new LobeLMStudioAI({ apiKey: 'test_api_key' }); |
| 42 | + expect(instance).toBeInstanceOf(LobeLMStudioAI); |
| 43 | + expect(instance.baseURL).toEqual(defaultBaseURL); |
| 44 | + }); |
| 45 | + }); |
| 46 | + |
| 47 | + describe('chat', () => { |
| 48 | + describe('Error', () => { |
| 49 | + it('should return OpenAIBizError with an openai error response when OpenAI.APIError is thrown', async () => { |
| 50 | + // Arrange |
| 51 | + const apiError = new OpenAI.APIError( |
| 52 | + 400, |
| 53 | + { |
| 54 | + status: 400, |
| 55 | + error: { |
| 56 | + message: 'Bad Request', |
| 57 | + }, |
| 58 | + }, |
| 59 | + 'Error message', |
| 60 | + {}, |
| 61 | + ); |
| 62 | + |
| 63 | + vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(apiError); |
| 64 | + |
| 65 | + // Act |
| 66 | + try { |
| 67 | + await instance.chat({ |
| 68 | + messages: [{ content: 'Hello', role: 'user' }], |
| 69 | + model: 'deepseek-chat', |
| 70 | + temperature: 0, |
| 71 | + }); |
| 72 | + } catch (e) { |
| 73 | + expect(e).toEqual({ |
| 74 | + endpoint: defaultBaseURL, |
| 75 | + error: { |
| 76 | + error: { message: 'Bad Request' }, |
| 77 | + status: 400, |
| 78 | + }, |
| 79 | + errorType: bizErrorType, |
| 80 | + provider, |
| 81 | + }); |
| 82 | + } |
| 83 | + }); |
| 84 | + |
| 85 | + it('should throw AgentRuntimeError with NoOpenAIAPIKey if no apiKey is provided', async () => { |
| 86 | + try { |
| 87 | + new LobeLMStudioAI({}); |
| 88 | + } catch (e) { |
| 89 | + expect(e).toEqual({ errorType: invalidErrorType }); |
| 90 | + } |
| 91 | + }); |
| 92 | + |
| 93 | + it('should return OpenAIBizError with the cause when OpenAI.APIError is thrown with cause', async () => { |
| 94 | + // Arrange |
| 95 | + const errorInfo = { |
| 96 | + stack: 'abc', |
| 97 | + cause: { |
| 98 | + message: 'api is undefined', |
| 99 | + }, |
| 100 | + }; |
| 101 | + const apiError = new OpenAI.APIError(400, errorInfo, 'module error', {}); |
| 102 | + |
| 103 | + vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(apiError); |
| 104 | + |
| 105 | + // Act |
| 106 | + try { |
| 107 | + await instance.chat({ |
| 108 | + messages: [{ content: 'Hello', role: 'user' }], |
| 109 | + model: 'deepseek-chat', |
| 110 | + temperature: 0, |
| 111 | + }); |
| 112 | + } catch (e) { |
| 113 | + expect(e).toEqual({ |
| 114 | + endpoint: defaultBaseURL, |
| 115 | + error: { |
| 116 | + cause: { message: 'api is undefined' }, |
| 117 | + stack: 'abc', |
| 118 | + }, |
| 119 | + errorType: bizErrorType, |
| 120 | + provider, |
| 121 | + }); |
| 122 | + } |
| 123 | + }); |
| 124 | + |
| 125 | + it('should return OpenAIBizError with an cause response with desensitize Url', async () => { |
| 126 | + // Arrange |
| 127 | + const errorInfo = { |
| 128 | + stack: 'abc', |
| 129 | + cause: { message: 'api is undefined' }, |
| 130 | + }; |
| 131 | + const apiError = new OpenAI.APIError(400, errorInfo, 'module error', {}); |
| 132 | + |
| 133 | + instance = new LobeLMStudioAI({ |
| 134 | + apiKey: 'test', |
| 135 | + |
| 136 | + baseURL: 'https://api.abc.com/v1', |
| 137 | + }); |
| 138 | + |
| 139 | + vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(apiError); |
| 140 | + |
| 141 | + // Act |
| 142 | + try { |
| 143 | + await instance.chat({ |
| 144 | + messages: [{ content: 'Hello', role: 'user' }], |
| 145 | + model: 'deepseek-chat', |
| 146 | + temperature: 0, |
| 147 | + }); |
| 148 | + } catch (e) { |
| 149 | + expect(e).toEqual({ |
| 150 | + endpoint: 'https://api.***.com/v1', |
| 151 | + error: { |
| 152 | + cause: { message: 'api is undefined' }, |
| 153 | + stack: 'abc', |
| 154 | + }, |
| 155 | + errorType: bizErrorType, |
| 156 | + provider, |
| 157 | + }); |
| 158 | + } |
| 159 | + }); |
| 160 | + |
| 161 | + it('should throw an InvalidDeepSeekAPIKey error type on 401 status code', async () => { |
| 162 | + // Mock the API call to simulate a 401 error |
| 163 | + const error = new Error('Unauthorized') as any; |
| 164 | + error.status = 401; |
| 165 | + vi.mocked(instance['client'].chat.completions.create).mockRejectedValue(error); |
| 166 | + |
| 167 | + try { |
| 168 | + await instance.chat({ |
| 169 | + messages: [{ content: 'Hello', role: 'user' }], |
| 170 | + model: 'deepseek-chat', |
| 171 | + temperature: 0, |
| 172 | + }); |
| 173 | + } catch (e) { |
| 174 | + // Expect the chat method to throw an error with InvalidDeepSeekAPIKey |
| 175 | + expect(e).toEqual({ |
| 176 | + endpoint: defaultBaseURL, |
| 177 | + error: new Error('Unauthorized'), |
| 178 | + errorType: invalidErrorType, |
| 179 | + provider, |
| 180 | + }); |
| 181 | + } |
| 182 | + }); |
| 183 | + |
| 184 | + it('should return AgentRuntimeError for non-OpenAI errors', async () => { |
| 185 | + // Arrange |
| 186 | + const genericError = new Error('Generic Error'); |
| 187 | + |
| 188 | + vi.spyOn(instance['client'].chat.completions, 'create').mockRejectedValue(genericError); |
| 189 | + |
| 190 | + // Act |
| 191 | + try { |
| 192 | + await instance.chat({ |
| 193 | + messages: [{ content: 'Hello', role: 'user' }], |
| 194 | + model: 'deepseek-chat', |
| 195 | + temperature: 0, |
| 196 | + }); |
| 197 | + } catch (e) { |
| 198 | + expect(e).toEqual({ |
| 199 | + endpoint: defaultBaseURL, |
| 200 | + errorType: 'AgentRuntimeError', |
| 201 | + provider, |
| 202 | + error: { |
| 203 | + name: genericError.name, |
| 204 | + cause: genericError.cause, |
| 205 | + message: genericError.message, |
| 206 | + stack: genericError.stack, |
| 207 | + }, |
| 208 | + }); |
| 209 | + } |
| 210 | + }); |
| 211 | + }); |
| 212 | + |
| 213 | + describe('DEBUG', () => { |
| 214 | + it('should call debugStream and return StreamingTextResponse when DEBUG_LMSTUDIO_CHAT_COMPLETION is 1', async () => { |
| 215 | + // Arrange |
| 216 | + const mockProdStream = new ReadableStream() as any; // 模拟的 prod 流 |
| 217 | + const mockDebugStream = new ReadableStream({ |
| 218 | + start(controller) { |
| 219 | + controller.enqueue('Debug stream content'); |
| 220 | + controller.close(); |
| 221 | + }, |
| 222 | + }) as any; |
| 223 | + mockDebugStream.toReadableStream = () => mockDebugStream; // 添加 toReadableStream 方法 |
| 224 | + |
| 225 | + // 模拟 chat.completions.create 返回值，包括模拟的 tee 方法 |
| 226 | + (instance['client'].chat.completions.create as Mock).mockResolvedValue({ |
| 227 | + tee: () => [mockProdStream, { toReadableStream: () => mockDebugStream }], |
| 228 | + }); |
| 229 | + |
| 230 | + // 保存原始环境变量值 |
| 231 | + const originalDebugValue = process.env.DEBUG_LMSTUDIO_CHAT_COMPLETION; |
| 232 | + |
| 233 | + // 模拟环境变量 |
| 234 | + process.env.DEBUG_LMSTUDIO_CHAT_COMPLETION = '1'; |
| 235 | + vi.spyOn(debugStreamModule, 'debugStream').mockImplementation(() => Promise.resolve()); |
| 236 | + |
| 237 | + // 执行测试 |
| 238 | + // 运行你的测试函数，确保它会在条件满足时调用 debugStream |
| 239 | + // 假设的测试函数调用，你可能需要根据实际情况调整 |
| 240 | + await instance.chat({ |
| 241 | + messages: [{ content: 'Hello', role: 'user' }], |
| 242 | + model: 'deepseek-chat', |
| 243 | + stream: true, |
| 244 | + temperature: 0, |
| 245 | + }); |
| 246 | + |
| 247 | + // 验证 debugStream 被调用 |
| 248 | + expect(debugStreamModule.debugStream).toHaveBeenCalled(); |
| 249 | + |
| 250 | + // 恢复原始环境变量值 |
| 251 | + process.env.DEBUG_LMSTUDIO_CHAT_COMPLETION = originalDebugValue; |
| 252 | + }); |
| 253 | + }); |
| 254 | + }); |
| 255 | +}); |
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