mirror of
https://github.com/7836246/cursor2api.git
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152 lines
4.5 KiB
JavaScript
152 lines
4.5 KiB
JavaScript
/**
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* test/unit-openai-stream-usage.mjs
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*
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* 回归测试:/v1/chat/completions 流式最后一帧应携带 usage
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* 运行方式:npm run build && node test/unit-openai-stream-usage.mjs
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*/
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import { handleOpenAIChatCompletions } from '../dist/openai-handler.js';
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let passed = 0;
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let failed = 0;
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function test(name, fn) {
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Promise.resolve()
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.then(fn)
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.then(() => {
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console.log(` ✅ ${name}`);
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passed++;
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})
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.catch((e) => {
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console.error(` ❌ ${name}`);
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console.error(` ${e.message}`);
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failed++;
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});
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}
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function assert(condition, msg) {
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if (!condition) throw new Error(msg || 'Assertion failed');
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}
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function assertEqual(a, b, msg) {
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const as = JSON.stringify(a), bs = JSON.stringify(b);
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if (as !== bs) throw new Error(msg || `Expected ${bs}, got ${as}`);
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}
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function createCursorSseResponse(deltas) {
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const encoder = new TextEncoder();
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const stream = new ReadableStream({
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start(controller) {
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for (const delta of deltas) {
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controller.enqueue(encoder.encode(`data: ${JSON.stringify({ type: 'text-delta', delta })}\n\n`));
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}
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controller.close();
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},
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});
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return new Response(stream, {
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status: 200,
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headers: { 'Content-Type': 'text/event-stream' },
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});
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}
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class MockResponse {
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constructor() {
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this.statusCode = 200;
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this.headers = {};
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this.body = '';
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this.ended = false;
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}
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writeHead(statusCode, headers) {
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this.statusCode = statusCode;
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this.headers = { ...this.headers, ...headers };
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}
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write(chunk) {
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this.body += String(chunk);
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return true;
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}
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end(chunk = '') {
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this.body += String(chunk);
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this.ended = true;
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}
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}
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function extractDataChunks(sseText) {
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return sseText
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.split('\n\n')
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.map(part => part.trim())
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.filter(Boolean)
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.filter(part => part.startsWith('data: '))
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.map(part => part.slice(6))
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.filter(part => part !== '[DONE]')
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.map(part => JSON.parse(part));
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}
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console.log('\n📦 [1] OpenAI Chat Completions 流式 usage 回归\n');
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const pending = [];
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pending.push((async () => {
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const originalFetch = global.fetch;
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try {
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global.fetch = async () => createCursorSseResponse(['Hello', ' world from Cursor']);
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const req = {
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method: 'POST',
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path: '/v1/chat/completions',
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body: {
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model: 'gpt-4.1',
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stream: true,
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messages: [
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{ role: 'user', content: 'Write a short greeting in English.' },
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],
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},
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};
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const res = new MockResponse();
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await handleOpenAIChatCompletions(req, res);
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assertEqual(res.statusCode, 200, 'statusCode 应为 200');
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assert(res.ended, '响应应结束');
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const chunks = extractDataChunks(res.body);
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assert(chunks.length >= 2, '至少应包含 role chunk 和完成 chunk');
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const lastChunk = chunks[chunks.length - 1];
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assertEqual(lastChunk.object, 'chat.completion.chunk');
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assert(lastChunk.usage, '最后一帧应包含 usage');
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assert(typeof lastChunk.usage.prompt_tokens === 'number' && lastChunk.usage.prompt_tokens > 0, 'prompt_tokens 应为正数');
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assert(typeof lastChunk.usage.completion_tokens === 'number' && lastChunk.usage.completion_tokens > 0, 'completion_tokens 应为正数');
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assertEqual(
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lastChunk.usage.total_tokens,
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lastChunk.usage.prompt_tokens + lastChunk.usage.completion_tokens,
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'total_tokens 应等于 prompt_tokens + completion_tokens'
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);
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assertEqual(lastChunk.choices[0].finish_reason, 'stop', '最后一帧 finish_reason 应为 stop');
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const contentChunks = chunks.filter(chunk => chunk.choices?.[0]?.delta?.content);
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assert(contentChunks.length > 0, '应输出至少一个 content chunk');
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} finally {
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global.fetch = originalFetch;
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}
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})().then(() => {
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console.log(' ✅ 流式最后一帧携带 usage');
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passed++;
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}).catch((e) => {
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console.error(' ❌ 流式最后一帧携带 usage');
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console.error(` ${e.message}`);
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failed++;
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}));
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await Promise.all(pending);
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console.log('\n' + '═'.repeat(55));
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console.log(` 结果: ${passed} 通过 / ${failed} 失败 / ${passed + failed} 总计`);
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console.log('═'.repeat(55) + '\n');
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if (failed > 0) process.exit(1);
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