Manual Upload Markdown Canary【免费下载链接】SurfSenseOpen-source NotebookLM alternative. Research the open web with live data(Reddit, YT, IG, TikTok, Indeed, Google Search, Maps etc) through one platform, API or MCP server. Join our Discord: https://discord.gg/ejRNvftDp9项目地址: https://gitcode.com/GitHub_Trending/su/SurfSenseThis markdown file proves the manual upload journey can index plaintext content.Canary token: E2E-MANUAL-UPLOAD-MD-CANARY-7f3a这正是文档第 2 条 Tip 所说的需要真实内容时用 fixture 文件若 PDF 解析、分块、向量索引任何一环丢内容聊天回答里就不会出现该令牌测试即失败。 **2. 通过 UI 完成上传通过 API 完成深度断言。** 上传动作本身走 UI点击 Upload 按钮打开 Upload Documents 对话框然后对对话框内的 input[typefile] 执行 setInputFiles(file.path)——与文档中 drop zone 示例的做法完全一致。但断言不满足于页面显示成功而是通过 request fixture 调用 API 辅助函数做多级校验 typescript await dialog.locator(input[typefile]).first().setInputFiles(file.path); await dialog.getByRole(button, { name: /Upload 1 file/i }).click(); await expect(page.getByText(/Upload Task Initiated/i)).toBeVisible({ timeout: 15_000, }); await waitForDocumentByTitle(request, apiToken, workspace.id, file.name, { timeoutMs: 200_000, });【免费下载链接】SurfSenseOpen-source NotebookLM alternative. Research the open web with live data(Reddit, YT, IG, TikTok, Indeed, Google Search, Maps etc) through one platform, API or MCP server. Join our Discord: https://discord.gg/ejRNvftDp9项目地址: https://gitcode.com/GitHub_Trending/su/SurfSense创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考