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   "source": [
    "# 如何在 Jupyter 中运行 FastAPI 应用程序"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 在 Jupyter 中运行 FastAPI 应用程序\n",
    "要在 Jupyter 中运行 FastAPI 应用程序，我们可以使用以下命令：\n",
    "\n",
    "```python\n",
    "if __name__ == \"__main__\":\n",
    "    import uvicorn\n",
    "    uvicorn.run(app, host=\"0.0.0.0\", port=8000)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在上面的代码中，使用 {func}`uvicorn.run` 函数来运行 FastAPI 应用程序。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用 Jupyter 内嵌窗口运行 FastAPI 应用程序"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果您希望从已经运行的 `async` 环境中运行 `uvicorn`，请改用 `uvicorn.Server.serve()` (将以下代码添加到您的 Jupyter 笔记本中的新代码单元格中并执行它)：\n",
    "\n",
    "```python\n",
    "import asyncio\n",
    "import uvicorn\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    config = uvicorn.Config(app)\n",
    "    server = uvicorn.Server(config)\n",
    "    await server.serve()\n",
    "```\n",
    "\n",
    "或者，获取当前事件循环(使用 `asyncio.get_event_loop()`)，并调用 `loop.create_task()` 在事件循环内为当前线程创建任务：\n",
    "```python\n",
    "import asyncio\n",
    "import uvicorn\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    config = uvicorn.Config(app)\n",
    "    server = uvicorn.Server(config)\n",
    "    loop = asyncio.get_event_loop()\n",
    "    loop.create_task(server.serve())\n",
    "```"
   ]
  },
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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