{
 "cells": [
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "# 功能使用情况数据id导出",
   "id": "6f83c58449d34b7e"
  },
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-11-28T02:48:44.131617Z",
     "start_time": "2025-11-28T02:48:43.777253Z"
    }
   },
   "source": [
    "from api import API\n",
    "import pandas as pd\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "api_instance = API()\n",
    "\n",
    "df = pd.read_excel(fr\"C:\\Users\\zy187\\Desktop\\钉钉文件\\功能使用情况_20251128102519.xlsx\",sheet_name=\"功能使用情况\")\n",
    "\n",
    "all_data =  []\n",
    "for index,row in tqdm(df.iterrows()):\n",
    "    print(row[\"data_id\"])\n",
    "    payload = {\n",
    "        \"data_id\": row[\"data_id\"]\n",
    "        , \"api_key\": \"675b900991ad2491c69389ca\"\n",
    "        , \"entry_id\": \"6763bbf657bd8fb76fcb41b2\"\n",
    "    }\n",
    "    print( payload)\n",
    "    res = api_instance.entry_data_get(payload)\n",
    "\n",
    "    org_name = res.get(\"data\").get(\"_widget_1734589432084\")\n",
    "    all_data.append([row[\"data_id\"],org_name])\n",
    "\n",
    "df1 = pd.DataFrame(all_data)\n",
    "df1.to_excel(fr\"C:\\Users\\zy187\\Desktop\\钉钉文件\\功能使用情况_20251128102519_data_id.xlsx\",index=False)\n"
   ],
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "CPU dispatcher tracer already initlized",
     "output_type": "error",
     "traceback": [
      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
      "\u001B[31mRuntimeError\u001B[39m                              Traceback (most recent call last)",
      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[4]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mapi\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m API\n\u001B[32m      2\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mpandas\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mas\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mpd\u001B[39;00m\n\u001B[32m      3\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mtqdm\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01mnotebook\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m tqdm\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\Idea Project\\SaaS_V1.7\\api.py:10\u001B[39m\n\u001B[32m      8\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mdecimal\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m Decimal\n\u001B[32m      9\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mtime\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m10\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mnumpy\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mas\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mnp\u001B[39;00m\n\u001B[32m     11\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mlog_config\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m configure_task_logger, configure_error_task_logger\n\u001B[32m     12\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mjson\u001B[39;00m\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\saas\\Lib\\site-packages\\numpy\\__init__.py:125\u001B[39m\n\u001B[32m    122\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01m.\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m _distributor_init\n\u001B[32m    124\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m--> \u001B[39m\u001B[32m125\u001B[39m     \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mnumpy\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01m__config__\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m show_config\n\u001B[32m    126\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mImportError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m e:\n\u001B[32m    127\u001B[39m     msg = \u001B[33m\"\"\"\u001B[39m\u001B[33mError importing numpy: you should not try to import numpy from\u001B[39m\n\u001B[32m    128\u001B[39m \u001B[33m    its source directory; please exit the numpy source tree, and relaunch\u001B[39m\n\u001B[32m    129\u001B[39m \u001B[33m    your python interpreter from there.\u001B[39m\u001B[33m\"\"\"\u001B[39m\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\saas\\Lib\\site-packages\\numpy\\__config__.py:4\u001B[39m\n\u001B[32m      1\u001B[39m \u001B[38;5;66;03m# This file is generated by numpy's build process\u001B[39;00m\n\u001B[32m      2\u001B[39m \u001B[38;5;66;03m# It contains system_info results at the time of building this package.\u001B[39;00m\n\u001B[32m      3\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01menum\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m Enum\n\u001B[32m----> \u001B[39m\u001B[32m4\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mnumpy\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01m_core\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01m_multiarray_umath\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m (\n\u001B[32m      5\u001B[39m     __cpu_features__,\n\u001B[32m      6\u001B[39m     __cpu_baseline__,\n\u001B[32m      7\u001B[39m     __cpu_dispatch__,\n\u001B[32m      8\u001B[39m )\n\u001B[32m     10\u001B[39m __all__ = [\u001B[33m\"\u001B[39m\u001B[33mshow_config\u001B[39m\u001B[33m\"\u001B[39m]\n\u001B[32m     11\u001B[39m _built_with_meson = \u001B[38;5;28;01mTrue\u001B[39;00m\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\saas\\Lib\\site-packages\\numpy\\_core\\__init__.py:22\u001B[39m\n\u001B[32m     19\u001B[39m         env_added.append(envkey)\n\u001B[32m     21\u001B[39m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[32m---> \u001B[39m\u001B[32m22\u001B[39m     \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01m.\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m multiarray\n\u001B[32m     23\u001B[39m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mImportError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m exc:\n\u001B[32m     24\u001B[39m     \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01msys\u001B[39;00m\n",
      "\u001B[36mFile \u001B[39m\u001B[32mD:\\ProgramTools\\anaconda3\\envs\\saas\\Lib\\site-packages\\numpy\\_core\\multiarray.py:11\u001B[39m\n\u001B[32m      1\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m      2\u001B[39m \u001B[33;03mCreate the numpy._core.multiarray namespace for backward compatibility.\u001B[39;00m\n\u001B[32m      3\u001B[39m \u001B[33;03mIn v1.16 the multiarray and umath c-extension modules were merged into\u001B[39;00m\n\u001B[32m   (...)\u001B[39m\u001B[32m      6\u001B[39m \n\u001B[32m      7\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m      9\u001B[39m \u001B[38;5;28;01mimport\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mfunctools\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m11\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01m.\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m _multiarray_umath, overrides\n\u001B[32m     12\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01m.\u001B[39;00m\u001B[34;01m_multiarray_umath\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m *  \u001B[38;5;66;03m# noqa: F403\u001B[39;00m\n\u001B[32m     14\u001B[39m \u001B[38;5;66;03m# These imports are needed for backward compatibility,\u001B[39;00m\n\u001B[32m     15\u001B[39m \u001B[38;5;66;03m# do not change them. issue gh-15518\u001B[39;00m\n\u001B[32m     16\u001B[39m \u001B[38;5;66;03m# _get_ndarray_c_version is semi-public, on purpose not added to __all__\u001B[39;00m\n",
      "\u001B[31mRuntimeError\u001B[39m: CPU dispatcher tracer already initlized"
     ]
    }
   ],
   "execution_count": 4
  }
 ],
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