88 lines
8.8 KiB
Plaintext
88 lines
8.8 KiB
Plaintext
{
|
|
"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
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 2
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython2",
|
|
"version": "2.7.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|