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F6--/其它系统脚本/宜搭刷数据.ipynb
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panda f1831c31b4 脚本
2026-01-30 11:28:35 +08:00

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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# 修改内容"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n",
"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\.libs\\libopenblas.EL2C6PLE4ZYW3ECEVIV3OXXGRN2NRFM2.gfortran-win_amd64.dll\n",
"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\.libs\\libopenblas64__v0.3.21-gcc_10_3_0.dll\n",
" warnings.warn(\"loaded more than 1 DLL from .libs:\"\n"
]
},
{
"ename": "ValueError",
"evalue": "time data '\"\"' does not match format '%Y-%m-%dT%H:%MZ'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-1-9448274a73e8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 54\u001b[0m \u001b[0mdate_string\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 55\u001b[0m \u001b[1;31m# 将日期时间字符串转换为datetime对象\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 56\u001b[1;33m \u001b[0mdt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdatetime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstrptime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdate_string\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdate_format\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 57\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[1;31m# 将datetime对象转换为毫秒级时间戳\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\_strptime.py\u001b[0m in \u001b[0;36m_strptime_datetime\u001b[1;34m(cls, data_string, format)\u001b[0m\n\u001b[0;32m 566\u001b[0m \"\"\"Return a class cls instance based on the input string and the\n\u001b[0;32m 567\u001b[0m format string.\"\"\"\n\u001b[1;32m--> 568\u001b[1;33m \u001b[0mtt\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfraction\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mgmtoff_fraction\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_strptime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_string\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 569\u001b[0m \u001b[0mtzname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mgmtoff\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtt\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 570\u001b[0m \u001b[0margs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtt\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mfraction\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\_strptime.py\u001b[0m in \u001b[0;36m_strptime\u001b[1;34m(data_string, format)\u001b[0m\n\u001b[0;32m 347\u001b[0m \u001b[0mfound\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mformat_regex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmatch\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_string\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 348\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mfound\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 349\u001b[1;33m raise ValueError(\"time data %r does not match format %r\" %\n\u001b[0m\u001b[0;32m 350\u001b[0m (data_string, format))\n\u001b[0;32m 351\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata_string\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mfound\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mValueError\u001b[0m: time data '\"\"' does not match format '%Y-%m-%dT%H:%MZ'"
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"date_format = \"%Y-%m-%dT%H:%MZ\"\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\(流程)续约服务流程_20240820090352.xlsx',sheet_name='Sheet1',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for a in range(1,10):\n",
" for i in range(1,len(df)):\n",
" if df.iloc[i,a] !=\"\":\n",
" # 输入的日期时间字符串\n",
" date_string = df.iloc[i,a]\n",
" # 将日期时间字符串转换为datetime对象\n",
" dt = datetime.datetime.strptime(date_string, date_format)\n",
"\n",
" # 将datetime对象转换为毫秒级时间戳\n",
" timestamp = int(dt.timestamp() * 1000)\n",
" data_new = {\n",
" df.iloc[0,a]:timestamp\n",
" }\n",
"\n",
" \"\"\" 函数功能：更新表单内容 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"2268275546837446\", # 曹伟 id\n",
" \"language\" : \"zh_CN\",\n",
" \"useLatestVersion\" : \"false\",\n",
" \"formInstanceId\" : df.loc[i,'实例ID'],\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(df.loc[i,'实例ID'],data_new,res.json())"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# 批量修改内容"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n",
"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\.libs\\libopenblas.EL2C6PLE4ZYW3ECEVIV3OXXGRN2NRFM2.gfortran-win_amd64.dll\n",
"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\.libs\\libopenblas64__v0.3.21-gcc_10_3_0.dll\n",
" warnings.warn(\"loaded more than 1 DLL from .libs:\"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 1 7fefd07e-b8ec-4a31-bcb4-5f6c14e0e1b6 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 2 398f7a6d-e2e9-4f4f-ad02-317d222a5b94 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 3 4e017b3d-d3e6-4a61-bc09-acca3664d49e {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 4 84cc311d-1f5a-47db-b968-6110bfdffc02 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 5 67a40f66-8d95-4874-b81a-eb801326d1c1 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 6 f816e90b-b5db-4ea3-8bc0-39a50c938bb3 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 7 77877833-7cfa-455e-9d78-ba04864347fd {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 8 1d0ac013-605e-4b86-bb06-8a4b094883a3 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 9 27a018cf-58b9-40e5-a072-e2d07e6608b9 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 10 7992654c-5634-4ba5-940e-e4aa7a016fc0 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 11 6981b396-63eb-48db-bda4-ba61dad3ab12 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 12 f4e53a66-230c-4fad-bb43-56c773443aa8 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 13 44dd4580-6306-4832-a12a-e1b879b027cb {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 14 4e88151c-8fff-453d-b882-d7be9cbefad5 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 15 b9cf4bfd-02c1-40b8-a9bd-1333a4bb4f1a {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 16 904048f3-d381-485e-b425-a013bc3da4f8 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 17 546efbae-84ea-46f1-9588-5ccf1e340463 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 18 96000ec1-46af-44e0-92d7-affe28374ad1 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 19 8a99b843-5e70-4513-af99-141f7fa1489b {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 20 e731c812-5152-4fd8-9637-da2b465fbf82 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 21 09ce643f-477f-445e-8a43-c56841412661 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 22 0503b485-c28c-447f-b7b2-3271e3ce03ec {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 23 ed50f18d-d488-4563-87c1-a0565a9ae095 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 24 dc48eae5-c2af-4a3a-9f69-fdb567aac9c1 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 25 a5e04c6b-beb2-4fb0-a9f9-40dac95f305f {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 26 600caae4-f985-4a1f-826f-64bf9501a212 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 27 ba7c6f5c-787d-4d4f-bdde-5e6c0509b5de {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 28 c178c667-f4a4-44d3-95c5-c7a47fb07883 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 29 0cbb954d-c3cb-4a91-8f8c-a90add4c004e {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"1 30 d297781e-4ed4-4631-90d1-bacf6858ec17 {'employeeField_la80kj0k': '0142616466211051049'} {}\n"
]
},
{
"ename": "IndexError",
"evalue": "index 2 is out of bounds for axis 0 with size 2",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-1-0bb6bbf508a0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 51\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 52\u001b[1;33m \u001b[1;32mif\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m!=\u001b[0m\u001b[1;34m\"\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 53\u001b[0m data_new = {\n\u001b[0;32m 54\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 1094\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1095\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_is_scalar_access\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1096\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_takeable\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1097\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1098\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_get_value\u001b[1;34m(self, index, col, takeable)\u001b[0m\n\u001b[0;32m 3875\u001b[0m \"\"\"\n\u001b[0;32m 3876\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3877\u001b[1;33m \u001b[0mseries\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_ixs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcol\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3878\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mseries\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3879\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_ixs\u001b[1;34m(self, i, axis)\u001b[0m\n\u001b[0;32m 3662\u001b[0m \u001b[1;31m# icol\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3663\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3664\u001b[1;33m \u001b[0mlabel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3665\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3666\u001b[0m \u001b[0mcol_mgr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_mgr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 5172\u001b[0m \u001b[1;31m# GH#44051 exclude bool, which would return a 2d ndarray\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5173\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcast_scalar_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5174\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mgetitem\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 5175\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5176\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mIndexError\u001b[0m: index 2 is out of bounds for axis 0 with size 2"
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"date_format = \"%Y-%m-%dT%H:%MZ\"\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\新签回访-区域客服调整（董红日）0904.xlsx',sheet_name='Sheet2',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for a in range(1,20):\n",
" for i in range(1,len(df)):\n",
" if df.iloc[i,a] !=\"\":\n",
" data_new = {\n",
" df.iloc[0,a]:df.iloc[i,a]\n",
" }\n",
" \"\"\" 函数功能：更新表单内容 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"yida_pub_account\", # 曹伟 id\n",
" \"language\" : \"zh_CN\",\n",
" \"useLatestVersion\" : \"false\",\n",
" \"formInstanceId\" : df.loc[i,'实例ID'],\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(a,i,df.loc[i,'实例ID'],data_new,res.json())"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"70 33126272513 4d33fc87-d54d-4fbd-8f54-4002f5181814 0142616466211051049 {}\n",
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"101 34125239284 9acb3a4f-e8a3-4ab0-b090-1e0a9b1b34c5 0142616466211051049 {}\n",
"102 33125856231 5e908de9-721d-41af-9b15-0d0a1d677d3e 0142616466211051049 {}\n",
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"104 34129833884 802ee278-4aa8-4f32-8c47-30f54b29702c 0142616466211051049 {}\n",
"105 35816264482 87f2a351-fd6f-428f-9012-cf1444f07667 0142616466211051049 {}\n"
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
"\n",
"\n",
"\"\"\" 处理流程开始 \"\"\"\n",
"FORMID = \"FORM-L89662816B04LXH893M4K50Q7MIZ1SVQI08ALU2\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\0801区域客服董红日交接——新签节点化服务待办_20240801142335.xlsx',sheet_name='Sheet1',dtype='string')\n",
"for i in range(len(df)):\n",
" try:\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'修成ID']\n",
"\n",
" \"\"\" 函数功能：获取流程表单的审批记录 --F6客户服务 应用 \"\"\"\n",
" appType = \"APP_UYZ0KG6L0CCNV80GZ66O\"\n",
" systemToken = \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\"\n",
" userId = \"yida_pub_account\"\n",
"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/processes/operationRecords?appType={appType}&systemToken={systemToken}&userId={userId}&language=zh_CN&processInstanceId={a}'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
"\n",
" res = requests.get(api, headers=headers)\n",
" res_new = res.json()\n",
" records_new = res_new.get('result')\n",
"\n",
" records_new = [item for item in records_new if item.get('type') == \"TODO\"]\n",
" showName_new = records_new[0].get('showName')\n",
"\n",
" records_new = [item for item in records_new if item.get('type') == \"TODO\"]\n",
" taskId = records_new[0].get('taskId')\n",
"\n",
"\n",
"\n",
" \"\"\" 函数功能：转交审批节点 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/tasks/redirect'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
" payload = {\n",
" \"processInstanceId\" : a,\n",
" \"byManager\" : \"y\",\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"language\": \"zh_CN\",\n",
" \"remark\" : \"转交(接口自动)\",\n",
" \"nowActionExecutorId\" : b,\n",
" \"userId\" : \"2268275546837446\",\n",
" \"taskId\" : int(taskId)\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=payload)\n",
" print(i,taskId,a,b,res.text)\n",
" except:\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0 18003578589 fd4c5480-7e7c-4b9e-befe-765e99641809 282157630429075679 {}\n",
"1 17702030373 eda27d19-95bf-4c70-9c2a-878e124ea88c 282157630429075679 {}\n",
"2 17376198152 a5f3dd4f-dd98-496e-95b6-0649f3e9fd9a 282157630429075679 {}\n",
"3 17303653825 fd10dce9-07e4-4d64-82e8-8fcbf8f31034 282157630429075679 {}\n",
"4 17302879652 023bbb97-083d-494d-9494-36d058ffae29 282157630429075679 {}\n",
"5 16996446977 e10887a3-76bf-42aa-a811-25088b1d79aa 282157630429075679 {}\n",
"6 16994705957 0cec8436-4f77-47e4-9508-679f0c2406ac 282157630429075679 {}\n",
"7 16933822395 33a69cf3-4f2b-4ae4-9cac-3e0457123c4d 282157630429075679 {}\n",
"8 16930092257 0304c3ea-144e-4f84-95fe-43673236fe30 282157630429075679 {}\n",
"9 16915905225 4af82b6e-1332-4da6-b670-19b1efc166d1 282157630429075679 {}\n",
"10 16852019940 e8b68546-047f-4415-8128-edeb52f40d15 282157630429075679 {}\n",
"11 17740277532 1f9cb008-ca89-488b-a89b-46eee0b78e49 282157630429075679 {}\n",
"12 17427694630 49559027-4171-41b4-8486-b830406b9ede 282157630429075679 {}\n",
"13 15900217658 b8b6eaeb-4c1b-436e-8b9e-6b3750655990 282157630429075679 {}\n",
"14 15974267517 1bc88ddb-ff12-450d-a899-88484b772dc5 282157630429075679 {}\n",
"15 15899392845 4307cbd6-78dd-46b6-88a3-3f3816dad709 282157630429075679 {}\n"
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
"\n",
"\n",
"\"\"\" 处理流程开始 \"\"\"\n",
"# [正式]续约服务流程 —— 修改续约负责人 再进行转交 \n",
"FORMID = \"FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Downloads\\[流程]续约服务流程_20230925091347.xlsx',sheet_name='Sheet10',dtype='string')\n",
"for i in range(len(df)):\n",
" try:\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'修成ID']\n",
"\n",
" \"\"\" 函数功能：获取流程表单的审批记录 --F6客户服务 应用 \"\"\"\n",
" appType = \"APP_UYZ0KG6L0CCNV80GZ66O\"\n",
" systemToken = \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\"\n",
" userId = \"yida_pub_account\"\n",
"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/processes/operationRecords?appType={appType}&systemToken={systemToken}&userId={userId}&language=zh_CN&processInstanceId={a}'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
"\n",
" res = requests.get(api, headers=headers)\n",
" res_new = res.json()\n",
" records_new = res_new.get('result')\n",
"\n",
" records_new = [item for item in records_new if item.get('type') == \"TODO\"]\n",
" showName_new = records_new[0].get('operatorName')\n",
"\n",
" records_new = [item for item in records_new if item.get('type') == \"TODO\"]\n",
" taskId = records_new[0].get('taskId')\n",
" if showName_new != \"宋明刚\":\n",
" taskId = str(int(taskId) + 1)\n",
" \"\"\" 函数功能：转交审批节点 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/tasks/redirect'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
" payload = {\n",
" \"processInstanceId\" : a,\n",
" \"byManager\" : \"y\",\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"language\": \"zh_CN\",\n",
" \"remark\" : \"转交(接口自动)\",\n",
" \"nowActionExecutorId\" : b,\n",
" \"userId\" : \"2268275546837446\",\n",
" \"taskId\" : int(taskId)\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=payload)\n",
" print(i,taskId,a,b,res.text)\n",
" except:\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'result': [{'processInstanceId': 'ee006cce-c0a2-41f0-882f-af5eff86ddd2',\n",
" 'operateTimeGMT': '2023-08-13T11:39Z',\n",
" 'showName': '提交申请',\n",
" 'operateType': 'NEW_PROCESS',\n",
" 'remark': '',\n",
" 'taskHoldTimeGMT': 0,\n",
" 'type': 'HISTORY',\n",
" 'operatorName': '乔程',\n",
" 'actionExit': 'submit',\n",
" 'operatorUserId': '0627252740652855',\n",
" 'activityId': 'sid-restartevent',\n",
" 'size': 1,\n",
" 'dataId': 15892090696,\n",
" 'operatorDisplayName': '乔程',\n",
" 'action': '提交申请',\n",
" 'taskId': 'null',\n",
" 'operatorPhotoUrl': 'https://static.dingtalk.com/media/lADPDgtYyVBUByDNAzzNAzw_828_828.jpg'},\n",
" {'processInstanceId': 'ee006cce-c0a2-41f0-882f-af5eff86ddd2',\n",
" 'operateTimeGMT': '2023-08-13T17:29Z',\n",
" 'showName': '120天联系情况',\n",
" 'operateType': 'EXECUTE_TASK_NORMAL',\n",
" 'remark': '同意(接口自动)',\n",
" 'taskHoldTimeGMT': 0,\n",
" 'type': 'HISTORY',\n",
" 'operatorName': '刘光春',\n",
" 'actionExit': 'agree',\n",
" 'operatorUserId': '171128505620867604',\n",
" 'activityId': 'sid-6470221a-82ec-4bdd-a873-245ee47a5605',\n",
" 'size': 1,\n",
" 'dataId': 15899426168,\n",
" 'operatorDisplayName': '刘光春',\n",
" 'action': '提交',\n",
" 'taskId': '15892127405',\n",
" 'operatorPhotoUrl': 'https://static.dingtalk.com/media/lADPDg7mQWbRJtbNAiPNAiM_547_547.jpg'},\n",
" {'processInstanceId': 'ee006cce-c0a2-41f0-882f-af5eff86ddd2',\n",
" 'operateTimeGMT': '2023-08-13T17:29Z',\n",
" 'showName': '90天联系情况',\n",
" 'operateType': 'EXECUTE_TASK_NORMAL',\n",
" 'remark': '同意(接口自动)',\n",
" 'taskHoldTimeGMT': 0,\n",
" 'type': 'HISTORY',\n",
" 'operatorName': '刘光春',\n",
" 'actionExit': 'agree',\n",
" 'operatorUserId': '171128505620867604',\n",
" 'activityId': 'sid-0dbe4ebe-ed56-e68d-9288-57e11e27fba2',\n",
" 'size': 1,\n",
" 'dataId': 15899348774,\n",
" 'operatorDisplayName': '刘光春',\n",
" 'action': '提交',\n",
" 'taskId': '15899426172',\n",
" 'operatorPhotoUrl': 'https://static.dingtalk.com/media/lADPDg7mQWbRJtbNAiPNAiM_547_547.jpg'},\n",
" {'processInstanceId': 'ee006cce-c0a2-41f0-882f-af5eff86ddd2',\n",
" 'operateTimeGMT': '2023-08-13T17:29Z',\n",
" 'showName': '60天联系情况',\n",
" 'operateType': 'EXECUTE_TASK_NORMAL',\n",
" 'remark': '同意(接口自动)',\n",
" 'taskHoldTimeGMT': 0,\n",
" 'type': 'HISTORY',\n",
" 'operatorName': '刘光春',\n",
" 'actionExit': 'agree',\n",
" 'operatorUserId': '171128505620867604',\n",
" 'activityId': 'sid-ab6374fd-7580-66d5-1628-6b0666bb38ff',\n",
" 'size': 1,\n",
" 'dataId': 15899422196,\n",
" 'operatorDisplayName': '刘光春',\n",
" 'action': '提交',\n",
" 'taskId': '15899348778',\n",
" 'operatorPhotoUrl': 'https://static.dingtalk.com/media/lADPDg7mQWbRJtbNAiPNAiM_547_547.jpg'},\n",
" {'processInstanceId': 'ee006cce-c0a2-41f0-882f-af5eff86ddd2',\n",
" 'showName': '30天联系情况',\n",
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"[{'processInstanceId': 'ee006cce-c0a2-41f0-882f-af5eff86ddd2',\n",
" 'operateTimeGMT': '2023-08-13T11:39Z',\n",
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]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
"\n",
"\n",
"\"\"\" 处理流程开始 \"\"\"\n",
"# [正式]续约服务流程 —— 修改续约负责人 再进行转交 \n",
"FORMID = \"FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\新建XLS 工作表 (2).xls',sheet_name='120.90.60',dtype='string')\n",
"for i in range(len(df)):\n",
" try:\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'修成ID']\n",
" taskId = df.loc[i,'任务id']\n",
"\n",
" \"\"\" 函数功能：转交审批节点 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/tasks/redirect'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
" payload = {\n",
" \"processInstanceId\" : a,\n",
" \"byManager\" : \"y\",\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"language\": \"zh_CN\",\n",
" \"remark\" : \"转交(接口自动)\",\n",
" \"nowActionExecutorId\" : b,\n",
" \"userId\" : \"2268275546837446\",\n",
" \"taskId\" : int(taskId)\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=payload)\n",
" print(i,taskId,a,b,res.text)\n",
" except:\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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},
{
"ename": "IndexError",
"evalue": "index 2 is out of bounds for axis 0 with size 2",
"output_type": "error",
"traceback": [
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"\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-2-833c0019ba63>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 72\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 73\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 74\u001b[1;33m \u001b[1;32mif\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m!=\u001b[0m\u001b[1;34m\"\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 75\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 76\u001b[0m \u001b[0mform_data_ngv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mread_instances_ngv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtoken\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTOKEN\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformUuid\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"FORM-ZK866D91O9LA4NIHCARG2DPIPCXF3Z087PPHL91\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpage\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m100\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msearchField\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m{\u001b[0m\u001b[1;34m'textField_zc1iowp'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 1094\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1095\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_is_scalar_access\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1096\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_takeable\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1097\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1098\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_get_value\u001b[1;34m(self, index, col, takeable)\u001b[0m\n\u001b[0;32m 3875\u001b[0m \"\"\"\n\u001b[0;32m 3876\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3877\u001b[1;33m \u001b[0mseries\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_ixs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcol\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3878\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mseries\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3879\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_ixs\u001b[1;34m(self, i, axis)\u001b[0m\n\u001b[0;32m 3662\u001b[0m \u001b[1;31m# icol\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3663\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3664\u001b[1;33m \u001b[0mlabel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3665\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3666\u001b[0m \u001b[0mcol_mgr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_mgr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 5172\u001b[0m \u001b[1;31m# GH#44051 exclude bool, which would return a 2d ndarray\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5173\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcast_scalar_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5174\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mgetitem\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 5175\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5176\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mIndexError\u001b[0m: index 2 is out of bounds for axis 0 with size 2"
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"def read_instances_ngv(token, formUuid, page, n,searchField):\n",
" \"\"\" 函数功能：读取普通表单的所有数据 \"\"\"\n",
"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" formData = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"yida_pub_account\",\n",
" \"language\" : \"zh_CN\",\n",
" \"formUuid\" : formUuid,\n",
" \"searchFieldJson\": json.dumps(searchField),\n",
" \"currentPage\" : page,\n",
" \"pageSize\" : n\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=formData)\n",
" return res.json()\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"date_format = \"%Y-%m-%dT%H:%MZ\"\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\新建XLS 工作表 (2).xls',sheet_name='Sheet1',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for a in range(1,20):\n",
" for i in range(1,len(df)):\n",
" if df.iloc[i,a] !=\"\":\n",
" try:\n",
" form_data_ngv = read_instances_ngv(token=TOKEN, formUuid=\"FORM-ZK866D91O9LA4NIHCARG2DPIPCXF3Z087PPHL91\", page=1, n=100, searchField={'textField_zc1iowp': df.iloc[i,a]})\n",
" editorField_lodoplg0 = [\"root\",{},[\"p\",{},[\"span\",{\"data-type\":\"text\"},[\"span\",{\"data-type\":\"leaf\"},\"\"]],[\"a\",{\"href\":\"https://f6car.aliwork.com/APP_UYZ0KG6L0CCNV80GZ66O/formDetail/FORM-ZK866D91O9LA4NIHCARG2DPIPCXF3Z087PPHL91?formInstId=\"+form_data_ngv['data'][0]['formInstanceId']+\"&isAdmin=true\"},[\"span\",{\"data-type\":\"text\"},[\"span\",{\"unlink\":{},\"data-type\":\"leaf\"},\"点击查看门店NGV\"]]],[\"span\",{\"data-type\":\"text\"},[\"span\",{\"unlink\":{},\"data-type\":\"leaf\"},\"\"]]]] # 富文本 超链接 NGV\n",
" except:\n",
" pass\n",
" data_new = {\n",
" df.iloc[0,a]:editorField_lodoplg0\n",
" }\n",
" \"\"\" 函数功能：更新表单内容 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"2268275546837446\", # 曹伟 id\n",
" \"language\" : \"zh_CN\",\n",
" \"useLatestVersion\" : \"false\",\n",
" \"formInstanceId\" : df.loc[i,'实例ID'],\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(df.loc[i,'实例ID'],data_new,res.json())"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n",
"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\.libs\\libopenblas.EL2C6PLE4ZYW3ECEVIV3OXXGRN2NRFM2.gfortran-win_amd64.dll\n",
"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\numpy\\.libs\\libopenblas64__v0.3.21-gcc_10_3_0.dll\n",
" warnings.warn(\"loaded more than 1 DLL from .libs:\"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"e453fa00-ab34-4f19-b18f-aa99fbb443b4 {'employeeField_la80kj0k': '053058624933600294'} {}\n",
"c6ee826d-3e1e-4c24-b235-397f909bd6dc {'employeeField_la80kj0k': '270469440926165461'} {}\n",
"e731c812-5152-4fd8-9637-da2b465fbf82 {'employeeField_la80kj0k': '053058624933600294'} {}\n",
"6cc1ead6-f51f-42cc-bc8f-01c5ca7ccbf3 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"437faf35-6004-446c-b8d8-27e09fa17fdb {'employeeField_la80kj0k': '270469440926165461'} {}\n",
"b5c3022b-bda6-4caa-ae39-78da62bf2d98 {'employeeField_la80kj0k': '270469440926165461'} {}\n",
"5d8efef0-1335-46cc-b7e2-a4fd2c2f5664 {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"3c0565db-4ed2-4ad5-82fb-8c1600376319 {'employeeField_la80kj0k': '053058624933600294'} {}\n",
"c2a66329-45a3-4c5e-a204-7b009f96d597 {'employeeField_la80kj0k': '053058624933600294'} {}\n",
"55def82e-1892-4c21-a776-af4cb5408981 {'employeeField_la80kj0k': '053058624933600294'} {}\n",
"fc77a257-4812-4147-bf7b-9b161456de58 {'employeeField_la80kj0k': '270469440926165461'} {}\n",
"96134586-5655-4461-800b-392c3b058294 {'employeeField_la80kj0k': '270469440926165461'} {}\n",
"0baf96a6-563d-4901-81c0-8f5bd62c9d33 {'employeeField_la80kj0k': '053058624933600294'} {}\n",
"29cdb5fa-08c4-463c-8a20-ecb2cadb7db0 {'employeeField_la80kj0k': '270469440926165461'} {}\n",
"9baf7d14-30d6-44a8-9c8d-3efb54984599 {'employeeField_la80kj0k': '270469440926165461'} {}\n",
"c31317d8-6e28-4032-acff-464ace1fdb9d {'employeeField_la80kj0k': '0142616466211051049'} {}\n",
"8db50bbc-b2f4-4160-8e64-1d0e459751c9 {'employeeField_la80kj0k': '270469440926165461'} {}\n",
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]
},
{
"ename": "IndexError",
"evalue": "index 4 is out of bounds for axis 0 with size 4",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-1-1bf543a9b49c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 51\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 52\u001b[1;33m \u001b[1;32mif\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m!=\u001b[0m\u001b[1;34m\"\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 53\u001b[0m data_new = {\n\u001b[0;32m 54\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 1094\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1095\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_is_scalar_access\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1096\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_takeable\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1097\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1098\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_get_value\u001b[1;34m(self, index, col, takeable)\u001b[0m\n\u001b[0;32m 3875\u001b[0m \"\"\"\n\u001b[0;32m 3876\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3877\u001b[1;33m \u001b[0mseries\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_ixs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcol\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3878\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mseries\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3879\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_ixs\u001b[1;34m(self, i, axis)\u001b[0m\n\u001b[0;32m 3662\u001b[0m \u001b[1;31m# icol\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3663\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3664\u001b[1;33m \u001b[0mlabel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3665\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3666\u001b[0m \u001b[0mcol_mgr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_mgr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 5172\u001b[0m \u001b[1;31m# GH#44051 exclude bool, which would return a 2d ndarray\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5173\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcast_scalar_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5174\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mgetitem\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 5175\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5176\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mIndexError\u001b[0m: index 4 is out of bounds for axis 0 with size 4"
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"date_format = \"%Y-%m-%dT%H:%MZ\"\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\新签节点化服务待办调整0227.xlsx',sheet_name='Sheet2',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for a in range(1,20):\n",
" for i in range(1,len(df)):\n",
" if df.iloc[i,a] !=\"\":\n",
" data_new = {\n",
" df.iloc[0,a]:df.iloc[i,a]\n",
" }\n",
" \"\"\" 函数功能：更新表单内容 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"2268275546837446\", # 曹伟 id\n",
" \"language\" : \"zh_CN\",\n",
" \"useLatestVersion\" : \"false\",\n",
" \"formInstanceId\" : df.loc[i,'实例ID'],\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(df.loc[i,'实例ID'],data_new,res.json())"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"date_format = \"%Y-%m-%dT%H:%MZ\"\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Downloads\\NGV明细_20231108140239.xlsx',sheet_name='Sheet1',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for i in range(0,len(df)):\n",
" \"\"\" 逐条删除表单实例 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances?appType=APP_UYZ0KG6L0CCNV80GZ66O&systemToken=XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2&userId=yida_pub_account&language=zh_CN&formInstanceId={df.loc[i,\"实例ID\"]}'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
" res = requests.delete(api, headers=headers)\n",
" print(df.loc[i,'实例ID'],res.json())"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"date_format = \"%Y-%m-%dT%H:%MZ\"\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Downloads\\[流程]续约服务流程_20231109093843.xlsx',sheet_name='Sheet1',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for a in range(1,20):\n",
" for i in range(1,len(df)):\n",
" if df.iloc[i,a] !=\"\":\n",
" data_new = {\n",
" df.iloc[0,a]:\"\"\n",
" }\n",
" \"\"\" 函数功能：更新表单内容 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"2268275546837446\", # 曹伟 id\n",
" \"language\" : \"zh_CN\",\n",
" \"useLatestVersion\" : \"false\",\n",
" \"formInstanceId\" : df.loc[i,'实例ID'],\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(df.loc[i,'实例ID'],data_new,res.json())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 删除"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"db6c6f72-6d58-411b-a509-ad8e1648e129 {}\n"
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"date_format = \"%Y-%m-%dT%H:%MZ\"\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\Administrator.DESKTOP-7IC2USJ\\Downloads\\(流程)续约服务流程_2刷数据5(1).xlsx',sheet_name='demo',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for i in range(0,len(df)):\n",
"\n",
" api = f'https://api.dingtalk.com///v1.0/yida/forms/instances?appType=APP_UYZ0KG6L0CCNV80GZ66O&systemToken=XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2&userId=2268275546837446&language=zh_CN&formInstanceId='+df.loc[i,'实例ID']\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
"\n",
"\n",
" res = requests.delete(api, headers=headers)\n",
" print(df.loc[i,'实例ID'],res.json())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 同意"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"ename": "",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m运行具有“F6processing (Python 3.9.4)”的单元格需要ipykernel包。\n",
"\u001b[1;31m运行以下命令，将 \"ipykernel\" 安装到 Python 环境中。\n",
"\u001b[1;31m命令: \"conda install -n F6processing ipykernel --update-deps --force-reinstall\""
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
"\n",
"def aggree_approval(token: str, taskId: str, processInstanceId: str):\n",
" \"\"\" 函数功能：同意审批节点 --F6客户服务 应用 \"\"\"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/tasks/execute'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
" payload = {\n",
" \"outResult\": \"AGREE\",\n",
" \"appType\": \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\": \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"remark\": \"同意\",\n",
" \"processInstanceId\": processInstanceId,\n",
" # \"userId\": \"yida_pub_account\",\n",
" \"userId\": \"2268275546837446\", # 曹伟 id\n",
" \"language\": \"zh_CN\",\n",
" \"taskId\": int(taskId)\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=payload)\n",
" print(res.text)\n",
" return res\n",
"def get_approval_records(token: str, processInstanceId: str):\n",
" \"\"\" 函数功能：获取流程表单的审批记录 --F6客户服务 应用 \"\"\"\n",
" appType = \"APP_UYZ0KG6L0CCNV80GZ66O\"\n",
" systemToken = \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\"\n",
" userId = \"yida_pub_account\"\n",
"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/processes/operationRecords?appType={appType}&systemToken={systemToken}&userId={userId}&language=zh_CN&processInstanceId={processInstanceId}'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" res = requests.get(api, headers=headers)\n",
" # print(res.text)\n",
" return res.json()\n",
"\"\"\" 处理流程开始 \"\"\"\n",
"# —— 修改续约负责人 再进行转交 \n",
"FORMID = \"FORM-9X766NA1SOATBRSH2K42D8BJCX7L326HI64TKG5\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\111111111[流程]新签服务45流程_20240111144441.xlsx',sheet_name='Sheet3',dtype='string')\n",
"for i in range(len(df)):\n",
" processInstanceId = df.loc[i,'实例ID']\n",
"\n",
" res_new = get_approval_records(token=TOKEN, processInstanceId=processInstanceId)\n",
" records_new = res_new.get('result')\n",
" # 获取 \"校验文件是否符合\" 审批节点的 taskId\n",
"\n",
" records_new = [item for item in records_new if item.get('type') == \"TODO\"]\n",
" taskId = records_new[0].get('taskId')\n",
" print(TOKEN,taskId,processInstanceId)\n",
" aggree_approval(token=TOKEN,taskId=taskId,processInstanceId=processInstanceId)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 1 1da7c6f2-7a72-4e62-a362-7e6158dcaf93 {'employeeField_lho9zttv': '195159084238961158'} {}\n"
]
},
{
"ename": "IndexError",
"evalue": "index 2 is out of bounds for axis 0 with size 2",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-2-5c9e89092784>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 51\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 52\u001b[1;33m \u001b[1;32mif\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m!=\u001b[0m\u001b[1;34m\"\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 53\u001b[0m data_new = {\n\u001b[0;32m 54\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 1094\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1095\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_is_scalar_access\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1096\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_takeable\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1097\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1098\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_get_value\u001b[1;34m(self, index, col, takeable)\u001b[0m\n\u001b[0;32m 3875\u001b[0m \"\"\"\n\u001b[0;32m 3876\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3877\u001b[1;33m \u001b[0mseries\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_ixs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcol\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3878\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mseries\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3879\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m_ixs\u001b[1;34m(self, i, axis)\u001b[0m\n\u001b[0;32m 3662\u001b[0m \u001b[1;31m# icol\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3663\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3664\u001b[1;33m \u001b[0mlabel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3665\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3666\u001b[0m \u001b[0mcol_mgr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_mgr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 5172\u001b[0m \u001b[1;31m# GH#44051 exclude bool, which would return a 2d ndarray\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5173\u001b[0m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcast_scalar_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5174\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mgetitem\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 5175\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5176\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mIndexError\u001b[0m: index 2 is out of bounds for axis 0 with size 2"
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"date_format = \"%Y-%m-%dT%H:%MZ\"\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Downloads\\[表单]大客户日常回访_20240327172101 (1).xlsx',sheet_name='Sheet1',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for a in range(1,20):\n",
" for i in range(1,len(df)):\n",
" if df.iloc[i,a] !=\"\":\n",
" data_new = {\n",
" df.iloc[0,a]:df.iloc[i,a]\n",
" }\n",
" \"\"\" 函数功能：更新表单内容 \"\"\"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"yida_pub_account\", # 曹伟 id\n",
" \"language\" : \"zh_CN\",\n",
" \"useLatestVersion\" : \"false\",\n",
" \"formInstanceId\" : df.loc[i,'实例ID'],\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(a,i,df.loc[i,'实例ID'],data_new,res.json())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 新签节点化自动同意"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"68bbe831-5b54-42d1-b563-4f530289f54c {}\n",
"576fbfde-db0a-40c5-9529-c54fb89844d6 {}\n",
"00ebcaf3-7689-4d33-938d-92e7a2d89462 {}\n",
"ac8959eb-3ed5-455f-bdce-b63612f9f669 {}\n"
]
}
],
"source": [
"# 基础信息\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"import sys\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from datetime import date, timedelta\n",
"import datetime\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"\n",
"def read_processes_instances(token, formUuid, page, n):\n",
" \"\"\" 函数功能：读取流程表单的所有数据 \"\"\"\n",
"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/processes/instances?pageNumber={page}&pageSize={n}'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" formData = {\n",
" \"appType\": \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\": \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\": \"yida_pub_account\", # 超级管理员账号\n",
" \"language\": \"zh_CN\",\n",
" \"formUuid\": formUuid,\n",
" # \"searchFieldJson\": json.dumps(searchField), # 如果增加上这一项会要求升级宜搭存储\n",
" \"instanceStatus\": \"RUNNING\" # 运行中\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=formData)\n",
" return res.json()\n",
"\n",
"def read_processes(token, formUuid, page, n):\n",
" \"\"\" 函数功能：读取普通表单的所有数据 \"\"\"\n",
"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" formData = {\n",
" \"appType\": \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\": \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\": \"yida_pub_account\", # 超级管理员账号\n",
" \"language\": \"zh_CN\",\n",
" \"formUuid\": formUuid,\n",
" 'currentPage':page,\n",
" 'pageSize':n\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=formData)\n",
" return res.json()\n",
"\n",
"def get_approval_records(token: str, processInstanceId: str):\n",
" \"\"\" 函数功能：获取流程表单的审批记录 --F6客户服务 应用 \"\"\"\n",
" appType = \"APP_UYZ0KG6L0CCNV80GZ66O\"\n",
" systemToken = \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\"\n",
" userId = \"yida_pub_account\"\n",
"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/processes/operationRecords?appType={appType}&systemToken={systemToken}&userId={userId}&language=zh_CN&processInstanceId={processInstanceId}'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" res = requests.get(api, headers=headers)\n",
" # print('获取流程表单的审批记录')\n",
" return res.json()\n",
"def get_staffID(TOKEN: str,ALL_DATA_staff,staff_name):\n",
" res_new = [v['formData']['textField_lfrw3u59'] for v in ALL_DATA_staff if v['formData']['textField_lfrw3u58']== staff_name]\n",
" # print('通过员工名称获取员工id')\n",
" return res_new\n",
"\n",
"def aggree_approval(token: str, taskId: str, processInstanceId: str, formData: dict,res_new):\n",
" \"\"\" 函数功能：同意审批节点 --F6客户服务 应用 \"\"\"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/tasks/execute'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" payload = {\n",
" \"outResult\": \"AGREE\",\n",
" \"appType\": \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\": \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"remark\": \"同意(接口自动)\",\n",
" \"formDataJson\": json.dumps(formData, cls=NpEncoder),\n",
" \"processInstanceId\": processInstanceId,\n",
" # \"userId\": \"yida_pub_account\",\n",
" \"userId\": res_new, \n",
" \"language\": \"zh_CN\",\n",
" \"taskId\": int(taskId)\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=payload)\n",
" # print('同意审批节点')\n",
" return res\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
"\n",
"\"\"\" 处理流程开始 \"\"\"\n",
"TOKEN = generateToken()\n",
"FORMID = \"FORM-L89662816B04LXH893M4K50Q7MIZ1SVQI08ALU2\" # 读取新签节点化服务待办\n",
"\n",
"\n",
"# 读取员工对应关系：宜搭员工-ID对应表\n",
"FORMID_two = \"FORM-EA866E715PF9YA7ECCAGSABX91Q72PVA3WRFL6\" # 宜搭员工-ID对应表 FORM-EA866E715PF9YA7ECCAGSABX91Q72PVA3WRFL6\n",
"# 读取新签节点化服务待办流程表单数据\n",
"form_data_two = read_processes(token=TOKEN, formUuid=FORMID_two, page=1, n=100)\n",
"PAGES_two = form_data_two.get('totalCount')//100 + 1\n",
"ALL_DATA_staff = []\n",
"\"\"\" 获取员工全量数据 \"\"\"\n",
"for i in range(1, PAGES_two+1):\n",
" # form_data = read_processes_instances(token=TOKEN, formUuid=FORMID, createFromTimeGMT=CREATE_FROM, createToTimeGMT=CREATE_TO, page=i, n=100, searchField={'textField_l7if5ff9': '否'})\n",
" form_data_two = read_processes(token=TOKEN, formUuid=FORMID_two, page=i, n=100)\n",
" for data in form_data_two.get('data'):\n",
" ALL_DATA_staff.append(data)\n",
"\"\"\" 获取全量数据 \"\"\"\n",
"ceshi_data = pd.read_excel(r\"C:\\Users\\admin\\Desktop\\2024-6回访（客服）准备导入.xlsx\",sheet_name='Sheet3')\n",
"for i in range(0, len(ceshi_data)):\n",
" try:\n",
" # 获取当前所处节点\n",
" res_new = get_approval_records(token=TOKEN, processInstanceId=ceshi_data.loc[i,'实例ID'])\n",
" records_new = res_new.get('result')\n",
" # 获取审批节点的 taskId\n",
" records_new = [item for item in records_new if item.get('type') == \"TODO\"]\n",
" taskId_new = records_new[0].get('taskId')\n",
"\n",
" data_new = {}\n",
" res=aggree_approval(token=TOKEN, taskId=taskId_new, processInstanceId=ceshi_data.loc[i,'实例ID'], formData=data_new,res_new =get_staffID(TOKEN,ALL_DATA_staff,records_new[0]['operatorName'])[0] ) # get_staffID(TOKEN,ALL_DATA_staff,records_new[0]['operatorName'])[0]\n",
" print(ceshi_data.loc[i,'实例ID'],res.json())\n",
" except:\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 7243d433-ceeb-4067-aefb-b8d02043ce13\n",
"2 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ e6160d56-8836-4492-a27a-081560c0d0c8\n",
"3 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 8f37b1d1-cf35-4ed0-9c0e-7e30513f5f20\n",
"4 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 3bea84ae-b5a1-4a80-a4a9-59641e1b334d\n",
"5 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 4fb52b7d-cc30-4a88-9efe-43eff97fcafe\n",
"6 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ c03e22d5-03f6-46d4-af9d-be6afee4d50e\n",
"7 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 75d8062d-a867-4b9c-84b6-11f0a235c805\n",
"8 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ b5093c3d-1066-47ae-a5f2-eaed3e237cde\n",
"9 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ ea1c0dd7-32ee-4975-837c-68ee294a002a\n",
"10 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 46e51eb6-a98c-4614-8838-3ef8d35c8e24\n",
"11 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ d05b44d1-66d1-457a-8669-3b95a2b1aff3\n",
"12 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 3d39d677-d2b6-4e78-9e2f-0db0aca97cf7\n",
"13 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 99a4b0c3-cdf5-43e5-bf92-f22273f65c52\n",
"14 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 86f19fd5-2e61-4078-8b86-f4d819dd1c76\n",
"15 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ ffc05f89-0f63-4ba4-9838-615641b6f3d5\n",
"16 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ ddb781c8-5ce7-464b-b5ee-77f8a8d0073e\n",
"17 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ c791f0bf-c5c8-4176-b46c-6ae64c7483a4\n",
"18 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ f7f49ca4-273e-4307-a2a7-119ade7bdb23\n",
"19 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ eaf7a65e-0045-4963-9a6f-8ae01b20a0ae\n",
"20 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ 3c3742a7-60d1-4d37-8ff7-80557d38eaad\n",
"21 @ 第一步： {'traceId': None, 'success': True, 'throwable': None, 'errorCode': None, 'content': None, 'errorMsg': None} @ b7d5938e-09c8-410e-8536-884b0badf21f\n"
]
}
],
"source": [
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"headers_on = {\n",
" \"Accept\": \"application/json, text/json\",\n",
" \"Accept-Encoding\": \"gzip, deflate, br\",\n",
" \"Accept-Language\": \"zh-CN,zh;q=0.9,en;q=0.8,zh-TW;q=0.7\",\n",
" \"Bx-V\": \"2.2.3\",\n",
" \"Cache-Control\": \"no-cache\",\n",
" \"Content-Length\": \"247\",\n",
" \"Content-Type\": \"application/x-www-form-urlencoded\",\n",
" \"Cookie\": \"cna=/rsGGCJMiRICAd3ikLSdYaLe; x-hng=lang=zh-CN; arms_uid=70685bd3-30ff-4af5-aabe-0cdd9ee3155f; xlly_s=1; corp_id=dinga88e3d35525b86ca; account=oauth_k1%3Ab%2BAtDqYwWDofgeLNyluhziukYU0vSl5Ne2d2V4l7OGPJ%2F3uiTeXBJGoEkxrQUouqDBAxwCPTkbM%2BQoMvqaE9NKy%2BUlhfcaLmlheDyqjN7rM%3D; login_type=514E440D8469FCA0F295D0E60E2491CD; tianshu_corp_id=dinga88e3d35525b86ca; corp_industry_info=%7B%22hasIndustryAddressBook%22%3Afalse%2C%22industryType%22%3A%22INDUSTRY_GENERAL%22%7D; yida_user_cookie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tianshu_user_identity=%7B%22inIndustry%22%3Afalse%2C%22innerCorp%22%3Atrue%2C%22userIdentitySet%22%3A%5B%22CORP_INNER%22%5D%7D; tianshu_corp_user=dinga88e3d35525b86ca_2268275546837446; tianshu_csrf_token=bfd9a681-c8a6-4598-b4c6-82cd2a979f92; c_csrf=bfd9a681-c8a6-4598-b4c6-82cd2a979f92; tianshu_app_type=APP_UYZ0KG6L0CCNV80GZ66O; due=BF67507217B92DE228242C2B7B8C9F5F7A4F0B78C5DDF185B5805367BEE00650; JSESSIONID=F6E05684F494BBD2F6BE85A68985BD74; tfstk=f1lt08qoWHxikZvm1V9noLG6NEThMf3Z8cu5ioqGhDnK2zcM7-0bMEnizl4mjqZxDDqe5oP2_6AnBrNZbriqRkljttSbGfJhdzhUfF-qSIHYAbqauVus-6PZtAf0jhPxl0Vvq3AkZVuaTStkq8JIxRNakGa11iVIRzAX-3iJZVuNRNIXrvOlHt25PfZjcRwCArEQlOwjcWsQkk1_l1afAeU4AoNbCS1BOrzVGta_CbHeDk__msHAzqvKqeLV11GLRnrxWCf4Rb4OLu3Qvs1j9_yTVVZdG3Da5ZEYYbtHp2o-Cc4EDQKLNYoKM8Nv6gztd4FQj79Rp53nbbFswhCg-WrgFxwp5CgL6lezJ8ODb5HjbjeZBZ8rR5iEUuy6LHzKsb2Y4JIBf20Lf8HxjH5bjY3Iv8chx_VSUDhYF7szYbcJ7fIu2rX6JeBV3Ra30U37-dzjoK4LqFdA3tye8sXticWV3J43JuY9ztW4LjC..; isg=BAEBZZyAA8YYpm9y0u54hUuiEE0bLnUggTHQfmNXWohkSiocrngw8EYMLL4Mpg1Y\",\n",
" \"Origin\": \"https://f6car.aliwork.com\",\n",
" \"Pragma\": \"no-cache\",\n",
" \"Referer\": \"https://f6car.aliwork.com/APP_UYZ0KG6L0CCNV80GZ66O/admin/FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22?activeTabKey=manage\",\n",
" \"Sec-Ch-Ua\": '\"Not A(Brand\";v=\"99\", \"Google Chrome\";v=\"121\", \"Chromium\";v=\"121\"',\n",
" \"Sec-Ch-Ua-Mobile\": \"?0\",\n",
" \"Sec-Ch-Ua-Platform\": '\"Windows\"',\n",
" \"Sec-Fetch-Dest\": \"empty\",\n",
" \"Sec-Fetch-Mode\": \"cors\",\n",
" \"Sec-Fetch-Site\": \"same-origin\",\n",
" \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36\",\n",
" \"X-Requested-With\": \"XMLHttpRequest\"\n",
"}\n",
"\n",
"data_list = [\n",
" {\n",
" \"actiName\": \"30天联系情况\",\n",
" \"actiId\": \"sid-e5928800-154e-4e20-6019-1364274afc49\"\n",
" },\n",
" {\n",
" \"actiName\": \"60天联系情况\",\n",
" \"actiId\": \"sid-ab6374fd-7580-66d5-1628-6b0666bb38ff\"\n",
" },\n",
" {\n",
" \"actiName\": \"0天处理情况\",\n",
" \"actiId\": \"sid-ba12125f-bc3a-2663-ebf0-43b5aeb8c32c\"\n",
" },\n",
" {\n",
" \"actiName\": \"120天联系情况\",\n",
" \"actiId\": \"sid-6470221a-82ec-4bdd-a873-245ee47a5605\"\n",
" },\n",
" {\n",
" \"actiName\": \"90天联系情况\",\n",
" \"actiId\": \"sid-0dbe4ebe-ed56-e68d-9288-57e11e27fba2\"\n",
" }\n",
"]\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"def aggree_approval(token: str, taskId: str, processInstanceId: str,res_new):\n",
" \"\"\" 函数功能：同意审批节点 --F6客户服务 应用 \"\"\"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/tasks/execute'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
" payload = {\n",
" \"outResult\": \"AGREE\",\n",
" \"appType\": \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\": \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"remark\": \"同意(接口自动)\",\n",
" \"processInstanceId\": processInstanceId,\n",
" # \"userId\": \"yida_pub_account\",\n",
" \"userId\": res_new, # 曹伟 id\n",
" \"language\": \"zh_CN\",\n",
" \"taskId\": int(taskId)\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=payload)\n",
" return res\n",
"def get_approval_records(token: str, processInstanceId: str):\n",
" \"\"\" 函数功能：获取流程表单的审批记录 --F6客户服务 应用 \"\"\"\n",
" appType = \"APP_UYZ0KG6L0CCNV80GZ66O\"\n",
" systemToken = \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\"\n",
" userId = \"yida_pub_account\"\n",
"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/processes/operationRecords?appType={appType}&systemToken={systemToken}&userId={userId}&language=zh_CN&processInstanceId={processInstanceId}'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" res = requests.get(api, headers=headers)\n",
" # print(res.text)\n",
" return res.json()\n",
"\n",
"def read_processes(token, formUuid, page, n):\n",
" \"\"\" 函数功能：读取普通表单的所有数据 \"\"\"\n",
"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" formData = {\n",
" \"appType\": \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\": \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\": \"yida_pub_account\", # 超级管理员账号\n",
" \"language\": \"zh_CN\",\n",
" \"formUuid\": formUuid,\n",
" 'currentPage':page,\n",
" 'pageSize':n\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=formData)\n",
" return res.json()\n",
"\n",
"def get_staffID(TOKEN: str,ALL_DATA_staff,staff_name):\n",
" res_new = [v['formData']['textField_lfrw3u59'] for v in ALL_DATA_staff if v['formData']['textField_lfrw3u58']== staff_name]\n",
" # print('通过员工名称获取员工id')\n",
" return res_new\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"\"\"\" 通过员工名称获取员工id\"\"\"\n",
"# 读取员工对应关系：宜搭员工-ID对应表\n",
"FORMID_two = \"FORM-EA866E715PF9YA7ECCAGSABX91Q72PVA3WRFL6\" # 宜搭员工-ID对应表 FORM-EA866E715PF9YA7ECCAGSABX91Q72PVA3WRFL6\n",
"# 读取流程表单数据\n",
"form_data_two = read_processes(token=TOKEN, formUuid=FORMID_two, page=1, n=100)\n",
"PAGES_two = form_data_two.get('totalCount')//100 + 1\n",
"\n",
"ALL_DATA_staff = []\n",
"\"\"\" 获取员工全量数据 \"\"\"\n",
"for i in range(1, PAGES_two+1):\n",
" # form_data = read_processes_instances(token=TOKEN, formUuid=FORMID, createFromTimeGMT=CREATE_FROM, createToTimeGMT=CREATE_TO, page=i, n=100, searchField={'textField_l7if5ff9': '否'})\n",
" form_data_two = read_processes(token=TOKEN, formUuid=FORMID_two, page=i, n=100)\n",
" for data in form_data_two.get('data'):\n",
" ALL_DATA_staff.append(data)\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\0715黄环宇调整-(流程)续约服务流程_20240715160015.xlsx',sheet_name='Sheet4',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for i in range(1,len(df)):\n",
" try:\n",
" id = df.loc[i,'实例ID']\n",
" name = df.loc[i,'当前审批节点']\n",
" name_on = df.loc[i,'上一级审批节点']\n",
"\n",
" for item in data_list:\n",
" if item[\"actiName\"] == name:\n",
" actiId_name = item[\"actiId\"]\n",
" break\n",
" for item in data_list:\n",
" if item[\"actiName\"] == name_on:\n",
" actiId_name_on = item[\"actiId\"]\n",
" break\n",
"\n",
" # 跳转上一节点\n",
" api = f'https://f6car.aliwork.com/dingtalk/web/APP_UYZ0KG6L0CCNV80GZ66O/query/process/redirectProcessInstance.json?_api=DataManage.redirect&_mock=false&_stamp=1718941136791'\n",
" payload = {\n",
" \"_csrf_token\" : \"bfd9a681-c8a6-4598-b4c6-82cd2a979f92\",\n",
" \"_locale_time_zone_offset\" : \"28800000\",\n",
" \"procInstId\" : id,\n",
" \"currentActivityId\" : actiId_name, # 当前活动ID\n",
" \"targetActivityId\" : actiId_name_on # 目标活动ID\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers_on,data =payload)\n",
" res_new = res.json()\n",
" print(i,\"@\",\"第一步：\",res_new,\"@\",id)\n",
" # 同意\n",
" processInstanceId = df.loc[i,'实例ID']\n",
"\n",
" res_new = get_approval_records(token=TOKEN, processInstanceId=processInstanceId)\n",
" records_new = res_new.get('result')\n",
" # 获取 \"校验文件是否符合\" 审批节点的 taskId\n",
"\n",
" records_new = [item for item in records_new if item.get('type') == \"TODO\"]\n",
" taskId = records_new[0].get('taskId')\n",
" res=aggree_approval(token=TOKEN, taskId=taskId_new, processInstanceId=ceshi_data.loc[i,'实例ID'], formData=data_new,res_new =get_staffID(TOKEN,ALL_DATA_staff,records_new[0]['operatorName'])[0] )\n",
" res_new = res.json()\n",
" print(i,\"@\",\"第二步：\",res_new,\"@\",processInstanceId)\n",
" except:\n",
" print(\"错误：\",df.loc[i,'实例ID'])"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'success': False,\n",
" 'errorCode': 'TIANSHU_000030',\n",
" 'content': {},\n",
" 'errorMsg': 'csrf校验失败'}"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"res_new"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'180720602439816818'"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_staffID(TOKEN,ALL_DATA_staff,records_new[0]['operatorName'])[0]"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'黄宗祥'"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"records_new[0]['operatorName']"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 @ 第二步： {} @ 75b2429b-20f4-452f-a3d6-52b8fd54d7c2\n",
"2 @ 第二步： {} @ 64f42d2d-3125-41dd-89ab-0d9ef7e5862f\n",
"3 @ 第二步： {} @ 29ec41f3-47ad-4651-a0e7-dde0f4d3bb5e\n",
"4 @ 第二步： {} @ 9e7842de-b650-4ae2-b1bb-95c54e66556b\n",
"5 @ 第二步： {} @ 77bb0a4c-cae3-45ac-81da-16a2d3829393\n",
"6 @ 第二步： {'requestid': 'DF34D657-9B2A-7438-BF86-3334A221A41D', 'code': 'innerError', 'message': '宜搭服务内部异常信息:当前登录人4260292805654001既不是任务33'} @ 1a514478-07c0-459d-91c4-5fcda670c8eb\n",
"7 @ 第二步： {} @ e63b966f-fb5b-45e5-984c-07695fd1e742\n",
"8 @ 第二步： {} @ 31469dcf-54e2-428f-9193-219c0a70909d\n",
"9 @ 第二步： {} @ e36790be-6179-425b-8298-e64f8fcf7c4a\n",
"10 @ 第二步： {} @ 14e9b3ff-8120-4545-b770-719d328c1c60\n",
"11 @ 第二步： {} @ 5e30385b-95f3-4735-abf3-3794f57c786c\n",
"12 @ 第二步： {} @ cc8c02e1-89da-46fa-8d27-737de9a6d8a0\n",
"13 @ 第二步： {} @ 24407198-0037-4e88-850d-3f0a278fbf01\n",
"14 @ 第二步： {} @ 197ed04d-73d9-424f-841c-0a9b69c02b1b\n",
"15 @ 第二步： {} @ 00a1ddc1-36fa-4779-ac95-2964a8b7c59f\n",
"16 @ 第二步： {} @ 24e505b2-3a6f-4d16-9b24-93349d802e80\n",
"17 @ 第二步： {} @ 1b85cfa0-e0ab-4650-b0e9-66dce3e0674d\n",
"18 @ 第二步： {} @ ea9b3c83-114e-40b6-b636-4e5045aef5cf\n",
"19 @ 第二步： {} @ 15d57577-ea4e-475f-b34b-328d1a3e5f52\n",
"20 @ 第二步： {} @ fa5f2383-7444-4051-b5e9-c9d902f124f0\n",
"21 @ 第二步： {} @ 473f8d21-656c-463b-af97-97f9abacb47a\n",
"22 @ 第二步： {} @ e43c5747-9d86-4b4b-aa62-1b62518b21f3\n",
"23 @ 第二步： {} @ 46e51eb6-a98c-4614-8838-3ef8d35c8e24\n",
"24 @ 第二步： {} @ cf099e22-91bd-445d-b08d-27e91f2c3ae8\n",
"25 @ 第二步： {} @ 6dda388b-bd09-42e7-bc25-844819f46037\n",
"26 @ 第二步： {} @ 689cc675-f5f7-44b0-8f51-d2041e3d0672\n",
"27 @ 第二步： {} @ b765932d-50c0-4df4-bed7-bbf098c21812\n",
"28 @ 第二步： {} @ 6b7828a5-1e70-452a-aeb1-3498a86f6fac\n",
"29 @ 第二步： {} @ 721024b9-eb73-43d5-ba9b-1095013b6841\n",
"30 @ 第二步： {} @ 26163eab-e6f7-4e7c-bc01-57bbd0acc1a5\n",
"31 @ 第二步： {} @ e66c50d6-0283-42fb-bfb6-825d61b84fcd\n",
"32 @ 第二步： {} @ d8a8bf37-74e8-4f8b-8457-e57ee1911ac2\n",
"33 @ 第二步： {} @ 1556071e-7a45-4bde-9187-1cff72d5dfdb\n",
"34 @ 第二步： {} @ e309c125-4c2e-4c7c-aab5-6cd55f348e93\n",
"35 @ 第二步： {} @ 99a4b0c3-cdf5-43e5-bf92-f22273f65c52\n",
"36 @ 第二步： {} @ c28dac49-84ba-43be-913e-cba1db15fea6\n",
"37 @ 第二步： {} @ ee405079-4a29-499a-ba4d-457fcf310b9f\n",
"38 @ 第二步： {} @ bd38ecc3-7725-434c-a4a7-dc1c01f6576a\n",
"39 @ 第二步： {} @ b2e1b50c-a4b6-4843-8082-4ea223fe48aa\n",
"40 @ 第二步： {} @ b580aed6-803b-455a-a571-4201c8b100fc\n",
"41 @ 第二步： {} @ db7f26c8-0afd-48b9-97bf-ea9466e33346\n"
]
}
],
"source": [
"\n",
"import pandas as pd\n",
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import time\n",
"import re\n",
"from datetime import datetime\n",
"from dateutil.relativedelta import relativedelta\n",
"from pathlib import Path\n",
"from urllib.parse import quote\n",
"from io import BytesIO\n",
"\n",
"ROOT = Path('.').absolute() # 当前工作目录\n",
"\n",
"headers_on = {\n",
" \"Accept\": \"application/json, text/json\",\n",
" \"Accept-Encoding\": \"gzip, deflate, br\",\n",
" \"Accept-Language\": \"zh-CN,zh;q=0.9,en;q=0.8,zh-TW;q=0.7\",\n",
" \"Bx-V\": \"2.2.3\",\n",
" \"Cache-Control\": \"no-cache\",\n",
" \"Content-Length\": \"247\",\n",
" \"Content-Type\": \"application/x-www-form-urlencoded\",\n",
" \"Cookie\": \"cna=/rsGGCJMiRICAd3ikLSdYaLe; x-hng=lang=zh-CN; arms_uid=70685bd3-30ff-4af5-aabe-0cdd9ee3155f; xlly_s=1; corp_id=dinga88e3d35525b86ca; account=oauth_k1%3AblKy7D%2B3iUZW5aQ2pe2E7Ud4t%2B%2B7TYEqCLDK1oaZ0Kh9EM04LgdZaXLgw%2BpZe9qeHWan7JVyQ2HekGFeYsmyL5xzAl2pZeDZHG%2BNNJJ1QKQ%3D; login_type=514E440D8469FCA0F295D0E60E2491CD; tianshu_corp_id=dinga88e3d35525b86ca; corp_industry_info=%7B%22hasIndustryAddressBook%22%3Afalse%2C%22industryType%22%3A%22INDUSTRY_GENERAL%22%7D; yida_user_cookie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tianshu_user_identity=%7B%22inIndustry%22%3Afalse%2C%22innerCorp%22%3Atrue%2C%22userIdentitySet%22%3A%5B%22CORP_INNER%22%5D%7D; tianshu_corp_user=dinga88e3d35525b86ca_2268275546837446; tianshu_csrf_token=940fab75-2ae9-4f25-acd2-c83f1fd71d26; c_csrf=940fab75-2ae9-4f25-acd2-c83f1fd71d26; tianshu_app_type=APP_TNVBVZ3K8G56HG03Z45Q; due=81098BD6FF7CCD11DDA9DC751522D8E85518E548438778207536376B8CBAFECE; JSESSIONID=05B88962C9719C2953FE03BF177606DD; tfstk=fX3Z0y188FLZczm0LJa4UtV89vUTOzpWnqwbijc01R2MMS24ujyB6ri15xrmIJg_CfagJXixvZEYMnjBAS0OnAFgi6BLMSCAo5qtLrk-LfZbSIDLA2wFkq3qMZPmixdThCKI6fUYoL9S3UGt6wMy6Bg4mX43ZXjGm-bzujPYoL9WRM13XdamcZwIrJl3pSPcIlDcxJVuKSjgox23x7V5Ir4mnXAUi7FGIRqc-JVzGbIrsjbUNlAoo1ErfdsYf8cgIfGs-nZAXYyURy0z_lzjsiQco2PabqMQKR2Ufmc82VG2uwUsaD43gqdl0-rrmVanSpYuvo0nKWD6GiFE0j08WlCAkYzZ3u0gYsbYSrmT8W0kGgeI8RMm7kA5zoanPu4iAHp_cPPrnVHNgZDoObgTvqJPK-n_wyVqkQj43ojyhtFnUq0xbtj4jWFUFBRhhM7ONz5N2fsADk48T8O_1ijceuNUFCd1DiE3gWyW1af..; isg=BLS03pnfbpM5Cfo9_-3lku7xhXImjdh3C0u_ck4Qaz-8uUkDdppJBV4_OdFhJRDP\",\n",
" \"Origin\": \"https://f6car.aliwork.com\",\n",
" \"Pragma\": \"no-cache\",\n",
" \"Referer\": \"https://f6car.aliwork.com/APP_UYZ0KG6L0CCNV80GZ66O/admin/FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22?activeTabKey=manage\",\n",
" \"Sec-Ch-Ua\": '\"Not A(Brand\";v=\"99\", \"Google Chrome\";v=\"121\", \"Chromium\";v=\"121\"',\n",
" \"Sec-Ch-Ua-Mobile\": \"?0\",\n",
" \"Sec-Ch-Ua-Platform\": '\"Windows\"',\n",
" \"Sec-Fetch-Dest\": \"empty\",\n",
" \"Sec-Fetch-Mode\": \"cors\",\n",
" \"Sec-Fetch-Site\": \"same-origin\",\n",
" \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36\",\n",
" \"X-Requested-With\": \"XMLHttpRequest\"\n",
"}\n",
"\n",
"data_list = [\n",
" {\n",
" \"actiName\": \"30天联系情况\",\n",
" \"actiId\": \"sid-e5928800-154e-4e20-6019-1364274afc49\"\n",
" },\n",
" {\n",
" \"actiName\": \"60天联系情况\",\n",
" \"actiId\": \"sid-ab6374fd-7580-66d5-1628-6b0666bb38ff\"\n",
" },\n",
" {\n",
" \"actiName\": \"0天处理情况\",\n",
" \"actiId\": \"sid-ba12125f-bc3a-2663-ebf0-43b5aeb8c32c\"\n",
" },\n",
" {\n",
" \"actiName\": \"120天联系情况\",\n",
" \"actiId\": \"sid-6470221a-82ec-4bdd-a873-245ee47a5605\"\n",
" },\n",
" {\n",
" \"actiName\": \"90天联系情况\",\n",
" \"actiId\": \"sid-0dbe4ebe-ed56-e68d-9288-57e11e27fba2\"\n",
" }\n",
"]\n",
"\n",
"# 生成 token，参数不需要修改\n",
"def generateToken() -> str:\n",
" \"\"\" 生成 token \"\"\"\n",
"\n",
" token_api = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'\n",
"\n",
" # 该信息在钉钉开放应用中\n",
" data = {\n",
" \"appKey\": \"ding5kqocon5s9oph5uq\",\n",
" \"appSecret\": 'HL1jgsIIfLAC0eTH0A1m4mwxUDqbgsiPeCCGGE3ocM6qJBTIW7Ivt9drxF_Z4Kb_'\n",
" }\n",
"\n",
" res = requests.post(token_api, json=data)\n",
" token = res.json()['accessToken']\n",
"\n",
" return token\n",
"def aggree_approval(token: str, taskId: str, processInstanceId: str,res_new):\n",
" \"\"\" 函数功能：同意审批节点 --F6客户服务 应用 \"\"\"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/tasks/execute'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
" payload = {\n",
" \"outResult\": \"AGREE\",\n",
" \"appType\": \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\": \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"remark\": \"同意(接口自动)\",\n",
" \"processInstanceId\": processInstanceId,\n",
" # \"userId\": \"yida_pub_account\",\n",
" \"userId\": res_new, # 曹伟 id\n",
" \"language\": \"zh_CN\",\n",
" \"taskId\": int(taskId)\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=payload)\n",
" return res\n",
"def get_approval_records(token: str, processInstanceId: str):\n",
" \"\"\" 函数功能：获取流程表单的审批记录 --F6客户服务 应用 \"\"\"\n",
" appType = \"APP_UYZ0KG6L0CCNV80GZ66O\"\n",
" systemToken = \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\"\n",
" userId = \"yida_pub_account\"\n",
"\n",
" api = f'https://api.dingtalk.com/v1.0/yida/processes/operationRecords?appType={appType}&systemToken={systemToken}&userId={userId}&language=zh_CN&processInstanceId={processInstanceId}'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" res = requests.get(api, headers=headers)\n",
" # print(res.text)\n",
" return res.json()\n",
"\n",
"def read_processes(token, formUuid, page, n):\n",
" \"\"\" 函数功能：读取普通表单的所有数据 \"\"\"\n",
"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": token\n",
" }\n",
"\n",
" formData = {\n",
" \"appType\": \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\": \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\": \"yida_pub_account\", # 超级管理员账号\n",
" \"language\": \"zh_CN\",\n",
" \"formUuid\": formUuid,\n",
" 'currentPage':page,\n",
" 'pageSize':n\n",
" }\n",
"\n",
" res = requests.post(api, headers=headers, json=formData)\n",
" return res.json()\n",
"\n",
"def get_staffID(TOKEN: str,ALL_DATA_staff,staff_name):\n",
" res_new = [v['formData']['textField_lfrw3u59'] for v in ALL_DATA_staff if v['formData']['textField_lfrw3u58']== staff_name]\n",
" # print('通过员工名称获取员工id')\n",
" return res_new\n",
"\n",
"class NpEncoder(json.JSONEncoder):\n",
" def default(self, obj):\n",
" if isinstance(obj, np.integer):\n",
" return int(obj)\n",
" elif isinstance(obj, np.floating):\n",
" return float(obj)\n",
" elif isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" else:\n",
" return super(NpEncoder, self).default(obj)\n",
" \n",
"TOKEN = generateToken()\n",
"\"\"\" 通过员工名称获取员工id\"\"\"\n",
"# 读取员工对应关系：宜搭员工-ID对应表\n",
"FORMID_two = \"FORM-EA866E715PF9YA7ECCAGSABX91Q72PVA3WRFL6\" # 宜搭员工-ID对应表 FORM-EA866E715PF9YA7ECCAGSABX91Q72PVA3WRFL6\n",
"# 读取流程表单数据\n",
"form_data_two = read_processes(token=TOKEN, formUuid=FORMID_two, page=1, n=100)\n",
"PAGES_two = form_data_two.get('totalCount')//100 + 1\n",
"\n",
"ALL_DATA_staff = []\n",
"\"\"\" 获取员工全量数据 \"\"\"\n",
"for i in range(1, PAGES_two+1):\n",
" # form_data = read_processes_instances(token=TOKEN, formUuid=FORMID, createFromTimeGMT=CREATE_FROM, createToTimeGMT=CREATE_TO, page=i, n=100, searchField={'textField_l7if5ff9': '否'})\n",
" form_data_two = read_processes(token=TOKEN, formUuid=FORMID_two, page=i, n=100)\n",
" for data in form_data_two.get('data'):\n",
" ALL_DATA_staff.append(data)# 同意\n",
"import datetime\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\续约待办调整250620.xlsx',sheet_name='Sheet14',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for i in range(1,len(df)):\n",
" id = df.loc[i,'实例ID']\n",
" processInstanceId = df.loc[i,'实例ID']\n",
"\n",
" res_new = get_approval_records(token=TOKEN, processInstanceId=processInstanceId)\n",
" records_new = res_new.get('result')\n",
" # 获取 \"校验文件是否符合\" 审批节点的 taskId\n",
"\n",
" records_new = [item for item in records_new if item.get('type') == \"TODO\"]\n",
" taskId = records_new[0].get('taskId')\n",
" res = aggree_approval(token=TOKEN,taskId=taskId,processInstanceId=processInstanceId,res_new =\"4260292805654001\")\n",
" res_new = res.json()\n",
" print(i,\"@\",\"第二步：\",res_new,\"@\",processInstanceId)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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