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F6--/其它系统脚本/侯斌宜搭修改并转交.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": [
"# 搭建成员修改、内容字段修改的功能"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"'''\n",
"每10分钟读取一次宜搭表单中的“”表单，查看表单中状态是否为启用\n",
"启用时读取按钮唯一\n",
"'''"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"转交"
]
},
{
"cell_type": "code",
"execution_count": 3,
"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",
"\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\\修改明细表_V2_20230420163324.xlsx',sheet_name='数据',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"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"同意/提交"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"793ec3dbd71839748210d680be8022df 7133331808 13c3e1d6-2abd-4749-a66d-d8680454a24a\n",
"{\"requestid\":\"7AB3A2DB-EE26-7329-AE5E-B5EAA7E4A860\",\"code\":\"unclassifiedError\",\"message\":\"宜搭未分类的异常信息:在classpath*:eframework/exception/eframework-exception-*-zh-CN.properties中找不到TIANSHU_V10001对应的值\"}\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",
"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(接口自动)\",\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",
"# [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_20230104164606 (1).xlsx',sheet_name='数据',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": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'processInstanceId': '624c2036-823f-407e-bf9d-184eacb70fa7',\n",
" 'showName': '120天联系情况',\n",
" 'taskHoldTimeGMT': 96512543,\n",
" 'type': 'TODO',\n",
" 'operatorName': '马兴',\n",
" 'actionExit': 'doing',\n",
" 'operatorUserId': '10366439691246344',\n",
" 'activityId': 'sid-6470221a-82ec-4bdd-a873-245ee47a5605',\n",
" 'taskType': 'COMMON_ALL_AT_ONCE',\n",
" 'size': 1,\n",
" 'operatorDisplayName': '马兴',\n",
" 'activeTimeGMT': '2023-01-03T14:11Z',\n",
" 'taskId': '7118277069',\n",
" 'operatorPhotoUrl': '//img.alicdn.com/tfs/TB1mKVJSpXXXXcwaXXXXXXXXXXX-78-80.jpg'}]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"records_new"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"修改技术专家"
]
},
{
"cell_type": "code",
"execution_count": 6,
"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",
"\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\\[流程]续约服务流程_20230307174119.xlsx',sheet_name='Sheet1',dtype='string')\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'是否联系上客户']\n",
"\n",
" \"\"\" 通过实例id 获取表单内容 \"\"\"\n",
"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/{a}?appType=APP_UYZ0KG6L0CCNV80GZ66O&systemToken=XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2&userId=2268275546837446&language=zh_CN'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"language\": \"zh_CN\",\n",
" \"userId\" : \"2268275546837446\",\n",
" }\n",
" # \n",
" res = requests.get(api, headers=headers)\n",
" res_new = res.json()\n",
" data_new = {\n",
" 'radioField_ksydghrf':b\n",
" }\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\" : a,\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(a,b,res.text)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"修改区域客服"
]
},
{
"cell_type": "code",
"execution_count": 2,
"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",
"\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\\修改明细表_V2_20230420163324.xlsx',sheet_name='数据',dtype='string')\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'区域客服—修正']\n",
" data_new = {\n",
" 'employeeField_ksydght0':[b]\n",
" }\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\" : a,\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(a,b,res.text)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"修改到期前30天联系情况"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0 {} fc92af39-961a-4970-96bf-f01eb144314a nan nan 否 nan nan nan\n",
"1 {} 5478bf83-e7db-41d6-9807-734ee8f8f119 nan nan nan nan nan nan\n",
"2 {} 29450507-9844-46ee-bdc5-b8bc681afef5 已联系，应该该连锁之前两年价格走的特殊申请，除主店之外其他分店的版本和价格比较统一，提前续约的价格优惠客户有也不太同意，最后应该也会走上年价格续约，并且今年疫情原因，门店想系统快到期的时候连锁这几个店统一续约。 nan 是 nan nan nan\n",
"3 {} f715dcf5-5f51-40d2-be0f-3f540eac9e6d nan nan nan nan nan nan\n",
"4 {} b3349b32-7de5-43d8-857f-2389b77ab307 沟通客户同意续约 nan 是 nan nan nan\n",
"5 {} ab710c65-4f5a-43b6-9f2f-b238857675d7 未接通电话 nan 不确定 nan nan nan\n",
"6 {} a183de8a-0fb3-432c-b51b-9a1f74fec542 nan nan nan nan nan nan\n",
"7 {} 0fb8fd23-4109-4f2d-81b4-56345deffdf6 ；续约 nan 是 nan nan nan\n",
"8 {} 0799228b-8586-4f82-a483-b72fb0cd01e8 nan nan nan nan nan nan\n",
"9 {} 027185ae-90ae-48e6-b77b-6118b92e9a33 会续约 nan 是 nan nan nan\n",
"10 {} 6111e89e-a403-40f0-8ccf-3fd2c3350a21 nan nan nan nan nan nan\n",
"11 {} 04d4ac9c-2e0a-4caa-b381-8ba6ad205b74 nan nan nan nan nan nan\n",
"12 {} 1a8090d5-e9a7-49d2-9850-9cf700ecdd29 正常续约 nan 是 nan nan nan\n",
"13 {} ae03fbd4-97e8-4724-94c0-9c54edc23633 到期续费 nan 是 nan nan nan\n",
"14 {} 4a4cf3be-1033-4a80-b0fd-9c89e8b865fa 到期前正常续约 nan 是 nan nan nan\n",
"15 {} c3b23458-5424-4df8-95d2-ac6c9aced233 系统使用正常，暂时不考虑提前续约，因为之前介绍过客户，答应有赠送月份的 nan 是 nan nan nan\n",
"16 {} abd1c8c2-5bae-4c48-9519-773d66048179 nan nan nan nan nan nan\n",
"17 {} b222bc0c-e994-404a-82c3-83529cf0d555 nan nan nan nan nan nan\n",
"18 {} 984d4c70-80dd-4933-9a9d-09874e2a76bd nan nan nan nan nan nan\n",
"19 {} 12777b42-feed-475f-a7fc-1b024da4a5ce nan nan nan nan nan nan\n",
"20 {} 3db9cd3f-818d-4d0d-91db-28fbbdd5b21b 已跟进 nan 是 nan nan nan\n",
"21 {} e3abc6b0-579d-4099-bb3c-e7f79b989618 nan nan nan nan nan nan\n",
"22 {} ba919538-9451-4805-ac9c-3a1831f99d9f 原先G客户转非G,因为当地疫情，门店暂时没营业，使用暂时没什么问题，不考虑提前续约，疫情到时候再说 nan 是 nan nan nan\n",
"23 {} 8bf86240-2f57-480a-8ab7-d87e9cdd4d27 nan nan nan nan nan nan\n",
"24 {} c68799e0-d154-42d3-9ec8-6057c018735d nan nan nan nan nan nan\n",
"25 {} ccb62120-30bf-4695-9d49-4129aa344dc7 到期续 nan 是 nan nan nan\n",
"26 {} c7167467-2857-4aba-8f9f-47d5f8e4342a 到期续 nan 是 nan nan nan\n",
"27 {} 44fa7b1a-2e6e-4c81-95ce-b06789dbdd9a nan nan nan nan nan nan\n",
"28 {} f0e75edb-c249-4d8a-b27c-7fa6018c6024 nan nan nan nan nan nan\n",
"29 {} c7e815f2-1925-4045-8b3e-3caccf4e9557 nan nan nan nan nan nan\n",
"30 {} 59cc31bf-5425-4efe-afb9-89fa08f624d5 续费 nan 是 nan nan nan\n",
"31 {} 6848c660-da21-4473-960a-6bf9ecd4a87e nan nan nan nan nan nan\n",
"32 {} a84e7c35-624b-44b6-9e0a-7874b123a59a 系统未到期 nan 是 nan nan nan\n",
"33 {} 8d232e19-efaf-4540-b18a-1096a9890ded nan nan nan nan nan nan\n",
"34 {} cd0fb0be-d15f-4f7c-b341-e244030251a0 nan nan nan nan nan nan\n",
"35 {} a3ce29f3-2f4a-4c51-857a-bf8345d43a6b nan nan nan nan nan nan\n",
"36 {} 5c331634-d35d-4382-813c-34341827f34c nan nan nan nan nan nan\n",
"37 {} 511c87e0-c8af-41c8-9680-76539a9fe0bd nan nan nan nan nan nan\n",
"38 {} b04670cd-ec22-446a-aee7-7007a92192fd nan nan nan nan nan nan\n",
"39 {} eb4d84ef-c38e-4b98-9661-e5d81dfea663 到期续费 nan 是 nan nan nan\n",
"40 {} d46d56f3-e09d-408b-8ee0-98769ea16453 nan nan nan nan nan nan\n",
"41 {} a1b0e316-9b98-406c-ab7d-20cc9eae8758 续费 nan 是 nan nan nan\n",
"42 {} f14dc104-4044-4554-a47a-f837fd8dd6d7 nan nan nan nan nan nan\n",
"43 {} 9637a60f-9b2f-4445-a6a9-04d42997db09 nan nan nan nan nan nan\n",
"44 {} dc8bb9fb-da93-41cf-b659-86f266d1c20f nan nan nan nan nan nan\n",
"45 {} 98591952-5ef9-4470-8ac0-b61bfc25ced1 nan nan nan nan nan nan\n",
"46 {} 401d0aca-0be5-4a24-ab51-5f68e4c66f62 nan nan nan nan nan nan\n",
"47 {} cef43774-c694-4479-b33c-d2b235ced55d nan nan nan nan nan nan\n",
"48 {} d1efa941-e233-4c50-88b7-0aa3e0269191 nan nan nan nan nan nan\n",
"49 {} 61c88c94-20a6-4707-a338-1e709b1a7c96 nan nan nan nan nan nan\n",
"50 {} 74eaab59-b2d4-4a65-bcfb-ca5b71e7e649 无 nan 不确定 nan nan nan\n",
"51 {} 5b3fd4c0-025b-4c86-bf6a-fc48ce186a26 nan nan nan nan nan nan\n",
"52 {} 252e8021-68ba-4e31-8865-8ee9ab92e83e nan nan nan nan nan nan\n",
"53 {'requestid': '6C058D80-9D2E-757E-ACDC-C08D31EE477C', 'code': 'innerError', 'message': '宜搭服务内部异常信息:参数校验失败日期组件值的格式错误'} f29bd835-b0b0-46cb-bc5e-5e75b0992be0 客户加盟京东养车 nan 不确定 nan nan 1672070400000.0\n",
"54 {} 60dbf739-3cff-4b8e-8fa7-9582ffe7b70e nan nan nan nan nan nan\n",
"55 {} 6b7dd6d5-f65b-4f91-80ec-778e65ecd025 到期当月续费 nan 是 nan nan nan\n",
"56 {} 74f257d9-9e8c-4b00-9026-4c868a877749 nan nan nan nan nan nan\n",
"57 {} bf916dd9-190d-4c8f-90cd-3c31fc50eb12 到期当月续费 nan 是 nan nan nan\n",
"58 {} 554906a8-0795-4bb2-bce2-dcb81add2119 nan nan nan nan nan nan\n",
"59 {} 3bc9f771-637c-40b1-b219-bb57826e3e8d nan nan nan nan nan nan\n",
"60 {} 43a7a9a2-4b4e-4cb6-a658-8eb3abc41412 会续约 nan 是 nan nan nan\n",
"61 {} f5f2149c-ae60-42b4-ba46-2a40558485c8 nan nan nan nan nan nan\n",
"62 {} 0837c781-b942-40c0-be23-f36236beec1f nan nan nan nan nan nan\n",
"63 {} a81bd70a-16d6-4199-8ce2-a7fcac11e59e nan nan nan nan nan nan\n",
"64 {} b903a070-fd31-4174-98ff-f81a4a7e0c65 nan nan nan nan nan nan\n",
"65 {} d409c97c-9cca-477f-8dd7-50c8161aba73 nan nan nan nan nan nan\n",
"66 {} 35d27c07-9660-4d7a-a5c3-97bf1244fddf 沟通客户系统daoq,客户同意合作 nan 是 nan nan nan\n",
"67 {} 187ef389-2172-4dd6-97ce-bc4df89bdd30 nan nan nan nan nan nan\n",
"68 {} 099fb25f-2bb9-4399-80dd-d881abd74b85 nan nan nan nan nan nan\n",
"69 {} a012ef8e-0f5b-43ca-85a9-f81887603bb2 nan nan nan nan nan nan\n",
"70 {} 008cc5ac-4b1c-420a-ba8b-54866d873c43 续费 nan 是 nan nan nan\n",
"71 {} 39a5075d-4c0d-4a14-8b8a-40e7fd4905e6 nan nan nan nan nan nan\n",
"72 {} 9e473076-12bf-4f29-8804-c3709552db43 无 nan 是 nan nan nan\n",
"73 {} 9dceef93-4ba7-4544-a7ce-826ce07b933f nan nan nan nan nan nan\n",
"74 {} 7d97d99b-15f9-4d43-b8ce-2724ac9d1218 nan nan nan nan nan nan\n",
"75 {} fd551ae0-2d43-4e6c-a267-00c704c17205 nan nan nan nan nan nan\n",
"76 {} a2641de2-0d2f-4473-a57e-5ee9c58117d6 nan nan nan nan nan nan\n",
"77 {} 757319d1-45ed-4bbd-8719-fdf3b75f9ef6 nan nan nan nan nan nan\n",
"78 {} 54bb9f70-007a-46b3-8d40-09b0938271bb nan nan nan nan nan nan\n",
"79 {} 71bf1fdb-cfb8-409b-82bd-f7bce8ddc54f nan nan nan nan nan nan\n",
"80 {} 47b6dd28-e0de-4896-87ef-ae19d478552f 降级标准版续费 nan 是 nan nan nan\n",
"81 {} 96973e62-44fc-4c12-92f6-e3d025c8a750 nan nan nan nan nan nan\n",
"82 {} 1bcd7bbe-f450-44e7-ac6a-12a2c57137fb 到期当月续费 nan 是 nan nan nan\n",
"83 {} ac8cc2eb-ebe0-461a-bf0a-4cdaeec5de36 nan nan nan nan nan nan\n",
"84 {} b58bb38b-7356-469e-82fd-b97cbe5b8cd8 nan nan nan nan nan nan\n",
"85 {} b1b2d961-de3e-476b-991a-418a1b5d3ccb 续费 nan 是 nan nan nan\n",
"86 {} 6c042314-d25a-4f22-b644-f3b62c645673 nan nan nan nan nan nan\n",
"87 {} 49ab3a43-989b-4d79-8a58-f976359a44cc nan nan nan nan nan nan\n",
"88 {} e761ba12-d084-4282-9c4f-939478fef5ac nan nan nan nan nan nan\n",
"89 {} 0dd4a29b-28eb-421b-8ef7-e98d30da092a nan nan nan nan nan nan\n",
"90 {} 5a58f06e-ad85-48c0-99e8-7e9a88c295ad 到期续费 nan 是 nan nan nan\n",
"91 {} e5e14d75-5c41-4f9a-94a3-8d6716ba3456 正常续费 nan 是 nan nan nan\n",
"92 {} f429a169-f8c4-4ce9-bbf7-87835154c3a7 nan nan nan nan nan nan\n",
"93 {} dab7531e-5294-48a0-aedf-ae02d31b2bdd 到期续费 nan 是 nan nan nan\n",
"94 {} b809ec27-ffd8-4244-a4e0-0a5a74855c13 nan nan nan nan nan nan\n",
"95 {} 4be8c41c-d41a-4b29-b4a0-072ac8ccc3c2 正常续约 nan 是 nan nan nan\n",
"96 {} 029f00ee-cc69-4c9b-bda0-c9f8300b1921 到期续费 nan 是 nan nan nan\n",
"97 {} 2fbb4648-c1f4-456a-baec-60b04a469f3e nan nan nan nan nan nan\n",
"98 {} 389c872d-20ae-4b23-a897-57573bb7e70a 续费 nan 是 nan nan nan\n",
"99 {} 5423efac-5c0f-4471-ae64-8d99a8bb5a8e nan nan nan nan nan nan\n",
"100 {} ff365487-80b5-442e-a518-34015a9621fb nan nan nan nan nan nan\n",
"101 {} fff91d29-5a03-4cb0-9c77-f55a70899168 正常续约 nan 是 nan nan nan\n",
"102 {} 5ba28272-7e6f-46f6-93f2-5ea31815e331 nan nan nan nan nan nan\n",
"103 {} 4e83b937-7ea5-4363-8eb7-fc36e46001a9 nan nan nan nan nan nan\n",
"104 {} e76c6345-282e-42c2-b692-8e7a3a89d688 等等 nan 是 nan nan nan\n"
]
}
],
"source": [
"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-UP96637151Q3XIFU9NNW9BKFUVHU2XWN0EF9L84\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\缺失待办明细.xlsx',sheet_name='Sheet3')\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'30天不确定原因']\n",
" c = df.loc[i,'30天预计续约时间']\n",
" d = df.loc[i,'30天门店是否愿意续约']\n",
" e = df.loc[i,'30天预计联系时间']\n",
" f = df.loc[i,'30天未联系上原因']\n",
" g = df.loc[i,'30天最近一次联系时间']\n",
" h = df.loc[i,'30天处理人']\n",
"\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",
" data_new= {\n",
" 'textField_kuhnydn7' : b , # '30天不确定原因'\n",
" 'dateField_kuhnydn6' : c , # '30天预计续约时间'\n",
" 'radioField_kuhnydn5' : d , # '30天门店是否愿意续约'\n",
" 'dateField_kuhnydn4' : e , # '30天预计联系时间'\n",
" 'textField_kuhnydn3' : f , # '30天未联系上原因'\n",
" 'radioField_kurxyhvq' : h , # '30天处理人'\n",
" 'dateField_kuhnydn2' : g # '30天最近一次联系时间'\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"2268275546837446\",\n",
" \"language\" : \"zh_CN\",\n",
" \"formInstanceId\" : a,\n",
" \"useLatestVersion\" : 'false',\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder) # json.dumps(data_new, cls=NpEncoder)\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers,json =payload)\n",
" res_new = res.json()\n",
" print(i,res_new,a,b,c,d,e,f,g)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"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-UP96637151Q3XIFU9NNW9BKFUVHU2XWN0EF9L84\"\n",
"TOKEN = generateToken()\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",
"data_new= {\n",
" 'radioField_kurxyhvq' : f , # '30天处理人'\n",
" 'radioField_kuhnydn0' : b , # '30天是否联系上客户'\n",
" 'dateField_kuhnydn2' : e , # '30天最近一次联系时间'\n",
" 'radioField_kuhnydn5' : d , # '30天门店是否愿意续约'\n",
" 'dateField_kuhnydn6' : c , # '30天预计续约时间'\n",
" }\n",
"\n",
"payload = {\n",
" \"appType\" : \"APP_TNVBVZ3K8G56HG03Z45Q\",\n",
" \"systemToken\" : \"CH7669818R0WN18TYTYJ42PE6GY22WZN0BYWKD1\",\n",
" \"userId\" : \"2268275546837446\",\n",
" \"language\" : \"zh_CN\",\n",
" \"formInstanceId\" : a,\n",
" \"useLatestVersion\" : 'false',\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder)\n",
" }\n",
"\n",
"res = requests.put(api, headers=headers,json =payload)\n",
"res_new = res.json()"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"修改不续约原因明细"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0 {} fc92af39-961a-4970-96bf-f01eb144314a 门店原因 加盟天猫养车 停用门店，转天猫\n",
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}
],
"source": [
"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-UP96637151Q3XIFU9NNW9BKFUVHU2XWN0EF9L84\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\缺失待办明细.xlsx',sheet_name='Sheet2',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'门店不续约分类']\n",
" c = df.loc[i,'产品原因']\n",
" d = df.loc[i,'服务问题']\n",
" e = df.loc[i,'门店原因']\n",
" f = df.loc[i,'价格原因']\n",
" g = df.loc[i,'不续约具体情况说明']\n",
"\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",
" data_new= {\n",
" 'radioField_kuhnydn5' : \"否\", # '门店是否愿意续约30天'\n",
" 'radioField_l85ppdie' : \"否\", # '门店是否愿意续约门店联系情况'\n",
" 'selectField_l31clxfy' : b , # '门店不续约分类'\n",
" 'selectField_l31clxfz' : c , # '产品原因'\n",
" 'selectField_l31clxg0' : d , # '服务问题'\n",
" 'selectField_l31clxg1' : e , # '门店原因'\n",
" 'selectField_l31clxg2' : f , # '价格原因'\n",
" 'textareaField_l31clxg4' : g # '不续约具体情况说明'\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"2268275546837446\",\n",
" \"language\" : \"zh_CN\",\n",
" \"formInstanceId\" : a,\n",
" \"useLatestVersion\" : 'false',\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder) #json.dumps(data_new, cls=NpEncoder)\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers,json =payload)\n",
" res_new = res.json()\n",
" print(i,res_new,a,b,c,d,e,f,g)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# 修改门店联系情况"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"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-UP96637151Q3XIFU9NNW9BKFUVHU2XWN0EF9L84\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\(流程)续约服务流程_20221114112248_根据门店编码 修改表单内数据.xlsx',sheet_name='修改门店联系情况',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'是否联系上客户']\n",
" c = df.loc[i,'门店是否愿意续约']\n",
" d = df.loc[i,'联系情况说明']\n",
"\n",
"\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",
" data_new= {\n",
" 'radioField_l85ppdia' : b, # '是否联系上客户'\n",
" 'radioField_l85ppdie' : c, # '门店是否愿意续约'\n",
" 'textField_l85ppdig' : d # '联系情况说明'\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"2268275546837446\",\n",
" \"language\" : \"zh_CN\",\n",
" \"formInstanceId\" : a,\n",
" \"useLatestVersion\" : 'false',\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder) #json.dumps(data_new, cls=NpEncoder)\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers,json =payload)\n",
" res_new = res.json()\n",
" print(i,res_new)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# 修改全配业务跟进情况"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0 {}\n",
"1 {}\n",
"2 {}\n",
"3 {}\n",
"4 {}\n",
"5 {}\n",
"6 {}\n",
"7 {}\n",
"8 {}\n",
"9 {}\n",
"10 {}\n",
"11 {}\n",
"12 {}\n"
]
}
],
"source": [
"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-UP96637151Q3XIFU9NNW9BKFUVHU2XWN0EF9L84\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\(流程)续约服务流程_20221114112248_根据门店编码 修改表单内数据.xlsx',sheet_name='修改全配业务跟进情况',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'是否引导客户在全配中下单']\n",
" c = df.loc[i,'未下单原因']\n",
"\n",
"\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",
" data_new= {\n",
" 'radioField_la7x32mq' : b, # '是否引导客户在全配中下单'\n",
" 'textField_la7x32mp' : c # '未下单原因'\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"2268275546837446\",\n",
" \"language\" : \"zh_CN\",\n",
" \"formInstanceId\" : a,\n",
" \"useLatestVersion\" : 'false',\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder) #json.dumps(data_new, cls=NpEncoder)\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers,json =payload)\n",
" res_new = res.json()\n",
" print(i,res_new)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# 修改门店联系情况"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0 {} fc92af39-961a-4970-96bf-f01eb144314a nan\n",
"1 {} 5478bf83-e7db-41d6-9807-734ee8f8f119 nan\n",
"2 {} 29450507-9844-46ee-bdc5-b8bc681afef5 是\n",
"3 {} f715dcf5-5f51-40d2-be0f-3f540eac9e6d nan\n",
"4 {} b3349b32-7de5-43d8-857f-2389b77ab307 是\n",
"5 {} ab710c65-4f5a-43b6-9f2f-b238857675d7 否\n",
"6 {} a183de8a-0fb3-432c-b51b-9a1f74fec542 nan\n",
"7 {} 0fb8fd23-4109-4f2d-81b4-56345deffdf6 是\n",
"8 {} 0799228b-8586-4f82-a483-b72fb0cd01e8 nan\n",
"9 {} 027185ae-90ae-48e6-b77b-6118b92e9a33 是\n",
"10 {} 6111e89e-a403-40f0-8ccf-3fd2c3350a21 nan\n",
"11 {} 04d4ac9c-2e0a-4caa-b381-8ba6ad205b74 nan\n",
"12 {} 1a8090d5-e9a7-49d2-9850-9cf700ecdd29 是\n",
"13 {} ae03fbd4-97e8-4724-94c0-9c54edc23633 是\n",
"14 {} 4a4cf3be-1033-4a80-b0fd-9c89e8b865fa 是\n",
"15 {} c3b23458-5424-4df8-95d2-ac6c9aced233 是\n",
"16 {} abd1c8c2-5bae-4c48-9519-773d66048179 nan\n",
"17 {} b222bc0c-e994-404a-82c3-83529cf0d555 是\n",
"18 {} 984d4c70-80dd-4933-9a9d-09874e2a76bd nan\n",
"19 {} 12777b42-feed-475f-a7fc-1b024da4a5ce 是\n",
"20 {} 3db9cd3f-818d-4d0d-91db-28fbbdd5b21b 是\n",
"21 {} e3abc6b0-579d-4099-bb3c-e7f79b989618 nan\n",
"22 {} ba919538-9451-4805-ac9c-3a1831f99d9f 是\n",
"23 {} 8bf86240-2f57-480a-8ab7-d87e9cdd4d27 nan\n",
"24 {} c68799e0-d154-42d3-9ec8-6057c018735d 是\n",
"25 {} ccb62120-30bf-4695-9d49-4129aa344dc7 是\n",
"26 {} c7167467-2857-4aba-8f9f-47d5f8e4342a 是\n",
"27 {} 44fa7b1a-2e6e-4c81-95ce-b06789dbdd9a nan\n",
"28 {} f0e75edb-c249-4d8a-b27c-7fa6018c6024 nan\n",
"29 {} c7e815f2-1925-4045-8b3e-3caccf4e9557 nan\n",
"30 {} 59cc31bf-5425-4efe-afb9-89fa08f624d5 是\n",
"31 {} 6848c660-da21-4473-960a-6bf9ecd4a87e nan\n",
"32 {} a84e7c35-624b-44b6-9e0a-7874b123a59a 是\n",
"33 {} 8d232e19-efaf-4540-b18a-1096a9890ded nan\n",
"34 {} cd0fb0be-d15f-4f7c-b341-e244030251a0 nan\n",
"35 {} a3ce29f3-2f4a-4c51-857a-bf8345d43a6b nan\n",
"36 {} 5c331634-d35d-4382-813c-34341827f34c 是\n",
"37 {} 511c87e0-c8af-41c8-9680-76539a9fe0bd nan\n",
"38 {} b04670cd-ec22-446a-aee7-7007a92192fd nan\n",
"39 {} eb4d84ef-c38e-4b98-9661-e5d81dfea663 是\n",
"40 {} d46d56f3-e09d-408b-8ee0-98769ea16453 nan\n",
"41 {} a1b0e316-9b98-406c-ab7d-20cc9eae8758 是\n",
"42 {} f14dc104-4044-4554-a47a-f837fd8dd6d7 nan\n",
"43 {} 9637a60f-9b2f-4445-a6a9-04d42997db09 nan\n",
"44 {} dc8bb9fb-da93-41cf-b659-86f266d1c20f nan\n",
"45 {} 98591952-5ef9-4470-8ac0-b61bfc25ced1 nan\n",
"46 {} 401d0aca-0be5-4a24-ab51-5f68e4c66f62 nan\n",
"47 {} cef43774-c694-4479-b33c-d2b235ced55d nan\n",
"48 {} d1efa941-e233-4c50-88b7-0aa3e0269191 nan\n",
"49 {} 61c88c94-20a6-4707-a338-1e709b1a7c96 nan\n",
"50 {} 74eaab59-b2d4-4a65-bcfb-ca5b71e7e649 是\n",
"51 {} 5b3fd4c0-025b-4c86-bf6a-fc48ce186a26 nan\n",
"52 {} 252e8021-68ba-4e31-8865-8ee9ab92e83e nan\n",
"53 {} f29bd835-b0b0-46cb-bc5e-5e75b0992be0 是\n",
"54 {} 60dbf739-3cff-4b8e-8fa7-9582ffe7b70e nan\n",
"55 {} 6b7dd6d5-f65b-4f91-80ec-778e65ecd025 是\n",
"56 {} 74f257d9-9e8c-4b00-9026-4c868a877749 nan\n",
"57 {} bf916dd9-190d-4c8f-90cd-3c31fc50eb12 是\n",
"58 {} 554906a8-0795-4bb2-bce2-dcb81add2119 nan\n",
"59 {} 3bc9f771-637c-40b1-b219-bb57826e3e8d nan\n",
"60 {} 43a7a9a2-4b4e-4cb6-a658-8eb3abc41412 是\n",
"61 {} f5f2149c-ae60-42b4-ba46-2a40558485c8 nan\n",
"62 {} 0837c781-b942-40c0-be23-f36236beec1f nan\n",
"63 {} a81bd70a-16d6-4199-8ce2-a7fcac11e59e nan\n",
"64 {} b903a070-fd31-4174-98ff-f81a4a7e0c65 nan\n",
"65 {} d409c97c-9cca-477f-8dd7-50c8161aba73 nan\n",
"66 {} 35d27c07-9660-4d7a-a5c3-97bf1244fddf 是\n",
"67 {} 187ef389-2172-4dd6-97ce-bc4df89bdd30 是\n",
"68 {} 099fb25f-2bb9-4399-80dd-d881abd74b85 nan\n",
"69 {} a012ef8e-0f5b-43ca-85a9-f81887603bb2 nan\n",
"70 {} 008cc5ac-4b1c-420a-ba8b-54866d873c43 是\n",
"71 {} 39a5075d-4c0d-4a14-8b8a-40e7fd4905e6 nan\n",
"72 {} 9e473076-12bf-4f29-8804-c3709552db43 是\n",
"73 {} 9dceef93-4ba7-4544-a7ce-826ce07b933f nan\n",
"74 {} 7d97d99b-15f9-4d43-b8ce-2724ac9d1218 nan\n",
"75 {} fd551ae0-2d43-4e6c-a267-00c704c17205 nan\n",
"76 {} a2641de2-0d2f-4473-a57e-5ee9c58117d6 nan\n",
"77 {} 757319d1-45ed-4bbd-8719-fdf3b75f9ef6 nan\n",
"78 {} 54bb9f70-007a-46b3-8d40-09b0938271bb nan\n",
"79 {} 71bf1fdb-cfb8-409b-82bd-f7bce8ddc54f nan\n",
"80 {} 47b6dd28-e0de-4896-87ef-ae19d478552f 是\n",
"81 {} 96973e62-44fc-4c12-92f6-e3d025c8a750 nan\n",
"82 {} 1bcd7bbe-f450-44e7-ac6a-12a2c57137fb 是\n",
"83 {} ac8cc2eb-ebe0-461a-bf0a-4cdaeec5de36 是\n",
"84 {} b58bb38b-7356-469e-82fd-b97cbe5b8cd8 nan\n",
"85 {} b1b2d961-de3e-476b-991a-418a1b5d3ccb 是\n",
"86 {} 6c042314-d25a-4f22-b644-f3b62c645673 是\n",
"87 {} 49ab3a43-989b-4d79-8a58-f976359a44cc nan\n",
"88 {} e761ba12-d084-4282-9c4f-939478fef5ac 是\n",
"89 {} 0dd4a29b-28eb-421b-8ef7-e98d30da092a nan\n",
"90 {} 5a58f06e-ad85-48c0-99e8-7e9a88c295ad 是\n",
"91 {} e5e14d75-5c41-4f9a-94a3-8d6716ba3456 是\n",
"92 {} f429a169-f8c4-4ce9-bbf7-87835154c3a7 nan\n",
"93 {} dab7531e-5294-48a0-aedf-ae02d31b2bdd 是\n",
"94 {} b809ec27-ffd8-4244-a4e0-0a5a74855c13 nan\n",
"95 {} 4be8c41c-d41a-4b29-b4a0-072ac8ccc3c2 是\n",
"96 {} 029f00ee-cc69-4c9b-bda0-c9f8300b1921 是\n",
"97 {} 2fbb4648-c1f4-456a-baec-60b04a469f3e nan\n",
"98 {} 389c872d-20ae-4b23-a897-57573bb7e70a 是\n",
"99 {} 5423efac-5c0f-4471-ae64-8d99a8bb5a8e nan\n",
"100 {} ff365487-80b5-442e-a518-34015a9621fb nan\n",
"101 {} fff91d29-5a03-4cb0-9c77-f55a70899168 是\n",
"102 {} 5ba28272-7e6f-46f6-93f2-5ea31815e331 nan\n",
"103 {} 4e83b937-7ea5-4363-8eb7-fc36e46001a9 nan\n",
"104 {} e76c6345-282e-42c2-b692-8e7a3a89d688 是\n"
]
}
],
"source": [
"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",
"\n",
"FORMID = \"FORM-UP96637151Q3XIFU9NNW9BKFUVHU2XWN0EF9L84\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\缺失待办明细.xlsx',sheet_name='Sheet4',dtype={'最近一次联系时间': str, '技术专家反馈时间': str})\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'实例ID']\n",
" a1 = df.loc[i,'是否联系上客户']\n",
" a2 = df.loc[i,'最近一次联系时间']\n",
" a3 = df.loc[i,'未联系上原因']\n",
" a4 = df.loc[i,'预计联系时间']\n",
" a5 = df.loc[i,'门店是否愿意续约']\n",
" a6 = df.loc[i,'预计续约时间']\n",
" a7 = df.loc[i,'联系情况说明']\n",
" a8 = df.loc[i,'是否引导客户在全配中下单']\n",
" a9 = df.loc[i,'未下单原因']\n",
" a10 = df.loc[i,'订单截图']\n",
" a11 = df.loc[i,'沟通次数']\n",
" a12 = df.loc[i,'经营模式']\n",
" a13 = df.loc[i,'客户现阶段问题分类']\n",
" a14 = df.loc[i,'跟进事项']\n",
" a15 = df.loc[i,'问题跟进人']\n",
" a16 = df.loc[i,'问题跟进人角色']\n",
" a17 = df.loc[i,'和小六沟通情况']\n",
" a18 = df.loc[i,'技术专家跟进反馈']\n",
" a19 = df.loc[i,'技术专家反馈时间']\n",
" a20 = df.loc[i,'门店续约意向']\n",
"\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",
" data_new= {\n",
" 'radioField_l85ppdia' : a1 , # '是否联系上客户'\n",
" 'dateField_l85ppdib' : a2 , # '最近一次联系时间'\n",
" 'textField_l85ppdic' : a3 , # '未联系上原因'\n",
" 'dateField_l85ppdid' : a4 , # '预计联系时间'\n",
" 'radioField_l85ppdie' : a5 , # '门店是否愿意续约'\n",
" 'dateField_l85ppdif' : a6 , # '预计续约时间'\n",
" 'textField_l85ppdig' : a7 , # '联系情况说明'\n",
" 'radioField_la7x32mq' : a8 , # '是否引导客户在全配中下单'\n",
" 'textField_la7x32mp' : a9 , # '未下单原因'\n",
" 'textField_lbodyv8i' : a11 , # '沟通次数'\n",
" 'textField_lbodyv8h' : a12 , # '经营模式'\n",
" 'radioField_r3yeqvd' : a13 , # '客户现阶段问题分类'\n",
" 'textAreaField_972lhkt' : a14 , # '跟进事项'\n",
" 'selectField_lb0gxmq8' : a15 , # '问题跟进人'\n",
" 'selectField_lb5xhwk4' : a16 , # '问题跟进人角色'\n",
" 'textAreaField_z2yy857' : a17 , # '和小六沟通情况'\n",
" 'textAreaField_n27lmaq' : a18 , # '技术专家跟进反馈'\n",
" 'dateField_lb0gxmqa' : a19 , # '技术专家反馈时间'\n",
" 'selectField_lc70femm' : a20 , # '门店续约意向'\n",
" }\n",
"\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"userId\" : \"2268275546837446\",\n",
" \"language\" : \"zh_CN\",\n",
" \"formInstanceId\" : a,\n",
" \"useLatestVersion\" : 'false',\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder) # json.dumps(data_new, cls=NpEncoder)\n",
" }\n",
" \n",
" res = requests.put(api, headers=headers,json =payload)\n",
" res_new = res.json()\n",
" print(i,res_new,a,a1)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# 页面自动化实现跳转"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CHS202005150082481\n",
"CHS202004260071292\n",
"CHS201712142146\n",
"CHS201803262413\n",
"CHS202205240180324\n",
"CHS201903050012302\n",
"CHS202004290072652\n",
"CHS202205200180046\n",
"CHS201912310050143\n",
"CHS202205170179790\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mNoSuchElementException\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-13-17d9504465a1>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 49\u001b[0m \u001b[1;31m# time.sleep(0.5)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 50\u001b[1;33m \u001b[0mdriver\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind_element_by_xpath\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'//li[@title=\"跳转\"]'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclick\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[0m\u001b[0;32m 51\u001b[0m \u001b[1;31m# time.sleep(0.5)\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\\selenium\\webdriver\\remote\\webdriver.py\u001b[0m in \u001b[0;36mfind_element_by_xpath\u001b[1;34m(self, xpath)\u001b[0m\n\u001b[0;32m 393\u001b[0m \"\"\"\n\u001b[1;32m--> 394\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind_element\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mby\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mBy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mXPATH\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mxpath\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 395\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\selenium\\webdriver\\remote\\webdriver.py\u001b[0m in \u001b[0;36mfind_element\u001b[1;34m(self, by, value)\u001b[0m\n\u001b[0;32m 975\u001b[0m \u001b[0mvalue\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'[name=\"%s\"]'\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 976\u001b[1;33m return self.execute(Command.FIND_ELEMENT, {\n\u001b[0m\u001b[0;32m 977\u001b[0m \u001b[1;34m'using'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mby\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\\selenium\\webdriver\\remote\\webdriver.py\u001b[0m in \u001b[0;36mexecute\u001b[1;34m(self, driver_command, params)\u001b[0m\n\u001b[0;32m 320\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 321\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0merror_handler\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcheck_response\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresponse\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 322\u001b[0m response['value'] = self._unwrap_value(\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\selenium\\webdriver\\remote\\errorhandler.py\u001b[0m in \u001b[0;36mcheck_response\u001b[1;34m(self, response)\u001b[0m\n\u001b[0;32m 241\u001b[0m \u001b[1;32mraise\u001b[0m \u001b[0mexception_class\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mscreen\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstacktrace\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malert_text\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 242\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mexception_class\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mscreen\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstacktrace\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 243\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mNoSuchElementException\u001b[0m: Message: no such element: Unable to locate element: {\"method\":\"xpath\",\"selector\":\"//li[@title=\"跳转\"]\"}\n (Session info: chrome=108.0.5359.125)\n",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-13-17d9504465a1>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 64\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcode\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 65\u001b[0m \u001b[0mdriver\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhttp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 66\u001b[1;33m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\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[0m\n\u001b[0m\u001b[0;32m 67\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"# 通过页面进行\n",
"from selenium import webdriver\n",
"from selenium.webdriver.support.ui import Select\n",
"from selenium.webdriver import ActionChains\n",
"import time\n",
"import xlrd\n",
"import xlwt\n",
"import re\n",
"from xlutils.copy import copy\n",
"from selenium.webdriver.common.keys import Keys\n",
"from selenium.webdriver.support.ui import WebDriverWait\n",
"import datetime\n",
"import os\n",
"from selenium.webdriver.support import expected_conditions as EC\n",
"from selenium.webdriver.common.by import By\n",
"from selenium.webdriver.support.wait import WebDriverWait\n",
"import pandas as pd\n",
"#获取基础信息\n",
"option_chrome = webdriver.ChromeOptions()\n",
"option_chrome.add_argument('--headless')\n",
"\n",
"http='https://f6car.aliwork.com/APP_UYZ0KG6L0CCNV80GZ66O/admin/FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22?activeTabKey=manage'\n",
"#driver = webdriver.Chrome(chrome_options=option_chrome)\n",
"driver = webdriver.Chrome(executable_path=r\"C:\\Users\\admin\\Desktop\\Python脚本\\chromedriver.exe\")\n",
"\n",
"driver.maximize_window()\n",
"driver.implicitly_wait(3)\n",
"driver.get(http)\n",
"time.sleep(20)\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\节点跳转(1).xlsx',sheet_name='数据',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for i in range(len(df)):\n",
" try:\n",
" code = df.loc[i,'门店编码']\n",
" name = df.loc[i,'节点名称']\n",
" try:\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div/div/div/span/span/span/span/span/span/i').click() \n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div[2]/div/div[1]/div/i').click() \n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div[2]/div/div[1]/span/span/span/span[1]/input').clear()\n",
" except:\n",
" pass\n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div[2]/div/div[1]/span/span/span/span[1]/input').send_keys(code)\n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div[2]/div/div[1]/span/span/span/span[1]/span[1]/i').click() \n",
" # time.sleep(1)\n",
" # 以上是点击并输入内容进行查询\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div/div/div/div/div/div/table/tbody/tr/td/div/div/button[3]/span[1]').click()\n",
" # time.sleep(0.5) \n",
" driver.find_element_by_xpath('//li[@title=\"跳转\"]').click() \n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//input[@placeholder=\"请下拉选择\"]').click() \n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//span[text()=\"{}\"]'.format(name)).click() \n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//span[text()=\"确定\"]').click() \n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div/div/div/div/span/span/span/span/span[2]/span/i').click() \n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//*[@id=\"App\"]/section/section/section/div/div/div/div/div/div/div/div/div/ul/li[2]/div').click() \n",
" # time.sleep(0.5)\n",
" print(code,name,time.strftime('%Y-%m-%d %H:%M:%S', time.localtime()))\n",
" except:\n",
" print(code)\n",
" driver.get(http)\n",
" time.sleep(2)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CHS202004260071292 60天联系情况 2023-04-04 13:44:37\n",
"CHS202002080051732\n",
"CHS201908300036528 60天联系情况 2023-04-04 13:44:49\n",
"CHS201912160046548 60天联系情况 2023-04-04 13:44:55\n",
"CHS202003200057037 60天联系情况 2023-04-04 13:45:01\n",
"CHS202205300180693 60天联系情况 2023-04-04 13:45:07\n",
"CHS202103250117985 60天联系情况 2023-04-04 13:45:13\n",
"CHS201908260036137 60天联系情况 2023-04-04 13:45:19\n",
"CHS201902280006803 60天联系情况 2023-04-04 13:45:25\n",
"CHS202202110149478 60天联系情况 2023-04-04 13:45:32\n",
"CHS202103180117296 60天联系情况 2023-04-04 13:45:38\n",
"CHS202105100124186 60天联系情况 2023-04-04 13:45:44\n",
"CHS202104100119865 60天联系情况 2023-04-04 13:45:50\n",
"CHS201910160040358 30天联系情况 2023-04-04 13:45:57\n",
"CHS202003230057753 30天联系情况 2023-04-04 13:46:04\n",
"CHS201812270005126 30天联系情况 2023-04-04 13:46:10\n",
"CHS201811223936 30天联系情况 2023-04-04 13:46:16\n",
"CHS202204140174311 30天联系情况 2023-04-04 13:46:22\n",
"CHS201907060032350 30天联系情况 2023-04-04 13:46:28\n",
"CHS201912150045857 30天联系情况 2023-04-04 13:46:34\n",
"CHS202204120174129 30天联系情况 2023-04-04 13:46:41\n",
"CHS202204120174143 30天联系情况 2023-04-04 13:46:47\n",
"CHS202204180174552 30天联系情况 2023-04-04 13:46:53\n",
"CHS202204070173909 30天联系情况 2023-04-04 13:46:59\n",
"CHS202204030173776 30天联系情况 2023-04-04 13:47:06\n",
"CHS202204080173979 30天联系情况 2023-04-04 13:47:11\n",
"CHS202204080173991 30天联系情况 2023-04-04 13:47:17\n",
"CHS202104280122800 30天联系情况 2023-04-04 13:47:23\n",
"CHS202101040113507 30天联系情况 2023-04-04 13:47:29\n",
"CHS201912300049597 30天联系情况 2023-04-04 13:47:35\n",
"CHS201910110039997 30天联系情况 2023-04-04 13:47:41\n"
]
}
],
"source": [
"# 通过页面进行\n",
"from selenium import webdriver\n",
"from selenium.webdriver.support.ui import Select\n",
"from selenium.webdriver import ActionChains\n",
"import time\n",
"import xlrd\n",
"import xlwt\n",
"import re\n",
"from xlutils.copy import copy\n",
"from selenium.webdriver.common.keys import Keys\n",
"from selenium.webdriver.support.ui import WebDriverWait\n",
"import datetime\n",
"import os\n",
"from selenium.webdriver.support import expected_conditions as EC\n",
"from selenium.webdriver.common.by import By\n",
"from selenium.webdriver.support.wait import WebDriverWait\n",
"import pandas as pd\n",
"#获取基础信息\n",
"option_chrome = webdriver.ChromeOptions()\n",
"option_chrome.add_argument('--headless')\n",
"\n",
"http='https://f6car.aliwork.com/APP_UYZ0KG6L0CCNV80GZ66O/admin/FORM-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22?activeTabKey=manage'\n",
"#driver = webdriver.Chrome(chrome_options=option_chrome)\n",
"driver = webdriver.Chrome(executable_path=r\"C:\\Users\\admin\\Desktop\\Python脚本\\chromedriver.exe\")\n",
"\n",
"driver.maximize_window()\n",
"driver.implicitly_wait(10)\n",
"driver.get(http)\n",
"time.sleep(30)\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\节点跳转(1).xlsx',sheet_name='数据',dtype='string')\n",
"df.fillna('', inplace=True)\n",
"for i in range(len(df)):\n",
" try:\n",
" code = df.loc[i,'门店编码']\n",
" name = df.loc[i,'节点名称']\n",
" time.sleep(0.5)\n",
" try:\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div[2]/div/div[1]/span/span/span/span[1]/span[2]/span/i').click() \n",
" time.sleep(0.5)\n",
" except:\n",
" pass\n",
" driver.find_element_by_xpath('//*[@id=\"App\"]/section/section/section/div/div/div/div/div/div/div/div/div/ul/li[2]/div').click() \n",
" time.sleep(0.5)\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div[2]/div/div[1]/div/i').click() \n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div[2]/div/div[1]/span/span/span/span[1]/input').clear()\n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div[2]/div/div[1]/span/span/span/span[1]/input').send_keys(code)\n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div[1]/div[2]/div/div[1]/span/span/span/span[1]/span[1]/i').click() \n",
" # time.sleep(1)\n",
" # 以上是点击并输入内容进行查询\n",
" driver.find_element_by_xpath('//*[@id=\"dataManageInstance\"]/div/div/div/div/div/div/div/div/div/div/div/div/table/tbody/tr/td/div/div/button[3]/span[1]').click() \n",
" time.sleep(0.5) \n",
" driver.find_element_by_xpath('//li[@title=\"跳转\"]').click() \n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//input[@placeholder=\"请下拉选择\"]').click() \n",
" time.sleep(0.5)\n",
" # driver.find_element_by_xpath('//span[text()=\"{}\"]'.format(name)).click() \n",
" driver.find_element_by_xpath(f'//li[@title=\"{name}\"]').click()\n",
" # time.sleep(0.5)\n",
" driver.find_element_by_xpath('//span[text()=\"确定\"]').click() \n",
" time.sleep(0.5) \n",
" print(code,name,time.strftime('%Y-%m-%d %H:%M:%S', time.localtime()))\n",
" except:\n",
" print(code)\n",
" driver.get(http)\n",
" time.sleep(2)\n",
" # time.sleep(0.5)\n",
" "
]
},
{
"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": [
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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-L89662816B04LXH893M4K50Q7MIZ1SVQI08ALU2\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Downloads\\111122.xlsx',sheet_name='sheet1',dtype='string')\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'区域客服—修正']\n",
" data_new = {\n",
" 'employeeField_la80kj0k':[b]\n",
" }\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\" : a,\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(a,b,res.text)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"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",
"\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-L89662816B04LXH893M4K50Q7MIZ1SVQI08ALU2\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Downloads\\111122.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": 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",
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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\\Downloads\\567764.xlsx',sheet_name='sheet1',dtype='string')\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'*实例id']\n",
" b = df.loc[i,'*修改内容']\n",
"\n",
" \"\"\" 通过实例id 获取表单内容 \"\"\"\n",
"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/{a}?appType=APP_UYZ0KG6L0CCNV80GZ66O&systemToken=XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2&userId=2268275546837446&language=zh_CN'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"language\": \"zh_CN\",\n",
" \"userId\" : \"2268275546837446\",\n",
" }\n",
" # \n",
" res = requests.get(api, headers=headers)\n",
" res_new = res.json()\n",
" data_new = {\n",
" 'employeeField_ksydght0':b\n",
" }\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\" : a,\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(a,b,res.text)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"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",
"\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\\567764.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,'*修改内容']\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": 2,
"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",
"\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-PE866MD1MJMU0WGLYRFLYEN5YN9L1I55Z7ZUK22\"\n",
"TOKEN = generateToken()\n",
"\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\工作簿11321321.xlsx',sheet_name='11',dtype='string')\n",
"for i in range(len(df)):\n",
" a = df.loc[i,'实例ID']\n",
" b = df.loc[i,'编码']\n",
" c = df.loc[i,'唯一标识']\n",
"\n",
" \"\"\" 通过实例id 获取表单内容 \"\"\"\n",
"\n",
" api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/{a}?appType=APP_UYZ0KG6L0CCNV80GZ66O&systemToken=XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2&userId=2268275546837446&language=zh_CN'\n",
"\n",
" headers = {\n",
" \"Content-Type\": \"application/json\",\n",
" \"x-acs-dingtalk-access-token\": TOKEN\n",
" }\n",
" payload = {\n",
" \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n",
" \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n",
" \"language\": \"zh_CN\",\n",
" \"userId\" : \"2268275546837446\",\n",
" }\n",
" # \n",
" res = requests.get(api, headers=headers)\n",
" res_new = res.json()\n",
"\n",
" data_new = {\n",
" c:[b]\n",
" }\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\" : a,\n",
" \"updateFormDataJson\" : json.dumps(data_new, cls=NpEncoder),\n",
" }\n",
"\n",
" res = requests.put(api, headers=headers, json=payload)\n",
" print(a,b,res.text)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Note: you may need to restart the kernel to use updated packages.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Traceback (most recent call last):\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\runpy.py\", line 197, in _run_module_as_main\n",
" return _run_code(code, main_globals, None,\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\runpy.py\", line 87, in _run_code\n",
" exec(code, run_globals)\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\__main__.py\", line 21, in <module>\n",
" from pip._internal.cli.main import main as _main\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\main.py\", line 8, in <module>\n",
" from pip._internal.cli.autocompletion import autocomplete\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\autocompletion.py\", line 9, in <module>\n",
" from pip._internal.cli.main_parser import create_main_parser\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\main_parser.py\", line 7, in <module>\n",
" from pip._internal.cli import cmdoptions\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\cmdoptions.py\", line 22, in <module>\n",
" from pip._internal.cli.progress_bars import BAR_TYPES\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\progress_bars.py\", line 9, in <module>\n",
" from pip._internal.utils.logging import get_indentation\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\utils\\logging.py\", line 14, in <module>\n",
" from pip._internal.utils.misc import ensure_dir\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\utils\\misc.py\", line 29, in <module>\n",
" from pip._internal.locations import get_major_minor_version, site_packages, user_site\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\locations\\__init__.py\", line 14, in <module>\n",
" from . import _sysconfig\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\locations\\_sysconfig.py\", line 7, in <module>\n",
" from pip._internal.exceptions import InvalidSchemeCombination, UserInstallationInvalid\n",
"ImportError: cannot import name 'InvalidSchemeCombination' from 'pip._internal.exceptions' (c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\exceptions.py)\n"
]
}
],
"source": [
"pip install pandas xlrd"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"conda activate F6processing"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Note: you may need to restart the kernel to use updated packages.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Traceback (most recent call last):\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\runpy.py\", line 197, in _run_module_as_main\n",
" return _run_code(code, main_globals, None,\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\runpy.py\", line 87, in _run_code\n",
" exec(code, run_globals)\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\__main__.py\", line 21, in <module>\n",
" from pip._internal.cli.main import main as _main\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\main.py\", line 8, in <module>\n",
" from pip._internal.cli.autocompletion import autocomplete\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\autocompletion.py\", line 9, in <module>\n",
" from pip._internal.cli.main_parser import create_main_parser\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\main_parser.py\", line 7, in <module>\n",
" from pip._internal.cli import cmdoptions\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\cmdoptions.py\", line 22, in <module>\n",
" from pip._internal.cli.progress_bars import BAR_TYPES\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\cli\\progress_bars.py\", line 9, in <module>\n",
" from pip._internal.utils.logging import get_indentation\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\utils\\logging.py\", line 14, in <module>\n",
" from pip._internal.utils.misc import ensure_dir\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\utils\\misc.py\", line 29, in <module>\n",
" from pip._internal.locations import get_major_minor_version, site_packages, user_site\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\locations\\__init__.py\", line 14, in <module>\n",
" from . import _sysconfig\n",
" File \"c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\locations\\_sysconfig.py\", line 7, in <module>\n",
" from pip._internal.exceptions import InvalidSchemeCombination, UserInstallationInvalid\n",
"ImportError: cannot import name 'InvalidSchemeCombination' from 'pip._internal.exceptions' (c:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pip\\_internal\\exceptions.py)\n"
]
}
],
"source": [
"pip install --upgrade pip"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "No engine for filetype: 'xls'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mOptionError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\io\\excel\\_base.py\u001b[0m in \u001b[0;36m__new__\u001b[1;34m(cls, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs)\u001b[0m\n\u001b[0;32m 1110\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[1;32m-> 1111\u001b[1;33m \u001b[0mengine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mconfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_option\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"io.excel.{ext}.writer\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msilent\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\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 1112\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"auto\"\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\\_config\\config.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 260\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[0mT\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 261\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__func__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\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 262\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\_config\\config.py\u001b[0m in \u001b[0;36m_get_option\u001b[1;34m(pat, silent)\u001b[0m\n\u001b[0;32m 134\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_get_option\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpat\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msilent\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[0mAny\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 135\u001b[1;33m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_get_single_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpat\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msilent\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 136\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\_config\\config.py\u001b[0m in \u001b[0;36m_get_single_key\u001b[1;34m(pat, silent)\u001b[0m\n\u001b[0;32m 120\u001b[0m \u001b[0m_warn_if_deprecated\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 121\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mOptionError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"No such keys(s): {repr(pat)}\"\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 122\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkeys\u001b[0m\u001b[1;33m)\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[1;31mOptionError\u001b[0m: \"No such keys(s): 'io.excel.xls.writer'\"",
"\nThe above exception was the direct cause of the following exception:\n",
"\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-6-cd4e3202bee0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 15\u001b[0m \u001b[1;31m# 保存新的表到Excel文件\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 16\u001b[0m \u001b[0mnew_file_name\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34mr'C:\\Users\\admin\\Desktop\\新建文件夹\\材料splitted_file_{}.xls'\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\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;32m---> 17\u001b[1;33m \u001b[0mnew_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_excel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnew_file_name\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\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 18\u001b[0m \u001b[0mprint\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\\generic.py\u001b[0m in \u001b[0;36mto_excel\u001b[1;34m(self, excel_writer, sheet_name, na_rep, float_format, columns, header, index, index_label, startrow, startcol, engine, merge_cells, inf_rep, freeze_panes, storage_options)\u001b[0m\n\u001b[0;32m 2250\u001b[0m \u001b[0minf_rep\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minf_rep\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2251\u001b[0m )\n\u001b[1;32m-> 2252\u001b[1;33m formatter.write(\n\u001b[0m\u001b[0;32m 2253\u001b[0m \u001b[0mexcel_writer\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2254\u001b[0m \u001b[0msheet_name\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msheet_name\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\\io\\formats\\excel.py\u001b[0m in \u001b[0;36mwrite\u001b[1;34m(self, writer, sheet_name, startrow, startcol, freeze_panes, engine, storage_options)\u001b[0m\n\u001b[0;32m 932\u001b[0m \u001b[1;31m# error: Cannot instantiate abstract class 'ExcelWriter' with abstract\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 933\u001b[0m \u001b[1;31m# attributes 'engine', 'save', 'supported_extensions' and 'write_cells'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 934\u001b[1;33m writer = ExcelWriter( # type: ignore[abstract]\n\u001b[0m\u001b[0;32m 935\u001b[0m \u001b[0mwriter\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstorage_options\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mstorage_options\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 936\u001b[0m )\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\io\\excel\\_base.py\u001b[0m in \u001b[0;36m__new__\u001b[1;34m(cls, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs)\u001b[0m\n\u001b[0;32m 1113\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_default_engine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mext\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"writer\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1114\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1115\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"No engine for filetype: '{ext}'\"\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1116\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1117\u001b[0m \u001b[1;31m# for mypy\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: No engine for filetype: 'xls'"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"# 读取Excel文件\n",
"df = pd.read_excel(r'C:\\Users\\admin\\Desktop\\新建文件夹\\工作簿1.xlsx',sheet_name='总表',dtype='string')\n",
"\n",
"# 获取列名\n",
"column_names = df.columns\n",
"\n",
"# 按每隔1万行拆分成新的表\n",
"chunk_size = 10000\n",
"for i in range(0, len(df), chunk_size):\n",
" new_df = df[i:i + chunk_size]\n",
" new_df.columns = column_names\n",
" \n",
" # 保存新的表到Excel文件\n",
" new_file_name = r'C:\\Users\\admin\\Desktop\\新建文件夹\\材料splitted_file_{}.xls'.format(i)\n",
" new_df.to_excel(new_file_name, index=False)\n",
" print(i)\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "No engine for filetype: 'xls'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mOptionError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\io\\excel\\_base.py\u001b[0m in \u001b[0;36m__new__\u001b[1;34m(cls, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs)\u001b[0m\n\u001b[0;32m 1110\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[1;32m-> 1111\u001b[1;33m \u001b[0mengine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mconfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_option\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"io.excel.{ext}.writer\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msilent\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\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 1112\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"auto\"\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\\_config\\config.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 260\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[0mT\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 261\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__func__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\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 262\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\_config\\config.py\u001b[0m in \u001b[0;36m_get_option\u001b[1;34m(pat, silent)\u001b[0m\n\u001b[0;32m 134\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_get_option\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpat\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msilent\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m->\u001b[0m \u001b[0mAny\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 135\u001b[1;33m \u001b[0mkey\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_get_single_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpat\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msilent\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 136\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\_config\\config.py\u001b[0m in \u001b[0;36m_get_single_key\u001b[1;34m(pat, silent)\u001b[0m\n\u001b[0;32m 120\u001b[0m \u001b[0m_warn_if_deprecated\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 121\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mOptionError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"No such keys(s): {repr(pat)}\"\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 122\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkeys\u001b[0m\u001b[1;33m)\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[1;31mOptionError\u001b[0m: \"No such keys(s): 'io.excel.xls.writer'\"",
"\nThe above exception was the direct cause of the following exception:\n",
"\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-13-ba1a9f5cc899>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 10\u001b[0m \u001b[1;31m# 保存新的表到Excel文件\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 11\u001b[0m \u001b[0mnew_file_name\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34mr'C:\\Users\\admin\\Desktop\\新建文件夹\\材料splitted_file_{}.xls'\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\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;32m---> 12\u001b[1;33m \u001b[0mnew_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_excel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnew_file_name\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\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 13\u001b[0m \u001b[0mprint\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\\generic.py\u001b[0m in \u001b[0;36mto_excel\u001b[1;34m(self, excel_writer, sheet_name, na_rep, float_format, columns, header, index, index_label, startrow, startcol, engine, merge_cells, inf_rep, freeze_panes, storage_options)\u001b[0m\n\u001b[0;32m 2250\u001b[0m \u001b[0minf_rep\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minf_rep\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2251\u001b[0m )\n\u001b[1;32m-> 2252\u001b[1;33m formatter.write(\n\u001b[0m\u001b[0;32m 2253\u001b[0m \u001b[0mexcel_writer\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2254\u001b[0m \u001b[0msheet_name\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msheet_name\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\\io\\formats\\excel.py\u001b[0m in \u001b[0;36mwrite\u001b[1;34m(self, writer, sheet_name, startrow, startcol, freeze_panes, engine, storage_options)\u001b[0m\n\u001b[0;32m 932\u001b[0m \u001b[1;31m# error: Cannot instantiate abstract class 'ExcelWriter' with abstract\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 933\u001b[0m \u001b[1;31m# attributes 'engine', 'save', 'supported_extensions' and 'write_cells'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 934\u001b[1;33m writer = ExcelWriter( # type: ignore[abstract]\n\u001b[0m\u001b[0;32m 935\u001b[0m \u001b[0mwriter\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstorage_options\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mstorage_options\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 936\u001b[0m )\n",
"\u001b[1;32mc:\\Users\\admin\\.conda\\envs\\F6processing\\lib\\site-packages\\pandas\\io\\excel\\_base.py\u001b[0m in \u001b[0;36m__new__\u001b[1;34m(cls, path, engine, date_format, datetime_format, mode, storage_options, if_sheet_exists, engine_kwargs)\u001b[0m\n\u001b[0;32m 1113\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_default_engine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mext\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"writer\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1114\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1115\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"No engine for filetype: '{ext}'\"\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1116\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1117\u001b[0m \u001b[1;31m# for mypy\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: No engine for filetype: 'xls'"
]
}
],
"source": [
"# 获取列名\n",
"column_names = df.columns\n",
"\n",
"# 按每隔1万行拆分成新的表\n",
"chunk_size = 10000\n",
"for i in range(0, len(df), chunk_size):\n",
" new_df = df[i:i + chunk_size]\n",
" new_df.columns = column_names\n",
" \n",
" # 保存新的表到Excel文件\n",
" new_file_name = r'C:\\Users\\admin\\Desktop\\新建文件夹\\材料splitted_file_{}.xls'.format(i)\n",
" new_df.to_excel(new_file_name, index=False)\n",
" print(i)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.9.4 ('F6processing')",
"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": "3.9.4"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "f83923c7d0b4d2e003073efbd633777fa3fd66b7578149f24f67f4796b9b3ac4"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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