{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 含多年" ] }, { "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" ] } ], "source": [ "# -*- coding: utf-8 -*-\n", "import psycopg2\n", "import pandas as pd\n", "# 获得连接\n", "conn = psycopg2.connect(database=\"f6_bi\", user=\"BASIC$ro_caowei\", password=\"!ro_caowei123\", host=\"hgprecn-cn-nif1vnv0y002-cn-shanghai.hologres.aliyuncs.com\", port=\"80\")\n", "# 获得游标对象，一个游标对象可以对数据库进行执行操作\n", "cursor = conn.cursor()\n", "\n", "import datetime\n", "now_time = datetime.datetime.now()\n", "yes_time = now_time + datetime.timedelta(days=-1)\n", "yes_time_nyr = int(yes_time.strftime('%Y%m%d'))# 获取前一天日期\n", "# sql语句 建表\n", "sql =f\"\"\"SELECT * FROM \"public\".\"holo_ads_report_saas_profile_ngv_detail_d\" WHERE \"date_id\" = '{yes_time_nyr}' ;\"\"\"\n", "# 执行语句\n", "cursor.execute(sql)\n", "# 获取结果集的每一行\n", "rows = cursor.fetchall()\n", "# 获取所有字段名\n", "all_fields = cursor.description\n", "#执行结果转化为dataframe\n", "col = []\n", "for i in all_fields:\n", " col.append(i[0])\n", "data_NGV = pd.DataFrame(list(rows),columns=col)\n", "# data_NGV.to_excel(r'C:\\Users\\admin\\Desktop\\NGV明细.xlsx')\n", "# 关闭数据库连接\n", "cursor.close()\n", "conn.close()\n", "# 将A列和B列的日期字符串转换为日期格式\n", "data_NGV['A'] = pd.to_datetime(data_NGV['expiry_time'])\n", "data_NGV['B'] = pd.to_datetime(data_NGV['renew_date'])\n", "data_NGV['条件'] = (data_NGV['org_type'] == \"一般\") & (data_NGV['org_status'] == '留存') & (data_NGV['group_grade'] != '区域KA（MVP）') & (data_NGV['group_grade'] != '全国KA（FMVP）')\n", "data_NGV = data_NGV.loc[data_NGV[\"条件\"] == True]\n", "data_details = data_NGV.copy()\n", "# 重置索引\n", "data_details = data_details.reset_index(drop=True)\n", "# 判断A列的日期是否大于B列的日期730天，如果是的话，将B列的值设置为1\n", "data_details['条件'] = data_details.apply(lambda row: (row['A'] - row['B']).days if row['A'] - row['B'] >= pd.Timedelta(days=730) else row['条件'], axis=1)\n", "data_details = data_details.loc[data_details[\"条件\"] != True]\n", "# 定义一个函数，用于将数字除以365并取整数\n", "def divide_by_365(x):\n", " if isinstance(x, (int, float)):\n", " return int(x / 365)\n", " else:\n", " return x\n", "# 使用applymap()函数将divide_by_365函数应用到DataFrame的每个元素\n", "data_details['年'] = data_details['条件'].apply(divide_by_365)\n", "# 重置索引\n", "data_details = data_details.reset_index(drop=True)\n", "# 创建一个新的空的DataFrame\n", "new_df = pd.DataFrame()\n", "# 遍历原始DataFrame的每一行\n", "from datetime import datetime, timedelta\n", "for index, row in data_details.iterrows():\n", " # 根据A列的值来决定复制的次数\n", " for i_new in range(1,row['年']):\n", " # 修改日期\n", " row_new = row.copy()\n", " c = row_new[\"renew_date\"]\n", " date_obj = datetime.strptime(c, \"%Y-%m-%d\")\n", " new_year = date_obj.year + i_new\n", " new_date_obj = date_obj.replace(year=new_year)\n", " new_c = new_date_obj.strftime(\"%Y-%m-%d\")\n", " row_new[\"renew_date\"] = new_c\n", " # 将当前行添加到新的DataFrame中\n", " new_df = new_df._append(row_new, ignore_index=True)\n", "# 合并两个DataFrame\n", "merged_df = pd.concat([data_NGV, new_df], axis=0, ignore_index=True)\n", "data_details = merged_df.copy() # 替换名称\n", "\n", "data_details_not_null = data_details[data_details['renew_date'].notnull()]\n", "data_details_not_null = data_details_not_null.sort_values(by='renew_date', ascending=True).drop_duplicates(subset='id_own_group')\n", "# 重置索引\n", "data_details_not_null = data_details_not_null.reset_index(drop=True)\n", "data_details = data_details_not_null.copy() # 替换名称 v2 \n", "\n", "import pandas as pd\n", "import pandas as pd\n", "import numpy as np\n", "import requests\n", "import json\n", "import time\n", "import re\n", "from datetime import datetime\n", "from dateutil.relativedelta import relativedelta\n", "from pathlib import Path\n", "from urllib.parse import quote\n", "from io import BytesIO\n", "\n", "ROOT = Path('.').absolute() # 当前工作目录\n", "\n", "\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", "def read_instances(token, formUuid, page, n,formatted_today,formatted_today_two):\n", " \"\"\" 函数功能：读取普通表单的所有数据 \"\"\"\n", "\n", " api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'\n", "\n", " headers = {\n", " \"Content-Type\": \"application/json\",\n", " \"x-acs-dingtalk-access-token\": token\n", " }\n", "\n", " formData = {\n", " \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n", " \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n", " \"userId\" : \"yida_pub_account\",\n", " \"language\" : \"zh_CN\",\n", " \"formUuid\" : formUuid,\n", " \"createFromTimeGMT\" : formatted_today,\n", " \"createToTimeGMT\" : formatted_today_two,\n", " \"currentPage\" : page,\n", " \"pageSize\" : n\n", " }\n", "\n", " res = requests.post(api, headers=headers, json=formData)\n", " return res.json()\n", "\n", "def initiate_process(TOKEN,formUuid,processCode,formData):\n", " \"\"\" 发起宜搭审批流程 \"\"\"\n", " api = f'https://api.dingtalk.com//v1.0/yida/processes/instances/start'\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", " \"userId\" : \"yida_pub_account\",\n", " \"language\" : \"zh_CN\",\n", " \"formUuid\" : formUuid,\n", " \"formDataJson\" : json.dumps(formData, cls=NpEncoder),\n", " \"processCode\" : processCode,\n", " }\n", "\n", " res = requests.post(api, headers=headers, json=payload)\n", " return res.json()\n", "\n", "def read_instances_new(token, formUuid, page, n):\n", " \"\"\" 函数功能：读取普通表单的所有数据 \"\"\"\n", "\n", " api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'\n", "\n", " headers = {\n", " \"Content-Type\": \"application/json\",\n", " \"x-acs-dingtalk-access-token\": token\n", " }\n", "\n", " formData = {\n", " \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n", " \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n", " \"userId\" : \"yida_pub_account\",\n", " \"language\" : \"zh_CN\",\n", " \"formUuid\" : formUuid,\n", " \"currentPage\" : page,\n", " \"pageSize\" : n\n", " }\n", "\n", " res = requests.post(api, headers=headers, json=formData)\n", " return res.json()\n", "def read_instances_ngv(token, formUuid, page, n,searchField):\n", " \"\"\" 函数功能：读取普通表单的所有数据 \"\"\"\n", "\n", " api = f'https://api.dingtalk.com//v1.0/yida/forms/instances/search'\n", "\n", " headers = {\n", " \"Content-Type\": \"application/json\",\n", " \"x-acs-dingtalk-access-token\": token\n", " }\n", "\n", " formData = {\n", " \"appType\" : \"APP_UYZ0KG6L0CCNV80GZ66O\",\n", " \"systemToken\" : \"XA966F81JAJOFCVVVKO64E9MIIZV1EWE5SFMKJ2\",\n", " \"userId\" : \"yida_pub_account\",\n", " \"language\" : \"zh_CN\",\n", " \"formUuid\" : formUuid,\n", " \"searchFieldJson\": json.dumps(searchField),\n", " \"currentPage\" : page,\n", " \"pageSize\" : n\n", " }\n", "\n", " res = requests.post(api, headers=headers, json=formData)\n", " return res.json()\n", "class NpEncoder(json.JSONEncoder):\n", " def default(self, obj):\n", " if isinstance(obj, np.integer):\n", " return int(obj)\n", " elif isinstance(obj, np.floating):\n", " return float(obj)\n", " elif isinstance(obj, np.ndarray):\n", " return obj.tolist()\n", " else:\n", " return super(NpEncoder, self).default(obj)\n", " \n", "TOKEN = generateToken()\n", "'''读取员工对应关系：宜搭员工-ID对应表 '''\n", "FORMID = \"FORM-EA866E715PF9YA7ECCAGSABX91Q72PVA3WRFL6\" # 宜搭员工-ID对应表 FORM-EA866E715PF9YA7ECCAGSABX91Q72PVA3WRFL6\n", "# 读取流程表单数据\n", "form_data = read_instances_new(token=TOKEN, formUuid=FORMID, page=1, n=100)\n", "PAGES = form_data.get('totalCount')//100 + 1\n", "ALL_DATA_staff = {}\n", "\"\"\" 获取全量数据 \"\"\"\n", "for i in range(1, PAGES+1):\n", " # form_data = read_processes_instances(token=TOKEN, formUuid=FORMID, createFromTimeGMT=CREATE_FROM, createToTimeGMT=CREATE_TO, page=i, n=100, searchField={'textField_l7if5ff9': '否'})\n", " form_data = read_instances_new(token=TOKEN, formUuid=FORMID, page=i, n=100)\n", " for data in form_data.get('data'):\n", " ALL_DATA_staff[data['formData']['textField_lfrw3u58']]=data['formData']['textField_lfrw3u59']\n", "'''读取省市小六技术专家区域客服区域客成 '''\n", "FORMID = \"FORM-TP866D918DFCA4FW79YZU5X43FO32QZJQDZJL7\" #省市小六技术专家区域客服区域客成\n", "# 读取流程表单数据\n", "form_data = read_instances_new(token=TOKEN, formUuid=FORMID, page=1, n=100)\n", "PAGES = form_data.get('totalCount')//100 + 1\n", "textField_gif29wy = {}\n", "textField_3athky8 = {}\n", "textField_3hgho1m = {}\n", "textField_nc7gskc = {}\n", "textField_qk1e5di = {}\n", "\"\"\" 获取全量数据 \"\"\"\n", "for i in range(1, PAGES+1):\n", " form_data = read_instances_new(token=TOKEN, formUuid=FORMID, page=i, n=100)\n", " for data in form_data.get('data'):\n", " textField_gif29wy[data['formData']['textField_o7jtgf1']]=data['formData']['textField_gif29wy'] #区域客成id\n", " textField_3athky8[data['formData']['textField_o7jtgf1']]=data['formData']['textField_3athky8'] #区域客服id\n", " textField_3hgho1m[data['formData']['textField_o7jtgf1']]=data['formData']['textField_3hgho1m'] #小六id\n", " textField_nc7gskc[data['formData']['textField_o7jtgf1']]=data['formData']['textField_nc7gskc'] #技术专家id\n", " textField_qk1e5di[data['formData']['textField_o7jtgf1']]=data['formData']['textField_lntniove'] #区域经理id\n", "print(f'读取到省市小六技术专家区域客服区域客成表单中 {len(textField_gif29wy)} 条数据！')\n", "'''读取市-技术专家id '''\n", "FORMID = \"FORM-A8666NA1FJDEVPBB6VVTOCMP47UP2J2L6SPML2\" #市-技术专家id\n", "# 读取流程表单数据\n", "form_data = read_instances_new(token=TOKEN, formUuid=FORMID, page=1, n=100)\n", "PAGES = form_data.get('totalCount')//100 + 1\n", "textField_lmps6q39 = {}\n", "\"\"\" 获取全量数据 \"\"\"\n", "for i in range(1, PAGES+1):\n", " # form_data = read_processes_instances(token=TOKEN, formUuid=FORMID, createFromTimeGMT=CREATE_FROM, createToTimeGMT=CREATE_TO, page=i, n=100, searchField={'textField_l7if5ff9': '否'})\n", " form_data = read_instances_new(token=TOKEN, formUuid=FORMID, page=i, n=100)\n", " for data in form_data.get('data'):\n", " textField_lmps6q39[data['formData']['textField_lmps6q38']]=data['formData']['textField_lmps6q39'] #技术专家id\n", "print(f'读取到市-技术专家id表单中 {len(textField_lmps6q39)} 条数据！')\n", "import datetime\n", "now_time = datetime.datetime.now()\n", "today = now_time + datetime.timedelta(days=-83)\n", "formatted_today_90 = today.strftime(\"%Y-%m-%d\")\n", "today = now_time + datetime.timedelta(days=-113)\n", "formatted_today_120 = today.strftime(\"%Y-%m-%d\")\n", "today = now_time + datetime.timedelta(days=-173)\n", "formatted_today_180 = today.strftime(\"%Y-%m-%d\")\n", "timestamp_ms = int(time.time() * 1000) # 当然日期时间戳 毫秒级\n", "# 获取数据\n", "data_details_90 = data_details.copy()\n", "data_details_90['条件'] = (data_details_90['renew_date'] == formatted_today_90) & (data_details_90['saas_edition_fmt'] != '基础版')\n", "data_details_90 = data_details_90.loc[data_details_90[\"条件\"] == True]\n", "data_details_120 = data_details.copy()\n", "data_details_120['条件'] = (data_details_120['renew_date'] == formatted_today_120) & (data_details_120['saas_edition_fmt'] == '基础版')\n", "data_details_120 = data_details_120.loc[data_details_120[\"条件\"] == True]\n", "data_details_180 = data_details.copy()\n", "data_details_180['条件'] = (data_details_180['renew_date'] == formatted_today_180) & (data_details_180['saas_edition_fmt'] != '基础版')\n", "data_details_180 = data_details_180.loc[data_details_180[\"条件\"] == True]\n", "\n", "text_jcb_120 = '''\n", "续约后120天:\n", "1.客户系统使用问题集中解答；\n", "2.跟客户查看车辆分析，推荐短信及其他营销功能；\n", "3.红包裂变功能介绍；\n", "4.说明转介绍政策，索要转介绍；\n", "'''\n", "text_bzb_90 = '''\n", "续约后90天:\n", "1.客户系统使用问题集中解答；\n", "2.跟客户查看车辆分析，推荐短信及其他营销功能；\n", "3.会员卡功能使用情况分析，推荐公众号引导升级；\n", "4.说明转介绍政策，索要转介绍；\n", "'''\n", "text_bzb_180 = '''\n", "续约后180天:\n", "1.客户系统使用问题集中解答；\n", "2.跟客户查看车辆分析，推荐短信及其他营销功能；\n", "3.会员卡功能使用情况分析，推荐公众号引导升级；\n", "4.红包裂变推荐；\n", "'''\n", "text_qita_90 = '''\n", "续约后90天:\n", "1.客户系统使用问题集中解答；\n", "2.跟客户查看车辆分析，推荐短信及其他营销功能；\n", "3.公众号小程序功能使用情况分析，提升系统使用深度；\n", "4.说明转介绍政策，索要转介绍；\n", "'''\n", "text_qita_180 = '''\n", "续约后180天:\n", "1.客户系统使用问题集中解答；\n", "2.跟客户查看车辆分析，推荐短信及其他营销功能；\n", "3.公众号小程序功能使用情况分析，提升系统使用深度；\n", "4.红包裂变推荐；\n", "'''\n", "data_details_90['拜访目的说明'] = \"\"\n", "# text_bzb_90\n", "data_details_90['拜访目的说明'] = data_details_90.apply(lambda row: text_bzb_90 if row['saas_edition_fmt'] == '标准版' else row['拜访目的说明'], axis=1)\n", "# text_qita_90\n", "data_details_90['拜访目的说明'] = data_details_90.apply(lambda row: text_qita_90 if row['saas_edition_fmt'] != '标准版' else row['拜访目的说明'], axis=1)\n", "\n", "# text_jcb_120\n", "data_details_120['拜访目的说明'] = text_jcb_120\n", "\n", "data_details_180['拜访目的说明'] = \"\"\n", "# text_bzb_180\n", "data_details_180['拜访目的说明'] = data_details_180.apply(lambda row: text_bzb_180 if row['saas_edition_fmt'] == '标准版' else row['拜访目的说明'], axis=1)\n", "# text_qita_180\n", "data_details_180['拜访目的说明'] = data_details_180.apply(lambda row: text_qita_180 if row['saas_edition_fmt'] != '标准版' else row['拜访目的说明'], axis=1)\n", "# 合并三个DataFrame\n", "data_result = pd.concat([data_details_90, data_details_120, data_details_180], ignore_index=True)\n", "print(len(data_result))\n", "# 获取待回访人员信息+去重\n", "name_list = []\n", "for data in data_result['service_impl_principal']:\n", " name_list.append(data)\n", "unique_arr = []\n", "[unique_arr.append(x) for x in name_list if x not in unique_arr]\n", "print(unique_arr)\n", "# 每日工作计划\n", "formUuid = \"FORM-4V966N81OMEEH85QDP8XW4AH1AIZ2GKRLZTML21\"\n", "processCode = \"TPROC--4V966N81OMEEH85QDP8XW4AH1AIZ21ORLZTML31\"\n", "# 遍历数据并进行创建\n", "for name in unique_arr:\n", " tableField_lnsi0v71 = {}\n", " tableField_lnsi0v71['dateField_lmelabb1'] = \"\"\n", " tableField_lnsi0v71['employeeField_lmeqk429'] = \"\"\n", " tableField_lnsi0v71['employeeField_lmeqk423'] = \"\"\n", " tableField_lnsi0v71['employeeField_lmeqk424'] = \"\"\n", " for i in range(0,len(data_result)):\n", " if data_result.loc[i,\"service_impl_principal\"] == name:\n", " data_one = {} # 子表单\n", " data_two = {} # 主表单\n", " # 子表单\n", " data_one['textField_lnsi0v72'] = data_result.loc[i,\"org_name\"] # 门店名称\n", " data_one['textField_lnsi0v6s'] = data_result.loc[i,\"saas_edition_fmt\"] # 销售版本\n", " try:\n", " data_one['employeeField_lnsi0v6u'] = textField_nc7gskc[name] # 技术专家\n", " data_one['employeeField_lnsi0v6v'] = textField_qk1e5di[name] # 区域经理\n", " if textField_3hgho1m[name] ==\"\":\n", " data_one['employeeField_lnsi0v6w'] = textField_lmps6q39[data_NGV[\"city_name\"][i]] # 运营顾问\n", " else:\n", " data_one['employeeField_lnsi0v6w'] = textField_3hgho1m[name] # 运营顾问\n", " except:\n", " data_one['employeeField_lnsi0v6u'] = textField_lmps6q39[data_NGV[\"city_name\"][i]] # 技术专家\n", " data_one['employeeField_lnsi0v6v'] = ALL_DATA_staff[data_result.loc[i,\"area_manager\"]] # 区域经理\n", " data_one['employeeField_lnsi0v6w'] = textField_lmps6q39[data_NGV[\"city_name\"][i]] # 运营顾问\n", " data_one['dateField_lnsi0v6x'] = str(timestamp_ms) # 计划日期\n", " data_one['textField_lnsi0v6y'] = data_result.loc[i,\"org_name\"] # 门店名称-拷贝\n", " data_one['textField_lnsi0v6z'] = data_result.loc[i,\"org_code\"] # 门店编码\n", " data_one['selectField_lnsi0v6q'] = \"客情维护\" # 拜访目的\n", " data_one['textareaField_lnsi0v6r'] = data_result.loc[i,\"拜访目的说明\"] # 拜访目的说明\n", " data_one['textField_lnsi0v70'] = data_result.loc[i,\"id_own_group\"] # 公司id\n", " # 加入数据\n", " \n", " tableField_lnsi0v71['tableField_lnsi0v71'] = [data_one]\n", " # 主表单\n", " tableField_lnsi0v71['dateField_lmelabb1'] = str(timestamp_ms)\n", " try:\n", " if textField_3hgho1m[name] ==\"\":\n", " tableField_lnsi0v71['employeeField_lmeqk424'] = textField_lmps6q39[data_NGV[\"city_name\"][i]] # 技术专家\n", " else:\n", " tableField_lnsi0v71['employeeField_lmeqk429'] = textField_3hgho1m[name] # 小六\n", " tableField_lnsi0v71['employeeField_lmeqk423'] = textField_qk1e5di[name] # 区域经理\n", " tableField_lnsi0v71['employeeField_lmeqk424'] = textField_nc7gskc[name] # 技术专家\n", " except:\n", " tableField_lnsi0v71['employeeField_lmeqk429'] = textField_lmps6q39[data_NGV[\"city_name\"][i]] # 小六\n", " tableField_lnsi0v71['employeeField_lmeqk423'] = ALL_DATA_staff[data_result.loc[i,\"area_manager\"]] # 区域经理\n", " tableField_lnsi0v71['employeeField_lmeqk424'] = textField_lmps6q39[data_NGV[\"city_name\"][i]] # 技术专家\n", " tableField_lnsi0v71['textField_lmu0523h'] = \"自动派发回访计划\" # 状态备用\n", " # 富文本 超链接 NGV\n", " try:\n", " form_data_ngv = read_instances_ngv(token=TOKEN, formUuid=\"FORM-ZK866D91O9LA4NIHCARG2DPIPCXF3Z087PPHL91\", page=1, n=100, searchField={'textField_zc1iowp': data_result.loc[i,\"org_code\"]})\n", " tableField_lnsi0v71['editorField_lodoplg0'] = [\"root\",{},[\"p\",{},[\"span\",{\"data-type\":\"text\"},[\"span\",{\"data-type\":\"leaf\"},\"\"]],[\"a\",{\"href\":\"https://f6car.aliwork.com/APP_UYZ0KG6L0CCNV80GZ66O/formDetail/FORM-ZK866D91O9LA4NIHCARG2DPIPCXF3Z087PPHL91?formInstId=\"+form_data_ngv['data'][0]['formInstanceId']+\"&isAdmin=true\"},[\"span\",{\"data-type\":\"text\"},[\"span\",{\"unlink\":{},\"data-type\":\"leaf\"},\"点击查看门店NGV\"]]],[\"span\",{\"data-type\":\"text\"},[\"span\",{\"unlink\":{},\"data-type\":\"leaf\"},\"\"]]]] # 富文本 超链接 NGV\n", " except:\n", " pass\n", " res=initiate_process(TOKEN,formUuid,processCode,tableField_lnsi0v71)\n", " print(res,tableField_lnsi0v71)" ] } ], "metadata": { "kernelspec": { "display_name": "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" } }, "nbformat": 4, "nbformat_minor": 2 }