{ "cells": [ { "cell_type": "markdown", "id": "4626da6c-d228-4270-8d8d-c98784a106ad", "metadata": {}, "source": [ "# 第一次体测" ] }, { "cell_type": "markdown", "id": "ba2deee7-9c63-4115-bcee-ad341175fc02", "metadata": {}, "source": [ "## 人员信息导入" ] }, { "cell_type": "code", "execution_count": null, "id": "dea5e486-6927-469f-aa57-e5efac4670be", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/农业银行测试名单.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 2).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 3).value\n", " if sheet.cell(n, 4).value ==1:\n", " sex = '男'\n", " else:\n", " sex = '女'\n", " dict1['sex'] = sex\n", " birth = str(sheet.cell(n, 5).value).split()[0]\n", " dict1['birth'] = birth\n", " dict1['unit'] = sheet.cell(n, 1).value\n", " if sheet.cell(n,10).value is not None:\n", " dict1['phone'] = sheet.cell(n, 10).value \n", " person[code] = dict1\n", "\n", "filename = 'data/北京农行人员名单.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "1c00e1e4-101a-4e9f-a7ed-9c65200d19df", "metadata": {}, "source": [ "## 成绩导入" ] }, { "cell_type": "code", "execution_count": null, "id": "fd73b8be-d3fe-49aa-99d2-3cc6df4a3eb0", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import time\n", "import csv\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/北京农行人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230521.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", " for line in fl:\n", " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", " list1.append(line)\n", "#print(list1)\n", "for result in list1:\n", " user = str(result[2])\n", " if user in dict1.keys(): \n", " m_item = str(result[3]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = dict1[user]['name']\n", " re_ta[user]['sex'] = dict1[user]['sex'] \n", " re_ta[user]['unit'] = dict1[user]['unit']\n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{}) \n", " score = int(result[4])/item[m_item]['divisor'] \n", " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", "print(len(re_ta))\n", "filename = 'data/result_北京农行.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" ] }, { "cell_type": "markdown", "id": "928790e6-d8a4-4b2b-852a-3c323380a80f", "metadata": {}, "source": [ "## 成绩导出" ] }, { "cell_type": "code", "execution_count": null, "id": "b870bd6e-f972-4073-b13d-5fda8cc92bb7", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", "title = ['编号','姓名','性别','单位','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", "\n", "filename = 'data/result_北京农行.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/北京农行人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", " \n", "list1 = []\n", "for k, v in dict1.items():\n", " list2 = []\n", " list2.append(str(k).rjust(5,'0'))\n", " list2.append(v['name']) \n", " list2.append(dict2[k]['sex'])\n", " list2.append(dict2[k]['unit'])\n", " for item in items:\n", " if item in v.keys():\n", " list2.append(v[item]['成绩']) \n", " elif item =='name':\n", " list2.append(v[item])\n", " else:\n", " list2.append('') \n", " list1.append(list2)\n", "filename = 'data/北京农行体测情况.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename)" ] }, { "cell_type": "markdown", "id": "dd2034ca-fe8b-4322-b06d-8c5eaf96373d", "metadata": {}, "source": [ "## 报告按部门分类更名" ] }, { "cell_type": "code", "execution_count": null, "id": "04967ec6-b9a0-4097-9e1f-8beaf8a9e75f", "metadata": { "tags": [] }, "outputs": [], "source": [ "import os,sys,shutil\n", "import json\n", "import math\n", "import glob\n", "from pathlib import Path\n", "\n", "fi_path = 'file/2023-05-23'\n", "old = []\n", "dict2 = {}\n", "\n", "filename = 'data/result_北京农行.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "for k, v in dict1.items():\n", " m_name = v['name']\n", " m_depart = v['unit'] \n", " dict2[int(k)] = [m_name,m_depart]\n", "\n", "fls = glob.glob(f'{fi_path}/*.pdf')\n", "\n", "for fn in fls:\n", " old.append(os.path.basename(fn).split('.')[0])\n", "\n", "for n in old: \n", " o_name = f'{fi_path}/{n}.pdf'\n", " new_path = Path(fi_path,'new',dict1[n]['unit'])\n", " new_path.mkdir(parents = True, exist_ok = True)\n", " n_name = Path(new_path,f'{str(n).rjust(5,\"0\")}-{dict2[int(n)][0]}.pdf')\n", " if not os.path.exists(n_name):\n", " shutil.copyfile(o_name,n_name)\n", " print(n_name)\n", " \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "515bc854-5745-4c38-8633-f56a078ea9a8", "metadata": { "execution": { "iopub.execute_input": "2023-05-25T09:28:28.615647Z", "iopub.status.busy": "2023-05-25T09:28:28.614774Z", "iopub.status.idle": "2023-05-25T09:28:28.619865Z", "shell.execute_reply": "2023-05-25T09:28:28.618821Z", "shell.execute_reply.started": "2023-05-25T09:28:28.615607Z" } }, "source": [ "## 生成人员电话信息表" ] }, { "cell_type": "code", "execution_count": null, "id": "c925d850-ff06-4be5-bf9f-31f4385c37c0", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "wb = openpyxl.load_workbook('data/农业银行测试手机号码统计表.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,5).value is not None:\n", " phone = str(sheet.cell(n, 5).value)\n", " dict1.setdefault(phone,{})\n", " code = str(sheet.cell(n, 2).value)\n", " unit = sheet.cell(n, 1).value\n", " name = sheet.cell(n, 3).value\n", " sex = sheet.cell(n, 4).value\n", " dict1[phone]['code'] = code\n", " dict1[phone]['name'] = name\n", " #dict1[phone]['unit'] = unit\n", " #dict1[phone]['sex'] = sex\n", "filename = 'data/农业银行测试手机号码.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False) \n", "print(len(dict1))\n" ] }, { "cell_type": "markdown", "id": "0f13e837-15d9-4dc6-b356-78b79bbb5b17", "metadata": {}, "source": [ "## 生成验证码" ] }, { "cell_type": "code", "execution_count": null, "id": "a87384c6-dc46-4d09-b757-b42462ed818d", "metadata": { "tags": [] }, "outputs": [], "source": [ "import random\n", "import json\n", "\n", "code_list = []\n", "for i in range(10): # 0~9\n", " code_list.append(str(i))\n", " \n", "list1 = []\n", "#print(code_num)\n", "i = 1\n", "while i < 165:\n", " code = random.sample(code_list,6) #随机取6位数\n", " code_num = ''.join(code)\n", " if code_num not in list1:\n", " list1.append(code_num)\n", " i +=1\n", "print(len(list1))\n", "print(list1)\n", "i = 0\n", "filename = 'data/农业银行测试手机号码.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "for k, v in dict1.items():\n", " dict1[k]['yzm'] = list1[i]\n", " i +=1\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False) " ] }, { "cell_type": "markdown", "id": "6efc1c2b-7af1-49ec-9b48-8930a8dd2801", "metadata": {}, "source": [ "## 生成下载链接" ] }, { "cell_type": "code", "execution_count": null, "id": "10845b90-48b4-4418-9dac-dd4a6f0147c0", "metadata": { "tags": [] }, "outputs": [], "source": [ "filename = 'data/农业银行测试手机号码.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "dict2 = {}\n", "for k, v in dict1.items():\n", " dict2.setdefault(v['yzm'],{})\n", " dict2[v['yzm']]['code'] = v['code']\n", " dict2[v['yzm']]['name'] = v['name']\n", "print(len(dict2))\n", "filename = 'data/yzm.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2, fl, ensure_ascii=False) \n" ] }, { "cell_type": "markdown", "id": "fba0a0c4-edf2-45c2-9199-c6a86919f191", "metadata": {}, "source": [ "## 发送短信" ] }, { "cell_type": "code", "execution_count": null, "id": "62733f52-62c1-43aa-964a-232eab8b5251", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "from tencentcloud.common import credential\n", "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n", "from tencentcloud.sms.v20210111 import sms_client, models\n", "from tencentcloud.common.profile.client_profile import ClientProfile\n", "from tencentcloud.common.profile.http_profile import HttpProfile\n", "try: \n", " secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n", " secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n", " cred = credential.Credential(secretId, secretKey) \n", " httpProfile = HttpProfile()\n", " httpProfile.reqMethod = \"POST\" # post请求(默认为post请求)\n", " httpProfile.reqTimeout = 30 # 请求超时时间，单位为秒(默认60秒)\n", " httpProfile.endpoint = \"sms.tencentcloudapi.com\" # 指定接入地域域名(默认就近接入)\n", " clientProfile = ClientProfile()\n", " clientProfile.signMethod = \"TC3-HMAC-SHA256\" # 指定签名算法\n", " clientProfile.language = \"en-US\"\n", " clientProfile.httpProfile = httpProfile\n", " client = sms_client.SmsClient(cred, \"ap-guangzhou\", clientProfile)\n", " req = models.SendSmsRequest()\n", " req.SmsSdkAppId = \"1400140089\"\n", " req.SignName = \"坤铭教育\"\n", " req.TemplateId = \"1875765\" \n", " req.TemplateParamSet = [\"北京石油分公司体测者\",\"01740518\"]\n", " req.PhoneNumberSet = [\"+8613793180751\"]\n", " req.SessionContext = \"\"\n", " req.ExtendCode = \"\"\n", " req.SenderId = \"\"\n", " resp = client.SendSms(req)\n", " print(resp.to_json_string(indent=2))\n", "except TencentCloudSDKException as err:\n", " print(err)" ] }, { "cell_type": "code", "execution_count": null, "id": "e924a0a9-65a5-49c4-bdf2-b9152d278ad5", "metadata": { "tags": [] }, "outputs": [], "source": [ "dict1 = json.loads(resp.to_json_string(indent=2))\n", "print(dict1['SendStatusSet'][0][\"Message\"])" ] }, { "cell_type": "markdown", "id": "c55a8af0-4e4d-4bd4-b5b1-0a7d9170958c", "metadata": {}, "source": [ "## 批量发送短信（测试）" ] }, { "cell_type": "code", "execution_count": null, "id": "910d1881-d090-48dc-ac87-685ccaaf9553", "metadata": { "tags": [] }, "outputs": [], "source": [ "\n", "from tencentcloud.common import credential\n", "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n", "from tencentcloud.sms.v20210111 import sms_client, models\n", "from tencentcloud.common.profile.client_profile import ClientProfile\n", "from tencentcloud.common.profile.http_profile import HttpProfile\n", "import json\n", "\n", "filename = 'data/短信测试手机号码.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "for k, v in dict1.items():\n", " phone = '+86'+str(k)\n", " yzm = v['yzm']\n", " try: \n", " secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n", " secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n", " cred = credential.Credential(secretId, secretKey) \n", " httpProfile = HttpProfile()\n", " httpProfile.reqMethod = \"POST\" # post请求(默认为post请求)\n", " httpProfile.reqTimeout = 30 # 请求超时时间，单位为秒(默认60秒)\n", " httpProfile.endpoint = \"sms.tencentcloudapi.com\" # 指定接入地域域名(默认就近接入)\n", " clientProfile = ClientProfile()\n", " clientProfile.signMethod = \"TC3-HMAC-SHA256\" # 指定签名算法\n", " clientProfile.language = \"en-US\"\n", " clientProfile.httpProfile = httpProfile\n", " client = sms_client.SmsClient(cred, \"ap-guangzhou\", clientProfile)\n", " req = models.SendSmsRequest()\n", " req.SmsSdkAppId = \"1400140089\"\n", " req.SignName = \"坤铭教育\"\n", " req.TemplateId = \"1808914\" \n", " req.TemplateParamSet = [yzm]\n", " req.PhoneNumberSet = [phone]\n", " req.SessionContext = \"\"\n", " req.ExtendCode = \"\"\n", " req.SenderId = \"\"\n", " #resp = client.SendSms(req)\n", " dict2 = json.loads(resp.to_json_string(indent=2))\n", "\n", " print(v['name'],dict2['SendStatusSet'][0][\"Message\"])\n", " except TencentCloudSDKException as err:\n", " print(v['name'],err)" ] }, { "cell_type": "markdown", "id": "59d38404-e097-4f08-a3fd-565e351f09bb", "metadata": {}, "source": [ "# 第二次体测" ] }, { "cell_type": "markdown", "id": "deeb7606-5752-4337-9117-4ba9edc762e9", "metadata": {}, "source": [ "## 人员信息导入" ] }, { "cell_type": "code", "execution_count": null, "id": "d803a2b2-4a61-42ba-84a3-e9846e3e9f5c", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/北京分行员工体质检测情况表.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 3).value\n", " if sheet.cell(n, 4).value ==1:\n", " sex = '男'\n", " else:\n", " sex = '女'\n", " dict1['sex'] = sex\n", " birth = str(sheet.cell(n, 5).value).split()[0]\n", " dict1['birth'] = birth\n", " dict1['unit'] = sheet.cell(n, 2).value\n", " if sheet.cell(n,6).value is not None:\n", " dict1['phone'] = sheet.cell(n, 6).value \n", " person[code] = dict1\n", "\n", "filename = 'data/北京农行人员名单2308.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "ff97823f-fd67-45ae-bd78-f209317be6b9", "metadata": {}, "source": [ "## 成绩导入" ] }, { "cell_type": "code", "execution_count": null, "id": "4adf86dd-addf-490a-9954-5dcac4693868", "metadata": {}, "outputs": [], "source": [ "import json\n", "import time\n", "import csv\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/北京农行人员名单2308.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230825.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", " for line in fl:\n", " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", " list1.append(line)\n", "#print(list1)\n", "for result in list1:\n", " user = str(result[2])\n", " if user in dict1.keys(): \n", " m_item = str(result[3]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = dict1[user]['name']\n", " re_ta[user]['sex'] = dict1[user]['sex'] \n", " re_ta[user]['unit'] = dict1[user]['unit']\n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{}) \n", " score = int(result[4])/item[m_item]['divisor'] \n", " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", "print(len(re_ta))\n", "filename = 'data/result_北京农行0825.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" ] }, { "cell_type": "code", "execution_count": null, "id": "bb01b9a9-418d-4a1b-8ea9-1215af0b8285", "metadata": {}, "outputs": [], "source": [ "import json\n", "import time\n", "import csv\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/北京农行人员名单2308.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230825.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", " for line in fl:\n", " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", " list1.append(line)\n", "#print(list1)\n", "for result in list1:\n", " user = str(result[2])\n", " if user in dict1.keys(): \n", " m_item = str(result[3]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = dict1[user]['name']\n", " re_ta[user]['sex'] = dict1[user]['sex'] \n", " re_ta[user]['unit'] = dict1[user]['unit']\n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{}) \n", " score = int(result[4])/item[m_item]['divisor'] \n", " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", "print(len(re_ta))\n", "filename = 'data/result_北京农行0825.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" ] }, { "cell_type": "markdown", "id": "4d2a0d63-4124-4063-96a7-a02478b9eabe", "metadata": {}, "source": [ "## 查看项目不足人员" ] }, { "cell_type": "code", "execution_count": null, "id": "b26857af-5fa3-42d0-bf79-bc33d9f5e4a8", "metadata": {}, "outputs": [], "source": [ "import json\n", "import time\n", "import csv\n", "\n", "filename = 'data/result_北京农行0825.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "i= 0\n", "for k, v in dict1.items():\n", " if len(v.keys())< 8:\n", " print(k,v['name'])" ] }, { "cell_type": "markdown", "id": "1966307c-4161-4c5b-b19a-b8a143972223", "metadata": {}, "source": [ "## 导出测试人员信息" ] }, { "cell_type": "code", "execution_count": null, "id": "288e39fb-b7e3-4566-ac13-ba98d7e72edb", "metadata": {}, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "\n", "filename = 'data/result_北京农行0825.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 =[]\n", "for k, v in dict1.items():\n", " list2 = []\n", " list2 = [k,v['name'],v['sex'],v['unit']]\n", " list1.append(list2)\n", "filename = 'data/北京农行测试人员202308.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename)" ] }, { "cell_type": "markdown", "id": "a42cb587-8673-4655-8943-3cbd63f22b73", "metadata": {}, "source": [ "## 检查性别" ] }, { "cell_type": "code", "execution_count": null, "id": "6352b95c-0e19-4943-9e99-218138213060", "metadata": {}, "outputs": [], "source": [ "import json\n", "\n", "\n", "filename = 'data/result_北京农行0825.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "for k, v in dict1.items():\n", " if v['sex'] == '男' and '一分钟仰卧起坐' in v.keys():\n", " print(k,'应为女性！')\n", " if v['sex'] == '女' and '俯卧撑' in v.keys():\n", " print(k,'应为男性！')" ] }, { "cell_type": "markdown", "id": "fddd68cd-b20c-4cf9-b503-5d59f52e3c1b", "metadata": {}, "source": [ "## 手工数据生成SQL" ] }, { "cell_type": "code", "execution_count": null, "id": "372294de-5370-41c0-9883-b18de9d8ef7e", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/北京农行测试人员202308.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "\n", "data1 =list(sheet.values)\n", "del data1[0]\n", "list1 = []\n", "for item in data1:\n", " code = int(item[0])\n", " list1.append((309118,code,5,item[4],'2023-08-23','2023-08-23 22:00:00'))\n", "print(list1)" ] }, { "cell_type": "code", "execution_count": null, "id": "93d4d513-17ee-4f20-bd86-be52398b5852", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 5 }