删除 体测单位/.ipynb_checkpoints/体测数据管理-checkpoint.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "dcfbd41f-ca70-4f15-9153-60e6aaac27e8",
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"metadata": {},
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"source": [
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"## 生成手机验证码"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "b68302b4-8fc1-4060-a10d-7f059f006f3c",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-07-11T11:45:00.310196Z",
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"iopub.status.busy": "2023-07-11T11:45:00.309336Z",
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"iopub.status.idle": "2023-07-11T11:45:00.344527Z",
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"shell.execute_reply": "2023-07-11T11:45:00.343903Z",
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"shell.execute_reply.started": "2023-07-11T11:45:00.310155Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"54\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import os,sys,shutil\n",
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"import json\n",
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"import math\n",
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"import glob\n",
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"import random\n",
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"from pathlib import Path\n",
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"import pymongo\n",
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"\n",
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"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
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"mydb = myclient[\"baogao\"]\n",
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"\n",
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"wb = openpyxl.load_workbook('data/北京石油分公司报告明细.xlsx')\n",
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"place_id = 419309\n",
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"dw_name = '北京石油分公司'\n",
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"fi_path = 'file/2023-06-15'\n",
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"fls = glob.glob(f'{fi_path}/*.pdf')\n",
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"\n",
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"code_list = []\n",
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"for i in range(10): # 0~9\n",
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" code_list.append(str(i))\n",
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" \n",
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"list1 = []\n",
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"i = 0\n",
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"while i < len(fls):\n",
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" code = random.sample(code_list,6) #随机取6位数\n",
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" code_num = ''.join(code)\n",
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" if code_num not in list1:\n",
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" list1.append(code_num)\n",
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" i +=1\n",
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"print(len(list1))\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"list2 = []\n",
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"i = 0\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" dict1 = {}\n",
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" phone = str(sheet.cell(n, 3).value)\n",
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" code = int(sheet.cell(n, 1).value)\n",
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" yzm = list1[i]\n",
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" i+=1\n",
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" dict1 = {'place_id':place_id,'code':yzm,'fn':str(code)+'.pdf'}\n",
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" list2.append(dict1)\n",
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"mycol = mydb[\"pdf\"]\n",
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"x = mycol.insert_many(list2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "a0a7cb45-4357-47a1-9094-e1500d072561",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-07-11T10:33:27.193601Z",
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"iopub.status.busy": "2023-07-11T10:33:27.192748Z",
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"iopub.status.idle": "2023-07-11T10:33:27.223006Z",
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"shell.execute_reply": "2023-07-11T10:33:27.221929Z",
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"shell.execute_reply.started": "2023-07-11T10:33:27.193559Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"54\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import os,sys,shutil\n",
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"import json\n",
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"import math\n",
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"import glob\n",
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"import random\n",
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"from pathlib import Path\n",
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"\n",
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"wb = openpyxl.load_workbook('data/北京石油分公司报告明细.xlsx')\n",
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"place_id = 1\n",
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"dw_name = '北京石油分公司'\n",
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"fi_path = 'file/2023-06-15'\n",
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"fls = glob.glob(f'{fi_path}/*.pdf')\n",
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"\n",
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"code_list = []\n",
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"for i in range(10): # 0~9\n",
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" code_list.append(str(i))\n",
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" \n",
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"list1 = []\n",
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"i = 0\n",
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"while i < len(fls):\n",
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" code = random.sample(code_list,6) #随机取6位数\n",
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" code_num = ''.join(code)\n",
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" if code_num not in list1:\n",
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" list1.append(code_num)\n",
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" i +=1\n",
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"print(len(list1))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f3311070-2b8d-4442-b7da-025e48ee7bd3",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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