{ "cells": [ { "cell_type": "markdown", "id": "4925cb3a-bea3-4a4d-9590-6b91b62ca5b4", "metadata": {}, "source": [ "# 体质检测管理" ] }, { "cell_type": "markdown", "id": "2a85feec-695b-4ea8-8093-91a59ed34c7f", "metadata": {}, "source": [ "## 体测单位信息导入" ] }, { "cell_type": "code", "execution_count": null, "id": "c5a0568c-3833-4335-a4b9-600310e1a541", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "import pymongo\n", "\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"tice\"]\n", "mycol = mydb[\"unit\"]\n", "\n", "name = '中国石油化工股份有限公司安庆炼化分公司'\n", "short_name = '安庆炼化'\n", "myquery = { \"name\": name}\n", "if mycol.find_one(myquery) is None: \n", " wb = openpyxl.load_workbook('data/中国石油化工股份有限公司安庆炼化分公司员工在职人员名单.xlsx')\n", " sheet = wb.active\n", " #sheets = wb.sheetnames\n", " depart = []\n", " dict1 = {}\n", " new_code = []\n", " for n in range(2,sheet.max_row+1):\n", " m_depart = sheet.cell(n,5).value\n", " if m_depart not in depart:\n", " depart.append(sheet.cell(n,5).value)\n", " #print(sheet.cell(n,5).value)\n", "\n", " dict1['name'] = '中国石油化工股份有限公司安庆炼化分公司'\n", " dict1['short_name'] = '安庆炼化'\n", " dict1['depart'] = depart\n", " mycol.insert_one(dict1)\n", " print('ok!')\n", "else:\n", " print('该单位已存在！') \n", " " ] }, { "cell_type": "markdown", "id": "bf42e8af-a506-4e60-a661-b4281e3fef54", "metadata": {}, "source": [ "## 录入体测信息" ] }, { "cell_type": "code", "execution_count": null, "id": "91a8f4f4-c417-4db7-94ba-2d3404e5c2c9", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pymongo\n", "from bson.objectid import ObjectId\n", "from dateutil import parser\n", "\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"tice\"]\n", "mycol = mydb[\"unit\"]\n", "mycol1 = mydb[\"event\"]\n", "dict1 = {}\n", "\n", "name = '中国石油化工股份有限公司安庆炼化分公司'\n", "myquery = { \"name\": name}\n", "dict1['code'] = 120\n", "dict1['unit'] = '中国石油化工股份有限公司安庆炼化分公司'\n", "dict1['address'] = '安徽安庆'\n", "dict1['date_begin'] ='2021-09-08'\n", "dict1['date_end'] = '2021-09-30'\n", "if mycol.find_one(myquery) is None: \n", " print('体测单位不存在！')\n", "else:\n", " myquery1 = { \"code\": dict1['code']}\n", " if mycol1.find_one(myquery1) is None:\n", " mycol1.insert_one(dict1)\n", " print('ok!')\n", " else:\n", " print('该体测信息已经存在！')" ] }, { "cell_type": "markdown", "id": "0c144068-4f2d-4901-bd28-725ecb260fd4", "metadata": {}, "source": [ "## 导出单位员工信息" ] }, { "cell_type": "code", "execution_count": null, "id": "d80c482d-aee2-45cf-8ac8-c357171f17f7", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "import pymongo\n", "from bson.objectid import ObjectId\n", "\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"tice\"]\n", "mycol = mydb[\"person\"]\n", "\n", "wb = openpyxl.load_workbook('data/中国石油化工股份有限公司安庆炼化分公司员工在职人员名单.xlsx')\n", "sheet = wb.active\n", "#sheets = wb.sheetnames\n", "list1 = []\n", "person = {}\n", "new_code = []\n", "for n in range(2,sheet.max_row+1):\n", " code = sheet.cell(n,1).value\n", " person.setdefault(code,{})\n", " dict1 = {} \n", " dict1['name'] = sheet.cell(n,2).value\n", " dict1['sex'] = sheet.cell(n,3).value\n", " dict1['unit'] = sheet.cell(n,5).value\n", " if sheet.cell(n,4).value is None:\n", " dict1['birth'] = sheet.cell(n,6).value\n", " else:\n", " dict1['id_num'] = sheet.cell(n,4).value\n", " person[code] = dict1\n", "filename = '安庆炼化人员名单.json'\n", "with open(filename,'w') as fl:\n", " json.dump(person, fl,ensure_ascii=False) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "54d4790d-973f-4ee6-abff-3d5ff962de23", "metadata": {}, "source": [ "## 获取测试人员名单导入数据库" ] }, { "cell_type": "code", "execution_count": null, "id": "82e1b982-3c88-4f01-ad94-49177c4a46f6", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import pymongo\n", "from bson.objectid import ObjectId\n", "\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"tice\"]\n", "mycol = mydb[\"person\"]\n", "\n", "db = pymysql.connect(\"localhost\",\"root\",\"songyi\",\"ydyb\" )\n", "cursor = db.cursor()\n", "\n", "place_id = 120\n", "exam_person = []\n", "sql = f'SELECT distinct a.avatar_id FROM places_result AS a WHERE a.place_id={place_id} and a.avatar_id < 4999 ORDER BY a.avatar_id '\n", "cursor.execute(sql)\n", "results = cursor.fetchall()\n", "cursor.close\n", "for result in results:\n", " exam_person.append(str(result[0]).rjust(5,'0'))\n", "\n", "filename = '安庆炼化人员名单.json'\n", "\n", "list1 = []\n", "list2 = []\n", "with open(filename,'r') as fl:\n", " all_person = json.load(fl)\n", "with open('result.json','r') as fl1:\n", " res = json.load(fl1)\n", "for k,v in all_person.items():\n", " if k in exam_person:\n", " dict2 = {}\n", " dict3 = {}\n", " dict2['name'] = v['name']\n", " if v['sex'] == '男':\n", " dict2['sex'] = 'M'\n", " else:\n", " dict2['sex'] = 'F'\n", " if 'birth' in v:\n", " s = str(v['birth'])\n", " dict2['birth'] = f'{s[:4]}-{s[4:6]}-{s[6:8]}'\n", " if 'id_num' in v:\n", " s = v['id_num']\n", " dict2['id_num'] = s\n", " dict2['birth'] = f'{s[6:10]}-{s[10:12]}-{s[12:14]}'\n", " dict2.setdefault('exam',[])\n", " dict3['code'] = 120\n", " dict3['sn'] = k\n", " dict3['result'] = res[k]\n", " dict2['exam'].append(dict3)\n", " list1.append(dict2)\n", "x = mycol.insert_many(list1)\n", "mycol1 = mydb[\"event\"]\n", "myquery = {'code':120}\n", "mycol1.update_one(myquery,{'$push':{'persons':x.inserted_ids}})\n", "print('ok!')" ] }, { "cell_type": "code", "execution_count": null, "id": "422270f4-5658-4869-8cc6-cf674ad95abf", "metadata": {}, "outputs": [], "source": [ "import json\n", "import pymongo\n", "from bson.objectid import ObjectId\n", "\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"tice\"]\n", "mycol = mydb[\"person1\"]\n", "\n", "db = pymysql.connect(\"localhost\",\"root\",\"songyi\",\"ydyb\" )\n", "cursor = db.cursor()\n", "\n", "place_id = 120\n", "exam_person = []\n", "sql = f'SELECT distinct a.avatar_id FROM places_result AS a WHERE a.place_id={place_id} and a.avatar_id < 4999 ORDER BY a.avatar_id '\n", "cursor.execute(sql)\n", "results = cursor.fetchall()\n", "cursor.close\n", "for result in results:\n", " exam_person.append(str(result[0]).rjust(5,'0'))\n", "\n", "filename = '安庆炼化人员名单.json'\n", "\n", "list1 = []\n", "list2 = []\n", "with open(filename,'r') as fl:\n", " all_person = json.load(fl)\n", "with open('result.json','r') as fl1:\n", " res = json.load(fl1)\n", "for k,v in all_person.items():\n", " if k in exam_person:\n", " dict2 = {}\n", " dict3 = {}\n", " dict2['name'] = v['name']\n", " if v['sex'] == '男':\n", " dict2['sex'] = 'M'\n", " else:\n", " dict2['sex'] = 'F'\n", " if 'birth' in v:\n", " s = str(v['birth'])\n", " dict2['birth'] = f'{s[:4]}-{s[4:6]}-{s[6:8]}'\n", " if 'id_num' in v:\n", " s = v['id_num']\n", " dict2['id_num'] = s\n", " dict2['birth'] = f'{s[6:10]}-{s[10:12]}-{s[12:14]}'\n", " dict2.setdefault('exam',[])\n", " dict3['code'] = 120\n", " dict3['sn'] = k\n", " dict3['result'] = res[k]\n", " dict2['exam'].append(dict3)\n", " list1.append(dict2)\n", "x = mycol.insert_many(list1)\n", "mycol1 = mydb[\"event\"]\n", "myquery = {'code':120}\n", "mycol1.update_one(myquery,{'$push':{'persons':x.inserted_ids}})\n", "print('ok!')" ] }, { "cell_type": "markdown", "id": "95ad1920-1393-4830-a48a-540070b51a09", "metadata": {}, "source": [ "## 测试项目添加测试人员名单" ] }, { "cell_type": "code", "execution_count": null, "id": "adf13de2-8205-4511-a655-75989440967e", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "from bson.objectid import ObjectId\n", "import pymongo\n", "import pymysql\n", "\n", "db = pymysql.connect(\"localhost\",\"root\",\"songyi\",\"ydyb\" )\n", "cursor = db.cursor()\n", "\n", "list1 = []\n", "sql = f'SELECT distinct a.avatar_id FROM places_result AS a WHERE a.place_id={place_id} and a.avatar_id < 4999 ORDER BY a.avatar_id '\n", "cursor.execute(sql)\n", "results = cursor.fetchall()\n", "cursor.close\n", "for result in results:\n", " list1.append(str(result[0]).rjust(5,'0'))\n", "\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"tice\"]\n", "mycol = mydb[\"event\"]\n", "myquery = {'code':120}\n", "mycol.update_one(myquery,{'$push':{'persons':list1}})\n", " \n", "print('ok')\n", " \n", " " ] }, { "cell_type": "markdown", "id": "2bb3cbdd-9fe1-4345-8c5a-53acb1a386de", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "910c3fcd-121a-42c0-9465-ad79a5829239", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pymysql\n", "import json\n", "import time\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", "user_id = 5\n", "place_id =120\n", "#user = '包永'\n", "db = pymysql.connect(\"localhost\",\"root\",\"songyi\",\"ydyb\" )\n", "cursor = db.cursor()\n", "\n", "sql = f'SELECT a.item_id,a.performance,a.score,DATE_FORMAT(a.date,\"%Y-%m-%d\") as date1,a.avatar_id FROM places_result AS a WHERE a.place_id={place_id} AND a.avatar_id < 4999 ORDER BY a.avatar_id,date1'\n", "cursor.execute(sql)\n", "re_ta = {}\n", "dict1 = {}\n", "print(\"\\n运动项目信息：\")\n", "results = cursor.fetchall()\n", "for result in results: \n", " user = str(result[4]).rjust(5,'0')\n", " m_item = str(result[0])\n", " \n", " re_ta.setdefault(user,{})\n", " re_ta[user]['date'] =result[3]\n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{})\n", " \n", " #dict1.setdefault(item[m_item]['name'],{})\n", " score = result[1]/item[m_item]['divisor']\n", " #dict1[item[m_item]['name']]['成绩'] =f'{score} {item[m_item][\"unit\"]}'\n", " #dict1[item[m_item]['name']]['得分'] =result[2]\n", " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", " re_ta[user][item_name]['得分'] =result[2]\n", " \n", " #re_ta[user] = dict1\n", " #print(re_ta)\n", "filename = 'result.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl,ensure_ascii=False) \n", "print('ok')\n" ] }, { "cell_type": "markdown", "id": "43cc57b0-aebc-4315-b48f-9268e754bebb", "metadata": {}, "source": [ "## 读取体测报告信息" ] }, { "cell_type": "code", "execution_count": null, "id": "5ac5e20c-c836-4ea4-a62c-acafbdb636e0", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pdfplumber\n", "\n", "# 读取 PDF 文档\n", "pdf = pdfplumber.open(\"5.pdf\")\n", "\n", "# 获取页数\n", "print(\"总页数：\",len(pdf.pages))\n", "print(\"-----------------------------------------\")\n", "\n", "# 读取第 4 页；索引从 1 开始\n", "page = pdf.pages[1] \n", "print(\"本页：\",page.page_number + 1)\n", "print(\"-----------------------------------------\")\n", "text = page.extract_text()\n", "#for s in text:\n", "# print(s)\n", "print(text)\n", "print(text.split('\\n'))" ] }, { "cell_type": "code", "execution_count": null, "id": "957b1771-7da1-4ecd-a2b8-889c288b2789", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pdfplumber\n", "import pymysql\n", "\"\"\"获取人员测试成绩\"\"\"\n", "user_id = 5\n", "place_id =120\n", "db = pymysql.connect(\"localhost\",\"root\",\"songyi\",\"ydyb\" )\n", "cursor = db.cursor()\n", "sql = f'SELECT a.item_id,a.performance,a.score,a.date FROM places_result AS a WHERE a.place_id={place_id} AND a.avatar_id={user_id}'\n", "cursor.execute(sql)\n", "re_ta = {}\n", "print(\"\\n运动项目信息：\")\n", "results = cursor.fetchall()\n", "for result in results:\n", "# print (\"%d--%s\" %(result[0],result[1]))\n", " re_ta[result[0]] = result[1]\n", "\n", "dict1 = {}\n", "\n", "# 读取 PDF 文档\n", "pdf = pdfplumber.open(\"5.pdf\")\n", "\n", "# 获取页数\n", "num = len(pdf.pages)\n", "page = pdf.pages[0] \n", "text = page.extract_text()\n", "dict1['name'] = text.split('\\n')[2]\n", "dict1['sn'] = text.split('\\n')[4]\n", "\n", "\n", "print(dict1)" ] }, { "cell_type": "markdown", "id": "81b0babc-5da8-43b2-b81a-61db0e7e301b", "metadata": { "execution": { "iopub.execute_input": "2021-10-12T13:21:30.438009Z", "iopub.status.busy": "2021-10-12T13:21:30.437074Z", "iopub.status.idle": "2021-10-12T13:21:30.449886Z", "shell.execute_reply": "2021-10-12T13:21:30.447584Z", "shell.execute_reply.started": "2021-10-12T13:21:30.437900Z" } }, "source": [ "## 体测项目信息" ] }, { "cell_type": "code", "execution_count": null, "id": "6531259c-9727-44f7-9ec3-d6dbe9b76987", "metadata": { "tags": [] }, "outputs": [], "source": [ "import pymysql\n", "import json\n", "\n", "db = pymysql.connect(\"localhost\",\"root\",\"songyi\",\"ydyb\" )\n", "cursor = db.cursor()\n", "sql = \"SELECT a.id,a.name, b.name,b.divisor FROM items AS a,items_unit AS b WHERE a.unit_id = b.id\"\n", "cursor.execute(sql)\n", "dict1 = {}\n", "\n", "results = cursor.fetchall()\n", "for result in results:\n", "# print (\"%d--%s\" %(result[0],result[1]))\n", " item = {}\n", " id = result[0]\n", " dict1.setdefault(id,{})\n", " item['name'] = result[1]\n", " item['unit'] = result[2]\n", " item['divisor'] = result[3]\n", " dict1[id] = item\n", "filename = 'item.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl,ensure_ascii=False) \n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " print(k,v)" ] }, { "cell_type": "code", "execution_count": null, "id": "9af74d66-b410-4fbf-afcd-9884174e6841", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "filename = 'item.json'\n", "item = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "print(item['1'])" ] }, { "cell_type": "markdown", "id": "c47e9547-d896-4fe2-8f70-8635c92fa792", "metadata": {}, "source": [ "## 压缩体测报告" ] }, { "cell_type": "code", "execution_count": null, "id": "1ccab0f2-448b-4423-ae21-aa1c0f6470da", "metadata": { "tags": [] }, "outputs": [], "source": [ "from pdf2image import convert_from_path, convert_from_bytes\n", "import img2pdf \n", "import glob\n", "import os,sys\n", "import tempfile\n", "from pdf2image.exceptions import (\n", " PDFInfoNotInstalledError,\n", " PDFPageCountError,\n", " PDFSyntaxError\n", ")\n", "#images = convert_from_path('1.pdf',dpi=200,fmt='jpg', output_folder='./sample_data')\n", "fl_path = 'file/210924'\n", "new_path ='file/new'\n", "old = glob.glob(f'{fl_path}/*.pdf')\n", "old.sort()\n", "for old_file in old:\n", " s = os.path.basename(old_file).split('.')[0].rjust(5,'0')\n", " new_file = f'{new_path}/{s}.pdf'\n", " \n", " with tempfile.TemporaryDirectory() as path:\n", " images_from_path = convert_from_path(old_file, dpi=100,fmt='jpg', output_folder=path)\n", " fl=glob.glob(f'{path}/*.jpg')\n", " fl.sort()\n", " a4inpt = (img2pdf.mm_to_pt(210),img2pdf.mm_to_pt(297))\n", " layout_fun = img2pdf.get_layout_fun(a4inpt)\n", " with open(new_file,\"wb\") as f:\n", " f.write(img2pdf.convert(fl,layout_fun=layout_fun))\n", "\n", "\n", " #print(path)\n", "\n", " print(new_file,'ok')\n", "#print(old)\n" ] }, { "cell_type": "markdown", "id": "9f572c02-4a9b-42c1-b6c5-e37f41bbeca1", "metadata": {}, "source": [ "## 上传体测报告" ] }, { "cell_type": "code", "execution_count": null, "id": "809fa112-1bf8-4509-a5a6-cfad88f9cbf5", "metadata": { "tags": [] }, "outputs": [], "source": [ "import glob\n", "import os,sys\n", "import pymongo\n", "from gridfs import GridFS\n", "from bson.objectid import ObjectId\n", "\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"tice\"]\n", "mycol = mydb[\"event\"]\n", "\n", "UploadCache = \"uploadcache\"\n", "dbURL = \"mongodb://localhost:27017\"\n", "\n", "#上传文件\n", "def upLoadFile(file_coll,file_name,data_link):\n", " \n", " filter_condition = {\"filename\": os.path.basename(file_name), \"url\": data_link}\n", " gridfs_col = GridFS(mydb, collection=file_coll)\n", " file_ = \"0\"\n", " query = {\"filename\":\"\"}\n", " query[\"filename\"] = file_name\n", "\n", " if gridfs_col.exists(query):\n", " print('已经存在该文件')\n", " else:\n", "\n", " with open(file_name, 'rb') as file_r:\n", " file_data = file_r.read()\n", " file_ = gridfs_col.put(data=file_data, **filter_condition) # 上传到gridfs\n", "\n", " print(file_)\n", "\n", "\n", " return file_ \n", "\n", "\n", "dict1 = {}\n", "list1 = []\n", "#mycol.update_one(myquery,{'$push':{'persons':list1}})\n", "fl_path = 'file/new'\n", "fl=glob.glob(f'{fl_path}/*.pdf')\n", "fl.sort()\n", "for fi in fl:\n", " s = os.path.basename(fi).split('.')[0]\n", " #print(s) \n", " dict1[s] = upLoadFile(\"report\",fi,\"\")\n", " \n", " print(s)\n", "myquery = {'code':120}\n", "mycol.update_one(myquery,{'$set':{'report':dict1}})\n", " \n" ] }, { "cell_type": "markdown", "id": "8af1a4bc-2aee-46bd-9f8c-b7f26093541b", "metadata": {}, "source": [ "## 查询体测报告" ] }, { "cell_type": "code", "execution_count": null, "id": "1c802046-3931-444a-8a66-75a853ac2467", "metadata": { "tags": [] }, "outputs": [], "source": [ "import glob\n", "import os,sys\n", "import pymongo\n", "from gridfs import GridFS\n", "from bson.objectid import ObjectId\n", "\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"tice\"]\n", "mycol = mydb[\"event\"]\n", "sn = '00005'\n", "s = f'report.{sn}'\n", "myquery = {s:{'$exists':True},'code':120}\n", "x = mycol.find_one(myquery,{s:1})\n", "if x:\n", " print(x['report'][sn])\n", " \n", "else:\n", " print('no record!')\n", "#print(type(x))" ] }, { "cell_type": "markdown", "id": "c67fc14e-ccf8-41c5-a0f8-0c3a664eb484", "metadata": {}, "source": [ "## 脊椎代码表导入" ] }, { "cell_type": "code", "execution_count": null, "id": "1d98a8d7-c888-4630-abec-de85851e4342", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", " \n", "wb = openpyxl.load_workbook('file/脊柱症状自我诊断表代码表.xlsx')\n", "sheet = wb.active\n", "#sheets = wb.sheetnames\n", "dict1 = {}\n", "for n in range(1,sheet.max_row+1):\n", " dict1[sheet.cell(n,1).value] = sheet.cell(n,2).value \n", "filename = '脊柱症状自我诊断表代码表.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl,ensure_ascii=False) \n", "print(dict1)\n" ] }, { "cell_type": "markdown", "id": "36717021-5c0e-40d6-8988-dfe8ec309275", "metadata": {}, "source": [ "## 脊椎症状自我诊断表导入" ] }, { "cell_type": "code", "execution_count": null, "id": "9e33d1bc-1b71-47f7-928a-16ec435449d6", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "with open('脊柱症状自我诊断表代码表.json','r') as fl:\n", " dm = json.load(fl)\n", "wb = openpyxl.load_workbook('file/脊柱症状自我诊断表统计.xlsx')\n", "sheet = wb.active\n", "#sheets = wb.sheetnames\n", "dict1 = {}\n", "for n in range(1,sheet.max_row+1):\n", " mdm = sheet.cell(n,1).value\n", " dict1.setdefault(mdm,{})\n", " dict2 = {}\n", " list1 = []\n", " for i in range(2,36):\n", " if sheet.cell(n,i).value is None:\n", " break\n", " else:\n", " s = str(sheet.cell(n,i).value)\n", " if s.isnumeric(): \n", " list1.append(dm[s])\n", " else:\n", " dict2['备注'] = s\n", " dict2['症状'] = list1\n", " dict1[mdm] = dict2\n", "filename = '脊柱症状自我诊断表统计.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl,ensure_ascii=False) \n", "print('ok')" ] }, { "cell_type": "code", "execution_count": null, "id": "607638c1-9cfe-442a-9823-3b506ce04db6", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.8.10" }, "toc-showtags": false }, "nbformat": 4, "nbformat_minor": 5 }