{ "cells": [ { "cell_type": "markdown", "id": "04524c85-988e-4dbf-86eb-939a9db7aa28", "metadata": {}, "source": [ "## 体测人员导入" ] }, { "cell_type": "code", "execution_count": null, "id": "bbba6efc-73cd-4db6-bae7-014724fee731", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/新疆油田采油工艺研究院.xlsx',data_only=True)\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " code = int(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", " if sheet.cell(n,4).value is not None:\n", " dict1['unit'] = sheet.cell(n, 4).value\n", " else:\n", " dict1['unit'] = ''\n", " dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0]\n", " dict1['phone'] = sheet.cell(n, 6).value \n", " person[code] = dict1\n", "filename = 'data/新疆油田采油工艺研究院.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print(len(person),'ok')" ] }, { "cell_type": "code", "execution_count": null, "id": "de3144e7-544a-4430-bf69-3d20479d50c9", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/新疆油田采油工艺研究院-1.xlsx',data_only=True)\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " code = int(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", " if sheet.cell(n,4).value is not None:\n", " dict1['unit'] = sheet.cell(n, 4).value\n", " else:\n", " dict1['unit'] = ''\n", " dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0]\n", " dict1['phone'] = sheet.cell(n, 6).value \n", " person[code] = dict1\n", "filename = 'data/新疆油田采油工艺研究院-1.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print(len(person),'ok')" ] }, { "cell_type": "markdown", "id": "2ce125a6-a42f-4dd1-8c9c-a6a4ebcfce65", "metadata": {}, "source": [ "### 体测人员导入（2025年11月）" ] }, { "cell_type": "code", "execution_count": null, "id": "cac3736a-56da-403b-9e62-5caaf989a6d4", "metadata": {}, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/采油院11月份测试名单.xlsx',data_only=True)\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " code = int(sheet.cell(n, 2).value)\n", " person.setdefault(str(code), {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 1).value\n", " dict1['sex'] = sheet.cell(n, 4).value\n", " if sheet.cell(n,8).value is not None:\n", " dict1['unit'] = sheet.cell(n, 8).value\n", " else:\n", " dict1['unit'] = ''\n", " dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0]\n", " dict1['phone'] = sheet.cell(n,7).value \n", " person[code] = dict1\n", "filename = 'data/新疆油田采油工艺研究院-202511.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print(len(person),'ok')" ] }, { "cell_type": "markdown", "id": "22b07903-00a2-437a-b7fc-73723496fe50", "metadata": {}, "source": [ "### 体测人员导入（乒乓球高阶培训班）" ] }, { "cell_type": "code", "execution_count": 32, "id": "e08d1b73-ddbd-434e-a843-2c28803a7725", "metadata": { "execution": { "iopub.execute_input": "2025-12-22T10:51:18.804347Z", "iopub.status.busy": "2025-12-22T10:51:18.804029Z", "iopub.status.idle": "2025-12-22T10:51:18.825533Z", "shell.execute_reply": "2025-12-22T10:51:18.825029Z", "shell.execute_reply.started": "2025-12-22T10:51:18.804321Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "48 ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/新疆油田乒乓球高阶培训班成员名单.xlsx',data_only=True)\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " code = int(sheet.cell(n, 1).value)\n", " person.setdefault(str(code), {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 3).value\n", " dict1['sex'] = sheet.cell(n, 4).value\n", " if sheet.cell(n,2).value is not None:\n", " dict1['unit'] = sheet.cell(n, 2).value\n", " else:\n", " dict1['unit'] = ''\n", " dict1['birth'] = str(sheet.cell(n, 7).value).replace('/','-').split(' ')[0]\n", " dict1['phone'] = sheet.cell(n,6).value \n", " dict1['age'] = int(sheet.cell(n,5).value) \n", " dict1['month'] = int(sheet.cell(n,5).value)*12\n", " person[code] = dict1\n", "filename = 'data/新疆油田乒乓球高阶培训班.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print(len(person),'ok')" ] }, { "cell_type": "markdown", "id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "970e171e-1360-448f-a28c-520ccb8f314a", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import datetime\n", "import csv\n", "from datetime import date\n", "import my_module as My\n", "\n", "filename = 'data/新疆油田采油工艺研究院-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "filename = 'data/marks_20250813.csv'\n", "re_ta = My.get_result(filename,dict1)\n", "\n", "\n", "filename = 'data/result_新疆油田采油工艺研究院1.json'\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": "d1270459-e27a-46cc-b436-ec7e82b47be2", "metadata": {}, "outputs": [], "source": [ "import json\n", "import datetime\n", "import csv\n", "from datetime import date\n", "import my_module as My\n", "\n", "filename = 'data/新疆油田采油工艺研究院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "filename = 'data/marks_20250727.csv'\n", "re_ta = My.get_result(filename,dict1)\n", "\n", "\n", "filename = 'data/result_新疆油田采油工艺研究院.json'\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": 37, "id": "eb757f8a-8a98-47e5-a9db-a361da70dd54", "metadata": { "execution": { "iopub.execute_input": "2025-12-22T10:59:29.789147Z", "iopub.status.busy": "2025-12-22T10:59:29.788475Z", "iopub.status.idle": "2025-12-22T10:59:29.801239Z", "shell.execute_reply": "2025-12-22T10:59:29.800106Z", "shell.execute_reply.started": "2025-12-22T10:59:29.789091Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "24\n" ] } ], "source": [ "import json\n", "import datetime\n", "import csv\n", "from datetime import date\n", "import my_module as My\n", "\n", "filename = 'data/新疆油田乒乓球高阶培训班.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "filename = 'data/marks_20251222.csv'\n", "re_ta = My.get_result(filename,dict1)\n", "\n", "\n", "filename = 'data/result_新疆油田乒乓球高阶培训班.json'\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": "e75065f5-127e-49c9-bc1f-c0843ab1996b", "metadata": {}, "source": [ "## 获取人员测试成绩（202511）" ] }, { "cell_type": "code", "execution_count": null, "id": "925f7152-b365-4df8-8d98-73569aef68f8", "metadata": {}, "outputs": [], "source": [ "import json\n", "import datetime\n", "import csv\n", "from datetime import date\n", "import my_module as My\n", "\n", "filename = 'data/新疆油田采油工艺研究院-202511.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "filename = 'data/marks_20251203.csv'\n", "re_ta = My.get_result(filename,dict1)\n", "\n", "\n", "filename = 'data/result_新疆油田采油工艺研究院2511.json'\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": "6d381859-6d21-45d2-8313-55ebbabf8bd4", "metadata": {}, "source": [ "## 生成测试得分" ] }, { "cell_type": "code", "execution_count": 40, "id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b", "metadata": { "execution": { "iopub.execute_input": "2025-12-22T11:00:30.947600Z", "iopub.status.busy": "2025-12-22T11:00:30.946785Z", "iopub.status.idle": "2025-12-22T11:00:30.964388Z", "shell.execute_reply": "2025-12-22T11:00:30.963715Z", "shell.execute_reply.started": "2025-12-22T11:00:30.947526Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok!\n" ] } ], "source": [ "import json\n", "import time\n", "import my_module as My\n", "\n", "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", "filename = 'data/result_新疆油田乒乓球高阶培训班.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "for k, v in dict2.items():\n", " #print(k)\n", " if v['sex'] == '男':\n", " sex = 'M'\n", " else:\n", " sex = 'F' \n", " if 'bmi' in v.keys():\n", " #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n", " bmi_data = v['bmi']['成绩']\n", " data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n", " dict2[k]['bmi'] = {}\n", " dict2[k]['bmi']['成绩'] = bmi_data\n", " dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n", " for item_en in list_item:\n", " if item_en in v.keys(): \n", " data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n", " #print(k,v['name'])\n", " dict2[k][item_en]['score'] = My.cal_score(data1)\n", " #print(k,v[item_en]['成绩'],cal_score(data1))\n", "\n", "filename = f'data/result_新疆油田乒乓球高阶培训班.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", "print('ok!') " ] }, { "cell_type": "code", "execution_count": null, "id": "0e71f6b8-e17e-49f8-a577-7a2eb6f5e994", "metadata": {}, "outputs": [], "source": [ "import json\n", "import time\n", "import my_module as My\n", "\n", "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", "filename = 'data/result_新疆油田采油工艺研究院2511.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "for k, v in dict2.items():\n", " #print(k)\n", " if v['sex'] == '男':\n", " sex = 'M'\n", " else:\n", " sex = 'F' \n", " if 'bmi' in v.keys():\n", " #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n", " bmi_data = v['bmi']['成绩']\n", " data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n", " dict2[k]['bmi'] = {}\n", " dict2[k]['bmi']['成绩'] = bmi_data\n", " dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n", " for item_en in list_item:\n", " if item_en in v.keys(): \n", " data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n", " #print(k,v['name'])\n", " dict2[k][item_en]['score'] = My.cal_score(data1)\n", " #print(k,v[item_en]['成绩'],cal_score(data1))\n", "\n", "filename = f'data/result_新疆油田采油工艺研究院2511.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", "print('ok!') " ] }, { "cell_type": "markdown", "id": "d034a61d-1fbd-417b-99bd-277e43ebb678", "metadata": {}, "source": [ "## 导出测试人员信息" ] }, { "cell_type": "code", "execution_count": null, "id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n", "title = ['编号','姓名','性别','单位','部门','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_新疆油田采油工艺研究院1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/新疆油田采油工艺研究院-1.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", " if 'bmi' in v.keys():\n", " height = v['bmi']['成绩'].split(',')[0]\n", " weight = v['bmi']['成绩'].split(',')[1]\n", " list2.append(height)\n", " list2.append(weight)\n", " else:\n", " list2.append('')\n", " list2.append('')\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", " \n", " list1.append(list2)\n", "filename = 'data/新疆油田采油工艺研究院测试情况明细表（第二批）.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": "f44edca7-a1bd-4937-a290-bf80ea91dd5b", "metadata": {}, "source": [ "## 导出未体测人员" ] }, { "cell_type": "code", "execution_count": null, "id": "bf6b900f-1fcc-49c8-9b03-7723f9ca2429", "metadata": {}, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n", "title = ['编号','姓名','性别','单位','部门']\n", "\n", "filename = 'data/result_新疆油田采油工艺研究院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/新疆油田采油工艺研究院.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "print(dict1.keys()) \n", "list1 = []\n", "for k, v in dict2.items():\n", " \n", " if k not in dict1.keys():\n", " \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", " \n", " list1.append(list2)\n", "print(list1)\n", "filename = 'data/新疆油田采油工艺研究院未体测人员（截至20250725）.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": "44d5a1bf-b208-4a50-bea3-1019e737b7ab", "metadata": {}, "source": [ "## 统计体测日期" ] }, { "cell_type": "code", "execution_count": 26, "id": "f4fc0e48-5c8a-4ad9-817e-dd8dd1bf7b55", "metadata": { "execution": { "iopub.execute_input": "2025-12-18T14:06:54.465137Z", "iopub.status.busy": "2025-12-18T14:06:54.464816Z", "iopub.status.idle": "2025-12-18T14:06:54.472416Z", "shell.execute_reply": "2025-12-18T14:06:54.471751Z", "shell.execute_reply.started": "2025-12-18T14:06:54.465112Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2025-06-27 2025-07-02\n" ] } ], "source": [ "import json\n", "\n", "filename = 'data/result_南京化工-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "for k,v in dict1.items():\n", " if 'rq' in v.keys():\n", " list1.append(v['rq'])\n", "print(min(list1),max(list1))" ] }, { "cell_type": "markdown", "id": "699c6a40-a6ae-4300-9646-708cb85aa5e8", "metadata": {}, "source": [ "## 统计问卷人员情况" ] }, { "cell_type": "code", "execution_count": null, "id": "def3f47a-24ef-4815-b63b-2a16b79b4c15", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "\n", "filename = 'data/新疆油田采油工艺研究院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "phone1 = set()\n", "phone2 = set()\n", "for k,v in dict1.items():\n", " phone1.add(v['phone'])\n", "list1 = []\n", "filename = 'data/survey_records_20250725.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", " list1.append(line)\n", "\n", "i =1\n", "list2 = []\n", "for item in list1:\n", " code = int(item[3])\n", " for k, v in dict1.items():\n", " list3 = []\n", " if v['phone'] == code: \n", " list3.append(k)\n", " list3.append(v['name'])\n", " list3.append(v['sex'])\n", " list3.append(v['unit'])\n", " list3.append(code)\n", " list2.append(list3)\n", "filename = 'data/新疆油田采油工艺研究院问卷情况表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "#sheet.append(title)\n", "for row in list2:\n", " sheet.append(row)\n", " \n", "wb.save(filename) " ] }, { "cell_type": "code", "execution_count": null, "id": "9cb0172e-5f6c-4b47-8431-83dc5cc4601c", "metadata": {}, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "\n", "filename = 'data/新疆油田采油工艺研究院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "phone1 = set()\n", "phone2 = set()\n", "for k,v in dict1.items():\n", " phone1.add(v['phone'])\n", "list1 = []\n", "filename = 'data/survey_records_20250725.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", " list1.append(line)\n", "\n", "for item in list1:\n", " code = int(item[3]) \n", " content = json.loads(item[4])\n", " name = item[4]\n", " if code not in phone1: \n", " print(code,content['name'])" ] }, { "cell_type": "markdown", "id": "2528bc3c-bf40-4459-9c33-b795600a6cb1", "metadata": {}, "source": [ "## 导入问卷信息" ] }, { "cell_type": "code", "execution_count": null, "id": "2fa85089-8dc7-42f7-9ff3-c37cbe0899ed", "metadata": {}, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "dict1 = {}\n", "\n", "filename = 'data/result_新疆油田采油工艺研究院1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "filename = 'data/新疆油田采油工艺研究院-1.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "\n", "phone = {}\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone[v['phone']] = k\n", "\n", "list1 = []\n", "filename = 'data/survey_records_20251214.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", " list1.append(line)\n", "\n", "\n", "\n", "nn = 0\n", "for item in list1: \n", " if int(item[3]) in phone.keys():\n", " code = phone[int(item[3])]\n", " tcm = []\n", " spine = []\n", " for i in range(0,60):\n", " tcm.append(0)\n", " for i in range(0,26):\n", " spine.append(0)\n", " \n", " content = json.loads(item[4])\n", " if code not in dict1.keys():\n", " dict1[code] = dict3[code]\n", " rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n", " dict1[code]['rq'] = item[5].replace('/','-').split(' ')[0]\n", " for k, v in content.items():\n", " \n", " if 'tcm' in k:\n", " i = int(k[3:])\n", " tcm[i-1] = int(v)\n", " if 'spine' in k:\n", " i = int(k[5:])\n", " spine[i-1] = int(v)\n", " \n", " if 'tcm' in item[4]:\n", " \n", " dict1[code]['tcm'] = tcm\n", " if 'spine' in item[4]:\n", " for ii in range(25,23,-1):\n", " spine[ii] = spine[ii-1]\n", " spine[22] = 0 \n", " dict1[code]['spine'] = spine\n", " birth = date.fromisoformat(dict3[code]['birth'].replace('/','-'))\n", " rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n", " days = (rq-birth).days \n", " dict1[code]['age'] = int(days/365)\n", " dict1[code]['month'] = int(days/365*12)\n", " #print(phone[item[2]])\n", " nn+=1\n", "filename = 'data/result_新疆油田采油工艺研究院1-1.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False)\n", "print(nn)" ] }, { "cell_type": "code", "execution_count": null, "id": "b9a92b29-7112-459b-8c5a-4edd7e72457d", "metadata": {}, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "dict1 = {}\n", "\n", "filename = 'data/result_新疆油田采油工艺研究院1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "filename = 'data/新疆油田采油工艺研究院-1.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "\n", "phone = {}\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone[v['phone']] = k\n", "print(phone)\n", "list1 = []\n", "filename = 'data/survey_records_20250813.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", " list1.append(line)\n", "\n", "\n", "\n", "nn = 0\n", "for item in list1:\n", " content = json.loads(item[4])\n", " print(content)\n", " if 'phone' in content.keys() and int(content['phone']) in phone.keys():\n", " code = phone[int(content['phone'])] \n", " print(code)\n", " tcm = []\n", " spine = []\n", " for i in range(0,60):\n", " tcm.append(0)\n", " for i in range(0,26):\n", " spine.append(0)\n", " \n", " \n", " if code not in dict1.keys():\n", " dict1[code] = dict3[code]\n", " rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n", " dict1[code]['rq'] = item[5].replace('/','-').split(' ')[0]\n", " for k, v in content.items():\n", " \n", " if 'tcm' in k:\n", " i = int(k[3:])\n", " tcm[i-1] = int(v)\n", " if 'spine' in k:\n", " i = int(k[5:])\n", " spine[i-1] = int(v)\n", " \n", " if 'tcm' in item[4]:\n", " \n", " dict1[code]['tcm'] = tcm\n", " if 'spine' in item[4]:\n", " for ii in range(25,23,-1):\n", " spine[ii] = spine[ii-1]\n", " spine[22] = 0 \n", " dict1[code]['spine'] = spine\n", " birth = date.fromisoformat(dict3[code]['birth'].replace('/','-'))\n", " rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n", " days = (rq-birth).days \n", " dict1[code]['age'] = int(days/365)\n", " dict1[code]['month'] = int(days/365*12)\n", " #print(phone[item[2]])\n", " nn+=1\n", "filename = 'data/result_新疆油田采油工艺研究院1-1.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False)\n", "print(nn)" ] }, { "cell_type": "markdown", "id": "6eea20f8-b457-455e-8409-5c8cdaa1efb6", "metadata": {}, "source": [ "### 导入问卷信息(202511)" ] }, { "cell_type": "code", "execution_count": null, "id": "83872322-129c-410d-a9a3-ef6f4fe8dcde", "metadata": {}, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "list1 = []\n", "filename = 'data/sql_20251203.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", " list1.append(line)\n", "filename = 'data/新疆油田采油工艺研究院-202511.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "filename = 'data/result_新疆油田采油工艺研究院2511.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "phone = {}\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone[str(v['phone'])] = k\n", "\n", "\n", "\n", "nn = 0\n", "for item in list1:\n", " dict2 = {}\n", " \n", " phone_num = str(item[0])[2:]\n", " if phone_num in phone:\n", " content = json.loads(json.loads(item[1]))\n", " tcm = []\n", " spine = []\n", " for i in range(0,60):\n", " tcm.append(0)\n", " for i in range(0,26):\n", " spine.append(0)\n", " for k, v in content.items(): \n", " if 'tcm' in k:\n", " i = int(k[3:])\n", " tcm[i-1] = int(v)\n", " if 'spine' in k:\n", " i = int(k[5:])\n", " if i<23:\n", " spine[i-1] = int(v)\n", " else:\n", " spine[i] = int(v)\n", " \n", " code = phone[phone_num]\n", " if code in dict3.keys(): \n", " dict1[code]['tcm'] = tcm \n", " dict1[code]['spine'] = spine\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False)\n", "print(len(dict1))" ] }, { "cell_type": "markdown", "id": "27047aae-81ad-4996-85af-ec77c5f33db5", "metadata": {}, "source": [ "### 导入问卷信息(乒乓球高阶培训班)" ] }, { "cell_type": "code", "execution_count": 41, "id": "01ee701f-af8c-48ff-ad3c-2315c1ce16d7", "metadata": { "execution": { "iopub.execute_input": "2025-12-22T11:00:47.106304Z", "iopub.status.busy": "2025-12-22T11:00:47.105790Z", "iopub.status.idle": "2025-12-22T11:00:47.126495Z", "shell.execute_reply": "2025-12-22T11:00:47.125968Z", "shell.execute_reply.started": "2025-12-22T11:00:47.106259Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "24\n" ] } ], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "list1 = []\n", "filename = 'data/sql_20251222-1.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", " list1.append(line)\n", "filename = 'data/新疆油田乒乓球高阶培训班.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "filename = 'data/result_新疆油田乒乓球高阶培训班.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "phone = {}\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone[str(v['phone'])] = k\n", "\n", "\n", "\n", "nn = 0\n", "for item in list1:\n", " dict2 = {}\n", " \n", " phone_num = str(item[0])[2:]\n", " if phone_num in phone:\n", " content = json.loads(json.loads(item[1]))\n", " tcm = []\n", " spine = []\n", " psy = []\n", " for i in range(0,45):\n", " psy.append(0)\n", " psy[44] = []\n", " for i in range(0,60):\n", " tcm.append(0)\n", " for i in range(0,26):\n", " spine.append(0)\n", " for k, v in content.items(): \n", " if 'psy' in k:\n", " i = int(k[3:])\n", " psy[i-1] = int(v)\n", " if 'tcm' in k:\n", " i = int(k[3:])\n", " tcm[i-1] = int(v)\n", " if 'spine' in k:\n", " i = int(k[5:])\n", " if i<23:\n", " spine[i-1] = int(v)\n", " else:\n", " spine[i] = int(v)\n", " for i in range(26,40):\n", " new_valve = 1+psy[i]\n", " psy[i] = new_valve \n", " code = phone[phone_num]\n", " if code in dict3.keys(): \n", " dict1[code]['tcm'] = tcm \n", " dict1[code]['spine'] = spine\n", " dict1[code]['psy'] = psy\n", "filename = 'data/result_新疆油田乒乓球高阶培训班.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False)\n", "print(len(dict1))" ] }, { "cell_type": "markdown", "id": "8d5f4103-0d1e-4711-b324-ece360f8dcd3", "metadata": {}, "source": [ "## 生成报告" ] }, { "cell_type": "code", "execution_count": null, "id": "23ffd115-72a3-4f90-9e64-ffa6420df8a4", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "import openpyxl\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_新疆油田采油工艺研究院1-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "file_path ='./新疆油田采油工艺研究院1/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = []\n", "for k, v in dict1.items():\n", " list1 = []\n", " mydata = {}\n", " \n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '新疆油田采油工艺研究院'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female'\n", " \n", " mydata['month'] = v['month']\n", " mydata['fits'] = {}\n", " survey_list = ['tcm','psy57','spine']\n", " for item in survey_list:\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " mydata['surveys'][item] = v[item]\n", " \n", " \n", " #mydata['fits'] = {}\n", " for item in list_item:\n", " if item in v.keys():\n", " mydata.setdefault('fits',{})\n", " if item in ['lung','pushup','step','situp']:\n", " mark = v[item]['成绩'].split()[0].split('.')[0]\n", " else:\n", " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", " #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", " if len(mydata['fits']) >2 : \n", " list1.append(mydata)\n", " list2.append([k,v['name']])\n", " i+=1\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #print(mydata)\n", " #x.close()\n", "print(i)" ] }, { "cell_type": "code", "execution_count": null, "id": "694ad38e-755e-4885-94a9-c157ddc96564", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "import openpyxl\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_新疆油田采油工艺研究院2511.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "file_path ='./新疆油田采油工艺研究院2511/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = []\n", "for k, v in dict1.items():\n", " list1 = []\n", " mydata = {}\n", " \n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '新疆油田采油工艺研究院'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female'\n", " \n", " mydata['month'] = v['month']\n", " mydata['fits'] = {}\n", " survey_list = ['tcm','psy57','spine']\n", " for item in survey_list:\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " mydata['surveys'][item] = v[item]\n", " \n", " \n", " #mydata['fits'] = {}\n", " for item in list_item:\n", " if item in v.keys():\n", " mydata.setdefault('fits',{})\n", " if item in ['lung','pushup','step','situp']:\n", " mark = v[item]['成绩'].split()[0].split('.')[0]\n", " else:\n", " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", " #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", " if len(mydata['fits']) >2 : \n", " list1.append(mydata)\n", " list2.append([k,v['name']])\n", " i+=1\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #print(mydata)\n", " #x.close()\n", "print(i)" ] }, { "cell_type": "code", "execution_count": null, "id": "28790176-7666-4b2d-83a5-9207cb8ad757", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "import openpyxl\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_新疆油田采油工艺研究院2511.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "file_path ='./新疆油田采油工艺研究院2511/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = ['185','186','187','188','189','190','191','192','193','194','195','196','197','198']\n", "for k, v in dict1.items():\n", " if k in list2:\n", " list1 = []\n", " mydata = {}\n", " \n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '新疆油田采油工艺研究院'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female'\n", " \n", " mydata['month'] = v['month']\n", " mydata['fits'] = {}\n", " survey_list = ['tcm','psy57','spine']\n", " for item in survey_list:\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " mydata['surveys'][item] = v[item]\n", " \n", " \n", " #mydata['fits'] = {}\n", " for item in list_item:\n", " if item in v.keys():\n", " mydata.setdefault('fits',{})\n", " if item in ['lung','pushup','step','situp']:\n", " mark = v[item]['成绩'].split()[0].split('.')[0]\n", " else:\n", " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", " #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", " if len(mydata['fits']) >2 : \n", " list1.append(mydata)\n", " i+=1\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #print(mydata)\n", " #x.close()\n", "print(i)" ] }, { "cell_type": "code", "execution_count": 42, "id": "635709b0-5777-481f-8639-6988b8e31d82", "metadata": { "execution": { "iopub.execute_input": "2025-12-22T11:00:53.865364Z", "iopub.status.busy": "2025-12-22T11:00:53.864923Z", "iopub.status.idle": "2025-12-22T11:01:08.186681Z", "shell.execute_reply": "2025-12-22T11:01:08.186051Z", "shell.execute_reply.started": "2025-12-22T11:00:53.865321Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "24\n" ] } ], "source": [ "import requests\n", "import json\n", "import openpyxl\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_新疆油田乒乓球高阶培训班.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "file_path ='./新疆油田乒乓球高阶培训班/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "#list2 = ['185','186','187','188','189','190','191','192','193','194','195','196','197','198']\n", "for k, v in dict1.items():\n", " \n", " list1 = []\n", " mydata = {}\n", " \n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '新疆油田乒乓球高阶培训班'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female'\n", " \n", " mydata['month'] = v['month']\n", " mydata['fits'] = {}\n", " survey_list = ['tcm','psy','spine']\n", " for item in survey_list:\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " mydata['surveys'][item] = v[item]\n", " \n", " \n", " #mydata['fits'] = {}\n", " for item in list_item:\n", " if item in v.keys():\n", " mydata.setdefault('fits',{})\n", " if item in ['lung','pushup','step','situp']:\n", " mark = v[item]['成绩'].split()[0].split('.')[0]\n", " else:\n", " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", " if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", " #if len(mydata['fits']) >2 : \n", " list1.append(mydata)\n", " i+=1\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #print(mydata)\n", " #x.close()\n", "print(i)" ] }, { "cell_type": "markdown", "id": "ffb6c02a-8ae1-4332-96ca-ce541bfbf0be", "metadata": {}, "source": [ "## 问卷信息统计" ] }, { "cell_type": "code", "execution_count": null, "id": "d22061b2-0109-4d6c-90d7-c31d9e318add", "metadata": {}, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/sql_20251106.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", " list1.append(line)\n", "nn = 0\n", "for item in list1:\n", " dict2 = {}\n", " \n", " phone = str(item[0])[2:]\n", " content = json.loads(json.loads(item[1]))\n", " tcm = []\n", " for i in range(0,60):\n", " tcm.append(0)\n", " for k, v in content.items(): \n", " if 'tcm' not in k:\n", " dict2[k] = v\n", " else:\n", " i = int(k[3:])\n", " tcm[i-1] = int(v)\n", " \n", " code = phone\n", " dict1.setdefault(code,{})\n", " dict1[code]['name'] = content['name']\n", " if content['gender'] == 'male':\n", " dict1[code]['sex'] = '男'\n", " else:\n", " dict1[code]['sex'] = '女'\n", " dict1[code]['birth'] = str(content['birth'])\n", " dict1[code]['unit'] = '采油工艺研究院'\n", " #dict1[code]['phone'] = phone\n", " #dict1[code]['weight'] = dict2['weight']\n", " #dict1[code]['waist'] = dict2['waist']\n", " #dict1[code]['hip'] = dict2['hip']\n", " dict1[code]['tcm'] = tcm\n", "list1 = []\n", "for k, v in dict1.items():\n", " list2 = [k,v['name'],v['sex'],v['birth']]\n", " list1.append(list2)\n", "title =['手机号码','姓名','性别','出生年月']\n", "filename = 'data/采油工艺研究院问卷人员（截至20251105）.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": "code", "execution_count": null, "id": "73d28b6a-91be-47bb-bf76-1b8c26faafb5", "metadata": {}, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/sql_20251106.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", " list1.append(line)\n", "nn = 0\n", "for item in list1:\n", " dict2 = {}\n", " \n", " phone = str(item[0])[2:]\n", " content = json.loads(json.loads(item[1]))\n", " tcm = []\n", " spine = []\n", " for i in range(0,60):\n", " tcm.append(0)\n", " for i in range(0,26):\n", " spine.append(0)\n", " for k, v in content.items(): \n", " if 'tcm' in k:\n", " i = int(k[3:])\n", " tcm[i-1] = int(v)\n", " if 'spine' in k:\n", " i = int(k[5:])\n", " if i<23:\n", " spine[i-1] = int(v)\n", " else:\n", " spine[i] = int(v)\n", " \n", " code = phone\n", " dict1.setdefault(code,{})\n", " dict1[code]['name'] = content['name']\n", " if content['gender'] == 'male':\n", " dict1[code]['sex'] = '男'\n", " else:\n", " dict1[code]['sex'] = '女'\n", " dict1[code]['birth'] = str(content['birth'])+'-01'\n", " dict1[code]['unit'] = '采油工艺研究院'\n", " dict1[code]['tcm'] = tcm \n", " dict1[code]['spine'] = spine\n", " \n", "filename = 'data/result_新疆油田-2511-1.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False)\n", "print(len(dict1))" ] }, { "cell_type": "markdown", "id": "3a7bc501-6739-4b74-90f6-21066de637e2", "metadata": {}, "source": [ "## 生成问卷报告" ] }, { "cell_type": "code", "execution_count": null, "id": "cdbeb2f8-2784-4688-806a-6506799941cb", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "import openpyxl\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_新疆油田-2511-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "file_path ='./新疆油田-2511-1/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = []\n", "for k, v in dict1.items():\n", " list1 = []\n", " mydata = {}\n", " \n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '采油工艺研究院'\n", " mydata['subtitle'] = ''#v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female'\n", " \n", " mydata['month'] = 60\n", " mydata['fits'] = {}\n", " survey_list = ['tcm','psy57','spine']\n", " for item in survey_list:\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " mydata['surveys'][item] = v[item]\n", " \n", " \n", " #mydata['fits'] = {}\n", " for item in list_item:\n", " if item in v.keys():\n", " mydata.setdefault('fits',{})\n", " if item in ['lung','pushup','step','situp']:\n", " mark = v[item]['成绩'].split()[0].split('.')[0]\n", " else:\n", " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", " if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", " #if len(mydata['fits']) >2 : \n", " list1.append(mydata)\n", " list2.append([k,v['name']])\n", " i+=1\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #print(mydata)\n", " #x.close()\n", "print(i)" ] }, { "cell_type": "markdown", "id": "03a98563-9dc9-4faf-97c0-d504f00f2dc3", "metadata": { "execution": { "iopub.execute_input": "2025-12-14T08:18:47.657261Z", "iopub.status.busy": "2025-12-14T08:18:47.656588Z", "iopub.status.idle": "2025-12-14T08:18:47.662530Z", "shell.execute_reply": "2025-12-14T08:18:47.661420Z", "shell.execute_reply.started": "2025-12-14T08:18:47.657196Z" } }, "source": [ "## 生成体质检测报告" ] }, { "cell_type": "code", "execution_count": null, "id": "7791e71a-6eb0-4943-9aa4-9a2a0ebe6c43", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "import openpyxl\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_新疆油田采油工艺研究院-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "file_path ='./新疆油田第一批（脊柱）/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = []\n", "for k, v in dict1.items():\n", " list1 = []\n", " mydata = {}\n", " \n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '新疆油田采油工艺研究院'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female'\n", " \n", " mydata['month'] = 60\n", " mydata['fits'] = {}\n", " #survey_list = ['tcm','psy57','spine']\n", " survey_list = ['spine']\n", " for item in survey_list:\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " mydata['surveys'][item] = v[item]\n", " \n", " \n", " mydata['fits'] = {}\n", " \n", " if len(mydata['surveys']) >0:\n", " #if len(mydata['fits']) >2 : \n", " list1.append(mydata)\n", " list2.append([k,v['name']])\n", " i+=1\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #print(mydata)\n", " #x.close()\n", "print(i)" ] }, { "cell_type": "code", "execution_count": null, "id": "a24a10c2-bc1c-4675-b49d-b6e208190c61", "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "import openpyxl\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_新疆油田采油工艺研究院-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "file_path ='./新疆油田第一批（体质检测）/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = []\n", "for k, v in dict1.items():\n", " list1 = []\n", " mydata = {}\n", " \n", " #id = str(k).rjust(8,\"0\")\n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '新疆油田采油工艺研究院'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female'\n", " \n", " mydata['month'] = v['month']\n", " mydata['fits'] = {}\n", " #survey_list = ['tcm','psy','spine']\n", " #for item in survey_list:\n", " # if item in v.keys():\n", " # mydata.setdefault('surveys',{})\n", " # mydata['surveys'][item] = v[item]\n", " \n", " \n", " #mydata['fits'] = {}\n", " for item in list_item:\n", " if item in v.keys():\n", " mydata.setdefault('fits',{})\n", " if item in ['lung','pushup','step','situp']:\n", " mark = v[item]['成绩'].split()[0].split('.')[0]\n", " else:\n", " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", " #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", " if len(mydata['fits']) >2 : \n", " list1.append(mydata)\n", " list2.append([k,v['name']])\n", " i+=1\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #print(mydata)\n", " #x.close()\n", "print(i)" ] }, { "cell_type": "code", "execution_count": null, "id": "e50769a2-cf7b-4019-a5b9-f9d83e0bc374", "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": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }