diff --git a/体测单位/东营老年大学.ipynb b/体测单位/东营老年大学.ipynb index 0ae724f..fca334d 100644 --- a/体测单位/东营老年大学.ipynb +++ b/体测单位/东营老年大学.ipynb @@ -10,15 +10,15 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 58, "id": "bbba6efc-73cd-4db6-bae7-014724fee731", "metadata": { "execution": { - "iopub.execute_input": "2024-09-18T02:16:02.586698Z", - "iopub.status.busy": "2024-09-18T02:16:02.585914Z", - "iopub.status.idle": "2024-09-18T02:16:02.620560Z", - "shell.execute_reply": "2024-09-18T02:16:02.620084Z", - "shell.execute_reply.started": "2024-09-18T02:16:02.586621Z" + "iopub.execute_input": "2024-12-23T05:16:55.108154Z", + "iopub.status.busy": "2024-12-23T05:16:55.107437Z", + "iopub.status.idle": "2024-12-23T05:16:55.138579Z", + "shell.execute_reply": "2024-12-23T05:16:55.138007Z", + "shell.execute_reply.started": "2024-12-23T05:16:55.108086Z" }, "tags": [] }, @@ -27,6 +27,7 @@ "name": "stdout", "output_type": "stream", "text": [ + "89\n", "ok\n" ] } @@ -36,49 +37,49 @@ "import json\n", "from datetime import date\n", "\n", - "wb = openpyxl.load_workbook('data/北体体质康健.xlsx')\n", + "wb = openpyxl.load_workbook('data/北体体质康健2班.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", - "for n in range(1, sheet.max_row+1):\n", + "for n in range(3, 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", - " dict1['unit'] = '北体体质康健班'\n", - " dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n", - " if sheet.cell(n,5).value is not None:\n", - " dict1['phone'] = str(sheet.cell(n,5).value) \n", + " dict1['name'] = sheet.cell(n, 3).value\n", + " dict1['sex'] = sheet.cell(n, 4).value\n", + " dict1['unit'] = sheet.cell(n, 2).value\n", + " dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0]\n", + " dict1['age'] = sheet.cell(n, 6).value\n", + " if sheet.cell(n,7).value is not None:\n", + " dict1['phone'] = str(sheet.cell(n,7).value) \n", " person[code] = dict1\n", - "filename = 'data/北体体质康健.json'\n", + "filename = 'data/北体体质康健班202412.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", + "print(len(person))\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f", - "metadata": { - "jp-MarkdownHeadingCollapsed": true - }, + "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 51, "id": "970e171e-1360-448f-a28c-520ccb8f314a", "metadata": { "execution": { - "iopub.execute_input": "2024-09-18T02:17:10.941442Z", - "iopub.status.busy": "2024-09-18T02:17:10.940669Z", - "iopub.status.idle": "2024-09-18T02:17:10.997800Z", - "shell.execute_reply": "2024-09-18T02:17:10.997322Z", - "shell.execute_reply.started": "2024-09-18T02:17:10.941368Z" + "iopub.execute_input": "2024-12-23T02:18:32.436129Z", + "iopub.status.busy": "2024-12-23T02:18:32.435385Z", + "iopub.status.idle": "2024-12-23T02:18:32.449327Z", + "shell.execute_reply": "2024-12-23T02:18:32.448323Z", + "shell.execute_reply.started": "2024-12-23T02:18:32.436058Z" }, "tags": [] }, @@ -87,8 +88,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "87\n", - "87\n" + "67\n" ] } ], @@ -98,78 +98,51 @@ "import csv\n", "from datetime import date\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", - "item['1']['en'] = 'lung'\n", - "item['2']['en'] = 'grip'\n", - "item['3']['en'] = 'flexion'\n", - "item['4']['en'] = 'jump'\n", - "item['5']['en'] = 'pushup'\n", - "item['6']['en'] = 'balance'\n", - "item['7']['en'] = 'reaction'\n", - "item['8']['en'] = 'step'\n", - "item['9']['en'] = 'situp'\n", - "item['10']['en'] = 'height'\n", - "item['11']['en'] = 'weight'\n", - "\n", "\n", "re_ta = {}\n", - "dict1 = {}\n", "list1 = []\n", - "filename = 'data/北体体质康健.json'\n", + "filename = 'data/北体体质康健班202412.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", - "filename = 'data/places_result_20240918.csv'\n", + "filename = 'data/marks_20241222.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", - "#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n", - "#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + "\n", "for result in list1:\n", " user = str(result[2])\n", - " rq = date.fromisoformat(result[6].replace('/','-'))\n", + " rq = date.fromisoformat(result[5].replace('/','-'))\n", " if user in dict1.keys():\n", " l_xm = []\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]['birth'] = dict1[user]['birth']\n", + " re_ta[user]['unit'] = dict1[user]['unit']\n", " if 'phone' in dict1[user].keys():\n", " re_ta[user]['phone'] = dict1[user]['phone']\n", " if dict1[user]['sex'] == '男':\n", - " l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + " l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n", " else:\n", - " l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n", - " re_ta[user]['unit'] = dict1[user]['unit']\n", - " #birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n", - " birth = date.fromisoformat(dict1[user]['birth'])\n", - " #nian = int(birth[0].strip())\n", - " #yue = int(birth[1].strip())\n", - " #ri = int(birth[2].strip())\n", - " #print(k,nian,yue,ri)\n", - " item_name = item[m_item]['en'] \n", + " l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n", + " #re_ta[user]['unit'] = dict1[user]['unit']\n", + " birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n", + " item_name = result[3] \n", " if item_name in l_xm: \n", " days = (rq-birth).days \n", " re_ta[user]['age'] = int(days/365)\n", " re_ta[user]['month'] = int(days/365*12)\n", - " re_ta[user]['rq'] = result[6]\n", - "\n", - "\n", + " re_ta[user]['rq'] = result[5]\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_北体体质康健.json'\n", + " score = result[4] \n", + " re_ta[user][item_name]['成绩'] = score\n", "\n", + "filename = 'data/result_北体体质康健班202412.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" @@ -177,19 +150,90 @@ }, { "cell_type": "markdown", - "id": "d034a61d-1fbd-417b-99bd-277e43ebb678", + "id": "74ec60b7-b1d9-488d-95fa-4ddd020c2a4c", + "metadata": {}, + "source": [ + "## 生成测试得分" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "c3b99428-00d5-45ea-9803-261194525fa4", "metadata": { - "jp-MarkdownHeadingCollapsed": true + "execution": { + "iopub.execute_input": "2024-12-23T02:18:35.914475Z", + "iopub.status.busy": "2024-12-23T02:18:35.913744Z", + "iopub.status.idle": "2024-12-23T02:18:35.934796Z", + "shell.execute_reply": "2024-12-23T02:18:35.933710Z", + "shell.execute_reply.started": "2024-12-23T02:18:35.914405Z" + } }, + "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_北体体质康健班202412.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_北体体质康健班202412.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, + "execution_count": 53, "id": "0c60a509-dfc0-426a-a44e-e9a760139463", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-23T02:18:43.101468Z", + "iopub.status.busy": "2024-12-23T02:18:43.100822Z", + "iopub.status.idle": "2024-12-23T02:18:43.133068Z", + "shell.execute_reply": "2024-12-23T02:18:43.132432Z", + "shell.execute_reply.started": "2024-12-23T02:18:43.101408Z" + }, "tags": [] }, "outputs": [], @@ -198,82 +242,81 @@ "import openpyxl\n", "\n", "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n", - "bmi = ['height','weight']\n", - "title = ['编号','姓名','性别','身高','体重','bmi','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/727410_pdf.json'\n", + "filename = 'data/result_北体体质康健班202412.json'\n", "with open(filename,'r') as fl:\n", - " list2 = json.load(fl)\n", + " dict1 = json.load(fl)\n", "\n", - "list1 = []\n", - "for xm in list2: \n", - " list2 = []\n", - " list2.append(xm['id'].rjust(3,'0'))\n", - " list2.append(xm['name']) \n", - " list2.append(xm['gender']) \n", + "filename = 'data/北体体质康健班202412.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", " \n", - " i = 0\n", - " if 'bmi' in xm['fits'].keys():\n", - " m_bmi = xm['fits']['bmi']['mark']\n", - " list2.append(m_bmi.split(',')[0])\n", - " list2.append(m_bmi.split(',')[1])\n", - " list2.append(xm['fits']['bmi']['score'])\n", - " i+=1\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", - " list2.append('') \n", - "\n", - "\n", + " list2.append('')\n", + " list2.append('')\n", " for item in items:\n", - " if item in xm['fits'].keys():\n", - " list2.append(xm['fits'][item]['mark'])\n", - " list2.append(xm['fits'][item]['score']) \n", - " i+=1\n", - " #elif item =='name':\n", - " # list2.append(dict1[k][item])\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", - " list2.append('') \n", - " print(list2)\n", - " if i>2:\n", - " list1.append(list2)\n", - "filename = 'data/东营老年大学体测情况表.xlsx'\n", + " list2.append('')\n", + " \n", + " list1.append(list2)\n", + "filename = 'data/北体体质康健班体测情况表202412.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)\n", - "print('ok') " + "wb.save(filename)" ] }, { "cell_type": "markdown", "id": "d794e69d-9444-4765-9b7d-8dcb0f8c4343", - "metadata": { - "jp-MarkdownHeadingCollapsed": true - }, + "metadata": {}, "source": [ "## 导入问卷信息" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 49, "id": "79fb7799-3693-4b7b-ae82-c0d8dee98d36", "metadata": { "execution": { - "iopub.execute_input": "2024-09-14T11:49:21.331114Z", - "iopub.status.busy": "2024-09-14T11:49:21.330310Z", - "iopub.status.idle": "2024-09-14T11:49:21.362941Z", - "shell.execute_reply": "2024-09-14T11:49:21.362399Z", - "shell.execute_reply.started": "2024-09-14T11:49:21.331031Z" + "iopub.execute_input": "2024-12-22T07:18:34.575061Z", + "iopub.status.busy": "2024-12-22T07:18:34.574259Z", + "iopub.status.idle": "2024-12-22T07:18:34.606759Z", + "shell.execute_reply": "2024-12-22T07:18:34.606260Z", + "shell.execute_reply.started": "2024-12-22T07:18:34.574981Z" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "71\n" + ] + } + ], "source": [ "import json\n", "import csv\n", @@ -283,110 +326,91 @@ "\n", "dict1 = {}\n", "\n", - "filename = 'data/result_北体体质康健.json'\n", + "filename = 'data/result_北体体质康健班202412.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "filename = 'data/北体体质康健班202412.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_20240914.csv'\n", + "filename = 'data/Survey_20241220.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", - "#print(list1)\n", - "dict2 = {}\n", + "\n", + "\n", + "\n", "\n", "for item in list1:\n", - " psy = []\n", - " tcm = []\n", - " spine = []\n", - " for i in range(0,45):\n", - " psy.append(0)\n", - " for i in range(0,60):\n", - " tcm.append(0)\n", - " for i in range(0,26):\n", - " spine.append(0)\n", - " phone = item[2]\n", - " for k1, v1 in dict3.items():\n", - " if 'phone' in v1.keys() and phone ==v1['phone']: \n", - " dict1[k1] = dict3[k1]\n", - " #dict1[k1]['month'] = dict1[k1]['age'] *12\n", - "#print(dict1)\n", - "for item in list1:\n", - " #print(item)\n", - " psy = []\n", - " tcm = []\n", - " spine = []\n", - " for i in range(0,45):\n", - " psy.append(0)\n", - " for i in range(0,60):\n", - " tcm.append(0)\n", - " for i in range(0,26):\n", - " spine.append(0)\n", - " phone = item[2]\n", - " for k1, v1 in dict1.items():\n", - " #print((k1,v1))\n", - " if phone ==v1['phone']: \n", - " content = json.loads(item[5])\n", - " #print(content)\n", - " \n", + " if item[2] in phone.keys():\n", + " psy =[]\n", + " tcm = []\n", + " spine = []\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", + " \n", + " content = json.loads(item[5])\n", + " if phone[item[2]] not in dict1.keys():\n", + " dict1[phone[item[2]]] = dict3[phone[item[2]]]\n", " rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n", - " #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n", - " for k, v in content.items():\n", - " #print('k:',k,'v:',v)\n", - " if 'psyOld' in k: \n", - " i = int(k[6:])\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", - " spine[i-1] = int(v)\n", - " if 'psyOld' in item[5]:\n", - " #for i in range(5,26):\n", - " # new_valve = 5-psy[i]\n", - " # psy[i] = new_valve\n", - " for i in range(26,40):\n", - " new_valve = 1+psy[i]\n", - " psy[i] = new_valve\n", - " psy[44] = []\n", - " dict1[k1]['psy'] = psy\n", - " if 'tcm' in item[5]:\n", - " if tcm[40] ==0:\n", - " tcm[40] =1\n", - " dict1[k1]['tcm'] = tcm\n", - " if 'spine' in item[5]:\n", - " for ii in range(25,23,-1):\n", - " \n", - " spine[ii] = spine[ii-1]\n", - " \n", - " spine[22] = 0\n", - " \n", - " \n", - " \n", - " dict1[k1]['spine'] = spine\n", - " #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n", - "\n", - " #days = (rq-birth).days \n", - " #dict1[k1]['age'] = int(days/365)\n", + " dict1[phone[item[2]]]['rq'] = item[6].replace('/','-').split(' ')[0]\n", + " for k, v in content.items():\n", + " if 'psyOld' in k:\n", + " i = int(k[6:])\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", + " spine[i-1] = int(v)\n", + " if 'psyOld' in item[5]:\n", + " #for i in range(5,26):\n", + " # new_valve = 5-psy[i]\n", + " # psy[i] = new_valve\n", + " for i in range(26,40):\n", + " new_valve = 1+psy[i]\n", + " psy[i] = new_valve\n", " \n", - " dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n", - "#print(dict1)\n", - "filename = 'data/result_北体体质康健1.json'\n", + " dict1[phone[item[2]]]['psy_yangmiao_old'] = psy\n", + " if 'tcm' in item[5]:\n", + " if tcm[40] ==0:\n", + " tcm[40] =1\n", + " dict1[phone[item[2]]]['tcm'] = tcm\n", + " if 'spine' in item[5]:\n", + " for ii in range(25,23,-1):\n", + " spine[ii] = spine[ii-1]\n", + " spine[22] = 0 \n", + " dict1[phone[item[2]]]['spine'] = spine\n", + " birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))\n", + " \n", + " days = (rq-birth).days \n", + " dict1[phone[item[2]]]['age'] = int(days/365)\n", + " dict1[phone[item[2]]]['month'] = int(days/365*12)\n", + "filename = 'data/result_北体体质康健班202412-1.json'\n", "\n", "with open(filename,'w') as fl:\n", - " json.dump(dict1, fl, ensure_ascii=False) " + " json.dump(dict1, fl, ensure_ascii=False)\n", + "print(len(dict1))" ] }, { "cell_type": "markdown", "id": "9f9111f1-8cf0-4d45-b9b2-e3b631023581", - "metadata": { - "jp-MarkdownHeadingCollapsed": true - }, + "metadata": {}, "source": [ "## 获取问卷人员信息" ] @@ -444,9 +468,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "eb4091f4-9823-4361-acb2-f3e898f9524b", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-22T00:37:03.115402Z", + "iopub.status.busy": "2024-12-22T00:37:03.114604Z", + "iopub.status.idle": "2024-12-22T00:37:03.144709Z", + "shell.execute_reply": "2024-12-22T00:37:03.144175Z", + "shell.execute_reply.started": "2024-12-22T00:37:03.115323Z" + }, "tags": [] }, "outputs": [], @@ -459,13 +490,13 @@ "\n", "dict1 = {}\n", "\n", - "filename = 'data/result_东营老年大学.json'\n", + "filename = 'data/result_北体体质康健班202412.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "\n", "\n", "list1 = []\n", - "filename = 'data/Survey_20240321.csv'\n", + "filename = 'data/Survey_20241220.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", @@ -551,7 +582,7 @@ " \n", " dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n", "#print(dict1)\n", - "filename = 'data/result_东营老年大学1.json'\n", + "filename = 'data/result_北体体质康健班202412-1.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False) " @@ -559,16 +590,197 @@ }, { "cell_type": "markdown", - "id": "a8dbc7ae-cf00-4591-8572-600c39b37750", + "id": "85d087e3-c469-409e-893b-a22789d73613", "metadata": {}, "source": [ - "## 核对人员成绩" + "## 生成报告" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "327c33e2-7437-4421-b70c-ec98234a5e88", + "metadata": { + "execution": { + "iopub.execute_input": "2024-12-22T07:18:54.900729Z", + "iopub.status.busy": "2024-12-22T07:18:54.899962Z", + "iopub.status.idle": "2024-12-22T07:19:29.111150Z", + "shell.execute_reply": "2024-12-22T07:19:29.110336Z", + "shell.execute_reply.started": "2024-12-22T07:18:54.900656Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "71\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_北体体质康健班202412-1.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "file_path ='./北体体质康健班202412/'\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'] = '北体体质康健班'\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_yangmiao_old','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": "raw", + "id": "640b2865-5739-464b-ac51-0ffc49adb00f", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "46ff1333-f051-4022-a765-e0964a2ee427", + "metadata": { + "execution": { + "iopub.execute_input": "2024-12-24T14:45:09.893552Z", + "iopub.status.busy": "2024-12-24T14:45:09.892819Z", + "iopub.status.idle": "2024-12-24T14:45:09.940625Z", + "shell.execute_reply": "2024-12-24T14:45:09.940171Z", + "shell.execute_reply.started": "2024-12-24T14:45:09.893481Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "import ast\n", + "\n", + "items = ['lung','grip','flexion','balance','reaction','step']\n", + "title = ['编号','姓名','性别','年龄','单位','身高','体重','得分','肺活量','得分','握力','得分','坐位体前屈','得分','单脚站立','得分','选择反应时','得分','台阶指数','得分']\n", + "filename = 'data/北体体质康健班202412.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "\n", + "filename = 'data/data2.json'\n", + "with open(filename,'r') as fl:\n", + " list1 = json.load(fl)\n", + "list2 = []\n", + "for item in list1:\n", + " list3 = []\n", + " code = item['id']\n", + " if 'fits' in item.keys() or 'surveysScore' in item.keys():\n", + " list3.append(code)\n", + " list3.append(dict2[code]['name'])\n", + " list3.append(dict2[code]['sex'])\n", + " list3.append(dict2[code]['age'])\n", + " list3.append(dict2[code]['unit'])\n", + " \n", + " if 'fits' in item.keys():\n", + " v = item['fits']\n", + " if 'bmi' in v.keys():\n", + " height = v['bmi']['mark'].split(',')[0]\n", + " weight = v['bmi']['mark'].split(',')[1]\n", + " list3.append(height)\n", + " list3.append(weight)\n", + " list3.append(v['bmi']['score']) \n", + " else:\n", + " list3.append('')\n", + " list3.append('')\n", + " list3.append('')\n", + " for xm in items:\n", + " if xm in v.keys():\n", + " list3.append(v[xm]['mark'])\n", + " list3.append(v[xm]['score']) \n", + " else:\n", + " list3.append('')\n", + " list3.append('')\n", + " else:\n", + " for i in range(0,15):\n", + " list3.append('')\n", + " if 'surveysScore' in item.keys():\n", + " v = item['surveysScore']\n", + " list3.append(v['tcm']['type']['name'])\n", + " list3.append(v['tcm']['near'])\n", + " list3.append(v['psy']['身体健康满意度'])\n", + " list3.append(v['psy']['心理健康'])\n", + " list3.append(v['psy']['社会支持'])\n", + " list3.append(v['psy']['环境满意度'])\n", + " list3.append(v['spine']['颈椎段'])\n", + " list3.append(v['spine']['胸椎段'])\n", + " list3.append(v['spine']['腰椎段'])\n", + " list3.append(v['spine']['骶尾椎段'])\n", + " else:\n", + " for i in range(0,10):\n", + " list3.append('')\n", + " list2.append(list3) \n", + " \n", + "filename = 'data/北体体质康健班体测情况表202412.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": "1e617679-6d57-4389-bc84-4e14e63616f1", + "id": "9ce2589b-881a-4c36-8a48-9cfd212cc40b", "metadata": {}, "outputs": [], "source": [] diff --git a/体测单位/体测数据管理.ipynb b/体测单位/体测数据管理.ipynb index cc76bb0..ec817d8 100644 --- a/体测单位/体测数据管理.ipynb +++ b/体测单位/体测数据管理.ipynb @@ -3,18 +3,23 @@ { "cell_type": "markdown", "id": "e6dcc663-e0ed-4ea3-b442-11f229f4af94", - "metadata": { - "jp-MarkdownHeadingCollapsed": true - }, + "metadata": {}, "source": [ "## 新增体测单位" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "360f0a97-d73d-43f3-9f7a-0f9582103c82", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-23T02:35:15.481801Z", + "iopub.status.busy": "2024-12-23T02:35:15.481073Z", + "iopub.status.idle": "2024-12-23T02:35:15.588908Z", + "shell.execute_reply": "2024-12-23T02:35:15.588281Z", + "shell.execute_reply.started": "2024-12-23T02:35:15.481732Z" + }, "tags": [] }, "outputs": [], @@ -25,10 +30,10 @@ "mydb = myclient[\"baogao\"]\n", "mycol = mydb[\"place\"]\n", "\n", - "place_id = 345321\n", - "place_code = \"14\"\n", - "dw_name = \"中国石化镇海炼化公司\"\n", - "dw_jc = \"中国石化镇海炼化公司\"\n", + "place_id = 141002\n", + "place_code = \"15\"\n", + "dw_name = \"北体体质康健班\"\n", + "dw_jc = \"北体体质康健班\"\n", "myquery = { \"id\": place_id }\n", "num = mycol.count_documents(myquery)\n", "if num>0:\n", @@ -48,10 +53,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "6ce2cbc7-435a-461c-bdb8-abd9a6962fbc", - "metadata": {}, - "outputs": [], + "metadata": { + "execution": { + "iopub.execute_input": "2024-12-23T02:37:43.114677Z", + "iopub.status.busy": "2024-12-23T02:37:43.113786Z", + "iopub.status.idle": "2024-12-23T02:37:43.138884Z", + "shell.execute_reply": "2024-12-23T02:37:43.138013Z", + "shell.execute_reply.started": "2024-12-23T02:37:43.114598Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "71 ok\n" + ] + } + ], "source": [ "import openpyxl\n", "import os,sys,shutil\n", @@ -65,10 +86,10 @@ "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"baogao\"]\n", "\n", - "place_id = 496534\n", - "place_code = \"12\"\n", - "dw_name = \"天宫院社区\"\n", - "dw_jc = \"天宫院社区\"\n", + "place_id = 141002\n", + "place_code = \"15\"\n", + "dw_name = \"北体体质康健班\"\n", + "dw_jc = \"北体体质康健班\"\n", "fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n", "fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n", "\n", @@ -86,7 +107,7 @@ "\n", "i = 0\n", "while i < len(fls):\n", - " code = random.sample(code_list,3) #随机取3位数\n", + " code = random.sample(code_list,4) #随机取3位数\n", " code_num = ''.join(code) \n", " if place_code+code_num not in list1 and place_code+code_num not in list2:\n", " list1.append(place_code+code_num)\n", @@ -102,8 +123,8 @@ " dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name}\n", " list2.append(dict2)\n", " i +=1\n", - "#x = mycol.insert_many(list2)\n", - "#print('ok') " + "x = mycol.insert_many(list2)\n", + "print(len(list2),'ok') " ] }, { @@ -116,12 +137,97 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "5f665c0f-8d30-4759-b7f8-fb7e13b98efa", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-23T05:43:17.023291Z", + "iopub.status.busy": "2024-12-23T05:43:17.022726Z", + "iopub.status.idle": "2024-12-23T05:43:17.056324Z", + "shell.execute_reply": "2024-12-23T05:43:17.055498Z", + "shell.execute_reply.started": "2024-12-23T05:43:17.023237Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 15552778879 87-韩秋春.pdf 157481\n", + "2 13176607576 40-聂秋香.pdf 150269\n", + "3 13515466253 20-成桂艳.pdf 154130\n", + "4 13356838977 45-齐立红.pdf 159017\n", + "5 15505463267 6-刘来珍.pdf 151957\n", + "6 15618032716 72-林娟.pdf 153582\n", + "7 13001564985 23-李慧珠.pdf 153760\n", + "8 13854609739 85-连海燕.pdf 156827\n", + "9 13605461196 50-刘瑛.pdf 159238\n", + "10 13697833655 48-刘其英.pdf 157409\n", + "11 18654608681 68-张桂芝.pdf 157534\n", + "12 13561099637 9-吕建国.pdf 157281\n", + "13 13589970661 30-王争华.pdf 151934\n", + "14 15666215813 5-刘晓红.pdf 152476\n", + "15 15954638716 41-胡桂凤.pdf 153278\n", + "16 13793983616 80-董希娥.pdf 150362\n", + "17 18661395568 56-娄金华.pdf 153028\n", + "18 15006966879 38-耿宏勋.pdf 154872\n", + "19 13006548397 15-宋立君.pdf 155673\n", + "20 13054610560 88-马国丽.pdf 153905\n", + "21 13864711691 11-吴晓燕.pdf 156580\n", + "22 13013569039 39-耿红霞.pdf 155263\n", + "23 13356615748 17-张桂荣.pdf 150152\n", + "24 13589961337 35-王霞.pdf 152574\n", + "25 13678611392 34-王金美.pdf 152549\n", + "26 13963356165 31-王春爱.pdf 156502\n", + "27 13589986778 26-杨素华.pdf 158590\n", + "28 13361512362 77-秦春霞.pdf 154059\n", + "29 13054658622 86-郗桂红.pdf 157145\n", + "30 18661378656 54-周春萍.pdf 154763\n", + "31 15154636366 25-李红霞.pdf 156873\n", + "32 18654698789 37-罗秀艳.pdf 150825\n", + "33 13054652092 8-卢霞.pdf 159367\n", + "34 15610063229 7-刘英.pdf 159386\n", + "35 13963359769 1-万秀香.pdf 156540\n", + "36 18554659267 47-任大华.pdf 156039\n", + "37 18661376637 18-张秀玉.pdf 157206\n", + "38 18611391991 71-朱兰生.pdf 153617\n", + "39 13563399566 67-张伟.pdf 158436\n", + "40 15263888916 36-生月华.pdf 150476\n", + "41 13210319979 33-王海燕.pdf 155632\n", + "42 13561020118 84-赵立静.pdf 156825\n", + "43 13371503039 53-吕鸿义.pdf 159602\n", + "44 13864791829 75-王翠云.pdf 151079\n", + "45 18705469686 42-范晓英.pdf 157035\n", + "46 13706366656 57-孙家祥.pdf 153718\n", + "47 18554718350 63-宋秀娟.pdf 152087\n", + "48 13792060709 76-盖荣.pdf 153519\n", + "49 18860629985 46-于瑞先.pdf 154058\n", + "50 15314347726 55-姜英.pdf 151762\n", + "51 13854650187 32-王毅.pdf 159436\n", + "52 15020597108 78-程茂霞.pdf 153264\n", + "53 15606470366 73-温建华.pdf 155470\n", + "54 13945664258 49-刘桂君.pdf 150794\n", + "55 18554660557 65-巴建云.pdf 154836\n", + "56 15105468997 14-宋清贤.pdf 151746\n", + "57 13963370053 16-张德芳.pdf 158790\n", + "58 13864707888 60-宁振莹.pdf 151487\n", + "59 13906472659 64-尚国勋.pdf 150875\n", + "60 13963350118 12-唐慧芳.pdf 152738\n", + "61 13356645705 29-牛春芳.pdf 153915\n", + "62 13054625519 89-黄启江.pdf 150912\n", + "63 15666210207 81-袁庆敏.pdf 157248\n", + "64 15954620216 44-雒云秀.pdf 156738\n", + "65 13562277856 22-朱振峰.pdf 155413\n", + "66 13181996942 70-曹玉英.pdf 151820\n", + "67 18653699788 27-林乐武.pdf 151893\n", + "68 13589432668 83-赵福珍.pdf 156124\n", + "69 13563376888 3-伊茂胜.pdf 156285\n", + "70 13375466356 13-孟凡业.pdf 150571\n", + "71 13854664965 4-刘学农.pdf 151763\n" + ] + } + ], "source": [ "from tencentcloud.common import credential\n", "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n", @@ -136,8 +242,8 @@ "mydb = myclient[\"baogao\"]\n", "mycol = mydb[\"pdf\"]\n", "\n", - "dw_jc = \"天宫院社区\"\n", - "filename = 'data/天宫院社区240922.json'\n", + "dw_jc = \"北体体质康健班学员\"\n", + "filename = 'data/北体体质康健班202412.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", @@ -197,12 +303,97 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "4b2b5d76-665f-4dfe-bbd3-5c80abd8c3e3", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-23T05:43:33.444175Z", + "iopub.status.busy": "2024-12-23T05:43:33.443420Z", + "iopub.status.idle": "2024-12-23T06:01:33.534050Z", + "shell.execute_reply": "2024-12-23T06:01:33.532110Z", + "shell.execute_reply.started": "2024-12-23T05:43:33.444103Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15552778879 157481 send success\n", + "13176607576 150269 send success\n", + "13515466253 154130 send success\n", + "13356838977 159017 send success\n", + "15505463267 151957 send success\n", + "15618032716 153582 send success\n", + "13001564985 153760 send success\n", + "13854609739 156827 send success\n", + "13605461196 159238 send success\n", + "13697833655 157409 send success\n", + "18654608681 157534 send success\n", + "13561099637 157281 send success\n", + "13589970661 151934 send success\n", + "15666215813 152476 send success\n", + "15954638716 153278 send success\n", + "13793983616 150362 send success\n", + "18661395568 153028 send success\n", + "15006966879 154872 send success\n", + "13006548397 155673 send success\n", + "13054610560 153905 send success\n", + "13864711691 156580 send success\n", + "13013569039 155263 send success\n", + "13356615748 150152 send success\n", + "13589961337 152574 send success\n", + "13678611392 152549 send success\n", + "13963356165 156502 send success\n", + "13589986778 158590 send success\n", + "13361512362 154059 send success\n", + "13054658622 157145 send success\n", + "18661378656 154763 send success\n", + "15154636366 156873 send 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"13963370053 158790 send success\n", + "13864707888 151487 send success\n", + "13906472659 150875 send success\n", + "13963350118 152738 send success\n", + "13356645705 153915 send success\n", + "13054625519 150912 send success\n", + "15666210207 157248 send success\n", + "15954620216 156738 send success\n", + "13562277856 155413 send success\n", + "13181996942 151820 send success\n", + "18653699788 151893 send success\n", + "13589432668 156124 send success\n", + "13563376888 156285 send success\n", + "13375466356 150571 send success\n", + "13854664965 151763 send success\n" + ] + } + ], "source": [ "from tencentcloud.common import credential\n", "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n", @@ -217,12 +408,12 @@ "mydb = myclient[\"baogao\"]\n", "mycol = mydb[\"pdf\"]\n", "\n", - "dw_jc = \"天宫院社区测试者\"\n", - "filename = 'data/天宫院社区240922.json'\n", + "dw_jc = \"北体体质康健班学员\"\n", + "filename = 'data/北体体质康健班202412.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", - "place_id = 496534\n", + "place_id = 141002\n", "myquery = { \"place_id\": place_id }\n", "for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n", " code = int(x['fn'].split('-')[0])\n", @@ -287,15 +478,15 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "id": "25a269c3-758f-4e79-ae6d-a6e6f161d64b", "metadata": { "execution": { - "iopub.execute_input": "2024-11-19T08:14:42.384832Z", - "iopub.status.busy": "2024-11-19T08:14:42.384081Z", - "iopub.status.idle": "2024-11-19T08:14:42.628910Z", - "shell.execute_reply": "2024-11-19T08:14:42.627652Z", - "shell.execute_reply.started": "2024-11-19T08:14:42.384763Z" + "iopub.execute_input": "2024-12-23T05:38:55.858379Z", + "iopub.status.busy": "2024-12-23T05:38:55.857680Z", + "iopub.status.idle": "2024-12-23T05:38:56.119988Z", + "shell.execute_reply": "2024-12-23T05:38:56.118643Z", + "shell.execute_reply.started": "2024-12-23T05:38:55.858311Z" }, "tags": [] }, @@ -304,30 +495,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "no phone\n", - "+8618993712869 send success\n" + "+8613793180751 send success\n" ] } ], @@ -344,12 +512,12 @@ "mydb = myclient[\"baogao\"]\n", "mycol = mydb[\"pdf\"]\n", "\n", - "dw_jc = \"青海油田测试者\"\n", - "filename = 'data/天宫院社区240922.json'\n", + "dw_jc = \"北体体质康健班学员\"\n", + "filename = 'data/北体体质康健班202412.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", - "place_id = 571315\n", + "place_id = 141002\n", "myquery = { \"place_id\": place_id }\n", "for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n", " code = int(x['fn'].split('-')[0])\n", @@ -358,8 +526,8 @@ " else:\n", " print('no phone')\n", "\n", - "phone = '+86'+'18993712869'\n", - "yzm = '109623'\n", + "phone = '+86'+'13793180751'\n", + "yzm = '155673'\n", "try: \n", " secretId = \"AKID22rVyvSqbikXFFvav31ykc9YmqjN6KYc\"\n", " secretKey = \"51XVL1YxDKI6mJh8au6DDuTskS1RhwJX\"\n", diff --git a/体测单位/体质检测数据处理.ipynb b/体测单位/体质检测数据处理.ipynb index e9d5afb..0ce6835 100644 --- a/体测单位/体质检测数据处理.ipynb +++ b/体测单位/体质检测数据处理.ipynb @@ -815,42 +815,354 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 19, "id": "d913a531-51b3-4795-adc3-f4fc858d7401", "metadata": { "execution": { - "iopub.execute_input": "2024-12-06T15:20:32.535010Z", - "iopub.status.busy": "2024-12-06T15:20:32.534411Z", - "iopub.status.idle": "2024-12-06T15:20:32.583820Z", - "shell.execute_reply": "2024-12-06T15:20:32.583328Z", - "shell.execute_reply.started": "2024-12-06T15:20:32.534952Z" + "iopub.execute_input": "2024-12-12T07:37:15.387929Z", + "iopub.status.busy": "2024-12-12T07:37:15.387152Z", + "iopub.status.idle": "2024-12-12T07:37:15.525479Z", + "shell.execute_reply": "2024-12-12T07:37:15.524900Z", + "shell.execute_reply.started": "2024-12-12T07:37:15.387860Z" }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "302\n", + "/home/songyi/pdf-typescript/长炼医院2024/0240049-陈晓辉.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/0001134-李和平.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/3526128-黎戬.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/1984143-彭超.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/3526130-吴书鹏.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/3526186-周子瑄.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/3498058-柳聪.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/0001147-黄紫暄.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/3125602-王凤.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/3526182-李基博.pdf\n", + 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"/home/songyi/pdf-typescript/长炼医院2024/0001085-刘海燕.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/0001112-汤超.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/0002124-唐睿.pdf\n", + "/home/songyi/pdf-typescript/长炼医院2024/3437578-黄晓平.pdf\n" + ] + } + ], "source": [ "import os,sys,shutil\n", "import json\n", "import glob\n", "from pathlib import Path\n", "\n", - "fi_path = '/home/songyi/pdf-typescript/北海炼化2024'\n", - "new_path = 'file/北海炼化2024'\n", + "fi_path = '/home/songyi/pdf-typescript/长炼医院2024'\n", + "new_path = 'file/长炼医院2024'\n", "old = []\n", "dict2 = {}\n", "\n", - "filename = 'data/北海炼化人员2024.json'\n", + "filename = 'data/result_长炼医院人员2024(汇总）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "fls = glob.glob(f'{fi_path}/*.pdf')\n", + "print(len(fls))\n", "for fn in fls:\n", " fi_name =Path(fn).stem.split('-')[0]\n", - " code = int(fi_name)\n", + " code = int(fi_name) \n", " unit_path = Path(new_path,dict1[str(code)]['unit'])\n", " unit_path.mkdir(parents = True, exist_ok = True)\n", " n_name = Path(unit_path,Path(fn).stem+'.pdf')\n", - " if not os.path.exists(n_name):\n", - " shutil.copyfile(fn,n_name)" + " #if not os.path.exists(n_name):\n", + " shutil.copyfile(fn,n_name)\n", + " print(fn)" ] }, { @@ -863,15 +1175,15 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 21, "id": "02319955-7fb6-4791-ae45-55b03bdadd54", "metadata": { "execution": { - "iopub.execute_input": "2024-12-06T15:23:36.869845Z", - "iopub.status.busy": "2024-12-06T15:23:36.869086Z", - "iopub.status.idle": "2024-12-06T15:23:36.941818Z", - "shell.execute_reply": "2024-12-06T15:23:36.941344Z", - "shell.execute_reply.started": "2024-12-06T15:23:36.869773Z" + "iopub.execute_input": "2024-12-12T07:41:07.877091Z", + "iopub.status.busy": "2024-12-12T07:41:07.876276Z", + "iopub.status.idle": "2024-12-12T07:41:07.919596Z", + "shell.execute_reply": "2024-12-12T07:41:07.919038Z", + "shell.execute_reply.started": "2024-12-12T07:41:07.877012Z" }, "tags": [] }, @@ -891,9 +1203,9 @@ "from pathlib import Path\n", "import openpyxl\n", "\n", - "fi_path = '/home/songyi/pdf-typescript/北海炼化2024'\n", + "fi_path = '/home/songyi/pdf-typescript/长炼医院2024'\n", "\n", - "filename = 'data/北海炼化人员2024.json'\n", + "filename = 'data/result_长炼医院人员2024(汇总）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "fls = glob.glob(f'{fi_path}/*.pdf')\n", @@ -909,7 +1221,7 @@ " \n", " list1.append(list2)\n", "\n", - "filename = 'data/北海炼化2024年体测报告明细表.xlsx'\n", + "filename = 'data/长炼医院2024年体测报告明细表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", @@ -962,7 +1274,6 @@ "cell_type": "markdown", "id": "732161bb-98f2-4861-ab66-7a374678bcd8", "metadata": { - "jp-MarkdownHeadingCollapsed": true, "tags": [], "toc-hr-collapsed": true }, @@ -1565,16 +1876,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "46aa847d-e1fe-45bd-85b6-e2d792ec8842", - "metadata": {}, - "outputs": [], + "metadata": { + "execution": { + "iopub.execute_input": "2024-12-20T07:27:58.141604Z", + "iopub.status.busy": "2024-12-20T07:27:58.140897Z", + "iopub.status.idle": "2024-12-20T07:27:58.343114Z", + "shell.execute_reply": "2024-12-20T07:27:58.342694Z", + "shell.execute_reply.started": "2024-12-20T07:27:58.141536Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "301\n" + ] + } + ], "source": [ "import json\n", "import openpyxl\n", "\n", "\n", - "filename = 'data/result_天津石化2024.json'\n", + "filename = 'data/result_长炼医院人员2024(汇总）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", @@ -1627,7 +1954,7 @@ " mydata['score'] = round(score/len(mydata['fits']),2)\n", " if len(mydata['fits']) >2:\n", " dict2[str(k)] = mydata\n", - "filename = f'data/data_天津石化2024.json'\n", + "filename = f'data/data_长炼医院人员2024(汇总）.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", "print(len(dict2)) " @@ -1643,17 +1970,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "63edd636-f034-4aa6-8575-63d5cdb84adb", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-20T07:28:13.394921Z", + "iopub.status.busy": "2024-12-20T07:28:13.394348Z", + "iopub.status.idle": "2024-12-20T07:28:13.405910Z", + "shell.execute_reply": "2024-12-20T07:28:13.405307Z", + "shell.execute_reply.started": "2024-12-20T07:28:13.394870Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "平均成绩：2.7497分，男性：223人\n", + "平均成绩：2.9819分，女性：78人\n", + "平均成绩：2.8099分，总体：301人\n" + ] + } + ], "source": [ "import json\n", "\n", "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", - "filename = 'data/data_北海炼化2024.json'\n", + "filename = 'data/data_长炼医院人员2024(汇总）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "i = 1\n", @@ -1687,12 +2031,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "1b4a3f02-9b2e-41fc-ac6c-8163907a07f1", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-20T07:30:11.095892Z", + "iopub.status.busy": "2024-12-20T07:30:11.095122Z", + "iopub.status.idle": "2024-12-20T07:30:11.117663Z", + "shell.execute_reply": "2024-12-20T07:30:11.117077Z", + "shell.execute_reply.started": "2024-12-20T07:30:11.095822Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0~255分人数：91人,男性：79人,女性:12人\n", + "256~332分人数：143人,男性：100人,女性:43人\n", + "333~367分人数：47人,男性：30人,女性:17人\n", + "368~500分人数：20人,男性：14人,女性:6人\n", + "301\n", + "ok\n" + ] + } + ], "source": [ "import json\n", "\n", @@ -1738,12 +2102,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "2d661ca6-6129-4da1-ac25-51d0156babb2", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-20T07:30:36.266609Z", + "iopub.status.busy": "2024-12-20T07:30:36.266057Z", + "iopub.status.idle": "2024-12-20T07:30:36.276604Z", + "shell.execute_reply": "2024-12-20T07:30:36.275720Z", + "shell.execute_reply.started": "2024-12-20T07:30:36.266557Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20-24 {'不合格': 7, '良好': 4, '优秀': 2, '合格': 17}\n", + "25-29 {'合格': 16, '不合格': 3, '良好': 6, '优秀': 1}\n", + "30-34 {'合格': 1, '优秀': 1, '不合格': 1, '良好': 2}\n", + "35-39 {'不合格': 0, '合格': 2, '良好': 1, '优秀': 1}\n", + "40-44 {'合格': 1, '不合格': 1, '良好': 2, '优秀': 0}\n", + "45-49 {'良好': 2, '合格': 5, '不合格': 0, '优秀': 1}\n", + "50-54 {'良好': 0, '合格': 1, '优秀': 0, '不合格': 0}\n", + "55-80 {'良好': 0, '合格': 0, '不合格': 0}\n" + ] + } + ], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", "\n", @@ -1783,12 +2169,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "fc97df37-34ff-4a02-9d26-b5d81b706e46", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-20T07:30:38.696485Z", + "iopub.status.busy": "2024-12-20T07:30:38.695765Z", + "iopub.status.idle": "2024-12-20T07:30:38.711240Z", + "shell.execute_reply": "2024-12-20T07:30:38.710163Z", + "shell.execute_reply.started": "2024-12-20T07:30:38.696422Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20-24 {'不合格': 28, '良好': 7, '优秀': 1, '合格': 26}\n", + "25-29 {'合格': 18, '不合格': 17, '良好': 1, '优秀': 0}\n", + "30-34 {'合格': 10, '优秀': 2, '不合格': 11, '良好': 4}\n", + "35-39 {'不合格': 8, '合格': 13, '良好': 7, '优秀': 5}\n", + "40-44 {'合格': 10, '不合格': 3, '良好': 3, '优秀': 1}\n", + "45-49 {'良好': 4, '合格': 12, '不合格': 8, '优秀': 1}\n", + "50-54 {'良好': 2, '合格': 8, '优秀': 4, '不合格': 2}\n", + "55-80 {'良好': 2, '合格': 3, '不合格': 2}\n" + ] + } + ], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", "\n", @@ -1828,12 +2236,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "dafb86f8-5ee0-4c87-a98f-c7ff0f631fe5", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-20T07:31:09.731948Z", + "iopub.status.busy": "2024-12-20T07:31:09.731194Z", + "iopub.status.idle": "2024-12-20T07:31:09.742741Z", + "shell.execute_reply": "2024-12-20T07:31:09.741604Z", + "shell.execute_reply.started": "2024-12-20T07:31:09.731880Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "16~24岁平均成绩：2.69分，人数：92人,男性：62人\n", + "25~29岁平均成绩：2.72分，人数：62人,男性：36人\n", + "30~34岁平均成绩：2.75分，人数：32人,男性：27人\n", + "35~39岁平均成绩：3.04分，人数：37人,男性：33人\n", + "40~44岁平均成绩：2.94分，人数：21人,男性：17人\n", + "45~49岁平均成绩：2.89分，人数：33人,男性：25人\n", + "50~54岁平均成绩：3.1分，人数：17人,男性：16人\n", + "55~69岁平均成绩：2.85分，人数：7人,男性：7人\n" + ] + } + ], "source": [ "nld = [[16,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n", "\n", @@ -1868,12 +2298,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "347703a1-501b-4800-bd29-16e94f4a6793", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-20T07:35:34.912029Z", + "iopub.status.busy": "2024-12-20T07:35:34.911266Z", + "iopub.status.idle": "2024-12-20T07:35:34.922511Z", + "shell.execute_reply": "2024-12-20T07:35:34.921440Z", + "shell.execute_reply.started": "2024-12-20T07:35:34.911960Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.59分，人数：62人\n", + "25~29岁平均成绩：2.52分，人数：36人\n", + "30~34岁平均成绩：2.65分，人数：27人\n", + "35~39岁平均成绩：3.02分，人数：33人\n", + "40~44岁平均成绩：2.95分，人数：17人\n", + "45~49岁平均成绩：2.81分，人数：25人\n", + "50~54岁平均成绩：3.13分，人数：16人\n", + "55~80岁平均成绩：2.85分，人数：7人\n" + ] + } + ], "source": [ "import json\n", "\n", @@ -1908,12 +2360,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "id": "5900d1c7-2f8c-4dfa-a60e-a577fb90f22d", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-12T09:04:56.288764Z", + "iopub.status.busy": "2024-12-12T09:04:56.288050Z", + "iopub.status.idle": "2024-12-12T09:04:56.304610Z", + "shell.execute_reply": "2024-12-12T09:04:56.303440Z", + "shell.execute_reply.started": "2024-12-12T09:04:56.288700Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.88分，人数：30人\n", + "25~29岁平均成绩：2.98分，人数：26人\n", + "30~34岁平均成绩：3.28分，人数：5人\n", + "35~39岁平均成绩：3.24分，人数：4人\n", + "40~44岁平均成绩：2.88分，人数：4人\n", + "45~49岁平均成绩：3.14分，人数：8人\n", + "50~54岁平均成绩：2.67分，人数：1人\n", + "55~80岁平均成绩：0分，人数：0人\n" + ] + } + ], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", "\n", @@ -1946,12 +2420,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "ad69c45d-3f62-42df-894d-47424e759029", "metadata": { + "execution": { + "iopub.execute_input": "2024-12-20T07:34:04.864554Z", + "iopub.status.busy": "2024-12-20T07:34:04.863864Z", + "iopub.status.idle": "2024-12-20T07:34:04.875213Z", + "shell.execute_reply": "2024-12-20T07:34:04.874207Z", + "shell.execute_reply.started": "2024-12-20T07:34:04.864491Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BMI 3.65 279\n", + "肺活量 3.37 268\n", + "握力 1.77 284\n", + "坐位体前屈 2.78 249\n", + "纵跳 2.82 245\n", + "俯卧撑 2.31 145\n", + "一分钟仰卧起坐 2.98 56\n", + "单脚站立 2.59 205\n", + "选择反应时 2.83 270\n", + "台阶指数 2.88 213\n" + ] + } + ], "source": [ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", diff --git a/体测单位/北海炼化.ipynb b/体测单位/北海炼化.ipynb index e3e6ad9..1dc22e4 100644 --- a/体测单位/北海炼化.ipynb +++ b/体测单位/北海炼化.ipynb @@ -4,6 +4,7 @@ "cell_type": "markdown", "id": "1c72f0cf-165b-4025-af9d-6771e4a0a5d1", "metadata": { + "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ @@ -2181,26 +2182,10 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "id": "e1a1b329-acf1-4be9-bcf0-736dbe7f8e0b", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-06T06:33:02.890686Z", - "iopub.status.busy": "2024-12-06T06:33:02.889945Z", - "iopub.status.idle": "2024-12-06T06:33:02.953794Z", - "shell.execute_reply": "2024-12-06T06:33:02.953311Z", - "shell.execute_reply.started": "2024-12-06T06:33:02.890614Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "739\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import datetime\n", @@ -2265,17 +2250,9 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "id": "17ebb0fd-9a45-47a4-bbe9-f4fb0a3481f6", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-06T06:33:08.201679Z", - "iopub.status.busy": "2024-12-06T06:33:08.200968Z", - "iopub.status.idle": "2024-12-06T06:33:08.367295Z", - "shell.execute_reply": "2024-12-06T06:33:08.366715Z", - "shell.execute_reply.started": "2024-12-06T06:33:08.201614Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "import json\n", @@ -2336,26 +2313,10 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "id": "dd89efe8-13b9-4db8-8c39-2a48888dd635", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-06T06:34:03.871370Z", - "iopub.status.busy": "2024-12-06T06:34:03.870707Z", - "iopub.status.idle": "2024-12-06T06:34:05.280791Z", - "shell.execute_reply": "2024-12-06T06:34:05.280240Z", - "shell.execute_reply.started": "2024-12-06T06:34:03.871312Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok!\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import time\n", @@ -2392,6 +2353,130 @@ "print('ok!') " ] }, + { + "cell_type": "markdown", + "id": "5b9aef88-0341-4af0-8316-c7e2266f4b0c", + "metadata": {}, + "source": [ + "## 统计参加问卷手机号码未提供人员" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25004a96-c72c-4bbb-91e1-5bfccb7856c3", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "filename = 'data/北海炼化人员2024.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_20241224.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", + " if item[2] not in phone1:\n", + " phone2.add(item[2])\n", + "for item in phone2:\n", + " print(i,item)\n", + " i+=1\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "cca613c5-1fe3-465a-ab66-ca395e4bda9c", + "metadata": {}, + "source": [ + "## 统计参加问卷人员" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "601f707b-bd34-4966-b781-c520a0bf69dc", + "metadata": { + "execution": { + "iopub.execute_input": "2024-12-24T07:03:16.793791Z", + "iopub.status.busy": "2024-12-24T07:03:16.793020Z", + "iopub.status.idle": "2024-12-24T07:03:16.938934Z", + "shell.execute_reply": "2024-12-24T07:03:16.938312Z", + "shell.execute_reply.started": "2024-12-24T07:03:16.793721Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "876\n" + ] + } + ], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "filename = 'data/北海炼化人员2024.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_20241224.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", + "print(len(phone1))\n", + "i =1\n", + "list2 = []\n", + "for item in list1:\n", + " code = item[2]\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/北海炼化问卷情况表2024.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": "markdown", "id": "b57447d9-ac3c-47c2-9592-3878c6845918", @@ -2402,17 +2487,9 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "id": "9563c47b-94e4-44f7-98e1-7d284ad3841c", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-06T13:25:18.037788Z", - "iopub.status.busy": "2024-12-06T13:25:18.037123Z", - "iopub.status.idle": "2024-12-06T13:25:18.169186Z", - "shell.execute_reply": "2024-12-06T13:25:18.168612Z", - "shell.execute_reply.started": "2024-12-06T13:25:18.037728Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "import json\n", @@ -2515,26 +2592,10 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": null, "id": "a1a12409-aab8-47af-b10d-7ecb20b3b332", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-06T13:41:57.576034Z", - "iopub.status.busy": "2024-12-06T13:41:57.575284Z", - "iopub.status.idle": "2024-12-06T13:41:57.808661Z", - "shell.execute_reply": "2024-12-06T13:41:57.808089Z", - "shell.execute_reply.started": "2024-12-06T13:41:57.575964Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import openpyxl\n", @@ -2701,27 +2762,10 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, "id": "6d8a345d-39e0-40cd-9bed-ac4e144b426c", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-06T07:47:19.162940Z", - "iopub.status.busy": "2024-12-06T07:47:19.162185Z", - "iopub.status.idle": "2024-12-06T07:47:19.214132Z", - "shell.execute_reply": "2024-12-06T07:47:19.213530Z", - "shell.execute_reply.started": "2024-12-06T07:47:19.162868Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "738\n", - "ok!\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import openpyxl\n", @@ -2789,27 +2833,10 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": null, "id": "6cba8d5e-92fd-4afd-94d2-0dcf42e2e22e", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-06T14:55:55.316383Z", - "iopub.status.busy": "2024-12-06T14:55:55.315888Z", - "iopub.status.idle": "2024-12-06T14:55:55.397708Z", - "shell.execute_reply": "2024-12-06T14:55:55.397100Z", - "shell.execute_reply.started": "2024-12-06T14:55:55.316334Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "757\n", - "ok\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import openpyxl\n", diff --git a/体测单位/新疆.ipynb b/体测单位/新疆.ipynb index d66d1a7..43f5fb4 100644 --- a/体测单位/新疆.ipynb +++ b/体测单位/新疆.ipynb @@ -10,15 +10,15 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 29, "id": "3d5ddc7a-a331-438d-aa8d-1ad74c7250d0", "metadata": { "execution": { - "iopub.execute_input": "2024-12-06T11:58:52.021888Z", - "iopub.status.busy": "2024-12-06T11:58:52.021240Z", - "iopub.status.idle": "2024-12-06T11:58:52.246798Z", - "shell.execute_reply": "2024-12-06T11:58:52.245884Z", - "shell.execute_reply.started": "2024-12-06T11:58:52.021830Z" + "iopub.execute_input": "2024-12-24T04:10:44.463102Z", + "iopub.status.busy": "2024-12-24T04:10:44.462345Z", + "iopub.status.idle": "2024-12-24T04:10:44.481670Z", + "shell.execute_reply": "2024-12-24T04:10:44.480911Z", + "shell.execute_reply.started": "2024-12-24T04:10:44.463032Z" } }, "outputs": [ @@ -55,6 +55,105 @@ "print('ok')" ] }, + { + "cell_type": "code", + "execution_count": 37, + "id": "7b218973-965d-4324-9553-d8e7ddfda4cd", + "metadata": { + "execution": { + "iopub.execute_input": "2024-12-24T14:48:29.843853Z", + "iopub.status.busy": "2024-12-24T14:48:29.843106Z", + "iopub.status.idle": "2024-12-24T14:48:29.865282Z", + "shell.execute_reply": "2024-12-24T14:48:29.864798Z", + "shell.execute_reply.started": "2024-12-24T14:48:29.843783Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "from datetime import date\n", + "\n", + "wb = openpyxl.load_workbook('data/城东中心党委.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(3, 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", + " dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] \n", + " dict1['unit'] = sheet.cell(n, 5).value\n", + " person[code] = dict1\n", + "filename = 'data/新疆人员.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "e505049e-9bd9-4230-8074-93e37b82419c", + "metadata": {}, + "source": [ + "## 生成读卡系统文件" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "3849dc10-8fd1-4acf-b9a7-872327456f6a", + "metadata": { + "execution": { + "iopub.execute_input": "2024-12-24T14:48:31.958016Z", + "iopub.status.busy": "2024-12-24T14:48:31.957269Z", + "iopub.status.idle": "2024-12-24T14:48:31.967735Z", + "shell.execute_reply": "2024-12-24T14:48:31.966636Z", + "shell.execute_reply.started": "2024-12-24T14:48:31.957950Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/新疆人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "for k, v in dict1.items():\n", + " dict2 = {}\n", + " #if dict1['sex'] =='男':\n", + " # sex = 1\n", + " \n", + " dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n", + " list1.append(dict2)\n", + "json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n", + "\n", + "# 将 json 数据写入文件\n", + "with open(\"data/card_新疆.json\", \"w\",encoding = 'utf-8') as file:\n", + " file.write(json_data) \n", + "print('ok')" + ] + }, { "cell_type": "markdown", "id": "faf346a5-3b0e-414e-ab64-dbde3b8c3dbd", @@ -65,15 +164,15 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 30, "id": "72ec680f-ec0d-44f9-919c-17c8e614b885", "metadata": { "execution": { - "iopub.execute_input": "2024-12-06T12:00:30.883983Z", - "iopub.status.busy": "2024-12-06T12:00:30.883111Z", - "iopub.status.idle": "2024-12-06T12:00:30.895148Z", - "shell.execute_reply": "2024-12-06T12:00:30.894116Z", - "shell.execute_reply.started": "2024-12-06T12:00:30.883907Z" + "iopub.execute_input": "2024-12-24T04:10:51.916961Z", + "iopub.status.busy": "2024-12-24T04:10:51.916210Z", + "iopub.status.idle": "2024-12-24T04:10:51.929768Z", + "shell.execute_reply": "2024-12-24T04:10:51.928679Z", + "shell.execute_reply.started": "2024-12-24T04:10:51.916890Z" } }, "outputs": [ @@ -81,7 +180,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "3\n" + "1\n" ] } ], @@ -98,7 +197,7 @@ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", - "filename = 'data/marks_20241206.csv'\n", + "filename = 'data/marks_20241224.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", @@ -149,15 +248,15 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 31, "id": "8f459ed3-fc14-404f-998b-5ed2a15958c3", "metadata": { "execution": { - "iopub.execute_input": "2024-12-06T12:04:22.231686Z", - "iopub.status.busy": "2024-12-06T12:04:22.230937Z", - "iopub.status.idle": "2024-12-06T12:04:22.249578Z", - "shell.execute_reply": "2024-12-06T12:04:22.248603Z", - "shell.execute_reply.started": "2024-12-06T12:04:22.231616Z" + "iopub.execute_input": "2024-12-24T04:10:56.430593Z", + "iopub.status.busy": "2024-12-24T04:10:56.429864Z", + "iopub.status.idle": "2024-12-24T04:10:56.441856Z", + "shell.execute_reply": "2024-12-24T04:10:56.440815Z", + "shell.execute_reply.started": "2024-12-24T04:10:56.430526Z" } }, "outputs": [ @@ -215,15 +314,15 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 32, "id": "9e843585-fef3-4f5c-baae-76e711f2a42f", "metadata": { "execution": { - "iopub.execute_input": "2024-12-06T12:06:46.424162Z", - "iopub.status.busy": "2024-12-06T12:06:46.422960Z", - "iopub.status.idle": "2024-12-06T12:06:49.016373Z", - "shell.execute_reply": "2024-12-06T12:06:49.015210Z", - "shell.execute_reply.started": "2024-12-06T12:06:46.424089Z" + "iopub.execute_input": "2024-12-24T04:10:59.919975Z", + "iopub.status.busy": "2024-12-24T04:10:59.919307Z", + "iopub.status.idle": "2024-12-24T04:11:00.529956Z", + "shell.execute_reply": "2024-12-24T04:11:00.528814Z", + "shell.execute_reply.started": "2024-12-24T04:10:59.919919Z" } }, "outputs": [ @@ -231,7 +330,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "3\n" + "1\n" ] } ], @@ -256,7 +355,7 @@ " list1 = []\n", " mydata = {}\n", " \n", - " id = str(k).rjust(4,\"0\")\n", + " id = str(k).rjust(5,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '新疆'\n", " mydata['subtitle'] = ''#v['unit']\n", diff --git a/体测单位/长炼医院.ipynb b/体测单位/长炼医院.ipynb index 2514afc..7660ae9 100644 --- a/体测单位/长炼医院.ipynb +++ b/体测单位/长炼医院.ipynb @@ -2309,26 +2309,10 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "610b20f3-9fd8-46fc-b8ee-d48c4c854289", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-09T09:22:38.802119Z", - "iopub.status.busy": "2024-12-09T09:22:38.801372Z", - "iopub.status.idle": "2024-12-09T09:22:38.835995Z", - "shell.execute_reply": "2024-12-09T09:22:38.835477Z", - "shell.execute_reply.started": "2024-12-09T09:22:38.802047Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import openpyxl\n", "import json\n", @@ -2368,26 +2352,10 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "a6dc8ae7-5a51-4eb1-954e-19c17b6062cd", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-05T01:26:00.236419Z", - "iopub.status.busy": "2024-12-05T01:26:00.235845Z", - "iopub.status.idle": "2024-12-05T01:26:00.282366Z", - "shell.execute_reply": "2024-12-05T01:26:00.281825Z", - "shell.execute_reply.started": "2024-12-05T01:26:00.236362Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "\n", @@ -2416,27 +2384,10 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "id": "1e2d586e-6ff5-4fd1-a909-278d23e54561", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-09T09:26:07.189575Z", - "iopub.status.busy": "2024-12-09T09:26:07.187969Z", - "iopub.status.idle": "2024-12-09T09:26:07.219642Z", - "shell.execute_reply": "2024-12-09T09:26:07.219013Z", - "shell.execute_reply.started": "2024-12-09T09:26:07.189495Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "207\n", - "207\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import time\n", @@ -2486,27 +2437,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "0cad0490-5199-4ca3-bf6f-a206829d702e", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-11T06:57:46.853287Z", - "iopub.status.busy": "2024-12-11T06:57:46.852519Z", - "iopub.status.idle": "2024-12-11T06:57:46.874391Z", - "shell.execute_reply": "2024-12-11T06:57:46.873811Z", - "shell.execute_reply.started": "2024-12-11T06:57:46.853199Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "78\n", - "78\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import time\n", @@ -2556,27 +2490,10 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "dd681c34-dba9-434b-9cd3-ed12fefcce0f", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-11T07:10:57.109817Z", - "iopub.status.busy": "2024-12-11T07:10:57.109051Z", - "iopub.status.idle": "2024-12-11T07:10:57.134829Z", - "shell.execute_reply": "2024-12-11T07:10:57.134208Z", - "shell.execute_reply.started": "2024-12-11T07:10:57.109746Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "78\n", - "78\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import datetime\n", @@ -2669,17 +2586,9 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "id": "64c6e1e3-801c-4573-b78f-5a9e842597a9", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-09T09:23:41.690512Z", - "iopub.status.busy": "2024-12-09T09:23:41.689765Z", - "iopub.status.idle": "2024-12-09T09:23:41.726298Z", - "shell.execute_reply": "2024-12-09T09:23:41.725869Z", - "shell.execute_reply.started": "2024-12-09T09:23:41.690440Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "import json\n", @@ -2732,17 +2641,9 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "id": "933f3eb1-8463-4782-ae45-8a1628abbb2b", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-09T09:29:03.983785Z", - "iopub.status.busy": "2024-12-09T09:29:03.983528Z", - "iopub.status.idle": "2024-12-09T09:29:04.043514Z", - "shell.execute_reply": "2024-12-09T09:29:04.042868Z", - "shell.execute_reply.started": "2024-12-09T09:29:03.983761Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "import json\n", @@ -2798,40 +2699,10 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "dd7557bf-6f1e-4d01-aa93-5a4ad46a57a5", - "metadata": { - "execution": { - "iopub.execute_input": "2024-12-11T06:12:49.795632Z", - "iopub.status.busy": "2024-12-11T06:12:49.794818Z", - "iopub.status.idle": "2024-12-11T06:12:49.967842Z", - "shell.execute_reply": "2024-12-11T06:12:49.967393Z", - "shell.execute_reply.started": "2024-12-11T06:12:49.795561Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3437581 李成伟\n", - "3526193 李可\n", - "3464205 胡雨丹\n", - "1010 邱亮\n", - "1012 吴磊\n", - "3464081 刘权\n", - "3125625 宋霰\n", - "1020 贾俊\n", - "1022 徐敬\n", - "1023 彭一夫\n", - "1024 刘至清\n", - "1053 刘志刚\n", - "1058 杨红\n", - "1069 李鑫\n", - "1144 黄英杰\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import openpyxl\n", @@ -2857,17 +2728,25 @@ " print(k,v['name'])" ] }, + { + "cell_type": "markdown", + "id": "26582cc3-4675-4f4f-8c22-4fc499e70481", + "metadata": {}, + "source": [ + "## 汇总三组人员" + ] + }, { "cell_type": "code", - "execution_count": 6, - "id": "ded0ac64-9ba2-4d64-9617-e0961b437d4e", + "execution_count": 25, + "id": "952bbc05-afee-4247-810b-49f37b7fe939", "metadata": { "execution": { - "iopub.execute_input": "2024-12-11T06:33:09.011061Z", - "iopub.status.busy": "2024-12-11T06:33:09.010467Z", - "iopub.status.idle": "2024-12-11T06:33:09.030379Z", - "shell.execute_reply": "2024-12-11T06:33:09.029760Z", - "shell.execute_reply.started": "2024-12-11T06:33:09.011010Z" + "iopub.execute_input": "2024-12-12T07:15:24.337351Z", + "iopub.status.busy": "2024-12-12T07:15:24.336594Z", + "iopub.status.idle": "2024-12-12T07:15:24.363321Z", + "shell.execute_reply": "2024-12-12T07:15:24.362508Z", + "shell.execute_reply.started": "2024-12-12T07:15:24.337276Z" } }, "outputs": [ @@ -2875,15 +2754,48 @@ "name": "stdout", "output_type": "stream", "text": [ - "29\n", - "29\n" + "305\n" ] } ], "source": [ "import json\n", - "import time\n", + "\n", + "filename = 'data/result_长炼医院人员2024(0417前）.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/result_长炼医院人员2024（湖南青年）.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl) \n", + "filename = 'data/result_长炼医院人员2024（非湖南青年）.json'\n", + "with open(filename,'r') as fl:\n", + " dict3 = json.load(fl) \n", + "\n", + "for k, v in dict2.items():\n", + " dict1[k] = v\n", + "\n", + "for k, v in dict3.items():\n", + " dict1[k] = v\n", + "\n", + "filename = 'data/result_长炼医院人员2024(汇总）.json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False) \n", + "print(len(dict1))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ded0ac64-9ba2-4d64-9617-e0961b437d4e", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import datetime\n", "import csv\n", + "from datetime import date\n", "\n", "filename = '../item1.json'\n", "item = {}\n", @@ -2892,6 +2804,19 @@ " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", + "item['1']['en'] = 'lung'\n", + "item['2']['en'] = 'grip'\n", + "item['3']['en'] = 'flexion'\n", + "item['4']['en'] = 'jump'\n", + "item['5']['en'] = 'pushup'\n", + "item['6']['en'] = 'balance'\n", + "item['7']['en'] = 'reaction'\n", + "item['8']['en'] = 'step'\n", + "item['9']['en'] = 'situp'\n", + "item['10']['en'] = 'height'\n", + "item['11']['en'] = 'weight'\n", + "\n", + "\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", @@ -2909,16 +2834,35 @@ "#print(list1)\n", "for result in list1:\n", " user = str(result[2])\n", - " if user in dict1.keys(): \n", + " rq = date.fromisoformat(result[6].replace('/','-'))\n", + " if user in dict1.keys():\n", + " l_xm = []\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]['sex'] = dict1[user]['sex']\n", + " if dict1[user]['sex'] == '男':\n", + " l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + " else:\n", + " l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\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", + " birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n", + " #birth = date.fromisoformat(dict1[user]['birth'])\n", + " #nian = int(birth[0].strip())\n", + " #yue = int(birth[1].strip())\n", + " #ri = int(birth[2].strip())\n", + " #print(k,nian,yue,ri)\n", + " item_name = item[m_item]['en'] \n", + " if item_name in l_xm: \n", + " days = (rq-birth).days \n", + " re_ta[user]['age'] = int(days/365)\n", + " re_ta[user]['month'] = int(days/365*12)\n", + " re_ta[user]['rq'] = result[6]\n", + "\n", + "\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_长炼医院人员2024(0417前）.json'\n", "\n", @@ -2933,6 +2877,219 @@ "id": "7583ad54-3e66-4ef8-ae51-f01eda2bf647", "metadata": {}, "outputs": [], + "source": [ + "import json\n", + "import time\n", + "\n", + "filename = '../item1.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict3 = json.load(fl) \n", + "for k,v in dict3.items():\n", + " item[k] = v\n", + "item['1']['en'] = 'lung'\n", + "item['2']['en'] = 'grip'\n", + "item['3']['en'] = 'flexion'\n", + "item['4']['en'] = 'jump'\n", + "item['5']['en'] = 'pushup'\n", + "item['6']['en'] = 'balance'\n", + "item['7']['en'] = 'reaction'\n", + "item['8']['en'] = 'step'\n", + "item['9']['en'] = 'situp'\n", + "item['10']['en'] = 'height'\n", + "item['11']['en'] = 'weight'\n", + "\n", + "filename = 'data/体质检测标准 (1).json' \n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "\n", + "\n", + "def cal_score(data1):\n", + " #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n", + " person = dict1['person']\n", + " criteria = dict1['criteria']\n", + " if data1['age'] >59:\n", + " data1['age'] = 59\n", + " if data1['age'] <20:\n", + " data1['age'] = 20\n", + " info = data1['sex']+str(data1['age'])\n", + " bz = person[info]\n", + " mx = criteria[bz][data1['item']]\n", + " result = data1['result'] \n", + " if data1['item'] == 'reaction':\n", + " for bz1 in mx:\n", + " if result > bz1:\n", + " #print(bz1)\n", + " score = mx.index(bz1,0)\n", + " break\n", + " else:\n", + " score = 5\n", + " else:\n", + " for bz1 in mx:\n", + " if result < bz1:\n", + " #print(bz1)\n", + " score = mx.index(bz1,0)\n", + " break\n", + " else:\n", + " score = 5\n", + " return(score)\n", + "filename = 'data/体质检测标准_BMI.json'\n", + "with open(filename,'r') as fl:\n", + " dict4 = json.load(fl) \n", + " \n", + "def cal_bmi(data1):\n", + " # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n", + " person = dict4['person']\n", + " criteria = dict4['criteria']\n", + " if data1['age'] > 59:\n", + " data1['age'] = 59\n", + " if data1['age'] <20:\n", + " data1['age'] = 20\n", + " info = data1['sex']+str(data1['age'])\n", + " bz = person[info]\n", + " #print(bz)\n", + " result = data1['result']\n", + " #print(data1['code'],result)\n", + " height = int(float(result.split(',')[0]))\n", + " weight = float(result.split(',')[1])\n", + " if str(height) not in criteria[bz]:\n", + " score = 1\n", + " else: \n", + " mx = criteria[bz][str(height)]\n", + " if weight < mx[0]:\n", + " score = 1\n", + " elif weight < mx[1]:\n", + " score = 3\n", + " elif weight < mx[2]:\n", + " score = 5 \n", + " elif weight <= mx[3]:\n", + " score = 3 \n", + " elif weight > mx[3]:\n", + " score = 1\n", + " return score\n", + " \n", + " \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_长炼医院人员2024(0417前）.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 'height' in v.keys() and 'weight' in v.keys():\n", + " bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\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'] = 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", + " dict2[k][item_en]['score'] = cal_score(data1)\n", + " #print(k,v[item_en]['成绩'],cal_score(data1))\n", + "filename = f'data/result_长炼医院人员2024(0417前）.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "dda61f0c-d789-491e-a5b3-c15122bc35be", + "metadata": { + "execution": { + "iopub.execute_input": "2024-12-12T07:17:38.512812Z", + "iopub.status.busy": "2024-12-12T07:17:38.512027Z", + "iopub.status.idle": "2024-12-12T07:20:00.155132Z", + "shell.execute_reply": "2024-12-12T07:20:00.154082Z", + "shell.execute_reply.started": "2024-12-12T07:17:38.512739Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "302\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_长炼医院人员2024(汇总）.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "file_path ='./长炼医院2024/'\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(7,\"0\")\n", + " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", + " mydata['title'] = '中石化长岭分公司'\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": "9415e7a4-0d4c-4d7e-bdd0-4ec7be9006fb", + "metadata": {}, + "outputs": [], "source": [] } ],