From b894e793a5e66e11f78531afac223b1183e7e75a Mon Sep 17 00:00:00 2001 From: 512song Date: Mon, 22 Dec 2025 21:13:47 +0800 Subject: [PATCH] 20251222 --- 体测单位/东营老年大学.ipynb | 217 ++++++-- 体测单位/体质检测数据处理.ipynb | 150 ++++-- 体测单位/南京化工.ipynb | 688 +++++++++++++++++++++++++- 体测单位/宁夏能化.ipynb | 520 ++++++++++++++++--- 体测单位/新疆油田采油工艺研究院.ipynb | 332 ++++++++++++- 5 files changed, 1705 insertions(+), 202 deletions(-) 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 62c7c21..6ec0866 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 @@ -116,6 +116,59 @@ "print('ok')" ] }, + { + "cell_type": "code", + "execution_count": 25, + "id": "de0185f6-a3ce-4d12-96d5-2d4fd01cf293", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T03:19:11.165261Z", + "iopub.status.busy": "2025-12-19T03:19:11.164496Z", + "iopub.status.idle": "2025-12-19T03:19:11.195061Z", + "shell.execute_reply": "2025-12-19T03:19:11.194508Z", + "shell.execute_reply.started": "2025-12-19T03:19:11.165190Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "85\n", + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "from datetime import date\n", + "\n", + "wb = openpyxl.load_workbook('data/东营老年大学北体班2025年度复测花名册.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " code = int(sheet.cell(n, 1).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value\n", + " dict1['sex'] = sheet.cell(n, 3).value\n", + " dict1['unit'] = sheet.cell(n, 5).value\n", + " dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n", + " #dict1['age'] = sheet.cell(n, 6).value\n", + " if sheet.cell(n,6).value is not None:\n", + " dict1['phone'] = str(sheet.cell(n,6).value) \n", + " person[code] = dict1\n", + "filename = 'data/东营老年大学北体班2025年度复测.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": "code", "execution_count": 88, @@ -473,6 +526,85 @@ "print(len(re_ta))" ] }, + { + "cell_type": "code", + "execution_count": 26, + "id": "b6faa6d3-8237-4e75-9014-a76826ae2c36", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T03:19:24.207176Z", + "iopub.status.busy": "2025-12-19T03:19:24.206625Z", + "iopub.status.idle": "2025-12-19T03:19:24.227876Z", + "shell.execute_reply": "2025-12-19T03:19:24.226944Z", + "shell.execute_reply.started": "2025-12-19T03:19:24.207123Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "59\n" + ] + } + ], + "source": [ + "import json\n", + "import datetime\n", + "import csv\n", + "from datetime import date\n", + "\n", + "\n", + "re_ta = {}\n", + "list1 = []\n", + "filename = 'data/东营老年大学北体班2025年度复测.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/marks_20251219.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", + "\n", + "for result in list1:\n", + " user = str(result[2])\n", + " rq = date.fromisoformat(result[5].replace('/','-'))\n", + " if user in dict1.keys():\n", + " #print(user)\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 = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + " else:\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[5]\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = result[4] \n", + " re_ta[user][item_name]['成绩'] = score\n", + "\n", + "filename = 'data/result_东营老年大学北体班2025年度复测.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": "74ec60b7-b1d9-488d-95fa-4ddd020c2a4c", @@ -483,15 +615,15 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "id": "c3b99428-00d5-45ea-9803-261194525fa4", "metadata": { "execution": { - "iopub.execute_input": "2025-12-12T13:13:35.809342Z", - "iopub.status.busy": "2025-12-12T13:13:35.808036Z", - "iopub.status.idle": "2025-12-12T13:13:35.820106Z", - "shell.execute_reply": "2025-12-12T13:13:35.818957Z", - "shell.execute_reply.started": "2025-12-12T13:13:35.809273Z" + "iopub.execute_input": "2025-12-19T03:19:29.967201Z", + "iopub.status.busy": "2025-12-19T03:19:29.966497Z", + "iopub.status.idle": "2025-12-19T03:19:29.983427Z", + "shell.execute_reply": "2025-12-19T03:19:29.982437Z", + "shell.execute_reply.started": "2025-12-19T03:19:29.967135Z" } }, "outputs": [ @@ -499,7 +631,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "ok!\n" + "ok! 59\n" ] } ], @@ -510,7 +642,7 @@ "\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_油田老年大学年度体质复测.json'\n", + "filename = 'data/result_东营老年大学北体班2025年度复测.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "for k, v in dict2.items():\n", @@ -533,10 +665,10 @@ " dict2[k][item_en]['score'] = My.cal_score(data1)\n", " #print(k,v[item_en]['成绩'],cal_score(data1))\n", "\n", - "filename = 'data/result_油田老年大学年度体质复测.json'\n", + "filename = 'data/result_东营老年大学北体班2025年度复测.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", - "print('ok!') " + "print('ok!',len(dict2)) " ] }, { @@ -1008,15 +1140,15 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 28, "id": "0ba2e1a3-78c8-44d9-ab7d-b17b52b0a99f", "metadata": { "execution": { - "iopub.execute_input": "2025-12-12T13:38:13.857680Z", - "iopub.status.busy": "2025-12-12T13:38:13.856977Z", - "iopub.status.idle": "2025-12-12T13:38:13.880423Z", - "shell.execute_reply": "2025-12-12T13:38:13.879532Z", - "shell.execute_reply.started": "2025-12-12T13:38:13.857614Z" + "iopub.execute_input": "2025-12-19T03:19:45.959079Z", + "iopub.status.busy": "2025-12-19T03:19:45.958247Z", + "iopub.status.idle": "2025-12-19T03:19:45.990040Z", + "shell.execute_reply": "2025-12-19T03:19:45.989559Z", + "shell.execute_reply.started": "2025-12-19T03:19:45.959012Z" } }, "outputs": [ @@ -1024,21 +1156,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "15684378667\n", - "15684378667\n", - "13699180673\n", - "15105461296\n", - "13012909096\n", - "13954605763\n", - "13287350839\n", - "13561090015\n", - "13287336162\n", - "13963396946\n", - "15105461298\n", - "13864739068\n", - "13013569039\n", - "13864757610\n", - "15725185717\n" + "59\n" ] } ], @@ -1051,13 +1169,13 @@ "\n", "dict1 = {}\n", "\n", - "filename = 'data/result_油田老年大学年度体质复测.json'\n", + "filename = 'data/result_东营老年大学北体班2025年度复测.json'\n", "with open(filename,'r') as fl:\n", - " dict3 = json.load(fl)\n", - "\n", + " dict1 = json.load(fl)\n", + "print(len(dict1))\n", "\n", "list1 = []\n", - "filename = 'data/sql_20251212.csv'\n", + "filename = 'data/sql_20251219.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", @@ -1077,11 +1195,8 @@ " for i in range(0,26):\n", " spine.append(0)\n", " phone = item[0][2:]\n", - " print(phone)\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(phone)\n", + " \n", "for item in list1:\n", " #print(item)\n", " psy = []\n", @@ -1136,7 +1251,7 @@ " \n", " dict1[k1]['rq'] = item[2].replace('/','-').split(' ')[0]\n", "#print(dict1)\n", - "filename = 'data/result_油田老年大学年度体质复测.json'\n", + "filename = 'data/result_东营老年大学北体班2025年度复测.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False) " @@ -1305,15 +1420,15 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 29, "id": "7ee80847-2bc0-4cbe-9534-c5dcf97c2833", "metadata": { "execution": { - "iopub.execute_input": "2025-12-12T13:38:35.200844Z", - "iopub.status.busy": "2025-12-12T13:38:35.200220Z", - "iopub.status.idle": "2025-12-12T13:38:42.941941Z", - "shell.execute_reply": "2025-12-12T13:38:42.941270Z", - "shell.execute_reply.started": "2025-12-12T13:38:35.200787Z" + "iopub.execute_input": "2025-12-19T03:19:56.159337Z", + "iopub.status.busy": "2025-12-19T03:19:56.157645Z", + "iopub.status.idle": "2025-12-19T03:20:30.404540Z", + "shell.execute_reply": "2025-12-19T03:20:30.403593Z", + "shell.execute_reply.started": "2025-12-19T03:19:56.159261Z" } }, "outputs": [ @@ -1321,7 +1436,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "12\n" + "59\n" ] } ], @@ -1334,11 +1449,11 @@ "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", - "filename = 'data/result_油田老年大学年度体质复测.json'\n", + "filename = 'data/result_东营老年大学北体班2025年度复测.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", - "file_path ='./油田老年大学年度体质复测/'\n", + "file_path ='./油田老年大学北体班2025年度体质复测/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = []\n", @@ -1348,7 +1463,7 @@ " \n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", - " mydata['title'] = '油田老年大学年度体质复测'\n", + " mydata['title'] = '油田老年大学北体班年度体质复测'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\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 367f796..53a2322 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 @@ -1632,20 +1632,36 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "46aa847d-e1fe-45bd-85b6-e2d792ec8842", - "metadata": {}, - "outputs": [], + "execution_count": 14, + "id": "9ace695e-6a23-44d4-b284-8e8d9805eb81", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T12:50:48.618259Z", + "iopub.status.busy": "2025-12-19T12:50:48.617488Z", + "iopub.status.idle": "2025-12-19T12:50:48.633205Z", + "shell.execute_reply": "2025-12-19T12:50:48.632731Z", + "shell.execute_reply.started": "2025-12-19T12:50:48.618188Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "75\n" + ] + } + ], "source": [ "import json\n", "import openpyxl\n", "\n", "\n", - "filename = 'data/result_沧州炼化-1.json'\n", + "filename = 'data/result_南京化工（2512）-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", - " \n", + "\n", "#items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", "items = {}\n", "items['lung'] = '肺活量'\n", @@ -1690,10 +1706,11 @@ " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n", " score = score + v[item]['score']\n", - " mydata['score'] = round(score/len(mydata['fits']),2)\n", + " \n", " if len(mydata['fits']) >2:\n", + " mydata['score'] = round(score/len(mydata['fits']),2)\n", " dict2[str(k)] = mydata\n", - "filename = f'data/data_沧州炼化.json'\n", + "filename = f'data/data_南京化工(202512).json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", "print(len(dict2)) " @@ -1709,17 +1726,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "63edd636-f034-4aa6-8575-63d5cdb84adb", "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T12:51:01.984861Z", + "iopub.status.busy": "2025-12-19T12:51:01.984219Z", + "iopub.status.idle": "2025-12-19T12:51:01.994995Z", + "shell.execute_reply": "2025-12-19T12:51:01.993895Z", + "shell.execute_reply.started": "2025-12-19T12:51:01.984802Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "平均成绩：2.5654分，男性：63人\n", + "平均成绩：2.675分，女性：12人\n", + "平均成绩：2.5829分，总体：75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_沧州炼化.json'\n", + "filename = 'data/data_南京化工(202512).json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "i = 1\n", @@ -1753,12 +1787,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "1b4a3f02-9b2e-41fc-ac6c-8163907a07f1", "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T12:51:42.136559Z", + "iopub.status.busy": "2025-12-19T12:51:42.135934Z", + "iopub.status.idle": "2025-12-19T12:51:42.152707Z", + "shell.execute_reply": "2025-12-19T12:51:42.151634Z", + "shell.execute_reply.started": "2025-12-19T12:51:42.136501Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0~255分人数：33人,男性：31人,女性:2人\n", + "256~332分人数：35人,男性：26人,女性:9人\n", + "333~367分人数：5人,男性：5人,女性:0人\n", + "368~500分人数：2人,男性：1人,女性:1人\n", + "75\n", + "ok\n" + ] + } + ], "source": [ "import json\n", "\n", @@ -2012,13 +2066,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "ad69c45d-3f62-42df-894d-47424e759029", "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T12:52:40.178756Z", + "iopub.status.busy": "2025-12-19T12:52:40.178152Z", + "iopub.status.idle": "2025-12-19T12:52:40.184826Z", + "shell.execute_reply": "2025-12-19T12:52:40.184289Z", + "shell.execute_reply.started": "2025-12-19T12:52:40.178722Z" + }, "scrolled": true, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BMI 1.19 75\n", + "肺活量 3.33 73\n", + "握力 3.39 75\n", + "坐位体前屈 2.29 72\n", + "纵跳 2.29 70\n", + "俯卧撑 2.58 52\n", + "一分钟仰卧起坐 3.67 9\n", + "单脚站立 2.35 75\n", + "选择反应时 3.54 74\n", + "台阶指数 2.2 46\n" + ] + } + ], "source": [ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", @@ -2310,15 +2388,15 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 18, "id": "6f9768ce-2ef5-4253-9fc6-49dbdcf00a19", "metadata": { "execution": { - "iopub.execute_input": "2025-12-12T13:17:17.795264Z", - "iopub.status.busy": "2025-12-12T13:17:17.794719Z", - "iopub.status.idle": "2025-12-12T13:17:17.805357Z", - "shell.execute_reply": "2025-12-12T13:17:17.804292Z", - "shell.execute_reply.started": "2025-12-12T13:17:17.795214Z" + "iopub.execute_input": "2025-12-22T11:04:03.470806Z", + "iopub.status.busy": "2025-12-22T11:04:03.470172Z", + "iopub.status.idle": "2025-12-22T11:04:03.479616Z", + "shell.execute_reply": "2025-12-22T11:04:03.479011Z", + "shell.execute_reply.started": "2025-12-22T11:04:03.470775Z" } }, "outputs": [], @@ -2672,35 +2750,23 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 19, "id": "9ecd3ad8-c8af-4f3e-90e5-1618fea905a4", "metadata": { "execution": { - "iopub.execute_input": "2025-12-12T13:46:10.803542Z", - "iopub.status.busy": "2025-12-12T13:46:10.802812Z", - "iopub.status.idle": "2025-12-12T13:46:10.973193Z", - "shell.execute_reply": "2025-12-12T13:46:10.972533Z", - "shell.execute_reply.started": "2025-12-12T13:46:10.803460Z" + "iopub.execute_input": "2025-12-22T11:04:25.639587Z", + "iopub.status.busy": "2025-12-22T11:04:25.638549Z", + "iopub.status.idle": "2025-12-22T11:04:25.677688Z", + "shell.execute_reply": "2025-12-22T11:04:25.677118Z", + "shell.execute_reply.started": "2025-12-22T11:04:25.639534Z" } }, - "outputs": [ - { - "ename": "IndexError", - "evalue": "list index out of range", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[9], line 57\u001b[0m\n\u001b[1;32m 55\u001b[0m psy\u001b[38;5;241m=\u001b[39mv[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpsy_yangmiao_old\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m26\u001b[39m,\u001b[38;5;241m40\u001b[39m):\n\u001b[0;32m---> 57\u001b[0m new_valve \u001b[38;5;241m=\u001b[39m \u001b[43mpsy\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 58\u001b[0m psy[i] \u001b[38;5;241m=\u001b[39m new_valve\n\u001b[1;32m 59\u001b[0m dict3 \u001b[38;5;241m=\u001b[39m {}\n", - "\u001b[0;31mIndexError\u001b[0m: list index out of range" - ] - } - ], + "outputs": [], "source": [ "import openpyxl\n", "\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", - "filename = 'data/result_油田老年大学年度体质复测.json'\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", "data_list = []\n", @@ -2782,7 +2848,7 @@ " list6.append('')\n", " i+=1\n", " data_list.append(list6)\n", - "filename = 'data/油田老年大学年度体质复测体质检测明细表(2025年11月）.xlsx'\n", + "filename = 'data/新疆油田乒乓球高阶培训班.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "title = ['编号', '姓名', '性别', '单位/部门', '年龄', '身高', '体重', 'bmi', '肺活量', '得分', '握力', '得分', '坐位体前屈', '得分', '纵跳', '得分', '俯卧撑', '得分', '单脚站立', '得分', '选择反应时', '得分', '台阶指数', '得分', '一分钟仰卧起坐', '得分', '中医体质', '是否倾向', '平和', '气虚', '阳虚', '阴虚', '痰湿', '湿热', '血瘀', '气郁', '特禀', '成就感', '愉快心理', '放松程度', '压力应对', '体力充沛', '情感充沛度', '颈椎', '胸椎', '腰椎', '骶尾椎']\n", diff --git a/体测单位/南京化工.ipynb b/体测单位/南京化工.ipynb index 83b2652..20747bb 100644 --- a/体测单位/南京化工.ipynb +++ b/体测单位/南京化工.ipynb @@ -42,6 +42,53 @@ "print(len(person),'ok')" ] }, + { + "cell_type": "code", + "execution_count": 50, + "id": "4b8567fe-1d70-4361-9fda-6180033843ea", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T13:00:53.324989Z", + "iopub.status.busy": "2025-12-19T13:00:53.324102Z", + "iopub.status.idle": "2025-12-19T13:00:53.345891Z", + "shell.execute_reply": "2025-12-19T13:00:53.345160Z", + "shell.execute_reply.started": "2025-12-19T13:00:53.324915Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/南化合作者.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(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 1).value\n", + " dict1['sex'] = sheet.cell(n, 4).value\n", + " dict1['unit'] = ''\n", + " dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0]\n", + " person[code] = dict1\n", + "filename = 'data/南京合作者.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": "048a95aa-1691-45f6-b933-6eaf95ae1d30", @@ -90,11 +137,51 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "970e171e-1360-448f-a28c-520ccb8f314a", + "execution_count": 51, + "id": "b5676c48-cbc2-49d5-a87d-bb4fba4c27fa", "metadata": { - "tags": [] + "execution": { + "iopub.execute_input": "2025-12-19T13:01:09.505132Z", + "iopub.status.busy": "2025-12-19T13:01:09.504235Z", + "iopub.status.idle": "2025-12-19T13:01:09.517218Z", + "shell.execute_reply": "2025-12-19T13:01:09.515931Z", + "shell.execute_reply.started": "2025-12-19T13:01:09.505045Z" + } }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\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/南京化工人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "filename = 'data/marks_20251219-1.csv'\n", + "re_ta = My.get_result(filename,dict1)\n", + "\n", + "\n", + "filename = 'data/result_南京化工（2512）.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": "4d77a1bf-74fa-4836-95bc-b52311e26ea2", + "metadata": {}, "outputs": [], "source": [ "import json\n", @@ -106,11 +193,11 @@ "filename = 'data/南京化工人员.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", - "filename = 'data/marks_20250703.csv'\n", + "filename = 'data/marks_20251219-1.csv'\n", "re_ta = My.get_result(filename,dict1)\n", "\n", "\n", - "filename = 'data/result_南京化工.json'\n", + "filename = 'data/result_南京化工（2512）.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" @@ -126,10 +213,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, "id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b", - "metadata": {}, - "outputs": [], + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T13:01:55.523463Z", + "iopub.status.busy": "2025-12-19T13:01:55.522900Z", + "iopub.status.idle": "2025-12-19T13:01:55.535201Z", + "shell.execute_reply": "2025-12-19T13:01:55.533872Z", + "shell.execute_reply.started": "2025-12-19T13:01:55.523413Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok!\n" + ] + } + ], "source": [ "import json\n", "import time\n", @@ -137,7 +240,7 @@ "\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_南京化工.json'\n", + "filename = 'data/result_南京化工（2512）.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "for k, v in dict2.items():\n", @@ -160,7 +263,65 @@ " 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_南京化工.json'\n", + "filename = f'data/result_南京化工（2512）.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "15c8a68c-86ce-441e-99c2-5fc803003ffd", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T13:00:15.836697Z", + "iopub.status.busy": "2025-12-19T13:00:15.835734Z", + "iopub.status.idle": "2025-12-19T13:00:15.844310Z", + "shell.execute_reply": "2025-12-19T13:00:15.843424Z", + "shell.execute_reply.started": "2025-12-19T13:00:15.836643Z" + } + }, + "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_南京合作者.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_南京合作者.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", "print('ok!') " @@ -231,6 +392,59 @@ "wb.save(filename)" ] }, + { + "cell_type": "markdown", + "id": "6a09d6b0-537f-49e8-b9c7-acfd95d9d8b6", + "metadata": {}, + "source": [ + "## 导出未参加测试人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "ac8d363e-862b-4155-a966-3ab15d2da336", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-17T09:28:53.660937Z", + "iopub.status.busy": "2025-12-17T09:28:53.659835Z", + "iopub.status.idle": "2025-12-17T09:28:53.683257Z", + "shell.execute_reply": "2025-12-17T09:28:53.682805Z", + "shell.execute_reply.started": "2025-12-17T09:28:53.660879Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "filename = 'data/result_南京化工（2512）.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/南京化工人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "\n", + "list1 = []\n", + "\n", + "i = 1\n", + "for k, v in dict2.items(): \n", + " if k not in dict1.keys():\n", + " list2 = [i,k,v['name'],v['unit'],v['phone']]\n", + " i+=1\n", + " list1.append(list2)\n", + "#print(list1)\n", + "filename = f'data/南京化工未测试人员名单（截至20251217）.xlsx'\n", + "title = ['序号','员工编号','姓名','部门','手机号码']\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row) \n", + "wb.save(filename)" + ] + }, { "cell_type": "markdown", "id": "699c6a40-a6ae-4300-9646-708cb85aa5e8", @@ -295,6 +509,192 @@ "wb.save(filename) " ] }, + { + "cell_type": "code", + "execution_count": 16, + "id": "becf7708-1122-4d46-84f2-a790646b3c08", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-17T09:17:14.884858Z", + "iopub.status.busy": "2025-12-17T09:17:14.883621Z", + "iopub.status.idle": "2025-12-17T09:17:14.906561Z", + "shell.execute_reply": "2025-12-17T09:17:14.906028Z", + "shell.execute_reply.started": "2025-12-17T09:17:14.884762Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "filename = 'data/南京化工人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "phone = {}\n", + "for k,v in dict1.items():\n", + " if 'phone' in v.keys():\n", + " phone[str(v['phone'])] = k\n", + "list1 = []\n", + "filename = 'data/sql_20251219-1.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", + "\n", + "i =1\n", + "list2 = []\n", + "for item in list1:\n", + " content = json.loads(json.loads(item[1]))\n", + " phone_num = str(item[0])[2:]\n", + " if phone_num in phone:\n", + " content = json.loads(json.loads(item[1]))\n", + " list3 = []\n", + " list3.append(content['code'])\n", + " list3.append(content['name'])\n", + " list3.append(content['gender'])\n", + " list2.append(list3)\n", + "filename = 'data/南化问卷情况表（202512）.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": "0e36111a-cdd2-4306-92af-d5d062b0b678", + "metadata": {}, + "source": [ + "## 统计未参加问卷人员情况" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "e6e77dac-68a1-4495-b86d-6c0179ca4641", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-17T09:16:37.963798Z", + "iopub.status.busy": "2025-12-17T09:16:37.962781Z", + "iopub.status.idle": "2025-12-17T09:16:37.989342Z", + "shell.execute_reply": "2025-12-17T09:16:37.988840Z", + "shell.execute_reply.started": "2025-12-17T09:16:37.963744Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "filename = 'data/南京化工人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "phone = {}\n", + "for k,v in dict1.items():\n", + " if 'phone' in v.keys():\n", + " phone[str(v['phone'])] = k\n", + "list1 = []\n", + "filename = 'data/sql_20251217.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", + "list2 = []\n", + "for item in list1:\n", + " phone_num = str(item[0])[2:]\n", + " if phone_num in phone.keys():\n", + " code = phone[phone_num]\n", + " list3 = []\n", + " list3.append(code)\n", + " list3.append(content['code'])\n", + " list3.append(dict1[code]['name'])\n", + " list3.append(dict1[code]['sex'])\n", + " list3.append(dict1[code]['unit'])\n", + " list3.append(phone_num)\n", + " list2.append(list3)\n", + "filename = 'data/南化未参加问卷人员情况表（202512）.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": 22, + "id": "676c8816-28eb-4914-97c1-bc0a3c7896e7", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-17T09:26:57.896010Z", + "iopub.status.busy": "2025-12-17T09:26:57.895164Z", + "iopub.status.idle": "2025-12-17T09:26:57.919497Z", + "shell.execute_reply": "2025-12-17T09:26:57.918911Z", + "shell.execute_reply.started": "2025-12-17T09:26:57.895933Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "filename = 'data/南京化工人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "phone = set()\n", + "\n", + "filename = 'data/sql_20251217.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", + "list2 = []\n", + "for item in list1:\n", + " phone_num = str(item[0])[2:]\n", + " phone.add(phone_num)\n", + "for k,v in dict1.items():\n", + " if str(v['phone']) not in phone:\n", + " \n", + " list3 = []\n", + " list3.append(k)\n", + " list3.append(v['name'])\n", + " list3.append(v['sex'])\n", + " list3.append(v['unit'])\n", + " list3.append(v['phone'])\n", + " list2.append(list3)\n", + "filename = 'data/南化未参加问卷人员情况表（202512）.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, @@ -588,11 +988,35 @@ ] }, { - "cell_type": "code", - "execution_count": null, - "id": "7392d5bf-c6a8-4cdf-8653-0fb4961f1405", + "cell_type": "markdown", + "id": "72f1a3a9-ae54-4e6f-ab7f-a06771c42b28", "metadata": {}, - "outputs": [], + "source": [ + "## 导入问卷信息(20251219)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "235939f8-6072-4f72-8e83-bcbdd911125f", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T12:28:44.188661Z", + "iopub.status.busy": "2025-12-19T12:28:44.188060Z", + "iopub.status.idle": "2025-12-19T12:28:44.219189Z", + "shell.execute_reply": "2025-12-19T12:28:44.218579Z", + "shell.execute_reply.started": "2025-12-19T12:28:44.188607Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "78\n" + ] + } + ], "source": [ "import json\n", "import csv\n", @@ -601,21 +1025,60 @@ "from datetime import date\n", "\n", "\n", - "dict1 = {}\n", + "filename = f'data/南京化工人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = f'data/result_南京化工（2512）.json'\n", + "with open(filename,'r') as fl:\n", + " dict3 = json.load(fl)\n", "list1 = []\n", - "filename = 'data/sql_20251027.csv'\n", + "filename = 'data/sql_20251219-1.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", - "nn = 0\n", + "nn = 1\n", + "i =1\n", + "dict4 = {}\n", "for item in list1:\n", " dict2 = {}\n", " \n", " phone = str(item[0])[2:]\n", - " content = json.loads(item[1])\n", - " print(type(json.loads(content)))" + " 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 = str(int(dict2['code']))\n", + " if code in dict3.keys():\n", + " dict3[code]['waist'] = dict2['waist']\n", + " dict3[code]['hip'] = dict2['hip']\n", + " dict3[code]['tcm'] = tcm\n", + " elif code in dict1.keys():\n", + " dict3[code] = dict1[code]\n", + " birth = date.fromisoformat(dict3[code]['birth'].replace('/','-'))\n", + " rq = date.fromisoformat(item[2].replace('/','-').split(' ')[0])\n", + " days = (rq-birth).days \n", + " dict3[code]['age'] = int(days/365)\n", + " dict3[code]['month'] = int(days/365*12)\n", + " \n", + " dict3[code]['waist'] = dict2['waist']\n", + " dict3[code]['hip'] = dict2['hip']\n", + " dict3[code]['tcm'] = tcm\n", + " \n", + "filename = 'data/result_南京化工（2512）-1.json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict3, fl, ensure_ascii=False)\n", + "print(len(dict3))" ] }, { @@ -671,15 +1134,15 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 40, "id": "e233e6c3-9c3f-42c7-8057-012bbcfe8b26", "metadata": { "execution": { - "iopub.execute_input": "2025-10-28T02:58:52.451889Z", - "iopub.status.busy": "2025-10-28T02:58:52.451452Z", - "iopub.status.idle": "2025-10-28T02:58:52.546239Z", - "shell.execute_reply": "2025-10-28T02:58:52.545487Z", - "shell.execute_reply.started": "2025-10-28T02:58:52.451850Z" + "iopub.execute_input": "2025-12-19T12:21:00.570832Z", + "iopub.status.busy": "2025-12-19T12:21:00.570241Z", + "iopub.status.idle": "2025-12-19T12:21:00.617789Z", + "shell.execute_reply": "2025-12-19T12:21:00.617186Z", + "shell.execute_reply.started": "2025-12-19T12:21:00.570776Z" } }, "outputs": [ @@ -1306,8 +1769,181 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "id": "1b9d4042-5e73-44e3-8079-eee2c5be1858", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T12:34:33.579089Z", + "iopub.status.busy": "2025-12-19T12:34:33.578712Z", + "iopub.status.idle": "2025-12-19T12:34:33.629552Z", + "shell.execute_reply": "2025-12-19T12:34:33.629034Z", + "shell.execute_reply.started": "2025-12-19T12:34:33.579053Z" + } + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", + "filename = 'data/result_南京化工（2512）-1.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "data_list = []\n", + "for k, v in dict1.items():\n", + " list6 = []\n", + " list6.append(str(k).rjust(4,'0'))\n", + " list6.append(v['name'])\n", + " list6.append(v['sex'])\n", + " list6.append(v['unit'])\n", + " list6.append(v['age'])\n", + " if 'bmi' in v.keys():\n", + " bmi = v['bmi']['成绩']\n", + " list6.append(bmi.split(',')[0]+' 厘米')\n", + " list6.append(bmi.split(',')[1]+' 千克')\n", + " list6.append(v['bmi']['score'])\n", + " else:\n", + " list6.append('')\n", + " list6.append('')\n", + " list6.append('')\n", + " for xm in list_item:\n", + " if xm in v.keys():\n", + " list6.append(v[xm]['成绩'])\n", + " list6.append(v[xm]['score'])\n", + " else:\n", + " list6.append('')\n", + " list6.append('')\n", + " if 'waist' in v.keys():\n", + " list6.append(v['waist'])\n", + " else:\n", + " list6.append('')\n", + " if 'hip' in v.keys():\n", + " list6.append(v['hip'])\n", + " else:\n", + " list6.append('')\n", + " if 'tcm' in v.keys():\n", + " list1 = []\n", + " tcm =v['tcm']\n", + " for item in tcm:\n", + " list1.append(item)\n", + " score = tcm_calc(list1)\n", + "\n", + " result = tcm_kind(score)\n", + " kind = result['kind']\n", + " near = result['near']\n", + " #print(k,kinds[kind], near, score)\n", + " list6.append(kinds[kind])\n", + " if near:\n", + " list6.append('是')\n", + " else:\n", + " list6.append('')\n", + " for item in score:\n", + " list6.append(item)\n", + " else:\n", + " for i in range(0,11):\n", + " list6.append('')\n", + " i+=1\n", + " \n", + " data_list.append(list6)\n", + "filename = 'data/南京化工（2512）.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "title = ['编号', '姓名', '性别', '单位/部门', '年龄', '身高', '体重', 'bmi', '肺活量', '得分', '握力', '得分', '坐位体前屈', '得分', '纵跳', '得分', '俯卧撑', '得分', '单脚站立', '得分', '选择反应时', '得分', '台阶指数', '得分', '一分钟仰卧起坐', '得分','腰围','臀围','中医体质', '是否倾向', '平和', '气虚', '阳虚', '阴虚', '痰湿', '湿热', '血瘀', '气郁', '特禀']\n", + "sheet.append(title)\n", + "for row in data_list:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename) " + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "7e3a34a5-5e00-4594-b78f-c8529c5eccfd", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-19T13:06:03.574275Z", + "iopub.status.busy": "2025-12-19T13:06:03.573467Z", + "iopub.status.idle": "2025-12-19T13:06:47.044868Z", + "shell.execute_reply": "2025-12-19T13:06:47.043893Z", + "shell.execute_reply.started": "2025-12-19T13:06:03.574203Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "78\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_南京化工（2512）-1.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "file_path ='./南京化工（202512）/'\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'] = '南京化工'\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": "02b19f4d-466d-4370-8638-17b02159c28d", "metadata": {}, "outputs": [], "source": [] diff --git a/体测单位/宁夏能化.ipynb b/体测单位/宁夏能化.ipynb index fc47022..ecf50fc 100644 --- a/体测单位/宁夏能化.ipynb +++ b/体测单位/宁夏能化.ipynb @@ -1037,7 +1037,7 @@ } ], "source": [ - "##### import json\n", + "import json\n", "import csv\n", "import openpyxl\n", "import time\n", @@ -1095,6 +1095,79 @@ "print(len(dict1),'ok')" ] }, + { + "cell_type": "code", + "execution_count": 25, + "id": "02d82c2a-2319-4c0b-be58-0a1b107fdc35", + "metadata": { + "execution": { + "iopub.execute_input": "2025-12-22T07:38:35.217789Z", + "iopub.status.busy": "2025-12-22T07:38:35.217210Z", + "iopub.status.idle": "2025-12-22T07:38:35.238667Z", + "shell.execute_reply": "2025-12-22T07:38:35.238165Z", + "shell.execute_reply.started": "2025-12-22T07:38:35.217760Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "111 ok\n" + ] + } + ], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "filename = 'data/宁夏能化高危风险干预人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict3 = json.load(fl)\n", + " \n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/sql_20251222.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", + "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 = str(int(dict2['code']))\n", + " if code in dict3.keys():\n", + " dict1[code] = dict3[code]\n", + " dict1[code]['waist'] = dict2['waist']\n", + " dict1[code]['hip'] = dict2['hip']\n", + " dict1[code]['tcm'] = tcm \n", + " \n", + "\n", + "filename = 'data/survey_宁夏能化高危风险干预人员(202512).json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False)\n", + "print(len(dict1),'ok')" + ] + }, { "cell_type": "markdown", "id": "c4486c37-d1a4-460f-9997-6405c51b805c", @@ -1105,15 +1178,15 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 26, "id": "34cb26d7-cd7b-4ad5-bb7b-71cfcce16c24", "metadata": { "execution": { - "iopub.execute_input": "2025-12-09T09:51:13.116856Z", - "iopub.status.busy": "2025-12-09T09:51:13.116051Z", - "iopub.status.idle": "2025-12-09T09:51:13.133080Z", - "shell.execute_reply": "2025-12-09T09:51:13.132231Z", - "shell.execute_reply.started": "2025-12-09T09:51:13.116787Z" + "iopub.execute_input": "2025-12-22T07:39:25.697010Z", + "iopub.status.busy": "2025-12-22T07:39:25.696512Z", + "iopub.status.idle": "2025-12-22T07:39:25.707108Z", + "shell.execute_reply": "2025-12-22T07:39:25.706358Z", + "shell.execute_reply.started": "2025-12-22T07:39:25.696961Z" } }, "outputs": [], @@ -1179,15 +1252,15 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 27, "id": "d78c0f3f-cd1a-4c6c-9f5b-b1b874a95fe3", "metadata": { "execution": { - "iopub.execute_input": "2025-12-09T09:52:01.947920Z", - "iopub.status.busy": "2025-12-09T09:52:01.947633Z", - "iopub.status.idle": "2025-12-09T09:52:01.999096Z", - "shell.execute_reply": "2025-12-09T09:52:01.998620Z", - "shell.execute_reply.started": "2025-12-09T09:52:01.947897Z" + "iopub.execute_input": "2025-12-22T07:40:30.226248Z", + "iopub.status.busy": "2025-12-22T07:40:30.225697Z", + "iopub.status.idle": "2025-12-22T07:40:30.260291Z", + "shell.execute_reply": "2025-12-22T07:40:30.259853Z", + "shell.execute_reply.started": "2025-12-22T07:40:30.226194Z" } }, "outputs": [], @@ -1195,7 +1268,7 @@ "import openpyxl\n", "\n", "\n", - "filename = 'data/survey_宁夏能化高危风险干预人员.json'\n", + "filename = 'data/survey_宁夏能化高危风险干预人员(202512).json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "data_list = []\n", @@ -1233,7 +1306,7 @@ " i+=1\n", " \n", " data_list.append(list6)\n", - "filename = 'data/宁夏能化高危风险干预人员体质问卷明细表(20251209）.xlsx'\n", + "filename = 'data/宁夏能化高危风险干预人员体质问卷明细表(20251222）.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "title = ['编号', '姓名', '性别', '单位/部门', '年龄', '腰围', '臀围', '中医体质', '是否倾向', '平和', '气虚', '阳虚', '阴虚', '痰湿', '湿热', '血瘀', '气郁', '特禀']\n", @@ -1308,15 +1381,15 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 15, "id": "22be8f39-afbb-448a-8ae6-c825c7d38757", "metadata": { "execution": { - "iopub.execute_input": "2025-12-14T23:43:21.978932Z", - "iopub.status.busy": "2025-12-14T23:43:21.978409Z", - "iopub.status.idle": "2025-12-14T23:43:22.273147Z", - "shell.execute_reply": "2025-12-14T23:43:22.272647Z", - "shell.execute_reply.started": "2025-12-14T23:43:21.978883Z" + "iopub.execute_input": "2025-12-22T03:43:54.245786Z", + "iopub.status.busy": "2025-12-22T03:43:54.245059Z", + "iopub.status.idle": "2025-12-22T03:43:54.418251Z", + "shell.execute_reply": "2025-12-22T03:43:54.417770Z", + "shell.execute_reply.started": "2025-12-22T03:43:54.245721Z" } }, "outputs": [], @@ -1327,7 +1400,7 @@ "\n", "title = []\n", "\n", - "filename = 'data/surveys_records_2025-12-15.json'\n", + "filename = 'data/surveys_records_2025-12-22.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", @@ -1352,7 +1425,7 @@ " \n", " list1.append(list2)\n", "all_title = ['id', 'date_created','name', 'gender', 'birth', 'code', 'unit', 'height', 'weight', 'next_weight', 'waist', 'hip', 'level4', 'level3', 'level2', 'recipe', 'level1', 'last_level4', 'last_level3', 'last_level2', 'last_level1', 'last_recipe', 'last_lose', 'last_sport', 'sport_type', 'sport_duration', 'last_sport_time', 'last_lose-Comment', 'last_recipe-Comment', 'last_lose_weight', 'last_sport-Comment', 'sport_type-Comment']\n", - "filename = 'data/宁夏能化干预人员问卷（20251215）.xlsx'\n", + "filename = 'data/宁夏能化干预人员问卷（20251222）.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(all_title)\n", @@ -1388,15 +1461,15 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 16, "id": "91c53866-3725-4ceb-b0eb-23fb14e20561", "metadata": { "execution": { - "iopub.execute_input": "2025-12-14T23:43:35.251673Z", - "iopub.status.busy": "2025-12-14T23:43:35.251057Z", - "iopub.status.idle": "2025-12-14T23:43:35.339896Z", - "shell.execute_reply": "2025-12-14T23:43:35.339186Z", - "shell.execute_reply.started": "2025-12-14T23:43:35.251623Z" + "iopub.execute_input": "2025-12-22T03:44:05.908310Z", + "iopub.status.busy": "2025-12-22T03:44:05.907768Z", + "iopub.status.idle": "2025-12-22T03:44:06.062310Z", + "shell.execute_reply": "2025-12-22T03:44:06.061610Z", + "shell.execute_reply.started": "2025-12-22T03:44:05.908261Z" } }, "outputs": [ @@ -1404,24 +1477,26 @@ "name": "stdout", "output_type": "stream", "text": [ - "('梁正武', '男', '电气仪表中心', '1984-05-01', '02018801', 1)\n", - "('张艳萍', '女', '公用工程运行部', '1978-09-01', '02020548', 1)\n", - "('叶云飞', '男', '公用工程运行部', '1985-11-01', '02019460', 1)\n", - "('李效龙', '男', 'BDO运行部', '1987-09-01', '0201968', 1)\n", - "('何富来', '男', '宁夏能化', '1983-03-01', '02019507', 1)\n", - "('马荣', '女', '公用工程运行部', '1984-03-01', '02020205', 1)\n", - "('刘永清', '男', '热电运行部', '1968-10-01', '02019958', 1)\n", - "('马学锋', '男', '热电运行部', '1974-12-01', '02020025', 1)\n", - "('段庆霖', '男', '热电运行部', '1990-02-01', '02020062', 1)\n", - "('周卫星', '男', '热电运行部', '1970-05-01', '02019986', 1)\n", - "('姚户昌', '男', '热电运行部', '1970-12-01', '02019968', 1)\n", - "('姜德溪', '男', '热电运行部', '1970-01-01', '2019970', 1)\n", - "('陈海宝', '男', '乙炔运行部', '1990-07-01', '02019346', 1)\n", - "('丁红忠', '男', '热电运行部', '1990-09-01', '02020160', 1)\n", - "('孙柏', '男', '环保建材运行部', '1982-03-01', '02020446', 1)\n", - "('黄博', '男', '物资采购中心', '1995-12-01', '03391681', 1)\n", - "('王正东', '男', '热电运行部', '1990-01-01', '03428864', 1)\n", - "17\n" + "('汪晖', '男', '销售中心', '1971-02-01', '02019646', 1)\n", + "('马燕金', '男', '销售中心', '1983-04-01', '02018528', 1)\n", + "('孙皓', '男', '销售中心', '1990-10-01', '02019111', 1)\n", + "('李润良', '男', '环保建材运行部', '1992-06-01', '03427471', 1)\n", + "('王春光', '男', '环保建材运行部', '1969-12-01', '02020528', 1)\n", + "('户利平', '男', '环保建材运行部', '1969-08-01', '02020512', 1)\n", + "('马婉婷', '女', '公用工程运行部', '2001-11-01', '03561578', 1)\n", + "('储方伟', '男', '环保建材运行部', '1976-01-01', '02020483', 1)\n", + "('马斯勇', '男', '环保建材运行部', '1987-08-01', '02020525', 1)\n", + "('康磊', '男', '公用工程运行部', '1987-07-01', '02020289', 1)\n", + "('王涛', '男', '环保建材运行部', '1982-07-01', '00000521', 1)\n", + "('杨德忠', '男', '公用工程运行部', '1972-11-01', '02020306', 1)\n", + "('杨思国', '男', '电气仪表中心', '1981-04-01', '02018877', 1)\n", + "('党金广', '男', '电气仪表中心', '1987-08-01', '02018839', 1)\n", + "('张锋', '男', '电气仪表中心', '1971-05-01', '02020003', 1)\n", + "('张磊', '男', '电气仪表中心', '1989-12-01', '02018949', 1)\n", + "('秦国振', '男', '电气仪表中心', '1997-07-01', '03462294', 1)\n", + "('陈龙', '男', '电气仪表中心', '1981-05-01', '02018914', 1)\n", + "('朱岳峰', '男', '电气仪表中心', '1988-02-01', '02018865', 1)\n", + "19\n" ] } ], @@ -1437,7 +1512,7 @@ " password=\"songyi\"\n", ")\n", "cur = conn.cursor()\n", - "wb = openpyxl.load_workbook('data/宁夏能化干预人员问卷（20251215）.xlsx',data_only=True)\n", + "wb = openpyxl.load_workbook('data/宁夏能化干预人员问卷（20251222）.xlsx',data_only=True)\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "org_id = 1\n", @@ -1571,15 +1646,15 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 20, "id": "b7133988-213c-4b52-8d6b-17b56b8ea310", "metadata": { "execution": { - "iopub.execute_input": "2025-12-14T23:43:56.303850Z", - "iopub.status.busy": "2025-12-14T23:43:56.303555Z", - "iopub.status.idle": "2025-12-14T23:43:56.413335Z", - "shell.execute_reply": "2025-12-14T23:43:56.412897Z", - "shell.execute_reply.started": "2025-12-14T23:43:56.303825Z" + "iopub.execute_input": "2025-12-22T03:49:22.646173Z", + "iopub.status.busy": "2025-12-22T03:49:22.645514Z", + "iopub.status.idle": "2025-12-22T03:49:22.842656Z", + "shell.execute_reply": "2025-12-22T03:49:22.842110Z", + "shell.execute_reply.started": "2025-12-22T03:49:22.646116Z" } }, "outputs": [ @@ -1587,7 +1662,313 @@ "name": "stdout", "output_type": "stream", "text": [ - "108 ok\n" + "02019646\n", + "2018434\n", + "02018586\n", + "02018444\n", + "02020443\n", + "02020415\n", + "02018446\n", + "2018447\n", + "03533284\n", + "02020243\n", + "02019374\n", + "02020238\n", + "02019952\n", + "03497967\n", + "02018709\n", + "02019342\n", + "02019620\n", + "02020203\n", + "02018528\n", + "02019111\n", + "02018482\n", + "02018481\n", + "02018628\n", + "02018498\n", + "02018499\n", + "964089\n", + "0214545\n", + "02020481\n", + "2018609\n", + "01348929\n", + "02020526\n", + "03427471\n", + "02020196\n", + "02020528\n", + "2019094\n", + "02020512\n", + "02020476\n", + "03561578\n", + "0003533364\n", + "02019294\n", + "02020483\n", + "02020527\n", + "02020467\n", + "02020296\n", + "02020525\n", + "02020289\n", + "03434760\n", + "02018435\n", + "2019094\n", + "02019688\n", + "02019688\n", + "03561564\n", + "02020346\n", + "02020458\n", + "00000521\n", + "02020306\n", + "02019655\n", + "02020189\n", + "02019787\n", + "02019787\n", + "02018611\n", + "02018566\n", + "02018645\n", + "02019485\n", + "02020127\n", + "02019054\n", + "2019006\n", + "028415\n", + "03462271\n", + "02028323\n", + "02020492\n", + "02018794\n", + "02018877\n", + "02018926\n", + "02018809\n", + "02018938\n", + "02020083\n", + "02018839\n", + "2018985\n", + "02019866\n", + "02018793\n", + "03428863\n", + "02019017\n", + "02018981\n", + "02020003\n", + "03462285\n", + "02018626\n", + "02018604\n", + "02018892\n", + "02018827\n", + "02018949\n", + "02019599\n", + "02019622\n", + "02018575\n", + "2018438\n", + "02019613\n", + "03363370\n", + "01702447\n", + "020186\n", + "02018709\n", + "03497967\n", + "0201968\n", + "02019641\n", + "02018709\n", + "02019697\n", + "02019021\n", + "0435\n", + "02018685\n", + "02018772\n", + "02019620\n", + "03497960\n", + "02019888\n", + "02019682\n", + "03391642\n", + "03462294\n", + "02018914\n", + "2019961\n", + "02018859\n", + "02019377\n", + "02017961\n", + "02018607\n", + "02018865\n", + "02020277\n", + "02020251\n", + "02020321\n", + "03391661\n", + "02020276\n", + "02019062\n", + "02019887\n", + "03148213\n", + "2019822\n", + "02019840\n", + "02019790\n", + "02019819\n", + "02019754\n", + "03437945\n", + "02019749\n", + "02019111\n", + "03418292\n", + "02019764\n", + "02019744\n", + "02019734\n", + "02019374\n", + "02019778\n", + "02019788\n", + "02019725\n", + "02017961\n", + "02019751\n", + "02020282\n", + "02019856\n", + "02019832\n", + "02019848\n", + "03437965\n", + "02019954\n", + "02020052\n", + "02019820\n", + "02019893\n", + "02019752\n", + "02019784\n", + "02020343\n", + "02019810\n", + "2019735\n", + "02019023\n", + "02020327\n", + "02019852\n", + "02018538\n", + "02018977\n", + "2018942\n", + "02019898\n", + "02019794\n", + "02019805\n", + "02019342\n", + "02019895\n", + "02019154\n", + "02019775\n", + "3391687\n", + "02019917\n", + "02018754\n", + "03418302\n", + "02019738\n", + "03462274\n", + "03561561\n", + "02019783\n", + "02018967\n", + "2019324\n", + "02019355\n", + "02019003\n", + "02019377\n", + "02019803\n", + "02019311\n", + "02019346\n", + "02019525\n", + "02020502\n", + "03497957\n", + "02020242\n", + "02019347\n", + "3418215\n", + "02019340\n", + "02019773\n", + "0219181\n", + "02019336\n", + "02019340\n", + "02018999\n", + "02019357\n", + "02019100\n", + "02019430\n", + "02019356\n", + "03418230\n", + "03437952\n", + "03437952\n", + "02019231\n", + "03497937\n", + "03497917\n", + "02019318\n", + "03462262\n", + "02019110\n", + "2019919\n", + "02019382\n", + "03497562\n", + "02019369\n", + "03391686\n", + "02019736\n", + "02019786\n", + "02019411\n", + "3391674\n", + "02018727\n", + "02019035\n", + "02019350\n", + "02019414\n", + "2019353\n", + "2019353\n", + "2019493\n", + "02019903\n", + "02019825\n", + "02019802\n", + "03394941\n", + "02020243\n", + "2019914\n", + "02019164\n", + "02019467\n", + "03437937\n", + "02019366\n", + "02019344\n", + "2019930\n", + "02019910\n", + "02019647\n", + "02019843\n", + "01825596\n", + "02019882\n", + "03409694\n", + "02019391\n", + "02019389\n", + "02019301\n", + "02020005\n", + "02019920\n", + "02019498\n", + "02019373\n", + "02019733\n", + "2019998\n", + "02020000\n", + "02019401\n", + "02019901\n", + "03418242\n", + "02019383\n", + "02019438\n", + "02019871\n", + "02019193\n", + "02019635\n", + "02020203\n", + "02019098\n", + "02019459\n", + "02018996\n", + "02019499\n", + "02019687\n", + "02018674\n", + "02019059\n", + "02019059\n", + "2019845\n", + "2018609\n", + "02019379\n", + "02020006\n", + "2019923\n", + "02019774\n", + "02019068\n", + "020294\n", + "03403228\n", + "3019337\n", + "02018711\n", + "03462315\n", + "02019739\n", + "02019278\n", + "02019416\n", + "2018973\n", + "02019256\n", + "02019878\n", + "02019664\n", + "02019404\n", + "02019058\n", + "02019504\n", + "02019361\n", + "02019600\n", + "02019381\n", + "02019248\n", + "02019543\n", + "02019648\n", + "02020260\n", + "287 ok\n" ] } ], @@ -1595,22 +1976,23 @@ "import json\n", "import openpyxl\n", "\n", - "wb = openpyxl.load_workbook('data/宁夏能化干预人员问卷（20251215）.xlsx',data_only=True)\n", + "wb = openpyxl.load_workbook('data/宁夏能化干预人员问卷（20251222）.xlsx',data_only=True)\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "for n in range(2, sheet.max_row+1):\n", " code = str(sheet.cell(n, 6).value)\n", + " print(code)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 3).value\n", " dict1['sex'] = sheet.cell(n, 4).value\n", " birth = str(sheet.cell(n, 5).value).split()[0]\n", " if len(birth)<10:\n", - " nian = birth.split('-')[0]\n", - " yue = birth.split('-')[1].rjust(2,'0')\n", - " if len(birth.split('-')[0]) ==3:\n", - " ri = birth.split('-')[2].rjust(2,'0')\n", + " nian = birth.replace('/','-').split('-')[0]\n", + " yue = birth.replace('/','-').split('-')[1].rjust(2,'0')\n", + " if len(birth.replace('/','-').split('-')[0]) ==3:\n", + " ri = birth.replace('/','-').split('-')[2].rjust(2,'0')\n", " else:\n", " ri = '01' \n", " dict1['birth'] = nian+'-'+ yue + '-'+ ri\n", @@ -1618,7 +2000,7 @@ " person[code] = dict1\n", "#print(person)\n", "\n", - "filename = 'data/surveys_records_2025-12-10.json'\n", + "filename = 'data/surveys_records_2025-12-22.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", @@ -1676,7 +2058,7 @@ " dict2['last_lose-Comment'] = data['last_lose-Comment']\n", " if code in person.keys():\n", " person[code][rq] = dict2\n", - "filename = 'data/宁夏能化干预人员问卷情况（20251215）.json'\n", + "filename = 'data/宁夏能化干预人员问卷情况（20251222）.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", @@ -1694,15 +2076,15 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 21, "id": "55b20059-ae36-493e-b0c5-c7e35473efc7", "metadata": { "execution": { - "iopub.execute_input": "2025-12-14T23:44:12.601625Z", - "iopub.status.busy": "2025-12-14T23:44:12.600884Z", - "iopub.status.idle": "2025-12-14T23:44:12.741676Z", - "shell.execute_reply": "2025-12-14T23:44:12.741060Z", - "shell.execute_reply.started": "2025-12-14T23:44:12.601562Z" + "iopub.execute_input": "2025-12-22T03:49:42.115930Z", + "iopub.status.busy": "2025-12-22T03:49:42.114895Z", + "iopub.status.idle": "2025-12-22T03:49:43.037249Z", + "shell.execute_reply": "2025-12-22T03:49:43.036729Z", + "shell.execute_reply.started": "2025-12-22T03:49:42.115872Z" } }, "outputs": [], @@ -1721,7 +2103,7 @@ "cur = conn.cursor()\n", "event_id = 1\n", "org_id = 1\n", - "filename = 'data/宁夏能化干预人员问卷情况（20251215）.json'\n", + "filename = 'data/宁夏能化干预人员问卷情况（20251222）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = ['name','sex','birth','unit']\n", diff --git a/体测单位/新疆油田采油工艺研究院.ipynb b/体测单位/新疆油田采油工艺研究院.ipynb index 043fa99..50a6f59 100644 --- a/体测单位/新疆油田采油工艺研究院.ipynb +++ b/体测单位/新疆油田采油工艺研究院.ipynb @@ -85,7 +85,7 @@ "id": "2ce125a6-a42f-4dd1-8c9c-a6a4ebcfce65", "metadata": {}, "source": [ - "## 体测人员导入（2025年11月）" + "### 体测人员导入（2025年11月）" ] }, { @@ -123,6 +123,67 @@ "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", @@ -185,6 +246,48 @@ "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", @@ -229,10 +332,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 40, "id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b", - "metadata": {}, - "outputs": [], + "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", @@ -240,7 +359,7 @@ "\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1.json'\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", @@ -263,7 +382,7 @@ " 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1-1.json'\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!') " @@ -438,15 +557,15 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "id": "f4fc0e48-5c8a-4ad9-817e-dd8dd1bf7b55", "metadata": { "execution": { - "iopub.execute_input": "2025-12-15T00:10:27.023346Z", - "iopub.status.busy": "2025-12-15T00:10:27.023028Z", - "iopub.status.idle": "2025-12-15T00:10:27.028151Z", - "shell.execute_reply": "2025-12-15T00:10:27.027670Z", - "shell.execute_reply.started": "2025-12-15T00:10:27.023320Z" + "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": [ @@ -454,14 +573,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "2025-07-03 2025-08-18\n" + "2025-06-27 2025-07-02\n" ] } ], "source": [ "import json\n", "\n", - "filename = 'data/result_新疆油田采油工艺研究院1-1.json'\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", @@ -826,6 +945,107 @@ "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", @@ -1038,6 +1258,90 @@ "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",