From 9ccc2271eb5cdb35b5b87958ea27c39991b5dc92 Mon Sep 17 00:00:00 2001 From: 512song Date: Fri, 6 Jun 2025 22:40:27 +0800 Subject: [PATCH] 20250606 --- 体测单位/东营石油工程设计院.ipynb | 28 +- 体测单位/体质检测数据处理.ipynb | 156 ++++++++- 体测单位/党建出版社.ipynb | 511 ++++++++++++++++++++++++------ 3 files changed, 576 insertions(+), 119 deletions(-) diff --git a/体测单位/东营石油工程设计院.ipynb b/体测单位/东营石油工程设计院.ipynb index a61cf6a..9a4f430 100644 --- a/体测单位/东营石油工程设计院.ipynb +++ b/体测单位/东营石油工程设计院.ipynb @@ -1295,15 +1295,15 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "id": "3e6da1e5-4b4e-448a-9663-815372da636b", "metadata": { "execution": { - "iopub.execute_input": "2025-05-30T06:30:09.042788Z", - "iopub.status.busy": "2025-05-30T06:30:09.041974Z", - "iopub.status.idle": "2025-05-30T06:30:09.102061Z", - "shell.execute_reply": "2025-05-30T06:30:09.101519Z", - "shell.execute_reply.started": "2025-05-30T06:30:09.042708Z" + "iopub.execute_input": "2025-06-01T02:24:52.000744Z", + "iopub.status.busy": "2025-06-01T02:24:52.000187Z", + "iopub.status.idle": "2025-06-01T02:24:52.059953Z", + "shell.execute_reply": "2025-06-01T02:24:52.059389Z", + "shell.execute_reply.started": "2025-06-01T02:24:52.000689Z" } }, "outputs": [ @@ -1320,7 +1320,7 @@ "import json\n", "\n", "\n", - "wb = openpyxl.load_workbook('data/石油工程设计有限公司人员2025.xlsx')\n", + "wb = openpyxl.load_workbook('data/石油工程设计有限公司人员2025.xlsx',data_only=True)\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", @@ -1352,15 +1352,15 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "id": "93610ae6-098d-434a-a19a-6071aaa65500", "metadata": { "execution": { - "iopub.execute_input": "2025-05-30T06:32:05.818838Z", - "iopub.status.busy": "2025-05-30T06:32:05.818215Z", - "iopub.status.idle": "2025-05-30T06:32:05.831425Z", - "shell.execute_reply": "2025-05-30T06:32:05.830336Z", - "shell.execute_reply.started": "2025-05-30T06:32:05.818778Z" + "iopub.execute_input": "2025-06-01T02:19:35.342854Z", + "iopub.status.busy": "2025-06-01T02:19:35.342124Z", + "iopub.status.idle": "2025-06-01T02:19:35.355636Z", + "shell.execute_reply": "2025-06-01T02:19:35.354344Z", + "shell.execute_reply.started": "2025-06-01T02:19:35.342790Z" } }, "outputs": [ @@ -1389,7 +1389,7 @@ "json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n", "\n", "# 将 json 数据写入文件\n", - "with open(\"data/data_东营石油工程设计院2025.json\", \"w\",encoding = 'utf-8') as file:\n", + "with open(\"data/card_东营石油工程设计院2025.json\", \"w\",encoding = 'utf-8') as file:\n", " file.write(json_data) \n", "print('ok')" ] 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 7c6ba52..d5a0a15 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 @@ -2104,9 +2104,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "6f9768ce-2ef5-4253-9fc6-49dbdcf00a19", - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2025-06-05T07:00:45.640632Z", + "iopub.status.busy": "2025-06-05T07:00:45.640094Z", + "iopub.status.idle": "2025-06-05T07:00:45.650567Z", + "shell.execute_reply": "2025-06-05T07:00:45.649389Z", + "shell.execute_reply.started": "2025-06-05T07:00:45.640569Z" + } + }, "outputs": [], "source": [ "import json\n", @@ -2235,16 +2243,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "1acaf159-637e-4101-9881-f6bb79400136", "metadata": { + "execution": { + "iopub.execute_input": "2025-06-05T07:01:23.261374Z", + "iopub.status.busy": "2025-06-05T07:01:23.260702Z", + "iopub.status.idle": "2025-06-05T07:01:23.288993Z", + "shell.execute_reply": "2025-06-05T07:01:23.288447Z", + "shell.execute_reply.started": "2025-06-05T07:01:23.261310Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[['1', '气虚', False, 40, 59, 35, 37, 50, 25, 28, 53, 14], ['2', '平和', False, 71, 6, 17, 28, 18, 8, 10, 0, 21], ['3', '气虚', True, 81, 37, 0, 31, 18, 8, 7, 21, 0], ['4', '痰湿', False, 50, 50, 7, 34, 62, 50, 60, 28, 17], ['5', '湿热', False, 71, 21, 14, 18, 21, 58, 7, 14, 3], ['8', '血瘀', True, 78, 28, 10, 28, 18, 25, 39, 21, 7], ['10', '特禀', False, 81, 18, 7, 18, 15, 20, 25, 21, 42], ['11', '湿热', False, 50, 40, 42, 46, 46, 62, 17, 35, 42], ['12', '平和', False, 68, 28, 25, 28, 25, 20, 17, 21, 3], ['13', '阳虚', False, 71, 31, 42, 34, 31, 20, 25, 21, 35], ['15', '湿热', False, 68, 18, 32, 28, 25, 50, 32, 14, 0], ['16', '阳虚', False, 59, 46, 53, 34, 21, 12, 32, 28, 35], ['17', '血瘀', False, 53, 50, 25, 43, 53, 45, 57, 53, 28], ['18', '平和', False, 78, 18, 10, 25, 15, 29, 10, 3, 17], ['19', '阳虚', False, 81, 18, 53, 21, 21, 20, 32, 14, 35], ['21', '阴虚', True, 84, 25, 17, 31, 15, 0, 28, 28, 21], ['23', '阴虚', False, 68, 25, 3, 43, 34, 41, 42, 28, 10], ['27', '痰湿', False, 87, 15, 10, 28, 40, 29, 14, 14, 14], ['29', '阳虚', False, 34, 65, 82, 25, 31, 16, 71, 53, 21], ['30', '平和', False, 78, 18, 17, 3, 15, 4, 21, 14, 17], ['35', '湿热', False, 53, 46, 25, 34, 46, 66, 35, 28, 25], ['36', '阴虚', True, 65, 31, 32, 37, 15, 12, 21, 3, 25], ['37', '阴虚', False, 68, 34, 28, 50, 34, 45, 25, 25, 17], ['39', '阳虚', True, 68, 34, 35, 21, 18, 8, 3, 25, 7], ['40', '阴虚', False, 68, 34, 25, 46, 34, 41, 28, 21, 14], ['43', '湿热', False, 65, 31, 7, 15, 34, 54, 17, 28, 28], ['45', '特禀', True, 68, 9, 32, 34, 18, 25, 21, 10, 35], ['46', '痰湿', False, 43, 56, 71, 59, 75, 66, 50, 67, 64], ['49', '湿热', False, 62, 37, 46, 21, 31, 50, 39, 28, 25], ['51', '痰湿', False, 62, 43, 25, 31, 56, 50, 28, 28, 21], ['52', '气虚', True, 68, 34, 32, 25, 18, 12, 25, 25, 7], ['53', '气郁', False, 59, 46, 32, 50, 40, 41, 46, 53, 28], ['55', '平和', False, 90, 9, 0, 3, 0, 0, 3, 0, 0], ['56', '阳虚', True, 75, 21, 35, 18, 21, 16, 10, 7, 14], ['58', '平和', False, 90, 15, 3, 18, 21, 20, 0, 7, 14], ['61', '阴虚', True, 75, 28, 14, 31, 25, 25, 25, 25, 14], ['62', '气虚', False, 50, 68, 50, 56, 59, 54, 50, 50, 14], ['66', '阳虚', False, 53, 37, 67, 43, 34, 29, 32, 35, 42], ['67', '平和', False, 71, 6, 14, 12, 6, 25, 10, 14, 0], ['68', '阳虚', False, 46, 46, 75, 37, 59, 50, 60, 50, 53], ['69', '阴虚', False, 53, 40, 46, 50, 31, 33, 17, 46, 42], ['71', '气郁', False, 53, 50, 53, 43, 53, 54, 32, 64, 25], ['72', '湿热', False, 62, 18, 17, 31, 37, 45, 17, 32, 14], ['74', '阳虚', False, 43, 59, 78, 40, 65, 41, 39, 78, 67], ['75', '气郁', False, 40, 56, 42, 28, 53, 45, 53, 67, 21], ['76', '阳虚', False, 40, 50, 75, 37, 34, 33, 35, 50, 21], ['77', '阳虚', False, 28, 68, 85, 84, 75, 75, 78, 64, 46], ['78', '湿热', False, 43, 43, 14, 46, 50, 70, 39, 60, 39], ['20', '湿热', False, 68, 37, 35, 34, 46, 66, 39, 17, 10], ['31', '阳虚', False, 59, 40, 50, 40, 31, 12, 32, 7, 17], ['33', '湿热', False, 50, 40, 21, 50, 56, 58, 53, 53, 53], ['54', '痰湿', False, 65, 40, 28, 46, 59, 41, 28, 35, 14], ['34', '阳虚', False, 65, 34, 50, 21, 37, 25, 35, 3, 3]]\n", + "ok\n" + ] + } + ], "source": [ "import openpyxl\n", "\n", - "filename = 'data/result_北海炼化2024.json'\n", + "filename = 'data/result_党建出版社2025-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "i = 1\n", @@ -2270,7 +2294,7 @@ " list3.append(item)\n", " list2.append(list3)\n", "print(list2)\n", - "filename = 'data/北海炼化中医情况明细表2024.xlsx'\n", + "filename = 'data/党建出版社中医情况明细表2024.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "\n", @@ -2436,10 +2460,128 @@ "print('ok') " ] }, + { + "cell_type": "markdown", + "id": "5fcd0a68-b6c7-4456-9ae7-7bbc4daecc99", + "metadata": {}, + "source": [ + "## 导出体质监测情况表" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "9ecd3ad8-c8af-4f3e-90e5-1618fea905a4", + "metadata": { + "execution": { + "iopub.execute_input": "2025-06-05T07:11:15.798769Z", + "iopub.status.busy": "2025-06-05T07:11:15.797324Z", + "iopub.status.idle": "2025-06-05T07:11:15.845006Z", + "shell.execute_reply": "2025-06-05T07:11:15.844504Z", + "shell.execute_reply.started": "2025-06-05T07:11:15.798674Z" + } + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", + "filename = 'data/result_党建出版社2025-1.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", + " \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", + " if 'psy' in v.keys():\n", + " psy=v['psy']\n", + " for i in range(26,40):\n", + " new_valve = psy[i]-1\n", + " psy[i] = new_valve\n", + " dict3 = {}\n", + " \n", + " i = 0\n", + " for item in qb:\n", + " dict3.setdefault(item,0)\n", + " dict3[item] +=psy[i]\n", + " i+=1\n", + " \n", + " for i in range(0,6):\n", + " score = int(dict3[i+1]/list3[i][0]/list3[i][1]*100)\n", + " list6.append(score)\n", + " else:\n", + " for i in range(0,6):\n", + " list6.append('')\n", + " i+=1\n", + " if 'spine' in v.keys():\n", + " spine = v['spine']\n", + " for i in range(0,4):\n", + " score = 0\n", + " for ii in range(list5[i][0],list5[i][1]):\n", + " score+= spine[ii]\n", + " list6.append(int(score/list5[i][2]*100)-100)\n", + " else:\n", + " for i in range(0,4):\n", + " list6.append('')\n", + " i+=1\n", + " data_list.append(list6)\n", + "filename = 'data/党建出版社测试情况表2025.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "#sheet.append(title)\n", + "for row in data_list:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename) " + ] + }, { "cell_type": "code", "execution_count": null, - "id": "1fcca066-04a7-41c1-8c5e-aea251b87250", + "id": "200d10a8-15a7-4ec9-b407-ffb06c0e19be", "metadata": {}, "outputs": [], "source": [] diff --git a/体测单位/党建出版社.ipynb b/体测单位/党建出版社.ipynb index 784aefc..ffce2e6 100644 --- a/体测单位/党建出版社.ipynb +++ b/体测单位/党建出版社.ipynb @@ -10,27 +10,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "bbba6efc-73cd-4db6-bae7-014724fee731", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-26T12:30:54.402556Z", - "iopub.status.busy": "2023-11-26T12:30:54.402097Z", - "iopub.status.idle": "2023-11-26T12:30:54.454920Z", - "shell.execute_reply": "2023-11-26T12:30:54.453841Z", - "shell.execute_reply.started": "2023-11-26T12:30:54.402519Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "outputs": [], "source": [ "import openpyxl\n", "import json\n", @@ -59,26 +44,10 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "9448933d-527c-410d-ba55-4ce1819a8c1e", - "metadata": { - "execution": { - "iopub.execute_input": "2025-05-28T01:56:09.248016Z", - "iopub.status.busy": "2025-05-28T01:56:09.247344Z", - "iopub.status.idle": "2025-05-28T01:56:09.438873Z", - "shell.execute_reply": "2025-05-28T01:56:09.438386Z", - "shell.execute_reply.started": "2025-05-28T01:56:09.247957Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import openpyxl\n", "import json\n", @@ -113,27 +82,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f", "metadata": { - "execution": { - "iopub.execute_input": "2025-05-28T01:57:01.051560Z", - "iopub.status.busy": "2025-05-28T01:57:01.050181Z", - "iopub.status.idle": "2025-05-28T01:57:01.063491Z", - "shell.execute_reply": "2025-05-28T01:57:01.062383Z", - "shell.execute_reply.started": "2025-05-28T01:57:01.051490Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "\n", @@ -166,27 +120,12 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "970e171e-1360-448f-a28c-520ccb8f314a", "metadata": { - "execution": { - "iopub.execute_input": "2025-05-30T06:04:13.081538Z", - "iopub.status.busy": "2025-05-30T06:04:13.080855Z", - "iopub.status.idle": "2025-05-30T06:04:13.108682Z", - "shell.execute_reply": "2025-05-30T06:04:13.107978Z", - "shell.execute_reply.started": "2025-05-30T06:04:13.081474Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "60\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import datetime\n", @@ -216,27 +155,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "def3f47a-24ef-4815-b63b-2a16b79b4c15", "metadata": { - "execution": { - "iopub.execute_input": "2025-05-30T06:06:04.468199Z", - "iopub.status.busy": "2025-05-30T06:06:04.467495Z", - "iopub.status.idle": "2025-05-30T06:06:04.482491Z", - "shell.execute_reply": "2025-05-30T06:06:04.481540Z", - "shell.execute_reply.started": "2025-05-30T06:06:04.468131Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok!\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import time\n", @@ -283,17 +207,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "67e63f07-3f20-4e0e-9c07-7bf6024eeb4b", - "metadata": { - "execution": { - "iopub.execute_input": "2025-05-30T06:07:24.191486Z", - "iopub.status.busy": "2025-05-30T06:07:24.190813Z", - "iopub.status.idle": "2025-05-30T06:07:24.386100Z", - "shell.execute_reply": "2025-05-30T06:07:24.385612Z", - "shell.execute_reply.started": "2025-05-30T06:07:24.191424Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "import json\n", @@ -344,10 +260,409 @@ "wb.save(filename)" ] }, + { + "cell_type": "markdown", + "id": "b1c9377b-0da3-481a-9334-b85aa0487374", + "metadata": {}, + "source": [ + "## 导入问卷信息" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "e454f645-e593-4619-9fce-eabe0fa9f2a9", + "metadata": { + "execution": { + "iopub.execute_input": "2025-06-05T06:49:32.523392Z", + "iopub.status.busy": "2025-06-05T06:49:32.522703Z", + "iopub.status.idle": "2025-06-05T06:49:32.550951Z", + "shell.execute_reply": "2025-06-05T06:49:32.550460Z", + "shell.execute_reply.started": "2025-06-05T06:49:32.523324Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "#import my_module as My\n", + "\n", + "dict1 = {}\n", + "filename = 'data/result_党建出版社2025.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "filename = 'data/党建出版社2025.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[str(v['phone'])] = k\n", + "\n", + "list1 = []\n", + "filename = 'data/survey_records_20250605.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", + "psy =[]\n", + "tcm = []\n", + "spine = []\n", + "for i in range(0,57):\n", + " psy.append(0)\n", + "\n", + "for i in range(0,60):\n", + " tcm.append(0)\n", + "for i in range(0,26):\n", + " spine.append(0)\n", + "i= 1\n", + "for item in list1:\n", + " if item[3] in phone.keys():\n", + " psy =[]\n", + " tcm = []\n", + " spine = []\n", + " for i in range(0,57):\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[4])\n", + " if phone[item[3]] not in dict1.keys():\n", + " dict1[phone[item[3]]] = dict3[phone[item[3]]]\n", + " rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n", + " #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n", + " else:\n", + " rq = date.fromisoformat('2025-05-30')\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", + " spine[i-1] = int(v)\n", + " if 'psy' in item[4]:\n", + " #for i in range(5,26):\n", + " # new_valve = 5-psy[i]\n", + " # psy[i] = new_valve\n", + " \n", + " \n", + " dict1[phone[item[3]]]['psy57'] = psy\n", + " if 'tcm' in item[4]:\n", + " dict1[phone[item[3]]]['tcm'] = tcm\n", + " if 'spine' in item[4]:\n", + " dict1[phone[item[3]]]['spine'] = spine\n", + " birth = date.fromisoformat(dict3[phone[item[3]]]['birth'].replace('/','-'))\n", + " \n", + " days = (rq-birth).days \n", + " dict1[phone[item[3]]]['age'] = int(days/365)\n", + " dict1[phone[item[3]]]['month'] = int(days/365*12)\n", + " \n", + "\n", + "filename = 'data/result_党建出版社2025-1.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False)\n", + "#print(data1[1])" + ] + }, + { + "cell_type": "markdown", + "id": "41a8ef94-57a1-4697-b99b-cb546adb09e5", + "metadata": {}, + "source": [ + "## 统计参加问卷人员" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "2ea13ff2-a675-41b2-b104-0f5cd1c9a0b5", + "metadata": { + "execution": { + "iopub.execute_input": "2025-06-05T01:06:25.708014Z", + "iopub.status.busy": "2025-06-05T01:06:25.707173Z", + "iopub.status.idle": "2025-06-05T01:06:25.734176Z", + "shell.execute_reply": "2025-06-05T01:06:25.733170Z", + "shell.execute_reply.started": "2025-06-05T01:06:25.707934Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "85\n" + ] + } + ], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "filename = 'data/党建出版社2025.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "phone1 = set()\n", + "phone2 = set()\n", + "for k,v in dict1.items():\n", + " phone1.add(v['phone'])\n", + "list1 = []\n", + "filename = 'data/survey_records_20250605.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 = int(item[3])\n", + " for k, v in dict1.items():\n", + " list3 = []\n", + " if v['phone'] == code: \n", + " list3.append(k)\n", + " list3.append(v['name'])\n", + " list3.append(v['sex'])\n", + " list3.append(v['unit'])\n", + " list3.append(code)\n", + " list2.append(list3)\n", + "filename = 'data/党建出版社问卷情况表2025.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": "0db73bab-bd7b-4446-ab8e-432f918288b7", + "id": "7c2ef41d-bba9-4776-9a0e-71e14cd7d3fe", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "filename = 'data/党建出版社2025.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "phone1 = set()\n", + "phone2 = set()\n", + "for k,v in dict1.items():\n", + " phone1.add(v['phone'])\n", + "list1 = []\n", + "filename = 'data/survey_records_20250605.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 = int(item[3])\n", + " if code not in phone1:\n", + " print(code)" + ] + }, + { + "cell_type": "markdown", + "id": "ffb387e1-41b5-4a4d-a9ca-89e1c5650880", + "metadata": {}, + "source": [ + "## 生成报告" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "462bc4e8-1659-43a0-9cbf-a87a4dfc5376", + "metadata": { + "execution": { + "iopub.execute_input": "2025-06-05T06:50:13.169871Z", + "iopub.status.busy": "2025-06-05T06:50:13.168552Z", + "iopub.status.idle": "2025-06-05T06:50:51.648786Z", + "shell.execute_reply": "2025-06-05T06:50:51.647689Z", + "shell.execute_reply.started": "2025-06-05T06:50:13.169789Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "65\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_党建出版社2025-1.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "file_path ='./党建出版社2025/'\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'] = '党建读物出版社'\n", + " mydata['subtitle'] = ' '\n", + " mydata['id'] = id\n", + " mydata['name'] = v['name']\n", + " if v['sex'] == '男':\n", + " mydata['gender'] = 'male'\n", + " else:\n", + " mydata['gender'] = 'female'\n", + " \n", + " mydata['month'] = v['month']\n", + " mydata['fits'] = {}\n", + " survey_list = ['tcm','psy57','spine']\n", + " for item in survey_list:\n", + " if item in v.keys():\n", + " mydata.setdefault('surveys',{})\n", + " mydata['surveys'][item] = v[item]\n", + " \n", + " \n", + " #mydata['fits'] = {}\n", + " for item in list_item:\n", + " if item in v.keys():\n", + " mydata.setdefault('fits',{})\n", + " if item in ['lung','pushup','step','situp']:\n", + " mark = v[item]['成绩'].split()[0].split('.')[0]\n", + " else:\n", + " mark = v[item]['成绩'].split()[0]\n", + " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", + " if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", + " #if len(mydata['fits']) >2 : \n", + " list1.append(mydata)\n", + " list2.append([k,v['name']])\n", + " i+=1\n", + " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", + " #print(id,v['name'],x.text)\n", + " #print(mydata)\n", + " #x.close()\n", + "print(i)" + ] + }, + { + "cell_type": "markdown", + "id": "f28bb6dd-c8de-4761-a8a1-83b65a504a7d", + "metadata": {}, + "source": [ + "## 计算中医体质" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "0f393c7d-26b2-4bb2-8f18-702f5ee52abf", + "metadata": { + "execution": { + "iopub.execute_input": "2025-06-05T06:59:54.308502Z", + "iopub.status.busy": "2025-06-05T06:59:54.307891Z", + "iopub.status.idle": "2025-06-05T06:59:54.340029Z", + "shell.execute_reply": "2025-06-05T06:59:54.339248Z", + "shell.execute_reply.started": "2025-06-05T06:59:54.308441Z" + } + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'tcm_calc' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[24], line 15\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m item \u001b[38;5;129;01min\u001b[39;00m tcm:\n\u001b[1;32m 14\u001b[0m list1\u001b[38;5;241m.\u001b[39mappend(item)\n\u001b[0;32m---> 15\u001b[0m score \u001b[38;5;241m=\u001b[39m \u001b[43mtcm_calc\u001b[49m(list1)\n\u001b[1;32m 17\u001b[0m result \u001b[38;5;241m=\u001b[39m tcm_kind(score)\n\u001b[1;32m 18\u001b[0m kind \u001b[38;5;241m=\u001b[39m result[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mkind\u001b[39m\u001b[38;5;124m'\u001b[39m]\n", + "\u001b[0;31mNameError\u001b[0m: name 'tcm_calc' is not defined" + ] + } + ], + "source": [ + "import openpyxl\n", + "import my_module as My\n", + "\n", + "filename = 'data/result_党建出版社2025-1.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "i = 1\n", + "list2 = []\n", + "for k, v in dict1.items():\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(i,k,kinds[kind], near, score)\n", + " #i+=1\n", + " list3 = []\n", + " list3.append(k)\n", + " list3.append(kinds[kind])\n", + " list3.append(near)\n", + " for item in score:\n", + " list3.append(item)\n", + " list2.append(list3)\n", + "print(list2)\n", + "filename = 'data/党建出版社中医情况明细表2025.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "\n", + "for row in list2:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)\n", + "print('ok') " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "02057c2d-f2e5-4c09-8c2d-508bedb95817", "metadata": {}, "outputs": [], "source": []