From 61fd17380488bf308ea161e68c8f75bb053bead1 Mon Sep 17 00:00:00 2001 From: 512song Date: Wed, 18 Oct 2023 05:07:12 +0000 Subject: [PATCH] 20231018 --- 体测单位/体检报告分析.ipynb | 2 +- 体测单位/体质检测数据处理.ipynb | 445 +++++++++++++++++++++++++++----- 体测单位/北京党校.ipynb | 179 +++++++++---- 体测单位/安庆石化.ipynb | 239 ++++++++++++++++- 4 files changed, 744 insertions(+), 121 deletions(-) diff --git a/体测单位/体检报告分析.ipynb b/体测单位/体检报告分析.ipynb index 201640f..775122e 100644 --- a/体测单位/体检报告分析.ipynb +++ b/体测单位/体检报告分析.ipynb @@ -372,7 +372,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.6" + "version": "3.10.12" } }, "nbformat": 4, 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 ff199a1..e616a83 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 @@ -168,29 +168,12 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "f32b266a-7e46-4703-ab61-7cbbc81b5ab1", "metadata": { - "execution": { - "iopub.execute_input": "2023-06-09T03:17:48.044584Z", - "iopub.status.busy": "2023-06-09T03:17:48.044175Z", - "iopub.status.idle": "2023-06-09T03:17:48.054183Z", - "shell.execute_reply": "2023-06-09T03:17:48.053116Z", - "shell.execute_reply.started": "2023-06-09T03:17:48.044557Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[41.3, 46.2, 52.3, 58.8, 68.2]\n", - "46.2\n", - "1\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import time\n", @@ -232,29 +215,12 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "b32fbbdd-eb0a-4f0d-8901-e39a727c3ff8", "metadata": { - "execution": { - "iopub.execute_input": "2023-06-09T03:07:07.558861Z", - "iopub.status.busy": "2023-06-09T03:07:07.557966Z", - "iopub.status.idle": "2023-06-09T03:07:07.572751Z", - "shell.execute_reply": "2023-06-09T03:07:07.571714Z", - "shell.execute_reply.started": "2023-06-09T03:07:07.558820Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "M30~39\n", - "177.7,97.0\n", - "1\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import time\n", @@ -290,6 +256,372 @@ "print(score)" ] }, + { + "cell_type": "markdown", + "id": "7fe0ffe8-c3d1-4843-9765-87d4a12b7c39", + "metadata": {}, + "source": [ + "## 体测报告生成" + ] + }, + { + "cell_type": "markdown", + "id": "9fec0bfc-8a97-446f-95fe-6e9cf8e482d8", + "metadata": {}, + "source": [ + "### 转换报告格式" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e614f4a-a623-48e2-97f8-b31f62c9a983", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import datetime\n", + "import csv\n", + "from datetime import date\n", + "\n", + "filename = '../item.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for k,v in dict1.items():\n", + " item[k] = v\n", + "item['1']['en'] = 'lung'\n", + "item['2']['en'] = 'grip'\n", + "item['3']['en'] = 'flexion'\n", + "item['4']['en'] = 'jump'\n", + "item['5']['en'] = 'pushup'\n", + "item['6']['en'] = 'balance'\n", + "item['7']['en'] = 'reaction'\n", + "item['8']['en'] = 'step'\n", + "item['9']['en'] = 'situp'\n", + "item['10']['en'] = 'height'\n", + "item['11']['en'] = 'weight'\n", + "\n", + "\n", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/北京党校.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/places_result_20231018.csv'\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", + " list1.append(line)\n", + "#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n", + "#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + "for result in list1:\n", + " user = str(result[2])\n", + " rq = date.fromisoformat(result[6].replace('/','-'))\n", + " if user in dict1.keys():\n", + " l_xm = []\n", + " m_item = str(result[3]) \n", + " re_ta.setdefault(user,{}) \n", + " re_ta[user]['name'] = dict1[user]['name']\n", + " re_ta[user]['sex'] = dict1[user]['sex']\n", + " if dict1[user]['sex'] == '男':\n", + " l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + " else:\n", + " l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n", + " re_ta[user]['unit'] = dict1[user]['unit']\n", + " birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n", + " #nian = int(birth[0].strip())\n", + " #yue = int(birth[1].strip())\n", + " #ri = int(birth[2].strip())\n", + " #print(k,nian,yue,ri)\n", + " item_name = item[m_item]['en'] \n", + " if item_name in l_xm: \n", + " days = (rq-birth).days \n", + " re_ta[user]['age'] = int(days/365)\n", + " re_ta[user]['month'] = int(days/365*12)\n", + " re_ta[user]['rq'] = result[6]\n", + "\n", + "\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[4])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + "print(len(re_ta))\n", + "filename = 'data/result_北京党校.json'\n", + "\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": "6741916c-deb6-496f-bc8f-5248e107e0e9", + "metadata": {}, + "source": [ + "### 生成完善得分" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "141b30dc-5975-4dcb-9bc3-9b20d26a0917", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import time\n", + "\n", + "filename = '../item.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict3 = json.load(fl) \n", + "for k,v in dict3.items():\n", + " item[k] = v\n", + "item['1']['en'] = 'lung'\n", + "item['2']['en'] = 'grip'\n", + "item['3']['en'] = 'flexion'\n", + "item['4']['en'] = 'jump'\n", + "item['5']['en'] = 'pushup'\n", + "item['6']['en'] = 'balance'\n", + "item['7']['en'] = 'reaction'\n", + "item['8']['en'] = 'step'\n", + "item['9']['en'] = 'situp'\n", + "item['10']['en'] = 'height'\n", + "item['11']['en'] = 'weight'\n", + "\n", + "filename = 'data/体质检测标准 (1).json' \n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "\n", + "\n", + "def cal_score(data1):\n", + " #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n", + " person = dict1['person']\n", + " criteria = dict1['criteria']\n", + " if data1['age'] >59:\n", + " data1['age'] = 59\n", + " if data1['age'] <20:\n", + " data1['age'] = 20\n", + " info = data1['sex']+str(data1['age'])\n", + " bz = person[info]\n", + " mx = criteria[bz][data1['item']]\n", + " result = data1['result'] \n", + " if data1['item'] == 'reaction':\n", + " for bz1 in mx:\n", + " if result > bz1:\n", + " #print(bz1)\n", + " score = mx.index(bz1,0)\n", + " break\n", + " else:\n", + " score = 5\n", + " else:\n", + " for bz1 in mx:\n", + " if result < bz1:\n", + " #print(bz1)\n", + " score = mx.index(bz1,0)\n", + " break\n", + " else:\n", + " score = 5\n", + " return(score)\n", + "filename = 'data/体质检测标准_BMI.json'\n", + "with open(filename,'r') as fl:\n", + " dict4 = json.load(fl) \n", + " \n", + "def cal_bmi(data1):\n", + " # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n", + " person = dict4['person']\n", + " criteria = dict4['criteria']\n", + " if data1['age'] > 59:\n", + " data1['age'] = 59\n", + " if data1['age'] <20:\n", + " data1['age'] = 20\n", + " info = data1['sex']+str(data1['age'])\n", + " bz = person[info]\n", + " #print(bz)\n", + " result = data1['result']\n", + " #print(data1['code'],result)\n", + " height = int(float(result.split(',')[0]))\n", + " weight = float(result.split(',')[1])\n", + " if str(height) not in criteria[bz]:\n", + " score = 1\n", + " else: \n", + " mx = criteria[bz][str(height)]\n", + " if weight < mx[0]:\n", + " score = 1\n", + " elif weight < mx[1]:\n", + " score = 3\n", + " elif weight < mx[2]:\n", + " score = 5 \n", + " elif weight <= mx[3]:\n", + " score = 3 \n", + " elif weight > mx[3]:\n", + " score = 1\n", + " return score\n", + " \n", + " \n", + "\n", + "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", + "filename = 'data/result_北京党校.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl) \n", + "for k, v in dict2.items():\n", + " #print(k)\n", + " if v['sex'] == '男':\n", + " sex = 'M'\n", + " else:\n", + " sex = 'F' \n", + " if 'height' in v.keys() and 'weight' in v.keys():\n", + " bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n", + " data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n", + " dict2[k]['bmi'] = {}\n", + " dict2[k]['bmi']['成绩'] = bmi_data\n", + " dict2[k]['bmi']['score'] = cal_bmi(data1)\n", + " for item_en in list_item:\n", + " if item_en in v.keys(): \n", + " data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n", + " dict2[k][item_en]['score'] = cal_score(data1)\n", + " #print(k,v[item_en]['成绩'],cal_score(data1))\n", + "\n", + "filename = f'data/result_北京党校.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "markdown", + "id": "cf8f168e-4161-4fbb-bf5f-f9d1cb9bbb6f", + "metadata": {}, + "source": [ + "### 生成报告清单" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f20224aa-2131-473d-a0ec-0743482ed58e", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-18T04:07:20.752069Z", + "iopub.status.busy": "2023-10-18T04:07:20.751766Z", + "iopub.status.idle": "2023-10-18T04:07:20.842528Z", + "shell.execute_reply": "2023-10-18T04:07:20.841931Z", + "shell.execute_reply.started": "2023-10-18T04:07:20.752043Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok!\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/result_天津231017.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "dict2 = {}\n", + "list2 = []\n", + "i= 1\n", + "p= 1\n", + "for k, v in dict1.items():\n", + " list2.append(k)\n", + " i+=1\n", + " if i>200:\n", + " dict2[p] = list2\n", + " p+=1\n", + " i = 1\n", + " list2 = []\n", + "dict2[p] = list2\n", + "filename = f'报告清单.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "markdown", + "id": "ceef0742-f62a-4a7d-b0d5-be7ae7abb741", + "metadata": {}, + "source": [ + "### 生成报告" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b123ee6b-85d2-4660-b226-321832a6b796", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import requests\n", + "import json\n", + "\n", + "\n", + "\n", + "headers = {\n", + " \"Content-Type\": \"application/json; charset=UTF-8\"\n", + " }\n", + "filename = 'data/result_天津231017.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "fiie_path ='./134/'\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", + "i=1\n", + "list2 = []\n", + "for k, v in dict1.items():\n", + " list1 = []\n", + " mydata = {}\n", + " \n", + " id = str(k).rjust(8,\"0\")\n", + " mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n", + " mydata['title'] = '中石化(天津)石油化工\\n有限公司'\n", + " mydata['subtitle'] = v['unit']\n", + " mydata['id'] = id\n", + " mydata['name'] = v['name']\n", + " if v['sex'] == '男':\n", + " mydata['gender'] = 'male'\n", + " else:\n", + " mydata['gender'] = 'female'\n", + " \n", + " mydata['month'] = v['month']\n", + " mydata['fits'] = {}\n", + " for item in list_item:\n", + " if item in v.keys():\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: \n", + " list1.append(mydata)\n", + " list2.append([k,v['name']])\n", + " i+=1\n", + " x = requests.post('http://192.168.1.148:3003', data = json.dumps(list1), headers=headers)\n", + " print(id,v['name'],x.text)\n", + " #x.close()\n" + ] + }, { "cell_type": "markdown", "id": "732161bb-98f2-4861-ab66-7a374678bcd8", @@ -895,16 +1227,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "cf345bf0-f11b-459e-9b69-b2843836f6f3", "metadata": { - "execution": { - "iopub.execute_input": "2023-08-29T13:51:03.280856Z", - "iopub.status.busy": "2023-08-29T13:51:03.280394Z", - "iopub.status.idle": "2023-08-29T13:51:03.399330Z", - "shell.execute_reply": "2023-08-29T13:51:03.398909Z", - "shell.execute_reply.started": "2023-08-29T13:51:03.280807Z" - }, "tags": [] }, "outputs": [], @@ -930,16 +1255,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "1acaf159-637e-4101-9881-f6bb79400136", "metadata": { - "execution": { - "iopub.execute_input": "2023-05-19T09:08:35.287714Z", - "iopub.status.busy": "2023-05-19T09:08:35.286693Z", - "iopub.status.idle": "2023-05-19T09:08:35.304177Z", - "shell.execute_reply": "2023-05-19T09:08:35.303461Z", - "shell.execute_reply.started": "2023-05-19T09:08:35.287667Z" - }, "tags": [] }, "outputs": [], @@ -957,27 +1275,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "ad3078ac-ae53-4bb4-95bd-387631092bf1", "metadata": { - "execution": { - "iopub.execute_input": "2023-05-20T04:06:02.667541Z", - "iopub.status.busy": "2023-05-20T04:06:02.667013Z", - "iopub.status.idle": "2023-05-20T04:06:02.681377Z", - "shell.execute_reply": "2023-05-20T04:06:02.680428Z", - "shell.execute_reply.started": "2023-05-20T04:06:02.667502Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'_id': ObjectId('64673c9319e8481e9c0ad1a3'), 'place': '714309', 'code': '4', 'name': '朱维'}\n" - ] - } - ], + "outputs": [], "source": [ "import pymongo\n", "\n", diff --git a/体测单位/北京党校.ipynb b/体测单位/北京党校.ipynb index 04da2bc..5613a16 100644 --- a/体测单位/北京党校.ipynb +++ b/体测单位/北京党校.ipynb @@ -10,26 +10,12 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "bbba6efc-73cd-4db6-bae7-014724fee731", "metadata": { - "execution": { - "iopub.execute_input": "2023-10-14T10:59:21.792059Z", - "iopub.status.busy": "2023-10-14T10:59:21.791573Z", - "iopub.status.idle": "2023-10-14T10:59:21.924403Z", - "shell.execute_reply": "2023-10-14T10:59:21.923914Z", - "shell.execute_reply.started": "2023-10-14T10:59:21.792012Z" - } + "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "outputs": [], "source": [ "import openpyxl\n", "import json\n", @@ -65,27 +51,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f", "metadata": { - "execution": { - "iopub.execute_input": "2023-10-14T11:00:39.153235Z", - "iopub.status.busy": "2023-10-14T11:00:39.152837Z", - "iopub.status.idle": "2023-10-14T11:00:39.160327Z", - "shell.execute_reply": "2023-10-14T11:00:39.159338Z", - "shell.execute_reply.started": "2023-10-14T11:00:39.153204Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "\n", @@ -110,23 +81,23 @@ }, { "cell_type": "markdown", - "id": "699c6a40-a6ae-4300-9646-708cb85aa5e8", + "id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f", "metadata": {}, "source": [ - "## 手工数据导入数据库" + "## 获取人员测试成绩" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "def3f47a-24ef-4815-b63b-2a16b79b4c15", + "execution_count": 7, + "id": "970e171e-1360-448f-a28c-520ccb8f314a", "metadata": { "execution": { - "iopub.execute_input": "2023-10-15T06:15:31.143651Z", - "iopub.status.busy": "2023-10-15T06:15:31.143188Z", - "iopub.status.idle": "2023-10-15T06:15:31.160440Z", - "shell.execute_reply": "2023-10-15T06:15:31.159756Z", - "shell.execute_reply.started": "2023-10-15T06:15:31.143614Z" + "iopub.execute_input": "2023-10-18T02:17:23.733390Z", + "iopub.status.busy": "2023-10-18T02:17:23.733131Z", + "iopub.status.idle": "2023-10-18T02:17:23.758353Z", + "shell.execute_reply": "2023-10-18T02:17:23.757550Z", + "shell.execute_reply.started": "2023-10-18T02:17:23.733366Z" }, "tags": [] }, @@ -135,10 +106,130 @@ "name": "stdout", "output_type": "stream", "text": [ - "[(496534, 6, 5, 32, '2023-10-15', '2023-10-15 14:00:00'), (496534, 39, 5, 12, '2023-10-15', '2023-10-15 14:00:00'), (496534, 105, 5, 22, '2023-10-15', '2023-10-15 14:00:00'), (496534, 136, 5, 20, '2023-10-15', '2023-10-15 14:00:00'), (496534, 110, 5, 53, '2023-10-15', '2023-10-15 14:00:00'), (496534, 144, 5, 11, '2023-10-15', '2023-10-15 14:00:00'), (496534, 87, 5, 45, '2023-10-15', '2023-10-15 14:00:00'), (496534, 71, 5, 22, '2023-10-15', '2023-10-15 14:00:00'), (496534, 153, 5, 16, '2023-10-15', '2023-10-15 14:00:00'), (496534, 158, 5, 23, '2023-10-15', '2023-10-15 14:00:00'), (496534, 150, 5, 28, '2023-10-15', '2023-10-15 14:00:00'), (496534, 140, 5, 16, '2023-10-15', '2023-10-15 14:00:00'), (496534, 138, 5, 35, '2023-10-15', '2023-10-15 14:00:00'), (496534, 137, 5, 30, '2023-10-15', '2023-10-15 14:00:00'), (496534, 377, 5, 59, '2023-10-15', '2023-10-15 14:00:00'), (496534, 131, 5, 55, '2023-10-15', '2023-10-15 14:00:00'), (496534, 76, 5, 52, '2023-10-15', '2023-10-15 14:00:00'), (496534, 14, 5, 25, '2023-10-15', '2023-10-15 14:00:00'), (496534, 88, 5, 29, '2023-10-15', '2023-10-15 14:00:00'), (496534, 115, 5, 30, '2023-10-15', '2023-10-15 14:00:00'), (496534, 78, 5, 57, '2023-10-15', '2023-10-15 14:00:00'), (496534, 103, 5, 67, '2023-10-15', '2023-10-15 14:00:00'), (496534, 148, 5, 10, '2023-10-15', '2023-10-15 14:00:00'), (496534, 54, 5, 57, '2023-10-15', '2023-10-15 14:00:00'), (496534, 35, 5, 21, '2023-10-15', '2023-10-15 14:00:00'), (496534, 42, 5, 39, '2023-10-15', '2023-10-15 14:00:00'), (496534, 45, 5, 50, '2023-10-15', '2023-10-15 14:00:00'), (496534, 95, 5, 36, '2023-10-15', '2023-10-15 14:00:00'), (496534, 122, 5, 51, '2023-10-15', '2023-10-15 14:00:00'), (496534, 74, 5, 27, '2023-10-15', '2023-10-15 14:00:00'), (496534, 63, 5, 62, '2023-10-15', '2023-10-15 14:00:00'), (496534, 100, 5, 20, '2023-10-15', '2023-10-15 14:00:00'), (496534, 162, 5, 30, '2023-10-15', '2023-10-15 14:00:00'), (496534, 43, 5, 50, '2023-10-15', '2023-10-15 14:00:00'), (496534, 149, 5, 49, '2023-10-15', '2023-10-15 14:00:00'), (496534, 127, 5, 16, '2023-10-15', '2023-10-15 14:00:00'), (496534, 62, 5, 21, '2023-10-15', '2023-10-15 14:00:00'), (496534, 40, 5, 10, '2023-10-15', '2023-10-15 14:00:00'), (496534, 53, 5, 24, '2023-10-15', '2023-10-15 14:00:00')]\n" + "141\n", + "141\n" ] } ], + "source": [ + "import json\n", + "import time\n", + "import csv\n", + "\n", + "filename = '../item.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for k,v in dict1.items():\n", + " item[k] = v\n", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/北京党校.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/places_result_20231018.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", + "#print(list1)\n", + "for result in list1:\n", + " user = str(result[2])\n", + " if user in dict1.keys(): \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]['unit'] = dict1[user]['unit']\n", + " item_name = item[m_item]['name']\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[4])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + "print(len(re_ta))\n", + "filename = 'data/result_北京党校.json'\n", + "\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": "d034a61d-1fbd-417b-99bd-277e43ebb678", + "metadata": {}, + "source": [ + "## 导出测试人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "items = ['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", + "title = ['编号','姓名','性别','单位','部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", + "\n", + "filename = 'data/result_北京党校.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/北京党校.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + " \n", + "list1 = []\n", + "for k, v in dict1.items():\n", + " list2 = []\n", + " list2.append(str(k).rjust(5,'0'))\n", + " list2.append(v['name']) \n", + " list2.append(dict2[k]['sex'])\n", + " list2.append(dict2[k]['unit'])\n", + " for item in items:\n", + " if item in v.keys():\n", + " list2.append(v[item]['成绩']) \n", + " elif item =='name':\n", + " list2.append(v[item])\n", + " else:\n", + " list2.append('') \n", + " list1.append(list2)\n", + "filename = 'data/北京党校.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, + { + "cell_type": "markdown", + "id": "699c6a40-a6ae-4300-9646-708cb85aa5e8", + "metadata": {}, + "source": [ + "## 手工数据导入数据库" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "def3f47a-24ef-4815-b63b-2a16b79b4c15", + "metadata": { + "tags": [] + }, + "outputs": [], "source": [ "import openpyxl\n", "import json\n", diff --git a/体测单位/安庆石化.ipynb b/体测单位/安庆石化.ipynb index 5af45f4..9389df6 100644 --- a/体测单位/安庆石化.ipynb +++ b/体测单位/安庆石化.ipynb @@ -3,7 +3,9 @@ { "cell_type": "markdown", "id": "bfa33ac5-8fe9-4845-8b1d-56c509afcb83", - "metadata": {}, + "metadata": { + "tags": [] + }, "source": [ "## 体质检测管理" ] @@ -786,7 +788,9 @@ { "cell_type": "markdown", "id": "f623d291-8d66-4246-a34f-a051115596ef", - "metadata": {}, + "metadata": { + "tags": [] + }, "source": [ "## 体检报告数据管理" ] @@ -1171,10 +1175,235 @@ "print(len(dict1))" ] }, + { + "cell_type": "markdown", + "id": "fbb13d70-6601-4421-8deb-26e717c37a8c", + "metadata": {}, + "source": [ + "## 体质问卷管理" + ] + }, + { + "cell_type": "markdown", + "id": "7e0fe102-69d4-425c-bc1f-9a26cc974d9d", + "metadata": {}, + "source": [ + "### 问卷人员导入" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "714d4a20-9ca0-4439-880b-f68de8c0e2fb", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-18T04:28:34.758506Z", + "iopub.status.busy": "2023-10-18T04:28:34.757933Z", + "iopub.status.idle": "2023-10-18T04:28:34.828585Z", + "shell.execute_reply": "2023-10-18T04:28:34.827501Z", + "shell.execute_reply.started": "2023-10-18T04:28:34.758452Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/职工健康提升项目志愿者报名表（汇总）.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(3, sheet.max_row+1):\n", + " code = int(sheet.cell(n, 1).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 4).value\n", + " dict1['sex'] = sheet.cell(n, 5).value\n", + " dict1['unit'] = sheet.cell(n, 2).value\n", + " dict1['job'] = sheet.cell(n, 3).value\n", + " dict1['age'] = int(sheet.cell(n, 6).value)\n", + " dict1['phone'] = str(sheet.cell(n,7).value)\n", + " dict1['note'] = sheet.cell(n,8).value\n", + " person[code] = dict1\n", + "filename = 'data/安庆职工健康提升志愿者.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "e8774dfb-d9f5-44af-a118-4a106ceac9fc", + "metadata": {}, + "source": [ + "### 导入问卷信息" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "dcdd18b3-d7b7-49b1-b148-c2ea9a7799ff", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-18T04:52:32.821254Z", + "iopub.status.busy": "2023-10-18T04:52:32.820749Z", + "iopub.status.idle": "2023-10-18T04:52:32.885978Z", + "shell.execute_reply": "2023-10-18T04:52:32.885231Z", + "shell.execute_reply.started": "2023-10-18T04:52:32.821208Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3\n" + ] + } + ], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "\n", + "filename = 'data/安庆职工健康提升志愿者.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "wj = {'psy_0556_sh':'心理问卷','tcm_0556_sh':'中医问卷','spine_0556_sh':'脊柱问卷'}\n", + "wj_dm = {'psy_0556_sh':0,'tcm_0556_sh':1,'spine_0556_sh':2}\n", + "list1 = []\n", + "re_ta = {}\n", + "filename = 'data/Survey_20231018.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", + "#print(list1)\n", + "for result in list1:\n", + " item = str(result[1])\n", + " re_ta.setdefault(item,[])\n", + " re_ta[item].append(result[2])\n", + "print(len(re_ta))\n", + "\n", + "tj = {}\n", + "for k ,v in dict1.items():\n", + " phone = v['phone']\n", + " tj.setdefault(k, [0,0,0])\n", + " for k1,v1 in re_ta.items():\n", + " if phone in v1:\n", + " tj[k][wj_dm[k1]] = 1\n", + "list1 = []\n", + "for k, v in tj.items():\n", + " list2 = []\n", + " list2.append(k)\n", + " list2.append(dict1[k]['name'])\n", + " list2.append(dict1[k]['phone'])\n", + " for item in v:\n", + " list2.append(item)\n", + " list1.append(list2)\n", + " \n", + "filename = 'data/安庆职工健康提升问卷情况表.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "title = ['编号','员工姓名','手机号码','心理','中医','脊柱']\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + "\n", + "\n", + "wb.save(filename) \n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "8bc929e2-38f1-4dbd-820e-65d92b59ab26", + "metadata": {}, + "source": [ + "### 导统计问卷新增手机号码" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "ea4fffc4-3c6e-4f85-819f-52f969e04dd7", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-18T05:02:18.718756Z", + "iopub.status.busy": "2023-10-18T05:02:18.717923Z", + "iopub.status.idle": "2023-10-18T05:02:18.745164Z", + "shell.execute_reply": "2023-10-18T05:02:18.743072Z", + "shell.execute_reply.started": "2023-10-18T05:02:18.718679Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "13865166211\n", + "15905566828\n", + "18055691637\n", + "13855602427\n", + "13966613066\n", + "18755696791\n", + "18055696268\n", + "15856585658\n", + "13966607917\n", + "13855640093\n", + "18155688687\n" + ] + } + ], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "\n", + "filename = 'data/安庆职工健康提升志愿者.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "phone = set()\n", + "phone1 = set()\n", + "for k,v in dict1.items():\n", + " phone.add(v['phone'])\n", + "\n", + "filename = 'data/Survey_20231018.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", + "#print(list1)\n", + "for result in list1:\n", + " if result[2] not in phone:\n", + " phone1.add(result[2])\n", + "for item in phone1:\n", + " print(item)" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "a7219084-9d0a-4027-9d51-5b6cc2f2ec9b", + "id": "37bf232e-7db1-40a8-b8d6-4a182f839848", "metadata": {}, "outputs": [], "source": [] @@ -1182,7 +1411,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1196,7 +1425,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.12" } }, "nbformat": 4,