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 c53424c..976ebbd 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 @@ -690,11 +690,11 @@ "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", - "filename = 'data/result_胜利采油厂1.json'\n", + "filename = 'data/result_镇海2025-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", - "file_path ='./胜利采油厂/'\n", + "file_path ='./镇海石化2025/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = []\n", @@ -702,9 +702,10 @@ " list1 = []\n", " mydata = {}\n", " \n", - " id = str(k).rjust(8,\"0\")\n", + " #id = str(k).rjust(8,\"0\")\n", + " id = str(k)\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", - " mydata['title'] = '东营胜利采油厂'\n", + " mydata['title'] = '中国石化镇海炼化公司'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", @@ -743,6 +744,85 @@ "print(i)" ] }, + { + "cell_type": "markdown", + "id": "e81d3d4e-561e-4b43-bceb-b6d9afb38100", + "metadata": {}, + "source": [ + "### 生成报告（按照编号）" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2e34cf3a-3488-49c2-b18f-48c35b62e6ee", + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "import json\n", + "import openpyxl\n", + "\n", + "\n", + "headers = {\n", + " \"Content-Type\": \"application/json; charset=UTF-8\"\n", + " }\n", + "filename = 'data/result_镇海2025-1.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "file_path ='./镇海石化2025/'\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", + "i=0\n", + "list2 = []\n", + "person =['X00309','012947','013304','007231','007243','013612']\n", + "for k, v in dict1.items():\n", + " list1 = []\n", + " mydata = {}\n", + " \n", + " #id = str(k).rjust(8,\"0\")\n", + " id = str(k)\n", + " if id in person:\n", + " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", + " mydata['title'] = '中国石化镇海炼化公司'\n", + " mydata['subtitle'] = v['unit']\n", + " mydata['id'] = id\n", + " mydata['name'] = v['name']\n", + " if v['sex'] == '男':\n", + " mydata['gender'] = 'male'\n", + " else:\n", + " mydata['gender'] = 'female'\n", + " \n", + " mydata['month'] = v['month']\n", + " mydata['fits'] = {}\n", + " survey_list = ['tcm','psy','spine']\n", + " for item in survey_list:\n", + " if item in v.keys():\n", + " mydata.setdefault('surveys',{})\n", + " mydata['surveys'][item] = v[item]\n", + " \n", + " \n", + " #mydata['fits'] = {}\n", + " for item in list_item:\n", + " if item in v.keys():\n", + " mydata.setdefault('fits',{})\n", + " if item in ['lung','pushup','step','situp']:\n", + " mark = v[item]['成绩'].split()[0].split('.')[0]\n", + " else:\n", + " mark = v[item]['成绩'].split()[0]\n", + " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", + " #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", + " if len(mydata['fits']) >2 : \n", + " list1.append(mydata)\n", + " list2.append([k,v['name']])\n", + " i+=1\n", + " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", + " #print(id,v['name'],x.text)\n", + " #print(mydata)\n", + " #x.close()\n", + "print(i)" + ] + }, { "cell_type": "code", "execution_count": null, @@ -835,19 +915,19 @@ "import glob\n", "from pathlib import Path\n", "\n", - "fi_path = '/home/songyi/pdf-typescript-old2/胜利采油厂'\n", - "new_path = 'file/胜利采油厂'\n", + "fi_path = '/home/songyi/pdf-typescript-old2/镇海石化2025'\n", + "new_path = 'file/镇海石化2025'\n", "old = []\n", "dict2 = {}\n", "\n", - "filename = 'data/result_胜利采油厂1.json'\n", + "filename = 'data/result_镇海2025-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "fls = glob.glob(f'{fi_path}/*.pdf')\n", "print(len(fls))\n", "for fn in fls:\n", " fi_name =Path(fn).stem.split('-')[0]\n", - " code = int(fi_name) \n", + " code = fi_name \n", " unit_path = Path(new_path,dict1[str(code)]['unit'])\n", " unit_path.mkdir(parents = True, exist_ok = True)\n", " n_name = Path(unit_path,Path(fn).stem+'.pdf')\n", @@ -866,12 +946,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "02319955-7fb6-4791-ae45-55b03bdadd54", "metadata": { + "execution": { + "iopub.execute_input": "2025-11-07T06:31:33.947472Z", + "iopub.status.busy": "2025-11-07T06:31:33.946853Z", + "iopub.status.idle": "2025-11-07T06:31:34.095980Z", + "shell.execute_reply": "2025-11-07T06:31:34.095388Z", + "shell.execute_reply.started": "2025-11-07T06:31:33.947411Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], "source": [ "import os,sys,shutil\n", "import json\n", @@ -879,9 +974,9 @@ "from pathlib import Path\n", "import openpyxl\n", "\n", - "fi_path = '/home/songyi/pdf-typescript-old2/胜利采油厂'\n", + "fi_path = '/home/songyi/pdf-typescript-old2/镇海石化2025'\n", "\n", - "filename = 'data/result_胜利采油厂1.json'\n", + "filename = 'data/result_镇海2025-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "fls = glob.glob(f'{fi_path}/*.pdf')\n", @@ -890,14 +985,14 @@ "for fn in fls:\n", " list2 = []\n", " fi_name =Path(fn).stem.split('-')[0] \n", - " code = int(fi_name)\n", + " code = fi_name\n", " sex = dict1[str(code)]['sex']\n", " unit = dict1[str(code)]['unit']\n", " list2 = [fi_name,Path(fn).stem.split('-')[1],sex,unit]\n", " \n", " list1.append(list2)\n", "\n", - "filename = 'data/胜利采油厂体测报告明细表.xlsx'\n", + "filename = 'data/2025年镇海石化体测报告明细表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", diff --git a/体测单位/北海炼化.ipynb b/体测单位/北海炼化.ipynb index 04ae8a0..1cb0ceb 100644 --- a/体测单位/北海炼化.ipynb +++ b/体测单位/北海炼化.ipynb @@ -3205,10 +3205,187 @@ "print(len(list1),'ok')" ] }, + { + "cell_type": "markdown", + "id": "6139bf27-5367-451f-9f1a-f252625eab1d", + "metadata": {}, + "source": [ + "## 合并读卡系统文件" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "2d7f5a24-f247-4199-a84d-dcf611dbeef6", + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-06T09:49:25.694191Z", + "iopub.status.busy": "2025-11-06T09:49:25.693476Z", + "iopub.status.idle": "2025-11-06T09:49:25.720613Z", + "shell.execute_reply": "2025-11-06T09:49:25.719806Z", + "shell.execute_reply.started": "2025-11-06T09:49:25.694101Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "864 杨小波 \n", + "865 宋舒波 炼油一部\n", + "866 黄耀 公用工程部\n", + "867 陈永佳 炼油一部\n", + "868 欧阳惠婕 检验计量中心\n", + "868 ok\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/北海炼化人员2025.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/data_北海2025.json'\n", + "with open(filename,'r') as fl:\n", + " list1 = json.load(fl)\n", + "for item in list1:\n", + " code = item['id'].lower()\n", + " if code not in dict1.keys():\n", + " print(code,item['name'],item['unit'])\n", + " code = code.lower()\n", + " dict1.setdefault(code,{})\n", + " dict1[code]['name'] = item['name']\n", + " dict1[code]['sex'] = item['gender']\n", + " dict1[code]['unit'] = item['unit']\n", + " dict1[code]['birth'] = item['birth']\n", + "filename = 'data/北海炼化人员2025.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False)\n", + "print(len(dict1),'ok')" + ] + }, + { + "cell_type": "markdown", + "id": "cccfebad-8fc5-4aa9-b15d-05eff2fa421f", + "metadata": {}, + "source": [ + "## 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "7b79c7bb-ce87-44b2-95b1-01e9cb66d5f0", + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-06T09:50:07.068317Z", + "iopub.status.busy": "2025-11-06T09:50:07.067538Z", + "iopub.status.idle": "2025-11-06T09:50:07.100869Z", + "shell.execute_reply": "2025-11-06T09:50:07.100391Z", + "shell.execute_reply.started": "2025-11-06T09:50:07.068246Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "333\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/北海炼化人员2025.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "filename = 'data/marks_20251106.csv'\n", + "re_ta = My.get_result(filename,dict1)\n", + "\n", + "\n", + "filename = 'data/result_北海2025.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": "12b33ee8-2b4e-4b85-9301-4fbcadf4129c", + "metadata": {}, + "source": [ + "## 统计各部门测试情况" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "ca079428-2df9-4f15-b141-2c83cd0efaf5", + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-06T09:50:13.734766Z", + "iopub.status.busy": "2025-11-06T09:50:13.734508Z", + "iopub.status.idle": "2025-11-06T09:50:13.753135Z", + "shell.execute_reply": "2025-11-06T09:50:13.752583Z", + "shell.execute_reply.started": "2025-11-06T09:50:13.734739Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "\n", + "filename = 'data/result_北海2025.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/北海炼化人员2025.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "\n", + "dict3 = {}\n", + "for k, v in dict2.items():\n", + " unit = v['unit']\n", + " #sub_unit = v['sub_unit']\n", + " dict3.setdefault(unit,{})\n", + " dict3[unit].setdefault('人数',0)\n", + " dict3[unit].setdefault('体测人数',0)\n", + " #dict3[unit].setdefault(sub_unit,0)\n", + " #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1\n", + " dict3[unit]['人数'] = dict3[unit]['人数'] + 1\n", + "\n", + "title =['单位','报名人数','体测人数']\n", + "list1 = []\n", + "for k,v in dict1.items(): \n", + " unit = v['unit']\n", + " #sub_unit = v['sub_unit']\n", + " #dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1\n", + " dict3[unit].setdefault('体测人数',0)\n", + " dict3[unit]['体测人数'] = dict3[unit]['体测人数'] + 1\n", + "for k, v in dict3.items():\n", + " list2 = [k,v['人数'],v['体测人数']]\n", + " list1.append(list2)\n", + "\n", + "filename = 'data/北海炼化部门测试情况（截至20251105）.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "8ac3a30f-002f-49b4-bbb0-c63ac37037f9", + "id": "78f2737d-97e7-4ded-994a-86818119597a", "metadata": {}, "outputs": [], "source": [] 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 16bf4a8..a2c48be 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 @@ -47,26 +47,10 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "de3144e7-544a-4430-bf69-3d20479d50c9", - "metadata": { - "execution": { - "iopub.execute_input": "2025-08-25T07:09:50.818045Z", - "iopub.status.busy": "2025-08-25T07:09:50.817355Z", - "iopub.status.idle": "2025-08-25T07:09:51.017532Z", - "shell.execute_reply": "2025-08-25T07:09:51.017045Z", - "shell.execute_reply.started": "2025-08-25T07:09:50.817980Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "30 ok\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import openpyxl\n", "import json\n", @@ -106,27 +90,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "970e171e-1360-448f-a28c-520ccb8f314a", "metadata": { - "execution": { - "iopub.execute_input": "2025-08-25T07:10:06.792695Z", - "iopub.status.busy": "2025-08-25T07:10:06.791764Z", - "iopub.status.idle": "2025-08-25T07:10:06.809711Z", - "shell.execute_reply": "2025-08-25T07:10:06.808745Z", - "shell.execute_reply.started": "2025-08-25T07:10:06.792617Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "25\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import datetime\n", @@ -183,26 +152,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b", - "metadata": { - "execution": { - "iopub.execute_input": "2025-08-25T07:13:08.181827Z", - "iopub.status.busy": "2025-08-25T07:13:08.181087Z", - "iopub.status.idle": "2025-08-25T07:13:08.195674Z", - "shell.execute_reply": "2025-08-25T07:13:08.194568Z", - "shell.execute_reply.started": "2025-08-25T07:13:08.181758Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok!\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "import time\n", @@ -249,16 +202,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890", "metadata": { - "execution": { - "iopub.execute_input": "2025-08-13T02:46:29.876079Z", - "iopub.status.busy": "2025-08-13T02:46:29.875587Z", - "iopub.status.idle": "2025-08-13T02:46:29.904595Z", - "shell.execute_reply": "2025-08-13T02:46:29.904071Z", - "shell.execute_reply.started": "2025-08-13T02:46:29.876014Z" - }, "tags": [] }, "outputs": [], @@ -567,26 +513,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "23ffd115-72a3-4f90-9e64-ffa6420df8a4", - "metadata": { - "execution": { - "iopub.execute_input": "2025-08-25T07:13:29.388206Z", - "iopub.status.busy": "2025-08-25T07:13:29.387452Z", - "iopub.status.idle": "2025-08-25T07:13:42.980504Z", - "shell.execute_reply": "2025-08-25T07:13:42.979631Z", - "shell.execute_reply.started": "2025-08-25T07:13:29.388132Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "25\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import requests\n", "import json\n", @@ -649,10 +579,253 @@ "print(i)" ] }, + { + "cell_type": "markdown", + "id": "ffb6c02a-8ae1-4332-96ca-ce541bfbf0be", + "metadata": {}, + "source": [ + "## 问卷信息统计" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "87556725-f68a-484b-827c-f6735155e940", + "id": "d22061b2-0109-4d6c-90d7-c31d9e318add", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/sql_20251106.csv'\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " list1.append(line)\n", + "nn = 0\n", + "for item in list1:\n", + " dict2 = {}\n", + " \n", + " phone = str(item[0])[2:]\n", + " content = json.loads(json.loads(item[1]))\n", + " tcm = []\n", + " for i in range(0,60):\n", + " tcm.append(0)\n", + " for k, v in content.items(): \n", + " if 'tcm' not in k:\n", + " dict2[k] = v\n", + " else:\n", + " i = int(k[3:])\n", + " tcm[i-1] = int(v)\n", + " \n", + " code = phone\n", + " dict1.setdefault(code,{})\n", + " dict1[code]['name'] = content['name']\n", + " if content['gender'] == 'male':\n", + " dict1[code]['sex'] = '男'\n", + " else:\n", + " dict1[code]['sex'] = '女'\n", + " dict1[code]['birth'] = str(content['birth'])\n", + " dict1[code]['unit'] = '采油工艺研究院'\n", + " #dict1[code]['phone'] = phone\n", + " #dict1[code]['weight'] = dict2['weight']\n", + " #dict1[code]['waist'] = dict2['waist']\n", + " #dict1[code]['hip'] = dict2['hip']\n", + " dict1[code]['tcm'] = tcm\n", + "list1 = []\n", + "for k, v in dict1.items():\n", + " list2 = [k,v['name'],v['sex'],v['birth']]\n", + " list1.append(list2)\n", + "title =['手机号码','姓名','性别','出生年月']\n", + "filename = 'data/采油工艺研究院问卷人员（截至20251105）.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "5c4df7b1-ced9-49c1-a9e4-dc2a54f201bc", + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-06T02:15:58.258398Z", + "iopub.status.busy": "2025-11-06T02:15:58.257685Z", + "iopub.status.idle": "2025-11-06T02:15:58.274276Z", + "shell.execute_reply": "2025-11-06T02:15:58.273471Z", + "shell.execute_reply.started": "2025-11-06T02:15:58.258334Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "27\n" + ] + } + ], + "source": [ + "import json\n", + "import csv\n", + "import openpyxl\n", + "import time\n", + "from datetime import date\n", + "\n", + "\n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/sql_20251106.csv'\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " list1.append(line)\n", + "nn = 0\n", + "for item in list1:\n", + " dict2 = {}\n", + " \n", + " phone = str(item[0])[2:]\n", + " content = json.loads(json.loads(item[1]))\n", + " tcm = []\n", + " spine = []\n", + " for i in range(0,60):\n", + " tcm.append(0)\n", + " for i in range(0,25):\n", + " spine.append(0)\n", + " for k, v in content.items(): \n", + " if 'tcm' in k:\n", + " i = int(k[3:])\n", + " tcm[i-1] = int(v)\n", + " if 'spine' in k:\n", + " i = int(k[5:])\n", + " spine[i-1] = int(v)\n", + " code = phone\n", + " dict1.setdefault(code,{})\n", + " dict1[code]['name'] = content['name']\n", + " if content['gender'] == 'male':\n", + " dict1[code]['sex'] = '男'\n", + " else:\n", + " dict1[code]['sex'] = '女'\n", + " dict1[code]['birth'] = str(content['birth'])+'-01'\n", + " dict1[code]['unit'] = '采油工艺研究院'\n", + " dict1[code]['tcm'] = tcm \n", + " dict1[code]['spine'] = spine\n", + " \n", + "filename = 'data/result_新疆油田-2511.json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False)\n", + "print(len(dict1))" + ] + }, + { + "cell_type": "markdown", + "id": "3a7bc501-6739-4b74-90f6-21066de637e2", + "metadata": {}, + "source": [ + "## 生成问卷报告" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "cdbeb2f8-2784-4688-806a-6506799941cb", + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-06T02:20:43.542803Z", + "iopub.status.busy": "2025-11-06T02:20:43.542192Z", + "iopub.status.idle": "2025-11-06T02:20:50.673104Z", + "shell.execute_reply": "2025-11-06T02:20:50.671961Z", + "shell.execute_reply.started": "2025-11-06T02:20:43.542746Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "27\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-2511.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "list1 = []\n", + "file_path ='./新疆油田-2511/'\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", + "i=0\n", + "list2 = []\n", + "for k, v in dict1.items():\n", + " list1 = []\n", + " mydata = {}\n", + " \n", + " id = str(k).rjust(4,\"0\")\n", + " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", + " mydata['title'] = '采油工艺研究院'\n", + " mydata['subtitle'] = ''#v['unit']\n", + " mydata['id'] = id\n", + " mydata['name'] = v['name']\n", + " if v['sex'] == '男':\n", + " mydata['gender'] = 'male'\n", + " else:\n", + " mydata['gender'] = 'female'\n", + " \n", + " mydata['month'] = 60\n", + " mydata['fits'] = {}\n", + " survey_list = ['tcm','psy57','spine']\n", + " for item in survey_list:\n", + " if item in v.keys():\n", + " mydata.setdefault('surveys',{})\n", + " mydata['surveys'][item] = v[item]\n", + " \n", + " \n", + " #mydata['fits'] = {}\n", + " for item in list_item:\n", + " if item in v.keys():\n", + " mydata.setdefault('fits',{})\n", + " if item in ['lung','pushup','step','situp']:\n", + " mark = v[item]['成绩'].split()[0].split('.')[0]\n", + " else:\n", + " mark = v[item]['成绩'].split()[0]\n", + " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", + " if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", + " #if len(mydata['fits']) >2 : \n", + " list1.append(mydata)\n", + " list2.append([k,v['name']])\n", + " i+=1\n", + " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", + " #print(id,v['name'],x.text)\n", + " #print(mydata)\n", + " #x.close()\n", + "print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8564de3a-1511-4a79-9ec3-32aea03595c7", "metadata": {}, "outputs": [], "source": [] diff --git a/体测单位/沧州炼化.ipynb b/体测单位/沧州炼化.ipynb new file mode 100644 index 0000000..d820104 --- /dev/null +++ b/体测单位/沧州炼化.ipynb @@ -0,0 +1,136 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ce7a7798-b8b7-4564-9e17-3e9c2d4565d8", + "metadata": {}, + "source": [ + "## 体测人员导入" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "270e8c57-36d3-476c-8c50-4d8bc38a918a", + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-07T02:09:01.530591Z", + "iopub.status.busy": "2025-11-07T02:09:01.529883Z", + "iopub.status.idle": "2025-11-07T02:09:01.667299Z", + "shell.execute_reply": "2025-11-07T02:09:01.666813Z", + "shell.execute_reply.started": "2025-11-07T02:09:01.530529Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1287 ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "from datetime import date\n", + "\n", + "wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " code = sheet.cell(n, 2).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['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n", + " dict1['unit'] = sheet.cell(n, 3).value\n", + " dict1['phone'] = str(sheet.cell(n, 7).value)\n", + " person[code] = dict1\n", + "filename = 'data/沧州炼化人员.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print(len(person),'ok')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "829d9460-a14e-4689-a7c4-d00bbd8c2e32", + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-07T02:21:14.683211Z", + "iopub.status.busy": "2025-11-07T02:21:14.682609Z", + "iopub.status.idle": "2025-11-07T02:21:14.839810Z", + "shell.execute_reply": "2025-11-07T02:21:14.839319Z", + "shell.execute_reply.started": "2025-11-07T02:21:14.683158Z" + } + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "from datetime import date\n", + "\n", + "wb = openpyxl.load_workbook('data/沧州炼化人员.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "list1 = []\n", + "list2 = []\n", + "for n in range(2, sheet.max_row+1):\n", + " code = sheet.cell(n, 2).value\n", + " if code not in list1:\n", + " list1.append(code)\n", + " else:\n", + " list2.append(code)\n", + "list3 = []\n", + "for n in range(2, sheet.max_row+1):\n", + " code = sheet.cell(n, 2).value\n", + " if code in list2:\n", + " list4 = [code,sheet.cell(n, 4).value,sheet.cell(n, 3).value]\n", + " list3.append(list4)\n", + "filename = 'data/沧州炼化编号重复人员.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "\n", + "for row in list3:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c1cfb7b-7252-49ff-97f9-399b658ddf38", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/体测单位/镇海.ipynb b/体测单位/镇海.ipynb index 0e71856..4fde9ab 100644 --- a/体测单位/镇海.ipynb +++ b/体测单位/镇海.ipynb @@ -1684,6 +1684,39 @@ "print(len(person),'ok')" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "2af3b485-743e-40ca-8caa-5eecd572c2a5", + "metadata": {}, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "from datetime import date\n", + "\n", + "wb = openpyxl.load_workbook('data/镇海人员信息确认表.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " code = sheet.cell(n, 1).value.lower()\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value\n", + " dict1['sex'] = sheet.cell(n, 3).value\n", + " dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] \n", + " dict1['unit'] = sheet.cell(n, 4).value\n", + " if sheet.cell(n,6).value is not None:\n", + " dict1['phone'] = sheet.cell(n, 6).value\n", + " person[code] = dict1\n", + "filename = 'data/镇海人员2025.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": "c938346f-711c-4cd7-b2f1-3776df5a00b8", @@ -1730,26 +1763,10 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "id": "505fce63-ed92-4f63-82da-7207b015dab4", - "metadata": { - "execution": { - "iopub.execute_input": "2025-11-01T07:31:37.856873Z", - "iopub.status.busy": "2025-11-01T07:31:37.856270Z", - "iopub.status.idle": "2025-11-01T07:31:37.883335Z", - "shell.execute_reply": "2025-11-01T07:31:37.882723Z", - "shell.execute_reply.started": "2025-11-01T07:31:37.856814Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1596 ok\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "\n", @@ -1778,26 +1795,10 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "id": "f1aefe1c-150d-4a55-98b5-3a72e9510e5d", - "metadata": { - "execution": { - "iopub.execute_input": "2025-11-01T07:33:40.360278Z", - "iopub.status.busy": "2025-11-01T07:33:40.359732Z", - "iopub.status.idle": "2025-11-01T07:33:40.384531Z", - "shell.execute_reply": "2025-11-01T07:33:40.383953Z", - "shell.execute_reply.started": "2025-11-01T07:33:40.360223Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1596 ok\n" - ] - } - ], + "metadata": {}, + "outputs": [], "source": [ "import json\n", "\n", @@ -1820,6 +1821,100 @@ "print(len(dict1),'ok')" ] }, + { + "cell_type": "markdown", + "id": "a5965545-1f5b-4ba2-b1b2-81a56572af74", + "metadata": {}, + "source": [ + "## 核对人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "a8438d1b-ec3d-41e3-9c28-d44e88378c75", + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-07T05:30:46.511261Z", + "iopub.status.busy": "2025-11-07T05:30:46.510560Z", + "iopub.status.idle": "2025-11-07T05:30:46.695916Z", + "shell.execute_reply": "2025-11-07T05:30:46.695456Z", + "shell.execute_reply.started": "2025-11-07T05:30:46.511196Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1564 ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "from datetime import date\n", + "\n", + "wb = openpyxl.load_workbook('data/镇海人员信息确认表.xlsx')\n", + "sheet = wb.active\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " code = sheet.cell(n, 1).value\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value\n", + " dict1['sex'] = sheet.cell(n, 3).value\n", + " dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] \n", + " dict1['unit'] = sheet.cell(n, 4).value\n", + " if sheet.cell(n, 6).value is not None:\n", + " dict1['phone'] = sheet.cell(n, 6).value\n", + " person[code] = dict1\n", + "filename = 'data/镇海人员2025.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": "74f568d1-0bd9-4028-8e6a-e0c25ead7958", + "metadata": {}, + "source": [ + "## 导入手工数据" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "772330af-6224-43ad-9727-79854c33231c", + "metadata": {}, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "from datetime import date\n", + "\n", + "wb = openpyxl.load_workbook('data/镇海项目手工成绩.xlsx')\n", + "sheet = wb.active\n", + "filename = 'data/result_镇海2025.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl) \n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " code = str(sheet.cell(n, 1).value)\n", + " item = str(sheet.cell(n, 2).value)\n", + " mark = str(sheet.cell(n, 3).value)\n", + " dict2[code].setdefault(item,{})\n", + " dict2[code][item]['成绩'] = mark\n", + " \n", + "filename = 'data/result_镇海2025-1.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2, fl, ensure_ascii=False) \n", + "print(len(re_ta)) " + ] + }, { "cell_type": "markdown", "id": "065cb133-3c61-46bd-bf81-7afa2c9be9e0", @@ -1856,34 +1951,56 @@ }, { "cell_type": "markdown", - "id": "09c60f09-e35b-424a-85a8-804dd3644a0f", + "id": "f9df8146-0430-42b5-b6d0-992c71ee645b", "metadata": {}, "source": [ - "## 获取人员测试成绩（上午）" + "## 修正测试成绩" ] }, { "cell_type": "code", - "execution_count": null, - "id": "9a6a8ce6-5c8b-47c4-a597-cd0c9eb8a9fb", - "metadata": {}, - "outputs": [], + "execution_count": 60, + "id": "9caa8291-7d48-483b-992a-45f244567600", + "metadata": { + "execution": { + "iopub.execute_input": "2025-11-07T06:15:57.737800Z", + "iopub.status.busy": "2025-11-07T06:15:57.737061Z", + "iopub.status.idle": "2025-11-07T06:15:57.818225Z", + "shell.execute_reply": "2025-11-07T06:15:57.817635Z", + "shell.execute_reply.started": "2025-11-07T06:15:57.737730Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1564\n" + ] + } + ], "source": [ + "import openpyxl\n", "import json\n", - "import datetime\n", - "import csv\n", "from datetime import date\n", - "import my_module1 as My\n", "\n", + "\n", + "filename = 'data/result_镇海2025.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl) \n", "filename = 'data/镇海人员2025.json'\n", "with open(filename,'r') as fl:\n", - " dict1 = json.load(fl) \n", - "filename = 'data/marks_20251030-1.csv'\n", - "re_ta = My.get_result(filename,dict1)\n", - "\n", - "\n", - "\n", - "print(len(re_ta))" + " dict3 = json.load(fl) \n", + "dict1 = {}\n", + "for k, v in dict2.items():\n", + " code = k.upper()\n", + " dict1[code] = v\n", + " dict1[code]['unit'] = dict3[code]['unit']\n", + "filename = 'data/result_镇海2025-1.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False) \n", + "print(len(re_ta))\n", + " " ] }, { @@ -1907,7 +2024,7 @@ "\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_镇海2025.json'\n", + "filename = 'data/result_镇海2025-1.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "for k, v in dict2.items():\n", @@ -1946,17 +2063,9 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "id": "8ed6705e-b4f6-419e-b94b-4c391fed4551", - "metadata": { - "execution": { - "iopub.execute_input": "2025-11-01T07:33:54.641236Z", - "iopub.status.busy": "2025-11-01T07:33:54.640521Z", - "iopub.status.idle": "2025-11-01T07:33:55.013934Z", - "shell.execute_reply": "2025-11-01T07:33:55.013388Z", - "shell.execute_reply.started": "2025-11-01T07:33:54.641173Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "import json\n", @@ -1969,7 +2078,7 @@ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", - "filename = 'data/镇海人员2025-1.json'\n", + "filename = 'data/镇海人员2025.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", " \n", @@ -2003,7 +2112,7 @@ " list2.append('')\n", " \n", " list1.append(list2)\n", - "filename = 'data/镇海体测情况表（截至20251031）.xlsx'\n", + "filename = 'data/镇海体测情况表(2025年）.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", @@ -2071,23 +2180,6 @@ "wb.save(filename)" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "bea9e53e-96e7-4006-9674-48c91e8ab0c7", - "metadata": {}, - "outputs": [], - "source": [ - "filename = 'data/result_镇海2025.json'\n", - "with open(filename,'r') as fl:\n", - " dict2 = json.load(fl) \n", - "i = 1\n", - "for k, v in dict2.items():\n", - " if 'bmi' in v.keys():\n", - " print(i,k,v['name'])\n", - " i+=1" - ] - }, { "cell_type": "markdown", "id": "0d7d8dd1-45f7-455d-8db3-38febc2a2395",