20230426

体测单位/低碳院.ipynb

@@ -656,6 +656,53 @@
     "print('ok')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "270af334-51d0-4c79-8639-e64fb4bb292a",
+   "metadata": {},
+   "source": [
+    "### 报告分组更名"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f0860f3a-9f63-43c9-aa39-3ee5ad8116e3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import os,sys,shutil\n",
+    "import json\n",
+    "import math\n",
+    "import openpyxl\n",
+    "\n",
+    "filename = 'data/低碳院体测人员信息2023.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "fi_path = 'file/139/2023-03-08'\n",
+    "m_path = 'file/139/new'\n",
+    "old = []\n",
+    "\n",
+    "fl=os.listdir(fi_path)\n",
+    "for fn in fl:\n",
+    "    if os.path.isfile(fi_path + '/' + fn):\n",
+    "        ofn = int(fn.split('.')[0])\n",
+    "        old.append(ofn) \n",
+    "old.sort()\n",
+    "for n in old:    \n",
+    "    o_name = f'{fi_path}/{n}.pdf'\n",
+    "    name = dict1[str(n)]['name']\n",
+    "    n_name = f'{m_path}/{str(n).rjust(5,\"0\")}-{name}.pdf'\n",
+    "    #print(o_name,n_name)\n",
+    "    if not os.path.exists(n_name):\n",
+    "        shutil.copyfile(o_name,n_name)\n",
+    "        print(n_name)\n",
+    "\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "8c97bf0f-2b01-487d-bd18-200fcbe2c9b3",
@@ -666,35 +713,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "id": "bcc60f36-71aa-4d59-b4dd-55b1f95ef4f3",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-03-23T13:10:46.922922Z",
-     "iopub.status.busy": "2023-03-23T13:10:46.922072Z",
-     "iopub.status.idle": "2023-03-23T13:10:46.938257Z",
-     "shell.execute_reply": "2023-03-23T13:10:46.937054Z",
-     "shell.execute_reply.started": "2023-03-23T13:10:46.922881Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20~24岁平均成绩：1.82分，人数：2人\n",
-      "25~29岁平均成绩：3.0分，人数：13人\n",
-      "30~34岁平均成绩：3.01分，人数：36人\n",
-      "35~39岁平均成绩：3.23分，人数：41人\n",
-      "40~44岁平均成绩：3.05分，人数：55人\n",
-      "45~49岁平均成绩：2.82分，人数：14人\n",
-      "50~54岁平均成绩：2.88分，人数：5人\n",
-      "55~59岁平均成绩：2.14分，人数：5人\n",
-      "60~69岁平均成绩：1.45分，人数：1人\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "\n",
@@ -726,27 +750,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": null,
    "id": "f0624326-7a21-4358-a036-daf03432bc80",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-03-23T13:46:30.165738Z",
-     "iopub.status.busy": "2023-03-23T13:46:30.164841Z",
-     "iopub.status.idle": "2023-03-23T13:46:30.207376Z",
-     "shell.execute_reply": "2023-03-23T13:46:30.206332Z",
-     "shell.execute_reply.started": "2023-03-23T13:46:30.165698Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'体重': {'总体': [625, 165], '男': [310, 94], '女': [315, 71]}, '肺活量': {'总体': [651, 166], '男': [371, 95], '女': [280, 71]}, '握力': {'总体': [335, 159], '男': [191, 93], '女': [144, 66]}, '坐位体前屈': {'总体': [474, 162], '男': [248, 92], '女': [226, 70]}, '纵跳': {'总体': [515, 164], '男': [276, 94], '女': [239, 70]}, '俯卧撑': {'总体': [322, 85], '男': [322, 85]}, '一分钟仰卧起坐': {'总体': [246, 59], '女': [246, 59]}, '单脚站立': {'总体': [339, 165], '男': [169, 94], '女': [170, 71]}, '选择反应时': {'总体': [562, 164], '男': [313, 93], '女': [249, 71]}, '台阶指数': {'总体': [413, 146], '男': [239, 84], '女': [174, 62]}}\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "import openpyxl\n",

体测单位/淄博交警支队.ipynb

@@ -892,7 +892,7 @@
     "        dict1['unit'] = sheet.cell(n, 1).value\n",
     "        person[phone] = dict1\n",
     "list1 = []\n",
-    "filename = 'data/Survey_20230418-psy.csv'\n",
+    "filename = 'data/Survey_20230424-tcm5.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -906,7 +906,7 @@
     "    if k not in cjry:\n",
     "        list2.append([k,person[k]['name'],person[k]['unit']])\n",
     "        \n",
-    "filename = 'data/交警支队未参加中医评估人员(20230417).xlsx'\n",
+    "filename = 'data/交警支队未参加中医评估人员(20230424).xlsx'\n",
     "wb = openpyxl.Workbook()\n",
     "sheet = wb.active\n",
     "#sheet.append(title)\n",
@@ -928,7 +928,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "d54bd635-c0d8-4527-811f-6d28f9cf68ae",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import openpyxl\n",
@@ -940,6 +942,74 @@
     "person = {}\n",
     "cjry = set()\n",
     "for n in range(2, sheet.max_row+1):\n",
+    "    if sheet.cell(n,2).value is None:gangx\n",
+    "        break\n",
+    "    else:        \n",
+    "        phone = sheet.cell(n, 5).value \n",
+    "        person.setdefault(phone, {})\n",
+    "        dict1 = {}\n",
+    "        dict1['name'] = sheet.cell(n, 2).value    \n",
+    "        xb = str(sheet.cell(n, 3).value)\n",
+    "        if xb == '1':\n",
+    "            sex = '男'\n",
+    "        elif xb =='2':\n",
+    "            sex = '女'\n",
+    "        dict1['sex'] = sex\n",
+    "        dict1['unit'] = sheet.cell(n, 1).value\n",
+    "        person[phone] = dict1\n",
+    "list1 = []\n",
+    "filename = 'data/Survey_20230424-jj.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",
+    "        cjry.add(line[2])\n",
+    "print(len(cjry))\n",
+    "\n",
+    "list2 = []\n",
+    "for item in cjry:    \n",
+    "    if str(item)  not in person.keys():\n",
+    "        list2.append(['','',item])\n",
+    "filename = 'data/交警支队缺失信息人员(20230424).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)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c0f7a72a-3930-4c05-bf96-e65f0f83a634",
+   "metadata": {},
+   "source": [
+    "### 统计生成报告人员情况表"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a9a871ae-ab54-4f49-ada4-438b6a3e10be",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "import glob,os,shutil\n",
+    "from pathlib2 import Path\n",
+    "import csv\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/淄博交警支队人员名单（排序花名册）.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "person = {}\n",
+    "depart = []\n",
+    "for n in range(2, sheet.max_row+1):\n",
     "    if sheet.cell(n,2).value is None:\n",
     "        break\n",
     "    else:        \n",
@@ -956,24 +1026,146 @@
     "        dict1['unit'] = sheet.cell(n, 1).value\n",
     "        person[phone] = dict1\n",
     "list1 = []\n",
-    "filename = 'data/Survey_20230418-psy.csv'\n",
+    "dict1 = {}\n",
-    "with open(filename,'r',newline='') as csv_file:\n",
+    "old = []\n",
-    "    fl = csv.reader(csv_file,delimiter=',')\n",
+    "fi_path = 'file/132/20230425'\n",
-    "    header = next(fl)    \n",
+    "fl=glob.glob(f'{fi_path}/*.pdf')\n",
-    "    for line in fl:\n",
+    "print(len(fl))\n",
-    "        #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
+    "for fn in fl:\n",
-    "        cjry.add(line[2])\n",
+    "    phone = Path(fn).stem\n",
-    "print(len(cjry))\n",
+    "    if phone in person.keys():\n",
-    "list2 = []\n",
+    "        name = person[phone]['name']\n",
-    "for item in cjry:\n",
+    "        unit = person[phone]['unit']\n",
-    "    if str(item) not in person.keys():\n",
+    "    else:\n",
-    "        print(item)\n"
+    "        name = ''\n",
+    "        unit ='未明确部门'\n",
+    "    if unit not in depart:\n",
+    "        depart.append(unit)\n",
+    "    dict1[phone] = {'name':name,'unit':unit}\n",
+    "print(depart)\n",
+    "m_path = 'file/132/new'\n",
+    "for pn in depart:\n",
+    "    if not os.path.exists(m_path + '/' + pn):\n",
+    "        os.mkdir(m_path + '/' + pn)\n",
+    "\n",
+    "fl=os.listdir(fi_path)\n",
+    "for fn in fl:\n",
+    "    if os.path.isfile(fi_path + '/' + fn):\n",
+    "        ofn = int(fn.split('.')[0])\n",
+    "        old.append(ofn) \n",
+    "old.sort()\n",
+    "for n in old:    \n",
+    "    o_name = f'{fi_path}/{n}.pdf'\n",
+    "    unit = dict1[str(n)]['unit']\n",
+    "    \n",
+    "    n_name = f'{m_path}/{unit}/{str(n)}.pdf'\n",
+    "    #print(o_name,n_name)\n",
+    "    if not os.path.exists(n_name):\n",
+    "        shutil.copyfile(o_name,n_name)\n",
+    "        print(n_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "790407ea-3461-4533-8775-390ea3465da9",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-04-25T12:17:16.457023Z",
+     "iopub.status.busy": "2023-04-25T12:17:16.456189Z",
+     "iopub.status.idle": "2023-04-25T12:17:16.698120Z",
+     "shell.execute_reply": "2023-04-25T12:17:16.697394Z",
+     "shell.execute_reply.started": "2023-04-25T12:17:16.456992Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "452\n",
+      "['博山大队', '桓台大队', '未明确部门', '支队', '淄川大队', '文昌湖大队', '支队车管所', '高青大队', '张店大队', '设施大队', '周村大队', '高新区大队', '支队外调人员', '沂源大队', '退休人员', '临淄大队']\n"
+     ]
+    }
+   ],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "import glob,os,shutil\n",
+    "from pathlib2 import Path\n",
+    "import csv\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/淄博交警支队人员名单（排序花名册）.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "person = {}\n",
+    "depart = []\n",
+    "for n in range(2, sheet.max_row+1):\n",
+    "    if sheet.cell(n,2).value is None:\n",
+    "        break\n",
+    "    else:        \n",
+    "        phone = sheet.cell(n, 5).value \n",
+    "        person.setdefault(phone, {})\n",
+    "        dict1 = {}\n",
+    "        dict1['name'] = sheet.cell(n, 2).value    \n",
+    "        xb = str(sheet.cell(n, 3).value)\n",
+    "        if xb == '1':\n",
+    "            sex = '男'\n",
+    "        elif xb =='2':\n",
+    "            sex = '女'\n",
+    "        dict1['sex'] = sex\n",
+    "        dict1['unit'] = sheet.cell(n, 1).value\n",
+    "        person[phone] = dict1\n",
+    "list1 = []\n",
+    "dict1 = {}\n",
+    "old = []\n",
+    "fi_path = 'file/132/20230425'\n",
+    "fl=glob.glob(f'{fi_path}/*.pdf')\n",
+    "print(len(fl))\n",
+    "for fn in fl:\n",
+    "    phone = Path(fn).stem\n",
+    "    if phone in person.keys():\n",
+    "        name = person[phone]['name']\n",
+    "        unit = person[phone]['unit']\n",
+    "    else:\n",
+    "        name = ''\n",
+    "        unit ='未明确部门'\n",
+    "    if unit not in depart:\n",
+    "        depart.append(unit)\n",
+    "    dict1[phone] = {'name':name,'unit':unit}\n",
+    "print(depart)\n",
+    "m_path = 'file/132/new'\n",
+    "for pn in depart:\n",
+    "    if not os.path.exists(m_path + '/' + pn):\n",
+    "        os.mkdir(m_path + '/' + pn)\n",
+    "\n",
+    "fl=os.listdir(fi_path)\n",
+    "for fn in fl:\n",
+    "    if os.path.isfile(fi_path + '/' + fn):\n",
+    "        ofn = int(fn.split('.')[0])\n",
+    "        old.append(ofn) \n",
+    "old.sort()\n",
+    "for n in old:    \n",
+    "    o_name = f'{fi_path}/{n}.pdf'\n",
+    "    unit = dict1[str(n)]['unit']    \n",
+    "    n_name = f'{m_path}/{unit}/{str(n)}.pdf'\n",
+    "    list1.append([unit,n])\n",
+    "filename = 'data/淄博交警报告打印明细表.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "title = ['部门','手机号码']\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": "908df4fc-254f-4525-a199-e0b82469af81",
+   "id": "c26f4d44-d58d-4a37-a117-ac4a90a67866",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -981,7 +1173,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -995,7 +1187,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,

体测单位/淄博高新区.ipynb

@@ -10,27 +10,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "6ab7bf77-5451-4773-9b13-10e04a48ddfb",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-04-21T06:44:50.778622Z",
-     "iopub.status.busy": "2023-04-21T06:44:50.777794Z",
-     "iopub.status.idle": "2023-04-21T06:44:51.048732Z",
-     "shell.execute_reply": "2023-04-21T06:44:51.047657Z",
-     "shell.execute_reply.started": "2023-04-21T06:44:50.778580Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -59,6 +44,45 @@
     "print('ok')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "176b8fca-a7aa-4949-88df-b99158bfd46b",
+   "metadata": {},
+   "source": [
+    "## 补充人员信息（部门）"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c4baf116-9e8b-4820-98a7-9a468f4abb7f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "import csv\n",
+    "filename = 'data/高新区.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "wb = openpyxl.load_workbook('data/高新区.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "person = {}\n",
+    "for n in range(2, sheet.max_row+1):\n",
+    "    if sheet.cell(n,2).value is None:\n",
+    "        break\n",
+    "    else:        \n",
+    "        code = int(sheet.cell(n, 4).value)\n",
+    "        if str(code) in dict1.keys():\n",
+    "            dict1[str(code)]['unit'] = sheet.cell(n, 3).value\n",
+    "with open(filename, 'w') as fl:\n",
+    "    json.dump(dict1, fl, ensure_ascii=False)\n",
+    "print('ok')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "502638d8-79d0-4392-953e-047c8428c9a5",
@@ -77,27 +101,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "7609f3c3-5c52-4b92-a2d5-359bf4a45a10",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-04-21T07:01:46.516495Z",
-     "iopub.status.busy": "2023-04-21T07:01:46.515666Z",
-     "iopub.status.idle": "2023-04-21T07:01:46.605645Z",
-     "shell.execute_reply": "2023-04-21T07:01:46.604904Z",
-     "shell.execute_reply.started": "2023-04-21T07:01:46.516452Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "213\n"
-     ]
-    }
-   ],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -106,7 +115,7 @@
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
     "cjry = set()\n",
-    "filename = 'data/Survey_20230421-psy.csv'\n",
+    "filename = 'data/Survey_20230424-psy.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -120,7 +129,7 @@
     "    if 'phone' in v.keys() and v['phone'] not in cjry:\n",
     "        list2.append([k,dict1[str(k)]['name'],dict1[str(k)]['phone']])\n",
     "        \n",
-    "filename = 'data/高新未参加心理评估人员(20230421).xlsx'\n",
+    "filename = 'data/高新未参加心理评估人员(20230424).xlsx'\n",
     "wb = openpyxl.Workbook()\n",
     "sheet = wb.active\n",
     "#sheet.append(title)\n",
@@ -140,27 +149,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "fd2391c1-8d73-4714-8c20-42161b3eb493",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-04-21T07:03:35.174975Z",
-     "iopub.status.busy": "2023-04-21T07:03:35.174533Z",
-     "iopub.status.idle": "2023-04-21T07:03:35.240353Z",
-     "shell.execute_reply": "2023-04-21T07:03:35.239435Z",
-     "shell.execute_reply.started": "2023-04-21T07:03:35.174944Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "217\n"
-     ]
-    }
-   ],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -169,7 +163,7 @@
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
     "cjry = set()\n",
-    "filename = 'data/Survey_20230421-tcm1.csv'\n",
+    "filename = 'data/Survey_20230424-tcm1.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -183,7 +177,7 @@
     "    if 'phone' in v.keys() and v['phone'] not in cjry:\n",
     "        list2.append([k,dict1[str(k)]['name'],dict1[str(k)]['phone']])\n",
     "        \n",
-    "filename = 'data/高新未参加中医评估人员(20230421).xlsx'\n",
+    "filename = 'data/高新未参加中医评估人员(20230424).xlsx'\n",
     "wb = openpyxl.Workbook()\n",
     "sheet = wb.active\n",
     "#sheet.append(title)\n",
@@ -203,27 +197,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "fd5af221-9369-4eab-884c-06885c940d88",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-04-21T07:16:05.935096Z",
-     "iopub.status.busy": "2023-04-21T07:16:05.934235Z",
-     "iopub.status.idle": "2023-04-21T07:16:05.967884Z",
-     "shell.execute_reply": "2023-04-21T07:16:05.966719Z",
-     "shell.execute_reply.started": "2023-04-21T07:16:05.935054Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "235\n"
-     ]
-    }
-   ],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -232,7 +211,7 @@
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
     "cjry = set()\n",
-    "filename = 'data/Survey_20230421.csv'\n",
+    "filename = 'data/Survey_20230424-gx.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -249,7 +228,7 @@
     "for item in cjry:    \n",
     "    if item  not in phones:\n",
     "        list2.append(['','',item])\n",
-    "filename = 'data/高新缺失信息人员(20230421).xlsx'\n",
+    "filename = 'data/高新缺失信息人员(20230424).xlsx'\n",
     "wb = openpyxl.Workbook()\n",
     "sheet = wb.active\n",
     "#sheet.append(title)\n",
@@ -259,10 +238,199 @@
     "wb.save(filename)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "9e9dc89c-5ca1-4c2d-997a-6330df544ea0",
+   "metadata": {},
+   "source": [
+    "### 统计生成报告人员情况表"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "01933c1f-b7e8-46ff-8a52-f415fca82e27",
+   "id": "4c1b32b8-5cbd-430b-81fd-957e3def5155",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import glob\n",
+    "from pathlib2 import Path\n",
+    "import openpyxl\n",
+    "\n",
+    "\n",
+    "filename = 'data/高新区.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "list1 = []\n",
+    "fi_path = 'file/130/20230424'\n",
+    "fl=glob.glob(f'{fi_path}/*.pdf')\n",
+    "print(len(fl))\n",
+    "for fn in fl:\n",
+    "    name = Path(fn).stem\n",
+    "    if name in dict1.keys():\n",
+    "        list1.append([name,dict1[name]['name']])\n",
+    "filename = 'data/高新报告明细表(20230424).xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "title = ['测试编号','姓名']\n",
+    "sheet.append(title)\n",
+    "for row in list1:\n",
+    "    sheet.append(row)\n",
+    "    \n",
+    "wb.save(filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2731b99f-8138-4e9e-baf0-c9c0c375f0eb",
+   "metadata": {},
+   "source": [
+    "### 报告分组重命名"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a9f5a1d4-4c01-4656-85f3-bdbf2776b69d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import os,sys,shutil\n",
+    "import json\n",
+    "import math\n",
+    "import openpyxl\n",
+    "\n",
+    "filename = 'data/高新区.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "list1 = []\n",
+    "list_bh = []\n",
+    "depart = []\n",
+    "dict2 = {}\n",
+    "for k, v in dict1.items():\n",
+    "    dict2.setdefault(k,{})    \n",
+    "   \n",
+    "    if 'unit' in v.keys():\n",
+    "        m_depart = v['unit']\n",
+    "    else:\n",
+    "        m_depart = '未明确部门'\n",
+    "    dict2[k]['unit'] = m_depart\n",
+    "    if m_depart not in depart:\n",
+    "        depart.append(m_depart)\n",
+    "    dict2[k]['name'] = v['name']\n",
+    "    \n",
+    "old = []\n",
+    "\n",
+    "        \n",
+    "fi_path = 'file/130/20230424'\n",
+    "\n",
+    "\n",
+    "# 创建部门办公室    \n",
+    "m_path = 'file/130/new'\n",
+    "for pn in depart:\n",
+    "    if not os.path.exists(m_path + '/' + pn):\n",
+    "        os.mkdir(m_path + '/' + pn)\n",
+    "fl=os.listdir(fi_path)\n",
+    "for fn in fl:\n",
+    "    if os.path.isfile(fi_path + '/' + fn):\n",
+    "        ofn = int(fn.split('.')[0])\n",
+    "        old.append(ofn) \n",
+    "old.sort()\n",
+    "for n in old:    \n",
+    "    o_name = f'{fi_path}/{n}.pdf'\n",
+    "    unit = dict2[str(n)]['unit']\n",
+    "    name = dict2[str(n)]['name']\n",
+    "    n_name = f'{m_path}/{unit}/{str(n).rjust(5,\"0\")}-{name}.pdf'\n",
+    "    #print(o_name,n_name)\n",
+    "    if not os.path.exists(n_name):\n",
+    "        shutil.copyfile(o_name,n_name)\n",
+    "        print(n_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "3d0268bb-8bce-4887-a745-077a62069675",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-04-25T07:52:40.990776Z",
+     "iopub.status.busy": "2023-04-25T07:52:40.989921Z",
+     "iopub.status.idle": "2023-04-25T07:52:41.056793Z",
+     "shell.execute_reply": "2023-04-25T07:52:41.055627Z",
+     "shell.execute_reply.started": "2023-04-25T07:52:40.990734Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import os,sys,shutil\n",
+    "import json\n",
+    "import math\n",
+    "import openpyxl\n",
+    "\n",
+    "filename = 'data/高新区.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "list1 = []\n",
+    "list_bh = []\n",
+    "depart = []\n",
+    "dict2 = {}\n",
+    "for k, v in dict1.items():\n",
+    "    dict2.setdefault(k,{})    \n",
+    "   \n",
+    "    if 'unit' in v.keys():\n",
+    "        m_depart = v['unit']\n",
+    "    else:\n",
+    "        m_depart = '未明确部门'\n",
+    "    dict2[k]['unit'] = m_depart\n",
+    "    if m_depart not in depart:\n",
+    "        depart.append(m_depart)\n",
+    "    dict2[k]['name'] = v['name']\n",
+    "    \n",
+    "old = []\n",
+    "\n",
+    "        \n",
+    "fi_path = 'file/130/20230424'\n",
+    "\n",
+    "\n",
+    "# 创建部门办公室    \n",
+    "m_path = 'file/130/new'\n",
+    "for pn in depart:\n",
+    "    if not os.path.exists(m_path + '/' + pn):\n",
+    "        os.mkdir(m_path + '/' + pn)\n",
+    "fl=os.listdir(fi_path)\n",
+    "for fn in fl:\n",
+    "    if os.path.isfile(fi_path + '/' + fn):\n",
+    "        ofn = int(fn.split('.')[0])\n",
+    "        old.append(ofn) \n",
+    "old.sort()\n",
+    "\n",
+    "for n in old:    \n",
+    "    o_name = f'{fi_path}/{n}.pdf'\n",
+    "    unit = dict2[str(n)]['unit']\n",
+    "    name = dict2[str(n)]['name']\n",
+    "    code = str(n).rjust(5,\"0\")\n",
+    "    list1.append([unit,code,name])\n",
+    "filename = 'data/高新报告打印明细表.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "title = ['部门','测试编号','姓名']\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": "f5910a5a-05a5-404f-b3e9-eca86226e244",
    "metadata": {},
    "outputs": [],
    "source": []

体测单位/燕山石化.ipynb

@@ -10,15 +10,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 110,
    "id": "1b92b7c5-cb77-49da-95b7-34827ecf1d16",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-24T10:05:01.926272Z",
+     "iopub.execute_input": "2023-04-25T10:41:09.138090Z",
-     "iopub.status.busy": "2023-04-24T10:05:01.925417Z",
+     "iopub.status.busy": "2023-04-25T10:41:09.137225Z",
-     "iopub.status.idle": "2023-04-24T10:05:04.468748Z",
+     "iopub.status.idle": "2023-04-25T10:41:11.696860Z",
-     "shell.execute_reply": "2023-04-24T10:05:04.467687Z",
+     "shell.execute_reply": "2023-04-25T10:41:11.695874Z",
-     "shell.execute_reply.started": "2023-04-24T10:05:01.926232Z"
+     "shell.execute_reply.started": "2023-04-25T10:41:09.138049Z"
     },
     "tags": []
    },
@@ -46,7 +46,11 @@
     "        code = int(sheet.cell(n, 1).value)\n",
     "        person.setdefault(code, {})\n",
     "        dict1 = {}\n",
-    "        dict1['name'] = sheet.cell(n, 2).value        \n",
+    "        dict1['name'] = sheet.cell(n, 2).value\n",
+    "        if sheet.cell(n, 7).value ==1:\n",
+    "            sex = '男'\n",
+    "        else:\n",
+    "            sex = '女'\n",
     "        dict1['sex'] = sheet.cell(n, 3).value\n",
     "        birth = str(sheet.cell(n, 6).value).split()[0]\n",
     "        dict1['birth'] = birth\n",
@@ -85,15 +89,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 111,
    "id": "71e1ec6a-6797-4496-969a-1d1461b9ea58",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-24T10:06:37.571983Z",
+     "iopub.execute_input": "2023-04-25T10:41:24.604593Z",
-     "iopub.status.busy": "2023-04-24T10:06:37.571077Z",
+     "iopub.status.busy": "2023-04-25T10:41:24.603754Z",
-     "iopub.status.idle": "2023-04-24T10:06:37.786825Z",
+     "iopub.status.idle": "2023-04-25T10:41:24.838577Z",
-     "shell.execute_reply": "2023-04-24T10:06:37.785861Z",
+     "shell.execute_reply": "2023-04-25T10:41:24.837823Z",
-     "shell.execute_reply.started": "2023-04-24T10:06:37.571941Z"
+     "shell.execute_reply.started": "2023-04-25T10:41:24.604553Z"
     },
     "tags": []
    },
@@ -102,10 +106,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "423\n",
+      "454\n",
-      "5593 刘安全 已测试！\n",
+      "454\n",
-      "423\n",
+      "3099\n"
-      "2645\n"
      ]
     }
    ],
@@ -128,7 +131,7 @@
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
     "\n",
-    "filename = 'data/places_result_20230424.csv'\n",
+    "filename = 'data/places_result_20230425.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -161,7 +164,7 @@
     "    else:\n",
     "        for k1,v1 in v.items():\n",
     "            dict2[k][k1] = v1\n",
-    "filename = 'data/result_燕山石化（20230424）.json'\n",
+    "filename = 'data/result_燕山石化（20230425）.json'\n",
     "with open(filename,'w') as fl:\n",
     "    json.dump(re_ta, fl, ensure_ascii=False) \n",
     "print(len(re_ta))\n",
@@ -181,15 +184,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 112,
    "id": "c24880ad-bbbd-4ad8-a894-cbcea389e822",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-24T10:08:16.575368Z",
+     "iopub.execute_input": "2023-04-25T10:41:45.914369Z",
-     "iopub.status.busy": "2023-04-24T10:08:16.574601Z",
+     "iopub.status.busy": "2023-04-25T10:41:45.913494Z",
-     "iopub.status.idle": "2023-04-24T10:08:16.751333Z",
+     "iopub.status.idle": "2023-04-25T10:41:46.098743Z",
-     "shell.execute_reply": "2023-04-24T10:08:16.750617Z",
+     "shell.execute_reply": "2023-04-25T10:41:46.098046Z",
-     "shell.execute_reply.started": "2023-04-24T10:08:16.575338Z"
+     "shell.execute_reply.started": "2023-04-25T10:41:45.914321Z"
     },
     "tags": []
    },
@@ -200,7 +203,7 @@
     "\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','车间','班组','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",
-    "filename = 'data/result_燕山石化（20230424）.json'\n",
+    "filename = 'data/result_燕山石化（20230425）.json'\n",
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl)\n",
     "\n",
@@ -225,7 +228,7 @@
     "        else:\n",
     "            list2.append('') \n",
     "    list1.append(list2)\n",
-    "filename = 'data/燕山石化体测情况表(20230424).xlsx'\n",
+    "filename = 'data/燕山石化体测情况表(20230425).xlsx'\n",
     "wb = openpyxl.Workbook()\n",
     "sheet = wb.active\n",
     "sheet.append(title)\n",
@@ -245,15 +248,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 113,
    "id": "68454877-f1fe-4eed-8a48-265e428f892e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-24T10:08:30.444506Z",
+     "iopub.execute_input": "2023-04-25T10:41:58.467679Z",
-     "iopub.status.busy": "2023-04-24T10:08:30.444058Z",
+     "iopub.status.busy": "2023-04-25T10:41:58.467274Z",
-     "iopub.status.idle": "2023-04-24T10:08:30.475858Z",
+     "iopub.status.idle": "2023-04-25T10:41:58.499250Z",
-     "shell.execute_reply": "2023-04-24T10:08:30.474801Z",
+     "shell.execute_reply": "2023-04-25T10:41:58.498205Z",
-     "shell.execute_reply.started": "2023-04-24T10:08:30.444476Z"
+     "shell.execute_reply.started": "2023-04-25T10:41:58.467652Z"
     },
     "tags": []
    },
@@ -262,7 +265,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'行政事务中心（离退中心）工会': 8, '热电厂工会': 1, '化学品厂工会': 55, '高科公司工会': 102, '炼油厂工会': 51, '有机化工厂工会': 131, '检验计量中心工会': 32, '物装中心工会': 2, '生产运行保障中心': 2, '烯烃厂工会': 6, '机关工会': 8, '合成树脂厂': 14, '消防中心工会': 2, '合成橡胶厂工会': 8, '储运厂工会': 1}\n"
+      "{'行政事务中心（离退中心）工会': 18, '炼油厂工会': 95, '化学品厂工会': 67, '高科公司工会': 109, '烯烃厂工会': 13, '有机化工厂工会': 98, '储运厂工会': 8, '检验计量中心工会': 16, '教育培训中心工会': 1, '合成橡胶厂工会': 10, '合成树脂厂': 10, '消防中心工会': 1, '生产运行保障中心': 1, '物装中心工会': 2, '机关工会': 5}\n"
      ]
     }
    ],
@@ -270,7 +273,7 @@
     "import json\n",
     "import openpyxl\n",
     "\n",
-    "filename = 'data/result_燕山石化（20230424）.json'\n",
+    "filename = 'data/result_燕山石化（20230425）.json'\n",
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl)\n",
     "dict2 = {}\n",
@@ -285,7 +288,7 @@
     "    list2 = []\n",
     "    list2 = [k,v]\n",
     "    list1.append(list2)\n",
-    "filename = 'data/燕山石化部门测试人数情况表(20230424).xlsx'\n",
+    "filename = 'data/燕山石化部门测试人数情况表(20230425).xlsx'\n",
     "wb = openpyxl.Workbook()\n",
     "sheet = wb.active\n",
     "sheet.append(title)\n",

体测单位/石家庄石化.ipynb

@@ -10,15 +10,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 29,
    "id": "9bd78072-29e5-4c98-8bbe-97f525cf9e4a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-21T09:29:30.178602Z",
+     "iopub.execute_input": "2023-04-26T09:21:52.196489Z",
-     "iopub.status.busy": "2023-04-21T09:29:30.177717Z",
+     "iopub.status.busy": "2023-04-26T09:21:52.195668Z",
-     "iopub.status.idle": "2023-04-21T09:29:30.928850Z",
+     "iopub.status.idle": "2023-04-26T09:21:52.973388Z",
-     "shell.execute_reply": "2023-04-21T09:29:30.927826Z",
+     "shell.execute_reply": "2023-04-26T09:21:52.972674Z",
-     "shell.execute_reply.started": "2023-04-21T09:29:30.178561Z"
+     "shell.execute_reply.started": "2023-04-26T09:21:52.196448Z"
     },
     "tags": []
    },
@@ -72,15 +72,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 31,
    "id": "dd3c65ea-cc8a-4f1b-8698-d1799f99e101",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-24T09:55:49.171204Z",
+     "iopub.execute_input": "2023-04-26T09:36:18.999273Z",
-     "iopub.status.busy": "2023-04-24T09:55:49.170336Z",
+     "iopub.status.busy": "2023-04-26T09:36:18.998427Z",
-     "iopub.status.idle": "2023-04-24T09:55:49.259229Z",
+     "iopub.status.idle": "2023-04-26T09:36:19.081109Z",
-     "shell.execute_reply": "2023-04-24T09:55:49.258337Z",
+     "shell.execute_reply": "2023-04-26T09:36:19.080378Z",
-     "shell.execute_reply.started": "2023-04-24T09:55:49.171161Z"
+     "shell.execute_reply.started": "2023-04-26T09:36:18.999232Z"
     },
     "tags": []
    },
@@ -89,7 +89,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "478\n",
+      "454\n",
       "ok\n"
      ]
     }
@@ -113,7 +113,7 @@
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
     "\n",
-    "filename = 'data/places_result_20230424-sjz.csv'\n",
+    "filename = 'data/places_result_20230426-sjz.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -135,7 +135,7 @@
     "        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_石家庄（20230424）.json'\n",
+    "filename = 'data/result_石家庄（20230426）.json'\n",
     "with open(filename,'w') as fl:\n",
     "    json.dump(re_ta, fl) \n",
     "print('ok')"
@@ -151,15 +151,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 32,
    "id": "97d86ce2-6664-41a1-89d2-ddaa0611bac1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-24T09:56:59.802126Z",
+     "iopub.execute_input": "2023-04-26T09:37:10.787453Z",
-     "iopub.status.busy": "2023-04-24T09:56:59.801454Z",
+     "iopub.status.busy": "2023-04-26T09:37:10.786596Z",
-     "iopub.status.idle": "2023-04-24T09:57:00.013623Z",
+     "iopub.status.idle": "2023-04-26T09:37:10.924736Z",
-     "shell.execute_reply": "2023-04-24T09:57:00.012990Z",
+     "shell.execute_reply": "2023-04-26T09:37:10.923992Z",
-     "shell.execute_reply.started": "2023-04-24T09:56:59.802093Z"
+     "shell.execute_reply.started": "2023-04-26T09:37:10.787410Z"
     },
     "tags": []
    },
@@ -170,7 +170,7 @@
     "\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','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",
-    "filename = 'data/result_石家庄（20230424）.json'\n",
+    "filename = 'data/result_石家庄（20230426）.json'\n",
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl)\n",
     "\n",
@@ -194,7 +194,7 @@
     "        else:\n",
     "            list2.append('') \n",
     "    list1.append(list2)\n",
-    "filename = 'data/石家庄石化体测情况表(20230424).xlsx'\n",
+    "filename = 'data/石家庄石化体测情况表(20230426).xlsx'\n",
     "wb = openpyxl.Workbook()\n",
     "sheet = wb.active\n",
     "sheet.append(title)\n",
@@ -214,15 +214,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 33,
    "id": "e2b68cb1-3a6f-4b51-afbd-d6c9634348b1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-24T09:40:17.019067Z",
+     "iopub.execute_input": "2023-04-26T09:38:27.401785Z",
-     "iopub.status.busy": "2023-04-24T09:40:17.018180Z",
+     "iopub.status.busy": "2023-04-26T09:38:27.401110Z",
-     "iopub.status.idle": "2023-04-24T09:40:17.154594Z",
+     "iopub.status.idle": "2023-04-26T09:38:27.597084Z",
-     "shell.execute_reply": "2023-04-24T09:40:17.153693Z",
+     "shell.execute_reply": "2023-04-26T09:38:27.596368Z",
-     "shell.execute_reply.started": "2023-04-24T09:40:17.019024Z"
+     "shell.execute_reply.started": "2023-04-26T09:38:27.401745Z"
     },
     "tags": []
    },
@@ -231,7 +231,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1200\n",
+      "2140\n",
       "ok\n"
      ]
     }
@@ -255,7 +255,7 @@
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
     "\n",
-    "filename = 'data/places_result_20230424-sjz.csv'\n",
+    "filename = 'data/places_result_20230426-sjzall.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -293,23 +293,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 35,
    "id": "57b22a08-554b-4b23-b98c-002b4608729f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-24T09:40:43.681959Z",
+     "iopub.execute_input": "2023-04-26T09:42:34.825177Z",
-     "iopub.status.busy": "2023-04-24T09:40:43.681329Z",
+     "iopub.status.busy": "2023-04-26T09:42:34.824747Z",
-     "iopub.status.idle": "2023-04-24T09:40:43.726717Z",
+     "iopub.status.idle": "2023-04-26T09:42:34.875587Z",
-     "shell.execute_reply": "2023-04-24T09:40:43.725677Z",
+     "shell.execute_reply": "2023-04-26T09:42:34.874720Z",
-     "shell.execute_reply.started": "2023-04-24T09:40:43.681925Z"
+     "shell.execute_reply.started": "2023-04-26T09:42:34.825140Z"
-    }
+    },
+    "tags": []
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'综合办公室（党委办公室）': 16, '销运管理部': 36, '企业管理部（法律事务部）': 12, '合资运行部': 22, '消防支队': 30, '设备工程部': 43, '党群文化部（宣传工团）': 9, '检验计量中心': 107, '发展计划部计划组': 8, '物资采购中心': 31, '炼油运行一部': 61, '审计管理部': 6, '发展计划部发展规划组': 11, '财务管理部': 16, '生产技术部': 26, '党委组织部（资源管理部）': 7, '安全环保部': 20, '储运运行部': 95, '化工运行部': 126, '信息中心': 14, '热电运行部': 48, '炼油运行三部': 52, '行政事务中心': 24, '电气仪表中心': 76, '炼油运行五部': 59, '水务运行部': 82, '编组站': 22, '炼油运行二部': 52, '炼油运行四部': 87, '纪委（监督部）': 2}\n"
+      "{'综合办公室（党委办公室）': 19, '销运管理部': 41, '企业管理部（法律事务部）': 12, '合资运行部': 27, '消防支队': 39, '设备工程部': 44, '党群文化部（宣传工团）': 9, '检验计量中心': 180, '发展计划部计划组': 11, '物资采购中心': 52, '炼油运行一部': 112, '审计管理部': 6, '发展计划部发展规划组': 12, '财务管理部': 18, '生产技术部': 35, '党委组织部（资源管理部）': 16, '安全环保部': 26, '储运运行部': 151, '化工运行部': 267, '信息中心': 18, '热电运行部': 92, '炼油运行三部': 127, '行政事务中心': 45, '电气仪表中心': 196, '炼油运行五部': 120, '水务运行部': 133, '编组站': 49, '炼油运行二部': 113, '炼油运行四部': 168, '纪委（监督部）': 2}\n"
      ]
     }
    ],
@@ -332,7 +333,7 @@
     "    list2 = []\n",
     "    list2 = [k,v]\n",
     "    list1.append(list2)\n",
-    "filename = 'data/石家庄测试名单部门情况(20230424).xlsx'\n",
+    "filename = 'data/石家庄测试名单部门情况(20230426).xlsx'\n",
     "wb = openpyxl.Workbook()\n",
     "sheet = wb.active\n",
     "sheet.append(title)\n",
@@ -351,15 +352,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 34,
    "id": "0001a577-3d89-4e3d-be07-51cc74e3640f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-04-24T09:41:20.642552Z",
+     "iopub.execute_input": "2023-04-26T09:39:12.083561Z",
-     "iopub.status.busy": "2023-04-24T09:41:20.641713Z",
+     "iopub.status.busy": "2023-04-26T09:39:12.083234Z",
-     "iopub.status.idle": "2023-04-24T09:41:20.758674Z",
+     "iopub.status.idle": "2023-04-26T09:39:12.148788Z",
-     "shell.execute_reply": "2023-04-24T09:41:20.757988Z",
+     "shell.execute_reply": "2023-04-26T09:39:12.147956Z",
-     "shell.execute_reply.started": "2023-04-24T09:41:20.642510Z"
+     "shell.execute_reply.started": "2023-04-26T09:39:12.083534Z"
     },
     "tags": []
    },
@@ -378,7 +379,7 @@
     "for k, v in dict2.items():\n",
     "    if k not in dict1.keys():\n",
     "        list1.append([k,v['name'],v['unit']])\n",
-    "filename = 'data/石家庄未测试名单(截至20230424).xlsx'\n",
+    "filename = 'data/石家庄未测试名单(截至20230426).xlsx'\n",
     "wb = openpyxl.Workbook()\n",
     "sheet = wb.active\n",
     "title =['测试编号','姓名','单位']\n",

体测单位/长炼医院.ipynb

@@ -0,0 +1,305 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d4d999fe-4890-4a14-b1e8-52dbd6d42e73",
+   "metadata": {},
+   "source": [
+    "## 导入人员信息"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "3154fc8c-0e91-4cda-ba75-666dc7bbb34d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-04-26T02:09:17.305567Z",
+     "iopub.status.busy": "2023-04-26T02:09:17.304661Z",
+     "iopub.status.idle": "2023-04-26T02:09:17.783758Z",
+     "shell.execute_reply": "2023-04-26T02:09:17.782874Z",
+     "shell.execute_reply.started": "2023-04-26T02:09:17.305525Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/student_20140922长炼医院监测花名册.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, 4).value)\n",
+    "        person.setdefault(code, {})\n",
+    "        dict1 = {}\n",
+    "        dict1['name'] = sheet.cell(n, 6).value\n",
+    "        if int(sheet.cell(n, 7).value) ==1:\n",
+    "            sex = '男'\n",
+    "        else:\n",
+    "            sex = '女'\n",
+    "        dict1['sex'] = sex\n",
+    "        birth = str(sheet.cell(n, 8).value).split()[0]\n",
+    "        dict1['birth'] = birth\n",
+    "        dict1['unit'] = sheet.cell(n, 3).value\n",
+    "        person[code] = dict1\n",
+    "filename = 'data/长炼医院人员名单.json'\n",
+    "with open(filename, 'w') as fl:\n",
+    "    json.dump(person, fl, ensure_ascii=False)\n",
+    "print('ok')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96d5b4bd-4198-4725-9005-070ac4e4f324",
+   "metadata": {},
+   "source": [
+    "## 每日成绩导入"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "4b52477e-926a-44b5-b8a0-20bff98d101d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-04-26T02:03:49.859631Z",
+     "iopub.status.busy": "2023-04-26T02:03:49.858701Z",
+     "iopub.status.idle": "2023-04-26T02:03:49.891420Z",
+     "shell.execute_reply": "2023-04-26T02:03:49.890351Z",
+     "shell.execute_reply.started": "2023-04-26T02:03:49.859588Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "6\n",
+      "6\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/长炼医院人员名单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "rq = '20230425'\n",
+    "filename = f'data/places_result_{rq}.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",
+    "\n",
+    "filename = f'data/result_长炼医院（{rq}).json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl, ensure_ascii=False) \n",
+    "print(len(re_ta))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "033cc564-4aa9-4e88-b38b-ec62a02b1661",
+   "metadata": {},
+   "outputs": [],
+   "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/燕山石化人员名单.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "rq = '20230425'\n",
+    "filename = f'data/places_result_{rq}.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_长炼医院.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl)\n",
+    "for k in re_ta.keys():\n",
+    "    if k in dict2.keys():\n",
+    "        print(k,dict2[k]['name'],'已测试！')\n",
+    "for k, v in re_ta.items():\n",
+    "    if k not in dict2.keys():\n",
+    "        dict2[k] = v\n",
+    "    else:\n",
+    "        for k1,v1 in v.items():\n",
+    "            dict2[k][k1] = v1\n",
+    "filename = f'data/result_长炼医院（{rq}）.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl, ensure_ascii=False) \n",
+    "print(len(re_ta))\n",
+    "filename = 'data/result_长炼医院.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(dict2, fl, ensure_ascii=False) \n",
+    "print(len(dict2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f220ffba-d172-4b6f-8238-c3a2d6c87ed4",
+   "metadata": {},
+   "source": [
+    "## 每日成绩导出"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "2ffa583b-be51-40a8-bb55-de6a89d1a54a",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-04-26T02:09:54.362083Z",
+     "iopub.status.busy": "2023-04-26T02:09:54.361227Z",
+     "iopub.status.idle": "2023-04-26T02:09:54.389991Z",
+     "shell.execute_reply": "2023-04-26T02:09:54.388984Z",
+     "shell.execute_reply.started": "2023-04-26T02:09:54.362051Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import openpyxl\n",
+    "\n",
+    "rq = '20230425'\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','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",
+    "filename = f'data/result_长炼医院（{rq}).json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "filename = 'data/长炼医院人员名单.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 = f'data/长炼医院体测情况表({rq}).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": "ec011c39-f6b1-40d5-b95e-bc59b7a51058",
+   "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": "3.10.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}