20231106

体测单位/北海炼化.ipynb

@@ -4,12 +4,11 @@
    "cell_type": "markdown",
    "id": "1c72f0cf-165b-4025-af9d-6771e4a0a5d1",
    "metadata": {
-    "jp-MarkdownHeadingCollapsed": true,
     "tags": [],
     "toc-hr-collapsed": true
    },
    "source": [
-    "## 2022年体质检测"
+    "# 2022年体质检测"
    ]
   },
   {
@@ -643,7 +642,15 @@
    "id": "c103301b-d540-4bf5-861a-0eb2e313e26e",
    "metadata": {},
    "source": [
-    "## 2023年体质检测"
+    "# 2023年体质检测"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ab2aa22-5cc2-4f53-a28d-b30b1ecab15f",
+   "metadata": {},
+   "source": [
+    "## 人员信息处理"
    ]
   },
   {
@@ -1086,10 +1093,120 @@
     "wb.save(filename)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e613feb8-b03d-4afc-aa56-c91d80903a22",
+   "metadata": {},
+   "source": [
+    "### 生成人员信息"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "0bafbf66-c909-413e-a9c1-c1a5f9c22953",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-11-06T02:24:15.934701Z",
+     "iopub.status.busy": "2023-11-06T02:24:15.934225Z",
+     "iopub.status.idle": "2023-11-06T02:24:16.060592Z",
+     "shell.execute_reply": "2023-11-06T02:24:16.060193Z",
+     "shell.execute_reply.started": "2023-11-06T02:24:15.934664Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/北海炼化人员信息（2023年）.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "person = {}\n",
+    "\n",
+    "for n in range(2, sheet.max_row+1):\n",
+    "    code = int(sheet.cell(n, 1).value)\n",
+    "    person.setdefault(code, {})\n",
+    "    dict1 = {}\n",
+    "    dict1['name'] = sheet.cell(n, 2).value\n",
+    "    dict1['sex'] = sheet.cell(n, 3).value\n",
+    "    dict1['unit'] = sheet.cell(n, 4).value\n",
+    "    dict1['birth'] = sheet.cell(n,5).value\n",
+    "    dict1['phone'] = sheet.cell(n,6).value\n",
+    "    person[code] = dict1\n",
+    "filename = 'data/北海炼化2023年.json'\n",
+    "with open(filename, 'w') as fl:\n",
+    "    json.dump(person, fl, ensure_ascii=False)\n",
+    "print('ok')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b373563f-0b78-4d37-9428-89d3f4e04883",
+   "metadata": {},
+   "source": [
+    "## 生成读卡系统文件"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "ff1e0a37-6119-4f64-8e05-4d25cb144817",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-11-06T02:24:19.656268Z",
+     "iopub.status.busy": "2023-11-06T02:24:19.655917Z",
+     "iopub.status.idle": "2023-11-06T02:24:19.664523Z",
+     "shell.execute_reply": "2023-11-06T02:24:19.664185Z",
+     "shell.execute_reply.started": "2023-11-06T02:24:19.656254Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "\n",
+    "filename = 'data/北海炼化2023年.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "list1 = []\n",
+    "for k, v in dict1.items():\n",
+    "    dict2 = {}\n",
+    "    #if dict1['sex'] =='男':\n",
+    "    #    sex = 1\n",
+    "    \n",
+    "    dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
+    "    list1.append(dict2)\n",
+    "json_data = json.dumps(list1,ensure_ascii=False, indent=4)  \n",
+    "\n",
+    "# 将 json 数据写入文件\n",
+    "with open(\"data/data_北海炼化.json\", \"w\",encoding = 'utf-8') as file:\n",
+    "    file.write(json_data)   \n",
+    "print('ok')"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0bafbf66-c909-413e-a9c1-c1a5f9c22953",
+   "id": "43af17bf-d80a-4c04-8bb3-25c192c9443f",
    "metadata": {},
    "outputs": [],
    "source": []