{ "cells": [ { "cell_type": "markdown", "id": "f501bde1-90cb-40c4-9dd4-533c27f81be5", "metadata": { "tags": [] }, "source": [ "# 调查报告线下数据管理" ] }, { "cell_type": "markdown", "id": "ced4bf30-e7ea-4c4c-ae46-8720ffc07a76", "metadata": {}, "source": [ "## 羊庙人员信息导入" ] }, { "cell_type": "code", "execution_count": null, "id": "9b2b755e-049e-48c5-87d3-dd37dceb59fe", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "\n", "filename = 'data/羊庙测试人员信息.json'\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", "for k,v in dict1.items():\n", " for item in v:\n", " bh = item['avatar_id']\n", " del item['avatar_id']\n", " dict2[bh] = item\n", "filename = 'data/羊庙人员名单.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(dict2, fl, ensure_ascii=False,default=str)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "00e9f538-c0f5-46a0-b768-51480ad3fbaf", "metadata": {}, "source": [ "## 获取参加体测人员编号" ] }, { "cell_type": "code", "execution_count": null, "id": "d89e0e5e-0782-40a3-bba3-862cc9865d4e", "metadata": { "tags": [] }, "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", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/140.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", "list2 = []\n", "for result in list1:\n", " user = int(result[2])\n", " if user not in list2:\n", " list2.append(user)\n", "list2.sort()\n", "print(len(list2))\n", "print(list2)" ] }, { "cell_type": "markdown", "id": "2c48f588-135a-4d1a-b01e-96222b70b987", "metadata": {}, "source": [ "## 根据风险筛选统计卡获取信息" ] }, { "cell_type": "code", "execution_count": null, "id": "e76837e8-cdf4-41e0-9d51-6ae5223de813", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "import time\n", "\n", "wb = openpyxl.load_workbook('data/杨庙运动风险筛查统计表.xlsx')\n", "sheet = wb.active\n", "person = {}\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", " if sheet.cell(n, 8).value is not None:\n", " name = sheet.cell(n, 8).value\n", " else:\n", " name ='不详'\n", " dict1['name'] = name\n", " if sheet.cell(n, 9).value is not None:\n", " dict1['birth'] = str(sheet.cell(n, 9).value).split(' ')[0]\n", " if sheet.cell(n, 10).value is not None:\n", " dict1['phone'] = str(sheet.cell(n, 10).value)\n", " if sheet.cell(n,11).value is not None:\n", " dict1['id_num'] = sheet.cell(n,11).value\n", " person[code] = dict1\n", "print(len(person))\n", "filename = 'data/杨庙运动风险筛查统计表信息.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False,default=str)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "6cc6b614-85e2-43fd-bc97-301fc776fe29", "metadata": {}, "source": [ "## 根据恢复版获取信息" ] }, { "cell_type": "code", "execution_count": null, "id": "1293cdaa-1fdf-43a5-99ce-a031a76f6688", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "import time\n", "\n", "wb = openpyxl.load_workbook('data/羊庙恢复版.xlsx')\n", "sheet = wb.active\n", "person = {}\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n, 4).value is not None: \n", " code = int(sheet.cell(n, 4).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " name = sheet.cell(n, 5).value\n", " dict1['name'] = name\n", " dict1['bh'] = n - 1\n", " dict1['sex'] = sheet.cell(n, 6).value\n", " if sheet.cell(n, 9).value is not None:\n", " dict1['phone'] = str(sheet.cell(n, 9).value)\n", " if sheet.cell(n,8).value is not None:\n", " dict1['id_num'] = sheet.cell(n,8).value\n", " if sheet.cell(n,3).value is not None:\n", " dict1['unit'] = sheet.cell(n,3).value\n", " person[code] = dict1\n", "print(len(person))\n", "filename = 'data/杨庙恢复版信息.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False,default=str)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "de1ce95b-4590-4eee-bd51-d37beabd6f87", "metadata": {}, "source": [ "## 风险筛选统计卡可用人员信息" ] }, { "cell_type": "code", "execution_count": null, "id": "f21fff31-0da6-4c1a-bf7c-8c4a1d4a3ecf", "metadata": { "tags": [] }, "outputs": [], "source": [ "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/140.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", "list2 = []\n", "for result in list1:\n", " user = int(result[2])\n", " if user not in list2:\n", " list2.append(user)\n", "list2.sort()\n", "set1 = set()\n", "filename = 'data/杨庙恢复版信息.json'\n", "with open(filename,'r') as fl:\n", " dict_base = json.load(fl)\n", "for k, v in dict_base.items():\n", " set1.add(int(k))\n", "filename = 'data/杨庙运动风险筛查统计表信息.json'\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list_fx = []\n", "\n", "for k,v in dict1.items():\n", " \n", " if int(k) in list2 and k not in dict_base.keys() and v['name'] != '不详': \n", " set1.add(int(k))\n", "#print(len(list_fx))\n", "#print(len(set1)) \n", "for item in list2:\n", " if item not in set1:\n", " print(item)" ] }, { "cell_type": "markdown", "id": "b08187a6-41d9-40ec-bc62-d99969148fe7", "metadata": {}, "source": [ "## 补充恢复版信息" ] }, { "cell_type": "code", "execution_count": null, "id": "50a5e0f9-3850-48ac-9f3a-f5a7be51a7fd", "metadata": { "tags": [] }, "outputs": [], "source": [ "filename = 'data/杨庙恢复版信息.json'\n", "with open(filename,'r') as fl:\n", " dict_base = json.load(fl)\n", "for k, v in dict_base.items():\n", " set1.add(int(k))\n", "filename = 'data/杨庙运动风险筛查统计表信息.json'\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "for k,v in dict_base.items():\n", " if k in dict1.keys() and 'phone' not in v.keys() and 'phone' in dict1[k].keys():\n", " #print(k,v['name'])\n", " dict_base[k]['phone'] = dict1[k]['phone']\n", "\n", "for k, v in dict1.items():\n", " if int(k) in list2 and k not in dict_base.keys():\n", " dict_base[k] = v\n", " \n", "print(len(dict_base))\n", "#print(dict_base)\n", "filename = 'data/羊庙人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "i = 1\n", "for k, v in dict_base.items():\n", " if 'bh' not in v.keys():\n", " name = v['name']\n", " n = 0\n", " for k1,v1 in dict2.items():\n", " if name == v1['name']:\n", " bh = k1\n", " n = n+1\n", " if n ==1:\n", " dict_base[k]['bh'] = bh\n", " else:\n", " print(i,k,v['name'])\n", " i+=1\n", "filename = 'data/杨庙补充汇总信息.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(dict_base, fl, ensure_ascii=False,default=str)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "41c81dfc-ee3a-4934-8f02-077e3f07e5fc", "metadata": {}, "source": [ "## 导出汇总信息" ] }, { "cell_type": "code", "execution_count": null, "id": "1106fa5d-f0dd-4af4-bc39-7b106786b438", "metadata": { "tags": [] }, "outputs": [], "source": [ "filename = 'data/杨庙补充汇总信息.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list_item = ['name','bh','sex','phone','unit','id_num']\n", "list_data = []\n", "\n", "for k, v in dict1.items():\n", " list_mx = []\n", " list_mx.append(k)\n", " for item in list_item:\n", " if item in v.keys():\n", " list_mx.append(v[item])\n", " else:\n", " list_mx.append('')\n", " list_data.append(list_mx)\n", "#print(list_data) \n", "filename = 'data/羊庙汇总情况表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "#sheet.append(title)\n", "for row in list_data:\n", " sheet.append(row)\n", " \n", "wb.save(filename) \n", "print('ok!')" ] }, { "cell_type": "markdown", "id": "d31fa9b7-26d8-4101-94d1-f41723428aa9", "metadata": {}, "source": [ "## 成年问卷导入" ] }, { "cell_type": "code", "execution_count": null, "id": "dc20aabb-3942-49b9-8841-8e8a0823033a", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/羊庙问卷统计表（成年组）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "\n", "dict1 = {}\n", "no_xinli = [108,389,268,270]\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "list_bh = data1[0][1:]\n", "del data1[0]\n", "print(len(list_bh))\n", "for i in range(1,len(list_bh)+1):\n", " list2 = []\n", " \n", " for item in data1:\n", " list2.append(item[i])\n", " dict1[list_bh[i-1]] = list2\n", "for k, v in dict1.items():\n", " #if 0 in v:\n", " # print(k)\n", " if str(k) not in dict2.keys():\n", " print(k,'不在清理名单中')\n", "\n", "#print(dict1)" ] }, { "cell_type": "markdown", "id": "9a38f22b-6a8c-422f-a706-07382ccaceda", "metadata": {}, "source": [ "## 成年问卷导出" ] }, { "cell_type": "code", "execution_count": null, "id": "2c84736a-b6cc-43d6-9407-ead6300748a5", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/羊庙问卷统计表（成年组）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "list_bh = []\n", "no_xinli = [108,389,268,270]\n", "zy = [2,7,9,11,12,21,24]\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "list_bh = data1[0][1:]\n", "del data1[0]\n", "\n", "\n", "for i in range(1,len(list_bh)+1):\n", " list2 = []\n", " \n", " for item in data1:\n", " list2.append(item[i])\n", " dict1[list_bh[i-1]] = list2\n", "#print(dict1)\n", "s = ''\n", "for k,v in dict1.items():\n", " if str(k) in dict3.keys(): \n", " if dict3[str(k)]['sex'] ==1:\n", " sex = \"m\"\n", " else:\n", " sex = \"f\"\n", " dict2 = {}\n", " list_mx = []\n", " list_mx.append(f'\"Gender\":\"{sex}\"')\n", " list_mx.append(f'\"Age\":\"M\"')\n", " dict2['surveyId'] = \"merge1\"\n", " dict2['name'] = dict3[str(k)]['name'] \n", " name = dict3[str(k)]['name'] \n", " dict2['code'] = str(k)\n", " ss = ''\n", " \n", " if k not in no_xinli:\n", " for i in range(0,47):\n", " list_mx.append(f'\"q{i+1}M\":{v[i]}') \n", " \n", " for i in range(1,61):\n", " if i not in zy:\n", " list_mx.append(f'\"q{i}\":{v[46+i]}')\n", " for i in range(1,27):\n", " list_mx.append(f'\"qv{i}\":{v[106+i]}')\n", " ss = ','.join(list_mx)\n", " ss ='{'+ss+'}'\n", " dict2['data'] = ss\n", " sj = '2023-03-28 20:02:00'\n", " s= s+f'(\"merge1\",\"{name}\",\"{str(k)}\",\\'{ss}\\',\"{sj}\"),'\n", " #print(dict2)\n", "print(s)" ] }, { "cell_type": "markdown", "id": "75dda87e-804e-42ba-b1a4-08c8a8b65050", "metadata": {}, "source": [ "## 老年问卷导入" ] }, { "cell_type": "code", "execution_count": null, "id": "09a354e6-a07a-40b8-9b8c-3499fb0b7c28", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/羊庙问卷统计表（老年组）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "dict3 = {}\n", "no_xinli = [286]\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "list_bh = data1[0][1:]\n", "print(list_bh)\n", "del data1[0]\n", "print(len(list_bh))\n", "for i in range(1,len(list_bh)+1):\n", " list2 = []\n", " \n", " for item in data1:\n", " list2.append(item[i])\n", " dict1[list_bh[i-1]] = list2\n", "for k, v in dict1.items():\n", " #if 0 in v or ' ' in v:\n", " # print(k)\n", " if str(k) not in dict2.keys():\n", " print(k,'不在清理名单中')\n", "#print(dict1)" ] }, { "cell_type": "markdown", "id": "e2e311b1-7436-49e3-bf52-93c38f088be1", "metadata": {}, "source": [ "## 老年问卷导出" ] }, { "cell_type": "code", "execution_count": null, "id": "f41e130b-06e5-45ee-bf3d-cc25dfcc653d", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "wb = openpyxl.load_workbook('data/羊庙问卷统计表（老年组）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "\n", "no_xinli = [286]\n", "sheet = wb.active\n", "data1 =list(sheet.values)\n", "list_bh = data1[0][1:]\n", "#print(list_bh)\n", "del data1[0]\n", "\n", "for i in range(1,len(list_bh)+1):\n", " list2 = []\n", " \n", " for item in data1:\n", " list2.append(item[i])\n", " dict1[list_bh[i-1]] = list2\n", "#print(dict1)\n", "s = ''\n", "for k,v in dict1.items():\n", " if str(k) in dict3.keys(): \n", " if dict3[str(k)]['sex'] ==1:\n", " sex = \"m\"\n", " else:\n", " sex = \"f\"\n", " dict2 = {}\n", " list_mx = []\n", " list_mx.append(f'\"Gender\":\"{sex}\"')\n", " list_mx.append(f'\"Age\":\"O\"')\n", " dict2['surveyId'] = \"merge1\"\n", " dict2['name'] = dict3[str(k)]['name'] \n", " dict2['code'] = str(k) \n", " name = dict3[str(k)]['name'] \n", " if k not in no_xinli:\n", " for i in range(0,30):\n", " list_mx.append(f'\"q{i+1}O\":{v[i]}') \n", " \n", " for i in range(1,61):\n", " if i not in zy:\n", " list_mx.append(f'\"q{i}\":{v[29+i]}')\n", " for i in range(1,27):\n", " list_mx.append(f'\"qv{i}\":{v[89+i]}')\n", " ss = ','.join(list_mx)\n", " ss ='{'+ss+'}'\n", " dict2['data'] = ss\n", " sj = '2023-03-28 20:02:00'\n", " s= s+f'(\"merge1\",\"{name}\",\"{str(k)}\",\\'{ss}\\',\"{sj}\"),'\n", " #print(dict2)\n", "print(s)" ] }, { "cell_type": "markdown", "id": "3262d713-92a4-4790-81a3-976ff308ee3d", "metadata": {}, "source": [ "## 统计网络问卷信息" ] }, { "cell_type": "code", "execution_count": null, "id": "08980670-fda9-4660-a619-2f5f5ed8d334", "metadata": { "tags": [] }, "outputs": [], "source": [ "filename = 'data/merge1.json'\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "#print(dict1)\n", "filename = 'data/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "dict3 = {}\n", "for k, v in dict1.items():\n", " print(len(v))\n", " for item in v:\n", " phone = item['phone']\n", " dict3.setdefault(phone,{})\n", " #dict3[phone]['data'] = v['data']\n", " for k1,v1 in dict2.items():\n", " if 'phone' in v1.keys() and phone == v1['phone']:\n", " dict3[phone]['bh'] = k1\n", "print(dict3)\n", "for k, v in dict2.items():\n", " for k1, v1 in dict2.items():\n", " \n", " if 'bh' not in v.keys():\n", " print(k)" ] }, { "cell_type": "markdown", "id": "e06b0149-c1ff-4fd0-b692-1be391433f40", "metadata": {}, "source": [ "# 按照测试编号管理" ] }, { "cell_type": "markdown", "id": "54c8e75c-6d3a-4b0d-91a1-c5e9e79a119f", "metadata": {}, "source": [ "## 导入测试人员信息表（符合条件）" ] }, { "cell_type": "code", "execution_count": 1, "id": "b51b73fa-97fa-473c-ab8a-d1fd958eb52a", "metadata": { "execution": { "iopub.execute_input": "2023-03-29T00:18:26.048784Z", "iopub.status.busy": "2023-03-29T00:18:26.047970Z", "iopub.status.idle": "2023-03-29T00:18:26.267055Z", "shell.execute_reply": "2023-03-29T00:18:26.266257Z", "shell.execute_reply.started": "2023-03-29T00:18:26.048741Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "import time\n", "\n", "wb = openpyxl.load_workbook('data/杨庙体测明确人员信息表（20230328）.xlsx')\n", "sheet = wb.active\n", "person = {}\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", " name = sheet.cell(n, 2).value \n", " dict1['name'] = name\n", " dict1['sex'] = sheet.cell(n, 3).value\n", " dict1['birth'] = str(sheet.cell(n, 4).value).split(' ')[0]\n", " if sheet.cell(n, 5).value is not None:\n", " dict1['phone'] = str(sheet.cell(n, 5).value)\n", " if sheet.cell(n,6).value is not None:\n", " dict1['unit'] = sheet.cell(n,6).value \n", " person[code] = dict1\n", "filename = 'data/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False,default=str)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "cc0c1a86-e15f-43e9-99e9-140aed8475bf", "metadata": {}, "source": [ "## 体测报告更名按部门分组" ] }, { "cell_type": "code", "execution_count": 10, "id": "ac3bb674-77e2-4edb-aae7-7b589c8d9b5a", "metadata": { "execution": { "iopub.execute_input": "2023-03-29T02:59:45.489205Z", "iopub.status.busy": "2023-03-29T02:59:45.488318Z", "iopub.status.idle": "2023-03-29T02:59:46.069036Z", "shell.execute_reply": "2023-03-29T02:59:46.068298Z", "shell.execute_reply.started": "2023-03-29T02:59:45.489163Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ 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"file/140/南范村/00303-王玉枝.pdf\n", "file/140/西韩村/00305-韩春光.pdf\n", "file/140/西韩村/00306-许洪奎.pdf\n", "file/140/未明确/00307-程潍芳.pdf\n", "file/140/小街村/00308-刘玉娥.pdf\n", "file/140/罗盖村/00309-罗炳花.pdf\n", "file/140/未明确/00310-盖长修.pdf\n", "file/140/未明确/00313-王祝娥.pdf\n", "file/140/未明确/00314-程伯银.pdf\n", "file/140/新李村/00315-盖学忠.pdf\n", "file/140/杨庙村/00316-程泽旭.pdf\n", "file/140/杨庙村/00317-程建国.pdf\n", "file/140/罗盖村/00318-盖利民.pdf\n", "file/140/罗盖村/00319-张学敏.pdf\n", "file/140/罗盖村/00320-盖引.pdf\n", "file/140/罗盖村/00321-杨霞.pdf\n", "file/140/罗盖村/00322-胡秀兰.pdf\n", "file/140/杨庙村/00323-程田.pdf\n", "file/140/罗盖村/00324-史贞花.pdf\n", "file/140/前许村/00325-李福荣.pdf\n", "file/140/罗盖村/00326-王娜林.pdf\n", "file/140/未明确/00327-魏希罕.pdf\n", "file/140/未明确/00328-崔友秀.pdf\n", "file/140/西韩村/00329-韩秀山.pdf\n", "file/140/前许村/00330-李友秀.pdf\n", "file/140/罗盖村/00331-王振芳.pdf\n", "file/140/杨庙村/00332-杨秀英.pdf\n", "file/140/北范村/00333-程少荣.pdf\n", "file/140/东范村/00334-赵爱华.pdf\n", "file/140/东范村/00335-李建文.pdf\n", "file/140/南范村/00336-王秀珍.pdf\n", "file/140/东范村/00337-李金花.pdf\n", "file/140/小街村/00340-程美.pdf\n", "file/140/前许村/00342-许建峰.pdf\n", "file/140/罗盖村/00343-韩立花.pdf\n", "file/140/新李村/00344-盖克怀.pdf\n", "file/140/北范村/00345-崔振南.pdf\n", "file/140/未明确/00346-韩翠荣.pdf\n", "file/140/未明确/00347-刘慧丽.pdf\n", "file/140/未明确/00348-李树兰.pdf\n", "file/140/未明确/00349-刘跃芹.pdf\n", "file/140/未明确/00351-魏小变.pdf\n", "file/140/未明确/00352-魏建军.pdf\n", "file/140/未明确/00353-韩英廷.pdf\n", "file/140/未明确/00354-刘志强.pdf\n", "file/140/未明确/00355-袁克英.pdf\n", "file/140/宋王村/00356-任树荣.pdf\n", "file/140/宋王村/00357-王桂荣.pdf\n", "file/140/南范村/00358-史景霞.pdf\n", "file/140/南范村/00359-刘增花.pdf\n", "file/140/小街村/00360-刘德收.pdf\n", "file/140/宋王村/00361-张玉环.pdf\n", "file/140/小街村/00362-孙明华.pdf\n", "file/140/北范村/00363-张焕.pdf\n", "file/140/南范村/00364-李翠英.pdf\n", "file/140/罗盖村/00365-盖会武.pdf\n", "file/140/未明确/00368-韩华祥.pdf\n", "file/140/北范村/00369-刘会英.pdf\n", "file/140/宋王村/00370-张英.pdf\n", "file/140/西韩村/00371-韩登峰.pdf\n", "file/140/西韩村/00372-裴新红.pdf\n", "file/140/罗盖村/00373-张琼.pdf\n", "file/140/前许村/00374-李其珍.pdf\n", "file/140/北范村/00375-赵鹏飞.pdf\n", "file/140/杨庙村/00376-李大玉.pdf\n", "file/140/杨庙村/00377-许翠田.pdf\n", "file/140/杨庙村/00378-许福荣.pdf\n", "file/140/东范村/00379-王希英.pdf\n", "file/140/新李村/00381-张玉香.pdf\n", "file/140/宋王村/00382-张树香.pdf\n", "file/140/未明确/00383-张向明.pdf\n", "file/140/罗盖村/00386-盖在昌.pdf\n", "file/140/南范村/00387-刘良民.pdf\n", "file/140/东范村/00389-杨建美.pdf\n", "file/140/新李村/00391-盖景红.pdf\n", "file/140/罗盖村/00392-赵庆英.pdf\n", "file/140/东范村/00393-胡玉芝.pdf\n", "file/140/西韩村/00394-韩宏祥.pdf\n", "file/140/西韩村/00395-韩迎迎.pdf\n", "file/140/罗盖村/00396-盖长吉.pdf\n", "file/140/南范村/00397-王金花.pdf\n", "file/140/新李村/00399-任瑞英.pdf\n", "file/140/杨庙村/00400-程庆祥.pdf\n", "file/140/西韩村/00401-郭荣华.pdf\n", "file/140/东范村/00402-张立业.pdf\n", "file/140/北范村/00403-缪秀荣.pdf\n", "file/140/北范村/00404-何大英.pdf\n", "file/140/罗盖村/00405-张树萍.pdf\n", "file/140/北范村/00406-张绪珍.pdf\n", "file/140/杨庙村/00407-程洪清.pdf\n", "file/140/杨庙村/00408-张蕾蕾.pdf\n", "file/140/罗盖村/00410-张花训.pdf\n", "file/140/前许村/00411-许广新.pdf\n", "file/140/宋王村/00412-程海峰.pdf\n", "file/140/罗盖村/00414-李梅.pdf\n", "file/140/小街村/00415-张连芬.pdf\n", "file/140/小街村/00416-石金峰.pdf\n", "file/140/南范村/00417-张玉娟.pdf\n", "file/140/南范村/00418-王树青.pdf\n", "file/140/小街村/00419-黄文星.pdf\n", "file/140/东范村/00420-马燕辉.pdf\n", "file/140/小街村/00421-刘云霄.pdf\n", "file/140/小街村/00422-王海.pdf\n", "file/140/东范村/00423-崔云卿.pdf\n", "file/140/罗盖村/00424-王玉凤.pdf\n", "file/140/南范村/00427-高俊臣.pdf\n", "file/140/宋王村/00429-董丽娜.pdf\n", "file/140/小街村/00430-许发荣.pdf\n", "file/140/北范村/00431-魏玉珍.pdf\n", "file/140/新李村/00432-王秀花.pdf\n", "file/140/宋王村/00433-程军花.pdf\n", "file/140/北范村/00434-王保芹.pdf\n", "file/140/小街村/00435-崔娟.pdf\n", "file/140/杨庙村/00436-杨大妮.pdf\n", "file/140/小街村/00437-刘华训.pdf\n", "file/140/未明确/06000-车呈淼.pdf\n", "file/140/未明确/06001-苏莎莎.pdf\n", "file/140/未明确/06002-宗文琴.pdf\n", "file/140/未明确/06003-朱连梅.pdf\n", "file/140/未明确/98765-张红霞.pdf\n", "file/140/未明确/98776-唐庆振.pdf\n" ] } ], "source": [ "import os,sys,shutil\n", "import json\n", "import math\n", "\n", "filename = 'data/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "old = []\n", "depart = []\n", "for k, v in dict1.items():\n", " m_depart = v['unit']\n", " if m_depart not in depart:\n", " depart.append(m_depart)\n", " \n", "fi_path = '/data/pdf/ydyb/140/2023-03-29'\n", "\n", "\n", "# 创建部门办公室 \n", "m_path = 'file/140'\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 = dict1[str(n)]['unit']\n", " name = dict1[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": "markdown", "id": "a1e61c81-d63b-4089-8d79-f05b4a7a35e2", "metadata": {}, "source": [ "## 生成体检报告情况表" ] }, { "cell_type": "code", "execution_count": 11, "id": "b1ff81f5-a8fa-4cea-9158-f80bccbf1494", "metadata": { "execution": { "iopub.execute_input": "2023-03-29T03:02:01.912359Z", "iopub.status.busy": "2023-03-29T03:02:01.911447Z", "iopub.status.idle": "2023-03-29T03:02:01.978446Z", "shell.execute_reply": "2023-03-29T03:02:01.977386Z", "shell.execute_reply.started": "2023-03-29T03:02:01.912319Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok!\n" ] } ], "source": [ "import os,sys,shutil\n", "import openpyxl\n", "import json\n", "\n", "filename = 'data/杨庙体测明确人员信息（20230328）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "old = []\n", "depart = []\n", "for k, v in dict1.items():\n", " m_depart = v['unit']\n", " if m_depart not in depart:\n", " depart.append(m_depart)\n", " \n", "fi_path = '/data/pdf/ydyb/140/2023-03-29'\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", "list1 = []\n", "for n in old:\n", " list2 =[]\n", " unit = dict1[str(n)]['unit']\n", " name = dict1[str(n)]['name']\n", " list2 = [str(n).rjust(5,\"0\"),name,unit]\n", " list1.append(list2)\n", "\n", "filename = 'data/杨庙体测报告明细表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "title = ['体测编号','姓名','单位']\n", "sheet.append(title)\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename) \n", "print('ok!')" ] }, { "cell_type": "code", "execution_count": null, "id": "ca490666-c968-45e0-b42d-3b53a0e7c19c", "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 }