20250304
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512song committed
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3 files changed
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+486
-96
@@ -10,15 +10,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 58,
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"execution_count": 41,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
|
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"execution": {
|
||||
"iopub.execute_input": "2024-12-23T05:16:55.108154Z",
|
||||
"iopub.status.busy": "2024-12-23T05:16:55.107437Z",
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"iopub.status.idle": "2024-12-23T05:16:55.138579Z",
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"shell.execute_reply": "2024-12-23T05:16:55.138007Z",
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"shell.execute_reply.started": "2024-12-23T05:16:55.108086Z"
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||||
"iopub.execute_input": "2025-03-03T06:31:35.177159Z",
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"iopub.status.busy": "2025-03-03T06:31:35.176415Z",
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"shell.execute_reply": "2025-03-03T06:31:35.214069Z",
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"shell.execute_reply.started": "2025-03-03T06:31:35.177089Z"
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},
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"tags": []
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},
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@@ -61,6 +61,63 @@
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"print('ok')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 57,
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"id": "5a98acbe-5f00-4ee0-99b2-7ff8d0caa3bc",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-03-04T01:28:11.977681Z",
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"iopub.status.busy": "2025-03-04T01:28:11.976966Z",
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||||
"iopub.status.idle": "2025-03-04T01:28:12.007482Z",
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"shell.execute_reply": "2025-03-04T01:28:12.006967Z",
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"shell.execute_reply.started": "2025-03-04T01:28:11.977599Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"125\n",
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"ok\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"from datetime import date\n",
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"\n",
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"wb = openpyxl.load_workbook('data/陈庄检测人员登记表.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = int(sheet.cell(n, 1).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value\n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" dict1['unit'] = sheet.cell(n, 7).value\n",
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" if sheet.cell(n,7).value is not None:\n",
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" dict1['unit'] = str(sheet.cell(n,7).value) \n",
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" else:\n",
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" dict1['unit'] = ' ' \n",
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" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
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" if sheet.cell(n,5).value is not None:\n",
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" dict1['phone'] = str(sheet.cell(n,5).value) \n",
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" if sheet.cell(n,6).value is not None:\n",
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" dict1['id'] = str(sheet.cell(n,6).value) \n",
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" person[code] = dict1\n",
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"filename = 'data/陈庄检测人员.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print(len(person))\n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
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@@ -71,27 +128,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 51,
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"execution_count": null,
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"id": "970e171e-1360-448f-a28c-520ccb8f314a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-12-23T02:18:32.436129Z",
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"iopub.status.busy": "2024-12-23T02:18:32.435385Z",
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"iopub.status.idle": "2024-12-23T02:18:32.449327Z",
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"shell.execute_reply": "2024-12-23T02:18:32.448323Z",
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"shell.execute_reply.started": "2024-12-23T02:18:32.436058Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"67\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import json\n",
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"import datetime\n",
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@@ -148,6 +190,84 @@
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 58,
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"id": "e2526429-e779-4ec5-8a0e-bea623f54f29",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-03-04T01:28:20.346704Z",
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"iopub.status.busy": "2025-03-04T01:28:20.345188Z",
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"iopub.status.idle": "2025-03-04T01:28:20.368327Z",
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"shell.execute_reply": "2025-03-04T01:28:20.367809Z",
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"shell.execute_reply.started": "2025-03-04T01:28:20.346598Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"115\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import datetime\n",
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"import csv\n",
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"from datetime import date\n",
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"\n",
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"\n",
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"re_ta = {}\n",
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"list1 = []\n",
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"filename = 'data/陈庄检测人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"filename = 'data/marks_20250304.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" rq = date.fromisoformat(result[5].replace('/','-'))\n",
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" if user in dict1.keys():\n",
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" l_xm = []\n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex']\n",
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" re_ta[user]['birth'] = dict1[user]['birth']\n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" if 'phone' in dict1[user].keys():\n",
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" re_ta[user]['phone'] = dict1[user]['phone']\n",
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" if dict1[user]['sex'] == '男':\n",
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" l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
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" else:\n",
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" l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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" #re_ta[user]['unit'] = dict1[user]['unit']\n",
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" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
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" item_name = result[3] \n",
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" if item_name in l_xm: \n",
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" days = (rq-birth).days \n",
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" re_ta[user]['age'] = int(days/365)\n",
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" re_ta[user]['month'] = int(days/365*12)\n",
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" re_ta[user]['rq'] = result[5]\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = result[4] \n",
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" re_ta[user][item_name]['成绩'] = score\n",
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"\n",
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"filename = 'data/result_陈庄检测人员.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "74ec60b7-b1d9-488d-95fa-4ddd020c2a4c",
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@@ -158,15 +278,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 52,
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"execution_count": 59,
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"id": "c3b99428-00d5-45ea-9803-261194525fa4",
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||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-12-23T02:18:35.914475Z",
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||||
"iopub.status.busy": "2024-12-23T02:18:35.913744Z",
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||||
"iopub.status.idle": "2024-12-23T02:18:35.934796Z",
|
||||
"shell.execute_reply": "2024-12-23T02:18:35.933710Z",
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||||
"shell.execute_reply.started": "2024-12-23T02:18:35.914405Z"
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||||
"iopub.execute_input": "2025-03-04T01:28:24.460728Z",
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||||
"iopub.status.busy": "2025-03-04T01:28:24.459968Z",
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||||
"iopub.status.idle": "2025-03-04T01:28:24.473509Z",
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||||
"shell.execute_reply": "2025-03-04T01:28:24.472999Z",
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||||
"shell.execute_reply.started": "2025-03-04T01:28:24.460657Z"
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||||
}
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||||
},
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"outputs": [
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@@ -185,7 +305,7 @@
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"\n",
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"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"filename = 'data/result_北体体质康健班202412.json'\n",
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"filename = 'data/result_陈庄检测人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl) \n",
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"for k, v in dict2.items():\n",
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@@ -208,7 +328,7 @@
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" dict2[k][item_en]['score'] = My.cal_score(data1)\n",
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" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
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"\n",
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"filename = f'data/result_北体体质康健班202412.json'\n",
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"filename = f'data/result_陈庄检测人员.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2,fl , ensure_ascii=False) \n",
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"print('ok!') "
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@@ -224,15 +344,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 53,
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"execution_count": 60,
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"id": "0c60a509-dfc0-426a-a44e-e9a760139463",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2024-12-23T02:18:43.101468Z",
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||||
"iopub.status.busy": "2024-12-23T02:18:43.100822Z",
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||||
"iopub.status.idle": "2024-12-23T02:18:43.133068Z",
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||||
"shell.execute_reply": "2024-12-23T02:18:43.132432Z",
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||||
"shell.execute_reply.started": "2024-12-23T02:18:43.101408Z"
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||||
"iopub.execute_input": "2025-03-04T01:28:32.981359Z",
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||||
"iopub.status.busy": "2025-03-04T01:28:32.980597Z",
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||||
"iopub.status.idle": "2025-03-04T01:28:33.024339Z",
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||||
"shell.execute_reply": "2025-03-04T01:28:33.023768Z",
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||||
"shell.execute_reply.started": "2025-03-04T01:28:32.981288Z"
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},
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"tags": []
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},
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@@ -244,11 +364,11 @@
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"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
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"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",
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"\n",
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"filename = 'data/result_北体体质康健班202412.json'\n",
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"filename = 'data/result_陈庄检测人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/北体体质康健班202412.json'\n",
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"filename = 'data/陈庄检测人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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" \n",
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@@ -276,7 +396,7 @@
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" list2.append('')\n",
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" \n",
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" list1.append(list2)\n",
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"filename = 'data/北体体质康健班体测情况表202412.xlsx'\n",
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"filename = 'data/陈庄检测人员20250303.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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@@ -296,27 +416,12 @@
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},
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{
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||||
"cell_type": "code",
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"execution_count": 49,
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"execution_count": null,
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"id": "79fb7799-3693-4b7b-ae82-c0d8dee98d36",
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"metadata": {
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||||
"execution": {
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||||
"iopub.execute_input": "2024-12-22T07:18:34.575061Z",
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"iopub.status.busy": "2024-12-22T07:18:34.574259Z",
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||||
"iopub.status.idle": "2024-12-22T07:18:34.606759Z",
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||||
"shell.execute_reply": "2024-12-22T07:18:34.606260Z",
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||||
"shell.execute_reply.started": "2024-12-22T07:18:34.574981Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"71\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import json\n",
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"import csv\n",
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@@ -326,10 +431,10 @@
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"\n",
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"dict1 = {}\n",
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"\n",
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"filename = 'data/result_北体体质康健班202412.json'\n",
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"filename = 'data/result_陈庄检测人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"filename = 'data/北体体质康健班202412.json'\n",
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"filename = 'data/陈庄检测人员.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict3 = json.load(fl)\n",
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"\n",
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@@ -339,7 +444,7 @@
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" phone[v['phone']] = k\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/Survey_20241220.csv'\n",
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"filename = 'data/Survey_20250303.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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@@ -348,7 +453,7 @@
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"\n",
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"\n",
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"\n",
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"\n",
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"nn = 0\n",
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"for item in list1:\n",
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" if item[2] in phone.keys():\n",
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" psy =[]\n",
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@@ -400,11 +505,120 @@
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" days = (rq-birth).days \n",
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" dict1[phone[item[2]]]['age'] = int(days/365)\n",
|
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" dict1[phone[item[2]]]['month'] = int(days/365*12)\n",
|
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"filename = 'data/result_北体体质康健班202412-1.json'\n",
|
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" #print(phone[item[2]])\n",
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" nn+=1\n",
|
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"filename = 'data/result_陈庄检测人员-1.json'\n",
|
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"\n",
|
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False)\n",
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"print(len(dict1))"
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"print(nn)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 61,
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"id": "891347c4-cd65-41f8-b5dd-b3ff3d1e249f",
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"metadata": {
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"execution": {
|
||||
"iopub.execute_input": "2025-03-04T01:34:28.818217Z",
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||||
"iopub.status.busy": "2025-03-04T01:34:28.817471Z",
|
||||
"iopub.status.idle": "2025-03-04T01:34:28.854884Z",
|
||||
"shell.execute_reply": "2025-03-04T01:34:28.854277Z",
|
||||
"shell.execute_reply.started": "2025-03-04T01:34:28.818153Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"83\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import csv\n",
|
||||
"import openpyxl\n",
|
||||
"import time\n",
|
||||
"from datetime import date\n",
|
||||
"\n",
|
||||
"dict1 = {}\n",
|
||||
"\n",
|
||||
"filename = 'data/result_陈庄检测人员.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"filename = 'data/陈庄检测人员.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict3 = json.load(fl)\n",
|
||||
"\n",
|
||||
"phone = {}\n",
|
||||
"for k,v in dict3.items():\n",
|
||||
" if 'phone' in v.keys():\n",
|
||||
" phone[v['phone']] = k\n",
|
||||
"\n",
|
||||
"list1 = []\n",
|
||||
"filename = 'data/Survey_20250303.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",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"nn = 0\n",
|
||||
"for item in list1:\n",
|
||||
" if item[2] in phone.keys():\n",
|
||||
" psy =[]\n",
|
||||
" tcm = []\n",
|
||||
" spine = []\n",
|
||||
" for i in range(0,30):\n",
|
||||
" psy.append(0)\n",
|
||||
" for i in range(0,60):\n",
|
||||
" tcm.append(0)\n",
|
||||
" for i in range(0,26):\n",
|
||||
" spine.append(0)\n",
|
||||
" \n",
|
||||
" content = json.loads(item[5])\n",
|
||||
" if phone[item[2]] not in dict1.keys():\n",
|
||||
" dict1[phone[item[2]]] = dict3[phone[item[2]]]\n",
|
||||
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||||
" dict1[phone[item[2]]]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
||||
" for k, v in content.items():\n",
|
||||
" if 'psyOld' in k:\n",
|
||||
" i = int(k[6:])\n",
|
||||
" psy[i-1] = int(v)\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",
|
||||
" if 'psyOld' in item[5]:\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" dict1[phone[item[2]]]['psy_yangmiao_old'] = psy\n",
|
||||
" if 'tcm' in item[5]:\n",
|
||||
" \n",
|
||||
" dict1[phone[item[2]]]['tcm'] = tcm\n",
|
||||
" if 'spine' in item[5]:\n",
|
||||
" for ii in range(25,23,-1):\n",
|
||||
" spine[ii] = spine[ii-1]\n",
|
||||
" spine[22] = 0 \n",
|
||||
" dict1[phone[item[2]]]['spine'] = spine\n",
|
||||
" birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))\n",
|
||||
" \n",
|
||||
" days = (rq-birth).days \n",
|
||||
" dict1[phone[item[2]]]['age'] = int(days/365)\n",
|
||||
" dict1[phone[item[2]]]['month'] = int(days/365*12)\n",
|
||||
" #print(phone[item[2]])\n",
|
||||
" nn+=1\n",
|
||||
"filename = 'data/result_陈庄检测人员-1.json'\n",
|
||||
"\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(dict1, fl, ensure_ascii=False)\n",
|
||||
"print(nn)"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -468,16 +682,9 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"execution_count": null,
|
||||
"id": "eb4091f4-9823-4361-acb2-f3e898f9524b",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-12-22T00:37:03.115402Z",
|
||||
"iopub.status.busy": "2024-12-22T00:37:03.114604Z",
|
||||
"iopub.status.idle": "2024-12-22T00:37:03.144709Z",
|
||||
"shell.execute_reply": "2024-12-22T00:37:03.144175Z",
|
||||
"shell.execute_reply.started": "2024-12-22T00:37:03.115323Z"
|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
@@ -588,6 +795,112 @@
|
||||
" json.dump(dict1, fl, ensure_ascii=False) "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "a26a0a2b-c10e-4acf-bce9-902d16669b91",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import csv\n",
|
||||
"import openpyxl\n",
|
||||
"import time\n",
|
||||
"from datetime import date\n",
|
||||
"\n",
|
||||
"dict1 = {}\n",
|
||||
"\n",
|
||||
"filename = 'data/result_北体体质康健班202412.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict3 = json.load(fl)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"list1 = []\n",
|
||||
"filename = 'data/Survey_20241220.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",
|
||||
"#print(list1)\n",
|
||||
"dict2 = {}\n",
|
||||
"\n",
|
||||
"for item in list1:\n",
|
||||
" psy = []\n",
|
||||
" tcm = []\n",
|
||||
" spine = []\n",
|
||||
" for i in range(0,45):\n",
|
||||
" psy.append(0)\n",
|
||||
" for i in range(0,60):\n",
|
||||
" tcm.append(0)\n",
|
||||
" for i in range(0,26):\n",
|
||||
" spine.append(0)\n",
|
||||
" phone = item[2]\n",
|
||||
" for k1, v1 in dict3.items():\n",
|
||||
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
||||
" dict1[k1] = dict3[k1]\n",
|
||||
" #dict1[k1]['month'] = dict1[k1]['age'] *12\n",
|
||||
"#print(dict1)\n",
|
||||
"for item in list1:\n",
|
||||
" #print(item)\n",
|
||||
" psy = []\n",
|
||||
" tcm = []\n",
|
||||
" spine = []\n",
|
||||
" for i in range(0,45):\n",
|
||||
" psy.append(0)\n",
|
||||
" for i in range(0,60):\n",
|
||||
" tcm.append(0)\n",
|
||||
" for i in range(0,26):\n",
|
||||
" spine.append(0)\n",
|
||||
" phone = item[2]\n",
|
||||
" for k1, v1 in dict1.items():\n",
|
||||
" #print((k1,v1))\n",
|
||||
" if 'phone' in v1.keys() and phone ==v1['phone']: \n",
|
||||
" content = json.loads(item[5])\n",
|
||||
" #print(content)\n",
|
||||
" \n",
|
||||
" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||||
" #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n",
|
||||
" for k, v in content.items():\n",
|
||||
" #print('k:',k,'v:',v)\n",
|
||||
" if 'psyOld' in k: \n",
|
||||
" i = int(k[6:])\n",
|
||||
" psy[i-1] = int(v)\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",
|
||||
" if 'psyOld' in item[5]:\n",
|
||||
" \n",
|
||||
" dict1[k1]['psy'] = psy\n",
|
||||
" if 'tcm' in item[5]:\n",
|
||||
" \n",
|
||||
" dict1[k1]['tcm'] = tcm\n",
|
||||
" if 'spine' in item[5]:\n",
|
||||
" for ii in range(25,23,-1):\n",
|
||||
" \n",
|
||||
" spine[ii] = spine[ii-1]\n",
|
||||
" \n",
|
||||
" spine[22] = 0\n",
|
||||
" \n",
|
||||
" \n",
|
||||
" \n",
|
||||
" dict1[k1]['spine'] = spine\n",
|
||||
" #birth = date.fromisoformat(dict3[k1]['birth'].replace('/','-'))\n",
|
||||
"\n",
|
||||
" #days = (rq-birth).days \n",
|
||||
" #dict1[k1]['age'] = int(days/365)\n",
|
||||
" \n",
|
||||
" dict1[k1]['rq'] = item[6].replace('/','-').split(' ')[0]\n",
|
||||
"#print(dict1)\n",
|
||||
"filename = 'data/result_北体体质康健班202412-1.json'\n",
|
||||
"\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(dict1, fl, ensure_ascii=False) "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "85d087e3-c469-409e-893b-a22789d73613",
|
||||
@@ -598,15 +911,15 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 50,
|
||||
"execution_count": 62,
|
||||
"id": "327c33e2-7437-4421-b70c-ec98234a5e88",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-12-22T07:18:54.900729Z",
|
||||
"iopub.status.busy": "2024-12-22T07:18:54.899962Z",
|
||||
"iopub.status.idle": "2024-12-22T07:19:29.111150Z",
|
||||
"shell.execute_reply": "2024-12-22T07:19:29.110336Z",
|
||||
"shell.execute_reply.started": "2024-12-22T07:18:54.900656Z"
|
||||
"iopub.execute_input": "2025-03-04T01:34:56.351921Z",
|
||||
"iopub.status.busy": "2025-03-04T01:34:56.351159Z",
|
||||
"iopub.status.idle": "2025-03-04T01:36:01.625317Z",
|
||||
"shell.execute_reply": "2025-03-04T01:36:01.624114Z",
|
||||
"shell.execute_reply.started": "2025-03-04T01:34:56.351849Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
@@ -614,7 +927,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"71\n"
|
||||
"116\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -627,11 +940,11 @@
|
||||
"headers = {\n",
|
||||
" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
|
||||
" }\n",
|
||||
"filename = 'data/result_北体体质康健班202412-1.json'\n",
|
||||
"filename = 'data/result_陈庄检测人员-1.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"file_path ='./北体体质康健班202412/'\n",
|
||||
"file_path ='./东营陈庄/'\n",
|
||||
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
|
||||
"i=0\n",
|
||||
"list2 = []\n",
|
||||
@@ -641,7 +954,7 @@
|
||||
" \n",
|
||||
" id = str(k).rjust(4,\"0\")\n",
|
||||
" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
|
||||
" mydata['title'] = '北体体质康健班'\n",
|
||||
" mydata['title'] = '山东东营陈庄镇'\n",
|
||||
" mydata['subtitle'] = v['unit']\n",
|
||||
" mydata['id'] = id\n",
|
||||
" mydata['name'] = v['name']\n",
|
||||
@@ -668,8 +981,9 @@
|
||||
" 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 or len(mydata['surveys']) >0:\n",
|
||||
" #if len(mydata['fits']) >2 : \n",
|
||||
" if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\n",
|
||||
" list1.append(mydata)\n",
|
||||
" list2.append([k,v['name']])\n",
|
||||
" i+=1\n",
|
||||
@@ -681,24 +995,100 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "raw",
|
||||
"id": "640b2865-5739-464b-ac51-0ffc49adb00f",
|
||||
"metadata": {},
|
||||
"source": []
|
||||
"cell_type": "code",
|
||||
"execution_count": 48,
|
||||
"id": "44a209a2-ca22-4a80-bbd9-37717347dfd5",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-03-03T06:41:43.203179Z",
|
||||
"iopub.status.busy": "2025-03-03T06:41:43.202419Z",
|
||||
"iopub.status.idle": "2025-03-03T06:41:43.225384Z",
|
||||
"shell.execute_reply": "2025-03-03T06:41:43.224812Z",
|
||||
"shell.execute_reply.started": "2025-03-03T06:41:43.203107Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"91\n",
|
||||
"ok\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_陈庄检测人员-1.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
"file_path ='./东营陈庄/'\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'] = '山东东营陈庄镇'\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_yangmiao_old','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",
|
||||
" if len(mydata['fits']) >2 or 'surveys' in mydata.keys():\n",
|
||||
" list2.append(mydata)\n",
|
||||
" \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",
|
||||
"filename = 'data/data_陈庄检测人员.json'\n",
|
||||
"with open(filename, 'w') as fl:\n",
|
||||
" json.dump(list2, fl, ensure_ascii=False)\n",
|
||||
"print(len(list2))\n",
|
||||
"print('ok')"
|
||||
]
|
||||
},
|
||||
{
|
||||
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||||
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|
||||
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|
||||
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|
||||
"metadata": {
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
}
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
|
||||
+270
-180
@@ -14,11 +14,11 @@
|
||||
"id": "360f0a97-d73d-43f3-9f7a-0f9582103c82",
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
@@ -30,10 +30,10 @@
|
||||
"mydb = myclient[\"baogao\"]\n",
|
||||
"mycol = mydb[\"place\"]\n",
|
||||
"\n",
|
||||
"place_id = 141002\n",
|
||||
"place_code = \"15\"\n",
|
||||
"dw_name = \"北体体质康健班\"\n",
|
||||
"dw_jc = \"北体体质康健班\"\n",
|
||||
"place_id = 250226\n",
|
||||
"place_code = \"16\"\n",
|
||||
"dw_name = \"山东东营陈庄镇\"\n",
|
||||
"dw_jc = \"山东东营陈庄镇\"\n",
|
||||
"myquery = { \"id\": place_id }\n",
|
||||
"num = mycol.count_documents(myquery)\n",
|
||||
"if num>0:\n",
|
||||
@@ -53,15 +53,15 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"execution_count": 2,
|
||||
"id": "6ce2cbc7-435a-461c-bdb8-abd9a6962fbc",
|
||||
"metadata": {
|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
@@ -69,7 +69,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"71 ok\n"
|
||||
"116 ok\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -86,10 +86,10 @@
|
||||
"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
|
||||
"mydb = myclient[\"baogao\"]\n",
|
||||
"\n",
|
||||
"place_id = 141002\n",
|
||||
"place_code = \"15\"\n",
|
||||
"dw_name = \"北体体质康健班\"\n",
|
||||
"dw_jc = \"北体体质康健班\"\n",
|
||||
"place_id = 250226\n",
|
||||
"place_code = \"16\"\n",
|
||||
"dw_name = \"山东东营陈庄镇\"\n",
|
||||
"dw_jc = \"山东东营陈庄镇\"\n",
|
||||
"fi_path = '/home/songyi/python/mycrm/flask/pdf/files'\n",
|
||||
"fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')\n",
|
||||
"\n",
|
||||
@@ -137,15 +137,15 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"execution_count": 3,
|
||||
"id": "5f665c0f-8d30-4759-b7f8-fb7e13b98efa",
|
||||
"metadata": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"shell.execute_reply.started": "2024-12-23T05:43:17.023237Z"
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
@@ -154,77 +154,122 @@
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"97 13561086165 0004-李伟军.pdf 164165\n",
|
||||
"98 15605469730 0089-曹莹莹.pdf 164137\n",
|
||||
"99 17754629176 0050-徐凤霞.pdf 161527\n",
|
||||
"100 13220505818 0026-霍卫华.pdf 160537\n",
|
||||
"101 15154655057 0085-左连亮.pdf 168761\n",
|
||||
"102 15275640625 0120-石东初.pdf 164391\n",
|
||||
"103 13562257108 0081-李英霞.pdf 165483\n",
|
||||
"104 15318382108 0087-刘肖丽.pdf 160973\n",
|
||||
"105 13625462769 0109-李卫忠.pdf 167350\n",
|
||||
"106 17754600760 0061-胡菲菲.pdf 169176\n",
|
||||
"107 13006548466 0037-李振琴.pdf 162870\n",
|
||||
"108 18954676358 0058-赵凯.pdf 167032\n",
|
||||
"109 15552779321 0105-刘胜彩.pdf 163867\n",
|
||||
"110 13563395385 0027-王振泉.pdf 164018\n",
|
||||
"111 19854689027 0078-张卫卫.pdf 164520\n",
|
||||
"112 17754629226 0049-蔡立庆.pdf 169251\n",
|
||||
"113 13406089611 0076-王宪芳.pdf 168925\n",
|
||||
"114 17754665865 0073-韩霞.pdf 161576\n",
|
||||
"115 13963351053 0099-韩英.pdf 160826\n",
|
||||
"116 17754629175 0034-段德引.pdf 162306\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -242,8 +287,8 @@
|
||||
"mydb = myclient[\"baogao\"]\n",
|
||||
"mycol = mydb[\"pdf\"]\n",
|
||||
"\n",
|
||||
"dw_jc = \"北体体质康健班学员\"\n",
|
||||
"filename = 'data/北体体质康健班202412.json'\n",
|
||||
"dw_jc = \"山东东营陈庄镇测试者\"\n",
|
||||
"filename = 'data/陈庄检测人员.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl) \n",
|
||||
"dict2 = {}\n",
|
||||
@@ -303,15 +348,15 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 4,
|
||||
"id": "4b2b5d76-665f-4dfe-bbd3-5c80abd8c3e3",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-12-23T05:43:33.444175Z",
|
||||
"iopub.status.busy": "2024-12-23T05:43:33.443420Z",
|
||||
"iopub.status.idle": "2024-12-23T06:01:33.534050Z",
|
||||
"shell.execute_reply": "2024-12-23T06:01:33.532110Z",
|
||||
"shell.execute_reply.started": "2024-12-23T05:43:33.444103Z"
|
||||
"iopub.execute_input": "2025-03-04T01:57:31.101633Z",
|
||||
"iopub.status.busy": "2025-03-04T01:57:31.100873Z",
|
||||
"iopub.status.idle": "2025-03-04T02:07:35.250788Z",
|
||||
"shell.execute_reply": "2025-03-04T02:07:35.248854Z",
|
||||
"shell.execute_reply.started": "2025-03-04T01:57:31.101547Z"
|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
@@ -320,77 +365,122 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
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|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -408,12 +498,12 @@
|
||||
"mydb = myclient[\"baogao\"]\n",
|
||||
"mycol = mydb[\"pdf\"]\n",
|
||||
"\n",
|
||||
"dw_jc = \"北体体质康健班学员\"\n",
|
||||
"filename = 'data/北体体质康健班202412.json'\n",
|
||||
"dw_jc = \"山东东营陈庄镇测试者\"\n",
|
||||
"filename = 'data/陈庄检测人员.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl) \n",
|
||||
"dict2 = {}\n",
|
||||
"place_id = 141002\n",
|
||||
"place_id = 250226\n",
|
||||
"myquery = { \"place_id\": place_id }\n",
|
||||
"for x in mycol.find(myquery,{ \"_id\": 0, \"place_id\": 0}):\n",
|
||||
" code = int(x['fn'].split('-')[0])\n",
|
||||
@@ -452,7 +542,7 @@
|
||||
" resp = client.SendSms(req)\n",
|
||||
" dict3 = json.loads(resp.to_json_string(indent=2))\n",
|
||||
" print(v['phone'], v['code'],dict3['SendStatusSet'][0][\"Message\"])\n",
|
||||
" time.sleep(15)\n",
|
||||
" time.sleep(5)\n",
|
||||
" except TencentCloudSDKException as err:\n",
|
||||
" print(v['phone'],err)"
|
||||
]
|
||||
|
||||
@@ -0,0 +1,145 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "4c41a2bd-7340-4a3b-9257-8d8615a20a09",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 体测人员导入"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "eb9aa782-ce2c-4814-bdf6-92c7e892854d",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-03-04T04:48:50.513279Z",
|
||||
"iopub.status.busy": "2025-03-04T04:48:50.512517Z",
|
||||
"iopub.status.idle": "2025-03-04T04:48:50.542095Z",
|
||||
"shell.execute_reply": "2025-03-04T04:48:50.541445Z",
|
||||
"shell.execute_reply.started": "2025-03-04T04:48:50.513207Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"49\n",
|
||||
"ok\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import openpyxl\n",
|
||||
"import json\n",
|
||||
"from datetime import date\n",
|
||||
"\n",
|
||||
"wb = openpyxl.load_workbook('data/海淀老干部局第一期.xlsx')\n",
|
||||
"sheet = wb.active\n",
|
||||
"# sheets = wb.sheetnames\n",
|
||||
"person = {}\n",
|
||||
"\n",
|
||||
"for n in range(3, sheet.max_row+1):\n",
|
||||
" code = int(sheet.cell(n, 1).value)\n",
|
||||
" person.setdefault(code, {})\n",
|
||||
" dict1 = {}\n",
|
||||
" dict1['name'] = sheet.cell(n, 2).value\n",
|
||||
" dict1['sex'] = sheet.cell(n, 3).value\n",
|
||||
" dict1['unit'] = '第一期'\n",
|
||||
" dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0]\n",
|
||||
" dict1['id'] = sheet.cell(n, 5).value\n",
|
||||
" if sheet.cell(n,6).value is not None:\n",
|
||||
" dict1['phone'] = str(sheet.cell(n,6).value) \n",
|
||||
" person[code] = dict1\n",
|
||||
"filename = 'data/海淀区老干部大学第一期.json'\n",
|
||||
"with open(filename, 'w') as fl:\n",
|
||||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||||
"print(len(person))\n",
|
||||
"print('ok')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "40f2c77d-1504-4288-9ed0-a0a4678579ee",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 生成读卡系统文件"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "4e0de75e-6957-434a-9591-da96c21f4659",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-03-03T07:21:43.877959Z",
|
||||
"iopub.status.busy": "2025-03-03T07:21:43.877156Z",
|
||||
"iopub.status.idle": "2025-03-03T07:21:43.888327Z",
|
||||
"shell.execute_reply": "2025-03-03T07:21:43.887102Z",
|
||||
"shell.execute_reply.started": "2025-03-03T07:21:43.877887Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"ok\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"\n",
|
||||
"filename = 'data/海淀区老干部大学第一期.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/card_海淀区老干部大学.json\", \"w\",encoding = 'utf-8') as file:\n",
|
||||
" file.write(json_data) \n",
|
||||
"print('ok')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "26dbb945-2b62-4a46-9c72-aa321be7321d",
|
||||
"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
|
||||
}
|
||||
Reference in new issue
Block a user