20251021
This commit is contained in:
512song committed
1 parent
ba6f6b413a
commit
a10492f0ad
6 files changed
+1705
-151
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+14
-14
@@ -2376,15 +2376,15 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 1,
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"id": "6f9768ce-2ef5-4253-9fc6-49dbdcf00a19",
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"id": "6f9768ce-2ef5-4253-9fc6-49dbdcf00a19",
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"metadata": {
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"metadata": {
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"execution": {
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"execution": {
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"iopub.execute_input": "2025-09-16T02:05:51.668240Z",
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"iopub.execute_input": "2025-09-22T12:52:59.350814Z",
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"iopub.status.busy": "2025-09-16T02:05:51.667590Z",
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"iopub.status.busy": "2025-09-22T12:52:59.350137Z",
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"iopub.status.idle": "2025-09-16T02:05:51.678339Z",
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"iopub.status.idle": "2025-09-22T12:52:59.367870Z",
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"shell.execute_reply": "2025-09-16T02:05:51.677348Z",
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"shell.execute_reply": "2025-09-22T12:52:59.366720Z",
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"shell.execute_reply.started": "2025-09-16T02:05:51.668169Z"
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"shell.execute_reply.started": "2025-09-22T12:52:59.350750Z"
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}
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}
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},
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},
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"outputs": [],
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"outputs": [],
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@@ -2752,15 +2752,15 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 2,
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"id": "9ecd3ad8-c8af-4f3e-90e5-1618fea905a4",
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"id": "9ecd3ad8-c8af-4f3e-90e5-1618fea905a4",
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||||||
"metadata": {
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"metadata": {
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"execution": {
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"execution": {
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||||||
"iopub.execute_input": "2025-09-16T02:06:01.244917Z",
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"iopub.execute_input": "2025-09-22T12:54:30.458387Z",
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||||||
"iopub.status.busy": "2025-09-16T02:06:01.244267Z",
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"iopub.status.busy": "2025-09-22T12:54:30.457853Z",
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"iopub.status.idle": "2025-09-16T02:06:01.629798Z",
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"iopub.status.idle": "2025-09-22T12:54:30.653511Z",
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||||||
"shell.execute_reply": "2025-09-16T02:06:01.629334Z",
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"shell.execute_reply": "2025-09-22T12:54:30.653048Z",
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"shell.execute_reply.started": "2025-09-16T02:06:01.244858Z"
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"shell.execute_reply.started": "2025-09-22T12:54:30.458336Z"
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}
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}
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},
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},
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"outputs": [],
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"outputs": [],
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@@ -2768,7 +2768,7 @@
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"import openpyxl\n",
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"import openpyxl\n",
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"\n",
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"\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"filename = 'data/result_北海炼化2023.json'\n",
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"filename = 'data/result_通用技术中国医药-1.json'\n",
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"with open(filename,'r') as fl:\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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" dict1 = json.load(fl) \n",
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"data_list = []\n",
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"data_list = []\n",
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@@ -2850,7 +2850,7 @@
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" list6.append('')\n",
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" list6.append('')\n",
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" i+=1\n",
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" i+=1\n",
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" data_list.append(list6)\n",
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" data_list.append(list6)\n",
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"filename = 'data/北海炼化测试情况表2023.xlsx'\n",
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"filename = 'data/通用技术中国医药.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet = wb.active\n",
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"#sheet.append(title)\n",
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"#sheet.append(title)\n",
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+42
-12
@@ -10,33 +10,48 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 1,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-10-21T02:05:09.966940Z",
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"iopub.status.busy": "2025-10-21T02:05:09.966195Z",
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"iopub.status.idle": "2025-10-21T02:05:10.249499Z",
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"shell.execute_reply": "2025-10-21T02:05:10.248277Z",
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"shell.execute_reply.started": "2025-10-21T02:05:09.966870Z"
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},
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"tags": []
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"tags": []
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},
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},
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"outputs": [],
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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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"270 ok\n"
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]
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}
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],
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"source": [
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"source": [
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"import openpyxl\n",
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"import openpyxl\n",
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"import json\n",
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"import json\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/南化人员信息表.xlsx',data_only=True)\n",
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"wb = openpyxl.load_workbook('data/胜利采油厂人员名单.xlsx',data_only=True)\n",
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"sheet = wb.active\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"person = {}\n",
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"\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = int(sheet.cell(n, 4).value)\n",
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" code = int(sheet.cell(n, 2).value)\n",
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" person.setdefault(code, {})\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 3).value\n",
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" dict1['name'] = sheet.cell(n, 4).value\n",
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" dict1['sex'] = sheet.cell(n, 5).value\n",
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" dict1['sex'] = sheet.cell(n, 5).value\n",
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" dict1['unit'] = sheet.cell(n, 2).value \n",
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" dict1['unit'] = sheet.cell(n, 3).value \n",
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" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0]\n",
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" dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0]\n",
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" dict1['phone'] = sheet.cell(n, 12).value \n",
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" #dict1['phone'] = sheet.cell(n, 12).value \n",
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" person[code] = dict1\n",
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" person[code] = dict1\n",
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"filename = 'data/南京化工人员.json'\n",
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"filename = 'data/胜利采油厂人员.json'\n",
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"with open(filename, 'w') as fl:\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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" json.dump(person, fl, ensure_ascii=False)\n",
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"print(len(person),'ok')"
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"print(len(person),'ok')"
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@@ -52,16 +67,31 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 2,
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"id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
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"id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
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"metadata": {
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"metadata": {
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"execution": {
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||||||
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"iopub.execute_input": "2025-10-21T02:05:49.362922Z",
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"iopub.status.busy": "2025-10-21T02:05:49.362143Z",
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"iopub.status.idle": "2025-10-21T02:05:49.376741Z",
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"shell.execute_reply": "2025-10-21T02:05:49.375761Z",
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"shell.execute_reply.started": "2025-10-21T02:05:49.362862Z"
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},
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"tags": []
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"tags": []
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},
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},
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"outputs": [],
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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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"ok\n"
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]
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}
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||||||
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],
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"source": [
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"source": [
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"import json\n",
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"import json\n",
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"\n",
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"\n",
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"filename = 'data/南京化工人员.json'\n",
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"filename = 'data/胜利采油厂人员.json'\n",
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"with open(filename,'r') as fl:\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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" dict1 = json.load(fl)\n",
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"list1 = []\n",
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"list1 = []\n",
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@@ -75,7 +105,7 @@
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"\n",
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"# 将 json 数据写入文件\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/data_南京化工人员.json\", \"w\",encoding = 'utf-8') as file:\n",
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"with open(\"data/data_胜利采油厂人员.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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" file.write(json_data) \n",
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"print('ok')"
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"print('ok')"
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]
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]
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+270
-67
@@ -1,5 +1,13 @@
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{
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{
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"cells": [
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"cells": [
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{
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"cell_type": "markdown",
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"id": "a3a2e21f-e62e-465b-818d-8acea289434f",
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"metadata": {},
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"source": [
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"# 体质检测"
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]
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},
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{
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{
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"cell_type": "markdown",
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"cell_type": "markdown",
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"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
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"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-08-14T12:48:54.906761Z",
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"iopub.status.busy": "2025-08-14T12:48:54.906261Z",
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"iopub.status.idle": "2025-08-14T12:48:55.181497Z",
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"shell.execute_reply": "2025-08-14T12:48:55.180926Z",
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"shell.execute_reply.started": "2025-08-14T12:48:54.906723Z"
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},
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"tags": []
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"tags": []
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},
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},
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"outputs": [
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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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"1698 ok\n"
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]
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}
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],
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"source": [
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"source": [
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"import openpyxl\n",
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"import openpyxl\n",
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"import json\n",
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"import json\n",
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@@ -342,17 +335,9 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"id": "75b98b19-ab32-414a-b3f2-6efd58e1f9a9",
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"id": "75b98b19-ab32-414a-b3f2-6efd58e1f9a9",
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"metadata": {
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"metadata": {},
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"execution": {
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"iopub.execute_input": "2025-08-28T09:16:02.802494Z",
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"iopub.status.busy": "2025-08-28T09:16:02.801898Z",
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"iopub.status.idle": "2025-08-28T09:16:02.994884Z",
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"shell.execute_reply": "2025-08-28T09:16:02.994340Z",
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"shell.execute_reply.started": "2025-08-28T09:16:02.802438Z"
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}
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"import json\n",
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"import json\n",
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"id": "d31020be-c9c0-404f-8e0b-f8f507385f48",
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"id": "d31020be-c9c0-404f-8e0b-f8f507385f48",
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"metadata": {
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"metadata": {},
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"execution": {
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"outputs": [],
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"iopub.execute_input": "2025-08-14T12:28:32.225197Z",
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"iopub.status.busy": "2025-08-14T12:28:32.224475Z",
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"iopub.status.idle": "2025-08-14T12:28:32.933373Z",
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"shell.execute_reply": "2025-08-14T12:28:32.932821Z",
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"shell.execute_reply.started": "2025-08-14T12:28:32.225127Z"
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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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"ok\n"
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]
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}
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],
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"source": [
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"source": [
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"import json\n",
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"import json\n",
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"import openpyxl\n",
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"import openpyxl\n",
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},
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},
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": null,
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"id": "360831b7-e204-4801-9f72-879e338ed962",
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"id": "360831b7-e204-4801-9f72-879e338ed962",
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"metadata": {
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"metadata": {},
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"execution": {
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"iopub.execute_input": "2025-08-13T11:53:04.589116Z",
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"iopub.status.busy": "2025-08-13T11:53:04.588495Z",
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"iopub.status.idle": "2025-08-13T11:53:04.762457Z",
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"shell.execute_reply": "2025-08-13T11:53:04.761877Z",
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"shell.execute_reply.started": "2025-08-13T11:53:04.589057Z"
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}
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"import json\n",
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"import json\n",
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": null,
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"id": "e3117237-b921-41fe-9b65-4918c5b2a165",
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"id": "e3117237-b921-41fe-9b65-4918c5b2a165",
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"metadata": {
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"metadata": {},
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"execution": {
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"iopub.execute_input": "2025-08-13T08:52:05.672800Z",
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"iopub.status.busy": "2025-08-13T08:52:05.672283Z",
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"iopub.status.idle": "2025-08-13T08:52:05.820901Z",
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"shell.execute_reply": "2025-08-13T08:52:05.820357Z",
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"shell.execute_reply.started": "2025-08-13T08:52:05.672751Z"
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}
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},
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"outputs": [],
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"outputs": [],
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||||||
"source": [
|
"source": [
|
||||||
"import json\n",
|
"import json\n",
|
||||||
@@ -1004,10 +957,260 @@
|
|||||||
" "
|
" "
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "fabb8138-ad15-43a0-abf5-c5ff73318333",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# 高危风险干预"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "5b5fcb90-e60e-4edd-929a-702fe93bd0e7",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## 导入干预人员名单"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 30,
|
||||||
|
"id": "396e64b8-c306-4613-9848-f0f183052b78",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2025-10-10T02:18:51.157197Z",
|
||||||
|
"iopub.status.busy": "2025-10-10T02:18:51.156880Z",
|
||||||
|
"iopub.status.idle": "2025-10-10T02:18:51.211412Z",
|
||||||
|
"shell.execute_reply": "2025-10-10T02:18:51.210755Z",
|
||||||
|
"shell.execute_reply.started": "2025-10-10T02:18:51.157161Z"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"210 ok\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"import json\n",
|
||||||
|
"import csv\n",
|
||||||
|
"import openpyxl\n",
|
||||||
|
"import time\n",
|
||||||
|
"from datetime import date\n",
|
||||||
|
"\n",
|
||||||
|
"wb = openpyxl.load_workbook('data/宁夏能化高危风险人群最终干预人员名单.xlsx',data_only=True)\n",
|
||||||
|
"sheet = wb.active\n",
|
||||||
|
"# sheets = wb.sheetnames\n",
|
||||||
|
"person = {}\n",
|
||||||
|
"for n in range(2, sheet.max_row+1):\n",
|
||||||
|
" code = int(sheet.cell(n, 2).value)\n",
|
||||||
|
" person.setdefault(code, {})\n",
|
||||||
|
" dict1 = {}\n",
|
||||||
|
" dict1['name'] = sheet.cell(n, 3).value\n",
|
||||||
|
" dict1['sex'] = sheet.cell(n, 4).value\n",
|
||||||
|
" dict1['unit'] = sheet.cell(n, 6).value\n",
|
||||||
|
" \n",
|
||||||
|
" \n",
|
||||||
|
" dict1['age'] = int(sheet.cell(n, 5).value)\n",
|
||||||
|
" person[code] = dict1\n",
|
||||||
|
"filename = 'data/宁夏能化干预人员.json'\n",
|
||||||
|
"with open(filename, 'w') as fl:\n",
|
||||||
|
" json.dump(person, fl, ensure_ascii=False)\n",
|
||||||
|
"print(len(person),'ok')"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "952544fd-0fc6-4365-a43b-a12cab537bb2",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## 获取问卷人员信息"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 23,
|
||||||
|
"id": "f60e8194-7ef6-49d8-8538-9b79f35bb64d",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2025-10-10T02:09:50.365387Z",
|
||||||
|
"iopub.status.busy": "2025-10-10T02:09:50.364816Z",
|
||||||
|
"iopub.status.idle": "2025-10-10T02:09:50.391653Z",
|
||||||
|
"shell.execute_reply": "2025-10-10T02:09:50.391205Z",
|
||||||
|
"shell.execute_reply.started": "2025-10-10T02:09:50.365335Z"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"145 ok\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"import json\n",
|
||||||
|
"import csv\n",
|
||||||
|
"import openpyxl\n",
|
||||||
|
"import time\n",
|
||||||
|
"from datetime import date\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"dict1 = {}\n",
|
||||||
|
"list1 = []\n",
|
||||||
|
"filename = 'data/sql_20251009.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",
|
||||||
|
"nn = 0\n",
|
||||||
|
"for item in list1:\n",
|
||||||
|
" dict2 = {}\n",
|
||||||
|
" name = item[1]\n",
|
||||||
|
" phone = str(item[2])[2:]\n",
|
||||||
|
" birth = str(item[4])\n",
|
||||||
|
" content = json.loads(item[0])\n",
|
||||||
|
" tcm = []\n",
|
||||||
|
" for i in range(0,60):\n",
|
||||||
|
" tcm.append(0)\n",
|
||||||
|
" for k, v in content.items(): \n",
|
||||||
|
" if 'tcm' not in k:\n",
|
||||||
|
" dict2[k] = v\n",
|
||||||
|
" else:\n",
|
||||||
|
" i = int(k[3:])\n",
|
||||||
|
" tcm[i-1] = int(v)\n",
|
||||||
|
" \n",
|
||||||
|
" code = int(dict2['code'])\n",
|
||||||
|
" dict1.setdefault(code,{})\n",
|
||||||
|
" dict1[code]['name'] = dict2['name']\n",
|
||||||
|
" if dict2['gender'] == 'm':\n",
|
||||||
|
" dict1[code]['sex'] = '男'\n",
|
||||||
|
" else:\n",
|
||||||
|
" dict1[code]['sex'] = '女'\n",
|
||||||
|
" dict1[code]['birth'] = str(item[4])\n",
|
||||||
|
" dict1[code]['unit'] = dict2['unit']\n",
|
||||||
|
" dict1[code]['phone'] = phone\n",
|
||||||
|
" dict1[code]['waist'] = dict2['waist']\n",
|
||||||
|
" dict1[code]['hip'] = dict2['hip']\n",
|
||||||
|
" dict1[code]['tcm'] = tcm\n",
|
||||||
|
"filename = 'data/survey_宁夏能化干预人员.json'\n",
|
||||||
|
"\n",
|
||||||
|
"with open(filename,'w') as fl:\n",
|
||||||
|
" json.dump(dict1, fl, ensure_ascii=False)\n",
|
||||||
|
"print(len(dict1),'ok')"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "93a9b31e-49ea-45cd-bb0b-5c3db19bbb54",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## 导出问卷人员信息"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 28,
|
||||||
|
"id": "f0853629-e971-492b-88c8-4e9521b4b017",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2025-10-10T02:16:14.316496Z",
|
||||||
|
"iopub.status.busy": "2025-10-10T02:16:14.315869Z",
|
||||||
|
"iopub.status.idle": "2025-10-10T02:16:14.344471Z",
|
||||||
|
"shell.execute_reply": "2025-10-10T02:16:14.343924Z",
|
||||||
|
"shell.execute_reply.started": "2025-10-10T02:16:14.316435Z"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"import json\n",
|
||||||
|
"import openpyxl\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"title = ['员工编号','姓名','性别','部门']\n",
|
||||||
|
"\n",
|
||||||
|
"filename = 'data/survey_宁夏能化干预人员.json'\n",
|
||||||
|
"with open(filename,'r') as fl:\n",
|
||||||
|
" dict1 = json.load(fl)\n",
|
||||||
|
"\n",
|
||||||
|
"filename = 'data/宁夏能化干预人员.json'\n",
|
||||||
|
"with open(filename,'r') as fl:\n",
|
||||||
|
" dict2 = json.load(fl)\n",
|
||||||
|
" \n",
|
||||||
|
"list1 = []\n",
|
||||||
|
"for k, v in dict2.items():\n",
|
||||||
|
" \n",
|
||||||
|
" if str(k) not in dict1.keys():\n",
|
||||||
|
" list2 = []\n",
|
||||||
|
" list2 = [k,v['name'],v['sex'],v['unit']] \n",
|
||||||
|
" list1.append(list2)\n",
|
||||||
|
"filename = 'data/宁夏能化干预人员未参加问卷人员（20251010）.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": 29,
|
||||||
|
"id": "22be8f39-afbb-448a-8ae6-c825c7d38757",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2025-10-10T02:18:10.620552Z",
|
||||||
|
"iopub.status.busy": "2025-10-10T02:18:10.619865Z",
|
||||||
|
"iopub.status.idle": "2025-10-10T02:18:10.652211Z",
|
||||||
|
"shell.execute_reply": "2025-10-10T02:18:10.651710Z",
|
||||||
|
"shell.execute_reply.started": "2025-10-10T02:18:10.620490Z"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"import json\n",
|
||||||
|
"import openpyxl\n",
|
||||||
|
"\n",
|
||||||
|
"\n",
|
||||||
|
"title = ['员工编号','姓名','性别','部门','手机号码']\n",
|
||||||
|
"\n",
|
||||||
|
"filename = 'data/survey_宁夏能化干预人员.json'\n",
|
||||||
|
"with open(filename,'r') as fl:\n",
|
||||||
|
" dict1 = json.load(fl)\n",
|
||||||
|
"\n",
|
||||||
|
"filename = 'data/宁夏能化干预人员.json'\n",
|
||||||
|
"with open(filename,'r') as fl:\n",
|
||||||
|
" dict2 = json.load(fl)\n",
|
||||||
|
" \n",
|
||||||
|
"list1 = []\n",
|
||||||
|
"for k, v in dict2.items():\n",
|
||||||
|
" \n",
|
||||||
|
" if str(k) in dict1.keys():\n",
|
||||||
|
" list2 = []\n",
|
||||||
|
" list2 = [k,v['name'],v['sex'],v['unit'],dict1[k]['phone']] \n",
|
||||||
|
" list1.append(list2)\n",
|
||||||
|
"filename = 'data/宁夏能化干预人员参加问卷人员（20251010）.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",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
"id": "6133f0d5-75aa-41c0-a624-b354d89b5ba3",
|
"id": "f32288ee-167c-4e2a-9679-5d927db34950",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": []
|
"source": []
|
||||||
|
|||||||
+1202
File diff suppressed because it is too large.
Load diff
+168
-25
@@ -10,15 +10,15 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 1,
|
"execution_count": 8,
|
||||||
"id": "d6449ec6-54af-4f68-8c32-69372e390acf",
|
"id": "d6449ec6-54af-4f68-8c32-69372e390acf",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-09-22T03:30:37.564857Z",
|
"iopub.execute_input": "2025-09-22T12:07:43.029162Z",
|
||||||
"iopub.status.busy": "2025-09-22T03:30:37.564250Z",
|
"iopub.status.busy": "2025-09-22T12:07:43.028847Z",
|
||||||
"iopub.status.idle": "2025-09-22T03:30:37.781384Z",
|
"iopub.status.idle": "2025-09-22T12:07:43.046141Z",
|
||||||
"shell.execute_reply": "2025-09-22T03:30:37.780531Z",
|
"shell.execute_reply": "2025-09-22T12:07:43.045652Z",
|
||||||
"shell.execute_reply.started": "2025-09-22T03:30:37.564798Z"
|
"shell.execute_reply.started": "2025-09-22T12:07:43.029136Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -45,7 +45,7 @@
|
|||||||
" person.setdefault(code, {})\n",
|
" person.setdefault(code, {})\n",
|
||||||
" dict1 = {}\n",
|
" dict1 = {}\n",
|
||||||
" dict1['name'] = sheet.cell(n, 2).value\n",
|
" dict1['name'] = sheet.cell(n, 2).value\n",
|
||||||
" #dict1['sex'] = sheet.cell(n, 5).value\n",
|
" dict1['sex'] = sheet.cell(n, 6).value\n",
|
||||||
" dict1['unit'] = sheet.cell(n, 4).value \n",
|
" dict1['unit'] = sheet.cell(n, 4).value \n",
|
||||||
" dict1['birth'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0]\n",
|
" dict1['birth'] = str(sheet.cell(n, 3).value).replace('/','-').split(' ')[0]\n",
|
||||||
" dict1['phone'] = sheet.cell(n, 5).value \n",
|
" dict1['phone'] = sheet.cell(n, 5).value \n",
|
||||||
@@ -66,15 +66,15 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 5,
|
"execution_count": 15,
|
||||||
"id": "c24c957e-6cc5-4cab-81e2-cec86a7498c7",
|
"id": "c24c957e-6cc5-4cab-81e2-cec86a7498c7",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-09-22T03:48:21.444109Z",
|
"iopub.execute_input": "2025-09-22T12:49:46.218013Z",
|
||||||
"iopub.status.busy": "2025-09-22T03:48:21.443422Z",
|
"iopub.status.busy": "2025-09-22T12:49:46.217356Z",
|
||||||
"iopub.status.idle": "2025-09-22T03:48:21.472961Z",
|
"iopub.status.idle": "2025-09-22T12:49:46.243578Z",
|
||||||
"shell.execute_reply": "2025-09-22T03:48:21.472454Z",
|
"shell.execute_reply": "2025-09-22T12:49:46.242996Z",
|
||||||
"shell.execute_reply.started": "2025-09-22T03:48:21.444045Z"
|
"shell.execute_reply.started": "2025-09-22T12:49:46.217955Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -82,7 +82,7 @@
|
|||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"33\n"
|
"31\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -144,11 +144,61 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": 16,
|
||||||
"id": "a64ad6b7-b1dd-42ca-9619-3adcb8e0674e",
|
"id": "a64ad6b7-b1dd-42ca-9619-3adcb8e0674e",
|
||||||
"metadata": {},
|
"metadata": {
|
||||||
"outputs": [],
|
"execution": {
|
||||||
"source": []
|
"iopub.execute_input": "2025-09-22T12:49:52.460408Z",
|
||||||
|
"iopub.status.busy": "2025-09-22T12:49:52.459655Z",
|
||||||
|
"iopub.status.idle": "2025-09-22T12:49:52.470790Z",
|
||||||
|
"shell.execute_reply": "2025-09-22T12:49:52.469571Z",
|
||||||
|
"shell.execute_reply.started": "2025-09-22T12:49:52.460338Z"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"ok!\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"import json\n",
|
||||||
|
"import time\n",
|
||||||
|
"import my_module as My\n",
|
||||||
|
"\n",
|
||||||
|
"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
|
||||||
|
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
|
||||||
|
"filename = 'data/result_通用技术中国医药.json'\n",
|
||||||
|
"with open(filename,'r') as fl:\n",
|
||||||
|
" dict2 = json.load(fl) \n",
|
||||||
|
"for k, v in dict2.items():\n",
|
||||||
|
" #print(k)\n",
|
||||||
|
" if v['sex'] == '男':\n",
|
||||||
|
" sex = 'M'\n",
|
||||||
|
" else:\n",
|
||||||
|
" sex = 'F' \n",
|
||||||
|
" if 'bmi' in v.keys():\n",
|
||||||
|
" #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
|
||||||
|
" bmi_data = v['bmi']['成绩']\n",
|
||||||
|
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
|
||||||
|
" dict2[k]['bmi'] = {}\n",
|
||||||
|
" dict2[k]['bmi']['成绩'] = bmi_data\n",
|
||||||
|
" dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n",
|
||||||
|
" for item_en in list_item:\n",
|
||||||
|
" if item_en in v.keys(): \n",
|
||||||
|
" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(str(v[item_en]['成绩']).split()[0])}\n",
|
||||||
|
" #print(k,v['name'])\n",
|
||||||
|
" dict2[k][item_en]['score'] = My.cal_score(data1)\n",
|
||||||
|
" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
|
||||||
|
"\n",
|
||||||
|
"filename = f'data/result_通用技术中国医药.json'\n",
|
||||||
|
"with open(filename,'w') as fl:\n",
|
||||||
|
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||||||
|
"print('ok!') "
|
||||||
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
@@ -160,15 +210,15 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 7,
|
"execution_count": 17,
|
||||||
"id": "020be101-938b-427e-918d-faf2e74b5b7e",
|
"id": "020be101-938b-427e-918d-faf2e74b5b7e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-09-22T03:57:31.502714Z",
|
"iopub.execute_input": "2025-09-22T12:49:55.871938Z",
|
||||||
"iopub.status.busy": "2025-09-22T03:57:31.501987Z",
|
"iopub.status.busy": "2025-09-22T12:49:55.871204Z",
|
||||||
"iopub.status.idle": "2025-09-22T03:57:31.516781Z",
|
"iopub.status.idle": "2025-09-22T12:49:55.886755Z",
|
||||||
"shell.execute_reply": "2025-09-22T03:57:31.515780Z",
|
"shell.execute_reply": "2025-09-22T12:49:55.885950Z",
|
||||||
"shell.execute_reply.started": "2025-09-22T03:57:31.502649Z"
|
"shell.execute_reply.started": "2025-09-22T12:49:55.871866Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -244,10 +294,103 @@
|
|||||||
" json.dump(dict1, fl, ensure_ascii=False)"
|
" json.dump(dict1, fl, ensure_ascii=False)"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "7ec62459-2938-4c0c-b35a-f4341630f1c6",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"## 生成报告"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 19,
|
||||||
|
"id": "17dd5667-d970-46d2-b241-27338dbba4bb",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2025-09-22T12:51:00.278870Z",
|
||||||
|
"iopub.status.busy": "2025-09-22T12:51:00.278200Z",
|
||||||
|
"iopub.status.idle": "2025-09-22T12:51:14.234951Z",
|
||||||
|
"shell.execute_reply": "2025-09-22T12:51:14.233971Z",
|
||||||
|
"shell.execute_reply.started": "2025-09-22T12:51:00.278810Z"
|
||||||
|
},
|
||||||
|
"scrolled": true
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"31\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_通用技术中国医药-1.json'\n",
|
||||||
|
"with open(filename,'r') as fl:\n",
|
||||||
|
" dict1 = json.load(fl)\n",
|
||||||
|
"list1 = []\n",
|
||||||
|
"file_path ='./中国医药/'\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'] = '中国医药'\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','psy57','spine']\n",
|
||||||
|
" for item in survey_list:\n",
|
||||||
|
" if item in v.keys():\n",
|
||||||
|
" mydata.setdefault('surveys',{})\n",
|
||||||
|
" mydata['surveys'][item] = v[item]\n",
|
||||||
|
" \n",
|
||||||
|
" \n",
|
||||||
|
" #mydata['fits'] = {}\n",
|
||||||
|
" for item in list_item:\n",
|
||||||
|
" if item in v.keys():\n",
|
||||||
|
" mydata.setdefault('fits',{})\n",
|
||||||
|
" if item in ['lung','pushup','step','situp']:\n",
|
||||||
|
" mark = str(v[item]['成绩']).split()[0].split('.')[0]\n",
|
||||||
|
" else:\n",
|
||||||
|
" mark = str(v[item]['成绩']).split()[0]\n",
|
||||||
|
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
|
||||||
|
" if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n",
|
||||||
|
" #if len(mydata['fits']) >2 : \n",
|
||||||
|
" list1.append(mydata)\n",
|
||||||
|
" list2.append([k,v['name']])\n",
|
||||||
|
" i+=1\n",
|
||||||
|
" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
|
||||||
|
" #print(id,v['name'],x.text)\n",
|
||||||
|
" #print(mydata)\n",
|
||||||
|
" #x.close()\n",
|
||||||
|
"print(i)"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
"id": "9560d0ca-4d39-400b-b054-214e243ca4e5",
|
"id": "4297b542-206e-4f0e-9339-ba88e712443e",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": []
|
"source": []
|
||||||
|
|||||||
+9
-33
@@ -114,40 +114,15 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": 3,
|
||||||
"id": "11ff2c59-5815-42c9-abaf-71c8c2a3b7da",
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": [
|
|
||||||
"import os,sys,shutil\n",
|
|
||||||
"from pathlib import Path\n",
|
|
||||||
"\n",
|
|
||||||
"fi_path = 'file/北海/未参加体测人员报告'\n",
|
|
||||||
"new_path = 'file/北海/new/未参加体测人员'\n",
|
|
||||||
"pdf_files = list(fi_path.glob('**/*.pdf'))\n",
|
|
||||||
"\n",
|
|
||||||
"for fn in fls:\n",
|
|
||||||
" fi_name =Path(fn).stem.split('-')[0]\n",
|
|
||||||
" code = int(fi_name) \n",
|
|
||||||
" unit_path = Path(new_path,dict1[str(code)]['unit'])\n",
|
|
||||||
" unit_path.mkdir(parents = True, exist_ok = True)\n",
|
|
||||||
" n_name = Path(unit_path,Path(fn).stem+'.pdf')\n",
|
|
||||||
" #if not os.path.exists(n_name):\n",
|
|
||||||
" shutil.copyfile(fn,n_name)\n",
|
|
||||||
" print(fn)"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": 9,
|
|
||||||
"id": "62ff063a-5380-4e08-b115-acd967441ca4",
|
"id": "62ff063a-5380-4e08-b115-acd967441ca4",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-09-16T02:36:40.592582Z",
|
"iopub.execute_input": "2025-09-17T00:08:50.471131Z",
|
||||||
"iopub.status.busy": "2025-09-16T02:36:40.591749Z",
|
"iopub.status.busy": "2025-09-17T00:08:50.470548Z",
|
||||||
"iopub.status.idle": "2025-09-16T02:36:40.635821Z",
|
"iopub.status.idle": "2025-09-17T00:08:51.110490Z",
|
||||||
"shell.execute_reply": "2025-09-16T02:36:40.635329Z",
|
"shell.execute_reply": "2025-09-17T00:08:51.109925Z",
|
||||||
"shell.execute_reply.started": "2025-09-16T02:36:40.592518Z"
|
"shell.execute_reply.started": "2025-09-17T00:08:50.471076Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -155,8 +130,9 @@
|
|||||||
"import os,sys,shutil\n",
|
"import os,sys,shutil\n",
|
||||||
"from pathlib import Path\n",
|
"from pathlib import Path\n",
|
||||||
"\n",
|
"\n",
|
||||||
"fi_path =Path('file/北海/未参加体测人员报告')\n",
|
"fi_path = Path('file/北海/2022年')\n",
|
||||||
"new_path = 'file/北海/new/未参加体测人员'\n",
|
"new_path = 'file/北海/new/2022年'\n",
|
||||||
|
"pdf_files = list(fi_path.glob('**/*.pdf'))\n",
|
||||||
"fls = list(fi_path.glob('**/*.pdf'))\n",
|
"fls = list(fi_path.glob('**/*.pdf'))\n",
|
||||||
"for fn in fls:\n",
|
"for fn in fls:\n",
|
||||||
" fi_name =Path(fn).name\n",
|
" fi_name =Path(fn).name\n",
|
||||||
|
|||||||
Reference in new issue
Block a user