20250916
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-116
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+25
-15
@@ -2376,15 +2376,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 4,
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"id": "6f9768ce-2ef5-4253-9fc6-49dbdcf00a19",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-27T15:45:05.548263Z",
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"iopub.status.idle": "2025-07-27T15:45:05.559268Z",
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"shell.execute_reply": "2025-07-27T15:45:05.558385Z",
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"shell.execute_reply.started": "2025-07-27T15:45:05.548183Z"
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"iopub.execute_input": "2025-09-16T02:05:51.668240Z",
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"shell.execute_reply": "2025-09-16T02:05:51.677348Z",
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"shell.execute_reply.started": "2025-09-16T02:05:51.668169Z"
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}
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},
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"outputs": [],
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@@ -2502,7 +2502,17 @@
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"list2 = ['成就感','愉快心境','放松程度','压力应对','体力充沛','情感充沛度']\n",
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"list3 = [[5,7],[7,4],[7,4],[7,4],[8,1],[6,1]] \n",
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"list4 = ['颈椎','胸椎','腰椎','骶尾椎']\n",
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"list5 = [[0,10,10],[10,17,7],[17,24,6],[24,26,2]]"
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"list5 = [[0,10,10],[10,17,7],[17,24,6],[24,26,2]]\n",
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"\n",
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"\n",
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"qb = [\n",
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" 1, 1, 1, 1, 1,\n",
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" 4, 3, 2, 3, 2, 4, 3,\n",
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" 4, 3, 2, 4, 4, 2, 4,\n",
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" 3, 2, 2, 4, 3, 3, 2,\n",
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" 5, 5, 5, 5, 5, 5, 5, 5,\n",
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" 6, 6, 6, 6, 6, 6\n",
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" ]"
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]
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},
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{
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@@ -2742,15 +2752,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 5,
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"id": "9ecd3ad8-c8af-4f3e-90e5-1618fea905a4",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-07-27T15:47:28.099497Z",
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"iopub.status.busy": "2025-07-27T15:47:28.098682Z",
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"iopub.status.idle": "2025-07-27T15:47:28.154741Z",
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"shell.execute_reply": "2025-07-27T15:47:28.154263Z",
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"shell.execute_reply.started": "2025-07-27T15:47:28.099431Z"
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"iopub.execute_input": "2025-09-16T02:06:01.244917Z",
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"iopub.status.busy": "2025-09-16T02:06:01.244267Z",
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||||
"iopub.status.idle": "2025-09-16T02:06:01.629798Z",
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"shell.execute_reply": "2025-09-16T02:06:01.629334Z",
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"shell.execute_reply.started": "2025-09-16T02:06:01.244858Z"
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}
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},
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"outputs": [],
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@@ -2758,7 +2768,7 @@
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"import openpyxl\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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"filename = 'data/result_新疆油田采油工艺研究院-1.json'\n",
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"filename = 'data/result_北海炼化2023.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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"data_list = []\n",
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@@ -2840,7 +2850,7 @@
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" list6.append('')\n",
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" i+=1\n",
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" data_list.append(list6)\n",
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"filename = 'data/新疆油田采油工艺研究院测试情况表.xlsx'\n",
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"filename = 'data/北海炼化测试情况表2023.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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+4
-4
@@ -1982,9 +1982,7 @@
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{
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"cell_type": "markdown",
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"id": "a51dadfb-30e7-40f3-a437-321aa986a10f",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"metadata": {},
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"source": [
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"# 北海体检情况汇总"
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]
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@@ -2091,7 +2089,9 @@
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{
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"cell_type": "markdown",
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"id": "76c5c17a-462d-4a7b-95a5-6b895f5a25dc",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"# 2024年体质检测"
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]
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+133
-72
@@ -435,18 +435,26 @@
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},
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{
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"cell_type": "code",
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"execution_count": 60,
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"execution_count": 19,
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"id": "9b801085-ca98-4958-8dcc-bcd9985fcd4b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-08-20T04:29:28.410551Z",
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"iopub.status.busy": "2025-08-20T04:29:28.403719Z",
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"iopub.status.idle": "2025-08-20T04:29:28.443048Z",
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"shell.execute_reply": "2025-08-20T04:29:28.440751Z",
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"shell.execute_reply.started": "2025-08-20T04:29:28.410496Z"
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"iopub.execute_input": "2025-09-01T07:20:37.177771Z",
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"iopub.status.busy": "2025-09-01T07:20:37.177055Z",
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"iopub.status.idle": "2025-09-01T07:20:37.198841Z",
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"shell.execute_reply": "2025-09-01T07:20:37.198253Z",
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"shell.execute_reply.started": "2025-09-01T07:20:37.177707Z"
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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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"83\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 csv\n",
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@@ -461,7 +469,7 @@
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"\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/survey_records_20250820.csv'\n",
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"filename = 'data/survey_records_20250901.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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@@ -478,7 +486,13 @@
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" \n",
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" content = json.loads(item[4]) \n",
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" phone = content['phone']\n",
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" dict1.setdefault(phone,{})\n",
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" name = content['name']\n",
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" for k,v in dict3.items():\n",
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" if name == v['name']:\n",
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" code = k\n",
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" unit = v['unit']\n",
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" sex = v['sex']\n",
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" dict1.setdefault(code,{})\n",
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" \n",
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" #rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n",
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" #dict1[phone]['rq'] = str(date.fromisoformat(item[5].replace('/','-').split(' ')[0]))\n",
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@@ -489,19 +503,21 @@
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" tcm[i-1] = int(v) \n",
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" \n",
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" if 'tcm' in item[4]: \n",
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" dict1[phone]['tcm'] = tcm\n",
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" dict1[code]['tcm'] = tcm\n",
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" \n",
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" dict1[phone]['name'] = content['name']\n",
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" dict1[phone]['sex'] = content['gender']\n",
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" dict1[phone]['weight'] = content['weight']\n",
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" dict1[phone]['tun'] = content['hip']\n",
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" dict1[phone]['yao'] = content['waist']\n",
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" dict1[code]['name'] = content['name']\n",
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" dict1[code]['unit'] = unit\n",
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" dict1[code]['sex'] = sex\n",
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" dict1[code]['weight'] = content['weight']\n",
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" dict1[code]['tun'] = content['hip']\n",
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" dict1[code]['yao'] = content['waist']\n",
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" #print(phone[item[2]])\n",
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" nn+=1\n",
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"filename = 'data/result_南京化工-2.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)"
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" json.dump(dict1, fl, ensure_ascii=False)\n",
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"print(len(dict1))"
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]
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},
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{
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@@ -557,26 +573,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 62,
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||||
"execution_count": null,
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||||
"id": "e233e6c3-9c3f-42c7-8057-012bbcfe8b26",
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"metadata": {
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||||
"execution": {
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||||
"iopub.execute_input": "2025-08-20T04:29:47.260065Z",
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||||
"iopub.status.busy": "2025-08-20T04:29:47.255846Z",
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||||
"iopub.status.idle": "2025-08-20T04:29:47.343088Z",
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||||
"shell.execute_reply": "2025-08-20T04:29:47.342363Z",
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||||
"shell.execute_reply.started": "2025-08-20T04:29:47.260018Z"
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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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"metadata": {},
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||||
"outputs": [],
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||||
"source": [
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"import openpyxl\n",
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"import json\n",
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@@ -722,7 +722,7 @@
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" list3.append(item)\n",
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" list2.append(list3)\n",
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"\n",
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"filename = 'data/南化第二次问卷明细表(截至20250820).xlsx'\n",
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"filename = 'data/南化第二次问卷明细表(截至20250831).xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"\n",
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@@ -789,8 +789,8 @@
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"#llama_docs = llama_reader.load_data(\"data/1782596-唐荣.pdf\")\n",
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"\n",
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"\n",
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"target_directory = Path('./file/南化体重/new')\n",
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"new_path = './file/南化体重/md'\n",
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"target_directory = Path('./file/北海体检报告')\n",
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"new_path = './file/北海体检报告/md'\n",
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"\n",
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"\n",
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"for fl in target_directory.rglob('*.pdf'):\n",
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@@ -846,11 +846,11 @@
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_南京化工-1.json'\n",
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"filename = 'data/result_南京化工-2.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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"list1 = []\n",
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"file_path ='./南京化工/'\n",
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"file_path ='./南京化工第二批问卷/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i=0\n",
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"list2 = []\n",
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@@ -861,7 +861,7 @@
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" id = str(k).rjust(4,\"0\")\n",
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" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '南化公司'\n",
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" mydata['subtitle'] = v['unit']\n",
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" mydata['subtitle'] = ''#v['unit']\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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" if v['sex'] == '男':\n",
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@@ -899,6 +899,91 @@
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"print(i)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "007a67c3-3590-47d9-a6d3-9080574a7940",
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"metadata": {},
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"source": [
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"### 生成报告(单问卷)"
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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": 20,
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"id": "fc2bfab2-7f56-4abf-b2c4-0fb49a0da563",
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"metadata": {
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||||
"execution": {
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||||
"iopub.execute_input": "2025-09-01T07:20:49.606201Z",
|
||||
"iopub.status.busy": "2025-09-01T07:20:49.605939Z",
|
||||
"iopub.status.idle": "2025-09-01T07:21:08.746449Z",
|
||||
"shell.execute_reply": "2025-09-01T07:21:08.745281Z",
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"shell.execute_reply.started": "2025-09-01T07:20:49.606179Z"
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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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"83\n"
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]
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}
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],
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"source": [
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"import requests\n",
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"import json\n",
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"import openpyxl\n",
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"\n",
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"\n",
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_南京化工-2.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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"list1 = []\n",
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"file_path ='./南京化工第二批问卷/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i=0\n",
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"list2 = []\n",
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"for k, v in dict1.items():\n",
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" list1 = []\n",
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" mydata = {}\n",
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" \n",
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" id = str(k)\n",
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" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '南化公司'\n",
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" mydata['subtitle'] = v['unit']\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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" if v['sex'] == 'm':\n",
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" mydata['gender'] = 'male'\n",
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" else:\n",
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" mydata['gender'] = 'female'\n",
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" \n",
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" #mydata['month'] = v['month']\n",
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" #mydata['fits'] = {}\n",
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" survey_list = ['tcm','psy57','spine']\n",
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" for item in survey_list:\n",
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" if item in v.keys():\n",
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" mydata.setdefault('surveys',{})\n",
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" mydata['surveys'][item] = v[item]\n",
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" \n",
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" \n",
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" #mydata['fits'] = {}\n",
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" \n",
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" if len(mydata['surveys']) >0:\n",
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" #if len(mydata['fits']) >2 : \n",
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" list1.append(mydata)\n",
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" list2.append([k,v['name']])\n",
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" i+=1\n",
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" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
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" #print(id,v['name'],x.text)\n",
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" #print(mydata)\n",
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" #x.close()\n",
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"print(i)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "42f1a67c-756a-4cf0-bd53-d71fb9c95aa6",
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@@ -909,17 +994,9 @@
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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": null,
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"id": "c2fb2c7c-6541-4c41-ba38-0e1fee29aa97",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-08-14T11:18:53.769605Z",
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"iopub.status.busy": "2025-08-14T11:18:53.769133Z",
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||||
"iopub.status.idle": "2025-08-14T11:18:53.803613Z",
|
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"shell.execute_reply": "2025-08-14T11:18:53.803014Z",
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"shell.execute_reply.started": "2025-08-14T11:18:53.769567Z"
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}
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},
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"metadata": {},
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"outputs": [],
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"source": [
|
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"from pathlib import Path\n",
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@@ -1013,17 +1090,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 54,
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"execution_count": null,
|
||||
"id": "daa1b36e-1b62-49ee-9539-84c2d286fefe",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-08-14T11:19:18.851515Z",
|
||||
"iopub.status.busy": "2025-08-14T11:19:18.850941Z",
|
||||
"iopub.status.idle": "2025-08-14T11:19:18.941694Z",
|
||||
"shell.execute_reply": "2025-08-14T11:19:18.941103Z",
|
||||
"shell.execute_reply.started": "2025-08-14T11:19:18.851460Z"
|
||||
}
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
@@ -1081,17 +1150,9 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 55,
|
||||
"execution_count": null,
|
||||
"id": "221b35dc-3a17-4950-993c-b634ee9a53cf",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-08-15T00:53:31.414664Z",
|
||||
"iopub.status.busy": "2025-08-15T00:53:31.413959Z",
|
||||
"iopub.status.idle": "2025-08-15T00:53:32.212146Z",
|
||||
"shell.execute_reply": "2025-08-15T00:53:32.211576Z",
|
||||
"shell.execute_reply.started": "2025-08-15T00:53:31.414598Z"
|
||||
}
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from spire.pdf.common import *\n",
|
||||
@@ -1101,7 +1162,7 @@
|
||||
"pdf = PdfDocument()\n",
|
||||
"\n",
|
||||
"# 加载PDF文档\n",
|
||||
"pdf.LoadFromFile(\"file/南化体重/new/1782596-唐荣.pdf\")\n",
|
||||
"pdf.LoadFromFile(\"file/北海体检报告/2405280074.pdf\")\n",
|
||||
"\n",
|
||||
"# 将PDF转换为Markdown文件\n",
|
||||
"pdf.SaveToFile(\"PDF转Markdown.md\", FileFormat.Markdown)\n",
|
||||
|
||||
@@ -340,6 +340,55 @@
|
||||
"wb.save(filename)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"id": "75b98b19-ab32-414a-b3f2-6efd58e1f9a9",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-08-28T09:16:02.802494Z",
|
||||
"iopub.status.busy": "2025-08-28T09:16:02.801898Z",
|
||||
"iopub.status.idle": "2025-08-28T09:16:02.994884Z",
|
||||
"shell.execute_reply": "2025-08-28T09:16:02.994340Z",
|
||||
"shell.execute_reply.started": "2025-08-28T09:16:02.802438Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import openpyxl\n",
|
||||
"\n",
|
||||
"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
|
||||
"title = ['编号','姓名','性别','单位','部门','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",
|
||||
"\n",
|
||||
"filename = 'data/result_宁夏能化人员all.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"\n",
|
||||
"filename = 'data/宁夏能化人员all.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict2 = json.load(fl)\n",
|
||||
" \n",
|
||||
"list1 = []\n",
|
||||
"for k, v in dict1.items():\n",
|
||||
" list2 = []\n",
|
||||
" list2.append(str(k).rjust(5,'0'))\n",
|
||||
" list2.append(v['name']) \n",
|
||||
" list2.append(v['sex'])\n",
|
||||
" list2.append(v['unit'])\n",
|
||||
" list2.append(v['age'])\n",
|
||||
" \n",
|
||||
" list1.append(list2)\n",
|
||||
"filename = 'data/宁夏能化测试人员年龄情况明细表.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": "markdown",
|
||||
"id": "699c6a40-a6ae-4300-9646-708cb85aa5e8",
|
||||
|
||||
+62
-15
@@ -47,10 +47,26 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 1,
|
||||
"id": "de3144e7-544a-4430-bf69-3d20479d50c9",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-08-25T07:09:50.818045Z",
|
||||
"iopub.status.busy": "2025-08-25T07:09:50.817355Z",
|
||||
"iopub.status.idle": "2025-08-25T07:09:51.017532Z",
|
||||
"shell.execute_reply": "2025-08-25T07:09:51.017045Z",
|
||||
"shell.execute_reply.started": "2025-08-25T07:09:50.817980Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"30 ok\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import openpyxl\n",
|
||||
"import json\n",
|
||||
@@ -90,12 +106,27 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 2,
|
||||
"id": "970e171e-1360-448f-a28c-520ccb8f314a",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-08-25T07:10:06.792695Z",
|
||||
"iopub.status.busy": "2025-08-25T07:10:06.791764Z",
|
||||
"iopub.status.idle": "2025-08-25T07:10:06.809711Z",
|
||||
"shell.execute_reply": "2025-08-25T07:10:06.808745Z",
|
||||
"shell.execute_reply.started": "2025-08-25T07:10:06.792617Z"
|
||||
},
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"25\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import datetime\n",
|
||||
@@ -152,10 +183,26 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 5,
|
||||
"id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-08-25T07:13:08.181827Z",
|
||||
"iopub.status.busy": "2025-08-25T07:13:08.181087Z",
|
||||
"iopub.status.idle": "2025-08-25T07:13:08.195674Z",
|
||||
"shell.execute_reply": "2025-08-25T07:13:08.194568Z",
|
||||
"shell.execute_reply.started": "2025-08-25T07:13:08.181758Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"ok!\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import time\n",
|
||||
@@ -186,7 +233,7 @@
|
||||
" 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_新疆油田采油工艺研究院1.json'\n",
|
||||
"filename = f'data/result_新疆油田采油工艺研究院1-1.json'\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(dict2,fl , ensure_ascii=False) \n",
|
||||
"print('ok!') "
|
||||
@@ -524,11 +571,11 @@
|
||||
"id": "23ffd115-72a3-4f90-9e64-ffa6420df8a4",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-08-13T02:43:03.163356Z",
|
||||
"iopub.status.busy": "2025-08-13T02:43:03.162804Z",
|
||||
"iopub.status.idle": "2025-08-13T02:43:17.799933Z",
|
||||
"shell.execute_reply": "2025-08-13T02:43:17.799273Z",
|
||||
"shell.execute_reply.started": "2025-08-13T02:43:03.163305Z"
|
||||
"iopub.execute_input": "2025-08-25T07:13:29.388206Z",
|
||||
"iopub.status.busy": "2025-08-25T07:13:29.387452Z",
|
||||
"iopub.status.idle": "2025-08-25T07:13:42.980504Z",
|
||||
"shell.execute_reply": "2025-08-25T07:13:42.979631Z",
|
||||
"shell.execute_reply.started": "2025-08-25T07:13:29.388132Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
@@ -536,7 +583,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"24\n"
|
||||
"25\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
+61
-8
@@ -47,7 +47,7 @@
|
||||
" dict1 = {}\n",
|
||||
" dict1['name'] = sheet.cell(n, 2).value\n",
|
||||
" dict1['sex'] = sheet.cell(n, 3).value\n",
|
||||
" dict1['unit'] = '第二期'\n",
|
||||
" dict1['unit'] = '第三期'\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",
|
||||
@@ -60,6 +60,59 @@
|
||||
"print('ok')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "a5cc3bda-6381-438c-822a-5b5a51771143",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-08-28T05:29:40.352838Z",
|
||||
"iopub.status.busy": "2025-08-28T05:29:40.352130Z",
|
||||
"iopub.status.idle": "2025-08-28T05:29:40.378000Z",
|
||||
"shell.execute_reply": "2025-08-28T05:29:40.377427Z",
|
||||
"shell.execute_reply.started": "2025-08-28T05:29:40.352773Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"46\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2025年秋季报名表.xlsx')\n",
|
||||
"sheet = wb.active\n",
|
||||
"# sheets = wb.sheetnames\n",
|
||||
"person = {}\n",
|
||||
"\n",
|
||||
"for n in range(2, sheet.max_row+1):\n",
|
||||
" code = int(sheet.cell(n, 1).value)\n",
|
||||
" person.setdefault(code, {})\n",
|
||||
" dict1 = {}\n",
|
||||
" dict1['name'] = sheet.cell(n, 2).value\n",
|
||||
" dict1['sex'] = sheet.cell(n, 3).value\n",
|
||||
" dict1['unit'] = '2025年秋季'\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2025年秋季.json'\n",
|
||||
"with open(filename, 'w') as fl:\n",
|
||||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||||
"print(len(person))\n",
|
||||
"print('ok')\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "40f2c77d-1504-4288-9ed0-a0a4678579ee",
|
||||
@@ -70,15 +123,15 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"execution_count": 4,
|
||||
"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"
|
||||
"iopub.execute_input": "2025-08-28T05:29:44.681746Z",
|
||||
"iopub.status.busy": "2025-08-28T05:29:44.680983Z",
|
||||
"iopub.status.idle": "2025-08-28T05:29:44.691981Z",
|
||||
"shell.execute_reply": "2025-08-28T05:29:44.690831Z",
|
||||
"shell.execute_reply.started": "2025-08-28T05:29:44.681674Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
@@ -93,7 +146,7 @@
|
||||
"source": [
|
||||
"import json\n",
|
||||
"\n",
|
||||
"filename = 'data/海淀区老干部大学第一期.json'\n",
|
||||
"filename = 'data/海淀区老干部大学2025年秋季.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"list1 = []\n",
|
||||
|
||||
+62
-2
@@ -104,6 +104,66 @@
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e22401f7-9c02-4c4b-a935-e844e56d099b",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 汇总目录下所有文件"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"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",
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2025-09-16T02:36:40.592582Z",
|
||||
"iopub.status.busy": "2025-09-16T02:36:40.591749Z",
|
||||
"iopub.status.idle": "2025-09-16T02:36:40.635821Z",
|
||||
"shell.execute_reply": "2025-09-16T02:36:40.635329Z",
|
||||
"shell.execute_reply.started": "2025-09-16T02:36:40.592518Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os,sys,shutil\n",
|
||||
"from pathlib import Path\n",
|
||||
"\n",
|
||||
"fi_path =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",
|
||||
"fls = list(fi_path.glob('**/*.pdf'))\n",
|
||||
"for fn in fls:\n",
|
||||
" fi_name =Path(fn).name\n",
|
||||
" n_name = Path(new_path,fi_name)\n",
|
||||
" shutil.copyfile(fn,n_name)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
@@ -1370,7 +1430,7 @@
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
@@ -1384,7 +1444,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.10"
|
||||
"version": "3.12.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Reference in new issue
Block a user