20251107
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512song committed
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5 files changed
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+256
-83
@@ -47,26 +47,10 @@
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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": null,
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"id": "de3144e7-544a-4430-bf69-3d20479d50c9",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-08-25T07:09:50.818045Z",
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"shell.execute_reply.started": "2025-08-25T07:09:50.817980Z"
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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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"30 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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@@ -106,27 +90,12 @@
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},
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{
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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": "970e171e-1360-448f-a28c-520ccb8f314a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-08-25T07:10:06.792695Z",
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"iopub.status.busy": "2025-08-25T07:10:06.791764Z",
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"iopub.status.idle": "2025-08-25T07:10:06.809711Z",
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"shell.execute_reply": "2025-08-25T07:10:06.808745Z",
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"shell.execute_reply.started": "2025-08-25T07:10:06.792617Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"25\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import json\n",
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"import datetime\n",
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@@ -183,26 +152,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"id": "0905ad6a-f7e4-43ed-ae29-c4850deb946b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-08-25T07:13:08.181827Z",
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"iopub.status.busy": "2025-08-25T07:13:08.181087Z",
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"iopub.status.idle": "2025-08-25T07:13:08.195674Z",
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"shell.execute_reply": "2025-08-25T07:13:08.194568Z",
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"shell.execute_reply.started": "2025-08-25T07:13:08.181758Z"
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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 json\n",
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"import time\n",
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@@ -249,16 +202,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": null,
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"id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-08-13T02:46:29.876079Z",
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"iopub.status.busy": "2025-08-13T02:46:29.875587Z",
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"iopub.status.idle": "2025-08-13T02:46:29.904595Z",
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"shell.execute_reply": "2025-08-13T02:46:29.904071Z",
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"shell.execute_reply.started": "2025-08-13T02:46:29.876014Z"
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},
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"tags": []
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},
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"outputs": [],
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@@ -567,26 +513,10 @@
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},
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{
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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": "23ffd115-72a3-4f90-9e64-ffa6420df8a4",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-08-25T07:13:29.388206Z",
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"iopub.status.busy": "2025-08-25T07:13:29.387452Z",
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"iopub.status.idle": "2025-08-25T07:13:42.980504Z",
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"shell.execute_reply": "2025-08-25T07:13:42.979631Z",
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"shell.execute_reply.started": "2025-08-25T07:13:29.388132Z"
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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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"25\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 requests\n",
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"import json\n",
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@@ -649,10 +579,253 @@
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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": "ffb6c02a-8ae1-4332-96ca-ce541bfbf0be",
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"metadata": {},
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"source": [
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"## 问卷信息统计"
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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": null,
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"id": "87556725-f68a-484b-827c-f6735155e940",
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"id": "d22061b2-0109-4d6c-90d7-c31d9e318add",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/sql_20251106.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" list1.append(line)\n",
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"nn = 0\n",
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"for item in list1:\n",
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" dict2 = {}\n",
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" \n",
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" phone = str(item[0])[2:]\n",
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" content = json.loads(json.loads(item[1]))\n",
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" tcm = []\n",
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" for i in range(0,60):\n",
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" tcm.append(0)\n",
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" for k, v in content.items(): \n",
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" if 'tcm' not in k:\n",
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" dict2[k] = v\n",
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" else:\n",
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" i = int(k[3:])\n",
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" tcm[i-1] = int(v)\n",
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" \n",
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" code = phone\n",
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" dict1.setdefault(code,{})\n",
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" dict1[code]['name'] = content['name']\n",
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" if content['gender'] == 'male':\n",
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" dict1[code]['sex'] = '男'\n",
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" else:\n",
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" dict1[code]['sex'] = '女'\n",
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" dict1[code]['birth'] = str(content['birth'])\n",
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" dict1[code]['unit'] = '采油工艺研究院'\n",
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" #dict1[code]['phone'] = phone\n",
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" #dict1[code]['weight'] = dict2['weight']\n",
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" #dict1[code]['waist'] = dict2['waist']\n",
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" #dict1[code]['hip'] = dict2['hip']\n",
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" dict1[code]['tcm'] = tcm\n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" list2 = [k,v['name'],v['sex'],v['birth']]\n",
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" list1.append(list2)\n",
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"title =['手机号码','姓名','性别','出生年月']\n",
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"filename = 'data/采油工艺研究院问卷人员（截至20251105）.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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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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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": 21,
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"id": "5c4df7b1-ced9-49c1-a9e4-dc2a54f201bc",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-06T02:15:58.258398Z",
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"iopub.status.busy": "2025-11-06T02:15:58.257685Z",
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"iopub.status.idle": "2025-11-06T02:15:58.274276Z",
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"shell.execute_reply": "2025-11-06T02:15:58.273471Z",
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"shell.execute_reply.started": "2025-11-06T02:15:58.258334Z"
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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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"27\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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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/sql_20251106.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" list1.append(line)\n",
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"nn = 0\n",
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"for item in list1:\n",
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" dict2 = {}\n",
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" \n",
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" phone = str(item[0])[2:]\n",
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" content = json.loads(json.loads(item[1]))\n",
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" tcm = []\n",
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" spine = []\n",
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" for i in range(0,60):\n",
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" tcm.append(0)\n",
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" for i in range(0,25):\n",
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" spine.append(0)\n",
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" for k, v in content.items(): \n",
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" if 'tcm' in k:\n",
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" i = int(k[3:])\n",
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" tcm[i-1] = int(v)\n",
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" if 'spine' in k:\n",
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" i = int(k[5:])\n",
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" spine[i-1] = int(v)\n",
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" code = phone\n",
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" dict1.setdefault(code,{})\n",
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" dict1[code]['name'] = content['name']\n",
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" if content['gender'] == 'male':\n",
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" dict1[code]['sex'] = '男'\n",
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" else:\n",
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" dict1[code]['sex'] = '女'\n",
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" dict1[code]['birth'] = str(content['birth'])+'-01'\n",
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" dict1[code]['unit'] = '采油工艺研究院'\n",
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" dict1[code]['tcm'] = tcm \n",
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" dict1[code]['spine'] = spine\n",
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" \n",
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"filename = 'data/result_新疆油田-2511.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False)\n",
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"print(len(dict1))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "3a7bc501-6739-4b74-90f6-21066de637e2",
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"metadata": {},
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"source": [
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"## 生成问卷报告"
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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": 23,
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"id": "cdbeb2f8-2784-4688-806a-6506799941cb",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-06T02:20:43.542803Z",
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"iopub.status.busy": "2025-11-06T02:20:43.542192Z",
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"iopub.status.idle": "2025-11-06T02:20:50.673104Z",
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"shell.execute_reply": "2025-11-06T02:20:50.671961Z",
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"shell.execute_reply.started": "2025-11-06T02:20:43.542746Z"
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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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"27\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_新疆油田-2511.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 ='./新疆油田-2511/'\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).rjust(4,\"0\")\n",
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" mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n",
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" mydata['title'] = '采油工艺研究院'\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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" 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'] = 60\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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" for item in list_item:\n",
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" if item in v.keys():\n",
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" mydata.setdefault('fits',{})\n",
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" if item in ['lung','pushup','step','situp']:\n",
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" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
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" else:\n",
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" mark = v[item]['成绩'].split()[0]\n",
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" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
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" if len(mydata['fits']) >2 or 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": "code",
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"execution_count": null,
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"id": "8564de3a-1511-4a79-9ec3-32aea03595c7",
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"metadata": {},
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"outputs": [],
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"source": []
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Block a user