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python----/达州/数据库连接.ipynb
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admin aac9f5934d feat: 添加多个功能模块和工具脚本 
- 新增websocket客户端和服务端实现
- 添加图片压缩工具和快速压缩脚本
- 实现学生信息处理相关API
- 添加MQTT客户端和消息处理功能
- 更新.gitignore忽略更多文件类型
- 添加数据库操作工具和示例
- 实现多个测试脚本和工具类
2026-04-13 14:47:50 +08:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pymysql\n",
"import snowflake\n",
"from faker import Faker\n",
"fake = Faker('zh_CN')\n",
"import random\n",
"# 创建数据库连接\n",
"connection = pymysql.connect(\n",
"host='192.168.0.244',\n",
"user='root',\n",
"password='Abcd@123456',\n",
"database='qy_school',\n",
"charset='utf8'\n",
")\n",
"# 创建游标对象\n",
"cursor = connection.cursor()\n",
"sql=\"select * from student\"\n",
"cursor.execute(sql)\n",
"result=cursor.fetchall()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"ename": "",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m在当前单元格或上一个单元格中执行代码时 Kernel 崩溃。\n",
"\u001b[1;31m请查看单元格中的代码，以确定故障的可能原因。\n",
"\u001b[1;31m单击<a href='https://aka.ms/vscodeJupyterKernelCrash'>此处</a>了解详细信息。\n",
"\u001b[1;31m有关更多详细信息，请查看 Jupyter <a href='command:jupyter.viewOutput'>log</a>。"
]
}
],
"source": [
"from requests import get,post\n",
"import time\n",
"from datetime import datetime\n",
"\n",
"ip = \"http://192.168.0.244:8101\"\n",
"param = {\n",
" \"username\": \"tangchao\",\n",
" \"password\": \"123456a\",\n",
" \"client_id\": \"client\",\n",
" \"grant_type\": \"password\",\n",
" \"client_secret\": \"123456\",\n",
"}\n",
"data = get(url=f\"{ip}/oauth/token\",params=param).json()\n",
"token = data[\"access_token\"]\n",
"header = {\n",
" \"content-type\": \"application/json\",\n",
" \"authorization\": f\"Bearer {token}\",\n",
"}\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"sql=\"select * from student\"\n",
"cursor.execute(sql)\n",
"result=cursor.fetchall()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"tem = get(f\"{ip}/dorm/bed/pageList?page=1&pageSize=3000&building=&floor=&roomNumber=&grade=&department=&major=&className=&keyword=&pageNumber=1&teamId=106\",headers=header).json()[\"data\"][\"records\"]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"ids = [ i[\"stuId\"] for i in tem if i[\"stuId\"]]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
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" 11785,\n",
" 9721,\n",
" 10685,\n",
" 11141,\n",
" 10857,\n",
" 11047,\n",
" 11471,\n",
" 10995,\n",
" 10762,\n",
" 9857,\n",
" 10811,\n",
" 9757,\n",
" 11424,\n",
" 10716,\n",
" 11006,\n",
" 11287,\n",
" 10138,\n",
" 11616,\n",
" 11227,\n",
" 11405,\n",
" 9791,\n",
" 10435,\n",
" 11393,\n",
" 11412,\n",
" 10277,\n",
" 10736,\n",
" 10355,\n",
" 10915,\n",
" 10122,\n",
" 9776,\n",
" 10733,\n",
" 10093,\n",
" 10187,\n",
" 10528,\n",
" 9722,\n",
" 9691,\n",
" 10893,\n",
" 10710,\n",
" 11697,\n",
" 11672,\n",
" 9724,\n",
" 11776,\n",
" 10554,\n",
" 9639,\n",
" 9944,\n",
" 9912,\n",
" 10200,\n",
" 9773,\n",
" 10778,\n",
" 10493,\n",
" 10920,\n",
" 11775,\n",
" 9824,\n",
" 10315,\n",
" 10131,\n",
" 10045,\n",
" 10896,\n",
" 10276,\n",
" 11768,\n",
" 9950,\n",
" 10338,\n",
" 11474,\n",
" 11374,\n",
" 11180,\n",
" 10248,\n",
" 10176,\n",
" 10367,\n",
" 10206,\n",
" 11634,\n",
" 11640,\n",
" 10650,\n",
" 10891,\n",
" 10267,\n",
" 10864,\n",
" 11154,\n",
" 11743,\n",
" 10904,\n",
" 10294,\n",
" 9996,\n",
" 11421,\n",
" 10727,\n",
" 10286,\n",
" 11610,\n",
" 9630,\n",
" 10334,\n",
" 11524,\n",
" 10007,\n",
" 11254,\n",
" 10180,\n",
" 11747,\n",
" 11358,\n",
" 11484,\n",
" 11787,\n",
" 9675,\n",
" 10560,\n",
" 9583,\n",
" 11381,\n",
" 11258,\n",
" 11639,\n",
" 9753,\n",
" 10532,\n",
" 11234,\n",
" 10740,\n",
" 11299,\n",
" 10193,\n",
" 10169,\n",
" 11032,\n",
" 11019,\n",
" 11633,\n",
" 10932,\n",
" 11155,\n",
" 10118,\n",
" 11789,\n",
" 10746,\n",
" 10409,\n",
" 11316,\n",
" 11285,\n",
" 10558,\n",
" 9985,\n",
" 11592,\n",
" 10786,\n",
" 9806,\n",
" 10196,\n",
" 10981,\n",
" 10950,\n",
" 11753,\n",
" 11315,\n",
" 9603,\n",
" 10411,\n",
" 11280,\n",
" 10117,\n",
" 11553,\n",
" 10296,\n",
" 9932,\n",
" 10354,\n",
" 10359,\n",
" 10126,\n",
" 10748,\n",
" 10851,\n",
" 10450,\n",
" 9968,\n",
" 10072,\n",
" 9607,\n",
" 11293,\n",
" 9626,\n",
" 11016,\n",
" 9819,\n",
" 10606,\n",
" 10562,\n",
" ...]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ids"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# ids = []\n",
"# for item in result:\n",
"# id = item[0]\n",
"# ids.append(id)\n",
"# ids = [9131, 9135, 9139, 9140, 9141, 9142, 9151]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"sql = \"select * from t_camera\"\n",
"cursor.execute(sql)\n",
"camera=cursor.fetchall()\n",
"channels = []"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"for item in camera:\n",
" channels.append(item[17])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['16',\n",
" '17',\n",
" '18',\n",
" '19',\n",
" '20',\n",
" '21',\n",
" '22',\n",
" '23',\n",
" '24',\n",
" '25',\n",
" '26',\n",
" '27',\n",
" '28',\n",
" '29',\n",
" '30',\n",
" '31',\n",
" '32',\n",
" '33',\n",
" '34',\n",
" '35',\n",
" '36',\n",
" '37',\n",
" '38',\n",
" '39',\n",
" '40',\n",
" '41',\n",
" '42',\n",
" '43',\n",
" '44',\n",
" '45',\n",
" '46',\n",
" '47',\n",
" '1',\n",
" '2',\n",
" '3',\n",
" '4',\n",
" '5',\n",
" '6',\n",
" '7',\n",
" '8',\n",
" '9',\n",
" '10',\n",
" '11',\n",
" '12',\n",
" '13',\n",
" '14',\n",
" '15']"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"channels"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"import uuid\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'batch_info': {'batch_id': '0e76d74a-42ee-4de0-bd3c-b8fd5c817542', 'detected_image_path': '', 'total_faces': 4, 'cameraid': 'camera_001', 'cameracode': 'CAM001'}, 'results': [{'sim': '0.876', 'simFaceurl': '', 'baseFacesurl': '', 'faceBaseid': '', 'name': '', 'sex': '', 'empid': '9941', 'telephone': '', 'remark': '', 'channel': '35', 'ename': 'Face', 'cname': '人脸比对', 'createtime': '2025-10-23 14:36:49'}, {'sim': '0.876', 'simFaceurl': '', 'baseFacesurl': '', 'faceBaseid': '', 'name': '', 'sex': '', 'empid': '9601', 'telephone': '', 'remark': '', 'channel': '35', 'ename': 'Face', 'cname': '人脸比对', 'createtime': '2025-10-23 14:36:49'}, {'sim': '0.876', 'simFaceurl': '', 'baseFacesurl': '', 'faceBaseid': '', 'name': '', 'sex': '', 'empid': '11014', 'telephone': '', 'remark': '', 'channel': '35', 'ename': 'Face', 'cname': '人脸比对', 'createtime': '2025-10-23 14:36:49'}, {'sim': '0.876', 'simFaceurl': '', 'baseFacesurl': '', 'faceBaseid': '', 'name': '', 'sex': '', 'empid': '10540', 'telephone': '', 'remark': '', 'channel': '35', 'ename': 'Face', 'cname': '人脸比对', 'createtime': '2025-10-23 14:36:49'}]}\n"
]
},
{
"data": {
"text/plain": [
"'{\"success\":true,\"msg\":\"操作成功\",\"code\":0,\"data\":null}'"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"times = datetime.now().strftime('%Y-%m-%d %H:%M:%S')\n",
"count = random.randint(1, 4)\n",
"channel = random.choice(channels)\n",
"data = {\n",
" \"batch_info\": {\n",
" \"batch_id\": str(uuid.uuid4()),\n",
" \"detected_image_path\":\"\",\n",
" \"total_faces\": count,\n",
" \"cameraid\": \"camera_001\",\n",
" \"cameracode\": \"CAM001\"\n",
" },\n",
" \"results\":\"\"\n",
" }\n",
"child = []\n",
"for item in random.choices(ids, k=count):\n",
" tem = {\n",
" \"sim\": \"0.876\",\n",
" \"simFaceurl\": \"\",\n",
" \"baseFacesurl\": \"\",\n",
" \"faceBaseid\": \"\",\n",
" \"name\": \"\",\n",
" \"sex\": \"\",\n",
" \"empid\": f\"{item}\",\n",
" \"telephone\": \"\",\n",
" \"remark\": \"\",\n",
" \"channel\": f\"{channel}\",\n",
" \"ename\": \"Face\",\n",
" \"cname\": \"人脸比对\",\n",
" \"createtime\": times\n",
" }\n",
" child.append(tem)\n",
"data[\"results\"] = child\n",
"print(data)\n",
"post(f\"{ip}/ai/stuface/receive\",json=data,headers=header).text"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'{\"success\":true,\"msg\":\"操作成功\",\"code\":0,\"data\":null}'"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
},
{
"ename": "",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m在当前单元格或上一个单元格中执行代码时 Kernel 崩溃。\n",
"\u001b[1;31m请查看单元格中的代码，以确定故障的可能原因。\n",
"\u001b[1;31m单击<a href='https://aka.ms/vscodeJupyterKernelCrash'>此处</a>了解详细信息。\n",
"\u001b[1;31m有关更多详细信息，请查看 Jupyter <a href='command:jupyter.viewOutput'>log</a>。"
]
}
],
"source": [
"times = datetime.now().strftime('%Y-%m-%d %H:%M:%S')\n",
"count = 1\n",
"channel = 18\n",
"data = {\n",
" \"batch_info\": {\n",
" \"batch_id\": str(uuid.uuid4()),\n",
" \"detected_image_path\":\"\",\n",
" \"total_faces\": 3,\n",
" \"cameraid\": \"camera_001\",\n",
" \"cameracode\": \"CAM001\"\n",
" },\n",
" \"results\":\"\"\n",
" }\n",
"child = []\n",
"for item in [11030,11631,10385]:\n",
" tem = {\n",
" \"sim\": \"0.876\",\n",
" \"simFaceurl\": \"\",\n",
" \"baseFacesurl\": \"\",\n",
" \"faceBaseid\": \"\",\n",
" \"name\": \"\",\n",
" \"sex\": \"\",\n",
" \"empid\": f\"{item}\",\n",
" \"telephone\": \"\",\n",
" \"remark\": \"\",\n",
" \"channel\": f\"{channel}\",\n",
" \"ename\": \"Face\",\n",
" \"cname\": \"人脸比对\",\n",
" \"createtime\": times\n",
" }\n",
" child.append(tem)\n",
"data[\"results\"] = child\n",
"post(f\"{ip}/ai/stuface/receive\",json=data,headers=header).text"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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