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2025-10-20 12:32:18 +08:00
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{
"cells": [
{
"cell_type": "code",
"execution_count": 13,
"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": 14,
"metadata": {},
"outputs": [],
"source": [
"sql=\"select * from student\"\n",
"cursor.execute(sql)\n",
"result=cursor.fetchall()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"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": 3,
"metadata": {},
"outputs": [],
"source": [
"sql = \"select * from t_camera\"\n",
"cursor.execute(sql)\n",
"camera=cursor.fetchall()\n",
"channels = []"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"for item in camera:\n",
" channels.append(item[17])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'dffa5eac-49aa-48d2-a6c1-deedbff0b46a'"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import uuid\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"from requests import get,post\n",
"import time\n",
"from datetime import datetime\n",
"\n",
"ip = \"http://192.168.0.209:8101\"\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": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'{\"success\":true,\"msg\":\"操作成功\",\"code\":0,\"data\":null}'"
]
},
"execution_count": 21,
"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 = 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\":None\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",
"post(f\"{ip}/ai/stuface/receive\",json=data,headers=header).text"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'batch_info': {'batch_id': '6a6e425b-e3b5-46d8-8b53-4aa9f2f75fac',\n",
" 'detected_image_path': 'https://cdn2.thedogapi.com/images/lQH1NRsGE.jpg',\n",
" 'total_faces': 3,\n",
" 'cameraid': 'camera_001',\n",
" 'cameracode': 'CAM001'},\n",
" 'results': [{'sim': '0.876',\n",
" 'simFaceurl': '',\n",
" 'baseFacesurl': '',\n",
" 'faceBaseid': '',\n",
" 'name': '',\n",
" 'sex': '',\n",
" 'empid': '9146',\n",
" 'telephone': '',\n",
" 'remark': '',\n",
" 'channel': '12',\n",
" 'ename': 'Face',\n",
" 'cname': '人脸比对',\n",
" 'createtime': '2025-10-14 19:05:30'},\n",
" {'sim': '0.876',\n",
" 'simFaceurl': '',\n",
" 'baseFacesurl': '',\n",
" 'faceBaseid': '',\n",
" 'name': '',\n",
" 'sex': '',\n",
" 'empid': '9121',\n",
" 'telephone': '',\n",
" 'remark': '',\n",
" 'channel': '12',\n",
" 'ename': 'Face',\n",
" 'cname': '人脸比对',\n",
" 'createtime': '2025-10-14 19:05:30'},\n",
" {'sim': '0.876',\n",
" 'simFaceurl': '',\n",
" 'baseFacesurl': '',\n",
" 'faceBaseid': '',\n",
" 'name': '',\n",
" 'sex': '',\n",
" 'empid': '9132',\n",
" 'telephone': '',\n",
" 'remark': '',\n",
" 'channel': '12',\n",
" 'ename': 'Face',\n",
" 'cname': '人脸比对',\n",
" 'createtime': '2025-10-14 19:05:30'}]}"
]
},
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
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"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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