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- 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
134 lines
3.4 KiB
Plaintext
134 lines
3.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "b82fd271",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pymysql\n",
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"import snowflake\n",
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"from faker import Faker\n",
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"import random\n",
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"import datetime\n",
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"fake = Faker('zh_CN')\n",
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"import random\n",
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"# 创建数据库连接\n",
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"connection = pymysql.connect(\n",
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"host='192.168.0.244',\n",
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"port=3306,\n",
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"user='root',\n",
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"password='Abcd@123456',\n",
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"database='hongxx_video',\n",
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"charset='utf8'\n",
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")\n",
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"# 创建游标对象\n",
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"cursor = connection.cursor()"
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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": 2,
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"id": "759c550a",
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"metadata": {},
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"outputs": [],
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"source": [
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"def create_table(cursor,result):\n",
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" \n",
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" data = []\n",
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" for i in result:\n",
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" list_list = list(i)\n",
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" des=cursor.description # 获取表详情，字段名，长度，属性等\n",
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" t = \",\".join([item[0] for item in des])\n",
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" table_head = t.split(',') # # 查询表列名 用,分割\n",
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" \n",
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" dict_result = dict(zip(table_head, list_list)) # 打包为元组的列表 再转换为字典\n",
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" data.append(dict_result) # 将字典添加到list_result中\n",
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" return data"
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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": 4,
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"id": "b717043a",
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"metadata": {},
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"outputs": [],
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"source": [
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"sql = 'select * from video_info'"
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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": 5,
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"id": "b4b373b8",
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"metadata": {},
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"outputs": [],
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"source": [
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"cursor.execute(sql)\n",
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"rows = cursor.fetchall()\n",
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"result = create_table(cursor,rows)"
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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": 8,
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"id": "84652b4b",
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"metadata": {},
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"outputs": [],
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"source": [
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"result\n",
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"# http://192.168.0.244:88/record/original-files/video/522e4c55fc804decafdd0a62e5a1bf74.mp4\n",
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"for item in result:\n",
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" if item[\"video_url\"].startswith(\"http://192.168.0.244:88\"):\n",
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" video_url = item[\"video_url\"].replace(\"http://192.168.0.244:88\",\"/mp4\")\n",
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" sql = f\"update video_info set video_url='{video_url}' where id={item['id']}\"\n",
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" cursor.execute(sql)"
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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": "0b4381f4",
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"metadata": {},
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"outputs": [
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{
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"ename": "",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\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",
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"\u001b[1;31m请查看单元格中的代码，以确定故障的可能原因。\n",
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"\u001b[1;31m单击<a href='https://aka.ms/vscodeJupyterKernelCrash'>此处</a>了解详细信息。\n",
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"\u001b[1;31m有关更多详细信息，请查看 Jupyter <a href='command:jupyter.viewOutput'>log</a>。"
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]
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}
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],
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"source": [
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"connection.commit()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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