1.搭建简单网站1
from flask import Flask,render_template
import requests
import json
app = Flask('name')# **location**的温度是**temp**度，天气状况：**desc**@app.route('/') # 绑定处理函数
def index_url():location = '101010100'data = get_weather(location)return render_template('index.html',location=data['name'],temp=data['temp'],desc=data['desc'])def get_weather(location='101010100'):url = f'https://devapi.qweather.com/v7/weather/now?location={location}&key=251bac74792b4c53839b2394b5ee45cc'r = requests.get(url)# 确保请求成功if r.status_code == 200:data = json.loads(r.text)# 提取温度和天气状况temp = data['now']['temp'] # 温度desc = data['now']['text'] # 天气状况# 从 fxLink 中提取城市名称fx_link = data['fxLink'] # 获取 fxLinkname = fx_link.split('/')[-1].split('-')[0] # 提取城市名称，如 'beijing'# 构造返回的天气信息字典weather = {'name': name, 'temp': temp, 'desc': desc}return weatherif __name__ == '__main__':# app.run(host='127.1.1.0', port=9999)print(get_weather())<!DOCTYPE html>
<html lang="en">
<head><meta charset="UTF-8"><title>查询天气预报</title>
</head>
<body>
<h1>{{location}}的温度是{{temp}}度，天气状况：{{desc}}</h1>
<script src="static\jquery-1.10.1.min.js"></script>
<script>$(function (){alert('已经加载jQuery')})
</script>
</body>
</html>
2.搭建简单网站2
from flask import Flask,render_template,request
import requests
import json
app = Flask('name')# **location**的温度是**temp**度，天气状况：**desc**@app.route('/') # 绑定处理函数
def index_url():location = '101010100'data = get_weather(location)return render_template('index.html',location=data['name'],temp=data['temp'],desc=data['desc'])@app.route('/get_data')
def get_data():loc = request.args.get('loc')ua = requests.headers.get('User-Agent')token = requests.cookies.get('token')data = ''if 'python' in ua:msg = '检测到自动化程序'elif not token or token != 'abc':msg = 'Token参数错误'elif not loc:msg = '查询参数错误'else:data = get_weather(loc)msg = '请求正常'sender_data = {'msg':msg,'data':data}sender_str = json.dumps(sender_data)return sender_str@app.route('/post_data', methods=['POST'])
def post_data():# loc = request.form.get('loc') # 获取数据loc = request.json.get('loc') # payloaddata = get_weather(loc)msg = '请求正常'sender_data = {'msg': msg, 'data': data}sender_str = json.dumps(sender_data)return sender_strdef get_weather(location='101010100'):url = f'https://devapi.qweather.com/v7/weather/now?location={location}&key=251bac74792b4c53839b2394b5ee45cc'r = requests.get(url)# 确保请求成功if r.status_code == 200:data = json.loads(r.text)# 提取温度和天气状况temp = data['now']['temp'] # 温度desc = data['now']['text'] # 天气状况# 从 fxLink 中提取城市名称fx_link = data['fxLink'] # 获取 fxLinkname = fx_link.split('/')[-1].split('-')[0] # 提取城市名称，如 'beijing'# 构造返回的天气信息字典weather = {'name': name, 'temp': temp, 'desc': desc}return weatherif __name__ == '__main__':app.run(host='127.1.1.0', port=9999)
<!DOCTYPE html>
<html lang="en">
<head><meta charset="UTF-8"><title>查询天气预报</title>
</head>
<body>
<h1>{{ location }}的温度是{{ temp }}度，天气状况：{{ desc }}</h1>
<script src="static\jquery-1.10.1.min.js"></script>
<script>let date = new Date(); // 获取当前时间console.log(date.toString());date.setTime(date.getTime() + 1000 * 1000); // 单位为毫秒，设置几秒后删除cookie，这里为1000秒// 使用方法打开浏览器页面，查看cookie值，最后把下面设置cookie和时间的(下面这行)注释掉，静等两分钟查看浏览器即可。document.cookie = `token=abc;expires=${date.toString()}`; // 给添加的cookie值加上日期$(function () {$('#b1').click(function () {var query = $('#t1').val()$.ajax({// url: `/get_data?loc=${query}`,url: '/post_data',method: 'post',data: JSON.stringify({ //loc: query}),contentType: 'Application/json',success: function (data) {weather_data = JSON.parse(data) //python json.loadsloc = weather_data['data']['name']temp = weather_data['data']['temp']desc = weather_data['data']['desc']display_h1 = `${loc}的温度是${temp}度，天气状况：${desc}`$('h1').text(display_h1)}})})})
</script>
<br><br><input id="t1" placeholder="请输入要查询的城市名字">
<button id="b1">查询天气预报</button>
</body>
</html>
3.搭建简单网站3
from flask import Flask,render_template,request
import requests
import json
app = Flask('name')# **location**的温度是**temp**度，天气状况：**desc**@app.route('/') # 绑定处理函数
def index_url():location = '101010100'data = get_weather(location)return render_template('index.html',location=data['name'],temp=data['temp'],desc=data['desc'])@app.route('/get_data')
def get_data():loc = request.args.get('loc')ua = requests.headers.get('User-Agent')token = requests.cookies.get('token')data = ''if 'python' in ua:msg = '检测到自动化程序'elif not token or token != 'abc':msg = 'Token参数错误'elif not loc:msg = '查询参数错误'else:data = get_weather(loc)msg = '请求正常'sender_data = {'msg':msg,'data':data}sender_str = json.dumps(sender_data)return sender_str@app.route('/post_data', methods=['POST'])
def post_data():# loc = request.form.get('loc') # 获取数据loc = request.json.get('loc') # payloaddata = get_weather(loc)msg = '请求正常'sender_data = {'msg': msg, 'data': data}sender_str = json.dumps(sender_data)return sender_str# @app.route('/axios')
# def axios():
# return '这是一个axios的请求数据'def get_weather(location='101010100'):url = f'https://devapi.qweather.com/v7/weather/now?location={location}&key=251bac74792b4c53839b2394b5ee45cc'r = requests.get(url)# 确保请求成功if r.status_code == 200:data = json.loads(r.text)# 提取温度和天气状况temp = data['now']['temp'] # 温度desc = data['now']['text'] # 天气状况# 从 fxLink 中提取城市名称fx_link = data['fxLink'] # 获取 fxLinkname = fx_link.split('/')[-1].split('-')[0] # 提取城市名称，如 'beijing'# 构造返回的天气信息字典weather = {'name': name, 'temp': temp, 'desc': desc}return weatherif __name__ == '__main__':app.run(host='127.1.1.0', port=9999)
<!DOCTYPE html>
<html lang="en">
<head><meta charset="UTF-8"><title>查询天气预报</title>
</head>
<body>
<h1>{{ location }}的温度是{{ temp }}度，天气状况：{{ desc }}</h1>
<script src="static\jquery-1.10.1.min.js"></script>
<script>let date = new Date(); // 获取当前时间console.log(date.toString());date.setTime(date.getTime() + 1000 * 1000); // 单位为毫秒，设置几秒后删除cookie，这里为1000秒// 使用方法打开浏览器页面，查看cookie值，最后把下面设置cookie和时间的(下面这行)注释掉，静等两分钟查看浏览器即可。document.cookie = `token=abc;expires=${date.toString()}`; // 给添加的cookie值加上日期$(function () {$('#b1').click(function () {var query = $('#t1').val()$.ajax({
// url: `/get_data?loc=${query}`,url: '/post_data',method: 'post',data: JSON.stringify({ //loc: query}),contentType: 'Application/json',success: function (data) {weather_data = JSON.parse(data) //python json.loadsloc = weather_data['data']['name']temp = weather_data['data']['temp']desc = weather_data['data']['desc']display_h1 = `${loc}的温度是${temp}度，天气状况：${desc}`$('h1').text(display_h1)}})})})
</script>
{#<script src="static/axios.min.js"></script>#}
{#<script>#}
{# axios.interceptors.request.use(function (config) {#}
{# console.log('拦截发送数据', config)#}
{# //加密处理#}
{# return config#}
{# })#}
{##}
{# axios.interceptors.response.use(function (config) {#}
{# console.log('拦截收到的数据', config)#}
{# //解密处理#}
{# return config#}
{# })#}
{##}
{# window.onload = function () {#}
{# document.getElementById('b1').addEventListener('click', function () {#}
{# axios.get('/axios').then(function (res) {#}
{# console.log(res.data)#}
{# })#}
{# })#}
{# }#}
{#</script>#}
<br><br><input id="t1" placeholder="请输入要查询的城市名字">
<button id="b1">查询天气预报</button>
</body>
</html>4.简单网站最终呈现：
此网页可以进行爬虫爬取数据，对比发现get,post等请求的不同与相同，同时兼具了一定的反爬机制等知识
查询一下信阳城市天气，得到结果：
