制作天气接口API服务器【1.天气模块】

桃扇骨 2023-06-09 10:22 27阅读 0赞

**内容如下：**

制作天气接口API服务器: 
    - 天气模块: 
    - 后台逻辑:
    - 路由设置:

**天气模块**  
本文分别使用正则表达式和lxml+xpath进行数据爬取，抓取当前时间天气和未来7天天气数据

import re
    import requests
    from urllib import request
    from xpinyin import Pinyin
    import time
    from lxml import etree
    
    
    class WeatherParse(object):
    
        Headers = { 
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36'
        }
        Url = 'https://www.tianqi.com/'
    
        @classmethod
        def parse_weather_now(cls, url, headers):
            weather_now = dict()
            resp = requests.get(url, headers=headers)
            text = resp.text
            city = re.findall(r'<dd class="name"><h2>(.*?)</h2>', text, re.DOTALL)[0]
            weather = re.findall(r'<span><b>(.*?)</b>', text, re.DOTALL)[0]
            temperature = re.findall(r'<p class="now"><b>(.*?)</b>', text, re.DOTALL)[0]
            now_time = re.findall(r'<dd class="week">(.*?)</dd>', text, re.DOTALL)[0]
            date = re.findall(r'(.*?)日', now_time)[0] + '日'
            week = '星期'+ re.findall(r'星期(.*?)\s', now_time)[0]
            img_url = 'http://' + re.findall(r'<dd class="weather">\n<i><img src="//(.*?)">', text, re.DOTALL)[0]
            items = re.findall(r'<dd class="shidu"><b>(.*?)</b><b>(.*?)</b><b>(.*?)</b>', text, re.DOTALL)[0]
            nodes = []
            for item in list(items):
                temp = re.split(r'：', item)[1]
                nodes.append(temp)
            humidity = nodes[0]
            wind_direct = nodes[1]
            ultraviolet_rays = nodes[2]
            quality = re.findall(r'<dd class="kongqi">.*?：(.*?)</h5>', text, re.DOTALL)[0]
            PM = re.findall(r'<dd class="kongqi">.*?</h5><h6>PM:(.*?)</h6>', text, re.DOTALL)[0].strip()
            # print('城市：%s\t气温：%s℃\t%s\t 日期：%s\t 湿度：%s\t风西：%s\t紫外线：%s\t天气：%s\t天气质量：%s\tPM：%s'
            # % (city, temperature, week, date, humidity, wind_direct, ultraviolet_rays, weather, quality, PM))
            # print('imgUrl：%s' % img_url)
            datetime = time.strftime('%H:%M:%S', time.localtime(time.time()))
            weather_now['city'] = city
            weather_now['week'] = week
            weather_now['date'] = date
            weather_now['datetime'] = datetime
            weather_now['quality'] = quality
            weather_now['temperature'] = temperature
            weather_now['weather'] = weather
            weather_now['wind_direct'] = wind_direct
            weather_now['humidity'] = humidity
            weather_now['ultraviolet_rays'] = ultraviolet_rays
            weather_now['PM'] = PM
            weather_now['img_url'] = img_url
            return weather_now
    
        @classmethod
        def parse_weather_7(cls, url, headers, city):
            resp = requests.get(url, headers=headers)
            # text = resp.content.decode('utf-8')
            text = resp.text
            html = etree.HTML(text)
    
            datetimes = []
            weeks = []
            img_urls = []
            date_weeks = html.xpath("//ul[@class='week']/li")
            for item in date_weeks:
                datetimes.append(item.xpath("./b/text()")[0])
                weeks.append(item.xpath("./span/text()")[0])
                img_urls.append('http:' + item.xpath("./img/@src")[0])
            weathers = html.xpath("//ul[@class='txt txt2']/li/text()")
            temperatures = html.xpath("//div[@class='zxt_shuju']/ul")[0]
            max_temperatures = temperatures.xpath("./li/span/text()")
            min_temperatures = temperatures.xpath("./li/b/text()")
    
            results = []
            for i in range(len(weathers)):
                result = dict()
                result['datetime'] = datetimes[i]
                result['week'] = weeks[i]
                result['weather'] = weathers[i]
                result['max_temperature'] = max_temperatures[i]
                result['min_temperature'] = min_temperatures[i]
                result['img_url'] = img_urls[i]
                results.append(result)
            all= dict()
            all[city] = results
            return all
    
        def get_weather_now(self, city):
            p = Pinyin()
            x = p.get_pinyin(city, '')
            url = request.urljoin(self.Url, x)
            now = self.parse_weather_now(url, self.Headers)
            return now
    
        def get_future_weather(self, city):
            p = Pinyin()
            x = p.get_pinyin(city, '')
            url = request.urljoin(self.Url, x)
            future = self.parse_weather_7(url, self.Headers, city)
            return future

**模块测试：**

w = WeatherParse()
    now= w.get_weather_now('北京')
    future = w.get_future_weather('上海')
    print(now)
    print(future)

**结果示例如下：**

{ 'city': '北京', 'week': '星期日', 'date': '2019年10月20日', 'datetime': '17:52:19', 'quality': '优', 'temperature': '20', 'weather': '晴', 'wind_direct': '西风 2级', 'humidity': '18%', 'ultraviolet_rays': '无', 'PM': '18', 'img_url': 'http://static.tianqistatic.com/static/wap2018/ico1/b0.png'}
    { '上海': [
    { 'datetime': '10月20日', 'week': '星期日', 'weather': '晴', 'max_temperature': '23', 'min_temperature': '16', 'img_url': 'http://static.tianqistatic.com/static/wap2018/ico1/b0.png'}, 
    { 'datetime': '10月21日', 'week': '星期一', 'weather': '多云', 'max_temperature': '24', 'min_temperature': '17', 'img_url': 'http://static.tianqistatic.com/static/wap2018/ico1/b1.png'}, 
    { 'datetime': '10月22日', 'week': '星期二', 'weather': '多云', 'max_temperature': '23', 'min_temperature': '18', 'img_url': 'http://static.tianqistatic.com/static/wap2018/ico1/b1.png'}, 
    { 'datetime': '10月23日', 'week': '星期三', 'weather': '多云', 'max_temperature': '24', 'min_temperature': '18', 'img_url': 'http://static.tianqistatic.com/static/wap2018/ico1/b1.png'}, 
    { 'datetime': '10月24日', 'week': '星期四', 'weather': '多云', 'max_temperature': '24', 'min_temperature': '18', 'img_url': 'http://static.tianqistatic.com/static/wap2018/ico1/b1.png'}, 
    { 'datetime': '10月25日', 'week': '星期五', 'weather': '多云', 'max_temperature': '24', 'min_temperature': '17', 'img_url': 'http://static.tianqistatic.com/static/wap2018/ico1/b1.png'}, 
    { 'datetime': '10月26日', 'week': '星期六', 'weather': '多云', 'max_temperature': '21', 'min_temperature': '15', 'img_url': 'http://static.tianqistatic.com/static/wap2018/ico1/b1.png'}
    ]}