From d6e4b187d79c9afea450ad6f615f9c1144db032f Mon Sep 17 00:00:00 2001
From: puqnjzxop <862227014@qq.com>
Date: Fri, 31 May 2024 11:09:12 +0800
Subject: [PATCH] Add weather.py

---
 weather.py | 141 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 141 insertions(+)
 create mode 100644 weather.py

diff --git a/weather.py b/weather.py
new file mode 100644
index 0000000..145d33f
--- /dev/null
+++ b/weather.py
@@ -0,0 +1,141 @@
+# weather.py
+import requests
+from bs4 import BeautifulSoup
+import csv
+import json
+
+def getHTMLtext(url):
+    """请求获得网页内容"""
+    try:
+        r = requests.get(url, timeout=30)
+        r.raise_for_status()
+        r.encoding = r.apparent_encoding
+        print("成功访问")
+        return r.text
+    except:
+        print("访问错误")
+        return " "
+
+def get_content(html):
+    """处理得到有用信息保存数据文件"""
+    final = []  # 初始化一个列表保存数据
+    bs = BeautifulSoup(html, "html.parser")  # 创建BeautifulSoup对象
+    body = bs.body
+    data = body.find('div', { 'id': '7d'})  # 找到div标签且id = 7d
+    # 下面爬取当天的数据
+    data2 = body.find_all('div', {'class': 'left-div'})
+    text = data2[2].find('script').string
+    text = text[text.index('=') + 1:-2]  # 移除改var data=将其变为json数据
+    jd = json.loads(text)
+    dayone = jd['od']['od2']  # 找到当天的数据
+    final_day = []  # 存放当天的数据
+    count = 0
+    for i in dayone:
+        temp = []
+        if count <=23:
+            temp.append(i['od21'])  # 添加时间
+            temp.append(i['od22'])  # 添加当前时刻温度
+            temp.append(i['od24'])  # 添加当前时刻风力方向
+            temp.append(i['od25'])  # 添加当前时刻风级
+            temp.append(i['od26'])  # 添加当前时刻降水量
+            temp.append(i['od27'])  # 添加当前时刻相对湿度
+            temp.append(i['od28'])  # 添加当前时刻控制质量
+            # print(temp)
+            final_day.append(temp)
+        count = count + 1
+    # 下面爬取7天的数据
+    ul = data.find('ul')  # 找到所有的ul标签
+    li = ul.find_all('li')  # 找到左右的li标签
+    i = 0  # 控制爬取的天数
+    for day in li:  # 遍历找到的每一个li
+        if i < 7 and i > 0:
+            temp = []  # 临时存放每天的数据
+            date = day.find('h1').string  # 得到日期
+            date = date[0:date.index('日')]  # 取出日期号
+            temp.append(date)
+            inf = day.find_all('p')  # 找出li下面的p标签,提取第一个p标签的值，即天气
+            temp.append(inf[0].string)
+            tem_low = inf[1].find('i').string  # 找到最低气温
+            if inf[1].find('span') is None:  # 天气预报可能没有最高气温
+                tem_high = None
+            else:
+                tem_high = inf[1].find('span').string  # 找到最高气温
+            temp.append(tem_low[:-1])
+            if tem_high[-1] == '℃':
+                temp.append(tem_high[:-1])
+            else:
+                temp.append(tem_high)
+            wind = inf[2].find_all('span')  # 找到风向
+            for j in wind:
+                temp.append(j['title'])
+            wind_scale = inf[2].find('i').string  # 找到风级
+            index1 = wind_scale.index('级')
+            temp.append(int(wind_scale[index1 - 1:index1]))
+            final.append(temp)
+        i = i + 1
+    return final_day, final
+    # print(final)
+
+def get_content2(html):
+    """处理得到有用信息保存数据文件"""
+    final = []  # 初始化一个列表保存数据
+    bs = BeautifulSoup(html, "html.parser")  # 创建BeautifulSoup对象
+    body = bs.body
+    data = body.find('div', { 'id': '15d'})  # 找到div标签且id = 15d
+    ul = data.find('ul')  # 找到所有的ul标签
+    li = ul.find_all('li')  # 找到左右的li标签
+    final = []
+    i = 0  # 控制爬取的天数
+    for day in li:  # 遍历找到的每一个li
+        if i < 8:
+            temp = []  # 临时存放每天的数据
+            date = day.find('span', { 'class': 'time'}).string  # 得到日期
+            date = date[date.index('（') + 1:-2]  # 取出日期号
+            temp.append(date)
+            weather = day.find('span', { 'class': 'wea'}).string  # 找到天气
+            temp.append(weather)
+            tem = day.find('span', { 'class': 'tem'}).text  # 找到温度
+            temp.append(tem[tem.index('/') + 1:-1])  # 找到最低气温
+            temp.append(tem[:tem.index('/') - 1])  # 找到最高气温
+            wind = day.find('span', { 'class': 'wind'}).string  # 找到风向
+            if '转' in wind:  # 如果有风向变化
+                temp.append(wind[:wind.index('转')])
+                temp.append(wind[wind.index('转') + 1:])
+            else:  # 如果没有风向变化，前后风向一致
+                temp.append(wind)
+                temp.append(wind)
+            wind_scale = day.find('span', { 'class': 'wind1'}).string  # 找到风级
+            index1 = wind_scale.index('级')
+            temp.append(int(wind_scale[index1 - 1:index1]))
+
+            final.append(temp)
+    return final
+
+def write_to_csv(file_name, data, day=14):
+    """保存为csv文件"""
+    with open(file_name, 'a', errors='ignore', newline='') as f:
+        if day == 14:
+            header = ['日期', '天气', '最低气温', '最高气温', '风向1', '风向2', '风级']
+        else:
+            header = ['小时', '温度', '风力方向', '风级', '降水量', '相对湿度', '空气质量']
+        f_csv = csv.writer(f)
+        f_csv.writerow(header)
+        f_csv.writerows(data)
+
+def main():
+    """主函数"""
+    print("Weather test")
+    # 珠海
+    url1 = 'http://www.weather.com.cn/weather/101280701.shtml'  # 7天天气中国天气网
+    url2 = 'http://www.weather.com.cn/weather15d/101280701.shtml'  # 8-15天天气中国天气网
+    html1 = getHTMLtext(url1)
+    data1, data1_7 = get_content(html1)  # 获得1-7天和当天的数据
+    html2 = getHTMLtext(url2)
+    data8_14 = get_content2(html2)  # 获得8-14天数据
+    data14 = data1_7 + data8_14
+    # print(data)
+    write_to_csv('weather14.csv', data14, 14)  # 保存为csv文件
+    write_to_csv('weather1.csv', data1, 1)
+
+if __name__ == '__main__':
+    main()
\ No newline at end of file