python实现智能语音天气预报

  1 #导入必要模块
  2 import urllib.parse
  3 import urllib.request
  4 import gzip
  5 import json
  6 import playsound
  7 from aip import AipSpeech
  8 import matplotlib.pyplot as plt
  9 import re
 10 #设置参数，图片显示中文字符，否则乱码
 11 plt.rcParams[‘font.sans-serif‘]=[‘SimHei‘]
 12 #定义获取天气数据函数
 13 def Get_weather_data():
 14   print(‘------天气查询------‘)
 15   city_name = input(‘请输入要查询的城市名称：‘)
 16   url = ‘http://wthrcdn.etouch.cn/weather_mini?city=‘ + urllib.parse.quote(city_name)
 17   weather_data = urllib.request.urlopen(url).read()
 18   # 读取网页数据
 19   weather_data = gzip.decompress(weather_data).decode(‘utf-8‘)
 20   # #解压网页数据
 21   weather_dict = json.loads(weather_data)
 22   return weather_dict
 23 #定义当天天气输出格式
 24 def Show_weather(weather_data):
 25   weather_dict = weather_data
 26   if weather_dict.get(‘desc‘) == ‘invilad-citykey‘:
 27     print(‘你输入的城市有误或未收录天气，请重新输入...‘)
 28   elif weather_dict.get(‘desc‘) == ‘OK‘:
 29     forecast = weather_dict.get(‘data‘).get(‘forecast‘)
 30     print(‘日期：‘, forecast[0].get(‘date‘))
 31     print(‘城市：‘, weather_dict.get(‘data‘).get(‘city‘))
 32     print(‘天气：‘, forecast[0].get(‘type‘))
 33     print(‘温度：‘, weather_dict.get(‘data‘).get(‘wendu‘) + ‘℃ ‘)
 34     print(‘高温：‘, forecast[0].get(‘high‘))
 35     print(‘低温：‘, forecast[0].get(‘low‘))
 36     print(‘风级：‘, forecast[0].get(‘fengli‘).split(‘<‘)[2].split(‘]‘)[0])
 37     print(‘风向：‘, forecast[0].get(‘fengxiang‘))
 38     weather_forecast_txt = ‘您好，您所在的城市%s,‘  39                 ‘天气%s,‘  40                 ‘当前温度%s，‘  41                 ‘今天最高温度%s，‘  42                 ‘最低温度%s，‘  43                 ‘风级%s，‘  44                 ‘温馨提示：%s‘ %  45                 (
 46                   weather_dict.get(‘data‘).get(‘city‘),
 47                   forecast[0].get(‘type‘),
 48                   weather_dict.get(‘data‘).get(‘wendu‘),
 49                   forecast[0].get(‘high‘),
 50                   forecast[0].get(‘low‘),
 51                   forecast[0].get(‘fengli‘).split(‘<‘)[2].split(‘]‘)[0],
 52                   weather_dict.get(‘data‘).get(‘ganmao‘)
 53                 )
 54     return weather_forecast_txt,forecast
 55 #定义语音播报今天天气状况
 56 def Voice_broadcast(weather_forcast_txt):
 57   weather_forecast_txt = weather_forcast_txt
 58   APP_ID = 你的百度语音APP_ID
 59   API_KEY = 你的百度语音API_KEY
 60   SECRET_KEY = 你的百度语音SECRET_KEY
 61   client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
 62   print(‘语音提醒：‘, weather_forecast_txt)
 63   #百度语音合成
 64   result = client.synthesis(weather_forecast_txt, ‘zh‘, 1, {‘vol‘: 5})
 65   if not isinstance(result, dict):
 66     with open(‘sound2.mp3‘, ‘wb‘) as f:
 67       f.write(result)
 68       f.close()
 69   #playsound模块播放语音
 70   playsound.playsound(r‘C:\Users\ban\Desktop\bsy\sound2.mp3‘)
 71 #未来四天天气变化图
 72 def Future_weather_states(forecast):
 73   future_forecast = forecast
 74   dict={}
 75   #获取未来四天天气状况
 76   for i in range(5):
 77     data = []
 78     date=future_forecast[i][‘date‘]
 79     date = int(re.findall(‘\d+‘,date)[0])
 80     data.append(int(re.findall(‘\d+‘,future_forecast[i][‘high‘])[0]))
 81     data.append(int(re.findall(‘\d+‘, future_forecast[i][‘low‘])[0]))
 82     data.append(future_forecast[i][‘type‘])
 83     dict[date] = data
 84   data_list = sorted(dict.items())
 85   date=[]
 86   high_temperature = []
 87   low_temperature = []
 88   for each in data_list:
 89     date.append(each[0])
 90     high_temperature.append(each[1][0])
 91     low_temperature.append(each[1][1])
 92   fig = plt.plot(date,high_temperature,‘r‘,date,low_temperature,‘b‘)
 93   plt.xlabel(‘日期‘)
 94   plt.ylabel(‘℃‘)
 95   plt.legend([‘高温‘,‘低温‘])
 96   plt.xticks(date)
 97   plt.title(‘最近几天温度变化趋势‘)
 98   plt.show()
 99 #主函数
100 if __name__==‘__main__‘:
101   weather_data = Get_weather_data()
102   weather_forecast_txt, forecast = Show_weather(weather_data)
103   Future_weather_states(forecast)
104   Voice_broadcast(weather_forecast_txt)