yahoo!天気のrssデータでpythonの天気予報データ読上げプログラムをリプレース

start
140010
Traceback (most recent call last):
File "/home/pi/python-pg/tenki_file.py", line 116, in
main()
File "/home/pi/python-pg/tenki_file.py", line 13, in main
txt_weather()
File "/home/pi/python-pg/tenki_file.py", line 50, in txt_weather
obj = json.loads( r.read().decode('utf-8') )
File "/usr/lib/python3.5/json/init.py", line 319, in loads
return _default_decoder.decode(s)
File "/usr/lib/python3.5/json/decoder.py", line 339, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/usr/lib/python3.5/json/decoder.py", line 357, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 2 column 1 (char 4)
convert end
add border end
size change end

obj = json.loads( r.read().decode('utf-8') )

 json_url = 'https://weather.livedoor.com/forecast/webservice/json/v1' #API URL
try:
r = urllib.request.urlopen('%s?city=%s' % (json_url, city) )
obj = json.loads( r.read().decode('utf-8') )

## Parser : 天気情報WebページのHTMLタグから天気情報を抽出してパースするメソッド ####################
def Parser(rssurl):
with urllib.request.urlopen(rssurl) as res:
xml = res.read()
soup = BeautifulSoup(xml, "html.parser")
for item in soup.find_all("item"):
title = item.find("title").string
description = item.find("description").string
if title.find("[ PR ]") == -1:
tenki.append(title)
detail.append(description)
### Execute
# 抽出対象のRSS(神奈川県横浜市)
rssurl = "https://rss-weather.yahoo.co.jp/rss/days/4610.xml"

 # TODAY
cast = forecasts[0]
today_w_txt = weather_text % (cast['dateLabel'], cast['telop'])
# TOMMOROW
cast = forecasts[1]
temperature = cast['temperature']
tommorow_w_txt = weather_text % (cast['dateLabel'], cast['telop'])
tommorow_t_txt = temperature_text % (cast['dateLabel'], temperature['max']['celsius'], temperature['min']['celsius'])
# SAY
weather_str = title + ' ' + today_w_txt + ' ' + tommorow_w_txt + ' ' + tommorow_t_txt

 for i in range(0,2):
detail2 = detail[i].split()
if i == 0:
kyo_tenki = detail2[0]
temp = detail2[2].split('/')
kyo_max = temp[0]
kyo_min = temp[1]
else:
asu_tenki = detail2[0]
temp = detail2[2].split('/')
asu_max = temp[0]
asu_min = temp[1]
title = u'神奈川県横浜の天気'
# TODAY
today_w_txt = weather_text % ('今日', kyo_tenki)
today_t_txt = temperature_text % ('今日', kyo_max, kyo_min)
# TOMMOROW
tommorow_w_txt = weather_text % ('明日', asu_tenki)
tommorow_t_txt = temperature_text % ('明日', asu_max, asu_min)
# SAY
weather_str = title + ' ' + today_w_txt + today_t_txt + ' ' + tommorow_w_txt + ' ' + tommorow_t_txt

sudo pip3 install beautifulsoup4

【 18日（火） 東部（横浜） 】 晴のち曇 - 34℃/27℃ - Yahoo!天気・災害

jsay 8月20日、10時26分7秒
/usr/local/bin/jsay 8月20日、10時26分7秒
jsay '神奈川県横浜の天気 今日の天気は晴れです。今日の予想最高気温、35℃度、予想 最低気温、26℃度です。 明日の天気は晴れです。 明日の予想最高気温、35℃度、予想最低気温、26℃度です。'

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import shlex
import subprocess
from datetime import datetime
import urllib.request
from bs4 import BeautifulSoup
CMD_SAY = 'jsay'
def main():
say_datetime()
say_weather()
return
def say_datetime():
d = datetime.now()
text = '%s月%s日、%s時%s分%s秒' % (d.month, d.day, d.hour, d.minute, d.second)
text = CMD_SAY + ' ' + text
print (text)
text = '/usr/local/bin/' + text
print (text)
proc = subprocess.Popen(shlex.split(text))
proc.communicate()
return
def say_weather():
weather_text = u'%sの天気は%sです。'
temperature_text = u'%sの予想最高気温、%s度、予想最低気温、%s度です。'
Parser(rssurl) # 天気予報サイトのHTMLタグから天気情報を抽出
for i in range(0,2):
detail2 = detail[i].split()
if i == 0:
kyo_tenki = detail2[0]
temp = detail2[2].split('/')
kyo_max = temp[0]
kyo_min = temp[1]
else:
asu_tenki = detail2[0]
temp = detail2[2].split('/')
asu_max = temp[0]
asu_min = temp[1]
title = u'神奈川県横浜の天気'
# TODAY
today_w_txt = weather_text % ('今日', kyo_tenki)
today_t_txt = temperature_text % ('今日', kyo_max, kyo_min)
# TOMMOROW
tommorow_w_txt = weather_text % ('明日', asu_tenki)
tommorow_t_txt = temperature_text % ('明日', asu_max, asu_min)
# SAY
weather_str = title + ' ' + today_w_txt + today_t_txt + ' ' + tommorow_w_txt + ' ' + tommorow_t_txt
#weather_str = weather_str.encode('utf-8')
text = '''%s '%s' ''' % (CMD_SAY, weather_str)
print (text)
proc = subprocess.Popen(shlex.split(text))
proc.communicate()
return
## Parser : 天気情報WebページのHTMLタグから天気情報を抽出してパースするメソッド ####################
def Parser(rssurl):
with urllib.request.urlopen(rssurl) as res:
xml = res.read()
soup = BeautifulSoup(xml, "html.parser")
for item in soup.find_all("item"):
title = item.find("title").string
description = item.find("description").string
if title.find("[ PR ]") == -1:
tenki.append(title)
detail.append(description)
### Execute
# 抽出対象のRSS(神奈川県横浜市)
rssurl = "https://rss-weather.yahoo.co.jp/rss/days/4610.xml"
tenki = []
detail = []
detail2 = []
temp = []
if __name__ == "__main__":
main()