def getNewsClimate(max_articles=20):
gn = GoogleNews(lang='en', country='US')
climate_news = gn.topic_headlines('CAAqBwgKMKeh0wEw-sE1')
search = climate_news['entries'][:max_articles]
rtn = {}
for i in range(len(search)):
rtn[i] = {
'title': search[i].title,
'href': search[i]['links'][0]['href']
}
return rtn
def handle_topic(irc: IRC, google_news: GoogleNews, target: str,
topic: str) -> None:
"""Handle a topic request."""
irc.send_message(target, "Working on it")
logger.info("Fetching news for topic %s", topic)
try:
news = google_news.topic_headlines(topic)
for entry in news["entries"][:5]:
irc.send_message(target, entry["title"])
except Exception as exception: # pylint: disable=broad-except
if str(exception) == "unsupported topic":
# See: https://github.com/kotartemiy/pygooglenews#stories-by-topic-1
irc.send_message(
target, "That topic is not supported. Supported topics are:")
irc.send_message(
target,
"world, nation, business, technology, entertainment, science, sports, health"
)
else:
raise exception
for i in range(n_classes):
plt.plot(fpr[i], tpr[i], label='ROC curve of {0} (area = {1:0.9f})'
''.format(category_id_df[category_id_df['category_id'] == i].Category, roc_auc[i]))
plt.plot([0, 1], [0, 1], 'k--')
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.legend(loc="lower right")
plt.show()
pip install pygooglenews
from pygooglenews import GoogleNews
# default GoogleNews instance
gn = GoogleNews(lang = 'en', country = 'US')
business = gn.topic_headlines('BUSINESS', proxies=None, scraping_bee = None)
pip install newsapi-python
from newsapi import NewsApiClient
api = NewsApiClient(api_key='b1b6e4269a814e8bbe8a477b3226e918')
business = api.get_top_headlines(category = 'business', language = 'en', country='us')
sport = api.get_top_headlines(category = 'sports', language = 'en', country='us')
enter = api.get_top_headlines(category = 'entertainment', language = 'en', country='us')
tech = api.get_top_headlines(category = 'technology', language = 'en', country='us')
var_issue_counter = int(f_issue.readline())
f_issue.close()
var_issue_counter += 1
f_issue = open(Issue_counter_filename, "w")
f_issue.write(str(var_issue_counter))
f_issue.close()
else:
var_issue_counter = 1
f_issue = open(Issue_counter_filename, "w")
f_issue.write(str(var_issue_counter))
f_issue.close()
issue_counter_flg=1
today = date.today()
issue_date = today.strftime("%B %d %Y")
gn = GoogleNews(lang='en', country='IN')
covid_news = gn.topic_headlines('CAAqIggKIhxDQkFTRHdvSkwyMHZNREZqY0hsNUVnSmxiaWdBUAE')
covid_news_local=gn.search(f'coronavirus {loc}')
f_more = open(more_stories_filename, encoding='utf-8', mode="a")
f_more.write('<!DOCTYPE html>')
f_more.write('<html>')
f_more.write('<body>')
f = open(html_filename, encoding='utf-8', mode="a")
f.write('<!DOCTYPE html>')
f.write('<html>')
f.write('<body>')
f.write('<div>')
cover_image_idx=np.random.randint(0,7)
cover_image=coverpic_li[cover_image_idx]
f.write(f'<img src={cover_image} width="1000" height="400">')
f.write(
f'<p style="font-family:sans-serif;color:#686868;font-size:12px;"><b>Issue Date: {issue_date} Issue: {var_issue_counter}</b></p>')
