def update_relevant():
"""Updates relevant feeds"""
print("Update relevant!")
remove_current()
entries_sorted = get_relevant_news(FEED, NUMBER_OF_KEYWORDS, ALGORITHM)
entries_sorted = sorted(entries_sorted, key=lambda e: e['score'], reverse=True)
save_current(entries_sorted)
return redirect('/relevant')
def update_newest():
"""Updates newest feeds"""
print("Update newest!")
remove_current()
entries_sorted = get_feed_posts(FEED, NUMBER_OF_KEYWORDS)
entries_sorted = sorted(entries_sorted, key=lambda e: e['published'], reverse=True)
save_current(entries_sorted)
return redirect('/')
def update_newest():
"""Updates newest feeds"""
print("Update newest!")
remove_current()
entries_sorted = get_feed_posts(FEED, NUMBER_OF_KEYWORDS)
entries_sorted = sorted(entries_sorted, key=lambda e: e['published'], reverse=True)
save_current(entries_sorted)
return redirect('/')
def update_relevant():
"""Updates relevant feeds"""
print("Update relevant!")
remove_current()
entries_sorted = get_relevant_news(FEED, NUMBER_OF_KEYWORDS, ALGORITHM)
entries_sorted = sorted(entries_sorted, key=lambda e: e['score'], reverse=True)
save_current(entries_sorted)
return redirect('/relevant')
def index(page):
print("Without ML!")
entries_sorted = get_saved_current(PER_PAGE, page)
if not entries_sorted:
entries_sorted = get_feed_posts(FEED, NUMBER_OF_KEYWORDS)
save_current(entries_sorted)
entries_sorted = entries_sorted[PER_PAGE * (page - 1): PER_PAGE * page]
count = count_current() or len(entries_sorted)
data = {
'entries': entries_sorted,
'count': count,
'view_name': 'index',
}
pagination = Pagination(page, PER_PAGE, count)
return render_template('index.html', pagination=pagination, **data)
def index_relevant(page):
print("ML is ON!")
entries_sorted = get_saved_current(PER_PAGE, page)
if not entries_sorted:
entries_sorted = get_relevant_news(FEED, NUMBER_OF_KEYWORDS, ALGORITHM)
entries_sorted = sorted(entries_sorted, key=lambda e: e['score'], reverse=True)
save_current(entries_sorted)
entries_sorted = entries_sorted[PER_PAGE * (page - 1): PER_PAGE * page]
count = count_current() or len(entries_sorted)
data = {
'entries': entries_sorted,
'count': count,
'view_name': 'relevant',
}
pagination = Pagination(page, PER_PAGE, count)
return render_template('index.html', pagination=pagination, **data)
def index(page):
print("Without ML!")
entries_sorted = get_saved_current(PER_PAGE, page)
if not entries_sorted:
entries_sorted = get_feed_posts(FEED, NUMBER_OF_KEYWORDS)
save_current(entries_sorted)
entries_sorted = entries_sorted[PER_PAGE * (page - 1): PER_PAGE * page]
count = count_current() or len(entries_sorted)
data = {
'entries': entries_sorted,
'count': count,
'view_name': 'index',
}
pagination = Pagination(page, PER_PAGE, count)
return render_template('index.html', pagination=pagination, **data)
def index_relevant(page):
print("ML is ON!")
entries_sorted = get_saved_current(PER_PAGE, page)
if not entries_sorted:
entries_sorted = get_relevant_news(FEED, NUMBER_OF_KEYWORDS, ALGORITHM)
entries_sorted = sorted(entries_sorted, key=lambda e: e['score'], reverse=True)
save_current(entries_sorted)
entries_sorted = entries_sorted[PER_PAGE * (page - 1): PER_PAGE * page]
count = count_current() or len(entries_sorted)
data = {
'entries': entries_sorted,
'count': count,
'view_name': 'relevant',
}
pagination = Pagination(page, PER_PAGE, count)
return render_template('index.html', pagination=pagination, **data)