def fetch(pid):
'''
Fetch single paper from The American Presidency Project website (http://www.presidency.ucsb.edu/)
and return as standard paper/article dict
'''
url = base_url + '/ws/index.php?pid=' + pid
soup = get_soup(url)
# the HTML they generate is awkward, to say the least
author, title = soup.find('title').get_text().split(': ', 1)
date_string = soup.find('span', class_='docdate').string
date = datetime.strptime(date_string, '%B %d, %Y')
timestamp = date.date().isoformat()
displaytext = soup.find('span', class_='displaytext')
text = '\n'.join(iter_lines(displaytext))
paper = dict(author=author,
title=title.strip('.'),
timestamp=timestamp,
source=url,
text=text)
displaynotes = soup.find('span', class_='displaynotes')
note = displaynotes.get_text(' ') or None
if note:
# remove "Note: " prefix if present
paper['note'] = re.sub(r'^note:\s+', '', note, flags=re.I)
return paper
def fetch_election(year):
'''
Fetch all papers related to an election campaign; year should be one of:
2016, 2012, 2008, 2004, 1960
'''
year_html = get_html(base_url + '/' + year + '_election.php')
if year == '2008':
# fix weird issue in Fred Thompson's entry
year_html = year_html.replace(
'Status: withdrew on <span class="docdate">',
'Status: <span class="docdate">withdrew on ')
soup = BeautifulSoup(year_html)
container = soup.find('td', class_='doctext').find_parent('table')
for td in container.find_all('td', class_='doctext'):
paragraphs = td.find_all('p')
if len(paragraphs) > 0:
info_paragraph, links_paragraph = paragraphs
candidate = _get_candidate_info(info_paragraph)
for category, category_url in _iter_candidate_categories(
links_paragraph):
logger.info('Fetching papers from category "%s"', category)
category_soup = get_soup(category_url)
category_pids = _get_pids(category_soup)
for pid in category_pids:
paper = fetch(pid)
if candidate['name'] != paper['author']:
logger.warn(
'candidate name "%s" does not match paper author "%s" (%s)',
candidate['name'], paper['author'], pid)
paper['category'] = category
yield paper
def fetch_transition(year):
'''
Fetch all papers related to a presidential transition; year should be one of:
2017, 2009, 2001
'''
soup = get_soup(base_url + '/transition' + year + '.php')
for pid in _get_pids(soup):
paper = fetch(pid)
yield paper
def _iter_speeches():
soup = get_soup(base_url + '/president/speeches')
current_author = None
for child in soup.find(id='listing').children:
if child.name == 'h2':
current_author = child.contents[0].strip()
elif child.name == 'div':
for anchor in child.select('.title a'):
title, date = _split_title(anchor.text)
yield current_author, title, date, anchor['href']
def fetch(page_url):
'''
Given a full ABC News url, or just the partial path, fetch the page and
return a standard speech dict
'''
url = page_url
if not url.startswith(base_url):
url = base_url + '/' + url.lstrip('/')
soup = get_soup(url)
timestamp_string = soup.find(class_='timestamp').get_text()
return {
'source': url,
'timestamp': parse_date(timestamp_string).isoformat(),
'text': '\n'.join(_iter_article_paragraphs(soup)),
}
def _fetch_page(url):
soup = get_soup(url)
# heading_title = soup.find(class_='heading-title')
# heading_subtitle = soup.find(class_='heading-subtitle')
press_article_date = soup.find(class_='press-article-date')
date = press_article_date.get_text()
title = soup.find(class_='pane-node-title')
content = soup.find(id='content-start')
# body = content.select_one('.forall-body.field-type-text-long')
bodies = content.select('.forall-body')
text = u'\n'.join(iter_lines(*bodies))
return {
'source': url,
'timestamp': parse_date(date).isoformat(),
'text': text,
}
def fetch(program_id):
'''
Scrape C-SPAN transcript from https://www.c-span.org/ by Program ID
Returns a standard paper/article dict
'''
url = 'https://www.c-span.org/video/?' + program_id
soup = get_soup(url)
dl = soup.find(id='more-information').find(class_='details').find('dl')
details = {k.strip(':'): v for k, v in iter_datalist_pairs(dl)}
first_aired_date = ''.join(details['First Aired'].split('|')[:-1])
return {
'source': url,
'text': '\n'.join(_fetch_transcript_paragraphs(program_id)),
'timestamp': parse_date(first_aired_date).isoformat(),
'location': details['Location'],
'category': details['Format'].lower(),
}
def fetch_inaugurals():
ordinals = ['Zeroth', 'First', 'Second', 'Third', 'Fourth']
soup = get_soup(base_url + '/inaugurals.php')
pids = _get_pids(soup)
# TAPP doesn't title (number) each inaugural distinctly
authors = dict()
for pid in pids:
paper = fetch(pid)
author = paper['author']
nth = authors[author] = authors.get(author, 0) + 1
# TAPP does not use consistent titles; e.g.,
# Richard Nixon gets "Oath of Office and Second Inaugural Address"
# Lyndon B. Johnson gets "The President's Inaugural Address"
# So we generate titles consistent with Miller Center's titles
title = 'Inaugural Address'
if nth > 1:
title = ordinals[nth] + ' ' + title
paper['title'] = title
yield paper
def _iter_group_pages(url):
'''
Iterate over (title, url) pairs for a given page (usually called with a root
briefing-room group page url)
'''
soup = get_soup(url)
view = soup.find(class_='view')
rows = view.find_all(class_='views-row')
# list the rows on this page
for row in rows:
a = row.find('a')
page_title = a.get_text()
page_url = urljoin(base_url, a['href'])
yield page_title, page_url
# recurse into the next page
for a in view.find(class_='pager').find_all('a'):
if a.get_text() == 'Next':
next_url = urljoin(base_url, a['href'])
for page_title, page_url in _iter_group_pages(next_url):
yield page_title, page_url
def _fetch_transcript_paragraphs(program_id):
url = 'https://www.c-span.org/video/?' + program_id + '&action=getTranscript&transcriptType=cc'
soup = get_soup(url)
for paragraph in soup.find_all('p'):
text = ''.join(filter(not_empty, map(strip, _iter_transcript_paragraph_strings(paragraph))))
yield ' '.join(text.strip().split())
def fetch_listing(params):
soup = get_soup(base_url + '/ws/index.php', params=params)
for pid in _get_pids(soup):
paper = fetch(pid)
yield paper
