def test_extract_multiple_authors_no_oxford_comma(self):
article = {
'author_detail': {
'name': 'BY JOHN HEIMER, HWAIDA SAAD and BEN HUBBARD'
}
}
authors = extractor.extract_authors(article)
author_names = [author.name for author in authors]
self.assertEqual(author_names, ['John Heimer', 'Hwaida Saad', 'Ben Hubbard'])
self.assertEqual(Author.query.count(), 3)
def test_extract_multiple_authors_and(self):
article = {
'author_detail': {
'name': 'BY JOHN HEIMER and BEN HUBBARD'
}
}
authors = extractor.extract_authors(article)
author_names = [author.name for author in authors]
self.assertEqual(author_names, ['John Heimer', 'Ben Hubbard'])
self.assertEqual(Author.query.count(), 2)
def test_extract_multiple_authors_no_oxford_comma(self):
article = {
'author_detail': {
'name': 'BY JOHN HEIMER, HWAIDA SAAD and BEN HUBBARD'
}
}
authors = extractor.extract_authors(article)
author_names = [author.name for author in authors]
self.assertEqual(author_names,
['John Heimer', 'Hwaida Saad', 'Ben Hubbard'])
self.assertEqual(Author.query.count(), 3)
def test_extract_single_authors(self):
articles = [{
'author': 'John Heimer'
}, {
'author_detail': {
'name': 'John Heimer'
}
}, {
'author_detail': {
'name': 'By John Heimer'
}
}, {
'author_detail': {
'name': 'BY JOHN HEIMER'
}
}]
for article in articles:
authors = extractor.extract_authors(article)
self.assertEqual(authors[0].name, 'John Heimer')
self.assertEqual(Author.query.count(), 1)
def test_extract_single_authors(self):
articles = [{
'author': 'John Heimer'
},{
'author_detail': {
'name': 'John Heimer'
}
}, {
'author_detail': {
'name': 'By John Heimer'
}
}, {
'author_detail': {
'name': 'BY JOHN HEIMER'
}
}
]
for article in articles:
authors = extractor.extract_authors(article)
self.assertEqual(authors[0].name, 'John Heimer')
self.assertEqual(Author.query.count(), 1)
def get_articles(feed, fn):
"""
Parse the specified feed,
gathering the latest new articles.
If an article matches one that already exists,
it is skipped.
The minimum length of an entry is
500 characters. Anything under will be ignored.
This will silently skip articles for which the full text
can't be retrieved (i.e. if it returns 404).
Some feeds, for whatever reason, do not include a `published`
date in their entry data. In which case, it is left as an
empty string.
Args:
| feed (Feed) -- the feed to fetch from.
| fn (Callable) -- function to use an article
"""
# Fetch the feed data.
data = feedparser.parse(feed.ext_url)
# If the `bozo` value is anything
# but 0, there was an error parsing (or connecting) to the feed.
if data.bozo:
# Some errors are ok.
if not isinstance(
data.bozo_exception,
feedparser.CharacterEncodingOverride) and not isinstance(
data.bozo_exception, feedparser.NonXMLContentType):
raise data.bozo_exception
for entry in data.entries:
# URL for this entry.
url = entry['links'][0]['href']
# Check for an existing Article.
# If one exists, skip.
if Article.query.filter_by(ext_url=url).count():
continue
# Complete HTML content for this entry.
try:
entry_data, html = extractor.extract_entry_data(url)
except (error.HTTPError, error.URLError, ConnectionResetError,
BadStatusLine) as e:
if type(e) == error.URLError or e.code == 404:
# Can't reach, skip.
logger.exception(
'Error extracting data for url {0}'.format(url))
continue
else:
# Just skip so things don't break!
logger.exception(
'Error extracting data for url {0}'.format(url))
continue
if entry_data is None:
continue
full_text = entry_data.cleaned_text
# Skip over entries that are too short.
if len(full_text) < 400:
continue
url = entry_data.canonical_link or url
published = parse(entry.get('published')) if entry.get(
'published') else entry_data.publish_date
updated = parse(
entry.get('updated')) if entry.get('updated') else published
title = entry.get('title', entry_data.title)
# Secondary check for an existing Article,
# by checking the title and source.
existing = Article.query.filter_by(title=title).first()
if existing and existing.source == feed.source:
continue
# Download and save the top article image.
image_url = extractor.extract_image(entry_data, filename=hash(url))
fn(
Article(ext_url=url,
source=feed.source,
feed=feed,
html=html,
text=fix_text_segment(full_text),
authors=extractor.extract_authors(entry),
tags=extractor.extract_tags(entry,
known_tags=entry_data.tags),
title=fix_text_segment(title),
created_at=published,
updated_at=updated,
image=image_url,
score=evaluator.score(url)))
def get_articles(feed, fn):
"""
Parse the specified feed,
gathering the latest new articles.
If an article matches one that already exists,
it is skipped.
The minimum length of an entry is
500 characters. Anything under will be ignored.
This will silently skip articles for which the full text
can't be retrieved (i.e. if it returns 404).
Some feeds, for whatever reason, do not include a `published`
date in their entry data. In which case, it is left as an
empty string.
Args:
| feed (Feed) -- the feed to fetch from.
| fn (Callable) -- function to use an article
"""
# Fetch the feed data.
data = feedparser.parse(feed.ext_url)
# If the `bozo` value is anything
# but 0, there was an error parsing (or connecting) to the feed.
if data.bozo:
# Some errors are ok.
if not isinstance(data.bozo_exception, feedparser.CharacterEncodingOverride) and not isinstance(data.bozo_exception, feedparser.NonXMLContentType):
raise data.bozo_exception
for entry in data.entries:
# URL for this entry.
url = entry['links'][0]['href']
# Check for an existing Article.
# If one exists, skip.
if Article.query.filter_by(ext_url=url).count():
continue
# Complete HTML content for this entry.
try:
entry_data, html = extractor.extract_entry_data(url)
except (error.HTTPError, error.URLError, ConnectionResetError, BadStatusLine) as e:
if type(e) == error.URLError or e.code == 404:
# Can't reach, skip.
logger.exception('Error extracting data for url {0}'.format(url))
continue
else:
# Just skip so things don't break!
logger.exception('Error extracting data for url {0}'.format(url))
continue
if entry_data is None:
continue
full_text = entry_data.cleaned_text
# Skip over entries that are too short.
if len(full_text) < 400:
continue
url = entry_data.canonical_link or url
published = parse(entry.get('published')) if entry.get('published') else entry_data.publish_date
updated = parse(entry.get('updated')) if entry.get('updated') else published
title = entry.get('title', entry_data.title)
# Secondary check for an existing Article,
# by checking the title and source.
existing = Article.query.filter_by(title=title).first()
if existing and existing.source == feed.source:
continue
# Download and save the top article image.
image_url = extractor.extract_image(entry_data, filename=hash(url))
fn(Article(
ext_url=url,
source=feed.source,
feed=feed,
html=html,
text=fix_text_segment(full_text),
authors=extractor.extract_authors(entry),
tags=extractor.extract_tags(entry, known_tags=entry_data.tags),
title=fix_text_segment(title),
created_at=published,
updated_at=updated,
image=image_url,
score=evaluator.score(url)
))
def test_extract_multiple_authors_and(self):
article = {'author_detail': {'name': 'BY JOHN HEIMER and BEN HUBBARD'}}
authors = extractor.extract_authors(article)
author_names = [author.name for author in authors]
self.assertEqual(author_names, ['John Heimer', 'Ben Hubbard'])
self.assertEqual(Author.query.count(), 2)
