You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
breadability/tests/test_articles/test_scripting_com/test.py

75 lines
2.4 KiB
Python

# -*- coding: utf8 -*-
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals
)
import os
from operator import attrgetter
from breadability.readable import Article
from breadability.readable import check_siblings
from breadability.readable import prep_article
from ...compat import unittest
class TestArticle(unittest.TestCase):
"""Test the scoring and parsing of the Article"""
def setUp(self):
"""Load up the article for us"""
article_path = os.path.join(os.path.dirname(__file__), 'article.html')
self.article = open(article_path).read()
def tearDown(self):
"""Drop the article"""
self.article = None
def test_parses(self):
"""Verify we can parse the document."""
doc = Article(self.article)
self.assertTrue('id="readabilityBody"' in doc.readable)
def test_content_exists(self):
"""Verify that some content exists."""
doc = Article(self.article)
self.assertTrue('Amazon and Google' in doc.readable)
self.assertFalse('Linkblog updated' in doc.readable)
self.assertFalse(
'#anExampleGoogleDoesntIntendToShareBlogAndItWill' in doc.readable)
@unittest.skip("Test fails because of some weird hash.")
def test_candidates(self):
"""Verify we have candidates."""
doc = Article(self.article)
# from lxml.etree import tounicode
found = False
wanted_hash = '04e46055'
for node in doc.candidates.values():
if node.hash_id == wanted_hash:
found = node
self.assertTrue(found)
# we have the right node, it must be deleted for some reason if it's
# not still there when we need it to be.
# Make sure it's not in our to drop list.
for node in doc._should_drop:
self.assertFalse(node == found.node)
by_score = sorted(
[c for c in doc.candidates.values()],
key=attrgetter('content_score'), reverse=True)
self.assertTrue(by_score[0].node == found.node)
updated_winner = check_siblings(by_score[0], doc.candidates)
updated_winner.node = prep_article(updated_winner.node)
# This article hits up against the img > p conditional filtering
# because of the many .gif images in the content. We've removed that
# rule.