def test_create_article(self):
"""Test article creation and deletion"""
article = Article(venue_id=3, year=1999)
full_path = os.path.join(settings.ROOT_DIR, 'articles', 'fixtures',
'Hofmann-SIGIR99.pdf')
with open(full_path, 'rb') as pdf:
article.pdf.save(os.path.basename(full_path), File(pdf), save=True)
article.save()
collocs = Collocations.objects.all()
self.assertTrue(collocs)
self.assertEqual(collocs[0].ngram, 'probabilistic latent semantic indexing')
article.delete()
# Check it's empty now
collocs = Collocations.objects.filter(count__gt=0).exists()
self.assertFalse(collocs)
def generate_temp_article(text):
# TODO: make this Article class method
from axel.articles.models import Article, Venue, TestCollocations
import json
venue = Venue.objects.get(acronym='SIGIR')
stemmed_text = nlp.Stemmer.stem_wordnet(text)
index = json.dumps(nlp.build_ngram_index(stemmed_text))
article = Article(text=text, cluster_id='CS_COLLOCS', venue=venue, year=2013,
stemmed_text=stemmed_text, index=index)
# TODO: extract title and abstract
article.save_base(raw=True)
article._create_collocations(True)
for test_colloc in TestCollocations.objects.filter(article=article):
obj = article.CollocationModel(ngram=test_colloc.ngram, count=test_colloc.count,
article=article, total_count=0, extra_fields={})
obj.save()
TestCollocations.objects.filter(article=article).delete()
return article
def handle(self, *args, **options):
dir = options['dir']
venue = options['venue']
year = int(options['year'])
cluster = options['cluster']
if not dir:
raise CommandError("need to specify directory")
if not venue:
raise CommandError("need to specify venue")
if not year:
raise CommandError("need to specify year")
if not cluster:
raise CommandError("need to specify cluster")
venue = Venue.objects.get(acronym=venue)
# Traverse and import PDFs
article_ids = []
for root, dirs, files in os.walk(dir):
for name in files:
if name.endswith('.pdf'):
full_path = os.path.join(root, name)
article = Article(venue=venue, year=year, cluster_id=cluster)
with open(full_path, 'rb') as pdf:
article.pdf.save(name, File(pdf), save=True)
article.save()
article_ids.append(article.id)
print 'Starting collocation population...'
Article.create_collocations(cluster)
print 'Starting merging... (dashed ngrams)'
all_ngrams = set(ArticleCollocation.objects.values_list('ngram', flat=True).distinct())
dashed_ngrams = [ngram for ngram in all_ngrams if '-' in ngram]
for d_ngram in dashed_ngrams:
if d_ngram.replace('-', ' ') in all_ngrams:
print d_ngram