def apply_article_metadata(article = None):
if article:
artObs = [article]
num_arts = 1
else:
# artObs = m.Article.objects.filter(metadata__isnull = True, articlefulltext__isnull = False).distinct()
artObs = m.Article.objects.filter(articlefulltext__isnull = False).distinct()
# artObs = artObs.exclude(articlefulltext__articlefulltextstat__metadata_processed = True)
# artObs = m.Article.objects.filter(articlefulltext__isnull = False, articlefulltext__articlefulltextstat__methods_tag_found = True).distinct()
# artObs = artObs.exclude(articlefulltext__articlefulltextstat__metadata_processed = True)
# artObs = artObs.exclude(articlefulltext__articlefulltextstat__metadata_human_assigned = True)
num_arts = artObs.count()
print 'annotating %s articles for metadata...' % num_arts
for i,art in enumerate(artObs):
if not article:
prog(i,num_arts)
assign_metadata.assign_species(art)
assign_metadata.assign_electrode_type(art)
assign_metadata.assign_strain(art)
assign_metadata.assign_rec_temp(art)
assign_metadata.assign_prep_type(art)
assign_metadata.assign_animal_age(art)
assign_metadata.assign_jxn_potential(art)
assign_metadata.assign_solution_concs(art)
aft_ob = art.get_full_text()
aftStatOb = m.ArticleFullTextStat.objects.get_or_create(article_full_text = aft_ob)[0]
aftStatOb.metadata_processed = True
aftStatOb.save()
def apply_article_metadata_jxn_potential():
articles = m.Article.objects.filter(Q(datatable__datasource__neuronconceptmap__times_validated__gte = 1) |
Q(usersubmission__datasource__neuronconceptmap__times_validated__gte = 1)).distinct()
articles = articles.filter(articlefulltext__articlefulltextstat__metadata_human_assigned = True ).distinct()
num_arts = articles.count()
print 'annotating %s articles for metadata...' % num_arts
for i,art in enumerate(articles):
prog(i,num_arts)
assign_metadata.assign_jxn_potential(art)
