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)