def results_overview(request,user):
user = figure_out_username_capitalization(user)
if user in [None,'']:
return HttpResponse('Er is een probleem. Heb je misschien een afgeschermd account?')
return render(request,'result_overview.html',{'twitter_user':user,
'classifier_sections':ClassifierSection.objects.all().order_by('position'),
'profile_image_url':get_profile_image_url(user,settings.PASSWORD_FOLDER )})
def individual_classifier_result(request,user,classifier_name):
#Find the classifier object
classifier = None
for classifier_section in ClassifierSection.objects.all():
if classifier_section.classifier_module_name in [classifier_name+'_classifier',classifier_name]:
classifier = classifier_section
break
if classifier == None:
raise Http404("No classifier with this name is defined")
all_tweets_for_user = file_to_tweet_dict(settings.TWEET_DATAFOLDER+user+'.txt')
try:
#Annotated tweets group may be smaller than group of all tweets
annotated_tweets = add_annotations_in_files_to_tweets(settings.CLASSIFICATION_DATAFOLDER + user + '.' + classifier.classifier_module_name + '.txt',
classifier_name, all_tweets_for_user)
except FileNotFoundError:
return HttpResponse(-1);
# Prepare saving the most extreme scores for each class for this classifier
most_extreme_tweets = {}
meterscores_per_class = {}
# See what classes there are for this classifier, by taking them from a random tweet
classes_for_this_classifier = list(
annotated_tweets[0].automatic_classifications[classifier_name].keys())
# For each class, take the most extreme cases
for classname in classes_for_this_classifier:
all_tweets_sorted_by_confidence_for_this_class = sorted(annotated_tweets, key=lambda tweet:
tweet.automatic_classifications[classifier_name][classname], reverse=True)
most_extreme_tweets[classname] = all_tweets_sorted_by_confidence_for_this_class[
:settings.NUMBER_OF_TWEETS_TO_SHOW_PER_CLASS]
if classifier_section.number_of_tweets_in_score_calculation == 0:
tweets_to_use_for_meter_score = all_tweets_sorted_by_confidence_for_this_class
else:
tweets_to_use_for_meter_score = all_tweets_sorted_by_confidence_for_this_class[
:classifier_section.number_of_tweets_in_score_calculation]
meterscores_per_class[classname] = calculate_meterscore_for_class_based_on_tweets(classifier_name,classname,tweets_to_use_for_meter_score)
print(most_extreme_tweets)
return render(request, classifier_name+'_content.html',
{
'most_extreme_tweets': most_extreme_tweets,
'meterscores_per_class': meterscores_per_class,
'profile_image_url': get_profile_image_url(user, settings.PASSWORD_FOLDER)})
