parser = argparse.ArgumentParser(description = 'Generate HITs for Amazon Mechnical Turk workers.')

parser.add_argument('-f', help = 'The mtk data source file.')

parser.add_argument('-o', help = 'The output file of used data.')

args = parser.parse_args()

data_sources = []

if (args.f != None):

data_sources = utils.load_file(args.f)

random.shuffle(data_sources)

db_collections = hit.setup_mongodb()

data_metainfo = hit.regex_datasource(data_sources)

images_metainfo = hit.query_imagedata_from_db(db_collections, data_metainfo)

# data_labels: flickr high interesting 1, flickr low interesting 2, pinterest [3, 4, 5]

data_labels = data_metainfo[0]

# data_ids: (flickr, pinterest) image id

data_ids = data_metainfo[1]

data_count_limit = 50

for begin_index in range(0, len(data_sources), data_count_limit):

print("index: " + str(begin_index))

generate_hits(data_sources[begin_index:begin_index + data_count_limit], begin_index, args, data_ids[begin_index:begin_index + data_count_limit], images_metainfo)

from boto.mturk.connection import MTurkConnection

from boto.mturk.question import QuestionContent, Question, QuestionForm, Overview, AnswerSpecification, SelectionAnswer, FormattedContent, FreeTextAnswer

from boto.mturk.qualification import PercentAssignmentsApprovedRequirement, Qualifications

ACCESS_ID = amazon_config.ACCESS_ID

SECRET_KEY = amazon_config.SECRET_KEY

HOST = 'mechanicalturk.amazonaws.com'

mtc = MTurkConnection(aws_access_key_id=ACCESS_ID,

aws_secret_access_key=SECRET_KEY,

host=HOST)

title = 'Give your opinion of interestingness level about images'

description = ('Watch images and give us your opinion of interestingness level about the images')

keywords = 'image, interestingness, interesting, rating, opinions'

ratings =[('Very boring','-2'),

('Boring','-1'),

('Neutral','0'),

('Interesting','1'),

('Very interesting, I would like to share it with my friends.','2')]

#--------------- BUILD OVERVIEW -------------------

overview = Overview()

overview.append_field('Title', 'Give your opinion about interestingness level on those images')

#--------------- BUILD QUESTIONs -------------------

questions = []

utils.write_file(subset, args.o + '.index_' + str(begin_index) + '.txt')

index = 0

for image_url in subset:

image_id = data_ids[index]

image = images_metainfo[image_id]

interestingness = 0

if ('repin_count' in image):

interestingness = int(image['repin_count']) + int(image['like_count'])

#else:

# interestingness = int(image['interestingness'])

index = index + 1

qc = QuestionContent()

context = ''

if (interestingness > 0):

context = ' (shared by ' + str(interestingness) + ' people)'

qc.append_field('Title','How interesting the image' + context + ' to you?')

qc.append(FormattedContent('<img src="' + image_url + '" alt="image" />'))

fta = SelectionAnswer(min=1, max=1,style='dropdown',

selections=ratings,

type='text',

other=False)

q = Question(identifier='interestingness',

content=qc,

answer_spec=AnswerSpecification(fta),

is_required=True)

questions.append(q)

#--------------- BUILD THE QUESTION FORM -------------------

question_form = QuestionForm()

question_form.append(overview)

for question in questions:

question_form.append(question)

# BUILD QUALIFICATION

qualifications = Qualifications()

req = PercentAssignmentsApprovedRequirement(comparator = "GreaterThan", integer_value = "95")

qualifications.add(req)

#--------------- CREATE THE HIT -------------------

mtc.create_hit(questions = question_form,

qualifications = qualifications,

max_assignments = 10,

title = title,

description = description,

keywords = keywords,

duration = 60 * 30,