Files
codeocean/lib/tasks/detect_exercise_anomalies.rake
2017-12-10 19:25:05 +01:00

53 lines
2.3 KiB
Ruby

namespace :detect_exercise_anomalies do
task :with_at_least, [:number_of_exercises, :number_of_solutions] => :environment do |task, args|
number_of_exercises = args.number_of_exercises
number_of_solutions = args.number_of_solutions
# These factors determine if an exercise is an anomaly, given the average working time (avg):
# (avg * MIN_TIME_FACTOR) <= working_time <= (avg * MAX_TIME_FACTOR)
MIN_TIME_FACTOR = 0.1
MAX_TIME_FACTOR = 2
# Get all exercise collections that have at least the specified amount of exercises and at least the specified
# number of submissions AND are flagged for anomaly detection
collections = ExerciseCollection
.where(:use_anomaly_detection => true)
.joins("join exercise_collections_exercises ece on exercise_collections.id = ece.exercise_collection_id
join
(select e.id
from exercises e
join submissions s on s.exercise_id = e.id
group by e.id
having count(s.user_id) > #{ExerciseCollection.sanitize(number_of_solutions)}
) as exercises_with_submissions on exercises_with_submissions.id = ece.exercise_id")
.group('exercise_collections.id')
.having('count(exercises_with_submissions.id) > ?', number_of_exercises)
collections.each do |collection|
puts "\t- #{collection}"
working_times = {}
collection.exercises.each do |exercise|
puts "\t\t> #{exercise.title}"
avgwt = exercise.average_working_time.split(':')
seconds = avgwt[0].to_i * 60 * 60 + avgwt[1].to_i * 60 + avgwt[2].to_f
working_times[exercise.id] = seconds
end
average = working_times.values.reduce(:+) / working_times.size
anomalies = working_times.select do |exercise_id, working_time|
working_time > average * MAX_TIME_FACTOR or working_time < average * MIN_TIME_FACTOR
end
puts "\t\tSending E-Mail..."
UserMailer.exercise_anomaly_detected(collection, anomalies).deliver_now
puts "\t\tResetting flag..."
collection.use_anomaly_detection = false
collection.save!
puts "\t\tDone."
end
end
end