canvas-lms/lib/score_statistics_generator.rb

170 lines
6.2 KiB
Ruby

#
# Copyright (C) 2018 - present Instructure, Inc.
#
# This file is part of Canvas.
#
# Canvas is free software: you can redistribute it and/or modify it under
# the terms of the GNU Affero General Public License as published by the Free
# Software Foundation, version 3 of the License.
#
# Canvas is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU Affero General Public License for more
# details.
#
# You should have received a copy of the GNU Affero General Public License along
# with this program. If not, see <http://www.gnu.org/licenses/>.
#
class ScoreStatisticsGenerator
def self.update_score_statistics_in_singleton(course_id)
# The delay below is in case lots of little grade calculator
# updates come close together. Since we're a singleton, they won't
# queue up additional jobs if one exists. Our goal is to try to
# not run this potentially expensive query constantly.
# The random part of the delay is to make it not run for all courses in a
# term or all courses in a grading period at the same time.
min = Setting.get("minimum_seconds_wait_for_grade_statistics", 10).to_i
max = Setting.get("maximum_seconds_wait_for_grade_statistics", 130).to_i
send_later_if_production_enqueue_args(
:update_score_statistics,
{
singleton: "ScoreStatisticsGenerator:#{course_id}",
run_at: rand(min..max).seconds.from_now,
on_conflict: :loose
},
course_id
)
end
def self.update_score_statistics(course_id)
root_account_id = Course.find_by(id: course_id)&.root_account_id
self.update_assignment_score_statistics(course_id, root_account_id: root_account_id)
self.update_course_score_statistic(course_id)
end
def self.update_assignment_score_statistics(course_id, root_account_id:)
# note: because a score is needed for max/min/ave we are not filtering
# by assignment_student_visibilities, if a stat is added that doesn't
# require score then add a filter when the DA feature is on
statistics = GuardRail.activate(:secondary) do
connection = ScoreStatistic.connection
connection.select_all(<<~SQL)
WITH want_assignments AS (
SELECT a.id, a.created_at
FROM #{Assignment.quoted_table_name} a
WHERE a.context_id = #{course_id} AND a.context_type = 'Course' AND a.workflow_state = 'published'
), interesting_submissions AS (
SELECT s.assignment_id, s.user_id, s.score, a.created_at
FROM #{Submission.quoted_table_name} s
JOIN want_assignments a ON s.assignment_id = a.id
WHERE
s.excused IS NOT true
AND s.score IS NOT NULL
AND s.workflow_state = 'graded'
), want_users AS (
SELECT e.user_id
FROM #{Enrollment.quoted_table_name} e
WHERE e.type = 'StudentEnrollment' AND e.course_id = #{course_id} AND e.workflow_state NOT IN ('rejected', 'completed', 'deleted', 'inactive')
)
SELECT
s.assignment_id AS id,
MAX(s.score) AS max,
MIN(s.score) AS min,
AVG(s.score) AS avg,
COUNT(*) AS count
FROM
interesting_submissions s
WHERE
s.user_id IN (SELECT user_id FROM want_users)
GROUP BY s.assignment_id
ORDER BY MIN(s.created_at)
SQL
end
connection = ScoreStatistic.connection
now = connection.quote(Time.now.utc)
bulk_values = statistics.map do |assignment|
values =
[
assignment['id'],
assignment['max'],
assignment['min'],
assignment['avg'],
assignment['count'],
now,
now,
root_account_id
].join(',')
"(#{values})"
end
bulk_values.each_slice(100) do |bulk_slice|
connection.execute(<<~SQL)
INSERT INTO #{ScoreStatistic.quoted_table_name}
(assignment_id, maximum, minimum, mean, count, created_at, updated_at, root_account_id)
VALUES #{bulk_slice.join(',')}
ON CONFLICT (assignment_id)
DO UPDATE SET
minimum = excluded.minimum,
maximum = excluded.maximum,
mean = excluded.mean,
count = excluded.count,
updated_at = excluded.updated_at,
root_account_id = #{root_account_id}
SQL
end
end
def self.update_course_score_statistic(course_id)
current_scores = []
enrollment_ids = []
GuardRail.activate(:secondary) do
StudentEnrollment.select(:id, :user_id).not_fake.where(course_id: course_id, workflow_state: [:active, :invited]).
find_in_batches { |batch| enrollment_ids.concat(batch) }
# The grade calculator ensures all enrollments for the same user have the same score, so we only need one
# enrollment_id for our later score query
enrollment_ids = enrollment_ids.uniq(&:user_id).map(&:id)
enrollment_ids.each_slice(1000) do |enrollment_slice|
current_scores.concat(Score.where(enrollment_id: enrollment_slice, course_score: true).pluck(:current_score).compact)
end
end
score_count = current_scores.length
if score_count.zero?
CourseScoreStatistic.where(course_id: course_id).delete_all
return
end
average = current_scores.map(&:to_d).sum / BigDecimal(score_count)
# This is a safeguard to avoid blowing up due to database storage which is set to be a decimal with a precision of 8
# and a scale of 2. And really, what are you even doing awarding 1,000,000% or over in a course?
return if average > 999_999.99.to_d || average < -999_999.99.to_d
connection = CourseScoreStatistic.connection
now = connection.quote(Time.now.utc)
values = [
connection.quote(course_id),
connection.quote(average&.round(2)),
connection.quote(score_count),
now,
now
].join(",")
CourseScoreStatistic.connection.execute(<<~SQL)
INSERT INTO #{CourseScoreStatistic.quoted_table_name}
(course_id, average, score_count, created_at, updated_at)
VALUES (#{values})
ON CONFLICT (course_id)
DO UPDATE SET
average = excluded.average,
score_count = excluded.score_count,
updated_at = excluded.updated_at
SQL
end
end