canvas-lms/lib/outcomes/result_analytics.rb

102 lines
3.4 KiB
Ruby

#
# Copyright (C) 2013 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/>.
#
module Outcomes
module ResultAnalytics
# Public: Queries learning_outcome_results for rollup.
#
# opts - The options for the query. In a later version of ruby, these would
# be named parameters.
# :users - The users to lookup results for (required)
# :context - The context to lookup results for (required)
# :outcomes - The outcomes to lookup results for (required)
#
# Returns a relation of the results, suitably ordered.
def find_outcome_results(opts)
required_opts = [:users, :context, :outcomes]
required_opts.each { |p| raise "#{p} option is required" unless opts[p] }
users, context, outcomes = opts.values_at(*required_opts)
# TODO: need to worry about user sharding
order_results_for_rollup LearningOutcomeResult.where(
context_code: context.asset_string,
user_id: users.map(&:id),
learning_outcome_id: outcomes.map(&:id),
)
end
# Internal: Add an order clause to a relation so results are returned in an
# order suitable for rollup calculations.
#
# relation - The relation to add an order clause to.
#
# Returns the resulting relation
def order_results_for_rollup(relation)
relation.order(:user_id, :learning_outcome_id)
end
# Public: Generates a rollup of each outcome result for each user.
#
# results - An Enumeration of properly sorted LearningOutcomeResult objects.
# The results should be sorted by user id and then by outcome id.
#
# Returns a hash of the results:
# {
# user: the associated user object,
# scores: [{
# outcome: the outcome object
# score: the rollup score for all the user's results for the outcome.
# }, ..., repeated for each outcome, ...]
# }
def rollup_results(results)
results.chunk(&:user_id).map do |_, user_results|
{
user: user_results.first.user,
scores: rollup_user_results(user_results),
}
end
end
# Internal: Generates a rollup of the outcome results, Assuming all the
# results are for the same user.
#
# user_results - An Enumeration of LearningOutcomeResult objects for a user
# sorted by outcome id.
#
# Returns a hash of the rollup:
# {
# outcome: the outcome object
# score: the rolled up score for all the results.
# }
def rollup_user_results(user_results)
outcome_scores = user_results.chunk(&:learning_outcome_id).map do |_, outcome_results|
{
outcome: outcome_results.first.learning_outcome,
score: outcome_results.map(&:score).max
}
end
end
class << self
include ResultAnalytics
end
end
end