gitlab-org--gitlab-foss/app/models/cycle_analytics.rb

79 lines
2.5 KiB
Ruby

class CycleAnalytics
attr_reader :from
def initialize(project, from:)
@from = from
@queries = Queries.new(project)
end
def as_json(options = {})
{
issue: issue, plan: plan, code: code, test: test,
review: review, staging: staging, production: production
}
end
def issue
calculate_metric(@queries.issues(created_after: @from),
-> (data_point) { data_point[:issue].created_at },
[@queries.issue_first_associated_with_milestone_at, @queries.issue_first_added_to_list_label_at])
end
def plan
calculate_metric(@queries.issues(created_after: @from),
[@queries.issue_first_associated_with_milestone_at, @queries.issue_first_added_to_list_label_at],
@queries.issue_first_mentioned_in_commit_at)
end
def code
calculate_metric(@queries.merge_requests_closing_issues(created_after: @from),
@queries.issue_first_mentioned_in_commit_at,
-> (data_point) { data_point[:merge_request].created_at })
end
def test
calculate_metric(@queries.merge_requests_closing_issues(created_after: @from),
@queries.merge_request_build_started_at,
@queries.merge_request_build_finished_at)
end
def review
calculate_metric(@queries.merge_requests_closing_issues(created_after: @from),
-> (data_point) { data_point[:merge_request].created_at },
@queries.merge_request_merged_at)
end
def staging
calculate_metric(@queries.merge_requests_closing_issues(created_after: @from),
@queries.merge_request_merged_at,
@queries.merge_request_deployed_to_production_at)
end
def production
calculate_metric(@queries.merge_requests_closing_issues(created_after: @from),
-> (data_point) { data_point[:issue].created_at },
@queries.merge_request_deployed_to_production_at)
end
private
def calculate_metric(data, start_time_fns, end_time_fns)
times = data.map do |data_point|
start_time = Array.wrap(start_time_fns).map { |fn| fn[data_point] }.compact.first
end_time = Array.wrap(end_time_fns).map { |fn| fn[data_point] }.compact.first
if start_time.present? && end_time.present? && end_time >= start_time
end_time - start_time
end
end
median(times.compact.sort)
end
def median(coll)
return if coll.empty?
size = coll.length
(coll[size / 2] + coll[(size - 1) / 2]) / 2.0
end
end