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class CycleAnalytics
def issue
calculate_metric(Queries::issues,
-> (data_point) { data_point[:issue].created_at },
Queries::issue_first_associated_with_milestone_or_first_added_to_list_label_time)
end
def plan
calculate_metric(Queries::issues,
Queries::issue_first_associated_with_milestone_or_first_added_to_list_label_time,
Queries::issue_closing_merge_request_opened_time)
end
def code
calculate_metric(Queries::merge_requests_closing_issues,
-> (data_point) { data_point[:merge_request].created_at },
Queries::mr_wip_flag_removed_or_assigned_to_user_other_than_author_time)
end
def review
calculate_metric(Queries::merge_requests_closing_issues,
Queries::mr_wip_flag_removed_or_assigned_to_user_other_than_author_time,
Queries::mr_first_closed_or_merged_at)
end
def staging
calculate_metric(Queries::merge_requests_closing_issues,
Queries::mr_merged_at,
Queries::mr_deployed_to_any_environment_at)
end
def production
calculate_metric(Queries::merge_requests_closing_issues,
-> (data_point) { data_point[:issue].created_at },
Queries::mr_deployed_to_production_at)
end
private
def calculate_metric(data, start_time_fn, end_time_fn)
times = data.map do |data_point|
start_time = start_time_fn[data_point]
end_time = end_time_fn[data_point]
if start_time.present? && end_time.present?
end_time - start_time
end
end
median(times.compact)
end
def median(coll)
return if coll.empty?
size = coll.length
(coll[size / 2] + coll[(size - 1) / 2]) / 2.0
end
end
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